Industry 4.0 technologies impact on supply chain sustainability.
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"10975",leadTitle:null,fullTitle:"Sewage - Recent Advances, New Perspectives and Applications",title:"Sewage",subtitle:"Recent Advances, New Perspectives and Applications",reviewType:"peer-reviewed",abstract:"Wastewater treatment is crucial for human development. The current state of development of wastewater, the current state of its impact, and the current state of development of wastewater treatment methods are to be closely followed. This book compiles some of the cutting-edge developments related to wastewater treatment.",isbn:"978-1-83969-825-5",printIsbn:"978-1-83969-824-8",pdfIsbn:"978-1-83969-826-2",doi:"10.5772/intechopen.95668",price:119,priceEur:129,priceUsd:155,slug:"sewage-recent-advances-new-perspectives-and-applications",numberOfPages:142,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"0933f9b6aa7b8c65e710e951e674997d",bookSignature:"Tao Zhang",publishedDate:"March 9th 2022",coverURL:"https://cdn.intechopen.com/books/images_new/10975.jpg",numberOfDownloads:839,numberOfWosCitations:0,numberOfCrossrefCitations:1,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:1,numberOfDimensionsCitationsByBook:0,hasAltmetrics:0,numberOfTotalCitations:2,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 21st 2021",dateEndSecondStepPublish:"May 19th 2021",dateEndThirdStepPublish:"July 18th 2021",dateEndFourthStepPublish:"October 6th 2021",dateEndFifthStepPublish:"December 5th 2021",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"185487",title:"Associate Prof.",name:"Tao",middleName:null,surname:"Zhang",slug:"tao-zhang",fullName:"Tao Zhang",profilePictureURL:"https://mts.intechopen.com/storage/users/185487/images/system/185487.jpg",biography:"Dr. Tao Zhang is an Associate Professor and Ph.D. Supervisor at the College of Resources and Environmental Sciences, China Agricultural University, China. His academic background covers waste management, wastewater treatment, utilization of agricultural waste. He is awarded the Scientific Chinese - Outstanding Young Scientist Award, the Innovation Award for Industry-University-Research Cooperation of China, the Character Award - Invention and Entrepreneurship Award of China Association of Inventions. His H-index is 23 (Scopus) and he has published more than 50 papers in Chemical Engineering Journal, Water Research, Journal of Hazardous Materials, Green Chemistry, Renewable and Sustainable Energy Reviews, and so on. Amongst, 11 ESI Highly Cited Paper and 4 ESI Hot Paper. He has authorized more than 20 Chinese invention patents.",institutionString:"China Agricultural University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"3",totalChapterViews:"0",totalEditedBooks:"3",institution:{name:"China Agricultural University",institutionURL:null,country:{name:"China"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"1354",title:"Wastewater Engineering",slug:"technology-environmental-engineering-wastewater-engineering"}],chapters:[{id:"79618",title:"A Novel Wastewater Treatment Method Using Electrical Pulsed Discharge Plasma over a Water Surface",doi:"10.5772/intechopen.101494",slug:"a-novel-wastewater-treatment-method-using-electrical-pulsed-discharge-plasma-over-a-water-surface",totalDownloads:122,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Electrical pulsed discharge plasma produces various powerful oxidizing agents, such as hydroxyl radicals and ozone, which have high oxidation potential. These species play an important role in the decomposition of persistent organic compounds in wastewater. Because highly concentrated oxidants are directly produced inside the plasma, plasma realizes high-speed wastewater treatment without pretreatment of samples, such as pH adjustment. The pulsed discharge plasma generated over the water surface and inside bubbles is highlighted as a highly efficient method for plasma generation and radical supply into wastewater. In this paper, the physical and chemical properties of the discharge plasma generated over a water surface are described. The decomposition of persistent organic compounds dissolved in wastewater, such as 1,4-dioxane, formic acid, and dichloromethane, by plasma discharge is demonstrated, and their mechanisms are discussed. These persistent compounds, which have strong toxicity and stability, can be efficiently decomposed and removed quickly from solutions by plasma treatment. Furthermore, the treatment of nutrient solutions used in hydroponic systems for plant cultivation is also introduced as a novel application of plasma, and the effects of bacterial inactivation, decomposition of allelochemicals, and improvement in plant growth by plasma are demonstrated.",signatures:"Katsuyuki Takahashi, Koichi Takaki and Naoya Satta",downloadPdfUrl:"/chapter/pdf-download/79618",previewPdfUrl:"/chapter/pdf-preview/79618",authors:[{id:"11890",title:"Prof.",name:"Koichi",surname:"Takaki",slug:"koichi-takaki",fullName:"Koichi Takaki"},{id:"211922",title:"Dr.",name:"Katsuyuki",surname:"Takahashi",slug:"katsuyuki-takahashi",fullName:"Katsuyuki Takahashi"},{id:"444986",title:"Dr.",name:"Naoya",surname:"Satta",slug:"naoya-satta",fullName:"Naoya Satta"}],corrections:null},{id:"79368",title:"Irradiation of Sewage Sludge",doi:"10.5772/intechopen.101119",slug:"irradiation-of-sewage-sludge",totalDownloads:92,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"A review of the current status of sewage sludge decontamination using electron beam irradiation at industrial scale is presented. The chapter includes a historical development of the technology using both gamma and electron beam sources, a description of a facility using an electron accelerator, a discussion of the quality control techniques used to certify that satisfactory decontamination levels for safe use of treated sludge have been achieved, the effect of electron beam irradiation on the bacteria and virus present in a typical sample of municipal sewage sludge, and an analysis of the costs of decontaminating sewage sludge using electron beam irradiation compared to traditional and more routine technologies. Finally, the chapter concludes by emphasizing on the fact that electron accelerators described in this chapter are capable to decontaminate a typical municipal sewage sludge at competitive costs which are shown to be comparable and/or lower than routinely used technologies to achieve class A biosolids by the Environmental Protection Agency standards.",signatures:"Roberto M. Uribe and Jean Engohang-Ndong",downloadPdfUrl:"/chapter/pdf-download/79368",previewPdfUrl:"/chapter/pdf-preview/79368",authors:[{id:"180733",title:"Dr.",name:"Jean",surname:"Engohang-Ndong",slug:"jean-engohang-ndong",fullName:"Jean Engohang-Ndong"},{id:"183556",title:"Dr.",name:"Roberto",surname:"Uribe",slug:"roberto-uribe",fullName:"Roberto Uribe"}],corrections:null},{id:"79658",title:"Progress in Domestic Wastewater Treatment, Resource Recovery and Energy Generation Using Microbial Fuel Cell",doi:"10.5772/intechopen.100826",slug:"progress-in-domestic-wastewater-treatment-resource-recovery-and-energy-generation-using-microbial-fu",totalDownloads:114,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Microbial fuel cells (MFC) are emerging as a versatile eco-friendly bioelectrochemical system (BES) that utilizes microorganisms as biocatalysts to simultaneously convert chemical energy in the chemical bond of organic and inorganic substrates into bioelectricity and treat wastewater. The performance of MFC depends on the electroactive microorganisms, popularly known as exoelectrogens, the loading rate of organic substrate, pH, MFC configurations, hydraulic retention time, and temperature. In most cases, the performance of MFC can be evaluated by measuring chemical oxygen demand (COD) removal efficiency, Coulombic efficiency and MFC power density output. To date, the most common MFC’s reactor designs are single-chamber MFC, double-chambers MFC, and stacked-MFC configurations. Generally, considerable developments in MFC systems for waste treatment, renewable energy generation and resource recovery have been made in the last two decades, despite critical challenges of capital cost investment, and low efficiency for large scale applications are impeding MFC from commercialization. This mini-review chapter provides a comprehensive assessment of principles and configurations of MFC, treatment of domestic wastewater, energy generation, and resource recovery by MFC and challenges of MFC. I believe the information provided in this chapter will enlighten the current and future prospects of versatile applications of MFC during domestic wastewater treatment.",signatures:"Girum Ayalneh Tiruye",downloadPdfUrl:"/chapter/pdf-download/79658",previewPdfUrl:"/chapter/pdf-preview/79658",authors:[{id:"415682",title:"Dr.",name:"Girum Ayalneh",surname:"Tiruye",slug:"girum-ayalneh-tiruye",fullName:"Girum Ayalneh Tiruye"}],corrections:null},{id:"78688",title:"Secondary Sludge Biodegradation and Electricity Generation in Biocathode Microbial Fuel Cells",doi:"10.5772/intechopen.100305",slug:"secondary-sludge-biodegradation-and-electricity-generation-in-biocathode-microbial-fuel-cells",totalDownloads:103,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The looking for sustainable sewage sludge management technology in the wastewater treatment plants, has brought to light the biocathode microbial fuel cells (bMFCs) which allow simultaneous biological stabilization and direct energy generation, avoiding the production of biogas. In the present study, the performance of bMFCs for the treatment of secondary sludge as anodic substrate was evaluated by analyzing the removal of organic matter, destruction of volatile solids and the generation of electrical energy under different operating conditions and applying two types of cathode chambers. The results indicated that VSS and tCOD removals up to 92% and 87% respectively can be achieved in the anodic chamber generating simultaneously energy. Current and power densities of 1.80 ± 0.09 A∙m−3 and 0.43 ± 0.02 W∙m−3 respectively were reached, showing that bMFCs are a reliable alternative to generate electricity during the sewage sludge stabilization process. It was revealed that the pH value and the type of cathodic zone are statistically significant factors that influenced the performance of the bMFCs. The obtained results demonstrated that the electrochemical performance of the bMFCs was better at pH value of 6 in the anodic chamber and when aerobic cathode zone was used.",signatures:"Petia Mijaylova Nacheva, Danilo Gamboa-Santana and Edson B. Estrada-Arriaga",downloadPdfUrl:"/chapter/pdf-download/78688",previewPdfUrl:"/chapter/pdf-preview/78688",authors:[{id:"85236",title:"Dr.",name:"Petia",surname:"Mijaylova Nacheva",slug:"petia-mijaylova-nacheva",fullName:"Petia Mijaylova Nacheva"},{id:"419846",title:"MSc.",name:"Danilo",surname:"Gamboa-Santana",slug:"danilo-gamboa-santana",fullName:"Danilo Gamboa-Santana"},{id:"419847",title:"Dr.",name:"Edson B.",surname:"Estrada-Arriaga",slug:"edson-b.-estrada-arriaga",fullName:"Edson B. Estrada-Arriaga"}],corrections:null},{id:"79391",title:"An Overview of Occurrence and Removal of Pharmaceuticals from Sewage/Wastewater",doi:"10.5772/intechopen.100352",slug:"an-overview-of-occurrence-and-removal-of-pharmaceuticals-from-sewage-wastewater",totalDownloads:116,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Nowadays, the occurrence of pharmaceuticals in sewage/wastewater is a major environmental concern. Their precise characterization and suitable treatment/disposal is a must else it pollutes the surface water bodies and causes major distress on aquatic lives and human health. Also, the up-gradation of the sewage/wastewater treatment plant (WWTP) is a must to consider the removal of these pollutants and to provide the best quality effluent for various reuse purposes. Mostly, the conventional treatment methods are inefficient for their removal, and hence, the most advanced and refined treatment options are needed for their effective treatment. In this chapter, we have highlighted the occurrence of pharmaceuticals in various water samples and their treatment options are reviewed. It was recommended that integrated treatment systems are more efficient, economical, and environmental friendly than single stand-alone treatment. Further advancement and modifications in the treatment options are required to overcome the shortcomings regarding pharmaceutical removal to achieve the legal standard discharge limit.",signatures:"Mohd Salim Mahtab and Izharul Haq Farooqi",downloadPdfUrl:"/chapter/pdf-download/79391",previewPdfUrl:"/chapter/pdf-preview/79391",authors:[{id:"33353",title:"Dr.",name:"Izharul Haq",surname:"Farooqi",slug:"izharul-haq-farooqi",fullName:"Izharul Haq Farooqi"},{id:"417105",title:"Ph.D. Student",name:"Mohd Salim",surname:"Mahtab",slug:"mohd-salim-mahtab",fullName:"Mohd Salim Mahtab"}],corrections:null},{id:"79111",title:"Implications of Sewage Discharge on Freshwater Ecosystems",doi:"10.5772/intechopen.100770",slug:"implications-of-sewage-discharge-on-freshwater-ecosystems",totalDownloads:166,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Freshwater ecosystems such as lakes and rivers are among the sensitive ecosystems, which host rich biodiversity. Being major freshwater resources, they provide a wide range of ecosystem services, making their existence essential for the well-being of human societies. However, in the past few decades, there have been adverse impacts on the health of these ecosystems due to uncontrolled sewage disposal throughout the world. This is increasingly becoming a tough challenge to protect the freshwater ecosystems from the ramifications of the entry of untreated sewage. Loss of biodiversity, physiological and behavioral changes in species, community shifts, and fish mortality have been witnessed in aquatic ecosystems, which are the recipients of untreated or partially treated sewage. Nutrients such as nitrogen and phosphorus are abundant in sewage and are one of the leading causes of eutrophication of water bodies. Several freshwater ecosystems around the world have become a victim of eutrophication due to untreated sewage disposal, leading to a change in trophic status.",signatures:"Sami Ullah Bhat and Umara Qayoom",downloadPdfUrl:"/chapter/pdf-download/79111",previewPdfUrl:"/chapter/pdf-preview/79111",authors:[{id:"417038",title:"Dr.",name:"umara",surname:"Qayoom",slug:"umara-qayoom",fullName:"umara Qayoom"},{id:"417574",title:"Dr.",name:"Sami Ullah",surname:"Bhat",slug:"sami-ullah-bhat",fullName:"Sami Ullah Bhat"}],corrections:null},{id:"78904",title:"Biological versus Physicochemical Technologies for Industrial Sewage Treatment: Which Is the Most Efficient and Inexpensive?",doi:"10.5772/intechopen.100325",slug:"biological-versus-physicochemical-technologies-for-industrial-sewage-treatment-which-is-the-most-eff",totalDownloads:128,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Industries play a major role in the development of countries′ economy. However, they are known as the biggest source of water pollution in the whole world. In fact, several industries use a huge amount of water in their manufacturing operations, and then, they reject a large volume of wastewaters such as tanneries, brassware, olive mills … etc. The sewage of these industries may contain organic/inorganic matters or toxic components that harm human health and the environment. Therefore, the treatment of these effluents is necessary. For that, there are many treatment processes, including biological and physicochemical processes or both. The choice of adequate process is depending on many reasons, especially on the biodegradability degree of each effluent, as well as the presence of recalcitrant pollutants. Nevertheless, biological technologies, particularly bioremediation, are recently an emerging technology for the elimination of recalcitrant pollutants like heavy metals. Furthermore, these biotechnologies are simple, efficient, eco-friendly and inexpensive. Therefore, this environmental biotechnology may be a new approach for the treatment of industrial sewage, so, it can successfully replace physicochemical technologies that are very expensive.",signatures:"Karima Elkarrach, Fatima Atia, Anass Omor, Omar Laidi, Saloua Biyada, Mohamed Benlmelih and Mohammed Merzouki",downloadPdfUrl:"/chapter/pdf-download/78904",previewPdfUrl:"/chapter/pdf-preview/78904",authors:[{id:"324231",title:"Dr.",name:"Anass",surname:"Omor",slug:"anass-omor",fullName:"Anass Omor"},{id:"324620",title:"Dr.",name:"Karima",surname:"Elkarrach",slug:"karima-elkarrach",fullName:"Karima Elkarrach"},{id:"421264",title:"Dr.",name:"Saloua",surname:"Biyada",slug:"saloua-biyada",fullName:"Saloua Biyada"},{id:"425232",title:"Prof.",name:"Fatima",surname:"Atia",slug:"fatima-atia",fullName:"Fatima Atia"},{id:"425234",title:"Dr.",name:"Omar",surname:"Laidi",slug:"omar-laidi",fullName:"Omar 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Munoz-Luna, A. Jurado-Navas and L. Taillefer de Haya",authors:[{id:"55578",title:"Dr.",name:"Antonio",middleName:null,surname:"Jurado-Navas",fullName:"Antonio Jurado-Navas",slug:"antonio-jurado-navas"},{id:"169417",title:"Dr.",name:"Rosa",middleName:null,surname:"Munoz-Luna",fullName:"Rosa Munoz-Luna",slug:"rosa-munoz-luna"},{id:"169418",title:"Dr.",name:"Lidia",middleName:null,surname:"Taillefer de Haya",fullName:"Lidia Taillefer de Haya",slug:"lidia-taillefer-de-haya"}]},{id:"45816",title:"Experimental Determinations and Numerical Simulations of the Effects of Electromagnetic Interferences into the Overhead Power Lines with Double Circuit, Operating with a Disconnected Circuit",slug:"experimental-determinations-and-numerical-simulations-of-the-effects-of-electromagnetic-interference",signatures:"Flavius Dan Surianu",authors:[{id:"51585",title:"PhD.",name:"Flavius",middleName:"Dan",surname:"Surianu",fullName:"Flavius Surianu",slug:"flavius-surianu"}]},{id:"45971",title:"Computational Modeling and Monte Carlo Simulation of Soft Errors in Flash Memories",slug:"computational-modeling-and-monte-carlo-simulation-of-soft-errors-in-flash-memories",signatures:"Jean-Luc Autran, Daniela Munteanu, Gilles Gasiot and Philippe\nRoche",authors:[{id:"14152",title:"Prof.",name:"Jean-Luc",middleName:null,surname:"Autran",fullName:"Jean-Luc Autran",slug:"jean-luc-autran"},{id:"14602",title:"Dr.",name:"Daniela",middleName:null,surname:"Munteanu",fullName:"Daniela Munteanu",slug:"daniela-munteanu"},{id:"156365",title:"Dr.",name:"Philippe",middleName:null,surname:"Roche",fullName:"Philippe Roche",slug:"philippe-roche"},{id:"156366",title:"Dr.",name:"Gilles",middleName:null,surname:"Gasiot",fullName:"Gilles Gasiot",slug:"gilles-gasiot"}]},{id:"46069",title:"Numerical Calculation for Lightning Response to Grounding Systems Buried in Horizontal Multilayered Earth Model Based on Quasi-Static Complex Image Method",slug:"numerical-calculation-for-lightning-response-to-grounding-systems-buried-in-horizontal-multilayered-",signatures:"Zhong-Xin Li, Ke-Li Gao, Yu Yin, Cui-Xia Zhang and Dong Ge",authors:[{id:"55508",title:"Dr.",name:"Zhong-Xin",middleName:null,surname:"Li",fullName:"Zhong-Xin Li",slug:"zhong-xin-li"},{id:"169404",title:"Dr.",name:"Ke-Li",middleName:null,surname:"Gao",fullName:"Ke-Li Gao",slug:"ke-li-gao"},{id:"169405",title:"Dr.",name:"Yu",middleName:null,surname:"Yin",fullName:"Yu Yin",slug:"yu-yin"},{id:"169406",title:"Dr.",name:"Dong",middleName:null,surname:"Ge",fullName:"Dong Ge",slug:"dong-ge"},{id:"169852",title:"Prof.",name:"Cui-Xia",middleName:null,surname:"Zhang",fullName:"Cui-Xia Zhang",slug:"cui-xia-zhang"}]},{id:"45812",title:"Development of Sand Spits and Cuspate Forelands with Rhythmic Shapes and Their Deformation by Effects of Construction of Coastal Structures",slug:"development-of-sand-spits-and-cuspate-forelands-with-rhythmic-shapes-and-their-deformation-by-effect",signatures:"Takaaki Uda, Masumi Serizawa and Shiho Miyahara",authors:[{id:"13491",title:"Dr.",name:"Takaaki",middleName:null,surname:"Uda",fullName:"Takaaki Uda",slug:"takaaki-uda"}]},{id:"45959",title:"Nonparametric Model for Business Performance Evaluation in Forestry",slug:"nonparametric-model-for-business-performance-evaluation-in-forestry",signatures:"Mario Šporčić and Matija Landekić",authors:[{id:"53096",title:"Dr.",name:"Mario",middleName:null,surname:"Sporcic",fullName:"Mario Sporcic",slug:"mario-sporcic"},{id:"170035",title:"MSc.",name:"Matija",middleName:null,surname:"Landekic",fullName:"Matija Landekic",slug:"matija-landekic"}]}]}],publishedBooks:[{type:"book",id:"1989",title:"Fluid Dynamics, Computational Modeling and Applications",subtitle:null,isOpenForSubmission:!1,hash:"e7f43d55285a6a3447c62c066f072e8b",slug:"fluid-dynamics-computational-modeling-and-applications",bookSignature:"L. 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It combines smart factories and products with the Internet of Things [2, 3], with the goal of providing real-time information on production, machines, and component flow, and integrating this data to assist managers in making decisions, monitoring performance, and tracking parts and products.
Big data analytics (BDA) is the collecting of real-time data, the use of analytical tools, and the use of computer algorithms to derive relevant insights and patterns for better decision-making using data, text, audio, video [4]. Big Data 6Vs framework describe Volume, a very large amount of data; Velocity, the data are generated very quickly and must be processed in a very short time; Variety, a large number of structured and unstructured data types are processed; Value, the goal is to generate significant value for the organisation; Veracity, reliability of the processed data; and Variability, flexibility to adapt to new data formats by collecting, storing, and processing them. BDA aids in the achievement of long-term corporate success and competitive advantage [5].
Internet of Things (IoT) allows devices to communicate with one another without the need for human involvement [6]. The Internet of Things is based on a network of devices, each of which has its own unique identity to the computer system to which it is attached. IoT-controlled industrial systems are intelligent because they can accurately and efficiently operate all linked equipment from afar [7]. For example, big data has been utilised to enhance product development [8], SC demand forecasts [9], and green production strategies [8, 10].
Blockchain is a distributed data structure—a distributed ledger—in which the data is shared on a peer-to-peer network. The network members and nodes communicate and validate the data following a predefined protocol without a central authority. Distributed ledgers can be either decentralised, giving equal rights to all users or centralised, providing specific users with special rights.
Artificial intelligence (AI) is a field in computer science encompassing the development of systems capable of performing tasks that normally necessitate human intelligence. The science of making machines do things that would require intelligence if done by men. Three main functions are sensing and interacting, learning from the data and decision making.
Autonomous vehicles as more environmentally friendly automobiles are capable of sensing its navigation without human input, thus the costs, emission level and working time can be reduced dramatically. They can be used not only for long distances, but also for operational level of the supply chain.
Additive manufacturing (AM) begins with the creation of a three-dimensional digital model using computer-aided design software, followed by the formation of the finished object using a 3D printer [11]. AM helps to Industry 4.0 goals by generating personalised items in small batches and producing complex and lightweight designs with great precision [3].
Cloud manufacturing is a method of providing a shared network of manufacturing resources and capabilities through the internet by establishing a virtual and global environment. The logic of cloud manufacturing is service-based, which means providers and consumers interact to sell and acquire services such as product design, simulation, production, and assembly [12].
The Cloud computing (CC) is an Internet-based third-party service provider for data or database storage. The cloud is housed at a faraway location, not at the area where production takes place [12]. The CC has the advantages of lower operating costs, faster service, and simple accessibility [13].
Sustainability is a multi-dimensional concept incorporating economic, environmental, and social dimensions of business. Primary goal of any commercial enterprise is to make profit for long tern economic sustainability by balancing costs and revenues in sourcing, production and distribution of goods and services. Due to global pressure, climate change and pollution, environmental sustainability has taken centre stage in today’s business [14]. The focus is to minimise natural resources use, waste and pollution (air, water, land), and increased renewable energy use in production and distribution. Social sustainability includes working environment, employee morale and satisfaction, equity and social integration of communities. Industry 4.0 technologies (I4T) help manufacturing companies achieve long-term goals by reducing lead times, providing customised goods, improving product quality, improving the working environment, and employee morale [15]. Organisations have been compelled to adapt smart production systems which are more adaptable, intelligent, and agile, and allows to address the demands of a dynamic and global market [16].
Sustainable development is crucial necessity for the survival of humankind, which should integrate sustainable production and consumption [17]. Sustainability is three-dimensional concept encompassing economic, environmental and social (triple bottom line). Sustainable supply chain enables the management of material, information and capital flows as well as the cooperation among companies along the supply chain while taking goals from all three dimensions of sustainable development (economic, environmental and social) into account which are derived from customer and stakeholder requirements [18]. One of the key features of Industry 4.0 enabled by CPS, IoT, and big data analytics, is data accessibility and real-time information, which may help companies achieve low cost, high quality, low risk sharing, more flexible SC planning and effective decision making. Industry 4.0 allows for long-term purchase of more personalised items [19]. I40 opens up new and long-term commercial prospects by maximising resource efficiency, enhancing manufacturing flexibility, and reducing time to market [20]. IoT controlled industrial systems are clever as they can accurately and efficiently operate all linked equipment from afar [7]. Various I4T is shown to have a good influence on the organisations’ long-term success. However, there is a dearth of empirical evidence in the literature to substantiate the influence of I4T on sustainable operating practices in various industries [15]. I4T contribute to long-term operations management choices and new business models by connecting value chains through data collection and exchange [3, 21]. As a result, long-term operations management decisions help to establish a link between circular economy (CE) principles and Industry 4.0 concepts.
The search for a more sustainable production and consumption system is so important now that the United Nations Organisation (UNO) has made it one of their most important social goals for long-term development [22]. The ultimate goal of implementing sustainability into production is to take the industry to a world-class level of sustainable manufacturing [23]. Moghaddam et al. [24] developed several reference designs for sustainable smart I40 factories to dealt with the production of environmentally friendly products. Nascimento et al. [25] proposed a circular economy (CE) business model using I4T for recycling garbage. Kiel et al. [26] classified Internet of Things (IoT) issues and benefits that centred on the long-term value creation. Waibel et al. [20] investigated the effects of smart production systems in terms of resource efficiency and sustainability. Zambon et al. [27] proposed an Agriculture 4.0 through the virtualization of the Agro-food chain. Ding [28] conducted a literature review to identify the barriers of incorporating sustainability into the pharmaceutical SC and proposed I40 application in SC known as Pharma 4.0. Bag et al. [29] developed a framework incorporating thirteen enablers I40 affecting SC sustainability. Tsai and Lu [30] developed a I40 based production planning and control framework using a carbon price. Ghadimi et al. [31] suggested a multiagent system to automatically analyse and choose suppliers that contribute to sustainable SC. Belaud et al. [32] developed agriculture 4.0 by integrating I40 into a SC and waste valorization using big data to improve sustainability management. Sensing, smart, and sustainable technologies were identified as crucial aspects of future sustainable goods [33]. Bibaud-Alves et al. [34] used I4T to establish a relationship between the development process of new goods, digital transformation, and sustainable development. Paravizo et al. [35] offered a conceptual framework using I40 for developing gamified apps that focus on sustainable manufacturing. Kamble et al. [15] reviewed 85 articles on I40 and established a sustainable industry 4.0 framework. Stock et al. [36] carried out qualitative assessment of I40 that enables ecological and social sustainable development. Hidayatno et al. [37] proposed a conceptual model to assess the effect I40 technology on sustainable energy in Indonesian industries. Bonilla et al. [38] used multiple development scenarios to assess the impact and challenges of I40 implementation on long-term sustainable development. Man and Strandhagen [21] presented I40 and sustainability adoption into various business operations. Luthra and Mangla [39] conducted a literature analysis and categorised eighteen I40 implementation challenges of sustainable SC into four categories: organisational, strategical, legal, and ethical. Ardanza et al. [40] demonstrated a human–machine interface using I40 that enable operators to be more productive and safer. Meng et al. [41] carried out literature review on sustainability and energy efficiency in smart factories, their interaction, benefits and issues. Chaim et al. [42] examined the feasibility of using key performance indicators (KPIs) to assess sustainability in I40 virtual learning environment. Kamble et al. [43] analysed the barriers of I40 adoption in manufacturing industry.
Manavalan and Jayakrishna [44] examined the IoT application for a sustainable SC and suggested software to organise material resources in businesses. Birkel et al. [45] proposed a risk framework using I40 for sustainable manufacturing in SMEs using a long-term strategy. Jabbour et al. [46] identified eleven critical success factors for implementing I40 and environmentally sustainable manufacturing and proposed an integrated framework for future research. Kamble et al. [15] investigated the barriers to I40 adoption in Indian manufacturing and analysed their driving and dependence relationship. Monteleone et al. [47] suggested a water management conceptual model in agricultural 4.0. [48, 49] carried out empirical study of 234 manufacturing firms in Pakistan to investigate the effect of I40 on green practices in manufacturing and logistics, which have substantial effect on sustainability of the firms.
Chalmeta and Santos-deLeón [50] carried out literature review on I40, big data and sustainable SC. Mastos et al. [51] provided IoT application for scrap metal waste management. Strandhagen et al. [52] proposed I40 solutions to shipbuilding supply chains sustainability challenges in a case company. Yadav et al. [53] identified 22 I40 and CE based solutions measures to overcome 28 sustainable SC challenges in an automotive industry using BWM-ELECTRE.
Belhadi et al. [54] carried out empirical study by collecting data from 306 organisations in Europe, Asia and Africa to explore the role of digital business transformation, organisational ambidexterity and circular business models on the relationship between I40 capabilities and sustainable performance. Fatorachian and Kazemi [55] conducted exploratory research based on inductive reasoning and systems theory to explore the impact of I4T on SC performance in terms of integration, information sharing and transparency, processes improvement in procurement, production, inventory management and retailing through digitisation, automation, and analytical capabilities. Kumar et al. [56] analysed critical success factors for I40 implementation in circular SC. Kumar et al. [57] studied the barriers of integrating I40 and CE in the agriculture SC using ISM-ANP and concluded that government policies, support and incentives is major barrier. Kusi-Sarpong et al. [58] adopted I40 initiatives for sustainable supplier selection in circular SC. Mastos et al. [59] used I40 technologies to redesign SC for circular economy with key identified benefits of improved availability of personnel and fleet resources, and SC traceability through the full visibility and automation. Mubarik et al. [60] collected data from 154 electrical and electronics Malaysian firms and found that I40 application impact SC mapping and visibility. Sharma et al. [61] found in the study that the environmental and social factors were the highest-ranked drivers while organisational and environmental dimensions as the highly ranked barriers of I40 adoption with the sustainability context in multi-tier manufacturing SC. Umar et al. [48, 49] studied the effect of I40 on sustainable operations and green SC practices.
Industry 4.0 technologies are intended to play a key role in guiding industrial and social organisations toward long-term sustainability [46]. I4T makes it easier to achieve a high level of process integration, which improves organisational performance across three aspects of sustainability [15]. Braccini and Margherita [62] explored the impact of I40 adoption in a case study of a ceramics manufacturing firm and found that product quality and productivity improvement, energy monitoring and consumption reduction, safe work environment and job satisfaction for workers. Birkel and Muller [63] provided a literature review on potential of I40 on SC triple bottom line of sustainability in planning, sourcing, logistics and recycling logistics. Digital and smart manufacturing processes, machines and devices are likely to offer advantages of manufacturing productivity, resource efficiency, and waste reduction [64].
On the economic front, I4T makes a significant contribution to value creation, production flexibility, and product customization, which lead to higher consumer satisfaction [3]. Automation and digitisation capabilities of I40 help manufacturers achieve shorter lead times, cheaper manufacturing costs, and higher quality [11, 65]. I4T helps in raw material inventory reduction and efficient capacity utilisation [66]. The data offered by cloud manufacturing and IoT may be used to alter the design, production, and logistics choices of sustainable operations management [46]. IoT applications enable the reuse of resources in a remanufacturing process. The data generated by IoT sensors is evaluated using a mathematical model in order to lower expenses and dynamically manage limited resources [67]. Blockchain capabilities can support sustainable supply chains, which can help reduce the product recall and rework, and trace actual footprint of products; and reduce fraud [68]. Dev et al. [69] adopted agent-based modelling and decision trees to facilitate inventory and supply chain reconfiguration issues of a mobile phone supply chain. The information gathered by I40 may be used to improve product life cycle and industry’s economic performance. Using Additive manufacturing (AM) and IoT together can help create a more sustainable manufacturing process by increasing resource efficiency and reducing recovery procedures [70]. Big data technology can influence the SC methods in terms of eco-efficiency and long-term performance. Esmaeilian et al. [71] reviewed capabilities of Blockchain as enabler for the successful implementation of sustainability and circular economy concepts under four main categories of (i) promoting green behaviour through designing specialised tokens, (ii) enhancing the visibility of product lifecycle, (iii) increasing systems efficiency and decreasing development and operational costs, and (iv) enhancing corporate performance reporting and sustainability monitoring capabilities. Digital supply chain may offer benefits of higher operational efficiency, ad-hoc dynamic planning, collaborative planning, collaborative product design, marketing effectiveness, financial flow, and deeper customer integration [72]. CPS, IoT, and big data analytics, enable a flexible supply chain planning and effective decision making, which may help to achieve high quality with low cost and risk in sustainable purchasing [19].
In terms of the environment, real-time data acquired from various value chain partners assists organisations in effectively allocating industrial resources such as materials, energy, water, and products [3, 46]. I4T also support reduced greenhouse gas emissions [73], energy consumption [74], reduced fuel consumption as a result of improved transportation and logistics planning; and the use of advanced tracking and monitoring systems [75]. The Big data offers predictive analytics that improve environmental and social sustainability [76, 77]. The inclusion of sensors in goods enables performance monitoring such as tracking maintenance requirements-allowing businesses to deliver high-quality service to clients on a proactive basis. Further, organisations may invest in extending product life spans by using the 3Rs (reduce, re-use, and recycle) and monitoring items throughout customer usage. Cloud manufacturing and IoT can gather data from processes and things, such as machinery, allowing for the faults detection that might result in waste. Managers may also monitor and regulate the performance of operations based on production and resource consumption criteria, such as energy usage; the use of sensors would allow them to intervene in processes, even during component/product manufacturing. Machine efficiency might also be monitored in real time in order to schedule maintenance and avoid wasting resources [46]. Blockchain offers visibility, transparency, relationship management, and smart contracting which in turn offers environmental as well as economic benefits and plays a positive role in circular economy [78]. Abdella et al. [79] proposed machine learning using a set of environmental, social and governance criteria to predict sustainability performance across the supply chain. The revolution of autonomous vehicles can provide several benefits particularly in transportation part of the supply chain to reduce the damaged products. Automated guided vehicles (AGV) help in efficient materials handling operations improving the environmental and social sustainability. Krueger et al., [80] analysed possibilities of shared autonomous vehicles implementation implemented in a logistic cluster in public transport industry to improve utilisation of assets and reduce environment effect. Additive manufacturing result in less material being used and requires recycling of tiny amounts of trash due to mobility of 3D printers [70]. The usage of AM also helps to improve the sustainability of a manufacturing process by lowering the materials use and energy consumption. I40 help in energy monitoring that will result into increased energy efficiency and lower CO2 emissions [81]. AM and IoT can aid in improving reverse logistics operations, such as tracking and tracing end of use and end of life items and monitoring recycling activities to pave the way for a long-term route toward circular manufacturing [82]. Cloud technology allows for the capture, exchange, and sharing of dynamic life-cycle data, as well as SC partnerships for environmental footprint assessment [83]. Cloud-based service platform can help in improved decision-making and thereby minimise greenhouse gas emissions in the transportation and logistics industries [84]. Big data analytics in process control, for example, might help in pollution control and natural resource management [85]. Cyber-physical systems aid in production without generating waste or consuming unnecessary resources; the IoT enables mass customization and production that meets demand without producing excess inventory; cloud manufacturing enables controlled resource consumption (e.g., raw materials, energy, water); and additive manufacturing proactively maintains products, saves energy, and reduces waste from defective products [2, 20, 86]. By designing goods based on precise consumption data, cyber-physical systems improve customer satisfaction. As a result, using the 5Rs technique (reduce, repair, re-use, recycle, and remanufacture) [86, 87], it is feasible to develop goods with longer life spans. CPS and IoT aid in the planning of energy and carbon-efficient logistics routes, as well as assisting suppliers in managing their own performance in terms of production planning, delivery quality and reliability, and environmental compliance via remote monitoring [88]. In smart factory, communication efficiency, transparency, surveillance, and control will minimise downtime, waste, defect, and risk across production processes [89].
On the social front, I4T provides a plethora of options for employees to learn new technology, boosting morale and motivation [73, 74]. I4T provides employees with a better and safe working environment [15]. AI and data analytics can help in personalised career development programs based on the behaviour, experience, skills, personality, and learning patterns of each employee [90]. I4T will create new jobs in area of informatics, mechatronics, process engineering, and system integration [91]. Industry 4.0 technologies impact on supply chain sustainability is summarised in Table 1. Industry 4.0 sustainability benefits are shown in Table 2.
Industry 4.0 Technology Features | ||
---|---|---|
Automation | Integration | Modularity |
Real-time capability | Flexibility | Interoperability |
Virtualisation | Decentralisation | Data quality and availability |
Servitisation | Product and service customisation | Transparency |
⇩ | ||
Process and Production efficiency | Material and Resource use reduction | Worker’s productivity improvement |
Cost effectiveness | Energy Consumption reduction | Working condition improvement |
Quality improvement | Water Consumption reduction | Worker’s Health and safety improvement |
Scalability | Waste reduction | Equity |
Profit Margin improvement | Air pollution and GHG emission reduction | |
Reverse logistics reduction |
Industry 4.0 technologies impact on supply chain sustainability.
Sustainability Benefits | Herrmann et al. [74] | Peng et al. [84] | Despeisse et al. [70] | Hofmann and Rüsch [88] | Waibel et al. [20] | Zhao et al. [85] | Keil et al. [26] | Fatorachian and Kazemi [92] | Ghobakhloo [93] | Jabbour et al. [46] | Kamble et al. [15] | Luthra & Mangla [39] | Muller et al. [94] | Stock et al. [36] | Stone et al. [90] | Tortorella and Fettermann [64] | Ghobakhloo & Fathi [91] | Braccini & Margherita [62] | Saberi et al. [68] | Dev et al. [82] | Garcia-Muina et al. [95] | Khan et al. [78] | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Lead time reduction | x | ||||||||||||||||||||||
Customer specific planning | x | x | |||||||||||||||||||||
Autonomous supplier selection and procurement | x | x | |||||||||||||||||||||
Improved supply chain resilience | x | ||||||||||||||||||||||
Downtime prediction | x | x | |||||||||||||||||||||
Aligned production and logistics | c | x | x | x | |||||||||||||||||||
Logistics process efficiency | x | x | x | ||||||||||||||||||||
Faster delivery | x | x | x | ||||||||||||||||||||
Order accuracy | x | ||||||||||||||||||||||
Recycling cost reduction | x | x | |||||||||||||||||||||
Repair and maintenance efficiency | x | x | |||||||||||||||||||||
Resource consumption reduction | x | x | x | ||||||||||||||||||||
Energy consumption reduction | x | x | x | ||||||||||||||||||||
Sustainable Process optimisation | x | ||||||||||||||||||||||
Environmental monitoring easier | x | ||||||||||||||||||||||
Physical prototyping reduction | x | ||||||||||||||||||||||
Scrap reduction | x | x | |||||||||||||||||||||
Transport optimisation | x | ||||||||||||||||||||||
Transparency | x | ||||||||||||||||||||||
Tracking and tracing of recycling | x | x | x | x | x | x | |||||||||||||||||
GHG emission reduction | x | x | |||||||||||||||||||||
Safe working environment | x | x | x | ||||||||||||||||||||
Reduction of hazardous tasks and stress | x | x | x | ||||||||||||||||||||
Learning and training improved | x | x | |||||||||||||||||||||
Hazardous recycling process reduction | x | x |
Industry 4.0 sustainability benefits.
Industry 4.0 technologies such as AI, ML, IoT, Big data, Block chain technology, VR, AR, CPS, Industrial Autonomous Robotics, Cloud computing etc. are being adopted in manufacturing and supply chain throughout the world but slowly. Researchers and professional managers believe that I40 offers integration, interoperability, real-time capability, quality data, modularity, decentralisation, product customisation, servitisation, collaboration, transparency and virtualisation, which may positively impact sustainability. On economic dimension, I4T adoption in supply chain will improve supply chain efficiency, quality, resilience, customer specific planning, production and logistics alignment, on-time delivery, order accuracy, downtime prediction, and repair and maintenance, supplier selection and procurement, and reduce lead time. Economic sustainability will reduce cost and improve profitability. I40 acts environment friendly as its adoption will lead to reduction of raw materials and resources, energy consumption, GHG emission, scrap and waste, physical prototyping, transparency, tracking and traceability. It will enhance sustainability processes and transportation and environmental monitoring. Regarding social sustainability dimension, I4T can offer safe working environment and flexibility, reduce stress and hazardous tasks, and improve learning and development. It is not free from challenges. Human activities such as inventory tracking, quality control, and even product distribution may be performed by Industrial robots, automated vehicles, and intelligent machines and there would be loss of jobs [96]. At the same time, it will provide opportunity for new jobs in I4T. Most of the studies are theoretical. Hence, it needs to be supported by qualitative and case studies.
Data collection and monitoring, information sharing, tracking, decision-making, and coordination between organisational areas and SC partners are technical and organisational factors that could influence the integration of Industry 4.0 and environmentally sustainable SC decision-making. This paper argues for an integrated approach to the issues that Industry 4.0 technologies may unleash the full potential of ecologically sustainable SC. The impact of Industry 4.0 technologies in economic dimension of triple bottom line is efficiency, flexibility, productivity and quality, which will enhance economic performance. On the environmental dimension, better resources utilisation, more quantity production, reduction of waste and energy will result into environmental performance. Finally on societal dimension, better labour utilisation and safe working conditions due to digitalisation and automation. The goal of this paper is to highlight the convergence of two important subjects; Industry 4.0 and sustainable SC with triple bottom line considerations. These two aspects have mostly been investigated separately. Industry 4.0 has the potential to increase ecologically sustainable production, distribution and consumption by allowing for the creation of green products, green manufacturing processes, and green SCM in ways that have never been possible before. On the other hand, the synergy between Industry 4.0 and ecologically sustainable production and distribution is contingent on a number of important success factors. Industry 4.0 adoption is faces few challenges. I4T need to be connected continuously and massive data centres will increase energy consumption. Therefore, it is necessary to balance energy savings and additional energy requirement in I40 adoption. I40 device replacement may also create additional waste. In recycling, sharing information about product by manufacturer, product use and transparency is also a matter of concern that needs to be addressed. Initial high investment and return also need to be studied. Major limitation of the study is the theoretical aspect. It is suggested that these theoretical research propositions be further explored, either through qualitative research or further investigated using quantitative methodology.
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Integrity - We are consistent and dependable, always striving for precision and accuracy in the true spirit of science.
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\n\nDisruptiveness - We are eager for discovery, for new ideas and for progression. We approach our work with creativity and determination, with a clear vision that drives us forward. We look beyond today and strive for a better tomorrow.
\n\nIntechOpen is a dynamic, vibrant company, where exceptional people are achieving great things. We offer a creative, dedicated, committed, and passionate environment but never lose sight of the fact that science and discovery is exciting and rewarding. We constantly strive to ensure that members of our community can work, travel, meet world-renowned researchers and grow their own career and develop their own experiences.
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Thermoplastic starch (TPS), by itself, exhibits poor mechanical properties such as low tensile strength and severe deformations, which limits its application in packaging or films. In addition, TPS presents high hygroscopicity. The use of reinforcing agents in the starch matrix is an effective means to overcome these drawbacks and several types of biodegradable reinforcements, such as cellulosic fibers, whiskers, and nanofibers, have been utilized to develop new and inexpensive starch biocomposites. 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In this regard, optimum conditions of air temperature and humidity are explored and compared on psychrometric charts. Thermodynamic limitations of existing AC systems are discussed from the subject point of view. Consequently, four kinds of low-cost energy-efficient AC systems, namely: (i) direct evaporative cooling (DEC), (ii) indirect evaporative cooling (IEC), (iii) Maisotsenko cycle (M-Cycle) evaporative cooling (MEC), and (iv) desiccant AC (DAC), are investigated for climatic conditions of two cities, that is, Multan (Pakistan) and Fukuoka (Japan). In addition, systems’ fundamentals and principles are explained by means of schematic diagrams and basic heat/mass transfer relationships. According to the results, performance of all systems is influenced by ambient air conditions; therefore, a particular AC system cannot provide optimum AC for all nonhuman applications. However, one or other AC system can successfully provide desired conditions of temperature and relative humidity. It has been concluded that evaporative cooling systems provide low-cost AC for dry climates, whereas DAC system is found energy efficient and viable for humid climates.",book:{id:"5909",slug:"refrigeration",title:"Refrigeration",fullTitle:"Refrigeration"},signatures:"Muhammad Sultan and Takahiko Miyazaki",authors:[{id:"199381",title:"Prof.",name:"Muhammad",middleName:null,surname:"Sultan",slug:"muhammad-sultan",fullName:"Muhammad Sultan"},{id:"199802",title:"Prof.",name:"Takahiko",middleName:null,surname:"Miyazaki",slug:"takahiko-miyazaki",fullName:"Takahiko Miyazaki"}]}],onlineFirstChaptersFilter:{topicId:"771",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:31,numberOfPublishedChapters:314,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:11,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:105,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:18,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:14,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"10",title:"Physiology",doi:"10.5772/intechopen.72796",issn:"2631-8261",scope:"Modern physiology requires a comprehensive understanding of the integration of tissues and organs throughout the mammalian body, including the cooperation between structure and function at the cellular and molecular levels governed by gene and protein expression. While a daunting task, learning is facilitated by identifying common and effective signaling pathways mediated by a variety of factors employed by nature to preserve and sustain homeostatic life. \r\nAs a leading example, the cellular interaction between intracellular concentration of Ca+2 increases, and changes in plasma membrane potential is integral for coordinating blood flow, governing the exocytosis of neurotransmitters, and modulating gene expression and cell effector secretory functions. Furthermore, in this manner, understanding the systemic interaction between the cardiovascular and nervous systems has become more important than ever as human populations' life prolongation, aging and mechanisms of cellular oxidative signaling are utilised for sustaining life. \r\nAltogether, physiological research enables our identification of distinct and precise points of transition from health to the development of multimorbidity throughout the inevitable aging disorders (e.g., diabetes, hypertension, chronic kidney disease, heart failure, peptic ulcer, inflammatory bowel disease, age-related macular degeneration, cancer). With consideration of all organ systems (e.g., brain, heart, lung, gut, skeletal and smooth muscle, liver, pancreas, kidney, eye) and the interactions thereof, this Physiology Series will address the goals of resolving (1) Aging physiology and chronic disease progression (2) Examination of key cellular pathways as they relate to calcium, oxidative stress, and electrical signaling, and (3) how changes in plasma membrane produced by lipid peroxidation products can affect aging physiology, covering new research in the area of cell, human, plant and animal physiology.",coverUrl:"https://cdn.intechopen.com/series/covers/10.jpg",latestPublicationDate:"June 20th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:11,editor:{id:"35854",title:"Prof.",name:"Tomasz",middleName:null,surname:"Brzozowski",slug:"tomasz-brzozowski",fullName:"Tomasz Brzozowski",profilePictureURL:"https://mts.intechopen.com/storage/users/35854/images/system/35854.jpg",biography:"Prof. Dr. Thomas Brzozowski works as a professor of Human Physiology and is currently Chairman at the Department of Physiology and is V-Dean of the Medical Faculty at Jagiellonian University Medical College, Cracow, Poland. His primary area of interest is physiology and pathophysiology of the gastrointestinal (GI) tract, with the major focus on the mechanism of GI mucosal defense, protection, and ulcer healing. He was a postdoctoral NIH fellow at the University of California and the Gastroenterology VA Medical Center, Irvine, Long Beach, CA, USA, and at the Gastroenterology Clinics Erlangen-Nuremberg and Munster in Germany. He has published 290 original articles in some of the most prestigious scientific journals and seven book chapters on the pathophysiology of the GI tract, gastroprotection, ulcer healing, drug therapy of peptic ulcers, hormonal regulation of the gut, and inflammatory bowel disease.",institutionString:null,institution:{name:"Jagiellonian University",institutionURL:null,country:{name:"Poland"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:5,paginationItems:[{id:"4",title:"Fungal Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/4.jpg",editor:{id:"174134",title:"Dr.",name:"Yuping",middleName:null,surname:"Ran",slug:"yuping-ran",fullName:"Yuping Ran",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bS9d6QAC/Profile_Picture_1630330675373",biography:"Dr. Yuping Ran, Professor, Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China. Completed the Course Medical Mycology, the Centraalbureau voor Schimmelcultures (CBS), Fungal Biodiversity Centre, Netherlands (2006). International Union of Microbiological Societies (IUMS) Fellow, and International Emerging Infectious Diseases (IEID) Fellow, Centers for Diseases Control and Prevention (CDC), Atlanta, USA. Diploma of Dermatological Scientist, Japanese Society for Investigative Dermatology. Ph.D. of Juntendo University, Japan. Bachelor’s and Master’s degree, Medicine, West China University of Medical Sciences. Chair of Sichuan Medical Association Dermatology Committee. General Secretary of The 19th Annual Meeting of Chinese Society of Dermatology and the Asia Pacific Society for Medical Mycology (2013). In charge of the Annual Medical Mycology Course over 20-years authorized by National Continue Medical Education Committee of China. Member of the board of directors of the Asia-Pacific Society for Medical Mycology (APSMM). Associate editor of Mycopathologia. Vice-chief of the editorial board of Chinses Journal of Mycology, China. Board Member and Chair of Mycology Group of Chinese Society of Dermatology.",institutionString:null,institution:{name:"Sichuan University",institutionURL:null,country:{name:"China"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"302145",title:"Dr.",name:"Felix",middleName:null,surname:"Bongomin",slug:"felix-bongomin",fullName:"Felix Bongomin",profilePictureURL:"https://mts.intechopen.com/storage/users/302145/images/system/302145.jpg",institutionString:null,institution:{name:"Gulu University",institutionURL:null,country:{name:"Uganda"}}},{id:"45803",title:"Ph.D.",name:"Payam",middleName:null,surname:"Behzadi",slug:"payam-behzadi",fullName:"Payam Behzadi",profilePictureURL:"https://mts.intechopen.com/storage/users/45803/images/system/45803.jpg",institutionString:"Islamic Azad University, Tehran",institution:{name:"Islamic Azad University, Tehran",institutionURL:null,country:{name:"Iran"}}}]},{id:"5",title:"Parasitic Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",editor:{id:"67907",title:"Dr.",name:"Amidou",middleName:null,surname:"Samie",slug:"amidou-samie",fullName:"Amidou Samie",profilePictureURL:"https://mts.intechopen.com/storage/users/67907/images/system/67907.jpg",biography:"Dr. Amidou Samie is an Associate Professor of Microbiology at the University of Venda, in South Africa, where he graduated for his PhD in May 2008. He joined the Department of Microbiology the same year and has been giving lectures on topics covering parasitology, immunology, molecular biology and industrial microbiology. He is currently a rated researcher by the National Research Foundation of South Africa at category C2. He has published widely in the field of infectious diseases and has overseen several MSc’s and PhDs. His research activities mostly cover topics on infectious diseases from epidemiology to control. His particular interest lies in the study of intestinal protozoan parasites and opportunistic infections among HIV patients as well as the potential impact of childhood diarrhoea on growth and child development. He also conducts research on water-borne diseases and water quality and is involved in the evaluation of point-of-use water treatment technologies using silver and copper nanoparticles in collaboration with the University of Virginia, USA. He also studies the use of medicinal plants for the control of infectious diseases as well as antimicrobial drug resistance.",institutionString:null,institution:{name:"University of Venda",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"188881",title:"Dr.",name:"Fernando José",middleName:null,surname:"Andrade-Narváez",slug:"fernando-jose-andrade-narvaez",fullName:"Fernando José Andrade-Narváez",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRIV7QAO/Profile_Picture_1628834308121",institutionString:null,institution:{name:"Autonomous University of Yucatán",institutionURL:null,country:{name:"Mexico"}}},{id:"269120",title:"Dr.",name:"Rajeev",middleName:"K.",surname:"Tyagi",slug:"rajeev-tyagi",fullName:"Rajeev Tyagi",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRaBqQAK/Profile_Picture_1644331884726",institutionString:"CSIR - Institute of Microbial Technology, India",institution:null},{id:"336849",title:"Prof.",name:"Ricardo",middleName:null,surname:"Izurieta",slug:"ricardo-izurieta",fullName:"Ricardo Izurieta",profilePictureURL:"https://mts.intechopen.com/storage/users/293169/images/system/293169.png",institutionString:null,institution:{name:"University of South Florida",institutionURL:null,country:{name:"United States of America"}}}]},{id:"6",title:"Viral Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/6.jpg",editor:{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",institutionURL:null,country:{name:"India"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"188773",title:"Prof.",name:"Emmanuel",middleName:null,surname:"Drouet",slug:"emmanuel-drouet",fullName:"Emmanuel Drouet",profilePictureURL:"https://mts.intechopen.com/storage/users/188773/images/system/188773.png",institutionString:null,institution:{name:"Grenoble Alpes University",institutionURL:null,country:{name:"France"}}},{id:"188219",title:"Prof.",name:"Imran",middleName:null,surname:"Shahid",slug:"imran-shahid",fullName:"Imran Shahid",profilePictureURL:"https://mts.intechopen.com/storage/users/188219/images/system/188219.jpeg",institutionString:null,institution:{name:"Umm al-Qura University",institutionURL:null,country:{name:"Saudi Arabia"}}},{id:"214235",title:"Dr.",name:"Lynn",middleName:"S.",surname:"Zijenah",slug:"lynn-zijenah",fullName:"Lynn Zijenah",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSEJGQA4/Profile_Picture_1636699126852",institutionString:null,institution:{name:"University of Zimbabwe",institutionURL:null,country:{name:"Zimbabwe"}}},{id:"178641",title:"Dr.",name:"Samuel Ikwaras",middleName:null,surname:"Okware",slug:"samuel-ikwaras-okware",fullName:"Samuel Ikwaras Okware",profilePictureURL:"https://mts.intechopen.com/storage/users/178641/images/system/178641.jpg",institutionString:null,institution:{name:"Uganda Christian University",institutionURL:null,country:{name:"Uganda"}}}]}]},overviewPageOFChapters:{paginationCount:19,paginationItems:[{id:"82196",title:"Multi-Features Assisted Age Invariant Face Recognition and Retrieval Using CNN with Scale Invariant Heat Kernel Signature",doi:"10.5772/intechopen.104944",signatures:"Kamarajugadda Kishore Kumar and Movva Pavani",slug:"multi-features-assisted-age-invariant-face-recognition-and-retrieval-using-cnn-with-scale-invariant-",totalDownloads:6,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"82063",title:"Evaluating Similarities and Differences between Machine Learning and Traditional Statistical Modeling in Healthcare Analytics",doi:"10.5772/intechopen.105116",signatures:"Michele Bennett, Ewa J. Kleczyk, Karin Hayes and Rajesh Mehta",slug:"evaluating-similarities-and-differences-between-machine-learning-and-traditional-statistical-modelin",totalDownloads:6,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Machine Learning and Data Mining - Annual Volume 2022",coverURL:"https://cdn.intechopen.com/books/images_new/11422.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"81791",title:"Self-Supervised Contrastive Representation Learning in Computer Vision",doi:"10.5772/intechopen.104785",signatures:"Yalin Bastanlar and Semih Orhan",slug:"self-supervised-contrastive-representation-learning-in-computer-vision",totalDownloads:24,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"79345",title:"Application of Jump Diffusion Models in Insurance Claim Estimation",doi:"10.5772/intechopen.99853",signatures:"Leonard Mushunje, Chiedza Elvina Mashiri, Edina Chandiwana and Maxwell Mashasha",slug:"application-of-jump-diffusion-models-in-insurance-claim-estimation-1",totalDownloads:8,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Data Clustering",coverURL:"https://cdn.intechopen.com/books/images_new/10820.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}}]},overviewPagePublishedBooks:{paginationCount:9,paginationItems:[{type:"book",id:"7723",title:"Artificial Intelligence",subtitle:"Applications in Medicine and Biology",coverURL:"https://cdn.intechopen.com/books/images_new/7723.jpg",slug:"artificial-intelligence-applications-in-medicine-and-biology",publishedDate:"July 31st 2019",editedByType:"Edited by",bookSignature:"Marco Antonio Aceves-Fernandez",hash:"a3852659e727f95c98c740ed98146011",volumeInSeries:1,fullTitle:"Artificial Intelligence - Applications in Medicine and Biology",editors:[{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}}]},{type:"book",id:"7726",title:"Swarm Intelligence",subtitle:"Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/7726.jpg",slug:"swarm-intelligence-recent-advances-new-perspectives-and-applications",publishedDate:"December 4th 2019",editedByType:"Edited by",bookSignature:"Javier Del Ser, Esther Villar and Eneko Osaba",hash:"e7ea7e74ce7a7a8e5359629e07c68d31",volumeInSeries:2,fullTitle:"Swarm Intelligence - Recent Advances, New Perspectives and Applications",editors:[{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null}]},{type:"book",id:"7656",title:"Fuzzy Logic",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7656.jpg",slug:"fuzzy-logic",publishedDate:"February 5th 2020",editedByType:"Edited by",bookSignature:"Constantin Volosencu",hash:"54f092d4ffe0abf5e4172a80025019bc",volumeInSeries:3,fullTitle:"Fuzzy Logic",editors:[{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",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. 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\r\n\tThe environment is subject to severe anthropic effects. Among them are those associated with pollution, resource extraction and overexploitation, loss of biodiversity, soil degradation, disorderly land occupation and planning, and many others. These anthropic effects could potentially be caused by any inadequate management of the environment. However, ecosystems have a resilience that makes them react to disturbances which mitigate the negative effects. It is critical to understand how ecosystems, natural and anthropized, including urban environments, respond to actions that have a negative influence and how they are managed. It is also important to establish when the limits marked by the resilience and the breaking point are achieved and when no return is possible. The main focus for the chapters is to cover the subjects such as understanding how the environment resilience works, the mechanisms involved, and how to manage them in order to improve our interactions with the environment and promote the use of adequate management practices such as those outlined in the United Nations’ Sustainable Development Goals.
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