Parameters for simulating the interaction among companies in adopting sustainable management practices
\\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:"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"},{slug:"intechopen-identified-as-one-of-the-most-significant-contributor-to-oa-book-growth-in-doab-20210809",title:"IntechOpen Identified as One of the Most Significant Contributors to OA Book Growth in DOAB"}]},book:{item:{type:"book",id:"6275",leadTitle:null,fullTitle:"Supercapacitors - Theoretical and Practical Solutions",title:"Supercapacitors",subtitle:"Theoretical and Practical Solutions",reviewType:"peer-reviewed",abstract:"This edited volume Supercapacitors: Theoretical and Practical Solutions is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in the field of electronic devices and materials. The book comprises single chapters authored by various researchers and is edited by a group of experts. Each chapter is complete in itself but united under a common research study topic. This publication aims at providing a thorough overview of the latest research efforts by international authors on electronic devices and materials and opens new possible research paths for further novel developments.",isbn:"978-1-78923-353-7",printIsbn:"978-1-78923-352-0",pdfIsbn:"978-1-83881-372-7",doi:"10.5772/intechopen.69087",price:119,priceEur:129,priceUsd:155,slug:"supercapacitors-theoretical-and-practical-solutions",numberOfPages:166,isOpenForSubmission:!1,isInWos:1,isInBkci:!1,hash:"94a2398d62d5bcefd79ae73a0003ad7a",bookSignature:"Lionginas Liudvinavičius",publishedDate:"June 27th 2018",coverURL:"https://cdn.intechopen.com/books/images_new/6275.jpg",numberOfDownloads:10704,numberOfWosCitations:23,numberOfCrossrefCitations:24,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:48,numberOfDimensionsCitationsByBook:0,hasAltmetrics:0,numberOfTotalCitations:95,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 11th 2017",dateEndSecondStepPublish:"June 1st 2017",dateEndThirdStepPublish:"November 26th 2017",dateEndFourthStepPublish:"December 26th 2017",dateEndFifthStepPublish:"February 26th 2018",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"32614",title:"Dr.",name:"Lionginas",middleName:null,surname:"Liudvinavičius",slug:"lionginas-liudvinavicius",fullName:"Lionginas Liudvinavičius",profilePictureURL:"https://mts.intechopen.com/storage/users/32614/images/5340_n.jpg",biography:"Assoc. Prof. Dr. Lionginas Liudvinavičius received qualification of Electrics Engineer in Kaunas University Technology and studied in St. Petersburg Railway Institute (1970-1975). Received Ph.D. degree of Technical Sciences at Vilnius Gediminas Technical University (VGTU) in 2012 and title of Association Professor in 2016. Currently he is working at Department of Railway Transport of VGTU. From 1975 to 2000 he worked as head of various departments of Lithuanian Railways. Transport Minister awarded him 'Honored Railwayman Name” (1998) and the second grade awards for contribution to Lithuanian Railways (2010). He is reviewer for IEEE journals. He has authored/coauthored many papers in journals, conference proceedings and he is coauthor of study manuals. His research interests are Railway Electrification, Electric Traction, Modern Electric Drive parameters automatic control, Locomotive Traction Converters, Electrical Machinery, Theoretical and Practical Aspects of Use Electrodynamic Braking, Hybrids vehicles, Energy Saving and Storage Systems using Supercapacitors.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"1",institution:null}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"740",title:"Electronic Devices and Materials",slug:"electronic-devices-and-materials"}],chapters:[{id:"58877",title:"Supercapacitor-Based Hybrid Energy Harvesting for Low-Voltage System",doi:"10.5772/intechopen.71565",slug:"supercapacitor-based-hybrid-energy-harvesting-for-low-voltage-system",totalDownloads:1148,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"This research provides a platform for a novel innovative approach toward an off-grid energy harvesting system for Maglev VAWT. This stand-alone system can make a difference for using small-scale electronic devices. The configuration presents a 200 W 12 V 16 Pole AFPMSG attached to Maglev VAWT of 14.5 cm radius and 60 cm of height. The energy harvesting circuit shows better efficiency in charging battery in all aspects compared to direct charging of battery regardless with or without converter. Based on analysis and results carried out in this research, all feasibility studies and information are provided for the next barrier.",signatures:"MD Shahrukh Adnan Khan, Rajprasad Kumar Rajkumar, Wong Yee\nWan and Anas Syed",downloadPdfUrl:"/chapter/pdf-download/58877",previewPdfUrl:"/chapter/pdf-preview/58877",authors:[{id:"210576",title:"Dr.",name:"Md Shahrukh Adnan",surname:"Khan",slug:"md-shahrukh-adnan-khan",fullName:"Md Shahrukh Adnan Khan"},{id:"210579",title:"Dr.",name:"Rajprasad Kumar",surname:"Rajkumar",slug:"rajprasad-kumar-rajkumar",fullName:"Rajprasad Kumar Rajkumar"},{id:"224612",title:"Dr.",name:"Yee Wan",surname:"Wong",slug:"yee-wan-wong",fullName:"Yee Wan Wong"},{id:"224613",title:"Mr.",name:"Anas",surname:"Syed",slug:"anas-syed",fullName:"Anas Syed"}],corrections:null},{id:"58814",title:"Ionic Liquid for High Voltage Supercapacitor",doi:"10.5772/intechopen.73053",slug:"ionic-liquid-for-high-voltage-supercapacitor",totalDownloads:1683,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:0,abstract:"Pure ionic liquids (ILs) and IL mixtures in organic solvents have been investigated for higher operating voltages around 3.0–4.0 V. ILs have design flexibility due to the numerous possible combinations of anions and cations. Current research on ILs as electrolytes has focused on several ILs, including imidazolium and pyrrolidinium. At early stages, various ILs have been studied as salts of electrolyte with organic solvents like acetonitrile and propylene carbonate. Neat ILs have been applied for high-performance electrolyte, and some of them have been used as electrolyte (1-ethyl 3-methylimidazolium tetrafluoroborate). These liquid electrolytes need additional encapsulation; therefore, SCs applied ILs face difficulty in integration and manufacturing flexible devices. These drawbacks can be solved by adopting a polymer electrolyte because the ILs maintain the conductivity even when solidified, unlike a typical organic electrolyte. Common polymer matrixes such as PVdF, PMMA, and PVA have been suggested to embed ILs. Poly(ionic liquid) (PIL) is also studied. PIL is a polymer electrolyte containing a polymer backbone and an IL species in the monomer repeat unit. PIL-based polymer electrolytes have high ionic conductivity, wide electrochemical windows, and high thermal stability.",signatures:"Jeeyoung Yoo",downloadPdfUrl:"/chapter/pdf-download/58814",previewPdfUrl:"/chapter/pdf-preview/58814",authors:[{id:"211423",title:"Dr.",name:"Jeeyoung",surname:"Yoo",slug:"jeeyoung-yoo",fullName:"Jeeyoung Yoo"}],corrections:null},{id:"56956",title:"Electrochemical Capacitor Performance: Influence of Aqueous Electrolytes",doi:"10.5772/intechopen.70694",slug:"electrochemical-capacitor-performance-influence-of-aqueous-electrolytes",totalDownloads:2066,totalCrossrefCites:16,totalDimensionsCites:32,hasAltmetrics:0,abstract:"Due to low energy characteristics such as energy density and cyclic life, it is mandatory to enhance the energy characteristics of the supercapacitors (ESs). Electrolytes have been recognized as the most prominent ingredients in electrochemical supercapacitor performance. Most commercially available ESs use organic electrolytes and have some advantage like wide operating voltage. However, compared with aqueous alternatives, organic electrolytes are expensive, flammable, and, in some cases, toxic. It is reliable to assert that even though aqueous electrolytes examined by a cramped working voltage, the ions present in them are yet capable of incredibly faster carrier rates than organic electrolytes and can achieve better performance of ESs. Thus, efforts turned toward enlarging the working voltage window of aqueous electrolytes to increase overall operating potential and energy density of supercapacitor devices. This book chapter comprises the latest accomplishments in this area and provides an insight into the aqueous electrolyte advancement.",signatures:"Rajendran Ramachandran and Fei Wang",downloadPdfUrl:"/chapter/pdf-download/56956",previewPdfUrl:"/chapter/pdf-preview/56956",authors:[{id:"212251",title:"Dr.",name:"Fei",surname:"Wang",slug:"fei-wang",fullName:"Fei Wang"},{id:"212284",title:"Dr.",name:"Rajendran",surname:"Ramachandran",slug:"rajendran-ramachandran",fullName:"Rajendran Ramachandran"}],corrections:null},{id:"57168",title:"Performance of Aqueous Ion Solution/Tube-Super Dielectric Material-Based Capacitors as a Function of Discharge Time",doi:"10.5772/intechopen.71003",slug:"performance-of-aqueous-ion-solution-tube-super-dielectric-material-based-capacitors-as-a-function-of",totalDownloads:1060,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"The discharge time dependence of key parameters of electrostatic capacitors employing a dielectric composed of the oxide film formed on titanium via anodization, saturated with various aqueous ion solutions, that is tube-super dielectric materials (T-SDM), was thoroughly documented for the first time. The capacitance, dielectric constant, and energy density of novel paradigm supercapacitors (NPS) based on T-SDM saturated with various concentrations of NaNO3, NH4Cl, or KOH were all found to roll-off with decreasing discharge time in a fashion well described by simple power law relations. In contrast, power density, also well described by a simple power law, was found to increase with decreasing discharge time, in fact nearly reaching 100 W/cm3 for both 30 wt% KOH and NaNO3 solution-based capacitors at 0.01 s, excellent performance for pulsed power. For all capacitors, the dielectric constant was tested, which was greater than 105 for discharge times >0.01 s, confirming the materials are in fact T-SDM. The energy density for most of the capacitors was greater than 80 J/cm3 of dielectric at a discharge time of 100 s, once again demonstrating that these capacitors are competitive for energy storage not only with existing commercial supercapacitors but also with the best prototype carbon-based supercapacitors.",signatures:"Steven M. Lombardo and Jonathan Phillips",downloadPdfUrl:"/chapter/pdf-download/57168",previewPdfUrl:"/chapter/pdf-preview/57168",authors:[{id:"218394",title:"Prof.",name:"Jonathan",surname:"Phillips",slug:"jonathan-phillips",fullName:"Jonathan Phillips"},{id:"218396",title:"MSc.",name:"Steven",surname:"Lombardo",slug:"steven-lombardo",fullName:"Steven Lombardo"}],corrections:null},{id:"59872",title:"Enhancing Pseudocapacitive Process for Energy Storage Devices: Analyzing the Charge Transport Using Electro-kinetic Study and Numerical Modeling",doi:"10.5772/intechopen.73680",slug:"enhancing-pseudocapacitive-process-for-energy-storage-devices-analyzing-the-charge-transport-using-e",totalDownloads:1513,totalCrossrefCites:2,totalDimensionsCites:5,hasAltmetrics:0,abstract:"Supercapacitors are a class of energy storage devices that store energy by either ionic adsorption via an electrochemical double layer capacitive process or fast surface redox reaction via a pseudocapacitive process. Supercapacitors display fast charging and discharging performance and excellent chemical stability, which fill the gap between high energy density batteries and high-power-density electrostatic capacitors. In this book chapter, the authors have presented the current studies on improving the capacitive storage capacity of various electrode materials for supercapacitors, mainly focusing on the metal oxide electrode materials. In particular, the approaches that mathematically simulate the behavior of interaction between electrode materials and charge carriers subject to potentiodynamic conditions (e.g., cyclic voltammetry) have been described. These include a general relationship between current and voltage to describe overall electrokinetics during the charge transfer process and a more comprehensive numerical modeling that studies ionic transport and electrokinetics within a spherical solid particle. The two aforementioned types of mathematical analyses can provide fundamental understanding of the parameters governing the electrode reaction and mass transfer in the electrode material, and thus shed light on how to improve the storage capacity of supercapacitors.",signatures:"Fenghua Guo, Nivedita Gupta and Xiaowei Teng",downloadPdfUrl:"/chapter/pdf-download/59872",previewPdfUrl:"/chapter/pdf-preview/59872",authors:[{id:"24478",title:"Prof.",name:"Xiaowei",surname:"Teng",slug:"xiaowei-teng",fullName:"Xiaowei Teng"},{id:"240109",title:"Mr.",name:"Fenghua",surname:"Guo",slug:"fenghua-guo",fullName:"Fenghua Guo"},{id:"240110",title:"Prof.",name:"Nivedita",surname:"Gupta",slug:"nivedita-gupta",fullName:"Nivedita Gupta"}],corrections:null},{id:"58793",title:"Direct Laser Writing of Supercapacitors",doi:"10.5772/intechopen.73000",slug:"direct-laser-writing-of-supercapacitors",totalDownloads:1084,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Direct laser writing is a single-step fabrication technique for the micro and nanostructures even below the sub-diffraction limits. In recent times, the technique is adapted to the fabrication of on-chip energy storages with additional features of flexibility and stretchability. The major category of the energy storages taken into consideration for laser writing belongs to the family of supercapacitors which is known for the high rate of charge transfer, longer life spans and lesser charging times in comparison with traditional batteries. The technology explores the possibilities of non-explosive all solid-state energy storage integration with portable and wearable applications. These features can enable the development of self-powered autonomous devices, vehicles and self-reliant infrastructures. In this chapter, we discuss the progress, challenges and perspectives of micro-supercapacitors fabricated using direct laser writing.",signatures:"Litty V. Thekkekara",downloadPdfUrl:"/chapter/pdf-download/58793",previewPdfUrl:"/chapter/pdf-preview/58793",authors:[{id:"227543",title:"Dr.",name:"Litty",surname:"Thekkekara",slug:"litty-thekkekara",fullName:"Litty Thekkekara"}],corrections:null},{id:"58845",title:"Toward High-Voltage/Energy Symmetric Supercapacitors via Interface Engineering",doi:"10.5772/intechopen.73131",slug:"toward-high-voltage-energy-symmetric-supercapacitors-via-interface-engineering",totalDownloads:1029,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:0,abstract:"This chapter includes elaborately selected recent literatures on electrochemical energy storing in symmetric supercapacitors (SSCs) with high operating voltages (voltage >1.6 V) and high specific energy. SSCs are a typical sort of electrochemical capacitors with larger energy density than conventional capacitors; by involving electrode materials with stable interfaces (for instance, nitrogen-doped carbon materials) and electrolytes with wide safe potential window (for instance, ionic liquids), they can supply competitive energy relative to batteries. Fundamentals of SSCs are first introduced, aiming at clarifying some critical interfacial phenomena that are critical to enhance overall capacitive performance. State-of-the-art SSCs are included as demonstrations from the aspects of both enhanced capacitances and expanded voltages. We also provide a few feasible strategies for the design high-voltage/energy SSCs such as using inactive electrode materials.",signatures:"Yaqun Wang and Guoxin Zhang",downloadPdfUrl:"/chapter/pdf-download/58845",previewPdfUrl:"/chapter/pdf-preview/58845",authors:[{id:"228334",title:"Prof.",name:"Guoxin",surname:"Zhang",slug:"guoxin-zhang",fullName:"Guoxin Zhang"},{id:"228336",title:"Prof.",name:"Yaqun",surname:"Wang",slug:"yaqun-wang",fullName:"Yaqun Wang"}],corrections:null},{id:"60803",title:"Classical Density Functional Theory Insights for Supercapacitors",doi:"10.5772/intechopen.76339",slug:"classical-density-functional-theory-insights-for-supercapacitors",totalDownloads:1125,totalCrossrefCites:3,totalDimensionsCites:4,hasAltmetrics:0,abstract:"The most urgent issue for supercapacitor is to improve their energy density so that they can better compete with batteries. To design materials and interfaces for supercapacitor with higher energy density requires a deeper understanding of the factors and contributions affecting the total capacitance. In our recent works, the classical density functional theory (CDFT) was developed and applied to study the electrode/electrolyte interface behaviors, to understand capacitive energy storage. For porous electrode materials, we studied the pore size effect, curvature effect, and the surface modification of porous materials on the capacitance. Thought CDFT, we have found that the curvature effects on convex and concave EDLs are drastically different and that materials with extensive convex surfaces will lead to maximized capacitance; CDFT also predicts oscillatory variation of capacitance with pore size, but the oscillatory behavior is magnified as the curvature increases; an increase in the ionophobicity of the nanopores leads to a higher capacity for energy storage, and a pore-like impurity can enter the pore, makes the pore ionophobic and storage more energy. We also find the mixture effect, which makes more counterions pack on and more co-ions leave from the electrode surface, leads to an increase of the counterion density within the EDL and thus a larger capacitance.",signatures:"Cheng Lian and Honglai Liu",downloadPdfUrl:"/chapter/pdf-download/60803",previewPdfUrl:"/chapter/pdf-preview/60803",authors:[{id:"182639",title:"Dr.",name:"Honglai",surname:"Liu",slug:"honglai-liu",fullName:"Honglai Liu"},{id:"228687",title:"Dr.",name:"Cheng",surname:"Lian",slug:"cheng-lian",fullName:"Cheng Lian"}],corrections:null}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"3645",title:"Passive Microwave Components and Antennas",subtitle:null,isOpenForSubmission:!1,hash:null,slug:"passive-microwave-components-and-antennas",bookSignature:"Vitaliy Zhurbenko",coverURL:"https://cdn.intechopen.com/books/images_new/3645.jpg",editedByType:"Edited by",editors:[{id:"3721",title:"Prof.",name:"Vitaliy",surname:"Zhurbenko",slug:"vitaliy-zhurbenko",fullName:"Vitaliy Zhurbenko"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"253",title:"Organic Light Emitting Diode",subtitle:"Material, Process and Devices",isOpenForSubmission:!1,hash:"bf0742adef8e8ae73b12780081eeb1d7",slug:"organic-light-emitting-diode-material-process-and-devices",bookSignature:"Seung Hwan Ko",coverURL:"https://cdn.intechopen.com/books/images_new/253.jpg",editedByType:"Edited by",editors:[{id:"33170",title:"Prof.",name:"Seung Hwan",surname:"Ko",slug:"seung-hwan-ko",fullName:"Seung Hwan Ko"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3644",title:"Semiconductor Technologies",subtitle:null,isOpenForSubmission:!1,hash:null,slug:"semiconductor-technologies",bookSignature:"Jan Grym",coverURL:"https://cdn.intechopen.com/books/images_new/3644.jpg",editedByType:"Edited by",editors:[{id:"4283",title:"Ph.D.",name:"Jan",surname:"Grym",slug:"jan-grym",fullName:"Jan Grym"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6489",title:"Light-Emitting Diode",subtitle:"An Outlook On the Empirical Features and Its Recent Technological Advancements",isOpenForSubmission:!1,hash:"20818f168134f1af35547e807d839463",slug:"light-emitting-diode-an-outlook-on-the-empirical-features-and-its-recent-technological-advancements",bookSignature:"Jagannathan Thirumalai",coverURL:"https://cdn.intechopen.com/books/images_new/6489.jpg",editedByType:"Edited by",editors:[{id:"99242",title:"Prof.",name:"Jagannathan",surname:"Thirumalai",slug:"jagannathan-thirumalai",fullName:"Jagannathan Thirumalai"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7567",title:"Science, Technology and Advanced Application of Supercapacitors",subtitle:null,isOpenForSubmission:!1,hash:"6f3c82213ad65bc6260c0164da9319f4",slug:"science-technology-and-advanced-application-of-supercapacitors",bookSignature:"Takaya Sato",coverURL:"https://cdn.intechopen.com/books/images_new/7567.jpg",editedByType:"Edited by",editors:[{id:"51962",title:"Prof.",name:"Takaya",surname:"Sato",slug:"takaya-sato",fullName:"Takaya Sato"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6509",title:"Energy Harvesting",subtitle:null,isOpenForSubmission:!1,hash:"9665f0b76c3e7d51613f12f86efc3767",slug:"energy-harvesting",bookSignature:"Reccab Manyala",coverURL:"https://cdn.intechopen.com/books/images_new/6509.jpg",editedByType:"Edited by",editors:[{id:"12002",title:"Associate Prof.",name:"Reccab",surname:"Manyala",slug:"reccab-manyala",fullName:"Reccab Manyala"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"8724",title:"Gas Sensors",subtitle:null,isOpenForSubmission:!1,hash:"bc4be4b954b559709aaace45f70adcd0",slug:"gas-sensors",bookSignature:"Sher Bahadar Khan, Abdullah M. 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Furthermore, in recent years, consumers and legislation have been pressing companies to address the issue of sustainable development in their operations, converting this into an important and challenging task in the new business world [2, 3].
\nThe integration of sustainability into supply chains is a critical next step in achieving sustainable development, as supply chains consider the product from the moment when the raw materials are first processed until the product is delivered to the end-user. In this sense, sustainability must ensure issues and flows that extend beyond the core of supply chain management (SCM) [4]. SCM has traditionally been used to describe the planning and control of materials, information flows, and the logistics activities within a company as well as externally among companies [5]. However, the growing interest in SCM has led to numerous definitions being developed to describe it and to some characteristics of sustainability being incorporated into it, for example, the concept of sustainable supply chain management (SSCM). In the last ten years, a number of literature reviews have been published on SSCM [6–8], decision-support tools for SSCM [9, 10], SSCM practices [11, 12] and sustainable supply chain planning [13]. Interesting results are showed in Ref. 6 where a total of 12 definitions for SSCM were identified and its analysis showed that the characteristics of SCM that are most commonly addressed in the definitions were coordination focus and flow focus, while the sustainability characteristics that were explicitly addressed were the three dimensions of the triple bottom line of economic, environmental and social considerations, the stakeholders’ focus and the long-term focus of business sustainability. From the systemic perspective, we propose that SSCM is a complex system made up by large numbers of adaptive companies at multiple scales that have adopted sustainable management practices and whose sustainability objectives are based on the three aspects of sustainable development: economic, environmental and social aspects. In this sense, the cooperative management of material, information and capital flows derived from customer and stakeholders’ requirements emerges from the interaction among companies that acquire multiple sustainable strategies they need to survive in the greater macro environment.
\nSSCM research has mainly been qualitative, based on conceptual frameworks and empirical ones, using case studies and surveys [14]. A review of recent SSCM modeling shows that researchers have used deterministic approaches and integrated some environmental and sustainability aspects, while neglecting stochastic modeling techniques such as: considering social factors [14], equilibrium models and multi-criteria decision making. All these approaches lead to three main analytical subjects: an analytical hierarchy but without taking into account the social side of sustainability [15], an analytical network process and a life cycle analysis [16]. A hybrid methodology for the modeling and optimization of decision problems in SSCM is presented in Ref. 17. SSCM modeling is a young research area that needs more modeling-based research in order to fully integrate SSCM into business practice. To understand the complex dynamics of SSCM, it is not feasible to apply traditional modeling approaches because they do not take social aspects into account and cannot explain the emergence of cooperation and the dynamic evolution of modern supply chains. So, it is necessary to adopt the complex adaptive system (CAS) approach to achieve a new way of thinking in SCCM research.
\nCASs are systems where complex behavior emerges as a whole pattern in different scales and as the result of the non-linear interaction of large numbers of simple components, and the system is able to cooperate, adapt, learn and evolve, improving its performance over time. In addition, CASs demonstrate their resilience, their ability to experience external shock and respond to them by recovery and adaptation. In this sense, modern SCM is a collectively self-sustaining structure of functions and obligations that lives in a socio-economic-environmental world, exchanges signals, and survives or dies. CASs are distinguished by the extensive use of computer simulation as a research tool. Several scholars have studied supply chain problems based on a CAS approach and obtained results from their research [18–21]. In this chapter we present a study concerning the modeling of SSCM as a CAS. The aim of this chapter is to develop an evolutionary game theory-based model of SSCM to understand how cooperation emerges from interactions among companies in a supply chain in order to adopt sustainable management practices, taking into account the social side of sustainability. We propose game-dynamical replicator equations for multiple populations in the PD game for the mathematical model and implement it using NetLogo software. We find that sustainable management of supply chains based on a CAS approach really appreciates the interactions among companies in supply chains and the complex dynamics that they create, which can enhance the resilience of the SSCM as a whole when responding to the complex environment.
\nThis chapter is organized as follows. We begin by reviewing the characteristics of a resilient SSCM in Section 2. The top-down and bottom-up modeling approaches and decision making in SSCM are presented in Section 3. We develop and implement the game-dynamical replicator equations for multiple populations in the PD game as the simulation model of SSCM using NetLogo software and then we analyze how cooperation emerges from interactions among companies in a supply chain to adopt sustainable management practices, in Section 4. Based on the simulation results, some proposals for sustainable, adaptive and cooperative management of supply chains are outlined in Section 5 and we give our conclusions in Section 6.
\nFrom the systemic perspective, the best ways for the SSCM to face future global challenges characterized by unpredictable socio-ecological-economic situations are by having the flexibility, through its systemic resilience, to adapt to new situations, absorb shocks and recover quickly.
\nIn the past few years, resilience has been used significantly for governing and managing a transition toward sustainability [22]. As suggested by Walker and Salt [23], the key to ensuring a sustainable and resilient supply of the essential ecosystem services on which humanity depends on is by enhancing the resilience of socio-ecological systems, instead of optimizing isolated components of the system. So, in SSCM, diverse components such as companies, suppliers, stakeholders and consumers provide different options for responding to change and dealing with the uncertainty and the unforeseen caused by interactions with its complex environment, but the SSCM needs to respond in a coordinated and collaborative way. According to Carpenter et al. [24], systemic resilience has three defining characteristics that, when applied to SSCM, are as follows:
The amount of change a SSCM can experience and still remain within the same domain of attraction.
The degree to which SSCM is capable of self-organization.
The degree to which SSCM can build the capacity to learn and to adapt.
A SSCM is a network of many actors such as consumers, providers, producers, etc. that interact in parallel through the interchange of material, information and capital flows. From their interactions arise global patterns of self-organization that to some degree will enable the SSCM to be resilient due to the structure. It is important to note that the degree of self-organization of the SSCM´s companies is variable, unpredictable and an individual understanding of each particular consumer, provider or producer would not have been made it possible to predict it.
\nOne tool for enhancing the resilience of SSCM could be adaptive management, increasing the collective capacity of stakeholders and companies of a SC to learn and adapt in a sustainable development context. The diversity of the components in the SSCM also permits them to compensate for the loss or failure of others by redundancy in their material, information and capital flows. Participation through the active engagement of all the relevant stakeholders of SC is considered fundamental for building the relationships needed to improve socio-ecological-economic resilience. As suggested in Ref. 25, collaboration, as a requirement for implementing sustainable management approaches, may contribute to inter-organizational dynamics by strengthening the knowledge absorption capacity, structuring solutions, and motivating activity around a commonly defined goal such as the sustainability of supply chains.
\nThe complexity of a SSCM is derived from the interchange of material, information and capital flows among companies that have adopted sustainable management practices in a complex environment. If there are a lot of strong interactions as a result of globalization and technological change, then the SSCM becomes vulnerable due to the presence of undesired cascade and side-effects. This means that the SSCM would not be able to recover well from disruptions and, in consequence, will not be sufficiently resilient to survive. In order to avoid a catastrophic situation and, following recommendations for a well-designed system, the SSCM needs to be designed in a hierarchical way of functional modules or units, taking into account dynamic and adaptive decoupling strategies between these modules to minimize the level of connectivity in order to prevent a cascade effect. Additionally, the interactions among companies could be modified as much as necessary to let new outcomes emerge such as, for example, cooperation among companies. In order to reduce the impact of dysfunctional links on the hierarchical structure of the SSCM, redundant interactions among companies and stakeholders with a lower level of connectivity need to be implemented. This means that one strategy to be implemented by the SSCM in order to survive being resilient is for it to operate in a modular way with a low level of connection between modules. In the next section, we present the top-down and bottom-up modeling approaches and decision making in SSCM to understand how the emergence of resilience of a SSCM from interrelations among companies can be modeled.
\nOn the one hand, when studying CASs, it is necessary to develop models that represent the real system through abstractions of the aspects of interest based on macro and micro perspectives. For this, we start to develop a system model from a top-down perspective that considers the system as a whole at macro level. Then, when the bottom is reached, the bottom-up deduction is used but guided by the top-down view, at micro level. On the other hand, the decision-making process in the SSCM has been traditionally based on the top-down approach. It means that leader companies exert their command and control power in a centralized way but limiting the adaptation of local companies and canceling the collective intelligence of the SSCM. This traditional decision-making process is not sufficient for modern SSCM, which is characterized by unpredictable situations that demand the adaptation and learning of local companies.
\nIn order to model a real CAS, it is necessary to observe the system structures at macro level. The top-down approach is a holistic perspective provided by synthetic microanalysis, in which experiments are performed to find natural emergent properties and delineate macroscopic phenomena with systemic concepts [26]. It represents the first approximation to the real system. Top-down decision making (see Figure 1) works very well in SSCMs that are simple and deterministic, not complex. In this case, the SSCM can be considered predictable, with low variability and centralized control, so its performance can be enhanced. At macro level, the decision time is more important than the consensus between the constituent parts. A SSCM that is controlled from the top-down is vulnerable due to the concentration of power that makes it easily corruptible [27] in the exchange of information, material and capital. So, the top-down approach needs to be complemented by the bottom-up approach in order to enhance the resilience in a SSCM for increasing the collective capacity of companies and stakeholders to learn and adapt in a sustainable development context.
\nDiagram of the top-down approach, the flow of information, materials and capital is represented by arrows.
Once the system structures have been observed based on the top-down perspective and the bottom has been reached, we need to analyze them in terms of the laws of their constituent parts combined with suitable idealization and approximation [26] at the micro level. The bottom-up approach is a deductive perspective, in which experiments are performed to find natural emergent properties at certain levels as a result of the interactions between the constituent parts.
\nBottom-up decision making (see Figure 2) works very well in SSCM with coordination mechanisms that support flexibility, local adaptations, creativity and diversity. In this case, the power is decentralized, and both the companies and stakeholders in the SSCM are empowered and self-organized according to their interrelations, based on their own sustainability objectives, enabling the sustainable collective intelligence to be more resilient.
\nDiagram of bottom-up approach, the flow of information, materials and capital is represented by arrows.
Synthetic microanalysis (see Figure 3) still combines the top-down and bottom-up perspectives, uniting without reducing. Based on synthetic microanalysis, system and constituents’ views, each confirmed by experiments, we are able to find out about the approximations, idealizations, and possible contingent factors required for connecting them [26]. The main purpose of synthetic microanalysis is to use the net of macro concepts to obtain the feedback of the micro information relevant to the explanation of system’s emergent properties.
\nDiagram of synthetic microanalysis.
In the next section, we propose game-dynamical replicator equations for multiple populations in the PD game as the SSCM model, using the bottom-up approach. Then we implement it in a computer using NetLogo software. From the computer simulation results, we analyze how cooperation emerges from interactions among companies in a supply chain for the adoption of sustainable management practices that could, in some sense, favor the resilience of the SSCM.
\nBy modeling the SSCM as a CAS, we can study its ability to reorganize its constituent adaptive companies at multiple scales so that it can face the problems posed by its macro environment. In a world of selfish companies, from their interactions, cooperation could emerge as a way of achieving sustainability in their management. We observe that, in the literature, in order to gain a better understanding of factors promoting cooperation among individuals, biologists, economists, social scientists, mathematicians and physicists have intensively studied game theoretical problems such as Prisioner´s dilema game, snowdrift game, and public goods game [28].
\nGame theory was developed by John von Neumann in 1928 and discussed in Ref. 29 as a theory of “games of strategy” to provide a new approach to a number of economic questions. Game theory assumes that a fraction of people known as cooperators interacts with another fraction known as non-cooperators. Therefore, a large amount of research has focused on how cooperation can be supported by mechanisms such as repeated interactions; reputation; clusters of cooperative individuals; costly punishment; success-driven migration [30, 31]. But, the problem of cooperation among groups with different preferences such as the SSCM (e.g. suppliers, manufacturers and retailers with different sustainable goals in the three dimensions: economic, environmental and social) is a young research area that needs attention.
\nFor example, in a SSCM, suppliers and manufacturers appear to practice different sustainable management but they interact with each other on a daily basis interchanging material, information and capital flows, not necessarily in a sustainable way. In this sense, it is important to see whether it is possible to identify preconditions for cooperation among companies that belong to the same supply chain, in order to adopt sustainable management practices without being controlled by a central authority. To answer this research question, we model cooperation in an evolutionary game-theoretical way. Evolutionary game theory goes back to John Maynard Smith [32, 33] who adopted the methods proposed by von Neumann to the context of biological natural selection. Evolutionary game theory studies the strategies of populations of agents who repeatedly engage in strategic interactions. The evolution of behavior of populations is represented by the so-called replicator dynamic introduced by Taylor and Jonker [34, 35]. In this situation, when two populations characterized by the “strategies” or “behaviors”
According to Helbing and Lozano [36], the replicator equation is as follows:
where the relative frequency of behavior
In this study, we consider the PD game that is an abstract formulation of some very common and very interesting situations [30], in which what is best for each company individually leads to mutual defection, when every company would have been better off with mutual cooperation. We propose game-dynamical replicator equations for multiple populations to describe the evolution in time of the proportions
According to Helbing et al [37], the game-dynamical replicator equations for two populations are as follows:
where the functions
In this study, the model was developed using agent-based modeling methodology and implemented using NetLogo software. This software is still the most widely used agent-based modeling language [38]. The agents represent the companies and they are grouped in two populations according to whether or not they prefer to adopt sustainable management practices. We propose six parameters in the model: the number of groups of companies in the supply chain (NG), the number of companies in each group (NC), the cost (C) and the benefit (B) of cooperation in adopting sustainable management practices. Companies only derive benefit if other companies in their group cooperate, and companies always pay the cost of cooperating with others in adopting sustainable management practices because they need to implement them in their daily operations. The probability of one company that has adopted sustainable management meeting another company in the same situation (Pa) and the probability of one company that has adopted sustainable management in their operations meeting another company that has not adopted it yet (Pb), as showed in Table 1.
\nParameter | \nMinimum | \nMaximum | \n
---|---|---|
Groups of companies in the supply chain (NG) | \n10 | \n50 | \n
Companies in each group (NC) | \n10 | \n20 | \n
Cost (C) of cooperation in adopting sustainable management practices | \n1 | \n5 | \n
Benefit (B) of cooperation in adopting sustainable management practices | \n1 | \n10 | \n
Probability of one company that has adopted sustainable management meeting another company in the same situation (Pa) | \n50% | \n100% | \n
Probability of one company that has adopted sustainable management in their operations meeting another company that has not yet adopted it (Pb) | \n50% | \n100% | \n
Parameters for simulating the interaction among companies in adopting sustainable management practices
We ran the computer simulation in NetLogo software in 50 steps considering the variation of the six parameters, NG, NC, C, B, PA and PB listed in Table 1, to find out under what conditions cooperation in adopting sustainable management practices emerges in a supply chain, given that companies are self-interested. We proposed four simulation scenarios so we ran each one in 50 time steps. In this sense, the simulation run finishes when the 50 time steps are achieved. The computer simulation results are presented and analyzed in Sections 4.2 and 4.3.
\nIn the first simulation scenario, we fixed the B, C, Pa and Pb parameters in their minimum values while the NG and NC parameters varied between their minimum and maximum values. The evolution of dynamics in the timeline is showed in Figures 4 and 5.
\nSnapshot of the computer simulation, showing the representative dynamics of the interactions among the companies in a supply chain in respect of adopting sustainable management practices updated on a 20 X 20 lattice for NG and NC minimum (100 companies).
In Figure 4, we observe that the effect of 10 groups and 10 companies in each group on the interactions between the companies that have adopted sustainable practices and those that have not yet adopted them is that in the long term all the companies decide not to adopt sustainable practices. In this case, the cost and benefit of cooperation in adopting sustainable practices remains unchanged, at its minimum value.
\nSnapshot of the computer simulation, showing the representative dynamics of interactions among companies in supply chain in respect of adopting sustainable management practices updated on a 20 X 20 lattice for NG and NC minimum (100 companies).
In Figure 5, we observe that the effect of 50 groups and 20 companies in each group on the interactions between the companies that have adopted sustainable practices and those that have not yet adopted them is that in the long term all the companies decide not to adopt sustainable practices, as in the case showed in Figure 4. In this case, the cost and benefit of cooperation in adopting sustainable practices remain unchanged, at its minimum value.
\nIn the second simulation scenario, we fixed the B, C, NG and NC parameters at their minimum value while the Pa and Pb parameters were varied to its maximum value. The evolution of dynamics in the timeline is showed in Figures 6 and 7.
\nSnapshot of the computer simulation, showing the representative dynamics of the interactions among the companies in a supply chain in respect of adopting sustainable management practices updating on a 20 X 20 lattice for Pa maximum and Pb minimum (100 companies).
In Figure 6, we observe that the effect of the probabilities of one company that has adopted sustainable management meeting another company in the same situation (50%) or meeting another that has not adopted it (50%) on the interactions between all the companies is that, in the long term, all the companies decide not to adopt sustainable practices. In this case, the cost and benefit of cooperation in adopting sustainable practices as well as the size of groups of companies remain unchanged, at its minimum value.
\nSnapshot of the computer simulation, showing the representative dynamics of interactions among companies in supply chain in respect of adopting sustainable management practices updating on a 20 X 20 lattice for Pa minimum and Pb maximum (100 companies).
In Figure 7, we observe that the effect of the probabilities of one company that has adopted sustainable management meeting another company in the same situation (100%) or meeting another that has not adopted it (100%) on the interactions between all the companies is that in the long term all the companies decide not to adopt sustainable practices. In this case, the cost and benefit of cooperation in adopting sustainable practices as well as the size of groups of companies remain unchanged, at its minimum value as showed in Figure 6.
\nIn the third simulation scenario, we fixed the C, NG, NC, Pa and Pb parameters at their minimum values while the B parameter was set up to its maximum value. The evolution of dynamics in the timeline is showed in Figure 8.
\nSnapshot of the computer simulation, showing the representative dynamics of interactions among companies in supply chain in respect of adopting sustainable management practices updating on a 20 X 20 lattice for B maximum value and C, NG, NC, Pa and Pb parameters in its minimum value (100 companies).
In Figure 8, we observe that the effect of the benefits of adopting sustainable practices at their maximum value on the interactions between all the companies is that in the short term all the companies decide to adopt sustainable practices but in the long term they decide to cancel the adoption of the said practices. In this case, the cost, the size of groups, and the probabilities of interacting with other companies in the same situation remain unchanged, at their minimum value.
\nFinally, in the fourth simulation scenario we fixed the C, NG, NC and Pb parameters at their minimum value, while the B and Pa parameters were set up at their maximum value. The evolution of dynamics in the timeline is showed in Figure 9.
\nSnapshot of the computer simulation, showing the representative dynamics of interactions among companies in supply chain in respect of adopting sustainable management practices updating on a 20 X 20 lattice for B and Pa parameters in its maximum value while C, NG, NC and Pb parameters in its minimum value (100 companies).
In Figure 9, we observe that the effect in adopting sustainable practices at its maximum value and the probability of companies that have adopted sustainable practices meeting another company in the same situation at 100% on the interactions between all the companies is that in the short term, in fact immediately they start to interact, all the companies decide to adopt sustainable practices. In the long term, they do not change their decision. In this case, the cost, the size of groups and the probabilities of interacting with other companies in the same situation remain unchanged, at their minimum value.
\nFrom the simulation results, we observe that the proportion of cooperative companies of each population adopting sustainable management practices evolves positively in time as companies imitate the adoption of sustainable management practices in their own population and in the populations of their partners just when the benefits are maximum, as showed in the fourth scenario. In this sense, two preconditions are necessary for companies in a supply chain to cooperate in adopting sustainable management practices, as follows:
Interaction with companies that have adopted these kinds of practices in their operations and management.
Explicit knowledge of the benefits of operating in a sustainable way.
For the first point, companies are responsible for looking for partners that have a good reputation for practicing sustainable management in a supply chain, technology can help them. This precondition operates in the bottom-up decision-making approach. For the second point, associations, institutions as well as governments need to enhance the benefits of adopting sustainable management practices in order to be attractive for companies. This precondition operates in the top-down decision-making approach. It is clear that companies will not adopt sustainable practices by just interacting with companies that operate in a sustainable way, by incrementing the size of a group of partners or by dismissing the cost of sustainable operation, as showed in the first, second and third scenarios. Based on our results, in the next section we give some proposals for the sustainable, adaptive and cooperative management of supply chains.
\nThe sustainable management of a supply chain requires companies that are able to adapt to new interactions with others companies, maximizing the benefits of managing the material, information and capital flows in a sustainable way. Here, we propose some actions that, from our simulation results, we consider could enhance the sustainable management of supply chains:
Improving resilience in SSCM.
Building a reputation among companies in promoting sustainable management practices.
Balancing top-down and bottom-up decision making in supply chains.
Using information systems (ISs) to compensate best sustainable management practices.
Giving people cooperative and adaptive management skills.
Stakeholders and companies must increase their ability to learn to adapt in a sustainable development context. The cooperation and participation through the active engagement of all relevant stakeholders of SC are considered fundamental to building the relationships needed to improve socio-ecological-economic resilience through interactions that maximize the benefit for companies in terms of sustainability. On the one hand, if a SSCM is controlled from the top-down, then it will become vulnerable and, in consequence, the concentration of power in companies will make them easily corruptible. On the other hand, as our simulation results show, cooperation in the sustainable management of material, information and capital flows emerges from the bottom-up as a result of self-organization among companies that perceive the benefits of interacting with companies that have adopted sustainability practices. In this case, the structure of the SSCM is adjusted by the emergent interrelations enabling the SSCM to face an unpredictable environment.
\nThe companies in a SC need to build its reputation of their own business based on multiple sustainability criteria in the three aspects of sustainable development, i.e., economic, environmental and social aspects. Green innovations [39] as well as reputation can advantage the formation of new interactions between companies that have adopted sustainable management practices in their business and other companies that have not yet adopted such practices. On the one hand, based on our simulation results, we observed that companies only imitate the adoption of sustainable management practices in their own population and in the populations of their partners when the benefits are maximum and when they interact with others that have adopted these practices. On the other hand, indirect reciprocity [40]
As discussed in Section 3, the top-down approach needs to be complemented by the bottom-up approach in order to enhance the resilience in a SSCM for increasing the collective capacity of companies and stakeholders to learn and adapt in a sustainable development context.
\nAs was demonstrated in our simulation results, the cooperation of companies in the adoption of sustainable management practices is a function of the benefits perceived by them. In this direction, a system of benefits supported by the IS needs to be developed.
\nIt is important for administrators in the supply chain to understand the importance of sustainability, and how objectives can be brought into line to achieve these goals by using information technologies (ITs). They also need to know the difference between using ISs and ITs and how they can be adapted to achieve sustainability.
\nUsing what is known as green IT and green IS has these main differences:
An IT transmits, processes, or stores information.
An IS is an integrated and cooperating set of software using ITs to support individual, group, organizational, or societal goals.
Green IT is mainly focused on energy efficiency and equipment utilization. It addresses issues such as
Designing energy efficient chips and disk drives.
Replacing personal computers with energy efficient thin clients.
Use of virtualization software to run multiple operating systems on one server.
Reducing the energy consumption of data centers.
Using renewable energy sources to power data centers.
Reducing electronic waste from obsolete computing equipment.
Promoting telecommuting and remote computer administration to reduce transportation emissions.
According to Watson et al [42], the use of IS refers to
Reduce transportation costs with a fleet management system and dynamic routing of vehicles to avoid traffic congestion and minimize energy consumption.
Support team work and meetings when employees are distributed throughout the world, and thus reduce the impact of air travel
Track environmental information (such as toxicity, energy used, water used, etc.) about the creation of products, their components, and the fulfillment of services.
Monitor a firm\'s operational emissions and waste products to manage them more effectively.
Provides information to consumers so that they can make green choices more conveniently and effectively.
Green IS has a greater potential than green IT because it tackles a much larger problem. It can make entire systems more sustainable compared to reducing the energy required to operate ITs.
\nOther authors give a definition of IS and again they focus the importance of it. For example, in the Melville’s [43] study, it can be seen that: We thus define IS for environmental sustainability as IS-enabled organizational practices and processes that improve environmental and economic performance. We launch a new discourse on IS innovation for environmental sustainability by drawing upon the uniqueness of IS scholarship, which incorporates both behavioral science (search for truth) and design science (search for utility in designed artifacts) (Hevner et al. [44]). Finally, it is important to mention that IS is used in different ways depending on how the problem is framed. For example, if the problem is framed in economic terms, then IS may be viewed as a means by which energy productivity (quotient of output and amount of energy used) is increased. If the problem is viewed in ecological terms, then IS might be framed in terms of how online social networking reduces greenhouse gas emissions or how data centers increase greenhouse gas emissions. Another implication of complexity is the need for research methodologies that account for uncertainty and feedback, such as system dynamics by Sterman [45]. Altogether, the environmental sustainability research context is distinctive in scope, complexity, and urgency, requiring IS researchers to extend epistemological horizons [43].
\nProblems involving ISs and environmental sustainability involve human behavior and the broader social, organizational, and environmental contexts. Review of the IS and operation literature and examination of other business literature reveal three classes of sustainability phenomena: (1) how cognitive states about sustainability (beliefs, opportunities, etc.) emerge; (2) actions of organizations and individuals regarding sustainability practices and processes; and (3) environmental and financial performance outcomes. Taken together, the three classes of phenomena comprise micro and macro issues. Coleman’s [46] model of micro–macro relations provides the foundation for a conceptual framework, developed by Melville [43]. This framework called Belief–Action–Outcome (BAO) is summarized in Figure 10, and is explained in Table 2.
\nBAO framework for IS research and sustainability. Source: Ref.
\n | Belief formations | \nAction formation | \nOutcome | \n
---|---|---|---|
Description | \nHow psychic states (beliefs, desires, opportunities, etc.) about the natural environment are formed. | \nHow psychic states about the natural environment translate to actions. | \nHow sustainability actions affect social and organizational systems. How macro states affect behavior of society and organizations. | \n
Analysis level | \nMacro–micro | \nMicro–micro | \nMicro–macro (links 3 and 3’). Macro–macro ( How societal structure affects the behavior of social systems- link 4, how organizational structure affects the behavior of organzation-link 4’, how societal structure affects the behavior of organzation – link 5, and how organziational structure affects the behavior of social systems- link 5’). | \n
Constructs | \nlabor into distinct tasks and achieves coordination among them.‡ | \nadoption of an information system to improve organizational recycling or facilitate ride sharing. | \nBehavior of organization: Functioning of organization (includes performance). | \n
Example studies | \nIntegrated assessment using a designed information system changed individual beliefs about risks of climate change (Schlumpf et al. 2001). | \nBelief that reducing greenhouse gas emissions is critical to sustainability leads to adoption of social networking site encouraging energy conservation (Bottrill 2007). | \nIT investment in services and most manufacturing sectors increases electricity demand, with implications for greenhouse gas emissions (Cho et al. 2007). | \n
Example theories | \nContingency theory. Information processing theory. Media richness theory. | \nGame theory. Social cognitive theory. Technology acceptance model. Theory of planned behavior. Theory of reasoned action. | \nAbsorptive capacity. Dynamic capability theory. Production theory. Resource-based theory. Systems’ theory. | \n
Finally, the framework is consistent with the study of dynamic change processes as well as static cross-sectional analysis. For example, the adoption of an environmental management system (EMS) incorporating an online social network with the goal of engaging employees, improving environmental performance, and reducing costs might be viewed as an organizational change process involving belief formation (links 1, 1\'), sustainability actions (link 2), and environmental (link 3) and organizational performance (link 3\') outcomes. In contrast, a survey of organizational use of IS for sustainability and perceived environmental performance impacts might focus entirely on the macro–macro (link 5\') [43].
\nBeing able to visualize the sustainable supply chain as a complex adaptive system helps us to avoid making mistakes, such as over-simplifying the problem, and to treat it as a deterministic case. This approach allows us to consider all the seemingly insoluble problems as they arise. Thinking of a supply chain that is sustainable requires a lot of effort in terms of not only theory and a change of paradigms but also as a practical undertaking, because as Pagell and Shevchenko [49] point out we need to avoid having supply chains that are merely less unsustainable while, at the same time, not being truly sustainable. In this study, we proposed game-dynamical replicator equations for multiple populations to describe the evolution in time of the proportions
Granite is one of the most widespread types of a stone in architecture of northern Russian cities such as Saint Petersburg, Vyborg, Priozersk, Primorsk as well as Finish cities such as Helsinki, Lappeenranta, Kotka, Hamina, Kuopio (Finland). The destruction of granite in the northern cities is a result of interrelated physical, chemical, and biological processes [1]. Biogenic weathering is connected with the impact on the rock surface by microorganisms (bacteria, microfungi, and microalgae) as well as lichens and mosses. They form lithobiotic communities which have a noticeable effect on the state of the stone.
The study of this problem seems to be an interdisciplinary task, the solution of which is possible only on the basis of an integrated scientific approach and the use of modern research methods. Organisms of lithobiotic communities are able to actively influence on the mineral substance chemically and physically. They catalyze the destruction of rocks, contributing to the extraction of minerals from them. Microbial activity in combination with atmospheric pollution is one of the features of urban ecosystems that determine the rate of weathering of granite and other types of stone.
Most microorganisms on stone surface exist in the form of biofilms, which are composed of microbial cells and metabolites. Primary biofilms on granite most often consist of cyanobacteria and green algae. Aerophilic green algae are less resistant to adverse conditions than cyanobacteria and need more moisture. Green biofilm usually can be indicator of increased periodic or constant moisture of a stone [2, 3]. As organic matter accumulates on the surface of the stone, the participation of heterotrophic bacteria and fungi in the microbial community increases [4]. The close cooperation in microbial communities contributes to the successful growth and development of biofilms on stony substrates including granite. Biofilms can penetrate into cracks and pores. As a result, the absorption and retention of water in the rock mass increases, the intensity of diffusion and evaporation of water changes, and the processes of dissolution of the stone take place. The growth of biofilms causes pressure on the structural elements of the rock, acts on individual crystals and grains of stone.
Biochemical activity of microbial communities has a strong influence on mineral substance due to producing chemically active compounds such as polysaccharides, lipopolysaccharides, proteins, glycoproteins, lipids, glycolipids, fatty acids, and enzymes [5, 6]. Biomineral interaction leads to the leaching, formation of secondary minerals, primary soil formation, and thus, prepares the conditions for the further biological colonization of the stone.
The state of the stone surface has a particular importance for the biological colonization. A rough (uneven) surface is colonized much better than a smooth one [7]. Rough surface provides more opportunities for attachment and development of microorganisms (local humidity, microcracking, delay of various contaminants that serve as sources of nutrition for microorganisms, etc.). The bio-susceptibility of natural stone may vary depending on the duration and conditions of its exposure in the open air [8].
Thus, natural stone together with biofouling is a peculiar and very complex lithobiotic system, the development of which depends on the properties of the stone, the composition of biological community, and environmental conditions. The aim of our investigation is the analysis of granite biological colonization peculiarities in different environment as well as the estimation of granite changes under the biofouling influence.
The objects of research were selected in urban environment as well as in natural outcrops. Peter and Paul Fortress and monuments of the Museum Necropolises were studied in Saint Petersburg. Vyborg castle, fountain, tunnels, and outcrops in the Monrepos park were observed in Vyborg.
Granite outcrops were examined in the natural park Ristijärvi and on the Owl Mountain (Karelia). Also, four old quarries in the south part of Finland were examined: quarry I – (N 60° 34.207′ E 027° 43.835′); quarry II (N 60° 31.855′ E 027° 39.698′); quarry III (N 60° 32.101′ E 027° 39.823′); quarry IV (N 60° 44.413′ E 028° 00.564′). Granite mining at these quarries has long been discontinued. Currently, they undergo a process of natural overgrowth and are ideal model for studying of natural stone biofouling in low anthropogenic influence. More than 500 samples of destroyed rapakivi granite were investigated from 2013 to 2019. Rapakivi granite, as a rule, had its own unique image: large egg-shaped clusters of feldspar with a diameter of 3–6 cm, surrounded by an edge of greenish-gray plagioclase, placed in a fine-grained matrix of feldspars, quartz, and biotite.
Primary attention was paid to the structure of granite, the presence of cracks, holes, and other surface irregularities, which can serve as a shelter for microorganisms. Traditional cultural methods of mycology and microbiology have been applied for isolation and identification of microorganisms in biofilms on the surface of the granite [9]. Also, metagenomic analysis was used to determine a wide range of microorganisms in biofilms. The work was carried out in the resource center of Saint Petersburg State University “Development of cellular and molecular technologies.” Diversity of bacteria in biofilms on granite was carried out on the basis of the 16S rRNA genes analysis. Metagenomic study of fungal diversity in biofilms on granite was carried out with primers for site amplification ITS1-5.8S–ITS2. For the identification of cyanobacteria, direct microscopy of the samples was used. Cumulative cultures were also obtained in distilled water and in the Gromov 6 medium (period cultivation from week to month). Verification of species in accordance with the current nomenclature was carried out using the electronic database AlgaeBase (http://www.algaebase.org/).
For analysis of small organic molecules in several types of biofilms samples were extracted with 15 mL methanol vigorously mixed and centrifuged (10 min, 400 × g) at room temperature. The supernatant was transferred to a new vial and dryed by a rotary evaporator at 40°C.
The dried extracts were soluble in pyridine (30 μL) and BSTFA (N,O-bis—3-methyl-silyl-3-F-acetamide) (30 μL), incubated at 100°C for 15 minutes. The derivatized samples were analyzed by gas chromatography-mass spectrometry (GC-MS) by Agilent MSD 597, column HP-5MS, 30m × 0.25 mm. Chromatography was carried out with linear temperature programming from 70 to 320° at a speed of 4°C/min. Data were collected using Agilent ChemStation software. Mass spectrometric information was processed and interpreted using AMDIS program (http://www.amdis.net/index.html), standard NIST2005 library, and the library of standard compounds of BIN RAS. Quantitative interpretation of chromatograms was carried out with hydrocarbon using UniChrom program http://www.unichrom.com/unichrome.shtml.
Scanning electron microscopy was used in order to study peculiarities of localization of microorganisms in the surface layer of the stone and to characterize the relationship between lithobiotic organisms during colonization of the granite. Samples of the damaged stone (0.5–1.0 cm × 0.5–1.0 cm) were initially examined under binocular loupe. The criterion of selection for SEM analysis was the presence of structures of microorganisms on the stone surface as well as transformation of the granite surface. The material was examined (after fixation) under the scanning electron microscope in the range of magnification from 100× to 10000×. SEM studies were performed on electron microscope ABT-55 (Japan) and TM 3000 (HITACHI, Japan, 2010) with an attachment of an energy-dispersive microanalysis OXFORD in SPbU Resource Center “Microscopy and Microanalysis.”
The determination of elemental composition in fresh granite and various types of crusts was carried out using inductively coupled plasma (ICP MS, Agilent 7700) in the chemical laboratory of the All-Russian Geological Institute.
For the experiment on the dynamics of granite bioleaching, we took three types of samples from the surface of granite rapakivi from the Monrepos Park (Vyborg): surface layer of granite without biofilms, granite with black (lichens + fungi + cyanobacteria), and with gray (lichens + alga) biofilms. There are no local sources of pollutions in this area. Previously, the samples were powdered. Samples part (2 g) were diluted with 10 mL of bidistilled water each (in a ratio of 1:5) and mounted on a vibration panel for constant mixing of the sample and placed in a thermostat. The experiment lasted about a month. During this period, the temperature in the thermostat was 250C at normal pressure. Aliquots of the solution were taken from the upper part of the flasks in the following time intervals: 1, 3, 6 hours from the beginning of the experiment; then after 1, 3, 8, 11, 14, 18, 22, 28, 32 days. The solution was analyzed with the following parameters: pH, particle size (HORIBA LA-950 nano-sizer), and composition of elements (ICP-MS, Agilent 7700).
There are different types of granite destruction in St. Petersburg, Vyborg, and quarries in Finland: fissuring, granular disintegration, flaking, exfoliation, loss of color, crusts, biofilms of different composition, ovoid weathering, and macrofouling. Primary biological colonization usually connected with the formation of pigmented biofilms. The color and structure of biofilms usually depends on the dominance of certain groups of microorganisms (cyanobacteria, algae, microscopic fungi, and lichens).
Cyanobacteria typically prevailed in primary biofilms, especially in natural outcrops of granite. They formed the basis of lithobiotic communities in most of the studied habitats. Both mono-species and multi-species communities dominated by cyanobacteria were noted. The dominance of specific species often determined the morphology of the whole biofilm. So, on granite in quarry I, a rich biofilm with a dominance of
Lighting also plays an important role in the formation of biofilms on the granite surface. Thus, it was shown by comparative studies of the species composition of cyanobacteria in the Vyborg granite tunnels (with scarce of light) and open areas of granite near tunnels. Under natural lighting, six species of cyanobacteria were identified (for 1 sample):
Dark green to black biofilm is represented by the dominant species
Green algae predominate in the green biofilm; cyanobacteria
White deposits represent a mineral layer and contain neither cyanobacteria nor microalgae;
Cyanobacteria
Different types of biofilms and deposits in the Vyborg tunnels.
It is interesting to note that only five taxa were found in Monrepos Park (Vyborg). This is due to the super dominance of certain species of cyanobacteria in biofilms on the surface of granite (Figures 3–5).
Biofilm formed by the cyanobacteria
Biofilm formed by the cyanobacteria
Biofilm formed by the cyanobacteria from the genera
In total, 78 cyanobacteria taxa belonging to 5 orders, 18 families, and 29 genera were identified in the studied habitats. Quarry IV was the richest in the number of species (Figure 6).
The number of cyanobacterial taxa revealed on the granite in study areas.
The largest number of families (4), genera (8), and species (29) was noted for the order Synechococcales, followed by the order Chroococcales (25 species). The most diverse is the genus
Number of species in the richest genera.
The most common in the studied areas are
The presence of common taxa of cyanobacteria in biofilms on granites in the studied places.
Organotrophic bacteria were also characterized by significant diversity at various granite sites in the city of Vyborg, including Monrepos Park. Their number reached 107 cells per 1 gram of material. A similar picture was observed in St. Petersburg (on the granite monuments of Museum Necropolises). The results of metagenomic analysis show that two main bacterial phyla dominate in biofilms on the granite rapakivi in city environment: Bacteroidetes and Proteobacteria. The Bacteroidetes phyla were characterized by a large presence in black biofilms. A significant part of the lithobiotic communities in all samples of granite was represented by actinomycetes. Acidobacteria were also isolated in a significant amount from black biofilms (Table 1).
Bacteria phyla | Green biofilm | Black biofilm |
---|---|---|
0.2 | 6.6 | |
15.2 | 7.5 | |
13.3 | 40.5 | |
2.7 | 0.0 | |
48.7 | 33.4 |
The dominant groups of organotrophic bacteria in biofilms on granite at the monuments of the Museum Necropolises in St. Petersburg (share according to the results of metagenomic analysis).
In the heterotrophic block of biofilms on the surface of granite, a significant diversity of micromycetes was noted. In total, 64 species of micromycetes were isolated and identified (47 – St. Petersburg, 42 – granite outcrops, and 25 – common species). The domination of dark-colored fungi in biofilms on the granite surface was typical for the urban environment. It is interesting to note that some microfungi were superdominants in biofilms on granite in an urban environment (
Fungal microcolonies on the border of mica (Quarry I).
Fungal microcolonies and short hyphae located on the K-feldspar (Quarry I).
Fungal hyphae in the granite surface of Stasov monument (Museum Necropolis of Saint Petersburg).
As a result of biochemical studies, more than 200 different compounds were found in biofilms samples from granite quarries. Among them were identified: mono, di, and trisaccharides, aliphatic carboxylic acids, amino acids, sugar alcohols, phenolic compounds, diterpenes, sterols, ethanolamine, phosphate, glycerol-3-P, and urea. In samples of biofilms taken in an urban environment only about 100 different low molecular weight organic compounds were identified. In general, the biofilm samples from granite in urban environment had a significantly lower molecular diversity of metabolites than the samples taken in the quarries in Finland. At the same time, the quantitative content of some compounds, primarily sugar alcohols, was significantly higher in biofilms in the urban environment. Most likely, the revealed differences are associated with the species composition of microorganisms in biofilms.
The general patterns of the distribution of small organic molecules depending on the type of biofilms were similar for samples taken in the quarries and in Museum Necropolises (Saint Petersburg). In biofilms with a predominance of algae and cyanobacteria, the amount of mono- and disaccharides, amino acids and organic acids in free form was significantly higher in comparison with other types of biofilms. In samples dominated by fungi, the amount of free-form organic acids was lower and concentration of polyols was higher compared to algae.
Sugar alcohols and phenolic compounds predominated in the fouling formed by lichens. In samples of primary soil with a moss cover, the greatest variety of low molecular weight metabolites was observed; however, their quantitative content was lower than in other samples. The data obtained show the possibility of applying the metabolomic approach to the study of lithobiotic communities in different environment.
To assess the effect of biofouling on the behavior of chemical elements during granite weathering, samples of granite rapakivi were taken in natural outcrops (granite wall) in Monrepos Park (Vyborg neighborhood) where the influence of the urban environment on natural ecosystem is insignificant. This type of granite is commonly called Wiborgite. Wiborgite is a porphyritic, coarse-grained granite with a typical rapakivi texture composed of round 1–3 cm potassium feldspar ovoids with a plagioclase mantle. The color of this rock can be brown, brownish red, red or green. The essential minerals are potassium feldspar, quartz, plagioclase, biotite, and hornblende (Figure 12a and b, Table 2).
Thin skin of rapakivi granite: (a) plagioclase, microcline and biotite with pyrite and zircon; (b) quartz, plagioclase and microcline. XPL (a), PPL (b).
Mineral | Mass % | Mineral | Mass % | Mineral | Mass % |
---|---|---|---|---|---|
Quartz | 24–42% | Muscovite | 0–0.1% | Ilmenite | 0–0.5% |
K-feldspar | 28–42% | Allanite | 0–0.2% | Rutile | 0–0.1% |
Albite | 7–13.7% | Tourmaline | 0–0.2% | Apatite | 0–0.3% |
Andesine | 3–27% | Zircon | 0.1–0.2% | Pyrite | 0.0 |
Amphibole | 0.2–11% | Kaolinite | 0–0.1% | Calcite | 0.0 |
Chlorite | 0.0–0.2% | Thorite | 0-0.1% | Bastnasite | 0–0.9% |
Biotite | 2.9–7.5% | Magnetite | 0–0.1% | Fluorite | 0.2–1.9% |
Mineral composition of rapakivi granite (Wiborgite).
Three types of samples were taken for comparative study: fresh granite, crust without biofilm (3 mm) and crust with biofilm (3 mm). The results of the analysis are presented in Tables 3 and 4.
Samples | SiO | Al | Fe | K | Na | CaO | MgO | TiO | P | MnO | LOI |
---|---|---|---|---|---|---|---|---|---|---|---|
Granite (n = 7) | 70.78 | 13.51 | 3.38 | 5.57 | 3.39 | 2.32 | 0.22 | 0.33 | 0.07 | 0.04 | 0.38 |
Granite crust (n = 7) | 72.19 | 13.05 | 3.19 | 5.29 | 3.11 | 2.06 | 0.20 | 0.34 | 0.08 | 0.04 | 0.46 |
Granite crust with biofilm (n = 7) | 69.51 | 14.50 | 3.54 | 5.41 | 3.34 | 2.29 | 0.23 | 0.36 | 0.06 | 0.03 | 0.76 |
Content of pertogenic oxides in fresh granite and two types of crust (mass%).
Elements | Granite (n = 7) | Crust (n = 7) | Crust with biofilm (n = 7) | CC1 = crust /granite | CC2 = crust with biofilm/granite |
---|---|---|---|---|---|
Ba | 119 | 126 | 121 | 1.06 | 1.02 |
Sr | 12.8 | 8.1 | 15.8 | 0.63 | 1.18 |
Li | 38.3 | 34 | 40.2 | 0.89 | 1.05 |
Sc | 4.88 | 4.36 | 5.1 | 0.89 | 1.05 |
U | 7.37 | 2.37 | 12.4 | 0.32 | 1.68 |
Se | 3.19 | 1.89 | 6.45 | 0.59 | 2.02 |
Mo | 1.66 | 0.22 | 2.83 | 0.13 | 1.70 |
Cd | 0.24 | 0.11 | 0.25 | 0.46 | 1.08 |
Sb | 0.09 | 0.05 | 0.09 | 0.56 | 1.00 |
Ni | 12.6 | 14.6 | 15.5 | 1.16 | 1.23 |
Co | 3.3 | 3.09 | 3.79 | 0.94 | 1.15 |
Cu | 6.28 | 6.1 | 7.98 | 0.97 | 1.27 |
Zn | 65.3 | 72.2 | 79.1 | 1.11 | 1.21 |
As | 11.7 | 10.3 | 11.1 | 0.88 | 0.95 |
Content of trace elements in fresh granite and two types of crust (ppm) and coefficient concentration (CC).
It is shown that the content of almost all petrogenic oxides (except SiO2), decreases in the crust without a biofilm (Table 3). This fact can be explained by the destruction of the granite structure and leaching of the most mobile chemical elements and particles of minerals under the influence of rain and wind. The crust is relatively enriched with the most stable mineral quartz. The organic matter content LOI (loss on ignition) increases slightly in comparison with fresh granite. In the crust with biofilm the situation is different. Particles of weathered granite can be accumulated in a biofilm. This probably explains the fact that the content of almost all basic elements in the crust with biofilm is close to the composition of unaltered granite. The organic matter content in the crust with biofilm is naturally the highest in comparison with other variants.
A similar situation is observed in the behavior of trace elements. It is shown using the concentration coefficient (CC) calculated as the ratio of the content of the element in the crust to its content in not weathered granite. In the weathered crust, in comparison with fresh granite, the removal of most chemical elements is observed (Table 4). The concentration coefficient in this case is less than 1. At the same time, trace elements (Se, Mo, U, Cu, Ni, Zn, and Sr) are accumulated in the crust with the biofilm (concentration coefficient is more than 1).
It is well known that the main environment of migration of chemical elements in the nature is water. Migration of elements in the liquid phase occurs in the form of ions, molecules, and colloidal particles. The chemical composition of water in the hypergenesis zone is formed primarily due to the dissolution of solid phases interacting with water. Granite biofouling may affect this process. For the experiment on the dynamics of granite bioleaching, we took three types of samples from the surface of granite rapakivi from the Monrepos Park (Vyborg): surface layer of granite without biofilms, with black (lichens + fungi + cyanobacteria), and with gray (lichens + alga) biofilms.
As a result, it was shown that the particle size changes over time that reflects the periods of their dissolution and coagulation. On the first day no changes are observed. Further until the 22nd day changes in particles size are observed and then alignment occurs (about 380 nm in size). The curves for the studied variants differ markedly. Largest particle size during the experiment is observed for granite with black biofilm a compared to granite with gray biofilm (Figure 13).
Particles size changes in time for granite, granite with black, and gray biofilms (nm). h – hours; d – days.
A comparison of the graphs of pH changes (Figure 14) shows that at the beginning of the experiment, the pH of solutions for the granite without biofilms and granite with biofilms is different. Amplitude of the pH values changes varies from 6.3 to 7.6 and does not connect with the changes in particles size. Correlation analysis confirmed the absence of any linear dependence of the change in the size of nanoparticle in solution on the pH of the solutions.
pH values changes of solutions (granite, granite with black, and gray biofilms). h – hours; d – days.
The results show the periodic variation of the acid-alkaline properties of the solutions. As a whole, the variant with the black biofilm are characterized by a more alkaline medium; the variant with gray biofilm has a relatively more acidic medium.
In selected aliquots of solutions, the content of chemical elements was determined by the ICP MS method. The highest concentrations of elements in the solutions were observed for K, Na, Mg, and Ca (an example for calcium is shown in Figure 15). This indicates a fairly rapid leaching of these elements from the minerals of the rock, where they are in water-soluble form. Lower contents are typical for a group of elements: Al, Fe, Ba, and Li. Hundreds of mg per liter were found for: Mn, Rb, Sr, and Cs. Thousands of mg were found for the following elements: Sc, V, Ni, Pb, Cu, Zn, Mo, U, Th, Y, La, and Ce. An increased concentration of various groups of elements is observed on the 8th day (K, Na, Ni, As, Cd, and Mo) that can be associated with an increase in the pH of the solution.
Dynamics of the calcium content changes in solutions (mg/L) during the dissolution of granite, granite with gray and black biofilms. h – hours; d – days.
The experimental results demonstrate the different behavior of chemical elements in the absence and presence of biofilms on granite. There is also a different behavior of chemical elements in variants with different types of biofilms. The dissolution of granite with a black biofilm is the least intense, which is especially noticeable on the example of Na, Ca, and Mo. The content of these elements in granite with black biofilm practically does not change in solutions over time. Since fungi dominate in the black biofilm, it can be assumed that the migration of elements into the solution may be limited due to the immobilization of elements by fungal biomass. Due to metabolic processes (the release of organic acids and the binding of metals by specific proteins) as well as the physicochemical properties of the cell wall, fungi can efficiently bind metals and significantly reduce their mobility in solution [6].
Biogenic weathering of granite is connected with the impact on the rock surface by microorganisms of lithobiotic communities (bacteria, microfungi, microalgae, lichens, and mosses). The biological colonization of granite is a multifactorial process. It depends on the composition of the microbiota, the state of the stone, as well as external conditions. The ecological aspect of the problem is determined by the difference between granite biofouling in the anthropogenic (urban) and natural environment. The biofilms on granite are characterized by a wide diversity of cyanobacteria, micromycetes, and organotrophic bacteria. The species composition often determines the features of the appearance of a biofilm, the features of its development on granite, as well as the biochemical composition and degree of impact on granite. Behavior of chemical elements during the bioweathering of granite depends on the type of biofilm in which some elements can be accumulated. This problem seems as an interdisciplinary task and requires the collaboration of biologists and geologists.
The work was carried out in the resource centers of Saint Petersburg State University: “Chemical Analysis and Materials Research Center,” “Development of cellular and molecular technologies,” and “Microscopy and Microanalysis.”
Researches are supported by the European Union, Russia, and Finland (KS 1528 project).
The authors declare no conflict of interest.
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Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356823",title:"MSc.",name:"Seonghee",middleName:null,surname:"Min",slug:"seonghee-min",fullName:"Seonghee Min",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Daegu University",country:{name:"Korea, South"}}},{id:"353307",title:"Prof.",name:"Yoosoo",middleName:null,surname:"Oh",slug:"yoosoo-oh",fullName:"Yoosoo Oh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:"Yoosoo Oh received his Bachelor's degree in the Department of Electronics and Engineering from Kyungpook National University in 2002. He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. His research interests include Activity Fusion & Reasoning, Machine Learning, Context-aware Middleware, Human-Computer Interaction, etc.",institutionString:null,institution:{name:"Daegu Gyeongbuk Institute of Science and Technology",country:{name:"Korea, South"}}},{id:"262719",title:"Dr.",name:"Esma",middleName:null,surname:"Ergüner Özkoç",slug:"esma-erguner-ozkoc",fullName:"Esma Ergüner Özkoç",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Başkent University",country:{name:"Turkey"}}},{id:"419199",title:"Dr.",name:"Qun",middleName:null,surname:"Yang",slug:"qun-yang",fullName:"Qun Yang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Auckland",country:{name:"New Zealand"}}},{id:"351158",title:"Prof.",name:"David W.",middleName:null,surname:"Anderson",slug:"david-w.-anderson",fullName:"David W. Anderson",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Calgary",country:{name:"Canada"}}},{id:"351159",title:"BSc.",name:"Kalum J.",middleName:null,surname:"Ost",slug:"kalum-j.-ost",fullName:"Kalum J. Ost",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Calgary",country:{name:"Canada"}}},{id:"325029",title:"Dr.",name:"Prem Chand",middleName:null,surname:"Jain",slug:"prem-chand-jain",fullName:"Prem Chand Jain",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Shiv Nadar University",country:{name:"India"}}},{id:"357275",title:"Dr.",name:"Thomas",middleName:null,surname:"Mih",slug:"thomas-mih",fullName:"Thomas Mih",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Buea",country:{name:"Cameroon"}}},{id:"305305",title:"Dr.",name:"Arturo Yosimar",middleName:null,surname:"Jaen-Cuellar",slug:"arturo-yosimar-jaen-cuellar",fullName:"Arturo Yosimar Jaen-Cuellar",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Autonomous University of Queretaro",country:{name:"Mexico"}}},{id:"305315",title:"Dr.",name:"David Alejandro",middleName:null,surname:"Elvira-Ortiz",slug:"david-alejandro-elvira-ortiz",fullName:"David Alejandro Elvira-Ortiz",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Autonomous University of Queretaro",country:{name:"Mexico"}}},{id:"344374",title:"Dr.",name:"Manuel",middleName:null,surname:"Toledano-Ayala",slug:"manuel-toledano-ayala",fullName:"Manuel Toledano-Ayala",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Autonomous University of Queretaro",country:{name:"Mexico"}}}]}},subseries:{item:{id:"27",type:"subseries",title:"Multi-Agent Systems",keywords:"Collaborative Intelligence, Learning, Distributed Control System, Swarm Robotics, Decision Science, Software Engineering",scope:"Multi-agent systems are recognised as a state of the art field in Artificial Intelligence studies, which is popular due to the usefulness in facilitation capabilities to handle real-world problem-solving in a distributed fashion. The area covers many techniques that offer solutions to emerging problems in robotics and enterprise-level software systems. Collaborative intelligence is highly and effectively achieved with multi-agent systems. Areas of application include swarms of robots, flocks of UAVs, collaborative software management. Given the level of technological enhancements, the popularity of machine learning in use has opened a new chapter in multi-agent studies alongside the practical challenges and long-lasting collaboration issues in the field. It has increased the urgency and the need for further studies in this field. We welcome chapters presenting research on the many applications of multi-agent studies including, but not limited to, the following key areas: machine learning for multi-agent systems; modeling swarms robots and flocks of UAVs with multi-agent systems; decision science and multi-agent systems; software engineering for and with multi-agent systems; tools and technologies of multi-agent systems.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",hasOnlineFirst:!1,hasPublishedBooks:!1,annualVolume:11423,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. 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Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',annualVolume:11404,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",institutionString:null,institution:{name:"Federal University of Uberlândia",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"49517",title:"Prof.",name:"Hitoshi",middleName:null,surname:"Tsunashima",fullName:"Hitoshi Tsunashima",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTP4QAO/Profile_Picture_1625819726528",institutionString:null,institution:{name:"Nihon University",institutionURL:null,country:{name:"Japan"}}},{id:"425354",title:"Dr.",name:"Marcus",middleName:"Fraga",surname:"Vieira",fullName:"Marcus Vieira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003BJSgIQAX/Profile_Picture_1627904687309",institutionString:null,institution:{name:"Universidade Federal de Goiás",institutionURL:null,country:{name:"Brazil"}}},{id:"196746",title:"Dr.",name:"Ramana",middleName:null,surname:"Vinjamuri",fullName:"Ramana Vinjamuri",profilePictureURL:"https://mts.intechopen.com/storage/users/196746/images/system/196746.jpeg",institutionString:"University of Maryland, Baltimore County",institution:{name:"University of Maryland, Baltimore County",institutionURL:null,country:{name:"United States of America"}}}]},{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",keywords:"Biotechnology, Biosensors, Biomaterials, Tissue Engineering",scope:"The Biotechnology - Biosensors, Biomaterials and Tissue Engineering topic within the Biomedical Engineering Series aims to rapidly publish contributions on all aspects of biotechnology, biosensors, biomaterial and tissue engineering. We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics can include but are not limited to: Biotechnology such as biotechnological products and process engineering; Biotechnologically relevant enzymes and proteins; Bioenergy and biofuels; Applied genetics and molecular biotechnology; Genomics, transcriptomics, proteomics; Applied microbial and cell physiology; Environmental biotechnology; Methods and protocols. Moreover, topics in biosensor technology, like sensors that incorporate enzymes, antibodies, nucleic acids, whole cells, tissues and organelles, and other biological or biologically inspired components will be considered, and topics exploring transducers, including those based on electrochemical and optical piezoelectric, thermal, magnetic, and micromechanical elements. Chapters exploring biomaterial approaches such as polymer synthesis and characterization, drug and gene vector design, biocompatibility, immunology and toxicology, and self-assembly at the nanoscale, are welcome. Finally, the tissue engineering subcategory will support topics such as the fundamentals of stem cells and progenitor cells and their proliferation, differentiation, bioreactors for three-dimensional culture and studies of phenotypic changes, stem and progenitor cells, both short and long term, ex vivo and in vivo implantation both in preclinical models and also in clinical trials.",annualVolume:11405,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",editor:{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",institutionString:null,institution:{name:"Autonomous University of Baja California",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"35539",title:"Dr.",name:"Cecilia",middleName:null,surname:"Cristea",fullName:"Cecilia Cristea",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYQ65QAG/Profile_Picture_1621007741527",institutionString:null,institution:{name:"Iuliu Hațieganu University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"40735",title:"Dr.",name:"Gil",middleName:"Alberto Batista",surname:"Gonçalves",fullName:"Gil Gonçalves",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYRLGQA4/Profile_Picture_1628492612759",institutionString:null,institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}},{id:"211725",title:"Associate Prof.",name:"Johann F.",middleName:null,surname:"Osma",fullName:"Johann F. 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Valarmathi",profilePictureURL:"https://mts.intechopen.com/storage/users/69697/images/system/69697.jpg",institutionString:"Religen Inc. | A Life Science Company, United States of America",institution:null},{id:"205081",title:"Dr.",name:"Marco",middleName:"Vinícius",surname:"Chaud",fullName:"Marco Chaud",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSDGeQAO/Profile_Picture_1622624307737",institutionString:null,institution:{name:"Universidade de Sorocaba",institutionURL:null,country:{name:"Brazil"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"profile.detail",path:"/profiles/203962",hash:"",query:{},params:{id:"203962"},fullPath:"/profiles/203962",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()