Criteria for the diagnosis of MM (old method).
\\n\\n
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Barely three months into the new year and we are happy to announce a monumental milestone reached - 150 million downloads.
\n\nThis achievement solidifies IntechOpen’s place as a pioneer in Open Access publishing and the home to some of the most relevant scientific research available through Open Access.
\n\nWe are so proud to have worked with so many bright minds throughout the years who have helped us spread knowledge through the power of Open Access and we look forward to continuing to support some of the greatest thinkers of our day.
\n\nThank you for making IntechOpen your place of learning, sharing, and discovery, and here’s to 150 million more!
\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:"7262",leadTitle:null,fullTitle:"Spatial Analysis, Modelling and Planning",title:"Spatial Analysis, Modelling and Planning",subtitle:null,reviewType:"peer-reviewed",abstract:"New powerful technologies, such as geographic information systems (GIS), have been evolving and are quickly becoming part of a worldwide emergent digital infrastructure. Spatial analysis is becoming more important than ever because enormous volumes of spatial data are available from different sources, such as social media and mobile phones. When locational information is provided, spatial analysis researchers can use it to calculate statistical and mathematical relationships through time and space. This book aims to demonstrate how computer methods of spatial analysis and modeling, integrated in a GIS environment, can be used to better understand reality and give rise to more informed and, thus, improved planning. It provides a comprehensive discussion of spatial analysis, methods, and approaches related to planning.",isbn:"978-1-78984-240-1",printIsbn:"978-1-78984-239-5",pdfIsbn:"978-1-83881-795-4",doi:"10.5772/intechopen.74452",price:119,priceEur:129,priceUsd:155,slug:"spatial-analysis-modelling-and-planning",numberOfPages:268,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"ed7c7f4193e3951e715569ca454f7077",bookSignature:"Jorge Rocha and José António Tenedório",publishedDate:"November 28th 2018",coverURL:"https://cdn.intechopen.com/books/images_new/7262.jpg",numberOfDownloads:18396,numberOfWosCitations:9,numberOfCrossrefCitations:4,numberOfCrossrefCitationsByBook:1,numberOfDimensionsCitations:10,numberOfDimensionsCitationsByBook:2,hasAltmetrics:1,numberOfTotalCitations:23,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"February 1st 2018",dateEndSecondStepPublish:"February 22nd 2018",dateEndThirdStepPublish:"April 23rd 2018",dateEndFourthStepPublish:"July 12th 2018",dateEndFifthStepPublish:"September 10th 2018",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"145918",title:"Ph.D.",name:"Jorge",middleName:null,surname:"Rocha",slug:"jorge-rocha",fullName:"Jorge Rocha",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRCMaQAO/Profile_Picture_1641828146691",biography:"Jorge Rocha achieved his MSc in Geographic Information Systems (2003) and in Spatial Planning (2013), and PhD in Geographic Information Science (2012). He is currently an Assistant Professor of the Institute of Geography and Spatial Planning and a member of the Modelling, Urban and Regional Planning, and Environmental Hazard and Risk Assessment and Management research groups of the Centre of Geographical Studies, University of Lisbon. . His field of expertise is geosimulation and geocomputation involving artificial neural networks, graphs theory, cellular automata, and multi-agent systems. Jorge’s works are quite diverse, focusing mainly on, but not only, in urban morphology, remote sensing, epidemiology, health geography, geomarketing, tourism, smart cities and big data.",institutionString:"University of Lisbon",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"5",totalChapterViews:"0",totalEditedBooks:"4",institution:{name:"University of Lisbon",institutionURL:null,country:{name:"Portugal"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:{id:"242032",title:"Dr.",name:"José António",middleName:null,surname:"Tenedório",slug:"jose-antonio-tenedorio",fullName:"José António Tenedório",profilePictureURL:"https://mts.intechopen.com/storage/users/242032/images/6729_n.jpg",biography:"José António Tenedório, geographer, associate professor at Universidade NOVA de Lisboa, Faculty of Social Sciences and Humanities, Lisbon, Portugal, and Visiting Professor at Polytechnic University of Catalonia, BarcelonaTech, Faculty of Architecture, Spain. \nHe graduated in Geography and Regional Planning (1984) at UNL-FCSH. He attended Sorbonne-Universités, University of Paris VI-Pierre et Marie Curie, Faculty of Sciences, where he did his post-graduate (DESS in 1991) in Remote Sensing and obtained Ph.D. (1998) in Urbanism at the University of Paris XII, Urbanism Institute. His main scientific area of research is Remote Sensing, GIS, Spatial Analysis, and Geographical Modeling. He has published more than one hundred papers (book chapters, papers in periodic with scientific refereeing, papers in conference proceedings with scientific refereeing).",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"0",institution:null},coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"637",title:"Spatial Analysis",slug:"spatial-analysis"}],chapters:[{id:"63765",title:"Introductory Chapter: Spatial Analysis, Modelling, and Planning",doi:"10.5772/intechopen.81049",slug:"introductory-chapter-spatial-analysis-modelling-and-planning",totalDownloads:3003,totalCrossrefCites:0,totalDimensionsCites:2,hasAltmetrics:1,abstract:null,signatures:"José António Tenedório and Jorge Rocha",downloadPdfUrl:"/chapter/pdf-download/63765",previewPdfUrl:"/chapter/pdf-preview/63765",authors:[{id:"145918",title:"Ph.D.",name:"Jorge",surname:"Rocha",slug:"jorge-rocha",fullName:"Jorge Rocha"},{id:"242032",title:"Dr.",name:"José António",surname:"Tenedório",slug:"jose-antonio-tenedorio",fullName:"José António Tenedório"}],corrections:null},{id:"62024",title:"One World, One Health Challenge: The Holistic Understanding of Rickettsiosis Integrating Multi-Criteria Analysis Techniques and Spatial Statistics",doi:"10.5772/intechopen.78364",slug:"one-world-one-health-challenge-the-holistic-understanding-of-rickettsiosis-integrating-multi-criteri",totalDownloads:1473,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Among the human diseases caused by etiological agents transmitted by ticks in Brazil, the most prevalent and public health interest is that one caused by species of Rickettsia—Spotted Fever (SF). We applied the concept “One World, One Health” to achieve a proper understanding of SF and determine risk scenarios for human infection by pathogenic Rickettsia in the state of Rio de Janeiro (RJ). Multi-criteria decision analysis and spatial statistics were performed on data encompassing epidemiology, health care, biotic determents, and socioeconomic and demographic variables. The construction of multi-criteria descriptors used 33 indicators ordered in 12 sub criteria of 5 major categories: public health, environmental health, acarology, veterinary health, and microbiology. SF happened nonrandomly in RJ and the risk was heterogeneous in the weight of indicators contribution mainly associated with the criteria acarology (35.11%), microbiology (33.25%), and veterinary medicine (23.96%). Spatially, and according to the PROMETHEE algorithm, ticks from Amblyomma sculptum class and dogs are determinants for the occurrence of human cases of SF in RJ. To define indicators of SF and plan health actions, the “One World, One Health” concept proved to be applicable at three levels: (i) the local or possible areas of infection, (ii) the population or municipality, and (iii) the ecosystem or state. The model of study is flexible according to the reality of the endemic areas and also demonstrates its applicability from a national to a local (home) scale.",signatures:"Diego Montenegro, Ana Paula da Cunha, Ingrid Machado, Liliane\nDuraes, Stefan Vilges de Oliveira, Marcel Pedroso, Gilberto S.\nGazêta and Reginaldo P. Brazil",downloadPdfUrl:"/chapter/pdf-download/62024",previewPdfUrl:"/chapter/pdf-preview/62024",authors:[{id:"169550",title:"Dr.",name:"Reginaldo",surname:"Brazil",slug:"reginaldo-brazil",fullName:"Reginaldo Brazil"},{id:"245236",title:"Ph.D.",name:"Diego",surname:"Montenegro",slug:"diego-montenegro",fullName:"Diego Montenegro"},{id:"249686",title:"MSc.",name:"Ana",surname:"Da Cunha",slug:"ana-da-cunha",fullName:"Ana Da Cunha"},{id:"249687",title:"M.Sc.",name:"Ingrid",surname:"Machado",slug:"ingrid-machado",fullName:"Ingrid Machado"},{id:"249688",title:"MSc.",name:"Lili",surname:"Duraes",slug:"lili-duraes",fullName:"Lili Duraes"},{id:"249689",title:"Dr.",name:"Stefan",surname:"De Oliveira",slug:"stefan-de-oliveira",fullName:"Stefan De Oliveira"},{id:"249690",title:"Prof.",name:"Marcel",surname:"Pedroso",slug:"marcel-pedroso",fullName:"Marcel Pedroso"},{id:"249691",title:"Prof.",name:"Gilberto",surname:"Gazêta",slug:"gilberto-gazeta",fullName:"Gilberto Gazêta"}],corrections:null},{id:"61205",title:"Spatial Analysis of Bifenthrin Sediment and Water Concentrations in California Waterbodies from 2001 to 2017",doi:"10.5772/intechopen.76835",slug:"spatial-analysis-of-bifenthrin-sediment-and-water-concentrations-in-california-waterbodies-from-2001",totalDownloads:1120,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The objective of this study was to summarize and map bifenthrin sediment and water column monitoring data from California waterbodies (2001–2017) and determine where detected bifenthrin concentrations were reported and potential toxicity to aquatic biota may exist. Bifenthrin sediment data based on targeted sampling in depositional areas were available for more sites (982) than water column data (716 sites), and sediment sites had a lower percent of nondetected concentrations (36%) when compared with water values (77%). Comparison of results from three ambient sediment toxicity tests from sediment sites and six ambient toxicity tests from water sites showed no toxicity from 43% of the sediment sites and 65% of the water sites. A comparison of sediment measurements with acute toxicity data from two test species (Hyalella azteca and Chironomus tentans) showed no toxicity at 80–99.5% of the sites. Bifenthrin total water concentrations compared with a proposed 2015 chronic criterion of 0.01 ng/L showed no exceedances at 77% of the sites. Due to the conservative assumptions used in this analysis, bifenthrin ecological risk to aquatic life in California water bodies from both sediment exposure based on only targeted sampling from depositional areas and water column exposures based on using only total concentrations (not the bioavailable phase) is generally judged to be low statewide.",signatures:"Lenwood W. Hall and Ronald D. Anderson",downloadPdfUrl:"/chapter/pdf-download/61205",previewPdfUrl:"/chapter/pdf-preview/61205",authors:[{id:"243743",title:"M.Sc.",name:"Lenwood",surname:"Hall",slug:"lenwood-hall",fullName:"Lenwood Hall"},{id:"247467",title:"Mr.",name:"Ronald",surname:"Anderson",slug:"ronald-anderson",fullName:"Ronald Anderson"}],corrections:null},{id:"60955",title:"Absolute Density Measures Estimation Functions with Very High Resolution Satellite Images",doi:"10.5772/intechopen.76817",slug:"absolute-density-measures-estimation-functions-with-very-high-resolution-satellite-images",totalDownloads:1166,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Assessment and monitoring of forest structure is frequently done with absolute density measures with field forest inventory data and expansion methods. The development of basal area and the number of trees estimation functions with data derived from very high spatial resolution satellite images enable their short-term and cost-effective evaluation, allowing also the estimation for the area not requiring extrapolation methods. The functions of basal area and the number of trees per hectare are based on crown cover obtained with very high spatial resolution satellite images for two evergreen oaks and umbrella pine. The three tree species are especially important in the agroforestry systems of the Mediterranean region. The linear functions fitted for pure stands of the three species and mixed stands of cork and holm oak and of cork oak and umbrella pine showed a better performance for basal area than for the number of trees per hectare. The inclusion of dummy variables for species composition improved the accuracy of the functions.",signatures:"Ana Cristina Gonçalves and Adélia M. O. Sousa",downloadPdfUrl:"/chapter/pdf-download/60955",previewPdfUrl:"/chapter/pdf-preview/60955",authors:[{id:"187880",title:"Prof.",name:"Adélia",surname:"Sousa",slug:"adelia-sousa",fullName:"Adélia Sousa"},{id:"194484",title:"Prof.",name:"Ana Cristina",surname:"Gonçalves",slug:"ana-cristina-goncalves",fullName:"Ana Cristina Gonçalves"}],corrections:null},{id:"62410",title:"Evaluating the Effectiveness of CCTV in Baltimore, Maryland",doi:"10.5772/intechopen.79076",slug:"evaluating-the-effectiveness-of-cctv-in-baltimore-maryland",totalDownloads:1379,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"This report reviews the results of an investigation into the effectiveness of public surveillance systems in Cherry Hill, Baltimore City, Maryland. Its chief objective is to discern whether closed circuit television (CCTV) cameras are a successful crime control measure and whether their implementation displaced crime or generated a diffusion of benefits to the areas outside a camera’s viewshed. Previous research on the efficacy of CCTV leaves much to be desired, and the debate is still inconclusive. Thus, this study attempts to move toward new ways of analyzing crime data gathered pre- and post-implementation of cameras in a given target area. To conduct this research, the investigation utilizes a combination of existing and new geographical information systems (GIS) spatial techniques to visualize and measure crime distribution and uses light detection and ranging (LiDAR) data to produce a precise mapping of a camera’s line of sight. Findings from each analytical method are compared, contrasted, and combined to provide rounded results. These findings suggest that the implementation of GIS techniques in crime mapping have huge potential and could provide innovative uses for CCTV within law enforcement crime control programs.",signatures:"Brian Ways and Brooks C. Pearson",downloadPdfUrl:"/chapter/pdf-download/62410",previewPdfUrl:"/chapter/pdf-preview/62410",authors:[{id:"245941",title:"Dr.",name:"Brooks",surname:"Pearson",slug:"brooks-pearson",fullName:"Brooks Pearson"},{id:"245942",title:"Mr.",name:"Brian",surname:"Ways",slug:"brian-ways",fullName:"Brian Ways"}],corrections:null},{id:"62441",title:"The Use of Photos of the Social Networks in Shaping a New Tourist Destination: Analysis of Clusters in a GIS Environment",doi:"10.5772/intechopen.78598",slug:"the-use-of-photos-of-the-social-networks-in-shaping-a-new-tourist-destination-analysis-of-clusters-i",totalDownloads:1098,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"The use of new photo-sharing services in social networks has favoured a perception of the interests of locals and visitors. The photos presented in these networks are geocoded by the users, residents or visitors, allowing extensive databases to be obtained. The research that was conducted between 2015 and 2016 followed an essentially quantitative approach. Based on the georeferenced photos on social networks, the main distribution patterns of places of interest to tourists, visitors and residents were analysed in a rural emergent tourist destination in northeastern Portugal. We used geographical information systems (GISs) to apply various spatial and statistical analysis techniques. One the main conclusions was that there is a high number of natural and cultural heritage locations with tourism potential, and, in some cases, their accessibility standards make them favourable destinations for tourists.",signatures:"Hélder Tiago da Silva Lopes, Paula Cristina Almeida Cadima\nRemoaldo and Vitor Ribeiro",downloadPdfUrl:"/chapter/pdf-download/62441",previewPdfUrl:"/chapter/pdf-preview/62441",authors:[{id:"246710",title:"Ph.D.",name:"Hélder",surname:"Lopes",slug:"helder-lopes",fullName:"Hélder Lopes"},{id:"246711",title:"Prof.",name:"Paula",surname:"Remoaldo",slug:"paula-remoaldo",fullName:"Paula Remoaldo"},{id:"248070",title:"Prof.",name:"Vítor",surname:"Ribeiro",slug:"vitor-ribeiro",fullName:"Vítor Ribeiro"},{id:"248634",title:"Prof.",name:"Paula",surname:"Remoaldo",slug:"paula-remoaldo",fullName:"Paula Remoaldo"}],corrections:null},{id:"62237",title:"Modelling Driving Forces of Urban Growth with Fuzzy Sets and GIS",doi:"10.5772/intechopen.78646",slug:"modelling-driving-forces-of-urban-growth-with-fuzzy-sets-and-gis",totalDownloads:1319,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Urban growth occurs in conjunction with a series of decision-making processes and is, on the whole, not deterministic but rather is the outcome of competing local demands and uncontrolled, chaotic processes. Fuzzy sets theory is ideally suited to treat the complexity and uncertainties in the decision-making process. This chapter presented an example of how fuzzy sets can be applied to model urban growth driving forces within geographical information system environment. The mathematical models for measuring, computing and defining 10 fuzzy urban growth factors to form fuzzy driving forces of urban growth in Riyadh City, Saudi Arabia, were discussed. Four factors were considered as the driving forces for urban growth in Riyadh City: the transport support factor, urban agglomeration and attractiveness factor, topographical constraints factor, and planning policies and regulations factor. The urban growth factors were established using fuzzy set theory, which quantified the effect of distance decay using fuzziness. This approach is a transparent method of interpreting the curve of distance decay using linguistic variables. This feature does not exist in the linear, negative exponential or inverse power functions. The results indicate that fuzzy accessibility and fuzzy urban density factors are capable of mimicking and representing the uncertainty in the behaviour of the human decision-making process in land development in a very efficient manner.",signatures:"Khalid Al-Ahmadi",downloadPdfUrl:"/chapter/pdf-download/62237",previewPdfUrl:"/chapter/pdf-preview/62237",authors:[{id:"137051",title:"Dr.",name:"Khalid",surname:"Al-Ahmadi",slug:"khalid-al-ahmadi",fullName:"Khalid Al-Ahmadi"}],corrections:null},{id:"62721",title:"Quantification and Prediction of Land Consumption and Its Climate Effects in the Rhineland Metropolitan Area Based on Multispectral Satellite Data and Land-Use Modelling 1975–2030",doi:"10.5772/intechopen.79287",slug:"quantification-and-prediction-of-land-consumption-and-its-climate-effects-in-the-rhineland-metropoli",totalDownloads:1363,totalCrossrefCites:2,totalDimensionsCites:2,hasAltmetrics:0,abstract:"Land use and soil sealing are particularly high in metropolitan regions. They bring about conflicts of use: the demand for housing, business and economy is enormous, but at the same time, quality of life depends on a network of green spaces. With the aid of remote sensing, the change of urban areas can be observed and quantified over time. This study investigates the change dynamics of land cover and land use in North Rhine-Westphalia (NRW) with multispectral satellite data, focussing on imperviousness. Landsat data is used to monitor and analyse half a century of landscape development. In addition, recent trends in land surface temperature (LST) are estimated from MODIS data. Changes to the LST are caused by land cover and land use changes amongst other factors. Accordingly, a link can be shown between the medium-term LST changes and the hotspots of landscape transformation in NRW. Due to global climate change, land consumption is increasingly affecting the densely populated urban areas, which calls for measures to increase their resilience. The results of the study can be used by decision makers to assess the environmental impact of land use, the loss of agricultural land or the resulting effects of climate change.",signatures:"Andreas Rienow, Nora Jennifer Schneevoigt and Frank Thonfeld",downloadPdfUrl:"/chapter/pdf-download/62721",previewPdfUrl:"/chapter/pdf-preview/62721",authors:[{id:"179118",title:"Dr.",name:"Andreas",surname:"Rienow",slug:"andreas-rienow",fullName:"Andreas Rienow"},{id:"244206",title:"Dr.",name:"Frank",surname:"Thonfeld",slug:"frank-thonfeld",fullName:"Frank Thonfeld"},{id:"259034",title:"Dr.",name:"Nora",surname:"Schneevoigt",slug:"nora-schneevoigt",fullName:"Nora Schneevoigt"}],corrections:null},{id:"61841",title:"Fusion Study of Geography and Environmental Engineering",doi:"10.5772/intechopen.78574",slug:"fusion-study-of-geography-and-environmental-engineering",totalDownloads:1306,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The author focuses on urban area and shows case studies on urban energy planning and urban climate induced by concentrated human activities like energy use based on geographic information like land use data and numerical climate model linked to geographic information system (GIS). (1) In finding the candidate places to settle district heat supply facilities that make effective reuse of heat obtained from sewage, the usage of GIS gives the reasonable solution in scientific view point. (2) The spatiotemporal data in high resolution on human activity like energy consumption in urban area enable us to evaluate the impact of anthropogenic heat to urban climate by a numerical simulation model of the local climate. (3) The recent precise geographic information of urban vegetation cover derived from remote sensing (RS) data enables us to evaluate the contribution of urban green to cool our community with higher accuracy. (4) The author’s approach is available not only to evaluate the current urban environment but also to evaluate the past one. If a certain scenario of future’s urban land use and urban activity, this approach will be available for the future prediction. Thus, these outputs will give some sustainable urban design in viewpoint of climate change (mitigation and adaptation).",signatures:"Toshiaki Ichinose",downloadPdfUrl:"/chapter/pdf-download/61841",previewPdfUrl:"/chapter/pdf-preview/61841",authors:[{id:"247215",title:"Prof.",name:"Toshiaki",surname:"Ichinose",slug:"toshiaki-ichinose",fullName:"Toshiaki Ichinose"}],corrections:null},{id:"61443",title:"Generating Reality with Geosimulation Models: An Agent-Based Social-Spatial Network Modelling Perspective",doi:"10.5772/intechopen.77322",slug:"generating-reality-with-geosimulation-models-an-agent-based-social-spatial-network-modelling-perspec",totalDownloads:1183,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Models in general and geosimulation in particular are epistemologically characterized by two principles: first, they produce reality through their existence and communication rather than simply representing it. Second, they reduce complexity in the process of mapping complexity. Since almost any current phenomenon is understood as complex without specifying how complex it is and in which sense, geosimulation models are important tools in solving this problem of specifying and representing complexity. This capability rests, among other things, upon its multilevel approach (bottom-up and top-down) and its ability to translate terms into numbers and thus into distinct singularities. A demonstration of such an understanding of models will be given by presenting a socio-spatial simulation approach in the domain of network analysis and social capital operationalization. Two Austrian regions serve as case studies using empirical and simulated data. The demonstration includes the endeavor to intertwine a place-based geography with a network-based geography.",signatures:"Andreas Koch",downloadPdfUrl:"/chapter/pdf-download/61443",previewPdfUrl:"/chapter/pdf-preview/61443",authors:[{id:"246464",title:"Prof.",name:"Andreas",surname:"Koch",slug:"andreas-koch",fullName:"Andreas Koch"}],corrections:null},{id:"62592",title:"Formal Urban Dynamics, Policy and Implications on Urban Planning: Perspectives on Kampala, Uganda",doi:"10.5772/intechopen.79051",slug:"formal-urban-dynamics-policy-and-implications-on-urban-planning-perspectives-on-kampala-uganda",totalDownloads:1431,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:1,abstract:"Formal urban dynamics is a holistic approach that contributes towards the delivery of relevant planning solutions for cities and towns. This chapter discusses Kampala’s shifting urban dynamics and their implications on planning. It argues that the current legal, political, technical, financial and administrative dynamics are problematic in nature and generally have dynamic effects on the city’s planning trajectory. Uganda Bureau of Statistics (UBOS) indicates that Kampala’s population has grown from 1,189,142 in 2014 to 1,583,000 in 2017, growing at 1.74% per annum. Like other cities in Africa, Kampala presents enormous challenges to urban planners, city government, local leaders and city dwellers. Watson elucidates that rapid urbanisation experienced in Africa today and Kampala in particular requires radical planning approaches in order to address the much-needed services such as water, health, waste management and sanitation. This is an empirical study with a quantitative sample of 720 households proportionally distributed according Kampala’s five divisions. Qualitative data were analysed using narrative and thematic techniques, complemented by the descriptive method. The objective of this study is to investigate formal dynamics responsible for Kampala’s urbanisation from 1990 to 2013 and their policy implications on planning. The findings explain Kampala’s planning challenges, government modernisation agenda, legal framework, urban policy dynamics and government interventions.",signatures:"John J. Williams and Fred Bidandi",downloadPdfUrl:"/chapter/pdf-download/62592",previewPdfUrl:"/chapter/pdf-preview/62592",authors:[{id:"215494",title:"Dr.",name:"Fred",surname:"Bidandi",slug:"fred-bidandi",fullName:"Fred Bidandi"},{id:"253224",title:"Prof.",name:"John James",surname:"Williams",slug:"john-james-williams",fullName:"John James Williams"}],corrections:null},{id:"62758",title:"Risk Analysis and Land Use Planning",doi:"10.5772/intechopen.79776",slug:"risk-analysis-and-land-use-planning",totalDownloads:1391,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Natural hazards are potentially damaging physical events and phenomena, which may cause the loss of life; injury or human life disruption; property damage; social, economic, and political disruption; or environmental degradation. Systematic approach to the natural hazard research on the base of risk concept is a very fruitful and progressive method. Areas of possible disaster events could be the places of the highest risk at the natural risk maps of the territories. It is necessary to use big databases and data banks and GIS technologies for such map constructions. Sometimes people have to live in such dangerous places. It is necessary for people living under natural risk to understand and estimate this risk and to know how to overcome it and how to act in case of crises events. Risk management concept is a good instrument for systematic approach to the problems of the rational land use.",signatures:"Valentina Svalova",downloadPdfUrl:"/chapter/pdf-download/62758",previewPdfUrl:"/chapter/pdf-preview/62758",authors:[{id:"62677",title:"Dr.",name:"Valentina",surname:"Svalova",slug:"valentina-svalova",fullName:"Valentina Svalova"}],corrections:null},{id:"64323",title:"Political Economy and the Work of Kenneth Arrow",doi:"10.5772/intechopen.77104",slug:"political-economy-and-the-work-of-kenneth-arrow",totalDownloads:1165,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"This chapter contrasts two domains of human activity: LOGOS, the principle of enlightenment rationality and MYTHOS, the search for meaning through religion. LOGOS has created our modern world, and we have many successes as a result: the general equilibrium result for economics, general relativity, and quantum mechanics (but as yet no combined theory of the two). Even Newtonian mechanics has led to the notion of chaos. The Hilbert program to show the consistency and completeness of Mathematics has been invalidated by Godel’s Theorem, while the attempt to extend the economics general equilibrium theorem fails because of Arrow’s Impossibility Theorem. Darwinian evolutionary theory is another success of Logos, but even here, there are many difficulties, particularly how genes work Logos has allowed us to create our industrial society, but has also led us to climate change, without indicating how we can avoid the collapse of civilization. Here we suggest that we may be able to use Mythos, our collective beliefs in what we should do, to help us make a wise choice about the future. The greatest failure of Logos is that we have no understanding of the nature of consciousness. If we can develop such a theory, then perhaps we can construct a theoretical political economy. Without this, it appears likely that climate change could induce a Malthusian trap for us unless we pay heed to Pope Francis’s call for us to “Care for Our Common Home.” Since this presents us with a common goal, it is possible that we can make a wise choice over our future.",signatures:"Norman Schofield",downloadPdfUrl:"/chapter/pdf-download/64323",previewPdfUrl:"/chapter/pdf-preview/64323",authors:[{id:"151701",title:"Prof.",name:"Norman",surname:"Schofield",slug:"norman-schofield",fullName:"Norman Schofield"}],corrections:null}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"7362",title:"Geographic Information Systems and Science",subtitle:null,isOpenForSubmission:!1,hash:"b0ac3aa0063d6a10dd3fe90ff78cddd7",slug:"geographic-information-systems-and-science",bookSignature:"Jorge Rocha and Patrícia Abrantes",coverURL:"https://cdn.intechopen.com/books/images_new/7362.jpg",editedByType:"Edited by",editors:[{id:"145918",title:"Ph.D.",name:"Jorge",surname:"Rocha",slug:"jorge-rocha",fullName:"Jorge Rocha"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"5996",title:"Multi-agent Systems",subtitle:null,isOpenForSubmission:!1,hash:"cef4c0140f4ed164041011060d8378e6",slug:"multi-agent-systems",bookSignature:"Jorge Rocha",coverURL:"https://cdn.intechopen.com/books/images_new/5996.jpg",editedByType:"Edited by",editors:[{id:"145918",title:"Ph.D.",name:"Jorge",surname:"Rocha",slug:"jorge-rocha",fullName:"Jorge Rocha"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"9256",title:"Risk Management and Assessment",subtitle:null,isOpenForSubmission:!1,hash:"b5547d1d68d2db6f22eedb8f306b0276",slug:"risk-management-and-assessment",bookSignature:"Jorge Rocha, Sandra Oliveira and César Capinha",coverURL:"https://cdn.intechopen.com/books/images_new/9256.jpg",editedByType:"Edited by",editors:[{id:"145918",title:"Ph.D.",name:"Jorge",surname:"Rocha",slug:"jorge-rocha",fullName:"Jorge Rocha"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"5241",title:"Applications of Spatial Statistics",subtitle:null,isOpenForSubmission:!1,hash:"acc5941907640ecc7a3e350c5fe3df19",slug:"applications-of-spatial-statistics",bookSignature:"Ming-Chih Hung",coverURL:"https://cdn.intechopen.com/books/images_new/5241.jpg",editedByType:"Edited by",editors:[{id:"184413",title:"Dr.",name:"Ming",surname:"Hung",slug:"ming-hung",fullName:"Ming Hung"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7304",title:"Geospatial Analyses of Earth Observation (EO) data",subtitle:null,isOpenForSubmission:!1,hash:"e90c7cda0e7f94a6620d6ec83db808ae",slug:"geospatial-analyses-of-earth-observation-eo-data",bookSignature:"Antonio Pepe and Qing Zhao",coverURL:"https://cdn.intechopen.com/books/images_new/7304.jpg",editedByType:"Edited by",editors:[{id:"99269",title:"Dr.",name:"Antonio",surname:"Pepe",slug:"antonio-pepe",fullName:"Antonio Pepe"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"9246",title:"Satellites Missions and Technologies for Geosciences",subtitle:null,isOpenForSubmission:!1,hash:"f23d04613b089dae40f81342c3e7c7f4",slug:"satellites-missions-and-technologies-for-geosciences",bookSignature:"Vladislav Demyanov and Jonathan Becedas",coverURL:"https://cdn.intechopen.com/books/images_new/9246.jpg",editedByType:"Edited by",editors:[{id:"154597",title:"Prof.",name:"Vladislav",surname:"Demyanov",slug:"vladislav-demyanov",fullName:"Vladislav Demyanov"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"9846",title:"Spatial Variability in Environmental Science",subtitle:"Patterns, Processes, and Analyses",isOpenForSubmission:!1,hash:"cfa4fa7b982bbff46ffbe6fbdbffbdf1",slug:"spatial-variability-in-environmental-science-patterns-processes-and-analyses",bookSignature:"John P. 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\r\n\tAlthough the diagnosis and overall survival of patients with various cardiac diseases have improved in the last years, there still remains a significant proportion of patients with unfavorable prognoses. The evaluation of these patients necessitates effective imaging techniques in both diagnosis and long-term follow-up. Even though Cardiac Magnetic Resonance imaging is currently the imaging modality of choice for tissue characterization, advanced echocardiography represents a modern alternative. Speckle tracking echocardiography can be used to assess myocardial deformation at both segmental and global levels. Since distinct myocardial pathologies affect deformation differently, information about the underlying tissue can be offered by strain imaging. Echocardiography advances also show promising results in the improvement of diagnostic accuracy, management, and follow-up and a major advantage of echocardiography over other imaging modalities is the ability to use it in real-time, in the cardiac catheterization laboratory, allowing for the performance of imaging immediately before, during, and after interventional procedures. Furthermore, the prevalence of adult congenital heart disease continues to grow due to advances in surgical and diagnostic techniques. Echocardiography has proven to be a useful tool in the diagnosis and follow-up of these patients, both after percutaneous and surgical procedures, and its utility has expanded significantly due to the development of better technology. In addition, stress echocardiography could be useful in the evaluation of several cardiac diseases and should be preferred over other imaging modalities due to the lower cost, wider availability, and radiation-free nature.
\r\n\tThis book intends to provide the reader with a comprehensive overview of the current state-of-the-art novel imaging techniques by focusing on the most important evidence-based developments in this area.
Multiple myeloma (MM), otherwise known as plasma cell myeloma, is a malignant plasma cell disorder characterized by clonal proliferation of terminally differentiated B-lymphocytic cells in the bone marrow. This leads to overproduction of aberrant immunoglobulins in the blood, a condition known as paraproteinemia. It is one of the commonest hematological malignancies of public health importance in low-income countries of Sub-Saharan Africa. It accounts for 10–15% of all lymphohematopoietic cancers, 1% of all cancer diagnosis, and 0.9–2% of all cancer-related deaths globally [1]. According to 2009 cancer statistics, the cumulative incidence of MM in the United States is 20,580 cases with an estimated number of deaths of 10,580 and a case fatality rate greater than 51% [2]. The prevalence of MM is in the increase in African continent especially in the oil-rich Niger-Delta Nigeria where it accounts for about 8.2% of all hematological malignancies [3, 4]. The management of MM starts with a good history, which brings into limelight the epidemiology, pathogenesis, and the clinical features of the disease. This is followed by a series of investigations to make the diagnosis and to clinically stage the disease before therapeutic interventions. The major challenges in the management of MM in developing countries are in the diagnosis and treatment. The duo are majorly responsible for the complications, poor prognosis, and survival outcome of people living with MM in the region. This chapter highlights the management of multiple myeloma and some of the challenges encountered in the diagnosis and treatment of this disease in developing countries using Nigerian experience as a prototype.
The etiology of multiple myeloma is unknown. However, previous studies have identified factors implicated as “potentially etiologic multiple myeloma risk factors” [5, 6]. These factors include increasing age (>65 years), male gender, black race, and positive family history (first-degree family relatives) of multiple myeloma. Other causes include environmental agents such as cumulative exposure to ionizing radiation and certain chemicals such as dioxin, herbicides, and pesticides. There is a hypothesis that these specific pesticides are causatively linked to myelomatogenesis through the hypothesized precursors of multiple myeloma such as essential monoclonal gammopathy (MGUS) and solitary multiple myeloma (SMM) [7, 8].
Physiologically, a plasma cell is an immunologically activated B-cell that produces antibody. A B-cell goes through series of rearrangement with the immunoglobulin gene to generate functional antibody. It can enter into the circulation to interact directly with antigen to differentiate into a short-lived plasma cell that lives for about 3 days. On the other hand, a myeloma cell is a postgerminal center plasma cell that has undergone immunoglobulin gene recombination, class switching, and somatic hypermutation, and homes to the bone marrow to become long-lived plasma cell (i.e., can live for ≥30 days) [9]. Cytogenetically, MM is divided into two groups based on karyotype gain or loss into hyperdiploid and non-hyperdiploid MM. The hyperdiploid MM, which constitutes about 55–60% of MM primary tumor, is characterized by hyperdiploid karyotype with chromosome range of 48–78 and trisomies of odd number chromosomes, including 15, 9, 5, 19, 3, 11, 7, and 21 (ordered by decreasing frequency). The hyperdiploid variants are typically the IgG kappa-types with bone involvements. The non-hyperdiploid karyotype accounts for the remaining 40–45% of MM primary tumor, and it includes the hypodiploid or near-tetraploid chromosome numbers (i.e., fewer than 48 or more than 74 chromosomes). Chromosomal translocations affect more commonly the non-hyperdiploid karyotypes. In terms of prognosis, hyperdiploid MM is better than non-hyperdiploid karyotype provided the former is not associated with deletion of chromosome 13 (RB1 gene and miRNA-15a/16-1 cluster dysregulation) and 17 (involving the TP53 locus) or amplification of chromosome 1q21 [9, 10]. The critical role of pathogenesis of MM is to give insight into the biology of the disease. Also, the pathways of the pathogenesis of the disease serve as potential sites for therapeutic interventions, especially the target therapies, which can utilize them for their actions.
The diagnosis of multiple myeloma is based on a constellation of hematologic, immunologic, histologic, and radiographic features. There are two methods of diagnosis of MM: the old and new methods. In the old method, a minimum of two major criteria, or one major criterion plus one minor criterion, or three minor criteria is used in making diagnosis of MM [11]. The major criteria are plasmacytoma on tissue biopsy, bone marrow infiltration with greater than 30% BMPCs, monoclonal globulin spike on serum electrophoresis, while the minor criteria include bone marrow infiltration with 10–30% BMPCs, paraprotein less than the defined quantity for major criteria, and lytic bone lesion. Table 1 shows the criteria for diagnosis of MM using the old method. The newer method of diagnosis takes into cognizance of the popularly known criteria which uses the end-organ damage as defined using both the classic as “CRAB” criteria for hypercalcemia, renal failure, anemia, and bone lesions and additional criteria including recurrent bacterial infections (> 2 in 12 months), amyloidosis, or symptomatic hyperviscocity. In the newer method, initiation of therapy is an evidence of organ or tissue damage (end-organ damage) [9]. Diagnosis is made by clonal BMPCs of not less than 10% of biopsy-proven bony or extramedullary plasmacytoma or any evidence of myeloma-defining events. The myeloma-defining events in this context include any evidence of end-organ damage or presence of any one or more biomarkers of malignancy such as clonal BMPCs greater than 60%, serum-free light chain ratio greater than 100, and or greater than one focal lesions on magnetic resonance imagery studies. Table 2 shows the current criteria of diagnosis of MM.
Major criteria: |
I Plasmacytoma on tissue biopsy |
II Bone marrow infiltration with >30% BMPCs |
III Monoclonal globulin spike (paraprotein) on serum electrophoresis (IgG >35 g/L and IgA >20 g/L) or on concentrated urine electrophoresis (>1 g/24 h or kappa or lambda light chain) |
Minor criteria: |
A = Bone marrow infiltration with 10–30% plasma cells |
B = Paraprotein less than the level defined earlier |
C = Lytic bone lesions |
D = Normal IgM <0.5 g/L, IgA <1 g/L or IgG <6 g/L |
Criteria for the diagnosis of MM (old method).
Abbreviations: MM, multiple myeloma; BMPC, bone marrow plasma cell; IgG, immunoglobulin G; IgA, immunoglobulin A; IgM, immunoglobulin M.
1. Clonal BMPCs ≥10% of biopsy-proven bony or extramedullary plasmacytoma Any one of the following myeloma-defining events:
|
Criteria for diagnosis of MM (newer method).
Clonal should be established by showing kappa/lambda-light-chain restriction on flow cytometry, immunohistochemistry, or immunofluorescence. BMPC percentage should preferably be estimated from a core biopsy specimen; in case of a disparity between the aspirate and core biopsy, the highest value should be used.
Source: In Table 107-2 [9].
The staging of MM is another important step after diagnosis. The essence of staging is for decision-making on therapeutic interventions and for prognostication of the disease. There are two clinical staging systems for MM. They include the Durie-Salmon staging system and the international staging system (ISS). The Durie-Salmon (D-S) clinical staging system has been in use for more than 30 years, but it has been remodified to a newer staging system useful for the assessment of myeloma tumor mass [9, 12] The old D-S staging system has three stages (I, II, and III) and two subclassifications (A and B). Here, the staging of MM is based on five parameters viz.: the hemoglobin concentration, the serum calcium level, osteolytic bone lesions, serum, and urinary immunoglobulin quantification. The subclassification A in the staging connotes “normal renal status” (evidenced by normal serum creatinine level), while B connotes “abnormal renal state” (evidenced by deranged serum creatinine level). This is shown in Table 3. The modified Salmon-Durie assesses myeloma tumor mass using the old system to stage MM into high tumor mass (stage III), low tumor mass (I), and intermediate tumor mass myelomas (II), which is shown in Table 4. The ISS is based on two widely available parameters, serum beta-2 microglobulin and albumin. This staging system recognizes three stages and can be useful for prognostication of survival intervals of MM patients (Table 5) [13].
1. All of the following |
Hemoglobin >10.5 g/dL |
Serum calcium normal |
X-ray showing normal bone structure or solitary bone plasmacytoma only |
Low paraprotein levels |
IgG < 50 g/L |
IgA < 30 g/L |
Urinary light chain <4 g/24 h |
2. Fitting neither stage I or stage III |
3. One or more of the following: |
Hemoglobin <8.5 g/dL |
Serum calcium >3 mmol/L |
Advanced lytic bone lesions (more than three lytic lesions) |
High paraprotein levels |
IgG >70 g/L |
IgA >50 g/L |
Urinary light chain >12 g/24 h |
Subclassification |
A. Serum creatinine <170 μmol/L |
B. Serum creatinine ≥170 μmol/L |
D-S staging system.
D-S, Durie-Salmon; IgG, immunoglobulin G; IgA, immunoglobulin A.
|
Assessment of myeloma tumor mass (Salmon-Durie).
Estimated number of neoplastic plasma cells.
Data adapted from Durie and Salmon [12]. A remodified D-S staging system.
Stage I | β2M < 3.5 ALB ≥ 3.5 |
Stage II | β2M < 3.5 ALB < 3.5 or β2M 3.5–5.5 |
Stage III | β2M > 5.5 |
International staging system (ISS).
ALB, serum albumin in g/dL; β2M,serum β2-microglobulin in mg/L.
Data from Greipp et al. [13].
The standard assessment of MM requires a panel of investigations, which are carried out periodically postdiagnosis for prognostication and monitoring of the disease response to treatment. These investigations include complete blood count, blood chemistry, serum and urine monoclonal protein assay, C-reactive protein, beta-2 microglobulin test, marrow study, skeletal survey, echocardiogram, immunophenotyping, cytogenetic tests, etc. (Table 6).
Complete Blood Count and differential count; examination of blood film Chemistry screen, including calcium, creatinine, lactate dehydrogenase, BNP, proBNP β2-microglobulin; C-reactive protein Serum protein electrophoresis, immunofixation, quantification of immunoglobulin, serum-free light chains 24-hour urine collection for protein electrophoresis, immunofixation, quantification of immunoglobulins, including light chains Marrow aspirate and trephine biopsy with metaphase cytogenetics, FISH, immunophenotyping; gene array, and plasma labeling index (if available) Bone survey and MRI; PET-CT Echocardiogram with assessment of diastolic function and measurement of interventricular septal thickness; EKG (if amyloidosis suspected) |
Assessment of myeloma.
BNP, brain natriuretic peptide, CT, computed tomography; EKG, electrocardiogram; FISH, fluorescence in situ hybridization, MRI, Magnetic resonance imaging; PET, positron emission tomography; proBNP, prohormone B-type natriuretic peptide.
Source: In Table 107-4 [9].
The prevalence of MM is on the increase in developing countries such as those found in Sub-Saharan Africa [3, 14]. The oil-rich regions are worse hit probably due to a wide range of environmental pollution, flaring of gases, water pollution, oil spillage, and lack of effective environmental policies [6]. This is understandable based on the hypothesis that occupation studies of chemical, petroleum, and radiation industry workers have provided inconsistent evidence of causal association with MM [5]. Another potential etiologic factor that could be a key player in the increasing prevalence is the median age of diagnosis. Studies in Nigeria, Africa’s most populous black nation, have shown that the median age of diagnosis of multiple myeloma is 59.9 years (45–78 years) [14, 15, 16, 17]. This age is less than the 65 years median age of diagnosis recorded by SEER cancer statistics review of 1975–2007 in the USA [18]. The implication of this early age of diagnosis is that more people may likely be diagnosed with MM by the time they attend the age of 65, hence increasing the burden of the disease. The male to female ratio of about 2:1 recorded by most of the studies shows a gender disparity of the disease. However, the later may not have much role to play on the increased prevalence of MM in developing countries.
There is a dearth of data on the diagnosis or prevalence of premalignant plasma cell disease in low- and some middle-income countries. The two known hypothesized precursors of MM are MGUS and smoldering MM. Based on retrospective data from Mayo clinic, MGUS is associated with 1% annual risk of progression to MM, while SMM has 10% annual risk of progression to MM. However, due to lack of resources for making diagnosis at this early stage, these premalignant diagnoses are missed. This ultimately leaves the attending physicians with MM patients who present at advanced stages of the disease.
The diagnosis of MM is made late, usually between Durie-Salmon stages II-A (intermediate myeloma mass) and III-B (high myeloma mass) in developing countries [14, 15, 16, 17]. The mean duration from onset of symptoms to diagnosis in a study was 13.12 months (95% CI, 6.65–19.58) [6, 17]. In some geographic regions, the onset of symptoms to diagnosis can last as long as 10 years [17]. The lack of modern equipments for diagnosis and staging of the disease are the key players in the late diagnosis of MM in most developing countries including Nigeria [14]. Most health institutions in developing countries (especially the low-income) do not have the infrastructural and medical capacities to handle comprehensive assessment investigations for MM patients. In a recent study in Nigeria, it was found that only 72% of patients with a preliminary diagnosis of MM could afford basic assessment tests required for confirmation and staging of the disease. Out of this number, 43 and 55.7% could do immunoglobulin quantification and Bence Jones Protein tests, respectively.
The commonest assessment tests done by the patients are hematocrit, erythrocyte sedimentation rate, skeletal x-ray, bone marrow aspiration, and trephine biopsy in centers where there are hematologists [14, 15, 16, 17]. About 56–60% of MM patients could afford serum electrolyte urea and creatinine assessment tests required for staging the disease [Table 2], while less than 50% of the patients could do serum protein, globulin, and albumin level estimation. The serum albumin is one of the analytes essential for international prognostic staging of MM. The β2M, serum immunofixation test, marrow aspirate and trephine biopsy with metaphase cytogenetic, FISH, immunophenotyping, gene expression profiling (GEP), and plasma cell labeling index (PCLI) are myeloma assessment tests, which are not readily available in developing countries due to the cost and prevailing poverty in the countries. The implication of this is that most MM diagnosed in these regions are cytogenetically unknown and are not internationally staged. Hence, MM patients do not benefit from accurate risk stratification and prognostic assessments as offered to their counterparts in developed countries [19].
These challenges in diagnoses and disease staging contribute to the poor survival outcome of people living with MM in these regions. In a 10-year retrospective study of 26 MM patients in Niger-delta region of Nigeria, only one (3.8%) of the patients could do a marrow metaphase cytogenetic (FISH) test and this happened to be a high risk category (t(4,14) immunoglobulin A)multiple myeloma [3, 20]. In the study, only four subjects could afford immunofixation test, which showed IgA:IgG-type myeloma ratio of 1:3 and this was in keeping with previous study by Salawu and Durosimi [16].
MM poses a diagnostic dilemma for the orthopedic surgeons because of the frequent skeletal manifestations.” It is usually misdiagnosed as an orthopedic disease when in the real sense it is a hematologic disease with orthopedic complications. At advanced stage, it causes multiple lytic bone lesions with severe osteoporosis and pathological fracture. A recent observational study in Nigeria [14] found that about 84.6% of newly diagnosed multiple myeloma patients in Nigeria presented with multiple bone lesions. Pathological fracture constitutes about 42.3% of SREs in the MM patients in the region. It is surprising to note that 84.6% of all newly diagnosed MM are referrals from orthopedic wards [3, 14]. The key players of the bone lesions in multiple myeloma are cytokines namely IL-6 (Interleukin-6), TNF-alpha (tumor necrosis factor), vascular endothelial growth factor (VEGF), platelet derived growth factor (PDGF), and insulin-like growth factor (IGF). These cytokines, especially VEGF and PDGF, have angiogenic effect on the bone marrow microenvironment and this effect favors the growth of myeloma cells in the bone. IL-6, an important osteoclast-activating cytokine, plays an important role in the pathogenesis of osteoporosis in MM [21]. Annibali et al. [22], in their pilot study, described the roles of these cytokines in bone tissue destruction and the effect of zoledronic acid (a bisphosphonate) on their chemical behaviors in MM patients. Other complications such as anemia, hemiplegia, nephropathy, and constipation accounted for 61.5%, 35%, 23%, and 19% of newly diagnosed MM patients in same study. Anemia in MM results from bone marrow invasion by abnormal plasma cells that secret erythropoiesis-suppressive cytokines, and this anemia is usually anemia of chronic disorder [23].
The last step in the management of multiple myeloma is the therapeutic intervention. The current standard treatment for MM is palliative care. This is a holistic treatment that offers supportive, definitive, and psychosocial care for people living with MM [24]. There is a gross inadequacy in the palliative care of MM in developing countries, hence the call to scale-up the care of people living with MM. This is because of the life-threatening nature and the suffering associated with the disease. A recent study has shown that inadequate palliative care accounts significantly for the low survival interval of MM patients [3]. The overall survival interval of MM patients in various studies in a developing country such as Nigeria showed a range of 3 months to 39.7 months [3, 15, 16, 17]. In one of the studies, it was found that only about 7.6% of MM patients survive up to 5 years postdiagnosis. This was far below the estimated 5-year period survival of 32 and 44.9% recorded by Ries et al. [25] and Altekruse et al. [26] in Surveillance, Epidemiology, and End Results (SEER) cancer statistics review of 1975–2002 and 1975–2007, respectively, in the USA. The implication is that many LMICs are more than 40 years backward in terms of management of MM compared to high-income countries such as the USA. The two major challenges in the treatment of MM in developing countries are anchored on the supportive and definitive treatment of MM.
The standard supportive care for MM patients at advanced stage of the disease, which include the use of analgesics, bisphosphonates (BPs), component blood therapy, antibiotics therapy, renal dialysis viz-a-viz renal transplant, radiotherapy, orthopedic care, is grossly inadequate. Chronic bone pain appears to be one of the commonest clinical features of MM, and analgesic drug is the first supportive therapy offered to patients with the disease. However, in the assessment and treatment of pain in MM patients in some low-income countries such as Nigeria, the WHO analgesic ladder for cancer pain control is not usually adhered to, as only few centers can access oral morphine and other opiate analgesics [27]. This leads to analgesic abuse (self-medication), most of which are nephrotoxic, hence, worsening the prognosis of the disease. A study showed that less than 40% of MM patients could afford BPs. BPs are useful in preventing, reducing, and delaying MM SREs such as bone pain, osteoporosis, and other lytic bone lesions. They can also help to control the growth of extramedullary tumors, hence the need to scale-up their usage in MM [22, 28].
There is a gross inadequate access to radiation therapy in LICs including Nigeria. Studies have shown that only about 3.8–20% (average 12%) of MM patients who need radiotherapy at one point or the other of the disease could access it [3, 17]. The major reason is that the megavoltage radiotherapy machine per population size is grossly inadequate (1-MV machine per 24 million population as against the International Atomic Energy Agency (IAEA) requirement of 1-MV machine per 250,000 population or per 350–400 new cancer patients in centers with excellent cancer registry) [29].
About 60% of MM patients seen in LICs such as Nigeria present with severe grade of anemia (hemoglobin <7 g/dL). The implication is that they will rely on blood transfusion therapy in order to improve the quality of their life. Unfortunately, many of the LICs do not practice safe blood transfusion. They depend majorly on commercial (paid) blood donation as against voluntary non-remunerated blood donation (VNRBD), thereby predisposing the patients to transfusion transmissible infectious diseases (TTIs) including HIV [30]. The facilities for component blood therapy (i.e., apheresis machines) are not available in most health centers. For instance, there was no documented beneficiary from component blood therapy in previous studies in Nigeria. All severely anemic patients that require blood transfusion benefited from either allogeneic whole blood transfusion (50%) or the use of erythroid growth factor such as human recombinant erythropoietin (38%) [3, 14].
Infection is one of the major killers in MM in LICs, especially when immune paresis has set in. About 11.1% of MM patients present with neutropenic sepsis in this region. Infection control is by the use of antibiotic therapy/prophylaxis and colony forming unit-granulocyte-monocyte agents (CFU-GM) such as filgrastim or neupogen. However, the later is usually expensive and only very few patients can afford it, hence worsening the survival outcome of the disease [3].
There is an increase in the incidence of nephropathy in MM in LICs. A range of 16–36% was recorded in previous studies in Nigeria [3, 17, 31] as against 20% in the USA [32]. A striking finding about the nephropathies in MM patients in LICs is their severity at presentation, which qualifies most of them for renal dialysis (or renal transplant). However, this is an expensive palliative intervention as only very few patients can comply with the courses of dialysis, which may not be available in some centers.
In African continent, the major complications that bring MM patients to the hospital for the first time are operable (surgical) complications. A recent study revealed that 56.7% of patients diagnosed with MM received different forms of surgery ranging from craniotomy (plasmacytoma of the skull), partial cystectomy (solitary plasmacytoma of bladder), to internal fixation of orthopedic pins due to SREs complications arising from myeloma cells. Surprisingly, these complications have set in long before diagnoses were made. The presence of extramedullary plasmacytoma indicates poor prognosis, and this is worsened further in the absence of involved field radiotherapy (IFR) [33].
The standard definitive interventions for people living with MM are antimyeloma chemotherapy regimens and stem cell transplantation (autologous stem-cell transplantation (ASCT)). The antimyeloma chemotherapeutic regimens have undergone series of transformation and evolution over the years. The current antimyeloma therapeutic agents have changed the paradigm in the management of the disease. These agents have the best effect in improving the quality of life and overall survival intervals of MM patients. They have positively changed the course of the disease especially in high-income countries where they are relatively more available. This has been due in large part to a better understanding of the biology of the disease and the development of several highly effective therapies. They include proteasome inhibitors [PI] (bortezomib, carfilzomib, ixazomib, marizomib, and oprozomib), immunomodulatory [IMiD] agents (thalidomide, lenalidomide, and pomalidomide), monoclonal antibody therapies (elotuzumab, daratumumab, and siltuximab), Bcl inhibitor (navitoclax), FGFR3 inhibitor (dovitinib), and histone deacetylase (HDAC) inhibitors (panobinostat, romidepsin, vorinostat, and rocilinostat). These agents include those that target the myeloma itself, some that target the bone marrow microenvironment, and those that target both [34].Unfortunately, these agents are not readily available in low- and some middle-income countries (LMICs) including Nigeria. The huge disparity in income, health-care infrastructure, and access to novel drugs in LMICs hinders the delivery of optimum care to every patient with MM in the region [35] due to limitation in purchasing power.
There may be no “standard therapy” for MM treatment, based on the many novel therapies, which have emerged for the treatment of the disease. The treatment approaches that are often referred to as standard are usually those with strong evidence of clinical efficacy. Although a recent clinical trial has shown that a combination of PI and IMiD will make for a standard regimen when added with dexamethasone [36], the current opinion is in favor of individualized treatment options, which is based not only on cytogenetic risk classification, but also on host factors, disease stage, and a variety of other prognostic factors.
According to the National Comprehensive Cancer Network (NCCN) guidelines, the consensus standard of care in newly diagnosed MM who have no intention for ASCT is RVD (lenalidomide, bortezomib, and dexamethasone) [36]. This is because RVD has improved median overall survival (OS) compared to conventional RD (75 months versus 64 months; HR 0.709; two-sided p = 0.025), improved overall response rate [ORR] (82 versus 72%), and improved progressive-free survival (PFS) (43 months versus 30 months, HR 0.712; one-sided p = 0.0018) [37, 38].
This consensus standard of treatment of MM is yet to be achieved in many developing countries. Unlike in developed countries where treatment is beginning to be customized based on mapping of patient’s genome, most low-income countries are yet to offer their patients such opportunities. In Nigeria, the major antimyeloma chemotherapy drug is the old conventional alkylating agent known as melphalan (M), which is usually combined with a steroid (i.e., prednisolone, P) as a double or triple-only combination regimen. MP is still the most accessible commonly used regimen for treating MM patients because of the cost and availability, long after it has been phased out for treating MM patients in developed countries. About 84% of newly diagnosed MM patients in some LICs still depend on MP doublet combination regimen [3].This is contrary to the standard RVD triplet regimen accepted worldwide as the current treatment of choice for MM. About 28% of MM patients from the group of patients already on MP could afford a “partial-standard” triplet regimen made up of either one PI (i.e., bortezomib-melphalan-prednisolone VMP (7.7%)) or one IMiD agent (i.e., thalidomide-melphalan-prednisolone TMP (19.7%). “Partial” in this context connotes combination of a target (novel) therapy with old conventional regimen (i.e., MP in this case). However, a recent study in Nigeria has shown that up to 16.7% of MM patients use bortezomib-thalidomide-dexamethasone (BTD) as their first-line regimen [39]. Although RVD has a better median overall survival (OS), progressive free survival (PFS) and overall response rate (ORR) compared to BTD, this is a move toward the right direction as the latter regimen is close to the standard regimen (RVD) in terms of the benefits derived from a PI and IMiD combination regimens [36]. But, again, this is a bad news for many developing countries as less than 20% of MM patients in the region could access close-to-standard (partial) antimyeloma regimen [40]. The remaining 16% constitute the MM patients who are either on unclassified (i.e., neither known old conventional nor new novel therapy) antimyeloma regimens (such as vincristine adriamycin dexamethasone VAD, CVP, and CVAP) or not on any cytotoxic chemotherapy [3].
Stem cell transplantation (i.e., ASCT) is not a common option of treatment of MM in most developing countries. The only patient (3.8%) who benefited from this intervention from a previous study was outside Nigeria and the patient died two years posttransplantation. There is paucity of data regarding stem cell transplantation in most LICs especially those from Sub-Saharan African region. For instance, no center offers ASCT in Nigeria presently. Although few successful attempts on allogeneic stem-cell transplantation have been made in a center in Southern Nigeria (on sickle cell disease), but it has not been sustainable due to technological inequalities, brain drain of health workers, lack of funding, and political-will from the government. The public health system does not guarantee health insurance coverage for oncology treatment and stem-cell transplantation. Transplant-eligible patients who require stem-cell transplantation usually pay out from their pockets, and this could add to another burden to the patients [41, 42, 43]. However, in high-income countries, the reverse is the case and the survival outcome is usually better.
There is no standard National cancer (MM) registry or Surveillance Epidemiology End-Result (SEER) cancer statistics review center in most developing countries including Nigeria. This has hindered getting accurate statistics of the disease in most developing countries.
There are no standard guidelines for the treatment of MM in many developing countries including Nigeria. This is responsible for the disparities in some of the outcomes. A lot of confounding issues have arisen as a result of disharmony in the management of the disease in many developing countries. There is a need to control all confounding issues that may arise as a result of heterogeneous management of the MM in developing countries. Each country is expected to design its own consensus guidelines that will best serve the patients putting international best practices in mind.
One of the components of a good palliative care of people living with terminal diseases such as MM is the psychosocial care. In developed countries, the social workers and the spiritualists have their roles to play in order to improve the quality of life of the patients. For instance, some patients who have financial challenges in procuring their treatment may not access social workers either because they are not there or they might be there but they are not functioning. This may create more health burden or even cause death of the patients in some cases.
Late diagnosis and inadequate palliative care are the hallmarks of poor prognosis and overall survival outcome of MM in developing countries [3]. There is a need to educate the physicians, especially orthopedic surgeons, renal physicians, and gastroenterologists to exercise higher index of suspicion, as they are usually the first to see such patients [44].
The government, stakeholders in health institutions, and donor agencies who are passionate for MM have a role to play in its management toward improving the quality of life of people living with the disease. This is achievable by improved funding of MM research and treatment in developing countries. The public health system should as a matter of urgency provide health insurance coverage for the management of MM patients especially in LICs such as Nigeria where the over 62% of population lives on extreme poverty of less than two dollars per day [41].
There is also a need to build special centers designated for the treatment of MM where all relevant modern health-care facilities/equipments for diagnosis, risk assessments, and treatment of MM should be available, while taking into cognizance international best practices for the management of the disease.
Adequate access to radiation therapy is a crucial component of modern multidisciplinary cancer care including MM. There must be a strict adherence to the IAEA recommendation of one megavoltage machine per 400 new cancer patients in areas with excellent cancer registry or one per 250,000 population size in areas without excellent cancer registry. The implication is that in countries like Nigeria where there are barely five functioning radiotherapy machine, the number has to be scaled up between 260 and 840 megavoltage units taking into cognizance a population size of 210 million people (based on 2006 population census and average annual growth rate of 3.1%) [29].
Supportive care of people living with MM must take into cognizance psychosocial health of the individuals and their families. This is the only way forward in ensuring a holistic care and improved quality of life of these patients. Every component of palliative workforce including the social workers must be involved in realizing this goal.
There is a need to scale-up definitive treatment of MM in developing countries using stem-cell transplantation. Autologous non-cryopreserved stem-cell transplantation avoids the cost of establishing and maintaining a cryopreservation facility, and this can be feasible in transplant centers in economic-constrained regions [45, 46]. Studies have shown that high-dose melphalan with autologous stem-cell support improves the survival rate for patients with myeloma. Also, when they are carefully selected for treatment with ASCT, they can be managed with a brief initial hospitalization and outpatient follow-up, with low morbidity and mortality [47, 48, 49, 50].
Also, efforts should be intensified to set up excellent cancer (MM) registries in developing countries so as to improve on the statistics and epidemiology of MM and other cancer diseases. Each country is expected to formulate its own consensus guidelines that will best serve the patients using international best practices.
Members of the class
Membership of the mycolic acid-containing actinobacterial (MACA) group has expanded considerably over the past 20 years with revisions to the classification of existing species and the publication of copious new mycolate species and genera [2]. This substantial and metabolically diverse group therefore warrants further attention in the search for valuable biosurfactants. This chapter provides an overview of the current knowledge on biosurfactants produced by members of this group and describes approaches to the recovery, screening and biosurfactant-producing strains from the environment and their growth requirements. Methodologies applied to screen for biosurfactant production and for extraction, purification, and structural elucidation of biosurfactant compounds are also described. Current and potential future applications of biosurfactants derived from MACA are examined with particular focus on potential biomedical and environmental possibilities.
Microbial biosurfactants are amphipathic compounds, with both hydrophilic (polar) and hydrophobic (non-polar) moieties. The hydrophobic portion has saturated, unsaturated, or hydroxylated long-chain fatty acids and the hydrophilic portion can contain amino acids, carbohydrate, carboxyl acid, peptides, phosphate, or alcohol [3]. Biosurfactants may be categorised according to molecular weight (low or high), ionic charge (anionic, cationic, neutral, or non-ionic) or according to chemical composition and structure. The main classes of biosurfactants include fatty acids, glycolipids, lipopeptides, lipoproteins, neutral lipids, phospholipids, and polymeric biosurfactants. Their amphipathic nature enables biosurfactants to partition at water-air, oil-air, or oil-water interfaces thereby reducing surface and/or interfacial tension. They exhibit many other useful properties including de-/emulsification, dispersion, foaming, lubrication, softening, stabilisation, viscosity reduction and wetting [4].
Biosurfactants may be located intracellularly, on the cell surface (cell-bound) or excreted extracellularly (free) [5] and are produced during growth on both hydrophilic and hydrophobic substrates, to reduce surface or interfacial properties of the microbial cell or the surrounding environment. Biosynthesis of these compounds is required for gliding, motility, swarming, and biofilm formation. Biosurfactants also mediate between cells and hydrophobic compounds, enabling enhanced solubilisation and uptake across the cell membrane for utilisation as a substrate for growth and energy (Figure 1).
Emulsification of hydrocarbons by microbial biosurfactants to enhance bioavailability.
Many microbially derived biosurfactants are already used in diverse industries including agriculture, bioremediation, cosmetics, food, healthcare and medicine, and the petrochemical industry (Figure 2). In addition to being multifunctional, biosurfactants have several advantages over chemically synthesised surfactants. They are less/non-toxic and biodegradable, have higher surface activity and lower critical micelle concentrations (CMC), greater biocompatibility and selectivity, they function over wide pH, salinity, and temperature ranges, and can be produced using renewable and waste substrates [6]. These unique eco-friendly features make biosurfactants particularly attractive options as industries focus on longer-term sustainability and working towards a circular economy.
Various sectors of application for microbial biosurfactants.
The MACA form a phylogenetically coherent group that resides in the order
Mycolic acids, which are high molecular weight 3-hydroxy fatty acids with a long alkyl branch in the 2-position, represent the major lipid constituents of the cell envelope of these organisms. They show structural variations from relatively simple mixtures of saturated and unsaturated compounds in corynebacteria to highly complex mixtures in mycobacteria. Mycolic acids also vary in the number of carbons on the 2-alkyl-branch from C22–C38 in corynebacteria to C60–C90 in mycobacteria [9]. Mycolic acids play an essential role in the architecture and functions of the cell envelope, where attached to the cell wall arabinogalactan they help to form a barrier that contributes to impermeability and resilience and conveys hydrophobicity to the cell surface. Trehalose mycolates, also termed cord factors, play an important role in pathogenicity in mycobacterial species that cause infection [9]. The presence and carbon chain length of mycolic acids can be used as taxonomic markers for the identification and classification of actinobacteria to the order
Members of order
Genus | Micro-morphology | Acid-fastness | Aerial hyphae | Visible colonies (days) | Strictly aerobic |
---|---|---|---|---|---|
Pleomorphic rods, often club-shaped in palisade or angular arrangements | Some weakly acid-fast | Absent | 1–2 | No | |
Short rods and cocci | No | Absent | 1–3 | Yes | |
Rods, cocci and/or moderately branching hyphae | Partially acid-alcohol fast | Absent | 1–3 | Yes | |
Cocci occur singly, in pairs, tetrads or in groups | Slightly acid–alcohol-fast | Absent | 2 | Yes | |
Pleomorphic bacilli and cocci | Partially acid-fast | Absent | 5–7 | No | |
Short rods | Acid-alcohol fast | Absent | 1–3 | Yes | |
Rods, occasionally branched filaments that fragment to rods and cocci | Strongly acid-fast | Rare | 2–40 | Yes | |
Mycelia that fragment into rods and cocci | Partially acid-fast | Present | 1–5 | Yes | |
Rods to extensive substrate mycelia that fragment to irregular rods and cocci | Partially acid-fast | Absent | 1–3 | Yes | |
Rods | Acid-alcohol fast | Absent | 3–4 | Yes | |
Acute angled branched mycelia | No | Only visible under the microscope | 10–21 | No | |
Coccoid | ND | Absent | 7–14 | Yes | |
Irregular rods | ND | Absent | ND | Yes | |
Single rods or in pairs or masses, sometimes rudimentary filaments and coccobacillary forms | Partially alcohol-acid fast | Absent | 1–3 | Yes | |
Thin rods or cocci in pairs or clusters | ND | Present | 1–4 | Yes |
General phenotypic features of mycolate genera classified in the order
ND, not determined.
Adapted from [2].
The appearance of (a)
Chemotaxonomy is the study of the distribution of various cell wall components to classify and identify strains and is particularly useful to differentiate between the various mycolic acid-containing genera. Cell wall markers typically used to differentiate between MACA genera are summarised in Table 2. Some of the methods used to analyse these chemotaxonomic markers provide quantitative or semi-quantitative data, as in the case of fatty acids, whereas other techniques provide only qualitative data as in the case of muramic acid type and phospholipid pattern.
Genus | Mycolic acids (chain length) | Fatty acids* | Phospholipid type | Major menaquinone(s) | Muramic acid type | gDNA G + C (mol%) |
---|---|---|---|---|---|---|
22–38 | S,U | I | MK-8(H2) | Acetylated | 51–67 | |
34–38 | S,U,T | II | MK-8(H2) | Acetylated | 65.5–73 | |
46–66 | S,U,T | II | MK-9(H2) | Glycolated | 63–69 | |
30–38 | II | MK-8 | Acetylated | 49.3–61.8 | ||
α+-mycolate | S,U | I | MK-9 | Acetylated | 58.6 | |
44–52 | S,U, T | II | MK-8(H2) | Glycolated | 64.7 | |
60–90 | S,U,T | II | MK-9(H2) | Glycolated | 57–73 | |
48–60 | S,U,T | II | MK-8(H4, Ѡ-cycl) | Glycolated | 63–72 | |
30–54 | S,U,T | II | MK-8(H2) | Glycolated | 63–73 | |
α+-mycolate | T | 68–72 | ||||
58–64 | S,U,T | II | MK-8(H4, Ѡ-cycl) | Glycolated | 67.5 | |
43–49 | S,U | II | SQA-8(H4, Ѡ-cycl) SQB(H4, dicycl) | Glycolated | 63.7 | |
42–52 | S,U | II | MK-9(H2) | Glycolated | 67.5–71.6 | |
64–78 | S,U,T | II | MK-9 | Glycolated | 67–78 | |
50–56 | S,U,T | II | MK-9(H2) | Glycolated | 64–65 |
Chemotaxonomic features of mycolate genera classified in the order
S, straight-chain saturated fatty acids; U, straight-chain unsaturated fatty acids; T, tuberculostearic acid.
Adapted from [2].
Reliable identification of MACA strains to species level depends upon phylogenetic analysis of the gene encoding 16S rRNA and DNA:DNA homology determination provides definitive delineation of species with 70% homology and above signifying membership of same species [11]. Increasingly, whole-genome sequencing (WGS) is becoming a standard technique and comparative genomic analysis is providing useful insights to the relatedness and divergence of MACA species [11]. Protein sequences from
In addition to
Types and key structural features of various biosurfactants produced by MACA. (Adapted from [
MACA are widely distributed in the environment including natural habitats such as mangroves, soil, freshwater, and deep ocean sediments as well as man-made sites such as activated sludge foams, biofilters, industrial wastewater and indoor building materials. Although predominantly saprophytic, many species are opportunistic pathogens forming parasitic associations with plants and animals, including humans, notably immunocompromised individuals. Several members of the genus
MACA capable of producing various biosurfactants have been isolated from environments (Table 3) including oil-contaminated soils [24, 25], water from oil wells [26], wastewater from the rubber industry [21], activated sludge, and effluent and sediment from pesticide manufacturing facilities [23]. The ability of MACA to produce biosurfactants in these habitats appears to be driven by the environmental conditions to which they are exposed whereby the biosurfactants act as mediators for the biodegradation of hydrophobic carbon substrates. Genes involved in biosynthesis of rhamnolipids by
MACA species | Source of isolation | Biosurfactant type | References |
---|---|---|---|
Deep-sea hydrothermal field | Di-rhamnolipid (DRL) | [15] | |
Water and sediments collected from oil-polluted seasonal ponds | Methylated ester | [16] | |
Oil contaminated seawater | Rhamnolipid | [17] | |
Activated sludge foam | THL | [18] | |
HS-11 | Oil contaminated soil | Glycolipid | [19] |
Agricultural soil | Glycolipid | [20] | |
Water polluted by rejections of 2-mercaptobenzothiazole and its derivatives used in the rubber industry | Fatty acid methyl esters | [21] | |
Fell field soil | Rhamnose-containing glycolipid | [22] | |
Effluent-sediment collected from a pesticide manufacturing facility | THLs | [23] |
Various environmental sources of biosurfactant-producing MACA.
Isolation of biosurfactant producers largely relies on selective isolation strategies, utilising hydrophobic compounds as sole carbon sources for energy and growth. Typically, strains are isolated and cultivated using mineral salt medium containing essential trace elements supplemented with a hydrocarbon substrate such as crude oil, diesel, n-alkanes, n-hexadecane, paraffin, polyaromatic hydrocarbons (PAHs), or vegetable oils such as olive oil and rapeseed oil, as the sole carbon source. These may be incorporated into the liquid or solid medium, spread across the agar surface or soaked onto a filter in the lid of petri dishes. Besides the selectivity of the culture medium, pre-enrichment techniques utilising hydrophobic compounds as the sole carbon source, can be used [27]. The principle of enrichment is to provide growth conditions that are favourable for the organisms of interest but not for competing organisms. This selective advantage allows target populations to expand through a series of passages, maximising the chances of successful recovery at the isolation stage. Incorporating antibiotics into the isolation media may provide a useful additional selective pressure to eliminate or reduce unwanted fungi and bacteria.
The ability of an organism to grow on hydrophobic compounds is a good indicator of biosurfactant production but is not a guarantee. It is therefore important that isolates of interest are tested in pure culture for biosurfactant production using further screening assays. It is also possible that biosurfactant-producing organisms may be present in an environment but not enriched by in the conditions provided or indeed producers may be recovered from the environment but not synthesize biosurfactants under the culture conditions imposed. Mining genomes for cryptic biosurfactant biosynthesis pathways, and metagenomic screening of DNA from environmental samples promise an alternative approach to biosurfactant discovery that may circumvent some of the issues associated with culture-dependent strategies [28].
A variety of methods, both qualitative and quantitative, have been applied to screen microbial cultures and cell-free media for total (intracellular, surface-bound, and freely released) and freely released biosurfactants, respectively. As biosurfactants are structurally diverse, complex molecules, most of these methods are indirect, reliant on physico-chemical properties such as emulsification, surface activity or hydrophobicity. Commonly reported screening methods used to detect biosurfactant production amongst MACA strains are listed in Table 4. Besides the bacterial adhesion to hydrocarbons (BATH) assay [37] other tests based on cell surface hydrophobicity include salt aggregation [38] and hydrocarbon overlay [39] assays. The atomized oil assay [40] may be used to directly screen colonies growing on primary isolation plates and is therefore useful as an initial screen for novel-producing strains recovered from the environment. The microplate assay [41] which relies on the wetting properties of biosurfactants and the penetration assay [42], which relies on the reduction of interfacial tension are also considered useful for screening large numbers of strains. Recently, a rapid, high throughput assay that utilises Victoria pure blue BO dye, and is based on surface-active properties, has been developed for quantitative screening, but has not yet been applied to MACA [43].
Detection property | Screening method | MACA species | Reference |
---|---|---|---|
Surface activity | Oil spreading | [29] | |
[30] | |||
[31] | |||
Drop collapse/ modified drop collapse | [20] | ||
[29] | |||
Surface and interfacial tension measurement | [14, 26, 29] | ||
[20, 30, 32] | |||
[18] | |||
[31, 33] | |||
[17] | |||
Emulsification | Emulsification assay | [34] | |
Emulsification index | [14, 22, 35] | ||
[30, 32] | |||
[18] | |||
[31, 33] | |||
[17] | |||
Cell-surface hydrophobicity | Microbial adhesion to hydrocarbons (MATH)/BATH assay | [22] | |
[36] | |||
[33] | |||
[17] |
Examples of screening methods used to detect biosurfactant production by MACA.
These assays are simpler and more rapid than chemical analytical procedures, and most enable larger-scale screening for biosurfactant production. However, perhaps owing to the general and indirect nature of these assays and various limitations associated with some, test results between assays are not always congruent and no one assay is considered definitive for biosurfactant production. It is thus advisable to use several methods in combination, adopting simple methods to undertake preliminary screening of large strains collections prior to further investigation of those found to be most promising. The development of high-throughput screening, metabolic profiling technologies, and whole-genome analysis promise a more thorough investigation of potential biosurfactant producing strain in the future [28].
Crude biosurfactant extracts may be obtained from cell cultures (cell-associated and free surfactants) or cell-free broth (free surfactant only) by acidification and solidification followed by solvent extraction of the precipitate. In the case of MACA commonly used solvents include MTBE, dichloromethane, or varying ratios of chloroform–methanol or MTBE–chloroform [44]. Various analytical techniques are used in combination to detect, quantify, and characterise biosurfactants. Thin layer chromatography (TLC) is a straightforward method to separate biosurfactant fractions present in crude extracts. Samples are spotted at the base of a silica plate before development in a solvent system, then air-dried and sprayed with a particular reagent to detect certain chemical groups based on spot colour and/or
High-performance liquid chromatography-mass spectrometry (HPLC-MS) allows more precise and accurate characterisation and quantitation of biosurfactant compounds. Isocratic HPLC-UV has been reported for structural and yield determination of THLs produced by
A combination of Fourier transform infrared spectroscopy (FTIR), NMR, and liquid chromatography-mass spectrometry (LC-MS) enabled structural characterisation of a novel cyclic lipopeptide, Coryxin, produced by
Biosurfactants produced by rhodococci and related MACA have been investigated primarily for their potential application in oil remediation but are otherwise under-studied and under-exploited. However, research studies reveal various potential applications for these molecules, including in environmental and medical fields as summarised in Figure 5.
Promising medical and environmental applications for biosurfactants produced by MACA.
Biosurfactants produced by microorganisms are reported to have various potential biomedical and pharmaceutical applications which have been reviewed widely [1, 51, 52]. This stems from an array of biological properties including anti-adhesion and antibiofilm, anti-inflammatory, antimicrobial (anti-bacterial, anti-fungal and anti-viral), antioxidant, anti-tumour, and wound healing activities. Other potential applications include adjuvants for antigens in vaccines, pulmonary surfactants, drug delivery systems, enhanced vehicles for gene therapy and in dermatological care. Biosurfactants also have several applications in therapeutic dentistry [53]. Daptomycin, a cyclic lipopeptide produced by the actinobacterium
Strain (origin) | Biosurfactant | Biomedical properties | Reference |
---|---|---|---|
Purified Coryxin (lipopeptide) | Antibacterial activity, biofilm inhibition and disruption of pre-formed biofilms of Gram-positive | [48] | |
Aliphatic macrolide (Brasilinolide) | Moderately antifungal against | [56] | |
THL | Anti-tumour activity: cytotoxic effects on human tumour cell lines BV-173 and SKW-3, and to a lesser extent, HL-60. Mediated cell death by the induction of partial apoptotic DNA laddering | [57] | |
Complex of amino lipids; neutral lipids (mycolic and | Anti-adhesive activity against Gram-negative bacteria | [58] | |
Purified STL-1 | [59, 60] | ||
Complex of trehalose mono- and di-mycolates; neutral lipids (cetyl alcohol, palmitic acid, methyl ether of | Antibacterial activity against Gram-positive bacteria | [58] | |
Anti-adhesive activity against Gram-negative bacteria and fungus | |||
THL | Antibacterial activity against | [61] | |
Extracellular complex of glycolipids (crude extracts and purified fractions) | Antiviral activity against HSV-1 and human coronavirus HCoV-OC43. Antiproliferation activity against human prostatic carcinoma cell line PC3 | [62] | |
Crude trehalolipids | Anti-adhesive activity against exponentially growing Gram-positive bacteria | [63] | |
Mixture of TDM, diacyltrehalose and monoacyltrehalose isolated by column chromatography | [64] | ||
[65] | |||
Glycolipid | [66] | ||
Monoacyltrehalose fraction (MAT) | [67] | ||
Analogues of STL-3 | Inhibited growth and induced the differentiation of human HL-60 promyelocytic leukaemia cell line | [66] | |
Purified oligosaccharide lipids | Antimicrobial activity against Gram-positive bacterial strain of | [67] |
Biomedical research on biosurfactants produced by MACA.
The amphipathic nature of biosurfactants makes them suitable for anti-adhesion and anti-biofilm applications such as the development of anti-adhesive coatings for intra-urinary devices that are prone to the formation of intractable biofilms, to prevent or delay the onset of biofilm growth by pathogens such as
Glycolipid bearing mycolic acids, such as trehalose dimycolate (TDM) have attracted extensive investigation as they play a central role in pathogenesis during infection by intracellular pathogens such as
Although biologics including surfactants are generally regarded as less toxic than synthesized pharmaceuticals not much work has focussed on this with respect to MACA surfactants. However, a THL from
Biosurfactants have a range of promising, and increasingly important, applications in the environmental, industrial, and agricultural sectors (Table 6). These include bioremediation of both organic pollutants (especially hydrocarbons) and metals, microbial enhanced oil recovery (MEOR), cleaning and maintenance of tanks and pipelines in the petroleum industry, wastewater treatment, and agricultural applications such as promotion of plant growth/health and inhibition of phytopathogenic fungi [1, 78]. MACA-derived surfactants have been investigated in some of these contexts, although the focus is on well-known species such as
Application | Examples of MACAs | Reference/s |
---|---|---|
Bioremediation: enhanced hydrocarbon solubility and degradation | [15] [33] [34] [32] [17] [29] [23] | |
Bioremediation: soil washing | [30] [71] | |
MEOR | [72] [73] [74] [24] | |
Bio-demulsification: treatment of water-oil emulsions generated during processing of petroleum | [75] | |
Paraffin control in oil transport pipelines | [76] | |
Bioflocculation (e.g., for oil recovery from wastewater) | [77] |
Various potential environmental applications of biosurfactants produced by MACA.
Pollution of soils with organic and inorganic chemical compounds is a major environmental issue. Biosurfactants are used to improve the solubility of hydrocarbon organic compounds, either to make them available for subsequent biodegradation or to facilitate removal by soil washing. A remediation agent called JE1058BS containing biosurfactant from
The properties and actions of biosurfactants make them particularly relevant to the petroleum industry. MEOR is perhaps the most well-known application in this area. Biosurfactants, or biosurfactant-producing microorganisms, are used to extract some of the oil remaining in reservoirs after primary and secondary processing has been carried out. Mechanisms include reduction of capillary forces holding the oil in porous rock, stabilisation of desorbed oil in water and increased viscosity of oil for easier removal [83].
Biosurfactants may also be used to de-emulsify water–oil emulsions that form during oil production in the oilfields, as well as during transportation, and processing and offer a more ecologically friendly solution than chemically synthesized de-emulsifiers. A lipopeptide bio-demulsifier produced by
Biosurfactants have been shown to reduce phytotoxicity of heavy metals, and pre-treatment of seeds could allow plants to be grown successfully in contaminated soil, facilitating phytoremediation of the environment. Crude biosurfactant from
The use of biosurfactants in environmental and industrial applications is limited by the current high costs of production, and the large amounts of biosurfactant required. However, using waste and/or renewable substrates would be cheaper, and a highly purified product is not essential so costs of downstream processing can also be reduced. In addition, different approaches such as selective stimulation of biosurfactant producers
Currently, commercial production of biosurfactants is not economically competitive with chemical surfactant production as there are various challenges to overcome. Bioprocesses presently achieve low biosurfactant productivity and yield and substrates are expensive [6]. Foam formation can cause serious operational issues and downstream biosurfactant recovery can be technically involved and costly. Development work to optimise bioprocesses should focus on enhancing biosurfactant yield and potency. Approaches include the search and discovery of novel biosurfactant-producing organisms and strain improvement by various genetic engineering methods and/or stress-fermentation including co-cultivation [84]. Yield can also be enhanced through the optimisation of culture conditions and costs reduced through the introduction of renewable or waste products [6, 28, 77] as cheaper feed stocks. The effects of biosurfactants on human health and the environment also require further assessment to ensure safe production and use.
Biosurfactants offer an attractive proposition for biotechnological application across various sectors and are considered superior to synthetic surfactants. Diverse MACA produce biosurfactants with interesting properties that have been explored in the context of biomedicine and environmental remediation. However, many MACA have not yet been investigated for biosurfactant production and various potential applications are yet to receive significant research. Rapid, reliable methods for high throughput screening for biosurfactant production are essential as are robust standard methods for biosurfactant purification and characterisation. Efforts to evaluate and expand the knowledge of structural characteristics and gene regulation of biosurfactants are warranted to improve their effectiveness and productivity. Commercial-scale production will need to employ various existing and new strategies to become economic and sustainable. Cutting-edge technologies such high-throughput omics-based tools should accelerate the development of commercial production of biosurfactants. Furthering our understanding of biosurfactants produced by MACA will facilitate their commercial exploitation thereby contributing to a sustainable bio-based economy.
The authors declare that there is no conflict of interest.
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Genomics studies of large populations are producing a huge amount of data, giving rise to computational issues around the storage, transfer, and analysis of the data. Fortunately, cloud computing has recently emerged as a viable option to quickly and easily acquire the computational resources for large-scale NGS data analyses. Some cloud-based applications and resources have been developed specifically to address the computational challenges of working with very large volumes of data generated by NGS technology. In this chapter, we will review some cloud-based systems and solutions for NGS data analysis, discuss the practical hurdles and limitations in cloud computing, including data transfer and security, and share the lessons we learned from the implementation of Rainbow, a cloud-based tool for large-scale genome sequencing data analysis.",book:{id:"5416",slug:"cloud-computing-architecture-and-applications",title:"Cloud Computing",fullTitle:"Cloud Computing - Architecture and Applications"},signatures:"Shanrong Zhao, Kirk Watrous, Chi Zhang and Baohong Zhang",authors:[{id:"176364",title:"Dr.",name:"Shanrong",middleName:null,surname:"Zhao",slug:"shanrong-zhao",fullName:"Shanrong Zhao"}]}],onlineFirstChaptersFilter:{topicId:"9",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"82999",title:"Understanding the Artificial Intelligence Implementation for Allocating an Order to a Seller among Multiple Sellers Who Sell the Same Product",slug:"understanding-the-artificial-intelligence-implementation-for-allocating-an-order-to-a-seller-among-m",totalDownloads:1,totalDimensionsCites:0,doi:"10.5772/intechopen.105560",abstract:"E-commerce sectors are growing rapidly worldwide and it adopts the new technological innovation drastically, such as embracing artificial intelligence in e-commerce sectors. 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Modern technologies provide an opportunity to create a stronger bond between the higher education institution and its stakeholders, among whom students and employees are the most important and those who have the greatest needs in terms of the number and frequency of use of e-services. The main objective of this chapter is to explore the role of e-services in relationship management in the higher education complex ecosystem. There is a possibility to digitize a lot of traditional higher education touchpoints, such as everyday administration processes, admission, enrollment, relevant information sharing, e-learning, Q&A, and similar. The comprehensive e-services system was developed and implemented in one of the higher educational institutions. The upcoming generations of students are increasingly likely to have prominent previous experience with the major use of digital technologies as a part of their elementary and secondary level education. Higher education institutions should expand the portfolio of their e-services, given that the demands of students are expected to increase in the future.",book:{id:"11914",title:"E-service Digital Innovation",coverURL:"https://cdn.intechopen.com/books/images_new/11914.jpg"},signatures:"Adam Malešević"},{id:"82995",title:"A Hybrid Genetic, Differential Evolution Optimization Algorithm",slug:"a-hybrid-genetic-differential-evolution-optimization-algorithm",totalDownloads:3,totalDimensionsCites:0,doi:"10.5772/intechopen.106204",abstract:"This chapter presents a heuristic evolutionary optimization algorithm that is loosely based on the principles of evolution and natural genetics. In particular, this chapter describes an evolutionary algorithm that is a hybrid of a genetic algorithm and a differential evolution algorithm. This algorithm uses an elitist, ranking, random selection method, several mutation methods and both two level and three level Taguchi crossover. This algorithm is applied to 13 commonly used global numerical optimization test functions, including a spherical, three hyper-ellipsoid, the sum of different powers, Rastrigin’s, Schwefel’s, Griewank’s, Rosenbrock’s valley, Styblinski-Tang, Ackley’s Path, Price-Rosenbrock, and Eggholder’s functions. This algorithm is applied 1000 times to each of the 13 test functions, and the results shows that this algorithm always converges to each of the 13 test function’s global minimum.",book:{id:"11555",title:"Ubiquitous and Pervasive Computing - New Trends and Opportunities",coverURL:"https://cdn.intechopen.com/books/images_new/11555.jpg"},signatures:"Peter Stubberud"},{id:"82921",title:"A Survey of Lightweight Image Encryption for IoT",slug:"a-survey-of-lightweight-image-encryption-for-iot",totalDownloads:5,totalDimensionsCites:0,doi:"10.5772/intechopen.104431",abstract:"IoT networks serve as a way for various devices interconnected over the internet to exchange data with each other and with other services. Most smartphones, laptops, and other communication devices are connected to the cloud today, making data accessible to everyone. There are many applications for IoT, from smart IoT applications to industrial products. Encryption is one of the best ways to make IoT networks secure since so much data is being transferred. A lightweight block cipher is one of the most sophisticated means for overcoming the security problems inherent to IoT networks. Because of the limited resources available to nodes, classical cryptography methods are costly and inefficient. In this paper, we have compared the systems, we have found that these modifications were made to the original AES algorithm, while the original algorithm security remains robust, the modified AES algorithm remains lightweight and faster, providing more satisfaction for embedding in IoT devices and sensors that consume little power. Furthermore, this algorithm enhanced the AES-ECC hybrid encryption system, which has good flexibility and versatility, and optimized the design of the ECC function according to the characteristics of wireless sensor networks. Using Salsa20/12 stream cipher, the texture images can be encrypted using bit masking and permutation procedures and as part of a new scheme for encrypting 3D objects, which complements the existing methods for 3D object encryption. With PLIE implemented in Python, the encryption time was approximately 50% faster than that of AES using the throughput increase, faster encryption time, and minimal complexity.",book:{id:"11190",title:"Lightweight Cryptographic Techniques and Cybersecurity Approaches",coverURL:"https://cdn.intechopen.com/books/images_new/11190.jpg"},signatures:"Haneen Dweik and Mohammad Abutaha"},{id:"82098",title:"Perspective chapter: Internet of Things in Healthcare - New Trends, Challenges and Hurdles",slug:"perspective-chapter-internet-of-things-in-healthcare-new-trends-challenges-and-hurdles",totalDownloads:5,totalDimensionsCites:0,doi:"10.5772/intechopen.104946",abstract:"Applied to health field, Internet of Things (IoT) systems provides continuous and ubiquitous monitoring and assistance, allowing the creation of valuable tools for diagnosis, health empowerment, and personalized treatment, among others. Advances in these systems follow different approaches, such as the integration of new protocols and standards, combination with artificial intelligence algorithms, application of big data processing methodologies, among others. These new systems and applications also should face different challenges when applying this kind of technology into health areas, such as the management of personal data sensed, integration with electronic health records, make sensing devices comfortable to wear, and achieve an accurate acquisition of the sensed data. 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He was elected a Yangtze River Scholars Distinguished Professor in 2013, a member of the International Statistical Institute (ISI) in 2016, a member of the board of the International Chinese Statistical Association (ICSA) in 2018, and a fellow of the Institute of Mathematical Statistics (IMS) in 2021. He received the ICSA Outstanding Service Award in 2018 and the National Science Foundation for Distinguished Young Scholars of China in 2012. He serves as a member of the editorial board of Statistics and Its Interface and Journal of Systems Science and Complexity. He is also a field editor for Communications in Mathematics and Statistics. His research interests include biostatistics, empirical likelihood, missing data analysis, variable selection, high-dimensional data analysis, Bayesian statistics, and data science. He has published more than 190 research papers and authored five books.",institutionString:"Yunnan University",institution:{name:"Yunnan University",country:{name:"China"}}},{id:"1177",title:"Prof.",name:"António",middleName:"J. R.",surname:"José Ribeiro Neves",slug:"antonio-jose-ribeiro-neves",fullName:"António José Ribeiro Neves",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1177/images/system/1177.jpg",biography:"Prof. António J. R. Neves received a Ph.D. in Electrical Engineering from the University of Aveiro, Portugal, in 2007. Since 2002, he has been a researcher at the Institute of Electronics and Informatics Engineering of Aveiro. Since 2007, he has been an assistant professor in the Department of Electronics, Telecommunications, and Informatics, University of Aveiro. He is the director of the undergraduate course on Electrical and Computers Engineering and the vice-director of the master’s degree in Electronics and Telecommunications Engineering. He is an IEEE Senior Member and a member of several other research organizations worldwide. His main research interests are computer vision, intelligent systems, robotics, and image and video processing. He has participated in or coordinated several research projects and received more than thirty-five awards. He has 161 publications to his credit, including books, book chapters, journal articles, and conference papers. He has vast experience as a reviewer of several journals and conferences. As a professor, Dr. Neves has supervised several Ph.D. and master’s students and was involved in more than twenty-five different courses.",institutionString:null,institution:{name:"University of Aveiro",country:{name:"Portugal"}}},{id:"11317",title:"Dr.",name:"Francisco",middleName:null,surname:"Javier Gallegos-Funes",slug:"francisco-javier-gallegos-funes",fullName:"Francisco Javier Gallegos-Funes",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/11317/images/system/11317.png",biography:"Francisco J. Gallegos-Funes received his Ph.D. in Communications and Electronics from the Instituto Politécnico Nacional de México (National Polytechnic Institute of Mexico) in 2003. He is currently an associate professor in the Escuela Superior de Ingeniería Mecánica y Eléctrica (Mechanical and Electrical Engineering Higher School) at the same institute. His areas of scientific interest are signal and image processing, filtering, steganography, segmentation, pattern recognition, biomedical signal processing, sensors, and real-time applications.",institutionString:"Instituto Politécnico Nacional",institution:{name:"Instituto Politécnico Nacional",country:{name:"Mexico"}}},{id:"428449",title:"Dr.",name:"Ronaldo",middleName:null,surname:"Ferreira",slug:"ronaldo-ferreira",fullName:"Ronaldo Ferreira",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/428449/images/21449_n.png",biography:null,institutionString:null,institution:{name:"University of Aveiro",country:{name:"Portugal"}}},{id:"165328",title:"Dr.",name:"Vahid",middleName:null,surname:"Asadpour",slug:"vahid-asadpour",fullName:"Vahid Asadpour",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/165328/images/system/165328.jpg",biography:"Vahid Asadpour, MS, Ph.D., is currently with the Department of Research and Evaluation, Kaiser Permanente Southern California. He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:{name:"Association for Computing Machinery",country:{name:"United States of America"}}},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:'"Politechnica" University Timişoara',institution:null},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:null,institution:null},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"417317",title:"Mrs.",name:"Chiedza",middleName:null,surname:"Elvina Mashiri",slug:"chiedza-elvina-mashiri",fullName:"Chiedza Elvina Mashiri",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Midlands State University",country:{name:"Zimbabwe"}}},{id:"352140",title:"Dr.",name:"Edina",middleName:null,surname:"Chandiwana",slug:"edina-chandiwana",fullName:"Edina Chandiwana",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Midlands State University",country:{name:"Zimbabwe"}}},{id:"342259",title:"B.Sc.",name:"Leonard",middleName:null,surname:"Mushunje",slug:"leonard-mushunje",fullName:"Leonard Mushunje",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Midlands State University",country:{name:"Zimbabwe"}}},{id:"347042",title:"Mr.",name:"Maxwell",middleName:null,surname:"Mashasha",slug:"maxwell-mashasha",fullName:"Maxwell Mashasha",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Midlands State University",country:{name:"Zimbabwe"}}},{id:"2941",title:"Dr.",name:"Alberto J.",middleName:"Jorge",surname:"Rosales-Silva",slug:"alberto-j.-rosales-silva",fullName:"Alberto J. 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Novel computational algorithms for image analysis, scene understanding, biometrics, deep learning and their software or hardware implementations for natural and medical images, robotics, VR/AR, applications are some research directions relevant to this topic.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",hasOnlineFirst:!1,hasPublishedBooks:!0,annualVolume:11420,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null,series:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403"},editorialBoard:[{id:"1177",title:"Prof.",name:"António",middleName:"J. 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