Wide range of hot compression test setups [42].
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"7238",leadTitle:null,fullTitle:"Fuel Ethanol Production from Sugarcane",title:"Fuel Ethanol Production from Sugarcane",subtitle:null,reviewType:"peer-reviewed",abstract:"This book offers a broad understanding of bioethanol production from sugarcane, although a few other substrates, except corn, will also be mentioned. The 10 chapters are grouped in five sections. The Fuel Ethanol Production from Sugarcane in Brazil section consists of two chapters dealing with the first-generation ethanol Brazilian industrial process. The Strategies for Sugarcane Bagasse Pretreatment section deals with emerging physicochemical methods for biomass pretreatment, and the non-conventional biomass source for lignocellulosic ethanol production addresses the potential of weed biomass as alternative feedstock. In the Recent Approaches for Increasing Fermentation Efficiency of Lignocellulosic Ethanol section, potential and research progress using thermophile bacteria and yeasts is presented, taking advantage of microorganisms involved in consolidating or simultaneous hydrolysis and fermentation processes. Finally, the Recent Advances in Ethanol Fermentation section presents the use of cold plasma and hydrostatic pressure to increase ethanol production efficiency. Also in this section the use of metabolic-engineered autotrophic cyanobacteria to produce ethanol from carbon dioxide is mentioned.",isbn:"978-1-78984-938-7",printIsbn:"978-1-78984-937-0",pdfIsbn:"978-1-83881-784-8",doi:"10.5772/intechopen.74271",price:119,priceEur:129,priceUsd:155,slug:"fuel-ethanol-production-from-sugarcane",numberOfPages:230,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"f3b4eb4ac5837543b99bd6e1a1a4cacc",bookSignature:"Thalita Peixoto Basso and Luiz Carlos Basso",publishedDate:"January 23rd 2019",coverURL:"https://cdn.intechopen.com/books/images_new/7238.jpg",numberOfDownloads:12985,numberOfWosCitations:27,numberOfCrossrefCitations:19,numberOfCrossrefCitationsByBook:3,numberOfDimensionsCitations:52,numberOfDimensionsCitationsByBook:3,hasAltmetrics:1,numberOfTotalCitations:98,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"January 29th 2018",dateEndSecondStepPublish:"February 19th 2018",dateEndThirdStepPublish:"April 20th 2018",dateEndFourthStepPublish:"July 9th 2018",dateEndFifthStepPublish:"September 7th 2018",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"139174",title:"Ph.D.",name:"Thalita",middleName:null,surname:"Peixoto Basso",slug:"thalita-peixoto-basso",fullName:"Thalita Peixoto Basso",profilePictureURL:"https://mts.intechopen.com/storage/users/139174/images/system/139174.png",biography:"Thalita Peixoto Basso received her bachelor’s degree in Agriculture Engineering. During this period, she studied the fermentation characteristics of Saccharomyces cerevisiae isolated from ethanol industrial processes. She obtained her master’s degree from the University of Sao Paulo (ESALQ/USP), Brazil. During this time, she isolated and selected fungi with high cellulose activity for enzymatic hydrolysis of sugarcane bagasse. She received her Ph.D. from the Agricultural Microbiology Program, ESALQ/USP, with a period as a visiting scholar at the University of California Berkeley and the Energy Bioscience Institute. Meanwhile, she worked on the improvement of S. cerevisiae by hybridization for increased tolerance toward inhibitors from second-generation ethanol substrates. Currently, she is a collaborating professor and postdoctorate working with metabolomics and proteomics of fermentation processes in the Genetics Department, ESALQ/USP.",institutionString:"University of São Paulo",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"4",institution:{name:"University of Sao Paulo",institutionURL:null,country:{name:"Brazil"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:{id:"27097",title:"Dr.",name:"Luiz Carlos",middleName:null,surname:"Basso",slug:"luiz-carlos-basso",fullName:"Luiz Carlos Basso",profilePictureURL:"https://mts.intechopen.com/storage/users/27097/images/system/27097.jpg",biography:"Luiz Carlos Basso holds a bachelor’s degree in Agriculture Engineering from the University of Sao Paulo (ESALQ/USP) in 1969, a master’s degree in Soil and Plant Nutrition from ESALQ/USP in 1973, Ph.D. in Biological Science from São Paulo State University (UNESP), and postdoctorate from Institut des Produits de la Vigne, Montpellier and Superior Technical Institute, Lisbon, in 1989. Since 1980, he has been involved with yeast biochemistry and physiology, aiming to increase ethanol yield using the fed-batch industrial process. During the last fifteen years, he has conducted a yeast selection program resulting in the most widely used Saccharomyces cerevisiae strains (PE-2 and CAT-1) in the Brazilian ethanol industry. Currently, he is a senior professor at ESALQ/USP teaching Biochemistry (for undergraduate students), Biochemistry and Physiology of Yeast Fermentation (for graduate students), and selecting tolerant strains for lignocellulosic inhibitors.",institutionString:"University of São Paulo",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"3",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"University of Sao Paulo",institutionURL:null,country:{name:"Brazil"}}},coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"82",title:"Biochemistry",slug:"chemistry-biochemistry"}],chapters:[{id:"62041",title:"Assessment of Sugarcane-Based Ethanol Production",doi:"10.5772/intechopen.78301",slug:"assessment-of-sugarcane-based-ethanol-production",totalDownloads:2223,totalCrossrefCites:3,totalDimensionsCites:12,hasAltmetrics:0,abstract:"This chapter aims to explain how bio-ethanol has been drawn to become a successful alternative to partially replace petroleum as a source of liquid fuels in Brazil. A brief historical analysis about the production of bio-ethanol from sugarcane is presented. The motivation to start the production of the ethanol as biofuel in the 1970s and how the governmental policies have contributed to the ups and downs, successes, and failures of the sugarcane industry is shown. Then, the efficiency of the sector is addressed; firstly, the increasing efficiency of the agricultural sector is discussed, showing how the productivity per hectare has increased in the last decades and which improvements are further expected in a near future. Finally, the industrial process is discussed: the current efficiency in processing sugarcane to produce ethanol and the emerging technologies, not only to process sugarcane juice, but also to harness bagasse, vinasse, and sugarcane straw.",signatures:"Rubens Eliseu Nicula de Castro, Rita Maria de Brito Alves,\nCláudio Augusto Oller do Nascimento and Reinaldo Giudici",downloadPdfUrl:"/chapter/pdf-download/62041",previewPdfUrl:"/chapter/pdf-preview/62041",authors:[{id:"50350",title:"Prof.",name:"Claudio",surname:"Oller Do Nascimento",slug:"claudio-oller-do-nascimento",fullName:"Claudio Oller Do Nascimento"},{id:"98033",title:"Dr.",name:"Rita Maria",surname:"De Brito Alves",slug:"rita-maria-de-brito-alves",fullName:"Rita Maria De Brito Alves"},{id:"248441",title:"BSc.",name:"Rubens E",surname:"N De Castro",slug:"rubens-e-n-de-castro",fullName:"Rubens E N De Castro"},{id:"248442",title:"Prof.",name:"Reinaldo",surname:"Giudici",slug:"reinaldo-giudici",fullName:"Reinaldo Giudici"}],corrections:null},{id:"61989",title:"Clash of Kingdoms: How Do Bacterial Contaminants Thrive in and Interact with Yeasts during Ethanol Production?",doi:"10.5772/intechopen.78413",slug:"clash-of-kingdoms-how-do-bacterial-contaminants-thrive-in-and-interact-with-yeasts-during-ethanol-pr",totalDownloads:1019,totalCrossrefCites:1,totalDimensionsCites:5,hasAltmetrics:0,abstract:"Brazilian fuel ethanol production from sugarcane is one of the largest industrial biotechnological processes in the world. However, in view of the complex chemical nature of this feedstock, as well as the non-aseptic conditions of the process, various stress conditions are imposed to the fermenting yeast. In this chapter, we deemed to elaborate a brief overview of the ethanol production process, and to dissect the chemical nature of sugarcane-based worts, as well as their physiological effects on the fermenting yeasts. Finally, the interplay between yeast and lactic acid bacteria, the two main players in the ethanol fermentation process, is generally discussed.",signatures:"Thiago Olitta Basso and Felipe Senne de Oliveira Lino",downloadPdfUrl:"/chapter/pdf-download/61989",previewPdfUrl:"/chapter/pdf-preview/61989",authors:[{id:"27117",title:"Dr.",name:"Thiago Olitta",surname:"Basso",slug:"thiago-olitta-basso",fullName:"Thiago Olitta Basso"},{id:"257547",title:"MSc.",name:"Felipe Senne De Oliveira",surname:"Lino",slug:"felipe-senne-de-oliveira-lino",fullName:"Felipe Senne De Oliveira Lino"}],corrections:null},{id:"62681",title:"Emerging Physico-Chemical Methods for Biomass Pretreatment",doi:"10.5772/intechopen.79649",slug:"emerging-physico-chemical-methods-for-biomass-pretreatment",totalDownloads:1108,totalCrossrefCites:0,totalDimensionsCites:6,hasAltmetrics:0,abstract:"A major challenge to commercial production of cellulosic ethanol pertains to the cost-effective breakdown of the complex and recalcitrant structure of lignocellulose into its components by pretreatment methods—physical, chemical, physico-chemical, biological and various combinations thereof. The type and conditions of a pretreatment impacts both upstream processes such as size reduction as well as downstream processes such as enzymatic hydrolysis and enzyme loadings, and as such the choice of a pretreatment method for a specific biomass (or mix of materials) is influenced by several factors such as carbohydrate preservation and digestibility, sugar and ethanol yields, energy consumption, equipment and solvent costs, lignin removal and quality, formation of sugar/lignin degradation products, waste production, and water usage, among others. This chapter reviews both well-known and emerging physico-chemical methods of biomass fractionation with regards to process description and applications, advantages and disadvantages, as well as recent innovations employed to improve sugar yields, environmental sustainability and process economics.",signatures:"Edem C. Bensah and Moses Y. Mensah",downloadPdfUrl:"/chapter/pdf-download/62681",previewPdfUrl:"/chapter/pdf-preview/62681",authors:[{id:"243911",title:"M.Sc.",name:"Edem",surname:"Bensah",slug:"edem-bensah",fullName:"Edem Bensah"},{id:"262946",title:"Dr.",name:"Moses",surname:"Mensah",slug:"moses-mensah",fullName:"Moses Mensah"}],corrections:null},{id:"64163",title:"Sugarcane Bagasse Pretreatment Methods for Ethanol Production",doi:"10.5772/intechopen.81656",slug:"sugarcane-bagasse-pretreatment-methods-for-ethanol-production",totalDownloads:2151,totalCrossrefCites:3,totalDimensionsCites:7,hasAltmetrics:0,abstract:"Lignocellulosic biomass such as sugarcane bagasse (SCB) is a renewable and abundant source for ethanol production. Sugarcane bagasse is composed of cellulose, hemicellulose, lignin, extractives, and several inorganic materials. Pretreatment methods of SCB are necessary for the successful conversion of SCB to ethanol. Each pretreatment process has a specific effect on the cellulose, hemicellulose, and lignin fraction. The conversion of SCB to ethanol typically consists of four main steps: pretreatment, enzymatic hydrolysis, fermentation, and distillation. Hence, different pretreatment methods should be chosen according to the process design for the following hydrolysis, fermentation, and distillation steps. There are many types of pretreatments such as physical, chemical, physico-chemical, and biological pretreatments. This chapter reviews the chemical and physico-chemical pretreatment methods of SCB which are often used by many researchers for ethanol production. Different chemical and physico-chemical pretreatment methods of SCB are introduced and discussed based on relevance to the sugar yield, lignin removal, and cellulose content after pretreatment.",signatures:"Saleh Sabiha-Hanim and Nurul Asyikin Abd Halim",downloadPdfUrl:"/chapter/pdf-download/64163",previewPdfUrl:"/chapter/pdf-preview/64163",authors:[{id:"189252",title:"Associate Prof.",name:"Sabiha Hanim",surname:"Saleh",slug:"sabiha-hanim-saleh",fullName:"Sabiha Hanim Saleh"},{id:"266083",title:"Ms.",name:"Nurul Asyikin",surname:"Abd Halim",slug:"nurul-asyikin-abd-halim",fullName:"Nurul Asyikin Abd Halim"}],corrections:null},{id:"61522",title:"Potential of Weed Biomass for Bioethanol Production",doi:"10.5772/intechopen.77507",slug:"potential-of-weed-biomass-for-bioethanol-production",totalDownloads:1349,totalCrossrefCites:3,totalDimensionsCites:4,hasAltmetrics:0,abstract:"Lignocellulosic biomass from weedy plants represents a potential alternative feedstock for economic production of bioethanol. Large numbers of weedy plant species are growing all over the world. Characteristics such as high dry matter yield, low water and nutrient requirements for growth, and cellulose contents make weedy plants very attractive as feedstock for bioethanol production. However, like other lignocellulosic feedstock, the complex structure presents resistance and recalcitrance to processes of conversion to bioethanol. Several weedy plants have been studied to determine their physical characteristics and suitability for bioethanol production. Different conversion techniques have been employed to increase monomer sugars and hence bioethanol yield. This chapter discusses processes and current research activities in bioconversion of weed biomass to bioethanol.",signatures:"Siripong Premjet",downloadPdfUrl:"/chapter/pdf-download/61522",previewPdfUrl:"/chapter/pdf-preview/61522",authors:[{id:"244201",title:"Associate Prof.",name:"Siripong",surname:"Premjet",slug:"siripong-premjet",fullName:"Siripong Premjet"}],corrections:null},{id:"61810",title:"Progress in Second Generation Ethanol Production with Thermophilic Bacteria",doi:"10.5772/intechopen.78020",slug:"progress-in-second-generation-ethanol-production-with-thermophilic-bacteria",totalDownloads:981,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Thermophilic bacteria have gained increased attention as prospective organisms for bioethanol production from lignocellulosic biomass due to their broad substrate spectra including many of the hexoses pentoses, and disaccharides found in biomass and biomass hydrolysates, fast growth rates, and high tolerance for extreme cultivation conditions. Apart from optimizing the ethanol production by varying physiological parameters, genetic engineering methods have been applied. This review focuses upon those thermophilic anaerobes recognized as being highly ethanologenic, their metabolism, and the importance of various culture parameters affecting ethanol yields, such as the partial pressure of hydrogen, pH, substrate inhibition, and ethanol tolerance. Also, recent developments in evolutionary adaptation and genetic engineering of thermophilic anaerobes are addressed.",signatures:"Sean Michael Scully and Johann Orlygsson",downloadPdfUrl:"/chapter/pdf-download/61810",previewPdfUrl:"/chapter/pdf-preview/61810",authors:[{id:"39160",title:"Dr.",name:"Johann",surname:"Orlygsson",slug:"johann-orlygsson",fullName:"Johann Orlygsson"},{id:"244849",title:"MSc.",name:"Sean",surname:"Scully",slug:"sean-scully",fullName:"Sean Scully"}],corrections:null},{id:"62701",title:"Potential of Thermotolerant Ethanologenic Yeasts Isolated from ASEAN Countries and Their Application in High- Temperature Fermentation",doi:"10.5772/intechopen.79144",slug:"potential-of-thermotolerant-ethanologenic-yeasts-isolated-from-asean-countries-and-their-application",totalDownloads:1100,totalCrossrefCites:4,totalDimensionsCites:8,hasAltmetrics:0,abstract:"Thermotolerant ethanologenic yeasts receive attention as alternative bio-ethanol producers to traditionally used yeast, Saccharomyces cerevisiae. Their utilization is expected to provide several benefits for bio-ethanol production due to their characteristics and robustness. They have been isolated from a wide variety of environments in a number of ASEAN countries: Thailand, Vietnam, Laos, and Indonesia. One of these yeasts, Kluyveromyces marxianus has been investigated regarding characteristics. Some strains efficiently utilize xylose, which is a main component of the 2nd generation biomass. In addition, the genetic basis of K. marxianus has been revealed by genomic sequencing and is exploited for further improvement of the strains by thermal adaptation or gene engineering techniques. Moreover, the glucose repression of K. marxianus and its mechanisms has been investigated. Results suggest that K. marxianus is an alternative to S. cerevisiae in next-generation bio-ethanol production industry. Indeed, we have succeeded to apply K. marxianus for bio-ethanol production in a newly developed process, which combines high-temperature fermentation with simultaneous fermentation and distillation under low pressure. This chapter aims to provide valuable information on thermotolerant ethanologenic yeasts and their application, which may direct the economic bioproduction of ethanol and other useful materials in the future.",signatures:"Tomoyuki Kosaka, Noppon Lertwattanasakul, Nadchanok\nRodrussamee, Mochamad Nurcholis, Ngo Thi Phuong Dung,\nChansom Keo-Oudone, Masayuki Murata, Peter Götz, Constantinos\nTheodoropoulos, Suprayogi, Jaya Mahar Maligan, Savitree Limtong\nand Mamoru Yamada",downloadPdfUrl:"/chapter/pdf-download/62701",previewPdfUrl:"/chapter/pdf-preview/62701",authors:[{id:"105925",title:"Prof.",name:"Mamoru",surname:"Yamada",slug:"mamoru-yamada",fullName:"Mamoru Yamada"},{id:"136147",title:"Dr.",name:"Tomoyuki",surname:"Kosaka",slug:"tomoyuki-kosaka",fullName:"Tomoyuki Kosaka"},{id:"255321",title:"Mr.",name:"Mochamad",surname:"Nurcholis",slug:"mochamad-nurcholis",fullName:"Mochamad Nurcholis"},{id:"259242",title:"Dr.",name:"Noppon",surname:"Lertwattanasakul",slug:"noppon-lertwattanasakul",fullName:"Noppon Lertwattanasakul"},{id:"259243",title:"Dr.",name:"Nadchanok",surname:"Rodrussamee",slug:"nadchanok-rodrussamee",fullName:"Nadchanok Rodrussamee"},{id:"259244",title:"Dr.",name:"Ngo Thi Phuong",surname:"Dung",slug:"ngo-thi-phuong-dung",fullName:"Ngo Thi Phuong Dung"},{id:"259245",title:"Ms.",name:"Chansom",surname:"Keo-odone",slug:"chansom-keo-odone",fullName:"Chansom Keo-odone"},{id:"259246",title:"Dr.",name:"Masayuki",surname:"Murata",slug:"masayuki-murata",fullName:"Masayuki Murata"},{id:"259247",title:"Prof.",name:"Peter",surname:"Götz",slug:"peter-gotz",fullName:"Peter Götz"},{id:"259249",title:"Prof.",name:"Constantinos",surname:"Theodoropoulos",slug:"constantinos-theodoropoulos",fullName:"Constantinos Theodoropoulos"},{id:"259250",title:"Dr.",name:"Suprayogi",surname:"Suprayogi",slug:"suprayogi-suprayogi",fullName:"Suprayogi Suprayogi"},{id:"259251",title:"Mr.",name:"Jaya Mahar",surname:"Maligan",slug:"jaya-mahar-maligan",fullName:"Jaya Mahar Maligan"},{id:"259252",title:"Prof.",name:"Savitree",surname:"Limtong",slug:"savitree-limtong",fullName:"Savitree Limtong"}],corrections:null},{id:"61644",title:"Enhanced Ethanol Production of Saccharomyces cerevisiae Induced by Cold Plasma at Atmospheric Air Pressure",doi:"10.5772/intechopen.78019",slug:"enhanced-ethanol-production-of-saccharomyces-cerevisiae-induced-by-cold-plasma-at-atmospheric-air-pr",totalDownloads:828,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"In this study, cold plasma at atmospheric pressure, as a novel approach of bioprocess intensification, was used to induce yeast for the improvement of ethanol production. Response surface methodology (RSM) was used to optimize the discharge-associated parameters of cold plasma for the purpose of maximizing the ethanol yield achieved by cold plasma-treated S. cerevisiae. The resulting yield of ethanol reached to 0.48 g g−1 under optimized parameters of plasma exposure time of 1 min, power voltage of 26 V, and an exposed sample volume of 9 mL, which represented an increase of 33% over control. Compared with non-exposed cells, cells exposed with plasma for 1 min presented a notable increment in cytoplasmic free Ca2+, when these exposed cells showed the significant increase in membrane potential. At the same time, ATP level decreased by about 40%, resulting in about 60% reduction in NADH. Taken together, these data suggested that the mechanism that air cold plasma raised plasma membrane potential, which led to increases in cytosolic Ca2+ concentration. Furthermore, the cofactor metabolism, such as ATP and NADH, was subjected to regulation that was mediated by Ca2+, ultimately improving yeast productivity. This may have a underlying and broad utilization in enhancing bioconversion capability of microbe in the next few years.",signatures:"Xiao-Yu Dong",downloadPdfUrl:"/chapter/pdf-download/61644",previewPdfUrl:"/chapter/pdf-preview/61644",authors:[{id:"246607",title:"Prof.",name:"Xiao-Yu",surname:"Dong",slug:"xiao-yu-dong",fullName:"Xiao-Yu Dong"}],corrections:null},{id:"62217",title:"High Hydrostatic Pressure Process to Improve Ethanol Production",doi:"10.5772/intechopen.78712",slug:"high-hydrostatic-pressure-process-to-improve-ethanol-production",totalDownloads:1154,totalCrossrefCites:2,totalDimensionsCites:3,hasAltmetrics:0,abstract:"The use of high hydrostatic pressure (HHP) is an interesting approach to optimize the production of both first- and second-generation ethanol. It may be applied on Saccharomyces cerevisiae cells to enhance the fermentation pathway and on the lignocellulosic biomass to increase sugar release. HHP has a wide effect on many biological processes, such as growth, division and cellular viability. Actually, conformation, stability, polymerization and depolymerization of proteins are affected by HHP as well as lipid packaging. Moreover, transcriptional profile analysis indicates an activation of the general stress response. In yeast, HHP higher than 100 MPa leads to significant morphological and physiological alteration, and loss of cellular viability occurs over 200 MPa. A yield rate increase in ethanol production occurs at pressures of 10–50 MPa, but over 87 MPa alcoholic fermentation is interrupted.",signatures:"Ane Catarine Tosi-Costa, Cárita Turbay-Vasconcelos, Luiza Adami,\nLuiza Favarato, Maria Bolivar-Telleria, Tarcio Carneiro, Alexandre\nSantos, Alberto R. Fernandes and Patricia M.B. Fernandes",downloadPdfUrl:"/chapter/pdf-download/62217",previewPdfUrl:"/chapter/pdf-preview/62217",authors:[{id:"250087",title:"Prof.",name:"Patricia",surname:"Fernandes",slug:"patricia-fernandes",fullName:"Patricia Fernandes"},{id:"258237",title:"MSc.",name:"Ane Catarine",surname:"Tosi-Costa",slug:"ane-catarine-tosi-costa",fullName:"Ane Catarine Tosi-Costa"},{id:"258238",title:"BSc.",name:"Carita",surname:"Turbay-Vasconcelos",slug:"carita-turbay-vasconcelos",fullName:"Carita Turbay-Vasconcelos"},{id:"258239",title:"Prof.",name:"Antonio Alberto",surname:"R. Fernandes",slug:"antonio-alberto-r.-fernandes",fullName:"Antonio Alberto R. Fernandes"},{id:"258240",title:"Prof.",name:"Alexandre",surname:"Santos",slug:"alexandre-santos",fullName:"Alexandre Santos"},{id:"258241",title:"B.Sc.",name:"Luiza",surname:"Castro",slug:"luiza-castro",fullName:"Luiza Castro"},{id:"258243",title:"MSc.",name:"Tarcio",surname:"Carneiro",slug:"tarcio-carneiro",fullName:"Tarcio Carneiro"},{id:"258244",title:"BSc.",name:"Maria",surname:"Bolivar-Telleria",slug:"maria-bolivar-telleria",fullName:"Maria Bolivar-Telleria"},{id:"258245",title:"BSc.",name:"Luiza",surname:"Favarato",slug:"luiza-favarato",fullName:"Luiza Favarato"}],corrections:null},{id:"61534",title:"Metabolic Engineering of the Model Photoautotrophic Cyanobacterium Synechocystis for Ethanol Production: Optimization Strategies and Challenges",doi:"10.5772/intechopen.77271",slug:"metabolic-engineering-of-the-model-photoautotrophic-cyanobacterium-synechocystis-for-ethanol-product",totalDownloads:1076,totalCrossrefCites:3,totalDimensionsCites:6,hasAltmetrics:0,abstract:"Photoautotrophic ethanol production using model cyanobacteria is an attractive technology that offers potential for sustainable ethanol production as a biofuel. Model strains of Synechocystis PCC6803 have been metabolically engineered to convert central metabolic intermediates such as pyruvate to acetaldehyde via cloned heterologous pyruvate decarboxylase and from acetaldehyde to ethanol via cloned homologous or heterologous alcohol dehydrogenase. While the technology is now proven, strategies are required to increase the ethanol levels through metabolic and genetic engineering and in addition, production and process strategies are required to make the process sustainable. Here we discuss both genetic and molecular strategies in combination with do wnstream strategies that are being applied while also discussing challenges to future application.",signatures:"J. Tony Pembroke, Patricia Armshaw and Michael P. 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The contents of the book will be written by multiple authors and edited by experts in the field.",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:"96ef2d3d8ee32501d05e295c61640048",bookSignature:"",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/12070.jpg",keywords:null,numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"February 28th 2022",dateEndSecondStepPublish:"March 21st 2022",dateEndThirdStepPublish:"May 20th 2022",dateEndFourthStepPublish:"August 8th 2022",dateEndFifthStepPublish:"October 7th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:1,editedByType:null,kuFlag:!1,biosketch:null,coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"9",title:"Computer and Information Science",slug:"computer-and-information-science"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:null},relatedBooks:[{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. 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Molecular docking methodologies can be used to identify the interaction between a small ligand and a target molecule and to determine whether they could behave in combination as the binding site of two or more constituent molecules with a given structure. The comparison of docking molecules for proteins, other drug-like molecules, or even fragments from the original molecule enables a pool of prominent candidates to be calculated with listed values. Interestingly, a wide spectrum of molecular binding interactions can be explored with this technique, including lipid-protein, lipid-lipid, enzyme-substrate, drug-enzyme, drug-nucleic acid, protein-nucleic acid, nucleic acid-nucleic acid, protein-drug, and protein-protein potential affinities, with key functions in every molecular biological or biochemical stage, as well as structural coupling [1, 2].
The analysis of the binding scores between the constituent molecules in molecular recognition is essential to explain the constitutive processes and subsequently suggest a possible therapy in the context of a particular disease. The molecular docking in silico approach seeks the optimization of this process, not only in terms of techniques but also in relation to time and economic resources. For instance, there is no microscope with a sufficient power of resolution to capture an image at the dynamic (real-time) molecular level, and accordingly, theoretical and computational approaches can be used to predict the best binding and most probable trajectories. Faster techniques and reduced resources are related to efficiency, in contrast to in vitro approaches, in which the examination of every synthesized and purified protein can have higher time and material costs. On average, traditional in vitro research can take about a decade to complete and can cost around 800 million USD; in silico method importantly diminishes these costs [3]. As such, due to the difficulties in determining the structures of complexes, in silico approaches, including molecular docking, are suitable for predicting binding modes by investigating thousands of ligand positions using the lowest energy score analyzed.
Since 1975, the development of high-throughput protein purification X-ray crystallography and nuclear magnetic resonance spectroscopy has continued to advance, predominantly contributing to a better understanding of the structural details of macromolecules and complexes with ligands [4]. Molecular docking, as with many other in silico tools, has become more common and easier to apply to the field of drug discovery; however, it is not entirely dependent on molecular structure databases. It is not impossible to work with molecules that are absent from the databases, as they can be modeled by using one or multiple similar structures to build a novel chimeric output that can mimic the original molecule. In the docking process, the parameters can be further adjusted to test the function of the drug molecule versus a particular target molecule.
After the molecular docking has been performed, the software executes a systematic search on the algorithm, in which the ligand conformation is recurrently approached until the minimum energy conformation is identified. The final result will have a negative value of ΔG (U total in kcal/mol), in which a number of electrostatic and van der Waals energy variables will have been synthesized. These energies are related through the interaction between two molecules. This association allows a final scoring function to classify the candidate positions through the driving forces of the specific interactions to be obtained. The structural shape and electrostatic forces of both the ligand and the target molecule at specific binding-site surfaces are key aspects in biological complementarity systems. In the drug discovery field, several key aspects must be considered when predicting whether the molecule will bind with the receptor target, such as the structural shape and electrostatic interactions of the protein-ligand, ligand-ligand, or protein-protein. In this sense, several physicochemical parameters, including the van der Waals forces, Coulombic interactions, and the formation of hydrogen bonds, play relevant roles. The combination of all these values and potential binding is predicted by a docking score. Essentially, for drug design, it is possible to use a rigid system in which a rotational and translational space in six dimensions is explored to fit the ligand into a specific binding structure site [5].
The constantly growing number of biological targets for the design of rational structure-based ligands in public databases has gained interest in the research community. In the drug discovery field, the essential processes in computational docking are the design of the ligand and the search for targets of the existing candidate ligands. The latter are used to predict a reliable binding affinity, in which the best possible physicochemical prediction of how the target and ligand will interact is made. A strategy to enhance the selection of drug candidate ligands is based on the scores obtained from in silico approaches. These scores not only significantly reduce the amount of inefficient compounds synthesized but also decrease the amount of unnecessary biological tests by taking into account valuable information about crucial binding elements in a given ligand-receptor conglomerate. Molecular docking approaches are used to calculate the scores of ligand-binding types and linking affinities. The estimation of reliable ligand-binding associations and modes is a difficult challenge. During the last few decades, the scientific community has gradually shown an increasing interest in molecular docking methods, illustrated by the increase in references and the number of publications in the field [6]. Nevertheless, there is currently no standard consensus regarding the criteria that should be used to classify a docking mode as correct or incorrect. Most docking methods are based on the use of general scoring functions to predict molecular suitability for a wide range of applications. In order to accomplish what is needed, a reliable scoring function, reasonable protein flexibility, and a treatment for ligand conformational changes are required.
In the context of molecular biology, the interactions between molecules are key to understanding the mechanisms that underlie a particular biomedical event. The latest achievements have been the improvement of computational methods essential to the process of drug discovery, modeling in the prelaminar stage, and the actual analysis of putative binding interactions. It is possible to conduct exploratory work by examining the best score function values or by using a large set of multivariate experimental data. In both cases, it is possible to analyze how changes in ligands or macromolecules can have an effect on their interactions by validating the associated biological processes, with the aim of gaining a better understanding of the interplay between the biomolecular functions of the bioactive candidates through the characterization of the kinetics and binding score values imperative to their molecular recognition. In order to better understand the historical and conceptual implications of the development of this interesting and well-established technique, past and present achievements must be considered, as well as the current limitations with the potential to change the course of the technological methods developed in the future. In comparison to “wet lab” experimental procedures such as, e.g., microarray technology or even sequencing, virtual screening is inexpensive and efficient. However, several considerations need to be taken into account [7]. Overall, computational methods have been a recurrent option due to the focus approximation of the analysis.
As one of the most commonly used approaches since the 1980s, the experimental data obtained through molecular docking techniques have grown at an increasing rate since the approach was first established. Programs configured through different algorithms for molecular docking analysis have been developed on an almost yearly basis, significantly improving pharmaceutical research [6]. The first algorithms were designed for protein-protein interactions. Along with the scoring function, which is used to determine the best binding poses, algorithms designed to calculate the best geometrically complementary shapes as rigid bodies are necessary to identify the most favorable orientations and conformational bindings with the potential to confer a putative drug candidate.
The gradual achievement of more powerful and complex algorithms with the addition of further parameters has paralleled computational technological advances over the last few decades. In order to achieve optimum flexibility, in silico methods use different tools with different approaches. Docking software depends on the algorithms employed, which comprise three different kinds: systematic, stochastic, or deterministic.
In the beginning, calculation algorithms that consider docking complexes to be rigid structures were used. In rigid docking, the objective is to match the ligand to the protein receptor, with the main aim being the generation of as many poses as possible in order to achieve the optimum of all poses. Through this process, all possibilities are considered heuristically to identify a group of complementary matches that present the most favorable van der Waals forces between the ligand and the macromolecule receptor. Intermolecular interaction calculations avoid any flexibility but nevertheless have a level of freedom dependent on a 3x3 matrix plus the vector rotation. This means that three rotational and three translational degrees of freedom cover all possible moves in three-dimensional space within the active site. However, no binding is permitted, as the macromolecular structures are simplistically represented as solid structures located under a center of mass and longitude [8].
The earliest work was performed using structural shape contacts, in which the fitting of outlines enables the best possible complementary configuration between two proteins to be identified [9]. A little later, a shape matching strategy algorithm was used by Kuntz and collaborators in UCSF8 to continue searching for possible configurations using the geometric distance between the ligand atoms and the macromolecule or receptor spheres (Figure 1).
Top left, binding site; top right, ligand. Down below conjugate with geometrical fitness functional group related proposed by the earliest docking algorithm model.
In this method, the ideal intersection or match between the ligand and receptor is viewed as a “negative image” that represents the active site. The image is produced by covering the receptor surface region and overlapping spheres with a solvent, in which a part of the overlapping spheres comprises the actual binding site. This constitutes the fundamentals of the DOCK search algorithm [10]. A few years later, Kuntz also developed a more advanced approach by conferring flexibility to the ligand; however, this variant is still categorized as “flexible docking.” Subsequently, the investigation of HIV-1 protease using this approach was notable for leading to the technique’s exponential use in drug discovery [11].
Following the pioneering work from Kuntz, a different approach was taken a decade later in order to develop an improved new geometric recognition method, which was developed through an algorithm called Fourier transformation [12]. For the first time, the molecules could be described by a digital model, allowing their interior and exterior parts to be distinguished. This novel method allows faster calculation by determining the surface of contact, overlap, and approximation using the six degrees of freedom. In this method, molecules are considered rigid bodies, and the changes in structure have the degrees of freedom. This technique makes it possible to process atomic coordinates, and Zdock represents an example of this approach. Nevertheless, rigid-body algorithms are very erratic and ineffective in terms of any structural and conformational change arising due to the interface between the ligand and the receptor. In this context, new alternatives to enable torsions and angle movement became a matter of interest. In the same period, a new semiflexible docking innovation was achieved using the HADDOCK protocol [13], which involves rigid-body docking complemented by semiflexible optimization in order to describe possible torsion angles in the main backbone and side chains. Unlike the previous Fourier transformation method [12], which uses a grid, this method adopts a Cartesian approach with particular coordinates, in which one of the two molecules is flexible and the solvent can be selected. One of the two molecules therefore needs to be small in order to be computationally possible in terms of the number of conformational variations. Other methods also attempt to describe flexible bodies undergoing rotational conformational, rotational, and translational changes, mimicking the nature of biological molecules. In this category, both the ligand and the receptor that are modeled by simulating protocols are flexible. However, the flexibility needs to be lowered to make computational configuration possible. In the end, flexible docking approaches offer a more precise technique capable of imitating in vivo behavior of the possible structural conformations.
In flexible docking, there are two different logarithmic approaches, deterministic incremental construction and stochastic. Systematic incremental construction algorithms are most commonly used, which gradually develop binding predictions on the basis of all possible ligand-binding poses covering all specified areas, e.g., DOCK [14], Glide [15], LUDI [16] FlexX [17], Hammerhead [18], and Surflex [19], in which on-the-fly incremental ligand construction is implemented. In this method, the number of analyses grows in line with increases in the degrees of freedom as part of anchor-and-grow methods. In a different example, in eHiTS, the ligand is fragmented, and each piece is tested for rigid docking, commonly based on library screening for the best conformations to religate the fragments and test their flexibility.
A different approach randomizes probabilistic or stochastic algorithms to selectively reject or accept configurations through the criteria spectrum, in which computational efforts are optimized, e.g., AutoDock [20], DARWIN [21], Monte Carlo [22], and GOLD [23]. By the middle of the 1990s, this technique was the point of origin of a diverse set of methods that are most commonly present in the genetic algorithm, named after Darwin’s theory of evolution, in which the ligand is interpreted as a chromosome and its fragments are considered genes [24]. Every gene exhibits conformational behavior due to its torsional/translational nature. During computational analyses, the information is transmitted and altered through stochastic crossover and mutational events evolving through specific parameters. The changes improve the conformational binding pose from the ligand and the receptor, e.g., Lamarckian (AutoDock). In the case of the Monte Carlo stochastic variant that produces randomized translational conformations, the most thermodynamically stable potential bindings are explored by focusing on the local minimum energy using a decision criteria parameter that is based on a temperature reaction, called Metropolis. The flexibility also alternates with rigid rotation, displaying several parameters at once. A more recent development is the deterministic method, which has been used for Newton equation simulations and also employs Monte Carlo methods that can measure trajectories, using Amber, Charm, and GROMACS; however, this scope forms the focus of the present work, and wide reviews have been provided by other researchers [25, 26, 27].
The drug discovery informatics market had an estimated value of 713.4 million USD in 2016 [28]. The presence of in silico tools that can allow the computation of data flowing from diverse methodology pathways in parsimony with medical chemistry can be synergistic in terms of upgrading the market and are well-known in the scientific literature. In this manner, molecular docking has been consolidated as a useful technique among sequence analysis platforms, molecular modeling, and clinical training management. The use of molecular docking in each of these fields is enhancing drug discovery in the pharmaceutical and biotechnology sector. As it comprises several stages and workflows, the discovery of new drugs relies on in silico tools and molecular docking in particular to simplify the overall process.
A crucial factor is the steadily rising number of structures stored in the Protein Data Bank (PDB). The PDB is the most robust, currently storing over 151,000 structures and counting. The 3D structure information bank includes a large set of proteins, lipids, carbohydrates, and nucleic acids, in both single structures and complexes [29]. On the other hand, nearly a hundred different forms of molecular docking software are available, which offer analogous implementations with various implementation options. There has been rapid progress in developing faster architecture based on graphics processing unit clusters, more adequate algorithms for optimized computational analysis, and the tracking of ligand-receptor binding expressed in scoring functions.
Although there is a need to maintain computational equipment, the associated expenses are certainly lower than the costs of “wet lab” experiments, and molecular docking is therefore an affordable technique. One of the most challenging tasks in bioinformatics sciences is undoubtedly the development of new and effective drugs, which is currently an almost mandatory step before wet lab experiments. In structure-based drug modeling, obtaining the most accurate and efficient model of ligand-receptor binding is a crucial step and is a suitable starting point for further evaluation to test new compounds or drug candidates, but also and no less importantly, to discard the improbable candidates. Molecular-ligand docking is a significant tool in pharmacology at present and an important area of drug discovery that has comprised a central node of important achievements over the current century. As an interdisciplinary process of multiple joint efforts mainly from the pharmaceutical sector, biotechnological companies, and academic researchers, as well as many other fields, the process is highly complex and requires the most accurate and precise tools and methodologies. This has been enhanced by an increasing number of protein coordinates and the high number of available software programs that are constantly evolving with more sophisticated levels and a wider field of applications, in combination with more numerous candidates. In order to discover new drugs, as well as improve the existing ones, it is necessary to understand the targets as well as the nature of the possible drug candidates. In silico bioinformatics approaches have attracted increased interest due to the results of post-genomic era sequencing. Due to the limited set of protein-coding genes, the complexity is much higher due to posttranscriptional modifications, prosthetic groups, multimeric complexes, and other various phenomena, clearly demonstrating the need to better understand their nature to fulfill biomedical objectives. Interestingly this year’s (2019) publications account for the first time a pause in the upper trend of docking publication number (Figure 2). This may be symptomatic on how the future holds already crucial challenges.
Chart bar displaying paper publications per year (1982–2020) (NCBI, accessed on January 12, 2019).
The drug discovery informatics market is estimated to grow from 1.5 billion in 2016 to 2.84 billion by 2022 and may continue expanding. Accordingly, there is currently a rising demand for the discovery and implementation of novel informatics solutions. The major factors driving the expansion of the global market include the transition from pure research to clinical treatment. More skilled professionals, interdisciplinary backgrounds, and the high pricing of informatics software may have a crucial impact on the growing market. At present, a number of well-established applications have been made available for free or as paid software or services. However, many challenges remain to be addressed to enable the full potential of this powerful technique to be realized.
Nevertheless, in the case of pharmacology, the synergistic aspect is an important chemical phenomenon in which two different biomolecules with different origins can have an exponential effect in combination that is greater than their separate effects. If it is determined that a particular structure is more favorable [30] in terms of the docking score and it may be correlated with synergism, this can be secondary, due to the fact that a molecular docking procedure has not been developed to examine it in a particular scoring function. A linear/quadratic formula could be developed to measure synergy by discriminating between synergistic, additive, or antagonistic effects, which can be expressed both qualitatively and quantitatively. In this sense, further work is needed to investigate how the chemosensitivity between a macromolecule and ligand could be detected once more than one ligand is included. Although unmanageable amounts of data make this process difficult, it is possible to analyze the small targets that are the most restricted to the binding site being examined, especially in drug-protein analysis. System biology models that depend on a drug synergy test need to be developed in a more comprehensive manner, perhaps by including qualitative features in combination with the quantitative. In this sense, a novel input could be developed in computational docking analysis to enable, e.g., the measurement of molecular signaling that has been established to be part of several components, ligands, or targets. These systematic synergy modeling methods could support drug synergy research with the aim of improving the accuracy of experimental results.
An improvement of the molecular structure databases is necessary for further development. Filters are needed to ensure the structural models they contain are of a better quality, as this will influence the reliability of the results. The PDB was established in 1971 as a pioneer crystal structure database, and today it is the most common source for molecular in silico modeling, harboring more than 150,000 experimentally proven 3D models. However, there is no guarantee that the chosen structures are error-free, including even those with excellent geometrical parameters, and this must be taken into account. High-quality statistics are not an indication that the structure is perfect. Therefore, an improvement of their quality, protocols, and validation would allow the construction of better models that could be valuable in the inevitable task of structure refinement. However, a better model will not be more informative in terms of more detailed biological information, which means that the interpretation of a scientist will be necessary. However, the confirmation of outcomes and the precision of the docking tool in a certain interaction can be tested. Although docking strategies have become more complex, false positives are a recurrent issue with this technique, and as such, refining the structures stored in the PDB will undoubtedly lead to an improvement and better results from pharmacodynamics studies [31].
Those who devote their time to molecular docking are well aware of the large number of docking techniques. In the years to come, docking experiments will need to be more consistent in terms of the outputs generated by different docking methods. Using meta-experimental databases, including a large-scale and diverse variety of targets and ligands, comparisons of scoring functions have shown that accuracy and reportability are far from being reached. A standardized common workflow that follows the same procedures and is associated with the same advantages and issues is therefore necessary. A streamlined validation process to define standard test protocols needs to be agreed for every aspect of the docking method; otherwise there will be a lack of reproducibility in the output process used by each research group and for each given software [32].
The interaction model of the ligand and the active site must achieve the most optimum site of recognition. Docking ensembles using rigid proteins can be slightly inaccurate. Through the ensemble, the protein can fluctuate according to the relative energy, with more time spent in the lowered energy structure. On the other hand, the conformations of ligands fluctuate partially, making the whole ensemble more stable. This can be misleading for dockings that are not flexible, due to the fact that a given conformation may not be the most stable choice in the structure. Up-to-date docking scores have been oriented for machine learning scoring and mainly consist of four building blocks: descriptors, a model, a training set, and a test set. Currently, SFCscore, NNscore, or RFscore represents prominent examples of nonlinear and nontrivial correlations of data in order to avoid obstacles to interpretation [33]. Techniques that provide free access to the scoring function are still a minority and more options are needed, particularly those with open access. The number of poses needs to be exhaustive; however, this has not been well-established. In this sense, we can state that the sensitivity of the original conformation of the ligands remains unanswered. Furthermore, in the case of multidomain proteins, proteins are frequently composed of more than a single effector domain, and this should be taken into consideration.
With regard to a different aspect, how water is placed around the binding site is not a straightforward problem to solve, although recent studies have proposed the use of this parameter as functionally valid in specific contexts [34] within and around the conglomerate binding site. X-ray crystallography is the most extensively used tool for predicting 3D conformational structure; however, the actual output is only partially informative, due to the fact that the density limits are out of resolution and, on occasion, the electron density can be of insufficient quality. Future efforts need to endorse novel alternatives to increase the capacity and parameters that can be used in every aspect of a given analysis, not only in terms of water but also the physiological solutes found in nature and even protonation, in addition to the pH potency spectra.
An understanding of the biological functions and roles of a protein in a particular cell or tissue is highly relevant in determining the role of a protein’s structure, including all of its functional domains. Genome-wide studies have demonstrated that multidomains are present in over 70% of eukaryotic proteins. Nevertheless, protein-folding studies usually consider only single domains and are therefore not focused on the mechanisms in multidomains that can even influence the folding structure [34]. Very crucial obstacles are involved in multidomain docking analyses. In some examples, the understanding of intermolecular movement can be restricted by rigid docking methodologies that lack the ability to consider the effect of multiple domains in a single macromolecule. A given protein is not always present in a static and simplistic single conformational shape but can be present in a collection of scaffolds, stages, and intersections of conformational shapes. As a consequence, the free energy landscape can be profoundly affected, distinctively changing the scoring function’s output. This continues to present a major issue [35].
To improve modeling, the role played by multiple molecules in the context of a certain reaction is an indispensable step that must be considered. At the current stage of technology, this does not fall under the current scope of molecular docking, due to the fact that the processes are far too complex and it is difficult to manage all of the interactions that occur during a molecular binding and reaction. In order to mimic how chemistry works in nature, the inclusion of more than two factors (ligand/macromolecule) where methodologically possible would be a priority to enable the possible interactions in a molecular group to be predicted. Although a few software packages use this approach, in the future, it needs to become more common in other methods to address the binding modes of ligands in assessments with higher stoichiometry using multiple ligand complexes against the molecular target. Additionally, as stated earlier in this work, it would be of great interest to evaluate the synergy of ligand combination conjugates.
Over the last four decades, molecular docking has improved quite remarkably, contributing to the enhancement and improvement of pharmacology in addition to many different areas of applied and molecular biology. After the first complete draft of the Human Genome Project was announced in 2003, the scientific community concluded that there are far fewer protein-coding genes than expected and it has therefore been swift to study how molecules interact by investigating more possible target bindings of a given molecule. The increasing demand for molecular docking has paralleled the revolutionary advancement of its technological background. Nevertheless, several biochemical and physical properties of proteins, particularly at the surface of contact, need to be included in docking algorithms in conjunction with those already present. On the other hand, the question of how to diminish unnecessary calculations and outputs from undesirable rotations and therefore translations is a big challenge to be considered in the near future, especially in virtual screening. The right implementation needs to be standardized, and closer multi- and interdisciplinary teams must overcome this challenge in order to fine-tune this already widely explored technique.
In the modern era, the demand for lightweight material products is being increased in industries e.g. aerospace [1, 2], automobiles [3, 4], buildings [5, 6], trains [7, 8], forged connecting rods and pistons [9], bridges [10], naval [11, 12, 13], etc. for a high living standard (see Figure 1). The researchers are dedicating high effort to increase the strength to weight ratio by grain refinement through applying heat treatments [14, 15, 16, 17, 18, 19, 20], mechanical processing [21, 22], and a combination of both i.e. thermomechanical processing (TMP) [23, 24, 25, 26, 27]. TMP methods are being used in the manufacturing unit to fulfill requirements of grain refinement of materials and create optimum semi-finished and finished products for the applications. The grain size of steels is an important factor that affects all aspects of the mechanical, chemical, and physical behavior of metals to the surrounding media. It is well known that the smaller grains support an increase in grain boundaries in the matrix. In particular, according to the Hall-patch law, the reduction in grain size improves material properties like strength Eq. (1), hardness, and impact toughness except for the ductility of steels [28].
Some important examples of industrial applications which developed using metal forming processes.
Where: σi = friction stress, D = grain diameter, KY = yield coefficient or “locking parameter” that shows the relative hardening contribution of grain boundaries.
Some of the major metal processing steps are often involved such as rolling, forging methods with wide temperature ranges (cold, warm and hot deformation temperature ranges) for the grain refinements [26, 27, 29, 30, 31, 32]. The high-pressure torsion, equal channel angular pressing (ECAP), direct/indirect extrusion methods etc. are being used for ultrafine grains in which plastic transformation reaches over strain 1 through severe plastic deformation (SPD) [33, 34, 35]. In this SPD processes, the large shear stress involved usually results in a complex stress state resulting in a high defect density and homogeneous ultrafine grains.
During metal forming processing, the steel experiences different metallurgical phenomena like work hardening, dynamic recovery, dynamic recrystallization, flow instabilities, etc. [32, 36, 37, 38]. The effect of these metallurgical phenomena can be understood through the interpretation of flow curves [26, 31, 39, 40]. Where, the flow stress dependent on various processing parameters such as temperature, strain rate, and strain, etc. that can typically been described via constitutive equation.
This chapter focuses on plastic deformation behavior which can be controlled through processing parameters that affect microstructure refinement and associated mechanical properties of metals and steels during forming.
A schematic diagram of rolling, forging, and high-pressure torsion (HPT) is shown in Figure 2. These represent basic processes within metals engineering, which change the shape and microstructure through plastic deformation for different products and applications. Figure 2a illustrates the rolling process setup, where the billet is pulled out between pairs of rollers which reduce the thickness of plates and grain size as well as defects like porosity and inclusions of the billet. The resulting refined grains are found to be elongated along the longitudinal direction. In the forging process, the force is imposed on objects either by hammer and anvil or in a large forging tool (called drop hammer) which results in desired and controlled shape changes (Figure 2b). Eventually, the HPT setup is one kind of torsion process in which material undergoes severe plastic deformation via applying both compressive force and twisting action concurrently under high pressure (Figure 2c). The sample for SPD is located between two anvils, where the top anvil provides a compressive force on the sample while the bottom side anvil rotates along on axis. This setup generates shear strains in the object which are responsible for the development of ultrafine grains. Therefore these setups can be supportive of favorable mechanical properties and good product performance.
Schematic diagram of metal forming processes (a) forging, (b) rolling, (c) high-pressure torsion [
Important experimental machines, being used for a wide range of strain rates are listed in Table 1. In this list, the Gleeble machine can be used for axial compression testing with the strain rate between 0.001 to 100 for standard samples with a diameter of 10 mm and a length of 15 mm. It should be noted that much higher strain rates up to 3000 are feasible when a shorter sample, typically less than 1 mm, is chosen. A wide range of strain rates can be achieved using other compression testing machines, Cam plastometer, Slip Hopkin, Taylor, and gas gun machine. Some important torsion test setups are listed for shear testing with a wide range of strain rates within the framework of SPD. All of the listed setups are supportive for controlled and taylored TMP in order to achieve an optimized balance of processing costs, time, and materials properties for various industrial applications.
Hot compression testing | |
---|---|
Strain rate (1/s) | Machine details |
10−3 to <5 | Basic unit, Gleeble |
10−2 to 100 <3x102 | Hydrawedge unit standard specimen ϕ10 x L15 mm modified specimen ϕ10 x L0.5 mm |
0.1 to 5x102 | Cam Plastometer and Drop Test |
2x102 to 104 | Split Hopkinson Pressure Bar |
103 to 105 | Taylor impact machine |
More than 105 | Gas gun (single & two-stage) |
Torsion/Multiaxial/Shear testing | |
<10−1 | Conventional shear machine |
10−1 to 102 | Hydrawedge unit, Gleeble |
10−1 to 103 | Torsion unit, Gleeble |
102 to 104 | Split Hopkinson Pressure Bar |
103 to 104 | Double-notch Shear and Punch |
104 to 107 | Pressure-shear plate impact machine |
Wide range of hot compression test setups [42].
The morphology of materials can be defined through shape, size, and structure that plays an important role in both mechanical and corrosion resistance properties. It is well known that all materials are composed of atoms that are arranged in short/long-range order with regular/irregular patterns, those solids are familiar as crystalline and non-crystalline, respectively. The crystalline metals with different crystal structures, such as body-centered cubic, face-centered cubic, or hexagonally closed packed, are prorated into the single crystal and polycrystalline categories. Conversely, most polycrystalline metals are composed of a collection of many small single crystals named grains and are similar to pomegranate fruit, which is made up of many small seeds (see Figure 3a). The grains are separated from each other by grain boundaries while preserving the integrity of the metal. Similarly Figure 3b shows one grain (shown by yellow dotted line) that has a subgroup of several laths, and every lath having several crystal atoms.
The photographs of (a) pomegranate fruit, which compound of grains and separated by grain boundary like metal structure, (b) high strength steel structure consists of bainitic ferrite and martensite [
We know that the plastic deformation permanently changes the dimension and shape of metal, whereas in terms of microstructural changes only the number density of dislocations increases, whereas crystal structures including lattice parameters of metals typically remain unchanged. Slip and twinning processes, which are shown in a simple model presentation in Figure 4, are responsible for this macroscopic change of shape and dimensions. Slip implicates sliding of abutting blocks of a crystal along definite crystallographic planes, called slip planes. A slip occurs when shear stress applied to the material exceeds a critical value. During slip, each atom usually moves the same integral number of atomic distances along the slip plane producing a step, without change of the crystal orientation (Figure 4b). Grain boundaries represent obstacles for the slip movement as the slip direction, according to Figure 4a, will be usually changed across the boundary. This implies that the strength of polycrystalline materials will be higher than that of a single crystal of the same material.
Schematic representation of slip and twinning mechanisms in metals during plastic deformation (a) original position of atoms within a crystal lattice, (b) atoms movement by slip, (c) atoms movement by twinning [
In twinning, each atom moves by only a fraction of an interatomic distance relative to its neighboring atoms (see Figure 4c). The twinned portion of the crystal is a mirror image of the parent crystal. The orientation of the twinned region is however different from the untwinned region (Figure 4a).
Metallurgical incidents during the TMP may act statically or dynamically on the material. This depends upon the rate of load and temperature conditions and strongly affects grain refinement. Microstructural evolution during TMP largely depends on the ability of dislocation movement during plastic deformation, which has consequently also a considerable impact on the mechanical properties of materials. The terminology of several mechanisms related to TMP is introduced in the following. These can be understood with the help of the flow stress–strain diagram (Figure 5) interpretation [44]. The flow stresses σc, σp, and σs mean the critical, peak, and steady state conditions, respectively. The combined effect of work hardening (WH) and softening mechanisms on flow curves are categorized into distinct regions: I) hardening, II) critical, III) softening and IV) steady-state. WH and dynamic recovery (DRV) occur in the first region where WH dominates and flow stress rises steeply. The second region is the critical zone where DRV and WH both are decreased and new dynamic recrystallization (DRX) initiates. Subsequently, DRX is clearly observed in the third region associated with softening. The fourth region is a steady-state where only DRX occurs. Key mechanisms and their terminology are treated in detail in the following.
Schematic flow stress–strain diagram [
Work hardening (WH) is also called strain hardening or cold hardening. It is the process of making a metal stronger and harder below its recrystallization temperature by increasing dislocation density via plastic deformation. Dislocations will be pinned by each other. Also, as a consequence this highly “faulted” microstructure will prevent the propagation of cracks. With increasing the temperature, the chance of rearrangement of matter and also dislocations is higher which contributes to lower strength at increased ductility.
Recovery is a softening process that refers to the relieve of part of the internal energy stored within the microstructure, taking place before recrystallization in a deformed material. It normally occurs above the recrystallization temperature where the movement of atoms, i.e. the atomic mobilities and derived diffusion is considerably facilitated. Diffusion increases rapidly with rising temperatures and tends to recover strained regions to the “original” unstrained structure (Figure 6a). The extent of recovery depends, among other parameters, on the stacking fault energy (SFE), the type and amount of solute atoms of the material, particularly in the context of dislocation dissociations, which determine the rate of dislocation climb and cross slip. In low SFE metals, recovery as well as cross slip and climb of dislocation is difficult, while the climb is rapid and significant recovery may occur in metals and alloys with a high SFE [46].
The optical microstructure of deformed stainless steel samples: (a) recovered grains (b) partial recrystallization (c) area of full recrystallization [
Two types of recovery are known, static and dynamic recovery. Static recovery (SRV) occurs at high strain rates where jerky microstructural response of dislocation dynamics prevails. Technologically, this is the case for instance during friction stir welding (FSW) and other torsion processing. Dynamic recovery (DRV) occurs at slower strain rates where thermal activation of the metastable positions within the dislocation structure leads to steady-state during metal processing e.g. hot-rolling, extrusion, and forging processes, It is commonly accepted that both DRV and SRV reduce the stresses through changes in dislocation structure due to subgrain growth, dislocation annihilation, and dislocation rearrangement into lower-energy configurations (such as planar dislocation boundaries). Overall, ductility is improved by recovery, while the strength of materials is reduced [47].
The recrystallization associates with the nucleation of new strain-free grains and their subsequent growth in deformed microstructure when internal energy reaches a critical value (Figure 6b and c). When the recrystallization process arises during deformation processes, it is called dynamic recrystallization (DRX). In contrast, when it takes place after deformation or during post-processing like the annealing process, it is known as static recrystallization (SRX) [48]. When DRX is not completed within deformation, this is termed meta dynamic or post dynamic DRX (mDRX) [48]. Moreover, two types of DRX can be distinguished. In discontinuous DRX (dDRX) strain-free grains nucleate and grow rapidly, thus consuming the surrounding strain hardened matrix, while continuous DRX (cDRX) involves the generation of new grain boundaries by the continuous misorientation of nearby subgrains. The combined effect of cDRX and dDRX phenomena takes place during higher strain conditions which are possible during torsion, other severe plastic deformation processes [29]. Since the rate of annihilation due to dynamic recovery is not sufficient to complete with the strain hardening rate in low SFE materials, the dislocation density increases continuously in this case. Contrary, high SFE materials act in favor for higher mobility of dislocation, and consequently dynamic recovery becomes involved as an operating mechanism [49]. The details of materials and the type of possible phenomena are illustrated in Table 2.
Type of process | Mechanism | Materials type |
---|---|---|
Hot deformation (T > 0.5Tm) | dDRX | Category L & M |
cDRX and DRV | Category H | |
Cold/warm deformation (T < 0.5Tm) | cDRX | All Categories |
Hot torsion (T > 0.5Tm), other SPD processes | DRV + dDRX+cDRX | All Categories |
Where, |
The range of dDRX and cDRX can be understood through the schematic diagram between processing temperature and strain rate (see Figure 7a). dDRX phenomena increase above the melting temperature (Tm) when the strain rate decreases while the cDRX phenomena decrease with decreases in processing temperature and increases in strain rate. cDRX occurs in all SFE materials [53] when the temperature falls below 0.5 Tm, however, the dDRX takes place only in low and medium-range SFE materials above 0.5 Tm wherein dynamic recovery is slow after accessing a critical strain value, as can be seen in Figure 7a [34, 54, 55]. The grain nucleation and growth during dDRX is the same as for primary DRX which occurs during heating in cold-worked materials. Localized nucleation and growth at local grain boundary bulging can be seen in Figure 7b. It is obvious that the dDRX nuclei contain a much lower dislocation density than the deformed region and these nuclei are distinct from highly disturbed substructures with twin boundaries and low angle dislocation sub boundaries.
(a) Schematic correlation between cDRX and dDRX [
One additional terminology has recently been denoted as post-DRX which occurs during the annealing process in deformed materials [55].
Some major metal processing parameters such as temperature, strain rate, and strains that impact steel microstructures and their flow curves are illuminated in detail in the following.
The WH rate enables strengthening and hardening to the materials below the recrystallization temperature. Rapid WH rates are realized in low strain regions due to increases in dislocation density while at later strain increase, the effect starts to decrease due to recrystallization of new strain-free grains [31, 36, 40, 50, 56]. In WH, dislocations are preferably pinned, which will impede crack propagation on the microscale. With increasing temperature, the probability of rearrangement of atoms is higher which assists lower strength but increases the ductility of materials. Samantaray et al. [36] have reported for 316 L stainless steel that the WH rate starts rapidly with increasing temperature and strain rate at a specific value of strain (see Figure 8). The WH rate gradually decreased at higher temperature with increasing strain while it falls more rapidly under lower temperature conditions.
The impact of temperature and strain rate on work hardening rate of stainless steel [
Lin et al. [44] have derived the following model for the influence of dynamic recovery during WH (see Eq. (2)) and dynamic recrystallization Eq. (3) under different deformation conditions within TMP.
Where σ is flow stress; σDRV is steady-state stress due to dynamic recovery; σDRV is steady-state stress due to dynamic recrystallization; σ0 is yield stress; ε is strain; εP is peak strain; εc is critical strain; 𝛺 is coefficient of dynamic recovery.
Generally, the critical strain acknowledgeable for the start of DRX can be calculated either by deformed microstructure or flow stress curves [58], In which flow stress curve analysis are simple and easier while microstructural are complicated. This flow curve analysis method was proposed in 1981 by Mecking et al. [59] and later it developed by Ryan et al. [60] and McQueen et al. [61] emphasize the point where DRX occurs on the flow curves. This method allows to find out the critical strain point where the flow curve changes due to the formation of new strain-free grains via DRX.
The flow stress–strain curve reflects the changes in the material through plastic deformation during dynamic loading [25, 32, 62, 63, 64, 65, 66]. The flow stress can be influenced by several factors like chemical composition, crystal structure (e.g., steel matrix - bcc, fcc, Mg-base - hcp, and others) [50, 67], different phases and compounds [17, 30, 50, 68, 69, 70], grain boundaries [25, 50, 71, 72] as well as imperfections [34, 50, 55, 73, 74]. Other factors such as friction (σf), thermal (σt) and athermal (σa) terms also affect flow stresses, as indicative by relations in Eq. (4) [75].
Where T is temperature, ἐ is strain rate and ε is strain. σa represents the internal stress which occurs due to long range barriers to dislocation motion in the materials, while σf term reflects the stress needed to overcome the lattice friction depending on strain rate and temperature.
In addition, processing temperatures and strain rates are equally important for the plastic deformation behavior. Therefore, the dynamics of TMP can be understood through the investigation of microstructural changes combined with interpretations of trends of flow stress–strain curves which depend on DRV and DRX, and SRX [76, 77]. I.
It is noticed in most cases that flow stress decreases with increase in temperature and depends upon the applied strain rate [27, 32, 36, 78]. In terms of temperature, strain, and strain rates, the flow curves can be expressed by Eq. (5) [75].
Where m stands for strain rate sensitivity, n represents the strain hardening exponent, and K, β represents material constant.
In the following, some flow curve trends of different steels and underlying phenomena are discussed.
Researchers reported that the series of flow curves are subjected to different temperatures and strain rates for different grades of steels [26, 27, 44, 45, 64]. Lin et al. [44] have reported interesting results for hot deformation of 42CrMo grade high strength steel in which they found that flow stress increased with decreasing temperature (Figure 9a) while it increased with strain rates (Figure 9b). At the slower strain rate in different ranges of temperatures, the flow stress will decrease with increase in temperature due to increase in the amount of cross slip screw dislocations and climb of edge dislocations, as well as vacancy diffusion. This results in an increase of grain boundary mobility and energy accumulation at boundaries for the nucleation and growth in DRX grains and dislocation annihilation which is responsible for the decrease in flow stress [27, 64].
The true stress–strain curves at different temperatures and strain rates for 42CrMo steel [
Kumar et al. [27] have found for hot deformed condition in high strength steel that flow stress increases continuously at lower deformation temperature (750–850°C) due to continuation of work hardening phenomena High temperature showed the higher steady-state condition where DRX was dominant. While both DRV and DRX were dominant at all strain rates with decreasing temperature, the dDRX phenomena was more prominent at slow strain rate (0.001 s-1) at 900°C due to nucleation of unstrained grains that occurs normally in low SFE high strength steels. A flow curve without pronounced peak stress, but which exhibits a steady-state, is generally associated with dynamic recovery being the dominant restoration mechanism [79].
Zhang et al. [31] have reported that several original grains were broken and recrystallized new grains showed up along the grain boundaries at the deformed condition at 900°C with a high strain rate 10 s−1, which indicates that the deformed morphology is inhomogeneous. In contrast, at the same temperature but with a lower strain rate (1 s−1), DRX was observed along the grain boundaries. This is due to local temperature rise within the samples during deformation. It is interesting to note that at the initial stage of strain, the flow stress increases steeply due to work hardening phenomena in materials having higher carbon content and less austenite stabilizing alloying elements. It reaches a peak value before going into the softening stage.
Souza et al. [45] have documented results of hot deformation testing at elevated temperatures with different strain rates in austenitic stainless steel. Also, some differences could be seen in the work hardening phenomena; the slopes of the flow stress curves changed. In the initial work hardening region, the increase of dislocation density during deformation is controlled by the competition between storage and annihilation of dislocations, i.e. opposing contributions of work hardening and the dynamic recovery due to the change of dislocation density with deformation.
Severe plastic deformation where metal grains are heavily deformed is realized by using several setups of plastic deformations like high-pressure torsion, equal channel angle pressing, multi-axial forging, twist extrusion, accumulated roll bending, and constrained groove pressing [22, 34, 80]. Severe deformation produces not only a strong direct impact on the mechanical properties i.e. high strength, low-temperature toughness, superior plasticity, good ductility, and good wear resistance of high manganese grades steel but also on other important properties such as thermal stability, diffusion, radiation tolerance, and corrosion properties, which are indirectly associated with material stability and durability.
The high manganese steels (Mn) are advanced high strength austenitic steels that contain Mn between 3 to 31% wt. These steels are known as Hadfield steel, damping steel, complex steel, transformation induced plasticity steel (TRIP), and twinning induced plasticity steel (TWIP) [81, 82]. In all of these, Hadfield steel was firstly discovered in 1882 by Sir Robert Hadfield [83] while TWIP steel is one of the latest fully austenitic steel which is developed in the early 1990s by Japanese steelmakers Kobo steel, Nippon, and Sumitomo steel organizations.
It is well known that ultrafine and nanocrystalline structure depends on three mechanisms; martensitic transformation, dislocation motion, and twinning and twin evolution where stacking fault energy (SFE) of material plays an important role. Figure 10 reflects the relation between strain-induced mechanism vs. temperature and SFE for Fe-20Mn-4Cr-0.5C steel. It shows that retained austenite can be converted into ε-martensite and strain-induced by a twinning mechanism at a lower temperature. Thus, the calculation of martensitic start temperature
Effect of SFE and temperature on deformation mechanism in Fe-20Mn-4Cr-0.5C steel [
Allain et al. [86] reported results for Fe-22Mn-0.06C steel where the temperature influences the SFE values and strain-induced mechanism, which can be seen in Table 3. The strain hardening and mechanical behavior of steels strongly depend on the SFE, which is responsible for the activation energy of a deformation mechanism [87].
Temperature, K | SFE value, mJ/m2 | Plasticity mechanism |
---|---|---|
77 | 10 | Dislocation gliding |
293 | 19 | Dislocation gliding and twinning |
673 | 80 | Dislocation gliding and ε-martensitic transformation. |
The deformation mechanism at different temperatures for Fe-22Mn-0.6C steel [86].
The mechanical properties of Hadfield Mn austenitic steels can be improved through high rate strain hardening where two phenomena (i.e. dislocation accumulation and twinning) act preferentially during plastic deformation [82]. This is attributed to the strain hardening transformation where austenite phase transforms into ε or α-martersite, and twinning, dynamic strain aging, dispute between dislocations with stacking faults occurs. In this connection, Yan et al. [88] have tried to improve the hardness values by shot pinning method, whereby hardness values could be increased with increasing in operation time. This was attributed to the increment in density of dislocations, dislocation accumulation, and formation of twinning. The influence of higher strain rate (between 103 to 105/s) attains great impact on mechanical behavior and wear resistance properties of high austenitic Mn steel which may be linked to dynamic strain aging and may delay fracture [81, 89, 90, 91, 92, 93].
Over the past few years, many researchers have reported work on TRIP and TWIP steels and achieved better mechanical properties by plastic deformation at high strains (more than 1) [22, 73, 74, 81, 89, 91, 94, 95, 96]. Both TRIP and TWIP steels are fully austenitic steels with less carbon content than hadfield steel. The initial microstructure of TRIP steel is consisted of martensite, bainite and ferrite with retained austenite. The fraction of carbon enriched retained austenite in TRIP steels is between 5 to 30% which transforms into martensite by displacive mechanism during SPD process. This behavior has attained great improvement in strength and toughness properties [96, 97].
A critical issue remains hydrogen embrittlement in TRIP steels, promoted by a displacive mechanism where the relevance of different solubility and diffusivity in the parent austenite has been discussed [96].
Sevsek et al. [90] reported the effect of strain rate on medium Mn X6MnAl12–3 steel. The softer austenite region was strained locally and transformed into martensite which depended on the strain rate sensibility. The deformation induced phase transformation of austenite to martensite is partially suppressed at lower and higher strain rates. The impact of high strains in fully austenitic Fe-22Mn-0.6C steel is predominantly controlled by twinning plasticity mechanism (see Figure 11) as suggested by Jacob et al. [81]. The initial microstructure of Fe-22Mn-0.6C steel is a single-phase austenitic steel with few twinned grains (Figure 11a). They found that the fraction of twinning is increased with increasing strains (Figure 11b–d), where most of the internal energy was used for recrystallization and rest for grain growth [87]. They concluded that twin boundaries act as a hindrance to the dislocation glide providing work hardening effect.
Optical morphologies of Fe-22Mn-0.6C steel subjected to high strain deformation: (a) unstained; strained with (b) 18%, (c) 26%, and (d) 34% [
In the same way, Kang et al. [98] have reported HPT tests for TWIP steel, in which they found that both stress and hardness values increased with an increase in the number of turns. This was related to grain refinement. It was also noticed that the inhomogeneity in morphology and volume of low and high angle grain boundaries increased with the increase in the number of turns, associated with higher stress and lower elongation. The hardness at tip location was found to be lower in all strain ranges due to the lower extent of plastic deformation while at the edge it was higher.
This review chapter focuses on plastic deformation behavior which can be controlled via processing parameters. Their optimisation is responsible for a refined microstructure, typically associated with beneficial mechanical properties of metals and steel due to metal forming. In other words, an appropriate combination of processing parameters enables one to fabricate products that will be defect-free on the microscale, which represents an important demand of customers. It is noticed that the flow stress increases with an increase in strain rate when the temperature is constant while it decreases with an increase in temperature when the strain rate is constant. The dDRX phenomena occur under axial stress hot deformation conditions while cDRX phenomena are linked to torsion deformation conditions during severe plastic deformation at relatively low temperatures. Plastic deformation acts differently in the case of high Mn austenitic TRIP steels where retained austenite is transformed into martensite by displacive mechanism and induced strain forms twinning which improves strength and toughness of steels. In contrast, the high-Mn fully austenitic steel such as TWIP steels generate huge amount of twinning structure by induced high strains and do not show phase transformation like TRIP steels.
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2022",editors:[{id:"79083",title:"Prof.",name:"Hasan",middleName:null,surname:"Tosun",slug:"hasan-tosun",fullName:"Hasan Tosun"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10906",title:"Fungal Reproduction and Growth",subtitle:null,isOpenForSubmission:!1,hash:"f84de0280d54f3b52e3e4585cff24ac1",slug:"fungal-reproduction-and-growth",bookSignature:"Sadia Sultan and Gurmeet Kaur Surindar Singh",coverURL:"https://cdn.intechopen.com/books/images_new/10906.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"176737",title:"Dr.",name:"Sadia",middleName:null,surname:"Sultan",slug:"sadia-sultan",fullName:"Sadia Sultan"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10914",title:"Effective Elimination of Structural Racism",subtitle:null,isOpenForSubmission:!1,hash:"f6a2562646c0fd664aca8335bc3b3e69",slug:"effective-elimination-of-structural-racism",bookSignature:"Erick Guerrero",coverURL:"https://cdn.intechopen.com/books/images_new/10914.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"294761",title:"Dr.",name:"Erick",middleName:null,surname:"Guerrero",slug:"erick-guerrero",fullName:"Erick Guerrero"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10664",title:"Animal Reproduction",subtitle:null,isOpenForSubmission:!1,hash:"2d66af42fb17d0a6556bb9ef28e273c7",slug:"animal-reproduction",bookSignature:"Yusuf Bozkurt and Mustafa Numan Bucak",coverURL:"https://cdn.intechopen.com/books/images_new/10664.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"90846",title:"Prof.",name:"Yusuf",middleName:null,surname:"Bozkurt",slug:"yusuf-bozkurt",fullName:"Yusuf Bozkurt"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10940",title:"Plant Hormones",subtitle:"Recent Advances, New Perspectives and Applications",isOpenForSubmission:!1,hash:"5aae8a345f8047ed528914ff3491f643",slug:"plant-hormones-recent-advances-new-perspectives-and-applications",bookSignature:"Christophe Hano",coverURL:"https://cdn.intechopen.com/books/images_new/10940.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"313856",title:"Dr.",name:"Christophe",middleName:"F.E.",surname:"Hano",slug:"christophe-hano",fullName:"Christophe Hano"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10207",title:"Sexual Abuse",subtitle:"An Interdisciplinary Approach",isOpenForSubmission:!1,hash:"e1ec1d5a7093490df314d7887e0b3809",slug:"sexual-abuse-an-interdisciplinary-approach",bookSignature:"Ersi Kalfoğlu and Sotirios Kalfoglou",coverURL:"https://cdn.intechopen.com/books/images_new/10207.jpg",editedByType:"Edited by",publishedDate:"May 25th 2022",editors:[{id:"68678",title:"Dr.",name:"Ersi",middleName:null,surname:"Kalfoglou",slug:"ersi-kalfoglou",fullName:"Ersi Kalfoglou"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},subject:{topic:{id:"305",title:"Plant Genetics",slug:"agricultural-science-plant-genetics",parent:{id:"27",title:"Agricultural Science",slug:"agricultural-science"},numberOfBooks:3,numberOfSeries:0,numberOfAuthorsAndEditors:100,numberOfWosCitations:26,numberOfCrossrefCitations:22,numberOfDimensionsCitations:39,videoUrl:null,fallbackUrl:null,description:null},booksByTopicFilter:{topicId:"305",sort:"-publishedDate",limit:12,offset:0},booksByTopicCollection:[{type:"book",id:"11016",title:"Maize Genetic Resources",subtitle:"Breeding Strategies and Recent Advances",isOpenForSubmission:!1,hash:"5e0422e2f711a4b69c3cbc3ec31e9afb",slug:"maize-genetic-resources-breeding-strategies-and-recent-advances",bookSignature:"Mohamed Ahmed El-Esawi",coverURL:"https://cdn.intechopen.com/books/images_new/11016.jpg",editedByType:"Edited by",editors:[{id:"191770",title:"Dr.",name:"Mohamed A.",middleName:null,surname:"El-Esawi",slug:"mohamed-a.-el-esawi",fullName:"Mohamed A. El-Esawi"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6166",title:"Maize Germplasm",subtitle:"Characterization and Genetic Approaches for Crop Improvement",isOpenForSubmission:!1,hash:"c417c25f765a026f5ebbf9d3119edb2e",slug:"maize-germplasm-characterization-and-genetic-approaches-for-crop-improvement",bookSignature:"Mohamed El-Esawi",coverURL:"https://cdn.intechopen.com/books/images_new/6166.jpg",editedByType:"Edited by",editors:[{id:"191770",title:"Dr.",name:"Mohamed A.",middleName:null,surname:"El-Esawi",slug:"mohamed-a.-el-esawi",fullName:"Mohamed A. El-Esawi"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"5978",title:"New Perspectives in Forage Crops",subtitle:null,isOpenForSubmission:!1,hash:"129c29bcddd8225ed58e908138b2cda5",slug:"new-perspectives-in-forage-crops",bookSignature:"Ricardo Loiola Edvan and Leilson Rocha Bezerra",coverURL:"https://cdn.intechopen.com/books/images_new/5978.jpg",editedByType:"Edited by",editors:[{id:"283266",title:"Dr.",name:"Ricardo",middleName:null,surname:"Loiola Edvan",slug:"ricardo-loiola-edvan",fullName:"Ricardo Loiola Edvan"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:3,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"55856",doi:"10.5772/intechopen.69616",title:"Halophytes as Forages",slug:"halophytes-as-forages",totalDownloads:1481,totalCrossrefCites:6,totalDimensionsCites:10,abstract:"It is the chemical composition of the halophyte forages and the digestion process of these forages that matter. As the science gets more advanced and the information about these two points becomes clearer, the view of this information might modify our understanding to these processes. Then, some topics might be dropped, and others might be raised or become more obvious. However, the feeding of halophyte forages as per se has several drawbacks and therefore, they have to be fed in mixed rations, fortifying these rations with energy supplements.",book:{id:"5978",slug:"new-perspectives-in-forage-crops",title:"New Perspectives in Forage Crops",fullTitle:"New Perspectives in Forage Crops"},signatures:"Salah A. Attia-Ismail",authors:[{id:"204190",title:"Emeritus Prof.",name:"Salah",middleName:"Abdelaty",surname:"Attia-Ismail",slug:"salah-attia-ismail",fullName:"Salah Attia-Ismail"}]},{id:"56029",doi:"10.5772/intechopen.69614",title:"Production of Spineless Cactus in Brazilian Semiarid",slug:"production-of-spineless-cactus-in-brazilian-semiarid",totalDownloads:1875,totalCrossrefCites:4,totalDimensionsCites:8,abstract:"The term “spineless cactus” is used in Brazil to designate cultivars of Opuntia ficus indica Mill and Nopalea cochenillifera Salm Dyck. The spineless cactus was consolidated in Brazilian semiarid as a strategic fundamental food resource in several production livestock systems, constituting a plant with enormous productive potential. Thus, the spineless cactus has been widely cultivated and used for several decades, by enabling the animal feeding in critical periods of year because of its characteristics, morpho‐anatomical and physiological (CAM), which makes it tolerant to long droughts, being a crop that presents high productivity in droughts conditions, when compared to other forages. Nevertheless, the spineless cactus is a crop relatively picky about soil and climate characteristics of region, presenting greater growth in fertile soils, as well as in regions where nighttime temperatures are cool and the air humidity is relatively high. Although the crop be adapted to long droughts periods, many times it’s necessary to perform irrigation in its production system, mainly in regions of low rainfall, for to supply its water needs, thus ensuring productivity and survival of crop. Therefore, the knowledge of characteristics of plant, as well as of appropriate management techniques to crop, is essential for the good performance of spineless cactus.",book:{id:"5978",slug:"new-perspectives-in-forage-crops",title:"New Perspectives in Forage Crops",fullTitle:"New Perspectives in Forage Crops"},signatures:"Wilma Cristina Cavalcante dos Santos Sá, Edson Mauro Santos,\nJuliana Silva de Oliveira and Alexandre Fernandes Perazzo",authors:[{id:"139631",title:"Dr.",name:"Edson Mauro",middleName:null,surname:"Santos",slug:"edson-mauro-santos",fullName:"Edson Mauro Santos"},{id:"180036",title:"Dr.",name:"Juliana",middleName:null,surname:"Oliveira",slug:"juliana-oliveira",fullName:"Juliana Oliveira"},{id:"203022",title:"MSc.",name:"Wilma",middleName:null,surname:"Sá",slug:"wilma-sa",fullName:"Wilma Sá"},{id:"207265",title:"Dr.",name:"Alexandre",middleName:null,surname:"Perazzo",slug:"alexandre-perazzo",fullName:"Alexandre Perazzo"}]},{id:"57115",doi:"10.5772/intechopen.70345",title:"Best Management Practices (BMPs) for Nitrogen Fertilizer in Forage Grasses",slug:"best-management-practices-bmps-for-nitrogen-fertilizer-in-forage-grasses",totalDownloads:1575,totalCrossrefCites:2,totalDimensionsCites:4,abstract:"There is a concern about the growing population and limitation in natural resources which are taking the population to direct its agricultural systems into a more productive and efficient activity, looking to avoid a negative impact on the surrounding environment. The industry energy expended to produce nitrogen (N)-fertilizer is considered an indirect consumption of energy in agriculture, which is higher with an increasing forage yield. Nitrogen is the key nutrient associated with high-yielding production in forage grass and grain crops. The aim of this chapter is to introduce the best management practices (BMPs) for N-fertilizer application in forage grasses to improve N-use efficiency, since the most economical way to feed livestock is forage plants where its potential biomass production is not well explored. The BMPs basically follow three management practices: (1) soil nutrient availability and forage requirement, (2) fertilizer application, and (3) decrease in nutrient losses from soil. In order to take a decision on applying N-fertilizer to accomplish forage grasses production with social, economic, and environmental benefits, the N-fertilizer use in forage grasses is going to follow the “Right rate, Right source, Right place, and Right time (4R) nutrient stewardship.” The application of the 4R’s nutrients stewardship is directly associated with economic, social, and environmental impact. The capacity of the 4R’s implementation worldwide turns into a best guide to improve the striving of better N-use efficiency in forage grass. The 4R’s are interrelated; thus, the recommendation of N-fertilizer rates cannot be prescribed without the combination of the 4R’s where a whole system to be followed should be considered to decide about N-fertilizer in pasture. Consequently, any decision in one of the 4R’s is going to affect the expected N-fertilizer results and dry matter production.",book:{id:"5978",slug:"new-perspectives-in-forage-crops",title:"New Perspectives in Forage Crops",fullTitle:"New Perspectives in Forage Crops"},signatures:"Ademar Pereira Serra, Marlene Estevão Marchetti, Elisângela Dupas,\nSimone Candido Ensinas, Elaine Reis Pinheiro Lourente, Eulene\nFrancisco da Silva, Roberto Giolo de Almeida, Carla Eloize Carducci\nand Alessandra Mayumi Tokura Alovisi",authors:[{id:"182258",title:"Dr.",name:"Ademar",middleName:"Pereira",surname:"Serra",slug:"ademar-serra",fullName:"Ademar Serra"}]},{id:"56079",doi:"10.5772/intechopen.69760",title:"Alfalfa and Its Symbiosis Responses to Osmotic Stress",slug:"alfalfa-and-its-symbiosis-responses-to-osmotic-stress",totalDownloads:1504,totalCrossrefCites:2,totalDimensionsCites:4,abstract:"Alfalfa (Medicago sativa L.) is one of the most cultivated forage legumes in Morocco thanks to its great adaptation to the climatic conditions of this country, its high protein content and its ability to fix atmospheric nitrogen in symbiosis with rhizobia. Environmental stresses such as drought and salinity constitute a major factor limiting the symbiotic nitrogen fixation and legume productivity. In the last decades, this process has interested scholars in understanding the implication of these strains in legume stress tolerance in order to make these symbioses more efficient under difficult conditions. Seed osmopriming is a great technique in the amelioration of seed germination and seedlings growth in responses to several abiotic stress conditions. In this chapter, the effects of water deficit on the Moroccan alfalfa populations and their symbiotic association with rhizobia were discussed. Besides, osmopriming could make these symbioses more efficient especially under stress conditions.",book:{id:"5978",slug:"new-perspectives-in-forage-crops",title:"New Perspectives in Forage Crops",fullTitle:"New Perspectives in Forage Crops"},signatures:"Mohammed Mouradi, Mohamed Farissi, Abdelaziz Bouizgaren,\nYahya Lahrizi, Ahmed Qaddoury and Cherki Ghoulam",authors:[{id:"204044",title:"Dr.",name:"Mohammed",middleName:null,surname:"Mouradi",slug:"mohammed-mouradi",fullName:"Mohammed Mouradi"}]},{id:"58077",doi:"10.5772/intechopen.72310",title:"Sustainable Pasture Management",slug:"sustainable-pasture-management",totalDownloads:1983,totalCrossrefCites:0,totalDimensionsCites:3,abstract:"Grasslands which are a major part of the global ecosystem, covering 37% of the earth’s terrestrial area, have a significant contribution to food security through providing most of the energy and proteins required by the ruminants used for meat and dairy production. Grasslands are considered to have the potential to play a fundamental role in climate change mitigation, particularly regarding carbon storage and sequestration and for biodiversity preservation. This chapter provides an overview of the causes of the pasture degradation and some essential elements for sustainable management, which aims to improve the quantity and quality of pasture, mitigation of climate change and biodiversity preservation. Another point of this chapter is the grasslands with high nature value that nowadays is a top priority in the European legislation as the European Commission has confirmed that HNV farming will remain a key priority in 2014–2020. We present the situation in Bulgaria because it is one of the first member state countries that have assessed HNV regions and put funding in place to support them.",book:{id:"5978",slug:"new-perspectives-in-forage-crops",title:"New Perspectives in Forage Crops",fullTitle:"New Perspectives in Forage Crops"},signatures:"Atanas Sevov, Chtistina Yancheva and Yanka Kazakova",authors:[{id:"220128",title:"Dr.",name:"Christina",middleName:"Georgieva",surname:"Yancheva",slug:"christina-yancheva",fullName:"Christina Yancheva"},{id:"220129",title:"Dr.",name:"Atanas",middleName:null,surname:"Sevov",slug:"atanas-sevov",fullName:"Atanas Sevov"},{id:"222141",title:"Dr.",name:"Yanka",middleName:null,surname:"Kazakova",slug:"yanka-kazakova",fullName:"Yanka Kazakova"}]}],mostDownloadedChaptersLast30Days:[{id:"58077",title:"Sustainable Pasture Management",slug:"sustainable-pasture-management",totalDownloads:1983,totalCrossrefCites:0,totalDimensionsCites:3,abstract:"Grasslands which are a major part of the global ecosystem, covering 37% of the earth’s terrestrial area, have a significant contribution to food security through providing most of the energy and proteins required by the ruminants used for meat and dairy production. Grasslands are considered to have the potential to play a fundamental role in climate change mitigation, particularly regarding carbon storage and sequestration and for biodiversity preservation. This chapter provides an overview of the causes of the pasture degradation and some essential elements for sustainable management, which aims to improve the quantity and quality of pasture, mitigation of climate change and biodiversity preservation. Another point of this chapter is the grasslands with high nature value that nowadays is a top priority in the European legislation as the European Commission has confirmed that HNV farming will remain a key priority in 2014–2020. We present the situation in Bulgaria because it is one of the first member state countries that have assessed HNV regions and put funding in place to support them.",book:{id:"5978",slug:"new-perspectives-in-forage-crops",title:"New Perspectives in Forage Crops",fullTitle:"New Perspectives in Forage Crops"},signatures:"Atanas Sevov, Chtistina Yancheva and Yanka Kazakova",authors:[{id:"220128",title:"Dr.",name:"Christina",middleName:"Georgieva",surname:"Yancheva",slug:"christina-yancheva",fullName:"Christina Yancheva"},{id:"220129",title:"Dr.",name:"Atanas",middleName:null,surname:"Sevov",slug:"atanas-sevov",fullName:"Atanas Sevov"},{id:"222141",title:"Dr.",name:"Yanka",middleName:null,surname:"Kazakova",slug:"yanka-kazakova",fullName:"Yanka Kazakova"}]},{id:"56856",title:"Polyembryony in Maize: A Complex, Elusive, and Potentially Agronomical Useful Trait",slug:"polyembryony-in-maize-a-complex-elusive-and-potentially-agronomical-useful-trait",totalDownloads:1427,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Polyembryony (PE) is a rare phenomenon in cultivated plant species. Since nineteenth century, several reports have been published on PE in maize. Reports of multiple seedlings developing at embryonic level in laboratory and studies under greenhouse and field conditions have demonstrated the presence of PE in cultivated maize (Zea mays L.). Nevertheless, there is a lack of knowledge about this phenomenon; diverse genetic mechanisms controlling PE in maize have been proposed: Mendelian inheritance of a single gene, interaction between two genes and multiple genes are some of the proposed mechanisms. On the other hand, the presence of two or more embryos per seed confers higher nutrimental quality because these grains have more crude fat and lysine than normal maize kernels. As mentioned above, there is a necessity for more studies about PE maize in order to establish the genetic mechanism responsible for this phenomenon; on the other hand, previous studies showed that PE has potential to generate specialized maize varieties with yield potential and grain quality.",book:{id:"6166",slug:"maize-germplasm-characterization-and-genetic-approaches-for-crop-improvement",title:"Maize Germplasm",fullTitle:"Maize Germplasm - Characterization and Genetic Approaches for Crop Improvement"},signatures:"Mariela R. Michel, Marisol Cruz-Requena, Marselino C. Avendaño-\nSanchez, Víctor M. González-Vazquez, Adriana C. Flores-Gallegos,\nCristóbal N. Aguilar, José Espinoza-Velázquez and Raúl Rodríguez-\nHerrera",authors:[{id:"67240",title:"Prof.",name:"Cristobal",middleName:null,surname:"Aguilar",slug:"cristobal-aguilar",fullName:"Cristobal Aguilar"},{id:"183439",title:"Dr.",name:"Raul",middleName:null,surname:"Rodriguez-Herrera",slug:"raul-rodriguez-herrera",fullName:"Raul Rodriguez-Herrera"},{id:"185302",title:"Dr.",name:"Mariela R.",middleName:null,surname:"Michel",slug:"mariela-r.-michel",fullName:"Mariela R. Michel"},{id:"185304",title:"Dr.",name:"Adriana Carolina",middleName:null,surname:"Flores Gallegos",slug:"adriana-carolina-flores-gallegos",fullName:"Adriana Carolina Flores Gallegos"},{id:"217785",title:"Dr.",name:"Marisol",middleName:null,surname:"Cruz-Requena",slug:"marisol-cruz-requena",fullName:"Marisol Cruz-Requena"},{id:"217786",title:"Mr.",name:"Marcelino",middleName:null,surname:"Avendaño-Sanchez",slug:"marcelino-avendano-sanchez",fullName:"Marcelino Avendaño-Sanchez"},{id:"217787",title:"Mr.",name:"Victor",middleName:null,surname:"González-Vazquez",slug:"victor-gonzalez-vazquez",fullName:"Victor González-Vazquez"},{id:"217788",title:"Dr.",name:"Jose",middleName:null,surname:"Espinoza-Velázquez",slug:"jose-espinoza-velazquez",fullName:"Jose Espinoza-Velázquez"}]},{id:"56029",title:"Production of Spineless Cactus in Brazilian Semiarid",slug:"production-of-spineless-cactus-in-brazilian-semiarid",totalDownloads:1875,totalCrossrefCites:4,totalDimensionsCites:8,abstract:"The term “spineless cactus” is used in Brazil to designate cultivars of Opuntia ficus indica Mill and Nopalea cochenillifera Salm Dyck. The spineless cactus was consolidated in Brazilian semiarid as a strategic fundamental food resource in several production livestock systems, constituting a plant with enormous productive potential. Thus, the spineless cactus has been widely cultivated and used for several decades, by enabling the animal feeding in critical periods of year because of its characteristics, morpho‐anatomical and physiological (CAM), which makes it tolerant to long droughts, being a crop that presents high productivity in droughts conditions, when compared to other forages. Nevertheless, the spineless cactus is a crop relatively picky about soil and climate characteristics of region, presenting greater growth in fertile soils, as well as in regions where nighttime temperatures are cool and the air humidity is relatively high. Although the crop be adapted to long droughts periods, many times it’s necessary to perform irrigation in its production system, mainly in regions of low rainfall, for to supply its water needs, thus ensuring productivity and survival of crop. Therefore, the knowledge of characteristics of plant, as well as of appropriate management techniques to crop, is essential for the good performance of spineless cactus.",book:{id:"5978",slug:"new-perspectives-in-forage-crops",title:"New Perspectives in Forage Crops",fullTitle:"New Perspectives in Forage Crops"},signatures:"Wilma Cristina Cavalcante dos Santos Sá, Edson Mauro Santos,\nJuliana Silva de Oliveira and Alexandre Fernandes Perazzo",authors:[{id:"139631",title:"Dr.",name:"Edson Mauro",middleName:null,surname:"Santos",slug:"edson-mauro-santos",fullName:"Edson Mauro Santos"},{id:"180036",title:"Dr.",name:"Juliana",middleName:null,surname:"Oliveira",slug:"juliana-oliveira",fullName:"Juliana Oliveira"},{id:"203022",title:"MSc.",name:"Wilma",middleName:null,surname:"Sá",slug:"wilma-sa",fullName:"Wilma Sá"},{id:"207265",title:"Dr.",name:"Alexandre",middleName:null,surname:"Perazzo",slug:"alexandre-perazzo",fullName:"Alexandre Perazzo"}]},{id:"57540",title:"Impacts of Nitrogen Fertilization and Conservation Tillage on the Agricultural Soils of the United States: A Review",slug:"impacts-of-nitrogen-fertilization-and-conservation-tillage-on-the-agricultural-soils-of-the-united-s",totalDownloads:1288,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"This review evaluated the effects of nitrogen (N) fertilization and conservation tillage systems on SOC stocks. N fertilizer additions had significant positive impact on SOC content, but the magnitude of this effect differed as a result of varying cropping systems: as cropping intensity increased, measured SOC content between fertilized and control treatment also increased. Significant differences of measured SOC stocks were detected between no till and conventional till, as well as reduced till and conventional till. However, no significant difference was observed between reduced till and no till. The differences of measured SOC content between no till and conventional till appeared to be significantly associated with treatment duration. Crop rotation system, soil texture, and mean annual precipitation did not have significant effects on SOC stocks produced from conventional tillage to no till. The results of this study confirmed that adoption of N fertilizer additions and conservational tillage systems can contribute to increased SOC level and thereby have the potential to mitigate the enhanced greenhouse gas effect. However, the evaluation of net carbon dioxide mitigation potential of these two recommended management practices should be carried out under a full carbon cycle analysis from carbon input to carbon output.",book:{id:"6166",slug:"maize-germplasm-characterization-and-genetic-approaches-for-crop-improvement",title:"Maize Germplasm",fullTitle:"Maize Germplasm - Characterization and Genetic Approaches for Crop Improvement"},signatures:"Meimei Lin",authors:[{id:"208050",title:"Dr.",name:"Meimei",middleName:null,surname:"Lin",slug:"meimei-lin",fullName:"Meimei Lin"}]},{id:"79507",title:"Improving Maize Shelling Operation Using Motorized Mobile Shellers: A Step towards Reducing Postharvest Losses in Low Developing Countries",slug:"improving-maize-shelling-operation-using-motorized-mobile-shellers-em-a-step-towards-reducing-postha",totalDownloads:181,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Maize shelling is still a challenge in low developing countries with more efforts required to advance this operation. In Uganda, motorized immobile maize shellers have been fabricated locally to enhance the shelling operation. However, their performance has not elated the farmers. The unsatisfactory performance is a result of these shellers being fabricated by local artisan with finite understanding of the maize grain characteristics and operation factors to optimize maize shelling. In addition, farmers in these countries have a deficiency of power to operate the motorized maize shellers available. Transportation of these motorized maize shellers is also still a challenge and it imposes an extra cost to the farmers hence reducing their profits from maize growing. In this chapter, we reviewed maize shelling process in low developing countries particularly the categories of maize shelling, maize sheller design requirements, use of equations to design sheller parts, modification of the motorized maize shellers and case studies on the mobile maize shellers, comparing them with immobile maize shellers. 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He completed a one-year Post-Doctoral Fellowship awarded by the DFAIT (Foreign Affairs and International Trade Canada) at the Institute of Biomedical Engineering of the University of New Brunswick (Canada) in 2010. Currently, he is Professor in the Faculty of Electrical Engineering (UFU). He has authored and co-authored more than 200 peer-reviewed publications in Biomedical Engineering. He has been a researcher of The National Council for Scientific and Technological Development (CNPq-Brazil) since 2009. He has served as an ad-hoc consultant for CNPq, CAPES (Coordination for the Improvement of Higher Education Personnel), FINEP (Brazilian Innovation Agency), and other funding bodies on several occasions. He was the Secretary of the Brazilian Society of Biomedical Engineering (SBEB) from 2015 to 2016, President of SBEB (2017-2018) and Vice-President of SBEB (2019-2020). 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Saxena",hash:"d92a4085627bab25ddc7942fbf44cf05",volumeInSeries:2,fullTitle:"Current Perspectives in Human Papillomavirus",editors:[{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",institutionURL:null,country:{name:"India"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},subseriesFiltersForPublishedBooks:[{group:"subseries",caption:"Bacterial Infectious Diseases",value:3,count:2},{group:"subseries",caption:"Parasitic Infectious Diseases",value:5,count:4},{group:"subseries",caption:"Viral Infectious Diseases",value:6,count:7}],publicationYearFilters:[{group:"publicationYear",caption:"2022",value:2022,count:2},{group:"publicationYear",caption:"2021",value:2021,count:4},{group:"publicationYear",caption:"2020",value:2020,count:3},{group:"publicationYear",caption:"2019",value:2019,count:3},{group:"publicationYear",caption:"2018",value:2018,count:1}],authors:{paginationCount:249,paginationItems:[{id:"274452",title:"Dr.",name:"Yousif",middleName:"Mohamed",surname:"Abdallah",slug:"yousif-abdallah",fullName:"Yousif Abdallah",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/274452/images/8324_n.jpg",biography:"I certainly enjoyed my experience in Radiotherapy and Nuclear Medicine, particularly it has been in different institutions and hospitals with different Medical Cultures and allocated resources. Radiotherapy and Nuclear Medicine Technology has always been my aspiration and my life. As years passed I accumulated a tremendous amount of skills and knowledge in Radiotherapy and Nuclear Medicine, Conventional Radiology, Radiation Protection, Bioinformatics Technology, PACS, Image processing, clinically and lecturing that will enable me to provide a valuable service to the community as a Researcher and Consultant in this field. My method of translating this into day to day in clinical practice is non-exhaustible and my habit of exchanging knowledge and expertise with others in those fields is the code and secret of success.",institutionString:null,institution:{name:"Majmaah University",country:{name:"Saudi Arabia"}}},{id:"313277",title:"Dr.",name:"Bartłomiej",middleName:null,surname:"Płaczek",slug:"bartlomiej-placzek",fullName:"Bartłomiej Płaczek",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/313277/images/system/313277.jpg",biography:"Bartłomiej Płaczek, MSc (2002), Ph.D. (2005), Habilitation (2016), is a professor at the University of Silesia, Institute of Computer Science, Poland, and an expert from the National Centre for Research and Development. His research interests include sensor networks, smart sensors, intelligent systems, and image processing with applications in healthcare and medicine. He is the author or co-author of more than seventy papers in peer-reviewed journals and conferences as well as the co-author of several books. He serves as a reviewer for many scientific journals, international conferences, and research foundations. Since 2010, Dr. Placzek has been a reviewer of grants and projects (including EU projects) in the field of information technologies.",institutionString:"University of Silesia",institution:{name:"University of Silesia",country:{name:"Poland"}}},{id:"35000",title:"Prof.",name:"Ulrich H.P",middleName:"H.P.",surname:"Fischer",slug:"ulrich-h.p-fischer",fullName:"Ulrich H.P Fischer",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/35000/images/3052_n.jpg",biography:"Academic and Professional Background\nUlrich H. P. has Diploma and PhD degrees in Physics from the Free University Berlin, Germany. He has been working on research positions in the Heinrich-Hertz-Institute in Germany. Several international research projects has been performed with European partners from France, Netherlands, Norway and the UK. He is currently Professor of Communications Systems at the Harz University of Applied Sciences, Germany.\n\nPublications and Publishing\nHe has edited one book, a special interest book about ‘Optoelectronic Packaging’ (VDE, Berlin, Germany), and has published over 100 papers and is owner of several international patents for WDM over POF key elements.\n\nKey Research and Consulting Interests\nUlrich’s research activity has always been related to Spectroscopy and Optical Communications Technology. Specific current interests include the validation of complex instruments, and the application of VR technology to the development and testing of measurement systems. He has been reviewer for several publications of the Optical Society of America\\'s including Photonics Technology Letters and Applied Optics.\n\nPersonal Interests\nThese include motor cycling in a very relaxed manner and performing martial arts.",institutionString:null,institution:{name:"Charité",country:{name:"Germany"}}},{id:"341622",title:"Ph.D.",name:"Eduardo",middleName:null,surname:"Rojas Alvarez",slug:"eduardo-rojas-alvarez",fullName:"Eduardo Rojas Alvarez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/341622/images/15892_n.jpg",biography:null,institutionString:null,institution:{name:"University of Cuenca",country:{name:"Ecuador"}}},{id:"215610",title:"Prof.",name:"Muhammad",middleName:null,surname:"Sarfraz",slug:"muhammad-sarfraz",fullName:"Muhammad Sarfraz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/215610/images/system/215610.jpeg",biography:"Muhammad Sarfraz is a professor in the Department of Information Science, Kuwait University, Kuwait. His research interests include optimization, computer graphics, computer vision, image processing, machine learning, pattern recognition, soft computing, data science, and intelligent systems. Prof. Sarfraz has been a keynote/invited speaker at various platforms around the globe. He has advised/supervised more than 110 students for their MSc and Ph.D. theses. He has published more than 400 publications as books, journal articles, and conference papers. He has authored and/or edited around seventy books. Prof. Sarfraz is a member of various professional societies. He is a chair and member of international advisory committees and organizing committees of numerous international conferences. He is also an editor and editor in chief for various international journals.",institutionString:"Kuwait University",institution:{name:"Kuwait University",country:{name:"Kuwait"}}},{id:"32650",title:"Prof.",name:"Lukas",middleName:"Willem",surname:"Snyman",slug:"lukas-snyman",fullName:"Lukas Snyman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/32650/images/4136_n.jpg",biography:"Lukas Willem Snyman received his basic education at primary and high schools in South Africa, Eastern Cape. He enrolled at today's Nelson Metropolitan University and graduated from this university with a BSc in Physics and Mathematics, B.Sc Honors in Physics, MSc in Semiconductor Physics, and a Ph.D. in Semiconductor Physics in 1987. After his studies, he chose an academic career and devoted his energy to the teaching of physics to first, second, and third-year students. After positions as a lecturer at the University of Port Elizabeth, he accepted a position as Associate Professor at the University of Pretoria, South Africa.\r\n\r\nIn 1992, he motivates the concept of 'television and computer-based education” as means to reach large student numbers with only the best of teaching expertise and publishes an article on the concept in the SA Journal of Higher Education of 1993 (and later in 2003). The University of Pretoria subsequently approved a series of test projects on the concept with outreach to Mamelodi and Eerste Rust in 1993. In 1994, the University established a 'Unit for Telematic Education ' as a support section for multiple faculties at the University of Pretoria. In subsequent years, the concept of 'telematic education” subsequently becomes well established in academic circles in South Africa, grew in popularity, and is adopted by many universities and colleges throughout South Africa as a medium of enhancing education and training, as a method to reaching out to far out communities, and as a means to enhance study from the home environment.\r\n\r\nProfessor Snyman in subsequent years pursued research in semiconductor physics, semiconductor devices, microelectronics, and optoelectronics.\r\n\r\nIn 2000 he joined the TUT as a full professor. Here served for a period as head of the Department of Electronic Engineering. Here he makes contributions to solar energy development, microwave and optoelectronic device development, silicon photonics, as well as contributions to new mobile telecommunication systems and network planning in SA.\r\n\r\nCurrently, he teaches electronics and telecommunications at the TUT to audiences ranging from first-year students to Ph.D. level.\r\n\r\nFor his research in the field of 'Silicon Photonics” since 1990, he has published (as author and co-author) about thirty internationally reviewed articles in scientific journals, contributed to more than forty international conferences, about 25 South African provisional patents (as inventor and co-inventor), 8 PCT international patent applications until now. Of these, two USA patents applications, two European Patents, two Korean patents, and ten SA patents have been granted. A further 4 USA patents, 5 European patents, 3 Korean patents, 3 Chinese patents, and 3 Japanese patents are currently under consideration.\r\n\r\nRecently he has also published an extensive scholarly chapter in an internet open access book on 'Integrating Microphotonic Systems and MOEMS into standard Silicon CMOS Integrated circuitry”.\r\n\r\nFurthermore, Professor Snyman recently steered a new initiative at the TUT by introducing a 'Laboratory for Innovative Electronic Systems ' at the Department of Electrical Engineering. The model of this laboratory or center is to primarily combine outputs as achieved by high-level research with lower-level system development and entrepreneurship in a technical university environment. Students are allocated to projects at different levels with PhDs and Master students allocated to the generation of new knowledge and new technologies, while students at the diploma and Baccalaureus level are allocated to electronic systems development with a direct and a near application for application in industry or the commercial and public sectors in South Africa.\r\n\r\nProfessor Snyman received the WIRSAM Award of 1983 and the WIRSAM Award in 1985 in South Africa for best research papers by a young scientist at two international conferences on electron microscopy in South Africa. He subsequently received the SA Microelectronics Award for the best dissertation emanating from studies executed at a South African university in the field of Physics and Microelectronics in South Africa in 1987. In October of 2011, Professor Snyman received the prestigious Institutional Award for 'Innovator of the Year” for 2010 at the Tshwane University of Technology, South Africa. This award was based on the number of patents recognized and granted by local and international institutions as well as for his contributions concerning innovation at the TUT.",institutionString:null,institution:{name:"University of South Africa",country:{name:"South Africa"}}},{id:"317279",title:"Mr.",name:"Ali",middleName:"Usama",surname:"Syed",slug:"ali-syed",fullName:"Ali Syed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/317279/images/16024_n.png",biography:"A creative, talented, and innovative young professional who is dedicated, well organized, and capable research fellow with two years of experience in graduate-level research, published in engineering journals and book, with related expertise in Bio-robotics, equally passionate about the aesthetics of the mechanical and electronic system, obtained expertise in the use of MS Office, MATLAB, SolidWorks, LabVIEW, Proteus, Fusion 360, having a grasp on python, C++ and assembly language, possess proven ability in acquiring research grants, previous appointments with social and educational societies with experience in administration, current affiliations with IEEE and Web of Science, a confident presenter at conferences and teacher in classrooms, able to explain complex information to audiences of all levels.",institutionString:null,institution:{name:"Air University",country:{name:"Pakistan"}}},{id:"75526",title:"Ph.D.",name:"Zihni Onur",middleName:null,surname:"Uygun",slug:"zihni-onur-uygun",fullName:"Zihni Onur Uygun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/75526/images/12_n.jpg",biography:"My undergraduate education and my Master of Science educations at Ege University and at Çanakkale Onsekiz Mart University have given me a firm foundation in Biochemistry, Analytical Chemistry, Biosensors, Bioelectronics, Physical Chemistry and Medicine. After obtaining my degree as a MSc in analytical chemistry, I started working as a research assistant in Ege University Medical Faculty in 2014. In parallel, I enrolled to the MSc program at the Department of Medical Biochemistry at Ege University to gain deeper knowledge on medical and biochemical sciences as well as clinical chemistry in 2014. In my PhD I deeply researched on biosensors and bioelectronics and finished in 2020. Now I have eleven SCI-Expanded Index published papers, 6 international book chapters, referee assignments for different SCIE journals, one international patent pending, several international awards, projects and bursaries. In parallel to my research assistant position at Ege University Medical Faculty, Department of Medical Biochemistry, in April 2016, I also founded a Start-Up Company (Denosens Biotechnology LTD) by the support of The Scientific and Technological Research Council of Turkey. Currently, I am also working as a CEO in Denosens Biotechnology. The main purposes of the company, which carries out R&D as a research center, are to develop new generation biosensors and sensors for both point-of-care diagnostics; such as glucose, lactate, cholesterol and cancer biomarker detections. My specific experimental and instrumental skills are Biochemistry, Biosensor, Analytical Chemistry, Electrochemistry, Mobile phone based point-of-care diagnostic device, POCTs and Patient interface designs, HPLC, Tandem Mass Spectrometry, Spectrophotometry, ELISA.",institutionString:null,institution:{name:"Ege University",country:{name:"Turkey"}}},{id:"246502",title:"Dr.",name:"Jaya T.",middleName:"T",surname:"Varkey",slug:"jaya-t.-varkey",fullName:"Jaya T. Varkey",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246502/images/11160_n.jpg",biography:"Jaya T. Varkey, PhD, graduated with a degree in Chemistry from Cochin University of Science and Technology, Kerala, India. She obtained a PhD in Chemistry from the School of Chemical Sciences, Mahatma Gandhi University, Kerala, India, and completed a post-doctoral fellowship at the University of Minnesota, USA. She is a research guide at Mahatma Gandhi University and Associate Professor in Chemistry, St. Teresa’s College, Kochi, Kerala, India.\nDr. Varkey received a National Young Scientist award from the Indian Science Congress (1995), a UGC Research award (2016–2018), an Indian National Science Academy (INSA) Visiting Scientist award (2018–2019), and a Best Innovative Faculty award from the All India Association for Christian Higher Education (AIACHE) (2019). She Hashas received the Sr. Mary Cecil prize for best research paper three times. She was also awarded a start-up to develop a tea bag water filter. \nDr. Varkey has published two international books and twenty-seven international journal publications. She is an editorial board member for five international journals.",institutionString:"St. Teresa’s College",institution:null},{id:"250668",title:"Dr.",name:"Ali",middleName:null,surname:"Nabipour Chakoli",slug:"ali-nabipour-chakoli",fullName:"Ali Nabipour Chakoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/250668/images/system/250668.jpg",biography:"Academic Qualification:\r\n•\tPhD in Materials Physics and Chemistry, From: Sep. 2006, to: Sep. 2010, School of Materials Science and Engineering, Harbin Institute of Technology, Thesis: Structure and Shape Memory Effect of Functionalized MWCNTs/poly (L-lactide-co-ε-caprolactone) Nanocomposites. Supervisor: Prof. Wei Cai,\r\n•\tM.Sc in Applied Physics, From: 1996, to: 1998, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Determination of Boron in Micro alloy Steels with solid state nuclear track detectors by neutron induced auto radiography, Supervisors: Dr. M. Hosseini Ashrafi and Dr. A. Hosseini.\r\n•\tB.Sc. in Applied Physics, From: 1991, to: 1996, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Design of shielding for Am-Be neutron sources for In Vivo neutron activation analysis, Supervisor: Dr. M. Hosseini Ashrafi.\r\n\r\nResearch Experiences:\r\n1.\tNanomaterials, Carbon Nanotubes, Graphene: Synthesis, Functionalization and Characterization,\r\n2.\tMWCNTs/Polymer Composites: Fabrication and Characterization, \r\n3.\tShape Memory Polymers, Biodegradable Polymers, ORC, Collagen,\r\n4.\tMaterials Analysis and Characterizations: TEM, SEM, XPS, FT-IR, Raman, DSC, DMA, TGA, XRD, GPC, Fluoroscopy, \r\n5.\tInteraction of Radiation with Mater, Nuclear Safety and Security, NDT(RT),\r\n6.\tRadiation Detectors, Calibration (SSDL),\r\n7.\tCompleted IAEA e-learning Courses:\r\nNuclear Security (15 Modules),\r\nNuclear Safety:\r\nTSA 2: Regulatory Protection in Occupational Exposure,\r\nTips & Tricks: Radiation Protection in Radiography,\r\nSafety and Quality in Radiotherapy,\r\nCourse on Sealed Radioactive Sources,\r\nCourse on Fundamentals of Environmental Remediation,\r\nCourse on Planning for Environmental Remediation,\r\nKnowledge Management Orientation Course,\r\nFood Irradiation - Technology, Applications and Good Practices,\r\nEmployment:\r\nFrom 2010 to now: Academic staff, Nuclear Science and Technology Research Institute, Kargar Shomali, Tehran, Iran, P.O. Box: 14395-836.\r\nFrom 1997 to 2006: Expert of Materials Analysis and Characterization. Research Center of Agriculture and Medicine. Rajaeeshahr, Karaj, Iran, P. O. Box: 31585-498.",institutionString:"Atomic Energy Organization of Iran",institution:{name:"Atomic Energy Organization of Iran",country:{name:"Iran"}}},{id:"248279",title:"Dr.",name:"Monika",middleName:"Elzbieta",surname:"Machoy",slug:"monika-machoy",fullName:"Monika Machoy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/248279/images/system/248279.jpeg",biography:"Monika Elżbieta Machoy, MD, graduated with distinction from the Faculty of Medicine and Dentistry at the Pomeranian Medical University in 2009, defended her PhD thesis with summa cum laude in 2016 and is currently employed as a researcher at the Department of Orthodontics of the Pomeranian Medical University. She expanded her professional knowledge during a one-year scholarship program at the Ernst Moritz Arndt University in Greifswald, Germany and during a three-year internship at the Technical University in Dresden, Germany. She has been a speaker at numerous orthodontic conferences, among others, American Association of Orthodontics, European Orthodontic Symposium and numerous conferences of the Polish Orthodontic Society. She conducts research focusing on the effect of orthodontic treatment on dental and periodontal tissues and the causes of pain in orthodontic patients.",institutionString:"Pomeranian Medical University",institution:{name:"Pomeranian Medical University",country:{name:"Poland"}}},{id:"252743",title:"Prof.",name:"Aswini",middleName:"Kumar",surname:"Kar",slug:"aswini-kar",fullName:"Aswini Kar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252743/images/10381_n.jpg",biography:"uploaded in cv",institutionString:null,institution:{name:"KIIT University",country:{name:"India"}}},{id:"204256",title:"Dr.",name:"Anil",middleName:"Kumar",surname:"Kumar Sahu",slug:"anil-kumar-sahu",fullName:"Anil Kumar Sahu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204256/images/14201_n.jpg",biography:"I have nearly 11 years of research and teaching experience. I have done my master degree from University Institute of Pharmacy, Pt. Ravi Shankar Shukla University, Raipur, Chhattisgarh India. I have published 16 review and research articles in international and national journals and published 4 chapters in IntechOpen, the world’s leading publisher of Open access books. I have presented many papers at national and international conferences. I have received research award from Indian Drug Manufacturers Association in year 2015. My research interest extends from novel lymphatic drug delivery systems, oral delivery system for herbal bioactive to formulation optimization.",institutionString:null,institution:{name:"Chhattisgarh Swami Vivekanand Technical University",country:{name:"India"}}},{id:"253468",title:"Dr.",name:"Mariusz",middleName:null,surname:"Marzec",slug:"mariusz-marzec",fullName:"Mariusz Marzec",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/253468/images/system/253468.png",biography:"An assistant professor at Department of Biomedical Computer Systems, at Institute of Computer Science, Silesian University in Katowice. Scientific interests: computer analysis and processing of images, biomedical images, databases and programming languages. He is an author and co-author of scientific publications covering analysis and processing of biomedical images and development of database systems.",institutionString:"University of Silesia",institution:null},{id:"212432",title:"Prof.",name:"Hadi",middleName:null,surname:"Mohammadi",slug:"hadi-mohammadi",fullName:"Hadi Mohammadi",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/212432/images/system/212432.jpeg",biography:"Dr. Hadi Mohammadi is a biomedical engineer with hands-on experience in the design and development of many engineering structures and medical devices through various projects that he has been involved in over the past twenty years. Dr. Mohammadi received his BSc. and MSc. degrees in Mechanical Engineering from Sharif University of Technology, Tehran, Iran, and his PhD. degree in Biomedical Engineering (biomaterials) from the University of Western Ontario. He was a postdoctoral trainee for almost four years at University of Calgary and Harvard Medical School. He is an industry innovator having created the technology to produce lifelike synthetic platforms that can be used for the simulation of almost all cardiovascular reconstructive surgeries. He’s been heavily involved in the design and development of cardiovascular devices and technology for the past 10 years. He is currently an Assistant Professor with the University of British Colombia, Canada.",institutionString:"University of British Columbia",institution:{name:"University of British Columbia",country:{name:"Canada"}}},{id:"254463",title:"Prof.",name:"Haisheng",middleName:null,surname:"Yang",slug:"haisheng-yang",fullName:"Haisheng Yang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/254463/images/system/254463.jpeg",biography:"Haisheng Yang, Ph.D., Professor and Director of the Department of Biomedical Engineering, College of Life Science and Bioengineering, Beijing University of Technology. He received his Ph.D. degree in Mechanics/Biomechanics from Harbin Institute of Technology (jointly with University of California, Berkeley). Afterwards, he worked as a Postdoctoral Research Associate in the Purdue Musculoskeletal Biology and Mechanics Lab at the Department of Basic Medical Sciences, Purdue University, USA. He also conducted research in the Research Centre of Shriners Hospitals for Children-Canada at McGill University, Canada. Dr. Yang has over 10 years research experience in orthopaedic biomechanics and mechanobiology of bone adaptation and regeneration. He earned an award from Beijing Overseas Talents Aggregation program in 2017 and serves as Beijing Distinguished Professor.",institutionString:"Beijing University of Technology",institution:null},{id:"255757",title:"Dr.",name:"Igor",middleName:"Victorovich",surname:"Lakhno",slug:"igor-lakhno",fullName:"Igor Lakhno",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255757/images/system/255757.jpg",biography:"Lakhno Igor Victorovich was born in 1971 in Kharkiv (Ukraine). \nMD – 1994, Kharkiv National Medical Univesity.\nOb&Gyn; – 1997, master courses in Kharkiv Medical Academy of Postgraduate Education.\nPhD – 1999, Kharkiv National Medical Univesity.\nDSc – 2019, PL Shupik National Academy of Postgraduate Education \nLakhno Igor has been graduated from an international training courses on reproductive medicine and family planning held in Debrecen University (Hungary) in 1997. Since 1998 Lakhno Igor has worked as an associate professor of the department of obstetrics and gynecology of VN Karazin National University and an associate professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education. Since June 2019 he’s a professor of the department of obstetrics and gynecology of VN Karazin National University and a professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education . He’s an author of about 200 printed works and there are 17 of them in Scopus or Web of Science databases. Lakhno Igor is a rewiever of Journal of Obstetrics and Gynaecology (Taylor and Francis), Informatics in Medicine Unlocked (Elsevier), The Journal of Obstetrics and Gynecology Research (Wiley), Endocrine, Metabolic & Immune Disorders-Drug Targets (Bentham Open), The Open Biomedical Engineering Journal (Bentham Open), etc. He’s defended a dissertation for DSc degree \\'Pre-eclampsia: prediction, prevention and treatment”. Lakhno Igor has participated as a speaker in several international conferences and congresses (International Conference on Biological Oscillations April 10th-14th 2016, Lancaster, UK, The 9th conference of the European Study Group on Cardiovascular Oscillations). His main scientific interests: obstetrics, women’s health, fetal medicine, cardiovascular medicine.",institutionString:"V.N. Karazin Kharkiv National University",institution:{name:"Kharkiv Medical Academy of Postgraduate Education",country:{name:"Ukraine"}}},{id:"89721",title:"Dr.",name:"Mehmet",middleName:"Cuneyt",surname:"Ozmen",slug:"mehmet-ozmen",fullName:"Mehmet Ozmen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/89721/images/7289_n.jpg",biography:null,institutionString:null,institution:{name:"Gazi University",country:{name:"Turkey"}}},{id:"243698",title:"M.D.",name:"Xiaogang",middleName:null,surname:"Wang",slug:"xiaogang-wang",fullName:"Xiaogang Wang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/243698/images/system/243698.png",biography:"Dr. Xiaogang Wang, a faculty member of Shanxi Eye Hospital specializing in the treatment of cataract and retinal disease and a tutor for postgraduate students of Shanxi Medical University, worked in the COOL Lab as an international visiting scholar under the supervision of Dr. David Huang and Yali Jia from October 2012 through November 2013. Dr. Wang earned an MD from Shanxi Medical University and a Ph.D. from Shanghai Jiao Tong University. Dr. Wang was awarded two research project grants focused on multimodal optical coherence tomography imaging and deep learning in cataract and retinal disease, from the National Natural Science Foundation of China. He has published around 30 peer-reviewed journal papers and four book chapters and co-edited one book.",institutionString:"Shanxi Eye Hospital",institution:{name:"Shanxi Eye Hospital",country:{name:"China"}}},{id:"242893",title:"Ph.D. Student",name:"Joaquim",middleName:null,surname:"De Moura",slug:"joaquim-de-moura",fullName:"Joaquim De Moura",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/242893/images/7133_n.jpg",biography:"Joaquim de Moura received his degree in Computer Engineering in 2014 from the University of A Coruña (Spain). In 2016, he received his M.Sc degree in Computer Engineering from the same university. He is currently pursuing his Ph.D degree in Computer Science in a collaborative project between ophthalmology centers in Galicia and the University of A Coruña. His research interests include computer vision, machine learning algorithms and analysis and medical imaging processing of various kinds.",institutionString:null,institution:{name:"University of A Coruña",country:{name:"Spain"}}},{id:"267434",title:"Dr.",name:"Rohit",middleName:null,surname:"Raja",slug:"rohit-raja",fullName:"Rohit Raja",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRZkkQAG/Profile_Picture_2022-05-09T12:55:18.jpg",biography:null,institutionString:null,institution:null},{id:"294334",title:"B.Sc.",name:"Marc",middleName:null,surname:"Bruggeman",slug:"marc-bruggeman",fullName:"Marc Bruggeman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/294334/images/8242_n.jpg",biography:"Chemical engineer graduate, with a passion for material science and specific interest in polymers - their near infinite applications intrigue me. \n\nI plan to continue my scientific career in the field of polymeric biomaterials as I am fascinated by intelligent, bioactive and biomimetic materials for use in both consumer and medical applications.",institutionString:null,institution:null},{id:"244950",title:"Dr.",name:"Salvatore",middleName:null,surname:"Di Lauro",slug:"salvatore-di-lauro",fullName:"Salvatore Di Lauro",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0030O00002bSF1HQAW/ProfilePicture%202021-12-20%2014%3A54%3A14.482",biography:"Name:\n\tSALVATORE DI LAURO\nAddress:\n\tHospital Clínico Universitario Valladolid\nAvda Ramón y Cajal 3\n47005, Valladolid\nSpain\nPhone number: \nFax\nE-mail:\n\t+34 983420000 ext 292\n+34 983420084\nsadilauro@live.it\nDate and place of Birth:\nID Number\nMedical Licence \nLanguages\t09-05-1985. Villaricca (Italy)\n\nY1281863H\n474707061\nItalian (native language)\nSpanish (read, written, spoken)\nEnglish (read, written, spoken)\nPortuguese (read, spoken)\nFrench (read)\n\t\t\nCurrent position (title and company)\tDate (Year)\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. Private practise.\t2017-today\n\n2019-today\n\t\n\t\nEducation (High school, university and postgraduate training > 3 months)\tDate (Year)\nDegree in Medicine and Surgery. University of Neaples 'Federico II”\nResident in Opthalmology. Hospital Clinico Universitario Valladolid\nMaster in Vitreo-Retina. IOBA. University of Valladolid\nFellow of the European Board of Ophthalmology. Paris\nMaster in Research in Ophthalmology. University of Valladolid\t2003-2009\n2012-2016\n2016-2017\n2016\n2012-2013\n\t\nEmployments (company and positions)\tDate (Year)\nResident in Ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl.\nFellow in Vitreo-Retina. IOBA. University of Valladolid\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. \n\t2012-2016\n2016-2017\n2017-today\n\n2019-Today\n\n\n\t\nClinical Research Experience (tasks and role)\tDate (Year)\nAssociated investigator\n\n' FIS PI20/00740: DESARROLLO DE UNA CALCULADORA DE RIESGO DE\nAPARICION DE RETINOPATIA DIABETICA BASADA EN TECNICAS DE IMAGEN MULTIMODAL EN PACIENTES DIABETICOS TIPO 1. Grant by: Ministerio de Ciencia e Innovacion \n\n' (BIO/VA23/14) Estudio clínico multicéntrico y prospectivo para validar dos\nbiomarcadores ubicados en los genes p53 y MDM2 en la predicción de los resultados funcionales de la cirugía del desprendimiento de retina regmatógeno. Grant by: Gerencia Regional de Salud de la Junta de Castilla y León.\n' Estudio multicéntrico, aleatorizado, con enmascaramiento doble, en 2 grupos\nparalelos y de 52 semanas de duración para comparar la eficacia, seguridad e inmunogenicidad de SOK583A1 respecto a Eylea® en pacientes con degeneración macular neovascular asociada a la edad' (CSOK583A12301; N.EUDRA: 2019-004838-41; FASE III). Grant by Hexal AG\n\n' Estudio de fase III, aleatorizado, doble ciego, con grupos paralelos, multicéntrico para comparar la eficacia y la seguridad de QL1205 frente a Lucentis® en pacientes con degeneración macular neovascular asociada a la edad. (EUDRACT: 2018-004486-13). Grant by Qilu Pharmaceutical Co\n\n' Estudio NEUTON: Ensayo clinico en fase IV para evaluar la eficacia de aflibercept en pacientes Naive con Edema MacUlar secundario a Oclusion de Vena CenTral de la Retina (OVCR) en regimen de tratamientO iNdividualizado Treat and Extend (TAE)”, (2014-000975-21). Grant by Fundacion Retinaplus\n\n' Evaluación de la seguridad y bioactividad de anillos de tensión capsular en conejo. Proyecto Procusens. Grant by AJL, S.A.\n\n'Estudio epidemiológico, prospectivo, multicéntrico y abierto\\npara valorar la frecuencia de la conjuntivitis adenovírica diagnosticada mediante el test AdenoPlus®\\nTest en pacientes enfermos de conjuntivitis aguda”\\n. National, multicenter study. Grant by: NICOX.\n\nEuropean multicentric trial: 'Evaluation of clinical outcomes following the use of Systane Hydration in patients with dry eye”. Study Phase 4. Grant by: Alcon Labs'\n\nVLPs Injection and Activation in a Rabbit Model of Uveal Melanoma. Grant by Aura Bioscience\n\nUpdating and characterization of a rabbit model of uveal melanoma. Grant by Aura Bioscience\n\nEnsayo clínico en fase IV para evaluar las variantes genéticas de la vía del VEGF como biomarcadores de eficacia del tratamiento con aflibercept en pacientes con degeneración macular asociada a la edad (DMAE) neovascular. Estudio BIOIMAGE. IMO-AFLI-2013-01\n\nEstudio In-Eye:Ensayo clínico en fase IV, abierto, aleatorizado, de 2 brazos,\nmulticçentrico y de 12 meses de duración, para evaluar la eficacia y seguridad de un régimen de PRN flexible individualizado de 'esperar y extender' versus un régimen PRN según criterios de estabilización mediante evaluaciones mensuales de inyecciones intravítreas de ranibizumab 0,5 mg en pacientes naive con neovascularización coriodea secunaria a la degeneración macular relacionada con la edad. CP: CRFB002AES03T\n\nTREND: Estudio Fase IIIb multicéntrico, randomizado, de 12 meses de\nseguimiento con evaluador de la agudeza visual enmascarado, para evaluar la eficacia y la seguridad de ranibizumab 0.5mg en un régimen de tratar y extender comparado con un régimen mensual, en pacientes con degeneración macular neovascular asociada a la edad. CP: CRFB002A2411 Código Eudra CT:\n2013-002626-23\n\n\n\nPublications\t\n\n2021\n\n\n\n\n2015\n\n\n\n\n2021\n\n\n\n\n\n2021\n\n\n\n\n2015\n\n\n\n\n2015\n\n\n2014\n\n\n\n\n2015-16\n\n\n\n2015\n\n\n2014\n\n\n2014\n\n\n\n\n2014\n\n\n\n\n\n\n\n2014\n\nJose Carlos Pastor; Jimena Rojas; Salvador Pastor-Idoate; Salvatore Di Lauro; Lucia Gonzalez-Buendia; Santiago Delgado-Tirado. Proliferative vitreoretinopathy: A new concept of disease pathogenesis and practical\nconsequences. Progress in Retinal and Eye Research. 51, pp. 125 - 155. 03/2016. DOI: 10.1016/j.preteyeres.2015.07.005\n\n\nLabrador-Velandia S; Alonso-Alonso ML; Di Lauro S; García-Gutierrez MT; Srivastava GK; Pastor JC; Fernandez-Bueno I. Mesenchymal stem cells provide paracrine neuroprotective resources that delay degeneration of co-cultured organotypic neuroretinal cultures.Experimental Eye Research. 185, 17/05/2019. DOI: 10.1016/j.exer.2019.05.011\n\nSalvatore Di Lauro; Maria Teresa Garcia Gutierrez; Ivan Fernandez Bueno. Quantification of pigment epithelium-derived factor (PEDF) in an ex vivo coculture of retinal pigment epithelium cells and neuroretina.\nJournal of Allbiosolution. 2019. ISSN 2605-3535\n\nSonia Labrador Velandia; Salvatore Di Lauro; Alonso-Alonso ML; Tabera Bartolomé S; Srivastava GK; Pastor JC; Fernandez-Bueno I. Biocompatibility of intravitreal injection of human mesenchymal stem cells in immunocompetent rabbits. Graefe's archive for clinical and experimental ophthalmology. 256 - 1, pp. 125 - 134. 01/2018. DOI: 10.1007/s00417-017-3842-3\n\n\nSalvatore Di Lauro, David Rodriguez-Crespo, Manuel J Gayoso, Maria T Garcia-Gutierrez, J Carlos Pastor, Girish K Srivastava, Ivan Fernandez-Bueno. A novel coculture model of porcine central neuroretina explants and retinal pigment epithelium cells. Molecular Vision. 2016 - 22, pp. 243 - 253. 01/2016.\n\nSalvatore Di Lauro. Classifications for Proliferative Vitreoretinopathy ({PVR}): An Analysis of Their Use in Publications over the Last 15 Years. Journal of Ophthalmology. 2016, pp. 1 - 6. 01/2016. DOI: 10.1155/2016/7807596\n\nSalvatore Di Lauro; Rosa Maria Coco; Rosa Maria Sanabria; Enrique Rodriguez de la Rua; Jose Carlos Pastor. Loss of Visual Acuity after Successful Surgery for Macula-On Rhegmatogenous Retinal Detachment in a Prospective Multicentre Study. Journal of Ophthalmology. 2015:821864, 2015. DOI: 10.1155/2015/821864\n\nIvan Fernandez-Bueno; Salvatore Di Lauro; Ivan Alvarez; Jose Carlos Lopez; Maria Teresa Garcia-Gutierrez; Itziar Fernandez; Eva Larra; Jose Carlos Pastor. Safety and Biocompatibility of a New High-Density Polyethylene-Based\nSpherical Integrated Porous Orbital Implant: An Experimental Study in Rabbits. Journal of Ophthalmology. 2015:904096, 2015. DOI: 10.1155/2015/904096\n\nPastor JC; Pastor-Idoate S; Rodríguez-Hernandez I; Rojas J; Fernandez I; Gonzalez-Buendia L; Di Lauro S; Gonzalez-Sarmiento R. Genetics of PVR and RD. Ophthalmologica. 232 - Suppl 1, pp. 28 - 29. 2014\n\nRodriguez-Crespo D; Di Lauro S; Singh AK; Garcia-Gutierrez MT; Garrosa M; Pastor JC; Fernandez-Bueno I; Srivastava GK. Triple-layered mixed co-culture model of RPE cells with neuroretina for evaluating the neuroprotective effects of adipose-MSCs. Cell Tissue Res. 358 - 3, pp. 705 - 716. 2014.\nDOI: 10.1007/s00441-014-1987-5\n\nCarlo De Werra; Salvatore Condurro; Salvatore Tramontano; Mario Perone; Ivana Donzelli; Salvatore Di Lauro; Massimo Di Giuseppe; Rosa Di Micco; Annalisa Pascariello; Antonio Pastore; Giorgio Diamantis; Giuseppe Galloro. Hydatid disease of the liver: thirty years of surgical experience.Chirurgia italiana. 59 - 5, pp. 611 - 636.\n(Italia): 2007. ISSN 0009-4773\n\nChapters in books\n\t\n' Salvador Pastor Idoate; Salvatore Di Lauro; Jose Carlos Pastor Jimeno. PVR: Pathogenesis, Histopathology and Classification. Proliferative Vitreoretinopathy with Small Gauge Vitrectomy. Springer, 2018. ISBN 978-3-319-78445-8\nDOI: 10.1007/978-3-319-78446-5_2. \n\n' Salvatore Di Lauro; Maria Isabel Lopez Galvez. Quistes vítreos en una mujer joven. Problemas diagnósticos en patología retinocoroidea. Sociedad Española de Retina-Vitreo. 2018.\n\n' Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor Jimeno. iOCT in PVR management. OCT Applications in Opthalmology. pp. 1 - 8. INTECH, 2018. DOI: 10.5772/intechopen.78774.\n\n' Rosa Coco Martin; Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor. amponadores, manipuladores y tinciones en la cirugía del traumatismo ocular.Trauma Ocular. Ponencia de la SEO 2018..\n\n' LOPEZ GALVEZ; DI LAURO; CRESPO. OCT angiografia y complicaciones retinianas de la diabetes. PONENCIA SEO 2021, CAPITULO 20. (España): 2021.\n\n' Múltiples desprendimientos neurosensoriales bilaterales en paciente joven. Enfermedades Degenerativas De Retina Y Coroides. SERV 04/2016. \n' González-Buendía L; Di Lauro S; Pastor-Idoate S; Pastor Jimeno JC. Vitreorretinopatía proliferante (VRP) e inflamación: LA INFLAMACIÓN in «INMUNOMODULADORES Y ANTIINFLAMATORIOS: MÁS ALLÁ DE LOS CORTICOIDES. RELACION DE PONENCIAS DE LA SOCIEDAD ESPAÑOLA DE OFTALMOLOGIA. 10/2014.",institutionString:null,institution:null},{id:"265335",title:"Mr.",name:"Stefan",middleName:"Radnev",surname:"Stefanov",slug:"stefan-stefanov",fullName:"Stefan Stefanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/265335/images/7562_n.jpg",biography:null,institutionString:null,institution:null},{id:"318905",title:"Prof.",name:"Elvis",middleName:"Kwason",surname:"Tiburu",slug:"elvis-tiburu",fullName:"Elvis Tiburu",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Ghana",country:{name:"Ghana"}}},{id:"336193",title:"Dr.",name:"Abdullah",middleName:null,surname:"Alamoudi",slug:"abdullah-alamoudi",fullName:"Abdullah Alamoudi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Majmaah University",country:{name:"Saudi Arabia"}}},{id:"318657",title:"MSc.",name:"Isabell",middleName:null,surname:"Steuding",slug:"isabell-steuding",fullName:"Isabell Steuding",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Harz University of Applied Sciences",country:{name:"Germany"}}},{id:"318656",title:"BSc.",name:"Peter",middleName:null,surname:"Kußmann",slug:"peter-kussmann",fullName:"Peter Kußmann",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Harz University of Applied Sciences",country:{name:"Germany"}}},{id:"338222",title:"Mrs.",name:"María José",middleName:null,surname:"Lucía Mudas",slug:"maria-jose-lucia-mudas",fullName:"María José Lucía Mudas",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Carlos III University of Madrid",country:{name:"Spain"}}},{id:"147824",title:"Mr.",name:"Pablo",middleName:null,surname:"Revuelta Sanz",slug:"pablo-revuelta-sanz",fullName:"Pablo Revuelta Sanz",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Carlos III University of Madrid",country:{name:"Spain"}}}]}},subseries:{item:{id:"12",type:"subseries",title:"Human Physiology",keywords:"Anatomy, Cells, Organs, Systems, Homeostasis, Functions",scope:"Human physiology is the scientific exploration of the various functions (physical, biochemical, and mechanical properties) of humans, their organs, and their constituent cells. The endocrine and nervous systems play important roles in maintaining homeostasis in the human body. Integration, which is the biological basis of physiology, is achieved through communication between the many overlapping functions of the human body's systems, which takes place through electrical and chemical means. Much of the basis of our knowledge of human physiology has been provided by animal experiments. Because of the close relationship between structure and function, studies in human physiology and anatomy seek to understand the mechanisms that help the human body function. The series on human physiology deals with the various mechanisms of interaction between the various organs, nerves, and cells in the human body.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/12.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11408,editor:{id:"195829",title:"Prof.",name:"Kunihiro",middleName:null,surname:"Sakuma",slug:"kunihiro-sakuma",fullName:"Kunihiro Sakuma",profilePictureURL:"https://mts.intechopen.com/storage/users/195829/images/system/195829.jpg",biography:"Professor Kunihiro Sakuma, Ph.D., currently works in the Institute for Liberal Arts at the Tokyo Institute of Technology. He is a physiologist working in the field of skeletal muscle. He was awarded his sports science diploma in 1995 by the University of Tsukuba and began his scientific work at the Department of Physiology, Aichi Human Service Center, focusing on the molecular mechanism of congenital muscular dystrophy and normal muscle regeneration. 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This includes, but is not limited to: single-neuron modeling, sensory processing, motor control, memory, and synaptic plasticity, attention, identification, categorization, discrimination, learning, development, axonal patterning, guidance, neural architecture, behaviors, and dynamics of networks, cognition and the neuroscientific basis of consciousness. 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