The alginate content of various algae species.
\r\n\tThe book also covers the more specialized areas of energy consumption, riding comfort, noise and vibration.
\r\n\tEscalators and passengers conveyors should also be addressed, as these devices complement elevator system in moving passenger around the building.
\r\n\tModern developments are hope to be covered within the relevant chapters, some of which are listed as follows: Modern electrical safety systems,Modern shaft and motor feedback devices, Modern electrical drive system, Two elevator cars in the same shaft, Multiple elevator car systems in the same shaft, Evacuation systems using elevators, Modern calculation and simulation tools and software packages, Ropeless elevator systems.
",isbn:null,printIsbn:"979-953-307-X-X",pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,hash:"8d5766ef86475867198610aeb050233c",bookSignature:"Dr. Lutfi Al-Sharif",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/10040.jpg",keywords:"Elevator Traffic Engineering, Simulation, Elevator Mechanical Engineering, Safety Gear System, Drive Systems, Control Systems, Energy Consumption, Power, Riding Comfort, Noise and Vibration, Escalators, Passenger Conveyors",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:1,numberOfDimensionsCitations:1,numberOfTotalCitations:2,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"November 14th 2019",dateEndSecondStepPublish:"February 28th 2020",dateEndThirdStepPublish:"April 28th 2020",dateEndFourthStepPublish:"July 17th 2020",dateEndFifthStepPublish:"September 15th 2020",remainingDaysToSecondStep:"2 years",secondStepPassed:!0,currentStepOfPublishingProcess:5,editedByType:null,kuFlag:!1,biosketch:null,coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"314726",title:"Dr.",name:"Lutfi",middleName:null,surname:"Al-Sharif",slug:"lutfi-al-sharif",fullName:"Lutfi Al-Sharif",profilePictureURL:"https://mts.intechopen.com/storage/users/314726/images/system/314726.png",biography:"Lutfi Al-Sharif is currently the dean of Engineering Technology and professor of Electrical Engineering at Al-Hussein Technical University in Amman/Jordan, and jointly professor of Building Transportation Systems at the Department of Mechatronics Engineering, the University of Jordan. He received his Ph.D. in elevator traffic analysis in 1992 from the University of Manchester, U.K. He worked for 10 years for the London Underground, United Kingdom, focusing on elevators and escalators. He has over 50 papers published in peer-reviewed journals and conferences in vertical transportation systems and is the co-inventor of four patents, coauthor of the 2nd edition of the Elevator Traffic Handbook, and author of the “Indoor Transportation” chapter in the Elsevier Encyclopaedia of Transportation.",institutionString:"Al-Hussein Technical University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"University of Jordan",institutionURL:null,country:{name:"Jordan"}}}],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:"194667",firstName:"Marijana",lastName:"Francetic",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/194667/images/4752_n.jpg",email:"marijana@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:"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:"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:"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:"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"}},{type:"book",id:"117",title:"Artificial Neural Networks",subtitle:"Methodological Advances and Biomedical Applications",isOpenForSubmission:!1,hash:null,slug:"artificial-neural-networks-methodological-advances-and-biomedical-applications",bookSignature:"Kenji Suzuki",coverURL:"https://cdn.intechopen.com/books/images_new/117.jpg",editedByType:"Edited by",editors:[{id:"3095",title:"Prof.",name:"Kenji",surname:"Suzuki",slug:"kenji-suzuki",fullName:"Kenji Suzuki"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3828",title:"Application of Nanotechnology in Drug Delivery",subtitle:null,isOpenForSubmission:!1,hash:"51a27e7adbfafcfedb6e9683f209cba4",slug:"application-of-nanotechnology-in-drug-delivery",bookSignature:"Ali Demir Sezer",coverURL:"https://cdn.intechopen.com/books/images_new/3828.jpg",editedByType:"Edited by",editors:[{id:"62389",title:"PhD.",name:"Ali Demir",surname:"Sezer",slug:"ali-demir-sezer",fullName:"Ali Demir Sezer"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"872",title:"Organic Pollutants Ten Years After the Stockholm Convention",subtitle:"Environmental and Analytical Update",isOpenForSubmission:!1,hash:"f01dc7077e1d23f3d8f5454985cafa0a",slug:"organic-pollutants-ten-years-after-the-stockholm-convention-environmental-and-analytical-update",bookSignature:"Tomasz Puzyn and Aleksandra Mostrag-Szlichtyng",coverURL:"https://cdn.intechopen.com/books/images_new/872.jpg",editedByType:"Edited by",editors:[{id:"84887",title:"Dr.",name:"Tomasz",surname:"Puzyn",slug:"tomasz-puzyn",fullName:"Tomasz Puzyn"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"79605",title:"Algal Alginate in Biotechnology: Biosynthesis and Applications",doi:"10.5772/intechopen.101407",slug:"algal-alginate-in-biotechnology-biosynthesis-and-applications",body:'Algae are photosynthetic eukaryotic organisms that are found in many environments such as sea, freshwater, and land and they are significantly important for oxygen production all around the world. Most of them are microscopic organisms, and their cell size can vary from 1 μm up to 10 m. There are around 72,500 algal species that produce different metabolites and products such as carbohydrates, proteins, vitamins, and many other secondary metabolites that have different benefits to humans and other organisms [1]. Since algae are exposed to stress in their nature, such as high UV radiation, salinity, desiccation and so on, their metabolites can have high antioxidant and anti-inflammatory activity, which make them valuable. They support almost all life forms in the biosphere, being a food source with high protein content (~20%) [2].
Alginate is an unbranched polymer which consists of two different residues; α-L-guluronic acid (G block) and β-d-mannuronic acid (M block) that are linearly linked together by 1–4 linkages to form the polymer as shown in Figure 1a [11, 12]. It is the most abundant biopolymer in the world and one of the primary carbohydrates in brown seaweeds [
(a) Chemical structure of G and M blocks; (b) Most used algae strains in alginate production [
The present book chapter focusses on alginate biosynthesis in algae and its extraction, immobilization of algae in alginate, and utilization of alginate in food and cosmetics sectors, pharmaceutical and biomedical applications, green nanotechnologies, and wastewater treatment as a coagulant.
For many years, alginate has attracted great interest in food, cosmetic, biomedical and pharmaceutical industries, and therefore the potential sources of alginate have been extensively studied to meet the commercial demand. Brown seaweeds also known as the marine macroalgae are recognized as the main producer of commercial alginate. These seaweeds (class
Today, all commercial alginates are obtained from algal sources and their composition varies among the species. The main genera containing a high amount of alginate are
Macroalgae species | Alginate yield (%) | References |
---|---|---|
17.2 ± 0.3 | [22] | |
40 | [23] | |
33.18 ± 0.22 | [21] | |
3.5 | [24] | |
9.36 ± 2.51 | [25] | |
13.57 ± 0.13 | [26] | |
23 ± 1.6 | [20] | |
16 ± 0.7 | ||
22 ± 1.1 | ||
29 ± 4.2 | ||
26 ± 0.6 | ||
31 | [27] | |
30 | ||
31 | ||
25 ± 0.21 | [28] | |
24 ± 0.12 | ||
44 ± 0.15 | [29] | |
24 ± 0.8 | [30] | |
9.9 ± 0.8 | [31] | |
28.7 | [32] | |
23.13 | [33] | |
55.2 ± 0.51 | [34] | |
41.3 ± 0.66 |
The alginate content of various algae species.
Previous metabolic studies have focused on the investigation of biological pathway of alginate synthesis in brown algae and bacteria that is another source of alginate. Despite the advances in molecular biology and genomic studies, the biosynthesis pathway and regulatory mechanism of alginate in algae have been poorly characterized. However, several studies of bacterial and algal alginate production have shown striking similarities in the basic pathway and thus these findings may provide strong clues regarding the mechanism in seaweeds [35, 36]. The molecular bases of alginate production begin with the fructose-6-phosphate and it is converted to guanosine di-phosphate-mannuronic acid (GDP-ManA) with a series of enzymatic transformations. Various enzymes including, mannose-6-phosphate isomerase (MPI), phosphomannomutase (PMM), mannose-1-phosphate guanylyltransferase (MPG), GDP-mannose/UDP glucose-6-dehydrogenase (GMD/UGD) are responsible for the synthesis of alginate precursor [35, 37]. GDP-ManA is then transferred across the cytoplasmic membrane and polymerized to the polymannuronate by the membrane-anchored proteins. After this stage, it may contain some residues unrelated to the alginate structure and it undergoes a modification step consisting of epimerization and degradation. The epimerization process is carried out by the mannuranoate C5-epimerases (MC5E) conducting the isomerization from mannuronic acid to guluronic acid. It should be underlined that the alginate synthesis route in bacteria differs from algae with the O-acetylation process that protects the produced alginate from degradation [38]. Finally, alginate polymer, composed of α-l-guluronic acid and the β-d-mannuronic acid, is formed, exported through the outer membrane, and released from the cell. Evidence for the biosynthesis of this polysaccharide within brown macroalgae come from a few studies with a limited number of species such as
Commercial alginate is mainly obtained from the biomass of brown macroalgae, and the conventional extraction process consists of multiple steps integrated to maximize product yield. Generally, the protocol begins with a pretreatment stage in which harvested and dried biomass is exposed to an acidic solution in order to break the cell wall, solubilize the relevant components, and reduce the viscosity of alginate to a desired level [26]. The second step is the alkali extraction, which is the most critical part of whole process because it greatly affects the yield and specific features of extracted alginate. At this stage, acidified biomass is treated with a strong alkali solution mostly sodium carbonate or sodium hydroxide in order to recover the alginic acid as soluble sodium alginate. The residue is removed with centrifugation or filtration and then the obtained extract is precipitated with the use of calcium chloride, hydrochloric acid, or sulfuric acid so as to precipitate alginates in their acid or calcium salt form. Finally, the alginate product is dried, milled and ready for commercial use (Figure 2) [17, 39].
Classical alginate extraction procedure from macroalgae.
At the industrial level, the classical extraction method of alginate is widely used but it is highly complicated, time-consuming and requires high amount of solvents and chemicals. Therefore, novel approaches are suggested from several studies for the development of more suitable and effective extraction process (Figure 3). Sugiono et al. [40] performed an extrusion-assisted extraction procedure and optimized the key parameters (brown algae: solution ratio, feed rate and pH) for the alginate extraction from
Flow diagram of different extraction techniques from literature [
More recently, there has been a growing interest in the application of green technologies and biorefinery approach for the extraction of biological compounds. In this context, the development and optimization of biorefinery processes that integrate a sequential extraction steps in order to release multiple products of brown macroalgae is considered an effective, timesaving and green procedure. Several authors examined the extraction of a couple of components including alginate, fucoidan, laminarin, sugar, and so on with a biorefinery concept [33, 44, 45]. Yuan and Macquarrie [33] developed a step-by-step process to obtain a variety of products from
Microalgae are one of the most remarkable species utilized in biotechnology for numerous purposes. They are crucial for biofuel production [46], bioremediation, and biotransformation [47], fuel cells applications [48], and also for wastewater treatment [49]. For this matter, the adaptation of efficient immobilization methods for microalgal applications is crucial to develop novel manufacturing strategies (Table 2). Most of these industries require low-cost and easy immobilization methods, of which alginate is one of the most profound encapsulation agents can serve this demand [63]. Additionally, due to their transparent nature, alginate matrices do not interfere with the photosynthetic efficiency of algae [64]. Various microalgae (
Target | Aim | Advantage | Disadvantage | Mode/Approach | Common microalgae species | References |
---|---|---|---|---|---|---|
Wastewater treatment/ Bioremediation | Removal of wastes and polluting chemicals | Reduced cost at downstream operations Enhanced cell survival Durable and long-term cultivation Continuous removal of nutrients, heavy metals, suspended solids and toxic organic compounds | Slower removal of phosphorus | Packed bed Airlift photobioreactors Biofilm photobioreactors Immobilized sheets Suspended alginate beads | [50, 51, 52, 53] | |
Biotransformation | Decrease the toxic effect of compounds in aquatic systems Endocrine disrupting components Polycyclic aromatic hydrocarbons Phenolic compounds Dyes | Low capital cost High removal rates Small scale operations | Limited knowledge on microalgal biotransformation metabolism Requirement of extremophilic algae species Toxicity of the compounds to the algal cells | Suspended beads Immobilized alginate sheets Packed bed columns Airlift photobioreactors Biofilm photobioreactors Immobilized sheets | [54, 55, 56, 57] | |
Biosensor | Environmental monitoring for aquatic and soil quality as toxicity bio-indication Suitable for agricultural and aquaculture purposes | Real time analysis Rapid pollutant removal | Disruption of alginate networks in water Dehydration and decomposition of the biosensor Lower detection quality | Disruption of PSII electron transfer by herbicides and other toxic molecules | [58, 59] | |
Culture collection and handling | Increasing the success of long-term microalgae storage | Sustained metabolic activity at 4°C Time and cost efficient | Lack of standardized methods as it is in animal cell cultures | Immobilization in alginate beads or surfaces | Various important biotechnological species | [60] |
Biohydrogen | Increasing the biohydrogen production efficiency and productivity | Prolonged hydrogen production compared to suspension cultures Enhanced cell viability in anaerobic cultures Decreased sensitivity to oxygen | Scale up Degradation of alginate in aqueous environment | Beads Sheets Tubular bioreactor Bubble column photobioreactor | [61, 62] |
Microalgae immobilization methods.
Biohydrogen as a green alternative fuel is known to be produced by microalgae species under anaerobic conditions [66]. Although microalgae are important for biohydrogen production, large-scale operations are hindered due to the oxygen sensitivity of hydrogenase enzymes [67]. Successful immobilization of
Microalgae in wastewater systems can also be immobilized with alginate for the continuous removal of nitrogen and phosphorous to decrease organic loads of wastewater systems [53, 54, 55]. This approach is a clean and sustainable understanding for wastewater treatment, which inspired the utilization of microalgae for bioremediation purposes [68, 69] and removal of heavy metals [50] and other toxic molecules in the aquatic systems. There are also novel concepts to use immobilized microalgae networks as biosensors to check soil and water quality [58, 59].
Co-immobilization of different cell types can enhance the immobilized microalgae consortium. Microalgae growth-enhancing organisms can enhance the biomass accumulation in immobilized systems, which can increase the efficiency of immobilization for wastewater treatment, bioremediation, and biotransformation purposes [70, 71]. Symbiotic systems of algae-fungi in matrices can increase the efficacy of immobilization and decrease the toxic harms of heavy metals on algae [72].
Although alginate can provide a good environment for microalgae, there are several limitations concerning the stability of alginate gels. In aqueous systems, due to the diffusion of Ca+2 ions to aqueous environment, the alginate network can loosen, which subsequently damage the network. Thus, designer gels and/or blends with several other hydrogels can increase the durability and mechanical properties of alginate network [63, 73]. Another important aspect is although alginate does not affect cell proliferation, denser cultures may be needed, or due to dense culture diffusion limitation may increase cell death [62].
Recently, food consumers have begun to consider nutrition contents of foods and desire more natural foods instead of the synthetic ones. As a result of that, foods which contain alginate as a natural substance have become more popular [74]. Most importantly, the United State Food and Drug Administration (U.S. FDA) has classified the alginate as “generally regarded as safe” and European Food Safety Authority (EFSA) has recognized to use it in specific doses [75, 76]. In the food sector, alginate has many uses as food production, packaging, thickening and, stabilizing agents, thanks to its unique properties like biodegradability, biocompatibility, renewability, and lack of toxicity [17, 74, 75, 77, 78, 79]. It has been noticed that alginate is easily tolerated in human body [80]. For this reason, it has been harmlessly inserted in a wide range of food products. Those can be listed as tinned, baked and, frozen foods, meat, poultry, salad, seafood, pet food, cheese, fruit, beverage, jelly, dessert, jam, ice cream, sorbet, and mayonnaise [17, 76, 81, 82, 83, 84]. Additionally, it is considered functional food that has ability to reduce the risk of chronic diseases and make them more controllable [17, 85]. Thus, it enhances the quality of life due to its anticancer and probiotic features [17]. In addition, it can be applied to dairy liquid products, beer, and drinks which are consumed by diabetic patients [17, 80]. Also, adding alginate in the foods decreases the transit time in the colon and this situation helps human body to prevent from colon cancer [86, 87]. Moreover, as a result of having the ability to reduce the feeling of hunger, this polymer can be consumed to cure obesity [17, 86]. Moreover, it induces gastrointestinal disorders and the risk of coronary heart diseases [15, 87, 88]. Alginate is used in food products in the range of 0.5–1.5% [87]. For example, Na-alginate can be used without any unhealthful side effects at the highest dose of 15.5 mg Na-alginate/kg (day)−1 [15]. Zn concentration should be carefully considered when Zn-alginate combination is used in food products. Because a high concentration of Zn2+ has negative effects on human body like nausea, diarrhea, and other diseases in the digestive system. So, its concentration must be in a suitable range. Zn-alginate can be added to purple corn to prevent the color in the drinks. Ca-alginate can be applied in yogurt, jams, and salads to control their smooth taste, in ice-cream to balance the crystal statement, and in noodles to increase the cohesion [78]. Propylene glycol-alginate can be included in salads and sauces [83]. Al3+ exhibit higher stable Al-alginate mixture than Ca2+ and Ba2+, thanks to its three-dimensional binding model. But it is possibly toxic and is not safe for using in food products. Unfortunately, Al-alginate uses in food industry are limited as packaging material of conserve meals [78].
The food package is used for covering the product for protection, preservation, containment, and conservation purposes. After the food product is produced, physical/mechanical damages, physicochemical, and biological changes can occur. As a result, the quality and safety of the food may be decreased. In order to avoid this, synthetic compounds have begun to be used as a packaging material. Thereafter, it has been noticed that synthetic package materials are liable for a huge amount of waste that is detrimental to marine and wildlife. Therefore, researchers have been focused on finding new natural compounds that can be a promising candidate as a food packaging material [76]. After many experiments, they have been established that alginate has the ability to decrease lipid oxidation, microbial contaminations, nutrition lost, and wizening. Thus, this polymer improves the foods shelf life and keeps them fresh [76, 78, 89]. Nowadays, alginate is used for packaging in a wide range of food products like potato strips, pineapple, sweet cherry, peach, melon, pork, and beef balls, roast beef, chicken meat, chicken nugget, chicken ball, hams, salmon, bream, perch, mozzarella cheese, coffee, powdered milk, resoluble tea, fresh cut foods like apple, carrot, and mango [15, 76].
Nowadays, 3D food printing is an efficient technology to produce high valuable food products. While printing the food, encapsulation of significant compounds (antioxidants, vitamins, probiotics, etc.) with alginate increases the strength of foods against the negative effects of light, heat, and oxygen at preparation and storage stages. The most important problem in this regard is the tendency of food products to deteriorate geometrically. At this point, the alginate improves the water dispersion and thus provides more stable products with good mechanical and thermal behavior [74].
Alginate can be utilized as a good thickening agent, thanks to its adhesion and cohesion features. Pure alginate shows a high viscosity ten times more when compared to commercial thickeners. Also, it has the ability to enhance food properties like its texture, organoleptic situation, and consumer acceptance. For example, it can improve yogurt’s shape, creamy texture, adhesion feature and restrain the viscosity at the sterilization step. Also, this polymer can be added to the jelly to decrease the difficulty involved in swallowing [78].
In food applications, there are many molecular surfactants that are used as a stabilizer; they have negative effects on human health and environment. As a result of this, researchers have been focused to find new solid particles that can be used instead of molecular surfactants. Solid particles are divided into two groups as inorganic and naturally derived. Unfortunately, inorganic particles have a limited area of usage [77]. Because of that, a rapid increase in the tendency to use surfactant derived from natural sources was observed [77, 90]. In this case, alginate can be added to the beer for stabilizing the foam as a stabilizing agent [78, 83]. Additionally, alginate can be mixed with oil droplets for the preparation of emulsion gels, which are used in mayonnaise and similar foods [78].
Alginate has the ability to combine with two different cations to form a gel. Alginate contained products have significant elasticity that is controllable by changing the ratios of ions and alginate concentrations [78, 91]. Besides having this unique property, algal alginate may include some impurities like heavy metals, polyphenols, proteins and endotoxins because it is a natural compound [17, 79]. In the food industry, low levels these impurities can be acceptable, but in the cosmetic industry, they have to be removed [79].
A cosmetic product can be defined as any natural or prepared material that in contact with teeth and mucous membranes of the mouth cavity and external parts of human body (epidermis, hair, nails, lips, and external genitals). These products can be in different forms as cream, lotion and spray. Nowadays, many people use cosmetic products and their ingredients, some for therapeutic purposes and others to enhance their beauty [92]. However, it should be noted that the purpose of using a cosmetic product cannot be to cure any parts of the human body. This kind of products are generally used after different dermatological issues like acne, eczema, and so on [93]. Recently, a new word called “cosmeceutical” has been used to indicate specific cosmetic products, which include active ingredients. These products are not considered drugs or cosmetics, but they show medical or drug-like benefits. The cosmetic/cosmeceutical consumers desire the products that are safe, effective, protective, elastic, and natural with good quality [91, 92].
Recently, cosmetic consumers have begun to pay attention not only to the effects of the product as a whole, but also to the content of the products [94]. With the increase in acquiring knowledge about the ingredients, awareness about the unhealthful side effects of synthetic cosmetic ingredients (irritation, allergic reactions, etc.) is created among the consumers more than before [91, 93, 94]. Additionally, Cosmetics Europe – the community for the cosmetics and personal care industry – has forbidden the use of synthetic solid plastic particles, which cannot be biodegradable by marine organisms for saving aquatic ecosystem in any types of cosmetic products [95]. This situation has contributed to conduct more research on finding new, natural, eco-friendly and biodegradable polymer sources to produce natural ingredients [91, 95]. At this point, algal alginate has drawn attention, thanks to its biological activities as an anticoagulant, antiviral, anticancer, antimicrobial, moisture retention, anti-irritating, antioxidant, anti-inflammatory, and antibacterial matter [17, 78, 90, 91]. As a result of having these aforementioned properties, alginate can be used as an abrasive agent, antioxidant, and thickening and stabilizing agents in the cosmetic industry [17, 90]. From this point of view, algal alginate is a promising candidate as a cosmetic ingredient.
The skin is the biggest organ of the human body and covers all the other organs [74, 91, 96]. It has three layers: epidermis, dermis, and hypodermis. The epidermis is composed of five stratums: basal, spinous, granular, lucid, and corneum. This layer contains melanocytes, langerhans, keratinocytes, granules, and dead keratinocytes [91, 93]. Melanocytes include melanin that determines the skin color and both of the melanocyte, and keratinocyte cells heal the skin damages. The stratum corneum acts like a water diffusion barrier. Thus, it protects the skin from dehydration and irritation and allows the human to live in air [91]. The health situation of the cells on the epidermis layer changes according to the weather conditions and nourishment schedules. Dead cells remain on the skin nearly for two weeks. After that, they through desquamation and recuperation stages and these stages take one month. Peeling products have the ability to remove dead cells and improve skin health without causing any negative effects on the skin. In this way, these products can help to make these processes faster [93]. Researchers have found that the optimum diameter of microparticles which is used in the peeling product formulation is 750 μm. Alginate microparticles are a good candidate as abrasive agents, thanks to their regular and spherical shape. The addition of starch to these microparticles increases the surface unevenness and inequality. This starch-alginate microparticles combination shows the effect on the skin as synthetic balls do. They have a unique potential for replacement with synthetic ones, as they are natural, biodegradable and environmentally friendly compounds [95].
Naturally the skin has the ability to synthesize antioxidant agents to protect itself from reactive oxygen species (ROS). Also, it has been known that the skin increases ROS production when exposed to UV radiation. Under these circumstances, oxidative stress causes the existence of wrinkles, dehydration, inflammation, melanoma, and skin cancer. For preventing skin aging and other aforementioned cutaneous disorders, the skin has to be supplied by antioxidants via cosmetic products [91, 93]. At this point, algal alginate is a promising candidate as a cosmetic ingredient with significant antioxidant activity [80, 91]. This activity related to its molecular weight, sulfate content and anionic groups [97]. Thus, it can be used as anti-aging, anti-wrinkle, and smoothing agents [93, 98]. Additionally, it has the ability to absorb several 100 times more water than its own weight to support the cell and regulate the water distribution in the skin, and thus protect cells from caving in [15, 91, 98]. Considering these properties, it has been inserted in a wide range of products such as hand lotions, ointments, fat-free creams, facial masks, and dental materials to improve nutrients diffusion and absorption [78, 80, 99].
Alginate can be used as thickening agent in shampoos, lotions, or other cosmetic products, which include huge amount of water for instability inhibition purpose [98]. Also, this polymer has ability to stabilize the viscosity to offer good liquidity in cosmetics [79]. This is the major reason of using it in cosmetic formulations [91]. Also, it helps to maintain the organoleptic features (taste, sight, smell, and touch) of cosmetics, thanks to its favorable activities [80, 91].
Although the biocompatibility of alginate has a debate, it is still one of the mostly studied polymeric biomaterials in pharmaceutical and biomedical applications for tissue engineering and regenerative medicine (TERM) purposes [100]. Alginate can be fabricated in various shapes and forms (Figure 4) for an extensively wide application (Figure 5). Alginate provides a biocompatible, cost-effective, low toxicity, and also easy gelation. Currently due to high viscosity and rheological properties with respect to increasing concentration, alginate is utilized as stabilizer and thickeners in pharmaceutical formulations. However, due to increased utilization of hydrogels in TERM, alginate-based formulations are extensively investigated as controlled drug-release platforms and tissue-engineering constructs [104, 105, 106].
Alginate in shape (a) fabrication forms of alginate for various application [
Application areas of alginate in pharmaceutical and biomedical purposes [
Kinetic release of pharmaceutical compounds such as drug molecules, proteins, peptides, and nucleic acids is a novel advanced therapeutic approach [107]. Although alginate is a polar biopolymer, amphiphilic design of the alginate, or blending with other polymers can alter the hydrophilicity, thereby enabling the release of hypophobic/amphibic molecules [73, 103]. Alginate also creates a mild environment for proteins and other molecules, which can be affected by heat or alkali conditions resulting due to denaturation. Also, enzymes can be encapsulated with algae to have a controlled biocatalytic conversion. Alginate is usually ionically cross-linked with bivalent cations which is a low-cost and rapid method of gelation. However, when alginate is in an aqueous environment, bivalent cations are released into the environment, which makes a faster release of entrapped drug molecules based on their hydrophilicity, size, and interaction with alginate. In order to increase the control over the alginate, chemical modifications are done to chemically functionalize alginate for thermo-responsive, pH-responsive, or light-responsive matrices [108].
Wound healing is a complex phenomenon starting from inflammation, cell migration to the wound site, and eventually remodeling of the wound healing area [109]. Recently hydrogel-based wound dressings are gaining attention, and alginate is one of the most studied and also commercially available wound dressing patches [103, 107]. Due to high water content and immobilization of bioactive molecules inside the patches to create antibacterial, anti-inflammatory and growth factors to promote cell growth and healing alginate are considered a gold standard in these types of applications.
3D cell culture is gaining interest because 2D cell culture does not correspond to the signals of cells in their nature. 3D environment creates a biomimetic environment to understand cell behavior, drug response, and 3D tissue culture [64, 102, 110]. Alginate creates a good environment resembling the extracellular matrix (ECM) structure where cells can proliferate and differentiate. Also, alginate can be covalently linked to cellular attachment sequences (mostly utilized RGD) to increase cell-cell interactions and cell-surface interactions [101, 111]. Encapsulation of growth factors in these 3D gels can increase the cell differentiation [104], neotissue formation, and blood vessel development [102, 112].
Alginate can also be a base hydrogel for 3D biofabrication purposes [111, 113]. Due to the availability of advanced imaging methods, these constructs can be customized as a personalized medicine tool [114]. However, due to the low mechanical properties of alginate, the bioprinting is usually done with blends with other hydrogels such as collagen [112], gelatin [111], chitosan [115] or self-assembling peptide hydrogels [104, 106].
Although alginate is a biocompatible and a plant-based biomaterial, the biodegradation of alginate can be troublesome. Alginate does not degrade in the body; however, due to the release of ions form the network, it decomposes into small pieces. Thus, chemical modification such as oxidation of alginate chains may help to achieve a proper biodegradation for clinical applications [116]. Moreover, low mechanical properties and stiffness may hinder the utilization of alginate, especially for hard tissue engineering. Chemical modification may elevate the material properties. However, it may add toxicity to the compound too. Nevertheless, as in vitro drug testing [117] and 3D cell culture platforms [111], even for topical applications [103], alginate is a safe natural biomaterial. It is also highly promising for tissue engineering applications, especially as injectable formulations [104].
Nanotechnology aims to have structures that have a size in a nanometer scale (less than 100 nm) to be produced and applied to provide purposeful design. Nanomaterials, which are a product of nanotechnology, have exceptional surface activity and other physical properties that occur due to their shapes at nanoscale sizes. In the last decade, nanotechnology has gained popularity and it has been used in different fields such as medicine, pharmaceuticals, cosmetics, food, and clothing industries. Production of synthetic nanomaterials is expensive and not an environmentally friendly process, even though they have many applications and benefits today. It is not safe to use them in medicinal applications due to their risks and side effects and the difficulty to form gels in situ. Hence, green routes to synthesize nanomaterials, which is called green nanotechnology has gained attention. The aim of green nanotechnology is to reduce the risks and to solve environmental problems related to nanotechnology [118, 119].
Natural polymers such as alginate, chitosan, agarose, collagen, cellulose, and so on have been used as nanoparticles (NPs) due to the concerns about synthetic ones [118]. Characteristics of these NPs such as small surface area to volume ratio, structural surfaces, agglomeration, and enhanced reactivity make them to be applied in various areas such as cancer therapy, drug targeting, nano-pharmacology, nanomedicine, and agrochemical delivery [120]. In recent times, the most widely used polymer is alginate, since it is considered safe especially for human applications. Alginate is considered to be safe owing to the fact that it has been studied extensively, even though other biomaterials can be good alternatives in the future, However, alginate has properties that offer advantages to the system and make it a perfect fit for biotechnology and drug delivery systems via cell microencapsulation [118]. Temperature and pH changes, signaling molecules, and enzymes stimulate a drastic chemical and physical change in alginate, which results in making them a potential candidate for drug delivery vehicles [121]. Biocompatible and nontoxic polyionic complex NPs are formed through ionic gelation of alginate and chitosan. These polyionic complexes are used in drug delivery and wound healing purposes because they are non-toxic and biocompatible as well as have effective protection of biomolecules [122]. Natural nano carrier systems can be easily integrated with antiviral, antifungal, antituberculosis drugs, and so on. For antituberculosis drugs, lipid-based formulations and polymer-based formulations are used. Lipid-based formulations have drawbacks with successful targeting, since it is dependent on the parenteral/inhalable route, whereas alginate is already FDA approved for human use and it is successful with the oral treatment of reflux esophagitis as well as being a popular pharmaceutical excipient. Hence, alginate-based carriers have gained popularity in drug targeting. The recent studies prove that if alginate NPs are used, the outcome could be further improved in the sense of encapsulation of drug, pharmacokinetics, bioavailability, and therapeutic efficacy [123]. Alginate NPs can also be used as a carrier for adjuvants and vaccine immunogenicity is increased, since alginate nanocarriers can prolong the release. Agglomeration has not occurred in major organs through the use of alginate NPs. Mucoadhesive properties enhance the permeability of alginate NPs and therefore it is being used in nasal and oral administrations; degradation is reduced in acidic environment [124].
NPs of alginate can be used in agriculture as a nanopesticide, nanoinsecticide, nanoherbicide, nanofertilizer, growth stimulants, pesticide carriers, antimicrobial agents, and nanoformulations [125]. Targeting and systemic delivery of herbicides can be provided by using nanocapsules with alginate/chitosan NPs [126]. Chitosan and alginate as carriers of herbicide and insecticide do not only improve the release of the herbicide but also improves its interaction with the soil [126, 127]. Chitosan/alginate NPs can also be used as nano carriers for pesticides, herbicides, and fungicides. Slow release of the molecule can be provided and NPs can protect them from UV radiation and it offers a better antifungal activity [120].
Coagulation is a process used in water treatment, in which aids are used to change the surface structure of suspended materials to form aggregates and to remove them by destabilization. In this process, inorganic metals and polymers are generally used as coagulation aids [128, 129, 130]. The large amount of chemicals, significant pH changes, and the high amount of sludge produced are among the significant disadvantages of the coagulation process with metal salts [128, 129]. In addition, some negative effects of synthetic polymer on human health have increased the tendency to use natural polymeric materials as a coagulation agents. Natural polymeric materials such as polysaccharides are low cost, easy to obtain, have low molecular weight and high shear stability. For these reasons, they have been suggested to be more advantageous materials. They also have advantages such as being safe for human health, biodegradable, and having a wider effective flocculation dose range for various colloidal suspensions [129, 131]. High volume wastewater is one of the most important problems for many industrial sectors. Especially, textile industries produce large volumes of wastewater with varying physicochemical properties. This diversity in physicochemical properties is due to the enormous continuous effort to identify suitable technologies for the treatment of textile industry wastewater and the many components involved in this process [130, 132]. The different types of wastewater treatment performed for industrial wastewater include coagulation/flocculation, oxidation, membrane separation, ion exchange, photochemical, adsorption, biological treatment method, and so on [130, 133]. Among the various methods, one of the effective methods for removing substances from wastewater is coagulation using algal alginate [130].
Alginate naturally derived from algae offers significant potential for wastewater treatment as a coagulant. Calcium and sodium ions can be used as coagulation aids in processes where alginate is used as a coagulant. Especially when calcium ions interact with metal cations in the alginate structure, the gel structure forms and tends to precipitate the pollution factors in the wastewater. Thanks to having the ability of formation insoluble molecules, it becomes an important option as a coagulant in wastewater treatment [130, 134, 135, 136].
Laboratory-scale studies on the use of the obtained algal alginate in wastewater treatment processes have been carried out. In these studies, the process continues with measuring the coagulation efficiency depending on the determined parameters after the extraction stage. In the study conducted by Vijayaraghayan and Shanthakumar [130],
Algae are considered a major source of alginate. Since their alginate content and properties are varying, first, the amount to be used should be decided. According to this decision, algae species and the time for growing and harvesting of them must be taken into attention. After that, depending on the area of use, the extraction method should be determined in order to obtain the highest yield of alginate from algal biomass. Now, it is ready to be utilized in different types of sectors. For example, immobilized microalgae networks are open to novel applications. Environmental monitoring and algae-based biosensors comprise one of the promising topics for future developments. Rather than classical bead or thin-film fabrication methods, novel biofabrication techniques can be adapted for algae immobilization, which can help to design customized geometries. Also, as a result of the ability to combine with two different cations to form gel, alginate-contained products show significant elasticity. Unfortunately, algal alginate may contain some impurities like heavy metals, polyphenols, proteins, and endotoxins. In the food industry, low levels of them can be acceptable. But before they are used in cosmetic and pharmaceutic industries, they have to be removed using some purification methods. Alginate NPs have properties such as being biocompatible, nontoxic, and biodegradable. They are safe and preparation of the alginate NPs is easy and so this makes them a potential carrier for drug delivery systems. They can be applied to various drug-delivery systems. Alginate NPs are FDA approved as a food additive and has great mucoadhesive properties, which can make them a potential candidate for drug delivery through the oral route. In agriculture, chitosan/alginate NPs are used mostly for targeted and systemic delivery of agrochemicals, and it has a great potential for prolonged availability and low load of the molecules. Agricultural technology and increase of the fertilizers and pesticides unfortunately made a negative contribution to environment. However, NPs, especially “green NPs,” made agriculture more sustainable by using lower doses and slower release of the molecules. Increased awareness of the environmental problems comes with an unavoidable sustainability in all fields, and green NPs are good for environment because their application in agriculture is safe, and also their productions are considered sustainable. However, there are certain limitations to the industrial application of alginate. The most important of these limitations is the exponentially increasing cost with growing scale. For example, coagulants currently used for wastewater treatment are relatively cheaper than algal alginate. However, traditional coagulation processes may require extra costly processes such as pH adjustment or alkalinity addition. Today, in studies about algal alginate, it is possible to increase the efficiency of the system and reduce the cost of coagulation with alginate by using their better and more suitable quality versions.
The state-of-the-art management literature focuses on the qualitative characteristics of management, bringing empirical evidence-based models for improving organization performance. However, the management models that appear in the literature do not consider the individual complexity of organizations, thus limiting the reproducibility of good results. The organization digital twin (ODT) used in the article demonstrates the potential of RL-AI to analyze and quantify complex phenomena related to organizational behavior. In this article we study model-driven reinforcement learning AI as a new method in improving organization performance at complex environment.
There are two main categories of artificial intelligence (AI): data-driven and model-driven. Data-driven AI uses data in finding correlations and forecasting the future. In model-driven AI there is model that simulates the environment. Reinforcement learning (RL) focus is in learning and finding behavior which gives best value and reward. When RL is utilized at model-driven AI the model simulates the behavior’s effect in the value. The agent tries to learn the best behavior by following the model’s reward signals. Thus, the behavior of the agent determines the result, not the data of the past.
Game Theory is a branch of mathematics that are used to model the strategic interaction between different players on a context of predefined environment. At management game theory there is predefined organization environment where the players are leaders and team members as workers or employees. Each player has incentives that drives their behavior in the game. Management game is non-symmetric because leader has specific and non-changeable characteristic compared to workers. Workers are motivated in maintaining and improving their work performance and personal self-esteem. Team leaders are motivated in maintaining and improving team performance, which is related to team leader personal profit incentives. Team leader knows that team performance is essential for achieving team profit targets. Workers know that their personal incentives will improve if their work performance is good. Thus, if there are problems at work the rational policy would be to tell the problems to supervisor so that problems can be solved. In addition, solving problems may improve workers self-esteem, having hidden psychological incentive. This organization environment form state space for strategic-Bayesian-stochastic-nonsymmetric-signaling game.
Nash equilibrium is a concept of game theory where optimal outcome is the balance where all players incentives are considered and fulfilled in optimal way. If team leader gives positive feedback for raising the possible problems, it will have positive effect on workers’ self-esteem, fostering workers policy to inform the problems by signals. Solving the problems will improve group performance which foster leader’s policy to encourage workers signaling game. This way workers and supervisor may find equilibrium of policies (strategies) which lead to general-sum game where optimal and sustainable team profit performance is achieved. However, this article explains why this optimal equilibrium is difficult to achieve in reality. Bersin [1] study reveal that 89% of managers think that leadership is important issue, but current leadership programs bring only minor value in improving leadership quality. This article argues that modern reinforcement learning artificial intelligence gives one solution in solving leadership challenge.
In addition to administrative role, the HR management has important function on adding competitive business value to an organization management (for example see references [2, 3, 4, 5, 6]). Managers need predictive measurements that indicate how business is developing and how to improve it. Human assets are essential for creating competitive advantages, thus interest in performance management has increased. Fleetwood and Hesketh [7] argue that researchers should better understand the complexity of the organization environment and seek to open a “black box” of causal relationships between human resources and organizational performance rather than offering simplified solutions.
Several studies indicate that employee psychological well-being has tendency to predict business value of an organization (for example see references [2, 8]). However, management can be confused of how to improve well-being and how much effort should be invested in well-being development at different situations to gain sufficient payback. Research reveals that organizations expect artificial Intelligence to help reducing managerial biases related to human issues and to improve productivity and employee experience [9]. Beside the hopes, researchers are also concerned that artificial intelligence may cause serious harm if the organization context is oversimplified by using data driven machine learning algorithms [10]. This article argues that AI can help solving difficult management problems related to human biases. One of the most promising new technology is Digital Twin that uses simulation model driven AI. “To build an efficacious Digital Twin, it’s important to first agree what problem needs to be solved or what opportunity needs to be explored and how accurate do the predictions need to be” [11].
Human competencies, for example leadership and working skills, have certain causalities to long term productivity. It seems that human competence has three performance-driving characteristics that can be described according to motivation theory as feelings of safety, team culture, and passion for work. It is clear that a passion for work affects a person’s performance in a very different way than for example occupational safety issues. In addition, human is a psychophysical entity tied to his own situation. Therefore, the combination of all motivational drivers determines performance [12].
First, we have to study human capital productivity, which includes working time and the utilization of intangible human assets. Human intangible assets refer to performance on how effectively is the working time utilized, and how much value a person produces at each working hour. An employee may work for eight hours a day, but out of that working time, how much is actually used effectively in creating value? This basic understanding of how each employee produces value needs to be recognized before any reliable simulation analytics can be made.
At this article the organization digital twin (ODT) refers to the mathematical environment that simulate organization human capital productivity. To be able to simulate the reality the digital twin must meet following requirements:
Markov property: The future is independent of the past given the current situation.
The environment state can be verified from measuring the reality.
Markov property means that the future is not determined by the past data, thus supervised learning regression analytics cannot be solely applied in creating ODT. Markov rule is one backbone for creating ODT digital twin and for utilizing Reinforcement Learning where the behavior of the agents determines the future.
The state transition from state to state follows Markov chain where all necessary information is transferred from past to the present. Therefore, the probability of transition from the current state to the next state depends only on the current data and the activity of the players. In the digital twin, this current data must be able to determine the reality presented by the twin. The data in the twin can be measured and verified from reality, thus creating a feedback loop from the real world. This model verification against reality is also necessary for learning purposes so that ODT can learn to refine the transition functions to match the real world (Figure 1).
Concept of organization digital twin.
New science provided theoretical framework for creating ODT for modeling organization human capital productivity. First, there should understand how employees produce economic value. The theory of Quality of Working Life (QWL) determines the effective working time-share from the time spend at work. According the human capital production function the staff effective working time multiplied by K-coefficient produces customer value that is measured by revenue. The coefficient K describes the business branch, tangible investments and business logic. QWL improvement requires HR-development that increase auxiliary working time, thus reducing time for work [12] (Figure 2).
Illustration of profit team human capital production function.
The human capital production function can be written in function where revenue is the production volume according the Equation [13]:
and
Where
R = Revenue [$].
K = Coefficient for effective working time revenue relation, HR business ratio [$/h].
L = Labor capacity in full-time equivalent [pcs].
TWh = Theoretical yearly working time [h].
QWL = quality of working life, indicating human capital intangible asset utilization (0–100%).
Ax = The auxiliary working time of the total theoretical working time (vacation, absence, family leave, orientation, training, HR practices, and HRD) [%].
(1 – Ax) = (100% – Ax) = Time available for actual work (time spent at work)
(1 – Ax) * QWL = Effective working time from the theoretical working time.
It should be noted that other working time includes so-called internal error factors such as waiting, searching, correcting and unnecessary work. These are symptoms of different kinds of development needs that the team has noticed either hidden or conceptual.
When manager does efficient team development there can be increase in effective working time. In addition, if absence and staff turnover is high the development may reduce those, thus increase time for work. This way effective team development will increase effective working time, and have good effect on profit. However, at short notice the development will increase auxiliary working time and reduce time for work, thus will reduce both revenue and profit. The development of human capital involves the phenomenon of investment, which requires some sacrifice in order to gain delayed rewards. When investment phenomenon is involved in the agents’ actions there is possible to utilize Q-learning function.
Q-learning is a mathematical method for analyzing behavioral learning points in a simulation model that considers short- and long-term rewards. Nash equilibrium is the result where Q-learning settles to a certain level where the model environment is stable and no player can improve his pay-off [14]. In this case, equilibrium is achieved with a behavior in which both QWL and profit mature to a certain level. Both QWL and profit are management game agents’ rewards, which in short-term may be contradictory because improving QWL reduces profit in short-term. This article shows that there are several states of equilibrium in a leadership game.
In most traditional well-being and commitment surveys, scores are averages of factors that are not individually relevant to the whole. Thus, the result is for example engagement index that does not necessarily tell what and how to improve and what impact the improvement would likely have. Traditional well-being surveys with average scores are oversimplified when measuring human performance. For ODT perspective, it is essential that the staff performance is determined realistically. It affects to the rewards and transition functions of agents’ behaviors. Therefore, it is essential to describe the theory of QWL.
It seems evident that human performance is rather complex phenomenon, consisting several motivation theoretical aspects that cannot be included at simplified statistical staff survey analytics. Therefore, we have utilized motivation theories of Alderfer [15], Antonovsky [16], Kano [17] and Herzberg [18] in creating advanced human performance theory that meets the contribution of main scientists and forms practical QWL index for performance analytics. QWL index includes three self-esteem categories, which each has unique effect on performance.
The self-esteem categories:
Physical and emotional safety (PE);
Collaboration and identity (CI); and
Objectives and creativity (OC).
Chosen categories and their effect on performance form the theory of QWL index. It is also important to know that in addition that QWL index is production parameter, it has also logical connection to customer satisfaction (see [17]) (Figure 3).
The theory of QWL.
Finally, the QWL index is the combination of all three self-esteem factors according the following equation:
where
QWL is calculated using the quality of working life index (0 … 1).
PE(x1) is the value of the function of physical and emotional safety.
CI(x2) is the value of the function of collaboration and identity.
OC(x3) is the value of the function of objectives and creativity.
The functions of the self-esteem categories are adjusted so that the final QWL result is always between 0 and 100% [12].
Bayesian theorem with stochastic game is utilized in defining management-game for ODT. Using game theory, we can model the strategic interaction between different players (agents) in a predefined environment. Our management-game is multi-agent game for the profit unit where the agents are workers and manager. The concept is non-symmetric because manager (team leader) and workers have different roles and their reward characteristics differ. Workers are motivated to maintain and improve their self-esteem (QWL). In addition, there might be some hidden motivation drivers. Team leader motivation drivers are unit profit and possible personal incentives, which may be hidden (e.g. biases). In our game the focus is profit-unit manager’s behavior and learning.
At Nash equilibrium the optimal outcome of the game is one where no agent wants to deviate from the chosen policy because that seems to be parallel with opponents’ policy. Workplace problems have reducing tendencies on workers’ self-esteem, thus decreasing QWL as a production parameter. Management practices have tendencies to improve QWL, but each action will reduce short-term profit. Manager’s strategy hypothesis guides the actions at different state events. When the consequence data of action tendencies update the status after each Markov-sequence, the player can update the management strategy, which further controls the next actions. Bayesian probability is related to player subjective behavior, relying on the phenomenon that rational thinking will probably lead to optimal result as the new information comes available [19].
The manager should learn the optimal leadership strategy without knowing the exact reward function or state transition function. This approach is called stochastic model-free reinforcement learning and can be defined with the Nash Q-learning approach. The leader has prior-believe about the state of nature of profit-unit business situation and expected future reward. The uniqueness of the game comes from the fact that it has predictive features that allow for the use of reinforcing learning artificial intelligence for learning Nash equilibrium between staff QWL and organization profit.
Management game is signaling game since workers give essential signals about possible workplace problems that may threaten their self-esteem (QWL) and therefore team performance. Workers preference strategy is to give their leader signals about the problems. In simplified digital team leaders’ learning-game the worker’s strategy may be stationary, meaning that workers behavior may be chosen in advance when the events scenario is known.
Team leader, as an agent of the management game, is responsible for team profit performance that is the outcome of producing customer value measured by revenue. Agent registers workers’ signals and makes own prior belief for the strategy. Agent monitors also scorecards from business outcomes of monthly and cumulative profit, and forms a prior believe policy on how to act to these measures. Agent is rewarded by the profit at each month and cumulative profit at the end of the year. After each state transition the agent will get profit signals and QWL signals from the worker’s response from the state change at workers QWL. State-change signals and reward results may cause changes at the preference strategy of the agent for the next sequence (Markov sequence [19]) (Figure 4).
Leader’s prior believe is biased and this strategy leads to delayed punishment.
Leader reward function is (γL) the combination of monthly profit change, and expected affect to future profit. πLi is the leader’s strategy at current state (month). It seems that at the beginning, the leader strategy is weighted at the monthly profit and the expected future reward is based on simple linear regression of data achieved so far. This means biased prior believe where the expected reward is not nearly the same as the outcome of the strategy. Thus, the value function under biased strategy is the following:
where
γt€ is the observed state reward.
γ12€ is the expected future reward.
When the leader gets more experience and learns to understand the complexity of the system as well as the meaning of workers’ QWL, the prior believe value function changes. QWL change starts to be more interesting, because leader learn to expect more future profit when QWL improves. Thus, along this information the leader adjusts the strategy for optimizing cumulative yearly profit. Here the leadership game stochastic nature is key to learning the Nash general sum equilibrium between the QWL and profit.
where
γt€ is the observed state reward.
γ12€ is the expected future reward by improving the QWL.
αt is the learning rate.
QWL is improved by leadership actions that reduce the monthly working time for making the revenue. Thus, improving QWL reduces monthly revenue and profit, but may increase effective working time in the future and so increase the future profit. In monthly basis, this phenomenon may be contradictory and confusing, but by practice, the best reward is achieved where both workers’ and leader’s payoff functions flourish. This means the Nash equilibrium where yearly QWL is improved with high profit. In Nash equilibrium, leader’s choices are the best response to the workers’ signals and business cumulative outcome at the end of the year.
Bayesian stochastic strategic non-symmetric signaling learning game follows Markov decision process [20, 21, 22]. Management-game forms stochastic game tuple
where
N is set of players, i.
S is set of states, s.
C is set of competences at actions a.
A is set of actions, a.
T is set of signals, τ.
P is transition probability function; P: S x A x C thus P(s, c, a), ρ:SxA|C → Δ is the transition function, where Δ is the set of probability distributions over state space S.
R is reward function, R = r1,…rn, γ:SxA|C → R.
There is incomplete but perfect information. The agents (workers and leader) do not know other agents’ payoff functions in detail, but they can observe other agents’ immediate payoffs and actions from past months. A leader does not know exactly which actions would be the best but can choose actions that should be good enough. The leader will get workers emotional feedback immediately and information from profit monthly change and cumulative reward. After several game rounds, the player (leader) will learn the optimal actions to improve both the QWL and annual profit. Thus, the player will achieve the Nash equilibrium of stochastic Markov learning game.
Management-game has context specific Markov-sequences. State and state change transition follows the Markov property where the future is independent of the past given the current situation. Once a state is defined, its change is determined by the behavior of the parties. State change is sequential, following the players actions and state transition probability function. Sequences are:First Month (January)
Workers interpret the state situation and give signals based on prior believe (τ).
Leader observes the signals and updates the signal-strategy (πτ).
Leader updates standard-strategy (πst). Note: at this first month there is no data to update this year profit strategy.
Leader makes actions (or decide doing nothing) (a)
Actions leads to state change with possible outside intervention (stochastic)
Leader observes immediate (γ€1) and cumulative (γΣ€) profit rewards (or sacrifices). From now on, the leader gets also profit outcome, thus updates also profit strategy.
According the combination of rewards, the leader upgrades prior believes concerning own behavior
Leader upgrades profit-strategy and standard-strategy for choosing actions t + 1
Workers give signals to be considered when deciding actions t + 1
Leader updates signal-strategy for choosing actions t + 1
11–13. Leader makes actions t + 1 in line with all three strategies.
14. State transition to state t + 1
15… From now on, the supervisor should update all three strategies simultaneously as learning sequences progress (Figures 5 and 6).
Management-game Markov sequences.
Management game learning phenomenon for finding equilibrium.
Leadership game Q-learning function is (7)
where
β is [0,1] is discounted reward factor
αt is [0,1] is the learning rate (1-αt)
γ∆i is the monthly profit reward
γ∆12 is the expected cumulative profit reward (floating 12 months)
With expected equilibrium strategy pay (
There are three different strategic areas of prior-believes that forms the manager’s learning context. These strategies are influenced by the supervisor’s interaction skills (competences), which tend to either promote or hinder learning in the area. Every manager has personal competences, which seems to form personal Nash equilibrium and corresponding Q-learning results. According to this article, it seems that Nash equilibrium is different for each combination of manager’s competences. In addition, the leader’s strategic mind-set defines the equilibrium. Indeed, management equilibrium seems to be evolving phenomenon, depending on organization and its’ players change of characteristics (Figure 7).
Management learning strategies.
The focus of the signal-strategy (
Profit-strategy (
The focus of the standard-strategy (
All of these supervisor strategies are built on the supervisor’s personal and ever-evolving managerial skills. In this management game theoretical approach there are personal leadership action competencies that determine the effect of each action. There is interaction between management competencies and learning strategies. The supervisor reflects the effectiveness of his or her own leadership behavior and changes personal management strategies accordingly.
Digital twin advisor uses Bellman [20] expectation function in finding optimal actions for achieving Nash equilibrium. Bellman expectation function for strategy π is
where
Optimal policy forms from the actions that result in optimal value function, thus
where
In our digital twin AI assistant is using Bellman function. It returns the combination of actions that gives the best value after floating 12 months. This is achieved so that first each action value is analyzed and sorted in magnitude of the value. Then the combinations of best actions are evaluated until marginal productivity of the value is achieved, see example at Figure 8. One simulation episode is 12 months; thus, the Bellman function maximize future reward even when the episode is coming to end.
Bellman function principle of marginal productivity value.
Simulation game is done using UNITY 3D, for making possible to play the learning game episodes. Each episode is 12 months, consisting several workplace challenges. In the test runs we used Cash Cow episode where problems are easy, the market situation is steady, and the company does not seek special increase in revenue. State space problems are signaled by the workers that comes meeting the team-leader (agent). In this ODT there is so far 25 workplace challenges which reduce QWL according situational probability matrix. Leader has 32 best management practices (action space) that may be used as the leader prefers. Each action reduce profit and may improve QWL according state space situation specific probability function [23] (Figure 9).
Simulation game user-interface.
We tested simulation using three different competence values; 30%, 60% and 90%. Table 1 contains the results of three simulation rounds as follows:
BIAS = human simulation episode (round) with bias to maximize short term profit. Only problem-solving actions are made. In BIAS episode the focus is on maximizing short-term profit.
Learning = human simulation episode where leader has learned to maximize best result in QWL and profit. Agent execute best learning strategy (see Figure 7) with long-term profit mind-set, problems solving as good as possible and following yearly management-plan of actions.
Bellman = artificial intelligence episode where all actions are chosen according Bellman function (see Figure 8).
Q-learning | QWL start | QWL end | QWL difference | Cumulative | Profit difference | Equilibrium in 1 y. | ||
---|---|---|---|---|---|---|---|---|
Budj. € | EBITDA | |||||||
Competence 30%, BIAS | 3 310 | 60,2% | 57,9% | -2,3% | 254 923 | 244 921 | −10 002 | — |
Competence 30%. Learning | 5 370 | 60,2% | 64,6% | 4,4% | 254 923 | 243 650 | −11 273 | yes |
Competence 30%, Bellman | 21412 | 60,2% | 67,5% | 7,3% | 254 923 | 257 070 | 2 147 | yes |
Competence 60%, BIAS | 5 854 | 60,2% | 59,0% | −1,2 | 254 923 | 263 284 | 8 361 | yes |
Competence 60%, Learning | 20 425 | 60,2% | 68,3% | 8,1% | 254 923 | 287 083 | 32 160 | yes |
Competence 60%, Bellman | 35 931 | 60,2% | 70,4% | 10,2% | 254 923 | 293 442 | 38 519 | no |
Competence 90%, BIAS | 7 737 | 60,2% | 59,8% | −0,4% | 254 923 | 276 828 | 21 905 | yes |
Competence 90%, learning | 31 240 | 60,2% | 69,9% | 9,7% | 254 923 | 305 604 | 50 681 | no |
Competence 90%, Bellman | 38 446 | 60,2% | 70,1% | 9,9% | 254 923 | 312 003 | 57 080 | no |
Test episode values.
It seems that with management competence levels 30% there are difficulties to achieve budgeted target result in profit. If QWL is sacrificed for short term wins, the cumulative profit result at the end of the year will be poor. It seems that in one-year simulation episode there is achieved equilibrium where Q-learning points and QWL values are not exceeding. At 30% competence levels the BIAS episode Q-learning points varies between 0 and 3000 points. It seems as if the agent has no idea of how to achieve sustainable development where both QWL and profit improves. With low competence levels only with Bellman decisions will the profit slightly exceed the target value.
Manager’s competence levels 60% are quite realistic, representing average line-managers leadership-action skills. In one-year simulation both BIAS and Learning strategies achieve Nash equilibrium, however in different profit outcome. At BIAS strategy the QWL is set at level 60%, which actually corresponds workforce medium QWL value in Finland [24]. When equilibrium is achieved, it may be difficult to change the behavior (see Figure 10).
BIAS strategy Q-learning points.
Learning strategy has also equilibrium at competence level 60%, but higher QWL and profit values than in BIAS (see Figure 11). In our practical simulation studies this type of results are usually learned when simulation episodes are practiced over ten times. Must bear in mind that management systems have tendency to press maximizing short-term profits, thus remaining in BIAS mind set. Learning to be excellent leader requires several years practice in organization system that allows investing in people. This phenomenon may explain why some leaders learn to be excellent team-leaders while majority remains at lower level.
Learning strategy Nash Q-learning equilibrium.
There is interesting phenomenon at 90% competence level BIAS strategy. Even with very high leadership skills the QWL is set at 60% where equilibrium remains. This is due to the behavior where leadership actions are implemented only when problems arise, thus there are no proactive investments in team development. In competence levels 90% it seems that one-year simulation episode is not enough time to achieve perfect equilibrium at Learning and Bellman strategies, since Q-learning points and QWL seems to continue improving throughout the episode. It would need longer time period to achieve equilibrium.
BIAS strategy seems to achieve equilibrium where QWL is no longer improved and the Q-learning points finds management cultural maximum value. The lower the competence, the lower the level of QWL, however the difference is not so big, varying from 57% to 60%. This is interesting because in Finland the workforce medium QWL is around 60% [24]. One could argue that the profit maximization bias is common and not depending on line-managers leadership competences, and therefore most employees feel the QWL is around 60%. Moreover, the reason for profit maximization bias is not necessarily a lack of leaders’ skills, but a management system that forces leaders to focus on short-term profit rather than people.
Organizational management research has typically focused on qualitative behavioral factors that have a complex relationship to organizational success, and in addition, impacts often come with a delay. Each organization is a unique system with certain same laws, but also a unique context of its own. Therefore, repeating the empirical research results has proven to be challenging, which also makes it difficult to draw generalizable conclusions [7]. This article examines the utilization of model-based artificial intelligence in management development. ODT can be used to assess the impact of management behavior on an organization’s success, considering situational data and the impact of management culture. ODT helps to explore the fundamental nature of an organization, which means a metaphysical essence in where everything affects everything.
The article uses artificial intelligence to illustrate how leadership behavior can create a so-called QWL glass roof that invisibly prevents teams from growing to the top performing category. The management system forms the behavior of supervisors in such a way that harmful biases of management thinking may occur, in which case people’s performance does not develop favorably. These harmful biases of thought are very complex as they include phenomenon of delayed effects on an organization’s competitiveness. Model-driven reinforcement learning artificial intelligence reveals a variety of human and complex mechanisms that hinder the development of competitiveness.
Reinforcement learning is following rational learning phenomenon, where learning take place gradually, according the experience. Simulation model provides learning platform where person can learn without fear of remorse. This is essential especially for managers, because in real life there is hardly room for learning from mistakes. The ODT models the situation with the organization’s own data. The simulation can be designed according to the company’s own strategy, allowing future challenges to be practiced. This allows management and supervisors to adapt in advance and prepare for future challenges. More proactive management reduces the realization of personnel and business risks and adds value to performance. For example, adapting to a recession can be practiced, as can market growth, both of which require a different way of managing. Artificial intelligence combined with the digital twin helps to emphasize leadership skills and practices that lead to sustainable development.
ODT has been used in college students’ leadership studies. Learning outcomes have been monitored through self-assessments, and the results are encouraging. Gamified simulation-learning is based on reinforcement learning, where progress takes place through experiential adaptation according to the student’s capabilities and learning ability [25]. ODT is also used in managerial trainings for companies and municipal organizations. Perhaps the biggest challenge in coaching supervisors in working life is unlearning the biases that prevent leadership success. Traditional teaching is largely based on sharing best knowledge, where the teacher shares information on how to act and why to behave in a certain way. The power of digital simulation teaching is based on the fact that it adapts the brain through experiential learning. When a supervisor has to change the prevailing leadership attitude, he or she kind of adapts the brain to another frequency where listening and caring for employees rises higher in priorities. In this way, the supervisor becomes interested in developing herself in interaction practices where she may not have previously felt the need to learn.
The architecture of the digital twin models the reality of an organization with relatively good accuracy, which is important in building trust in an artificial intelligence solution. The core of the model is in the Human Capital Production Function of and in the scientific research of the Quality of Working Life index [26]. The architecture lays the foundation for a neural network that has been fine-tuned with the probabilities of empirical research as well as correlations created through supervised learning. For example, the physical and emotional safety (PE) of the QWL index correlates with sickness absence, so that when the PE factor falls, sick leaves increases. The correlation is brought into the digital twin, which makes the model more accurate because it also models sick leaves. In addition to research data, the digital twin can be calibrated with data from the organization. ODT learning can be extended in the organizational hierarchy to the level of an individual supervisor. In this way, artificial intelligence learns the strengths and weaknesses of a leader, so that the advice given by artificial intelligence is targeted at each supervisor.
Supervised learning AI that is based on data alone is unable to “understand” organizational complexity and phenomenon of delayed impact relationships. In fact, there is a word of warning in using simple data-driven AI in complex organization environment, because it may strengthen the harmful behavioral biases. Article indicates that ODT with Bellman algorithm can be used in finding organization specific optimal behavioral patterns and measures which will form sustainable competitiveness. The article suggests that in the future, top-tier companies will use RL artificial intelligence to support management decision-making.
This is a brief overview of the main steps involved in publishing with IntechOpen Compacts, Monographs and Edited Books. Once you submit your proposal you will be appointed a Author Service Manager who will be your single point of contact and lead you through all the described steps below.
",metaTitle:"Publishing Process Steps and Descriptions",metaDescription:"This is a brief overview of the main steps involved in publishing with InTechOpen Compacts, Monographs and Edited Books. Once you submit your proposal you will be appointed a Publishing Process Manager who will be your single point of contact and lead you through all the described steps below.",metaKeywords:null,canonicalURL:"page/publishing-process-steps",contentRaw:'[{"type":"htmlEditorComponent","content":"1. SEND YOUR PROPOSAL
\\n\\nPlease complete the publishing proposal form. The completed form should serve as an overview of your future Compacts, Monograph or Edited Book. Once submitted, your publishing proposal will be sent for evaluation, and a notice of acceptance or rejection will be sent within 10 to 30 working days from the date of submission.
\\n\\n2. SUBMIT YOUR MANUSCRIPT
\\n\\nAfter approval, you will proceed in submitting your full-length manuscript. 50-130 pages for compacts, 130-500 for Monographs & Edited Books.Your full-length manuscript must follow IntechOpen's Author Guidelines and comply with our publishing rules. Once the manuscript is submitted, but before it is forwarded for peer review, it will be screened for plagiarism.
\\n\\n3. PEER REVIEW RESULTS
\\n\\nExternal reviewers will evaluate your manuscript and provide you with their feedback. You may be asked to revise your draft, or parts of your draft, provide additional information and make any other necessary changes according to their comments and suggestions.
\\n\\n4. ACCEPTANCE AND PRICE QUOTE
\\n\\nIf the manuscript is formally accepted after peer review you will receive a formal Notice of Acceptance, and a price quote.
\\n\\nThe Open Access Publishing Fee of your IntechOpen Compacts, Monograph or Edited Book depends on the volume of the publication and includes: project management, editorial and peer review services, technical editing, language copyediting, cover design and book layout, book promotion and ISBN assignment.
\\n\\nWe will send you your price quote and after it has been accepted (by both the author and the publisher), both parties will sign a Statement of Work binding them to adhere to the agreed upon terms.
\\n\\nAt this step you will also be asked to accept the Copyright Agreement.
\\n\\n5. LANGUAGE COPYEDITING, TECHNICAL EDITING AND TYPESET PROOF
\\n\\nYour manuscript will be sent to Straive, a leader in content solution services, for language copyediting. You will then receive a typeset proof formatted in XML and available online in HTML and PDF to proofread and check for completeness. The first typeset proof of your manuscript is usually available 10 days after its original submission.
\\n\\nAfter we receive your proof corrections and a final typeset of the manuscript is approved, your manuscript is sent to our in house DTP department for technical formatting and online publication preparation.
\\n\\nAdditionally, you will be asked to provide a profile picture (face or chest-up portrait photograph) and a short summary of the book which is required for the book cover design.
\\n\\n6. INVOICE PAYMENT
\\n\\nThe invoice is generally paid by the author, the author’s institution or funder. The payment can be made by credit card from your Author Panel (one will be assigned to you at the beginning of the project), or via bank transfer as indicated on the invoice. We currently accept the following payment options:
\\n\\nIntechOpen will help you complete your payment safely and securely, keeping your personal, professional and financial information safe.
\\n\\n7. ONLINE PUBLICATION, PRINT AND DELIVERY OF THE BOOK
\\n\\nIntechOpen authors can choose whether to publish their book online only or opt for online and print editions. IntechOpen Compacts, Monographs and Edited Books will be published on www.intechopen.com. If ordered, print copies are delivered by DHL within 12 to 15 working days.
\\n\\nIf you feel that IntechOpen Compacts, Monographs or Edited Books are the right publishing format for your work, please fill out the publishing proposal form. For any specific queries related to the publishing process, or IntechOpen Compacts, Monographs & Edited Books in general, please contact us at book.department@intechopen.com
\\n"}]'},components:[{type:"htmlEditorComponent",content:'1. SEND YOUR PROPOSAL
\n\nPlease complete the publishing proposal form. The completed form should serve as an overview of your future Compacts, Monograph or Edited Book. Once submitted, your publishing proposal will be sent for evaluation, and a notice of acceptance or rejection will be sent within 10 to 30 working days from the date of submission.
\n\n2. SUBMIT YOUR MANUSCRIPT
\n\nAfter approval, you will proceed in submitting your full-length manuscript. 50-130 pages for compacts, 130-500 for Monographs & Edited Books.Your full-length manuscript must follow IntechOpen's Author Guidelines and comply with our publishing rules. Once the manuscript is submitted, but before it is forwarded for peer review, it will be screened for plagiarism.
\n\n3. PEER REVIEW RESULTS
\n\nExternal reviewers will evaluate your manuscript and provide you with their feedback. You may be asked to revise your draft, or parts of your draft, provide additional information and make any other necessary changes according to their comments and suggestions.
\n\n4. ACCEPTANCE AND PRICE QUOTE
\n\nIf the manuscript is formally accepted after peer review you will receive a formal Notice of Acceptance, and a price quote.
\n\nThe Open Access Publishing Fee of your IntechOpen Compacts, Monograph or Edited Book depends on the volume of the publication and includes: project management, editorial and peer review services, technical editing, language copyediting, cover design and book layout, book promotion and ISBN assignment.
\n\nWe will send you your price quote and after it has been accepted (by both the author and the publisher), both parties will sign a Statement of Work binding them to adhere to the agreed upon terms.
\n\nAt this step you will also be asked to accept the Copyright Agreement.
\n\n5. LANGUAGE COPYEDITING, TECHNICAL EDITING AND TYPESET PROOF
\n\nYour manuscript will be sent to Straive, a leader in content solution services, for language copyediting. You will then receive a typeset proof formatted in XML and available online in HTML and PDF to proofread and check for completeness. The first typeset proof of your manuscript is usually available 10 days after its original submission.
\n\nAfter we receive your proof corrections and a final typeset of the manuscript is approved, your manuscript is sent to our in house DTP department for technical formatting and online publication preparation.
\n\nAdditionally, you will be asked to provide a profile picture (face or chest-up portrait photograph) and a short summary of the book which is required for the book cover design.
\n\n6. INVOICE PAYMENT
\n\nThe invoice is generally paid by the author, the author’s institution or funder. The payment can be made by credit card from your Author Panel (one will be assigned to you at the beginning of the project), or via bank transfer as indicated on the invoice. We currently accept the following payment options:
\n\nIntechOpen will help you complete your payment safely and securely, keeping your personal, professional and financial information safe.
\n\n7. ONLINE PUBLICATION, PRINT AND DELIVERY OF THE BOOK
\n\nIntechOpen authors can choose whether to publish their book online only or opt for online and print editions. IntechOpen Compacts, Monographs and Edited Books will be published on www.intechopen.com. If ordered, print copies are delivered by DHL within 12 to 15 working days.
\n\nIf you feel that IntechOpen Compacts, Monographs or Edited Books are the right publishing format for your work, please fill out the publishing proposal form. For any specific queries related to the publishing process, or IntechOpen Compacts, Monographs & Edited Books in general, please contact us at book.department@intechopen.com
\n'}]},successStories:{items:[]},authorsAndEditors:{filterParams:{"933869@":null},profiles:[],filtersByRegion:[{group:"region",caption:"North America",value:1,count:6601},{group:"region",caption:"Middle and South America",value:2,count:5906},{group:"region",caption:"Africa",value:3,count:2400},{group:"region",caption:"Asia",value:4,count:12541},{group:"region",caption:"Australia and Oceania",value:5,count:1008},{group:"region",caption:"Europe",value:6,count:17561}],offset:0,limit:12,total:null},chapterEmbeded:{data:{}},editorApplication:{success:null,errors:{}},ofsBooks:{filterParams:{hasNoEditors:"1",sort:"dateEndThirdStepPublish"},books:[{type:"book",id:"11254",title:"Optical Coherence Tomography",subtitle:null,isOpenForSubmission:!0,hash:"a958c09ceaab1fc44c1dd0a817f48c92",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/11254.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11436",title:"Beauty",subtitle:null,isOpenForSubmission:!0,hash:"0e15ba86bab1a64f950318f3ab2584ed",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/11436.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11438",title:"Fake News in the Era of Pandemics",subtitle:null,isOpenForSubmission:!0,hash:"bc9e4cab86c76f35cd70b39086d9b69e",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/11438.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11472",title:"21st Century Slavery",subtitle:null,isOpenForSubmission:!0,hash:"b341f3fc3411ced881e43ce007a892b8",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/11472.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11473",title:"Social Inequality",subtitle:null,isOpenForSubmission:!0,hash:"20307129f7fb39aa443d5449acb6a784",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/11473.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11546",title:"Smart and Sustainable Transportation",subtitle:null,isOpenForSubmission:!0,hash:"e8ea27a1ff85cde00efcb6f6968c20f8",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/11546.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11554",title:"Information Systems Management",subtitle:null,isOpenForSubmission:!0,hash:"3134452ff2fdec020663f241c7a9a748",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/11554.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11588",title:"Autism",subtitle:null,isOpenForSubmission:!0,hash:"0c5043c6174db167599cb3f762e8bba8",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/11588.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11605",title:"Bamboo",subtitle:null,isOpenForSubmission:!0,hash:"378d957561b27c86b750a9c7841a5d18",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/11605.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11612",title:"Landraces",subtitle:null,isOpenForSubmission:!0,hash:"06316c41a6f6317ad2bee244dc98c6a4",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/11612.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{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:"11632",title:"Updated Research on Bacteriophages",subtitle:null,isOpenForSubmission:!0,hash:"d34dfa0d5d10511184f97ddaeef9936b",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/11632.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],filtersByTopic:[{group:"topic",caption:"Agricultural and Biological Sciences",value:5,count:41},{group:"topic",caption:"Biochemistry, Genetics and Molecular Biology",value:6,count:12},{group:"topic",caption:"Business, Management and Economics",value:7,count:7},{group:"topic",caption:"Chemistry",value:8,count:17},{group:"topic",caption:"Computer and Information Science",value:9,count:16},{group:"topic",caption:"Earth and Planetary Sciences",value:10,count:17},{group:"topic",caption:"Engineering",value:11,count:32},{group:"topic",caption:"Environmental Sciences",value:12,count:7},{group:"topic",caption:"Immunology and Microbiology",value:13,count:11},{group:"topic",caption:"Materials Science",value:14,count:11},{group:"topic",caption:"Mathematics",value:15,count:6},{group:"topic",caption:"Medicine",value:16,count:106},{group:"topic",caption:"Nanotechnology and Nanomaterials",value:17,count:2},{group:"topic",caption:"Neuroscience",value:18,count:7},{group:"topic",caption:"Pharmacology, Toxicology and Pharmaceutical Science",value:19,count:11},{group:"topic",caption:"Physics",value:20,count:2},{group:"topic",caption:"Psychology",value:21,count:8},{group:"topic",caption:"Robotics",value:22,count:2},{group:"topic",caption:"Social Sciences",value:23,count:32},{group:"topic",caption:"Technology",value:24,count:1},{group:"topic",caption:"Veterinary Medicine and Science",value:25,count:2}],offset:12,limit:12,total:350},popularBooks:{featuredBooks:[{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"}},{type:"book",id:"11001",title:"Density Functional Theory",subtitle:"Recent Advances, New Perspectives and Applications",isOpenForSubmission:!1,hash:"82d53383af78ab41eb982086c02fb2bb",slug:"density-functional-theory-recent-advances-new-perspectives-and-applications",bookSignature:"Daniel Glossman-Mitnik",coverURL:"https://cdn.intechopen.com/books/images_new/11001.jpg",editors:[{id:"198499",title:"Dr.",name:"Daniel",middleName:null,surname:"Glossman-Mitnik",slug:"daniel-glossman-mitnik",fullName:"Daniel Glossman-Mitnik"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10251",title:"Plankton Communities",subtitle:null,isOpenForSubmission:!1,hash:"e11e441ca2d2d5f631b1b4704505cfb6",slug:"plankton-communities",bookSignature:"Leonel Pereira and Ana Marta Gonçalves",coverURL:"https://cdn.intechopen.com/books/images_new/10251.jpg",editors:[{id:"279788",title:"Dr.",name:"Leonel",middleName:null,surname:"Pereira",slug:"leonel-pereira",fullName:"Leonel Pereira"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10830",title:"Animal Feed Science and Nutrition",subtitle:"Production, Health and Environment",isOpenForSubmission:!1,hash:"79944fc8fbbaa329aed6fde388154832",slug:"animal-feed-science-and-nutrition-production-health-and-environment",bookSignature:"Amlan Kumar Patra",coverURL:"https://cdn.intechopen.com/books/images_new/10830.jpg",editors:[{id:"310962",title:"Dr.",name:"Amlan",middleName:"Kumar",surname:"Patra",slug:"amlan-patra",fullName:"Amlan Patra"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10356",title:"Natural Medicinal Plants",subtitle:null,isOpenForSubmission:!1,hash:"943e56ccaaf19ff696d25aa638ae37d6",slug:"natural-medicinal-plants",bookSignature:"Hany A. El-Shemy",coverURL:"https://cdn.intechopen.com/books/images_new/10356.jpg",editors:[{id:"54719",title:"Prof.",name:"Hany",middleName:null,surname:"El-Shemy",slug:"hany-el-shemy",fullName:"Hany El-Shemy"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11752",title:"Natural Drugs from Plants",subtitle:null,isOpenForSubmission:!1,hash:"a0a83c0822608ef7592bf16a5ed0ada4",slug:"natural-drugs-from-plants",bookSignature:"Hany A. El-Shemy",coverURL:"https://cdn.intechopen.com/books/images_new/11752.jpg",editors:[{id:"54719",title:"Prof.",name:"Hany",middleName:null,surname:"El-Shemy",slug:"hany-el-shemy",fullName:"Hany El-Shemy"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10853",title:"Recent Advances in Polynomials",subtitle:null,isOpenForSubmission:!1,hash:"9e8671bae09ccaa8b8e276c639a737fc",slug:"recent-advances-in-polynomials",bookSignature:"Kamal Shah",coverURL:"https://cdn.intechopen.com/books/images_new/10853.jpg",editors:[{id:"231748",title:"Dr.",name:"Kamal",middleName:null,surname:"Shah",slug:"kamal-shah",fullName:"Kamal Shah"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10676",title:"Recent Applications in Graph Theory",subtitle:null,isOpenForSubmission:!1,hash:"900c60742d224080732bd16bd25ccba8",slug:"recent-applications-in-graph-theory",bookSignature:"Harun Pirim",coverURL:"https://cdn.intechopen.com/books/images_new/10676.jpg",editors:[{id:"146092",title:"Dr.",name:"Harun",middleName:null,surname:"Pirim",slug:"harun-pirim",fullName:"Harun Pirim"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10903",title:"Genetically Modified Plants and Beyond",subtitle:null,isOpenForSubmission:!1,hash:"4d7ed4faab99c92cd4d676dc86501df9",slug:"genetically-modified-plants-and-beyond",bookSignature:"Idah Sithole Niang",coverURL:"https://cdn.intechopen.com/books/images_new/10903.jpg",editors:[{id:"90172",title:"Prof.",name:"Idah",middleName:null,surname:"Sithole-Niang",slug:"idah-sithole-niang",fullName:"Idah Sithole-Niang"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10904",title:"Fusarium",subtitle:"An Overview of the Genus",isOpenForSubmission:!1,hash:"49d9063e43f94bd1517d65fbc58b93c3",slug:"fusarium-an-overview-of-the-genus",bookSignature:"Seyed Mahyar Mirmajlessi",coverURL:"https://cdn.intechopen.com/books/images_new/10904.jpg",editors:[{id:"100573",title:"Dr.",name:"Seyed Mahyar",middleName:null,surname:"Mirmajlessi",slug:"seyed-mahyar-mirmajlessi",fullName:"Seyed Mahyar Mirmajlessi"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10871",title:"Computed-Tomography (CT) Scan",subtitle:null,isOpenForSubmission:!1,hash:"966d8cf74fa27eea1b9cbc9a6ee94993",slug:"computed-tomography-ct-scan",bookSignature:"Reda R. Gharieb",coverURL:"https://cdn.intechopen.com/books/images_new/10871.jpg",editors:[{id:"225387",title:"Prof.",name:"Reda R.",middleName:"R.",surname:"Gharieb",slug:"reda-r.-gharieb",fullName:"Reda R. Gharieb"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11196",title:"New Updates in E-Learning",subtitle:null,isOpenForSubmission:!1,hash:"6afaadf68e2a0a4b370ac5ceb5ca89c6",slug:"new-updates-in-e-learning",bookSignature:"Eduard Babulak",coverURL:"https://cdn.intechopen.com/books/images_new/11196.jpg",editors:[{id:"10086",title:"Prof.",name:"Eduard",middleName:null,surname:"Babulak",slug:"eduard-babulak",fullName:"Eduard Babulak"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}}],offset:12,limit:12,total:4387},hotBookTopics:{hotBooks:[],offset:0,limit:12,total:null},publish:{},publishingProposal:{success:null,errors:{}},books:{featuredBooks:[{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",publishedDate:"May 18th 2022",numberOfDownloads:3340,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"}},{type:"book",id:"11001",title:"Density Functional Theory",subtitle:"Recent Advances, New Perspectives and Applications",isOpenForSubmission:!1,hash:"82d53383af78ab41eb982086c02fb2bb",slug:"density-functional-theory-recent-advances-new-perspectives-and-applications",bookSignature:"Daniel Glossman-Mitnik",coverURL:"https://cdn.intechopen.com/books/images_new/11001.jpg",publishedDate:"May 18th 2022",numberOfDownloads:1845,editors:[{id:"198499",title:"Dr.",name:"Daniel",middleName:null,surname:"Glossman-Mitnik",slug:"daniel-glossman-mitnik",fullName:"Daniel Glossman-Mitnik"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10251",title:"Plankton Communities",subtitle:null,isOpenForSubmission:!1,hash:"e11e441ca2d2d5f631b1b4704505cfb6",slug:"plankton-communities",bookSignature:"Leonel Pereira and Ana Marta Gonçalves",coverURL:"https://cdn.intechopen.com/books/images_new/10251.jpg",publishedDate:"May 18th 2022",numberOfDownloads:1096,editors:[{id:"279788",title:"Dr.",name:"Leonel",middleName:null,surname:"Pereira",slug:"leonel-pereira",fullName:"Leonel Pereira"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10830",title:"Animal Feed Science and Nutrition",subtitle:"Production, Health and Environment",isOpenForSubmission:!1,hash:"79944fc8fbbaa329aed6fde388154832",slug:"animal-feed-science-and-nutrition-production-health-and-environment",bookSignature:"Amlan Kumar Patra",coverURL:"https://cdn.intechopen.com/books/images_new/10830.jpg",publishedDate:"May 18th 2022",numberOfDownloads:995,editors:[{id:"310962",title:"Dr.",name:"Amlan",middleName:"Kumar",surname:"Patra",slug:"amlan-patra",fullName:"Amlan Patra"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10356",title:"Natural Medicinal Plants",subtitle:null,isOpenForSubmission:!1,hash:"943e56ccaaf19ff696d25aa638ae37d6",slug:"natural-medicinal-plants",bookSignature:"Hany A. El-Shemy",coverURL:"https://cdn.intechopen.com/books/images_new/10356.jpg",publishedDate:"May 11th 2022",numberOfDownloads:3791,editors:[{id:"54719",title:"Prof.",name:"Hany",middleName:null,surname:"El-Shemy",slug:"hany-el-shemy",fullName:"Hany El-Shemy"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"11752",title:"Natural Drugs from Plants",subtitle:null,isOpenForSubmission:!1,hash:"a0a83c0822608ef7592bf16a5ed0ada4",slug:"natural-drugs-from-plants",bookSignature:"Hany A. El-Shemy",coverURL:"https://cdn.intechopen.com/books/images_new/11752.jpg",publishedDate:"May 11th 2022",numberOfDownloads:2982,editors:[{id:"54719",title:"Prof.",name:"Hany",middleName:null,surname:"El-Shemy",slug:"hany-el-shemy",fullName:"Hany El-Shemy"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10853",title:"Recent Advances in Polynomials",subtitle:null,isOpenForSubmission:!1,hash:"9e8671bae09ccaa8b8e276c639a737fc",slug:"recent-advances-in-polynomials",bookSignature:"Kamal Shah",coverURL:"https://cdn.intechopen.com/books/images_new/10853.jpg",publishedDate:"May 18th 2022",numberOfDownloads:559,editors:[{id:"231748",title:"Dr.",name:"Kamal",middleName:null,surname:"Shah",slug:"kamal-shah",fullName:"Kamal Shah"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10676",title:"Recent Applications in Graph Theory",subtitle:null,isOpenForSubmission:!1,hash:"900c60742d224080732bd16bd25ccba8",slug:"recent-applications-in-graph-theory",bookSignature:"Harun Pirim",coverURL:"https://cdn.intechopen.com/books/images_new/10676.jpg",publishedDate:"May 18th 2022",numberOfDownloads:546,editors:[{id:"146092",title:"Dr.",name:"Harun",middleName:null,surname:"Pirim",slug:"harun-pirim",fullName:"Harun Pirim"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10903",title:"Genetically Modified Plants and Beyond",subtitle:null,isOpenForSubmission:!1,hash:"4d7ed4faab99c92cd4d676dc86501df9",slug:"genetically-modified-plants-and-beyond",bookSignature:"Idah Sithole Niang",coverURL:"https://cdn.intechopen.com/books/images_new/10903.jpg",publishedDate:"May 18th 2022",numberOfDownloads:539,editors:[{id:"90172",title:"Prof.",name:"Idah",middleName:null,surname:"Sithole-Niang",slug:"idah-sithole-niang",fullName:"Idah Sithole-Niang"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10904",title:"Fusarium",subtitle:"An Overview of the Genus",isOpenForSubmission:!1,hash:"49d9063e43f94bd1517d65fbc58b93c3",slug:"fusarium-an-overview-of-the-genus",bookSignature:"Seyed Mahyar Mirmajlessi",coverURL:"https://cdn.intechopen.com/books/images_new/10904.jpg",publishedDate:"May 18th 2022",numberOfDownloads:535,editors:[{id:"100573",title:"Dr.",name:"Seyed Mahyar",middleName:null,surname:"Mirmajlessi",slug:"seyed-mahyar-mirmajlessi",fullName:"Seyed Mahyar Mirmajlessi"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter"}}],latestBooks:[{type:"book",id:"10251",title:"Plankton Communities",subtitle:null,isOpenForSubmission:!1,hash:"e11e441ca2d2d5f631b1b4704505cfb6",slug:"plankton-communities",bookSignature:"Leonel Pereira and Ana Marta Gonçalves",coverURL:"https://cdn.intechopen.com/books/images_new/10251.jpg",editedByType:"Edited by",publishedDate:"May 18th 2022",editors:[{id:"279788",title:"Dr.",name:"Leonel",middleName:null,surname:"Pereira",slug:"leonel-pereira",fullName:"Leonel Pereira"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10830",title:"Animal Feed Science and Nutrition",subtitle:"Production, Health and Environment",isOpenForSubmission:!1,hash:"79944fc8fbbaa329aed6fde388154832",slug:"animal-feed-science-and-nutrition-production-health-and-environment",bookSignature:"Amlan Kumar Patra",coverURL:"https://cdn.intechopen.com/books/images_new/10830.jpg",editedByType:"Edited by",publishedDate:"May 18th 2022",editors:[{id:"310962",title:"Dr.",name:"Amlan",middleName:"Kumar",surname:"Patra",slug:"amlan-patra",fullName:"Amlan Patra"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10853",title:"Recent Advances in Polynomials",subtitle:null,isOpenForSubmission:!1,hash:"9e8671bae09ccaa8b8e276c639a737fc",slug:"recent-advances-in-polynomials",bookSignature:"Kamal Shah",coverURL:"https://cdn.intechopen.com/books/images_new/10853.jpg",editedByType:"Edited by",publishedDate:"May 18th 2022",editors:[{id:"231748",title:"Dr.",name:"Kamal",middleName:null,surname:"Shah",slug:"kamal-shah",fullName:"Kamal Shah"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10871",title:"Computed-Tomography (CT) Scan",subtitle:null,isOpenForSubmission:!1,hash:"966d8cf74fa27eea1b9cbc9a6ee94993",slug:"computed-tomography-ct-scan",bookSignature:"Reda R. Gharieb",coverURL:"https://cdn.intechopen.com/books/images_new/10871.jpg",editedByType:"Edited by",publishedDate:"May 18th 2022",editors:[{id:"225387",title:"Prof.",name:"Reda R.",middleName:"R.",surname:"Gharieb",slug:"reda-r.-gharieb",fullName:"Reda R. Gharieb"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10903",title:"Genetically Modified Plants and Beyond",subtitle:null,isOpenForSubmission:!1,hash:"4d7ed4faab99c92cd4d676dc86501df9",slug:"genetically-modified-plants-and-beyond",bookSignature:"Idah Sithole Niang",coverURL:"https://cdn.intechopen.com/books/images_new/10903.jpg",editedByType:"Edited by",publishedDate:"May 18th 2022",editors:[{id:"90172",title:"Prof.",name:"Idah",middleName:null,surname:"Sithole-Niang",slug:"idah-sithole-niang",fullName:"Idah Sithole-Niang"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10904",title:"Fusarium",subtitle:"An Overview of the Genus",isOpenForSubmission:!1,hash:"49d9063e43f94bd1517d65fbc58b93c3",slug:"fusarium-an-overview-of-the-genus",bookSignature:"Seyed Mahyar Mirmajlessi",coverURL:"https://cdn.intechopen.com/books/images_new/10904.jpg",editedByType:"Edited by",publishedDate:"May 18th 2022",editors:[{id:"100573",title:"Dr.",name:"Seyed Mahyar",middleName:null,surname:"Mirmajlessi",slug:"seyed-mahyar-mirmajlessi",fullName:"Seyed Mahyar Mirmajlessi"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10654",title:"Brain-Computer Interface",subtitle:null,isOpenForSubmission:!1,hash:"a5308884068cc53ed31c6baba756857f",slug:"brain-computer-interface",bookSignature:"Vahid Asadpour",coverURL:"https://cdn.intechopen.com/books/images_new/10654.jpg",editedByType:"Edited by",publishedDate:"May 18th 2022",editors:[{id:"165328",title:"Dr.",name:"Vahid",middleName:null,surname:"Asadpour",slug:"vahid-asadpour",fullName:"Vahid Asadpour"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10676",title:"Recent Applications in Graph Theory",subtitle:null,isOpenForSubmission:!1,hash:"900c60742d224080732bd16bd25ccba8",slug:"recent-applications-in-graph-theory",bookSignature:"Harun Pirim",coverURL:"https://cdn.intechopen.com/books/images_new/10676.jpg",editedByType:"Edited by",publishedDate:"May 18th 2022",editors:[{id:"146092",title:"Dr.",name:"Harun",middleName:null,surname:"Pirim",slug:"harun-pirim",fullName:"Harun Pirim"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11196",title:"New Updates in E-Learning",subtitle:null,isOpenForSubmission:!1,hash:"6afaadf68e2a0a4b370ac5ceb5ca89c6",slug:"new-updates-in-e-learning",bookSignature:"Eduard Babulak",coverURL:"https://cdn.intechopen.com/books/images_new/11196.jpg",editedByType:"Edited by",publishedDate:"May 18th 2022",editors:[{id:"10086",title:"Prof.",name:"Eduard",middleName:null,surname:"Babulak",slug:"eduard-babulak",fullName:"Eduard Babulak"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{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",editedByType:"Edited by",publishedDate:"May 18th 2022",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",authoredCaption:"Edited by"}}]},subject:{topic:{id:"372",title:"Phytology",slug:"phytology",parent:{id:"41",title:"Plant Biology",slug:"agricultural-and-biological-sciences-plant-biology"},numberOfBooks:4,numberOfSeries:0,numberOfAuthorsAndEditors:81,numberOfWosCitations:135,numberOfCrossrefCitations:16,numberOfDimensionsCitations:32,videoUrl:null,fallbackUrl:null,description:null},booksByTopicFilter:{topicId:"372",sort:"-publishedDate",limit:12,offset:0},booksByTopicCollection:[{type:"book",id:"9704",title:"Cucumber Economic Values and Its Cultivation and Breeding",subtitle:null,isOpenForSubmission:!1,hash:"779dad6540f8023acf09657acf0b5da8",slug:"cucumber-economic-values-and-its-cultivation-and-breeding",bookSignature:"Haiping Wang",coverURL:"https://cdn.intechopen.com/books/images_new/9704.jpg",editedByType:"Edited by",editors:[{id:"280406",title:"Dr.",name:"Haiping",middleName:null,surname:"Wang",slug:"haiping-wang",fullName:"Haiping Wang"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"8044",title:"Root Biology",subtitle:"Growth, Physiology, and Functions",isOpenForSubmission:!1,hash:"e29d230e2fb39fddbf72452c91fe411d",slug:"root-biology-growth-physiology-and-functions",bookSignature:"Takuji Ohyama",coverURL:"https://cdn.intechopen.com/books/images_new/8044.jpg",editedByType:"Edited by",editors:[{id:"30061",title:"Prof.",name:"Takuji",middleName:null,surname:"Ohyama",slug:"takuji-ohyama",fullName:"Takuji Ohyama"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7491",title:"Forage Groups",subtitle:null,isOpenForSubmission:!1,hash:"0f0fb28490411c41af2c39eaf6412aec",slug:"forage-groups",bookSignature:"Ricardo Loiola Edvan and Edson Mauro Santos",coverURL:"https://cdn.intechopen.com/books/images_new/7491.jpg",editedByType:"Edited by",editors:[{id:"283266",title:"Dr.",name:"Ricardo",middleName:null,surname:"Loiola Edvan",slug:"ricardo-loiola-edvan",fullName:"Ricardo Loiola Edvan"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1814",title:"Botany",subtitle:null,isOpenForSubmission:!1,hash:"c692bbecba40bcdc059399e3ddb10de2",slug:"botany",bookSignature:"John Kiogora Mworia",coverURL:"https://cdn.intechopen.com/books/images_new/1814.jpg",editedByType:"Edited by",editors:[{id:"26063",title:"Dr.",name:"John",middleName:"Kiogora",surname:"Mworia",slug:"john-mworia",fullName:"John Mworia"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:4,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"67771",doi:"10.5772/intechopen.87083",title:"The Role of Plant Growth-Promoting Bacteria in the Growth of Cereals under Abiotic Stresses",slug:"the-role-of-plant-growth-promoting-bacteria-in-the-growth-of-cereals-under-abiotic-stresses",totalDownloads:1588,totalCrossrefCites:7,totalDimensionsCites:13,abstract:"Plant growth-promoting rhizobacteria (PGPR) are known to improve plant performance by multiple mechanisms, such as the production of beneficial hormones, the enhancement of plant nutritional status, and the reduction of the stress-related damage. The interaction between plants and PGPR becomes of particular interest in environments that are characterized by suboptimal growing conditions, e.g., high or low temperatures, drought, soil salinity, and nutrient scarcity. The positive role of PGPR will become even more appealing in the future, as world agriculture is facing issues as climate change and soil degradation. This chapter aims to discuss the main mechanisms of the interaction between PGPR and plants and will focus of how PGPR can decrease abiotic stress damage in cereals, which are critical crops for human diet.",book:{id:"8044",slug:"root-biology-growth-physiology-and-functions",title:"Root Biology",fullTitle:"Root Biology - Growth, Physiology, and Functions"},signatures:"Martino Schillaci, Sneha Gupta, Robert Walker and Ute Roessner",authors:null},{id:"64176",doi:"10.5772/intechopen.81186",title:"Tropical Forage Legumes in India: Status and Scope for Sustaining Livestock Production",slug:"tropical-forage-legumes-in-india-status-and-scope-for-sustaining-livestock-production",totalDownloads:1997,totalCrossrefCites:3,totalDimensionsCites:5,abstract:"Livestock contributes enormously in food and nutritional security apart from livelihood security to rural population all over the world. India has the largest number of livestock, representing over 17% of world population. Availability of forage legumes is essential for better animal health, production and increasing the nutritive value of forage-based rations, besides providing a source of biological nitrogen fixation for enriching soil, reducing land degradation and mitigating climate change. However, supply of quality green fodder in India is extremely precarious, and the gap is huge against demand. The major fodder legume crops cultivated in India are Medicago sativa, Trifolium alexandrinum, Vigna unguiculata, Vigna umbellate and range legumes are Stylosanthes spp., Desmanthus virgatus, and Clitoria ternatea. Indian subcontinent represents wide spectrum of eco-climates and reported diversity of 21 forage legumes genera viz., Desmodium, Lablab, Stylosanthes, Vigna, Macroptelium, Centrosema and browse plants Leucaena, Sesbania, Albizia, Bauhinia, Cassia, Grewia, etc. Diversity of forage legumes were collected (>3200 accessions), evaluated and sources for different biotic and abiotic stress tolerance were identified, apart from >50 cultivars developed. Considering these aspects, tropical legumes for livestock production, soil health and ecosystem services, diversity, evaluation and breeding for improved varieties are discussed in this chapter.",book:{id:"7491",slug:"forage-groups",title:"Forage Groups",fullTitle:"Forage Groups"},signatures:"Tejveer Singh, Srinivasan Ramakrishnan, Sanat Kumar Mahanta,\nVikas C. Tyagi and Ajoy Kumar Roy",authors:[{id:"254954",title:"Dr.",name:"Srinivasan",middleName:null,surname:"Ramakrishnan",slug:"srinivasan-ramakrishnan",fullName:"Srinivasan Ramakrishnan"},{id:"254958",title:"Dr.",name:"Tejveer",middleName:null,surname:"Singh",slug:"tejveer-singh",fullName:"Tejveer Singh"},{id:"254959",title:"Dr.",name:"Sanath Kumar",middleName:null,surname:"Mahanta",slug:"sanath-kumar-mahanta",fullName:"Sanath Kumar Mahanta"},{id:"254960",title:"Dr.",name:"Vikas",middleName:null,surname:"Tyagi",slug:"vikas-tyagi",fullName:"Vikas Tyagi"},{id:"254961",title:"Dr.",name:"A.K.",middleName:null,surname:"Roy",slug:"a.k.-roy",fullName:"A.K. Roy"}]},{id:"65365",doi:"10.5772/intechopen.83402",title:"Mob Grazing Results in High Forage Utilization and Reduced Western Snowberry Size",slug:"mob-grazing-results-in-high-forage-utilization-and-reduced-western-snowberry-size",totalDownloads:950,totalCrossrefCites:0,totalDimensionsCites:3,abstract:"Mob-grazing strives to maximize forage utilization and minimize selective grazing by using high stocking densities in small paddocks for short durations (12–24 hr). Rotational-grazing uses low stocking densities for a longer time period, retaining about half of the original available forage; although selective grazing can occur. Three cattle (Bos taurus × Bos indicus) grazing intensities: mob- (stocking densities from 32,000 to 67,000 kg ha−1; duration—24 hr); rotation (stocking density—2500 kg ha−1; duration—35 d); and non-grazed systems were compared based on forage utilization and changes to western snowberry (Symphoricarpos occidentalis) (WS) patch volume in a 2-year South Dakota study. Pre- and post-grazing forage height was measured every 2.5 m along multiple 50-m transects with WS patch volume measured every 5 m. Forage utilization (consumed and trampled) ranged from 42 to 90% in mob-grazed areas, and harvest efficiency (forage consumed) ranged from 15 to 64%. WS patch volumes decreased by ≥45% in mob-grazed treatments compared with no change in rotational-grazing and increased cover in non-grazed areas. WS pre-graze patch size influenced mob-grazing impact; patches >6500 cm3 were browsed or trampled to a greater extent than smaller patches.",book:{id:"7491",slug:"forage-groups",title:"Forage Groups",fullTitle:"Forage Groups"},signatures:"Heidi Reed, Sharon Clay, Alexander Smart, David Clay and Michelle\nOhrtman",authors:[{id:"37140",title:"Prof.",name:"David",middleName:null,surname:"Clay",slug:"david-clay",fullName:"David Clay"},{id:"87430",title:"Prof.",name:"Sharon",middleName:null,surname:"Clay",slug:"sharon-clay",fullName:"Sharon Clay"},{id:"255998",title:"Dr.",name:"Heidi",middleName:null,surname:"Reed",slug:"heidi-reed",fullName:"Heidi Reed"},{id:"256000",title:"Dr.",name:"Alexander",middleName:null,surname:"Smart",slug:"alexander-smart",fullName:"Alexander Smart"},{id:"285225",title:"Dr.",name:"Michelle",middleName:null,surname:"Ohrtman",slug:"michelle-ohrtman",fullName:"Michelle Ohrtman"}]},{id:"65604",doi:"10.5772/intechopen.83643",title:"Evaluation and Prediction of the Nutritive Value of Underutilised Forages as Potential Feeds for Ruminants",slug:"evaluation-and-prediction-of-the-nutritive-value-of-underutilised-forages-as-potential-feeds-for-rum",totalDownloads:1539,totalCrossrefCites:0,totalDimensionsCites:2,abstract:"The aim of the chapter was to evaluate and predict the nutritive and feeding value of unknown and underutilised forages. Underutilised forages were collected from various regions. Chemical composition and degradability of forages in the rumen were determined. A dataset was created bearing degradability parameters of feeds from 40 studies. Using the dataset, a step-wise regression procedure was used to develop regression equations to predict rumen degradability. Of the underutilised forages, crude protein content tended to be double for Brassica oleracea var. acephala compared to Colophospermum mopane leaves and pods. Forage grasses tended to have very low crude protein contents compared to legumes and concentrates. Underutilised Brassica oleracea var. acephala tended to have higher crude protein levels compared to commonly used protein sources. The regression model for predicting the soluble fraction accounted for 59% (development) and 71% (validation) of the variation. The regression model for predicting the potential degradability accounted for 65% (development) and 24% (validation) of the variation. In conclusion, the nutritive value of underutilised forages was good, high in crude protein and high potential degradability. After correcting for factors that significantly affected degradability parameters, predicted solubility and effective degradability lay near the ideal prediction line, giving good predictions.",book:{id:"7491",slug:"forage-groups",title:"Forage Groups",fullTitle:"Forage Groups"},signatures:"Mehluli Moyo, Siyabonga T. Bhiya, Masande Katamzi and Ignatius\nV. Nsahlai",authors:[{id:"201527",title:"Prof.",name:"Ignatius V.",middleName:null,surname:"Nsahlai",slug:"ignatius-v.-nsahlai",fullName:"Ignatius V. Nsahlai"},{id:"203798",title:"Mr.",name:"Mehluli",middleName:null,surname:"Moyo",slug:"mehluli-moyo",fullName:"Mehluli Moyo"},{id:"260135",title:"Mr.",name:"Katamzi",middleName:null,surname:"Masande",slug:"katamzi-masande",fullName:"Katamzi Masande"},{id:"283732",title:"Mr.",name:"Siyabonga",middleName:null,surname:"Bhiya",slug:"siyabonga-bhiya",fullName:"Siyabonga Bhiya"}]},{id:"67736",doi:"10.5772/intechopen.86996",title:"The Infection Unit: An Overlooked Conceptual Unit for Arbuscular Mycorrhizal Function",slug:"the-infection-unit-an-overlooked-conceptual-unit-for-arbuscular-mycorrhizal-function",totalDownloads:935,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"Most land plant species have their roots colonized by arbuscular mycorrhizal fungi (AMF). These symbiotic associations are often found in the roots of field crops. The biological basis and practical significance of this symbiosis have been extensively studied, and the molecular mechanisms underlying the initial colonization process and the nutrient exchange between the host plant and the AMF have been elucidated. However, developmental processes and turnover of elements of the mycorrhiza, and the resulting changes in mycorrhizal function, are not well understood. The enigmatic nature of the development-function relationship is probably due to the short life span of the infection unit, which has largely been overlooked in studies investigating mycorrhizal function at the macroscopic level. This paper outlines the concept of the infection unit and functional expression patterns in terms of the transient aspects of the micro-symbiont during its life cycle in this symbiosis.",book:{id:"8044",slug:"root-biology-growth-physiology-and-functions",title:"Root Biology",fullTitle:"Root Biology - Growth, Physiology, and Functions"},signatures:"Yoshihiro Kobae",authors:null}],mostDownloadedChaptersLast30Days:[{id:"63148",title:"Domestic Livestock and Its Alleged Role in Climate Change",slug:"domestic-livestock-and-its-alleged-role-in-climate-change",totalDownloads:15845,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"It is very old wisdom that climate dictates farm management strategies. In recent years, however, we are increasingly confronted with claims that agriculture, livestock husbandry, and even food consumption habits are forcing the climate to change. We subjected this worrisome concern expressed by public institutions, the media, policy makers, and even scientists to a rigorous review, cross-checking critical coherence and (in)compatibilities within and between published scientific papers. Our key conclusion is there is no need for anthropogenic emissions of greenhouse gases (GHGs), and even less so for livestock-born emissions, to explain climate change. Climate has always been changing, and even the present warming is most likely driven by natural factors. The warming potential of anthropogenic GHG emissions has been exaggerated, and the beneficial impacts of manmade CO2 emissions for nature, agriculture, and global food security have been systematically suppressed, ignored, or at least downplayed by the IPCC (Intergovernmental Panel on Climate Change) and other UN (United Nations) agencies. Furthermore, we expose important methodological deficiencies in IPCC and FAO (Food Agriculture Organization) instructions and applications for the quantification of the manmade part of non-CO2-GHG emissions from agro-ecosystems. However, so far, these fatal errors inexorably propagated through scientific literature. Finally, we could not find a clear domestic livestock fingerprint, neither in the geographical methane distribution nor in the historical evolution of mean atmospheric methane concentration. In conclusion, everybody is free to choose a vegetarian or vegan lifestyle, but there is no scientific basis, whatsoever, for claiming this decision could contribute to save the planet’s climate.",book:{id:"7491",slug:"forage-groups",title:"Forage Groups",fullTitle:"Forage Groups"},signatures:"Albrecht Glatzle",authors:[{id:"252990",title:"Dr.",name:"Albrecht",middleName:null,surname:"Glatzle",slug:"albrecht-glatzle",fullName:"Albrecht Glatzle"}]},{id:"32711",title:"Flooding Stress on Plants: Anatomical, Morphological and Physiological Responses",slug:"flooding-stress-on-plants-anatomical-morphological-and-physiological-responses",totalDownloads:7754,totalCrossrefCites:0,totalDimensionsCites:0,abstract:null,book:{id:"1814",slug:"botany",title:"Botany",fullTitle:"Botany"},signatures:"Gustavo Gabriel Striker",authors:[{id:"93232",title:"Prof.",name:"Gustavo",middleName:"Gabriel",surname:"Striker",slug:"gustavo-striker",fullName:"Gustavo Striker"}]},{id:"65604",title:"Evaluation and Prediction of the Nutritive Value of Underutilised Forages as Potential Feeds for Ruminants",slug:"evaluation-and-prediction-of-the-nutritive-value-of-underutilised-forages-as-potential-feeds-for-rum",totalDownloads:1537,totalCrossrefCites:0,totalDimensionsCites:2,abstract:"The aim of the chapter was to evaluate and predict the nutritive and feeding value of unknown and underutilised forages. Underutilised forages were collected from various regions. Chemical composition and degradability of forages in the rumen were determined. A dataset was created bearing degradability parameters of feeds from 40 studies. Using the dataset, a step-wise regression procedure was used to develop regression equations to predict rumen degradability. Of the underutilised forages, crude protein content tended to be double for Brassica oleracea var. acephala compared to Colophospermum mopane leaves and pods. Forage grasses tended to have very low crude protein contents compared to legumes and concentrates. Underutilised Brassica oleracea var. acephala tended to have higher crude protein levels compared to commonly used protein sources. The regression model for predicting the soluble fraction accounted for 59% (development) and 71% (validation) of the variation. The regression model for predicting the potential degradability accounted for 65% (development) and 24% (validation) of the variation. In conclusion, the nutritive value of underutilised forages was good, high in crude protein and high potential degradability. After correcting for factors that significantly affected degradability parameters, predicted solubility and effective degradability lay near the ideal prediction line, giving good predictions.",book:{id:"7491",slug:"forage-groups",title:"Forage Groups",fullTitle:"Forage Groups"},signatures:"Mehluli Moyo, Siyabonga T. Bhiya, Masande Katamzi and Ignatius\nV. Nsahlai",authors:[{id:"201527",title:"Prof.",name:"Ignatius V.",middleName:null,surname:"Nsahlai",slug:"ignatius-v.-nsahlai",fullName:"Ignatius V. Nsahlai"},{id:"203798",title:"Mr.",name:"Mehluli",middleName:null,surname:"Moyo",slug:"mehluli-moyo",fullName:"Mehluli Moyo"},{id:"260135",title:"Mr.",name:"Katamzi",middleName:null,surname:"Masande",slug:"katamzi-masande",fullName:"Katamzi Masande"},{id:"283732",title:"Mr.",name:"Siyabonga",middleName:null,surname:"Bhiya",slug:"siyabonga-bhiya",fullName:"Siyabonga Bhiya"}]},{id:"76675",title:"Introductory Chapter: Studies on Cucumber",slug:"introductory-chapter-studies-on-cucumber",totalDownloads:409,totalCrossrefCites:0,totalDimensionsCites:1,abstract:null,book:{id:"9704",slug:"cucumber-economic-values-and-its-cultivation-and-breeding",title:"Cucumber Economic Values and Its Cultivation and Breeding",fullTitle:"Cucumber Economic Values and Its Cultivation and Breeding"},signatures:"Huixia Jia and Haiping Wang",authors:[{id:"280406",title:"Dr.",name:"Haiping",middleName:null,surname:"Wang",slug:"haiping-wang",fullName:"Haiping Wang"},{id:"417904",title:"Dr.",name:"Huixia",middleName:null,surname:"Jia",slug:"huixia-jia",fullName:"Huixia Jia"}]},{id:"64176",title:"Tropical Forage Legumes in India: Status and Scope for Sustaining Livestock Production",slug:"tropical-forage-legumes-in-india-status-and-scope-for-sustaining-livestock-production",totalDownloads:1996,totalCrossrefCites:3,totalDimensionsCites:5,abstract:"Livestock contributes enormously in food and nutritional security apart from livelihood security to rural population all over the world. India has the largest number of livestock, representing over 17% of world population. Availability of forage legumes is essential for better animal health, production and increasing the nutritive value of forage-based rations, besides providing a source of biological nitrogen fixation for enriching soil, reducing land degradation and mitigating climate change. However, supply of quality green fodder in India is extremely precarious, and the gap is huge against demand. The major fodder legume crops cultivated in India are Medicago sativa, Trifolium alexandrinum, Vigna unguiculata, Vigna umbellate and range legumes are Stylosanthes spp., Desmanthus virgatus, and Clitoria ternatea. Indian subcontinent represents wide spectrum of eco-climates and reported diversity of 21 forage legumes genera viz., Desmodium, Lablab, Stylosanthes, Vigna, Macroptelium, Centrosema and browse plants Leucaena, Sesbania, Albizia, Bauhinia, Cassia, Grewia, etc. Diversity of forage legumes were collected (>3200 accessions), evaluated and sources for different biotic and abiotic stress tolerance were identified, apart from >50 cultivars developed. Considering these aspects, tropical legumes for livestock production, soil health and ecosystem services, diversity, evaluation and breeding for improved varieties are discussed in this chapter.",book:{id:"7491",slug:"forage-groups",title:"Forage Groups",fullTitle:"Forage Groups"},signatures:"Tejveer Singh, Srinivasan Ramakrishnan, Sanat Kumar Mahanta,\nVikas C. Tyagi and Ajoy Kumar Roy",authors:[{id:"254954",title:"Dr.",name:"Srinivasan",middleName:null,surname:"Ramakrishnan",slug:"srinivasan-ramakrishnan",fullName:"Srinivasan Ramakrishnan"},{id:"254958",title:"Dr.",name:"Tejveer",middleName:null,surname:"Singh",slug:"tejveer-singh",fullName:"Tejveer Singh"},{id:"254959",title:"Dr.",name:"Sanath Kumar",middleName:null,surname:"Mahanta",slug:"sanath-kumar-mahanta",fullName:"Sanath Kumar Mahanta"},{id:"254960",title:"Dr.",name:"Vikas",middleName:null,surname:"Tyagi",slug:"vikas-tyagi",fullName:"Vikas Tyagi"},{id:"254961",title:"Dr.",name:"A.K.",middleName:null,surname:"Roy",slug:"a.k.-roy",fullName:"A.K. Roy"}]}],onlineFirstChaptersFilter:{topicId:"372",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:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:287,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:10,numberOfPublishedChapters:103,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:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:10,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{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"}}}},{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"}}}}]},series:{item:{id:"13",title:"Veterinary Medicine and Science",doi:"10.5772/intechopen.73681",issn:"2632-0517",scope:"Paralleling similar advances in the medical field, astounding advances occurred in Veterinary Medicine and Science in recent decades. These advances have helped foster better support for animal health, more humane animal production, and a better understanding of the physiology of endangered species to improve the assisted reproductive technologies or the pathogenesis of certain diseases, where animals can be used as models for human diseases (like cancer, degenerative diseases or fertility), and even as a guarantee of public health. Bridging Human, Animal, and Environmental health, the holistic and integrative “One Health” concept intimately associates the developments within those fields, projecting its advancements into practice. This book series aims to tackle various animal-related medicine and sciences fields, providing thematic volumes consisting of high-quality significant research directed to researchers and postgraduates. It aims to give us a glimpse into the new accomplishments in the Veterinary Medicine and Science field. By addressing hot topics in veterinary sciences, we aim to gather authoritative texts within each issue of this series, providing in-depth overviews and analysis for graduates, academics, and practitioners and foreseeing a deeper understanding of the subject. Forthcoming texts, written and edited by experienced researchers from both industry and academia, will also discuss scientific challenges faced today in Veterinary Medicine and Science. In brief, we hope that books in this series will provide accessible references for those interested or working in this field and encourage learning in a range of different topics.",coverUrl:"https://cdn.intechopen.com/series/covers/13.jpg",latestPublicationDate:"May 18th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:10,editor:{id:"38652",title:"Dr.",name:"Rita",middleName:null,surname:"Payan-Carreira",slug:"rita-payan-carreira",fullName:"Rita Payan-Carreira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRiFPQA0/Profile_Picture_1614601496313",biography:"Rita Payan Carreira earned her Veterinary Degree from the Faculty of Veterinary Medicine in Lisbon, Portugal, in 1985. She obtained her Ph.D. in Veterinary Sciences from the University of Trás-os-Montes e Alto Douro, Portugal. After almost 32 years of teaching at the University of Trás-os-Montes and Alto Douro, she recently moved to the University of Évora, Department of Veterinary Medicine, where she teaches in the field of Animal Reproduction and Clinics. Her primary research areas include the molecular markers of the endometrial cycle and the embryo–maternal interaction, including oxidative stress and the reproductive physiology and disorders of sexual development, besides the molecular determinants of male and female fertility. She often supervises students preparing their master's or doctoral theses. She is also a frequent referee for various journals.",institutionString:null,institution:{name:"University of Évora",institutionURL:null,country:{name:"Portugal"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:3,paginationItems:[{id:"19",title:"Animal Science",coverUrl:"https://cdn.intechopen.com/series_topics/covers/19.jpg",isOpenForSubmission:!0,editor:{id:"259298",title:"Dr.",name:"Edward",middleName:null,surname:"Narayan",slug:"edward-narayan",fullName:"Edward Narayan",profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",biography:"Dr. Edward Narayan graduated with Ph.D. degree in Biology from the University of the South Pacific and pioneered non-invasive reproductive and stress endocrinology tools for amphibians - the novel development and validation of non-invasive enzyme immunoassays for the evaluation of reproductive hormonal cycle and stress hormone responses to environmental stressors. \nDr. Narayan leads the Stress Lab (Comparative Physiology and Endocrinology) at the University of Queensland. A dynamic career research platform which is based on the thematic areas of comparative vertebrate physiology, stress endocrinology, reproductive endocrinology, animal health and welfare, and conservation biology. \nEdward has supervised 40 research students and published over 60 peer reviewed research.",institutionString:null,institution:{name:"University of Queensland",institutionURL:null,country:{name:"Australia"}}},editorTwo:null,editorThree:null},{id:"20",title:"Animal Nutrition",coverUrl:"https://cdn.intechopen.com/series_topics/covers/20.jpg",isOpenForSubmission:!0,editor:{id:"175967",title:"Dr.",name:"Manuel",middleName:null,surname:"Gonzalez Ronquillo",slug:"manuel-gonzalez-ronquillo",fullName:"Manuel Gonzalez Ronquillo",profilePictureURL:"https://mts.intechopen.com/storage/users/175967/images/system/175967.png",biography:"Dr. Manuel González Ronquillo obtained his doctorate degree from the University of Zaragoza, Spain, in 2001. He is a research professor at the Faculty of Veterinary Medicine and Animal Husbandry, Autonomous University of the State of Mexico. He is also a level-2 researcher. He received a Fulbright-Garcia Robles fellowship for a postdoctoral stay at the US Dairy Forage Research Center, Madison, Wisconsin, USA in 2008–2009. He received grants from Alianza del Pacifico for a stay at the University of Magallanes, Chile, in 2014, and from Consejo Nacional de Ciencia y Tecnología (CONACyT) to work in the Food and Agriculture Organization’s Animal Production and Health Division (AGA), Rome, Italy, in 2014–2015. He has collaborated with researchers from different countries and published ninety-eight journal articles. He teaches various degree courses in zootechnics, sheep production, and agricultural sciences and natural resources.\n\nDr. Ronquillo’s research focuses on the evaluation of sustainable animal diets (StAnD), using native resources of the region, decreasing carbon footprint, and applying meta-analysis and mathematical models for a better understanding of animal production.",institutionString:null,institution:{name:"Universidad Autónoma del Estado de México",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null},{id:"28",title:"Animal Reproductive Biology and Technology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/28.jpg",isOpenForSubmission:!0,editor:{id:"177225",title:"Prof.",name:"Rosa Maria Lino Neto",middleName:null,surname:"Pereira",slug:"rosa-maria-lino-neto-pereira",fullName:"Rosa Maria Lino Neto Pereira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bS9wkQAC/Profile_Picture_1624519982291",biography:"Rosa Maria Lino Neto Pereira (DVM, MsC, PhD and) is currently a researcher at the Genetic Resources and Biotechnology Unit of the National Institute of Agrarian and Veterinarian Research (INIAV, Portugal). She is the head of the Reproduction and Embryology Laboratories and was lecturer of Reproduction and Reproductive Biotechnologies at Veterinary Medicine Faculty. She has over 25 years of experience working in reproductive biology and biotechnology areas with a special emphasis on embryo and gamete cryopreservation, for research and animal genetic resources conservation, leading research projects with several peer-reviewed papers. Rosa Pereira is member of the ERFP-FAO Ex situ Working Group and of the Management Commission of the Portuguese Animal Germplasm Bank.",institutionString:"The National Institute for Agricultural and Veterinary Research. Portugal",institution:null},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:19,paginationItems:[{id:"81793",title:"Canine parvovirus-2: An Emerging Threat to Young Pets",doi:"10.5772/intechopen.104846",signatures:"Mithilesh Singh, Rajendran Manikandan, Ujjwal Kumar De, Vishal Chander, Babul Rudra Paul, Saravanan Ramakrishnan and Darshini Maramreddy",slug:"canine-parvovirus-2-an-emerging-threat-to-young-pets",totalDownloads:6,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Recent Advances in Canine Medicine",coverURL:"https://cdn.intechopen.com/books/images_new/11580.jpg",subseries:{id:"19",title:"Animal Science"}}},{id:"81271",title:"The Diversity of Parvovirus Telomeres",doi:"10.5772/intechopen.102684",signatures:"Marianne Laugel, Emilie Lecomte, Eduard Ayuso, Oumeya Adjali, Mathieu Mével and Magalie Penaud-Budloo",slug:"the-diversity-of-parvovirus-telomeres",totalDownloads:23,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Recent Advances in Canine Medicine",coverURL:"https://cdn.intechopen.com/books/images_new/11580.jpg",subseries:{id:"19",title:"Animal Science"}}},{id:"79909",title:"Cryopreservation Methods and Frontiers in the Art of Freezing Life in Animal Models",doi:"10.5772/intechopen.101750",signatures:"Feda S. Aljaser",slug:"cryopreservation-methods-and-frontiers-in-the-art-of-freezing-life-in-animal-models",totalDownloads:170,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Animal Reproduction",coverURL:"https://cdn.intechopen.com/books/images_new/10664.jpg",subseries:{id:"28",title:"Animal Reproductive Biology and Technology"}}},{id:"79782",title:"Avian Reproduction",doi:"10.5772/intechopen.101185",signatures:"Kingsley Omogiade Idahor",slug:"avian-reproduction",totalDownloads:151,totalCrossrefCites:0,totalDimensionsCites:0,authors:[{name:"Kingsley O.",surname:"Idahor"}],book:{title:"Animal Reproduction",coverURL:"https://cdn.intechopen.com/books/images_new/10664.jpg",subseries:{id:"28",title:"Animal Reproductive Biology and Technology"}}}]},overviewPagePublishedBooks:{paginationCount:10,paginationItems:[{type:"book",id:"7233",title:"New Insights into Theriogenology",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7233.jpg",slug:"new-insights-into-theriogenology",publishedDate:"December 5th 2018",editedByType:"Edited by",bookSignature:"Rita Payan-Carreira",hash:"74f4147e3fb214dd050e5edd3aaf53bc",volumeInSeries:1,fullTitle:"New Insights into Theriogenology",editors:[{id:"38652",title:"Dr.",name:"Rita",middleName:null,surname:"Payan-Carreira",slug:"rita-payan-carreira",fullName:"Rita Payan-Carreira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRiFPQA0/Profile_Picture_1614601496313",biography:"Rita Payan Carreira earned her Veterinary Degree from the Faculty of Veterinary Medicine in Lisbon, Portugal, in 1985. She obtained her Ph.D. in Veterinary Sciences from the University of Trás-os-Montes e Alto Douro, Portugal. After almost 32 years of teaching at the University of Trás-os-Montes and Alto Douro, she recently moved to the University of Évora, Department of Veterinary Medicine, where she teaches in the field of Animal Reproduction and Clinics. Her primary research areas include the molecular markers of the endometrial cycle and the embryo–maternal interaction, including oxidative stress and the reproductive physiology and disorders of sexual development, besides the molecular determinants of male and female fertility. She often supervises students preparing their master's or doctoral theses. She is also a frequent referee for various journals.",institutionString:null,institution:{name:"University of Évora",institutionURL:null,country:{name:"Portugal"}}}]},{type:"book",id:"7144",title:"Veterinary Anatomy and Physiology",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7144.jpg",slug:"veterinary-anatomy-and-physiology",publishedDate:"March 13th 2019",editedByType:"Edited by",bookSignature:"Catrin Sian Rutland and Valentina Kubale",hash:"75cdacb570e0e6d15a5f6e69640d87c9",volumeInSeries:2,fullTitle:"Veterinary Anatomy and Physiology",editors:[{id:"202192",title:"Dr.",name:"Catrin",middleName:null,surname:"Rutland",slug:"catrin-rutland",fullName:"Catrin Rutland",profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",biography:"Catrin Rutland is an Associate Professor of Anatomy and Developmental Genetics at the University of Nottingham, UK. She obtained a BSc from the University of Derby, England, a master’s degree from Technische Universität München, Germany, and a Ph.D. from the University of Nottingham. She undertook a post-doctoral research fellowship in the School of Medicine before accepting tenure in Veterinary Medicine and Science. Dr. Rutland also obtained an MMedSci (Medical Education) and a Postgraduate Certificate in Higher Education (PGCHE). She is the author of more than sixty peer-reviewed journal articles, twelve books/book chapters, and more than 100 research abstracts in cardiovascular biology and oncology. She is a board member of the European Association of Veterinary Anatomists, Fellow of the Anatomical Society, and Senior Fellow of the Higher Education Academy. Dr. Rutland has also written popular science books for the public. https://orcid.org/0000-0002-2009-4898. www.nottingham.ac.uk/vet/people/catrin.rutland",institutionString:null,institution:{name:"University of Nottingham",institutionURL:null,country:{name:"United Kingdom"}}}]},{type:"book",id:"8524",title:"Lactation in Farm Animals",subtitle:"Biology, Physiological Basis, Nutritional Requirements, and Modelization",coverURL:"https://cdn.intechopen.com/books/images_new/8524.jpg",slug:"lactation-in-farm-animals-biology-physiological-basis-nutritional-requirements-and-modelization",publishedDate:"January 22nd 2020",editedByType:"Edited by",bookSignature:"Naceur M'Hamdi",hash:"2aa2a9a0ec13040bbf0455e34625504e",volumeInSeries:3,fullTitle:"Lactation in Farm Animals - Biology, Physiological Basis, Nutritional Requirements, and Modelization",editors:[{id:"73376",title:"Dr.",name:"Naceur",middleName:null,surname:"M'Hamdi",slug:"naceur-m'hamdi",fullName:"Naceur M'Hamdi",profilePictureURL:"https://mts.intechopen.com/storage/users/73376/images/system/73376.jpg",biography:"Naceur M’HAMDI is Associate Professor at the National Agronomic Institute of Tunisia, University of Carthage. He is also Member of the Laboratory of genetic, animal and feed resource and member of Animal science Department of INAT. He graduated from Higher School of Agriculture of Mateur, University of Carthage, in 2002 and completed his masters in 2006. Dr. M’HAMDI completed his PhD thesis in Genetic welfare indicators of dairy cattle at Higher Institute of Agronomy of Chott-Meriem, University of Sousse, in 2011. He worked as assistant Professor of Genetic, biostatistics and animal biotechnology at INAT since 2013.",institutionString:null,institution:null}]},{type:"book",id:"8460",title:"Reproductive Biology and Technology in Animals",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/8460.jpg",slug:"reproductive-biology-and-technology-in-animals",publishedDate:"April 15th 2020",editedByType:"Edited by",bookSignature:"Juan Carlos Gardón Poggi and Katy Satué Ambrojo",hash:"32ef5fe73998dd723d308225d756fa1e",volumeInSeries:4,fullTitle:"Reproductive Biology and Technology in Animals",editors:[{id:"251314",title:"Dr.",name:"Juan Carlos",middleName:null,surname:"Gardón",slug:"juan-carlos-gardon",fullName:"Juan Carlos Gardón",profilePictureURL:"https://mts.intechopen.com/storage/users/251314/images/system/251314.jpeg",biography:"Juan Carlos Gardón Poggi received University degree from the Faculty of Agrarian Science in Argentina, in 1983. Also he received Masters Degree and PhD from Córdoba University, Spain. He is currently a Professor at the Catholic University of Valencia San Vicente Mártir, at the Department of Medicine and Animal Surgery. He teaches diverse courses in the field of Animal Reproduction and he is the Director of the Veterinary Farm. He also participates in academic postgraduate activities at the Veterinary Faculty of Murcia University, Spain. His research areas include animal physiology, physiology and biotechnology of reproduction either in males or females, the study of gametes under in vitro conditions and the use of ultrasound as a complement to physiological studies and development of applied biotechnologies. Routinely, he supervises students preparing their doctoral, master thesis or final degree projects.",institutionString:"Catholic University of Valencia San Vicente Mártir, Spain",institution:null}]}]},openForSubmissionBooks:{paginationCount:1,paginationItems:[{id:"11601",title:"Econometrics - Recent Advances and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/11601.jpg",hash:"bc8ab49e2cf436c217a49ca8c12a22eb",secondStepPassed:!0,currentStepOfPublishingProcess:3,submissionDeadline:"May 13th 2022",isOpenForSubmission:!0,editors:[{id:"452331",title:"Dr.",name:"Brian",surname:"Sloboda",slug:"brian-sloboda",fullName:"Brian Sloboda"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},onlineFirstChapters:{paginationCount:0,paginationItems:[]},subseriesFiltersForOFChapters:[],publishedBooks:{paginationCount:1,paginationItems:[{type:"book",id:"11392",title:"Leadership in a Changing World",subtitle:"A Multidimensional Perspective",coverURL:"https://cdn.intechopen.com/books/images_new/11392.jpg",slug:"leadership-in-a-changing-world-a-multidimensional-perspective",publishedDate:"May 11th 2022",editedByType:"Edited by",bookSignature:"Muhammad Mohiuddin, Bilal Khalid, Md. Samim Al Azad and Slimane Ed-dafali",hash:"86a6d33cf601587e591064ce92effc02",volumeInSeries:1,fullTitle:"Leadership in a Changing World - A Multidimensional Perspective",editors:[{id:"418514",title:"Dr.",name:"Muhammad",middleName:null,surname:"Mohiuddin",slug:"muhammad-mohiuddin",fullName:"Muhammad Mohiuddin",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000038UqSfQAK/Profile_Picture_2022-05-13T10:39:03.jpg",institutionString:null,institution:{name:"Université Laval",institutionURL:null,country:{name:"Canada"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},subseriesFiltersForPublishedBooks:[{group:"subseries",caption:"Business and Management",value:86,count:1}],publicationYearFilters:[{group:"publicationYear",caption:"2022",value:2022,count:1}],authors:{paginationCount:148,paginationItems:[{id:"165328",title:"Dr.",name:"Vahid",middleName:null,surname:"Asadpour",slug:"vahid-asadpour",fullName:"Vahid Asadpour",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/165328/images/system/165328.jpg",biography:"Vahid Asadpour, MS, Ph.D., is currently with the Department of Research and Evaluation, Kaiser Permanente Southern California. He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,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",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,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},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356823",title:"MSc.",name:"Seonghee",middleName:null,surname:"Min",slug:"seonghee-min",fullName:"Seonghee Min",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Daegu University",country:{name:"Korea, South"}}},{id:"353307",title:"Prof.",name:"Yoosoo",middleName:null,surname:"Oh",slug:"yoosoo-oh",fullName:"Yoosoo Oh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:"Yoosoo Oh received his Bachelor's degree in the Department of Electronics and Engineering from Kyungpook National University in 2002. He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. His research interests include Activity Fusion & Reasoning, Machine Learning, Context-aware Middleware, Human-Computer Interaction, etc.",institutionString:null,institution:{name:"Daegu Gyeongbuk Institute of Science and Technology",country:{name:"Korea, South"}}},{id:"262719",title:"Dr.",name:"Esma",middleName:null,surname:"Ergüner Özkoç",slug:"esma-erguner-ozkoc",fullName:"Esma Ergüner Özkoç",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Başkent University",country:{name:"Turkey"}}},{id:"346530",title:"Dr.",name:"Ibrahim",middleName:null,surname:"Kaya",slug:"ibrahim-kaya",fullName:"Ibrahim Kaya",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"419199",title:"Dr.",name:"Qun",middleName:null,surname:"Yang",slug:"qun-yang",fullName:"Qun Yang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Auckland",country:{name:"New Zealand"}}},{id:"351158",title:"Prof.",name:"David W.",middleName:null,surname:"Anderson",slug:"david-w.-anderson",fullName:"David W. Anderson",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Calgary",country:{name:"Canada"}}}]}},subseries:{item:{id:"92",type:"subseries",title:"Health and Wellbeing",keywords:"Ecology, Ecological, Nature, Health, Wellbeing, Health production",scope:"\r\n\tSustainable approaches to health and wellbeing in our COVID 19 recovery needs to focus on ecological approaches that prioritize our relationships with each other, and include engagement with nature, the arts and our heritage. This will ensure that we discover ways to live in our world that allows us and other beings to flourish. We can no longer rely on medicalized approaches to health that wait for people to become ill before attempting to treat them. We need to live in harmony with nature and rediscover the beauty and balance in our everyday lives and surroundings, which contribute to our well-being and that of all other creatures on the planet. This topic will provide insights and knowledge into how to achieve this change in health care that is based on ecologically sustainable practices.
",coverUrl:"https://cdn.intechopen.com/series_topics/covers/92.jpg",hasOnlineFirst:!1,hasPublishedBooks:!1,annualVolume:11976,editor:{id:"348225",title:"Prof.",name:"Ann",middleName:null,surname:"Hemingway",slug:"ann-hemingway",fullName:"Ann Hemingway",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035LZFoQAO/Profile_Picture_2022-04-11T14:55:40.jpg",biography:"Professor Hemingway is a public health researcher, Bournemouth University, undertaking international and UK research focused on reducing inequalities in health outcomes for marginalised and excluded populations and more recently focused on equine assisted interventions.",institutionString:null,institution:{name:"Bournemouth University",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null,series:{id:"24",title:"Sustainable Development",doi:"10.5772/intechopen.100361",issn:null},editorialBoard:[{id:"169536",title:"Dr.",name:"David",middleName:null,surname:"Claborn",slug:"david-claborn",fullName:"David Claborn",profilePictureURL:"https://mts.intechopen.com/storage/users/169536/images/system/169536.jpeg",institutionString:null,institution:{name:"Missouri State University",institutionURL:null,country:{name:"United States of America"}}},{id:"248594",title:"Ph.D.",name:"Jasneth",middleName:null,surname:"Mullings",slug:"jasneth-mullings",fullName:"Jasneth Mullings",profilePictureURL:"https://mts.intechopen.com/storage/users/248594/images/system/248594.jpeg",institutionString:"The University Of The West Indies - Mona Campus, Jamaica",institution:null},{id:"331299",title:"Prof.",name:"Pei-Shan",middleName:null,surname:"Liao",slug:"pei-shan-liao",fullName:"Pei-Shan Liao",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000032Fh2FQAS/Profile_Picture_2022-03-18T09:39:41.jpg",institutionString:"Research Center for Humanities and Social Sciences, Academia Sinica, Taiwan",institution:null}]},onlineFirstChapters:{paginationCount:1,paginationItems:[{id:"81831",title:"Deep Network Model and Regression Analysis using OLS Method for Predicting Lung Vital Capacity",doi:"10.5772/intechopen.104737",signatures:"Harun Sümbül",slug:"deep-network-model-and-regression-analysis-using-ols-method-for-predicting-lung-vital-capacity",totalDownloads:2,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Decision Science - Recent Advances and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/11604.jpg",subseries:{id:"86",title:"Business and Management"}}}]},publishedBooks:{paginationCount:2,paginationItems:[{type:"book",id:"9883",title:"Biosensors",subtitle:"Current and Novel Strategies for Biosensing",coverURL:"https://cdn.intechopen.com/books/images_new/9883.jpg",slug:"biosensors-current-and-novel-strategies-for-biosensing",publishedDate:"May 5th 2021",editedByType:"Edited by",bookSignature:"Luis Jesús Villarreal-Gómez and Ana Leticia Iglesias",hash:"028f3e5dbf9c32590183ac4b4f0a2825",volumeInSeries:11,fullTitle:"Biosensors - Current and Novel Strategies for Biosensing",editors:[{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",slug:"luis-villarreal-gomez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",institutionString:null,institution:{name:"Autonomous University of Baja California",institutionURL:null,country:{name:"Mexico"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"6843",title:"Biomechanics",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/6843.jpg",slug:"biomechanics",publishedDate:"January 30th 2019",editedByType:"Edited by",bookSignature:"Hadi Mohammadi",hash:"85132976010be1d7f3dbd88662b785e5",volumeInSeries:4,fullTitle:"Biomechanics",editors:[{id:"212432",title:"Prof.",name:"Hadi",middleName:null,surname:"Mohammadi",slug:"hadi-mohammadi",fullName:"Hadi Mohammadi",profilePictureURL:"https://mts.intechopen.com/storage/users/212432/images/system/212432.jpeg",institutionString:"University of British Columbia",institution:{name:"University of British Columbia",institutionURL:null,country:{name:"Canada"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},testimonialsList:[{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"}}}},{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:"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"}}}}]},submityourwork:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:287,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:10,numberOfPublishedChapters:103,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:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:10,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],subseriesList:[{id:"4",title:"Fungal Infectious Diseases",scope:"Fungi are ubiquitous and there are almost no non-pathogenic fungi. Fungal infectious illness prevalence and prognosis are determined by the exposure between fungi and host, host immunological state, fungal virulence, and early and accurate diagnosis and treatment. \r\nPatients with both congenital and acquired immunodeficiency are more likely to be infected with opportunistic mycosis. Fungal infectious disease outbreaks are common during the post- disaster rebuilding era, which is characterised by high population density, migration, and poor health and medical conditions.\r\nSystemic or local fungal infection is mainly associated with the fungi directly inhaled or inoculated in the environment during the disaster. The most common fungal infection pathways are human to human (anthropophilic), animal to human (zoophilic), and environment to human (soilophile). Diseases are common as a result of widespread exposure to pathogenic fungus dispersed into the environment. \r\nFungi that are both common and emerging are intertwined. In Southeast Asia, for example, Talaromyces marneffei is an important pathogenic thermally dimorphic fungus that causes systemic mycosis. Widespread fungal infections with complicated and variable clinical manifestations, such as Candida auris infection resistant to several antifungal medicines, Covid-19 associated with Trichoderma, and terbinafine resistant dermatophytosis in India, are among the most serious disorders. \r\nInappropriate local or systemic use of glucocorticoids, as well as their immunosuppressive effects, may lead to changes in fungal infection spectrum and clinical characteristics. Hematogenous candidiasis is a worrisome issue that affects people all over the world, particularly ICU patients. CARD9 deficiency and fungal infection have been major issues in recent years. Invasive aspergillosis is associated with a significant death rate. Special attention should be given to endemic fungal infections, identification of important clinical fungal infections advanced in yeasts, filamentous fungal infections, skin mycobiome and fungal genomes, and immunity to fungal infections.\r\nIn addition, endemic fungal diseases or uncommon fungal infections caused by Mucor irregularis, dermatophytosis, Malassezia, cryptococcosis, chromoblastomycosis, coccidiosis, blastomycosis, histoplasmosis, sporotrichosis, and other fungi, should be monitored. \r\nThis topic includes the research progress on the etiology and pathogenesis of fungal infections, new methods of isolation and identification, rapid detection, drug sensitivity testing, new antifungal drugs, schemes and case series reports. It will provide significant opportunities and support for scientists, clinical doctors, mycologists, antifungal drug researchers, public health practitioners, and epidemiologists from all over the world to share new research, ideas and solutions to promote the development and progress of medical mycology.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/4.jpg",keywords:"Emerging Fungal Pathogens, Invasive Infections, Epidemiology, Cell Membrane, Fungal Virulence, Diagnosis, Treatment"},{id:"5",title:"Parasitic Infectious Diseases",scope:"Parasitic diseases have evolved alongside their human hosts. In many cases, these diseases have adapted so well that they have developed efficient resilience methods in the human host and can live in the host for years. Others, particularly some blood parasites, can cause very acute diseases and are responsible for millions of deaths yearly. Many parasitic diseases are classified as neglected tropical diseases because they have received minimal funding over recent years and, in many cases, are under-reported despite the critical role they play in morbidity and mortality among human and animal hosts. The current topic, Parasitic Infectious Diseases, in the Infectious Diseases Series aims to publish studies on the systematics, epidemiology, molecular biology, genomics, pathogenesis, genetics, and clinical significance of parasitic diseases from blood borne to intestinal parasites as well as zoonotic parasites. We hope to cover all aspects of parasitic diseases to provide current and relevant research data on these very important diseases. In the current atmosphere of the Coronavirus pandemic, communities around the world, particularly those in different underdeveloped areas, are faced with the growing challenges of the high burden of parasitic diseases. At the same time, they are faced with the Covid-19 pandemic leading to what some authors have called potential syndemics that might worsen the outcome of such infections. Therefore, it is important to conduct studies that examine parasitic infections in the context of the coronavirus pandemic for the benefit of all communities to help foster more informed decisions for the betterment of human and animal health.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",keywords:"Blood Borne Parasites, Intestinal Parasites, Protozoa, Helminths, Arthropods, Water Born Parasites, Epidemiology, Molecular Biology, Systematics, Genomics, Proteomics, Ecology"},{id:"6",title:"Viral Infectious Diseases",scope:"The Viral Infectious Diseases Book Series aims to provide a comprehensive overview of recent research trends and discoveries in various viral infectious diseases emerging around the globe. The emergence of any viral disease is hard to anticipate, which often contributes to death. A viral disease can be defined as an infectious disease that has recently appeared within a population or exists in nature with the rapid expansion of incident or geographic range. This series will focus on various crucial factors related to emerging viral infectious diseases, including epidemiology, pathogenesis, host immune response, clinical manifestations, diagnosis, treatment, and clinical recommendations for managing viral infectious diseases, highlighting the recent issues with future directions for effective therapeutic strategies.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/6.jpg",keywords:"Novel Viruses, Virus Transmission, Virus Evolution, Molecular Virology, Control and Prevention, Virus-host Interaction"}],annualVolumeBook:{},thematicCollection:[],selectedSeries:null,selectedSubseries:null},seriesLanding:{item:null},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/79605",hash:"",query:{},params:{id:"79605"},fullPath:"/chapters/79605",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)}()