Macropore structure, permeability and mechanical properties of Al2O3/Al composites prepared from different aluminum powders.
\r\n\tThe objective of this book is to provide a state-of-the-art review of the use of timber in building construction from various perspectives, including manufacturing, fabrication, modeling, design, and construction of residential and other types of buildings. Of special interest will be contributions related to new developments in timber technologies, design, construction, testing, sustainability, LCA, building envelope, and the performance of timber buildings in natural and man-made hazard conditions.
",isbn:"978-1-83768-263-8",printIsbn:"978-1-83768-262-1",pdfIsbn:"978-1-83768-264-5",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"356565153fc7e43f1bf0cb7ba5e7b28a",bookSignature:"Prof. Ali M. Memari",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/12057.jpg",keywords:"Wood, Lumber, Timber Industry, Home Building, Glue-Laminated Wood, Cross-Laminated Timber, Plywood, Fire Resistance, Sustainability, Fabrication, Panelized/Modular, Material Properties",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 31st 2022",dateEndSecondStepPublish:"June 28th 2022",dateEndThirdStepPublish:"August 27th 2022",dateEndFourthStepPublish:"November 15th 2022",dateEndFifthStepPublish:"January 14th 2023",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"4 days",secondStepPassed:!0,areRegistrationsClosed:!1,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"Dr. Memari is a Professor and Bernard and Henrietta Hankin Chair in Residential Building Construction in the Departments of Architectural Engineering and Civil and Environmental Engineering. During his 30 years of teaching in structural engineering, his research focused on the behavior of structural, architectural, and enclosure components of residential and commercial buildings under natural hazard loading and environmental conditions. He has published over 300 publications.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"252670",title:"Prof.",name:"Ali",middleName:null,surname:"M. Memari",slug:"ali-m.-memari",fullName:"Ali M. Memari",profilePictureURL:"https://mts.intechopen.com/storage/users/252670/images/system/252670.jpg",biography:"Dr. Memari is a Professor and Bernard and Henrietta Hankin Chair in Residential Building Construction in the Departments of Architectural Engineering and Civil and Environmental Engineering at Penn State, and Director of The Pennsylvania Housing Research Center. During his 30 years of teaching and research experience, he has taught various courses related to structural\r\nengineering. He has focused his research on full-scale laboratory testing characterization and evaluation of residential and commercial buildings with respect to structural, architectural, and envelope components under gravity and lateral loads that simulate natural hazards (earthquakes/wind-storms), as well as environmental effects involving building science aspects (heat transfer, air leakage and moisture transport) through building enclosure. He has over 300 publications, including papers in journals and conference proceedings, book chapters, edited books, magazine articles, and research reports.",institutionString:"Pennsylvania State University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Pennsylvania State University",institutionURL:null,country:{name:"United States of America"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"11",title:"Engineering",slug:"engineering"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"444315",firstName:"Karla",lastName:"Skuliber",middleName:null,title:"Mrs.",imageUrl:"https://mts.intechopen.com/storage/users/444315/images/20013_n.jpg",email:"karla@intechopen.com",biography:"As an Author Service Manager, my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact."}},relatedBooks:[{type:"book",id:"10198",title:"Response Surface Methodology in Engineering Science",subtitle:null,isOpenForSubmission:!1,hash:"1942bec30d40572f519327ca7a6d7aae",slug:"response-surface-methodology-in-engineering-science",bookSignature:"Palanikumar Kayaroganam",coverURL:"https://cdn.intechopen.com/books/images_new/10198.jpg",editedByType:"Edited by",editors:[{id:"321730",title:"Prof.",name:"Palanikumar",surname:"Kayaroganam",slug:"palanikumar-kayaroganam",fullName:"Palanikumar Kayaroganam"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1373",title:"Ionic Liquids",subtitle:"Applications and Perspectives",isOpenForSubmission:!1,hash:"5e9ae5ae9167cde4b344e499a792c41c",slug:"ionic-liquids-applications-and-perspectives",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/1373.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"2270",title:"Fourier Transform",subtitle:"Materials Analysis",isOpenForSubmission:!1,hash:"5e094b066da527193e878e160b4772af",slug:"fourier-transform-materials-analysis",bookSignature:"Salih Mohammed Salih",coverURL:"https://cdn.intechopen.com/books/images_new/2270.jpg",editedByType:"Edited by",editors:[{id:"111691",title:"Dr.Ing.",name:"Salih",surname:"Salih",slug:"salih-salih",fullName:"Salih Salih"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"16705",title:"Porous Ceramic Matrix Al2O3/Al Composites as Supports and Precursors for Catalysts and Permeable Materials",doi:"10.5772/19031",slug:"porous-ceramic-matrix-al2o3-al-composites-as-supports-and-precursors-for-catalysts-and-permeable-mat",body:'Al/Al2O3 composites are widely regarded as promising construction materials (Yun et al., 2002; Watari et al., 2000; Saiz & Tomsia, 1998). Methods used for production of such materials traditionally include high-temperature processing. As a result, such materials have a low porosity and can not be used in adsorption and catalytic processes.
Meanwhile, permeable systems based on porous powder materials (PPM) – metals or oxides, are widely used as supports for catalysts and membranes (Sabirova et al., 2008; Ismagilov et al., 1997; Lee, 2003; Wang et al., 2004; Vityaz et al., 1987). When combined with catalysts (catalytically active components), permeable materials manufactured as membranes can substantially change selectivity to products of catalytic reactions (Rohde et al., 2005). Unfortunately, the amount of the active component that can be incorporated into traditional PPM is limited by poorly developed microporous and mesoporous structure of such materials. Porosity also declines during high-temperature processing required for production of mechanically durable products. For example, specific surface area of ceramic membranes based on alumina does not exceed 9 m2/g with average diameter of macropores about 0.12 m (Ismagilov et al., 1997). The specific surface of PPM and metal powders is significantly lower. Attempts of increasing the mesoporous component in PPM prepared from metal powders by filling macropores with suspensions resulted in substantial decrease of the average size of transport macropores and PPM permeability (Wang et al., 2004).
It was shown earlier that during hydrothermal oxidation (HTO) aluminum-containing powders are cemented into a robust macroporous monolith with relatively high specific surface area due to partial aluminum oxidation by water (Tikhov et al., 2005). During calcination the formed aluminum hydroxides are decomposed yielding nano(meso)porous component in Al2O3/Al ceramometals (cermets) localized in their oxide ceramic part. Particles of remaining aluminum are evenly distributed in the oxide matrix. A typical relief of the fracture face of Al2O3/Al cermet prepared by oxidation of aluminum powder by water at 100°C followed by calcination in air at 550°C is shown in Fig. 1. One can see that aluminum particles are covered by a porous oxide film.
SEM micrograph of Al2O3/Al cermet prepared from ASD-4 powder: a – aluminium core, b - porous alumina matrix.
Depending on the degree of aluminium oxidation during HTO and calcination temperature, the nano- and macroporous structure of the materials can be varied in a broad range (Tikhov et al., 2004; Rat’ko et al., 2004). The macroporous structure and permeability of the porous composites can be varied by changing the size and shape of the aluminum precursor particles. In addition, the mesoporous structure of aluminum oxide in the cermets can be tuned by mixing aluminum powder with aluminum oxides or hydroxides (Tikhov et al., 2004). In this paper we shall report the results of studying the properties of permeable cermets prepared from aluminum powders PAP-2, ASD-1 (Tikhov et al., 2004), ASD-4 and a mixture of aluminum powder PA-4 with the product of gibbsite thermal activation (Zolotovskii et al., 1997). The effects of the synthesis parameters on structural-mechanical and catalytic properties of cermets in isobutane dehydrogenation will be discussed.
Typical XRD patterns of Al2O3/Al cermets are presented in Fig. 2. They include intense narrow peaks corresponding to 111, 220, and 200 reflections of aluminum phase. In addition, the XRD patterns contain weak broad peaks corresponding to 311, 400, 511, 440 reflections of aluminum oxide spinel phase [Tsybulya & Kryukova, 2008]. The phase composition of the aluminum oxide can not be characterized in more detail due to its poor crystallinity.
A comparison of the intensity of 440 peak of Al2O3 with that of 220 peak of Al shows (Fig. 2) that the content of aluminum oxide in the Al2O3/Al composites grows in the sequence: ASD-1<ASD-4<PAP-2. Quantitative estimates of the oxide content based on the earlier reported calibration curve (Tikhov et al., 2004) are shown in Table 1.
The differences of the oxide content in cermets are mostly due to different reactivity of the used aluminum powders at the initial hydrothermal oxidation stage (Tikhov et al., 2007). Aluminum is practically not subjected to any oxidation during calcination in air at 550°C. Hence, variation of the aluminum reactivity with respect to water allows to tune the content of the oxide phase in the Al2O3/Al cermets.
XRD patterns of Al2O3/Al cermets prepared from different aluminum powders.
Qualitative analysis of the cermet macrostructure (Fig.3a,b,c) shows that it substantially depends on the type of the aluminum powder. The loosest packing of the monoliths is typical for cermets produced from PAP-2 powder. Averaged characteristics of the obtained materials estimated by the Darcy and “bubble point” methods (Vityaz et al., 1987; Khasin, 2005) using supports in the form of porous disks made of PTK-grade titanium foam (average pore size 120 m, diameter 30 mm) containing the studied cermet deposited on their external surface by HTO followed by calcination are also very different (Table 1). The average pore diameter determined by this method increases from 1 to 22 m in the series of cermets ASD-4<ASD-1<PAP-2. The maximum pore size varies in a similar order. The permeability coefficients of obtained materials also differ by more than a factor of 50 correlating with the average pore size (Table 1).
SEM micrographs of porous Al2O3/Al composites prepared from different aluminum powders: (a) - ASD-1, (b) – ASD-4, (c) – PAP-2. (LEO 1455VP,“Tescan"; JEOL JSM-6460V).
Comparison of the macropore structure parameters (Table 1) with a qualitative analysis of the macrotexture (Fig. 3) shows that a decrease of the average size of cermet particles aggregates decreases the average size of macropores and permeability. The average size and shape of particles in cermets are determined by the particles of the aluminum source powder used for synthesis. According to the data obtained by the Koulter method, the average particle size changes as follows: ~ 33 m (ASD-1), ~ 12 m (ASD-4), ~ 5 and ~ 35 m (PAP-2) (Table 1). This trend qualitatively matches the results obtained by SEM (Table 1, Fig. 3). Larger average particle sizes obtained by the Coulter method for ASD-1 and ASd-4 samples in comparison with the SEM data are due to partial aggregation of the aluminum powder during its preparation or storage. Substantial variation of the particle size obtained for PAP-2 is, most likely, due to the flat shape of the particles that are also partially aggregated.
The differences in the shape and average sizes of porous cermet particles are quantitatively expressed in the loading density of aluminum powder in a die before HTO. For example, the loading density is about 1.6-1.8 g/cm3 for ASD-4, about 1.3-1.4 g/cm3 for ASD-1 and about 0.3-0.4 g/cm3 for PAP-2. In turn, the loading density is largely determined by the size and shape of aluminum particles. The flat shape of partially aggregated PAP-2 particles is known to result in substantially lower filling density compared to round particles (Tikhov, 2004 [8]). Round particles typical for ASD-1 and ASD-4 aluminum source (Tikhov et al., 2004) provide for a denser packing. Apparently, different particle packing is also preserved in the obtained cermet monoliths (Fig. 3). As the result, the average size of macropores in PAP-2 monolith is substantially larger. The composite obtained from ASD-4 has the smallest pore size. This is determined by the dimensions of cavities between the aluminum particles that are much larger for ASD-1. The degree of aluminum conversion to hydroxide determining the fraction of oxide in Al2O3/Al cermets has comparatively minor effect on the parameters of the macropore structure (Table 1).
Source aluminum powder | Average particle size of Al0, µm | Permeability coefficient, K×10-13, m2 | Maximum macropore size, µm | Average macropore size, µm | Crushing strength, (), MPa | Al2O3, wt.% | Cermet porosity (),% |
ASD-1 | 33*(25)** | ~3.5 | 12.5 | 6.5 | 11 | ~24 | ~36 |
ASD-4 | 12(5) | 0.4 | 4.5 | ~1 | 12 | ~44 | ~57 |
PAP-2 | ~5.4, 35 | 20 | ~63.5 | 22 | 23 | ~94 | ~42 |
Macropore structure, permeability and mechanical properties of Al2O3/Al composites prepared from different aluminum powders.
Thus, depending on the particle shape, the character of the macropore structure and permeability of the composite materials prepared using hydrothermal aluminum oxidation can be substantially varied.
A comparison with known permeable systems (Khasin, 2005) shows that smaller pores about 5-8 m are formed when copper powder is strongly pressed together with combustibles. This pore size corresponds to permeability coefficient about 10-14-10-13 m2. The permeability coefficient of macroporous ceramic supports prepared by extrusion of pastes containing aluminum hydroxides and -Al2O3 powder followed by calcination at 1200°C was estimated to be about ~10-14 m2 (Ismagilov et al., 1997). Furthermore, the mechanical strength of ceramics (~0.8 MPa) proved to be substantially lower than that of PAP-2 monolith. This result opens great prospects for production of permeable materials with complex geometrical shapes from aluminum powder.
Dependence of crushing strength () on porosity () for PPM is expressed by Balshin’s empirical relation (Leonov et. al., 1998; Balshin, 1972):
Here m is the ratio of the total mass of the material to its mass subjected to the mechanical loading; 0 is the crushing strength of a non-porous body of the same composition. Equation (1) reflects a well-known trend that the strength of solids decreases when their porosity grows. This relation is valid for most porous cermets prepared using the HTO stage (Tikhov et al., 2000a; Tikhov et al., 2004a; Tikhov et al., 2004b). However, a comparison of the porosity and strength values reported in Table 1 suggests that the Balshin’s relation is not valid for this PPM series. In particular, the cermet prepared from ASD-1 is approximately as strong as that made from ASD-4 despite substantially different porosity.
Most likely, this effect is related to a substantial difference in the character of contacts between particles forming PPM. According to (Rebinder et al., 1965), the crushing strength of a porous material () is proportional to the number of contacts between particles (N), the surface area of the contact (Si) and mechanical strength of the contact unit surface area (i):
Apparently, the Balshins’s relation is valid only when one or several parameters of Eq. (2) vary only slightly. An abrupt change of parameters
Dependence of porosity () and crushing strength () on the calcination temperature for Al2O3/Al composite prepared from PAP-2.
Another example of a deviation from the Balshin’s relation is a weak dependence of the crushing strength on porosity when the temperature of preliminary calcination of the ceramic granules increases (Fig. 4). In this case high-temperature sintering may also lead to the growth of contact surface area due to the surface diffusion or strengthening of a single contact due to its better crystallization.
Overall, one should take into account that porous ceramic supports, which are chemically the closest analogs of our materials, usually have substantially lower mechanical strength at comparable parameters of the macropore structure (Ismagilov et al., 1991). So, ceramometallic PPM with the aluminum oxide matrix may have great prospects in various applications.
One of the most remarkable properties of composites prepared by cementing aluminum-containing powders under hydrothermal conditions is the presence of developed nano (micro, meso) porous structure formed by primary aluminum oxide nanoparticles and their aggregates. These particles are formed during thermal decomposition of aluminum hydroxides obtained from aluminum metal particles at the HTO stage. Qualitatively, differences in the size and shape of nanoparticles can be seen even in SEM images despite substantial limitations in resolution (Fig. 5). The largest aggregates of particles are typical for PAP-2. Meanwhile, the smallest particle size (< 0.1 m in diameter) is observed for ASD-4. The aggregates of the oxide formed from ASD-1 have an intermediate size.
Specificity of the microstructure of alumina aggregates on the surface of aluminum particles inside Al2O3/Al cermets prepared from different powders according to SEM data: (a) – ASD-1, (b) – ASD-4, (c) – PAP-2.
Averaged quantitative information on nanopores can be obtained from the analysis of adsorption-desorption isotherms. The isotherm presented in Fig. 6a and the pore size distribution (Fig. 6b) are typical for all PPM synthesized by HTO of aluminum powders and calcined at 500-700°C. According to the IUPAC classification (Gregg & Sing, 1982), the isotherms are close to type II, whereas the capillary condensation hysteresis loops are similar to type H3 (Fenelonov, 2002). The latter is typical to slit-like pores formed by flat parallel particles. The data reported in Table 2 show that the surface area and volumes of PPM nanopores may substantially vary depending on the type of the Al source powder and HTO conditions. At similar calcination temperatures the total surface area and volume of PPM nanopores usually increase when the fraction of highly porous aluminum oxide increases. Therefore, the highest values of these parameters were obtained for PPM prepared from PAP-2 that has ~90% aluminum conversion.
The characteristics of the alumina nanopore structure in the composites can be estimated more precisely with the account of the total specific surface area of the composite (S) and the fraction of oxide in it by calculating the specific surface area of the oxide (SAl2O3) according to Eq. (3).
Here is aluminum conversion to aluminum oxide, and X0 = 0.89 is the relative weight change of the solid when all aluminum metal is oxidized (Tikhov et al., 2004a). The values of the aluminum oxide specific surface areas reported in parenthesis (Table 2) show that the specific surface areas of the oxide differ substantially for PPM prepared from ASD-1 and ASD-4 despite the fact that their total specific surface areas are similar. This result is largely related to different ratios of the aluminum hydrothermal oxidation rate to the ageing rate of the HTO products under hydrothermal conditions (Tikhov et al, 2000b). The particle dimensions should increase due to recrystallization of nanoparticles when the relative ageing rate increases, whereas the specific surface area should decrease. For ASD-1 and ASD-4 powders the ageing rates determined by the external HTT conditions were approximately equal. Meanwhile, the rates of Al consumption at the second diffusion-controlled stage of hydrothermal oxidation were substantially different. For ASD-4 this rate was higher by two orders of magnitude (Tikhov et al., 2007). Therefore, the smallest hydroxide (oxide) particles were obtained for this PPM. For PAP-2 the lowest oxidation rate was observed in the diffusion region. This led to a significant growth of the primary particle dimensions and decrease of the alumina specific surface area in comparison with the other samples.
Adsorption-desorption isotherm (a) and nanopore size distribution (b) for Al2O3/Al composite prepared from ASD-4.
Precursor aluminum powder | Specific surface area of Al2O3/Al (Al2O3), m2/g | Nanopore volume (V), cc/g | Nanopore diameter, nm | Reference |
ASD-1 | 52 (221) | 0.05 | 3.8 | (Tikhov et al., 2004a) |
ASD-4 | 54 (318) | 0.05 | 4.7 | - |
PAP-2 | 121 (~121) | 0.16 | 4.7 | - |
Parameters of the nanopore structure of Al2O3/Al composites.
The parameters of the nanopore structure are also substantially affected by the calcination temperature of cermets. The results obtained during investigation of the adsorption characteristics of PPM prepared from PAP-2 and calcined at increasing temperatures are reported in Table 3 and Fig. 7. The adsorption isotherms visibly change from type II to type III according to the IUPAC classification. The hysteresis loop practically disappears at high calcination temperatures (Fig. 7g). This fact is largely related to the changed pore size distribution (Fig. 7 b,d,f,h). Initially the sample had nanopores with a narrow pore size distribution around 4 nm. Additional mesopores with diameter ~ 5 nm appear starting from calcination temperature 850°C. At higher calcination temperatures the relative fraction of the nanopores with the size ~ 4 nm decreases whereas that of the larger pores increases. The average size of these pores grows to 8-10 nm.
The behavior of the specific surface area and volume of nanopores with increasing calcination temperature is somewhat unusual. The initial growth of the specific surface area after the heat treatment at 550°C is due to the thermal dehydration of aluminum hydroxide and formation of Al2O3. The pore size does not change during this process. However, the number of nanopores grows as it is indicated by a two-fold increase of the pore volume. Probably, this effect is due to a deviation of the aluminum hydroxide dehydration from an ideal pseudomorphic transformation (Tikhov et al., 2004a; Tikhov et al., 2004b).
Calcination temperature, ºС | Specific surfacearea, m2/g | Nanopore volume, cc/g | Nanopore diameter, nm |
120 | 86 | 0.07 | 4.7 |
550 | 121 | 0.16 | 4.7 |
650 | 116 | 0.16 | 4.9 |
750 | 107 | 0.16 | 5.0 |
850 | 98 | 0.21 | 5.9 |
950 | 75 | - | - |
1050 | 24 | 0.12 | 9.5 |
Influence of the calcination temperature on the nanopore characteristics of Al2O3/Al composite prepared from PAP-2.
Subsequently, continuous smooth increase of the specific surface area accompanied by the growth of the average pore size is observed with increasing calcination temperature. Until
the calcination temperature of 750°C the volume of nanopores is approximately constant with a minor increase of the pore size. For the sample calcined at 850°C the pore volume substantially grows, decreasing at higher temperatures (Table 3). After calcination at 1050°C the pore volume decreases by almost a factor of two, whereas their diameter increases by the same value. Thus, the specific surface area of samples calcined at 550°C or higher temperatures continuously decreases with calcination temperature. Meanwhile, the changes in the volume of nanopores are not monotonous. Such effects are not typical for aluminum oxide powders. Usually, both the pore volume and specific surface area decrease with the calcination temperature (Khalil, 1998; Zhu et al., 2002). However, for granulated aluminum oxides with a large amount of macropores in some cases a small growth of the total pore volume with the temperature of calcination was observed, while their micropore volume and specific surface area decreased (Boreskov et al., 1951). Such effect is, most likely, due to the specific features of sintering of primary aluminum oxide nanoparticles in granulated ceramics. The mechanism of the nanoparticle sintering may be attributed to “internal” sintering due to surface diffusion (Geguzin, 1984), when the growth of particles and decrease of the free surface energy is not accompanied by the pore structure “densification”, so that the total pore volume remains approximately constant. This process is possible due to the growth of nanoparticles and formation of separate particles (dense or low-porous) with sizes substantially exceeding those of nanoparticles present in the initial sample. Adjacent particles merge with such particles. Thus, variation of the aluminum reactivity and calcination temperature allows one to modify the parameters of aluminum oxide nanostructure in PPM.
Adsorption-desorption isotherms (a,c,e,g) and nanopore size distribution (b,d,f,h) of Al2O3/Al composite prepared from PAP-2 after different temperatures of calcination: (a,b) – 120˚С; (c,d) – 650˚С; (e,f) – 850˚С; (g,h) – 1050˚С.
Despite the fact that variation of synthesis conditions and type of aluminum powders makes possible to change the properties of nanoporous oxide component in a broad range, their application is substantially restricted by economic and technological problems. In particular, the problems of cost and application safety are the most important for application of cermets as catalyst supports. In this respect, such powders as ASD-1 and similar to it PA-4 are more promising that PAP-2 or ASD-4. The main drawback of the PA-4 powder is a low activity in HTO, which leads to a low surface area and moisture capacity of cermets prepared from it. The last factors are exceptionally important for synthesis of catalysts by impregnation. To improve these parameters, we synthesized supports by blending aluminum powder with the product of gibbsite thermochemical activation (TCA). TCA is amorphous aluminum oxide (Al2O3x1.3 H2O) synthesized by gibbsite dehydration in a pulse mode and characterized by a high chemical activity and ability to be rehydrated to form pseudoboemite in the presence of water vapor (Zolotovskii et al., 1997). During the cermet synthesis TCA is a precursor for additional nanoporous aluminum oxide incorporated in the cermet macropores.
The XRD patterns of the Al2O3/Al cermet prepared from a PA-4 + TCA blend and alumina prepared from TCA are shown in Fig. 8. The aluminum oxide concentration in this cermet is higher compared with those where all alumina was obtained by aluminum oxidation (compare Figures 2 and 8). The structure of aluminum oxide both in the composite and in pure aluminum oxide are close to that of -Al2O3 (Tsybulya & Kryukova, 2008).
XRD patterns of Al2O3/Al cermet prepared from blend of PA-4 + TCA and alumina from TCA.
Catalysts from Al2O3/Al cermets were prepared by incipient wetness impregnation of their calcined granules (3х3 mm cross-section and 3-5 mm length, Fig. 9) with solutions of active component precursors – chromic anhydride and promoters (Pakhomov et al., 2008). In this Chapter we shall report textural properties of the composite supports and catalytic properties of chromium-alumina catalysts in dehydrogenation of isobutane.
Comparison of Figures 1 and 10 proves that the surface texture of cermets prepared with TCA differs substantially from that of cermets without its addition. Primarily, this is a result of introducing a large amount of aluminum hydroxide with aggregates of irregular shape (Fig. 10a). Another reason for the differences in the surface shape is the high calcination temperature (700°C) favoring aluminum melting from the nanoporous ceramic spheres formed during HTO and calcination (Fig. 10b).
General view of granulated Al2O3/Al composites prepared from powdered TCA and PA-4 used as supports for dehydrogenation catalysts.
SEM micrographs of the fracture surface of Al2O3/Al composite granules prepared from powdered TCA and PA-4.
However, this process did not lead to destruction of the cermet support granules or substantial mesoporosity degradation (Table 4). According to the data presented in Table 4, the increase of TCA concentration in the initial blend leads to a continuous increase of the specific surface area, volume and average diameter of nanopores.The total pore volume, which, in addition to nanopores, includes macropores and ultramacropores formed by voids between aluminum particles, aggregates of aluminum oxide formed during TCA decomposition and hollow spheres, also increases. Meahwhile, the fraction of nanopores in the total pore volume grows from 44 to 67%. The aluminum precursors alone (see ASD-1 sample with similar properties in Table 2) are not capable of providing for such developed nanopore structure in cermets.
Sample, TCA content in initial blend, wt.% | Specific surface area, m2/g | Nanopore volume, cm3/g | Total pore volume, cm3/g | Average nanopore diameter, nm |
60 | 97 | 0.25 | 0.35 | 7.3 |
50 | 87 | 0.20 | 0.34 | 6.8 |
40 | 78 | 0.16 | 0.33 | 5.7 |
30 | 64 | 0.12 | 0.27 | 5.9 |
Nanopore textural characteristics of granulated composites prepared from powdered TCA and PA-4 (calcination temperature 700C).
At the same time, the catalytic properties of chromium-alumina catalysts did not change continuously with variation of the TCA concentration in the precursor blend. Maximum isobutene conversion was observed for the sample containing 50% TCA (Fig. 11). This sample is also characterized by the highest selectivity to isobutene. Apparently, this composition has optimum pore structure of the support. In particular it is shown in Fig. 12 that the nanopore structure of the support includes both nanopores with dimensions 3-4 nm (narrow peak) and larger pores with diameters 6-8 nm. The improvement of all nanopore structure parameters is exclusively due to the larger nanopores as the fraction of the smaller ones decreases (Fig. 12). There is certain ratio between the two types of pores in the optimum 50% TCA sample that decreases for the 60% TCA sample (Table 4). It appears that such nanopore structure provides for the optimum structure or size of the catalyst active component.
Dependence of isobutane conversion X (1,3) and selectivity to isobutene S (2,4) at 540C (1,2) and 590C (3,4) on TCA concentration (wt.%) in the initial blends used for preparation of granulated composites CrOx/Al2O3/Al.
The developed macropore structure of the support granules with 3-5 mm size excludes problems of internal diffusion limitations typical for granulated catalysts. Overall, this provides for high isobutene conversion close to the equilibrium one at this temperature (Pakhomov, 2006) and unusually high selectivity (>94%) to the dehydrogenation product (Fig. 11).
Nanopore size distribution of Al2O3/Al composites prepared from blends with different TCA concentrations.
Hydrothermal treatment of blends with aluminum metal powders provides an efficient technique for preparation of mechanically strong monolith composite materials with developed nanopore structure along with a relatively high fraction of macropores. The developed macropore structure provides a high permeability and decreases diffusion limitations inside the porous composite. Changing the reactivity of Al powder particles allows to tune the oxide/aluminum ratio, while their shape affects the monolith permeability. These materials can be used as filters or membrane supports.
Incorporation of precursors of the nanoporous materials in a macroporous system leads to a substantial increase of the nanopore volume. Application of granulated Al2O3/Al composites prepared from powdered blends of aluminum and thermally activated gibbsite as catalysts supports allowed us to prepare catalysts with high activity and selectivity in dehydrogenation of isobutane.
This work was supported by Integrated project of SB RAS and NAS Belorus No 115_3 and T10C-023.
All living beings require healthcare and monitoring, and the requirement increases with age. According to the Department of Economic and Social Affairs of the United Nations Secretariat, the elderly population (persons of age 60 years and over) in the world in 2020 was 1049 million and is projected to be 1,198 million in 2025, or 15% of world population [1]. Healthcare is expensive and the treatment and its management require a lot of data collection. Occurrence of pandemics amplifies healthcare requirement for living beings of all ages, and more so for geriatric subjects, pressurizing the healthcare systems. Medical cost trends are increasing all over the world for multiple reasons and are expected to maintain an upward trend in the future, irrespective of the healthcare models used by the different countries in the world. According to a study by PricewaterhouseCoopers Health Research Institute, there will be a 7% medical cost trend in 2021, a percent above the trend in 2020 [2]. A study on healthcare spending by Peterson foundation reported that during 2019, the spending was close to $3.8 trillion, or $11,582 per person in the U.S. These costs are expected to climb to $6.2 trillion—roughly $18,000 per person by 2028 [3].
In most healthcare systems, rocketing expenses, insufficient staffing, medical inaccuracies, and the incapability of the patient to get to a hospital in time are adding to the workload of the already overloaded existing healthcare provisions. Vital parameters for living subjects often require monitoring that needs appropriate sensors. Use of wires for sensor data transfer requires the patient to be either stationary or that sensors, electronics, wires, and human-machine interface (HMI) unit, all move with the subject. A wired monitoring system impacts the mobility of the subjects. It is also a major inconvenience to patients if they must visit hospitals every time for getting the readings of vital parameters taken. Such monitoring done only during hospital visits is not continuous, gives the healthcare professionals merely a snapshot of the patient’s health parameters for a short time window, and is hence neither efficient nor perfectly reliable. Mobility of geriatric patients using such a wired system could be even more difficult. Quite a few times, the subject does not need to be confined to a bed and the health parameters still need to be monitored. The traditional healthcare monitoring sensor system designed using wired connections is cumbersome and impracticable for such applications.
There is a strong need for ubiquitous and pervasive monitoring of physiological, biochemical, and physical parameters in any environment without activity constraint and behavior alteration for managing patients with chronic ailments and geriatric care. Other important use cases could include general monitoring of well-being of any subject, performance evaluation of sportspersons and deployed soldiers and other applications involving travel and distant patients.
With recent advances in wireless technologies, it is possible to get rid of the wires and relay the data from the sensors to the HMI unit over wireless links, often via multiple hops across wireless transceivers built into the IoT sensors, thus creating an Internet of Things - Healthcare Sensor Network (IoT-HSN) that can exist in or around the subject’s body.
To address the design requirements of an IoT-HSN, the technical issues that need to be focused on include the necessity for wearable or implantable devices with better sensor design, power source miniaturization with possible energy harvesting, biocompatibility, Micro Electro-mechanical Systems (MEMS) integration, low power wireless communication, secure data transmission and seamless incorporation with smart therapeutic schemes. The design would also benefit from redundancy and complementary sources of data to boost the information content and lessen systematic and random errors in sensor data. What is even more important is that such a system must do this inexpensively.
Non-intrusive, ambulatory, continuous, yet economical health monitoring systems using IoT-HSNs are now being developed to achieve a better and complete picture of health diagnosis and reduce the cost of healthcare. In this approach, multiple miniature, battery-powered, networked wireless sensor devices can be attached to or implanted inside the subject’s body. These devices sense and collect data on subject’s vital signs and transmit the data wirelessly to a central device implemented in a personal digital assistant (PDA) or a smartphone that collects and sends the data to a base station over an external network making them available to healthcare personnel for further assessment and analysis. The system obviates the need for wires that restrict the subject’s movement and confine the subject, thus making ubiquitous but unobtrusive monitoring possible.
While IoT-HSNs are extremely useful and the need of the day, human tissue can be harmed by the heat produced by the electronic circuitry for the sensor node and antenna. This paper tries to address this issue related to IoT-HSNs in a novel way at the physical and data-link layer level.
For prevention and complex intermediation, clinical practice relies heavily on early, truthful, and thorough diagnosis supported by tight scrutinizing of the results. To obtain qualitative and quantitative data for physiological parameters for living beings, a variety of sensors have traditionally been in use. These sensors need to convey their data to an HMI unit that can collect, analyze, and display the data in a variety of formats for use by healthcare personnel and store the data for future use. Traditionally, such data is relayed over wires to the HMI unit. The complexity of such a system increases with the number of physiological parameters being monitored. However, for the most part, this practice depends on a sequence of snapshots of physiological, bio-mechanical, and biochemical data which might not capture transient abnormalities reliably. An objective determination of a patient’s recovery after diagnosis can be tricky due to the episodic and subjective nature of outpatient clinic assessment.
Vital signs monitoring systems for hospital ward-based patients have a propensity to be intensive on labor as they involve manual measurement and documentation, which also makes them prone to human error. Such systems restrict patient movement which might be redundant in several cases and can be benefited immensely by using wireless sensors. Automation of this process using wireless sensors with the capacity to pervasively observe patients wherever they are, not just on a hospital bed, is suitable to the patient as well as the healthcare provider.
Acute as well as chronic disease management through clinical medicine, health monitoring and healthcare delivery need to involve home and community settings and require radical changes in system design. Close monitoring of some patients needs to be made possible with safe early discharge without hospitalization being necessary, also reducing the cost for the patient and improving hospital bed availability. The pandemic has already proved that availability of hospital beds and their management can be extraordinarily challenging and critical at times.
There are rapid changes happening in the social and economic structure of our society connected to demographic variations associated with increase in vulnerable aging population living alone, a sizable part of which constitutes the high-risk group that would benefit immensely by regular and non-intrusive healthcare monitoring. The volume of this group is set to expand, along with its prospective need upon healthcare resources because people in industrialized countries are living longer than ever before and average life expectancy has improved to more than 65 years [4].
The incapacity of the elderly residents to get medical assistance early enough for simple and treatable conditions may lead to substantial morbidity. Inclement and extreme weather conditions and the fact that they live alone could be two major factors responsible for delayed medical intervention that could make things worse. It is an additional consideration if they live in rural areas. There is an acute need for unobtrusive monitoring of such patients in their home environment in any weather for earlier detection of any worsening in their condition, so that they can be promptly treated, thus reducing the necessity for hospital admission, related morbidity and even chances of mortality.
In recent times, the focus of healthcare also altered towards the general health and wellbeing of the populace rather than just the supervision of disease advancement or the effectiveness of therapeutic processes. Several healthy people actively monitor their health parameters because of increasing awareness towards healthy living these days. This is required for patients as well. Certain critical health-related events might not occur in the time window when the patient is in front of healthcare professionals. Such events could be missed, make a difference to the diagnosis and treatment, and thus create room for error. Therefore, several patients require health monitoring although they do not have to live in a hospital for this purpose.
Health is defined as “a state of comprehensive physical, mental and social well-being and not simply the non-existence of illness of infirmity” by the World Health Organization (WHO) [5]. Blocking disease through campaign of healthy lifestyle choice is a prospective cost-effective methodology to address contemporary healthcare risks [6]. The healthcare approach is shifting towards watching lifestyle behaviors and intervening when essential.
Selections such as smoking and alcohol, diet, sleep, physical activity, have all been linked with numerous medical conditions. The cardiovascular disease is one of the most documented illnesses related to lifestyle choices today [7]. Undesirable lifestyles that lead to chronic conditions need to be advocated against, in favor of promotion of healthy living with prevention and early intervention of ailments. There is plenty of evidence to link inactivity with poor physical condition which is why physical activity monitors are commonly available today and are still evolving for better efficiency [8].
The user-friendly software that comes with these activity monitor sensors is true value addition because it permits customized activity targets to be established, and progress towards those targets to be presented at any time or archived and examined later. The software can help with weight monitoring and management as well as diet tracking. Such monitors have demonstrated that they enhance quality of life as much as expensive, overseen workout programs [9].
Anomalies of heart rhythm (arrhythmias) are frequently confronted in clinical practice, affecting almost 4% of the populace beyond the age of 60, rising with age to roughly 9% in people above 80 [10]. Heart failure affects up to 10% of patients who have attained an age of 65 years [11]. Early symptoms of atrial fibrillation arrhythmias include fatigue and palpitations, and often lead to the patient seeking medical advice. Averting the longer-term issues of tachycardia (rapid heart rate induced) involving cardiomyopathy (expansion of the heart causing pump failure) and stroke in such patients becomes crucial. Prospective bleeding problems caused by anticoagulant medication affect an escalation in mortality in this geriatric patient cluster, in addition to other risk factors [12]. Continuous and pervasive monitoring of heart rate is desirable for several patients and the elderly.
One of the principal vital signs, the systemic arterial pressure (ART) outcomes from the pressure exerted by the circulating blood in the large arteries and is then measured within large arteries in the systemic circulation in mmHg units. The parameter is dependent upon cardiac output and total peripheral resistance and its value varies with each heartbeat in accordance with the pumping action of the heart. All levels of ART exert some systematic stress on the arterial walls. Arterial pressure directly relates to cardiac output, arterial elasticity, and peripheral vascular resistance [13]. It is vital for the subject’s body to be capable of adjusting to acute changes in arterial pressure and for the subject to obtain medical therapy or lifestyle modifications for chronic variations. Arterial pressure regulation is required to sustain a sufficiently high pressure that permits appropriate perfusion of body organs and tissue; but not high enough to cause harm. The connected medical condition is known as essential hypertension and is seen in roughly 95% of patients with hypertension [14, 15]. Treating hypertension is crucial because it can cause cerebral, cardiac, and renal problems. As it is a key parameter connected to the cardiac condition of the subject, the author decided to choose the analysis of this parameter as a representative of vital signs for the present work while the author dealt with data for several other equally important parameters.
Atrial fibrillation is known to have several associated complications such as hypertension or high blood pressure. High blood pressure is known to affect nearly one billion persons globally [16] and can relate to cardiac problems. Early identification of hypertension is vital, but its monitoring can be labor-intensive and might involve several clinic visits.
The technology for new biological sensing modalities has started emerging and it aims at basically transforming the way we utilize bio-measurements in a truly customized monitoring platform that is smart and context-aware, yet imperceptible. An IoT healthcare sensor network (IoT-HSN) consists of one or more wireless sensor devices positioned on, in, or around the human body. The sensor devices sense and collect data from the human body and then transmit the data to a central device, called a Coordinating Sink Station (CSS) or simply sink, that can be implemented as an application in a smartphone or PDA. After collecting all information, this sink then forwards the data to the medical workers through external networks.
Thus, the idea behind an IoT-HSN is to perform the monitoring of human well-being in a “ubiquitous” and “pervasive” way keeping an eye on physiological, biochemical, and physical parameters in any environment – home or hospital, without constraint of activity [17, 18]. This idea is rapidly converting to reality with the key innovations in sensors, processor miniaturization, and wireless technologies for transmission of sensor data [19, 20].
Innovations in crucial areas such as miniaturization of power supply, enhanced battery time, lowered energy intake, and power scavenging are vital to the design of such systems and are fast becoming a reality [23]. Use of customized wireless sensor network (WSN) technology for creating pervasive healthcare systems will permit access to truthful medical information irrespective of place and time and will go a long way in improving the quality of healthcare services.
Due to the restricted bandwidth and power constraints in an IoT-HSN, the optimality of conventional method of data acquisition followed by post transmission digital conversion and signal processing is questionable. While it requires resources, bio-inspired local processing at the sensor front-end prior to transmission, combined with behavior profiling, pattern recognition, and machine learning can yield highly optimized bio-monitoring systems.
An IoT-HSN has more challenges than other wireless sensor networks because of several reasons, the most important of them all being the involvement of living subjects. The various design considerations for IoT-HSNs involve size, cost, reliability, data privacy, security, and intrinsic safety of the subject. This paper tries to address some of these issues concerning the intrinsic safety aspect of IoT-HSN design and the energy efficiency of an IoT-HSN.
WSN technology has benefited by miniaturization and cost reduction in creating sensors with computers and wireless transmission capability that are smaller than the size of the pin head [24, 25, 26, 27]. Sensors that can be combined, run on low power, communicate over wireless links, and self-organize into a network have been used in oil and petroleum exploration and industry [25, 28, 29], structural monitoring [29], habitat monitoring [30] and smart homes [31, 32]. Security and scalability of IoT applications and services could also be an issue as addressed in this project aimed at building a Smart Independent Living for Elders (SMILE) home [33, 34] that the author is a part of.
However, the equipment used for these applications cannot address the specific challenges related to human body monitoring. The human body comprises of a complex internal ecosystem that reacts to and interacts with its external environment while staying distinct and self-contained. Hence, although an IoT-HSN is similar in operation to a regular WSN, it comes with an additional set of new challenges. It involves a smaller scale network (made up of miniature sensor nodes each having a small processor, wireless transceiver, and power) that requires a different type and frequency of monitoring and is capable of seamlessly integrating with home, office, and hospital environments.
The IoT-HSN sensor node guarantees the perfect gathering of data from the transducer element used, performs low level local processing of transducer data, and then transmits this data to a Local Processing and Coordinating Sink Station Unit (CSS). The data from all the sensors is collected by the CSS by this method, processed further, fused, and transmitted wirelessly to a central monitoring server [35].
As pointed out earlier, while some of the challenges faced are common to IoT-HSNs and WSNs, there are intrinsic variations between the two, which require special consideration in case of IoT-HSNs. Some of these sensors need to be implanted inside living human tissue. The power source for IoT-HSNs, if exhaustible and hence with finite lifetime, could be inaccessible and difficult to replace in an implantable setting. Energy is more difficult to supply, hence lower the requirement (with options of energy scavenging), the better. Loss of data in an IoT-HSN can be intolerable and may necessitate extra actions to guarantee quality of service (QoS) and real-time data examination capabilities. Human body is capable of movement, so an IoT-HSN is a mobile and dynamically changing network. Motion artifact is a major challenge in IoT-HSNs. Early detection of adverse events is vital in IoT-HSNs because failure of human tissue cannot be reversed. High level security for wireless data transfer is necessary to safeguard patient information and privacy. All these factors change the sensing modalities for IoT-HSN.
IoT-HSN sensor nodes could be located on, around, or inside the human body, with each dissipating some part of its energy consumed as heat and causing temperature increase in its locality. Signals carrying sensor data need to travel through tissue (bones, flesh, and fluids). The longer a node works and transmits/receives data, the more energy is dissipated and converted into heat. Nodes not transmitting or in sleep with low power might not produce significant heat. However, continuous node operation over a period generates heat that cannot be ignored. When implanted nodes are being considered, this generates even higher concern. To balance the heat, the human body has a thermoregulatory system. If the rate at which heat is generated is greater than the rate of working of the thermoregulatory mechanism, the temperature rise can harm the human tissue that absorbs the heat. The temperature rise directly influences human safety and health adversely, as explored in [36, 37].
Due to the lossy nature of the human body, the sensor data might hop through intermediate sensor nodes before reaching the sink node instead of being communicated in a single hop. Natarajan et al. [38] attempted to compare the trustworthiness of single-hop and multi-hop network topologies.
The operation of node circuitry and radiation due to transmission from the antenna produce and discharge heat to the node’s surroundings, which can be injurious to the subject’s body cells beyond a safety threshold. Specific absorption rate (SAR) is a standard quantity that shows the power dissipated per unit mass of tissue. It is a well-known parameter regarding the electromagnetic safety towards the human body and is defined as a measure of the rate at which energy is absorbed by the body when exposed to a radio frequency electromagnetic field, expressed in W/kg [39]. For near-field exposures the upper bound of SAR is 1.6 W/kg for some tissue averaged over a gram according to the Federal Communications Commission (FCC) standard in the United States and is 2.0 W/kg for 10 g of tissue according to the International Commission on Non-Ionizing Radiation Protection (ICNIRP). These SAR values can be translated into temperature rise [36], with the maximum permissible temperature rise in the human head and brain being 0.31°C and 0.13°C (FCC) and 0.60°C and 0.25°C (ICNIRP). The report in [37] also suggests that a temperature increase of 0.1°C is sufficient to cause intense thermoregulatory responses in the human body.
According to a survey on thermal effects of bioimplants by Lazzi [39], the electromagnetic fields induced in the human body and the power dissipated by the implanted sensor nodes are the two main sources of temperature rise. The power dissipation is from three sources: caused by the stimulating electrodes, the implanted telemetry coil, and the implanted microchip.
The in-vitro (implanted) sensor nodes can transmit and receive the data only through a wireless system. The SAR measures the rate of energy absorption by the body per mass of tissue upon exposure to a radio frequency electromagnetic field. It is a standard parameter connected to the electromagnetic safety regarding the human body, expressed in W/kg. According to IEEE standards the acceptable value of SAR is 1.6 W/kg averaged over a gram of tissue and is used for cellular phones by the FCC.
A better hardware design with node and antenna running on lower power can reduce the heating effects. Also, a well-designed network routing protocol could reduce the bioeffects. This work tries to reduce these heating effects even further by reducing the amount of transmission, while trying to preserve the integrity and accuracy of the data within low limits of error as a trade-off of the suggested framework.
As briefly touched upon in the previous section, one of the topmost concerns in the design of IoT-HSNs involve monitoring the heat generated because of operation of sensor network nodes. Electronic activity in the sensor circuitry and antenna radiation dissipates as heat. Power is dissipated by the implanted sensor node electrodes, microchips and the electromagnetic fields induced in the human body from telemetry coils as heat which can cause harm to healthy cells and tissue [40, 41]. For burst data operations that do not last long, such heat can be overlooked. However, when the node is operating continuously, transmitting, and receiving data over a considerable period, the heat generated by the node cannot be neglected. This concern becomes even bigger when dealing with in vivo sensor nodes (i.e., implanted inside the human body). The human body has a thermoregulatory mechanism to balance the heat around the body. However, when the heat received rate is larger than the thermoregulatory mechanism rate, the temperature will rise and, in turn, damage the human tissue.
Routing overheads have a potential to cause additional heat damage. Also, extra energy might be required to implement thermally aware routing algorithms. The challenge is complicated by the fact that the heat and energy consumption, both these factors need to be lowered, because the sensor nodes run on the limited power resource of batteries, while the network throughput needs to be maximized. A trade-off needs to be reached in the design to address these diverse requirements.
There are three types of routing used on IoT-HSN protocols. First, proactive routing where each node has information about the neighbor nodes. Second, reactive routing where the node explores the information about the neighbors when there is a packet to be sent. Third, a hybrid which combines the benefits of two methods (e.g., protocols that use proactive in setup phase and reactive in data transmission phase).
Some approaches to reduce the risks of this heat damage involve designing routing protocols for IoT-HSNs that include temperature into the routing metric to decrease the heat.
The challenges related to IoT-HSNs have been proposed to be addressed through numerous routing protocols. Some approaches have tried to tackle the issue of extreme and dynamic path loss observed in intra IoT-HSN communication caused by postural movement of the subject’s body. The routing scheme by Quwaider and Biswas [42] proposes division of the sensor field combined with store and flood mechanism to route the sensor data towards CSS. Their work in [43] uses a store and forward approach for a delay tolerant intra IoT-HSN communication.
The proposal in [44] uses a field partitioning with store and forward like in [42] based on if or not the sensors have a clear line of sight for communication. The storage of packets in these works makes the routing non real time making the scheme impractical for vital medical applications. The proposals do not take the heterogeneous nature of IoT-HSN data and the thermal effects into account.
In [45] the routing protocol uses a Temperature Aware Routing Algorithm (TARA) to reduce the thermal effects IoT-HSN operation by estimating the temperature rise in neighboring nodes to avoid hotspot nodes. The trade-off involves a delay in routing sensor data packets and additional energy requirement. The Least Temperature Rise (LTR) algorithm [46] tries to address this limitation by associating a hop-count with each data packet and use it for deciding to discard the packet if the hop count reaches a limiting value. The trade-off in this case is poor packet delivery ratio. Adaptive Least Temperature Rise (ALTR) algorithm proposed in [47] is also a thermal aware scheme that uses shortest hops to route packets instead of dropping them. Least Total Route Temperature (LTRT) algorithm [48] observes the temperature across the entire route instead of individual nodes or hop-count for routing decisions. None of these schemes consider the dynamic intra network path loss or the QoS parameters of heterogeneous IoT-HSN data, making their utility questionable.
Djenouri and Balasingham [49] propose to divide the vital sign data into four categories based on data criticality, thus allowing for delay in some parameters and employ two sinks for all data. The latter feature increases network traffic. Razzaque et al. [50] tried to improvise on [49] by using multi-hop transmission to meet QoS requirements of data packets but their algorithm performs poorly on data packet delivery. QoS aware routing used in two proposals by Khan et al. [51, 52] involves classification approaches that are variants of [49]. None of the QoS-aware routing schemes take inter IoT-HSNs communication, path loss or temperature issues into account.
Monowar et al. [53] and Bangash et al. [54] claim to propose QoS as well as thermal aware routing schemes for intra IoT-HSNs. Both schemes classify the sensor data as in [49, 50]. Monowar et al. [53] propose to send multiple copies of data to counter delay issues. This generates redundant additional network traffic, causes congestion and packet drops despite higher energy requirements and rise in temperature while neglecting the dynamic path loss. The proposal by Bangash et al. [54] performs better on these factors but fails to address the issue of reliable, timely delivery of critical data.
Critical Data Routing (CDR) proposed in [55] classifies data into critical and noncritical categories while considering path loss, temperature rise and QoS with decent performance. However, the scheme could benefit by considering additional measures for conserving network energy, which it does not focus on.
The approach in [56] suggests a Media Access Control (MAC) protocol that resorts to shortest hop routing of sensor data packets based on hop counts using a duty cycle decided upon by using the current temperature rise. The duty cycle is calculated using four probability distribution functions- Poisson, Binomial, Lognormal and Laplace. This protocol was chosen by the author for the current article as no other protocol blends thermal awareness with efficient duty cycles. The work uses three models. Of these, the Sensor-Centric Monte-Carlo model (SCMC) involves random sampling from a given finite space [57] while acquiring any temperature rise right from the sensor and not from the surrounding tissues. In the Tissue-Based Fixed Coordinator (TBFC) model, a grid divided control volume of tissue space is considered, like [39, 45, 58] which assumes that the entire IoT-HSN or a major portion of it is within this tissue control volume. The results indicate least packet loss of 30% for Poisson distribution on the duty cycle with the trade off with 80% active nodes that need more energy for IoT-HSN operation. The packet loss was further reduced by enhancing the working of TBFC by adding 1-hop caching mechanism (TBFC-1HC) in which data packets are cached before the node goes to sleep state if the node has not reached its sampling state while the next hop node might be mere one hop from the CSS.
None of these approaches address the issue of improving upon network lifetime. As the approach in [56] provides for best possible compromise for intrinsically safe, thermal and energy aware IoT-HSN design, the author chose on using it for further optimization and improving upon the energy scenario and network operation lifetime.
The author proposes a model which not only addresses temperature rise but is also energy aware and helps in improving network lifetime. For this study, the author used the same IEEE 802.15.4 Wireless based IoT-HSN schematic modeled for [59] to run in the CSS. The 24 channels in the IoT-HSNs were used to mimic relaying of physiological parameters from the subject such as parietal and occipital electroencephalogram (EEG), electroculography, respiratory airflow, oxygen saturation %, heart rate, pacemaker diagnostics, electrocardiogram (ECG), arterial and central venous pressures, respiration rate, thoracic and abdominal resistance, blood pressure and temperature, blood sugar and insulin levels, urine creatinine, nerve conduction, musculature actuator and electromyography (EMG). The study did not involve any human subjects directly because the data utilized were obtained from Physionet [60], a public research database. Of the 24 channels, 3 were used for bioactuators and the remainder were utilized by sensors. Figure 1 shows the biosensors and bioactuators using an adhoc link to communicate with the coordinating sink station which was connected over an adhoc link with the body area network (BAN) gateway which in turn links the biosensors to a IoT-HSN base station. To demonstrate the in-depth analysis and to evaluate the performance of the thermal and energy aware framework proposed in this article, the author has used the arterial pressure parameter from the 24-channel model in the following sections.
Four 24-channel IoT-HSNs in action.
Figure 1 shows four different 24-channel IoT-HSNs P1 to P4 in the vicinity of each other trying to send data to the base station with their performance possibly affected by radio interference. The channels in the IoT-HSN have 802.15.4 adhoc links to the BAN gateway for data transmission. Subsequently, the data is sent through a router to the base station. IoT-HSN P2 transmits its data to a different wired base station that exists on the same subnet. IoT-HSN P3 attempts to send data to its base station which is in a different subnet and uses a second router for connections. The base station for IoT-HSN P4 is a wireless node linked to the wired network via an access point. As human subjects can have different sizes, the placement distance for biosensors varies in the four IoT-HSNs.
While assessing the accomplishment of an IoT-HSN, it becomes vital to evaluate the intrinsic safety aspect of the wireless system and the possible risks of damage to healthy human cells and tissues. As pointed out earlier, the heat generated because of dissipation of wireless energy can cause discomfort to the subject and has the capacity to damage healthy human cells and tissues if endured for long times. For instance, the incessant monitoring of peripheral capillary oxygen saturation (SPO2) levels using a pulse oximeter for over 8 hours would cause a rise of temperature of 43 degrees Centigrade and is hence deemed risky as it could cause burns [61]. The detrimental effects of such sensor radiation caused heating can be evaluated by applying Penne’s bio-heat Equation [62] that offers the heat transfer relationship between the temperature of blood vessels and the tissue surrounding the vessels. IoT-HSNs can follow temperature-aware routing algorithms [63, 64, 65] that consider parameters like antenna radiation and the ensuing power dissipation as temperature rise in the surrounding tissue and make routing decisions to minimize the generation of heat. Combined with an efficient MAC protocol, the thermal-aware routing algorithms can be used for generating transmission and sleep duty cycles that allow a reduced rise in temperature than individual schemes [56]. Although the outcomes in [56] are improved over the other attempts at temperature-aware routing, the approach does not take into consideration the base network energy requirement and additional energy consumption required for retransmissions of lost sensor data. The author attempted to estimate the implementation of the three models in [56] with regards to energy in a network involving actuator control applications with sensors for Internet of Things Healthcare Sensor Networks. The model in [56] uses up to 25 sensors in its IoT-HSN, which is very close to the author’s model involving 24 sensors [59].
All the models considered in the present evaluation study the effect of four probability distributions for network parameters in addition to temperature rise, namely Poisson, Laplace, Binomial and LogNormal. Of the three, the SCMC model is a sensor-centric model that permits a random generation of packets based on a probability distribution while presuming fixed rise and fall in temperatures. A stable solver comprising of a fixed CSS is employed in the TBFC model for a stepped packet generation to offer improved heat performance than the SCMC. The trade-off for the TBFC model is a higher packet loss which is improved in the third model (TBFC-1HC). This modified TBFC model employs ‘one-hop caching’ in sensors to cache data packets for transmission delays up to their one hop neighbor that is nearest to the CSS. Data packets wait for a clear-to-send signal after which they are transmitted to the CSS.
The thermal aware routing algorithms for reducing the amount of heat generated have a trade-off in the form of loss of packets. The lost packets need to be retransmitted. The author tried to assess the data overhead due to retransmission resulting from packet loss for the four distributions across the three models. The results of the comparison can be seen in Figure 2 below. It is evident from the results that of the three models, TBFC fared the worst on the retransmission of packets that were dropped, while SCMC was found to be the best. Comparing the retransmission overhead for the distributions, the Poisson distribution had the lowest values while Log-Normal had the highest retransmission overhead among the four distributions. The work has the potential to be extended by including other distributions involving a more realistic human model.
Number of retransmitted packets in unit time for the three models.
Even if lost transmissions cause additional data traffic due to retransmissions, a data transmission scheme that involves reducing the frequency on transmissions of the sensor data and sending alternate samples as suggested by the author in the next section would effectively cut down the heating effects in the same proportion. Merely skipping alternate samples would reduce the amount of heat generated to half, thereby allowing longer node operation. If the final recreation does not alter the doctor’s initial diagnosis, the sample cut rate can be increased, thereby improving the heat performance to three or even four folds of the default.
A key question related to IoT-HSNs entails the energy-fidelity trade-off. When sensor data is transmitted after processing and transformation, it is expected that the fidelity level of the received data must be acceptable and appropriate to be useful. Any data transformation and transfer need to be done in an energy efficient manner. This requirement advocates for selective processing of collected physiological data samples.
Another major operation and design issue with IoT-HSNs involves improving the lifetime of sensing for sensor nodes and thus that of the networks. The issue is caused due to the constraints on batteries that need to be small in size and cannot pack a lot of power due to this constraint [66, 67]. The sensor nodes collect data samples and relay them to the CSS at an acceptable rate as dictated by the QoS of the physiological parameter. However, the total number of samples collected and transmitted by the sensor does not take the nature and frequency of variations in the physiological parameter into account by default. In this work, an attempt has been made to address the energy-fidelity trade-off [68] by reducing this data content through signal processing techniques. The approach involved selective exclusion of some sample data from transmission. Prediction techniques were used to recreate the missing samples that were not transmitted. The approach used in this work was different from the dual prediction technique proposed by Mishra et al. [69]. Prediction techniques involve approximations that come with errors but if the error is negligible, the recreated signals can be used for an early diagnosis if not for full diagnosis, while the patient is on the way to hospital.
The fidelity of data and the accuracy of information contained would undoubtedly be better if all the data samples sensed by the physiological sensor were transmitted. Although this sampling approach would satisfy the Nyquist criterion, it would result in transmission of several samples which could be predicted with reasonable accuracy using numerical techniques within some range of error. While such data might not truthfully reflect what continuous monitoring would reveal, the medical personnel would still be helped by early diagnosis, planning or determination on the course of action.
The author first reduced the transmitted samples for each of the parameters in the 24-channel IoT-HSNs to half by skipping transmitting alternate samples and tried predicting the skipped samples at the receiving end by using a simple proportional-integral-derivative (PID) scheme and a more computationally involved prediction using non-linear regression involving an artificial neural network (ANN-NLR). The results are shown for a couple of cycles of prediction for the ART parameter in Figure 3. The approximation used in the two prediction strategies generates some error, which is still not too big to alter the characteristics of the ART signal appreciably. This error is shown in Figure 4.
Plots of comparison of prediction performance by PID and ANN-NLR algorithms for arterial pressure.
Error plots of comparison of prediction performance by PID and ANN-NLR algorithms for arterial pressure.
The amount of data was reduced by periodically skipping those samples from the original set and predicting the missed samples at the receiving end. The bulk of data marked for transmission could be further used by delta encoding to pack more amount of data in every transmission [59].
Sample data sets for the 24-channel IoT-HSN involving critical physiological parameters such as ECG, central venous pressure, pulmonary artery pressure and arterial pressure signals obtained from Physionet [60], were used as the source to progressively cut down samples and create four different subsets of the original sets like the approach used in [70]. For the sample analysis and graphical evaluation, the programs were written in in MATLAB r2020 [71].
Alternate samples of each of the original sample sets were used to create the first subset, every third sample was picked up to create the second, every fourth sample for the third set and every fifth sample for the fourth set. Thus, the sample sizes of these sets were half, one-third, one-fourth, and one-fifth of the original, respectively. The four sets were transmitted and recreation of original by a variety of numerical interpolation algorithms was attempted at the receiving end. The reconstructed sets were compared with the original set of samples with all samples intact, and the error was calculated. Figure 5 shows the results of the recreation for the representative ART signal using ANN-NLR prediction after four different rates of sample reductions, with only a few cycles covered for the sake of conciseness. Figure 6 shows the error in prediction for the four sample reductions. A similar analysis was also done on the other signals of the 24-channel IoT-HSN with comparable results. Table 1 shows the particulars of the ART signal used as a representative of the results.
Prediction of skipped samples for four sample elimination rates through pChip.
Error plots for prediction of skipped samples for four sample elimination rates through pChip.
Characteristics | Signal | Signal | Signal |
---|---|---|---|
Minimum | Maximum | Span | |
ART (mV) | 52.35 | 89.6935 | 37.343 |
Signal specifications for the arterial pressure vital sign IoT-HSN parameter.
The signals recreated at the receiver using five different interpolation techniques over reduced samples for the arterial pressure parameter were compared with the original full sample sets for error in prediction by interpolation. The results of the prediction for the ART signal and the associated error analysis for just the cubic interpolation technique are presented in Table 2.
1–6 Sample Reduction | Halved | 1/3rd | 1/4th | 1/5th | 1/6th |
---|---|---|---|---|---|
ART (mV) | 1.58 | 1.67 | 6.01 | 5.65 | 1.02 |
%Error | 0.04 | 0.04 | 0.16 | 0.15 | 1.02 |
Peak error with sample reduction for arterial pressure using cubic interpolation.
Five numerical interpolation techniques – linear, near, Spline, Pchip and cubic were employed for rebuilding the missing IoT-HSN sample data for the parameters of the 24-channel IoT-HSNs at the receiving end. Table 3 shows the comparison between the five techniques for the ART parameter.
Reduced | Nearest | Linear | Spline | Pchip | Cubic |
---|---|---|---|---|---|
1/2 | 0.102 | 0.043 | 0.049 | 0.043 | 0.034 |
1/3rd | 0.104 | 0.082 | 0.039 | 0.045 | 0.057 |
1/4th | 0.12 | 0.166 | 0.158 | 0.161 | 0.162 |
1/5th | 0.212 | 0.159 | 0.143 | 0.152 | 0.152 |
Maximum percentage error values for ART from the five numerical interpolation techniques.
From Table 3, it is evident that the nearest neighbor interpolation algorithm performs the poorest of all but the other four yield lesser error, almost in the same range, with the linear spline interpolation performing better across the sample sets.
Twenty random sets (with 3600 samples transmitted in 10 seconds) of the signals for the 24 channel IoT-HSNs from healthy individuals and patients were employed to assess the performance of the prediction algorithms. The physiological parameters are all different in range, wave-shape, and type of variations. Figure 3 shows the results of error evaluation after reconstructing the signal using the five interpolation algorithms for one such set of values for the ART signal.
The first column in Figure 5 illustrates the signal sets with successive reduction in samples. The second column indicates the reconstruction of lost samples for the corresponding row after data reception done using the Pchip interpolation prediction.
A key requirement of IoT-HSNs is low power wireless which in turn makes signal detection difficult. Low power wireless is required, which makes signal detection more challenging. Common and proven technologies such as Bluetooth, ZigBee, General Packet Radio Service (GPRS) and Wireless Local Area Network (WLAN) might not offer good and optimal solutions to the low power requirement problem.
The growing miniaturization and cost drop on IoT-HSN sensors, circuits and wireless communication electronics is establishing new opportunities for wireless sensor networks in wearable applications. Nevertheless, for sensors to be untethered, the design needs to use wireless communication between nodes along with wireless powering of sensors. This requirement is fulfilled by batteries in most of the portable electronic devices, making them an obvious answer for IoT-HSN wireless applications. However, the batteries have a finite life and require to be replaced or recharged. This limitation presents a cost and convenience penalty which is undesirable in wireless applications including IoT-HSN while the market for such applications and demands grows. One possible solution to this problem involves harvesting energy from the environment for recharging of power sources. Energy scavenging from motion (vibration) and thermal (body heat) sources offer some options for recharging mechanisms that are being investigated. While the power demands of many electronic functions including wireless communication are being actively reduced, energy efficiency of power sources remains a problem because IoT-HSN nodes are intended to operate for a long period of time, especially if they are implanted.
Wireless devices can be powered by primary, or rechargeable batteries. Of these, primary batteries are better in energy densities, shorter in leakage rates and lower in cost. The energy density of Lithium-ion batteries that are most used in electronics, is around 700–1400 J/cc for rechargeables [72], and the figure for primary cells is higher. Batteries used for IoT-HSN applications are preferred to last at least a year. A lifetime of 1 year corresponds to 32 J/micro-watt of average power for an average power requirement of some tens of micro-watts.
Hence, a finite battery-life of some tens of microwatt-years is attainable for a battery under 1 cc. Search for better alternatives is on because such batteries require replacement and have issues related to toxicity, safety, and operating temperature range. While ultracapacitors are drawing rising interest for powering electronics as their energy densities are much higher than those of conventional capacitors, the density still are way lower than those of batteries [73].
Hydrocarbon fuels are known to have very high specific energy in the range of 16 kJ/cc for pure methanol [74] or 31 kJ/cc for iso-octane [75]. For miniature electronics, exhaustible sources of energy that use hydrocarbon fuel of some type are also under review, although primarily for greater power levels. Small, micro-machined and only few inches big external combustion heat engines have been built to provide power for portable electronics that can generate up to 200 micro-watts [76]. Such engines have a disadvantage of moving parts and very high temperatures, and hence fuel cells are also being widely investigated for applications involving low power. In the pure methanol-based device used in [74], the electrochemical reaction of methanol with water after passing through a polymer membrane results in oxidation of methanol producing free electrons and protons and generating high power levels of 195 mW/sq.cm.
Miniature fuel cells for implantable sensors as small as 0.5 mm thick can also utilize energy harvesting to provide inexhaustible power up to 4.4 micro-watts/sq.cm if they use body fluids such as oxygen dissolved in blood and glucose as the fuel source [77]. A crucial challenge for such power sources that needs to be addressed is their operational lifetime.
Due to difficulties in changing or recharging batteries in IoT-HSN sensors (some implanted), the management of energy consumption for network longevity and resourceful network operation is an important design consideration. The network design methods utilize a sleep-awake cycle for conserving energy and increasing the network operation time because the power requirement for the communications unit in a sensor node is several orders higher in comparison to the transducer and A/D converter unit in the sensor electronics. The author attempted to assess the lifetime of the proposed IoT-HSN framework created using commercial sensors and power supplies focusing on the period that the sensors would remain powered on.
The sample rate for the ART signals used in the representative evaluation was 360 samples per second with the samples encoded in 8-bits and the more popular 12-bits. The total energy necessary for the operation of a IoT-HSN sensor node varies based on factors such as sleep-awake cycle, inter-sensor distances, the time for which the node stays in a specific mode, as well as a system constant.
Based on Heinzelman’s sensor node transceiver model [78], the transmission energy required to transmit a k-bit message to a distance of
where,
Their model has the below assumptions:
To receive a k bit message, the energy expended in the receiver is
The energy expended in the transceiver electronics for most sensor nodes is identical for transmission and reception circuitry and in a few tens of nJ/bit.
The energy required for transmitting all the samples (and not skipping any of the 360 samples) while continuously operating for a minute was 8.65 mJ when the samples are encoded in 8-bits and 12.97 mJ when the samples are encoded in 12-bits.
The author attempted to assess the life cycles of wireless networks comprising of two commercially available low-power ultra-compact sensor nodes. The minute-long sensor duty cycle comprises of 10 seconds each of transmission and reception succeeded by 40 seconds of sleep. The author used three sensor modes for this evaluation – the Eco [79], Texas Instruments’ TI CC3100 [80] in Direct Sequence Spread Spectrum mode (1DSSS) and the TI CC3100 in Orthogonal Frequency Division Multiplexing mode (54OFDM).
The Eco sensor required a current of 16 mA during transmission, 22 mA during reception and mere 2 μA while sleeping.
The TI CC3100 sensor fared fine in the 1DSSS mode while performing amply better in the 54OFDM mode. The author evaluated the performance of these sensors based on three commercially available batteries that supply 3.0–3.6 volts, 0.5A – the CR2032, CR123A, iXTRA and ER34615. Table 4 summarizes the battery characteristics and the findings for transmission power requirements of the two sensor nodes without any power management applied.
Battery | CR2032 | CR2447 | CR123A | iXTRA | ER34615 |
Sensor Node | 225 mAH | 1000 mAH | 1550 mAH | 1700 mAH | 19000 mAH |
ECO (16 mA) | 1.76 | 7.82 | 12.11 | 13.28 | 148.62 |
TI – DSSS (21 mA) | 1.34 | 5.96 | 9.23 | 10.12 | 113.16 |
TI – OFDM (9.39 mA) | 2.99 | 13.29 | 20.63 | 22.63 | 252.49 |
Life in days for the different battery models as per their capacities and node power requirements if continuous power drawn.
Table 4 indicates that the innovations in low-power sensor design and battery technology enhance the lifetime of the IoT-HSN network.
If the sample reduction algorithm suggested by the author is used, the sensor, and hence the network lifetime would improve in accordance with the sample chop rate. Figure 7 shows the network lifetime improvement for the sample chop rates.
Comparison plot of battery lives for 5 batteries and four sample rates.
The author also attempted to evaluate the performance of the three thermal aware routing models for network lifetime with the three batteries that were shortlisted and considered by [56]. Of the battery models evaluated, the model based on ECO sensor nodes running on the 19000 mAH ER34615 battery had the best performance for network lifetime without any power management.
The TBFC thermal-aware routing model was found to offer the poorest economy on the battery power in these evaluations as compared to the other two models for the four probabilistic packet distributions. Figure 8 shows the battery and network lifetime for the model despite retransmissions using the mentioned battery-sensor combination in the number of hours of operation, in conjunction with the details in the tables.
A comparison of lifetime hours for the three models across four duty cycle distributions.
The three models pave a way for a study towards efficient and intrinsically safe, thermal-aware IoT-HSNs for wearable computing. Figure 9 shows the improvement for the sample chop rate of 3, if the reduction in samples is used with prediction for recreating the original signal. This was done for the ECO sensor when used in conjunction with the ER34615 battery, evaluated over the four probability distributions for the three thermal aware routing algorithms. The author’s findings indicated that the results were the best for the SCMC routing algorithm with Poisson sample distribution where the sensor and battery combination lasted for almost 66500 hours (7.6 years) with the results for other distributions not very different for the combination. The sensor and network lifetime are seen to be improved in accordance with the sample chop rate.
A comparison of improvement in lifetime hours for the three models for best sensor and battery combination.
In this article, the author has presented a comprehensive survey of the different types of routing models used for IoT-HSN data. The author has also proposed a thermal and energy aware model that enhances the lifetime of IoT-HSN for intra-network as well as inter-network traffic and evaluated the performance of the model. The author has also demonstrated energy savings by reduction in transmission using a linear elimination algorithm and recreating the missed data at the receiver using a variety of techniques involving a variety of interpolation techniques and prediction using PID and NLR-ANN with very low error values. The savings shown from the model and the enhancement of network lifetime have been demonstrated in quantified as well as graphical forms.
While the basic factors of the network look good for employing energy optimization in IoT-HSN applications, the dynamic execution of the proposed model needs to be studied in better detail for real life HSN applications. An extension of this work could focus on a clinical implementation covering several vital parameters with varying rates of change in them. More possibilities could emerge if the model is tested on well-founded and strong applications such as pacemakers, insulin monitors or movement sensors and prosthetic control.
This article opens the arena for further probing of thermal, QoS and energy aware design of micro-hardware for wearables and implantable bionics. The thermal and energy aware model offers an encouraging prospect to be selected as a design standard for IoT-HSN applications whereas none exists at this time.
The author expresses his heartfelt thanks towards Physionet [60] and the doctors from the Department of Pediatric Cardiology at Cincinnati Children’s Hospital for their judgment on the tolerable drop in volume of physiological data for competent supervision of vital body parameters for human subjects.
This work was not supported by any funding whatsoever from any sources.
The author declares no conflict of interest.
IoT | Internet of Things |
HMI | Human-machine interface |
IoT-HSN | IoT healthcare sensor network |
MEMS | Micro Electro-mechanical Systems |
PDA | Personal digital assistant |
WHO | World Health Organization |
ART | Arterial pressure |
WSN | Wireless sensor network |
SMILE | Smart Independent Living for Elders |
CSS | Coordinating Sink Station Unit |
QoS | Quality of service |
SAR | Specific absorption rate |
FCC | Federal Communications Commission |
ICNIRP | International Commission on Non-Ionizing Radiation Protection |
TARA | Temperature Aware Routing Algorithm |
LTR | Least Temperature Rise |
ALTR | Adaptive Least Temperature Rise |
LTRT | Least Total Route Temperature |
CDR | Critical Data Routing |
MAC | Media Access Control |
SCMC | Sensor-Centric Monte-Carlo |
TBFC | Tissue-Based Fixed Coordinator |
1HC | One-hop caching |
EEG | Electroencephalogram |
ECG | Electrocardiogram |
EMG | Electromyography |
BAN | Body area network |
SPO2 | Peripheral capillary oxygen saturation |
PID | Proportional-integral-derivative |
ANN-NLR | Artificial neural network – non-linear regression |
GPRS | General Packet Radio Service |
WLAN | Wireless Local Area Network |
TI | Texas Instruments |
1DSSS | Direct Sequence Spread Spectrum |
54OFDM | Orthogonal Frequency Division Multiplexing |
IntechOpen aims to ensure that original material is published while at the same time giving significant freedom to our Authors. To that end we maintain a flexible Copyright Policy guaranteeing that there is no transfer of copyright to the publisher and Authors retain exclusive copyright to their Work.
',metaTitle:"Publication Agreement - Chapters",metaDescription:"IN TECH aims to guarantee that original material is published while at the same time giving significant freedom to our authors. For that matter, we uphold a flexible copyright policy meaning that there is no transfer of copyright to the publisher and authors retain exclusive copyright to their work.\n\nWhen submitting a manuscript the Corresponding Author is required to accept the terms and conditions set forth in our Publication Agreement as follows:",metaKeywords:null,canonicalURL:"/page/publication-agreement-chapters",contentRaw:'[{"type":"htmlEditorComponent","content":"The Corresponding Author (acting on behalf of all Authors) and INTECHOPEN LIMITED, incorporated and registered in England and Wales with company number 11086078 and a registered office at 5 Princes Gate Court, London, United Kingdom, SW7 2QJ conclude the following Agreement regarding the publication of a Book Chapter:
\\n\\n1. DEFINITIONS
\\n\\nCorresponding Author: The Author of the Chapter who serves as a Signatory to this Agreement. The Corresponding Author acts on behalf of any other Co-Author.
\\n\\nCo-Author: All other Authors of the Chapter besides the Corresponding Author.
\\n\\nIntechOpen: IntechOpen Ltd., the Publisher of the Book.
\\n\\nBook: The publication as a collection of chapters compiled by IntechOpen including the Chapter. Chapter: The original literary work created by Corresponding Author and any Co-Author that is the subject of this Agreement.
\\n\\n2. CORRESPONDING AUTHOR'S GRANT OF RIGHTS
\\n\\n2.1 Subject to the following Article, the Corresponding Author grants and shall ensure that each Co-Author grants, to IntechOpen, during the full term of copyright and any extensions or renewals of that term the following:
\\n\\nThe aforementioned licenses shall survive the expiry or termination of this Agreement for any reason.
\\n\\n2.2 The Corresponding Author (on their own behalf and on behalf of any Co-Author) reserves the following rights to the Chapter but agrees not to exercise them in such a way as to adversely affect IntechOpen's ability to utilize the full benefit of this Publication Agreement: (i) reprographic rights worldwide, other than those which subsist in the typographical arrangement of the Chapter as published by IntechOpen; and (ii) public lending rights arising under the Public Lending Right Act 1979, as amended from time to time, and any similar rights arising in any part of the world.
\\n\\nThe Corresponding Author confirms that they (and any Co-Author) are and will remain a member of any applicable licensing and collecting society and any successor to that body responsible for administering royalties for the reprographic reproduction of copyright works.
\\n\\nSubject to the license granted above, copyright in the Chapter and all versions of it created during IntechOpen's editing process (including the published version) is retained by the Corresponding Author and any Co-Author.
\\n\\nSubject to the license granted above, the Corresponding Author and any Co-Author retains patent, trademark and other intellectual property rights to the Chapter.
\\n\\n2.3 All rights granted to IntechOpen in this Article are assignable, sublicensable or otherwise transferrable to third parties without the Corresponding Author's or any Co-Author’s specific approval.
\\n\\n2.4 The Corresponding Author (on their own behalf and on behalf of each Co-Author) will not assert any rights under the Copyright, Designs and Patents Act 1988 to object to derogatory treatment of the Chapter as a consequence of IntechOpen's changes to the Chapter arising from translation of it, corrections and edits for house style, removal of problematic material and other reasonable edits.
\\n\\n3. CORRESPONDING AUTHOR'S DUTIES
\\n\\n3.1 When distributing or re-publishing the Chapter, the Corresponding Author agrees to credit the Book in which the Chapter has been published as the source of first publication, as well as IntechOpen. The Corresponding Author warrants that each Co-Author will also credit the Book in which the Chapter has been published as the source of first publication, as well as IntechOpen, when they are distributing or re-publishing the Chapter.
\\n\\n3.2 When submitting the Chapter, the Corresponding Author agrees to:
\\n\\nThe Corresponding Author will be held responsible for the payment of the Open Access Publishing Fees.
\\n\\nAll payments shall be due 30 days from the date of the issued invoice. The Corresponding Author or the payer on the Corresponding Author's and Co-Authors' behalf will bear all banking and similar charges incurred.
\\n\\n3.3 The Corresponding Author shall obtain in writing all consents necessary for the reproduction of any material in which a third-party right exists, including quotations, photographs and illustrations, in all editions of the Chapter worldwide for the full term of the above licenses, and shall provide to IntechOpen upon request the original copies of such consents for inspection (at IntechOpen's option) or photocopies of such consents.
\\n\\nThe Corresponding Author shall obtain written informed consent for publication from people who might recognize themselves or be identified by others (e.g. from case reports or photographs).
\\n\\n3.4 The Corresponding Author and any Co-Author shall respect confidentiality rights during and after the termination of this Agreement. The information contained in all correspondence and documents as part of the publishing activity between IntechOpen and the Corresponding Author and any Co-Author are confidential and are intended only for the recipient. The contents may not be disclosed publicly and are not intended for unauthorized use or distribution. Any use, disclosure, copying, or distribution is prohibited and may be unlawful.
\\n\\n4. CORRESPONDING AUTHOR'S WARRANTY
\\n\\n4.1 The Corresponding Author represents and warrants that the Chapter does not and will not breach any applicable law or the rights of any third party and, specifically, that the Chapter contains no matter that is defamatory or that infringes any literary or proprietary rights, intellectual property rights, or any rights of privacy. The Corresponding Author warrants and represents that: (i) the Chapter is the original work of themselves and any Co-Author and is not copied wholly or substantially from any other work or material or any other source; (ii) the Chapter has not been formally published in any other peer-reviewed journal or in a book or edited collection, and is not under consideration for any such publication; (iii) they themselves and any Co-Author are qualifying persons under section 154 of the Copyright, Designs and Patents Act 1988; (iv) they themselves and any Co-Author have not assigned and will not during the term of this Publication Agreement purport to assign any of the rights granted to IntechOpen under this Publication Agreement; and (v) the rights granted by this Publication Agreement are free from any security interest, option, mortgage, charge or lien.
\\n\\nThe Corresponding Author also warrants and represents that: (i) they have the full power to enter into this Publication Agreement on their own behalf and on behalf of each Co-Author; and (ii) they have the necessary rights and/or title in and to the Chapter to grant IntechOpen, on behalf of themselves and any Co-Author, the rights and licenses expressed to be granted in this Publication Agreement. If the Chapter was prepared jointly by the Corresponding Author and any Co-Author, the Corresponding Author warrants and represents that: (i) each Co-Author agrees to the submission, license and publication of the Chapter on the terms of this Publication Agreement; and (ii) they have the authority to enter into this Publication Agreement on behalf of and bind each Co-Author. The Corresponding Author shall: (i) ensure each Co-Author complies with all relevant provisions of this Publication Agreement, including those relating to confidentiality, performance and standards, as if a party to this Publication Agreement; and (ii) remain primarily liable for all acts and/or omissions of each such Co-Author.
\\n\\nThe Corresponding Author agrees to indemnify and hold IntechOpen harmless against all liabilities, costs, expenses, damages and losses and all reasonable legal costs and expenses suffered or incurred by IntechOpen arising out of or in connection with any breach of the aforementioned representations and warranties. This indemnity shall not cover IntechOpen to the extent that a claim under it results from IntechOpen's negligence or willful misconduct.
\\n\\n4.2 Nothing in this Publication Agreement shall have the effect of excluding or limiting any liability for death or personal injury caused by negligence or any other liability that cannot be excluded or limited by applicable law.
\\n\\n5. TERMINATION
\\n\\n5.1 IntechOpen has a right to terminate this Publication Agreement for quality, program, technical or other reasons with immediate effect, including without limitation (i) if the Corresponding Author or any Co-Author commits a material breach of this Publication Agreement; (ii) if the Corresponding Author or any Co-Author (being an individual) is the subject of a bankruptcy petition, application or order; or (iii) if the Corresponding Author or any Co-Author (being a company) commences negotiations with all or any class of its creditors with a view to rescheduling any of its debts, or makes a proposal for or enters into any compromise or arrangement with any of its creditors.
\\n\\nIn case of termination, IntechOpen will notify the Corresponding Author, in writing, of the decision.
\\n\\n6. INTECHOPEN’S DUTIES AND RIGHTS
\\n\\n6.1 Unless prevented from doing so by events outside its reasonable control, IntechOpen, in its discretion, agrees to publish the Chapter attributing it to the Corresponding Author and any Co-Author.
\\n\\n6.2 IntechOpen has the right to use the Corresponding Author’s and any Co-Author’s names and likeness in connection with scientific dissemination, retrieval, archiving, web hosting and promotion and marketing of the Chapter and has the right to contact the Corresponding Author and any Co-Author until the Chapter is publicly available on any platform owned and/or operated by IntechOpen.
\\n\\n6.3 IntechOpen is granted the authority to enforce the rights from this Publication Agreement, on behalf of the Corresponding Author and any Co-Author, against third parties (for example in cases of plagiarism or copyright infringements). In respect of any such infringement or suspected infringement of the copyright in the Chapter, IntechOpen shall have absolute discretion in addressing any such infringement which is likely to affect IntechOpen's rights under this Publication Agreement, including issuing and conducting proceedings against the suspected infringer.
\\n\\n7. MISCELLANEOUS
\\n\\n7.1 Further Assurance: The Corresponding Author shall and will ensure that any relevant third party (including any Co-Author) shall, execute and deliver whatever further documents or deeds and perform such acts as IntechOpen reasonably requires from time to time for the purpose of giving IntechOpen the full benefit of the provisions of this Publication Agreement.
\\n\\n7.2 Third Party Rights: A person who is not a party to this Publication Agreement may not enforce any of its provisions under the Contracts (Rights of Third Parties) Act 1999.
\\n\\n7.3 Entire Agreement: This Publication Agreement constitutes the entire agreement between the parties in relation to its subject matter. It replaces and extinguishes all prior agreements, draft agreements, arrangements, collateral warranties, collateral contracts, statements, assurances, representations and undertakings of any nature made by or on behalf of the parties, whether oral or written, in relation to that subject matter. Each party acknowledges that in entering into this Publication Agreement it has not relied upon any oral or written statements, collateral or other warranties, assurances, representations or undertakings which were made by or on behalf of the other party in relation to the subject matter of this Publication Agreement at any time before its signature (together "Pre-Contractual Statements"), other than those which are set out in this Publication Agreement. Each party hereby waives all rights and remedies which might otherwise be available to it in relation to such Pre-Contractual Statements. Nothing in this clause shall exclude or restrict the liability of either party arising out of its pre-contract fraudulent misrepresentation or fraudulent concealment.
\\n\\n7.4 Waiver: No failure or delay by a party to exercise any right or remedy provided under this Publication Agreement or by law shall constitute a waiver of that or any other right or remedy, nor shall it preclude or restrict the further exercise of that or any other right or remedy. No single or partial exercise of such right or remedy shall preclude or restrict the further exercise of that or any other right or remedy.
\\n\\n7.5 Variation: No variation of this Publication Agreement shall be effective unless it is in writing and signed by the parties (or their duly authorized representatives).
\\n\\n7.6 Severance: If any provision or part-provision of this Publication Agreement is or becomes invalid, illegal or unenforceable, it shall be deemed modified to the minimum extent necessary to make it valid, legal and enforceable. If such modification is not possible, the relevant provision or part-provision shall be deemed deleted.
\\n\\nAny modification to or deletion of a provision or part-provision under this clause shall not affect the validity and enforceability of the rest of this Publication Agreement.
\\n\\n7.7 No partnership: Nothing in this Publication Agreement is intended to, or shall be deemed to, establish or create any partnership or joint venture or the relationship of principal and agent or employer and employee between IntechOpen and the Corresponding Author or any Co-Author, nor authorize any party to make or enter into any commitments for or on behalf of any other party.
\\n\\n7.8 Governing law: This Publication Agreement and any dispute or claim (including non-contractual disputes or claims) arising out of or in connection with it or its subject matter or formation shall be governed by and construed in accordance with the law of England and Wales. The parties submit to the exclusive jurisdiction of the English courts to settle any dispute or claim arising out of or in connection with this Publication Agreement (including any non-contractual disputes or claims).
\\n\\nLast updated: 2020-11-27
\\n\\n\\n\\n
\\n"}]'},components:[{type:"htmlEditorComponent",content:"
The Corresponding Author (acting on behalf of all Authors) and INTECHOPEN LIMITED, incorporated and registered in England and Wales with company number 11086078 and a registered office at 5 Princes Gate Court, London, United Kingdom, SW7 2QJ conclude the following Agreement regarding the publication of a Book Chapter:
\n\n1. DEFINITIONS
\n\nCorresponding Author: The Author of the Chapter who serves as a Signatory to this Agreement. The Corresponding Author acts on behalf of any other Co-Author.
\n\nCo-Author: All other Authors of the Chapter besides the Corresponding Author.
\n\nIntechOpen: IntechOpen Ltd., the Publisher of the Book.
\n\nBook: The publication as a collection of chapters compiled by IntechOpen including the Chapter. Chapter: The original literary work created by Corresponding Author and any Co-Author that is the subject of this Agreement.
\n\n2. CORRESPONDING AUTHOR'S GRANT OF RIGHTS
\n\n2.1 Subject to the following Article, the Corresponding Author grants and shall ensure that each Co-Author grants, to IntechOpen, during the full term of copyright and any extensions or renewals of that term the following:
\n\nThe aforementioned licenses shall survive the expiry or termination of this Agreement for any reason.
\n\n2.2 The Corresponding Author (on their own behalf and on behalf of any Co-Author) reserves the following rights to the Chapter but agrees not to exercise them in such a way as to adversely affect IntechOpen's ability to utilize the full benefit of this Publication Agreement: (i) reprographic rights worldwide, other than those which subsist in the typographical arrangement of the Chapter as published by IntechOpen; and (ii) public lending rights arising under the Public Lending Right Act 1979, as amended from time to time, and any similar rights arising in any part of the world.
\n\nThe Corresponding Author confirms that they (and any Co-Author) are and will remain a member of any applicable licensing and collecting society and any successor to that body responsible for administering royalties for the reprographic reproduction of copyright works.
\n\nSubject to the license granted above, copyright in the Chapter and all versions of it created during IntechOpen's editing process (including the published version) is retained by the Corresponding Author and any Co-Author.
\n\nSubject to the license granted above, the Corresponding Author and any Co-Author retains patent, trademark and other intellectual property rights to the Chapter.
\n\n2.3 All rights granted to IntechOpen in this Article are assignable, sublicensable or otherwise transferrable to third parties without the Corresponding Author's or any Co-Author’s specific approval.
\n\n2.4 The Corresponding Author (on their own behalf and on behalf of each Co-Author) will not assert any rights under the Copyright, Designs and Patents Act 1988 to object to derogatory treatment of the Chapter as a consequence of IntechOpen's changes to the Chapter arising from translation of it, corrections and edits for house style, removal of problematic material and other reasonable edits.
\n\n3. CORRESPONDING AUTHOR'S DUTIES
\n\n3.1 When distributing or re-publishing the Chapter, the Corresponding Author agrees to credit the Book in which the Chapter has been published as the source of first publication, as well as IntechOpen. The Corresponding Author warrants that each Co-Author will also credit the Book in which the Chapter has been published as the source of first publication, as well as IntechOpen, when they are distributing or re-publishing the Chapter.
\n\n3.2 When submitting the Chapter, the Corresponding Author agrees to:
\n\nThe Corresponding Author will be held responsible for the payment of the Open Access Publishing Fees.
\n\nAll payments shall be due 30 days from the date of the issued invoice. The Corresponding Author or the payer on the Corresponding Author's and Co-Authors' behalf will bear all banking and similar charges incurred.
\n\n3.3 The Corresponding Author shall obtain in writing all consents necessary for the reproduction of any material in which a third-party right exists, including quotations, photographs and illustrations, in all editions of the Chapter worldwide for the full term of the above licenses, and shall provide to IntechOpen upon request the original copies of such consents for inspection (at IntechOpen's option) or photocopies of such consents.
\n\nThe Corresponding Author shall obtain written informed consent for publication from people who might recognize themselves or be identified by others (e.g. from case reports or photographs).
\n\n3.4 The Corresponding Author and any Co-Author shall respect confidentiality rights during and after the termination of this Agreement. The information contained in all correspondence and documents as part of the publishing activity between IntechOpen and the Corresponding Author and any Co-Author are confidential and are intended only for the recipient. The contents may not be disclosed publicly and are not intended for unauthorized use or distribution. Any use, disclosure, copying, or distribution is prohibited and may be unlawful.
\n\n4. CORRESPONDING AUTHOR'S WARRANTY
\n\n4.1 The Corresponding Author represents and warrants that the Chapter does not and will not breach any applicable law or the rights of any third party and, specifically, that the Chapter contains no matter that is defamatory or that infringes any literary or proprietary rights, intellectual property rights, or any rights of privacy. The Corresponding Author warrants and represents that: (i) the Chapter is the original work of themselves and any Co-Author and is not copied wholly or substantially from any other work or material or any other source; (ii) the Chapter has not been formally published in any other peer-reviewed journal or in a book or edited collection, and is not under consideration for any such publication; (iii) they themselves and any Co-Author are qualifying persons under section 154 of the Copyright, Designs and Patents Act 1988; (iv) they themselves and any Co-Author have not assigned and will not during the term of this Publication Agreement purport to assign any of the rights granted to IntechOpen under this Publication Agreement; and (v) the rights granted by this Publication Agreement are free from any security interest, option, mortgage, charge or lien.
\n\nThe Corresponding Author also warrants and represents that: (i) they have the full power to enter into this Publication Agreement on their own behalf and on behalf of each Co-Author; and (ii) they have the necessary rights and/or title in and to the Chapter to grant IntechOpen, on behalf of themselves and any Co-Author, the rights and licenses expressed to be granted in this Publication Agreement. If the Chapter was prepared jointly by the Corresponding Author and any Co-Author, the Corresponding Author warrants and represents that: (i) each Co-Author agrees to the submission, license and publication of the Chapter on the terms of this Publication Agreement; and (ii) they have the authority to enter into this Publication Agreement on behalf of and bind each Co-Author. The Corresponding Author shall: (i) ensure each Co-Author complies with all relevant provisions of this Publication Agreement, including those relating to confidentiality, performance and standards, as if a party to this Publication Agreement; and (ii) remain primarily liable for all acts and/or omissions of each such Co-Author.
\n\nThe Corresponding Author agrees to indemnify and hold IntechOpen harmless against all liabilities, costs, expenses, damages and losses and all reasonable legal costs and expenses suffered or incurred by IntechOpen arising out of or in connection with any breach of the aforementioned representations and warranties. This indemnity shall not cover IntechOpen to the extent that a claim under it results from IntechOpen's negligence or willful misconduct.
\n\n4.2 Nothing in this Publication Agreement shall have the effect of excluding or limiting any liability for death or personal injury caused by negligence or any other liability that cannot be excluded or limited by applicable law.
\n\n5. TERMINATION
\n\n5.1 IntechOpen has a right to terminate this Publication Agreement for quality, program, technical or other reasons with immediate effect, including without limitation (i) if the Corresponding Author or any Co-Author commits a material breach of this Publication Agreement; (ii) if the Corresponding Author or any Co-Author (being an individual) is the subject of a bankruptcy petition, application or order; or (iii) if the Corresponding Author or any Co-Author (being a company) commences negotiations with all or any class of its creditors with a view to rescheduling any of its debts, or makes a proposal for or enters into any compromise or arrangement with any of its creditors.
\n\nIn case of termination, IntechOpen will notify the Corresponding Author, in writing, of the decision.
\n\n6. INTECHOPEN’S DUTIES AND RIGHTS
\n\n6.1 Unless prevented from doing so by events outside its reasonable control, IntechOpen, in its discretion, agrees to publish the Chapter attributing it to the Corresponding Author and any Co-Author.
\n\n6.2 IntechOpen has the right to use the Corresponding Author’s and any Co-Author’s names and likeness in connection with scientific dissemination, retrieval, archiving, web hosting and promotion and marketing of the Chapter and has the right to contact the Corresponding Author and any Co-Author until the Chapter is publicly available on any platform owned and/or operated by IntechOpen.
\n\n6.3 IntechOpen is granted the authority to enforce the rights from this Publication Agreement, on behalf of the Corresponding Author and any Co-Author, against third parties (for example in cases of plagiarism or copyright infringements). In respect of any such infringement or suspected infringement of the copyright in the Chapter, IntechOpen shall have absolute discretion in addressing any such infringement which is likely to affect IntechOpen's rights under this Publication Agreement, including issuing and conducting proceedings against the suspected infringer.
\n\n7. MISCELLANEOUS
\n\n7.1 Further Assurance: The Corresponding Author shall and will ensure that any relevant third party (including any Co-Author) shall, execute and deliver whatever further documents or deeds and perform such acts as IntechOpen reasonably requires from time to time for the purpose of giving IntechOpen the full benefit of the provisions of this Publication Agreement.
\n\n7.2 Third Party Rights: A person who is not a party to this Publication Agreement may not enforce any of its provisions under the Contracts (Rights of Third Parties) Act 1999.
\n\n7.3 Entire Agreement: This Publication Agreement constitutes the entire agreement between the parties in relation to its subject matter. It replaces and extinguishes all prior agreements, draft agreements, arrangements, collateral warranties, collateral contracts, statements, assurances, representations and undertakings of any nature made by or on behalf of the parties, whether oral or written, in relation to that subject matter. Each party acknowledges that in entering into this Publication Agreement it has not relied upon any oral or written statements, collateral or other warranties, assurances, representations or undertakings which were made by or on behalf of the other party in relation to the subject matter of this Publication Agreement at any time before its signature (together "Pre-Contractual Statements"), other than those which are set out in this Publication Agreement. Each party hereby waives all rights and remedies which might otherwise be available to it in relation to such Pre-Contractual Statements. Nothing in this clause shall exclude or restrict the liability of either party arising out of its pre-contract fraudulent misrepresentation or fraudulent concealment.
\n\n7.4 Waiver: No failure or delay by a party to exercise any right or remedy provided under this Publication Agreement or by law shall constitute a waiver of that or any other right or remedy, nor shall it preclude or restrict the further exercise of that or any other right or remedy. No single or partial exercise of such right or remedy shall preclude or restrict the further exercise of that or any other right or remedy.
\n\n7.5 Variation: No variation of this Publication Agreement shall be effective unless it is in writing and signed by the parties (or their duly authorized representatives).
\n\n7.6 Severance: If any provision or part-provision of this Publication Agreement is or becomes invalid, illegal or unenforceable, it shall be deemed modified to the minimum extent necessary to make it valid, legal and enforceable. If such modification is not possible, the relevant provision or part-provision shall be deemed deleted.
\n\nAny modification to or deletion of a provision or part-provision under this clause shall not affect the validity and enforceability of the rest of this Publication Agreement.
\n\n7.7 No partnership: Nothing in this Publication Agreement is intended to, or shall be deemed to, establish or create any partnership or joint venture or the relationship of principal and agent or employer and employee between IntechOpen and the Corresponding Author or any Co-Author, nor authorize any party to make or enter into any commitments for or on behalf of any other party.
\n\n7.8 Governing law: This Publication Agreement and any dispute or claim (including non-contractual disputes or claims) arising out of or in connection with it or its subject matter or formation shall be governed by and construed in accordance with the law of England and Wales. The parties submit to the exclusive jurisdiction of the English courts to settle any dispute or claim arising out of or in connection with this Publication Agreement (including any non-contractual disputes or claims).
\n\nLast updated: 2020-11-27
\n\n\n\n
\n"}]},successStories:{items:[]},authorsAndEditors:{filterParams:{},profiles:[{id:"396",title:"Dr.",name:"Vedran",middleName:null,surname:"Kordic",slug:"vedran-kordic",fullName:"Vedran Kordic",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/396/images/7281_n.png",biography:"After obtaining his Master's degree in Mechanical Engineering he continued his education at the Vienna University of Technology where he obtained his PhD degree in 2004. He worked as a researcher at the Automation and Control Institute, Faculty of Electrical Engineering, Vienna University of Technology until 2008. His studies in robotics lead him not only to a PhD degree but also inspired him to co-found and build the International Journal of Advanced Robotic Systems - world's first Open Access journal in the field of robotics.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"441",title:"Ph.D.",name:"Jaekyu",middleName:null,surname:"Park",slug:"jaekyu-park",fullName:"Jaekyu Park",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/441/images/1881_n.jpg",biography:null,institutionString:null,institution:{name:"LG Corporation (South Korea)",country:{name:"Korea, South"}}},{id:"465",title:"Dr",name:"Christian",middleName:null,surname:"Martens",slug:"christian-martens",fullName:"Christian Martens",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"479",title:"Dr.",name:"Valentina",middleName:null,surname:"Colla",slug:"valentina-colla",fullName:"Valentina Colla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/479/images/358_n.jpg",biography:null,institutionString:null,institution:{name:"Sant'Anna School of Advanced Studies",country:{name:"Italy"}}},{id:"494",title:"PhD",name:"Loris",middleName:null,surname:"Nanni",slug:"loris-nanni",fullName:"Loris Nanni",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/494/images/system/494.jpg",biography:"Loris Nanni received his Master Degree cum laude on June-2002 from the University of Bologna, and the April 26th 2006 he received his Ph.D. in Computer Engineering at DEIS, University of Bologna. On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. His current research interests are in the fields of intelligent control and robotics.",institutionString:null,institution:{name:"Technical University of Sofia",country:{name:"Bulgaria"}}},{id:"585",title:"Prof.",name:"Munir",middleName:null,surname:"Merdan",slug:"munir-merdan",fullName:"Munir Merdan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/585/images/system/585.jpg",biography:"Munir Merdan received the M.Sc. degree in mechanical engineering from the Technical University of Sarajevo, Bosnia and Herzegovina, in 2001, and the Ph.D. degree in electrical engineering from the Vienna University of Technology, Vienna, Austria, in 2009.Since 2005, he has been at the Automation and Control Institute, Vienna University of Technology, where he is currently a Senior Researcher. His research interests include the application of agent technology for achieving agile control in the manufacturing environment.",institutionString:null,institution:null},{id:"605",title:"Prof",name:"Dil",middleName:null,surname:"Hussain",slug:"dil-hussain",fullName:"Dil Hussain",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/605/images/system/605.jpg",biography:"Dr. Dil Muhammad Akbar Hussain is a professor of Electronics Engineering & Computer Science at the Department of Energy Technology, Aalborg University Denmark. Professor Akbar has a Master degree in Digital Electronics from Govt. College University, Lahore Pakistan and a P-hD degree in Control Engineering from the School of Engineering and Applied Sciences, University of Sussex United Kingdom. Aalborg University has Two Satellite Campuses, one in Copenhagen (Aalborg University Copenhagen) and the other in Esbjerg (Aalborg University Esbjerg).\n· He is a member of prestigious IEEE (Institute of Electrical and Electronics Engineers), and IAENG (International Association of Engineers) organizations. \n· He is the chief Editor of the Journal of Software Engineering.\n· He is the member of the Editorial Board of International Journal of Computer Science and Software Technology (IJCSST) and International Journal of Computer Engineering and Information Technology. \n· He is also the Editor of Communication in Computer and Information Science CCIS-20 by Springer.\n· Reviewer For Many Conferences\nHe is the lead person in making collaboration agreements between Aalborg University and many universities of Pakistan, for which the MOU’s (Memorandum of Understanding) have been signed.\nProfessor Akbar is working in Academia since 1990, he started his career as a Lab demonstrator/TA at the University of Sussex. After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. He has contributed in stochastic estimation of control area especially, in the Multiple Target Tracking and Interactive Multiple Model (IMM) research, Ball & Beam Control Problem, Robotics, Levitation Control. He has contributed in developing Algorithms for Fingerprint Matching, Computer Vision and Face Recognition. He has been supervising Pattern Recognition, Formal Languages and Distributed Processing projects for several years. He has reviewed many books on Management, Computer Science. Currently, he is an active and permanent reviewer for many international conferences and symposia and the program committee member for many international conferences.\nIn teaching he has taught the core computer science subjects like, Digital Design, Real Time Embedded System Programming, Operating Systems, Software Engineering, Data Structures, Databases, Compiler Construction. In the Engineering side, Digital Signal Processing, Computer Architecture, Electronics Devices, Digital Filtering and Engineering Management.\nApart from his Academic Interest and activities he loves sport especially, Cricket, Football, Snooker and Squash. He plays cricket for Esbjerg city in the second division team as an opener wicket keeper batsman. He is a very good player of squash but has not played squash since his arrival in Denmark.",institutionString:null,institution:null},{id:"611",title:"Prof.",name:"T",middleName:null,surname:"Nagarajan",slug:"t-nagarajan",fullName:"T Nagarajan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Universiti Teknologi Petronas",country:{name:"Malaysia"}}}],filtersByRegion:[{group:"region",caption:"North America",value:1,count:6675},{group:"region",caption:"Middle and South America",value:2,count:5955},{group:"region",caption:"Africa",value:3,count:2458},{group:"region",caption:"Asia",value:4,count:12717},{group:"region",caption:"Australia and Oceania",value:5,count:1017},{group:"region",caption:"Europe",value:6,count:17720}],offset:12,limit:12,total:134177},chapterEmbeded:{data:{}},editorApplication:{success:null,errors:{}},ofsBooks:{filterParams:{sort:"dateEndThirdStepPublish",topicId:"5"},books:[{type:"book",id:"11616",title:"Foraging",subtitle:null,isOpenForSubmission:!0,hash:"955b60bb658c8d1a09dd4efc9bf6674b",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/11616.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11794",title:"Coconut Cultivation",subtitle:null,isOpenForSubmission:!0,hash:"48e1cb42a4162f64cae3a2e777472f21",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/11794.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11809",title:"Lagomorpha",subtitle:null,isOpenForSubmission:!0,hash:"1e8fd5779205c16e5797b05455dc5be0",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/11809.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11610",title:"New Insights in Herbicide Science",subtitle:null,isOpenForSubmission:!0,hash:"eb3830b8176caf3d1fd52c32313c5168",slug:null,bookSignature:"Ph.D. Kassio Ferreira Mendes",coverURL:"https://cdn.intechopen.com/books/images_new/11610.jpg",editedByType:null,editors:[{id:"197720",title:"Ph.D.",name:"Kassio",surname:"Ferreira Mendes",slug:"kassio-ferreira-mendes",fullName:"Kassio Ferreira Mendes"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"12142",title:"Prunus",subtitle:null,isOpenForSubmission:!0,hash:"30b850eaa9714914bf001664c9b324be",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/12142.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"12146",title:"Cellulose",subtitle:null,isOpenForSubmission:!0,hash:"b1196cf20a9e42db795c2d647681aa9d",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/12146.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"12147",title:"Abiotic Stress in Plants",subtitle:null,isOpenForSubmission:!0,hash:"f3d8c31029650b7ce536da7ab9d7a5a0",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/12147.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"12148",title:"Cucurbitaceae",subtitle:null,isOpenForSubmission:!0,hash:"0029e5c84528142bf2eff0cbd5b14fa2",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/12148.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"12149",title:"Solanum tuberosum",subtitle:null,isOpenForSubmission:!0,hash:"39bdc8ce8b54bc666a3ab765a29c6edd",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/12149.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"12151",title:"Poultry Farming",subtitle:null,isOpenForSubmission:!0,hash:"acd89c676ce6c3da7af23d64e30828f6",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/12151.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"12154",title:"Organic Fertilizers",subtitle:null,isOpenForSubmission:!0,hash:"8634d6ecdb6fc207336d8b95a169e400",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/12154.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"12156",title:"Legumes",subtitle:null,isOpenForSubmission:!0,hash:"a97becd6aa14a480ce28c05a3116f639",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/12156.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],filtersByTopic:[{group:"topic",caption:"Agricultural and Biological Sciences",value:5,count:38},{group:"topic",caption:"Biochemistry, Genetics and Molecular Biology",value:6,count:13},{group:"topic",caption:"Business, Management and Economics",value:7,count:7},{group:"topic",caption:"Chemistry",value:8,count:23},{group:"topic",caption:"Computer and Information Science",value:9,count:24},{group:"topic",caption:"Earth and Planetary Sciences",value:10,count:15},{group:"topic",caption:"Engineering",value:11,count:65},{group:"topic",caption:"Environmental Sciences",value:12,count:10},{group:"topic",caption:"Immunology and Microbiology",value:13,count:16},{group:"topic",caption:"Materials Science",value:14,count:25},{group:"topic",caption:"Mathematics",value:15,count:11},{group:"topic",caption:"Medicine",value:16,count:116},{group:"topic",caption:"Nanotechnology and Nanomaterials",value:17,count:6},{group:"topic",caption:"Neuroscience",value:18,count:4},{group:"topic",caption:"Pharmacology, Toxicology and Pharmaceutical Science",value:19,count:9},{group:"topic",caption:"Physics",value:20,count:9},{group:"topic",caption:"Psychology",value:21,count:10},{group:"topic",caption:"Robotics",value:22,count:2},{group:"topic",caption:"Social Sciences",value:23,count:9},{group:"topic",caption:"Veterinary Medicine and Science",value:25,count:4}],offset:12,limit:12,total:68},popularBooks:{featuredBooks:[{type:"book",id:"10858",title:"MOOC (Massive Open Online Courses)",subtitle:null,isOpenForSubmission:!1,hash:"d32f86793bc72dde32532f509b1ec5b0",slug:"mooc-massive-open-online-courses-",bookSignature:"Dragan Cvetković",coverURL:"https://cdn.intechopen.com/books/images_new/10858.jpg",editors:[{id:"101330",title:"Dr.",name:"Dragan",middleName:"Mladen",surname:"Cvetković",slug:"dragan-cvetkovic",fullName:"Dragan Cvetković"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10195",title:"Serotonin and the CNS",subtitle:"New Developments in Pharmacology and Therapeutics",isOpenForSubmission:!1,hash:"7ed9d96da98233a885bd2869a8056c36",slug:"serotonin-and-the-cns-new-developments-in-pharmacology-and-therapeutics",bookSignature:"Berend Olivier",coverURL:"https://cdn.intechopen.com/books/images_new/10195.jpg",editors:[{id:"71579",title:"Prof.",name:"Berend",middleName:null,surname:"Olivier",slug:"berend-olivier",fullName:"Berend Olivier"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10755",title:"Corporate Governance",subtitle:"Recent Advances and Perspectives",isOpenForSubmission:!1,hash:"ffe06d1d5c4bf0fc2e63511825fe1257",slug:"corporate-governance-recent-advances-and-perspectives",bookSignature:"Okechukwu Lawrence Emeagwali and Feyza Bhatti",coverURL:"https://cdn.intechopen.com/books/images_new/10755.jpg",editors:[{id:"196317",title:"Associate Prof.",name:"Okechukwu Lawrence",middleName:null,surname:"Emeagwali",slug:"okechukwu-lawrence-emeagwali",fullName:"Okechukwu Lawrence Emeagwali"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11120",title:"Environmental Impact and Remediation of Heavy Metals",subtitle:null,isOpenForSubmission:!1,hash:"9e77514288e7394f1e6cd13481af3509",slug:"environmental-impact-and-remediation-of-heavy-metals",bookSignature:"Hosam M. Saleh and Amal I. Hassan",coverURL:"https://cdn.intechopen.com/books/images_new/11120.jpg",editors:[{id:"144691",title:"Prof.",name:"Hosam M.",middleName:null,surname:"Saleh",slug:"hosam-m.-saleh",fullName:"Hosam M. Saleh"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10901",title:"Grapes and Wine",subtitle:null,isOpenForSubmission:!1,hash:"5d7f2aa74874444bc6986e613ccebd7c",slug:"grapes-and-wine",bookSignature:"Antonio Morata, Iris Loira and Carmen González",coverURL:"https://cdn.intechopen.com/books/images_new/10901.jpg",editors:[{id:"180952",title:"Prof.",name:"Antonio",middleName:null,surname:"Morata",slug:"antonio-morata",fullName:"Antonio Morata"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11080",title:"Engineering Principles",subtitle:"Welding and Residual Stresses",isOpenForSubmission:!1,hash:"6c07a13a113bce94174b40096f30fb5e",slug:"engineering-principles-welding-and-residual-stresses",bookSignature:"Kavian Omar Cooke and Ronaldo Câmara Cozza",coverURL:"https://cdn.intechopen.com/books/images_new/11080.jpg",editors:[{id:"138778",title:"Dr.",name:"Kavian",middleName:"Omar",surname:"Cooke",slug:"kavian-cooke",fullName:"Kavian Cooke"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11332",title:"Essential Oils",subtitle:"Advances in Extractions and Biological Applications",isOpenForSubmission:!1,hash:"742e6cae3a35686f975edc8d7f9afa94",slug:"essential-oils-advances-in-extractions-and-biological-applications",bookSignature:"Mozaniel Santana de Oliveira and Eloisa Helena de Aguiar Andrade",coverURL:"https://cdn.intechopen.com/books/images_new/11332.jpg",editors:[{id:"195290",title:"Ph.D.",name:"Mozaniel",middleName:null,surname:"Santana De Oliveira",slug:"mozaniel-santana-de-oliveira",fullName:"Mozaniel Santana De Oliveira"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11029",title:"Hepatitis B",subtitle:null,isOpenForSubmission:!1,hash:"609701f502efc3538c112ff47a2c2119",slug:"hepatitis-b",bookSignature:"Luis Rodrigo",coverURL:"https://cdn.intechopen.com/books/images_new/11029.jpg",editors:[{id:"73208",title:"Prof.",name:"Luis",middleName:null,surname:"Rodrigo",slug:"luis-rodrigo",fullName:"Luis Rodrigo"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"9537",title:"Human Rights in the Contemporary World",subtitle:null,isOpenForSubmission:!1,hash:"54f05b93812fd434f3962956d6413a6b",slug:"human-rights-in-the-contemporary-world",bookSignature:"Trudy Corrigan",coverURL:"https://cdn.intechopen.com/books/images_new/9537.jpg",editors:[{id:"197557",title:"Dr.",name:"Trudy",middleName:null,surname:"Corrigan",slug:"trudy-corrigan",fullName:"Trudy Corrigan"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11371",title:"Cerebral Circulation",subtitle:"Updates on Models, Diagnostics and Treatments of Related Diseases",isOpenForSubmission:!1,hash:"e2d3335445d2852d0b906bb9750e939f",slug:"cerebral-circulation-updates-on-models-diagnostics-and-treatments-of-related-diseases",bookSignature:"Alba Scerrati, Luca Ricciardi and Flavia Dones",coverURL:"https://cdn.intechopen.com/books/images_new/11371.jpg",editors:[{id:"182614",title:"Dr.",name:"Alba",middleName:null,surname:"Scerrati",slug:"alba-scerrati",fullName:"Alba Scerrati"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11012",title:"Radiopharmaceuticals",subtitle:"Current Research for Better Diagnosis and Therapy",isOpenForSubmission:!1,hash:"f9046d6f96148b285e776f384991120d",slug:"radiopharmaceuticals-current-research-for-better-diagnosis-and-therapy",bookSignature:"Farid A. Badria",coverURL:"https://cdn.intechopen.com/books/images_new/11012.jpg",editors:[{id:"41865",title:"Prof.",name:"Farid A.",middleName:null,surname:"Badria",slug:"farid-a.-badria",fullName:"Farid A. Badria"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"9974",title:"E-Learning and Digital Education in the Twenty-First Century",subtitle:null,isOpenForSubmission:!1,hash:"88b58d66e975df20425fc1dfd22d53aa",slug:"e-learning-and-digital-education-in-the-twenty-first-century",bookSignature:"M. Mahruf C. Shohel",coverURL:"https://cdn.intechopen.com/books/images_new/9974.jpg",editors:[{id:"94099",title:"Dr.",name:"M. Mahruf C.",middleName:null,surname:"Shohel",slug:"m.-mahruf-c.-shohel",fullName:"M. Mahruf C. Shohel"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}}],offset:12,limit:12,total:4431},hotBookTopics:{hotBooks:[],offset:0,limit:12,total:null},publish:{},publishingProposal:{success:null,errors:{}},books:{featuredBooks:[{type:"book",id:"10858",title:"MOOC (Massive Open Online Courses)",subtitle:null,isOpenForSubmission:!1,hash:"d32f86793bc72dde32532f509b1ec5b0",slug:"mooc-massive-open-online-courses-",bookSignature:"Dragan Cvetković",coverURL:"https://cdn.intechopen.com/books/images_new/10858.jpg",publishedDate:"June 23rd 2022",numberOfDownloads:1677,editors:[{id:"101330",title:"Dr.",name:"Dragan",middleName:"Mladen",surname:"Cvetković",slug:"dragan-cvetkovic",fullName:"Dragan Cvetković"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10195",title:"Serotonin and the CNS",subtitle:"New Developments in Pharmacology and Therapeutics",isOpenForSubmission:!1,hash:"7ed9d96da98233a885bd2869a8056c36",slug:"serotonin-and-the-cns-new-developments-in-pharmacology-and-therapeutics",bookSignature:"Berend Olivier",coverURL:"https://cdn.intechopen.com/books/images_new/10195.jpg",publishedDate:"June 23rd 2022",numberOfDownloads:1337,editors:[{id:"71579",title:"Prof.",name:"Berend",middleName:null,surname:"Olivier",slug:"berend-olivier",fullName:"Berend Olivier"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10755",title:"Corporate Governance",subtitle:"Recent Advances and Perspectives",isOpenForSubmission:!1,hash:"ffe06d1d5c4bf0fc2e63511825fe1257",slug:"corporate-governance-recent-advances-and-perspectives",bookSignature:"Okechukwu Lawrence Emeagwali and Feyza Bhatti",coverURL:"https://cdn.intechopen.com/books/images_new/10755.jpg",publishedDate:"June 23rd 2022",numberOfDownloads:1309,editors:[{id:"196317",title:"Associate Prof.",name:"Okechukwu Lawrence",middleName:null,surname:"Emeagwali",slug:"okechukwu-lawrence-emeagwali",fullName:"Okechukwu Lawrence Emeagwali"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11120",title:"Environmental Impact and Remediation of Heavy Metals",subtitle:null,isOpenForSubmission:!1,hash:"9e77514288e7394f1e6cd13481af3509",slug:"environmental-impact-and-remediation-of-heavy-metals",bookSignature:"Hosam M. Saleh and Amal I. Hassan",coverURL:"https://cdn.intechopen.com/books/images_new/11120.jpg",publishedDate:"June 23rd 2022",numberOfDownloads:847,editors:[{id:"144691",title:"Prof.",name:"Hosam M.",middleName:null,surname:"Saleh",slug:"hosam-m.-saleh",fullName:"Hosam M. Saleh"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10901",title:"Grapes and Wine",subtitle:null,isOpenForSubmission:!1,hash:"5d7f2aa74874444bc6986e613ccebd7c",slug:"grapes-and-wine",bookSignature:"Antonio Morata, Iris Loira and Carmen González",coverURL:"https://cdn.intechopen.com/books/images_new/10901.jpg",publishedDate:"June 15th 2022",numberOfDownloads:2273,editors:[{id:"180952",title:"Prof.",name:"Antonio",middleName:null,surname:"Morata",slug:"antonio-morata",fullName:"Antonio Morata"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11080",title:"Engineering Principles",subtitle:"Welding and Residual Stresses",isOpenForSubmission:!1,hash:"6c07a13a113bce94174b40096f30fb5e",slug:"engineering-principles-welding-and-residual-stresses",bookSignature:"Kavian Omar Cooke and Ronaldo Câmara Cozza",coverURL:"https://cdn.intechopen.com/books/images_new/11080.jpg",publishedDate:"June 23rd 2022",numberOfDownloads:591,editors:[{id:"138778",title:"Dr.",name:"Kavian",middleName:"Omar",surname:"Cooke",slug:"kavian-cooke",fullName:"Kavian Cooke"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11332",title:"Essential Oils",subtitle:"Advances in Extractions and Biological Applications",isOpenForSubmission:!1,hash:"742e6cae3a35686f975edc8d7f9afa94",slug:"essential-oils-advances-in-extractions-and-biological-applications",bookSignature:"Mozaniel Santana de Oliveira and Eloisa Helena de Aguiar Andrade",coverURL:"https://cdn.intechopen.com/books/images_new/11332.jpg",publishedDate:"June 23rd 2022",numberOfDownloads:515,editors:[{id:"195290",title:"Ph.D.",name:"Mozaniel",middleName:null,surname:"Santana De Oliveira",slug:"mozaniel-santana-de-oliveira",fullName:"Mozaniel Santana De Oliveira"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11029",title:"Hepatitis B",subtitle:null,isOpenForSubmission:!1,hash:"609701f502efc3538c112ff47a2c2119",slug:"hepatitis-b",bookSignature:"Luis Rodrigo",coverURL:"https://cdn.intechopen.com/books/images_new/11029.jpg",publishedDate:"June 23rd 2022",numberOfDownloads:413,editors:[{id:"73208",title:"Prof.",name:"Luis",middleName:null,surname:"Rodrigo",slug:"luis-rodrigo",fullName:"Luis Rodrigo"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"9537",title:"Human Rights in the Contemporary World",subtitle:null,isOpenForSubmission:!1,hash:"54f05b93812fd434f3962956d6413a6b",slug:"human-rights-in-the-contemporary-world",bookSignature:"Trudy Corrigan",coverURL:"https://cdn.intechopen.com/books/images_new/9537.jpg",publishedDate:"June 8th 2022",numberOfDownloads:2194,editors:[{id:"197557",title:"Dr.",name:"Trudy",middleName:null,surname:"Corrigan",slug:"trudy-corrigan",fullName:"Trudy Corrigan"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11371",title:"Cerebral Circulation",subtitle:"Updates on Models, Diagnostics and Treatments of Related Diseases",isOpenForSubmission:!1,hash:"e2d3335445d2852d0b906bb9750e939f",slug:"cerebral-circulation-updates-on-models-diagnostics-and-treatments-of-related-diseases",bookSignature:"Alba Scerrati, Luca Ricciardi and Flavia Dones",coverURL:"https://cdn.intechopen.com/books/images_new/11371.jpg",publishedDate:"June 23rd 2022",numberOfDownloads:341,editors:[{id:"182614",title:"Dr.",name:"Alba",middleName:null,surname:"Scerrati",slug:"alba-scerrati",fullName:"Alba Scerrati"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}}],latestBooks:[{type:"book",id:"11043",title:"Endometriosis",subtitle:"Recent Advances, New Perspectives and Treatments",isOpenForSubmission:!1,hash:"7baf1c70b11d41400bb9302ae9411ca4",slug:"endometriosis-recent-advances-new-perspectives-and-treatments",bookSignature:"Giovana Ap. Gonçalves",coverURL:"https://cdn.intechopen.com/books/images_new/11043.jpg",editedByType:"Edited by",publishedDate:"June 28th 2022",editors:[{id:"185930",title:"Associate Prof.",name:"Giovana",middleName:null,surname:"Gonçalves",slug:"giovana-goncalves",fullName:"Giovana Gonçalves"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10536",title:"Campylobacter",subtitle:null,isOpenForSubmission:!1,hash:"c4b132b741dd0a2ed539b824ab63965f",slug:"campylobacter",bookSignature:"Guillermo Tellez-Isaias and Saeed El-Ashram",coverURL:"https://cdn.intechopen.com/books/images_new/10536.jpg",editedByType:"Edited by",publishedDate:"June 28th 2022",editors:[{id:"73465",title:"Dr.",name:"Guillermo",middleName:null,surname:"Téllez",slug:"guillermo-tellez",fullName:"Guillermo Téllez"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10798",title:"Starch",subtitle:"Evolution and Recent Advances",isOpenForSubmission:!1,hash:"f197f6062c1574a9a90e50a369271bcf",slug:"starch-evolution-and-recent-advances",bookSignature:"Martins Ochubiojo Emeje",coverURL:"https://cdn.intechopen.com/books/images_new/10798.jpg",editedByType:"Edited by",publishedDate:"June 28th 2022",editors:[{id:"94311",title:"Prof.",name:"Martins",middleName:"Ochubiojo",surname:"Ochubiojo Emeje",slug:"martins-ochubiojo-emeje",fullName:"Martins Ochubiojo Emeje"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11083",title:"Hazardous Waste Management",subtitle:null,isOpenForSubmission:!1,hash:"d553bd4f6f1c4b115ca69bd19faac7dc",slug:"hazardous-waste-management",bookSignature:"Rajesh Banu Jeyakumar, Kavitha Sankarapandian and Yukesh Kannah Ravi",coverURL:"https://cdn.intechopen.com/books/images_new/11083.jpg",editedByType:"Edited by",publishedDate:"June 28th 2022",editors:[{id:"218539",title:"Dr.",name:"Rajesh Banu",middleName:null,surname:"Jeyakumar",slug:"rajesh-banu-jeyakumar",fullName:"Rajesh Banu Jeyakumar"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10848",title:"Tribology of Machine Elements",subtitle:"Fundamentals and Applications",isOpenForSubmission:!1,hash:"3c4ca4c4692ca8d4fa749b4ae81ec1fa",slug:"tribology-of-machine-elements-fundamentals-and-applications",bookSignature:"Giuseppe Pintaude, Tiago Cousseau and Anna Rudawska",coverURL:"https://cdn.intechopen.com/books/images_new/10848.jpg",editedByType:"Edited by",publishedDate:"June 28th 2022",editors:[{id:"18347",title:"Prof.",name:"Giuseppe",middleName:null,surname:"Pintaude",slug:"giuseppe-pintaude",fullName:"Giuseppe Pintaude"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10856",title:"Crude Oil",subtitle:"New Technologies and Recent Approaches",isOpenForSubmission:!1,hash:"8d0a7ca35b3de95b295dc4eab39a087e",slug:"crude-oil-new-technologies-and-recent-approaches",bookSignature:"Manar Elsayed Abdel-Raouf and Mohamed Hasan El-Keshawy",coverURL:"https://cdn.intechopen.com/books/images_new/10856.jpg",editedByType:"Edited by",publishedDate:"June 28th 2022",editors:[{id:"102626",title:"Prof.",name:"Manar",middleName:null,surname:"Elsayed Abdel-Raouf",slug:"manar-elsayed-abdel-raouf",fullName:"Manar Elsayed Abdel-Raouf"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"9625",title:"Spinocerebellar Ataxia",subtitle:"Concepts, Particularities and Generalities",isOpenForSubmission:!1,hash:"365a7025fd46eb45de2549bdd9d50b98",slug:"spinocerebellar-ataxia-concepts-particularities-and-generalities",bookSignature:"Patricia Bozzetto Ambrosi",coverURL:"https://cdn.intechopen.com/books/images_new/9625.jpg",editedByType:"Edited by",publishedDate:"June 28th 2022",editors:[{id:"221787",title:"Dr.",name:"Patricia",middleName:null,surname:"Bozzetto Ambrosi",slug:"patricia-bozzetto-ambrosi",fullName:"Patricia Bozzetto Ambrosi"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10905",title:"Plant Defense Mechanisms",subtitle:null,isOpenForSubmission:!1,hash:"84ad5b27dde5f01dc76087d0fd6fa834",slug:"plant-defense-mechanisms",bookSignature:"Josphert Ngui Kimatu",coverURL:"https://cdn.intechopen.com/books/images_new/10905.jpg",editedByType:"Edited by",publishedDate:"June 28th 2022",editors:[{id:"224171",title:"Prof.",name:"Josphert N.",middleName:null,surname:"Kimatu",slug:"josphert-n.-kimatu",fullName:"Josphert N. Kimatu"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10686",title:"Natural Gas",subtitle:"New Perspectives and Future Developments",isOpenForSubmission:!1,hash:"581763788a6a59e653a9d1d9b5a42d79",slug:"natural-gas-new-perspectives-and-future-developments",bookSignature:"Maryam Takht Ravanchi",coverURL:"https://cdn.intechopen.com/books/images_new/10686.jpg",editedByType:"Edited by",publishedDate:"June 28th 2022",editors:[{id:"2416",title:"Dr.",name:"Maryam",middleName:null,surname:"Takht Ravanchi",slug:"maryam-takht-ravanchi",fullName:"Maryam Takht Ravanchi"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10988",title:"Railway Transport Planning and Manageme",subtitle:null,isOpenForSubmission:!1,hash:"5cb54cc53caedad9ec78372563c82e2c",slug:"railway-transport-planning-and-management",bookSignature:"Stefano de Luca, Roberta Di Pace and Chiara Fiori",coverURL:"https://cdn.intechopen.com/books/images_new/10988.jpg",editedByType:"Edited by",publishedDate:"June 28th 2022",editors:[{id:"271061",title:"Prof.",name:"Stefano",middleName:null,surname:"de Luca",slug:"stefano-de-luca",fullName:"Stefano de Luca"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},subject:{topic:{id:"708",title:"Geotechnical Engineering",slug:"engineering-civil-engineering-geotechnical-engineering",parent:{id:"114",title:"Civil Engineering",slug:"engineering-civil-engineering"},numberOfBooks:4,numberOfSeries:0,numberOfAuthorsAndEditors:67,numberOfWosCitations:106,numberOfCrossrefCitations:82,numberOfDimensionsCitations:153,videoUrl:null,fallbackUrl:null,description:null},booksByTopicFilter:{topicId:"708",sort:"-publishedDate",limit:12,offset:0},booksByTopicCollection:[{type:"book",id:"8909",title:"Slope Engineering",subtitle:null,isOpenForSubmission:!1,hash:"9be2d5801074590ab1d79845ee5c47e9",slug:"slope-engineering",bookSignature:"Ali Ismet Kanlı",coverURL:"https://cdn.intechopen.com/books/images_new/8909.jpg",editedByType:"Edited by",editors:[{id:"243975",title:"Dr.",name:"Ali Ismet",middleName:null,surname:"Kanlı",slug:"ali-ismet-kanli",fullName:"Ali Ismet Kanlı"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"8240",title:"Geotechnical Engineering",subtitle:"Advances in Soil Mechanics and Foundation Engineering",isOpenForSubmission:!1,hash:"2a3c20b826fa5a5cf4693e418eb1c909",slug:"geotechnical-engineering-advances-in-soil-mechanics-and-foundation-engineering",bookSignature:"Sayed Hemeda and Mehmet Barış Can Ülker",coverURL:"https://cdn.intechopen.com/books/images_new/8240.jpg",editedByType:"Edited by",editors:[{id:"258282",title:"Prof.",name:"Sayed",middleName:null,surname:"Hemeda",slug:"sayed-hemeda",fullName:"Sayed Hemeda"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6532",title:"Drilling",subtitle:null,isOpenForSubmission:!1,hash:"3bb91a4e4eb17b4395091940cf1c36fe",slug:"drilling",bookSignature:"Ariffin Samsuri",coverURL:"https://cdn.intechopen.com/books/images_new/6532.jpg",editedByType:"Edited by",editors:[{id:"120519",title:"Prof.",name:"Ariffin",middleName:null,surname:"Samsuri",slug:"ariffin-samsuri",fullName:"Ariffin Samsuri"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3717",title:"Geoscience and Remote Sensing",subtitle:"New Achievements",isOpenForSubmission:!1,hash:null,slug:"geoscience-and-remote-sensing-new-achievements",bookSignature:"Pasquale Imperatore and Daniele Riccio",coverURL:"https://cdn.intechopen.com/books/images_new/3717.jpg",editedByType:"Edited by",editors:[{id:"4222",title:"Dr.",name:"Pasquale",middleName:null,surname:"Imperatore",slug:"pasquale-imperatore",fullName:"Pasquale Imperatore"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:4,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"10381",doi:"10.5772/9090",title:"Ground Based SAR Interferometry: a Novel Tool for Geoscience",slug:"ground-based-sar-interferometry-a-novel-tool-for-geoscience",totalDownloads:5301,totalCrossrefCites:28,totalDimensionsCites:47,abstract:null,book:{id:"3717",slug:"geoscience-and-remote-sensing-new-achievements",title:"Geoscience and Remote Sensing",fullTitle:"Geoscience and Remote Sensing New Achievements"},signatures:"Guido Luzi",authors:null},{id:"10403",doi:"10.5772/9112",title:"Methods and Performances for Multi-Pass SAR Interferometry",slug:"methods-and-performances-for-multi-pass-sar-interferometry",totalDownloads:2667,totalCrossrefCites:10,totalDimensionsCites:11,abstract:null,book:{id:"3717",slug:"geoscience-and-remote-sensing-new-achievements",title:"Geoscience and Remote Sensing",fullTitle:"Geoscience and Remote Sensing New Achievements"},signatures:"Stefano Tebaldini and Andrea Monti Guarnieri",authors:null},{id:"10395",doi:"10.5772/9104",title:"Artificial Intelligence in Geoscience and Remote Sensing",slug:"artificial-intelligence-in-geoscience-and-remote-sensing",totalDownloads:3622,totalCrossrefCites:1,totalDimensionsCites:11,abstract:null,book:{id:"3717",slug:"geoscience-and-remote-sensing-new-achievements",title:"Geoscience and Remote Sensing",fullTitle:"Geoscience and Remote Sensing New Achievements"},signatures:"David John Lary",authors:null},{id:"10384",doi:"10.5772/9093",title:"C-Band Sea Ice SAR Classification Based on Segmentwise Edge Features",slug:"c-band-sea-ice-sar-classification-based-on-segmentwise-edge-features",totalDownloads:2495,totalCrossrefCites:6,totalDimensionsCites:11,abstract:null,book:{id:"3717",slug:"geoscience-and-remote-sensing-new-achievements",title:"Geoscience and Remote Sensing",fullTitle:"Geoscience and Remote Sensing New Achievements"},signatures:"Juha Karvonen",authors:null},{id:"60598",doi:"10.5772/intechopen.75827",title:"Drilling Performance Optimization Based on Mechanical Specific Energy Technologies",slug:"drilling-performance-optimization-based-on-mechanical-specific-energy-technologies",totalDownloads:3215,totalCrossrefCites:5,totalDimensionsCites:9,abstract:"Mechanical specific energy (MSE) has been widely used to quantify drilling efficiency and maximize rate of penetration (ROP) in oil and gas wells drilling. In this chapter, MSE models respectively for directional or horizontal drilling and rotating drilling with positive displacement motor (PDM) are established based on the evaluation of virtues and defects of available MSE models. Meanwhile methods for drilling performance prediction and optimization based on MSE technologies are presented. Field data presented in this chapter indicates that the developed MSE models estimate MSE values with a reasonable approximation in the absence of reliable torque measurements, the method for optimizing drilling parameters can estimate optimum WOB values with different RPM to drill a specific formation interval with PDM. It also show that the optimum WOB is low for rotating drilling with PDM compared with the conventional drilling without PDM, increasing WOB does not always increase ROP but is more likely to decrease ROP. The drilling performance prediction and optimization methods based on MSE technologies could be effectively used to maximize ROP and allow operators to drill longer and avoid unnecessary trips, and is worthy to be applied and promoted with highly diagnostic accuracy, effective optimizing and simple operation.",book:{id:"6532",slug:"drilling",title:"Drilling",fullTitle:"Drilling"},signatures:"Xuyue Chen, Jin Yang and Deli Gao",authors:[{id:"227327",title:"Dr.",name:"Xuyue",middleName:null,surname:"Chen",slug:"xuyue-chen",fullName:"Xuyue Chen"},{id:"240043",title:"Prof.",name:"Jin",middleName:null,surname:"Yang",slug:"jin-yang",fullName:"Jin Yang"},{id:"240044",title:"Prof.",name:"Deli",middleName:null,surname:"Gao",slug:"deli-gao",fullName:"Deli Gao"}]}],mostDownloadedChaptersLast30Days:[{id:"60598",title:"Drilling Performance Optimization Based on Mechanical Specific Energy Technologies",slug:"drilling-performance-optimization-based-on-mechanical-specific-energy-technologies",totalDownloads:3215,totalCrossrefCites:5,totalDimensionsCites:9,abstract:"Mechanical specific energy (MSE) has been widely used to quantify drilling efficiency and maximize rate of penetration (ROP) in oil and gas wells drilling. In this chapter, MSE models respectively for directional or horizontal drilling and rotating drilling with positive displacement motor (PDM) are established based on the evaluation of virtues and defects of available MSE models. Meanwhile methods for drilling performance prediction and optimization based on MSE technologies are presented. Field data presented in this chapter indicates that the developed MSE models estimate MSE values with a reasonable approximation in the absence of reliable torque measurements, the method for optimizing drilling parameters can estimate optimum WOB values with different RPM to drill a specific formation interval with PDM. It also show that the optimum WOB is low for rotating drilling with PDM compared with the conventional drilling without PDM, increasing WOB does not always increase ROP but is more likely to decrease ROP. The drilling performance prediction and optimization methods based on MSE technologies could be effectively used to maximize ROP and allow operators to drill longer and avoid unnecessary trips, and is worthy to be applied and promoted with highly diagnostic accuracy, effective optimizing and simple operation.",book:{id:"6532",slug:"drilling",title:"Drilling",fullTitle:"Drilling"},signatures:"Xuyue Chen, Jin Yang and Deli Gao",authors:[{id:"227327",title:"Dr.",name:"Xuyue",middleName:null,surname:"Chen",slug:"xuyue-chen",fullName:"Xuyue Chen"},{id:"240043",title:"Prof.",name:"Jin",middleName:null,surname:"Yang",slug:"jin-yang",fullName:"Jin Yang"},{id:"240044",title:"Prof.",name:"Deli",middleName:null,surname:"Gao",slug:"deli-gao",fullName:"Deli Gao"}]},{id:"10399",title:"Electromagnetic Models for Remote Sensing of Layered Rough Media",slug:"electromagnetic-models-for-remote-sensing-of-layered-rough-media",totalDownloads:2208,totalCrossrefCites:0,totalDimensionsCites:2,abstract:null,book:{id:"3717",slug:"geoscience-and-remote-sensing-new-achievements",title:"Geoscience and Remote Sensing",fullTitle:"Geoscience and Remote Sensing New Achievements"},signatures:"Pasquale Imperatore, Antonio Iodice and Daniele Riccio",authors:null},{id:"61383",title:"Rate of Penetration Prediction Utilizing Hydromechanical Specific Energy",slug:"rate-of-penetration-prediction-utilizing-hydromechanical-specific-energy",totalDownloads:1491,totalCrossrefCites:5,totalDimensionsCites:9,abstract:"The prediction and the optimization of the rate of penetration (ROP), an important measure of drilling performance, have increasingly generated great interest. Several empirical techniques have been explored in the literature for the prediction and the optimization of ROP. In this study, four commonly used artificial intelligence (AI) algorithms are explored for the prediction of ROP based on the hydromechanical specific energy (HMSE) ROP model parameters. The AIs explored are the artificial neural network (ANN), extreme learning machine (ELM), support vector regression (SVR), and least-square support vector regression (LS-SVR). All the algorithms provided results with accuracy within acceptable range. The utilization of HMSE in selecting drilling variables for the prediction models provided an improved and consistent methodology of predicting ROP with drilling efficiency optimization objectives. This is valuable from an operational point of view, because it provides a reference point for measuring drilling efficiency and performance of the drilling process in terms of energy input and corresponding output in terms of ROP. The real-time drilling data utilized are must-haves, easily acquired, accessible, and controllable during drilling operations.",book:{id:"6532",slug:"drilling",title:"Drilling",fullTitle:"Drilling"},signatures:"Omogbolahan Ahmed, Ahmed Adeniran and Ariffin Samsuri",authors:[{id:"120519",title:"Prof.",name:"Ariffin",middleName:null,surname:"Samsuri",slug:"ariffin-samsuri",fullName:"Ariffin Samsuri"},{id:"222940",title:"Ph.D. Student",name:"Omogbolahan",middleName:null,surname:"Ahmed",slug:"omogbolahan-ahmed",fullName:"Omogbolahan Ahmed"},{id:"239856",title:"Dr.",name:"Ahmed",middleName:null,surname:"Adeniran",slug:"ahmed-adeniran",fullName:"Ahmed Adeniran"}]},{id:"74438",title:"Geoysynthetic Reinforced Embankment Slopes",slug:"geoysynthetic-reinforced-embankment-slopes",totalDownloads:554,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Slope failures lead to loss of life and damage to property. Slope instability of natural slope depends on natural and manmade factors such as excessive rainfall, earthquakes, deforestation, unplanned construction activity, etc. Manmade slopes are formed for embankments and cuttings. Steepening of slopes for construction of rail/road embankments or for widening of existing roads is a necessity for development. Use of geosynthetics for steep slope construction considering design and environmental aspects could be a viable alternative to these issues. Methods developed for unreinforced slopes have been extended to analyze geosynthetic reinforced slopes accounting for the presence of reinforcement. Designing geosynthetic reinforced slope with minimum length of geosynthetics leads to economy. This chapter presents review of literature and design methodologies available for reinforced slopes with granular and marginal backfills. Optimization of reinforcement length from face end of the slope and slope - reinforcement interactions are also presented.",book:{id:"8909",slug:"slope-engineering",title:"Slope Engineering",fullTitle:"Slope Engineering"},signatures:"Akshay Kumar Jha and Madhav Madhira",authors:[{id:"327589",title:"Dr.",name:"Akshay Kumar",middleName:"Kumar",surname:"Jha",slug:"akshay-kumar-jha",fullName:"Akshay Kumar Jha"},{id:"329058",title:"Prof.",name:"M.R.",middleName:null,surname:"Madhav",slug:"m.r.-madhav",fullName:"M.R. Madhav"}]},{id:"60352",title:"Intelligent Drilling and Coring Technologies for Unmanned Interplanetary Exploration",slug:"intelligent-drilling-and-coring-technologies-for-unmanned-interplanetary-exploration",totalDownloads:1323,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"The robotic technology, especially the intelligent robotics that can autonomously conduct numerous dangerous and uncertain tasks, has been widely applied to planetary explorations. Similar to terrestrial mining, before landing on planets or building planetary constructions, a drilling and coring activity should be first conducted to investigate the in-situ geological information. Given the technical advantages of unmanned robotics, utilizing an autonomous drill tool to acquire the planetary soil sample may be the most reliable and cost-effective solution. However, due to several unique challenges existed in unmanned drilling and coring activities, such as long-distance time delay, uncertain drilling formations, limited sensor resources, etc., it is indeed necessary to conduct researches to improve system’s adaptability to the complicated geological formations. Taking drill tool’s power consumption and soil’s coring morphology into account, this chapter proposed a drilling and coring characteristics online monitoring method to investigate suitable drilling parameters for different formations. Meanwhile, by applying pattern recognition techniques to classify different types of potential soil or rocks, a drillability classification model is built accurately to identify the current drilling formation. By combining suitable drilling parameters with the recognized drillability levels, a closed-loop drilling strategy is established finally, which can be applied to future interplanetary exploration.",book:{id:"6532",slug:"drilling",title:"Drilling",fullTitle:"Drilling"},signatures:"Junyue Tang, Qiquan Quan, Shengyuan Jiang, Jieneng Liang and\nZongquan Deng",authors:[{id:"227250",title:"Ph.D. Student",name:"Junyue",middleName:null,surname:"Tang",slug:"junyue-tang",fullName:"Junyue Tang"},{id:"228658",title:"Prof.",name:"Shengyuan",middleName:null,surname:"Jiang",slug:"shengyuan-jiang",fullName:"Shengyuan Jiang"},{id:"228668",title:"Prof.",name:"Qiquan",middleName:null,surname:"Quan",slug:"qiquan-quan",fullName:"Qiquan Quan"},{id:"228669",title:"Mr.",name:"Jieneng",middleName:null,surname:"Liang",slug:"jieneng-liang",fullName:"Jieneng Liang"},{id:"228671",title:"Prof.",name:"Zongquan",middleName:null,surname:"Deng",slug:"zongquan-deng",fullName:"Zongquan Deng"}]}],onlineFirstChaptersFilter:{topicId:"708",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:318,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:106,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:15,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"June 11th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:9,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,annualVolume:11418,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,annualVolume:11419,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,annualVolume:11420,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,annualVolume:11421,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,annualVolume:11422,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null},{id:"27",title:"Multi-Agent Systems",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",isOpenForSubmission:!0,annualVolume:11423,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. He has served as guest editor for a number of special issues of peer-reviewed international journals.",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:19,paginationItems:[{id:"82196",title:"Multi-Features Assisted Age Invariant Face Recognition and Retrieval Using CNN with Scale Invariant Heat Kernel Signature",doi:"10.5772/intechopen.104944",signatures:"Kamarajugadda Kishore Kumar and Movva Pavani",slug:"multi-features-assisted-age-invariant-face-recognition-and-retrieval-using-cnn-with-scale-invariant-",totalDownloads:6,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"82063",title:"Evaluating Similarities and Differences between Machine Learning and Traditional Statistical Modeling in Healthcare Analytics",doi:"10.5772/intechopen.105116",signatures:"Michele Bennett, Ewa J. Kleczyk, Karin Hayes and Rajesh Mehta",slug:"evaluating-similarities-and-differences-between-machine-learning-and-traditional-statistical-modelin",totalDownloads:6,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Machine Learning and Data Mining - Annual Volume 2022",coverURL:"https://cdn.intechopen.com/books/images_new/11422.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"81791",title:"Self-Supervised Contrastive Representation Learning in Computer Vision",doi:"10.5772/intechopen.104785",signatures:"Yalin Bastanlar and Semih Orhan",slug:"self-supervised-contrastive-representation-learning-in-computer-vision",totalDownloads:28,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"79345",title:"Application of Jump Diffusion Models in Insurance Claim Estimation",doi:"10.5772/intechopen.99853",signatures:"Leonard Mushunje, Chiedza Elvina Mashiri, Edina Chandiwana and Maxwell Mashasha",slug:"application-of-jump-diffusion-models-in-insurance-claim-estimation-1",totalDownloads:9,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Data Clustering",coverURL:"https://cdn.intechopen.com/books/images_new/10820.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}}]},overviewPagePublishedBooks:{paginationCount:9,paginationItems:[{type:"book",id:"7723",title:"Artificial Intelligence",subtitle:"Applications in Medicine and Biology",coverURL:"https://cdn.intechopen.com/books/images_new/7723.jpg",slug:"artificial-intelligence-applications-in-medicine-and-biology",publishedDate:"July 31st 2019",editedByType:"Edited by",bookSignature:"Marco Antonio Aceves-Fernandez",hash:"a3852659e727f95c98c740ed98146011",volumeInSeries:1,fullTitle:"Artificial Intelligence - Applications in Medicine and Biology",editors:[{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}}]},{type:"book",id:"7726",title:"Swarm Intelligence",subtitle:"Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/7726.jpg",slug:"swarm-intelligence-recent-advances-new-perspectives-and-applications",publishedDate:"December 4th 2019",editedByType:"Edited by",bookSignature:"Javier Del Ser, Esther Villar and Eneko Osaba",hash:"e7ea7e74ce7a7a8e5359629e07c68d31",volumeInSeries:2,fullTitle:"Swarm Intelligence - Recent Advances, New Perspectives and Applications",editors:[{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null}]},{type:"book",id:"7656",title:"Fuzzy Logic",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7656.jpg",slug:"fuzzy-logic",publishedDate:"February 5th 2020",editedByType:"Edited by",bookSignature:"Constantin Volosencu",hash:"54f092d4ffe0abf5e4172a80025019bc",volumeInSeries:3,fullTitle:"Fuzzy Logic",editors:[{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",institutionURL:null,country:{name:"Romania"}}}]},{type:"book",id:"9963",title:"Advances and Applications in Deep Learning",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/9963.jpg",slug:"advances-and-applications-in-deep-learning",publishedDate:"December 9th 2020",editedByType:"Edited by",bookSignature:"Marco Antonio Aceves-Fernandez",hash:"0d51ba46f22e55cb89140f60d86a071e",volumeInSeries:4,fullTitle:"Advances and Applications in Deep Learning",editors:[{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}}]}]},openForSubmissionBooks:{paginationCount:3,paginationItems:[{id:"11446",title:"Industry 4.0 - Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/11446.jpg",hash:"be984f45b90c1003798661ef885d8a34",secondStepPassed:!0,currentStepOfPublishingProcess:3,submissionDeadline:"May 12th 2022",isOpenForSubmission:!0,editors:[{id:"303193",title:"Dr.",name:"Meisam",surname:"Gordan",slug:"meisam-gordan",fullName:"Meisam Gordan"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{id:"11448",title:"Artificial Neural Networks - Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/11448.jpg",hash:"e57ff97a39cfc6fe68a1ac62b503dbe9",secondStepPassed:!0,currentStepOfPublishingProcess:3,submissionDeadline:"June 3rd 2022",isOpenForSubmission:!0,editors:[{id:"22866",title:"Dr.",name:"Chi Leung Patrick",surname:"Hui",slug:"chi-leung-patrick-hui",fullName:"Chi Leung Patrick Hui"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{id:"11447",title:"Swarm Intelligence - Recent Advances and Current Applications",coverURL:"https://cdn.intechopen.com/books/images_new/11447.jpg",hash:"f68e3c3430a74fc7a7eb97f6ea2bb42e",secondStepPassed:!1,currentStepOfPublishingProcess:2,submissionDeadline:"July 22nd 2022",isOpenForSubmission:!0,editors:[{id:"24555",title:"Dr.",name:"Marco Antonio",surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},onlineFirstChapters:{paginationCount:45,paginationItems:[{id:"82135",title:"Carotenoids in Cassava (Manihot esculenta Crantz)",doi:"10.5772/intechopen.105210",signatures:"Lovina I. Udoh, Josephine U. Agogbua, Eberechi R. Keyagha and Itorobong I. Nkanga",slug:"carotenoids-in-cassava-manihot-esculenta-crantz",totalDownloads:7,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Carotenoids - New Perspectives and Application",coverURL:"https://cdn.intechopen.com/books/images_new/10836.jpg",subseries:{id:"13",title:"Plant Physiology"}}},{id:"82112",title:"Comparative Senescence and Lifespan",doi:"10.5772/intechopen.105137",signatures:"Hassan M. Heshmati",slug:"comparative-senescence-and-lifespan",totalDownloads:8,totalCrossrefCites:0,totalDimensionsCites:0,authors:[{name:"Hassan M.",surname:"Heshmati"}],book:{title:"Mechanisms and Management of Senescence",coverURL:"https://cdn.intechopen.com/books/images_new/10935.jpg",subseries:{id:"11",title:"Cell Physiology"}}},{id:"81796",title:"Apoptosis-Related Diseases and Peroxisomes",doi:"10.5772/intechopen.105052",signatures:"Meimei Wang, Yakun Liu, Ni Chen, Juan Wang and Ye Zhao",slug:"apoptosis-related-diseases-and-peroxisomes",totalDownloads:11,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"The Metabolic Role of Peroxisome in Health and Disease",coverURL:"https://cdn.intechopen.com/books/images_new/10837.jpg",subseries:{id:"11",title:"Cell Physiology"}}},{id:"81723",title:"Peroxisomal Modulation as Therapeutic Alternative for Tackling Multiple Cancers",doi:"10.5772/intechopen.104873",signatures:"Shazia Usmani, Shadma Wahab, Abdul Hafeez, Shabana Khatoon and Syed Misbahul Hasan",slug:"peroxisomal-modulation-as-therapeutic-alternative-for-tackling-multiple-cancers",totalDownloads:4,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"The Metabolic Role of Peroxisome in Health and Disease",coverURL:"https://cdn.intechopen.com/books/images_new/10837.jpg",subseries:{id:"11",title:"Cell Physiology"}}},{id:"81638",title:"Aging and Neuropsychiatric Disease: A General Overview of Prevalence and Trends",doi:"10.5772/intechopen.103102",signatures:"Jelena Milić",slug:"aging-and-neuropsychiatric-disease-a-general-overview-of-prevalence-and-trends",totalDownloads:25,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Mechanisms and Management of Senescence",coverURL:"https://cdn.intechopen.com/books/images_new/10935.jpg",subseries:{id:"11",title:"Cell Physiology"}}},{id:"81566",title:"New and Emerging Technologies for Integrative Ambulatory Autonomic Assessment and Intervention as a Catalyst in the Synergy of Remote Geocoded Biosensing, Algorithmic Networked Cloud Computing, Deep Learning, and Regenerative/Biomic Medicine: Further Real",doi:"10.5772/intechopen.104092",signatures:"Robert L. Drury",slug:"new-and-emerging-technologies-for-integrative-ambulatory-autonomic-assessment-and-intervention-as-a-",totalDownloads:17,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Autonomic Nervous System - Special Interest Topics",coverURL:"https://cdn.intechopen.com/books/images_new/10835.jpg",subseries:{id:"12",title:"Human Physiology"}}},{id:"81576",title:"Carotenoids in Thermal Adaptation of Plants and Animals",doi:"10.5772/intechopen.104537",signatures:"Ivan M. Petyaev",slug:"carotenoids-in-thermal-adaptation-of-plants-and-animals",totalDownloads:24,totalCrossrefCites:0,totalDimensionsCites:0,authors:[{name:"Ivan",surname:"Petyaev"}],book:{title:"Carotenoids - New Perspectives and Application",coverURL:"https://cdn.intechopen.com/books/images_new/10836.jpg",subseries:{id:"13",title:"Plant Physiology"}}},{id:"81358",title:"New Insights on Carotenoid Production by Gordonia alkanivorans Strain 1B",doi:"10.5772/intechopen.103919",signatures:"Tiago P. Silva, Susana M. Paixão, Ana S. Fernandes, José C. Roseiro and Luís Alves",slug:"new-insights-on-carotenoid-production-by-gordonia-alkanivorans-strain-1b",totalDownloads:16,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Carotenoids - New Perspectives and Application",coverURL:"https://cdn.intechopen.com/books/images_new/10836.jpg",subseries:{id:"13",title:"Plant Physiology"}}},{id:"81298",title:"Roles of Extracellular Vesicles in Cancer Metastasis",doi:"10.5772/intechopen.103798",signatures:"Eman Helmy Thabet",slug:"roles-of-extracellular-vesicles-in-cancer-metastasis",totalDownloads:36,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Extracellular Vesicles - Role in Diseases, Pathogenesis and Therapy",coverURL:"https://cdn.intechopen.com/books/images_new/10796.jpg",subseries:{id:"11",title:"Cell Physiology"}}},{id:"81290",title:"Musculoskeletal Abnormalities Caused by Cystic Fibrosis",doi:"10.5772/intechopen.104591",signatures:"Mark Lambrechts",slug:"musculoskeletal-abnormalities-caused-by-cystic-fibrosis",totalDownloads:24,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Advances in Skeletal Muscle Health and Disease",coverURL:"https://cdn.intechopen.com/books/images_new/11675.jpg",subseries:{id:"11",title:"Cell Physiology"}}}]},subseriesFiltersForOFChapters:[{caption:"Plant Physiology",value:13,count:6,group:"subseries"},{caption:"Human Physiology",value:12,count:13,group:"subseries"},{caption:"Cell Physiology",value:11,count:26,group:"subseries"}],publishedBooks:{paginationCount:1,paginationItems:[{type:"book",id:"10843",title:"Persistent Organic Pollutants (POPs)",subtitle:"Monitoring, Impact and Treatment",coverURL:"https://cdn.intechopen.com/books/images_new/10843.jpg",slug:"persistent-organic-pollutants-pops-monitoring-impact-and-treatment",publishedDate:"April 13th 2022",editedByType:"Edited by",bookSignature:"Mohamed Nageeb Rashed",hash:"f5b1589f0a990b6114fef2dadc735dd9",volumeInSeries:1,fullTitle:"Persistent Organic Pollutants (POPs) - Monitoring, Impact and Treatment",editors:[{id:"63465",title:"Prof.",name:"Mohamed Nageeb",middleName:null,surname:"Rashed",slug:"mohamed-nageeb-rashed",fullName:"Mohamed Nageeb Rashed",profilePictureURL:"https://mts.intechopen.com/storage/users/63465/images/system/63465.gif",institutionString:null,institution:{name:"Aswan University",institutionURL:null,country:{name:"Egypt"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},subseriesFiltersForPublishedBooks:[{group:"subseries",caption:"Pollution",value:38,count:1}],publicationYearFilters:[{group:"publicationYear",caption:"2022",value:2022,count:1}],authors:{paginationCount:0,paginationItems:[]}},subseries:{item:{id:"15",type:"subseries",title:"Chemical Biology",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. This topic will closely deal with all emerging trends in this discipline.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11411,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. He performed post-doctoral studies at Max-Planck Institute, Germany, and University of Florence, Italy in addition to making several scientific visits abroad. He currently works as a Full Professor of Biochemistry in the Faculty of Pharmacy, Anadolu University, Turkey. Dr. Beydemir has published over a hundred scientific papers spanning protein biochemistry, enzymology and medicinal chemistry, reviews, book chapters and presented several conferences to scientists worldwide. He has received numerous publication awards from various international scientific councils. He serves in the Editorial Board of several international journals. Dr. Beydemir is also Rector of Bilecik Şeyh Edebali University, Turkey.",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",slug:"deniz-ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",biography:"Dr. Deniz Ekinci obtained a BSc in Chemistry in 2004, MSc in Biochemistry in 2006, and PhD in Biochemistry in 2009 from Atatürk University, Turkey. He studied at Stetson University, USA, in 2007-2008 and at the Max Planck Institute of Molecular Cell Biology and Genetics, Germany, in 2009-2010. Dr. Ekinci currently works as a Full Professor of Biochemistry in the Faculty of Agriculture and is the Head of the Enzyme and Microbial Biotechnology Division, Ondokuz Mayıs University, Turkey. He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. Dr. Ekinci serves as the Editor in Chief of four international books and is involved in the Editorial Board of several international journals.",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null,series:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983"},editorialBoard:[{id:"219081",title:"Dr.",name:"Abdulsamed",middleName:null,surname:"Kükürt",slug:"abdulsamed-kukurt",fullName:"Abdulsamed Kükürt",profilePictureURL:"https://mts.intechopen.com/storage/users/219081/images/system/219081.png",institutionString:null,institution:{name:"Kafkas University",institutionURL:null,country:{name:"Turkey"}}},{id:"241413",title:"Dr.",name:"Azhar",middleName:null,surname:"Rasul",slug:"azhar-rasul",fullName:"Azhar Rasul",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRT1oQAG/Profile_Picture_1635251978933",institutionString:null,institution:{name:"Government College University, Faisalabad",institutionURL:null,country:{name:"Pakistan"}}},{id:"178316",title:"Ph.D.",name:"Sergey",middleName:null,surname:"Sedykh",slug:"sergey-sedykh",fullName:"Sergey Sedykh",profilePictureURL:"https://mts.intechopen.com/storage/users/178316/images/system/178316.jfif",institutionString:null,institution:{name:"Novosibirsk State University",institutionURL:null,country:{name:"Russia"}}}]},onlineFirstChapters:{paginationCount:1,paginationItems:[{id:"82380",title:"Evolution of Parasitism and Pathogenic Adaptations in Certain Medically Important Fungi",doi:"10.5772/intechopen.105206",signatures:"Gokul Shankar Sabesan, Ranjit Singh AJA, Ranjith Mehenderkar and Basanta Kumar Mohanty",slug:"evolution-of-parasitism-and-pathogenic-adaptations-in-certain-medically-important-fungi",totalDownloads:4,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Fungal Infectious Diseases - Annual Volume 2022",coverURL:"https://cdn.intechopen.com/books/images_new/11400.jpg",subseries:{id:"4",title:"Fungal Infectious Diseases"}}}]},publishedBooks:{paginationCount:13,paginationItems:[{type:"book",id:"10798",title:"Starch",subtitle:"Evolution and Recent Advances",coverURL:"https://cdn.intechopen.com/books/images_new/10798.jpg",slug:"starch-evolution-and-recent-advances",publishedDate:"June 28th 2022",editedByType:"Edited by",bookSignature:"Martins Ochubiojo Emeje",hash:"f197f6062c1574a9a90e50a369271bcf",volumeInSeries:33,fullTitle:"Starch - Evolution and Recent Advances",editors:[{id:"94311",title:"Prof.",name:"Martins",middleName:"Ochubiojo",surname:"Ochubiojo Emeje",slug:"martins-ochubiojo-emeje",fullName:"Martins Ochubiojo Emeje",profilePictureURL:"https://mts.intechopen.com/storage/users/94311/images/system/94311.jpeg",institutionString:"National Institute for Pharmaceutical Research and Development",institution:{name:"National Institute for Pharmaceutical Research and Development",institutionURL:null,country:{name:"Nigeria"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"11332",title:"Essential Oils",subtitle:"Advances in Extractions and Biological Applications",coverURL:"https://cdn.intechopen.com/books/images_new/11332.jpg",slug:"essential-oils-advances-in-extractions-and-biological-applications",publishedDate:"June 23rd 2022",editedByType:"Edited by",bookSignature:"Mozaniel Santana de Oliveira and Eloisa Helena de Aguiar Andrade",hash:"742e6cae3a35686f975edc8d7f9afa94",volumeInSeries:32,fullTitle:"Essential Oils - Advances in Extractions and Biological Applications",editors:[{id:"195290",title:"Ph.D.",name:"Mozaniel",middleName:null,surname:"Santana De Oliveira",slug:"mozaniel-santana-de-oliveira",fullName:"Mozaniel Santana De Oliveira",profilePictureURL:"https://mts.intechopen.com/storage/users/195290/images/system/195290.png",institutionString:"Museu Paraense Emílio Goeldi",institution:{name:"Museu Paraense Emílio Goeldi",institutionURL:null,country:{name:"Brazil"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"10841",title:"Hydrolases",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/10841.jpg",slug:"hydrolases",publishedDate:"June 15th 2022",editedByType:"Edited by",bookSignature:"Sajjad Haider, Adnan Haider and Angel Catalá",hash:"4e868cde273d65a7ff54b1817d640629",volumeInSeries:29,fullTitle:"Hydrolases",editors:[{id:"110708",title:"Dr.",name:"Sajjad",middleName:null,surname:"Haider",slug:"sajjad-haider",fullName:"Sajjad Haider",profilePictureURL:"https://mts.intechopen.com/storage/users/110708/images/system/110708.png",institutionString:"King Saud University",institution:{name:"King Saud University",institutionURL:null,country:{name:"Saudi Arabia"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"10799",title:"Phenolic Compounds",subtitle:"Chemistry, Synthesis, Diversity, Non-Conventional Industrial, Pharmaceutical and Therapeutic Applications",coverURL:"https://cdn.intechopen.com/books/images_new/10799.jpg",slug:"phenolic-compounds-chemistry-synthesis-diversity-non-conventional-industrial-pharmaceutical-and-therapeutic-applications",publishedDate:"February 23rd 2022",editedByType:"Edited by",bookSignature:"Farid A. Badria",hash:"339199f254d2987ef3167eef74fb8a38",volumeInSeries:26,fullTitle:"Phenolic Compounds - Chemistry, Synthesis, Diversity, Non-Conventional Industrial, Pharmaceutical and Therapeutic Applications",editors:[{id:"41865",title:"Prof.",name:"Farid A.",middleName:null,surname:"Badria",slug:"farid-a.-badria",fullName:"Farid A. Badria",profilePictureURL:"https://mts.intechopen.com/storage/users/41865/images/system/41865.jpg",institutionString:"Mansoura University",institution:{name:"Mansoura University",institutionURL:null,country:{name:"Egypt"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"9753",title:"Terpenes and Terpenoids",subtitle:"Recent Advances",coverURL:"https://cdn.intechopen.com/books/images_new/9753.jpg",slug:"terpenes-and-terpenoids-recent-advances",publishedDate:"July 28th 2021",editedByType:"Edited by",bookSignature:"Shagufta Perveen and Areej Mohammad Al-Taweel",hash:"575689df13c78bf0e6c1be40804cd010",volumeInSeries:21,fullTitle:"Terpenes and Terpenoids - Recent Advances",editors:[{id:"192992",title:"Prof.",name:"Shagufta",middleName:null,surname:"Perveen",slug:"shagufta-perveen",fullName:"Shagufta Perveen",profilePictureURL:"https://mts.intechopen.com/storage/users/192992/images/system/192992.png",institutionString:"King Saud University",institution:{name:"King Saud University",institutionURL:null,country:{name:"Saudi Arabia"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"9731",title:"Oxidoreductase",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/9731.jpg",slug:"oxidoreductase",publishedDate:"February 17th 2021",editedByType:"Edited by",bookSignature:"Mahmoud Ahmed Mansour",hash:"852e6f862c85fc3adecdbaf822e64e6e",volumeInSeries:19,fullTitle:"Oxidoreductase",editors:[{id:"224662",title:"Prof.",name:"Mahmoud Ahmed",middleName:null,surname:"Mansour",slug:"mahmoud-ahmed-mansour",fullName:"Mahmoud Ahmed Mansour",profilePictureURL:"https://mts.intechopen.com/storage/users/224662/images/system/224662.jpg",institutionString:"King Saud bin Abdulaziz University for Health Sciences",institution:{name:"King Saud bin Abdulaziz University for Health Sciences",institutionURL:null,country:{name:"Saudi Arabia"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"8094",title:"Aflatoxin B1 Occurrence, Detection and Toxicological Effects",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/8094.jpg",slug:"aflatoxin-b1-occurrence-detection-and-toxicological-effects",publishedDate:"June 3rd 2020",editedByType:"Edited by",bookSignature:"Xi-Dai Long",hash:"44f4ad52d8a8cbb22ef3d505d6b18027",volumeInSeries:14,fullTitle:"Aflatoxin B1 Occurrence, Detection and Toxicological Effects",editors:[{id:"202142",title:"Prof.",name:"Xi-Dai",middleName:null,surname:"Long",slug:"xi-dai-long",fullName:"Xi-Dai Long",profilePictureURL:"https://mts.intechopen.com/storage/users/202142/images/system/202142.jpeg",institutionString:"Youjiang Medical University for Nationalities",institution:null}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"8004",title:"Nitrogen Fixation",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/8004.jpg",slug:"nitrogen-fixation",publishedDate:"April 8th 2020",editedByType:"Edited by",bookSignature:"Everlon Cid Rigobelo and Ademar Pereira Serra",hash:"02f39c8365ba155d1c520184c2f26976",volumeInSeries:11,fullTitle:"Nitrogen Fixation",editors:[{id:"39553",title:"Prof.",name:"Everlon",middleName:"Cid",surname:"Rigobelo",slug:"everlon-rigobelo",fullName:"Everlon Rigobelo",profilePictureURL:"https://mts.intechopen.com/storage/users/39553/images/system/39553.jpg",institutionString:"São Paulo State University",institution:{name:"Sao Paulo State University",institutionURL:null,country:{name:"Brazil"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"8028",title:"Flavonoids",subtitle:"A Coloring Model for Cheering up Life",coverURL:"https://cdn.intechopen.com/books/images_new/8028.jpg",slug:"flavonoids-a-coloring-model-for-cheering-up-life",publishedDate:"March 11th 2020",editedByType:"Edited by",bookSignature:"Farid A. Badria and Anthony Ananga",hash:"6c33178a5c7d2b276d2c6af4255def64",volumeInSeries:10,fullTitle:"Flavonoids - A Coloring Model for Cheering up Life",editors:[{id:"41865",title:"Prof.",name:"Farid A.",middleName:null,surname:"Badria",slug:"farid-a.-badria",fullName:"Farid A. Badria",profilePictureURL:"https://mts.intechopen.com/storage/users/41865/images/system/41865.jpg",institutionString:"Mansoura University",institution:{name:"Mansoura University",institutionURL:null,country:{name:"Egypt"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"8170",title:"Chemical Properties of Starch",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/8170.jpg",slug:"chemical-properties-of-starch",publishedDate:"March 11th 2020",editedByType:"Edited by",bookSignature:"Martins Emeje",hash:"0aedfdb374631bb3a33870c4ed16559a",volumeInSeries:9,fullTitle:"Chemical Properties of Starch",editors:[{id:"94311",title:"Prof.",name:"Martins",middleName:"Ochubiojo",surname:"Ochubiojo Emeje",slug:"martins-ochubiojo-emeje",fullName:"Martins Ochubiojo Emeje",profilePictureURL:"https://mts.intechopen.com/storage/users/94311/images/system/94311.jpeg",institutionString:"National Institute for Pharmaceutical Research and Development",institution:{name:"National Institute for Pharmaceutical Research and Development",institutionURL:null,country:{name:"Nigeria"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"8019",title:"Alginates",subtitle:"Recent Uses of This Natural Polymer",coverURL:"https://cdn.intechopen.com/books/images_new/8019.jpg",slug:"alginates-recent-uses-of-this-natural-polymer",publishedDate:"February 5th 2020",editedByType:"Edited by",bookSignature:"Leonel Pereira",hash:"61ea5c1aef462684a3b2215631b7dbf2",volumeInSeries:7,fullTitle:"Alginates - Recent Uses of This Natural Polymer",editors:[{id:"279788",title:"Dr.",name:"Leonel",middleName:null,surname:"Pereira",slug:"leonel-pereira",fullName:"Leonel Pereira",profilePictureURL:"https://mts.intechopen.com/storage/users/279788/images/system/279788.jpg",institutionString:"University of Coimbra",institution:{name:"University of Coimbra",institutionURL:null,country:{name:"Portugal"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"8504",title:"Pectins",subtitle:"Extraction, Purification, Characterization and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/8504.jpg",slug:"pectins-extraction-purification-characterization-and-applications",publishedDate:"January 22nd 2020",editedByType:"Edited by",bookSignature:"Martin Masuelli",hash:"ff1acef627b277c575a10b3259dd331b",volumeInSeries:6,fullTitle:"Pectins - Extraction, Purification, Characterization and Applications",editors:[{id:"99994",title:"Dr.",name:"Martin",middleName:"Alberto",surname:"Masuelli",slug:"martin-masuelli",fullName:"Martin Masuelli",profilePictureURL:"https://mts.intechopen.com/storage/users/99994/images/system/99994.png",institutionString:"National University of San Luis",institution:{name:"National University of San Luis",institutionURL:null,country:{name:"Argentina"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},testimonialsList:[{id:"18",text:"It was great publishing with IntechOpen, the process was straightforward and I had support all along.",author:{id:"71579",name:"Berend",surname:"Olivier",institutionString:"Utrecht University",profilePictureURL:"https://mts.intechopen.com/storage/users/71579/images/system/71579.png",slug:"berend-olivier",institution:{id:"253",name:"Utrecht University",country:{id:null,name:"Netherlands"}}}},{id:"27",text:"The opportunity to work with a prestigious publisher allows for the possibility to collaborate with more research groups interested in animal nutrition, leading to the development of new feeding strategies and food valuation while being more sustainable with the environment, allowing more readers to learn about the subject.",author:{id:"175967",name:"Manuel",surname:"Gonzalez Ronquillo",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/175967/images/system/175967.png",slug:"manuel-gonzalez-ronquillo",institution:{id:"6221",name:"Universidad Autónoma del Estado de México",country:{id:null,name:"Mexico"}}}},{id:"8",text:"I work with IntechOpen for a number of reasons: their professionalism, their mission in support of Open Access publishing, and the quality of their peer-reviewed publications, but also because they believe in equality.",author:{id:"202192",name:"Catrin",surname:"Rutland",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",slug:"catrin-rutland",institution:{id:"134",name:"University of Nottingham",country:{id:null,name:"United Kingdom"}}}}]},submityourwork:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:318,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:106,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:15,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],subseriesList:[],annualVolumeBook:{},thematicCollection:[],selectedSeries:null,selectedSubseries:null},seriesLanding:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. This Biochemistry Series will address the current research on biomolecules and the emerging trends with great promise.",coverUrl:"https://cdn.intechopen.com/series/covers/11.jpg",latestPublicationDate:"June 29th, 2022",hasOnlineFirst:!0,numberOfOpenTopics:4,numberOfPublishedChapters:318,numberOfPublishedBooks:32,editor:{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},subseries:[{id:"14",title:"Cell and Molecular Biology",keywords:"Omics (Transcriptomics; Proteomics; Metabolomics), Molecular Biology, Cell Biology, Signal Transduction and Regulation, Cell Growth and Differentiation, Apoptosis, Necroptosis, Ferroptosis, Autophagy, Cell Cycle, Macromolecules and Complexes, Gene Expression",scope:"The Cell and Molecular Biology topic within the IntechOpen Biochemistry Series aims to rapidly publish contributions on all aspects of cell and molecular biology, including aspects related to biochemical and genetic research (not only in humans but all living beings). We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics include, but are not limited to: Advanced techniques of cellular and molecular biology (Molecular methodologies, imaging techniques, and bioinformatics); Biological activities at the molecular level; Biological processes of cell functions, cell division, senescence, maintenance, and cell death; Biomolecules interactions; Cancer; Cell biology; Chemical biology; Computational biology; Cytochemistry; Developmental biology; Disease mechanisms and therapeutics; DNA, and RNA metabolism; Gene functions, genetics, and genomics; Genetics; Immunology; Medical microbiology; Molecular biology; Molecular genetics; Molecular processes of cell and organelle dynamics; Neuroscience; Protein biosynthesis, degradation, and functions; Regulation of molecular interactions in a cell; Signalling networks and system biology; Structural biology; Virology and microbiology.",annualVolume:11410,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"79367",title:"Dr.",name:"Ana Isabel",middleName:null,surname:"Flores",fullName:"Ana Isabel Flores",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRpIOQA0/Profile_Picture_1632418099564",institutionString:null,institution:{name:"Hospital Universitario 12 De Octubre",institutionURL:null,country:{name:"Spain"}}},{id:"328234",title:"Ph.D.",name:"Christian",middleName:null,surname:"Palavecino",fullName:"Christian Palavecino",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000030DhEhQAK/Profile_Picture_1628835318625",institutionString:null,institution:{name:"Central University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"186585",title:"Dr.",name:"Francisco Javier",middleName:null,surname:"Martin-Romero",fullName:"Francisco Javier Martin-Romero",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSB3HQAW/Profile_Picture_1631258137641",institutionString:null,institution:{name:"University of Extremadura",institutionURL:null,country:{name:"Spain"}}}]},{id:"15",title:"Chemical Biology",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. This topic will closely deal with all emerging trends in this discipline.",annualVolume:11411,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null,editorialBoard:[{id:"219081",title:"Dr.",name:"Abdulsamed",middleName:null,surname:"Kükürt",fullName:"Abdulsamed Kükürt",profilePictureURL:"https://mts.intechopen.com/storage/users/219081/images/system/219081.png",institutionString:null,institution:{name:"Kafkas University",institutionURL:null,country:{name:"Turkey"}}},{id:"241413",title:"Dr.",name:"Azhar",middleName:null,surname:"Rasul",fullName:"Azhar Rasul",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRT1oQAG/Profile_Picture_1635251978933",institutionString:null,institution:{name:"Government College University, Faisalabad",institutionURL:null,country:{name:"Pakistan"}}},{id:"178316",title:"Ph.D.",name:"Sergey",middleName:null,surname:"Sedykh",fullName:"Sergey Sedykh",profilePictureURL:"https://mts.intechopen.com/storage/users/178316/images/system/178316.jfif",institutionString:null,institution:{name:"Novosibirsk State University",institutionURL:null,country:{name:"Russia"}}}]},{id:"17",title:"Metabolism",keywords:"Biomolecules Metabolism, Energy Metabolism, Metabolic Pathways, Key Metabolic Enzymes, Metabolic Adaptation",scope:"Metabolism is frequently defined in biochemistry textbooks as the overall process that allows living systems to acquire and use the free energy they need for their vital functions or the chemical processes that occur within a living organism to maintain life. Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. Thus all studies on metabolism will be considered for publication.",annualVolume:11413,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"243049",title:"Dr.",name:"Anca",middleName:null,surname:"Pantea Stoian",fullName:"Anca Pantea Stoian",profilePictureURL:"https://mts.intechopen.com/storage/users/243049/images/system/243049.jpg",institutionString:null,institution:{name:"Carol Davila University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"203824",title:"Dr.",name:"Attilio",middleName:null,surname:"Rigotti",fullName:"Attilio Rigotti",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institutionString:null,institution:{name:"Pontifical Catholic University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"300470",title:"Dr.",name:"Yanfei (Jacob)",middleName:null,surname:"Qi",fullName:"Yanfei (Jacob) Qi",profilePictureURL:"https://mts.intechopen.com/storage/users/300470/images/system/300470.jpg",institutionString:null,institution:{name:"Centenary Institute of Cancer Medicine and Cell Biology",institutionURL:null,country:{name:"Australia"}}}]},{id:"18",title:"Proteomics",keywords:"Mono- and Two-Dimensional Gel Electrophoresis (1-and 2-DE), Liquid Chromatography (LC), Mass Spectrometry/Tandem Mass Spectrometry (MS; MS/MS), Proteins",scope:"With the recognition that the human genome cannot provide answers to the etiology of a disorder, changes in the proteins expressed by a genome became a focus in research. Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",annualVolume:11414,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null,editorialBoard:[{id:"72288",title:"Dr.",name:"Arli Aditya",middleName:null,surname:"Parikesit",fullName:"Arli Aditya Parikesit",profilePictureURL:"https://mts.intechopen.com/storage/users/72288/images/system/72288.jpg",institutionString:null,institution:{name:"Indonesia International Institute for Life Sciences",institutionURL:null,country:{name:"Indonesia"}}},{id:"40928",title:"Dr.",name:"Cesar",middleName:null,surname:"Lopez-Camarillo",fullName:"Cesar Lopez-Camarillo",profilePictureURL:"https://mts.intechopen.com/storage/users/40928/images/3884_n.png",institutionString:null,institution:{name:"Universidad Autónoma de la Ciudad de México",institutionURL:null,country:{name:"Mexico"}}},{id:"81926",title:"Dr.",name:"Shymaa",middleName:null,surname:"Enany",fullName:"Shymaa Enany",profilePictureURL:"https://mts.intechopen.com/storage/users/81926/images/system/81926.png",institutionString:"Suez Canal University",institution:{name:"Suez Canal University",institutionURL:null,country:{name:"Egypt"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/16705",hash:"",query:{},params:{id:"16705"},fullPath:"/chapters/16705",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()