Major and trace elements contents in SPM (in μg g−1, except for Al, Fe, Ti, Mn, Ca and POC in % of dry weight).
\\n\\n
IntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\\n\\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\\n\\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\\n\\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\\n\\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\\n\\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\\n\\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\\n\\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\\n\\nFeel free to share this news on social media and help us mark this memorable moment!
\\n\\n\\n"}]',published:!0,mainMedia:{caption:"",originalUrl:"/media/original/237"}},components:[{type:"htmlEditorComponent",content:'
After years of being acknowledged as the world's leading publisher of Open Access books, today, we are proud to announce we’ve successfully launched a portfolio of Open Science journals covering rapidly expanding areas of interdisciplinary research.
\n\n\n\nIntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\n\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\n\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\n\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\n\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\n\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\n\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\n\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\n\nFeel free to share this news on social media and help us mark this memorable moment!
\n\n\n'}],latestNews:[{slug:"intechopen-supports-asapbio-s-new-initiative-publish-your-reviews-20220729",title:"IntechOpen Supports ASAPbio’s New Initiative Publish Your Reviews"},{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"}]},book:{item:{type:"book",id:"10585",leadTitle:null,fullTitle:"Interleukins - The Immune and Non-Immune Systems’ Related Cytokines",title:"Interleukins",subtitle:"The Immune and Non-Immune Systems’ Related Cytokines",reviewType:"peer-reviewed",abstract:"The immune system recruits a wide range of molecule groups and categories, each of which has its own function, property, and structure. Among these, interleukins play a pivotal role in supporting the immune and non-immune systems of the human body. Interleukins as effective cytokines participate in different conditions such as homeostasis, infectious diseases, autoimmune diseases, and cancers. This unique property of interleukins makes them invaluable biomarkers that can be used as important biosensors. This book is divided into three sections: “Interleukins’ Classification and Evolutionary Features”, “Autoimmune Diseases and Low Immune System”, and “Cancer and Injuries”. Chapters examine the role of various interleukins in conditions such as leukemia, rheumatoid arthritis, and allergic and autoimmune diseases.",isbn:"978-1-83969-099-0",printIsbn:"978-1-83969-098-3",pdfIsbn:"978-1-83969-100-3",doi:"10.5772/intechopen.92961",price:119,priceEur:129,priceUsd:155,slug:"interleukins-the-immune-and-non-immune-systems-related-cytokines",numberOfPages:144,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"6d4ebb087fdb199287bc765704246b60",bookSignature:"Payam Behzadi",publishedDate:"July 14th 2021",coverURL:"https://cdn.intechopen.com/books/images_new/10585.jpg",numberOfDownloads:1858,numberOfWosCitations:1,numberOfCrossrefCitations:1,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:3,numberOfDimensionsCitationsByBook:0,hasAltmetrics:1,numberOfTotalCitations:5,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"October 14th 2020",dateEndSecondStepPublish:"November 23rd 2020",dateEndThirdStepPublish:"January 22nd 2021",dateEndFourthStepPublish:"April 12th 2021",dateEndFifthStepPublish:"June 11th 2021",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"45803",title:"Ph.D.",name:"Payam",middleName:null,surname:"Behzadi",slug:"payam-behzadi",fullName:"Payam Behzadi",profilePictureURL:"https://mts.intechopen.com/storage/users/45803/images/system/45803.jpg",biography:"Dr. Payam Behzadi was born in Tehran, Iran, in 1973. He began his collaboration with the Department of Microbiology, College of Basic Sciences, Shahr-e-Qods Branch, Islamic Azad University as a faculty member in 2004. He has a BSc and MSc in Microbiology and a Ph.D. in Molecular Biology and now continues his scientific activities in the position of assistant professor at Islamic Azad University. He has authored and edited more than twenty chapters and academic books and more than seventy original and review articles. His scientific research interests include urinary tract infections, antibiotics, bioinformatics, genetics, gene profiling, molecular biology, and cellular and molecular immunology. Dr. Behzadi trains as an ice skater in his free time.",institutionString:"Islamic Azad University, Tehran",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"6",totalChapterViews:"0",totalEditedBooks:"6",institution:{name:"Islamic Azad University, Tehran",institutionURL:null,country:{name:"Iran"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"184",title:"Immunology, Allergology and Rheumatology",slug:"immunology-allergology-and-rheumatology"}],chapters:[{id:"77266",title:"A World of Wonders: Interleukin-1 (IL-1) and IL-2 Families",doi:"10.5772/intechopen.98664",slug:"a-world-of-wonders-interleukin-1-il-1-and-il-2-families",totalDownloads:249,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:1,abstract:"Human interleukins (ILs) are a collection of different biological molecules belonging to the group of cytokines, associated with various immune and non-immune systems and different signaling pathways. ILs contribute to the function of different tissues, organs and systems in the human body. They are involved in homeostasis, infectious diseases, autoimmune diseases, cancers and even therapeutics. Due to this knowledge, this chapter aims to summarize the importance of the IL-1 and IL-2 superfamilies.",signatures:"Márió Gajdács, Herney Andrés García-Perdomo, Meysam Sarshar, Daniela Scribano, Cecilia Ambrosi and Payam Behzadi",downloadPdfUrl:"/chapter/pdf-download/77266",previewPdfUrl:"/chapter/pdf-preview/77266",authors:[{id:"45803",title:"Ph.D.",name:"Payam",surname:"Behzadi",slug:"payam-behzadi",fullName:"Payam Behzadi"},{id:"325481",title:"Dr.",name:"Márió",surname:"Gajdács",slug:"mario-gajdacs",fullName:"Márió Gajdács"},{id:"416282",title:"Prof.",name:"Herney Andrés",surname:"García-Perdomo",slug:"herney-andres-garcia-perdomo",fullName:"Herney Andrés García-Perdomo"},{id:"416283",title:"Dr.",name:"Meysam",surname:"Sarshar",slug:"meysam-sarshar",fullName:"Meysam Sarshar"},{id:"416284",title:"Dr.",name:"Daniela",surname:"Scribano",slug:"daniela-scribano",fullName:"Daniela Scribano"},{id:"416285",title:"Dr.",name:"Cecilia",surname:"Ambrosi",slug:"cecilia-ambrosi",fullName:"Cecilia Ambrosi"}],corrections:null},{id:"75756",title:"Evolutionary Conservation of the Role of CD4 as a Receptor for Interleukin-16",doi:"10.5772/intechopen.96951",slug:"evolutionary-conservation-of-the-role-of-cd4-as-a-receptor-for-interleukin-16",totalDownloads:270,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The interaction of CD4 with MHC class II during helper T-cell activation and effector function is required for the initiation of an adaptive immune response in all gnathostomes. CD4 is comprised of four immunoglobulin domains but most likely arose from an ancestral two-domain homolog. The distal, D1 domain of CD4 binds to non-polymorphic regions of the MHC molecule, but despite the absolute requirement for this interaction, the sequence and structure of this domain are not well conserved through phylogeny. Conversely, the proximal, D4 domain of CD4 contains the binding site of the cytokine IL-16 and is highly conserved in its amino acid structure. IL-16 is a cytokine that has been described in a wide variety of invertebrate and vertebrate species. The CD4-binding residues on IL-16 are highly conserved throughout phylogeny, allowing for promiscuous binding of IL-16 to CD4 between members of unrelated taxa. This chapter aims to present structural, and functional support for the hypothesis that the CD4 co-receptor of the TCR arose from a primordial receptor for IL-16.",signatures:"Gregory D. Maniero",downloadPdfUrl:"/chapter/pdf-download/75756",previewPdfUrl:"/chapter/pdf-preview/75756",authors:[{id:"337595",title:"Associate Prof.",name:"Gregory D.",surname:"Maniero",slug:"gregory-d.-maniero",fullName:"Gregory D. Maniero"}],corrections:null},{id:"76562",title:"Interleukin 6 in Patients with Rheumatoid Arthritis",doi:"10.5772/intechopen.96887",slug:"interleukin-6-in-patients-with-rheumatoid-arthritis",totalDownloads:249,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Rheumatoid Arthritis is a widespread disease causing varying degrees of disability. It is characterised by flares and remissions and since ancient times, every culture has tried to get the better of it. Even now, research is aimed at finding novel serum biomarkers as surrogates for disease activity and newer targets to sharpen therapy. One such target is IL-6.It mediates neutrophil migration, osteoclast maturation and pannus formation through vascular endothelial growth factor (VEGF) stimulation causing synovitis and joint destruction.IL-6 leads to various systemic manifestations like hepcidin production causing anemia hypothalamo-pituitary–adrenal (HPA) axis activation causing fatigue and mood changes and osteoclast activation causes osteoporosis while increase in acute phase reactants (ESR and CRP). The literature we reviewed and our research, enrolling 40 patients of RA as well describes the role of IL-6 in pathogenesis and various manifestations of RA including articular, extra-articular and other comorbid states. It supports that Serum IL-6 levels correlate with disease activity (DAS-28ESR and BRAF-MDQ) and that IL-6 remains a viable target for drug therapy.",signatures:"Yogita Sharma, Neeraj Kumar and Devyani Thakur",downloadPdfUrl:"/chapter/pdf-download/76562",previewPdfUrl:"/chapter/pdf-preview/76562",authors:[{id:"338470",title:"Dr.",name:"Yogita",surname:"Sharma",slug:"yogita-sharma",fullName:"Yogita Sharma"},{id:"345769",title:"Dr.",name:"Neeraj",surname:"Kumar",slug:"neeraj-kumar",fullName:"Neeraj Kumar"},{id:"345770",title:"Dr.",name:"Devyani",surname:"Thakur",slug:"devyani-thakur",fullName:"Devyani Thakur"}],corrections:null},{id:"75770",title:"Therapeutic Potential of IL-9 in Allergic and Autoimmune Diseases",doi:"10.5772/intechopen.96266",slug:"therapeutic-potential-of-il-9-in-allergic-and-autoimmune-diseases",totalDownloads:297,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Interleukin-9 (IL-9) is a pleiotropic cytokine produced by several immune and epithelial cells. Recently, many studies have eluded the physiological and pathological roles of IL-9 and its lineage-specific helper T cell subset (Th9). In this chapter, we will focus on the immunological role of Interleukin 9 (IL-9) in allergy and autoimmunity. We will introduce the basics of IL-9 and describe the cells involved in the secretion, signaling, and regulation of IL-9. After establishing the background, we will discuss the pathogenesis and regulation of IL-9 in allergic and autoimmune diseases. We will conclude the chapter by providing an updated therapeutics that target IL-9 and their potential uses in autoimmune and allergic diseases.",signatures:"Ahmed Ummey Khalecha Bintha, Amani Souwelimatou Amadou, Mursalin Md Huzzatul and Muhammad Fauziyya",downloadPdfUrl:"/chapter/pdf-download/75770",previewPdfUrl:"/chapter/pdf-preview/75770",authors:[{id:"255973",title:"Mr.",name:"Md Huzzatul",surname:"Mursalin",slug:"md-huzzatul-mursalin",fullName:"Md Huzzatul Mursalin"},{id:"278742",title:"Dr.",name:"Fauziyya",surname:"Muhammad",slug:"fauziyya-muhammad",fullName:"Fauziyya Muhammad"},{id:"346315",title:"Ph.D. Student",name:"Ummey Khalecha Bintha",surname:"Ahmed",slug:"ummey-khalecha-bintha-ahmed",fullName:"Ummey Khalecha Bintha Ahmed"},{id:"346316",title:"MSc.",name:"Souwelimatou",surname:"Amani",slug:"souwelimatou-amani",fullName:"Souwelimatou Amani"}],corrections:null},{id:"75823",title:"From Pregnancy Loss to COVID 19 Cytokine Storm: A Matter of Inflammation and Coagulation",doi:"10.5772/intechopen.96884",slug:"from-pregnancy-loss-to-covid-19-cytokine-storm-a-matter-of-inflammation-and-coagulation",totalDownloads:266,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:1,abstract:"Large scientific evidence achieved during the second half of the past century points to a leading role of inflammation in the pathogenic mechanism of the main pregnancy complications, such as abortion, pregnancy loss, premature delivery, infection, fetal encephalopathy, enterocolitis, pulmonary hyaline membrane diseases and death. Thinking about pregnancy inflammation, one must refer today to the umbalance of the normal mediators of organic functions: cytokins, peptides, nucleosides, prostanoids. Indeed, according to the order and quantity of their release, they are involved either in physiology or in pathology of pregnancy. At this regard, it has been shown that Th1-type immunity is incompatible with successful pregnancy. Regulation of the mediators of maternal functions is largely under fetal genetic control. Assessment of the fetal role derives from studies showing an umbalance of cytokines and plasminogen activator system, an increase of endothelin, a downregulation of adenosine receptors, in the fetal compartment, in aneuploid pregnancies. The resulting functional deviations deal with inflammation, imfection, coagulation, impaired utero-placental perfusion, possibly leading to fetal demise and ominus maternal complications. SARS-COV-2 infection, on the other hand, is characterized by a similar umbalance of the inflammatory mediators, leading to hyperactivation of a type-1 lymphobyte T-helper response, which ends in a possibly fatal cytokine storm syndrome. While SARS-COV-2 infection recognizes a viral etiology, the cause of pregnancy inflammation must be recognized in the inability of the fetus to control the maternal immune response. Therefore, the preventive measures are quite different, although both benefit of a similar anti-inflammatory, antibiotic and anti-coagulant therapy.",signatures:"Fortunato Vesce",downloadPdfUrl:"/chapter/pdf-download/75823",previewPdfUrl:"/chapter/pdf-preview/75823",authors:[{id:"145260",title:"Prof.",name:"Fortunato",surname:"Vesce",slug:"fortunato-vesce",fullName:"Fortunato Vesce"}],corrections:null},{id:"75575",title:"IL-17 Biological Effects and Signaling Mechanisms in Human Leukemia U937 Cells",doi:"10.5772/intechopen.96422",slug:"il-17-biological-effects-and-signaling-mechanisms-in-human-leukemia-u937-cells",totalDownloads:250,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Human Interlekin-17 is produced by memory activated CD4+ T cells and other cells. It was initially considered unique in that its specific receptor is distinct from other cytokine receptors. IL-17 receptor is ubiquitously expressed by different cells including T cells. IL-17 plays a role in regulating growth, immune response and pro-inflammatory responses. It regulates differentiation of a subset of Th0 cells into Th-17 cells, which produce IL-17-induced cytokines. The IL-17R belongs to type 1 cytokine receptors. IL-17 belongs to a superfamily of its own, which includes IL-17A, IL-17B, IL-17C, IL-17E and IL-17F. These members of IL-17 superfamily have some sequence homology but bind to different receptors. Prior to this investigation, limited information existed on the effects of IL-17A in human leukemia cell lines. Our results show that IL-17A promotes growth, anti-apoptotic effects, chemotaxis, cytokine expression and transcriptional factor activation in leukemia cells. IL-17A activates multiple signaling pathways including PI-3 K, Jak–STAT, Raf-ERK1/2 and SRC kinase pathways, which mediate different biological effects of IL-17A in leukemia cells. Our findings implicate IL-17A in leukemia cell growth and survival, supporting potential leukemia therapy via development of anti-IL-17A drugs. This chapter focuses on IL-17A, herein referred to as IL-17.",signatures:"Samuel Evans Adunyah, Richard Akomeah, Fareed K.N. Arthur, Roland S. Cooper and Joshua C.M. Williams",downloadPdfUrl:"/chapter/pdf-download/75575",previewPdfUrl:"/chapter/pdf-preview/75575",authors:[{id:"298401",title:"Prof.",name:"Samuel Evans",surname:"Adunyah",slug:"samuel-evans-adunyah",fullName:"Samuel Evans Adunyah"},{id:"346299",title:"Dr.",name:"Richard",surname:"Akomeah",slug:"richard-akomeah",fullName:"Richard Akomeah"},{id:"346335",title:"Prof.",name:"Fareed K.N.",surname:"Arthur",slug:"fareed-k.n.-arthur",fullName:"Fareed K.N. Arthur"},{id:"346336",title:"Dr.",name:"Roland S.",surname:"Cooper",slug:"roland-s.-cooper",fullName:"Roland S. Cooper"},{id:"346337",title:"Dr.",name:"Joshua C. M.",surname:"Williams",slug:"joshua-c.-m.-williams",fullName:"Joshua C. M. Williams"}],corrections:null},{id:"75585",title:"The Role of Interleukins after Spinal Cord Injury",doi:"10.5772/intechopen.96293",slug:"the-role-of-interleukins-after-spinal-cord-injury",totalDownloads:277,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"In skin wound healing the injured tissue goes through a normal progression, inflammation subsides and remodeling occurs. However after spinal cord injury inflammation persists and there is less progression into a regenerative/rebuilding phase. This inflammatory process after spinal cord injury is orchestrated by many cell types and numerous cytokines. Although there are several positive effects of inflammation after spinal cord injury, such as the removal of debris, the substantial upregulation of immune cells has been shown to contribute to neural degeneration. Several chemokines and cytokines including many interleukins are involved in guiding these immune cells to the lesion. While there are many inflammatory cytokines acting on these immune cells after SCI, there are also several anti-inflammatory interleukins that have shown beneficial effects in reducing inflammation. After SCI in a rat model, interleukin-10 and interleukin-19 have been shown to downregulate the synthesis of pro-inflammatory species including interleukin-1β and tumor necrosis factor-α, which resulted in a significant improvement in rat hind limb function. Also, interleukin-4 and interleukin-13 are related anti-inflammatory cytokines that regulate many aspects of inflammation and have also been shown to induce alternative macrophage activation. The differing and complex roles interleukins play, highlight their importance on the inflammation that persists after spinal cord injury. Here we review both the positive effects and negative effects that interleukins have during the multifaceted inflammation process following spinal cord injury.",signatures:"Daniel J. Hellenbrand, Rylie M. Roddick, Sophia M. Mauney, Ryan T. Elder, Carolyn N. Morehouse and Amgad S. Hanna",downloadPdfUrl:"/chapter/pdf-download/75585",previewPdfUrl:"/chapter/pdf-preview/75585",authors:[{id:"338503",title:"M.Sc.",name:"Daniel J.",surname:"Hellenbrand",slug:"daniel-j.-hellenbrand",fullName:"Daniel J. Hellenbrand"},{id:"345800",title:"Ms.",name:"Carolyn N.",surname:"Morehouse",slug:"carolyn-n.-morehouse",fullName:"Carolyn N. Morehouse"},{id:"345802",title:"Ms.",name:"Rylie M.",surname:"Roddik",slug:"rylie-m.-roddik",fullName:"Rylie M. Roddik"},{id:"345805",title:"Ms.",name:"Sophia M.",surname:"Mauney",slug:"sophia-m.-mauney",fullName:"Sophia M. Mauney"},{id:"345806",title:"Mr.",name:"Ryan T.",surname:"Elder",slug:"ryan-t.-elder",fullName:"Ryan T. 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\r\n\tThe book focuses on a synthesis of the fundamental disciplines and practical applications involved in the design, investigation, description, and analysis of aircraft flight including applied aerodynamics, aircraft propulsion, flight performance, stability and control, flight safety and flight performance. The book covers the aerodynamic models that describe the forces and moments on maneuvering aircraft, and provides an overview of the concepts and methods used in flight dynamics and control. A particular focus of the book is development of theoretical, computational and experimental methods in aerodynamics and related disciplines. Computational methods are widely used by the practicing aerodynamicist, and the book covers computational fluid dynamics (CFD) and finite element analysis (FEA) techniques used to improve understanding of the physical models that underlie computational methods.
\r\n\r\n\tThe book offers a deep view of flows in wings, airfoils, nozzles, boundary layers and wakes, and on the subject of wind tunnel measurements, flight control and stability.
",isbn:null,printIsbn:"979-953-307-X-X",pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"058ba9c67967ce29bd7521e9710e7e97",bookSignature:"Dr. Konstantin Volkov",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/9891.jpg",keywords:"Flow Control, Dynamics Simulation, Airfoil, Flight Forces, Flight Speed, Flight Control, Engine, Turbine, Stability, Control, Aeroelastic Problem, CFD",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"November 25th 2019",dateEndSecondStepPublish:"March 16th 2020",dateEndThirdStepPublish:"May 15th 2020",dateEndFourthStepPublish:"August 3rd 2020",dateEndFifthStepPublish:"October 2nd 2020",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 years",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:5,editedByType:null,kuFlag:!1,biosketch:null,coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"118184",title:"Dr.",name:"Konstantin",middleName:null,surname:"Volkov",slug:"konstantin-volkov",fullName:"Konstantin Volkov",profilePictureURL:"https://mts.intechopen.com/storage/users/118184/images/system/118184.jpeg",biography:"Dr. Volkov is a senior lecturer in Thermofluids at Kingston University (London, UK). He holds a Ph.D. in fluid mechanics. After completing his Ph.D., Dr. Volkov worked at the Baltic State Technical University (Russia), University of Central Lancashire (UK), University of Surrey (UK). His areas of expertise cover multidisciplinary areas: from design and optimization of energy systems to fundamental problems focused on modeling and simulation of turbulent multiphase flows. He is a Chartered Engineer and member of the Institute of Physics, Institution of Mechanical Engineers, and Combustion Institute in the UK. 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Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"60989",title:"Trace Elements in Suspended Particulate Matter and Sediments of the Cai River: Nha Trang Bay Estuarine System (South China Sea)",doi:"10.5772/intechopen.76471",slug:"trace-elements-in-suspended-particulate-matter-and-sediments-of-the-cai-river-nha-trang-bay-estuarin",body:'\nSoutheast Asia has experienced a rapid and colossal economic growth with Vietnam being one of the fastest growing countries. Most development activities (e.g., industry, agriculture, human settlement, tourism, and transport) take place in coastal zones [1–4]. This hazard is increased by the high vulnerability of these areas to environmental changes. The Cai River and the Nha Trang Bay of the South China Sea are inhabited by unique biota. This region is now exposed to the multiple anthropogenic stressors such as human settlement, agriculture and aquaculture, tourism and transport [5].
\nOver the past two decades, comprehensive studies of the organic geochemistry patterns and contamination levels and trends in the Nha Trang Bay have been undertaken [6–14]. The most recent research of the abundance, distribution and speciation of the major and trace elements in the sediments allowed to track the fate of potential contaminants in the Cai River—Nha Trang Bay estuarine system along the salinity gradient [5, 15]. It was shown that most trace element contents were at natural levels and are derived from the composition of rocks and soils in the watershed. A severe enrichment of Ag was most likely derived from metal-rich detrital heavy minerals. Geochemical fractionation of the riverine material generally determined the metal enrichment in surface sediments along the salinity gradient. The parts of actually and potentially bioavailable forms were most elevated for Mn and Pb (up to 36 and 32% of total content, respectively). Overall, the most bioavailable parts of trace elements were associated with easily soluble amorphous Fe and Mn oxyhydroxides.
\nIn estuarine region, suspended particulate matter (SPM) acts as a major carrier as trace elements get adsorbed on to major elements like Fe and Mn oxyhydroxides and organic matter and get precipitated, where coarse material may settle into the estuarine system as sediments and finer materials get transported into the ocean [16–18]. It is important to study major and trace elements, as excess input of these metals may settle into the estuary due to salinity gradient [19–22]. The present study summarises the data on the abundance, distribution, partition, speciation and bioavailability of major and trace elements in the suspended particulate matter (SPM) and surface sediments of the Cai River estuary under multiple stresses.
\nThe Cai River, its estuary and the adjacent part of the Nha Trang Bay belong to the Central Southern Coastal Region of Vietnam (Khanh Hoa Province). The fresh river water (S < 0.1‰) and saline South China Sea water (S ≈ 36‰) form a major water-mixing zone. The fill dam built 8 km upstream from the river mouth limits the water exchange and marks the riverine boundary of the water-mixing zone (Figure 1). The Cai River estuary and Nha Trang Bay can be divided into three sub-zones: (1) river (S < 0.1‰), (2) transitional waters (estuary) (0.1‰ > S > 32‰) and (3) sea (bay) (S > 32‰). In the transitional waters, the salinity (S) increases from the river to the sea and from the surface to the bottom. The water column is highly stratified with the pronounced horizontal and vertical salinity gradients [5]. The climate seasonality and human activities (such as urbanisation, land use, damming, tourism, coastal construction, transportation, aquaculture and fisheries) expose the Nha Trang Bay to multiple pressures [14, 23–26].
\nLocation of study sites.
The water and sediment samples were collected in the Cai River estuary and Nha Trang Bay in July 2013 along the salinity gradient at five locations for surface water layer (sts. 1, 3, 4, 7, 8, Figure 1) and at seven locations for surface sediments (sts. 2–8, Figure 1). The sampling stations were located in the riverine (st. 1), transitional (sts. 2–4) and marine (sts. 5–8) sub-zones of the dry season.
\nThe surface water samples were obtained using a plastic Niskin bottle. The temperature, alkalinity and salinity of the water samples were measured on-board immediately after collection using portable conductivity apparatuses HI 98129 Combo and HI 98302 DIST 2 (Hanna Instruments, Germany). The suspended particulate matter was collected by filtering of water samples in an all-glass filtering system, on pre-weighted filters: 0.45 μm polycarbonate filters (Millipore-Isopore) for total suspended matter (TSM); combusted and pre-weighted glass fibre filters (Whatman GF/F) for particulate organic carbon (POC) and acid-clean cellulose filters (Millipore HA) for geochemical analyses. In the laboratory, all filters were rinsed with 250 ml Milli-Q water to remove salts and dried to constant weight at 60°C.
\nThe surface sediment sampling, transportation and preparation procedures were performed using standard clean techniques that were described elsewhere [5].
\nThe surface sediment samples were subjected to grain size and mineral composition analyses. The grain size analysis was performed by wet sieving [27, 28].
\nThe dissolved organic carbon in water samples was determined by high-temperature (at 680°С) thermocatalitic oxidation with dispersion-free IP detection. The total carbon (TC) contents in suspended particulate matter (SPM) and sediment samples were determined by dry burning at 900°С in oxygen flow and the total inorganic carbon (TIC) contents were determined by dry burning at 200°С with H3PO4. The DOC, TC and TIC analyses were performed with the analyser TOC 5000-V-CPH (Shimudzu Co., Japan). The total organic carbon (TOC) contents were determined as a difference between TC and TIC contents in the samples [10].
\nFor the total Al, Fe, Ti, Ca, Na, Mn, Li, V, Cr, Co, Ni, Cu, Zn, As, Sr., Zr, Mo, Cd, Ag, Sn, Sb, Cs, Ba, Pb, Bi and U content analysis, the samples were subjected to the total acidic dissolution in HNO3 + HF + HClO4 in an open system with further determination of element contents using the ICP method on the Х-7 ICP-MS spectrometer (Thermo Scientific, USA) [29]. The detailed sample decomposition and analytical procedures are described elsewhere [16]. The Hg content was determined in the dry samples using a pyrolyse method on the RA-915+ spectrometer with background correction and a two-chamber atomiser PYRO-915+ (Lumex, Russia) [9, 14].
\nTo assess the chemical form of selected metals (Fe, Mn, Cr, Zn, Cu, Pb, Ni and Co) in the sediments, the samples were subjected to single chemical reagent (single-step) extraction procedures. The weak-acid-soluble (labile) metals were extracted using 25% acetic acid, the oxalate-soluble metals were extracted using ammonium oxalate-oxalic acid buffered solution at pH 3.2 (Tamm extraction), the pyrophosphate-soluble metals were extracted by 0.1 M sodium pyrophosphate. To isolate the weak acid-soluble metals, 15 ml of 25% acetic acid was added to 1.1 g of dry sample in polypropylene vials and shaken in a mechanical shaker for 6 h with acetic acid. Then, each extract with the sediment was filtrated into a 25 ml glass volumetric flask. The sediment on the filter was washed with 10 ml of distilled water and the wash water was added to the flask [27]. To isolate the amorphous iron oxides and their associated microelements, 50 ml of ammonium oxalate-oxalic acid buffered (Tamm) solution was added to 1.1 g of dry sample in the 250 ml flat bottom flask, shaken for 1 h and filtrated to a 250 ml glass volumetric flask. The sediment on the filter was washed with 10 ml of distilled water that was mixed with a small amount of oxalic acid and the wash water was added to the flask. Then, the filter with sediment was added to the sediment in the flat-bottom flask and subjected to one more repeated extraction and the extract was added to the 250 ml volumetric flask [30]. To isolate the organically bound metals, 15 ml of 0.1 M sodium pyrophosphate was added to 1.1 g of dry sample in polypropylene vials and shaken in a mechanical shaker for 15 min, left for 24 h and then filtrated to a 250 ml glass volumetric flask. The sediment on the filter was washed with 10 ml of 0.1 M sodium pyrophosphate and the wash water was added to the flask [31]. The metal contents in the extracts were further determined using an atomic absorption spectrometer (AAS) Hitachi 180–8 (Hitachi Co., Japan) in the Analytical Centre of Moscow State Lomonosov University.
\nThe relative accuracy of the analytical determinations was within the standard deviations that were established by the certified reference materials (CRM) SDO-1 (Russia) (for SiO2, TOC and TIC), SRM 521-84Р (Russia) (for Na2O, Al2O3, Stotal, K2O, CaO, MnO, Fe2O3, Li, V, Cr, Zn, As, Sr., Zr, Mo, Ag, Sn, Ba, Pb), AGV-2 (USA) (for MgO, P2O5, TiO2, Co, Ni, Cu, Sr., Sb, Cs, U) and Mess-3 (Canada) (for Hg).
\nThe hydrology of the riverine sub-zone of the studied part of the Cai River—Nha Trang Bay estuarine system is strongly influenced by the fill dam. The surface fresh water layer flows seaward over the dam, while the upstream penetration of the near-bottom saline water lenses is blocked [5]. In July 2013, the salinity of the surface fresh-water layer varied from 0% to 36‰. The frontal zone of the contact of fresh and saline waters occurred downstream from the fill dam (sts. 2–3, Figure 1), where the horizontal salinity gradient was 3.5‰ per 1 km distance. The temperature (T) of the water column varied in narrow ranges and decreased from the river to the sea from 30 to 29°C in the surface water layer. The pH of the water column increased from neutral in the riverine waters (pH 7) to low-alkaline in the transitional and sea waters (pH 8–9). The dissolved organic carbon (DOC) concentration in the surface water layer varied within the ranges 1.1–2.5 mg l−1 and was distributed uniformly (2.3-2.5 mg l−1) in the frontal zone and transitional waters and exhibited a minimum of 1.1 mg l−1 in the marine part of the transect at salinity >30‰ (Figure 2).
\nSPM, DOC and POC concentrations in surface water layer (in mg l−1).
The suspended particulate matter (SPM) showed a concentration maximum of 50 mg l−1 near the river mouth (sts. 1) at salinity 0‰ and then a decrease seaward to the values of around 1 mg l−1 at salinities 32–36‰, following from the sedimentation of the coarsest fluvial material in the frontal zone of the estuary at the sharp decrease in the river flow velocity enhanced by the dam influence (Figure 2). The distribution pattern of particulate organic carbon (POC) was close to the SPM distribution. The maximal POC concentration (1–1.25 mg l−1) was found in the fluvial part of the estuary (sts. 1–3) at salinities 0–8‰ because of an intensive sedimentation of the organically enriched suspended river material in the frontal zone of the estuary. In the transitional waters, the POC concentration lowers seaward to 0.94 mg l−1at salinities around 20‰ and further to 0.18–0.21 mg l−1 at salinities 32–36‰ (Figure 2). The organic carbon content in the SPM (POC, % of dry SPM weight) varied within the range 2–17%. The higher organic carbon content >10% was found in SPM of the marine waters at the salinity >30‰ (Table 1).
\nStation (S ‰) | \n1 (0‰) | \n3 (8‰) | \n4 (18‰) | \n7 (32‰) | \n8 (36‰) | \n
---|---|---|---|---|---|
Li | \n57.09 | \n60.32 | \n57.37 | \n9.50 | \n8.67 | \n
Al | \n15.11 | \n15.41 | \n14.61 | \n1.30 | \n0.78 | \n
Ca | \n0.31 | \n0.16 | \n0.16 | \n0.83 | \n0.82 | \n
Sc | \n15.85 | \n15.42 | \n16.17 | \n5.65 | \n3.52 | \n
Ti | \n0.18 | \n0.15 | \n0.12 | \n0.03 | \n0.02 | \n
V | \n94.07 | \n109.59 | \n127.60 | \n63.59 | \n17.39 | \n
Cr | \n187.21 | \n57.34 | \n72.09 | \n66.18 | \n91.86 | \n
Mn | \n737.05 | \n410.08 | \n342.46 | \n461.65 | \n479.05 | \n
Fe | \n4.67 | \n4.77 | \n5.31 | \n0.45 | \n0.25 | \n
Co | \n175.41 | \n13.66 | \n12.24 | \n60.91 | \n116.96 | \n
Ni | \n384.24 | \n52.48 | \n61.56 | \n119.56 | \n171.20 | \n
Cu | \n201.66 | \n31.60 | \n34.25 | \n119.16 | \n201.11 | \n
Zn | \n116.07 | \n119.56 | \n103.54 | \n28.00 | \n35.7 | \n
As | \n42.42 | \n34.88 | \n39.85 | \n6.61 | \n89.64 | \n
Sr | \n45.32 | \n46.63 | \n61.39 | \n201.82 | \n201.40 | \n
Zr | \n27.46 | \n22.74 | \n22.62 | \n4.25 | \n2.52 | \n
Mo | \n51.58 | \n9.13 | \n9.45 | \n10.97 | \n13.57 | \n
Ag | \n0.22 | \n0.18 | \n0.22 | \n0.25 | \n0.13 | \n
Sn | \n9.19 | \n8.56 | \n6.57 | \n2.53 | \n1.77 | \n
Sb | \n0.97 | \n0.93 | \n0.94 | \n0.22 | \n0.20 | \n
Cs | \n16.30 | \n15.12 | \n11.80 | \n0.97 | \n0.77 | \n
Ba | \n286.38 | \n205.25 | \n248.46 | \n28.48 | \n157.93 | \n
W | \n12.01 | \n5.63 | \n5.43 | \n1.64 | \n1.06 | \n
Hg | \n0.89 | \n0.49 | \n1.11 | \n2.28 | \n0.91 | \n
Pb | \n65.17 | \n63.05 | \n75.28 | \n44.76 | \n26.88 | \n
Bi | \n9.66 | \n9.84 | \n14.59 | \n1.14 | \n0.42 | \n
U | \n9.08 | \n10.33 | \n8.77 | \n0.49 | \n0.43 | \n
POC | \n3.68 | \n3.85 | \n9.39 | \n7.87 | \n7.29 | \n
Major and trace elements contents in SPM (in μg g−1, except for Al, Fe, Ti, Mn, Ca and POC in % of dry weight).
The distribution of particulate form of Al, Fe, Ti, Li, Zn, Pb, U, Sc, Sn, Bi, Zr, Ba, As, Sr., W, V and Ag followed the distribution of total suspended matter and was characterised by a maximum in the river water and then a sharp decrease seaward of element relative concentration (in μg l−1) with highest horizontal gradients within the salinity interval of 8–20% (Figure 3). The absolute concentration of these elements (in μg g−1of the dry SPM weight) followed the same trend of decreasing seaward but was elevated in the both riverine and transitional waters (0–20‰) (Table 1, Figure 3). The most significant losses of suspended elements occurred in the frontal to transitional zone of the estuary (0–20‰) by an intensive sedimentation of dissolved and suspended river material. The most part of these elements must be supplied to the estuary with the Cai River discharge. In estuaries, the flocculation and coagulation of riverine microcolloids are initiated when the salinity increases. These processes are accompanied by a rapid scavenging of dissolved trace elements from the water column. Further deposition of newly-formed aggregates contributes to the enrichment of sediments in trace elements [32].
\nMajor and trace elements contents in SPM (in μg l−1).
The distribution of particulate form of Co, Cu, Ni, Mo and Cr and, in some lesser extent, Mn, Ba, Sn, Sb and Hg is characterised by the most significant loss in the frontal zone of the estuary where the coarsest river material enriched in detrital minerals is deposited at the sharp decrease of the river flow velocity enhanced by the dam (Table 1, Figure 3). Both relative (in μg l−1) and absolute (in μg g−1 of the dry SPM weight) concentrations of these elements sharply decrease with the highest horizontal gradients at the initial salinity rise (0–8‰). The depletion in these elements in the transitional waters (at salinities 8–32‰) was followed by negligible increase of their relative concentrations and significant increase of absolute concentrations of Co, Cu, Ni, Mo, and Cr at salinities 32–36‰ (Table 1, Figure 3). In the stratified Cai River estuary, the significant part of the particulate trace elements may be carried out seaward with the surface water layer. In the marine part of the estuary, with a homogenisation of the water column, most of the fine-grained material of surface water layer enriched in clay minerals, carbonates and trace metals is deposited [5]. Since SPM in transitional and marine waters were enriched in organic carbon, the particulate organic matter of terrigenous and/or planktonogenous origin most probably contributed to trace element accumulation in SPM in the bay.
\nThe percent of the content of sand- (63 μm–2 mm), silt- (2–63 μm) and clay- (<2 μm) sized material in the studied sediments is shown in Table 2. The sediments near the river mouth were mostly sandy, while the coarsest sediment is from station 4. Downstream, in the transitional sub-zone, the sediment contains less sand and more silt and clay. The most fine-grained sediment, with the highest clay content, is from marine stations 7–8.
\nStations | \nSand (63 μm–2 mm) | \nSilt (2–63 μm) | \nClay (<2 μm) | \nTOC | \nTIC | \n
---|---|---|---|---|---|
2 | \n49.58 | \n23.96 | \n26.46 | \n1.77 | \n0 | \n
3 | \n47.81 | \n28.28 | \n23.91 | \n1.49 | \n0 | \n
4 | \n71.03 | \n19.23 | \n9.74 | \n0.89 | \n0 | \n
5 | \n28.47 | \n47.48 | \n24.05 | \n1.55 | \n0 | \n
6 | \n49.31 | \n37.6 | \n13.09 | \n1.76 | \n0 | \n
7 | \n3.26 | \n42.69 | \n54.05 | \n0.61 | \n2.11 | \n
8 | \n2.37 | \n28.96 | \n68.67 | \n1.02 | \n0.88 | \n
Sand, silt, clay, TOC and TIC contents in sediments (in % of dry weight).
The total contents of Al, Fe, Ca, Mn, Ti, TOC and TIC are reported in Table 3. The mean contents of the major elements are within the range of the Clark contents in shale, pelagic clays and average world riverbed sediments [33–37]. The distribution of Fe and Ti in the river-sea transect is similar to that of Al. The observed distribution of major elements in the sediments illustrates the grain size and mineral fractionation processes. Al, Fe, Ti and Mn (to a lesser extent) increase seaward in the sediments with the clay-sized materials.
\nElement | \nMean | \nSD | \nRange | \nShalea | \nPelagic claya | \nRiver sedb | \n
---|---|---|---|---|---|---|
Al | \n10.8 | \n2.05 | \n7.67–12.23 | \n8.8 | \n8.4 | \n4.3 | \n
Fe | \n3.98 | \n0.64 | \n2.46–4.51 | \n4.72 | \n6.5 | \n2.5 | \n
Ti | \n0.36 | \n0.05 | \n0.25–0.40 | \n0.46 | \n0.46 | \n0.31 | \n
Mn | \n0.04 | \n0.01 | \n0.03–0.06 | \n0.085 | \n0.67 | \n0.05 | \n
Ca | \n1.26 | \n1.93 | \n0.36–6.16 | \n1.6 | \n1.0 | \n1.7 | \n
Li | \n47.9 | \n8.2 | \n34.7–62.7 | \n66 | \n57 | \n20 | \n
V | \n89.3 | \n12.0 | \n61.4–100 | \n130 | \n120 | \n50 | \n
Cr | \n45.8 | \n9.9 | \n27.9–66.7 | \n90 | \n90 | \n50 | \n
Co | \n8.5 | \n1.8 | \n4.9–12.2 | \n19 | \n74 | \n15 | \n
Ni | \n23.2 | \n6.12 | \n14.2–38.1 | \n50 | \n230 | \n25 | \n
Cu | \n18.5 | \n4.12 | \n12.1–26.9 | \n45 | \n250 | \n20 | \n
Zn | \n104.6 | \n16.17 | \n69.8–121 | \n95 | \n170 | \n60 | \n
As | \n22.2 | \n6.3 | \n12.2–30.9 | \n13 | \n20 | \n6 | \n
Sr | \n145 | \n166 | \n61.3–605 | \n170 | \n180 | \n150 | \n
Zr | \n85.2 | \n10.4 | \n61.7–104 | \n160 | \n150 | \n250 | \n
Mo | \n3.0 | \n1.5 | \n0.6–5.1 | \n2.6 | \n27 | \n1.5 | \n
Ag | \n0.1 | \n0.01 | \n0.07–0.1 | \n0.07 | \n0.11 | \n0.1 | \n
Sn | \n5.9 | \n1.3 | \n3.7–7.9 | \n3.0 | \n4.0 | \n4.0 | \n
Sb | \n1.2 | \n0.2 | \n0.9–1.4 | \n1.5 | \n1.0 | \n2.0 | \n
Cs | \n11.1 | \n1.6 | \n7.9–13.1 | \n5.0 | \n6.0 | \n4.0 | \n
Ba | \n274 | \n18 | \n256–323 | \n580 | \n2300 | \n290 | \n
Hg | \n0.03 | \n0.01 | \n0.02–0.05 | \n0.18 | \n0.10 | \n0.05 | \n
Pb | \n54.4 | \n11.0 | \n35.1–61.6 | \n20 | \n80 | \n15 | \n
Bi | \n9.5 | \n9.0 | \n0.9–27.6 | \n0.43 | \n0.53 | \n0.2 | \n
U | \n6.6 | \n1.5 | \n3.9–8.0 | \n2.7 | \n2.6 | \n3 | \n
W | \n10.4 | \n7.2 | \n2.4–24.6 | \n0.3 | \n0.42 | \n0.4 | \n
TOC | \n1.36 | \n0.39 | \n0.61–1.77 | \n— | \n— | \n1.4 | \n
TIC | \n1.49 | \n0.69 | \n<0.01–2.10 | \n— | \n— | \n0.4 | \n
The distribution of the inorganic carbon (TIC) content in the sediments along the river-sea transect is characterised by only two significant values in the marine part (2,1 % at st. 7 and 0.88% at st. 8). Sedimentary organic carbon (TOC) varied within the range of 0.6–1.8% and showed no affinity to the other major or trace elements that were studied. This may be due to the intensive microbial decomposition of particulate organic matter, which occurs in the water column during estuarine sedimentation processes [38, 39]. The post-depositional diagenetic reactions, which are enhanced by resuspension processes at sediment disturbance events (such as tides, storms and upwelling), may also contribute to a destruction of sedimentary organic matter and the formation of organic-poor sediments [40].
\nThe mean content of the major part of the studied trace elements (Li, V, Cr, Co, Ni, Cu, Zn, As, Sr, Zr, Mo, Cd, Sn, Sb, Cs, Ba, Hg and Pb) in the sediments from the Cai River estuary and Nha Trang Bay is lower or corresponds to the reference values for shale, pelagic clays and the average world riverbed sediments (Table 3). The Ag content was negligible or below the detection limit at all locations along the salinity gradient. Thus, natural enrichment of Ag reported in the previous study [19] had a temporary/impact character [33–37]. However, relative sediment enrichment with Bi, W and, at some sites, with Sr. needs special study.
\nTo normalise the obtained geochemical data for the grain-size effects and identify the enrichment zones along the salinity gradient, the metal/Al ratios were calculated [27, 41, 42]. The distribution of metal/Al ratios along the Cai River—Nha Trang Bay transect is provided in Figure 4. The results revealed associations of elements that are characterised by a similar geochemical behaviour in the sediments along the salinity gradient. Sedimentary Fe, Ti, Li, Sc, Co, Cs, Zr, Cr, Zn, Co, Ni, Cu, Pb, Sn, V As, U and Mo varied in relatively narrow ranges. Major part of these elements tended to increase seaward with an elevation at station 7 at heightened carbonate content. The observed distribution of the normalised trace element contents reflects the association with and/or inclusion of Fe, Ti, Li and trace elements in the lattices of clay minerals that constitute the bulk of the fine-grained sedimentary material accumulated in the sea floor depression in the bay [42]. Sedimentary Bi and W decreased significantly from river to the sea. These elements may be associated with the coarsest river material enriched in detrital minerals which is mostly deposited in the riverine part of the estuary. The distribution of Sr. and Ca and, in a lesser extent, of Mn and Ba is largely controlled by the total inorganic carbon (TIC) content in the sediments. These elements form low-soluble carbonates in aquatic environments [36]. The distribution of trace elements in sediments is strongly influenced by the water column stratification because of the natural fractionation and deposition of materials of different grain sizes at sites, which are determined by hydrodynamic conditions [5, 13, 43, 44].
\nElement/Al ratio in sediments.
Major and trace elements are bound to a variety of sediment fractions that range from easily extractable (and bioavailable) to resistant residual mineral phases [45–49]. The total contents of the oxalate-soluble, pyrophosphate-soluble and weak-acid-soluble forms of Fe, Mn, Cr, Zn, Cu, Pb, Ni and Co are provided in Table 4. In this work, ammonium oxalate (pH 3.2–3.3) served to mobilise the easily soluble amorphous Fe-oxyhydroxides and acid-soluble fulvates [30, 31, 50]. Sodium pyrophosphate (pH 10) was used to remove organically bound metals from the sediments. This extract also mobilised part of easily soluble amorphous Fe-oxyhydroxides [13]. Acetic acid removed the labile metals in ion exchange positions, the easily soluble amorphous compounds of iron and manganese, the carbonates and the metals that are weakly held in organic matter [27].
\nStations | \nCu | \nZn | \nNi | \nCo | \nPb | \nCr | \nFe | \nMn | \n
---|---|---|---|---|---|---|---|---|
Weak acid-soluble | \n||||||||
2 | \n0.4 | \n18 | \n5.6 | \n4 | \n16.4 | \n3.4 | \n4540 | \n344 | \n
3 | \n0.4 | \n14 | \n4.8 | \n4.6 | \n14 | \n4.8 | \n5620 | \n144 | \n
4 | \n0.2 | \n13.2 | \n3.4 | \n2.2 | \n13.4 | \n3.2 | \n2840 | \n36 | \n
5 | \n0.2 | \n14 | \n3 | \n6 | \n16 | \n4.8 | \n7640 | \n58 | \n
6 | \n≤0.2 | \n4 | \n2.4 | \n1.8 | \n12 | \n5.2 | \n2660 | \n164 | \n
7 | \n0.2 | \n15.8 | \n3 | \n3.4 | \n20 | \n3.4 | \n3440 | \n52 | \n
8 | \n≤0.2 | \n7.6 | \n5 | \n2.6 | \n15.6 | \n5.6 | \n2920 | \n264 | \n
Mean | \n0.525 | \n12.9 | \n3.82 | \n3.6 | \n15.84 | \n4.22 | \n4244 | \n133.6 | \n
Mean (% of total content) | \n2.8 | \n12.3 | \n16.5 | \n42.4 | \n29.1 | \n9.2 | \n10.6 | \n32.0 | \n
Pyrophosphate-soluble | \n||||||||
2 | \n5.6 | \n18.6 | \n≤0.2 | \n≤0.2 | \n4.8 | \n1 | \n2580 | \n180 | \n
3 | \n2 | \n10.4 | \n≤0.2 | \n≤0.2 | \n7 | \n0.8 | \n2940 | \n82 | \n
4 | \n2.6 | \n9 | \n≤0.2 | \n≤0.2 | \n7 | \n≤0.2 | \n1300 | \n30 | \n
5 | \n0.8 | \n14.8 | \n≤0.2 | \n≤0.2 | \n5.4 | \n0.4 | \n1480 | \n32 | \n
6 | \n0.4 | \n1.2 | \n≤0.2 | \n≤0.2 | \n5 | \n0.8 | \n420 | \n50 | \n
7 | \n1 | \n13.4 | \n≤0.2 | \n≤0.2 | \n9.6 | \n1.6 | \n1360 | \n42 | \n
8 | \n0.2 | \n2 | \n≤0.2 | \n≤0.2 | \n7.6 | \n≤0.2 | \n600 | \n90 | \n
Mean | \n2.24 | \n10.84 | \n≤0.2 | \n≤0.2 | \n5.74 | \n1 | \n1652 | \n65.9 | \n
Mean (% of total content) | \n12.1 | \n10.4 | \n— | \n— | \n10.6 | \n2.2 | \n4.1 | \n15.8 | \n
Oxalate-soluble | \n||||||||
2 | \n3 | \n5.6 | \n1.4 | \n1.6 | \n5.4 | \n5.3 | \n11,300 | \n375 | \n
3 | \n3.7 | \n7 | \n2.2 | \n1 | \n6.8 | \n5.2 | \n10,550 | \n172 | \n
4 | \n2.5 | \n8 | \n1.6 | \n0.6 | \n3.4 | \n4 | \n5480 | \n75 | \n
5 | \n2.1 | \n6.8 | \n1.3 | \n2.2 | \n5.4 | \n6 | \n8250 | \n87 | \n
6 | \n0.4 | \n6.5 | \n2.2 | \n1.2 | \n1.1 | \n7 | \n7500 | \n158 | \n
7 | \n4.4 | \n8.7 | \n2.6 | \n1.5 | \n4.1 | \n5 | \n7550 | \n90 | \n
8 | \n0.5 | \n8.1 | \n2 | \n1.9 | \n1.2 | \n6.2 | \n8430 | \n255 | \n
Mean | \n2.93 | \n7.42 | \n2 | \n1.44 | \n4.56 | \n5.57 | \n8572 | \n152.1 | \n
Mean (% of total content) | \n15.8 | \n7.1 | \n8.6 | \n16.9 | \n8.4 | \n12.2 | \n21.5 | \n36.4 | \n
Major and trace element form contents in sediments (in μg g−1).
The total content of the oxalate-soluble (amorphous) Fe increased from the river to the sea, whereas its percent content varied insignificantly (18–24% of the total content) and is the highest in sediments in the frontal zone (sts. 2–3). The percent content of the weak-acid-soluble Fe, which is mostly comprised of easily soluble amorphous oxides, was constant in the transitional zone (10–11% of the total content), reached the maximum of 18% in the coarsest sediment from station 4 and lowered to 7–8% in the bay sediments. The percent content of the pyrophosphate-soluble Fe was low and decreased from 6–1% of the total Fe along the salinity gradient. The total and percent contents of oxalate-soluble Mn (18–58%), weak-acid-soluble Mn (13–54%) and pyrophosphate-soluble Mn (9–28%) were the highest in the coarse sediments of the frontal zone (sts. 2–3). Seaward, the contents of the studied forms of Mn decreased in the sediments in the transitional sub-zone (sts. 4–6) and increased again in the bay (sts. 7–8).
\nThe oxalate-soluble form comprised 9–14% (12% on average) of the total content for Cr, 3–11% (8%) for Pb, 5–11% (7%) for Zn, 3–23%(15%) for Cu, 5–12% (9%) for Ni and 13–22% (17%) for Co. The weak-acid-soluble form comprised 8–12% (9% on average) of the total content for Cr, 23–34% (30%) for Pb, 4–19% (12%) for Zn, 1–8% (2%) for Cu, 8–24% (17%) for Ni and 20–66% (44%) for Co. The contents of pyrophosphate-soluble form were below the detection limit for Ni and Co. This form comprised 0.3–3% (2% on average) of the total content for Cr, 5–17% (11%) for Pb, 1–16% (10%) for Zn and 1–26% (12%) for Cu. According to the comparative extractability from sediments, Ni, Zn, Cr and Cu are low-labile and mainly occur in the residual phase. These metals were mainly extracted in the detrital fraction, which emphasises the importance of natural weathering and erosion in drainage basins. Fe and Zn are moderately labile and occur in the less resistant phases such as crystallised Fe/Mn oxides and organic compounds that may be a threat in the long term. Mn, Co and Pb are labile, held in ion exchange positions, bound to easily soluble amorphous Fe/Mn compounds and weakly held in organic matter. The high levels of acid-soluble Pb and Co (30 and 43% of the total content on average, respectively) compared to previously studied estuarine and coastal sediments contributes to a contamination problem in the Nha Trang Bay, which arises from the Cai River discharges, while the elevated level of easily reducible and organically bound Pb fractions (8 and 11% of the total content on average, respectively) also contributes to the anthropogenic input of Pb [5, 13].
\nThe contents of oxalate-soluble (amorphous) forms were higher than the contents of pyrophosphate-soluble (organically bound) forms at all sites for Fe, Mn, Ni, Co and Cr (Table 4). Therefore, the most bioavailable parts of Ni, Co and Cr are bound to amorphous Fe and Mn oxyhydroxides and acid-soluble organic compounds. The contents of pyrophosphate-soluble forms were higher than the contents of oxalate-soluble forms at most of the sites for Pb, Zn and at some sites for Cu. Among the elements studied, most of the bioavailable Pb, Zn and Cu was most likely bound to organic substances. According to the mean determined amounts of the oxalate-soluble, pyrophosphate-soluble and weak-acid-soluble forms, the studied elements can be arranged in the following increasing order of average potential bioavailability: Cr < Ni < Cu < Zn < Fe < <Pb < Co < <Mn. The most bioavailable trace elements in sediments that were studied were scavenged by amorphous iron oxyhydroxides in the course of estuarine sedimentation. This result supports the fact that Fe and Mn oxyhydroxides largely control the bioavailability in sediments [7, 19, 32].
\nFigure 5 illustrates the distribution of the ecologically most significant weak-acid-soluble (labile) fraction along the river-sea transect. Mn, Co and Pb have the highest percent contents of the labile form but exhibit different spatial distributions showing some sporadic enrichments along the salinity gradient. Thus, the distribution of the most abundant labile Co is complicated by a pronounced maximum of 67% in the sediment at station 5. The sediments are mostly enriched with labile Fe, Zn, Cr and Ni in the frontal and transitional sub-zones (sts. 2–5). Cu exhibit the lowest contents of the labile form. Therefore, in the studied sediments, Cu is most likely bound to the residual mineral phase that is comprised of detrital heavy minerals.
\nWeak acid-soluble (labile) metal form in sediments.
The suspended particulate matter (SPM) showed a concentration maximum (50 mg l−1) near the river mouth and then a decrease seaward to the values of around 1 mg l−1 at salinities 32–36‰, following from the sedimentation of the coarsest fluvial material in the frontal zone of the estuary at the sharp decrease in the river flow velocity enhanced by the dam influence. The distribution pattern of particulate organic carbon (POC) was close to the SPM distribution and varied within the range 0.18–1.25 mg l−1. The organic carbon content in the SPM (POC, % of dry SPM weight) varied within the range 2–17%. The higher organic carbon content >10% was found in SPM of the marine waters at the salinity >30‰.
\nThe distribution of particulate form of Al, Fe, Ti, Li, Zn, Pb, U, Sc, Sn, Bi, Zr, Ba, As, Sr., W, V and Ag followed the distribution of total suspended matter and was characterised by a maximum in the river water and then a sharp decrease seaward of element relative concentration (in μg l−1) with highest horizontal gradients within the salinity interval of 8–20%. The most part of these elements must be supplied to the estuary with the Cai River discharge. The distribution of particulate form of Co, Cu, Ni, Mo and Cr and, in a lesser extent, Mn, Ba, Sn, Sb and Hg is characterised by the most significant loss in the frontal zone of the estuary where the coarsest river material enriched in detrital minerals and pronounced increase of their absolute concentrations at salinities 32–36‰. In the stratified Cai River estuary, the significant part of the particulate trace elements may be carried out seaward with the surface water layer. In the marine part of the estuary, with a homogenisation of the water column, most of the fine-grained material of surface water layer enriched in organic matter and trace metals is deposited.
\nSedimentary Fe, Ti, Li, Sc, Co, Cs, Zr, Cr, Zn, Co, Ni, Cu, Pb, Sn, V As, U and Mo varied in relatively narrow ranges along the salinity gradient and tend to increase seaward. These elements are most likely controlled by the accumulation of their most fine-grained aluminosilicate host minerals and materials in the sea floor depression of the marine sub-zone. Sedimentary Bi and W, are generally uniformly low but tend to decrease seaward. These elements may be associated with the coarsest river material enriched in detrital minerals which is mostly deposited in the riverine part of the estuary. The distribution of Sr. and Ca and, in a lesser extent, of Mn and Ba is largely controlled by the total inorganic carbon (TIC) content in the sediments.
\nThe distribution of trace elements in SPM and sediments of Cai River—Nha Trang Bay estuarine system is strongly influenced by the water column stratification because of the natural fractionation and deposition of materials of different grain sizes at sites, which are determined by hydrodynamic conditions.
\nAssuming that the mean determined amounts of the oxalate-soluble, pyrophosphate-soluble and weak-acid-soluble forms are a measure of the potential metal bioavailability in sediments of the Cai River—Nha Trang Bay estuarine system, the studied elements can be arranged in the following increasing order of average potential bioavailability: Cr < Ni < Cu < Zn < Fe < <Pb < Co < <Mn. This sequence is true for sediments in different sub-zones of the water-mixing zone: estuary (transitional waters) and sea (bay). Metal form study revealed the highest percent contents of the labile (weak acid-soluble) form for Mn, Co and Pb in the sediments. The high levels of labile Pb and Co (30 and 43% of the total content in sediment, on average, respectively) contribute to a heavy metal contamination problem in the Nha Trang Bay, which arises from the Cai River discharge. The elevated level of amorphous (oxalate-soluble) and organically bound (pyrophosphate-soluble) Pb fractions (8 and 11% of the total content in sediment, on average, respectively) also contribute to the anthropogenic input of Pb. The most bioavailable parts of the studied trace metals are associated with easily soluble amorphous Fe and Mn oxyhydroxides.
\nThis research was performed in the framework of the state assignment of FASO Russia (theme No. 0149-2018-0005).
\nAccording to Russell Ackoff [1], a systems theorist and professor of organizational change, the content of the human mind can be classified into three categories:
IF temperature < = 0° C THEN cold = true;
Cold IF == right THEN notify personnel to remove ice from aircraft.
Indeed, knowledge is the appropriate collection of information such that it intends to be useful. Knowledge is a deterministic process. Memorization of information leads to knowledge. Knowledge represents a pattern and provides a high level of predictability regarding what is being described or will happen next.
Ex: If the humidity is very high and the temperature drops drastically, the atmosphere is unlikely to hold the humidity so that it rains.
This knowledge has a useful meaning, but its integration in a context will infer new knowledge. For example, a student memorizes or accumulates knowledge of the multiplication Table. A student can answer 2 × 2 because this knowledge is in the multiplication table. Nevertheless, when asked for 1267 × 300, he cannot answer correctly because he cannot dip into the multiplication table. To answer such a question correctly requires a real cognitive and analytical capacity that exists in the next level … comprehension. In computer jargon, most of the applications we use (modeling, simulation, etc.) use stored knowledge.
The system is an aggregated “whole” where each component interacts with at least one other component of the system. The components or parts of a system can be real or abstract.
All system components work toward a standard system goal. A system can contain several subsystems. It can be connected to other systems.
A system is a collection of elements or components that interact to achieve goals. The elements themselves and the relationships between them determine how the system works. Systems have inputs, processing mechanisms, outputs, and feedback mechanisms. A system processes the input to create the output [3].
Input is the activity of collecting and capturing data.
Processing involves the transformation of inputs into outputs such as computation, for example.
Output is about producing useful information, usually in the form of documents and reports. The output of one system can become the input of another system. For example, the output of a system, which processes sales orders, can be used as input to a customer’s billing system. Computers typically produce output to printers and display to screens. The output can also be reports and documents written by hand or produced manually.
Finally, feedback or feedback is information from the system used to modify inputs or treatments as needed.
An information system (IS) is a set of interrelated components that collect, manipulate, store and disseminate information and provide a feedback mechanism to achieve a goal. The feedback mechanism helps organizations achieve their goals by increasing profits, improving customer service [3], and supporting decision-making and control in organizations [4].
Companies use information systems to increase revenues and reduce costs.
In organizations, information systems are structured around four essential elements, proposed in the 1960s by Harold Leavitt (Figure 1). The pattern is known as the “Leavitt Diamond.”
Leavitt’s diamond: A socio-technical view of IS.
A company has systems to support the different managerial levels. These systems include transaction processing systems, management information systems, decision support systems, and dedicated business intelligence systems.
Companies use information systems so that accurate and up-to-date information is available when needed [5].
Within the same organization, executives at different hierarchy levels have very different information requirements, and different types of information systems have evolved to meet their needs. A common approach for examining the types of information systems used within organizations is to classify them according to their roles at different organizational structure levels, and this approach is called a vertical approach. Indeed, the organization is considered a management pyramid at four levels (Figure 2):
Information Systems types according to managerial level.
At the operational level, managers need systems that keep track of the organization for necessary activities and operations, such as sales and material flow in a factory. A transaction processing system is a computer system that performs and records the routine (daily) operations necessary for managing affairs, such as keeping employee records, payroll, shipping merchandise, keeping records, accounting and treasury.
At this level, the primary purpose of systems is to answer routine questions and monitor transactions flow through the organization.
At the operational level, tasks, resources, and objectives are predefined and highly structured. The decision to grant credit to a customer, for example, is made by a primary supervisor according to predefined criteria. All that needs to be determined is whether the client meets the criteria.
Middle managers need systems to help with oversight, control, decision making, and administrative activities. The main question that this type of system must answer is: is everything working correctly?
Its role is to summarize and report on essential business operations using data provided by transaction processing systems. Primary transaction data is synthesized and aggregated, and it is usually presented in reports produced regularly.
DSS supports decision-making for unusual and rapidly evolving issues, for which there are no fully predefined procedures. This type of system attempts to answer questions such as: What would impact production schedules if we were to double sales for December? What would the level of Return on investment be if the plant schedule were delayed by more than six months?
While DSSs use internal information from TPS and MIS systems, they also leverage external sources, such as stock quotes or competitor product prices. These systems use a variety of models to analyze the data. The system can answer questions such as: Considering customer’s delivery schedule and the freight rate offered, which vessel should be assigned, and what fill rate to maximize profits? What is the optimum speed at which a vessel can maximize profit while meeting its delivery schedule?
ESS helps top management make decisions. They address exceptional decisions requiring judgment, assessment, and a holistic view of the business situation because there is no procedure to be followed to resolve a given issue at this level.
ESS uses graphics and data from many sources through an interface that senior managers easily understand. ESS is designed to integrate data from the external environment, such as new taxes or competitor data, and integrate aggregate data from MIS and DSS. ESSs filter, synthesize and track critical data. Particular attention is given to displaying this data because it contributes to the rapid assimilation of these top management figures. Increasingly, these systems include business intelligence analysis tools to identify key trends and forecasts.
Decision-making in companies is often associated with top management. Today, employees at the operational level are also responsible for individual decisions since information systems make information available at all company levels.
So decisions are made at all levels of the company.
Although some of these decisions are common, routine, and frequent, the value of improving any single decision may be small, but improving hundreds or even thousands of “small” decisions can add value to the business.
Not all situations that require decisions are the same. While some decisions result in actions that significantly impact the organization and its future, others are much less important and play a relatively minor role. A decision’s impact is a criterion that can differentiate between decision situations and the degree of the decision’s structuring. Many situations are very structured, with well-defined entrances and exits. For example, it is relatively easy to determine the amount of an employee’s pay if we have the appropriate input data (for example, the number of hours worked and their hourly wage rate), and all the rules of relevant decision (for example, if the hours worked during a week are more than 40, then the overtime must be calculated), and so on. In this type of situation, it is relatively easy to develop information systems that can be used to help (or even automate) the decision.
In contrast, some decision situations are very complex and unstructured, where no specific decision rules can be easily identified. As an example, consider the following task: “Design a new vehicle that is a convertible (with a retractable hardtop), has a high safety rating, and is esthetically pleasing to a reasonably broad audience. No predefined solution to this task finalizing a design will involve many compromises and require considerable knowledge and expertise.
Examples of Types of decisions, according to managerial level, are presented in Table 1.
Decision level | Characteristics of decisions | Examples of decisions |
---|---|---|
Top Management | Unstructured | Decide whether or not to come into the market |
Approve the budget allocated to capital | ||
Decide on long-term goals | ||
Intermediate management | Semi-structured | Design a marketing plan |
Develop a departmental budget | ||
Design a website for the company | ||
Operational management | Structured | Determine the overtime hours |
Determine the rules for stock replenishment | ||
Grant credit to customers | ||
Offer special offers to customers |
Types of decisions according to managerial level.
Generally speaking, structured decisions are more common at lower levels of the organization, while unstructured problems are more common at higher business levels.
The more structured the decision, the easier it is to automate. If it is possible to derive an algorithm that can be used to make an efficient decision and the input data to the algorithm can be obtained at a reasonable cost, it generally makes sense to automate the decision.
Davenport and Harris [6] proposed a framework for the categorization of applications used for decision automation. Most of the systems they describe include some expert systems, often combined with DSS and/or EIS aspects. The categories they provided include Solution Configuration, Optimization of Performance, Routing or Segmentation of Decisions, Business Regulatory Compliance, Fraud Detection, Dynamic Forecasting, and Operational Control.
Many business decision situations are not very structured, and therefore cannot (or should not) be fully automated.
Data visualization tools allow users to see patterns and relationships in large amounts of data that would be difficult to discern if the data had been presented in tabular form, for example.
Geographic Information Systems (GIS) helps decision-makers visualize issues requiring knowledge about people’s geographic distribution or other resources. GIS software links the location data of points, lines, and areas on a map. Some GIS have modeling capabilities to modify data and simulate the impact of these modifications. For example, GIS could help the government calculate response times to natural disasters and other emergencies or help banks identify the best replacement for installing new branches or ATMs of tickets.
Geographic (or geospatial) information refers not only to things that exist (or are being planned) on specific locations on the Earth’s surface but also to events such as traffic congestion, flooding, and other events such as an open-air festival [7].
Its scope and granularity characterize this information:
Location, extent, and coverage are essential aspects of geographic information.
Granularity, for example, geometric information, can be concise or fuzzy depending on the application.
GIS is used to capture, store, analyze, and visualize data that describes part of the Earth’s surface, technical and administrative entities, and the results of geosciences, economics, and ecological applications.
It is a computer system with a database observing the spatial distribution of objects, activities, or events described by points, lines, or surfaces.
It is a comprehensive collection of tools for capturing, storing, extracting, transforming, and visualizing real-world spatial data for applications.
It is an information system containing all the data of the territory, the atmosphere, the surface of the Earth, and the lithosphere, allowing the systematic capture, the update, the manipulation, and the analysis of these data standardized reference framework.
It is a decision support system that integrates spatial data into a problem-solving environment.
Other definitions of GIS exist depending on the point of view of application [7], a GIS can be considered as
A collection of spatial data with storage and retrieval functions
A collection of algorithmic and functional tools
A set of hardware and software components necessary for processing geospatial data
A particular type of information technology
A gold mine for answers to geospatial questions
A model of spatial relations and spatial recognition.
Typically, a GIS provides functions for the storage and retrieval, interrogation and visualization, transformation, geometric and thematic analysis of information.
Indeed, geographic/geospatial information is ubiquitous, as seen on mobile devices such as cell phones, maps, satellite images, positioning and routing services, and even 3D simulations, gaining popularity from increasingly essential segments of the consumers.
Technological advances in recent years have transformed classical GIS into new forms of geospatial analysis tools, namely:
Web-based and service-oriented approaches have led to a client–server architecture.
Mobile technology has made GIS ubiquitous in smartphones, tablets, and laptops (opening up new markets).
IS applications cover functional areas and focus on the execution of business processes across the enterprise, including all management levels.
There are several categories of business applications: Enterprise Resource Planning (ERP), Supply Chain Management systems (SCM), Customer Relationship Management systems (CRM), electronic commerce or e-commerce, Knowledge Management systems or KM, and Business Intelligence or BI. The categories of business applications dealt with in this section cover all managerial levels since KMS are mainly intended for top management (ESS), SCMs, CRMs, and BI for mid-level management (MIS and DSS), ERP and e-commerce dedicated to the transactional level (TPS or basic or operational).
However, it is useful to specify that some ERP systems, such as the global giant SAP, offer versions of its software package covering these different categories, including SCM and CRM.
ERPs allow business processes related to production, finance and accounting, sales and marketing, and human resources to be integrated into a single software system. Information that was previously fragmented across many different systems is integrated into a single system with a single, comprehensive database that multiple business stakeholders can use.
An ERP system centralizes an organization’s data, and the processes it applies are the processes that the organization must adopt [8]. When an ERP provider designs a module, it must implement the rules of the associated business processes. ERP systems apply best management practices. In other words, when an organization implements ERP, it also improves its management as part of ERP integration. For many organizations, implementing an ERP system is an excellent opportunity to improve their business practices and upgrade their software simultaneously. Nevertheless, integrating an ERP represents a real challenge: Are the processes integrated into the ERP better than those currently used? Furthermore, if the integration is booming, and the organization operates the same as its competitors, how do you differentiate yourself?
ERPs are configurable according to the specificities of each organization. For organizations that want to continue using their processes or even design new ones, ERP systems provide means for customizing these processes. However, the burden of maintenance falls on the organizations themselves in the case of ERP customization.
Organizations will need to consider the following decision carefully: should they accept the best practice processes embedded in the ERP system or develop their processes? If the choice is ERP, process customization should only concern processes essential to its competitive advantage.
Electronic commerce is playing an increasingly important role in organizations with their customers.
E-commerce enables market expansion with minimal capital investment, improves the supply and marketing of products and services. Nevertheless, there is still a need for universally accepted standards to ensure the quality and security of information and sufficient telecommunications bandwidth.
The three main categories of e-commerce are Business-to-Consumer (B2C), Business-to-Business (B2B), and Consumer-to-Consumer (C2C).
Business-to-Consumer (B2C) e-commerce involves the retailing of products and services to individual customers. Amazon, which sells books, software, and music to individual consumers, is an example of B2C e-commerce.
Business-to-Business (B2B), e-commerce involves the sale of goods and services between businesses. The ChemConnect website for buying and selling chemicals and plastics is an example of B2B e-commerce.
Consumer-to-Consumer (C2C), this type of e-commerce involves consumers selling directly to consumers. For example, eBay, the giant web-based auction site, allows individuals to sell their products to other consumers by auctioning their goods, either to the highest bidder or through a fixed price.
Information systems for the management of the supply chain or SCM make it possible to manage its suppliers’ relations. These systems help suppliers and distributors share information about orders, production, inventory levels, and delivery of products and services so that they can source, produce and deliver goods and services efficiently.
The ultimate goal is to get the right amount of products from their suppliers at a lower cost and time. Additionally, these systems improve profitability by enabling managers to optimize scheduling decisions for procurement, production, and distribution.
Anomalies in the supply chain, such as parts shortages, underutilized storage areas, prolonged storage of finished products, or high transportation cost, are caused by inaccurate or premature information. For example, manufacturers may stock an excessive amount of parts because they do not know precisely the dates of upcoming deliveries from suppliers. Alternatively, conversely, the manufacturer may order a small number of raw materials because they do not have precise information about their needs. These supply chain inefficiencies squander up to 25 percent of the company’s operating costs.
If a manufacturer has precise information on the exact number of units of the product demanded by customers, on what date, and its exact production rate, it would be possible to implement a successful strategy called “just in time” (just-in-time strategy). Raw materials would be received precisely when production needed them, and finished products would be shipped off the assembly line with no need for storage.
However, there are always uncertainties in a supply chain because many events cannot be predicted, such as late deliveries from suppliers, defective parts or non-conforming raw materials, or even breakdowns in the production process. To cope with these kinds of contingencies and keep their customers happy, manufacturers often deal with these uncertainties by stocking more materials or products than they need. The safety stock acts as a buffer against probable supply chain anomalies. While managing excess inventory is expensive, a low stock fill rate is also costly because orders can be canceled.
CRM aims to manage customer relationships by coordinating all business processes that deal with customers’ sales and marketing. The goal is to optimize revenue, customer satisfaction, and customer loyalty. This collected information helps companies identify, attract and retain the most profitable customers, and provide better service to existing customers and increase sales.
The CRM captures and integrates the data of the company’s customers. It consolidates data, analyzes it, and distributes the results to different systems and customer touchpoints throughout the company. A point of contact (touchpoint, contact point) is a means of interaction with the customer, such as telephone, e-mail, customer service, conventional mail, website, or even a sales store, by retail.
Well-designed CRM systems provide a single view of the company’s customers, which is useful for improving sales and customer service quality. Such systems also provide customers with a single view of the business regardless of their contact point or usage.
CRM systems provide data and analytical tools to answer these types of questions: “What is the value of a customer to the business” “Who are the most loyal customers?” “Who are the most profitable customers” and “What products are profitable customers buying?”
Businesses use the answers to these questions to acquire new customers, improve service quality, support existing customers, tailor offerings to customer preferences, and deliver escalating services to retain profitable customers.
Some companies perform better than others because they know how to create, produce, and deliver products and services. This business knowledge is difficult to emulate, is unique, and can be leveraged and deliver long-term strategic benefits. Knowledge Management Systems or KMS enable organizations to manage processes better to collect and apply knowledge and expertise. These systems collect all the relevant knowledge and experiences in the company and make them available to everyone to improve business processes and decision management.
Knowledge management systems can take many different forms, but the primary goals are: 1) facilitating communication between knowledge workers within an organization, and 2) to make explicit the expertise of a few and make it available to many.
Consider an international consulting firm, for example. The company employs thousands of consultants across many countries. The consultancy team in Spain may be trying to resolve a client’s problem, very similar to a consultancy team in Singapore that has already been solved. Rather than reinventing the solution, it would be much more useful for the Spain team to use the Singapore team’s knowledge.
One way to remedy this situation is to store case histories from which employees worldwide can access (via the Internet) and search for cases (using a search engine) according to their respective needs. If the case documentation is of good quality (accurate, timely, complete), the consultants will share and benefit from each other’s experiences, and the knowledge gained.
Unfortunately, it is often difficult to get employees to contribute meaningfully to the knowledge base (as they are probably more concerned with moving forward on their next engagements with customers rather than documenting their past experiences). For such systems to have any chance of success, the work organization must change, such as establishing a reward system for cases captured and well documented.
The term Business Intelligence (BI) is generally used to describe a type of information system designed to help decision-makers learn about trends and identify relationships in large volumes of data. Typically, BI software is used in conjunction with large databases or data warehouses. While the specific capabilities of BI systems vary, most can be used for specialized reporting (e.g., aggregated data relating to multiple dimensions), ad-hoc queries, and trend analysis.
As with knowledge management systems, the value of business intelligence systems can be hampered in several ways. The quality of the data that is captured and stored is not guaranteed. Besides, the database (or data warehouse) may lack essential data (for example, ice cream sales are likely to correlate with temperature; without the temperature information, it may be difficult to identify why it is. There has been an increase or decrease in sales of ice cream). A third challenge is the lack of mastery of data analysts over the context of the organization’s operations, even if they are proficient in BI software. In contrast, a manager has mastery of the organization but does not know how to use BI software. As a result, it is common to have a team (a manager associated with a data analyst) to get the most information (and/or knowledge) from a business intelligence system.
Unlike physical assets, the information does not necessarily disappear when it has been stolen. If an organization holds confidential information such as a new manufacturing process, it may be uploaded by an unauthorized person and remain available to the organization.
Exposing information to unauthorized personnel constitutes a breach of confidentiality.
Another type of system failure happens when the integrity of information is no longer guaranteed. In other words, rather than unauthorized exposure of information, there are unauthorized changes of information. A corporate website containing documentation on how to configure or repair its products could suffer severe financial harm if an intruder could change instructions, leading to customers misconfigure or even ruin the purchased product.
Finally, the denial of access to information or the unavailability of information represents another type of information failure. For example, if a doctor is prevented from accessing a patient’s test results, the patient may suffer needlessly or even die. A commercial website could lose significant sales if its website were down for an extended period.
Understanding the potential causes of system failure enables appropriate action to be taken to avoid them. There are a wide variety of potential threats to an organization’s information systems.
Human threats are the most complicated to manage because they include a wide variety of behaviors. To illustrate how the level of detail can vary, some relevant subcategories include:
Accidental behavior by members of the organization, technical support staff, and customers of the organization
Malicious behavior by someone inside or outside the organization
Other categories of threats include:
A natural event: flood, fire, tornado, ice storm, earthquake, pandemic flu
Environmental elements: chemical spill, gas line explosion.
Technical Threat: Hardware or software failure
Operational Threat: a faulty process that unintentionally compromises the confidentiality, integrity, or availability of information. For example, an operational procedure that allows application programmers to upgrade software without test or notification system operators can result in prolonged outages.
It is possible to categorize the various checks intended to avoid a failure, such as:
Management controls management processes that identify system requirements such as confidentiality, integrity, and availability of information and provide for various management controls to ensure that these requirements are met.
Operational controls: include the day-to-day processes associated with the provision of information services.
Technical controls: concern the technical capacities integrated into the IT infrastructure to support the increased confidentiality, integrity, and availability of information services.
A widely cited Gartner research report concludes that “people directly cause 80% of downtime in critical application services. The remaining 20% are caused by technological failures, environmental failure or a natural disaster”.
Often, these failures are the result of software modifications such as adding new features or misconfiguring servers or network devices.
IT professionals should ensure that system changes are prioritized and tested and that all interested parties are notified of proposed changes.
Perceptible benefits can be quantified and assigned a monetary value. Imperceptible benefits, such as more efficient customer service or improved decision making, cannot be immediately quantified but can lead to quantifiable long-term gain [4].
System performance can be measured in different ways.
Efficiency is often referred to as “doing the things right” or doing things right. Efficiency can be defined as the ratio of output to input. In other words, a company is more efficient if it produces more with the same amount of resources or if it produces the same amount of output with a lower investment of resources, or - even better - produces more with less input. In other words, the company achieves improvements in terms of efficiency by reducing the waste of resources while maximizing Productivity.
Each time an item is sold or ordered, the manager updates the quantity of the item sold in the inventory system. The manager needs to check the sales to determine which items have been sold the most and restocked. This considerably reduces the manager’s time to manage his stock (limit input to achieve the same output). So efficiency is a measure of what is produced divided by what is consumed [3].
Effectiveness is measured based on the degree achieved in achieving system objectives. It can be calculated by dividing the objectives achieved by the total of the objectives set.
Effectiveness is denoted as “doing the right thing” or doing the things necessary or right. It is possible to define effectiveness as an organization’s ability to achieve its stated goals and objectives. Typically, a business more significant is the one that makes the best decisions and can carry them out.
For example, to better meet its various customers’ needs, an organization may create or improve its products and services founded on data collected from them and information accumulated from sales activities. In other words, information systems help organizations better understand their customers and deliver the products and services that customers desire. Collecting customer data on an individual basis will help the organization provide them with personalized service.
The manager can also ask customers what kind of products and services customers would like to buy in the future, trying to anticipate their needs. With the information gathered, the manager will order the customers’ products and stop ordering unpopular products.
In what follows, we present several formulas established to measure efficiency and effectiveness resulting from the information systems use. Indeed, the impact of an information system on an organization can be assessed using financial measures.
When the information system is implemented, management will certainly want to assess whether the system has succeeded in achieving its objectives. Often this assessment is challenging to achieve. The business can use financial metrics such as Productivity, Return On Investment (ROI), net present value, and other performance metrics explained in the following:
Return on investment, denoted as a Return rate, is a financial ratio that measures the amount gained or lost compared to the amount initially invested.
An information system with a positive return on investment indicates that this system can improve its efficiency.
The advantage of using Return on investment is that it is possible to quantify the costs and benefits of introducing an information system. Therefore, it is possible to use this metric to compare different systems and see which systems can help the organization be more efficient and/or more effective.
Developing information systems that measure Productivity and control is a crucial element for most organizations. Productivity is a measure of produced output divided by required input. A higher production level for a given entry-level means greater Productivity; a lower output level for a given entry-level means lower Productivity. Values assigned to productivity levels are not always based on hours worked. Productivity may be based on the number of raw materials used, the quality obtained, or the time to produce the goods or services. According to other parameters and with other organizations in the same industry, Productivity’s value has to mean only compared to other Productivity periods.
Another measure of the SI value is the increase in profit or the growth in realized profits. For example, a mail-order company installs an order processing system that generates 7 percent growth in profits over the previous year.
Market share is the percentage of sales of a product or service relative to the overall market. If installing a new online catalog increases sales, it could help increase the company’s market share by, for example, 20 percent.
Although customer satisfaction is difficult to quantify, many companies measure their information systems performance based on internal and external feedback. Some companies use surveys and questionnaires to determine whether investments have resulted in increased customer satisfaction.
Another way to measure the value of information systems has been developed by the Gartner Group and is called the Total Cost of Ownership (TCO). This approach allocates the total costs between acquiring the technology, technical support, and administrative costs. Other costs are added to the TCO, namely: retooling and training costs. TCO can help develop a more accurate estimate of total costs for systems ranging from small computers to large mainframe systems.
The evolution of information technologies leads to the reflection on new approaches that set up more flexible, more scalable architectures to meet its agility needs. The urbanization of information systems is one such approach.
The company’s information system’s urbanization is an IT discipline consisting of developing its information system to guarantee its consistency with its objectives and business. By taking into account its external and internal constraints while taking advantage of the opportunities of the IT state of the art.
This discipline is based on a series of concepts modeled on those of the urbanization of human habitat (organization of cities, territory), concepts that have been reused in IT to formalize or model the information system.
Town planning defines rules and a coherent, stable, and modular framework, to which the various stakeholders refer for any investment decision relating to the management of the information system.
In other words, to urbanize is to lead the information systems’ continuous transformation to simplify it and ensure its consistency.
The challenges of urbanization consist of managing complexity, communicating and federating work, considering organizational constraints, and guiding technological choices.
Define and frame the objectives of the project, define the scope, develop the schedule.
Carry out the inventory, organize the work, and present the deliverables. More precisely, list the assets and map the different layers (business, functional, application, and technical):
Business Architecture
Identify “business processes”: Who does what and why? The description of the processes is done with BPMN, EPC formalisms, etc. This step is tricky and may require the use of exploration methods. However, it does improve the overall understanding and increase the possibilities for optimization
Functional architecture
Identify the “functional block”: What do we need to carry out the business processes? Here, we are based on a classic division into zones (exchanges, core business, reference data, production data, support activities, management). This step’s difficulty lies in choosing the right level of detail and remaining consistent with business processes. However, it provides a hierarchical presentation and makes it easier to break down the work.
Application Architecture
Identify the applications: How to achieve the functionalities? This step is based on a classic N-Tiers division. However, it is not easy to provide value and solutions compared to functional architecture. This stage lays the foundations for the realization (major technological choices, etc.).
System Architecture
Identify the technical components: With what and where the applications work, it is based on a classic division into technical areas (security, storage, etc.). It is not easy to make the connection between applications and servers. This step brings concrete and structuring and is essential to assess the cost of the system.
Impact on the different layers, consideration of constraints (human, material, etc.), design of costed scenarios, and arbitration of the choice of a target.
How to organize the work, frame and then refine the budgets, design and plan projects, define the support strategy, set up an organization, contributions, roles, and responsibilities of actors.
At the end of this process, a Land Use Plan (LUP) is defined. It is a report consisting of:
Summaries of the orientations chosen as well as the justifications for the options selected.
A definition of areas, neighborhoods, and blocks.
Existing and target maps (process, functional, application, and technical mapping).
Additional documents (interview reports, list of people and organizational entities, etc.)
The goal is to identify the gaps between the existing and the principles of urbanization and establish changes by describing the actions and their corresponding cost.
In practice, the urbanization process is very cumbersome to implement. On the one hand, it requires the participation of many actors in the organization, and on the other hand, the analysis is very long. As a result, needs to change, and LUP is no longer necessarily suitable.
The reasons for a successful or unsuccessful IS implementation are complex and contested by different stakeholders and from the various perspectives involved. Developers tend to focus on the system’s technical validity in terms of execution, operation, and evolution. Other qualities are often considered, such as security, maintainability, scalability, stability, and availability. All of these criteria are considered to be signs of successful IS Development.
The failure of an IS can be defined as: either the system put in place does not meet the user’s expectations or does not function properly. The reasons for failure are as divergent as the projects.
The perspective of project management, on the other hand, tends to focus on the consumption of resources. The project delivered with the initial budget and within the allotted time is considered a successful project. Nelson [9] analyzed 99 SI projects and identified 36 classic errors. He categorized these errors into four categories: process, people, product, and technology. The last category concerns the factors leading to IS failures based on the misuse of modern technologies.
The seminal article by DeLone and McLean [10] suggested that IS success should be the preeminent dependent variable for the IS domain. These researchers proposed a taxonomy of six interdependent variables to define the IS’ success as the system’s quality, the quality of information, the IS, user satisfaction, individual impact, and organizational impact.
One of the significant extensions to this proposition is the dimension of the IT department’s quality of service [11].
Either way, the use of the system is seen as a sign of its success. The IS use level is incorporated into most IS success models [11, 12]. These models show the complexity of measuring user satisfaction because, even in the same organization, some user groups may be more or less enthusiastic than others to use the new information system.
In the current global context of the covid pandemic, it appears clear that information systems that integrate web and mobile technologies can positively contribute to the monitoring of contaminated cases and therefore minimize the risks of contamination provided that users adhere to this movement for the benefit of all [13]. A truly global, rapid, and efficient decision-making process is enabled by the integration of information systems from distributed sources [14].
To conclude this introductive chapter, we present its key ideas:
Levels of information are data, information, and knowledge.
The system is an aggregated “whole” where each component interacts with at least one other system component to achieve a goal.
An information system can be defined as a set of interconnected components that gather, process, store and dispense information to support decision making and control in an organization. An IS can be seen as a socio-technical system. The technical part includes the technology and the processes, while the social part includes the people and the structure.
The role of information systems is to solve an organization’s problems concerning its information needs
A company has systems to support the different managerial levels: transaction processing systems, management information systems, decision support systems, and systems dedicated to business intelligence.
Decisions can be operational or strategic.
There are several categories of business applications: enterprise resource planning, supply chain management systems, customer relationship management systems, knowledge management systems, and business intelligence.
Among the failures that can affect IS a violation of confidentiality, integrity, and availability of information.
The controls intended to avoid the IS’s security failures include management controls, operational controls, and technical controls.
The information system’s performance can be measured according to efficiency, effectiveness, Return on investment, Productivity, customer satisfaction, etc.
Urbanizing an information system means directing its continuous transformation to guarantee its consistency
The reasons for a successful or unsuccessful implementation of an IS are complex and contested by the various stakeholders and from the various perspectives involved.
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The national framework, which fairly complicated because there are many active players: a) National economic policy: understanding it and the environment for trade activities. b) National economic structure and competiveness of the domestic companies. c) International management capacities. d) Local or regional environment and conditions for the companies. e) Focus on the world market conditions and their development",book:{id:"4686",slug:"perspectives-on-business-and-management",title:"Perspectives on Business and Management",fullTitle:"Perspectives on Business and Management"},signatures:"Schapour Zafarpour",authors:[{id:"175450",title:"Dr.",name:"Schapour",middleName:null,surname:"Zafarpour",slug:"schapour-zafarpour",fullName:"Schapour Zafarpour"}]},{id:"49102",title:"Measuring Urban Development and City Performance",slug:"measuring-urban-development-and-city-performance",totalDownloads:3808,totalCrossrefCites:2,totalDimensionsCites:4,abstract:"Cities represent the driving force of development in economic, social, and cultural life, reflecting also the spatial organization of human society. 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The fundamental problem is that this variety of indicators lacks consistency and comparability (over time and between compared cities). Therefore, their use cannot be approved in a wider context (benchmark) of comparative situations. Upon the case of medium-sized cities, we consequently have to question the applicability of the methodology and indicators, used mostly in cases of large, global cities by internationally recognized institutions. 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Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",institutionURL:null,country:{name:"India"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},subseriesFiltersForPublishedBooks:[{group:"subseries",caption:"Bacterial Infectious Diseases",value:3,count:2},{group:"subseries",caption:"Parasitic Infectious Diseases",value:5,count:4},{group:"subseries",caption:"Viral Infectious Diseases",value:6,count:7}],publicationYearFilters:[{group:"publicationYear",caption:"2022",value:2022,count:2},{group:"publicationYear",caption:"2021",value:2021,count:4},{group:"publicationYear",caption:"2020",value:2020,count:3},{group:"publicationYear",caption:"2019",value:2019,count:3},{group:"publicationYear",caption:"2018",value:2018,count:1}],authors:{paginationCount:189,paginationItems:[{id:"221831",title:"Prof.",name:"Niansheng",middleName:null,surname:"Tang",slug:"niansheng-tang",fullName:"Niansheng Tang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221831/images/system/221831.jpeg",biography:"Niansheng Tang is a Professor of Statistics and Dean of the School of Mathematics and Statistics, Yunnan University, China. He was elected a Yangtze River Scholars Distinguished Professor in 2013, a member of the International Statistical Institute (ISI) in 2016, a member of the board of the International Chinese Statistical Association (ICSA) in 2018, and a fellow of the Institute of Mathematical Statistics (IMS) in 2021. He received the ICSA Outstanding Service Award in 2018 and the National Science Foundation for Distinguished Young Scholars of China in 2012. He serves as a member of the editorial board of Statistics and Its Interface and Journal of Systems Science and Complexity. He is also a field editor for Communications in Mathematics and Statistics. His research interests include biostatistics, empirical likelihood, missing data analysis, variable selection, high-dimensional data analysis, Bayesian statistics, and data science. He has published more than 190 research papers and authored five books.",institutionString:"Yunnan University",institution:{name:"Yunnan University",country:{name:"China"}}},{id:"1177",title:"Prof.",name:"António",middleName:"J. R.",surname:"José Ribeiro Neves",slug:"antonio-jose-ribeiro-neves",fullName:"António José Ribeiro Neves",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1177/images/system/1177.jpg",biography:"Prof. António J. R. Neves received a Ph.D. in Electrical Engineering from the University of Aveiro, Portugal, in 2007. Since 2002, he has been a researcher at the Institute of Electronics and Informatics Engineering of Aveiro. Since 2007, he has been an assistant professor in the Department of Electronics, Telecommunications, and Informatics, University of Aveiro. He is the director of the undergraduate course on Electrical and Computers Engineering and the vice-director of the master’s degree in Electronics and Telecommunications Engineering. He is an IEEE Senior Member and a member of several other research organizations worldwide. His main research interests are computer vision, intelligent systems, robotics, and image and video processing. He has participated in or coordinated several research projects and received more than thirty-five awards. He has 161 publications to his credit, including books, book chapters, journal articles, and conference papers. He has vast experience as a reviewer of several journals and conferences. As a professor, Dr. Neves has supervised several Ph.D. and master’s students and was involved in more than twenty-five different courses.",institutionString:null,institution:{name:"University of Aveiro",country:{name:"Portugal"}}},{id:"11317",title:"Dr.",name:"Francisco",middleName:null,surname:"Javier Gallegos-Funes",slug:"francisco-javier-gallegos-funes",fullName:"Francisco Javier Gallegos-Funes",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/11317/images/system/11317.png",biography:"Francisco J. Gallegos-Funes received his Ph.D. in Communications and Electronics from the Instituto Politécnico Nacional de México (National Polytechnic Institute of Mexico) in 2003. He is currently an associate professor in the Escuela Superior de Ingeniería Mecánica y Eléctrica (Mechanical and Electrical Engineering Higher School) at the same institute. His areas of scientific interest are signal and image processing, filtering, steganography, segmentation, pattern recognition, biomedical signal processing, sensors, and real-time applications.",institutionString:"Instituto Politécnico Nacional",institution:{name:"Instituto Politécnico Nacional",country:{name:"Mexico"}}},{id:"428449",title:"Dr.",name:"Ronaldo",middleName:null,surname:"Ferreira",slug:"ronaldo-ferreira",fullName:"Ronaldo Ferreira",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/428449/images/21449_n.png",biography:null,institutionString:null,institution:{name:"University of Aveiro",country:{name:"Portugal"}}},{id:"165328",title:"Dr.",name:"Vahid",middleName:null,surname:"Asadpour",slug:"vahid-asadpour",fullName:"Vahid Asadpour",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/165328/images/system/165328.jpg",biography:"Vahid Asadpour, MS, Ph.D., is currently with the Department of Research and Evaluation, Kaiser Permanente Southern California. He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:{name:"Association for Computing Machinery",country:{name:"United States of America"}}},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:'"Politechnica" University Timişoara',institution:null},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:null,institution:null},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"417317",title:"Mrs.",name:"Chiedza",middleName:null,surname:"Elvina Mashiri",slug:"chiedza-elvina-mashiri",fullName:"Chiedza Elvina Mashiri",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Midlands State University",country:{name:"Zimbabwe"}}},{id:"352140",title:"Dr.",name:"Edina",middleName:null,surname:"Chandiwana",slug:"edina-chandiwana",fullName:"Edina Chandiwana",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Midlands State University",country:{name:"Zimbabwe"}}},{id:"342259",title:"B.Sc.",name:"Leonard",middleName:null,surname:"Mushunje",slug:"leonard-mushunje",fullName:"Leonard Mushunje",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Midlands State University",country:{name:"Zimbabwe"}}},{id:"347042",title:"Mr.",name:"Maxwell",middleName:null,surname:"Mashasha",slug:"maxwell-mashasha",fullName:"Maxwell Mashasha",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Midlands State University",country:{name:"Zimbabwe"}}},{id:"2941",title:"Dr.",name:"Alberto J.",middleName:"Jorge",surname:"Rosales-Silva",slug:"alberto-j.-rosales-silva",fullName:"Alberto J. 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In many cases, these diseases have adapted so well that they have developed efficient resilience methods in the human host and can live in the host for years. Others, particularly some blood parasites, can cause very acute diseases and are responsible for millions of deaths yearly. Many parasitic diseases are classified as neglected tropical diseases because they have received minimal funding over recent years and, in many cases, are under-reported despite the critical role they play in morbidity and mortality among human and animal hosts. The current topic, Parasitic Infectious Diseases, in the Infectious Diseases Series aims to publish studies on the systematics, epidemiology, molecular biology, genomics, pathogenesis, genetics, and clinical significance of parasitic diseases from blood borne to intestinal parasites as well as zoonotic parasites. We hope to cover all aspects of parasitic diseases to provide current and relevant research data on these very important diseases. In the current atmosphere of the Coronavirus pandemic, communities around the world, particularly those in different underdeveloped areas, are faced with the growing challenges of the high burden of parasitic diseases. At the same time, they are faced with the Covid-19 pandemic leading to what some authors have called potential syndemics that might worsen the outcome of such infections. Therefore, it is important to conduct studies that examine parasitic infections in the context of the coronavirus pandemic for the benefit of all communities to help foster more informed decisions for the betterment of human and animal health.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11401,editor:{id:"67907",title:"Dr.",name:"Amidou",middleName:null,surname:"Samie",slug:"amidou-samie",fullName:"Amidou Samie",profilePictureURL:"https://mts.intechopen.com/storage/users/67907/images/system/67907.jpg",biography:"Dr. Amidou Samie is an Associate Professor of Microbiology at the University of Venda, in South Africa, where he graduated for his PhD in May 2008. He joined the Department of Microbiology the same year and has been giving lectures on topics covering parasitology, immunology, molecular biology and industrial microbiology. He is currently a rated researcher by the National Research Foundation of South Africa at category C2. He has published widely in the field of infectious diseases and has overseen several MSc’s and PhDs. His research activities mostly cover topics on infectious diseases from epidemiology to control. His particular interest lies in the study of intestinal protozoan parasites and opportunistic infections among HIV patients as well as the potential impact of childhood diarrhoea on growth and child development. He also conducts research on water-borne diseases and water quality and is involved in the evaluation of point-of-use water treatment technologies using silver and copper nanoparticles in collaboration with the University of Virginia, USA. 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