\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"9894",leadTitle:null,fullTitle:"Advanced Ceramic Materials",title:"Advanced Ceramic Materials",subtitle:null,reviewType:"peer-reviewed",abstract:"This book examines exciting advancements in the field of ceramics, including nanotechnology, clean energy, and tribology as well as fundamental concepts like defects and structure. It is a comprehensive discussion on how today’s ceramics are processed and used in many of today’s critical technologies. It discusses current techniques for synthesizing durable and cost-effective ceramic components with biocompatibility, complexity, and high precision. This book is a comprehensive reference for researchers, engineers, dental clinicians, biologists, academics, and students interested in ceramics.",isbn:"978-1-83881-212-6",printIsbn:"978-1-83881-204-1",pdfIsbn:"978-1-83881-213-3",doi:"10.5772/intechopen.87703",price:119,priceEur:129,priceUsd:155,slug:"advanced-ceramic-materials",numberOfPages:296,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"9adbe58d10d5ca2b61e9ff2b6b138f40",bookSignature:"Mohsen Mhadhbi",publishedDate:"May 5th 2021",coverURL:"https://cdn.intechopen.com/books/images_new/9894.jpg",numberOfDownloads:5947,numberOfWosCitations:0,numberOfCrossrefCitations:8,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:10,numberOfDimensionsCitationsByBook:0,hasAltmetrics:0,numberOfTotalCitations:18,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 29th 2020",dateEndSecondStepPublish:"August 5th 2020",dateEndThirdStepPublish:"October 4th 2020",dateEndFourthStepPublish:"December 23rd 2020",dateEndFifthStepPublish:"February 21st 2021",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"228366",title:"Dr.",name:"Mohsen",middleName:null,surname:"Mhadhbi",slug:"mohsen-mhadhbi",fullName:"Mohsen Mhadhbi",profilePictureURL:"https://mts.intechopen.com/storage/users/228366/images/system/228366.png",biography:"Dr. Mohsen Mhadhbi obtained his Ph.D. degree from the Faculty of Sciences of Sfax, Tunisia. He is currently Assistant Professor of Chemistry in National Institute of Research and Physical-chemical Analysis, Tunisia. His research interests include material engineering, modelling, powder technology, and nanomaterials for mechanical and biomedical applications. Her published works in national and international impacted journals and books. He is a teacher in Chemistry. Hence, he supervised several researchers in materials science and nanometerials. He is a member of various scientific journals and associations and has been serving as an editorial board member of repute.",institutionString:"Tunis El Manar University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"3",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"Tunis El Manar University",institutionURL:null,country:{name:"Tunisia"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"155",title:"Ceramics",slug:"ceramics"}],chapters:[{id:"75967",title:"Recent Advances in Ceramic Materials for Dentistry",doi:"10.5772/intechopen.96890",slug:"recent-advances-in-ceramic-materials-for-dentistry",totalDownloads:728,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Dental ceramics constitute a heterogeneous group of materials with desirable optical and mechanical proprieties combined with chemical stability. They are inorganic non-metallic materials used in several applications. These materials are biocompatible to tissue, highly esthetic, with satisfying resistance to tensile and shear stress. Over the past years, several developments in new ceramic materials in dental restoration were achieved, including processing techniques and high mechanical properties. Thus, concepts on the structure and strengthening mechanisms of dental ceramic materials are also discussed. The dental practitioner requires best knowledge concerning indications, limitations, and correct use of started materials. The purpose of this book chapter is to overview advances in new ceramic materials and processes, which are used in dentistry. The properties of these materials are also discussed.",signatures:"Mohsen Mhadhbi, Faïçal Khlissa and Chaker Bouzidi",downloadPdfUrl:"/chapter/pdf-download/75967",previewPdfUrl:"/chapter/pdf-preview/75967",authors:[{id:"228366",title:"Dr.",name:"Mohsen",surname:"Mhadhbi",slug:"mohsen-mhadhbi",fullName:"Mohsen Mhadhbi"},{id:"324375",title:"Dr.",name:"Faïçal",surname:"Khlissa",slug:"faical-khlissa",fullName:"Faïçal Khlissa"},{id:"324535",title:"Dr.",name:"Chaker",surname:"Bouzidi",slug:"chaker-bouzidi",fullName:"Chaker Bouzidi"}],corrections:null},{id:"74215",title:"Ferroelectric Glass-Ceramic Systems for Energy Storage Applications",doi:"10.5772/intechopen.93855",slug:"ferroelectric-glass-ceramic-systems-for-energy-storage-applications",totalDownloads:501,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"An overview of ferroelectric glass ceramics, some literature review and some of the important previous studies were focused in this chapter. Nanocrystalline glass–ceramics containing ferroelectric perovskite-structured phases have been included. All modified glasses having ferroelectric ceramics which prepared by different methods are discussed, that producing nanocrystalline glass–ceramics. Then particular tested to their use as dielectric energy storage materials. These materials exhibit promising dielectric properties, indicating good potential for high energy density capacitors as a result of their nanocrystalline microstructures. The results of the analysis are summarised in this chapter to provide an overview of the energy storage characteristics of the different materials produced during the study.",signatures:"Abdulkarim Ziedan Khalf",downloadPdfUrl:"/chapter/pdf-download/74215",previewPdfUrl:"/chapter/pdf-preview/74215",authors:[{id:"323331",title:"Dr.",name:"Abdulkarim",surname:"Khalf",slug:"abdulkarim-khalf",fullName:"Abdulkarim Khalf"}],corrections:null},{id:"74064",title:"From the Laser Plume to the Laser Ceramics",doi:"10.5772/intechopen.94464",slug:"from-the-laser-plume-to-the-laser-ceramics",totalDownloads:574,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The main stages of preparation of ceramic active elements of solid-state lasers are considered. The physical principles of laser synthesis of nanopowders are described. The features and processes taking place during compaction and compacts sintering are specified. Also we report on the investigation of characteristics of highly transparent ceramics on the basis of nanopowders synthesized in laser plume. It is shown that this approach enables to increase the “orange peel” formation threshold in the ceramics with strongly disordered crystalline structure. It opens the road to relatively simple synthesis technology from oxide materials and application of this ceramics as the gain media with oscillation efficiency higher than 50% and also leads to simplification of the synthesis technology of magnetoactive ceramics and to production of highly transparent YAG samples without the use of sintering heterovalent additives.",signatures:"Vladimir Osipov, Vyacheslav Platonov, Vladislav Shitov and Vladimir Solomonov",downloadPdfUrl:"/chapter/pdf-download/74064",previewPdfUrl:"/chapter/pdf-preview/74064",authors:[{id:"97328",title:"Prof.",name:"Vladimir",surname:"Solomonov",slug:"vladimir-solomonov",fullName:"Vladimir Solomonov"},{id:"328400",title:"Prof.",name:"Vladimir",surname:"Osipov",slug:"vladimir-osipov",fullName:"Vladimir Osipov"},{id:"329374",title:"Dr.",name:"Vecheslav",surname:"Platonov",slug:"vecheslav-platonov",fullName:"Vecheslav Platonov"},{id:"329375",title:"MSc.",name:"Vladislav",surname:"Shitov",slug:"vladislav-shitov",fullName:"Vladislav Shitov"}],corrections:null},{id:"73127",title:"The Investigation on the Fabrication and Characterization of the Multicomponent Ceramics Based on PZT and the Relaxor PZN-PMnN Ferroelectric Materials",doi:"10.5772/intechopen.93534",slug:"the-investigation-on-the-fabrication-and-characterization-of-the-multicomponent-ceramics-based-on-pz",totalDownloads:466,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:0,abstract:"This chapter presents the investigation of fabrication and the physical properties of the Pb(Zr1−xTix)O3-Pb(Zn1/3Nb2/3)O3-Pb(Mn1/3Nb2/3)O3 multicomponent ceramics. The multicomponent yPb(Zr1−xTix)O3-(0.925 − y)Pb(Zn1/3Nb2/3)O3-0.075Pb(Mn1/3Nb2/3)O3 (PZT-PZN-PMnN) ceramics were synthesized by conventional solid-state reaction method (MO) combined with the B-site oxide mixing technique (BO). Research results show that the electrical properties of PZT-PZN-PMnN ceramics are optimal at a PZT content of 0.8 mol and Zr/Ti ratio of 48/52. At these contents, the ceramics have the following optimal properties: electromechanical coupling factor, kp = 0.62 and kt = 0.51; piezoelectric constant (d31) of 130 pC/N; mechanical quality factor (Qm) of 1112; dielectric loss (tan δ) of 0.005; high remanent polarization (Pr) of 30.4 μC.cm−2; and low coercive field (EC) of 6.2 kV.cm−1. Investigation of the domain structure of the two ferroelectric phases (tetragonal and rhombohedral) in the ZnO-doped PZT-PZN-PMnN with compositions at near the morphotropic phase boundary is described as follows: the 90 and 180° domains exist in the tetragonal phase, while the 71, 109, and 90° domains are located in the rhombohedral phase, and the widths of these domains were about 100 nm. Besides, the ceramics exhibited excellent temperature stability, which makes them a promising material for high-intensity ultrasound applications.",signatures:"Le Dai Vuong, Vo Thanh Tung and Phan Dinh Gio",downloadPdfUrl:"/chapter/pdf-download/73127",previewPdfUrl:"/chapter/pdf-preview/73127",authors:[{id:"241214",title:"Dr.",name:"Le",surname:"Dai Vuong",slug:"le-dai-vuong",fullName:"Le Dai Vuong"},{id:"326085",title:"Prof.",name:"Vo",surname:"Thanh Tung",slug:"vo-thanh-tung",fullName:"Vo Thanh Tung"}],corrections:null},{id:"73186",title:"Self-Healing of Concrete through Ceramic Nanocontainers Loaded with Corrosion Inhibitors and Microorganisms",doi:"10.5772/intechopen.93514",slug:"self-healing-of-concrete-through-ceramic-nanocontainers-loaded-with-corrosion-inhibitors-and-microor",totalDownloads:389,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Self-healing was considered for repairing of destruction of reinforced concrete on bridges, houses, etc., that comes from corrosion of reinforcement metals as well as cracking in cement. The work was accomplished at producing and assessing through incorporate ceramic nanocontainers loaded with microorganisms. We produced various types of organic and inorganic nanocontainers that were incorporated into the cement that can act as carriers for the transport of bacteria. The microorganisms used in the work are Escherichia coli and Staphylococcus aureus. Precipitation of CaCO3 was observed by both bacteria. As microspheres do not affect the submersion of the mineral by the microorganism, additional studies were carried out to assess the interaction between transmission microsystems and bacterium. The mechanism of self-healing of building materials in this work was based on CaCO3 precipitation, through the ureolytic action of bacteria. When a crack appears in the cement, then the bacterium trapped in a nanocontainers is released and comes into contact with the water. In this way, the microorganism begins to metabolize and precipitate the mineral, in a way that eventually observes healing of the crack. CaCO3 microbial precipitation was based on the breakdown of urea (CO (NH2)2) into CO32− and NH3. Due to the high pK value of the NH3/NH4+ system (pKa = 9.2), the breakdown reaction led to an increase in pH, favoring the release of carbonated ions (CO32−), and in an environment rich in calcium ions (Ca2+), CaCO3 precipitation took place.",signatures:"George Kordas",downloadPdfUrl:"/chapter/pdf-download/73186",previewPdfUrl:"/chapter/pdf-preview/73186",authors:[{id:"306484",title:"Emeritus Prof.",name:"George",surname:"Kordas",slug:"george-kordas",fullName:"George Kordas"}],corrections:null},{id:"73538",title:"New Bismuth Sodium Titanate Based Ceramics and Their Applications",doi:"10.5772/intechopen.93921",slug:"new-bismuth-sodium-titanate-based-ceramics-and-their-applications",totalDownloads:518,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Ferroelectric materials are widely investigated due to their excellent properties and versatile applications. At present, the dominant materials are lead-containing materials, such as Pb (Zr,Ti)O3 solid solutions. However, the use of lead gives rise to environmental concerns, which is the driving force for the development of alternative lead-free ferroelectric materials. (Bi0.5Na0.5)TiO3-based ceramics are considered to be one of the most promising lead-free materials to replace lead-containing ferroelectric ceramics due to their excellent ferroelectric properties, relaxation characteristics, and high Curie point. After decades of efforts, great progress has been made in the phase structure characterization and properties improvement of BNT based ceramics. However, most of the studies on BNT system mainly focuses on its piezoelectric properties and application of piezoelectric sensors and strain actuators, little attention is paid to its ferroelectric properties and related applications. In this chapter, new BNT-based ceramics via composition modification and special focuses on the ferroelectric properties, phase transition behaviors under external fields and related applications, such as application in energy storage, pulsed power supply and pyroelectric detection were proposed.",signatures:"Hengchang Nie, Genshui Wang and Xianlin Dong",downloadPdfUrl:"/chapter/pdf-download/73538",previewPdfUrl:"/chapter/pdf-preview/73538",authors:[{id:"324929",title:"Dr.",name:"Hengchang",surname:"Nie",slug:"hengchang-nie",fullName:"Hengchang Nie"},{id:"332042",title:"Dr.",name:"Genshui",surname:"Wang",slug:"genshui-wang",fullName:"Genshui Wang"},{id:"332043",title:"Dr.",name:"Xianlin",surname:"Dong",slug:"xianlin-dong",fullName:"Xianlin Dong"}],corrections:null},{id:"74295",title:"Investigation of Structural, Magnetic and Electrical Properties of Chromium Substituted Nickel Ceramic Nanopowders",doi:"10.5772/intechopen.94941",slug:"investigation-of-structural-magnetic-and-electrical-properties-of-chromium-substituted-nickel-cerami",totalDownloads:301,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Nano-ceramic of NiCrxFe2-xO4 (0.1 ≤ x ≤ 1.0) ferrites were synthesized by citrate-gel auto combustion method. The structural parameter such as lattice parameter, X-ray density, bulk density and porosity variations with Cr doping were studied. The average crystallite size is in the range 8.5–10.5 nm. The surface morphology and elemental analysis was studied with SEM (EDAX) spectrum and the structural information analyzed with FTIR spectra. Magnetic properties were discussed with Cr3+ion concentration. Electrical parameters like dc resistivity and drift mobility were reported with function of temperature and dopent concentration from room temperature to well beyond Curie temperature and explained with hopping mechanism between Fe2+↔Fe3+ ions. The activation energies in ferri and para magnetic regions were investigated. Dielectric parameters like dielectric constant, dielectric loss and ac conductivity were investigated variation with frequency and composition.",signatures:"Rapolu Sridhar, D. Ravinder, J. Laxman Naik, K. Vijaya Kumar, N. Maramu and S. Katlakunta",downloadPdfUrl:"/chapter/pdf-download/74295",previewPdfUrl:"/chapter/pdf-preview/74295",authors:[{id:"289636",title:"Prof.",name:"Ravinder",surname:"Dachepalli",slug:"ravinder-dachepalli",fullName:"Ravinder Dachepalli"},{id:"346605",title:"Dr.",name:"Nyathani",surname:"Maramu",slug:"nyathani-maramu",fullName:"Nyathani Maramu"},{id:"346606",title:"Dr.",name:"Sadhana",surname:"Katlakunta",slug:"sadhana-katlakunta",fullName:"Sadhana Katlakunta"}],corrections:null},{id:"74406",title:"The Effect of Ceramic Wastes on Physical and Mechanical Properties of Eco-Friendly Flowable Sand Concrete",doi:"10.5772/intechopen.95041",slug:"the-effect-of-ceramic-wastes-on-physical-and-mechanical-properties-of-eco-friendly-flowable-sand-con",totalDownloads:345,totalCrossrefCites:3,totalDimensionsCites:4,hasAltmetrics:0,abstract:"This work aims to study the valorization and recycling of ceramic wastes (wall tiles) as a fine aggregate instead of sand in the manufacturing of flowable sand concrete (FSC). For this, the sand is substituted with the ceramic wastes at different dosages (0, 5, 10, 15, 20, and 25% by volume of the sand). The influence of the ceramic wastes addition on the physical (workability, density) and mechanical (compressive, flexural and elastic modulus) properties of FSC was studied. The results show that the use of ceramic waste as partial replacement of sand contributes to reduce the workability, bulk density and improves the mechanical strengths of FSC according to the use of 25% of wall tiles waste.",signatures:"Mohamed Guendouz, Djamila Boukhelkhal, Alexandra Bourdot, Oussama Babachikh and Amine Hamadouche",downloadPdfUrl:"/chapter/pdf-download/74406",previewPdfUrl:"/chapter/pdf-preview/74406",authors:[{id:"323550",title:"Dr.",name:"Mohamed",surname:"Guendouz",slug:"mohamed-guendouz",fullName:"Mohamed Guendouz"},{id:"326866",title:"Dr.",name:"Alexandra",surname:"Bourdot",slug:"alexandra-bourdot",fullName:"Alexandra Bourdot"},{id:"326867",title:"Dr.",name:"Djamila",surname:"Boukhelkhal",slug:"djamila-boukhelkhal",fullName:"Djamila Boukhelkhal"},{id:"338169",title:"Mr.",name:"Oussama",surname:"Babachikh",slug:"oussama-babachikh",fullName:"Oussama Babachikh"},{id:"338170",title:"Mr.",name:"Amine",surname:"Hamadouche",slug:"amine-hamadouche",fullName:"Amine Hamadouche"}],corrections:null},{id:"73232",title:"Ceramics Coated Metallic Materials: Methods, Properties and Applications",doi:"10.5772/intechopen.93814",slug:"ceramics-coated-metallic-materials-methods-properties-and-applications",totalDownloads:654,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Surface coating can allow the bulk materials to remain unchanged, while the surface functionality is engineered to afford a more wanted characteristic. Ceramic coatings are considered as ideal coatings on metal which can significantly improve the surface properties of metal materials including anti-fouling, self-cleaning, corrosion resistance, wear resistance, oil/water separation and biocompatibility. Furthermore, various techniques have been utilized to fabricate a range of different ceramic coatings with more desirable properties on metal materials, which make the materials widely used in service environment. This chapter focus will be on the types, fabrication methods, surface properties and applications of ceramics coated metal materials.",signatures:"Dongmian Zang and Xiaowei Xun",downloadPdfUrl:"/chapter/pdf-download/73232",previewPdfUrl:"/chapter/pdf-preview/73232",authors:[{id:"324466",title:"M.D.",name:"Xiaowei",surname:"Xun",slug:"xiaowei-xun",fullName:"Xiaowei Xun"},{id:"325574",title:"Dr.",name:"Dongmian",surname:"Zang",slug:"dongmian-zang",fullName:"Dongmian Zang"}],corrections:null},{id:"73977",title:"Nanostructured Multilayer Composite Coatings for Cutting Tools",doi:"10.5772/intechopen.94363",slug:"nanostructured-multilayer-composite-coatings-for-cutting-tools",totalDownloads:414,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The chapter deals with the specific features concerning the application of wear-resistant coatings to improve the performance properties of ceramic cutting tools. The paper discusses the theoretical background associated with the specific operation conditions and wear of ceramic cutting tools and influencing the choice of the compositions and structures of wear-resistant coatings. The studies were focused on the application of the Ti-(Ti,Al)N-(Zr,Nb,Ti,Al)N multilayer composite coating with a nanostructured wear-resistant layer, as well as the (Cr,Al,Si)N–(DLC–Si)–DLC–(DLC–Si) and (Cr,Al,Si)N–DLC composite coatings in order to improve the cutting properties of ceramic tools. The chapter presents the results of the comparative cutting tests for the tools with the coatings under study, uncoated tools, and tools with the Ti-(Ti,Al)N commercial coating. The wear mechanisms typical for ceramic cutting tools with coatings of various compositions have been investigated.",signatures:"Sergey Grigoriev, Alexey Vereschaka, Marina Volosova, Caterina Sotova, Nikolay Sitnikov, Filipp Milovich and Nikolay Andreev",downloadPdfUrl:"/chapter/pdf-download/73977",previewPdfUrl:"/chapter/pdf-preview/73977",authors:[{id:"196459",title:"Dr.",name:"Alexey",surname:"Vereschaka",slug:"alexey-vereschaka",fullName:"Alexey Vereschaka"},{id:"207607",title:"Dr.",name:"Nikolay",surname:"Sitnikov",slug:"nikolay-sitnikov",fullName:"Nikolay Sitnikov"},{id:"264336",title:"Dr.",name:"Catherine",surname:"Sotova",slug:"catherine-sotova",fullName:"Catherine Sotova"},{id:"329434",title:"Prof.",name:"Sergey",surname:"Grigoriev",slug:"sergey-grigoriev",fullName:"Sergey Grigoriev"},{id:"329437",title:"Dr.",name:"Filipp",surname:"Milovich",slug:"filipp-milovich",fullName:"Filipp Milovich"},{id:"329438",title:"Dr.",name:"Nikolay",surname:"Andreev",slug:"nikolay-andreev",fullName:"Nikolay Andreev"},{id:"330235",title:"Dr.",name:"Marina",surname:"Volosova",slug:"marina-volosova",fullName:"Marina Volosova"}],corrections:null},{id:"74485",title:"Three-Dimensionally Ordered Macroporous-Mesoporous Bioactive Glass Ceramics for Drug Delivery Capacity and Evaluation of Drug Release",doi:"10.5772/intechopen.95290",slug:"three-dimensionally-ordered-macroporous-mesoporous-bioactive-glass-ceramics-for-drug-delivery-capaci",totalDownloads:394,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"Bioactive glass ceramics (BGCs) have been used in orthopedic and dentistry due to having better osteoconductive and osteostimulative properties. This study aimed to evaluate and compare the drug release properties of two different BGCs; 45S5 and S53P4. The BGCs were composed with four phases of SiO2 – CaO – Na2O – P2O5 system, synthesized by sol–gel method using dual templates; a block-copolymer as mesoporous templates and polymer colloidal crystals as macroporous templates, called three-dimensionally ordered macroporous-mesoporous bioactive glass ceramics (3DOM-MBGCs). In vitro bioactivity test performed by soaking the 3DOM-MBGCs in simulated body fluid (SBF) at 37°C. The results indicated that, the 45S5 have the ability to grow hydroxyapatite-like layer on the surfaces faster than S53P4. Gentamicin drug was used to examine in vitro drug release properties in phosphate buffer solution (PBS). The amount of drug release was quantified through UV/Vis spectroscopy by using o-phthaldialdehyde reagent. S53P4 showed high drug loading content. The outcome of drug release in PBS showed that both S53P4 and 45S5 exhibited a slowly continuous gentamicin release. The resultant drug release profiles were fitted to the Peppas-Korsmeyer model to establish the predominant drug release mechanisms, which revealed that the kinetics of drug release from the glasses mostly dominated by Fickian diffusion mechanism.",signatures:"Reedwan Bin Zafar Auniq, Namon Hirun and Upsorn Boonyang",downloadPdfUrl:"/chapter/pdf-download/74485",previewPdfUrl:"/chapter/pdf-preview/74485",authors:[{id:"328197",title:"Assistant Prof.",name:"Upsorn",surname:"Boonyang",slug:"upsorn-boonyang",fullName:"Upsorn Boonyang"},{id:"338371",title:"Dr.",name:"Namon",surname:"Hirun",slug:"namon-hirun",fullName:"Namon Hirun"},{id:"338373",title:"Mrs.",name:"Reedwan",surname:"Bin-Zafar Auniq",slug:"reedwan-bin-zafar-auniq",fullName:"Reedwan Bin-Zafar Auniq"}],corrections:null},{id:"75213",title:"Challenges in Rietveld Refinement and Structure Visualization in Ceramics",doi:"10.5772/intechopen.96065",slug:"challenges-in-rietveld-refinement-and-structure-visualization-in-ceramics",totalDownloads:675,totalCrossrefCites:2,totalDimensionsCites:2,hasAltmetrics:0,abstract:"The most common and basic characterization in the field of material science is the almighty X-ray diffraction (XRD). In every institute, every research report and every manuscript, concerning material properties, the X-ray diffraction pattern is essentially found. Although the basis of these works relies on the fact that X-ray diffraction pattern was found to be matching with some structure in a database, the in depth significance of the various characteristic diffraction manifestations of various physical characters are rarely discussed. Most of the researchers (especially beginners) are either not aware of the prowess of X-ray based characterizations, or have not been introduced to it properly or may be sometimes they are not interested in its results at all. The decreased interest (later) in the results from such studies might be for not being productive enough for time spending or non-effectiveness in justifying the motivation of the work. The former two are more related to the availability and accessibility of study material for the development of core concepts. Most of the institutes always do not have access to the span-wide scientific literature and the researchers joining these institutions are partly affected. In this context the effective open-access and free availability of intech-open, it is prudent to at least attempt to accumulate, assimilated and aggregate the concepts related to X-ray diffraction in a single package. 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According to the statistics of the American Society for Aesthetic Plastic Surgery (ASAPS) for 2014, liposuction has been most commonly performed cosmetic surgical procedure [1]. The technique of fat removal using a curette subcutaneously connected to a suction device was created in the 1970 and 1980. Various surgeons concurrently were performing the similar method, but the Italian gynecologist Giorgio Fischer in 1974 presented a prototype machine [2, 3]. Illouz introduced the liposuction technique in 1982 at the Annual Meeting of the American Society of Plastic and Reconstructive Surgeons [4]. Since then, there have been various attempts in improving this technique. With the progress of technology, various methods have been described in addition to traditional suction-assisted liposuction in order to improve the final cosmetic result and diminish complications.
\nIn this chapter, we describe the use of laser energy in traditional suction-assisted liposuction and body contouring.
\nA laser is a device that emits light through a process of optical amplification based on the stimulated emission of electromagnetic radiation. The term “laser” originated as an acronym for “light amplification by stimulated emission of radiation” [5, 6]. Theodore H. Maiman in 1960 produced the first laser using ruby as a medium that was stimulated using high energy flashes of intense light. Laser light is monochromatic, bright, unidirectional, and coherent [7].
\nDr. Leon Goldman is called the father of laser medicine. He was the first to introduce lasers in medicine shortly after the first laser was invented. In 1963, he published first scientific article on the pathology of the effect of the laser beam on the skin [8]. Hukki et al. were first to describe the tissue effects of different Nd:YAG contact laser scalpels on pig skin and subcutaneous fat in 1988 [9]. Dressel was first to perform laser lipolysis procedure in 1990 on a 34-year-old man with abdominal adiposity [10]. Formally, laser-assisted liposuction was first introduced by Apfelberg in 1992 when he described direct action of laser in the fat tissue [11]. In 1994, Apfelberg et al. performed FDA-approved study on fifty-one patients in five plastic surgery centers. Nd: YAG (neodymium-doped yttrium aluminum garnet) laser was used. The 600 μm fiber was enclosed in 4 or 6 mm cannula. The energy used was 40 W. Pulse duration was 0.2 s. The laser fiber was not in direct contact with the tissue [12]. The study showed slight benefit for ecchymosis, pain and discomfort, and edema, but it was not enough for the FDA to approve the technology so in that time, it was abandoned and the development of the technology transferred to South America and Europe.
\nThe current principles for the use of laser energy in laser lipolysis/liposuction were founded by Blugerman, Schavelzon, and Goldman in the early 2000. They were first to describe the effects of laser on adipose tissue and surrounding structures—dermis, vasculature, and interstitial tissue [13–16]. Badin et al. also reported their findings in 2002. They found laser lipolysis to be superior to the conventional suction-assisted liposuction in terms of reduced bleeding, disrupted adipose cell membranes, and introduction of new collagen. Its histological findings correlated with their clinical observation—less ecchymoses, decrease in local adiposity and skin tightening (badin-flaccidity under control) [17].
\nOn 31 October of 2006 FDA-approved a 1064 nm Nd: YAG laser (smartLipo, Cynosure) for the surgical excision, vaporization, ablation, and coagulation of soft tissues. That caused the market to explode and various companies introduced their laser lipolysis machines with various wavelengths as well as the laser source. That also enabled new studies to be performed, and it was followed with a number of articles that advocated the benefits of laser-assisted liposuction.
\nAround the same time of the FDA approval, laser lipolysis was also approved in Japan where Ichikawa et al. were first to demonstrate the histologic and photonic relationship of energy absorption and lipolysis using a pulsed Nd:YAG laser. Scanning electron microscopy after irradiation showed greater destruction of human adipocytes than in the control. Degenerated cell membrane, vaporization, liquefaction, carbonization, and heat coagulated collagen fibers were observed [18]. In 2005, Badin demonstrated that laser-assisted liposuction produces more major irreversible damage on the adipose cells with less bleeding that the traditional suction-assisted liposuction [19]. In 2007, Mordon et al. represented mathematical model of laser lipolysis. The importance of that article was actually in their conclusion that heat rather than particular wavelength leads to lipolysis and skin tightening. They concluded that the temperature of 48–50°C inside the lower dermis is sufficient to induce skin tightening, which corresponds to external temperature of 38–41°C [20]. Finally, in 2008, McBean and Katz were first to evaluate the skin tightening effect by photographic documentation and measurement. Subjects had 4 × 4 cm temporary India ink tattoos placed at the treatment site and measurements showed 18% decrease in surface area. They also performed histological evaluation that indicated new collagen and myofibroblast compared to the baseline [21]. Until today, various studies have been performed and articles have been published regarding superiority of laser-assisted liposuction but also complications have been described. Therefore, it should be remembered that laser is just a tool in a surgeon’s hand and care must be taken to use the maximum from the energy tool but also not to endanger patient’s safety.
\nBasic mechanism of action in laser lipolysis is photothermal [20, 22]. Targeted tissue absorbs laser energy and converts it into heat. During laser lipolysis and constant moving of the laser beam, two parallel processes occur: absorption and scattering. Absorption occurs momentarily and, in biological tissue, is mainly caused by water molecules, proteins, and pigments. Absorbed laser light energy converts into heat, thus producing desired thermal damage. The heat acts on adipose cells and the extracellular matrix to produce both reversible and irreversible cellular damage. For low-energy settings, heat generated by the laser alters the balance of sodium and potassium of the cellular membrane, allowing the free transport of extracellular liquid to intracellular space. For higher energy, settings rupture of adipose cells, coagulation of collagen fibers, and small vessels are observed. Cell lipases are liberated in the surrounding area, thus liquefacting the tissue [23–25].
\nAt the same time, scattering occurs. Scattered parts of the laser beam are refracted and finally also absorbed. This effect broadens the final volume of tissue where the absorption and thermal damage finally occur.
\nIn human skin and subcutaneous adipose tissue, scattering predominates over direct absorption for the wavelengths between 450 and 1800 nm [24]. When there is higher absorption, scattering is mitigated, which results in low thermal effect. Considering all of the above, the optimal choice of wavelength for laser lipolysis is one that is scattered as well as absorbed in tissue. As the wavelength increases, the absorption increases also and scattering decreases.
\nThe photothermal process of fat cell disruption occurs with the tissue heated on 50–65°C. Lower temperatures do not result in destruction of adipocytes. Higher temperatures are not advisable due to complications—tissue necrosis and scarring [23, 26]. To achieve skin tightening, temperatures of 48–50°C must be reached within the dermis to induce collagen contraction. Collagen injury from thermal damage promotes collagen remodeling, leading to increases in skin tone and texture. Whenever a controlled, reversible thermal injury is created, the body’s response is to release mediators responsible for the healing process. In turn, fibroblasts are stimulated to generate and lay a bed of newly formed collagen [27–29].
\nDifferent wavelengths have been selected for laser lipolysis in an attempt to specifically target: adipose tissue, collagen (water), and blood vessels. There are not enough reports in current literature for a final conclusion to be made but some have been made. According to Perlette and Kaminer, the most selective wavelength for adipocyte cell disruption is 924 nm. Since the technology used is not only to diminish the subcutaneous fat layer but also to use it in an optimal way for body contouring which includes the skin during the procedure. The wavelength should be used that manages to disrupt fat cells but also achieves substantial skin tightening. With the wavelengths tested in the report, authors state that the 1064-nm wavelength has lower fat absorption but a better tissue disruption and there for produces better skin tightening effect. In that sense, for the treatment of fragile areas, authors suggest the use of 1320 nm because it has lower penetration and is safer to use [23, 30].
\nThe final result of laser-assisted liposuction/lipolysis is visible after 90 days. For the certain amount of adipose cells that were irreversibly damaged (but not ruptured at the time of the lysis) and were not suction during liposuction, the process of adipocitolysis occurs through macrophage activity and this process takes approximately 90 days.
\nAlso, after the initial thermal effect on the interstitial tissue, healing process is activated and fibroblast is stimulated to form new collagen. Neocollagenesis takes about 3–10 weeks.
\nThe most significant advantage of laser energy in liposuction is the skin tightening effect. The physiology of action has previously been described. Most candidates that undergo liposuction have significant adipose tissue amount and generally have moderate excess of skin. In cases where skin excision is not indicated the amount of skin tightening that evolves from using the laser energy is generally enough to achieve satisfactory result. Therefore, it is always indicated in patients that could result in excess skin after aspirating the subcutaneous fat. Surgeons should also remember that effects of laser energy are prolonged. Skin tightening occurs during several months after the procedure. The patients should also know that definitive result can be seen after several months [21, 27, 30, 31].
\nDuring laser-assisted lipolysis/liposuction, smaller cannula sizes are used. The adipose tissue is liquefacted; thus, it takes up less volume and the incision site can therefore be smaller. Smaller cannulas result in less trauma to the surrounding tissue resulting in less pain and discomfort after the procedure that enables the patient to recover faster and return to normal everyday activity. Smaller cannulas also enable to perform liposuction in smaller areas where much more precision is needed. That combined with the uniform liquefaction of the adipose tissue makes perfect combination for treating localized adiposity in thigh and knee area, arms, and submental and facial fat. Also, smaller cannulas can be especially useful in areas like male chest, back, or hips. Those areas are very fibrous; therefore, the fat is trapped in smaller compartments. The smaller is the cannula used for lipolysis and it facilitates fat melting in fibrous locations. In the same time, smaller cannula size diminishes trauma to the surrounding tissue experienced with larger sized cannulas. Only laser lipolysis without aspiration of the liquefied content is described in the literature. Dudelzak, Hussain, and Goldberg reported study with 20 patients that underwent laser lipolysis of extensor arm fat pads. The liquefied fat was removed in 50% of the patients, and the results were observed 6 months after the procedure. Their conclusion was that the results were identical whether or not post-laser lipolysis aspiration was undertaken [32]. Individual case reports can be found describing masses after laser lipolysis alone [33]. Fat necrosis is usually a gradual process that is noticed by the patient or physician as a mass. Radiologically, it can imitate cancer. Complications from necrosis of any kind are in direct correlation with the amount of necrotic tissue. Larger amounts of necrosis create a greater inflammatory response. If the amount of necrotic tissue is too big, in time, macrophages will not be able to resolve all of the necrosis but only that which is placed peripherally and is in contact with the viable tissue. The central part will remain, and the immune system will encapsulate the remaining necrosis [34]. The authors advocate the use of aspiration whenever possible to avoid such complications. Laser lipolysis alone should be reserved only to small treated areas where aspiration could result in irregularities.
\nLaser-assisted lipolysis/liposuction results in reduced blood loss due to coagulation effect of the laser energy. Abdelaal and Aboelatta conducted a study on 56 patients. Equal amounts of liposuction were performed—traditional-assisted liposuction on one side and laser-assisted liposuction on the contralateral side. Blood loss volumes were calculated from the lipoaspirates by measuring hemoglobin and red blood cell content. Laser lipolysis reduced the blood loss by more than 50% compared to the traditional liposuction [35]. Considering the reduced blood loss, laser-assisted liposuction is indicated in large-volume liposuctions (>5 L of lipoaspirate) to prevent secondary anemia due to blood loss during surgery. Reduced blood loss diminishes the need for postoperative blood transfusions and therefore results in faster recovery. Reduced blood loss is especially important in patients who previously underwent bariatric surgery. In those patients, preoperative anemia is often present [36]. Coagulation of the vessels also contributes to less bruising and edema, which also results in faster recovery and higher patient satisfaction [25].
\nMany surgeons have noted an improvement of cellulite after laser lipolysis procedures. The causes of cellulite are multifactorial, including changes in fibrous septae within the hypodermis that macroscopically show herniation of subcutaneous fat into the dermis [37]. In 2008, Goldman et al. published a new treatment approach combining subdermal Nd: YAG laser lipolysis and autologous fat transplantation that resulted in significant clinical improvement in cellulite. A majority of patients (84.6%) rated the results of treatment as either good or excellent [38]. In 2016, Petti et al. reported the use of the Nd:YAG laser at a wavelength of 1440 nm, along with an innovative 1000-μm directional side-firing fiber-optic laser system for single stage contouring of the lower body and concluded that both problems could be addressed at a same time with high satisfaction rate using different laser energy that according to their specifications have better effect on fat melting or collagen heating [39]. These findings are in correlation with findings reported by Forman Taub and Friedman [23].
\nLast, but not least, because the adipose tissue is liquefied, fatty tissue removal should be hastened creating less strain for the surgeon. Aspiration of the liquefied adipose tissue should be smooth, and large surgeon’s strength should not be involved.
\nDue to photothermal effect of the laser energy and the heat accumulated in the tissue during the procedure, laser burns or skin necrosis can occur. Accumulating the heat in one place which happens if you do not move around the tissue with the fiber fast enough and you remain on one place overaccumulation of the heat will happen in one place and thermal injury will develop. It can start as a blister and in the beginning can appear as a partial skin thickness burn, but you must remember that the damage came from the inside; therefore, it will result in full skin thickness burn and will definitely leave a mark. As it was described before, there is a thin line between the desired effect and adverse event. To avoid this complication when beginning using laser energy in liposuction, the authors suggest to start with lower energy levels and avoid very superficial areas of the subcutaneous tissue to avoid direct dermal as well as dermal vascular plexus injury. An infrared thermometer (some devices are equipped with an internal subcutaneous thermometer) can be used to control the heat. Outside control of the temperature can be done but in reality is unreliable. Some surgeons also advise cold compresses on the treated area to diminish the effect of the laser on the skin [40]. The authors suggest continuous movement of the fiber with contralateral hand on the treated skin area to control the applied energy, and therefore, the accumulated heat to minimize the risk of laser burns.
\nIn cases where laser lipolysis without aspiration is done, fat necrosis may occur. As mentioned before, fat necrosis is possible. In reasonable small amounts, the body is able to process and remove the cellular debris and biochemical by-products of the melted fat cells. In larger amounts, the results are unpredictable with hard nodules, lumps, and uneven scarring. The risk of fat necrosis is diminished with the use of aspiration but is not completely disappeared. As it was mentioned before, the prolonged effect of thermal injury happens in cases where adipose cells’ membrane was not disrupted but the cell accumulated enough energy to produce irreversible damage and that kind of tissue was not aspirated subsequently but left inside. During time, adipocitolysis via the macrophages starts. If the area of irreversible damage is larger with no blood flow, then the macrophage delivery to the point of injury is impossible and body starts to localize the process and the fat necrosis present like a mass. To avoid these kind of complications, authors suggest the uniform lipolysis with the laser as well as uniform aspiration following lipolysis.
\nOveraccumulation of the heat can result in hyperfibortic reaction that can be visible as a strain or palpable or patient can complain of the straining in some of the treated parts especially during movement. These adverse reactions can be treated with injection of the triamcinolone acetonide injections in the strains but mostly resolve during time with compressive massage.
\nAt the beginning of the use of lasers in liposuction, there has been concern regarding the increase of serum lipids due to degradation of the adipose cells. Mordon et al. published an article in 2009. They studied standard lipid profile (total cholesterol, HDL cholesterol, LDL cholesterol, and triglycerides) before the procedure and 1 day, 3 days, 2 weeks, and 1 month after the laser lipolysis procedure. They concluded that serum cholesterol and triglyceride levels remained in the normal range after laser lipolysis. They proposed two hypotheses: fat elimination is so gradual that an increase in circulating lipid levels is not measurable and/or the damaged adipocytes are undergoing apoptosis and being removed by phagocytosis, presumably via activated macrophages [41].
\nRecently, in August of 2015, Shin and Chang reported a case of a 34-year-old patient that was diagnosed with rhabdomyolysis with acute kidney injury after laser-assisted liposuction. No similar reports until now have been made [42].
\nPreoperative evaluation of the patient must be done. Pinch test should be performed to evaluate the amount of excess skin and to exclude the need for surgical excision of the excessive skin. Irregularities of the skin should be marked, while patient is standing to avoid losing the 3D relations once the patient is on the operating table. Preoperative photographs should be taken with emphasis on the skin irregularities.
\nTargeted area should always be larger than the aspiration site to achieve better skin tightening effect and to allow the overlying skin to attach to the infrastructure uniformly. For example, when treating gynecomastia/pseudogynecomastia, laser energy should be applied to whole chest area to achieve better skin retraction and accommodation (see Figures 1–5).
\nPreoperative markings—case 1.
Intraoperative “pinch test” to evaluate the amount of the fat tissue during the procedure—case 1.
Intraoperative “pinch test” to evaluate the amount of the fat tissue during the procedure—case 1.
Intraoperative “pinch test” to evaluate the amount of the fat tissue during the procedure—case 1.
(a) Before photographs—case 1. (b) After 7 days—case 1.
Although there are many advocates of liposuction done solely in tumescent anesthesia, the authors prefer general anesthesia due to their comfort as well as the patients. The authors advise tumescent anesthesia only in cases of localized adiposity in one treated area. Authors also recommend 12- to 24-h observation after the whole-body procedure to administer the loss of intravascular volume as well as to help patients in early postoperative period.
\nIn cases when the whole body (e.g. legs, abdomen, flanks, back) is treated, we recommend the disinfection of the skin in the treated areas should be done while patient is in the standing position and awake to be able to disinfect the whole circumference of the body and once finished patient should be laid down on the operating table previously covered sterilely.
\nPerioperatively single dose of 2 g cephazoline should be administered and continued orally with second-generation cephalosporin antibiotics.
\nInfiltration is done with the infiltration pump to minimize the time needed for the infiltration as well to deliver the infiltration uniquely. In case of tumescent anesthesia only standard Klein’s solution in used. If the patient is in general anesthesia, only epinephrine can be used (1 ml of 1:1000 on 1 L of normal saline) to avoid the toxicity of lidocaine but still achieve vasoconstriction. Fifteen minutes after the infiltration, the laser lipolysis can be started (that is the approximate time needed for the infiltration process so once the infiltration is done normally you can start the laser lipolysis on the area firstly infiltrated).
\nThe authors use the diode 1470 nm laser for the last 6 years. Energy applied normally is set to 12 W (for abdomen, flanks, back, legs, pseudogynecomastia), 10 W for the arms, and 6 W for the facial area and the submental fat. Pulse wave is continuous. As opposed to other laser wavelengths, which are absorbed by both water and oxyhemoglobin, 1470 nm demonstrates a greater water absorption coefficient. Sliding of the fiber should be smooth without surgeons’ strength involvement. Thus, when strength should be applied, one should wait for a second in the place while the laser delivers the energy and the resistance in the tissue should ease up and allow us to slide through the tissue without mechanically disrupting the tissue fibers. Care must be taken all the time to avoid thermal injuries. The authors suggest to always have the opposite hand on the treated area to evaluate the temperature of the area. Devices equipped with internal subcutaneous thermometer can be used to monitor the temperature, or infrared thermometer can be used to measure outside temperature being careful not to exceed 38–40°C. Cold packs on the surface can diminish the temperature on the surface and thus avoiding the thermal injury of the skin. In 2009, Reynaud et al. published a retrospective analysis of 534 procedures of lipolysis using a 980-nm diode laser and calculated mean amount of energy and tumescent fluid infiltration for each location [25]. The lysis should first be done in deep layer parallel to the underlying structures radially covering the whole area available from the incisional site. Once the liquefaction in the deeper layer is achieved, the fiber should be moved to the upper layer starting from the incisional site.
\nThe authors always advise to aspirate the liquefied adipose tissue after lipolysis to avoid complications described before. The aspiration starts with the bigger cannula moving to the smaller once to accelerate the aspiration but to avoid irregularities.
\nThe incisional sites could be left open in large-volume liposuctions to allow the additional drainage.
\nTo achieve the best skin tightening result, the authors advise applying the laser energy in the tissue once more after the aspiration process is done.
\nCompressive plates as well as the compressive garments should be applied at the end of the procedure to maximize the result. Postoperative instructions are explained later on in the chapter.
\nSmall size of the laser fiber enables the use of cannulas of small diameter. That facilitates the melting of the adipose tissue in delicate places so it allows us to melt the fat very superficial under the skin and enclosed in small fibrous compartments. Those specifications allow us to perform high-definition liposuction. It is reserved for the individuals who seek more defined and athletic look but cannot get rid of the small amount of the stubborn unwanted adipose envelope.
\nPreoperative markings are very important. Surgeon should mark the patient in the standing position. Goal is to mark the borders of the defining muscles such as m. rectus abdominis, m. pectoralis major, m. obliquus abdominis, m. deltoideus especially their tendinous parts. That can be achieved by asking the patient to contract the specific muscles or to perform the movement that emphasizes a specific muscle. During contraction or movement, you should mark the borders of the muscles and their tendinous parts.
\nIntraoperative process is the same as with the standard laser-assisted liposuction. During laser lipolysis, care must be taken not to make thermal injury of the skin so the movements of the laser fiber should be precise, smooth, and fast moving. Here is when the preoperative markings are important. To achieve highly defined structure, the intention is to apply more laser energy and thus more heat at the area where you marked the tendinous parts. More heat applied over the tendinous parts serves to promote collagen formation in the fibrous septa over the underlying tendinous structure so that those parts macroscopically look defined. Aspiration should be done with small diameter cannulas to ensure precise work and to avoid irregularities that can easily be done in already athlete patient. Postoperatively adhesive bandages can be placed with small amount of pressure on the previously mentioned tendinous parts to guide the healing process in the early postoperative period (7 days).
\nHigh-definition laser liposuction is a precise method and should not be performed if you are just beginning to use the laser device. There is no place for mistakes in high-definition liposuction. Too much energy applied subcutaneously can easily make thermal injury of the skin that will leave a mark. Also overaspiration of even small amount of the subcutaneous fat can result in a visible irregularity. You have to remember that individuals seeking high-definition liposuction are highly demanding and seeking only the perfect result. High-definition laser liposuction should be reserved for the physicians who are familiar with the technique.
\nDue to the skin tightening effect of the laser energy, the technique has also found its place in contouring face and neck. Submental region, cervicomandibular angle, Periparotid fat, and perinasolabial area are the treated areas. Energy applied in these areas is smaller than in the other parts of the body —6 W. As with the high-definition laser-assisted liposuction, this is not the technique for the beginners.
\nThis technique is useful not only in treating facial adiposity but also for patients seeking facial rejuvenation procedures and with proper indication can replace traditional face and neck lift [43, 44]. There are no long incisions, only incisional places for the laser fiber and subsequently used microcannulas. The results are long lasting and comparable to those of traditional surgery. Recovery time is faster and can be done in tumescent anesthesia.
\nCompression garments should be worn for 3 weeks.
Compression plates that can be found on the market or should be made at the end of the procedure by individual’s structural characteristics (costal arch, iliac crest, sizes of the flanks, back, or chest) of hard, yet flexible material that allows movements (should be dressed up in compresses) should be worn for 7 days during whole day and for the next 2 weeks during the night.
In cases of high-definition laser-assisted liposuction adhesive bandages mentioned before are worn for 7 days.
Showering of the treated area is allowed after check up on 7th postoperative day only with cold water to avoid vasodilatation and subsequent edema.
Peroral antibiotics of second generation of cephalosporin are given during 5 days.
Postoperative measurements are important in obtaining the best result possible. It should be carefully explained to the patient the importance of those instructions as they are in their best interest. They should be explained that all those postoperative measures have important role in their recovery and that they allow us to guide the healing process and that is in their best interest to follow them carefully. Postoperative measurements serve as a tool in obtaining best skin tightening effect and to avoid contour irregularities.
\nThe authors have been using laser-assisted lipolysis for the last 10 years. Laser used for the last 6 years was diode 1470 nm laser. 1470 nm has proved to be very safe. This wavelength shows high absorption rate for water molecules and fat cells; therefore, there is no need for high power settings during the procedure. That enables to work faster and also prevents damages to the surrounding tissue. In that way, it diminishes complication rates. During that time, no significant complication specific to laser has been seen. The authors are very satisfied with the results that are achieved with the use of laser in body contouring procedures. Satisfaction rate among the patients treated is extremely high, and they claim the postoperative period to be painless and fast (see Figures 6–35).
\n(a). Before photograph(front)- case 2. (b). Case 2(front) after 7 days.
(a). Before photograph(back)- case 2. (b). Case 2(back) after 7 days.
(a). Before photograph- case 3. (b). Case 3- after 3 weeks.
(a). Before photograph (front)—case 4. (b). Case 4 (front)-after 2 weeks.
(a). Before photograph (profile)- case 4. (b). Case 4 (profile)- after 2 weeks.
(a). Before photograph (back)-case 4. (b). Case 4 (back)-after 2 weeks.
(a). Before photograph (front)-case 5. (b). Case 5 (front)-after 7 days.
(a). Before photograph (profile)-case 5. (b). Case 5 (profile)-after 7 days.
(a). Before photograph (front)- case 6. (b). Case 6 (front)-after 3 weeks.
(a). Before photograph (back)- case 6. (b). Case 6 (back)-after 3 weeks.
(a). Before photograph (profile)- case 6. (b). Case 6 (profile)-after 3 weeks.
(a). Before photograph (front)- case 7. (b). Case 7-(front)- after 7 days.
(a). Before photograph (semiprofile)- case 7. (b). Case 7 (semiprofile)- after 7 days.
(a). Before photograph (profile)- case 7. (b). Case 7 (profile)-after 7 days.
(a). Before photograph (back)- case 7. (b). Case 7 (back)- after 7 days.
(a). Before photograph (front)- case 8. (b). Case 8 (front)-after 2 weeks.
(a). Before photograph (semiprofile)- case 8. (b). Case 8 (semiprofile)- after 2 weeks.
(a). Before photograph (profile)-case 8. (b). Case 8 (profile)- after 2 weeks.
(a). Before photograph (front)- case 9. (b). Case 9 (front)- after 6 weeks.
(a). Before photograph (profile)- case 9. (b). Case 9 (profile)- after 6 weeks.
(a). Before photograph (back)- case 9. (b). Case 9 after (back)- 6 weeks.
(a). Before photograph (front)-case 10. (b). Case 10 (front)- after 3 weeks.
(a). Before photograph (front)- case 11. (b). Case 11 (front)- after 3 weeks.
(a). Before photograph (profile)- case 11. (b). Case 11 (semiprofile)- after 3 weeks.
Laser lipolysis of the neck: always be aware of the probe’s position to avoid injuries of the marginal nerve.
(a). Before photograph(front)- case 12. (b). Case 13 (front)- after 3 weeks.
(a). Before photograph (profile)—case 12. (b). Case 13 (profile)- after 3 weeks.
(a). Before photograph (profile)- case 14. (b). Case 14 (profile)- after 1 month.
(a). Before photograph (front)—case 13. (b). Case 13 (front)- after one month.
(a). Before photograph (profile)- case 13. (b). Case 13 (profile)- after one month.
Laser-assisted liposuction is a big step forward in body sculpting. Since the laser was introduced in this area, various studies have been made and showed its benefits. The superiority of laser-assisted liposuction over traditional liposuction can be summarized as follows:\n
Superior skin tightening effect: changes occur in the tissue after absorption of laser energy due to photothermal effect. That characteristic enables us to treat any area with the excessive adipose tissue and modest skin laxity with obtaining better cosmetic result.
Coagulation of blood vessel: the use of laser reduced the blood loss after the liposuction and also reduces bruising after the procedure. That enables the patient to recover faster which leads to higher satisfaction rate.
Disruption of the adipose cells: the lipoaspirate is liquefied that enables the smoother aspect of the treated area.
Use of smaller cannulas: after the laser lipolysis has been done, the aspiration can be made with smaller cannulas that allows us to aspirate the areas of the fat that cannot be reached with traditional liposuction.
The specific complications of the laser energy should not be forgotten. Although laser allows us to reach results beyond the results of traditional liposuction, one should always have in mind that technology is just a tool in a physician’s hand. The goal is to optimize the amount of energy delivered to the tissue thus maximizing the final result but avoiding possible side effects and complications.
\nThe exponential growth and availability of data has opened the possibility of visualizing a city and all its layers in a previously unavailable smart way. We define the Smart Cities framework as an urban provider of several services clustered into different nonexclusive layers in a unified way [1], such clusters can be characterized as Mobility, Environment, Government, Economy, People and Living [2]. This digital transformation process cities face today is leading to a new reality where urban space is taking advantage of information and communication technologies and data science to answer present and future challenges, namely, to become more efficient in services and infrastructures management in order to deliver quality of life to the people who live, work or visit the city [3]. When developing a framework to support decisions in any of these layers one must always consider the amount of information available and its purpose. In this context it is natural to introduce a dashboard as a visualization tailored to give support to smart city agents, from managers to policy makers, in order to both understand and act on these complex matters [4] in a readily available manner and arranged on a single screen [5].
The global pandemic scenario caused by the Covid-19 pathogen raised many questions in terms of measuring and understanding its impact in multiple fronts (e.g. healthcare, economy, tourism). Addressing these questions became a critical task in tailoring and evaluating strategies to tackle the pandemic and minimize its effects, especially in the context of the Smart Cities. Naturally, a massive influx of dashboards started being developed, published and shared all over the internet by institutional agents, academia and industry. More often than not, these dashboards seem to lack well-defined guidelines in terms of their design choices and/or attempt to represent information in ways that are either unclear or dubious [6]. This diagnosis is one of the main drivers for writing this chapter and, hopefully, should provide an adequate reference guide for designing simple and insightful dashboards.
In this chapter we will provide a step-by-step dashboard design prototype applying structural guidelines [7] on how to deliver such an essential tool within the scope of mobility and the impact it suffered due to the Covid-19 pandemic in the city of Lisbon in Portugal. We will provide a broadening of the concepts required and encourage the reader to apply this methodology in any case within the framework of decision support in Smart Cities.
The proposed solution relies on a Javascript backend engine executed with Python programming language [8], in line with the state of the art. In comparison with other implementations, our dashboard improves the understanding of the impact of the Covid-19 pandemic by synthesizing visualization concepts and techniques gathered in the literature. This way, it is introduced a novel approach to better visualize mobility patterns in the context of Smart Cities.
As defined in the literature, a dashboard is “a visual display of data used to monitor conditions and/or facilitate understanding”. While there is not a clear definition in terms of its format, dashboards usually “combine different elements (e.g., charts, text, legends, filters, etc.) into a cohesive and coordinated whole that allows people to see and understand their data” [7].
In the field of mobility, it was identified a set of relevant dashboards that attempt to highlight trends and patterns by using clear visualizations and metrics, as shown in Figures 1 and 2:
Google’s COVID-19 community mobility reports.
C2SMART COVID-19 data dashboard.
Since the Covid-19 outbreak, Google started to release periodic reports [9] highlighting mobility changes at the city level, by using a category breakdown (e.g. Retail & recreation, Grocery & pharmacy, parks). While this report could arguably be described as a dashboard, it conveys information using data visualization tools and techniques to provide understanding over a certain event. In a simplistic manner, it defines a ratio metric to highlight the change in mobility caused by the policies and measures to tackle the Covid-19 outbreak. Additionally, it uses a line chart to analyze fluctuations over the previous weeks. Google also ensures the statistical significance of the information displayed by removing cities and categories which are not relevant or cannot be properly subject to analysis. On the other hand, the limited scope and lack of interactivity of this report could be pointed out as shortcomings and could be improved.
In Figure 2, an interactive dashboard is proposed by C2SMART [10] to visualize daily traffic conditions and report changes in commuting patterns in the city of New York since the Covid-19 outbreak. This dashboard consists of combining several data sources (i.e. taxi, subway, traffic jams and collisions) and techniques to provide a complete picture of the impact of the pandemic on transportation systems as it unfolds. Given the nature of data, we are once again presented with elements that can better display the spatial–temporal distribution of mobility: (a) a map visual displays the traffic flow for the main roads in the city; (b) a heatmap visual shows the year-over-year (YoY%) difference ratio in traffic volume; (c) a line-bar chart showing absolute and YoY% subway ridership data; (d) a line chart showing hourly travel times for a selected road; and (e) a bar chart showing the weekly reported crashes between 2019 and 2020. The depth of this dashboard poses as a great example for the usage of data visualization for analyzing the effects of Covid-19 in mobility. Nonetheless, it might present some challenges in terms of complexity when using the several available filters and interpreting the information in an adequate manner.
Mobility in the Smart City context is defined as the essence of contemporary cities, in other words it defines the interactions of all moving parts in the urban context with multiple and distinct information sources ranging from traffic sensors to telecommunications data. A concept such as this one can be used in the definition and planning of multiple services in the urban area, such as a major factor in a smart and sustainable urban planning, an economic proxy for socioeconomic characterization a feature in implementing and monitoring security in cities and so on [11].
As we have mentioned in the beginning of this chapter, mobility is only one of the multiple layers in the framework of Smart Cities, from which new insights can be reached with the simultaneous use of other sources of information either explaining or being explained by it. That is, understanding mobility alongside other determinant factors, in the context for Smart Cities, allows to answer a variety of questions about how cities and their inhabitants interact, at a certain point in time and space. Intuitively, the answer is always dependent on the intent of the visualization itself, but good practices are transversal to all problems [12].
For the dashboard built later in this chapter we will represent mobility by encoding traffic data in the form of geometric objects to map and describe commuting events happening throughout the city of Lisbon between 2019 and 2020, for the months of September and October. Additionally, we will also be using telecommunications data in the same spatial and temporal range in the form of Origin Destination (OD) matrices [13] to understand and quantify how many people move between census tracts of the city. Due to the sensitive nature of the communications information, all the data related to the OD matrices used to feed the visualizations was artificially generated from the original source. As we will see in the sections bellow, the usage of these two data sources will allow us to visualize mobility patterns across the day before and after Covid-19.
As it is known the Covid-19 has been a prevalent pandemic that significantly changed the way people conduct their lives [14, 15], especially when it comes to mobility, as lock down and isolation measures restricted commuting and traveling to an unprecedented extent. With such a significant transformation it is natural that the need for governments to reinforce well-informed policies is higher than ever, with the ambition of moving to data-driven public policy making, especially in the urban areas where the incidence is more pronounced. From our definition of mobility, it comes naturally that a study on the impact of this pandemic is not only desirable but a necessity in the context of Smart Cities, particularly now that we begin to have sufficient historical data for the period of this pandemic. However, presenting and exploring data to effectively turn it into valuable information requires some considerations, such as: the definition of the observed event, the toolset and structure used in the report, the scope of the report, the target audience, and its main objectives.
Below we will start to define all the structural requirements along with a set of good practices for a successful and impactful dashboard.
In order to adjust city wide services and policies, such as public transport, security, traffic management and infrastructure development, city planners require not only the latest information regarding the current state of mobility but also how historically it changed in regard to the impact of the Covid-19 pandemic or, in other words, what is the new “normal” mobility patterns in the city of Lisbon?
We are expected to define and visualize the current context of the city’s mobility as well as to be able to differentiate the impacts caused by the Covid-19 pandemic.
First and foremost, it is essential to outline a storytelling narrative behind your visualization to provide the proper context to the data, to highlight its relevant characteristics and, ultimately, to deliver insights.
Creating a visualization that can express the state of mobility at a given point in time, is the main objective, but having the city as a single entity is not enough to fully understand the dynamics of smaller partitions, such as neighborhoods and main roads. We identify three main requirements for a desirable dashboard: (a) a zoom in and out approach needs to be available to the user; (b) a clear temporal trend comparison is a must to understand the impact and the ways to administer the changes caused in the population’s mobility; and (c) measures to understand if the current state of mobility is expected and if not, where it is deviating from the norm.
Will it be possible to use this dashboard for a different purpose, for example: can it be used to aid police officers in choosing patrol routes? By adding information would we lose on the main problem? These are the questions you should be making even before you start thinking visually, since they will surely affect the outcome and longevity of the dashboard itself.
To whom the dashboard is aimed for should deeply impact its design, as you should not expect the end user to have the same degree of expertise in a subject as you do.
Given the importance of Smart Cities for policy makers and institutional agents, the main target of the proposed dashboard should be stakeholders whose responsibility is to tailor and gauge the conditions of the city’s infrastructures, services and facilities made available to its inhabitants, to improve the management of resources, namely public transport, and to promote well-being. But taking into consideration the possible scope option mentioned in the section above, what if the dashboard was intended to police officers as well? Given that their line of work requires specific and fine-grained information to recognize which specific streets might need more attention, new layers of information would be needed to provide such an understanding.
Before we can begin, we need to fully understand how we want to represent our problem set and the sources available for this purpose. For a descriptive visualization to successfully work it is required to operate under some well-founded assumptions.
For the problem at hand, we have available traffic jams, telecommunications OD matrices and geolocated layers such as metro stations, bus stops and road infrastructure. But how can we use them to represent such a broad term such as mobility? It is in this part of the chapter that we will start warning the reader that a single correct answer does not exist, different interpretations of the definition of the problem will naturally lead to different solutions, nevertheless, a substantiated approach that is able to effectively solve the problem is always of great value.
It is known that traffic jams are mainly caused by two intrinsically distinct factors [16]: (a) Daily commuting, a problem caused by a recurrent overload of the road system (mostly during week days) in both the home to work commuting (typically during the morning) and again in the analogous work to home commuting (typically during the afternoon), a problem most cities still struggle to solve; (b) A random event, road accidents or city wide events such as a sports match, can cause sporadic traffic jams. While the second point can bring some great insights on how to manage mobility given an external factor or event, it is the first point the allows us to consistently take a snapshot of the daily dynamics of mobility in a city, in order to characterize such a diverse structure as a city, recurrent events are always desirable.
With such a mindset we can consistently describe a factor of the city’s mobility ecosystem on a daily or even weekly basis. To broaden our understanding of the mobility dynamics, using the OD matrices data, given a traffic jam, we can identify from which census tracts of the city people came from and went to.
Given the real time state of traffic, one cannot accurately identify the cause of a traffic jam, but if, for the same location, there is an occurrence of traffic jam in the morning and in the afternoon, and as it is known, commuting is recurrent, so with a daily, weekly, or even monthly overlay, we can start to visualize the typology of these jams and their implications.
The term current can be misleading, as the current state of mobility in the city is not solely described by the real-time state of traffic jams but by its past state as well. In the assumptions made, the recurrence of daily traffic jams can be identified as an overload or bottleneck on the road system caused by the commuting of people, nevertheless, to give the ability to the user to characterize and visualize a traffic jam, as commuting related or not, an encoding of the whole day needs to be present as well.
As one can see in Figure 3, the user has access to the daily state and degree, with a clean color encoding, green for home to work commutes and red for work to home, of traffic jams in the city and is simultaneously able to understand the extent of recurrence of these events. For a given temporal window (in the image set as “Daily”), an algorithm identifies and defines immediately, with a given degree of confidence, each commute as the reoccurrence of a traffic jam in the morning and afternoon in the same location, by analyzing the consistency of origin and destination census tracts between the morning and afternoon throughout the day or week, implicitly it already characterizes the mobility dynamics of a city by defining commuting of people as a daily occurrence through the same location, causing traffic jams. This visualization allows the user, in a very clear and succinct way, to spatially understand how mobility is being conducted, and the degree of severity of the overload in the road system. Allowing zoom in and out operations to clearly see the direction in which mobility is and historically where it has been going. Additionally, by choosing a concrete period and temporal aggregation on the top menu, the user can click the submit button to change the map, treemap and bar chart visualizations as desired.
Dashboard prototype [
By itself, the map is not enough to give an understanding of numerically how many people commute. How do we compare different commutes that are spatially separated? In the following visualizations we will focus on each commute as a bi-daily occurrence of a traffic jam on the same location and its origin and destination census tracts, as identified by our algorithm.
To understand the dimension and difference between different commutes, using the OD matrices we can calculate the total number of people that commuted from their homes to their work (HtW) and from work to their homes (WtH) for each traffic jam, under the assumption that it is caused by commuting. Naturally to guarantee, with a given degree of confidence, an average of the moving window for each type of commuted related jam can be made.
Having this information for the current state of mobility for that temporal window, a visualization can be created to compare different commutes and allow the user to understand the numeric difference of each unique commute and have a clear notion of the current state by comparing them.
It seemed appropriate to choose a treemap visualization [18] as shown in Figure 4, to allow the user not only to understand the number of people commuting but also to visualize the relative difference between them. In order to prevent an overcrowding in the visualization we chose to show only the top five commutes in terms of absolute number of commuters. Intuitively for this problem other types of visualizations could also have achieved the same level of effectiveness as a treemap visualization. For example, a pie chart could relay a better comparison within unique commutes but would not be so successful in displaying the comparison between distinct commutes. Although different choices could be made here, one should always prioritize on how the user should comprehend the data.
Treemap visualization.
Now that a comparison of the number of commuting people between home and work has been made, given its spatial distribution, there is still the need to better understand how the difference in the number of people between the home and work commutes affect mobility. Intuitively, most people might commute to work daily in the same hour, participating in the same jam, but one cannot expect all of them to behave similarly, sharing again the same schedule when going back home. This translates in a consistent numeric difference that can be used to both characterize and differentiate different commutes.
Above in Figure 5, we have created a bar chart to visualize and compare such difference, each bar represents the relative difference of the number of people that commuted from home to work (HtW) by the number of people that commuted from work to home (WtH) for each commute, centered on the zero axis. In other words, the percentage delta of people that participated in a traffic jam in the morning for their morning commute and also participated in a traffic jam, in the same location in the afternoon. Again, to prevent overcrowding of the chart, only the top five highest and lowest ratios were shown. This visualization allows the user to understand how the main commutes in the city are differentiated spatially but also temporally from the morning to the afternoon, providing a new dimension in the comprehension of the city’s dynamics.
Bar chart visualization.
The previous visualizations provide an understanding of the current state of mobility in a city given a temporal window by visualizing where and how commutes are made. Nevertheless, to fully convey the natural change of how people commute throughout each yearly cycle, we need to analyze each individual jam location.
As we can see in Figure 6, by clicking in any specific point of the map, the user can access the full historical values of the amount of people that commuted in that location through the whole year and also, the average weekly hours in which the commute related jam occurred, this allows the user to grasp the existing seasonal trends to better discern the fundamental differences between the morning and afternoon commutes. By following the color encoding used in the map, using the greens for home to work transitions and reds for work to home, we create a cohesion in the dashboard that provides an ease of recognition for the user.
Line chart visualization.
To study the impact of such a prolonged event we first need to frame it temporally, as it is known the Covid-19 pandemic started spreading worldwide approximately in the month of February of 2020 and to the day it is still active. Naturally, a comparison to a period where the pandemic was not active is required, nevertheless due to seasonal trends the comparison needs to come from homologous months from different years.
As we can see in Figure 7, by using dotted lines, we can add the previous year’s “Covid-19 free” information in the same line chart, where we can perfectly distinguish and compare the possible impact in mobility in terms of absolute values and hourly occurrence. The intention in the use of dotted lines in this visualization is to covey the attention of the user immediately, but also to set the previous year as a sort of target or something to be perceived as a goal, reflecting a hope in trying to achieve a “normal” mobility again.
Visualization to offer a year-by-year comparison.
In light of the Covid-19 outbreak and to support a data-driven urban management strategy, the need for data analytics tools is in the forefront of policymaking. In practice, this approach proves to be an interesting path for presenting and exploring shifts in mobility patterns, while being robust enough for answering transversal questions regarding the cities and its dynamics with the ambition of supporting data-driven policy making in pandemic situations.
This chapter presented and discussed dashboard solutions designed to analyze the impact of Covid-19 in mobility and proposed a framework for data visualization in the context of the Smart Cities using dashboard techniques and following a set of clear goals and good practices to reach them. Moreover, a dashboard prototype was proposed for visualizing changes and shifts in the local dynamics given historical data obtained before and after the pandemic outbreak in 2020.
Our findings seem to fit the current literature, as one can see, in Figure 4 the use of a treemap visualization can be highly scalable while providing an efficient use of space in the dashboard itself [18], defining the problem, scope and target audience is essential prior to the development of any visualization [7, 12] and understanding Smart Cities as multilayered entities is indispensable in order to provide any kind of meaningful insights [1, 3], especially when dealing with mobility [11, 16].
Furthermore, the visual components proposed attempt to look at mobility data from multiple perspectives, in line with previous works; for instance, time can be visualized as a continuous dimension in a line chart to represent a historical series, or it could also be visualized as an ordinal variable in a bar chart to represent distributions across days of the week [7]. The proposed components should also allow to compare different points in time and space [7], in order to identify seasonal trends and/or spatial concentration, which could be achieved by line charts, maps and treemaps. The ideas herein discussed and the proposed guidelines are a small contribution to consolidate the application of dashboards in the field of the Smart Cities and, hopefully, this chapter could be used as inspiration for authors and contributors for further development in this field of study.
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Our current training not only generates relatively low number of geriatricians but there also remains a huge need for better staff training and support to provide safe, holistic and dignified care. The cornerstone of modern geriatric medicine is the comprehensive geriatric assessment (CGA). This is defined as multidimensional, interdisciplinary diagnostic process that aims to determine a frail older person’s medical conditions, mental health, functional capability and social circumstances in order to develop a coordinated and integrated plan for treatment, rehabilitation and long-term follow-up [2]. All older people admitted to hospital with an acute medical illness, geriatric syndromes including falls, incontinence, delirium or immobility, unexplained functional dependency or need for rehabilitation warrant CGA. 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Our current training not only generates relatively low number of geriatricians but there also remains a huge need for better staff training and support to provide safe, holistic and dignified care. The cornerstone of modern geriatric medicine is the comprehensive geriatric assessment (CGA). This is defined as multidimensional, interdisciplinary diagnostic process that aims to determine a frail older person’s medical conditions, mental health, functional capability and social circumstances in order to develop a coordinated and integrated plan for treatment, rehabilitation and long-term follow-up [2]. All older people admitted to hospital with an acute medical illness, geriatric syndromes including falls, incontinence, delirium or immobility, unexplained functional dependency or need for rehabilitation warrant CGA. CGA could screen for treatable illnesses, establish the key diagnosis leading to hospital admission and formulate a rational therapeutic plan thus resulting in the improved outcome. This chapter starts with an introduction to the ageing nation and impact of ageing on hospitals. This will be followed by discussing physiological changes of ageing and the various components of multidisciplinary assessment for older people admitted to hospital with an acute illness that could lead to high-level holistic care. It also covers a wide range of issues and challenges which medical team/multidisciplinary teams often come across during routine care of acutely unwell older people. The chapter concludes by a literature review on current evidence on the effectiveness of CGA and recommendations to enhance clinical care.",book:{id:"5314",slug:"challenges-in-elder-care",title:"Challenges in Elder Care",fullTitle:"Challenges in Elder Care"},signatures:"Inderpal Singh",authors:[{id:"183855",title:"Dr.",name:"Inderpal",middleName:null,surname:"Singh",slug:"inderpal-singh",fullName:"Inderpal Singh"}]},{id:"29294",title:"Physical Function in Older People",slug:"physical-function-in-older-people",totalDownloads:5213,totalCrossrefCites:0,totalDimensionsCites:3,abstract:null,book:{id:"1433",slug:"geriatrics",title:"Geriatrics",fullTitle:"Geriatrics"},signatures:"Noran N. Hairi, Tee Guat Hiong, Awang Bulgiba and Izzuna Mudla",authors:[{id:"103729",title:"Dr.",name:"Noran",middleName:null,surname:"Hairi",slug:"noran-hairi",fullName:"Noran Hairi"}]},{id:"71815",title:"Elderly and Polypharmacy: Physiological and Cognitive Changes",slug:"elderly-and-polypharmacy-physiological-and-cognitive-changes",totalDownloads:764,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"Population ageing is one of the most significant social transformations of the twenty-first century. The increase in average life expectancy was a successful challenge achieved in the modern world. However, nowadays a new challenge arises for all society: achieving a better quality of life for increasing people’s life. The comorbidities associated with ageing make elderly prone to polypharmacy. On the other hand, physiological and cognitive changes interfere with drugs’ pharmacodynamics and pharmacokinetics contributing to drug-related problems which have been reported to account for a large percentage of emergency treatment and hospitalizations of older people, increasing the costs with health in the most aged regions. In order to reduce the use of potentially inappropriate medicines in this population, strategies and tools have been developed in recent years to assess the appropriateness medication use in the elderly.",book:{id:"9161",slug:"frailty-in-the-elderly-understanding-and-managing-complexity",title:"Frailty in the Elderly",fullTitle:"Frailty in the Elderly - Understanding and Managing Complexity"},signatures:"Daniela A. Rodrigues, Maria Teresa Herdeiro, Adolfo Figueiras, Paula Coutinho and Fátima Roque",authors:[{id:"29356",title:"Prof.",name:"Adolfo",middleName:null,surname:"Figueiras",slug:"adolfo-figueiras",fullName:"Adolfo Figueiras"},{id:"227508",title:"Prof.",name:"Maria Teresa",middleName:null,surname:"Herdeiro",slug:"maria-teresa-herdeiro",fullName:"Maria Teresa Herdeiro"},{id:"317883",title:"B.Sc.",name:"Daniela",middleName:null,surname:"A. Rodrigues",slug:"daniela-a.-rodrigues",fullName:"Daniela A. Rodrigues"},{id:"317981",title:"Prof.",name:"Fátima",middleName:null,surname:"Roque",slug:"fatima-roque",fullName:"Fátima Roque"},{id:"318105",title:"Dr.",name:"Paula",middleName:null,surname:"Coutinho",slug:"paula-coutinho",fullName:"Paula Coutinho"}]},{id:"72338",title:"The Complexity of Frailty: Psychological Mechanism and Therapeutic Interventions in Old People - A Narrative Review",slug:"the-complexity-of-frailty-psychological-mechanism-and-therapeutic-interventions-in-old-people-a-narr",totalDownloads:610,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Aging is a complex and dynamic process. Senses become less sophisticated and negative life events increase. These factors combined with medical conditions contribute to develop a degenerative functional autonomy of the elderly. This clinical condition is known as frailty. However, there is a difference in the way people live their silver years in terms of happiness and their sense of autonomy. Both being and feeling frail represent two different drives of cognitive representations concerning how the elderly live their lives. In addition, other factors such as cognitive stimulation, assistive technology and physical activity can support frail people to achieve independence. This chapter aims to provide an overview on how the psychological environment may affect frailty, suggesting a possible role of new technology’s solutions and physical activity as therapeutic interventions.",book:{id:"9161",slug:"frailty-in-the-elderly-understanding-and-managing-complexity",title:"Frailty in the Elderly",fullTitle:"Frailty in the Elderly - Understanding and Managing Complexity"},signatures:"Francesca Romana Greco and Grazia D’Onofrio",authors:[{id:"263317",title:"Dr.",name:"Francesca Romana",middleName:null,surname:"Greco",slug:"francesca-romana-greco",fullName:"Francesca Romana Greco"},{id:"272628",title:"Dr.",name:"Grazia",middleName:null,surname:"D'Onofrio",slug:"grazia-d'onofrio",fullName:"Grazia D'Onofrio"}]}],onlineFirstChaptersFilter:{topicId:"182",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:0,limit:8,total:null},allSeries:{pteSeriesList:[],lsSeriesList:[],hsSeriesList:[],sshSeriesList:[],testimonialsList:[]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"May 18th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:9,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null},{id:"27",title:"Multi-Agent Systems",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",isOpenForSubmission:!0,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. He has served as guest editor for a number of special issues of peer-reviewed international journals.",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:17,paginationItems:[{id:"81791",title:"Self-Supervised Contrastive Representation Learning in Computer Vision",doi:"10.5772/intechopen.104785",signatures:"Yalin Bastanlar and Semih Orhan",slug:"self-supervised-contrastive-representation-learning-in-computer-vision",totalDownloads:3,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"79345",title:"Application of Jump Diffusion Models in Insurance Claim Estimation",doi:"10.5772/intechopen.99853",signatures:"Leonard Mushunje, Chiedza Elvina Mashiri, Edina Chandiwana and Maxwell Mashasha",slug:"application-of-jump-diffusion-models-in-insurance-claim-estimation-1",totalDownloads:2,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Data Clustering",coverURL:"https://cdn.intechopen.com/books/images_new/10820.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"81557",title:"Object Tracking Using Adapted Optical Flow",doi:"10.5772/intechopen.102863",signatures:"Ronaldo Ferreira, Joaquim José de Castro Ferreira and António José Ribeiro Neves",slug:"object-tracking-using-adapted-optical-flow",totalDownloads:10,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Information Extraction and Object Tracking in Digital Video",coverURL:"https://cdn.intechopen.com/books/images_new/10652.jpg",subseries:{id:"24",title:"Computer Vision"}}},{id:"81558",title:"Thresholding Image Techniques for Plant Segmentation",doi:"10.5772/intechopen.104587",signatures:"Miguel Ángel Castillo-Martínez, Francisco Javier Gallegos-Funes, Blanca E. Carvajal-Gámez, Guillermo Urriolagoitia-Sosa and Alberto J. Rosales-Silva",slug:"thresholding-image-techniques-for-plant-segmentation",totalDownloads:13,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Information Extraction and Object Tracking in Digital Video",coverURL:"https://cdn.intechopen.com/books/images_new/10652.jpg",subseries:{id:"24",title:"Computer Vision"}}}]},overviewPagePublishedBooks:{paginationCount:9,paginationItems:[{type:"book",id:"7723",title:"Artificial Intelligence",subtitle:"Applications in Medicine and Biology",coverURL:"https://cdn.intechopen.com/books/images_new/7723.jpg",slug:"artificial-intelligence-applications-in-medicine-and-biology",publishedDate:"July 31st 2019",editedByType:"Edited by",bookSignature:"Marco Antonio Aceves-Fernandez",hash:"a3852659e727f95c98c740ed98146011",volumeInSeries:1,fullTitle:"Artificial Intelligence - Applications in Medicine and Biology",editors:[{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}}]},{type:"book",id:"7726",title:"Swarm Intelligence",subtitle:"Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/7726.jpg",slug:"swarm-intelligence-recent-advances-new-perspectives-and-applications",publishedDate:"December 4th 2019",editedByType:"Edited by",bookSignature:"Javier Del Ser, Esther Villar and Eneko Osaba",hash:"e7ea7e74ce7a7a8e5359629e07c68d31",volumeInSeries:2,fullTitle:"Swarm Intelligence - Recent Advances, New Perspectives and Applications",editors:[{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null}]},{type:"book",id:"7656",title:"Fuzzy Logic",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7656.jpg",slug:"fuzzy-logic",publishedDate:"February 5th 2020",editedByType:"Edited by",bookSignature:"Constantin Volosencu",hash:"54f092d4ffe0abf5e4172a80025019bc",volumeInSeries:3,fullTitle:"Fuzzy Logic",editors:[{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. 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