Old and new [1, 2, 3, 4] concepts and equations of relativistic and quantum mechanics.
\\n\\n
More than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\\n\\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\\n\\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\\n\\nAdditionally, each book published by IntechOpen contains original content and research findings.
\\n\\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\\n\\n\\n\\n
\\n"}]',published:!0,mainMedia:{caption:"IntechOpen Maintains",originalUrl:"/media/original/113"}},components:[{type:"htmlEditorComponent",content:'
Simba Information has released its Open Access Book Publishing 2020 - 2024 report and has again identified IntechOpen as the world’s largest Open Access book publisher by title count.
\n\nSimba Information is a leading provider for market intelligence and forecasts in the media and publishing industry. The report, published every year, provides an overview and financial outlook for the global professional e-book publishing market.
\n\nIntechOpen, De Gruyter, and Frontiers are the largest OA book publishers by title count, with IntechOpen coming in at first place with 5,101 OA books published, a good 1,782 titles ahead of the nearest competitor.
\n\nSince the first Open Access Book Publishing report published in 2016, IntechOpen has held the top stop each year.
\n\n\n\nMore than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\n\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\n\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\n\nAdditionally, each book published by IntechOpen contains original content and research findings.
\n\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\n\n\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:"5093",leadTitle:null,fullTitle:"Plasma Science and Technology - Progress in Physical States and Chemical Reactions",title:"Plasma Science and Technology",subtitle:"Progress in Physical States and Chemical Reactions",reviewType:"peer-reviewed",abstract:"In the early twentieth century, Dr. Irving Langmuir actively studied plasma discharge and surface science. Since then, great progress has been made in the development of applications of discharges and plasmas such as discharge lamps, electric tubes, and arc welding. In relation to studies on space physics and controlled nuclear fusion, plasma physics has greatly advanced. Plasma chemistry has also progressed along with its applications in LSI fabrication technology, the chemical vapor deposition of functional films, and the production of nanomaterials. In the twenty-first century, the further development of applications of plasma physics and plasma chemistry is certainly expected. In this book, 18 chapters on the recent progress in plasma science and technology have been written by active specialists worldwide.",isbn:"978-953-51-2280-7",printIsbn:null,pdfIsbn:"978-953-51-5067-1",doi:"10.5772/60692",price:159,priceEur:175,priceUsd:205,slug:"plasma-science-and-technology-progress-in-physical-states-and-chemical-reactions",numberOfPages:548,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"441abcff2a740995204fdfc7d3dd9d1b",bookSignature:"Tetsu Mieno",publishedDate:"April 20th 2016",coverURL:"https://cdn.intechopen.com/books/images_new/5093.jpg",numberOfDownloads:45374,numberOfWosCitations:99,numberOfCrossrefCitations:64,numberOfCrossrefCitationsByBook:4,numberOfDimensionsCitations:138,numberOfDimensionsCitationsByBook:8,hasAltmetrics:1,numberOfTotalCitations:301,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 29th 2015",dateEndSecondStepPublish:"May 20th 2015",dateEndThirdStepPublish:"August 24th 2015",dateEndFourthStepPublish:"November 22nd 2015",dateEndFifthStepPublish:"December 22nd 2015",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7,10",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"209593",title:"Dr.",name:"Tetsu",middleName:null,surname:"Mieno",slug:"tetsu-mieno",fullName:"Tetsu Mieno",profilePictureURL:"https://mts.intechopen.com/storage/users/209593/images/system/209593.jpeg",biography:"Dr. Tetsu Mieno studied plasma physics for 5 years under the\nsupervision of Prof. Noriyoshi Sato in Tohoku University, Japan\n(Dept. Electronic Engineering), and he was awarded Doctor\nof Engineering by Tohoku University in 1984. He became an\nAssociate Professor of Shizuoka University (Dept. Physics) in\n1992. He studied plasma science (helicon discharge, fine-particle-plasmas, plasma etching, arc discharge, etc.), and nano materials (production of fullerenes, single-walled carbon nanotubes and other carbon\nnano-materials by the arc discharge method, etc.). In 1999, he became a Professor\nof Shizuoka University. He is currently studying plasma science and technology,\nproduction of functional nano-materials, and utilization of plasma technology for\nthe future.",institutionString:"Shizuoka University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"4",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"Shizuoka University",institutionURL:null,country:{name:"Japan"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"1232",title:"Physical Chemistry",slug:"plasma-physics-physical-chemistry"}],chapters:[{id:"52855",title:"Retracted: Induction Plasma Synthesis of Nanomaterials",doi:"10.5772/62549",slug:"induction-plasma-synthesis-of-nanomaterials",totalDownloads:1086,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Jiayin Guo",downloadPdfUrl:"/chapter/pdf-download/52855",previewPdfUrl:"/chapter/pdf-preview/52855",authors:[{id:"176696",title:"Dr.",name:"Jiayin",surname:"Guo",slug:"jiayin-guo",fullName:"Jiayin Guo"}],corrections:null},{id:"49531",title:"Plasma-Enhanced Laser Materials Processing",doi:"10.5772/61567",slug:"plasma-enhanced-laser-materials-processing",totalDownloads:2638,totalCrossrefCites:2,totalDimensionsCites:3,hasAltmetrics:0,abstract:"In the last few years, the combination of laser irradiation with atmospheric pressure plasmas, also referred to as laser–plasma hybrid technology, turned out to be a powerful technique for different materials processing tasks. This chapter gives an overview on this novel approach. Two methods, simultaneous and sequential laser-plasma processing, are covered. In the first case, both the plasma and the laser irradiation are applied to the substrate at the same time. Depending on the process gas and the discharge type, the plasma provides a number of species that can contribute to the laser process plasma-physically or plasma-chemically. Sequential plasma-enhanced laser processing is based on a plasma-induced modification of essential material properties, thus improving the coupling of laser energy into the material during subsequent laser ablation. Simultaneous plasma-assisted laser processing allows increasing the efficiency of a number of different laser applications such as cleaning, microstructuring, or annealing processes. Sequential plasma-assisted laser processing is a powerful method for the processing of transparent media due to a reduction in the laser ablation threshold and an increase in the ablation rate at the same time. In this chapter, the possibilities, underlying mechanisms, performance, and limits of the introduced approaches are presented in detail.",signatures:"Christoph Gerhard, Wolfgang Viöl and Stephan Wieneke",downloadPdfUrl:"/chapter/pdf-download/49531",previewPdfUrl:"/chapter/pdf-preview/49531",authors:[{id:"176806",title:"Dr.",name:"Christoph",surname:"Gerhard",slug:"christoph-gerhard",fullName:"Christoph Gerhard"},{id:"177773",title:"Prof.",name:"Wolfgang",surname:"Viöl",slug:"wolfgang-viol",fullName:"Wolfgang Viöl"},{id:"177774",title:"Prof.",name:"Stephan",surname:"Wieneke",slug:"stephan-wieneke",fullName:"Stephan Wieneke"}],corrections:null},{id:"49648",title:"Cold Plasma Produced Catalytic Materials",doi:"10.5772/61832",slug:"cold-plasma-produced-catalytic-materials",totalDownloads:2531,totalCrossrefCites:2,totalDimensionsCites:8,hasAltmetrics:0,abstract:"The cold plasma techniques are widely applied to create new materials possessing unique properties, which cannot be prepared by any other methods. Among the many interesting substances produced with the participation of cold plasma, a special place is occupied by materials with catalytic properties. The chapter gives a brief review of various cold plasma methods used for the preparation of catalytic materials – from the plasma modification of conventional catalysts via plasma-enhanced classical synthesis of catalysts to the advanced thin catalytic films fabricated by plasma sputtering processes but primarily by plasma deposition from metalorganic precursors (PECVD). Recently, the catalytic films have attracted considerable attention due to the possibility of depositing them as very thin coatings on virtually all supports without any change in their geometry. Such coatings open the way for new reactor designs, so-called structured reactors, designated for various chemical processes. They can also be used as catalytic deposit on the surface of electrodes for fuel cells and photoelectrodes for water splitting processes. Recent developments in this field and further prospects for thin catalytic films are discussed, all the more so because it is one of the main areas of research in our department.",signatures:"Jacek Tyczkowski",downloadPdfUrl:"/chapter/pdf-download/49648",previewPdfUrl:"/chapter/pdf-preview/49648",authors:[{id:"98108",title:"Prof.",name:"Jacek",surname:"Tyczkowski",slug:"jacek-tyczkowski",fullName:"Jacek Tyczkowski"}],corrections:null},{id:"49712",title:"Plasma Nitriding of Titanium Alloys",doi:"10.5772/61937",slug:"plasma-nitriding-of-titanium-alloys",totalDownloads:3511,totalCrossrefCites:2,totalDimensionsCites:10,hasAltmetrics:0,abstract:"Titanium alloys are found in many applications where weight saving, strength, corrosion resistance, and biocompatibility are important design priorities. However, their poor tribological behavior is a major drawback, and many surface engineering processes have been developed to enhance wear in titanium alloys such as nitriding. Plasma (ion) nitriding, originally developed for ferrous alloys, has been adopted to address wear concerns in titanium alloys. Plasma nitriding improves the wear resistance of titanium alloys by the formation of a thin surface layer composed of TiN and Ti2N titanium nitrides (e.g., compound layer). Nonetheless, plasma nitriding treatments of titanium alloys typically involve high temperatures (700–1100°C) that promote detrimental microstructural changes in titanium substrates, formation of brittle surface layers, and deterioration of mechanical properties especially fatigue strength. This chapter summarizes the previous and ongoing investigations in the field of plasma nitriding of titanium alloys, with particular emphasis on the authors’ recent efforts in optimization of the process to achieve tribological improvements while maintaining mechanical properties. The development of low-temperature plasma nitriding treatments for α + β and near-β titanium alloys and further wear improvements by alteration of near-surface microstructure prior to nitriding are also briefly reviewed.",signatures:"Afsaneh Edrisy and Khorameh Farokhzadeh",downloadPdfUrl:"/chapter/pdf-download/49712",previewPdfUrl:"/chapter/pdf-preview/49712",authors:[{id:"176935",title:"Prof.",name:"Afsaneh",surname:"Edrisy",slug:"afsaneh-edrisy",fullName:"Afsaneh Edrisy"},{id:"176962",title:"Dr.",name:"Kora",surname:"Farrokhzadeh",slug:"kora-farrokhzadeh",fullName:"Kora Farrokhzadeh"}],corrections:null},{id:"49703",title:"Low-temperature Thermochemical Treatments of Stainless Steels – An Introduction",doi:"10.5772/61989",slug:"low-temperature-thermochemical-treatments-of-stainless-steels-an-introduction",totalDownloads:2160,totalCrossrefCites:5,totalDimensionsCites:8,hasAltmetrics:0,abstract:"Plasma technology used to perform thermochemical treatments is well established for the majority of steels, but it is not the case for the different stainless steel classes. Thus, important scientific and technological achievements can be expected in the coming years regarding plasma-assisted thermochemical treatment of such steels. The metallurgical aspects as well as the application cost-efficiency of stainless steels impose specific requirements for the thermochemical treatment, such as easy native chromium-rich oxide layer removal and surface activation at low temperature, which do not appear for other steel classes (plain, low-alloy, and tool steels). Thus, due to the highly reactive physicochemical environment created by the plasma, plasma-assisted technology presents advantages over other “conventional” technologies like those performed in gas or liquid environments. Low temperature is needed to avoid the reduction of corrosion resistance of stainless steels, by suppressing chromium carbide/nitride precipitation, and, in this case, good surface properties are achieved by the formation of treated layers containing metastable phases. Such attributes make the low-temperature plasma thermochemical treatments of stainless steels an important R&D field in the domain of plasma technology and surface treatments, and the goal of this chapter is to introduce the reader to this important topic.",signatures:"Rodrigo P. Cardoso, Marcio Mafra and Silvio F. Brunatto",downloadPdfUrl:"/chapter/pdf-download/49703",previewPdfUrl:"/chapter/pdf-preview/49703",authors:[{id:"176639",title:"Dr.",name:"Rodrigo",surname:"Cardoso",slug:"rodrigo-cardoso",fullName:"Rodrigo Cardoso"},{id:"176640",title:"Dr.",name:"Silvio Francisco",surname:"Brunatto",slug:"silvio-francisco-brunatto",fullName:"Silvio Francisco Brunatto"},{id:"176641",title:"Prof.",name:"Marcio",surname:"Mafra",slug:"marcio-mafra",fullName:"Marcio Mafra"}],corrections:null},{id:"49698",title:"Computational Studies of the Impulse Plasma Deposition Method",doi:"10.5772/61985",slug:"computational-studies-of-the-impulse-plasma-deposition-method",totalDownloads:1866,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"During the Impulse Plasma Deposition (IPD), plasma is generated in the working gas due to a high-voltage high-current discharge ignited within an inter-electrode region of a coaxial accelerator. The paper presents computational studies of working medium dynamics during the IPD discharge. The plasma has been investigated with a two-dimensional mono-fluidic snow plow model and a two-dimensional two-fluid magnetohydrodynamic code.",signatures:"Marek Rabiński and Krzysztof Zdunek",downloadPdfUrl:"/chapter/pdf-download/49698",previewPdfUrl:"/chapter/pdf-preview/49698",authors:[{id:"176688",title:"Dr.",name:"Marek",surname:"Rabiński",slug:"marek-rabinski",fullName:"Marek Rabiński"},{id:"176927",title:"Prof.",name:"Krzysztof",surname:"Zdunek",slug:"krzysztof-zdunek",fullName:"Krzysztof Zdunek"}],corrections:null},{id:"49643",title:"Physicochemical Analysis of Argon Plasma-Treated Cell Culture Medium",doi:"10.5772/61980",slug:"physicochemical-analysis-of-argon-plasma-treated-cell-culture-medium",totalDownloads:1923,totalCrossrefCites:1,totalDimensionsCites:6,hasAltmetrics:0,abstract:"The effects of cold plasma under atmospheric pressure are being explored for medical applications. It was found that plasma effects on cells correspond to a plasma–medium interaction; thus, plasma-treated cell culture medium alone is able to influence the cell behavior. Here, we discovered that the liquid-mediated effect of atmospheric-pressure argon plasma on mouse liver epithelial cells persists up to 21 days of storage; i.e., the liquid preserves the characteristics once induced by the argon plasma. Earlier investigations of our group revealed that temperature and pH, hydrogen peroxide production and oxygen content can be excluded as initiators of the detrimental biological changes. As we found here, the increased osmolality in the media caused by plasma treatment can also be excluded as a reason for the observed cell effects. Conversely, we found changes in the components of cell culture medium by fast protein liquid chromatography (FPLC) and decreased cell viability in plasma-treated media independent of the presence of fetal calf serum (FCS) during plasma treatment. The persistent biological effect on plasma-treated liquids observed here could open up new medical applications. Stable plasma-treated liquids could find application for dermatological, dental, or orthopedic therapy.",signatures:"Claudia Bergemann, Torsten Gerling, Cornelia Hoppe, Maryna\nKarmazyna, Maxi Höntsch, Martin Eggert and Barbara Nebe",downloadPdfUrl:"/chapter/pdf-download/49643",previewPdfUrl:"/chapter/pdf-preview/49643",authors:[{id:"48930",title:"Dr.",name:"Barbara",surname:"Nebe",slug:"barbara-nebe",fullName:"Barbara Nebe"},{id:"178339",title:"Dr.",name:"Claudia",surname:"Bergemann",slug:"claudia-bergemann",fullName:"Claudia Bergemann"},{id:"178340",title:"MSc.",name:"Cornelia",surname:"Hoppe",slug:"cornelia-hoppe",fullName:"Cornelia Hoppe"},{id:"178342",title:"Dr.",name:"Martin",surname:"Eggert",slug:"martin-eggert",fullName:"Martin Eggert"},{id:"178344",title:"Dr.",name:"Torsten",surname:"Gerling",slug:"torsten-gerling",fullName:"Torsten Gerling"},{id:"178345",title:"Dr.",name:"Maxi",surname:"Höntsch",slug:"maxi-hontsch",fullName:"Maxi Höntsch"},{id:"178347",title:"MSc.",name:"Maryna",surname:"Karmazyna",slug:"maryna-karmazyna",fullName:"Maryna Karmazyna"}],corrections:null},{id:"49662",title:"Non-thermal Plasma Technology for the Improvement of Scaffolds for Tissue Engineering and Regenerative Medicine - A Review",doi:"10.5772/62007",slug:"non-thermal-plasma-technology-for-the-improvement-of-scaffolds-for-tissue-engineering-and-regenerati",totalDownloads:2243,totalCrossrefCites:4,totalDimensionsCites:11,hasAltmetrics:1,abstract:"Non-thermal plasma technology is one of those techniques that suffer relatively little from diffusion limits, slow kinetics, and complex geometries compared to more traditional liquid-based chemical surface modification techniques. Combined with a lack of solvents, preservation of the bulk properties, and fast treatment times; it is a well-liked technique for the treatment of materials for biomedical applications. In this book chapter, a review will be given on what the scientific community determined to be essential to obtain appropriate scaffolds for tissue engineering and how plasma scientists have used non-thermal plasma technology to accomplish this. A distinction will be made depending on the scaffold fabrication technique, as each technique has its own set of specific problems that need to be tackled. Fabrication techniques will include traditional fabrication methods, rapid prototyping, and electrospinning. As for the different plasma techniques, both plasma activation and grafting/polymerization will be included in the review and linked to the in-vitro/in-vivo response to these treatments. The literature review itself is preceded by a more general overview on cell communication, giving useful insights on how surface modification strategies should be developed.",signatures:"Pieter Cools, Rouba Ghobeira, Stijn Van Vrekhem, Nathalie De\nGeyterand and Rino Morent",downloadPdfUrl:"/chapter/pdf-download/49662",previewPdfUrl:"/chapter/pdf-preview/49662",authors:[{id:"31411",title:"Prof.",name:"Nathalie",surname:"De Geyter",slug:"nathalie-de-geyter",fullName:"Nathalie De Geyter"},{id:"32004",title:"Prof.",name:"Rino",surname:"Morent",slug:"rino-morent",fullName:"Rino Morent"},{id:"171765",title:"Dr.",name:"Pieter",surname:"Cools",slug:"pieter-cools",fullName:"Pieter Cools"},{id:"180883",title:"Mrs.",name:"Rouba",surname:"Ghobeira",slug:"rouba-ghobeira",fullName:"Rouba Ghobeira"},{id:"180884",title:"Mr.",name:"Stijn",surname:"Van Vrekhem",slug:"stijn-van-vrekhem",fullName:"Stijn Van Vrekhem"}],corrections:null},{id:"50056",title:"Plasma-Enhanced Vapor Deposition Process for the Modification of Textile Materials",doi:"10.5772/62832",slug:"plasma-enhanced-vapor-deposition-process-for-the-modification-of-textile-materials",totalDownloads:2699,totalCrossrefCites:1,totalDimensionsCites:8,hasAltmetrics:0,abstract:"Nowadays many techniques are used for the surface modification of fabrics and textiles. Two fundamental techniques based on vacuum deposition are known as chemical vapor deposition (CVD) and physical vapor deposition (PVD). In this chapter, the effect of plasma-enhanced physical and chemical vapor deposition on textile surfaces is investigated and explained.",signatures:"Sheila Shahidi, Jakub Wiener and Mahmood Ghoranneviss",downloadPdfUrl:"/chapter/pdf-download/50056",previewPdfUrl:"/chapter/pdf-preview/50056",authors:[{id:"58854",title:"Dr.",name:null,surname:"Shahidi",slug:"shahidi",fullName:"Shahidi"},{id:"87913",title:"Prof.",name:"Jakub",surname:"Wiener",slug:"jakub-wiener",fullName:"Jakub Wiener"},{id:"176974",title:"Prof.",name:"Mahmood",surname:"Ghoranneviss",slug:"mahmood-ghoranneviss",fullName:"Mahmood Ghoranneviss"}],corrections:null},{id:"50348",title:"Laser-Produced Heavy Ion Plasmas as Efficient Soft X-Ray Sources",doi:"10.5772/63455",slug:"laser-produced-heavy-ion-plasmas-as-efficient-soft-x-ray-sources",totalDownloads:1903,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"We demonstrate extreme ultraviolet (EUV) and soft x-ray sources in the 2- to 7 -nm spectral region related to the beyond extreme ultraviolet (BEUV) question at 6.x nm and a water window source based on laser-produced high-Z plasmas. Strong emissions from multiply charged ions merge to produce intense unresolved transition array (UTA) toward extending below the carbon K-edge (4.37 nm). An outline of a microscope design for single-shot live- cell imaging is proposed based on a high-Z UTA plasma source, coupled to x-ray optics. We will discuss the progress and Z-scaling of UTA emission spectra to achieve lab-scale table-top, efficient, high-brightness high-Z plasma EUV-soft x-ray sources for in vivo bio-imaging applications.",signatures:"Takeshi Higashiguchi, Padraig Dunne and Gerry O'Sullivan",downloadPdfUrl:"/chapter/pdf-download/50348",previewPdfUrl:"/chapter/pdf-preview/50348",authors:[{id:"132255",title:"Dr.",name:"Padraig",surname:"Dunne",slug:"padraig-dunne",fullName:"Padraig Dunne"},{id:"176916",title:"Prof.",name:"Takeshi",surname:"Higashiguchi",slug:"takeshi-higashiguchi",fullName:"Takeshi Higashiguchi"},{id:"176946",title:"Prof.",name:"Gerry",surname:"O'Sullivan",slug:"gerry-o'sullivan",fullName:"Gerry O'Sullivan"}],corrections:null},{id:"49562",title:"Laser-Induced Plasma and its Applications",doi:"10.5772/61784",slug:"laser-induced-plasma-and-its-applications",totalDownloads:4816,totalCrossrefCites:12,totalDimensionsCites:26,hasAltmetrics:0,abstract:"The laser irradiation have shown a range of applications from fabricating, melting, and evaporating nanoparticles to changing their shape, structure, size, and size distribution. Laser induced plasma has used for different diagnostic and technological applications as detection, thin film deposition, and elemental identification. The possible interferences of atomic or molecular species are used to specify organic, inorganic or biological materials which allows critical applications in defense (landmines, explosive, forensic (trace of explosive or organic materials), public health (toxic substances pharmaceutical products), or environment (organic wastes). Laser induced plasma for organic material potentially provide fast sensor systems for explosive trace and pathogen biological agent detection and analysis. The laser ablation process starts with electronic energy absorption (~fs) and ends at particle recondensation (~ms). Then, the ablation process can be governed by thermal, non-thermal processes or a combination of both. There are several types of models, i.e., thermal, mechanical, photophysical, photochemical and defect models, which describe the ablation process by one dominant mechanism only. Plasma ignition process includes bond breaking and plasma shielding during the laser pulse. Bond breaking mechanisms influence the quantity and form of energy (kinetic, ionization and excitation) that atoms and ions can acquire. Plasma expansion depends on the initial mass and energy in the plume. The process is governed by initial plasma properties (electron density, temperature, velocity) after the laser pulse and the expansion medium. During first microsecond after the laser pulse, plume expansion is adiabatic afterwards line radiation becomes the dominant mechanism of energy loss.",signatures:"Kashif Chaudhary, Syed Zuhaib Haider Rizvi and Jalil Ali",downloadPdfUrl:"/chapter/pdf-download/49562",previewPdfUrl:"/chapter/pdf-preview/49562",authors:[{id:"176684",title:"Dr.",name:"Kashif Tufail",surname:"Chaudhary",slug:"kashif-tufail-chaudhary",fullName:"Kashif Tufail Chaudhary"},{id:"176867",title:"Dr.",name:"Syed Zuhaib",surname:"Haider Rizivi",slug:"syed-zuhaib-haider-rizivi",fullName:"Syed Zuhaib Haider Rizivi"},{id:"176868",title:"Prof.",name:"Jalil",surname:"Ali",slug:"jalil-ali",fullName:"Jalil Ali"}],corrections:null},{id:"49672",title:"Diagnostics of Magnetron Sputtering Discharges by Resonant Absorption Spectroscopy",doi:"10.5772/61840",slug:"diagnostics-of-magnetron-sputtering-discharges-by-resonant-absorption-spectroscopy",totalDownloads:2018,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"The determination of the absolute number density of species in gaseous discharge is one of the most important plasma diagnostics tasks. This information is especially demanded in the case of low-temperature sputtering discharges since the time- and space-resolved behavior of the sputtered particles in the ground state determines the plasma kinetics and plasma chemistry in this case. Historically, magnetron sputtering is often implied when talking about sputtering discharges due to the popularity and the numerous advantages this technique provides for coating applications. The determination of the absolute density of various atomic and molecular species in magnetron sputtering discharges along with its time and space evolution may be important from several points of view, since it may help to estimate the total flux of particles to a virtual surface in the plasma reactor, to compare the throughputs of two different sputtering systems, to use the absolute particle concentrations as an input data for discharge modeling, etc. This chapter is intended to provide an overview on the advantages and main principles of resonant absorption spectroscopy technique as a reliable tool for in situ diagnostics of the particle density, as well as on the recent progress in characterization of magnetron sputtering discharges using this technique, when the role of reference source is played by another low-temperature discharge. Both continuous and pulsed magnetron sputtering discharges are overviewed. Along with the introduction covering the main principles of magnetron sputtering, the description of the basics of resonant absorption technique, and the selected results related to the particle density determination in direct current and high-power pulsed magnetron sputtering discharges are given, covering both space- and time-resolved density evolutions.",signatures:"Nikolay Britun, Stephanos Konstantinidis and Rony Snyders",downloadPdfUrl:"/chapter/pdf-download/49672",previewPdfUrl:"/chapter/pdf-preview/49672",authors:[{id:"176901",title:"Dr.",name:"Nikolay",surname:"Britun",slug:"nikolay-britun",fullName:"Nikolay Britun"},{id:"176904",title:"Prof.",name:"Rony",surname:"Snyders",slug:"rony-snyders",fullName:"Rony Snyders"},{id:"176906",title:"Dr.",name:"Stephanos",surname:"Konstantinidis",slug:"stephanos-konstantinidis",fullName:"Stephanos Konstantinidis"}],corrections:null},{id:"49763",title:"A Technique for Time-Resolved Imaging of Millimeter Waves Based on Visible Continuum Radiation from a Cs-Xe DC Discharge — Fundamentals and Applications",doi:"10.5772/61843",slug:"a-technique-for-time-resolved-imaging-of-millimeter-waves-based-on-visible-continuum-radiation-from-",totalDownloads:1491,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The chapter presents a review of a highly sensitive technique for time-resolved imaging and measurement of the 2D intensity profiles of millimeter waves (MMW) based on the use of visible continuum radiation (VCR) from the positive column (PC) of a medium pressure Cs-Xe DC discharge (VCRD technique). The review focuses on the operating principles, fundamentals, and applications of this new technique. The design of a discharge tube and an experimental setup which were used to create a wide homogeneous PC plasma slab are described. The MMW effects on the plasma slab are studied. The mechanism of microwave-induced variations in the VCR intensity and the causes of violation of the local relation between the visible continuum emissivity and the MMW intensity are discussed. The main characteristics, e.g., spatial and temporal resolution, and sensitivity of the VCRD technique have been evaluated. Experiments on imaging of the field patterns of horn antennas and quasioptical beams demonstrated that the VCRD technique can be used for a good-quality imaging of the MMW beams in the entire MM-wavelength band. The VCRD technique was applied for imaging of output field patterns of the MMW electron tubes and determination of some of their characteristics, as well as for active real-time imaging and nondestructive testing using MM waves.",signatures:"Mikhail S. Gitlin",downloadPdfUrl:"/chapter/pdf-download/49763",previewPdfUrl:"/chapter/pdf-preview/49763",authors:[{id:"176811",title:"Dr.",name:"Mikhail",surname:"Gitlin",slug:"mikhail-gitlin",fullName:"Mikhail Gitlin"}],corrections:null},{id:"49564",title:"Optically Thick Laser-Induced Plasmas in Spectroscopic Analysis",doi:"10.5772/61941",slug:"optically-thick-laser-induced-plasmas-in-spectroscopic-analysis",totalDownloads:2314,totalCrossrefCites:0,totalDimensionsCites:2,hasAltmetrics:0,abstract:"Studies on the plasma physics has been grown over the past few decades as a major research field. The plasma can be produced by different sources such as acr, spark, electric discharge, laser and so on. The spectral radiation of the plasma which acts as its fingerprint, contains valuable information about plasma features. Characterization of plasmas by spectroscopic measurement is a powerful tool for increasing the knowledge and applications of these kinds of radiation sources. Therefore, the spectral diagnostics methods are proposed which are based on measurement of spectral lines intensity, estimation of continuous and absorption radiation, and as well as determination of shifts and halfwiths of the spectrum [1]. The fundamental characteristic parameters of the plasma, i.e., the number densities of plasma species, electron temperature, and as well as particle transport property at each plasma space can be determined by optical emission spectroscopy and utilizing appropriate methods [2]. For accurate evaluation of plasma parameters, its thickness must be thoroughly considered. Generally, the plasmas can be separated into two categories of thin and thick groups. In thin plasmas, the re-absorption of radiation is negligible. Consequently, in spectroscopic analysis, the non-self-absorbed spectral radiation is evaluated by considering the summation of all spectral emissions along the line of sight. In optically thick plasmas, the radiation trapping happens which leads to the self-absorption phenomenon in spectroscopic analysis that is explained with details in below section.",signatures:"Fatemeh Rezaei",downloadPdfUrl:"/chapter/pdf-download/49564",previewPdfUrl:"/chapter/pdf-preview/49564",authors:[{id:"176687",title:"Dr.",name:"Fatemeh",surname:"Rezaei",slug:"fatemeh-rezaei",fullName:"Fatemeh Rezaei"}],corrections:null},{id:"49629",title:"Industrial Applications of Laser-Induced Breakdown Spectroscopy",doi:"10.5772/61915",slug:"industrial-applications-of-laser-induced-breakdown-spectroscopy",totalDownloads:3156,totalCrossrefCites:3,totalDimensionsCites:8,hasAltmetrics:0,abstract:"Laser-induced breakdown spectroscopy (LIBS) is an analytical detection technique based on atomic emission spectroscopy to measure elemental composition. With the development of lasers and detection systems, applications of LIBS encompass a broad range, including physics, engineering, space missions, environment, etc. due to the unique features of little or no sample preparation, noncontact, fast response, and multielemental analysis. The fundamental and application have been extensively studied to improve LIBS technique. This chapter largely targets the engineering fields, especially practical applications. Laser-induced breakdown spectroscopy will be discussed in this chapter including its fundamentals, industrial applications, and challenges.",signatures:"Yoshihiro Deguchi and Zhenzhen Wang",downloadPdfUrl:"/chapter/pdf-download/49629",previewPdfUrl:"/chapter/pdf-preview/49629",authors:[{id:"176702",title:"Prof.",name:"Yoshihiro",surname:"Deguchi",slug:"yoshihiro-deguchi",fullName:"Yoshihiro Deguchi"},{id:"176892",title:"Dr.",name:"Zhenzhen",surname:"Wang",slug:"zhenzhen-wang",fullName:"Zhenzhen Wang"}],corrections:null},{id:"49655",title:"Electrical Discharge in Water Treatment Technology for Micropollutant Decomposition",doi:"10.5772/61830",slug:"electrical-discharge-in-water-treatment-technology-for-micropollutant-decomposition",totalDownloads:5027,totalCrossrefCites:32,totalDimensionsCites:44,hasAltmetrics:1,abstract:"Hazardous micropollutants are increasingly detected worldwide in wastewater treatment plant effluent. As this indicates, their removal is insufficient by means of conventional modern water treatment techniques. In the search for a cost-effective solution, advanced oxidation processes have recently gained more attention since they are the most effective available techniques to decompose biorecalcitrant organics. As a main drawback, however, their energy costs are high up to now, preventing their implementation on large scale. For the specific case of water treatment by means of electrical discharge, further optimization is a complex task due to the wide variety in reactor design and materials, discharge types, and operational parameters. In this chapter, an extended overview is given on plasma reactor types, based on their design and materials. Influence of design and materials on energy efficiency is investigated, as well as the influence of operational parameters. The collected data can be used for the optimization of existing reactor types and for development of novel reactors.",signatures:"Patrick Vanraes, Anton Y. Nikiforov and Christophe Leys",downloadPdfUrl:"/chapter/pdf-download/49655",previewPdfUrl:"/chapter/pdf-preview/49655",authors:[{id:"49112",title:"Prof.",name:"Christophe",surname:"Leys",slug:"christophe-leys",fullName:"Christophe Leys"},{id:"176861",title:"Dr.",name:"Anton",surname:"Nikiforov",slug:"anton-nikiforov",fullName:"Anton Nikiforov"},{id:"176862",title:"Mr.",name:"Patrick",surname:"Vanraes",slug:"patrick-vanraes",fullName:"Patrick Vanraes"}],corrections:null},{id:"49678",title:"Study of CO2 Decomposition in Microwave Discharges by Optical Diagnostic Methods",doi:"10.5772/61854",slug:"study-of-co2-decomposition-in-microwave-discharges-by-optical-diagnostic-methods",totalDownloads:2151,totalCrossrefCites:0,totalDimensionsCites:2,hasAltmetrics:0,abstract:null,signatures:"Tiago Silva, Nikolay Britun, Thomas Godfroid and Rony Snyders",downloadPdfUrl:"/chapter/pdf-download/49678",previewPdfUrl:"/chapter/pdf-preview/49678",authors:[{id:"176901",title:"Dr.",name:"Nikolay",surname:"Britun",slug:"nikolay-britun",fullName:"Nikolay Britun"},{id:"176904",title:"Prof.",name:"Rony",surname:"Snyders",slug:"rony-snyders",fullName:"Rony Snyders"},{id:"176902",title:"Mr.",name:"Tiago",surname:"Silva",slug:"tiago-silva",fullName:"Tiago Silva"},{id:"176903",title:"Dr.",name:"Thomas",surname:"Godfroid",slug:"thomas-godfroid",fullName:"Thomas Godfroid"}],corrections:null},{id:"49892",title:"Stochastic and Nonlinear Dynamics in Low-Temperature Plasmas",doi:"10.5772/62096",slug:"stochastic-and-nonlinear-dynamics-in-low-temperature-plasmas",totalDownloads:1845,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Low-temperature (LT) plasmas have a substantial role in diverse scientific areas and modern technologies. Their stochastic and nonlinear dynamics strongly determine the efficiency and effectiveness of LT plasma-based procedures involved in applications such as etching, spectrochemical analysis, deposition of thin films on substrates, and others. Understanding and controlling complex behaviors in LT plasmas have become a serious research problem. Modeling their behavior is also a major problem. However, models based on hydrodynamic equations have proven to be useful in their study. In this chapter, we expose the use of fluid models taking into account relevant kinetic processes to describe out from equilibrium LT plasma behavior. Selected topics on the stability, stochastic, and nonlinear dynamics of LT plasmas are discussed. These include the coexistence of diffusive and wave-like particle transport and delayed feedback control of oscillatory regime with relaxation.",signatures:"Aldo Figueroa, Raúl Salgado-García, Jannet Rodríguez, Farook\nYousif Bashir, Marco A. 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\r\n\tThe book “Correctional Facilities and Correctional Treatment - International Perspectives” will focus on current issues related to the correctional system in a broader international approach, revisiting some of the well-known problems that prison and community sentences embrace in different countries. The presentation of different correctional systems together with their underlying penal laws will help the reader to conceive how crime and criminals are approached globally.
\r\n\r\n\tThe book intends to revisit some of the typical prison problems (e.g., overcrowding, violence, mental health, drugs, sexuality, suicide, etc) in light of recent research, also providing international indicators of how recidivism is influenced by the way governments change their penal laws. The efficacy of correctional treatment programs and community-based programs on offenders’ recidivism rates will be also discussed. Studies concerning specific groups of the prison population – female prisoners, young prisoners, lifers, but also guards, and other staff members – will be considered to allow the implementation of tailored interventions.
\r\n\r\n\tFinally, the discussion about the future of the prison system and the alternatives related to community sentences or other diversion strategies will be considered, in light of corrections’ sustainability and under the therapeutic justice paradigm.
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The transmissibility and virulence of this virus quickly transformed it into the worst global pandemic of our generation. The viral pneumonia syndrome was then named coronavirus disease 2019 (COVID-19) by World Health Organization. The COVID-19 pandemic continues to be a major cause of mortality and economic impact throughout the world. It is predominantly a respiratory disease, with a range of presentations varying from asymptomatic to severe respiratory failure. SARS-CoV-2 is known to enter human cells through angiotensin-converting enzyme 2, which is expressed not only in the lungs but also in other organs, such as the cardiovascular system, thus explaining the wide range of symptom manifestations. Significant concerns relating to COVID-19 and the cardiovascular system have been highlighted, with COVID-19 inducing multiple cytokines and chemokines resulting in vascular inflammation, plaque instability, and myocardial inflammation. Several biomarkers have been studied that have related to COVID-19 progression as well as short-term mortality [1]. Cardiac biomarker and their elevation in COVID-19 have been studied and shown as a reflection of myocardial injury, hemodynamic stress, higher burden of cardiovascular disease, and worse prognosis [2]. Cardiac biomarkers have been suggested as possible aids for clinicians treating COVID-19 and understanding the severity of the disease and prognosis of patients. In this chapter, we will discuss the pathogenesis, role of specific cardiac biomarkers, and their use in the prognosis and management of COVID-19.
The COVID-19 pandemic ranks as one of the most devastating events of the 21st century. Since 2019, the virus has spread rapidly across the globe with a reported case burden of upwards of 219 million with 4.5 million deaths. The United States of America, India, and Brazil reported the highest mortality among countries across the globe. The Centers for Disease Control and Prevention (CDC) estimates put the total number of COVID-19 cases in the United States at 44 million with 709,000 deaths. There is emerging data regarding the incidence and prevalence of cardiac injury in COVID-19 infection. Systematic reviews and meta-analyses have shown wide-ranging results. One meta-analysis demonstrated a 19% prevalence of cardiac injury in total COVID-19 cases, with 36% prevalence in severe cases, and 48% prevalence in non-survivors. Another meta-analysis showed a cardiac injury prevalence of 7.2% in total COVID-19 survivors, and 77% in non-survivors. While further analysis needs to be carried out to establish a more accurate prevalence of cardiac injury in COVID-19 infection, the prevalence of cardiac injury tends to increase along with the severity of the infection and poorer prognosis.
The pathobiology of elevation of cardiac enzymes in patients with COVID-19 can be divided into two major categories: (1) direct damage to the heart by downregulation of ACE2, microvascular dysfunction, pericyte injury, and hypoxemia causing: myocarditis, heart failure, arrhythmias; and (2) indirect damage of cytokine storm by the release of cytokines, hyper inflammation, insulin resistance, coagulopathy causing: myocarditis, metabolic effect, thromboembolism. These are elucidated in Figures 1 and 2. Potential mechanisms of myocardial injury in COVID-19 include binding of the SARS-CoV2 virus to the endothelial angiotensin-converting enzyme 2 (ACE-2) receptor [3]. Given the low overall expression of angiotensin-converting enzyme 2 receptor in myocardial cells, the tropism of severe acute respiratory coronavirus 2 for the heart may be less likely. Myocardial injury has been reported in 36% patients hospitalized with COVID-19. Although clinical COVID-19 cases with myocardial injury and normal coronary arteries have been thought to be caused by myocarditis, ST-segment elevation myocardial infarctions (STEMI) may be caused by extensive microvascular thrombosis in the absence of epicardial coronary obstruction. On the other hand, indirect injury can occur as a consequence of a proinflammatory state, stress cardiomyopathy, and tachyarrhythmia attributable to endogenous or exogenous adrenergic stimulation. Systemic infections such as pneumonia have a profound effect on the cardiovascular system, including an increase in oxygen consumption and coronary plaque vulnerability. Myocardial involvement caused by cytokine storm or cardiomyocyte apoptosis triggered by excessive intracellular calcium in response to tissue hypoxia constitutes the indirect response of COVID-19 [4]. Myocardial ischemia occurs in the setting of shock, prolonged tachycardia, or severe respiratory failure, known as type 2 acute myocardial injury (AMI) or acute atherothrombosis, known as type 1 AMI. Type 1 myocardial infarction occurs in the setting of atherothrombosis, which may be triggered by a proinflammatory and prothrombotic state. Type 2 myocardial infarction is most likely in patients with prolonged oxygen supply or demand imbalance with hypoxia, hypotension, or tachycardia. Finally, both myocarditis and takotsubo syndrome have been reported in patients with confirmed COVID-19 and in those without COVID-19 who had experienced severe anxiety due to the pandemic or with concomitant infections.
Cardiac phenotypes of manifestations of COVID-19.
Mechanisms of cardiac Injury of COVID-19 with clinical sequelae.
Cardiac troponin (cTn) is a well-studied and commonly used marker of cardiovascular disease. Troponin is a calcium-regulatory protein for the calcium regulation of contractile function in skeletal and cardiac muscles. Troponin is a complex of three different subunits, troponins C, I, and T, which share characteristic functions of troponin, such as the binding of Ca2+ (troponin C), the inhibition of actomyosin interaction (troponin I), and the binding to tropomyosin (troponin T). Troponin is nearly undetectable in unaffected muscle, but troponin levels rise several hours after the onset of myocardial injury. Elevated levels of troponin have been used as a widely accepted marker of cardiac injury. It is detectable up to 10 days after the onset of injury. The degree of elevation of troponin also gives prognostic information on the subsequent outcome as seen in Figure 3. Cardiac troponin I levels of 1.0 μg/L or higher or cardiac troponin T levels of 0.1 μg/L or higher are considered elevated. Circulating cTn is a marker of myocardial injury, including but not limited to myocardial infarction or myocarditis. There has been growing evidence of higher mortality rates among patients among those patients with underlying cardiovascular disease. The values of cardiac troponin and its elevations above normal concentrations in a patient with COVID-19 should be seen as the combination of the presence or extent of pre-existing cardiac disease and the acute myocardial injury related to COVID-19 and its complications. It further acts as a quantitative marker of this injury. It has been proposed that there are three phases of troponin elevation: first, when cardiac troponin increases mostly reflect ongoing comorbidities, commonly seen at the time of are admission; second, with a critical illness like ARDS; third, specific COVID-19 complications such as pulmonary embolism, stroke, endothelitis and myocarditis. Patients with COVID-19 admitted to the hospital, at 30-day follow up with higher cTn (concentrations greater than ≥21 ng/L) have been associated independently with a higher risk of all-cause mortality. Cardiac troponin elevations, even in small amounts (≥21 ng/L) provide a better prediction of 30-day all-cause mortally and severe course of the disease than other commonly used biomarkers for inflammation including C-reactive protein (CRP), lactate dehydrogenase (LDH), and D-dimer. Furthermore, greater elevations (cTn > 90 ng/L) correlate with higher risk of death than small concentrations (cTn > 30–90 ng/L). Patients with cTn concentrations in the third centile had about six times the all-cause mortality as well as cardiovascular mortality as compared to patients in the first tertile. Higher troponin concentrations are also related to a higher risk of death within 30 days as well as 2 years. Concentrations remained in the normal range in the majority of survivors. High sensitivity troponin I (hs-TnI) is a newer, more sensitive marker of disease progression and mortality in patients with cardiac disease [5]. It was established to be a better marker than those used to determine generalized inflammation including D-dimer and lymphocyte count. Raised hc-TnI in patients admitted with COVID-19 has also been showed to correlate with increased requirements of invasive as well as non-invasive ventilation, development of acute respiratory distress syndrome (ARDS) as well as acute kidney injury (AKI). Studies revealed that the elevated hs-TnI levels were closely correlated with the prognosis and mortality risk of COVID-19 patients. Specifically, the mortality risk increased by 20.8% when the hs-TnI level increased by 1 unit in one such study. However, it is noteworthy to remember that elevated levels are common in hospitalized patients, and are most commonly in the setting of type 2 myocardial infarction (myocardial oxygen supply-demand imbalance) or non-ischemic causes of myocardial injury. Marked elevations of cardiac troponin in patients without critical illnesses such as ARDS, may indicate the presence of takotsubo syndrome, myocarditis, or type 1 AMI triggered by COVID-19. In the absence of symptoms or electrocardiographic changes suggestive of type 1 acute myocardial injury, imaging studies including echocardiography and/cardiac magnetic resonance should be considered to detect left ventricular systolic dysfunction as a new and treatable condition. Patients with symptoms suggestive of type 1 AMI should be treated according to European Society of Cardiology (ESC) guidelines irrespective of COVID-19 diagnosis or suspicion. These patients should undergo rapid coronary angiography under specific catheter personnel. Patients with COVID-19 or other pneumonia who are critically ill with septic shock or ARDS, even marked cardiac troponin elevations are much more likely the consequence of critical illness. The recognition of myocardial injury with elevated cardiac troponin and hs-TnI, given its sensitivity as an early and precise marker of end-organ dysfunction, can prompt timely triage to a critical care unit and informs the measures to improve tissue oxygenation and perfusion with the use of inotropes and vasopressors. Further research is required to elucidate the value of cardiac troponin and high sensitivity troponin I in COVID-19.
Relationship of troponin T and expected probability of death.
Creatine Kinase (CK) is an intracellular enzyme present primarily in skeletal muscle, myocardium, and brain. Disruption of cell membranes due to hypoxia or other injury releases CK from cytosol to systemic circulation. CK is a dimeric molecule composed of 2 subunits, namely M and B. Combinations of these subunits form the isoenzymes CK-MM, CK-MB, and CK-BB. A significant concentration of CK-MB isoenzyme is found almost exclusively in the myocardium, and therefore elevations in CK-MB levels in serum is highly specific and sensitive for myocardial injury. Normal reference values for CK-MB range from 3 to 5% of total CK, or 5 to 25 IU/L. Creatine Kinase as a marker of myocardial injury has been largely replaced by troponin in clinical practice. As with troponins, several mechanisms explain the elevated cardiac markers in severe COVID-19: viral myocarditis, cytokine-driven myocardial damage, microangiopathy, and unmasked CAD. Myocardial ACE2 receptors are targets for SARS-CoV-2. A hypothesis is that SARS-CoV-2 induces indirect cardiovascular injury through activation of the immune system. The virus attaches to the pattern recognition receptors (PRRs), that initiate host-immune defense. This host-immune defense system, in turn, induces inflammatory reactance that culminates in a cytokine storm. The cytokine storm is caused by the release of reactive oxygen species (ROS), endogenous nitric oxide (NO), and damage-associated molecular proteins (DAMPs) by the injured myocardium that ultimately leads to myocardial injury. Cytokines and host-immune dysregulation cause direct and indirect cardiac injury, leading to an increase in troponin and CK-MB. A meta-analysis showed that when compared with mortality, COVID-19 patients who died had significantly higher biomarkers, including CK-MB. Another meta-analysis showed that there was a significantly higher CK level in patients who died compared to patients who survived, whereas the patients who were critically ill did not have significantly higher CK levels compared to the patients who were not critically ill.
Natriuretic peptides represent a change of intracardial pressure, especially atrial pressure, and thus is also used as an important cardiac function indicator. These include Brain-type natriuretic peptide (BNP), NT-proBNP, and mid-regional pro atrial natriuretic peptide. Nartiuretic peptides are trigger by hemodynamic stress and heart failure, intracardiac filling pressures, end diastolic wall stress, and hypoxemia. In patients who are not critically ill, BNP/pro-BNP elevations have a high positive predictive value for heart failure. However, in patients who are critically ill, the elevations are likely in the presence of hemodynamic stress and heart failure. Several studies have identified heart failure as a significant manifestation of COVID-19. Heart failure in COVID-19 patients is postulated to occur as a result of the severe immune system reaction and cytokine storm [6, 7]. The virus downregulates the angiotensin-converting enzyme 2 (ACE2), leading to increased levels of angiotensin II. Further, this causes increased inflammation, thrombosis, and hypertension. Abnormalities NT-proBNP, were associated with higher in-hospital mortality in all patients and in severe patients. Studies were done to estimate the cumulative in-hospital mortality among patients severe COVID-19 patients. The mortality rates were the highest with elevated hs-cTnI and NT-proBNP, followed by elevated NT-proBNP and normal hs-cTnI, elevated hs-cTnI and normal NT-proBNP, and normal hs-cTnI and NT-proBNP. The combination of these two cardiac markers together was found to be more valuable than cardiac troponin alone in determining the prognosis of COVID-19 patients. There has been one retrospective study that reported a correlation between first and peak BNP values to predict the need for mechanical ventilation and mortality respectively. Pro-BNP levels elevated above 167.5 pg./mL are associated with an increased risk of mortality in patients receiving mechanical ventilation. Furthermore, along with the strong association of mortality in patients admitted to the hospital with COVID-19, the elevation of natriuretic peptides could be used as an early indicator for the presence of left and right ventricular systolic dysfunction independently. Identification of ventricular systolic dysfunction, if a treatable dysregulation, will help in decreased mortality and improved outcomes in patients.
ADM is a multipotent regulatory peptide with several biological activities including vasodilator, positive inotropic, diuretic, natriuretic, and bronchodilator. It is widely expressed throughout the body, including bone, adrenal cortex, kidney, lung, blood vessels, and heart. ADM is even present in pulmonary pneumocytes type 2, smooth muscle cells, neurons, and immune cells. It is upregulated by hypoxia, inflammatory cytokines, bacterial products, and shear stress. As ADM measurement is complicated, mid-regional proadrenomedullin (MR-proADM) is being considered as an estimate of ADM [8, 9, 10]. High levels of MR-proADM are reported in septic patients. These have been shown to be particularly specific in prognostic value, not only for early diagnosis in the context of patients initially presenting to the Emergency Department (ED) but also for risk stratification and prognosis in critically ill patients in Intensive Care Units (ICU). A study from Italy in 2020 aimed to describe the utility of MR-proADM as a prognostic biomarker in severe COVID-19 infection. Fifty seven patients who were admitted to the ICU with COVID-19 infection were studied. Multivariate logistic regression models demonstrated that MR-proADM was an independent predictor of mortality [11].
Growth differentiation factor 15 (GDF-15) is a member of the transforming growth factor β superfamily and is widely distributed in low concentrations in most organs [12]. Physiological GDF-15 concentrations increase with age, while the expression is upregulated in pathological states through several pathways that mediate damage to the heart, lungs, liver, and kidneys including inflammation, oxidative stress, and hypoxia. Elevated concentrations of circulating GDF-15 have been identified in multiple disease entities like CVD, sepsis, cancer, and diabetes. GDF-15 levels seem to be a robust predictor of disease progression.
A clinical trial from Norway in 2020 looked at the value of GDF-15 as a biomarker in 123 patients admitted with COVID-19, GDF-15 was elevated in 80% of patients hospitalized with COVID-19, and higher concentrations were associated with SARS-CoV-2 viremia, hypoxemia, and worse clinical outcome. Moreover, GDF15 concentrations were more closely associated with poor outcomes than established biomarkers in COVID-19, including cTnT, NT-proBNP, CRP, and D-dimer. Greater increases in GDF-15 during hospitalization were also independently associated with worse outcomes.
The prognostic role of cardiac markers in patients hospitalized with COVID-19 is remarkably similar to those in patients with viral pneumonia due to influenza, as well as for pneumonia and ARDS in general in addition to certain unique characteristics. Increased concentrations of cTn, hs-TnI, pro-BNP have been showed to have a correlation with increased mortality and severity of COVID-19 pneumonia [13]. Mild elevations in cardiac troponin concentrations, particularly in older patients with pre-existing cardiac disease, are often explained by the combination of known or unknown pre-existing cardiac disease and acute myocardial injury related to COVID-19 or any pneumonia [14, 15]. It is imperative to be aware of the potential use of anticoagulants and anti-cytokine therapies as conceivable therapeutic options, which need to be further explored in clinical trials. In such cases, when there is evidence of cardiac injury as indicated by elevated troponins, possibilities such as myocardial microthrombi should be considered. In patients with established or suspected COVID-19 normal hs-cTnT/I and BNP/NT-proBNP concentrations, of course always in conjunction with vital parameters including pulse oximetry, can reassure physicians that outpatient management is feasible [16]. These insights can help overcome the limitations in determining the prognosis and stratification of patients as well as predicting their mortality. The cardiovascular system has been shown to be a major contributor to the proportion of deaths classified as “non-cardiovascular” by current classification schemes. An example of this is severe sepsis, mortality rates of which have a high contribution from dysfunction of the cardiac system, determined by the enzymes discussed above. Various other cardiac and vascular biomarkers are being studied in ongoing COVID-19 research. An example of this is the emerging data that growth differentiation factor 15 (GDF-15), a member of the transforming growth factor β superfamily that is released by stress due to change in hemodynamics as well as inflammation has better prognostic accuracy than established biomarkers in patients with COVID-19.
Cardiac troponin provides incremental prognostic information, only in addition to other routinely available variables. These include vital signs, clinical judgment, and other inflammatory markers such as C-reactive protein and D-dimer. Moreover, the increased implementation of these markers, such as elevated cardiac troponin in routine practice might result in inappropriate diagnostic and therapeutic interventions [17]. For example, some clinicians may elect to perform a coronary angiography in the setting of an isolated cardiac troponin elevation. These elevations would likely be in the setting of supply-demand imbalance, and less likely due to type 1 acute myocardial injury. These increased interventions also serve as a possible cause for increased harm to patients as well as the medical care team due to increased exposure to COVID-19 patients. Even non-invasive investigations may be associated with the harm caused due to the risk associated with unnecessarily transporting critically ill patients through the hospital. Hence, firm indications for testing are advocated for [18]. However, when appropriate indications are present, one should not withhold essential evaluations. There is concern that measuring cardiac troponin during the initial blood sampling in the ED may delay patient disposition, as elevated levels require additional investigation, and possibly consultation. In patients with COVID-19 and patients with ARDS, there is currently no evidence that any intervention triggered by an elevation in cardiac troponin concentration will have an impact on patient outcomes.
As we continue to learn about COVID-19 and its cardiac consequences, widespread use of cardiac markers in routine clinical practice will increase large datasets leading to better clinical characterization, cardiac imaging, and follow up leading to a better understanding of the pathophysiological mechanisms leading to cardiomyocyte injury in COVID-19. As blood tests are routinely done on patients hospitalized with COVID-19, cardiac biomarkers are easy, cost-effective and accessible method of screening for cardiac complications of COVID-19 and determining the overall prognosis of COVID-19 patients.
In patients with COVID-19 presenting with chest discomfort or dyspnea, cardiac troponin, myoglobin, natriuretic peptides, help physicians in the initial assessment.
Small increases in cardiac troponin concentrations are frequently seen and have multiple causes including myocardial oxygen supply-demand mismatch, myocarditis, and a systemic inflammatory response syndrome.
Compared with other biomarkers, elevated peak troponin I had the greatest predictive value for mortality associated with COVID-19.
If there is clear evidence of myocardial ischemia considering all available evidence, patients should be managed as acute coronary syndromes.
Cardiac troponin, creatinine kinase, and natriuretic peptide are indicated as valuable tests in patients with worsening COVID-19.
Attributed to Werner Heisenberg (1901–1976).
The material presented in this chapter is based on the new approaches of relativistic and quantum mechanics developed in the works [1, 2, 3, 4]. Equations, which are obtained by applying the invariance principle for the total four-dimensional momentum of the system “field + particle,” have some significant advantages as compared with its analog equations such as the Klein-Fock-Gordon and Dirac equations. For instance, the problem of a hydrogen-like atom has solutions for an arbitrary value of the interaction constant not restricted to whatever the atomic number of the nucleus (we recall that for the Dirac equation the atomic number is restricted to Z < 137).
In contrast to the well-known equations of relativistic and quantum mechanics, the energy levels of the ground state of the particle for the considered equation prove to be limited by the size of the spatial characteristic. This property directly reflects the uncertainty principle in that, irrespective of the well depth value, the particle can be localized in a bound state only if the well width is larger than the half-wavelength of the particle.
For the problem of the passage of a particle through a potential barrier, if the energy of the particle does not exceed the height of the potential barrier, then the transmission coefficient is equal to zero regardless of the height of the barrier. In this case, there is no contradiction like Klein’s paradox.
The equations are applicable for different types of particles and interactions. The analysis of the solutions shows full compliance with the principles of relativistic and quantum mechanics, and the solutions are devoid of any restrictions on the nature and magnitude of the interactions.
However, this new theory was presented without an explicit representation of the spinor properties of fields and systems (Table 1). In this chapter, based on the representation of local relativistic rotation by the Lorentz transformation matrix, the representations of the four-dimensional energy-momentum vector for various spinor fields and systems, the results of corresponding solutions of the new equations of relativistic and quantum mechanics are given.
Representation of the generalized momentum | |
---|---|
Invariant of the generalized momentum | |
Space-time interval | |
Hamilton-Jacobi relativistic equation | |
Hamilton-Jacobi-Einstein equation | |
Klein-Fock-Gordon equation | |
Klein-Fock-Gordon equation in metric spaces | |
Dirac equation in 1/2 spin spaces | |
Since within the framework of the new, generalized relativistic theory, there is an exact correspondence between the representations of relativistic, quantum mechanics, and general relativity, in the chapter spinor properties and equations are also presented in metric spaces.
Although in physics the concept of spin arose as a property of the proper rotation of a particle (electron, G. E. Uhlenbeck, S. Goudsmit), as a result of quantization of the self-angular momentum, further development by W. Pauli and P. Dirac led to the description of spin as a property of space itself, in which we describe particles. Their interactions corresponded to the data of the physical experiment, when they were presented in spinor spaces.
One of the first, the Dirac equation, which describes systems in spaces with spin 1/2, the solution in the case of the hydrogen atom gives a very good match with the real spectrum of the hydrogen atom. But the hydrogen atom problem (Figure 1),
The problem of the motion of two bodies can be represented as a problem of the motion of one body.
which consists of a proton and an electron, is solved for a generalized particle with the reduced mass
Obviously, Dirac’s spin 1/2 refers to the properties of the space in which the hydrogen atom is described, not to an electron, a proton, or a hydrogen atom. Similarly, regardless of the spin of the nucleus and the spin of the electron shell of hydrogen-like atoms, the spectrum, and fine splitting is described by solving the Dirac equation with spin 1/2. The same is true for other problems, regardless of the properties of the components of the physical system themselves—solutions to the Dirac equations describe systems with only a spin of 1/2.
Naturally, the spinor properties of space do not in any way describe the physical properties of the self-angular momentum of a particle or a vortex (turbulent) field (the flow of a liquid or gas) in the classical sense, and therefore, the statement arose that spin has no classical analog (Figure 2). And the problem of describing the self-angular momentum of the particles and the vortex field remained unresolved.
The concept of spin in quantum mechanics does not describe the physical properties of the vortex motion or proper rotation of bodies in the classical sense.
Note that the description of the motion of an asymmetric spinning top, represented by the tensor of the moment of inertia, has no analog in quantum mechanics since the modern concept of spin does not imply any representations of the concept of the moment of inertia (Figure 2). But in the case of nonspherical nuclei (Figure 3), the projection of the self-angular momentum must have different spin values relative to the main axes of inertia (rotation) of the nucleus.
The projections of the self-angular momentum (spin) of nonspherical nuclei have different values in the directions of the main axes of inertia.
The main, fundamental physical variable, for which the variational principles and equations of relativistic and quantum mechanics are formulated, is the energy-momentum density 4-vector, so all the properties of the system, also spinor, must be initially reflected in the representation of the energy-momentum 4-vector
Imagine holding a bicycle wheel by the axle at a distance
Bicycle wheel at a distance
Since the wheel rotates freely around its axis, there is no moment of own rotation of the wheel itself, and it makes an only translational motion (movement without its own rotation). Energy
If there is any friction of the axle, then the rotational motion of the axle will gradually be transmitted to the wheel and eventually, the wheel will rotate with the same angular speed. Note that in this case, we considered the option of a rigidly fixed axis (rigidly fixed center of mass) wheel. This corresponds to a rigid spin-orbit interaction when the angular velocities of rotation are the same.
In this case, the energy is equal to the sum of the kinetic energy of the wheel and the energy of the wheel’s own rotation with the moment of inertia
In other cases, in terms of energy, there will be other ratios of translational energy and energy of its own rotation (spin). In particular, the motion of the Moon corresponds to the case of a rigidly fixed center of mass (the Moon is constantly facing the Earth on the same side), and the movement of the Earth around the Sun corresponds to the case of a freely fixed center of mass (the tilt of the axis, the period of its own rotation is in no way related to the movement around the Sun).
Note that regardless of the distance from the center of rotation, the angular velocity of its own rotation and energy is constant. If the system is represented as a medium with distributed local rotation, then it can be described by the energy density of vortex rotation with an angular velocity
To illustrate the vortex motion of the distributed systems, let us consider an example of a large, thin hard disk on which much identical small metal (heavy) spinners of mass
Spinners of mass
In the case when the spinners have some small axial friction (like the spin-orbit interaction of an electron in an atom or the connection of the moon’s rotation with the Earth’s rotation due to tides), then when the disk rotates, due to friction, after some time the spinners will begin to rotate around its own axis and with the angular speed of rotation of the disk
Spinners rotate around their axis with the angular velocity of the disk
If we stop the rotation of the disk in such an established stationary state, then the energy of the orbital motion of the spinners will be reset, but the energy of its own rotation
The spinners keep spinning after the disk has stopped.
The picture, obtained after stopping the disk, represents a distributed system with local vortex motion. Regardless of the distance from the center of the disk, the angular velocity of rotation and energy of the spinners are constant. If the system is represented as a medium with distributed local rotation, then it can be described by the energy density of vortex rotation with an angular velocity
Let us emphasize that although the described system does not have orbital momentum, the generalized angular momentum and the total energy of the system are not zero and have minimal internal angular momentum and energy. It should be noted that in the ground state, both the angular momentum and the energy of the system have corresponding minimum values due to the internal rotation—spin.
A good example of such a system is a permanent magnet, where eddy currents (rotating electric field) and, accordingly, the magnetic field of these currents (rotating electric field) exist at each point of the medium (Figure 8).
Eddy currents and magnetic field exist at each point of the medium.
Vortex and circular fields should be distinguished: in vortex fields, the rotor is nonzero at any point in the field, and in circular fields, it is zero (Figure 9). Such is the electric field outside the alternating current solenoid, where the magnetic field is zero.
Vortex and circular fields of the solenoid.
A time-varying magnetic field in the solenoid generates, induces an electric field
where
For the fields of the solenoid, we have
Inside the solenoid, the electric field is vortex –
When representing continuously distributed systems, one should average the energy of the spinners over the occupied volume and describe the continuous medium with the energy-momentum distribution density.
If we want to describe the spatial properties of the vortex fields, then rotation angular velocity
For fields, we have [6]
where
where a Lorentz transformation has a form [1].
The matrices of the invariant representation of a four-dimensional vector, which preserves the vector module in four-dimensional space, form the Poincare group (
In the case of a vortex field, each point can be attributed to a local rotation with an angular velocity
were
where
Averaging over the entire volume to the event horizon
Based on the principle of superposition and additivity, such elementary excitations of the generating field in a unit of volume can be any integer, so that in the general case
where is a
Rotation along the selected axis generates two equal perpendicular spatial components with half-integer coefficients.
Accordingly, taking into account the independent rotations in all axes, for the matrix of the spinor representation we have
Thus, the spinor, the averaged Lorentz transformation for local rotations, is represented by a diagonal matrix or column as
The index symbols of the components of the matrix are specifically selected to indicate from rotation around which axes these components originated:
Negative signs of the projections of the spinor matrix
where
If a scalar field
If for qualitative evaluation, we assume that the energy of such elementary excitation corresponds to the quantum of the rotator energy
that is, the event horizon radius (“particle size”) is the wavelength of the particle
Since the spin of the field has been determined locally, its direction from point to point can change, provided that the internal structure is preserved. The spinor field, as in the general case of any vector potential
Spin is invariant from the point of view of general relativity since it does not depend on the state of motion—the speed and rotation of the reference frame, in which we describe the spinor field.
The spinor properties of fields are unchanged and do not depend on the method and sources of their creation. For each case of motion of a particle in a given field, the spinor properties of the field are determined by the physical nature of the field itself. Spin is a fundamental, unchanging characteristic of the field. Whichever way it is created, it will be with the same back.
Spin in the expression of potential energy describes the system of particle + field, the spinor properties of which are described by the above expressions, regardless of which components are included in the system. The new field of interaction is also represented by one of the above configurations. Whether the spinor field of interaction is a simple sum of spinor fields or another configuration can be found by comparing with experimental data. For each system, a spin configuration should be selected so that the results of the calculation coincide with the experimental data or with the already known characteristics of the system.
The spin of the nucleus and the presence of other electrons with their spins do not determine the spin of the electromagnetic field created by it in atoms. Fine splitting, which directly depends on the spin of the interaction field, does not depend on the spin of the nuclei and electron shell of the atoms. For example, the value of fine splitting of isotope atoms Potassium 39K, 41K, and 40K with spines 3/2, 3/2, and 4; Rubidium 87Rb and 85Rb with spines 3/2 и 5/2; Hydrogen 1H, 2H, 3H with spines 1/2, 1, 1/2 [7].
Also in the solar system, the spin of the gravitational field does not depend on the positions of celestial bodies and their rotation.
Saying that a particle has spin, within the framework of the foregoing, means that the particle has a spinor field, and this property manifests itself at any point in space during any interactions. Spin is a spatial characteristic and is not attributed to any point particle. Therefore, the spin of elementary particles is not determined by their internal structure, but is determined by the spin of the interaction fields created by these particles. The phrase “spin-orbit interaction” in this case means the interaction of the orbital moment with the spinor field.
The spin of an electromagnetic wave with potential
and must satisfy the condition
(1/2, 1/2, 0) | 1/2 | 1/2 | (2, 1, 0) | 5 | –4 |
(1, 0, 0) | 1 | 0 | (3/2, 3/2, 1) | 11/2 | −9/2 |
(1, 1/2, 1/2) | 3/2 | −1/2 | (2, 1, 1) | 6 | −5 |
(1, 1, 0) | 2 | −1 | (5/2, 1/2, 0) | 13/2 | −11/2 |
(3/2, 1/2, 0) | 5/2 | −3/2 | (2, 3/2, 1/2) | 13/2 | −11/2 |
(1, 1, 1) | 3 | −2 | (5/2, 1, 1/2) | 15/2 | −13/2 |
(3/2, 1, 1/2) | 7/2 | −5/2 | (2, 2, 0) | 8 | −7 |
(2, 0, 0) | 4 | −3 | (5/2, 3/2, 0) | 17/2 | −15/2 |
(3/2, 3/2, 0) | 9/2 | −7/2 | (2, 3/2, 3/2) | 17/2 | −15/2 |
(2, 1/2, 1/2) | 9/2 | −7/2 | (3, 0, 0) | 9 | −8 |
(2, 1, 0) | 5 | −4 | (2, 2, 1) | 9 | −8 |
Possible structures and invariants for spinor fields (component signs are arbitrary).
where n is the unit vector in the direction of wave propagation.
For a monochromatic wave propagating in the direction of the axis
For transverse waves of other fields, you can select one-component structures with other integers in the form
For solenoidal magnetic fields having cylindrical symmetry, we have
For the potential in the form of
The spinor field of this potential can have different structures and invariant values
Adding spinor fields in the equations of relativistic and quantum mechanics for a particle in an external field (Table 1) is not associated with any difficulties, since the spin properties of the field are clearly represented as the vector potential of interaction
Accordingly, the Hamiltonian of the system can be represented as an expression (4)
By presenting momentum as
and we see that the angular momentum and energy of the particle in the ground state have additional angular momentum and spin state energy. And the expression
If other external fields are present, such as a field with a vector potential
The Hamiltonian of the system can be represented as
By presenting momentum as
Let us consider the motion of a particle with the mass
Choosing the polar coordinates
Let us represent the action
where
and
We find trajectories from the condition
which results in the solution
The secular shift for the gravitational field (23) with
For the Schwarzschild metric, the formula is:
For a photon whit energy
Choosing the polar coordinates
In this case, we used the choice of special directions of the spins of the particle and the field when
Let us represent the action
where
We find trajectories from the condition
The photon deflection is calculated by the formula
For the Schwarzschild metric, the formula is:
For the problem of a hydrogen-like atom without external fields, we have [4].
For the radial part of the solution get
Energy levels of the hydrogen atom are (Figure 11a)
Fine splitting structures.
The fine splitting value
The ground states are
Ground state with
From the Dirac equation with
The fine splitting value
The ground states are (Figure 11a)
Ground state with
As we can see, the magnitude of the spin-orbit interaction is obtained with a reverse sign and is twice as large as the relativistic splitting of the electron energy levels, which leads to a shift and a change in the order of the splitting levels (Figure 11a).
Dirac’s solution prompt that if 1/2 is added to the orbital momentum
For the hydrogen atom problem in a constant homogeneous magnetic field
where
As we can see, the splitting of levels in a constant magnetic field due to the linear dependence on the field
On hyperfine splitting: why when an electron interacts with nuclear spin, there are only two levels, and a complex structure manifests itself only in the external magnetic field (Figure 12).
Theoretical magnetic field dependence of
As has been shown in solutions to the hydrogen-like atom problem for spinor fields, the magnitude of the spin-orbit interaction
The representation of the equations of relativistic and quantum mechanics in metric spaces means that coordinate transformations have been proposed that bring the equations from Table 1 to equations with a constant, unit invariant on the right part
For clarity, consider the problems with spherical symmetry. For the Hamilton-Jacobi equation in spherical coordinates we have
and after the coordinates are transformed
To do this, divide the Eq. (56) by
and we immediately find an implicit transformation for
and
It is convenient to choose a new coordinate system associated with a particle, where the velocity is zero
and we get
Note that if the
For an invariant in the form
From (43), (67), we get
If the field is spinor with invariant
and
For a magnetic field with invariant
and we get (
The results of the metric representations are easily portable to represent the space-time interval (it should be noted that for the space-time interval, the metric tensor is inverse). For example, for a gravitational field with a potential
and the wave equation in cylindrical and spherical coordinates (
For more complex cases, we will only point out that first, you need to convert the coordinates to bring the expression of the invariant to a diagonal (spherically or cylindrically symmetric) form, and then transform the resulting equation and invariant in the above way.
If an equation is given in metric space that has spherical symmetry, it is easy to perform inverse transformations and find the corresponding invariant (field) from (59), (64)
Within the framework of developed approaches, there is an exact correspondence of representations of equations in metric spaces. This is important because it is possible to unambiguously find out which fields correspond to given metric spaces and vice versa.
Naturally, all solutions of equations in metric spaces correspond to solutions of the original equations of relativistic and quantum mechanics having corresponding trajectories of motion and describing the quantum properties of systems.
From the point of view of general relativity, the gravitational field is universal, and all physical processes are described already in metric space. In general, the equations can be represented as follows:
where
After the appropriate conversion
For example, if a hydrogen-like atom is in a constant homogeneous gravitational spinor field
A constant homogeneous gravitational field changes the scale of the coordinates by a constant coefficient.
Spinor representation of the generalized energy-momentum density 4-vector is proposed, based on the representation of local relativistic rotation by the Lorentz transformation matrix. This representation corresponds to the classical representation of the particle’s own rotation, which is described by the diagonal matrix of the moment of inertia.
The spin of the field is invariant from the point of view of general relativity, it does not depend on the state of the system and the sources of its creation.
Spin is a fundamental, unchanging characteristic of the field. Whichever way it is created, it will be with the same back. The spin of particles is not determined by their internal structure, but is determined by the spin of the interaction fields created by these particles.
Spin is a spatial characteristic and is not attributed to any point particle. The phrase “spin-orbit interaction” in this case means the interaction of the orbital moment with the spinor field.
Solutions to the problems of the motion of particles in various external spinor fields are presented. The results of solving these problems show that the developed approach correctly describes the physical properties of the interaction of particles and fields.
The proposed representation of spinor fields applies to the equations of relativistic and quantum mechanics and their representation in metric spaces.
On the other hand, these proposed approaches are still new and need more detailed theoretical and experimental studies and a more developed and rigorous formulation of the mathematical foundations of the new theory.
All aspects and a more complete presentation of the new theory will be presented shortly in the author’s book “Relativistic and Quantum Mechanics – with new formulations of principles and theory”.
The author declares no conflict of interest.
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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. 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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:"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:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{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:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"426586",title:"Dr.",name:"Oladunni A.",middleName:null,surname:"Daramola",slug:"oladunni-a.-daramola",fullName:"Oladunni A. Daramola",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Federal University of Technology",country:{name:"Nigeria"}}},{id:"357014",title:"Prof.",name:"Leon",middleName:null,surname:"Bobrowski",slug:"leon-bobrowski",fullName:"Leon Bobrowski",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Bialystok University of Technology",country:{name:"Poland"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"354126",title:"Dr.",name:"Setiawan",middleName:null,surname:"Hadi",slug:"setiawan-hadi",fullName:"Setiawan Hadi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Padjadjaran University",country:{name:"Indonesia"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"332603",title:"Prof.",name:"Kumar S.",middleName:null,surname:"Ray",slug:"kumar-s.-ray",fullName:"Kumar S. Ray",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Statistical Institute",country:{name:"India"}}},{id:"415409",title:"Prof.",name:"Maghsoud",middleName:null,surname:"Amiri",slug:"maghsoud-amiri",fullName:"Maghsoud Amiri",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Allameh Tabataba'i University",country:{name:"Iran"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}}]}},subseries:{item:{id:"27",type:"subseries",title:"Multi-Agent Systems",keywords:"Collaborative Intelligence, Learning, Distributed Control System, Swarm Robotics, Decision Science, Software Engineering",scope:"Multi-agent systems are recognised as a state of the art field in Artificial Intelligence studies, which is popular due to the usefulness in facilitation capabilities to handle real-world problem-solving in a distributed fashion. The area covers many techniques that offer solutions to emerging problems in robotics and enterprise-level software systems. Collaborative intelligence is highly and effectively achieved with multi-agent systems. Areas of application include swarms of robots, flocks of UAVs, collaborative software management. Given the level of technological enhancements, the popularity of machine learning in use has opened a new chapter in multi-agent studies alongside the practical challenges and long-lasting collaboration issues in the field. It has increased the urgency and the need for further studies in this field. We welcome chapters presenting research on the many applications of multi-agent studies including, but not limited to, the following key areas: machine learning for multi-agent systems; modeling swarms robots and flocks of UAVs with multi-agent systems; decision science and multi-agent systems; software engineering for and with multi-agent systems; tools and technologies of multi-agent systems.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",hasOnlineFirst:!0,hasPublishedBooks:!1,annualVolume:11423,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. He has served as guest editor for a number of special issues of peer-reviewed international journals.",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null,series:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403"},editorialBoard:[{id:"275140",title:"Dr.",name:"Dinh Hoa",middleName:null,surname:"Nguyen",slug:"dinh-hoa-nguyen",fullName:"Dinh Hoa Nguyen",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRbnKQAS/Profile_Picture_1622204093453",institutionString:null,institution:{name:"Kyushu University",institutionURL:null,country:{name:"Japan"}}},{id:"20259",title:"Dr.",name:"Hongbin",middleName:null,surname:"Ma",slug:"hongbin-ma",fullName:"Hongbin Ma",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRhDJQA0/Profile_Picture_2022-05-02T08:25:21.jpg",institutionString:null,institution:{name:"Beijing Institute of Technology",institutionURL:null,country:{name:"China"}}},{id:"28640",title:"Prof.",name:"Yasushi",middleName:null,surname:"Kambayashi",slug:"yasushi-kambayashi",fullName:"Yasushi Kambayashi",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYOQxQAO/Profile_Picture_1625660525470",institutionString:null,institution:{name:"Nippon Institute of Technology",institutionURL:null,country:{name:"Japan"}}}]},onlineFirstChapters:{paginationCount:1,paginationItems:[{id:"82380",title:"Evolution of Parasitism and Pathogenic Adaptations in Certain Medically Important Fungi",doi:"10.5772/intechopen.105206",signatures:"Gokul Shankar Sabesan, Ranjit Singh AJA, Ranjith Mehenderkar and Basanta Kumar Mohanty",slug:"evolution-of-parasitism-and-pathogenic-adaptations-in-certain-medically-important-fungi",totalDownloads:7,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Fungal Infectious Diseases - Annual Volume 2022",coverURL:"https://cdn.intechopen.com/books/images_new/11400.jpg",subseries:{id:"4",title:"Fungal Infectious Diseases"}}}]},publishedBooks:{paginationCount:9,paginationItems:[{type:"book",id:"9959",title:"Biomedical Signal and Image Processing",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/9959.jpg",slug:"biomedical-signal-and-image-processing",publishedDate:"April 14th 2021",editedByType:"Edited by",bookSignature:"Yongxia Zhou",hash:"22b87a09bd6df065d78c175235d367c8",volumeInSeries:10,fullTitle:"Biomedical Signal and Image Processing",editors:[{id:"259308",title:"Dr.",name:"Yongxia",middleName:null,surname:"Zhou",slug:"yongxia-zhou",fullName:"Yongxia Zhou",profilePictureURL:"https://mts.intechopen.com/storage/users/259308/images/system/259308.jpeg",institutionString:"University of Southern California",institution:{name:"University of Southern California",institutionURL:null,country:{name:"United States of America"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"9973",title:"Data Acquisition",subtitle:"Recent Advances and Applications in Biomedical Engineering",coverURL:"https://cdn.intechopen.com/books/images_new/9973.jpg",slug:"data-acquisition-recent-advances-and-applications-in-biomedical-engineering",publishedDate:"March 17th 2021",editedByType:"Edited by",bookSignature:"Bartłomiej Płaczek",hash:"75ea6cdd241216c9db28aa734ab34446",volumeInSeries:9,fullTitle:"Data Acquisition - Recent Advances and Applications in Biomedical Engineering",editors:[{id:"313277",title:"Dr.",name:"Bartłomiej",middleName:null,surname:"Płaczek",slug:"bartlomiej-placzek",fullName:"Bartłomiej Płaczek",profilePictureURL:"https://mts.intechopen.com/storage/users/313277/images/system/313277.jpg",institutionString:"University of Silesia",institution:{name:"University of Silesia",institutionURL:null,country:{name:"Poland"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"9905",title:"Biometric Systems",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/9905.jpg",slug:"biometric-systems",publishedDate:"February 10th 2021",editedByType:"Edited by",bookSignature:"Muhammad Sarfraz",hash:"c730560dd2e3837a03407b3a86b0ef2a",volumeInSeries:8,fullTitle:"Biometric Systems",editors:[{id:"215610",title:"Prof.",name:"Muhammad",middleName:null,surname:"Sarfraz",slug:"muhammad-sarfraz",fullName:"Muhammad Sarfraz",profilePictureURL:"https://mts.intechopen.com/storage/users/215610/images/system/215610.jpeg",institutionString:"Kuwait University",institution:{name:"Kuwait University",institutionURL:null,country:{name:"Kuwait"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"8622",title:"Peptide Synthesis",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/8622.jpg",slug:"peptide-synthesis",publishedDate:"December 18th 2019",editedByType:"Edited by",bookSignature:"Jaya T. 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