\r\n\tThis book intends to provide the reader with a comprehensive overview of the current state-of-the-art novel imaging techniques by focusing on the most important evidence-based developments in this area.
",isbn:null,printIsbn:null,pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"d9159ce31733bf78cc2a79b18c225994",bookSignature:"Dr. Gabriel Cismaru",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11867.jpg",keywords:"Hypertrophic Cardiomyopathy, Dilated Cardiomyopathy, Restrictive Cardiomyopathy, Transesophageal Echocardiography, Intracardiac Echocardiography, 3-Dimensional Echocardiography, Adult Congenital Heart Disease, Tetralogy of Fallot, Transposition of the Great Vessels, Coronary Artery Disease, Risk Stratification, Revascularization",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 21st 2022",dateEndSecondStepPublish:"May 19th 2022",dateEndThirdStepPublish:"July 18th 2022",dateEndFourthStepPublish:"October 6th 2022",dateEndFifthStepPublish:"December 5th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"3 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Dr. Cismaru Gabriel is an Assistant Professor at the University of Medicine and Pharmacy Cluj-Napoca, certified in Cardiology. After completing his certification in cardiology, Dr. Cismaru began his electrophysiology fellowship at the Institut Lorrain du Coeur et des Vaisseaux Louis Mathieu. He has authored or co-authored peer-reviewed articles and book chapters in the field of cardiac pacing, defibrillation, electrophysiological study, and catheter ablation.",coeditorOneBiosketch:"Raluca Tomoaia is an MD, Ph.D. in novel techniques in Echocardiography at the University of Medicine and Pharmacy in Cluj-Napoca, Romania., assistant professor, and a researcher in echocardiography and cardiovascular imaging.",coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"191888",title:"Dr.",name:"Gabriel",middleName:null,surname:"Cismaru",slug:"gabriel-cismaru",fullName:"Gabriel Cismaru",profilePictureURL:"https://mts.intechopen.com/storage/users/191888/images/system/191888.png",biography:"Dr. Cismaru Gabriel is an assistant professor at the Cluj-Napoca University of Medicine and Pharmacy, Romania, where he has been qualified in cardiology since 2011. He obtained his Ph.D. in medicine with a research thesis on electrophysiology and pro-arrhythmic drugs in 2016. Dr. Cismaru began his electrophysiology fellowship at the Institut Lorrain du Coeur et des Vaisseaux Louis Mathieu, France, after finishing his cardiology certification with stages in Clermont-Ferrand and Dinan, France. He began working at the Rehabilitation Hospital\\'s Electrophysiology Laboratory in Cluj-Napoca in 2011. He is an experienced operator who can implant pacemakers, CRTs, and ICDs, as well as perform catheter ablation of supraventricular and ventricular arrhythmias such as ventricular tachycardia and ventricular fibrillation. He has been qualified in pediatric cardiology since 2022, and he regularly performs device implantation and catheter ablation in children. Dr. Cismaru has authored or co-authored peer-reviewed publications and book chapters on cardiac pacing, defibrillation, electrophysiological studies, and catheter ablation.",institutionString:"Iuliu Hațieganu University of Medicine and Pharmacy",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"7",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"Iuliu Hațieganu University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"16",title:"Medicine",slug:"medicine"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:null},relatedBooks:[{type:"book",id:"5970",title:"Bedside Procedures",subtitle:null,isOpenForSubmission:!1,hash:"ba56d3036ac823a7155f40e4a02c030d",slug:"bedside-procedures",bookSignature:"Gabriel Cismaru",coverURL:"https://cdn.intechopen.com/books/images_new/5970.jpg",editedByType:"Edited by",editors:[{id:"191888",title:"Dr.",name:"Gabriel",surname:"Cismaru",slug:"gabriel-cismaru",fullName:"Gabriel Cismaru"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"9064",title:"Epidemiology and Treatment of Atrial Fibrillation",subtitle:null,isOpenForSubmission:!1,hash:"1cd6bf2b3181eb82446347fbe478a2bc",slug:"epidemiology-and-treatment-of-atrial-fibrillation",bookSignature:"Gabriel Cismaru and Keith Andrew Chan",coverURL:"https://cdn.intechopen.com/books/images_new/9064.jpg",editedByType:"Edited by",editors:[{id:"191888",title:"Dr.",name:"Gabriel",surname:"Cismaru",slug:"gabriel-cismaru",fullName:"Gabriel Cismaru"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6550",title:"Cohort Studies in Health Sciences",subtitle:null,isOpenForSubmission:!1,hash:"01df5aba4fff1a84b37a2fdafa809660",slug:"cohort-studies-in-health-sciences",bookSignature:"R. 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The clothing comes after nutrition and has got many selection factors such as social, economic, environmental, and physiological. The main material of clothing is textile. Textiles always have played an important role in protecting from different environmental conditions and making feel comfortable. Nowadays, the textile industry has to accelerate research on innovative and attractive products in many fields from agriculture to space. Recently, construction sector is one of the fields that used these innovative textile materials, and these textile materials are named “Buildtech.” Buildtech products are defined as membrane, lightweight and massive construction materials, etc. for engineering and industrial buildings [1].
\nConstruction is improving from the earliest times. At ancient times, people built kinds of buildings to shelter. To reduce cracking and to increase bearing capacity of buildings, they added hairs and vegetables in the mortar. Later with technology, construction materials changed. Different materials were used for each period. In the early period, mortar was used, but later various materials such as wood, stone, marble, and steel were used. Finally, with the discovery of concrete, its use in the construction industry has become widespread [2, 3].
\nSince 1800s, quick developments in construction materials technology have allowed civil engineers to achieve impressive gains in the safety, economy, and functionality of structures built to serve the common needs of the community [4]. Today, in the construction sector, steel-reinforced concrete is most important, and it is used widely for structural applications. For several decades, textile-reinforced concrete (TRC) has been innovative material for constructions. TRC can be used instead of conventional composite-building materials for many new applications [5]. TRC is a new composite material consisting of a fine-grained concrete matrix and corrosion-resistant high-performance multifilament yarns such as alkali-resistant glass, carbon, basalt, and polymer [6]. These raw materials are used to produce different textile forms for TRC. Those suited for the reinforcement of concrete matrix are yarns, warp knits (plain, circular or three-dimensional), multi-plies (plain or circular), and woven [7]. Thanks to these textile materials, production of TRC leads to thin structural elements with high strength, high durability, and corrosion resistance [8].
\nIn the present architectures and constructions, there is a specific trend toward innovative structures of high-quality materials such as carbon, glass fibers, basalt, and aramid that continuously increase the requirements placed on the construction materials and that demand a continuous development of their properties. Using nonmetallic high-performance fibers as concrete reinforcement allows for the production of thin and light-weight elements with high durability and the potential of economic savings. These advantages together with the high scope of design options given to the architects have made glass-fiber–reinforced concrete (GFRC) a widespread construction material around the world. A disadvantage of the reinforcement with chopped strands (for example, AR-glass or PP) is the partial unorientated distribution of the fibers over the total cross-section, reducing their effectiveness. In contrast to steel reinforcement, AR glass or carbon fibers in the textile can be positioned in almost any direction and afterward nearly perfectly adopted to the orientation of the applied load. It is thus possible to create an extremely effective reinforcement. The use of corrosion-resistant technical textiles reduces concrete covers significantly and thus allows for light weight and thin concrete structures [9, 10].
\nGlass fiber is widely used in construction since 1950s. The cementitious matrix has highly alkaline environment (pH-value > 12.5), and glass fiber has poor corrosion resistance in a highly alkaline environment. Despite the glass fiber being considered as a reinforcement of cementitious materials for several decades, because of poor alkaline resistance, the limitation of structural applications still remains. For this reason, the alkali-resistant glass fiber (ARG) was preferably designed to reinforce cementitious matrices. Enhanced mainly by a high percentage of zirconia (ZrO2 > 15% by weight) content, the alkali-resistant glass fiber (ARG) was designed to reinforce cementitious matrices that have been used in construction and civil engineering since the late 1960s. Despite ARG being more resistant to highly alkaline environment than normal glass fiber, many attempts have been made to modify either matrix or fiber by adding fillers or by surface coatings of polymer and carbon layers. In the composites sector, a coating is known as a widespread method of providing corrosion protection in order to improve the durability of engineering structures. For alkali-resistant glass fibers (ARGs), multifunctional sizings are required to provide the surface protection, abrasion resistance, and strength maintenance in the concrete. However, both durability in alkali environment and economic considerations have limited the commercial use of these materials. For enhancing the long-term resistance of glass-fiber–reinforced cement products, it is thus very important to develop an inexpensive and applicable coating to modify the ARG fiber surface and examine how the coatings interact with the surrounding cementitious matrix [11–13].
\nIn the production of TRC, the application of polymer coating to the textile materials improves the utilization of mechanical performance and handling properties as well. Generally, thermoset resin is used as a coating material. Coating process is very long term and tough, and also, cost of coating materials is very expensive. Hence, researchers have searched for alternative methods to provide the surface protection, abrasion resistance, and strength maintenance for textile materials in the concrete.
\nIn this study, hybrid yarn was used in the production of TRC as a reinforcement material. First of all, hybrid yarn was produced with braiding technology. In the hybrid yarn production, while alkali-resistant glass fibers (ARGs) were used as a reinforcement material, polypropylene filament (PP) is used as a matrix material. After production of hybrid yarn was heated in the oven, melted polymer covered alkali-resistant glass fibers (ARGs). Melted hybrid yarns were used in the production of TRC. All TRC samples were tested to see the effect of the hybrid yarn on the strength of the concrete. Information about hybrid yarn technology and braiding technology will be mentioned in the following sections.
\nFor many years, thermoset and thermoplastic composites are often used to produce advanced lightweight structures. Thermoset prepregs, which were previously a combination of resin and fiber, as preformed materials must be kept refrigerated to interrupt the ongoing curing reaction [14]. Generally, in many composite processing methods, the matrix is added to the fibers at the time of manufacture. By using additives and fillers, it improves the surface quality of the part, alleviates some processing problems and reduces the total cost [15, 16].
\nIn the thermoset composite materials, the curing process requires heat and pressure. To improve its usability, the prepreg is typically stored in a freezer and then cured at a high temperature. In the 1960s prepregs produced necessitated quite high cure temperatures and had very short out-lives; nowadays, it is possible for them to be stored in a freezer, have an out-life of possibly several months and a cure temperature of between 50 and 200°C. Prepregs tend to be epoxy resins reinforced with carbon, glass, or aramid fibers. High-temperature polymer composites are occasionally used as other matrix materials [16].
\nIn thermoplastic polymers, the organic molecular units are bonded together. They differ from thermoset polymers in this way. Thermoplastic composites are preferred for their ability to be formed by heat at low pressure. While thermosets are produced with manual production, the thermoplastic processing techniques are machine friendly and enable short processing cycles [14, 17].
\nThermoplastic polymers are divided into two groups of amorphous and semicrystalline polymers according to their molecular structure. While amorphous polymers have randomly oriented molecular chains, in semicrystalline polymers, the chains are symmetric enough to be fitted into an ordered crystalline state. Because of the large molecular chain length, complete crystallinity cannot be obtained, and both crystalline and amorphous regions coexist in the solid. When a polymer is cooled, there are some changes. From above, the melt temperature (
When a thermoplastic polymer is heated above the
Polymer direct melt extrusion or pultrusion that reinforce fibers are pulled through a resin;
Solvents or low viscosity precursors; and
Close contact between the fiber and the matrix [14].
Although there are novel thermoplastic composite manufacturing methods such as co-compression molding of textile preforms with a flowable core and overinjection molding of stamped preforms, close contact between the fiber and the matrix is widely used in textile composites [17].
\nHybrid yarns can be produced with many methods such as ring spinning, commingling, and braiding. These methods provide uniform distribution of matrix and reinforcement fibers as well as reduce the damage to reinforcing fibers [19]. The information on methods will be given following sections.
\nClassical ring spinning machines have a pair of rollers for the drafting, twisting, and winding mechanism and can use only one type of fiber to manufacture spun yarns. Present ring spinning machines need some modifications to manufacture hybrid yarns. Generally, core ring spinning on a modified ring frame needs with it special guiding devices and feeder rollers (Figure 1). With slight modifications and little investment, this technique can be used to produce hybrid yarns by the core spinning system, and these machines are most commonly used to produce core-spun yarns containing elastane as a core. While one type of fiber is used in classical ring spinning, staple fibers and filaments can be used in core ring spinning [19–21].
\nModified core spinning system [
As in ring spinning, rotor spinning needs some modifications to manufacture hybrid yarns. In the modified rotor spinning machine, hybrid yarns can be produced by combining staple fibers with filament yarns under varying filament overfeeds. Figure 2 shows the modified rotor and the diagram of spinning process. In this machine, the staple fiber and the continuous filament were fed into the rotor to produce hybrid yarn. This technology has a tendency to introduce filament misalignment in the core yarn, which is not desirable for composite application [19, 22].
\n(a) Diagram of spinning process (b) Modified rotor [
This spinning system can be used to manufacture core-spun hybrid yarns for thermoplastic composites. In classical DREF spinning, the completely opened fiber strand is brought into engagement with the rotating open end of the yarn by a perforated drum. Attachment and strengthening of the fibers are accomplished by continuously rotating the yarn in the converging region of the two drums. The spinning of the yarn takes place with the help of the rotational movement of the two cylinders, and the friction on the cylinder surface contributes to this [19].
\nThis system can be used to fabricate a hybrid yarn consisting of reinforcement filaments of high-performance fibers in the core and staple fibers of the thermoplastic matrix material such as polyester, poly-ether-etherketone or liquid crystal polymers in the sheath. Hasan et al. studied the application of carbon filament yarn (CFY)–based conductive hybrid yarn as the heating element in a textile-reinforced concrete structure. In order to manufacture this hybrid yarn, they used DREF-2000 spinning technique. Carbon fiber was used as a core, and a mixture of short glass and polypropylene fibers was used as a sheath. Figure 3 shows friction spinning machine and cross-section of hybrid yarn [19, 23].
\n(a) DREF-2000 friction spinning machine (Fehrer AG, Linz, Austria), (b) Sketch and (c) Microscopic image of the cross-section and (d) Longitudinal view of the FS hybrid yarn produced to be used as the heating element [
In this system, a roving or a sliver feedstock passes through a hollow spindle without receiving true twist. The continuous filament yarn, which is mounted on the hollow shaft, is passed through the hollow spindle as shown and is wound on the central component (Figure 4). Hence, this filament strand is wound around the twistless strand in the core. With some modifications, this system can manufacture hybrid yarn using filament for both core and wrapping. When thermoplastic filament is used as a wrap yarn, during the consolidation process, this component will melt and it becomes part of the matrix [19, 24].
\nFilament wrap spinning [
Air-jet texturing is completely a mechanical process, and reinforcing and matrix filaments are combined by air. In this process, the air nozzle is the heart of the air-jet texturing process. Supply yarn is overfed into the turbulent zone, and here, compressed air is guided mainly parallel to the yarn path. This compressed air flow opens up filament bundles and then builds mingling sections (Figure 5), as a result, mixed filament yarn is manufactured, but, while filaments mix, some loops occur [19, 25].
\nAir-jet yarn texturing [
Like air-jet texturing, in the commingling process, compressed air is used to generate entanglements in and among filaments. In this process, two or more yarns, such as carbon or glass, and a thermoplastic matrix yarn are converted to a single strand. Commingled yarn consists of blended two parts combination, reinforcing filament yarn and filament yarn spun from thermoplastic polymers. In the beginning, the multifilament yarns are scattered by compressed air, and then they are often mixed with each other in parallel. Unlike air-jet texturing, loops do not occur, and generally, filaments are parallel to each other (Figure 6). Thanks to the changes in main production parameters such as degree of overfeeding, production speed, and air pressure, it can be manufactured as a hybrid yarn in the desired filament distribution. It is possible to obtain a homogenous distribution of reinforcement and matrix, and this reduces the mass transfer distance of the matrix during processing. In this way, a fast and complete impregnation of the reinforcement filaments is possible [19, 25, 26].
\nHybrid yarn by commingling process [
In this simple process, the two components of the hybrid yarns are brought together side by side, as shown in Figure 7. Parallel winding is also called tape winding or the side-by-side technique. In this process, the continuous reinforcement filaments and the thermoplastic filaments are combined in the form of a band. Then, after the heating process, this tape is converted to a composite material [19, 24].
\nStructure of side-by-side hybrid yarn [
In this process, hybrid yarns consist of discontinuous thermoplastic fibers and filaments. They are brought together into a well-oriented coherent bundle by the insertion of a degree of twist. Thanks to this technology, a broken fiber feed on one or two tows of high-modulus filaments such as carbon or glass and also produces highly consistent yarns with minimal fiber damage. When heating is applied, the composite structure is formed by melting the thermoplastic structure [19, 24].
\nThis technology has been developed in Germany for geotextiles. In this technology, a type of circular knitting machine is used to manufacture hybrid yarn. In this machine, a parallel arrangement of matrix fibers is surrounded by parallel reinforcing filaments. In this hybrid yarn, while the core consists of matrix and reinforcing filaments, the knitted sheath consists of only matrix fibers [19, 24].
\nSchappe technology is same as stretch breaking. This technology is used to obtain more bulky and higher tenacity hybrid yarn from long fibers. These types of hybrid yarns are composed of a mixture of discontinuous reinforcing and matrix filaments surrounded by continuous matrix filaments. As this consists of transforming the continuous filaments put on top of long fibers, this technique removes the weak points of the fibers [19, 24].
\nBraiding has been used since 1800s to produce textile fabrics and is generally used for producing narrow rope-like materials. In this technology, three or more strands of filaments or yarns are interlaced diagonally like in a Maypole dance. The filament bundles forming the braid are combined in a manner similar to the formation of the ribbon to form the braided yarn. In this way, tubular woven structure occurs. Researchers have focused braiding technology to meet new demands in composite production [27, 28]. Details of braided yarn and its production are discussed in Section 3.
\nThe type of hybrid yarn production technique is very important on the fiber distribution in the hybrid yarn. The homogeneity of component fiber distribution within the matrix is strongly dependent on the hybrid yarn structure. Fiber distribution is influential in the quality of the composites, as it will affect the flow distance of thermoplastic polymer when heat is applied. When they are ranked according to the flow distance, the flow distance increased in the order of Schappe yarn, commingled yarn, Kemafil yarn, side-by-side yarn, and lastly, friction spun yarn. This means that the best degree of mixing of reinforcing and matrix are Schappe and commingled hybrid yarns fibers. Hybrid yarn structures are shown in Table 1 [19].
\n\nIn composites manufacturing, the molten thermoplastic must flow through the capillaries between the reinforcement filaments. Theoretically, this can be achieved with a commingling method. In our previous studies, this method was tried, and some results were realized. It produced hybrid yarns approximately 1100 tex from 640 tex AR-glass roving and 400 tex polypropylene (PP) filament. In textile reinforcement concrete, generally 2400 tex or more linear density is used as a reinforcement material. In our study with approximately 1100 tex, it could not get a good homogeneity of fiber distribution. A further development of higher linear density with homogeneous fiber content is necessary. Therefore, the braiding yarn was used in this study as a new approach in order to obtain hybrid yarn for TRC production. Also, braiding technology offers minimum or no damage to the reinforcement fiber bundles, when compared to using commingled yarns.
\nBraiding has been used for 200 years to produce textile fabrics. In this process, three or more threads are interlaced diagonally to the product axis [28, 29].
\nAs the threads pass diagonally, they make an angle between 1 and 89° with the product axis of the yarns, usually within the range of 30–80° (Figure 8). This angle is called the braiding angle and is the most important geometric parameter of braided structures [29].
\nStructure of braided yarn [
It is possible to produce a thicker, wider, or stronger product or cover some profiles in braiding technology. These products can be linear products (ropes), curved or plane shell, or solid structures (one, two, or three-dimensional (3D) fabrics) with constant or variable cross-section and of closed or open appearance. Researchers have focused braiding technology to meet new demands in composite production [28, 29].
\nThere are several different classifications of the braided processes, machines, and products. Generally, braided products of maypole braiding machines are divided into two main groups: Braids with constant cross-section and variable cross-section form. While there is flat braiding, tubular braiding, and form braiding for braids with constant cross-section, there are only 3D Braids for variable cross-section form. Each group has normal or biaxial braiding and triaxial braiding types. The classical and mainly used braiding machines are known as maypole braiding machines. This name will always be used where these machines have to be distinguished from the other (spiral, lace) braiding machines. Details of these classification are mentioned in the following sections. In the future, it is expected that with the increasing speed of electromechanical drives, maypole braiding machines with switches (3D braiding) will be able to work continuously [29].
\nBraiding has been used for many years in different application areas such as braiding of yarns, flowers, and hair. The application areas for braided products are widespread such as medical items, electric cables, ropes, laces, the huge ropes, and tubes used in the marine oilfield sector. Also, use of braids is growing in the production of fiber-reinforced composites. All the products are manufactured in the same way, i.e., by the interlacing of yarns at an angle of about 40–60° to the main product axis. Figure 9 shows the principle of hand braiding for a simple braid of three yarns. Initial structure (Figure 9(a)) is transformed to the interlacement in two steps:\n
In the left two yarns, the outer left yarn goes over the next one (Figure 9(b));
In the right two yarns, the right yarn goes over the left next nearest yarn (Figure 9(c)), and it repeats in the same way [29].
Principle of hand braiding with three yarns [
Flat braiding structures can be obtained when basic braiding is applied to more yarns, e.g. 5, 7. Flat braiding principle is seen in Figure 10(a,b). In this case, at the first step, all left pairs interlace so that the left goes over the right, and in the second step, all right pairs interlace so that the right yarn goes over the left [29].
\nHand braiding of odd (here seven) yarns (a,b) and of even (here six) yarns(c,d) [
Flat braiding is possible for both odd and even numbers of yarns. Figure 10(c,d) shows the sequence in the case of six yarns: at every second step, yarns from both the left and right sides stay and wait, while when using an odd number of yarns, only one yarn per cycle stays unused during the interlacement [29].
\nIn this system, even number of yarns arranged around a circle interlace for production of tubular braids or ropes (Figure 11). The sequence of steps in this case is the same as for the flat yarn. In order to produce a regular structure, all yarns have to be kept under constant tension during the braiding process [29].
\nTubular braids (rope). (a) Geometrical model and (b) Single (upper part) and Tripple (over-) braided part [
The interlacing sequence in the case of tubular braiding is same in flat braiding, but unlike flat braiding, all the yarn ends are located around a circle (Figure 12). The process can be described as follows:\n
Interlacement of the left yarn over the right yarn in each pair (the yarn at position 1 goes over the yarn at position 2 and the yarn from position 2 goes to position 1, but interlacing under the first yarn; the pairs are 1–2; 3–4; 5–6; 7–8).
After shifting the positions (the pairs become 8–1; 2–3; 4–5; 6–7), the right yarn goes over the left yarn in each pair [29].
Sequence for tubular braiding [
In tubular braiding, the beam is slowly covered from the top down. In braiding terminology, the beam is called the core (if it had a regular form) or the mandrel (if it had a more complex geometry), and this braiding system is used today for overbraiding of profiles with carbon or glass fiber composites for aerospace, cables, high pressure ropes, etc., for automotive and other applications [29].
\nInlay yarns can be put in between the core and the yarns. These are named differently in each every different application areas, e.g., middle ends, inlays, and triaxial braids (Figure 13) [29].
\n(a) Normal (biaxial) braids and (b) Braids with inlay yarns (triaxial) [
Inlay yarns can be inserted into all kinds of braided structures; however, the core or the mandrel requires a hollow structure and is mainly used in tubular braids (Figure 14) [29].
\nTubular braid with core and inlay yarns (triaxial) [
In industrial braiding, the machine dancer element is called a carrier, and the path of the carrier is called the track. If the motion of the dancers/carriers is analyzed carefully, it can be seen that all dancers/carriers in one direction are following the same track, while the dancers/carriers in the opposite direction follow the opposite track. Hence, for tubular braiding, there are two tracks and two systems of carriers [29].
\nThe path of the motion is determined by the track, but the carriers are moved forward by the horn gears (Figure 15). At the beginning of the process, all outer ends of the yarns are connected together at the braiding point. When the carriers start their motions, the yarns interlace together. With this move, the next piece of braid is built at the braiding point. Finally, the braid produced is finally pulled out with the help of a take-off system [29].
\nPrincipal construction of maypole braiding machine [
For different applications, such as thicker braided products of square or other cross-sectional type is required. For example, gaskets or fiber-reinforced composites can be manufactured with these products. In this case, the braiding process is called packing braiding, or 2.5D braiding (2.5D means more than the two dimensions of length and width, but less than three dimensions), or alternatively, 3D braiding (due to the braided product having thickness in all three directions). However, according to some classifications, they may also be named 3D, 4D, etc., braiding, but D means “diagonal” here. In the new generation of braiding machines, they are controlled by a computer, and the track is not constant. The carrier can change its motion and can travel along a set of connected curves, and the selection of the next curve can change dynamically during the braiding process. Thanks to diversity, the braids do not have a constant cross-section, they are called 3D braids, and the process itself is 3D braiding [3, 29].
\nThe application of braids is various from medical items to electric cable. Also, use of braids is growing in the production of fiber-reinforced composites [3, 29].
\nIf we summarize, we can classify the application fields as follows:\n
Clothing: women’s and men’s wear, outwear, underwear, shoes (laces).
Sports: aerial sports (starting rope for glider pilots), sailing (anchor ropes, sailcloth), mountain climbing (ropes), camping (tent ropes), fishing, tennis.
Home textiles: curtains (laces, cords), decoration threads.
Medical: surgery (blood veins, sewing threads, catheter), prostheses, tapes for orthopedics.
Machine engineering: fiber-reinforced materials, package seals.
Civil engineering: fiber-reinforced concrete.
Traffic: fiber-reinforced materials for aircraft and car construction, track vehicles, and shipping.
Electrical terotechnology: cables, insulation.
Household: packaging, clothesline, do-it-yourself requirements [3, 29, 30].
Replacements of mechanical controls of braiding machines by electronic controls will reduce setup times.
In future decades, even if braiding machine by electronic control will be used, mechanical carriers will surely continue to be used in a large number of applications.
Braiding machines for the production of 3-D braids to obtain larger and more complex cross sections will be developed, and they can be used for nearly every application.
Mathematical models between machine controls and the position of threads in the braid will be defined [3].
Experimental study is focused on use of braiding yarn for textile-reinforced concrete. Hybrid yarn was produced with using braiding method. Hybrid yarn to be used as reinforcement has a unique combination of reinforcement and matrix component that was produced using a tubular braiding machine consisting of 16 spindles (Figure 16). Hybrid yarn can be thought of as a single yarn, although it is composed of two components. Continuous AR-Glass roving was used as the straight inserted axial fibers, and matrix fibers (PP fibers) were braided around the reinforcing AR-Glass roving.
\nBraiding machine.
AR-Glass fiber roving (Cem-FIL® 5325 from OCV Reinforcements) and polypropylene (PP) filament yarn (Aker Textile Yarn) were used to produce hybrid yarn with braiding method. The linear density of AR-Glass is 2400 tex, and the linear density of PP filament is 666.6 dtex. To produce hybrid yarn with braiding method, 1-filament AR-Glass and 16-filament PP were used. Yarn linear density was measured according to ISO 2060. The linear density of hybrid yarn, its components, and other reinforcing components are given in Table 2.
\nYarn | \nLinear density (tex) | \n
---|---|
AR-Glass roving | \n2400 | \n
AR-Glass roving (coated with epoxy resin) | \n3840 | \n
Polypropylene (PP) filament | \n66.66 | \n
Hybrid yarn | \n3430 | \n
Carbon | \n1600 | \n
Carbon (coated with epoxy resin) | \n2560 | \n
Linear density of hybrid yarn and its component.
After the production of hybrid yarn, a hot compression molder was used to fabricate continuous fiber-reinforced thermoplastic composites. Matrix fibers were melted by heating at appropriate molding temperatures and become the matrices for the fiber-reinforced composites that easily wet out the reinforcing AR-glass roving. Figure 17 shows the view of hybrid yarn before and after heating.
\n(a) Hybrid yarn before heating (b) Hybrid yarn after heating.
Before and after heating, the cross-section of hybrid yarn was investigated on a microscope with 40× (Figure 18). It was observed that while structure of hybrid yarn was a bit loose before heating (a, b), it turned into compact structure after heating (c, d).
\nCross-section of hybrid yarn before heating (a, b), Cross-section of hybrid yarn after heating (c, d).
After hybrid yarns were prepared, coated AR-glass fibers were prepared to compare with hybrid yarn and uncoated AR-glass fibers. Epoxy resin (SR 8500/ SD 8605 from Sicomin) was applied to AR-glass fibers with roller coater. After coating, all samples were preheated and fixed at appropriate temperature and time. Figure 19 shows the view of AR-glass fibers before and after coating.
\n(a) Uncoated AR-Glass fibers (b) Coated AR-Glass fibers.
Prepared textile materials were placed in the mold for flexural test. For each sample, five yarns were placed in the mold along the long edge, and the distance between each yarn was set to 1 cm. The yarns were placed at a distance of 3 mm from bottom of the sample (Figure 20).
\nYarn position in the TRC sample.
After all the textile components were prepared, second component for TRC which is concrete was prepared as shown in the mix proportions in Table 3.
\nMix proportions | \n|
---|---|
Cement CEM I 42.5 R (c) | \n480 kg/m3 | \n
Fly ash (f) | \n240 kg/m3 | \n
Water (w) | \n284 kg/m3 | \n
w/b* | \n0.39 | \n
Superplasticizer | \n1.5% b. m. of binder | \n
Siliceous fines (0–0.3 mm) | \n642 kg/m3 | \n
Siliceous sand (0.2–0.5 mm) | \n503 kg/m3 | \n
Mix proportions of fine grained concrete.
*w/b = w/(c + f)
The mixtures were batched in the vertical axis concrete mixer (Figure 21). The cement and fly ash were dry mixed for 1 min. This was followed by the addition of fine-grained aggregate, water, and the superplasticiser, with a mixing time of 5 min. After pouring the mix into oiled molds, a vibrator was used to decrease the amount of air bubbles. The specimens were demolded after 1 day and then placed in a curing room in the special pool which its water temperature is 20°C for 27 days of curing according to TS EN 12390-2 standard. For 12 h prior to the tests, the specimens were allowed to air dry in the laboratory.
\nConcrete mixer.
For the prepared mixture, eight specimens (three 150 × 150 × 150 mm cubes for compression test and five 325 × 50 × 20 mm beams for three-point loading flexural test) were prepared. The compression tests were carried out in the UTEST compression test machine (Type UTC-5750) (Figure 22(a)) at a loading rate of 4 kN/s on the 150 × 150 × 150 mm cubes according to the requirements of TS EN 12390-3 standard. The three-point loading flexural tests were carried out in ELE flexural test machine (Model 37-6330; Figure 22(b)) at a loading rate of 0.4 kN/s on the 325 × 50 × 20 mm beams according to the requirements of TS EN 12390-5 standard. The mean values of the test results were shown in table at next section.
\n(a) Compression test machine (b) Flexural strenght test machine.
The mechanical properties of the concrete were measured with a compression test to see the strength of concrete used in the TRC production. The average compressive strength (28 days) of a cube specimen (150 × 150 × 150 mm) was taken as 52.3 MPa. This result is good for conventional concrete. This concrete mix was used in the production of all TRC samples, and different materials were used as a reinforcing component.
\nIn this study, only AR-glass roving was used to manufacture hybrid yarn with braiding technology. There is only AR-glass roving inside the braided yarn, and it is covered with PP filaments. To see the effectiveness of coating, carbon fiber (1600 tex from DOWAKSA) was used to produce TRC. The results of 3-point loading flexural test can be seen in Table 4.
\nTRC samples | \nF (MPa) | \n
---|---|
Pure concrete | \n10.05 | \n
Reinforced with uncoated AR-Glass roving | \n14.19 | \n
Reinforced with coated AR-Glass roving | \n25.32 | \n
Reinforced with heated hybrid yarn | \n15.85 | \n
Reinforced with uncoated carbon fiber | \n24.78 | \n
Reinforced with coated carbon fiber | \n40.81 | \n
Results of 3-point loading flexural test.
As seen in Table 4, each reinforcement material contributes to the flexural strength of the concrete. Commonly used AR-glass roving and carbon filaments in concrete reinforcement have contributed to flexural strength, 41.19 and 146.57%, respectively, according to without reinforcement. As expected, the epoxy resin coating also has contributed to flexural strength according to reinforcement with AR-glass roving and carbon filament, respectively, 78.44 and 64.69%. Heat-treated hybrid yarn reinforcement has contributed to a flexural strength of 57.71% according to without reinforcement. While reinforcement with epoxy resin coating has contributed to the flexural strength of 78.44%, reinforcement with heated hybrid yarn has contributed to flexural strength of 11.70% according to reinforced with AR-Glass roving. In this study, as it is known, it was seen that the epoxy resin coating provides a significant contribution. It is possible to evaluate the use of heated hybrid yarns produced by braiding technology in the production of TRC though it has contributed less than epoxy resin, since the epoxy resin cost is high and epoxy resin coating process is long and difficult.
\nIn the experimental part of this study, the braiding method for using of TRC was investigated. Tubular braiding technique was applied to produce hybrid yarns using AR-glass roving as the core reinforcement fibers and PP fibers as the matrices around AR-glass roving. At the next step, these hybrid yarns were heated, and they were used for TRC production. All prepared samples used flexural strength test. When all test results were examined:\n
Reinforcing materials such as AR-glass roving, carbon filament, and heated hybrid yarn have been found to increase the flexural strength.
Carbon filament is better than AR-glass roving to reinforce the concrete for higher flexural strength.
As expected, the epoxy resin coating also has contributed to high flexural strength according to reinforcement without coating.
Also, the application of epoxy resin coating to the textile yarn improves the utilization of mechanical performance and handling properties as well.
Although the contribution of the heated hybrid yarn is limited, it is expected that the desired results will be obtained by changes in braiding yarn production and yarn composition ratios.
This research is supported by “Scientific Research Projects Governing Unit of Çukurova University” with project number FDK-2016-6682. We would also like to thank KORD Industrial Rope and Yarn Industry and Trade Inc.—for hybrid yarn production; ÇİMSA Cement Industry and Trade Inc.—for their materials and laboratory; and Çukurova University Civil Engineering Department—for their laboratory.
\nFor optimal erythropoietic function, oxidative metabolism and cellular immunity, iron is required. Cellular iron overload induces toxicity and cell death by producing free radicals and oxidising lipids, both of which are required for cellular metabolism and aerobic respiration. Due to the lack of active iron excretory mechanisms, dietary iron absorption (12 mg/day) is tightly regulated and closely balanced against iron loss. Dietary iron is found in two forms: haem (10%) and nonhaem (ionic, 90%), and both are absorbed in the apical surface of duodenal enterocytes through different mechanisms. Iron is exported via Ferroportin 1 (the only one). Absorbed iron crosses the enterocyte’s basolateral membrane into the circulation (possible iron exporter), where it binds to transferrin and is transported to utilisation and storage sites transferrin-bound iron enters target cells via receptor-mediated endocytosis, mostly erythroid cells but also immune and hepatic cells. Senescent erythrocytes are phagocytosed by reticuloendothelial system macrophages; haem is metabolised by haem oxygenase, and the freed iron is stored as ferritin. Later, iron from macrophages will be exported and transferred to transferrin. The erythropoiesis demands (20e30 mg/day) need this internal iron cycle. When transferrin becomes saturated in iron-overload scenarios, excess iron is transported to the liver, the other principal storage organ for iron, creating a risk of free radical generation and tissue damage [1].
The fact that iron’s redox pair (Fe(II)/Fe(III) may have potentials varying from −300 to 700 mV, depending on the nature of the ligands and the surrounding environment, contributes to its use. Iron is abundant on the planet’s surface; however, it is relatively inaccessible. This is an important aspect of iron metabolism. At neutral pH and in an oxidising environment, iron exists in the three valence state, which is seen in many common microbial environments. As a result, it is extremely difficult to dissolve. The presence of iron storage and transport proteins such as ferritin (FTN), lactoflavin (LFT) and lactoflavin (LFT) limits the amount of iron available to a microorganism residing in an animal host (LFT). Despite the fact that extremely low iron concentrations of 1 mmol (5) are usually sufficient for optimal growth yields, bacteria frequently find themselves in iron-deficient environments and must waste a significant amount of energy to acquire this metal. It is also worth mentioning that bacteria can become iron-overloaded, necessitating careful monitoring of iron intake [1, 2].
Increased iron demands, insufficient external supply and increased blood loss can contribute to iron deficiency (ID) and iron deficiency anaemia. An overabundance of hepcidin hinders iron absorption and recycling in chronic inflammation, leading to hypoferremia and iron-restricted erythropoiesis (functional iron deficiency), and finally, anaemia of chronic illness (ACD), which can advance to ACD with real ID (ACD + ID). Hereditary haemochromatosis (HH type I, caused by mutations in the HFE gene) and hereditary haemochromatosis (HH type II, caused by mutations in the hemojuvelin and hepcidin genes) can both be caused by low hepcidin expression. Changes in the transferrin receptor 2 generate HH type III, whereas mutations in the ferroportin gene induce HH type IV. All of these illnesses show signs of iron excess. In iron overload scenarios, non-transferrin bound iron develops when transferrin becomes saturated. A part of this iron (labile plasma iron) is very reactive, leading to the generation of free radicals. Free radicals induce the parenchymal cell damage associated with iron overload disorders [3].
The teeth, gingiva, oral tissues and muscles are all affected by these major metabolic anomalies of iron metabolism. These processes influencing the oral cavity must be well understood in order to block future advancement and create a comprehensive rehabilitation approach for such persons, taking into consideration the numerous consequences of improper iron metabolism [4].
Owing to certain specific mechanisms (as explained inFigure 1): (1) transport mechanisms were not required for iron absorption until relatively late in evolution when the environment became oxidising and iron became insoluble, and (2) a range of sources can function as iron providers, bacterial iron assimilation happens via a variety of routes. Many bacteria, in addition, have numerous iron absorption mechanisms. This allows them to acquire iron from a variety of settings and sources. Bacteria can get iron from a number of sources, but regardless of where it comes from, it must be delivered to the cytoplasm through numerous microbial surface layers. An outside membrane, a peptidoglycan layer, and an innermost intracellular membrane are the minimum layers for Gram-negative bacteria. The periplasm, or gap between the outer and inner membranes, is where the peptidoglycan cell wall is found. Gram-positive cells, on the other hand, may only have an exterior peptidoglycan cell wall that is thick and strongly cross-linked. On the basis of the iron source and the manner in which iron is mobilised, a wide range of iron transport systems may be differentiated, although they all follow a similar pattern. Passage across the outer membrane for iron complexed to a carrier requires the presence of an outer membrane receptor protein with a syntactic domain identical to that of the iron complexed to a carrier and is iron-controlled. A receptor protein is specialised for and binds to a certain iron-carrier complex, and it is occasionally generated in large quantities only when that iron complex is accessible [5].
Gram-negative bacteria’s generalised high-affinity iron transport mechanism.) The three fundamental components are shown: (a) an outer membrane receptor protein; (b) a TonB system for activating the receptor protein; and (c) a cytoplasmic membrane-based periplasmic binding protein-dependent ABC transporter. OM stands for outer membrane; PG is for peptidoglycan; and CM stands for cytoplasmic membrane.
Second, the cytoplasmic membrane proteins TonB, ExbB and ExbD are required for iron entry into the periplasm, whether it is complexed or free. Members of the ABC super transporter family are also engaged in cytoplasmic membrane transport. The transport components, in this case, include a peripheral cytoplasmic membrane, ATPase with two copies and a distinct ATP-binding site motif, as well as two hydrophobic cytoplasmic membrane proteins. In summary, an outer membrane receptor protein, a TonB system and an ABC transporter are required for iron entrance into the cytoplasm of Gram-negative bacteria. The proton-motive force and ATP, respectively, are required for passage across the outer and cytoplasmic membranes. TonB systems have broad specificity, whereas ABC transporters recognise several iron complexes if they are physically related. Outer membrane receptor proteins bind just one particular iron complex, whereas TonB systems have broad specificity [6].
The synthesis and secretion of tiny (600–1000 Da) iron-chelating molecules known as siderophores is a significant method by which bacteria acquire iron. Siderophores are made up of ordinary amino acids, nonprotein amino acids, hydroxy acids, and their production does not need ribosomes despite the presence of amide bonds. Instead, a thiotemplate technique is used, which is quite similar to the one used to make some peptide antibiotics. The mechanism of iron release from siderophores is unknown. Free siderophores, or modified forms, are discharged into the medium when ferrisiderophores enter the cytoplasm. Enzymatic reduction of iron is considered to be the release mechanism since siderophores: (1) bind Fe(II) less readily than Fe(III); and (2) the cytoplasm is a reducing environment [7].
Microbes that can live in oxygen-depleted habitats, such as swamps, intestines and marshes, or acidic environments, where reduced iron is stable and soluble, benefit from the ferrous iron transfer. Fe(II) may enter the periplasm through holes in the outer membrane, and bacteria can transport it through the inner membrane through a number of mechanisms. Some of these cytoplasmic membrane transporters have a broad transition metal selectivity but just a weak affinity for ferrous iron. There are, however, systems that exclusively work with Fe(II) as a substrate. The feo operon encodes one such mechanism that is important in certain bacteria (feoABC) [8]. Members of the OFeT (oxidase-dependent iron transporter) family, which were initially discovered in lower eukaryotes, are another widely dispersed group of Fe(II) transporter proteins. Finally, certain aerotolerant bacteria, such as the Gram-positive
The bulk of iron in animals is found intracellularly in the form of heme (Hm). Hm, in turn, is a prosthetic group of proteins that includes haemoglobin (Hb), myoglobin and Hm-containing proteins like cytochromes. Iron assimilation routes that detect free Hm are similar to those that identify iron–siderophore complexes; they need (1) a TonB-dependent outer-membrane receptor protein; and (2) an ABC transporter for cytoplasmic membrane crossing [10]. Hm can be removed from Hb by a variety of genera. TonB-dependent Hb-binding proteins are found in the outer membranes of Neisseria and Haemophilus spp. Surprisingly, both of these taxa contain additional TonB-dependent receptors that let them get iron from Hb–Hp complexes. These Hb–Hp receptors might be made up of two distinct proteins.
Iron trafficking exemplifies the cycle economy. During erythrocyte phagocytosis, the majority of iron (20–25 mg/day) is recycled by macrophages; only 1–2 mg of iron is absorbed daily in the stomach, compensating for a loss of the same amount (Figure 2) [13]. The duodenum is the location of controlled non-heme iron uptake; nonheme iron is imported from the lumen via the apical divalent metal transporter 1 after duodenal cytochrome B reductase converts ferric to ferrous iron (DCYTBH) (DMT1). There are no known mechanisms by which heme iron absorbs more than non-heme iron. Non-utilised iron in enterocytes is either retained in ferritin (and lost by mucosal shedding) or exported to plasma through basolateral membrane ferroportin (and lost with mucosal shedding) [14].
On the luminal side of the enterocyte, the metal transporter DMT1 takes up ferrous iron that has been reduced by DCYTB. After ferrous iron is oxidised to ferric iron by hephaestin, iron not utilised inside the cell is either stored in ferritin (FT) or exported to circulating transferrin (TF) by ferroportin (FPN) (HEPH). Local hypoxia stabilises hypoxia-inducible factor (HIF)-2, which promotes the expression of the apical (DMT1) and basolateral (FPN) transporters. Heme is transformed to iron by heme oxygenase once it enters the cell by an unknown process [
Iron availability influences the expression of genes that code for proteins required for high-affinity iron absorption. Fur is a crucial regulatory protein found in most Gram-negative and Gram-positive bacteria with low GC content DNA. Fur is an Apo-repressor, a short histidine-rich polypeptide that binds DNA in the presence of its corepressor Fe(II). Fur’s negative regulation of genes does not fully explain iron’s regulatory actions. Although Fur represses most iron-regulated genes under iron-rich environments, some are positively controlled by Fur, and others are only activated by iron in the absence of Fur (Figure 3) [15].
Main iron metabolism routes in animals (based on Munoz et al.2). Key: 1, ferrireductase; 2, divalent metal transporter (DMT1); 3, haem protein carrier 1 (HPC1); 4, haem oxygenase; 5, haem exporter; 6, ferroportin (Ireg-1); 7, hephaestin/caeruloplasmin; 8, transferrin receptor-1 (TfR1); 9, transferrin receptor-1 (TfR1) complex; 10, natural resistance macrophage protein-1 (Nramp-1); 11, mitoferrin; 12, mitochondrial haem exporter (Abcb6); 13, others: bacteria, lactoferrin, haemoglobinehaptoglobin, haemehaemopexin, and so on; 14, caeruloplasmin; 15, transferrin receptor-2 (TfR2).
Transferrin binds to iron in the bloodstream and distributes it to storage and use sites. Only 30–40% of transferrin’s iron-binding capacity is used in ordinary physiological circumstances; hence, transferrin-bound iron is only w4 mg, yet it is the most significant dynamic iron pool. Transferrin-bound iron penetrates target cells, predominantly erythroid cells, but also immune and hepatic cells, via a highly specialised method of receptor-mediated endocytosis (Figure 1). Patches of cell-surface membrane bearing receptor–ligand complexes invaginate to create clathrin-coated endosomes as distinct transferrin binds to transferrin receptor 1 (TfR1) at the plasma membrane (siderosomes) [16]. A ferrireductase reduces Fe3+ to Fe2+, which is subsequently transferred to the cytoplasm by DMT1, while TfR1 is recycled to the cell membrane and transferrin is lost. Mitoferrin, a mitochondrial iron importer, is important in providing iron to ferrochelatase for insertion into protoporphyrin IX and to produce haem (the penultimate step of mitochondrial haem production) within the erythroblast (Figure 1). There are some indications that iron might be transported straight from the siderosomes to the mitochondria in growing erythroid cells. Finally, haem exporters transport haem from mitochondria to cytosol and eliminate excess haem from erythroid cells (Figure 1) [16].
As senescent erythrocytes are phagocytosed by RES macrophages, haemoglobin iron turnover is high. Haem is metabolised by haem oxygenase within the phagocytic vesicles, and the liberated Fe2+ is transported to the cytoplasm by NRAMP1 (natural resistance-associated macrophage protein-1), a transport protein related to DMT1 (Figure 1). Macrophages may also acquire iron from bacteria and apoptotic cells, as well as from plasma via the actions of DMT1 and TfR1 (Figure 1) [17]. Iron may be stored in the cells in two ways: ferritin in the cytosol and haemosiderin in the lysosomes when ferritin is broken down. Haemosiderin is found in just a small percentage of normal human iron reserves, primarily in macrophages, but it rises substantially when the body is overloaded with iron. Iron storage in macrophages is also safe since it does not cause oxidative damage. Ferroportin 1, the same iron-export protein found in the duodenal enterocyte, and caeruloplasmin2 are largely responsible for iron export from macrophages to transferrin (Figure 1) [18]. Macrophage iron recycling provides the majority of the iron necessary for the daily synthesis of 300 billion red blood cells (20–30 mg). While a result, internal iron turnover is required to satisfy the bone marrow needs for erythropoiesis, as daily absorption (1–2 mg) only balances daily loss. 1–3 The liver is the other major iron storage organ, and the production of free radicals and lipid peroxidation products in iron-overload conditions can lead to hepatic tissue damage, cirrhosis, and hepatocellular cancer [19]. TfR1 and TfR2 mediate the liver’s absorption of transferrin-bound iron from plasma (Figure 1), however, it can also get iron from non-transferrin-bound iron (through a carrier-mediated mechanism similar to DMT1), ferritin, haemoglobine–haptoglobin complexes, and haeme–haemopexin complexes. Ferroportin 1 is thought to be the sole protein that mediates the export of iron from hepatocytes, which is then oxidised by caeruloplasmin and attached to transferrin2 (Figure 1). Heart failure is the primary cause of death in individuals with untreated hereditary haemochromatosis or transfusion-associated iron overload, thus iron storage in cardiomyocytes is of significant interest. Excess iron in cardiac cells can cause oxidative stress and impair myocardial function owing to DNA damage caused by hydrogen peroxide via the Fenton reaction [20].
Body iron reserves, hypoxia, inflammation and erythropoiesis rate all influence iron absorption by duodenal enterocytes. The crypt programming model and the hepcidin model are two regulatory models that have been presented as potential contributors to iron absorption control [21].
Enterocytes in the crypts of the duodenum take up iron from the plasma via TfR1 and TfR2, according to the crypt programming hypothesis. The interaction of cytosolic iron regulatory proteins (IRPs) 1 and 2 with iron-responsive elements is controlled by intracellular iron content (IREs). IRP1 binds to the IREs of TfR1, DMT1, and ferroportin 1 mRNA in the absence of iron, stabilising the transcript, allowing translation to occur and the proteins to be synthesised. As a result, increased IRP-binding activity indicates low body iron reserves, which leads to overexpression of these proteins in the duodenum, boosting dietary iron absorption. When IRPs attach to ferritin mRNA’s IREs, the transcript’s translation is interrupted and synthesis is halted. As a result, ferritin concentrations are inversely controlled, increasing in iron-rich states and decreasing in iron-deficient conditions [22].
The hepcidin model proposes that hepcidin is produced mainly by hepatocytes in response to the iron content of the blood. Then, hepcidin is secreted into the bloodstream and interacts with villous enterocytes to regulate the rate of iron absorption by controlling the expression of ferroportin 1 at their basolateral membranes. The binding of hepcidin to ferroportin 1 initially causes Janus kinase 2-mediated tyrosine phosphorylation of the cytosolic loop of the carrier protein, phosphorylated ferroportin 1 is then internalised, dephosphorylated, ubiquitinated and ultimately degraded in the late endosome/lysosome compartment. Ferroportin 1 molecules, present in macrophages and liver, also targets for hepcidin [23].
The sensing process most likely includes local iron-induced synthesis of bone morphogenic proteins (BMPs) such as BMP6 within normal iron concentration limits. BMP6 interacts with hepatocyte cell surface BMP receptors (BMPRs) I and II, as well as the BMP coreceptor, haemojuvelin (HJV), triggering an intracellular signal by phosphorylation of small mothers against decapentaplegic (Smad) proteins. Before translocating to the nucleus and triggering hepcidin expression14, phosphorylated Smad1, Smad5 and Smad8 form a complex with the shared mediator Smad4 (Figure 2). The soluble form of HJV (sHJV), whose release (HJV shedding) is prevented by rising extracellular iron concentrations, is thought to compete with its membrane-anchored counterpart for BMPR binding, resulting in iron-sensitive hepcidin expression16 (Figure 2). Other mediators and modulators, including Smad6 and Smad7, may be stimulated by iron, and these mediators and modulators appear to dampen the signal for hepcidin activation (Figure 2) [24].
Cancer, rheumatoid arthritis, inflammatory bowel disease, congestive heart failure, sepsis and chronic renal failure are all known to induce persistent inflammation. This anaemia might be caused by the underlying process activating the immune system, as well as immunological and inflammatory cytokines such as tumour necrosis factor alpha (TNFa), interferon-gamma (IFNg), interleukins (IL) 1, 6, 8, and 10. Several pathophysiological processes (cytokines) may be implicated in anaemia of chronic disease (ACD) (Figure 3) [25]:
Dyserythropoiesis, red blood cell destruction, and increased erythrophagocytosis cause a reduction in red blood cell half-life (TNFa).
Inadequate EPO responses for the degree of anaemia in most, but not all, patients, such as those with juvenile chronic arthritis with systemic start (IL-1 and TNFa).
Erythroid cell response to EPO is impaired (IFNg, IL-1, TNFa, hepcidin).
Erythroid cell growth and differentiation are slowed (IFNg, IL-1, TNFa, and a1-antitrypsin).
Pathological iron homoeostasis caused by increased DMT1 (IFNg) and TfR (IL-10) expression in macrophages, decreased ferroportin 1 expression in enterocytes (inhibition of iron absorption) and macrophages (inhibition of iron recirculation), and increased ferritin production ‘(TNFa, IL-1, IL-6, IL-10) (increased iron storage) Inflammatory cytokines like IL-6’ activate Janus kinases, which phosphorylate Stat3 and activate it, which upregulate hepcidin transcription. Stat3 translocation to the nucleus and binding to the Stat response element in the proximal promoter of the hepcidin gene leads to enhanced hepcidin release. This element appears to be controlled by Smad activation, which is necessary for complete promoter activity, via the adjacent BMP-responsive element. The SmadeStat complex, which puts the distal and proximal areas of the hepcidin promoter into physical contact, is hypothesised to interact with a distal BMP responsive element location. As a result, it appears that Smad signalling is critical for the appropriate staging of the inflammatory response. Stat3 activation has also been demonstrated to modulate hepcidin levels without producing inflammation (for example, people with glycogen storage disease type 1a who had hepatic adenomas overexpressed hepcidin due to Stat3 activation)46 (Figure 2). Stress mechanisms signalling through the cellular endoplasmic reticulum unfolded protein response have also been shown to stimulate hepcidin production. The hepatic acute-phase response to LPS, IL-6 and IL-1b has been related to the unfolded protein response, suggesting that hepcidin gene expression may be regulated by another layer of endogenous regulation during inflammation (Figure 2). Low blood iron and reduced transferrin saturation are produced by iron diversion to the RES (functional iron deficit, FID), iron-restricted erythropoiesis, and mild-to-moderate anaemia, despite normal or high serum ferritin levels [26].
In the human body, there is a balance between iron absorption, iron transit and iron storage under physiological circumstances. ID and iron deficiency anaemia (IDA) can be caused by a combination of three risk factors: higher iron needs, restricted external supply and increased blood loss [27]. There are two types of ID: absolute and functional. Iron reserves are reduced in absolute ID; in functional iron deficiency (FID), iron stores are full but cannot be mobilised as quickly as needed from the RES macrophages to the bone marrow. Diagnostic tests with values are given in Table 1.
Laboratory tests | Conventional units |
---|---|
Serum Iron | 50–150 ug/dl |
Transferrin | 200–360 mg/dl |
Transferrin Saturation | 20–50% |
Ferritin (Ft) | 30–300 ng/ml |
Soluble transferrin receptors | 0.76–1.76 mg/l |
Ratio of sTfR to Serum Ft | <1 |
Haemoglobin | 12–16 g/dl (women); 13–17 g/dl (men) |
MCV | 80–100 fl |
Red Cell Distribution | 11–15 |
MCH | 28–35 pg |
Hypochromic red cells | <5% |
Reticulocyte haemoglobin content | 28–35 pg |
Depicting tests required for determination of iron metabolism anaemia.
Patients with low Hb (13 g/dl for males and 12 g/dl for women), TSAT (20%) and ferritin (30 ng/ml) concentrations but no indications of inflammation should be evaluated to have IDA. Instead of ‘mean corpuscular volume (MCV)’, the MCH has emerged as the most significant marker for red cells for identifying ID in RBCs, which are circulating (Figure 1). MCV is a generally available and reliable measurement, although it is a late indication in individuals who are not bleeding actively [28]. When MCV is low, thalassaemia must be considered a differential diagnosis. When there is a concurrent folate deficiency or vitamin B12, reticulocytosis post-bleeding, early response to oral iron therapy, alcohol use, or moderate myelodysplasia, individuals may present with IDA but no microcytosis. Human serum contains a shortened, ‘soluble version of the transferrin receptor (sTfR)’, whose concentration is proportional to the total number of cell surface transferrin receptors [29]. Although the amount is not defined and depends on which reagent kit is used, normal median values are 1.2–3.0 mg/l. Even during chronic illness anaemia, increased sTfR values suggest ID. Elevated erythropoietic activity without ID, during reticulocytic crises, and in congenital dyserythropoietic anaemias are all examples of increased sTfR levels. Lower sTfR levels, on the other hand, might indicate a reduction in the number of erythroid progenitors. Despite the fact that sTfR levels in simple IDA are generally high or extremely high, they are not usually necessary for diagnosis [30].
The following should be present in patients with chronic disease anaemia (ACD), also known as anaemia of inflammation: Hb concentration of 13 g/dl for men and 12 g/dl for women; a low TSAT (20%) but normal or increased serum ferritin concentration (>100 ng/ml) or low serum ferritin concentration (30e100 ng/ml) Evidence of chronic inflammation (e.g. elevated CRP); and a s ACD, like FID, is common in people with inflammatory illness but no visible blood loss (e.g. rheumatoid arthritis, renal failure or chronic hepatitis) [31].
Levels of Hepcidin are excessively lower-degree of overload of iron in idiopathic iron overload illness and primary haemochromatosis. This is due to mutations in the genes that code for ‘HFE (haemochromatosis type 1)’, ‘haemojuvelin (HJV; juvenile haemochromatosis 2a)’, and ‘transferrin receptor 2 (TfR2; haemochromatosis type 3)’; these mutations cause hepcidin synthesis to be dysregulated [32]. The only exceptions are mutations that disrupt hepcidin or ferroportin (juvenile haemochromatosis 2b) (haemochromatosis type 4). Low plasma hepcidin causes high ferroportin levels, allowing for greater iron absorption, hepatic iron overload and low iron levels in macrophages. In addition, non-transferrin bound iron emerges as transferrin gets saturated in iron-overload situations. A portion of this labile plasma iron is extremely reactive, resulting in the production of free radicals. Despite the fact that the HFE gene has at least 32 mutations, the most prevalent form of haemochromatosis type 1 is caused by the missense Cys282Tyr mutation. Haemochromatosis type 1 is a disease with a wide range of penetrance and heterogeneity, although the Cys282Tyr mutation is found in the great majority of people with the disorder. Because the Cys282Tyr mutant HFE protein is unable to bind b2 microglobulin, it does not reach the cell membrane, resulting in a misfolded, non-functional protein. Iron overload can be caused by mutations in the ferroportin gene (haemochromatosis type 4) that result in the loss of iron-export capacity, hyperferritinaemia with no increase in transferrin saturation, and macrophage iron overload, or a loss of hepcidin-binding activity, which has been linked to iron overload. Plasma hepcidin levels rise in cases of secondary iron overload-induced by persistent transfusion treatment (e.g. severe thalassemia, aplastic anaemia, etc.), prompting ferroportin breakdown. Increased amounts of diferric transferrin, which are elevated in iron overload, promote TfR2 expression at the hepatocyte membrane. When diferric transferrin binds to TfR2, HJV cleavage by furin is blocked, inhibiting the release of soluble HJV and resulting in enhanced cell-surface HJV-mediated response to BMPs and higher hepcidin levels. Iron absorption from the stomach is restricted, macrophage export is inhibited, and iron storage is increased when ferroportin levels are low [33].
Measurements indicating iron depletion in the body and measurements indicating iron-deficient red cell production are the two types of laboratory tests used to investigate ID (Table 1). The right mix of these blood tests will aid in determining the precise diagnosis of anaemia and ID status (Figure 1).
The first step in diagnosing iron overload is to suspect it (e.g. dark skin, fatigue, arthralgia, cardiomyopathy, hepatomegaly, endocrine disorder, etc). However, aberrant TSAT (>45 per cent) and/or elevated ferritin in serum (>200 ng/ml in women, >300 ng/ml in males) are commonly discovered. In practice, normal transferrin saturation can be used to rule out the possibility of iron overload. The sole exception is the occurrence of an inflammatory state, which might disguise an increase in TSAT, which is why CRP and transferrin saturation should be checked jointly. In non-iron-overload circumstances, such as significant cytolysis (eg. acute hepatitis), which raises plasma serum iron and/or hepatic failure, reduces plasma transferrin concentrations, elevated TSAT can be detected. Other causes of hyperferritinaemia should be checked out in the presence of elevated ferritin in serum but not increased TSAT (eg. cell necrosis, alcohol, inflammation, metabolic disorder, etc). The clinical context, as well as testing Hb (to rule out chronic inflammatory anaemia), transaminases, cancer and prothrombin index, can readily remove any difficulties in interpreting TSAT readings (to exclude hepatic disease) [34].
The second diagnostic step, particularly in Caucasian individuals, is to rule out HFE mutations in gene. Because further mutations in HFE are exceedingly rare, the HFE genotype is frequently regarded as ‘wild type’ in clinical practice, once the presence of the two most prevalent (Cys282Tyr and His63Gly) mutations has been ruled out. Nonetheless, the potential of a family problem should be addressed at all times: a dominant disorder is usually indicative of ferroportin disease [35].
Before beginning costly and time-consuming searches for mutations in additional genes, the third diagnostic step is to establish increased total body iron. The exact molecular diagnosis, which needs evidence of the nucleotide mutation at the DNA level, is the fourth stage. However, the efficacy of molecular diagnostics is frequently questioned because it is costly, time-demanding and, in certain situations, unable to produce a precise diagnosis [36].
The most prevalent kind of anaemia is iron deficiency anaemia (IDA), which affects more women than males. Due to persistent blood loss associated with heavy menstrual flow, it is estimated that 20% of women of reproductive age in the United States are iron deficient. Furthermore, 2% of adult males are iron deficient due to persistent blood loss caused by gastrointestinal illnesses including peptic ulcer, diverticulosis, or cancer [37].
Atrophic glossitis (AG), extensive oral mucosal atrophy and pain or burning feeling of the oral mucosa are some of the oral symptoms and indicators. However, it is yet unknown if IDA patients may experience distinct oral signs and, if so, what percentage of IDA patients experience these oral manifestations. Burning sensation of the oral mucosa (76.0 per cent), lingual varicosity (56.0 per cent), dry mouth (49.3%), OLP (33.3 per cent), AG (26.7 per cent), RAU (25.3 per cent), numbness of the oral mucosa (21.3 per cent) and taste dysfunction (12.0 per cent) were the most commonly manifested oral manifestations. IDA patients had considerably greater rates of all oral symptoms, such as oral mucosa burning, lingual varicosity, dry mouth, oral mucosa numbness, and taste impairment than healthy controls.
Anaemia sufferers have low haemoglobin levels, which means they do not get enough oxygen to their mouth mucosa, causing it to atrophy. Iron deficiency can induce oral mucosa atrophy because iron is required for proper oral epithelial cell activity, and in an iron deficiency condition, oral epithelial cells turn over more quickly, resulting in an atrophic or immature mucosa. The health of the oral epithelium is linked to iron and vitamin B12.
In BMS patients, long-term dry mouth and iron or vitamin B12 deficiency may produce at least partial atrophy of the tongue epithelium, however, the change is so mild that clinical visual examination cannot detect it. As a result, spicy chemicals in saliva might readily permeate past the atrophic epithelium into the subepithelial connective tissue of the tongue mucosa, irritate free sensory nerve endings, and cause tongue burning and numbness. A minor sign of BMS was loss or malfunction of taste. Because the taste cells in taste buds can only sense dissolved compounds, the chemical components should be dissolved in saliva.
The majority of BMS patients were found to have xerostomia. In BMS patients, decreased saliva output leads to a loss or malfunction of taste. Oral candidiasis, vitamin B12 insufficiency, iron deficiency and medicine have all been linked to taste loss or malfunction. Femiano et al. have looked into the causes of taste disturbance in BMS patients. Of the 142 BMS patients, 61 had a documented history of drug use that interfered with taste perception, 35 had pathologies or a past history of drug use that were known to impact the gustatory system, and the other 46 had no related disease or regular drug use [38].
Varicosities are abnormally dilated, and convoluted veins are observed on the ventral surface of the tongue in elderly people due to a decrease in connective tissue tone that supports the veins. Furthermore, xerostomia is a prevalent issue that affects 25% of the elderly population. Xerostomia can be caused by a variety of developmental, iatrogenic, systemic and local causes. Older individuals, on the other hand, are more likely to develop xerostomia, as a result of pharmaceuticals, as they are more likely to use drugs that induce xerostomia to treat their systemic or psychotic diseases. The average age of 399 BMS patients in Wang Y et al’s research was 59.7 years. As a result, it is not unexpected that 92.5 per cent of 399 BMS patients had lingual varicosity and 75.7 per cent had dry mouth. Oral candidiasis is more common in persons with xerostomia because normal and adequate saliva can offer cleaning and antibacterial action. We believe that the candidiasis on the tongue surfaces of BMS patients is attributable, at least in part, to the high prevalence of dry mouth (75.7%).
In most therapeutic situations, oral iron supplementation is sufficient. In the absence of inflammation or severe continuous blood loss, oral iron, usually in the form of ferrous salts, can be used to treat anaemia if large dosages are tolerated. Although traditional knowledge holds that up to 200 mg of elemental iron per day is necessary to treat IDA, this is erroneous and lesser amounts can be effective as well.
Early research suggested that taking iron with vitamin C might help with iron absorption because more ferrous iron is kept in the solution. However, findings suggest that co-administration of these drugs might cause serious toxicity in the gastrointestinal tract. Furthermore, while taking oral iron away from meals is often suggested to increase absorption, it also increases gastric intolerance, which reduces compliance. Furthermore, some antibiotics (primarily quinolones, doxycycline, tetracycline, chloramphenicol, or penicillamine), proton pump inhibitors, and anti-acid medication (aluminium, bicarbonate, zinc, or magnesium salts), levodopa, levothyroxine, cholestyramine, phytates (high-fibre diets), soy products, ibandronate, etc.
Non-absorbed iron salts, on the other hand, can produce a variety of highly reactive oxygen species, such as hypochlorous acid, superoxides and peroxides, which can cause digestive intolerance, resulting in nausea, flatulence, abdominal pain, diarrhoea or constipation and black or tarry stools, as well as relapsed inflammatory bowel disease. As a result, smaller iron salt dosages (e.g. 50–100 mg elemental iron) should be advised. The Ganzoni method may be used to determine the total iron deficiency (TID): TID (mg) 14 weight (kg) 3 (ideal Hb e actual Hb) (g/dl) 3 0.24 + depot iron (500 mg). An individual, weighing 70 kg, with a haemoglobin level of 9 g/dl would have a body iron shortfall of around 1400 mg, according to this calculation.
Parenteral iron is traditionally used to treat intolerance, contraindications, or an insufficient response to oral iron. However, in circumstances when there is a limited time until surgery, severe anaemia, especially if it is accompanied by considerable continuous bleeding or the use of erythropoiesis-stimulating drugs, parenteral iron is now an effective therapy. Because they provide various benefits over oral supplements, modern intravenous iron formulations have emerged as safe and effective options for anaemia therapy. In normal persons, intravenous iron delivery allows for a fivefold erythropoietic response to substantial blood loss anaemia,19 Hb begins to rise after a few days, the percentage of responsive patients increases, and iron reserves are replenished. Increasing iron reserves is beneficial, especially for patients using erythropoiesis-stimulating drugs. In clinical practice, iron gluconate, iron sucrose, high molecular weight iron dextran (HMWID), low molecular weight iron dextran (LMWID), ferric carboxymaltose, iron isomaltoside 1000 and Ferumoxytol are the most commonly used products.
The link between oral microbiota and IE (infectious endocarditis) has long been known. Infectious endocarditis is caused by opportunistic infections in normal oral flora entering the circulation through everyday mouth washing or invasive dental treatments. In vitro iron deficiency causes a dramatic change in the oral microbiota community, with higher proportions of taxa linked to infective endocarditis. Iron deficiency anaemia is utilised as an in vivo model to evaluate the association between insufficient iron availability, oral microbiota, and the risk of IE, as well as to perform population amplification research. In a research by Xi R et al., 24 patients with primary iron deficiency anaemia (IDA) from the haematology department of West China Hospital, Sichuan University, and 24 healthy controls were included from 2015.6 to 2016.6. The dental plaque microbiota of 24 IDA (iron-deficiency anaemia) patients and 24 healthy controls were compared using high-throughput sequencing. Internal diversity in the oral flora is reduced as a result of iron shortage. Corynebacterium, Neisseria, Cardiobacterium, Capnocytophaga and Aggregatibacter had considerably greater proportions in controls, whereas Lactococcus, Enterococcus, Lactobacillus, Pseudomonas and Moraxella had significantly larger proportions in the IDA group (P 0.05). Lactococcus, Enterococcus, Pseudomonas and Moraxella relative abundances were substantially inversely linked with serum ferritin concentrations (P 0.05). In vivo iron shortage altered the organisation of the oral microbiome population. When compared to healthy controls, people with IDA had lower total bacterial diversity and different taxonomic makeup. The IDA group had greater proportions of the genera Lactococcus, Enterococcus, Pseudomonas and Moraxella, whose abundance was likewise statistically and adversely linked with serum ferritin levels. Because the IDA group has a high rate of penicillin resistance, the typical use of preventive penicillin may be ineffective. The findings of a disproportionate oral microbiota suggest that more targeted antibiotic usage with various groups may be required before dangerous oral surgeries.
Hemochromatosis is the abnormal accumulation of iron in parenchymal organs, leading to organ toxicity. It is the most common inherited liver disease in whites and the most common autosomal recessive genetic disorder. Genetic haemochromatosis (GH), which is related to the HFE gene p.Cys282Tyr mutation, is the most common form of inherited iron overload disease in European population descendants.
The classic tetrad of manifestations resulting from hemochromatosis consists of: (1) cirrhosis, (2) diabetes mellitus, (3) hyperpigmentation of the skin and teeth, and (4) cardiac failure. Clinical consequences also include hepatocellular carcinoma, impotence and arthritis (Figures 4 and 5) [9].
Tongue anomaly of iron deficiency anaemia.
Balding of tongue seen due to iron deficiency anaemia.
Symptoms can vary from burning mouth syndrome to bald and inflamed tongue [9].
Periodontitis is linked to an inflammatory response triggered by changes in the subgingival biofilm. Inflammation causes iron sequestration inside macrophages in healthy people, depriving bacteria of iron. Iron bioavailability in biological fluids, particularly those of the oral cavity, is enhanced in GH patients with excessively high TSAT, resulting in an increased risk of severe periodontitis. The existence of iron deposits in oral tissues of haemochromatosis patients has also been documented in the literature. The majority of people with haemochromatosis are now asymptomatic, and the skin and mucosal colouration caused by iron deposits have improved dramatically. The occurrence of asymptomatic iron deposits in oral tissues, however, cannot be ruled out [10, 11].
Iron is connected with transferrin in plasma, which increases its bioavailability for cells. The ratio between the total number of iron-binding sites on patient plasma transferrin and the number of binding sites occupied by iron is known as transferrin saturation (TSAT). TSAT is normally seen in the range of 20% to 45 per cent. Hepcidin regulates systemic iron metabolism, and its expression level is tuned to TSAT to regulate plasma iron levels. Hepcidin insufficiency is a symptom of GH, which is caused by a change in the HFE-linked transduction signalling pathway. TSAT levels rise as a result of the iron outflow from macrophages and enterocytes. Non-transferrin-bound iron (NTBI), an aberrant biochemical type of iron, arises in the plasma when TSAT surpasses 45 per cent. The liver and heart are particularly vulnerable to NTBI, which explains why the typical type of GH causes hepatic cirrhosis and diabetes. However, in the absence of cirrhosis or diabetes, the majority of GH patients remain asymptomatic or have chronic tiredness, abnormal serum transaminase levels, rheumatism, and osteoporosis. Cells manufacture ferritin to store excess iron in order to avoid iron toxicity. As a result, the tissue iron reserves are reflected in plasma ferritin levels. The standard treatment is phlebotomy therapy, which is used to take out excess iron and then prevent it from being reconstituted. The gold standard for both initial treatment and maintenance therapy, according to the leading international standards, is serum ferritin levels of less than 50 g/L [13].
Iron depletion would lessen or eliminate the risk of iron-mediated tissue harm, according to the earlier reasoning for blood removal in all patients with haemochromatosis. This may help to avoid or lessen the severity of some haemochromatosis problems after iron deficiency. Dyspnoea, pigmentation, weariness, arthralgia, or hepatomegaly may be reduced, and diabetes mellitus management and left ventricular diastolic function may be improved. The progression of hepatic cirrhosis, as well as the increased risk of primary liver cancer, hyperthyroidism and hypothyroidism, are largely unaffected.
Standard therapy for most patients with haemochromatosis and iron overload is weekly blood removal to bring ferritin levels into the low reference range (20–50 ng/ml), followed by a life-long maintenance phlebotomy schedule to maintain ferritin levels at around 50 ng/ml, for preventing or treating iron overload. The number of units to be removed can be calculated using the following formula: 1 ng/ml ferritin corresponds to nearly 8 mg mobilisable iron in the absence of hepatic necrosis or another source of inflammation that causes hyperferritinaemia, and a 500 ml blood unit contains approximately 200 mg iron. To achieve iron depletion, a patient with serum ferritin of 1000 ng/ml will likely require the removal of 40 units of blood. Traditional phlebotomy or erythrocytapheresis can be used to remove blood. Traditional phlebotomy (250–500 mL once or twice weekly during the initial phase, depending on patient’s characteristics and level of iron overload, followed by 500 mL every 2–4 months for the rest of one’s life) is effective for iron depletion, but it necessitates normal erythropoiesis and frequent visits to a healthcare facility, and some patients report intolerance. Blood taken for therapeutic phlebotomy at blood donation facilities can be used to supplement the blood supply for transfusion, according to new US Food and Drug Administration rules (Title 21, Code of Federal Regulations, Section 640.120). (21 CFR 640.120). Isovolaemic, large-volume erythrocytapheresis, on the other hand, removes more blood erythrocytes each session than phlebotomy while leaving plasma proteins, coagulation factors, and platelets alone. As a result, therapeutic erythrocytapheresis is a quick and safe procedure that may be recommended in the early stages of treatment for individuals with significant iron excess. Although a single therapeutic erythrocytapheresis session is more expensive, the overall expenditures to cause iron depletion are comparable to or less expensive than therapeutic phlebotomy; yet, the treatment is only available in limited quantities (special apparatus and facilities, trained personnel, etc). Both treatments, however, have comparable side effects: transitory hypovolaemia; weariness (Hb levels should not go below 11 g/dl); enhanced iron absorption; citrate response (erythrocytapheresis alone); or iron insufficiency if proper monitoring is not performed. Iron chelation therapy, on the other hand, is seldom optimal for patients with haemochromatosis, unless they are unable to undertake phlebotomy therapy due to expense, probable toxicity and a lack of proof of benefits. Finally, while dietary restrictions (e.g. low meat consumption, abstinence from alcohol, restricted use of vitamin and mineral supplements, etc.) and medications to reduce iron absorption (e.g. proton pump inhibitors) appear to be reasonable options for patients with haemochromatosis, they have yet to be evaluated in prospective randomised clinical trials [14].
In patients with acquired iron overload (e.g. anaemia dependent on transfusion), iron-excess management and management of toxicity due to excess iron with chelation have been shown to lower iron burden and increase survival. Patients with serial serum ferritin levels more than 1000 ng/ml and a total infused red blood cell volume of 120 ml/kg of body weight or higher should be treated with chelation treatment, according to recent consensus recommendations. During chelation therapy, serum ferritin levels should be checked every three months to determine that the medication is effectively lowering iron levels. Deferasirox is cost-effective when compared to standard parenteral iron chelation therapy with deferoxamine, according to cost analyses conducted in the United Kingdom and the United States. This is primarily due to the quality-of-life benefits derived from the simpler and more convenient mode of oral administration. The first results from a phase I/II investigation of deferasirox in HFE-haemochromatosis show that a dosage of 5–10 mg/kg/day is sufficient to decrease iron burden, and a randomised trial comparing deferasirox to phlebotomy is now underway [32].
Although research on iron salts compounds and iron ions support the cariostatic concept, it is difficult to make definitive statements about iron loss owing to a range of chemicals and additives. In the context of a cariogenic diet, however, it appears that specific drops in iron content have a static effect on caries. In light of the current data, it is likely reasonable to state that if a kid consumes carbohydrates that are utilised by cariogenic bacteria, the cariostatic impact might be calculated based on iron drop intake (especially the form of ferrous sulfate. Ferrous Sulphate affects the most as proven in the literature) [33].
In a case–control study by Schroth et al. which aimed to contrast ferritin and haemoglobin levels between preschoolers with S-ECC and caries-free controls, it was concluded that children with S-ECC (severe early childhood caries) appear to be at significantly greater odds of having low ferritin status compared with caries-free children. Children with S-ECC appear to have significantly lower haemoglobin levels and appear to be at significantly greater odds for iron deficiency when compared with caries-free controls.
In the realm of microhardness, the presence of iron in combination with sucrose has resulted in a decrease in the microhardness changes of cow and human enamel. Furthermore, in both in vitro and in vivo conditions, adding iron to acidic liquids reduces demineralization. There is still debate over the mechanism of action of such an ion and its different forms, and this is a fascinating study subject.
Staining of teeth seen due to iron deficiency anaemia.
Consumption of iron-rich foods (eggs, vegetables, etc.) tends to promote the bacterial growth that produces colouration which is black in the teeth. It has been shown that children with black pigmentations have more calcium and phosphate in their saliva, which can boost the saliva’s buffering qualities and lead to a reduction in the occurrence and prevention rate of decay in the presence of pigmentation. However, the relationship between pigmentation, food, oral flora decay and has yet to be found. The combination of iron and sulphide ions produced by bacteria activity is mainly responsible for the iron drop’s colour. To justify no indication of colour change in all consumers, the colour change varies with varied iron drop consumption, which might be connected to the total quantity of iron accessible in each drop, the acidity and drops’ capacity to etch the surface of the tooth, any bacterial flora, individual’s diet and so on [39].
The study of microbial iron metabolism is gaining popularity. Initial research on the subject revealed the many ways in which bacteria get iron, began to unravel the crucial function of iron in bacterial metabolism and revealed the means and demand for precise iron absorption management. Iron’s role in bacterial pathogenesis has been well documented, and it is currently taken into account in all investigations of prokaryotic pathogens. Basic investigations using
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These reactions occur through a regular radical chain causing growth of polymer by three steps, namely, initiation, propagation, and termination. To understand ionizing radiation-induced polymerization, the water radiolysis must be taken into consideration. This chapter explores the mechanism of water molecules radiolysis paying especial attention to the basic regularities of solvent radicals’ interaction with the polymer molecules for forming the crosslinked polymer. Water radiolysis is the main engine of the polymerization processes, especially the “free-radical polymerization.” The mechanisms of the free-radical polymerization and crosslinking will be discussed in detail later. Since different polymers respond differently to radiation, it is useful to quantify the response, namely in terms of crosslinking and chain scission. A parameter called the G-value is frequently used for this purpose. It represents the chemical yield of crosslinks, scissions and double bonds, etc. For the crosslinked polymer, the crosslinking density increases with increasing the radiation dose, this is reflected by the swelling degree of the polymer while being immersed in a compatible solvent. If crosslinking predominates, the crosslinking density increases and the extent of swelling decreases. If chain scission predominates, the opposite occurs. A further detailed discussion of these aspects is presented throughout this chapter.",book:{id:"6149",slug:"ionizing-radiation-effects-and-applications",title:"Ionizing Radiation Effects and Applications",fullTitle:"Ionizing Radiation Effects and Applications"},signatures:"Mohamed Mohamady Ghobashy",authors:[{id:"212371",title:"Dr.",name:"Mohamed",middleName:null,surname:"Mohamady Ghobashy",slug:"mohamed-mohamady-ghobashy",fullName:"Mohamed Mohamady Ghobashy"}]},{id:"53504",doi:"10.5772/66925",title:"Applications of Ionizing Radiation in Mutation Breeding",slug:"applications-of-ionizing-radiation-in-mutation-breeding",totalDownloads:3509,totalCrossrefCites:9,totalDimensionsCites:13,abstract:"As a predicted result of increasing population worldwide, improvements in the breeding strategies in agriculture are valued as mandatory. The natural resources are limited, and due to the natural disasters like sudden and severe abiotic stress factors, excessive floods, etc., the production capacities are changed per year. In contrast, the yield potential should be significantly increased to cope with this problem. Despite rich genetic diversity, manipulation of the cultivars through alternative techniques such as mutation breeding becomes important. Radiation is proven as an effective method as a unique method to increase the genetic variability of the species. Gamma radiation is the most preferred physical mutagen by plant breeders. Several mutant varieties have been successfully introduced into commercial production by this method. Combinational use of in vitro tissue culture and mutation breeding methods makes a significant contribution to improve new crops. Large populations and the target mutations can be easily screened and identified by new methods. Marker assisted selection and advanced techniques such as microarray, next generation sequencing methods to detect a specific mutant in a large population will help to the plant breeders to use ionizing radiation efficiently in breeding programs.",book:{id:"5451",slug:"new-insights-on-gamma-rays",title:"New Insights on Gamma Rays",fullTitle:"New Insights on Gamma Rays"},signatures:"Özge Çelik and Çimen Atak",authors:[{id:"147362",title:"Dr.",name:"Özge",middleName:null,surname:"Çelik",slug:"ozge-celik",fullName:"Özge Çelik"},{id:"147364",title:"Prof.",name:"Çimen",middleName:null,surname:"Atak",slug:"cimen-atak",fullName:"Çimen Atak"}]},{id:"32846",doi:"10.5772/36950",title:"Current Importance and Potential Use of Low Doses of Gamma Radiation in Forest Species",slug:"current-importance-and-potential-use-of-low-doses-of-gamma-radiation-in-forest-species",totalDownloads:5301,totalCrossrefCites:2,totalDimensionsCites:13,abstract:null,book:{id:"1590",slug:"gamma-radiation",title:"Gamma Radiation",fullTitle:"Gamma Radiation"},signatures:"L. G. Iglesias-Andreu, P. Octavio-Aguilar and J. Bello-Bello",authors:[{id:"110581",title:"Dr.",name:"Lourdes",middleName:null,surname:"Iglesias-Andreu",slug:"lourdes-iglesias-andreu",fullName:"Lourdes Iglesias-Andreu"}]},{id:"58410",doi:"10.5772/intechopen.72074",title:"Radiation-Induced Degradation of Organic Compounds and Radiation Technologies for Purification of Aqueous Systems",slug:"radiation-induced-degradation-of-organic-compounds-and-radiation-technologies-for-purification-of-aq",totalDownloads:1437,totalCrossrefCites:8,totalDimensionsCites:13,abstract:"Environmental application of radiation technologies is an important part of radiation processing. Radiation treatment of aqueous systems contaminated with organic compounds is a promising method of water and wastewater purification and corresponding technologies are being developed. In this chapter, the following aspects of radiation treatment process are considered: sources of contamination and major contaminants of water and wastewater; primary processes in aqueous systems initiated by ionizing radiation; principal ways of contaminant conversion as consequences of primary processes (complete mineralization of organic compounds, partial decomposition of organic molecules resulted in detoxification, decolorization, disinfection of polluted water, and improvement in biological degradation of contaminant, polymerization of monomers’ contaminants, oxidation-reduction processes, and coagulation of colloids); sources of ionizing radiation; and main equipment applied in radiation technologies of aqueous system purification.",book:{id:"6149",slug:"ionizing-radiation-effects-and-applications",title:"Ionizing Radiation Effects and Applications",fullTitle:"Ionizing Radiation Effects and Applications"},signatures:"Igor E. Makarov and Alexander V. Ponomarev",authors:[{id:"213652",title:"Dr.",name:"Igor",middleName:null,surname:"Makarov",slug:"igor-makarov",fullName:"Igor Makarov"},{id:"213657",title:"Dr.",name:"Alexander",middleName:null,surname:"Ponomarev",slug:"alexander-ponomarev",fullName:"Alexander Ponomarev"}]}],mostDownloadedChaptersLast30Days:[{id:"32842",title:"Sterilization by Gamma Irradiation",slug:"sterilization-by-gamma-irradiation",totalDownloads:74818,totalCrossrefCites:37,totalDimensionsCites:85,abstract:null,book:{id:"1590",slug:"gamma-radiation",title:"Gamma Radiation",fullTitle:"Gamma Radiation"},signatures:"Kátia Aparecida da Silva Aquino",authors:[{id:"102109",title:"Dr.",name:"Katia",middleName:"Aparecida Da S.",surname:"Aquino",slug:"katia-aquino",fullName:"Katia Aquino"}]},{id:"32837",title:"Environmental Gamma-Ray Observation in Deep Sea",slug:"environmental-gamma-ray-observation-in-deep-sea-",totalDownloads:2931,totalCrossrefCites:4,totalDimensionsCites:6,abstract:null,book:{id:"1590",slug:"gamma-radiation",title:"Gamma Radiation",fullTitle:"Gamma Radiation"},signatures:"Hidenori Kumagai, Ryoichi Iwase, Masataka Kinoshita, Hideaki Machiyama, Mutsuo Hattori and Masaharu Okano",authors:[{id:"108174",title:"Dr.",name:"Hidenori",middleName:null,surname:"Kumagai",slug:"hidenori-kumagai",fullName:"Hidenori Kumagai"},{id:"108237",title:"Dr.",name:"Masa",middleName:null,surname:"Kinoshita",slug:"masa-kinoshita",fullName:"Masa Kinoshita"},{id:"137650",title:"Dr.",name:"Ryoichi",middleName:null,surname:"Iwase",slug:"ryoichi-iwase",fullName:"Ryoichi Iwase"},{id:"137656",title:"Dr.",name:"Hideaki",middleName:null,surname:"Machiyama",slug:"hideaki-machiyama",fullName:"Hideaki Machiyama"},{id:"146918",title:"Dr.",name:"Mutsuo",middleName:null,surname:"Hattori",slug:"mutsuo-hattori",fullName:"Mutsuo Hattori"},{id:"146919",title:"Dr.",name:"Masaharu",middleName:null,surname:"Okano",slug:"masaharu-okano",fullName:"Masaharu Okano"}]},{id:"58998",title:"Ionizing Radiation-Induced Polymerization",slug:"ionizing-radiation-induced-polymerization",totalDownloads:1820,totalCrossrefCites:8,totalDimensionsCites:17,abstract:"Ionizing radiation can induce some kinds of reactions, other than polymerization, such as dimerization, oligomerization, curing, and grafting. These reactions occur through a regular radical chain causing growth of polymer by three steps, namely, initiation, propagation, and termination. To understand ionizing radiation-induced polymerization, the water radiolysis must be taken into consideration. This chapter explores the mechanism of water molecules radiolysis paying especial attention to the basic regularities of solvent radicals’ interaction with the polymer molecules for forming the crosslinked polymer. Water radiolysis is the main engine of the polymerization processes, especially the “free-radical polymerization.” The mechanisms of the free-radical polymerization and crosslinking will be discussed in detail later. Since different polymers respond differently to radiation, it is useful to quantify the response, namely in terms of crosslinking and chain scission. A parameter called the G-value is frequently used for this purpose. It represents the chemical yield of crosslinks, scissions and double bonds, etc. For the crosslinked polymer, the crosslinking density increases with increasing the radiation dose, this is reflected by the swelling degree of the polymer while being immersed in a compatible solvent. If crosslinking predominates, the crosslinking density increases and the extent of swelling decreases. If chain scission predominates, the opposite occurs. A further detailed discussion of these aspects is presented throughout this chapter.",book:{id:"6149",slug:"ionizing-radiation-effects-and-applications",title:"Ionizing Radiation Effects and Applications",fullTitle:"Ionizing Radiation Effects and Applications"},signatures:"Mohamed Mohamady Ghobashy",authors:[{id:"212371",title:"Dr.",name:"Mohamed",middleName:null,surname:"Mohamady Ghobashy",slug:"mohamed-mohamady-ghobashy",fullName:"Mohamed Mohamady Ghobashy"}]},{id:"53780",title:"Gamma-Ray Spectrometry and the Investigation of Environmental and Food Samples",slug:"gamma-ray-spectrometry-and-the-investigation-of-environmental-and-food-samples",totalDownloads:2529,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Gamma radiation consists of high‐energy photons and penetrates matter. This is an advantage for the detection of gamma rays, as gamma spectrometry does not need the elimination of the matrix. The disadvantage is the need of shielding to protect against this radiation. Gamma rays are everywhere: in the atmosphere; gamma nuclides are produced by radiation of the sun; in the Earth, the primordial radioactive nuclides thorium and uranium are sources for gamma and other radiation. The technical enrichment and use of radioisotopes led to the unscrupulously use of radioactive material and to the Cold War, with over 900 bomb tests from 1945 to 1990, combined with global fallout over the northern hemisphere. The friendly use of radiation in medicine and for the production of energy at nuclear power plants (NPPs) has caused further expositions with ionising radiation. This chapter describes in a practical manner the instrumentation for the detection of gamma radiation and some results of the use of these techniques in environmental and food investigations.",book:{id:"5451",slug:"new-insights-on-gamma-rays",title:"New Insights on Gamma Rays",fullTitle:"New Insights on Gamma Rays"},signatures:"Markus R. Zehringer",authors:[{id:"311750",title:"Dr.",name:"Markus R.",middleName:null,surname:"Zehringer",slug:"markus-r.-zehringer",fullName:"Markus R. Zehringer"}]},{id:"54118",title:"Gamma Rays from Space",slug:"gamma-rays-from-space",totalDownloads:2089,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"An overview of gamma rays from space is presented. We highlight the most powerful astrophysical explosions, known as gamma-ray bursts. The main features observed in detectors onboard satellites are indicated. In addition, we also highlight a chronological description of the efforts made to observe their high energy counterpart at ground level. Some candidates of the GeV counterpart of gamma-ray bursts, observed by Tupi telescopes, are also presented.",book:{id:"5451",slug:"new-insights-on-gamma-rays",title:"New Insights on Gamma Rays",fullTitle:"New Insights on Gamma Rays"},signatures:"Carlos Navia and Marcel Nogueira de Oliveira",authors:[{id:"189908",title:"Dr.",name:"Carlos",middleName:null,surname:"Navia",slug:"carlos-navia",fullName:"Carlos Navia"},{id:"243084",title:"MSc.",name:"Marcel",middleName:null,surname:"De Oliveira",slug:"marcel-de-oliveira",fullName:"Marcel De Oliveira"}]}],onlineFirstChaptersFilter:{topicId:"227",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"82739",title:"Experimental Breeder Reactor II",slug:"experimental-breeder-reactor-ii",totalDownloads:12,totalDimensionsCites:0,doi:"10.5772/intechopen.105800",abstract:"The Experimental Breeder Reactor II (EBR-II) operated from 1964 to 1994. EBR-II was a sodium-cooled fast reactor operating at 69 MWth producing 19 MWe. Rather than using a loop approach for the coolant, EBR-II used a pool arrangement where the reactor core, primary coolant piping, and primary reactor coolant pumps were contained within the pool of sodium. Also contained within the pool was a heat exchanger where primary coolant, which is radioactive, transferred heat to secondary, nonradioactive, sodium. The nuclear power plant included a sodium boiler building where heat from the secondary sodium generated superheated steam, which was delivered to a turbine/generator for electricity production. EBR-II fuel was metallic uranium alloyed with various metals providing significant performance and safety enhancements over oxide fuel. The most significant EBR-II experiments occurred in April 1986. Relying on inherent physical properties of the reactor, two experiments were performed subjecting the reactor to loss of primary coolant flow without reactor SCRAM and loss of the secondary system heat removal without reactor SCRAM. In both experiments, the reactor experienced no damage. This chapter provides a description of the most important design features of EBR-II along with a summary of the landmark reactor safety experiments.",book:{id:"10982",title:"Nuclear Reactors - Spacecraft Propulsion, Research Reactors, and Reactor Analysis Topics",coverURL:"https://cdn.intechopen.com/books/images_new/10982.jpg"},signatures:"Chad L. Pope, Ryan Stewart and Edward Lum"},{id:"82712",title:"Idaho State University AGN-201 Low Power Teaching Reactor: An Overlooked Gem",slug:"idaho-state-university-agn-201-low-power-teaching-reactor-an-overlooked-gem",totalDownloads:10,totalDimensionsCites:0,doi:"10.5772/intechopen.105799",abstract:"A category of reactors called university research and teaching reactors, includes relatively high-power pool-type and low-power solid-core reactors. Many high-power university reactors are largely used for irradiations and isotope production. Their almost constant operation tends to impede student access. A university reactor can be particularly relevant to the university’s mission of preparing well-rounded students who have theoretical knowledge, reinforced by focused laboratory reactor experience. The solid-core Idaho State University Aerojet General Nucleonics (AGN) model 201 reactor operates at such a low power (5 W maximum) that it is not useful for isotope production activities. However, the AGN-201 reactor is well suited for teaching and research activities. The solid-core AGN-201 reactor requires no active cooling system, uses a simple shielding arrangement, and the very low operating power results in trivial burnup providing an operating lifetime exceeding many decades. It is thus worthwhile to examine the Idaho State University AGN-201 nuclear reactor more closely because it offers a wide range of research and teaching capabilities while being widely available to students.",book:{id:"10982",title:"Nuclear Reactors - Spacecraft Propulsion, Research Reactors, and Reactor Analysis Topics",coverURL:"https://cdn.intechopen.com/books/images_new/10982.jpg"},signatures:"Chad L. Pope and William Phoenix"},{id:"81424",title:"Core Reload Analysis Techniques in the Advanced Test Reactor",slug:"core-reload-analysis-techniques-in-the-advanced-test-reactor",totalDownloads:13,totalDimensionsCites:0,doi:"10.5772/intechopen.103896",abstract:"Since becoming a national user facility in 2007, the type of irradiation campaigns the Advanced Test Reactor (ATR) supports has become much more diverse and complex. In prior years, test complexity was limited by the computational ability to analyze the tests’ influence on the fuel. 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An overview will be provided of reactor types and design elements for reactor concepts or testing systems for nuclear thermal propulsion, followed by a discussion of nuclear thermal design concepts. A section on system design and modeling will be presented to discuss modeling and simulation of driving phenomena: neutronics, materials performance, heat transfer, and structural mechanics, solved in a tightly coupled multiphysics system. Finally, it will show the results of a coupled physics model for a conceptual design with simulation of rapid startup transients needed to maximize hydrogen efficiency.",book:{id:"10982",title:"Nuclear Reactors - Spacecraft Propulsion, Research Reactors, and Reactor Analysis Topics",coverURL:"https://cdn.intechopen.com/books/images_new/10982.jpg"},signatures:"Mark D. DeHart, Sebastian Schunert and Vincent M. 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In addition to outlining the use of CIE in nuclear reactor applications, this chapter provides a brief primer on nuclear reactor instrumentation and control and the associated cyber risks in existing light water reactors as well as the digital technology that will likely be used in future reactor designs and applications.",book:{id:"10982",title:"Nuclear Reactors - Spacecraft Propulsion, Research Reactors, and Reactor Analysis Topics",coverURL:"https://cdn.intechopen.com/books/images_new/10982.jpg"},signatures:"Shannon Eggers and Robert Anderson"},{id:"79671",title:"Fault Detection by Signal Reconstruction in Nuclear Power Plants",slug:"fault-detection-by-signal-reconstruction-in-nuclear-power-plants",totalDownloads:107,totalDimensionsCites:0,doi:"10.5772/intechopen.101276",abstract:"In this work, the recently developed auto associative bilateral kernel regression (AABKR) method for on-line condition monitoring of systems, structures, and components (SSCs) during transient process operation of a nuclear power plant (NPP) is improved. 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In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. 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Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",institutionURL:null,country:{name:"India"}}}]},{type:"book",id:"7123",title:"Current Topics in Neglected Tropical Diseases",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7123.jpg",slug:"current-topics-in-neglected-tropical-diseases",publishedDate:"December 4th 2019",editedByType:"Edited by",bookSignature:"Alfonso J. 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He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. 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He obtained a Master’s degree in Public Health and PhD in Public Health and Epidemiology. He has a background in Clinical Medicine and has taken courses at higher diploma levels in public health from University of Transkei, Republic of South Africa, and African Medical and Research Foundation (AMREF) in Nairobi, Kenya. Dr. Kasenga worked in different places in and outside Malawi, and has held various positions, such as Licensed Medical Officer, HIV/AIDS Programme Officer, HIV/AIDS resource person in the International Department of Diakonhjemet College, Oslo, Norway. He also managed an Integrated HIV/AIDS Prevention programme for over 5 years. He is currently working as a Director for the Health Ministries Department of Malawi Union of the Seventh Day Adventist Church. Dr. Kasenga has published over 5 articles on HIV/AIDS issues focusing on Prevention of Mother to Child Transmission of HIV (PMTCT), including a book chapter on HIV testing counseling (currently in press). 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He was elected a Yangtze River Scholars Distinguished Professor in 2013, a member of the International Statistical Institute (ISI) in 2016, a member of the board of the International Chinese Statistical Association (ICSA) in 2018, and a fellow of the Institute of Mathematical Statistics (IMS) in 2021. He received the ICSA Outstanding Service Award in 2018 and the National Science Foundation for Distinguished Young Scholars of China in 2012. He serves as a member of the editorial board of Statistics and Its Interface and Journal of Systems Science and Complexity. He is also a field editor for Communications in Mathematics and Statistics. His research interests include biostatistics, empirical likelihood, missing data analysis, variable selection, high-dimensional data analysis, Bayesian statistics, and data science. He has published more than 190 research papers and authored five books.",institutionString:"Yunnan University",institution:{name:"Yunnan University",country:{name:"China"}}},{id:"1177",title:"Prof.",name:"António",middleName:"J. R.",surname:"José Ribeiro Neves",slug:"antonio-jose-ribeiro-neves",fullName:"António José Ribeiro Neves",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1177/images/system/1177.jpg",biography:"Prof. António J. R. Neves received a Ph.D. in Electrical Engineering from the University of Aveiro, Portugal, in 2007. Since 2002, he has been a researcher at the Institute of Electronics and Informatics Engineering of Aveiro. Since 2007, he has been an assistant professor in the Department of Electronics, Telecommunications, and Informatics, University of Aveiro. He is the director of the undergraduate course on Electrical and Computers Engineering and the vice-director of the master’s degree in Electronics and Telecommunications Engineering. He is an IEEE Senior Member and a member of several other research organizations worldwide. His main research interests are computer vision, intelligent systems, robotics, and image and video processing. He has participated in or coordinated several research projects and received more than thirty-five awards. He has 161 publications to his credit, including books, book chapters, journal articles, and conference papers. He has vast experience as a reviewer of several journals and conferences. As a professor, Dr. Neves has supervised several Ph.D. and master’s students and was involved in more than twenty-five different courses.",institutionString:null,institution:{name:"University of Aveiro",country:{name:"Portugal"}}},{id:"11317",title:"Dr.",name:"Francisco",middleName:null,surname:"Javier Gallegos-Funes",slug:"francisco-javier-gallegos-funes",fullName:"Francisco Javier Gallegos-Funes",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/11317/images/system/11317.png",biography:"Francisco J. Gallegos-Funes received his Ph.D. in Communications and Electronics from the Instituto Politécnico Nacional de México (National Polytechnic Institute of Mexico) in 2003. He is currently an associate professor in the Escuela Superior de Ingeniería Mecánica y Eléctrica (Mechanical and Electrical Engineering Higher School) at the same institute. His areas of scientific interest are signal and image processing, filtering, steganography, segmentation, pattern recognition, biomedical signal processing, sensors, and real-time applications.",institutionString:"Instituto Politécnico Nacional",institution:{name:"Instituto Politécnico Nacional",country:{name:"Mexico"}}},{id:"428449",title:"Dr.",name:"Ronaldo",middleName:null,surname:"Ferreira",slug:"ronaldo-ferreira",fullName:"Ronaldo Ferreira",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/428449/images/21449_n.png",biography:null,institutionString:null,institution:{name:"University of Aveiro",country:{name:"Portugal"}}},{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:{name:"Association for Computing Machinery",country:{name:"United States of America"}}},{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:'"Politechnica" University Timişoara',institution:null},{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:{name:"Tecnalia",country:{name:"Spain"}}},{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:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:null,institution:null},{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:"417317",title:"Mrs.",name:"Chiedza",middleName:null,surname:"Elvina Mashiri",slug:"chiedza-elvina-mashiri",fullName:"Chiedza Elvina Mashiri",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Midlands State University",country:{name:"Zimbabwe"}}},{id:"352140",title:"Dr.",name:"Edina",middleName:null,surname:"Chandiwana",slug:"edina-chandiwana",fullName:"Edina Chandiwana",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Midlands State University",country:{name:"Zimbabwe"}}},{id:"342259",title:"B.Sc.",name:"Leonard",middleName:null,surname:"Mushunje",slug:"leonard-mushunje",fullName:"Leonard Mushunje",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Midlands State University",country:{name:"Zimbabwe"}}},{id:"347042",title:"Mr.",name:"Maxwell",middleName:null,surname:"Mashasha",slug:"maxwell-mashasha",fullName:"Maxwell Mashasha",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Midlands State University",country:{name:"Zimbabwe"}}},{id:"2941",title:"Dr.",name:"Alberto J.",middleName:"Jorge",surname:"Rosales-Silva",slug:"alberto-j.-rosales-silva",fullName:"Alberto J. Rosales-Silva",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Instituto Politécnico Nacional",country:{name:"Mexico"}}},{id:"437913",title:"Dr.",name:"Guillermo",middleName:null,surname:"Urriolagoitia-Sosa",slug:"guillermo-urriolagoitia-sosa",fullName:"Guillermo Urriolagoitia-Sosa",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Instituto Politécnico Nacional",country:{name:"Mexico"}}},{id:"435126",title:"Prof.",name:"Joaquim",middleName:null,surname:"José de Castro Ferreira",slug:"joaquim-jose-de-castro-ferreira",fullName:"Joaquim José de Castro Ferreira",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Aveiro",country:{name:"Portugal"}}},{id:"437899",title:"MSc.",name:"Miguel Angel",middleName:null,surname:"Ángel Castillo-Martínez",slug:"miguel-angel-angel-castillo-martinez",fullName:"Miguel Angel Ángel Castillo-Martínez",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Instituto Politécnico Nacional",country:{name:"Mexico"}}},{id:"289955",title:"Dr.",name:"Raja",middleName:null,surname:"Kishor Duggirala",slug:"raja-kishor-duggirala",fullName:"Raja Kishor Duggirala",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Jawaharlal Nehru Technological University, Hyderabad",country:{name:"India"}}}]}},subseries:{item:{id:"24",type:"subseries",title:"Computer Vision",keywords:"Image Analysis, Scene Understanding, Biometrics, Deep Learning, Software Implementation, Hardware Implementation, Natural Images, Medical Images, Robotics, VR/AR",scope:"The scope of this topic is to disseminate the recent advances in the rapidly growing field of computer vision from both the theoretical and practical points of view. Novel computational algorithms for image analysis, scene understanding, biometrics, deep learning and their software or hardware implementations for natural and medical images, robotics, VR/AR, applications are some research directions relevant to this topic.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",hasOnlineFirst:!1,hasPublishedBooks:!0,annualVolume:11420,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null,series:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403"},editorialBoard:[{id:"1177",title:"Prof.",name:"António",middleName:"J. R.",surname:"José Ribeiro Neves",slug:"antonio-jose-ribeiro-neves",fullName:"António José Ribeiro Neves",profilePictureURL:"https://mts.intechopen.com/storage/users/1177/images/system/1177.jpg",institutionString:null,institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}},{id:"220565",title:"Dr.",name:"Jucheng",middleName:null,surname:"Yang",slug:"jucheng-yang",fullName:"Jucheng Yang",profilePictureURL:"https://mts.intechopen.com/storage/users/220565/images/5988_n.jpg",institutionString:null,institution:{name:"Tianjin University of Technology",institutionURL:null,country:{name:"China"}}},{id:"29299",title:"Prof.",name:"Serestina",middleName:null,surname:"Viriri",slug:"serestina-viriri",fullName:"Serestina Viriri",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYOalQAG/Profile_Picture_1620817405517",institutionString:null,institution:{name:"University of KwaZulu-Natal",institutionURL:null,country:{name:"South Africa"}}},{id:"315933",title:"Dr.",name:"Yalın",middleName:null,surname:"Baştanlar",slug:"yalin-bastanlar",fullName:"Yalın Baştanlar",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002qpr7hQAA/Profile_Picture_1621430127547",institutionString:null,institution:{name:"Izmir Institute of Technology",institutionURL:null,country:{name:"Turkey"}}}]},onlineFirstChapters:{paginationCount:18,paginationItems:[{id:"82875",title:"Lipidomics as a Tool in the Diagnosis and Clinical Therapy",doi:"10.5772/intechopen.105857",signatures:"María Elizbeth Alvarez Sánchez, Erick Nolasco Ontiveros, Rodrigo Arreola, Adriana Montserrat Espinosa González, Ana María García Bores, Roberto Eduardo López Urrutia, Ignacio Peñalosa Castro, María del Socorro Sánchez Correa and Edgar Antonio Estrella Parra",slug:"lipidomics-as-a-tool-in-the-diagnosis-and-clinical-therapy",totalDownloads:11,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Fatty Acids - 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