SOA geometrical and material parameters were used in the simulation.
\\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:"9615",leadTitle:null,fullTitle:"Chikungunya Virus - A Growing Global Public Health Threat",title:"Chikungunya Virus",subtitle:"A Growing Global Public Health Threat",reviewType:"peer-reviewed",abstract:"The chikungunya virus (CHIKV) is an RNA virus that is transmitted to humans by Aedes mosquitos commonly found in tropical and subtropical countries. In humans, CHIKV causes an infection with symptoms strikingly like those of the dengue virus and Zika disease, both of which are also transmitted to humans by the same genus of mosquitos. This book delves into the history of the disease and the molecular characterization of the virus. It sheds light on modern diagnosis tools that allow unambiguous identification of CHIKV infection. In addition, this book addresses the epidemiology of chikungunya fever, the distribution and spread of the disease, and the promising approaches under consideration for preventing and treating the disease.",isbn:"978-1-83969-090-7",printIsbn:"978-1-83969-089-1",pdfIsbn:"978-1-83969-091-4",doi:"10.5772/intechopen.87411",price:119,priceEur:129,priceUsd:155,slug:"chikungunya-virus-a-growing-global-public-health-threat",numberOfPages:102,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"c960d94a63867dd12a8ab15176a3ff06",bookSignature:"Jean Engohang-Ndong",publishedDate:"February 9th 2022",coverURL:"https://cdn.intechopen.com/books/images_new/9615.jpg",numberOfDownloads:614,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:0,numberOfDimensionsCitationsByBook:0,hasAltmetrics:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"October 13th 2020",dateEndSecondStepPublish:"December 21st 2020",dateEndThirdStepPublish:"February 25th 2021",dateEndFourthStepPublish:"May 16th 2021",dateEndFifthStepPublish:"July 15th 2021",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"180733",title:"Dr.",name:"Jean",middleName:null,surname:"Engohang-Ndong",slug:"jean-engohang-ndong",fullName:"Jean Engohang-Ndong",profilePictureURL:"https://mts.intechopen.com/storage/users/180733/images/system/180733.png",biography:"Dr. Jean Engohang-Ndong was born and raised in Gabon. After obtaining his Associate Degree of Science at the University of Science and Technology of Masuku, Gabon, he continued his education in France where he obtained his BS, MS, and Ph.D. in Medical Microbiology. He worked as a post-doctoral fellow at the Public Health Research Institute (PHRI), Newark, NJ for four years before accepting a three-year faculty position at Brigham Young University-Hawaii. Dr. Engohang-Ndong is a tenured faculty member with the academic rank of Full Professor at Kent State University, Ohio, where he teaches a wide range of biological science courses and pursues his research in medical and environmental microbiology. Recently, he expanded his research interest to epidemiology and biostatistics of chronic diseases in Gabon.",institutionString:"Kent State University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"3",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Kent State University",institutionURL:null,country:{name:"United States of America"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"1046",title:"Infectious Diseases",slug:"infectious-diseases"}],chapters:[{id:"79877",title:"Introductory Chapter: Introduction to Chikungunya",doi:"10.5772/intechopen.101892",slug:"introductory-chapter-introduction-to-chikungunya",totalDownloads:70,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Jean Engohang-Ndong",downloadPdfUrl:"/chapter/pdf-download/79877",previewPdfUrl:"/chapter/pdf-preview/79877",authors:[{id:"180733",title:"Dr.",name:"Jean",surname:"Engohang-Ndong",slug:"jean-engohang-ndong",fullName:"Jean Engohang-Ndong"}],corrections:null},{id:"77968",title:"History and Geographic Distribution of Chikungunya Virus",doi:"10.5772/intechopen.98662",slug:"history-and-geographic-distribution-of-chikungunya-virus",totalDownloads:110,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Chikungunya fever (CHIKF) is a mosquito-borne disease caused by an arbovirus endemic to Africa and Asia. It was initially seen in the early 1950s at the boundary of Tanzania and Mozambique. Due to the ease with which its vectors propagate, the virus has spread to India, Europe, and recently it arrived in the Caribbean, eventually extending into North, Central, and South America. According to the World Health Organization (WHO), the most common clinical manifestations are abrupt fever, polyarthralgia, headache, maculopapular rash, myalgia, and nausea/vomiting. Severe joint pain and stiffness have been known to incapacitate some patients from a few days to several months after infection. The re-emergence of the CHIKV and its spread to new places around the globe has encouraged the development of new preventive, diagnostic, and treatment strategies. This chapter will discuss the history of CHIKV and expanding geographic distribution.",signatures:"Maria Zavala-Colon and Juan A. Gonzalez-Sanchez",downloadPdfUrl:"/chapter/pdf-download/77968",previewPdfUrl:"/chapter/pdf-preview/77968",authors:[{id:"337443",title:"Dr.",name:"Juan",surname:"A. Gonzalez-Sanchez",slug:"juan-a.-gonzalez-sanchez",fullName:"Juan A. Gonzalez-Sanchez"},{id:"337446",title:"Dr.",name:"Maria",surname:"Zavala-Colon",slug:"maria-zavala-colon",fullName:"Maria Zavala-Colon"}],corrections:null},{id:"77207",title:"Epidemiology of Chikungunya in Indonesia",doi:"10.5772/intechopen.98330",slug:"epidemiology-of-chikungunya-in-indonesia",totalDownloads:56,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Chikungunya is a zoonotic disease which is caused by the Chikungunya virus (CHIKV) and transmitted by infected Aedes spp mosquito. In Indonesia, CHIKV is a re-emerging disease, which means that it is a disease that has gone for a long time, but then it spreads again and causes outbreaks frequently. CHIKV presence in Indonesia was first reported in 1979 in Bengkulu City causing substantial acute and chronic morbidity. After disappearing for 16 years, the CHIKV outbreak spreaded again in 24 regions throughout Indonesia from 2001 to 2003. In 2009 and 2010, CHIKV outbreaks hit western and central regions of Indonesia and increased from 3,000 cases per year to 83,000 and 52,000 cases per year. The burden of this disease is unclear due to insufficient monitoring and diagnosis. The spread and transmission of CHIKV in Indonesia is very high, due to travel, competent vectors, and the vulnerability of the population. In addition, the evolution of viruses, globalization and climate change has accelerated the spread of this virus. Effective antiviral treatment and vaccines do not yet exist, so early detection and appropriate management can help reducing the burden of this disease. Monitoring and risk assessment to reduce human-vector contact are also needed to reduce the impact of chikungunya.",signatures:"Tri Baskoro Tunggul Satoto and Nur Alvira Pascawati",downloadPdfUrl:"/chapter/pdf-download/77207",previewPdfUrl:"/chapter/pdf-preview/77207",authors:[{id:"338853",title:"Associate Prof.",name:"Tri Baskoro Tunggul",surname:"Satoto",slug:"tri-baskoro-tunggul-satoto",fullName:"Tri Baskoro Tunggul Satoto"},{id:"338856",title:"Mrs.",name:"Nur Alvira",surname:"Pascawati",slug:"nur-alvira-pascawati",fullName:"Nur Alvira Pascawati"}],corrections:null},{id:"78915",title:"Chikungunya Virus Transmission",doi:"10.5772/intechopen.100199",slug:"chikungunya-virus-transmission",totalDownloads:59,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Chikungunya virus (CHIKV) is a mosquito-borneAlphavirus that causes Chikungunya fever (CHIKF) in humans. In 1952, the CHIKV was found in East Africa in a sylvatic and urban cycle between Aedes mosquitoes, and human and nonhuman primates in tropical regions. Since 2004, CHIKF has spread rapidly in Asia, Africa, Europe, and the Americas. Both Aedes aegypti and Aedes albopictus are known to be arboviral mosquito vectors of CHIKV. Ae. aegypti is mostly found within the tropics, whereby Ae. albopictus also occurs in temperate and cold temperate regions. Host-seeking female mosquitoes are infected after feeding on a viremic animal. The replication of CHIKV happens in the midgut and then enters the hemocoel before disseminating to the salivary glands of the mosquito. The disseminated virus can be transmitted by injecting infectious saliva into the host skin during blood feeding. In the naïve host body, CHIKV replicates in the dermal fibroblasts through blood circulation, and disseminates to other parts of the body such as brain cells, kidney, heart, lymphoid tissues, liver, and joints. Symptoms of CHIKV infection include high fever, rigors, headache, photophobia, and maculopapular rash. It is advised to avoid mosquito bites; also, larvae management systems should be applied in endemic environments.",signatures:"Lucille Lyaruu",downloadPdfUrl:"/chapter/pdf-download/78915",previewPdfUrl:"/chapter/pdf-preview/78915",authors:[{id:"251365",title:"Ms.",name:"Lucile",surname:"Lyaruu",slug:"lucile-lyaruu",fullName:"Lucile Lyaruu"}],corrections:null},{id:"77184",title:"Treatment and Prevention of Chikungunya Fever: Current Status and Prospective",doi:"10.5772/intechopen.98523",slug:"treatment-and-prevention-of-chikungunya-fever-current-status-and-prospective",totalDownloads:150,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Chikungunya fever is a vector borne tropical disease that was first described in an outbreak in Tanzania. The disease is caused by Chikungunya virus (CHIKV), an alpha virus belonging to the family Togaviridae and which is transmitted from one person to another via the bite of mosquitoes. Active disease is characterized by high grade fever, pain and joint symptoms. Although debilitating at times, the disease seldom progresses to result in a serious outcome like death. There are no specific treatments for Chikungunya virus at the moment. Clinical case management is highly dependent on providing palliative care which in turn is expected to alleviate symptoms and accelerate recovery from the infection. An important element in the control of outbreaks of CHIKV infection is prevention. Preventive strategies involve initiatives like vector control, immunizations and extra care to patients with the infection. There have been several tens of researches focusing on the introduction of newer drugs and vaccines against Chikungunya. That being said, so far, no single agent has completed the entire drug or vaccine development process. Chikungunya fever is a neglected tropical disease. Although it has no specific treatment till date, the number of vaccine and drug candidates under study provides promising insights on the prospects on chikungunya treatment.",signatures:"Merhawi Debesai Oqbazgi",downloadPdfUrl:"/chapter/pdf-download/77184",previewPdfUrl:"/chapter/pdf-preview/77184",authors:[{id:"342462",title:"B.Sc.",name:"Merhawi Debesai",surname:"Oqbazgi",slug:"merhawi-debesai-oqbazgi",fullName:"Merhawi Debesai Oqbazgi"}],corrections:null},{id:"76721",title:"Treatment of Chikungunya Virus (CHIKV) Using Targeted Immunotherapy",doi:"10.5772/intechopen.97811",slug:"treatment-of-chikungunya-virus-chikv-using-targeted-immunotherapy",totalDownloads:169,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Chikungunya virus (CHIKV) is the most common mosquito-borne Alphavirus infecting humans worldwide. Up to date, there are no antiviral treatments or vaccines approved to treat or prevent CHIKV for which treatments remain symptomatic based on clinical manifestations. Hence, designing effective therapies to either prevent or treat CHIKV infection is of paramount importance. Interestingly, monoclonal antibodies (mAbs) are known to be significantly important in mediating protective immunity in CHIV infection. During the last decades, numerous animal studies have reported the protective and prophylactic efficacy of human and mouse anti-CHIKV mAbs isolated from convalescent patients. However, the therapeutic benefits of these anti-CHIKV mAbs can be limited by multiple factors. Thus, it becomes pertinent to better understand the CHIKV infection dynamics, mitigate the undesired mAbs-associated effects and improve therapies. In this review, we critically discuss CHIKV antiviral infectious mechanisms and address how the improved understanding of the latter may pave the way to better targeted immunotherapies.",signatures:"Fleury Augustin Nsole Biteghe, Chalomie Nyangone Ekome Toung, Jean De La Croix Ndong, Neelakshi Mungra, Tahir B. Dar and Arnaud John Kombe Kombe",downloadPdfUrl:"/chapter/pdf-download/76721",previewPdfUrl:"/chapter/pdf-preview/76721",authors:[{id:"335859",title:"Dr.",name:"Fleury",surname:"Augustin Nsole Biteghe",slug:"fleury-augustin-nsole-biteghe",fullName:"Fleury Augustin Nsole Biteghe"},{id:"345816",title:"Dr.",name:"Chalomie",surname:"Nyangone Ekome Toung",slug:"chalomie-nyangone-ekome-toung",fullName:"Chalomie Nyangone Ekome Toung"},{id:"345817",title:"Mr.",name:"Arnaud John",surname:"Kombe Kombe",slug:"arnaud-john-kombe-kombe",fullName:"Arnaud John Kombe Kombe"},{id:"345818",title:"Dr.",name:"Tahir. B",surname:"Dar",slug:"tahir.-b-dar",fullName:"Tahir. 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He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. 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This disease is caused by infection with bacilli belonging to the
However, other factors are associated with TB development, such as the host environment and the genetic diversity of Mtb. This genetic diversity has been organized into genotypes and lineages, according to the genetic profiles obtained by techniques such as IS6110 fingerprinting, spoligotyping and mycobacterial interspersed repetitive units-variable number of tandem repeats (MIRU-VNTR). Interestingly, these genotypes show a differential distribution around the world and exhibit different levels of virulence [4]. One of the genotypes that has attracted more attention in recent years is the Beijing family, because it is highly prevalent among TB patients, it favours the spread of multidrug-resistant tuberculosis, and it has been suggested that BCG vaccination confers poor protection against it [5].
It is not clear why the Beijing genotype prevails in infected individuals. One factor that could be responsible for this phenomenon is the interaction that Mtb Beijing establishes with the immune response. In this chapter, we analyze and discuss current knowledge regarding the cellular and molecular mechanisms of the immune response to Mtb, and how these mechanisms are affected by the Beijing genotype in relation to human infections.
Mtb can enter the body through several routes, but the most usual one is through the airways [6]. This process is initiated by the release of small saliva droplets containing Mtb bacilli that are expelled by active TB patients [7]. Some droplets are small enough to cross the mucociliary barrier and reach the alveoli, where they interact with the first cellular element of the immune response, the alveolar macrophage [8]. Macrophages are armed with a vast array of innate immune receptors that allow direct recognition of Mtb; these receptors include Toll-like receptors (TLR), Nod-like receptors (NLR), C-type lectin receptors (CLR) and scavenger receptors [9]. After recognition, macrophages ingest bacilli by phagocytosis, but they are unable to kill them due to the evolutionary mechanisms acquired by Mtb that actively inhibit phagosome maturation and protect Mtb from destruction by toxic compounds, such as reactive nitrogen and oxygen intermediates and hydrolytic enzymes from lysosomes; these mechanisms allow intracellular Mtb survival and proliferation [10, 11].
In addition to this intracellular proliferation, Mtb also induces a strong inflammatory response, characterized by macrophage production of cytokines like TNF-α, IL-1β and IL-6, which promote the recruitment of more macrophages from the blood [12]. The recruited macrophages are able to ingest bacilli but, like alveolar macrophages, they are unable to eliminate the ingested Mtb. The continuous recruitment of macrophages during these early stages provides a constant supply of cells susceptible to infection, as well as an increase of inflammatory signals that induces the recruitment of more susceptible cells from the blood, without causing significant tissue damage. At the same time, lung resident dendritic cells (DCs) engulf bacilli or their derived products; the inflammatory environment promotes DCs migration from the lungs to the draining lymph nodes, where they activate Mtb antigen-specific naïve T cells and induce a strong T cell response characterized by proliferation and activation of Mtb antigen-specific CD4+and CD8+T cells [13]. These T cells travel through the blood and are recruited to the infection site by the ongoing inflammatory process.
Upon recognition of the infected macrophages, T cells produce significant amounts of TNF-α and IFN-γ, the cytokines that characterize a Th1 response. TNF-α and IFN-γ increase the microbicidal mechanisms of the infected macrophages, which eventually leads to the intracellular killing of Mtb. Macrophage activation can be limited by the secretion of IL-4, IL-10 and TGF-β produced by Th2 and T regulatory (Treg) cells [14-16]. The Th1 response, however, does not lead to a complete elimination of Mtb, but to the formation of an organized cellular structure, the granuloma, where live mycobacteria persist in a dormant state known as latent infection [17]. The structure of the granuloma varies, but usually its center is formed by caseum, a structure that contains abundant remains of dead cells and forms a hypoxic, acidic and lipid-rich environment that limits extracellular Mtb proliferation. The caseum is limited by highly activated macrophages (multinucleated Langhans cells and foamy macrophages) surrounded by CD4+and CD8+T cells [18]. While the host immune response is unaffected, the granuloma structure is preserved and Mtb is contained within; however, the alteration of crucial elements of the immune response, such as the decrease of CD4+T cells during HIV infection or the blockade of TNF-α by therapeutic antibodies, causes disorganization of the granuloma structure, caseum liquefaction and oxygen access, which promotes Mtb extracellular proliferation and dissemination into the airways, from where Mtb can reach susceptible hosts [19-21] (Figure 1).
Because Mtb strains present over 99 % of similarity at their nucleotide sequence level and have identical sequences of their 16S RNAs [22, 23], for several years it was thought that they were genetically homogeneous and lacked genetic diversity. However, the development and use of different genetic tools for the study of Mtb revealed greater diversity. Studies that analyzed repetitive DNA elements in Mtb led to the discovery of high polymorphism in several strains. The study of restriction fragment length polymorphism (RFLP) in IS6110 allowed van Soolingen
Beijing strains were classified as “typical”, if they presented one or more IS6110 insertions in the noise transfer function (NTF) region, or “atypical”, if they lacked this insertion [26, 27]. Analysis of large sequence polymorphisms (LSP) indicated that Beijing strains could be divided into four different lineages, depending on the presence of RD105, RD142, RD150 and RD181 [28]. Further studies, using PCR to analyze 40 different loci in Beijing strains, showed that this group could also be divided into seven different sub-lineages, thus revealing great genetic diversity in this group [29].
In addition to the high prevalence of Beijing strains in the Southeast Asian region, Beijing strains have been associated with outbreaks in different parts of the world. The strains that were responsible for a TB outbreak in New York in the 1990’s were from the Beijing genotype, and they were more frequent in patients co-infected with HIV, reaching a mortality rate of more than 80%. Interestingly, strains from this outbreak had multidrug resistance to isoniazid, rifampicin, streptomycin, ethambutol, ethionamide, rifabutin and kanamycin, favouring treatment failure [30-32]. Later studies showed the global emergence of this genotype in different parts of the world [25, 33, 34].
Several epidemiological studies have documented the hyper-virulence of the Beijing genotype. For example, patients infected with Beijing strains have increased rates of treatment failure and relapse [35-39]. In line with these studies, Kong
Few studies focused on the immune response have been conducted in patients infected with Beijing strains. Sun
The first evidence of the hyper-virulence of the Mtb Beijing genotype came from studies with different mouse models of infection. Manca
López
However, Dormans
From these
Several studies have analyzed the ability of the Beijing strains to replicate inside macrophages and to induce cytokine production by these cells. One of the first studies that showed a differential response of macrophages to the Beijing strains was performed in human macrophages. The Beijing strain 210, isolated in the USA, grew faster in human macrophages than other Mtb strains tested, but there were no differences among the strains regarding the induction of TNF-α, IL-6, IL-10 or IL-12 [72]. A faster intracellular replication of the bacilli in human macrophages was also observed with four different Beijing strains [73]. In contrast with these results, Manca
Theus
Altogether, these results point to a heterogenic response of macrophages to different isolates of the Beijing genotype. Besides the obvious differences in the biological systems used in the studies summarized in the previous paragraphs, which could explain the differing results, experiments that have used the same
Although DCs play a crucial role for the mounting of T cell responses to Mtb, few studies have analyzed how Beijing strains affect DC functions. The first studies on this subject analyzed cytokine production by DCs. Wang
Human PBMCs consist mainly of monocytes, T cells, B cells and NK cells. Assays where PBMCs are stimulated with pathogens or their antigens can be used to evince T cell-mediated immune responses [84]. In one of the first studies that used PBMCs to assess granuloma formation
The studies described above show that Beijing strains modulate the response of different cell populations that participate during the immune response to this pathogen. However, most of these studies are focused on macrophages, leaving aside other cell populations that are known to participate in the immune response to mycobacteria, such as pneumocytes, neutrophils, mast cells, NK, NKT cells, γδ T cells, B cells, etc. Studying how these cells respond to Beijing strains will help to understand the mechanism used by this Mtb genotype to override the immune response.
Several Mtb components are associated with evasion of the immune response. Among them, lipids have been widely studied, mainly because of the atypical structure of the mycobacterial cell wall and the predominance of some types of lipids in this cell wall. Lipid extracts from the Beijing strain HN878 induced higher expression of IL-13, G-CSF and VEGF in human macrophages, compared to the expression induced by lipids from the CDC1551 strain [74]. The cell wall lipids from hyper-virulent Beijing strain 9501000 also induced higher expression of TNF-α and IL-10 than the cell wall lipids from H37Rv and Canetti genotype [87].
Reed
These studies indicate that lipids from Mtb Beijing play an important role in the regulation of macrophage activation and in the induction of cytokine production. However, further studies are needed to clarify how these lipids impact other arms of the immune response that are crucial for infection containment, such as DCs and T cells specific for Mtb lipid antigens [93]. Another potential role for the lipids of the Beijing strains could be as carbon and energy reservoirs, which would be valuable in the harsh conditions that the bacilli find inside macrophages or in the anoxic granulomas [90].
One of the first studies that analyzed proteins identified that a Beijing strain, but not Canetti or H37Rv strains, expressed mRNA for PE_PGRS Rv3652 [94]. Wu
Pheiffer
Rindi
Altogether, these results indicate that Beijing strains express a different set of proteins that could participate in many stages of the infection. First, they could modify the innate immune response through a differential engagement of pattern recognition receptors (PRRs), inducing a response that would favors infection [107]. Second, they could facilitate a rapid adaptation of the bacilli to the adverse conditions found during infection (hypoxic, or rich in reactive nitrogen and oxygen intermediates, for example) [90]. Third, the regulation of the expression of proteins that are recognized by the adaptive immune response could facilitate immune evasion and fostering survival of the bacteria [98].
Carbohydrates from Beijing strains have been poorly analyzed. Usually, carbohydrates are associated with lipids or proteins, and they are abundant on bacterial cell walls. Carbohydrates play a crucial role in the recognition of microbes by innate immune cells through PRRs, and consequently, they could modulate the whole immune response to the bacilli [108, 109].
As we have seen, the immune response is crucial role for infection containment, but other non-immune factors contribute to Mtb virulence, and a conjunction of all these factors defines the outcome of the infection. Metabolomic studies of hyper-virulent and hypo-virulent Beijing strains have reported a difference in the presence of different metabolites, including amino acids, carbohydrates and lipids [110]. How this difference impacts bacterial phenotype needs further clarification.
The studies cited above highlight a great variation in the responses to infection with Beijing strains, both
Mtb Beijing genotype belongs to the East-Asian lineage, and it is strongly associated with hosts from this geographic area. When Mtb Beijing genotype is introduced to new areas, where it is uncommon, it preferentially infects hosts that also come from its original geographic area. Studies in Italy and Sweden indicate that infection with Mtb Beijing genotype is uncommon among natives and more frequent among migrants from areas commonly infected by this genotype, which suggests a poor adaptation of Mtb Beijing genotype to the native hosts [116, 117]. In fact, the genetic diversification of Mtb Beijing genotype has been associated with adaptation to particular human populations [118].
Which host factors predispose to infection with Mtb Beijing genotype? Some studies indicate that infection with Beijing strains occurs preferentially in hosts that have particular polymorphisms in immune response genes. In Vietnamese patients, infection with Beijing strains was associated with the presence of the TLR-2 allele T597C [119], and recent reports indicate that TLR-2 polymorphisms are differentially distributed in human populations according to their geographic localization and ethnicity [120]. Whether these polymorphisms affect the immune response to Beijing strains still needs to be analyzed, but differential activation of TLR-2 and TLR-4 by Mtb strains from different genotypes has an impact on the immune response to the bacilli [121].
Crevel
Mtb Beijing genotype has attracted attention because of its high prevalence among TB patients, but despite multiple studies, the causes of this success remain obscure. An interesting aspect of Mtb Beijing genotype infection is the diversity of the immune responses that are induced in humans and in experimental models (
This work was supported by SIP, IPN and Conacyt (157100 CB-2010-01).
The growing demand for fast, miniaturized, and power-efficient optical devices leads to provide growth opportunities for photonic integrated circuits (PICs) to process or distribute information. Passive PICs are widely utilized, for example, for optical beam steering [1], integrated photonic filters [2], and integrated silicon photonics transceiver [3] nevertheless, active PICs have numerous applications in optical systems such as lossless reconfigurable optical add-drop multiplexers (ROADM) in the fronthaul network [4]. The PICs allow optical systems to be more compact than discrete optical components. However, some PIC components, such as modulators, multiplexers, and splitters, cause a high loss. In addition, in a PIC, active and passive optical components are interconnected by lossy optical waveguides and need to be coupled with input and output fibers, which adds even more attenuation. One of the most promising solutions for compensating PIC losses is to integrate a semiconductor optical amplifier (SOA) on-chip in combination with other passive components. Numerous research studies have been reported on SOA technology and applications, both as on-chip or stand-alone components [5, 6]. SOAs can be designed to amplify signals in a very wide band range, over 100 nm optical bandwidth [7], to implement loss-less high-speed systems [8]. They are available in both C-band and O-band. When designed in O-band, they are commonly used in coarse wavelength-division multiplexing (CWDM) systems [9]. Manifold researches have shown their role in optical communication networks. Schmuck et al. [10] presented SOA performance in open metro-access to create a transparent and reconfigurable optical ring network; in [11], they reported the importance of SOA efficiency in PON-applications as a booster and pre-amplifier. Ramírez et al. [12] described the essential role of SOA to extend the link power budget in short reach networks in an 8 × 50 Gb/s WDM system. SOAs are also considered as a substantial component for ultrafast all-optical signal processing devices, as wavelength converters [13], all-optical gates [14], and optical de-multiplexers [15]. Recently, on-chip SOAs attracted a lot of attention due to their large-scale integration capability, low cost, and offer of more compact and smaller devices with low losses. Over the last few years, SOA integration technology has significantly been developed. Different technologies have been demonstrated for SOAs use in photonic chips, either by hybrid or by monolithic integration solution. Developing SOA is challenging on both pure InP platforms and hybrid III-V-on-silicon platforms. Specific coupling/bonding techniques are required such as flip-chip bonding [16, 17], die-to-wafer bonding [18], edge coupling [19], spot size converter (SSC) [20] and chip-to-chip butt coupling [21]. Furthermore, SOA monolithically integrated with photodiodes has been proposed as a promising technique for low-cost, high-speed, high-sensitivity SOA_PIN receivers [22, 23]. The recent demonstration of SOA heterogeneous integration on a silicon substrate by direct bonding of InP-based active region to the substrate introduced new possibilities for advanced PICs in the high wavelength areas [24]. More recently, a U-bend design has been proposed for III-V gain devices, such as SOAs, for simplifying the butt-coupling between the III-V chip and silicon-on-insulator photonic circuit [25]. All these techniques have been proposed to enable the SOA implementation on-chip for different applications. SOAs can operate either in the linear regime, as reach-extender amplifiers in gigabit passive optical networks (GPON) [26], or in the nonlinear regime, as an all-optical switching [27, 28]. SOA-based chip-level applications are not limited to optical communication systems but also include medical sensors, industrial and environmental monitoring [29], and nonlinear optics [30]. Depending on application requirements and chip fabrication constraints, the SOA working operation such as design may be very different. One of the most significant parameters is the gain value. SOAs can be designed to operate at high gain, as required on the receiver side to increase sensitivity [11], as well as at low gain/high output saturation power, as needed at the transmitter side in order to increase the lunch power [31]. Generally, chip-scale tunable lasers utilize a booster SOA. In integrated microwave photonics, a high gain SOA is required in combination with a tunable comb laser [32] or tunable ring-resonator-based lasers [33, 34]. In Ref. [35], a vertical-cavity surface-emitting laser (VCSEL) is co-packaged with a high gain SOA for OCT and LiDAR applications. Device parameters (e.g., active region dimensions and gain) and system parameters (e.g., input signal extinction ratio (
In this chapter, we propose a new analytical model for the SOA impact on the signal quality factor by taking into account the effects of gain compression, ASE noise, signal extinction ratio (
The system under investigation is described through the block diagram in Figure 1a.
(a) Block diagram, and (b) System representation. OF: optical filter, EF: electrical filter, and STG: saturated gain.
An optical transmitter generates the signal
where
In the hypothesis of
being
where
By neglecting thermal and quantum noise, the photodetected current is:
Being
where
Each sample represents a distorted binary symbol with an additional white Gaussian noise whose variance depends on the instantaneous noise contribution as described in Eq. (6). When an OOK bit stream as represented in Figure 2a is propagated through the system, the photo detected current will assume the generic behavior of Figure 2b including those distortions that can be ascribed to the saturated gain and the additional noise. By neglecting the effect optical and electrical filters, it is possible to identify the highest and lowest values for samples corresponding to each input bit-level providing:
(a) Input signal example, (b) distorted output. Sampled values are marked at Tb/2 interval and they are shown with circles.
when
when
In the simple case of linear gain,
Noise variances assume four discrete values in correspondence of best and worst cases for low and high input power that will be indicated with
As it is shown in Figure 3, when the optimal threshold is used for bit decision [42] and bit one and zeros have the same probability, the bit error rate (BER) can be found, in the two cases, by the highlighted areas so that:
Probability density function
When threshold is optimized,
where,
In the linear case,
In the simulation and experimental results, the quality factor (eye-opening) is considered based on the signal received by the decision circuit that samples at the decision instant (
Figure 4 shows, as an example, 10 Gb/s NRZ signal eye diagrams when passing an SOA operating in nonlinear (top) and linear(bottom) regimes. On the left-hand side, analytical probability density functions (pdf) are reported in the two boundary cases; to the right, simulated pdfs are shown for comparison. SOA parameters are given in Section 4. When the input signal power is high enough (–12dBm in the example), SOA suffers for nonlinearities and the analytical model estimates a Q-factor to be
Normalized eye diagrams and probability density functions (pdf) for SOA operation in nonlinear (a), and linear (b) regimes, left side: shows pdfs considering
Although the model assumes single-channel transmission, it is even valid for multichannel systems. In fact, if the linear operation description is trivial, in the nonlinear case, the worst estimation is given when all the WDM channels are assumed to be synchronous with the same data stream. Since this analytical model is based on the gain variation in the SOA, any effect that has an impact on that, including nonlinear gain modulation, contributes to Q-factor degradation. For instance, consider the SOA performance in the WDM system (as in line amplifier) for 12 ×25 Gb/s NRZ transmission with 200 GHz channel spacing with the power per channel equal to –12 dBm and extinction ratio of 15 dB. In this case, the total power is –1.2 dBm (corresponding to –12 dBm per channel). Using the model for a single channel with –1.2 dBm, provides the estimated boundary conditions of the quality factor for all 12 channels. In the following different impairments will be studied and analytical expressions provided.
In order to isolate the effect of saturated gain, the following assumptions have been made:
Ideal optical and electrical filters so that Be/Bo=1.
When a binary pattern with an infinite extinction ratio is propagated through an SOA, each bit one is instantaneously amplified with a gain that depends on the previous bit sequences and can vary between the small-signal linear gain
Simulated eye diagrams (Power (mW)) for various bit rates at 1555 nm at
When the bit rate is low,
Boundary conditions can be easily determined from Eq. (15), such as:
and,
where
(a) Input signal example with infinite extinction ratio. Distorted output: (b) without ASE, (c) with ASE effect. Sampled values are shown with the dotted lines. The highest and the lowest output power at the sampling are marked by the dash-dotted and dashed lines, respectively. At the sampling instant of bits one, the highest power is marked by an empty circle, the lowest power is marked by a filled circle.
(a) Simulated gain as a function of input power at Idc applied in (b), (c), and (d). Arrows show the corresponding
Results are shown in Figure 7c and d, respectively. In the linear regime, as gain remains almost constant (∼
It should be noticed, in this case, that for isolating the gain effect, we ignored all other effects on the signal quality that led to obtaining quality factors higher than realistic cases.
One of the most significant parameters that should be considered for a launched signal through an SOA is the signal ER, as it affects the amplified signal quality. When a binary pattern with finite ER propagates through an SOA, amplification occurs on both input bit levels. So that, not only bits one but also bits zero instantaneously experience amplification with the gain that depends on their former bit sequences (Figure 8). The highest power for bit zero is obtained when the pattern preceding bit zero is composed of several consecutive zeros, large enough for complete gain recovery, and can be approximated by
Part of the simulated distorted output of an ideal rectangular input with an extinction ratio of 10 dB. Arrows show best and worst cases for low and high noise variances. Solid and dashed circles indicate the amplified zero level results of saturated gain and full recovery gain respectively.
and,
In Figure 8, part of the simulated output signal pattern of an ideal rectangular input signal, with an extinction ratio of 10 dB, is represented. Four discrete values of best and worst case, for low and high noise variances, are marked by the arrows. Referring to Figure 8, it is evident, when the ER is finite, the low (‘zero’) level will be amplified too. Besides, its output power is variable due to gain variation from saturated gain (
Under static operation conditions, maximum SOA gain can be found as a function of the average input power
where
Saturated amplifier gain G as a function of the input power for 15.3 dB of the small-signal gain. (a) Full recovery gain for input signals with high ER >10 dB. Obtained by
Eventually, for low ER input signals, in Eqs. (19) and (20),
Quality factor as a function of input power with, (a) ER = 20 dB, (b) ER = 15 dB, (c) ER = 8 dB, and (d) ER = 5 dB with small-signal gain G0 = 15.3 dB.
At low ER and high input power, where the
Range of signal performance dependence on the input power and various ER for an SOA with an unsaturated gain of
As it is shown in Figure 1b, the transmission system includes two bandpass filters, the first one, in the optical domain, usually placed just before photodetector, whose role is to remove out-band noise (such as ASE noise or cross talk due to adjacent channels). The second one in the electrical domain is generally matched to the transmission signal bandwidth to maximize the signal-to-noise ratio before the sampler. In a typical case of OOK NRZ transmission, a 4th order Bessel-Thomson filter with a bandwidth of 75% the bit rate is used. However, when nonlinearities affect the signal, such as SOA gain saturation, the matched filter does not provide optimal performance.
In this work, we performed analytical modeling of electrical filter effects on the Q-factor of the data streams and evaluated them through numerical simulation. At the first stage, we removed the SOA and optical filter. The effect of the electrical filter was considered on the received rectangular bit pattern. Then it was extended to investigate the electrical filter effects on the amplified bit pattern while SOA operated at the nonlinear regime. The numerical simulation of the filter effect on the data pattern and eye diagram of the rectangular signal is depicted in Figure 12. Applying the filter shapes the signal and affects the power of bits zero. Taking into account these facts, the effect of a Gaussian filter on signal quality was investigated. The performance of the Gaussian filter has also been compared with other conventional filters such as Super Gaussian and Raised Cosine (RC) filter. At the receiver input, an electrical Gaussian filter is included, where its 3-dB bandwidth is set to a frequency of 75% of the transmission data rate. The impulse response for the low-pass Gaussian filter, using Gaussian function, is defined as [45]:
(a) Simulated filter effect on rectangular data pattern, (b) eye diagram of unfiltered signal, and (c) filtered by G1. Arrows show normalized filter value at the end of the duration of the bit one (0.5) and in the sampling instant of the bit zero (0.062). ISI effect on bit zero is marked with a square.
where
where
Simulated eye diagrams of filtered rectangular signal with (a) RC, (b) G2.
where,
and,
where,
As an example, we consider an SOA with a small-signal gain of 17.2 dB (
Quality factor as a function of input power for 1555 nm signal, (a) without EL filter, (b) with RC filter, (c) with filter G1, and (d) with filter G2.
The model including different filters (RC, G1, and G2) have been validated numerically for an SOA input power large enough to assure a nonlinear regime (-4.8 dBm). We considered the effect of filters on signal quality by making a comparison of
As it is shown in Figure 14a, in the absence of an electrical filter, the signal quality at the high input power is high, even though the signal pattern in this area is affected by SOA nonlinearities. Figure 14b shows that the RC filter causes to reduce the
In conclusion, the electrical filter can be appropriate for optimizing performance in the linear operation to reduce the additive noise, however, for the nonlinear operation, it is inappropriate since it leads to a decrease in the Q-factor due to the patterning and ISI effects. Thus, system optimization must consider receiver filter shape and bandwidth as a function of SOA operation.
Finally, the performance of the G1 on the amplified received signals, with various input power and different ERs, has been considered. In comparison with Figure 11, the effect of the filter on
First-order Gaussian filter effects on output signals of SOA with gain 15.3 dBm. Lines separate the boundary with different quality factors in the (a) best (
The analytical model is validated through experiments. For that purpose, SOA gain was characterized as a function of input power different bias currents (from 200 to 70 mA). Each bias current provides a specific
Gain as a function of input power at Idc = 200 mA (Idc = 92 mA). Simulation (solid line) and measured (dots). The
The experimental setup for model validation is depicted in Figure 17. A 10 Gb/s NRZ signal was generated by exploiting a Mach-Zehnder modulator (MZM) fed with a continuous wave laser (CW) at 1555 nm and driven by a bit pattern generator (BPG) with a 211-1 PRBS. The input power into the SOA is adjusted through a variable optical attenuator (VOA). The MZM bias has been adjusted to keep a constant extinction ratio of 13 dB for the generated rectangular signal. This tuning is performed to emulate the ER effects on the signal performance. The signal input power and extinction ratio had been measured before launching into the SOA. The amplifier is biased at 70 mA, which corresponds to 15.3 dB gain for 1555 nm wavelength with saturation input power of –13 dBm. A 0.7 nm optical band-pass filter (OBPF) was used to mitigate the emitted ASE noise for eye-diagram evaluation and Q-factor. The received amplified signal is detected utilizing a 40 GHz photo receiver followed by a 45 GHz real-time oscilloscope and a 10 Gb/s error detector. To investigate the ER effects, in both linear and NL operation regimes, the measurements have been done on the signal with different powers ranging between –20 dBm and +3 dBm, fed into the SOA. Figure 17 reports the eye diagram of the received signal in back-to-back and the eye diagram of the amplified signal, with +3 dBm injected power into the SOA. Although such a high input power drives the SOA into the deep saturation, the result shows a clear eye-opening with the quality factor of 16.4 dB (corresponding to a BER of 10−12), which is in good agreement with the analytically obtained result. The analytically obtained signal quality as a function of input power for a constant extinction ratio of 13 dB is depicted in Figure 18a together with the experimental measurement results. The analytically Q-factor for the signal with the input power of –11 dBm is 20 dB while in practice obtaining this value of Q-factor requires a device with very high sensitivity. Therefore, we considered the maximum sensitivity of the available device,
Experimental setup for BER measurements of the amplified signal, while the input power is varied, the ER of the input signal to SOA is tuned to 13 dB (and 6 dB). The eye diagrams of the received signals are shown for the back-to-back (left) and after the SOA (right) with the input ER of 13 dB at 3 dBm input power. SOA drives at the bias current of 70 mA, which corresponds to a 15.3 dB gain for 1555 nm wavelength. BPG: bit pattern generator, OBPF: optical band-pass filter, PC: polarization controller, VOA: variable optical attenuator.
Quality factor as a function of input power for 1555 nm signal with, (a) ER=13 dB, (b) ER=6 dB. The analytical
To evaluate the model for low ER effects on SOA operation, we also performed the BER measurements for the signal transmission with ER = 6 dB and various powers at the SOA input. Experimental BER results are depicted in Figure 18b together with both analytical and simulated results. The analytical curves and simulation results are in good agreement with experimentally obtained results.
We made a comparison between a data pattern with a low and high extinction ratio. In Figure 19, the eye diagrams of amplified signals with –4.8 dBm input power, ER = 6 and 23 dB, are reported along with the corresponding data patterns. From the signal’s pattern, it is evident that low ER causes a severe patterning effect due to the distortion of zero level and a consequence eye degradation. While at high ER, there will be no ER effect on the zero level, and the patterning effect is only due to nonlinear effects.
Eye diagrams of received amplified signal with SOA input power of –4.8 dBm and (a) ER = 23 dB, (b) ER = 6 dB, at a bias current of 70 mA, with the pattern of the corresponding signals (left side). The arrows marked the ER effect on zero level.
Based on the experimental results, we can interpret the behavior of the SOA quality factor due to our analytical model as follow. We estimated a boundary condition for the SOA quality factor
The optimization of system performance requires proper knowledge of the device parameters, operating conditions, and system specifications when an SOA is used as a gain element. The availability of an analytical model capable of describing most of the dominant effects is beneficial in system design. Here, we proposed a method based on the analytical expressions for best and worst quality factors
Signal performance dependence on the input power and ER for an SOA with a small-signal gain of (a) G0 = 15.3 dB, and (b) G0 = 8.2 dB. Lines separate the boundary with different quality factors (
The following equations provide us with a guideline to estimate the Q-factor boundary conditions, with a different range of extinction ratios and a large range of SOA input power. This tool also leads us to choose a proper electrical filter at the receiver side:
where
and,
where
We propose to use this tool as guidelines to make a design for lossless photonic integrated circuits. There are plenty of research activities on the design and performance of PICs in the form of functional devices for standard networks and transmission. The standard networks require advanced PICs with the lowest loss. Several investigations have been done on providing new designs and technologies for the fabrication of low-loss PICs. However, using SOA in PICs, as a loss compensator can be an effective way of mitigating PICs losses. We propose the design guidelines for the SOA as an on-chip loss compensator, which provides a high-quality amplified signal to optimize the PIC performance. Exploiting the analytical model given in this manuscript, accompanied by numerical analysis of a multi-section cavity model we proposed in [41], can lead us to realize the optimum design of an SOA on-chip. For optimal SOA model design to incorporate the flip-chip bonding technique constraints in the hybrid integrated SOA–SOI chip, we proposed to exploit the multi-section analysis [41]. Our analytical model provides us with a guideline to easily design lossless PICs, using an SOA for loss compensation. Within this model, several effects, including reduced input extinction ratio, on SOA performance are considered. In addition, it was shown how these effects, can be compensated only by changing the SOA gain. Based on our analytical model, it is suitable to use a low gain SOA to ensure that signals are amplified with high quality, no matter the input signals extinction ratio is high or low. To illustrate that, we considered a PIC with an estimated total loss of about 10–12 dB. The estimated boundary conditions of quality factors [Eqs. (29) and (30)] guide us to choose an SOA with the proper gain for compensating the presented loss. Considering –9 dBm input signal, at the wavelength of 1555 nm with an extinction ratio of 5 dB, drives into the SOA.
As depicted in Figure 21, using 15 dB gain compensates 100% of loss at the cost of reducing Q-factor while using 10 dB gain, 70% of loss will be compensated but ensures an error-free operation. The reason behind the Q-factor reduction at this power, with 15 dB gain, is the OSNR degradation due to accumulated ASE noise emanating from the SOA. In our SOA model, the ASE noise is modeled as white Gaussian noise. Accordingly, we considered the affection of the accumulated noise from SOA on the Q-factor as noise variances. The effect of ASE in lower gain (10 dB) is smaller than that in higher gain (15 dB) at the input power of –9 dBm for 5 dB of ER. We should note that the –9 dBm input power is equal to the saturation input power of the SOA with 10 dB gain, and it drives the SOA with 15 dB gain into the nonlinear operation area. However, the saturated gain of the SOA, with 15 dB gain, at this input power is higher than the saturated gain of the other SOA (with 10 dB gain), which causes a higher ASE and a reduction in Q-factor. Another reason for the Q-factor reduction is the impact of the gain value on the zero-level bits. Since the ER is low, the higher gain has a severe impact on zero-level bits, consequent the Q-factor reduces. Although, at low input power both gains show the same behavior, though using low gain SOA is more appropriate at the higher input power. The results show only 10 dB SOA is enough for compensating 10 dB loss for both linear and nonlinear operation areas.
Quality factor boundary of the SOA with G0 = 15.3 dB (marked by stars) and saturation input power of –13 dBm, and the SOA with G0 = 10 dB (marked by squares) and saturation input power of –9 dBm, for an input signal at 1555 nm with ER = 5dB.
This tool also can be used as design guidelines to maximize the amplified signal Q-factor based on the SOA parameters. Designing an active region with a short length, large-cross section, and low confinement factor produces low
It is worth mentioning, with a detailed perspective, we should consider that at very low currents, the stimulated emission (SE) dominates
The boundary conditions of the quality factor show that the Q-factor behavior is related to the value of
Initially, we modeled SOA based on the experimentally obtained and fit parameters, using the numerical model described in [41]. Afterward, we changed the active region length and some other parameters to achieve the ≈ 8 dB gain. We modeled SOAs with different active region lengths (
where
Quality factor boundary of the linear operation area of an SOA with different active regime length, where its peak gain and the saturation power remains constant. The input signal power and extinction ratio are –15 dBm and 6 dB, respectively.
Symbol | Description | value | Unit |
---|---|---|---|
w | Width of active region | 0.4 | |
d | Thickness of active region | 0.1 | |
Confinement factor | 0.4 | — | |
Transparency carrier density | |||
Internal loss coefficient | |||
Differential gin coefficient | |||
Average refractive index | - | ||
Free carrier life time | 382 | Ps | |
Peak wavelength | 1555 | nm |
SOA geometrical and material parameters were used in the simulation.
With regards to Eqs. (29) and (30), while the extinction ratio of the input signal is high and there is no electrical filter on the receiver side (
When the length decreased, the peak gain was maintained constant by reducing the bias current simultaneously. Decreasing bias current decreases the population-inversion factor, which results in optimized Q-factor boundary conditions. Thereby a device with low
We proposed an analytical model for estimating the performance of optical transmission systems including SOA in terms of Q-factor. The model allows to design high-performance SOAs based on system design constraints and requirements. In PIC with integrated SOAs, the model accompanied by the multi-section cavity model we proposed in [41] provides a tool for improving the design, limiting the number of fabrication runs and related costs. The model estimates the Q-factor based on SOA parameters (gain), signal properties (ER), and filter type at the receiver side. The effects of ASE noise and saturated gain compression are also included in the model. The model was validated through numerical simulation and experiments. The dependency of the optimal SOA gain on the signal extinction ratio has been investigated. This fact is a crucial aspect in optical interconnection applications that use low extinction ratio transmitters. It was shown at a low extinction ratio (
The authors thank Dr. Francesco Fresi for fruitful discussions and invaluable suggestions.
The authors declare no conflict of interest.
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It was shown that DNase and MBP-hydrolyzing Abzs are easily detectable at the beginning of autoimmune diseases (ADs) including MS, when concentrations of antibodies to autoantigens are not yet significantly increased and correspond to levels in healthy donors. In addition, the relative enzymatic activity of antibodies from cerebrospinal fluid (CSF) is ~50-fold higher than that from the sera of the same MS patients. Experimental autoimmune encephalomyelitis (EAE) in C57BL/6 mice, a model mimicking relevant aspects of human MS was used. During development of spontaneous and MOG35-55-induced EAE in C57BL/6 mice, a specific reorganization of the immune system of mice was observed. It leads to a condition which was associated with the generation of catalytically active IgGs-hydrolyzing DNA, myelin basic protein (MBP), and MOG. Production of Abzs was associated with increased proteinuria, leading changes in differentiation of mice bone marrow hematopoietic stem cells (HSCs) and an increase in proliferation of lymphocytes in bone marrow, spleen, and thymus as well as a significant suppression of cell apoptosis in these organs. Treatment of control non-autoimmune CBA mice with MOG led to the different differentiation and proliferation of HSCs comparing with EAE C57BL/6 mice. The treatment of EAE mice with cuprizone inducing demyelination lead to a significant decrease in the size of the brain corpus callosum, but do not significantly change the differentiation profile of HSCs differentiation when compared with untreated mice. It indicates that cuprizone treatment is associated with demyelination, but not autoimmune reactivity. The possible differences in immune system reorganizations during preclinical phases of the disease, acute and late EAE, leading to production of different autoantibodies and Abzs as well other changes are discussed.",book:{id:"5156",slug:"trending-topics-in-multiple-sclerosis",title:"Trending Topics in Multiple Sclerosis",fullTitle:"Trending Topics in Multiple Sclerosis"},signatures:"Georgy A. 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However, psychosis research has tended to focus on clinical outcomes and not to differentiate between subtypes of psychotic-like experiences (PLE) that might differ regarding their psychopathological significance. Importantly, this might have obscured a more accurate picture of the complex structure of psychosis and the significance of particular risk and protective factors. Notably, while studies point toward a continuity of psychotic experiences and accompanying factors across the general population, there is evidence indicating that some PLE in healthy individuals might also be associated with a weaker expression of other subclinical symptoms, increased well-being and even resilience to some degree. Importantly, such findings might have implications on strategies in psychosis prevention and therapy, early detection, as well as the construction of continuum models of psychosis. The present chapter aims at drawing together findings that necessitate a more differentiated view and assessment of PLE. It intends to provoke new questions that might offer starting points for future investigations, such as longitudinal studies investigating the interplay of subclinical symptoms.",book:{id:"7117",slug:"psychosis-biopsychosocial-and-relational-perspectives",title:"Psychosis",fullTitle:"Psychosis - Biopsychosocial and Relational Perspectives"},signatures:"Lui Unterrassner",authors:[{id:"245870",title:"Ph.D. Student",name:"Lui",middleName:null,surname:"Unterrassner",slug:"lui-unterrassner",fullName:"Lui Unterrassner"}]},{id:"18334",title:"Challenges and Opportunities in Diagnosis and Management of Generalized Anxiety Disorder in Primary Care",slug:"challenges-and-opportunities-in-diagnosis-and-management-of-generalized-anxiety-disorder-in-primary-",totalDownloads:3836,totalCrossrefCites:0,totalDimensionsCites:0,abstract:null,book:{id:"236",slug:"anxiety-and-related-disorders",title:"Anxiety and Related Disorders",fullTitle:"Anxiety and Related Disorders"},signatures:"Mehtap Kartal",authors:[{id:"33369",title:"Dr.",name:"Mehtap",middleName:null,surname:"Kartal",slug:"mehtap-kartal",fullName:"Mehtap Kartal"}]},{id:"67627",title:"Borderline Personality Disorder and Childhood Trauma: The Posited Mechanisms of Symptoms Expression",slug:"borderline-personality-disorder-and-childhood-trauma-the-posited-mechanisms-of-symptoms-expression",totalDownloads:1213,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Traumatic events are reported in a large percentage of the population, however, only in some individuals it will lead to a diagnosable trauma-related disorder. Borderline personality disorder (BPD) is deemed to be a form of acute reaction to childhood trauma. Therein experiences of childhood abuse and neglect take on an important etiological role, generating severely disorganized attachment relationships, which in turn affect the development of emotional regulation systems, and significantly inhibit the development of mentalization and metacognitive skills. Furthermore, the last decade has seen important contribution of neuroscientific research in shedding light on the neurobiological correlates of traumatic experiences. A wealth of scientific literature links the onset of BPD to the combination between genetic and environmental factors (G×E), in particular between biological vulnerabilities and the exposure to traumatic experiences during childhood. Although no research can predict with certainty which trauma will translate into symptoms, there are indications as to who is more at risk of developing a trauma-related disorder. Herein we describe the psychological and epigenetic mechanisms affected by childhood trauma and altered in BPD patients.",book:{id:"7834",slug:"psychological-trauma",title:"Psychological Trauma",fullTitle:"Psychological Trauma"},signatures:"Maria Uscinska, Nicolo’ Gagliano, Andrea Polla Mattiot and Silvio Bellino",authors:[{id:"285336",title:"Dr.",name:"Maria",middleName:null,surname:"Uscinska",slug:"maria-uscinska",fullName:"Maria Uscinska"},{id:"288179",title:"Dr.",name:"Andrea",middleName:null,surname:"Polla Mattiot",slug:"andrea-polla-mattiot",fullName:"Andrea Polla Mattiot"},{id:"302735",title:"Dr.",name:"Nicolo'",middleName:null,surname:"Gagliano",slug:"nicolo'-gagliano",fullName:"Nicolo' Gagliano"}]},{id:"69569",title:"Introductory Chapter: Psychological Trauma",slug:"introductory-chapter-psychological-trauma",totalDownloads:906,totalCrossrefCites:0,totalDimensionsCites:0,abstract:null,book:{id:"7834",slug:"psychological-trauma",title:"Psychological Trauma",fullTitle:"Psychological Trauma"},signatures:"Ana Starcevic",authors:[{id:"182584",title:"Dr.",name:"Ana",middleName:null,surname:"Starcevic",slug:"ana-starcevic",fullName:"Ana Starcevic"}]},{id:"71936",title:"Feeding and Eating Disorders",slug:"feeding-and-eating-disorders",totalDownloads:2127,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Eating disorders, which are well known as a substantial mental health problem in society, have been reclassified as feeding and eating disorders in DSM-5 and also in the 11th revision of ICD. The new classification includes binge eating disorder and avoidant-restrictive food intake disorder (ARFID), in addition to anorexia and bulimia nervosa. They are considered serious disorders, with high morbidity and mortality risks, that affect the young community in particular. Current research shows increases in all genders and age groups. Various genetic and biologic factors, an insecure personality type, impulsive traits, dysfunctional emotion regulation, and society’s ideal of slimness have been found to play a role in the development of these disorders. A dual approach with focus on the symptom and the underlying problems is needed for all types of eating disorders throughout the psychotherapeutic interventions. Assessing comorbid psychiatric and medical symptoms is extremely important. Further research and new directions of treatment are needed with regard to the expanded classifications.",book:{id:"9489",slug:"neurological-and-mental-disorders",title:"Neurological and Mental Disorders",fullTitle:"Neurological and Mental Disorders"},signatures:"Bianca Suciu and Cătălina-Angela Crișan",authors:null}],onlineFirstChaptersFilter:{topicId:"187",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"81566",title:"New and Emerging Technologies for Integrative Ambulatory Autonomic Assessment and Intervention as a Catalyst in the Synergy of Remote Geocoded Biosensing, Algorithmic Networked Cloud Computing, Deep Learning, and Regenerative/Biomic Medicine: Further Real",slug:"new-and-emerging-technologies-for-integrative-ambulatory-autonomic-assessment-and-intervention-as-a-",totalDownloads:9,totalDimensionsCites:0,doi:"10.5772/intechopen.104092",abstract:"While the important role of the autonomic nervous system (ANS) has been historically underappreciated, recently there has been a rapid proliferation of empirical, methodological and theoretical progress in our more detailed understanding of the ANS. Previous more simplistic models of the role of the ANS using the construct of homeostasis have been enhanced by the use of the construct of allostasis and a wide variety of technological innovations including wearable and implantable biosensors have led to improved understanding of both basic and applied knowledge. This chapter will explore in particular heart rate variability (HRV) as a rich variable which has developed an extensive literature, beginning with predicting all-cause mortality, but now encompassing a wide variety of disease and illness states; cognitive, affective and behavioral processes and performance optimization. A critical analysis of HRV from the perspective of complex adaptive systems and non-linear processes will be included and innovative future uses of HRV will be described.",book:{id:"10835",title:"Autonomic Nervous System - Special Interest Topics",coverURL:"https://cdn.intechopen.com/books/images_new/10835.jpg"},signatures:"Robert L. Drury"},{id:"80949",title:"The Cerebral Venous System: New Pathophysiological Theories and Diseases Related to Veins Occlusion",slug:"the-cerebral-venous-system-new-pathophysiological-theories-and-diseases-related-to-veins-occlusion",totalDownloads:44,totalDimensionsCites:0,doi:"10.5772/intechopen.102351",abstract:"Cerebral physiology and pathology are still frequently missing a comprehensive explanation and a complete description, but new data and hypothesis are emerging on a daily basis. Particularly, comprehension of the cerebral venous system’s functions and functioning has undergone through the last decades a deep and extended change. Depiction of the perivascular spaces and the mechanisms of glymphatic system has given light about venous system pivotal role in the genesis of different pathologies such as multiple sclerosis, hydrocephalus, cerebral hemorrhages, and strokes. After a key point discussion about embryology, physiology, and anatomy of the cerebral venous system, an overview is provided on the main pathologies, both well-known and newly described ones, in which cerebral veins act a major pathogenic role.",book:{id:"11371",title:"Cerebral Circulation - Updates on Models, Diagnostics and Treatments of Related Diseases",coverURL:"https://cdn.intechopen.com/books/images_new/11371.jpg"},signatures:"Giorgio Mantovani and Alba Scerrati"},{id:"80939",title:"Diagnosis and Treatment of Ophthalmology Related Cerebral Arterial Circulation Diseases: A 3D Animated Encyclopedia",slug:"diagnosis-and-treatment-of-ophthalmology-related-cerebral-arterial-circulation-diseases-a-3d-animate",totalDownloads:23,totalDimensionsCites:0,doi:"10.5772/intechopen.102846",abstract:"Cerebral circulation is the flow of blood through a group of arteries and veins which supply the brain. There are various diseases related to ophthalmology, due to pathologies in the cerebral arterial system. Arteries inside the skull can be blocked by plaque or disease, which in turn triggers a series of events leading to various cranial nerve palsies, visual fields defects, retinal diseases, etc. The highlights of this chapter are the novel three-dimensional (3D) animative videos created by us, to simplify various cerebral arterial circulation diseases and their diagnostic concepts for neophytes. 3D animative videos can aid learning and help in the cognitive concept building of these complex pathologies.",book:{id:"11371",title:"Cerebral Circulation - Updates on Models, Diagnostics and Treatments of Related Diseases",coverURL:"https://cdn.intechopen.com/books/images_new/11371.jpg"},signatures:"Prasanna Venkatesh Ramesh, Shruthy Vaishali Ramesh, Prajnya Ray, Aji Kunnath Devadas, Tensingh Joshua, Anugraha Balamurugan, Meena Kumari Ramesh and Ramesh Rajasekaran"},{id:"80895",title:"Heart Rate Variability as a Marker of Homeostatic Level",slug:"heart-rate-variability-as-a-marker-of-homeostatic-level",totalDownloads:26,totalDimensionsCites:0,doi:"10.5772/intechopen.102500",abstract:"Many variables have been used as homeostatic level markers. Heart Rate Variability (HRV) has been frequently cited as an indicator of homeostatic status. Low levels of HRV are associated with aging, disease, or increased risk of death. We present a study based on more than 10.5 million data collected from the literature, associating the degree of global clinical impairment of individuals, with their respective HRV data, seeking to establish a classification of Homeostatic Levels. Three specific variables were evaluated: heart rate (HR), the root-mean-square of successive differences between adjacent normal RR intervals in a time interval (RMSSD) and the HF band (HF ms2). It was possible to detect significant differences between the 83,927 data from healthy individuals and the 382,039 data from individuals with significant homeostatic impairment. It was demonstrated that the RMSSD is very sensitive to the worst homeostatic state, presenting a behavior independent of age and that the values found in the general population do not match the values of apparently healthy individuals. An alphanumeric classification of the homeostatic level in a three-level architecture was proposed, with three stages for each level, which may be extremely useful in prognostic assessment and decision-making about individual people.",book:{id:"10835",title:"Autonomic Nervous System - Special Interest Topics",coverURL:"https://cdn.intechopen.com/books/images_new/10835.jpg"},signatures:"Moacir Fernandes de Godoy and Michele Lima Gregório"},{id:"80456",title:"Cerebrospinal Venous Obstruction: Anatomy, Clinical Presentation, Diagnosis, and Treatment of Chronic Infective Cerebrospinal Venulitis",slug:"cerebrospinal-venous-obstruction-anatomy-clinical-presentation-diagnosis-and-treatment-of-chronic-in",totalDownloads:90,totalDimensionsCites:0,doi:"10.5772/intechopen.102685",abstract:"This review chapter describes the normal anatomy and function of the cerebrospinal venous system, ultrasound diagnosis of obstructions in the system, and the clinical implications and treatment of chronic cerebrospinal venous obstruction (CCSVO) associated with chronic persistent Chlamydophila pneumoniae (Cpn) infection. The normal patterns of flow in the cerebrospinal venous system are described and guidelines for the interpretation of the extracranial duplex ultrasound (ECDU) examination of the neck veins are presented. An infective cause of CCSVO is proposed and relevant pathology tests necessary for a diagnosis of chronic persistent Cpn venulitis are discussed. A treatment protocol for Cpn chronic venulitis is described and recommended. The progress of the patient with CCSVO can then be followed and monitored by using the ECDU and relevant pathology tests after 3 and 6 months. CCSVO is a relatively common condition encountered in chronic diseases of unknown etiology and is often neglected by medical practitioners when managing patients with symptoms of brain fog, chronic headaches, and fatigue. Objective diagnostic and treatment protocols are required to make further progress with these conditions.",book:{id:"11371",title:"Cerebral Circulation - Updates on Models, Diagnostics and Treatments of Related Diseases",coverURL:"https://cdn.intechopen.com/books/images_new/11371.jpg"},signatures:"Paul K. Thibault"},{id:"80543",title:"Measurement of Cerebral Circulation in Human",slug:"measurement-of-cerebral-circulation-in-human",totalDownloads:55,totalDimensionsCites:0,doi:"10.5772/intechopen.102383",abstract:"In this chapter, we review state-of-the-art non-invasive techniques to monitor and study cerebral circulation in humans. The measurement methods can be divided into two categories: direct and indirect methods. Direct methods are mostly based on using contrast agents delivered to blood circulation. Clinically used direct methods include single-photon emission computed tomography (SPECT), positron emission tomography (PET), magnetic resonance imaging (MRI) with contrast agents, xenon computed tomography (CT), and arterial spin labeling (ASL) MRI. Indirect techniques are based on measuring physiological parameters reflecting cerebral perfusion. The most commonly used indirect methods are near-infrared spectroscopy (NIRS), transcranial Doppler ultrasound (TCD), and phase-contrast MRI. In recent years, few more techniques have been intensively developed, such as diffuse correlation spectroscopy (DCS) and microwave-based techniques, which are still emerging as methods for cerebral circulation monitoring. In addition, methods combining different modalities are discussed and, as a summary, the presented techniques and their benefits for cerebral circulation will be compared.",book:{id:"11371",title:"Cerebral Circulation - Updates on Models, Diagnostics and Treatments of Related Diseases",coverURL:"https://cdn.intechopen.com/books/images_new/11371.jpg"},signatures:"Sadegh Moradi, Hany Ferdinando, Aleksandra Zienkiewicz, Mariella Särestöniemi and Teemu Myllylä"}],onlineFirstChaptersTotal:14},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:288,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:10,numberOfPublishedChapters:103,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:11,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"6",title:"Infectious Diseases",doi:"10.5772/intechopen.71852",issn:"2631-6188",scope:"This series will provide a comprehensive overview of recent research trends in various Infectious Diseases (as per the most recent Baltimore classification). Topics will include general overviews of infections, immunopathology, diagnosis, treatment, epidemiology, etiology, and current clinical recommendations for managing infectious diseases. 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He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null},editorTwo:null,editorThree:null},subseries:{paginationCount:5,paginationItems:[{id:"19",title:"Animal Science",coverUrl:"https://cdn.intechopen.com/series_topics/covers/19.jpg",editor:{id:"259298",title:"Dr.",name:"Edward",middleName:null,surname:"Narayan",slug:"edward-narayan",fullName:"Edward Narayan",profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",biography:"Dr. Edward Narayan graduated with Ph.D. degree in Biology from the University of the South Pacific and pioneered non-invasive reproductive and stress endocrinology tools for amphibians - the novel development and validation of non-invasive enzyme immunoassays for the evaluation of reproductive hormonal cycle and stress hormone responses to environmental stressors. \nDr. Narayan leads the Stress Lab (Comparative Physiology and Endocrinology) at the University of Queensland. A dynamic career research platform which is based on the thematic areas of comparative vertebrate physiology, stress endocrinology, reproductive endocrinology, animal health and welfare, and conservation biology. \nEdward has supervised 40 research students and published over 60 peer reviewed research.",institutionString:null,institution:{name:"University of Queensland",institutionURL:null,country:{name:"Australia"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"258334",title:"Dr.",name:"Carlos Eduardo",middleName:null,surname:"Fonseca-Alves",slug:"carlos-eduardo-fonseca-alves",fullName:"Carlos Eduardo Fonseca-Alves",profilePictureURL:"https://mts.intechopen.com/storage/users/258334/images/system/258334.jpg",institutionString:null,institution:{name:"Universidade Paulista",institutionURL:null,country:{name:"Brazil"}}},{id:"191123",title:"Dr.",name:"Juan José",middleName:null,surname:"Valdez-Alarcón",slug:"juan-jose-valdez-alarcon",fullName:"Juan José Valdez-Alarcón",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSBfcQAG/Profile_Picture_1631354558068",institutionString:"Universidad Michoacana de San Nicolás de Hidalgo",institution:{name:"Universidad Michoacana de San Nicolás de Hidalgo",institutionURL:null,country:{name:"Mexico"}}},{id:"161556",title:"Dr.",name:"Maria Dos Anjos",middleName:null,surname:"Pires",slug:"maria-dos-anjos-pires",fullName:"Maria Dos Anjos Pires",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bS8q2QAC/Profile_Picture_1633432838418",institutionString:null,institution:{name:"University of Trás-os-Montes and Alto Douro",institutionURL:null,country:{name:"Portugal"}}},{id:"209839",title:"Dr.",name:"Marina",middleName:null,surname:"Spinu",slug:"marina-spinu",fullName:"Marina Spinu",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRLXpQAO/Profile_Picture_1630044895475",institutionString:null,institution:{name:"University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca",institutionURL:null,country:{name:"Romania"}}},{id:"92185",title:"Dr.",name:"Sara",middleName:null,surname:"Savic",slug:"sara-savic",fullName:"Sara Savic",profilePictureURL:"https://mts.intechopen.com/storage/users/92185/images/system/92185.jfif",institutionString:'Scientific Veterinary Institute "Novi Sad"',institution:{name:'Scientific Veterinary Institute "Novi Sad"',institutionURL:null,country:{name:"Serbia"}}}]},{id:"20",title:"Animal Nutrition",coverUrl:"https://cdn.intechopen.com/series_topics/covers/20.jpg",editor:{id:"175967",title:"Dr.",name:"Manuel",middleName:null,surname:"Gonzalez Ronquillo",slug:"manuel-gonzalez-ronquillo",fullName:"Manuel Gonzalez Ronquillo",profilePictureURL:"https://mts.intechopen.com/storage/users/175967/images/system/175967.png",biography:"Dr. Manuel González Ronquillo obtained his doctorate degree from the University of Zaragoza, Spain, in 2001. He is a research professor at the Faculty of Veterinary Medicine and Animal Husbandry, Autonomous University of the State of Mexico. He is also a level-2 researcher. He received a Fulbright-Garcia Robles fellowship for a postdoctoral stay at the US Dairy Forage Research Center, Madison, Wisconsin, USA in 2008–2009. He received grants from Alianza del Pacifico for a stay at the University of Magallanes, Chile, in 2014, and from Consejo Nacional de Ciencia y Tecnología (CONACyT) to work in the Food and Agriculture Organization’s Animal Production and Health Division (AGA), Rome, Italy, in 2014–2015. He has collaborated with researchers from different countries and published ninety-eight journal articles. He teaches various degree courses in zootechnics, sheep production, and agricultural sciences and natural resources.\n\nDr. Ronquillo’s research focuses on the evaluation of sustainable animal diets (StAnD), using native resources of the region, decreasing carbon footprint, and applying meta-analysis and mathematical models for a better understanding of animal production.",institutionString:null,institution:{name:"Universidad Autónoma del Estado de México",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"175762",title:"Dr.",name:"Alfredo J.",middleName:null,surname:"Escribano",slug:"alfredo-j.-escribano",fullName:"Alfredo J. 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She is the head of the Reproduction and Embryology Laboratories and was lecturer of Reproduction and Reproductive Biotechnologies at Veterinary Medicine Faculty. She has over 25 years of experience working in reproductive biology and biotechnology areas with a special emphasis on embryo and gamete cryopreservation, for research and animal genetic resources conservation, leading research projects with several peer-reviewed papers. Rosa Pereira is member of the ERFP-FAO Ex situ Working Group and of the Management Commission of the Portuguese Animal Germplasm Bank.",institutionString:"The National Institute for Agricultural and Veterinary Research. Portugal",institution:null},editorTwo:null,editorThree:null,editorialBoard:[{id:"90066",title:"Dr.",name:"Alexandre",middleName:"Rodrigues",surname:"Silva",slug:"alexandre-silva",fullName:"Alexandre Silva",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRt8pQAC/Profile_Picture_1622531020756",institutionString:null,institution:{name:"Universidade Federal Rural do Semi-Árido",institutionURL:null,country:{name:"Brazil"}}},{id:"176987",title:"Ph.D.",name:"María-José",middleName:"Carrascosa",surname:"Argente",slug:"maria-jose-argente",fullName:"María-José Argente",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bS9vOQAS/Profile_Picture_1630330499537",institutionString:null,institution:{name:"Miguel Hernandez University",institutionURL:null,country:{name:"Spain"}}},{id:"321396",title:"Prof.",name:"Muhammad Subhan",middleName:null,surname:"Qureshi",slug:"muhammad-subhan-qureshi",fullName:"Muhammad Subhan Qureshi",profilePictureURL:"https://mts.intechopen.com/storage/users/321396/images/system/321396.jpg",institutionString:null,institution:{name:"University of Agriculture",institutionURL:null,country:{name:"Pakistan"}}},{id:"183723",title:"Dr.",name:"Xiaojun",middleName:null,surname:"Liu",slug:"xiaojun-liu",fullName:"Xiaojun Liu",profilePictureURL:"https://mts.intechopen.com/storage/users/183723/images/system/183723.jpg",institutionString:null,institution:null}]}]},overviewPageOFChapters:{paginationCount:1,paginationItems:[{id:"81831",title:"Deep Network Model and Regression Analysis using OLS Method for Predicting Lung Vital Capacity",doi:"10.5772/intechopen.104737",signatures:"Harun Sümbül",slug:"deep-network-model-and-regression-analysis-using-ols-method-for-predicting-lung-vital-capacity",totalDownloads:3,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Decision Science - Recent Advances and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/11604.jpg",subseries:{id:"86",title:"Business and Management"}}}]},overviewPagePublishedBooks:{paginationCount:1,paginationItems:[{type:"book",id:"11392",title:"Leadership in a Changing World",subtitle:"A Multidimensional Perspective",coverURL:"https://cdn.intechopen.com/books/images_new/11392.jpg",slug:"leadership-in-a-changing-world-a-multidimensional-perspective",publishedDate:"May 11th 2022",editedByType:"Edited by",bookSignature:"Muhammad Mohiuddin, Bilal Khalid, Md. 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He has published research in Research Policy, Applied Economics, Review of Economic Philosophy, Strategic Change, International Journal of Logistics, Sustainability, Journal of Environmental Management, Journal of Global Information Management, Journal of Cleaner Production, M@N@GEMENT, and more. He is a member of CEDIMES Institut (France), Academy of International Business (AIB), Strategic Management Society (SMS), Academy of Management (AOM), Administrative Science Association of Canada (ASAC), and Canadian council of small business and entrepreneurship (CCSBE). He is currently the director of the Research Group on Contemporary Asia (GERAC) at Laval University. He is also co-managing editor of Transnational Corporations Review and a guest editor for Electronic Commerce Research and Journal of Internet Technology.",institutionString:"Université Laval",institution:{name:"Université Laval",institutionURL:null,country:{name:"Canada"}}}]}]},openForSubmissionBooks:{paginationCount:1,paginationItems:[{id:"11601",title:"Econometrics - Recent Advances and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/11601.jpg",hash:"bc8ab49e2cf436c217a49ca8c12a22eb",secondStepPassed:!0,currentStepOfPublishingProcess:3,submissionDeadline:"May 13th 2022",isOpenForSubmission:!0,editors:[{id:"452331",title:"Dr.",name:"Brian",surname:"Sloboda",slug:"brian-sloboda",fullName:"Brian Sloboda"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},onlineFirstChapters:{paginationCount:4,paginationItems:[{id:"81821",title:"Pneumococcal Carriage in Jordanian Children and the Importance of 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MS, Ph.D., is currently with the Department of Research and Evaluation, Kaiser Permanente Southern California. He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. 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He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. His research interests include Activity Fusion & Reasoning, Machine Learning, Context-aware Middleware, Human-Computer Interaction, etc.",institutionString:null,institution:{name:"Daegu Gyeongbuk Institute of Science and Technology",country:{name:"Korea, South"}}},{id:"262719",title:"Dr.",name:"Esma",middleName:null,surname:"Ergüner Özkoç",slug:"esma-erguner-ozkoc",fullName:"Esma Ergüner Özkoç",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Başkent University",country:{name:"Turkey"}}},{id:"346530",title:"Dr.",name:"Ibrahim",middleName:null,surname:"Kaya",slug:"ibrahim-kaya",fullName:"Ibrahim Kaya",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"419199",title:"Dr.",name:"Qun",middleName:null,surname:"Yang",slug:"qun-yang",fullName:"Qun Yang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Auckland",country:{name:"New Zealand"}}},{id:"351158",title:"Prof.",name:"David W.",middleName:null,surname:"Anderson",slug:"david-w.-anderson",fullName:"David W. 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Her research interests include archaea metabolism, enzymes purification and characterization, gene regulation, carotenoids and bioplastics production, antioxidant\ncompounds, waste water treatments, and brines bioremediation.\nRosa María’s other roles include editorial board member for several journals related\nto biochemistry, reviewer for more than 60 journals (biochemistry, molecular biology, biotechnology, chemistry and microbiology) and president of several organizing committees in international meetings related to the N-cycle or respiratory processes.",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,series:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983"},editorialBoard:[{id:"79367",title:"Dr.",name:"Ana Isabel",middleName:null,surname:"Flores",slug:"ana-isabel-flores",fullName:"Ana Isabel Flores",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRpIOQA0/Profile_Picture_1632418099564",institutionString:null,institution:{name:"Hospital Universitario 12 De Octubre",institutionURL:null,country:{name:"Spain"}}},{id:"328234",title:"Ph.D.",name:"Christian",middleName:null,surname:"Palavecino",slug:"christian-palavecino",fullName:"Christian Palavecino",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000030DhEhQAK/Profile_Picture_1628835318625",institutionString:null,institution:{name:"Central University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"186585",title:"Dr.",name:"Francisco Javier",middleName:null,surname:"Martin-Romero",slug:"francisco-javier-martin-romero",fullName:"Francisco Javier Martin-Romero",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSB3HQAW/Profile_Picture_1631258137641",institutionString:null,institution:{name:"University of Extremadura",institutionURL:null,country:{name:"Spain"}}}]},onlineFirstChapters:{paginationCount:17,paginationItems:[{id:"81647",title:"Diabetes and Epigenetics",doi:"10.5772/intechopen.104653",signatures:"Rasha A. 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