\\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:"6025",leadTitle:null,fullTitle:"Temporomandibular Joint Pathology - Current Approaches and Understanding",title:"Temporomandibular Joint Pathology",subtitle:"Current Approaches and Understanding",reviewType:"peer-reviewed",abstract:"Dental practitioners face a large number of patients seeking help for pain and loss of function in their temporomandibular joint and related structures. This book consists of eight chapters by authors who would like to share their experiences and researches on pathological conditions related to the temporomandibular joint. The chapters mainly focus on disorders, diseases, and entities while shedding light on the diagnostic methods and management modalities.",isbn:"978-953-51-3862-4",printIsbn:"978-953-51-3861-7",pdfIsbn:"978-953-51-4017-7",doi:"10.5772/67019",price:119,priceEur:129,priceUsd:155,slug:"temporomandibular-joint-pathology-current-approaches-and-understanding",numberOfPages:208,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"6663d492aea23855b9fdcf753089981e",bookSignature:"Yusuf Emes, Buket Aybar and Gühan Dergin",publishedDate:"February 28th 2018",coverURL:"https://cdn.intechopen.com/books/images_new/6025.jpg",numberOfDownloads:20747,numberOfWosCitations:5,numberOfCrossrefCitations:11,numberOfCrossrefCitationsByBook:1,numberOfDimensionsCitations:19,numberOfDimensionsCitationsByBook:1,hasAltmetrics:1,numberOfTotalCitations:35,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"November 28th 2016",dateEndSecondStepPublish:"December 19th 2016",dateEndThirdStepPublish:"July 20th 2017",dateEndFourthStepPublish:"August 20th 2017",dateEndFifthStepPublish:"October 20th 2017",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"178414",title:"Prof.",name:"Yusuf",middleName:null,surname:"Emes",slug:"yusuf-emes",fullName:"Yusuf Emes",profilePictureURL:"https://mts.intechopen.com/storage/users/178414/images/6953_n.jpg",biography:"Born in Istanbul in 1974, Dr. Emes graduated from Istanbul University Faculty of Dentistry in 1997 and completed his PhD degree in Istanbul University faculty of Dentistry Department of Oral and Maxillofacial Surgery in 2005. He has papers published in international and national scientific journals, including research articles on implantology, oroantral fistulas, odontogenic cysts, and temporomandibular disorders. Dr. Emes is currently working as a full-time academic staff in Istanbul University faculty of Dentistry Department of Oral and Maxillofacial Surgery.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"3",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Istanbul University",institutionURL:null,country:{name:"Turkey"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:{id:"178412",title:"Associate Prof.",name:"Guhan",middleName:null,surname:"Dergin",slug:"guhan-dergin",fullName:"Guhan Dergin",profilePictureURL:"https://mts.intechopen.com/storage/users/178412/images/6954_n.jpg",biography:"Assoc. Prof. Dr. Gühan Dergin was born in 1973 in Izmit. He graduated from Marmara University Faculty of Dentistry in 1999. He completed his specialty of OMFS surgery in Marmara University Faculty of Dentistry and obtained his PhD degree in 2006. In 2005, he was invited as a visiting doctor in the Oral and Maxillofacial Surgery Department of the University of North Carolina, USA, where he went on a scholarship. Dr. Dergin still continues his academic career as an associate professor in Marmara University Faculty of Dentistry. He has many articles in international and national scientific journals and chapters in books.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Marmara University",institutionURL:null,country:{name:"Turkey"}}},coeditorTwo:{id:"202198",title:"Dr.",name:"Buket",middleName:null,surname:"Aybar",slug:"buket-aybar",fullName:"Buket Aybar",profilePictureURL:"https://mts.intechopen.com/storage/users/202198/images/6955_n.jpg",biography:"Buket Aybar, DDS, PhD, was born in 1971. She graduated from Istanbul University, Faculty of Dentistry, in 1992 and completed her PhD degree on Oral and Maxillofacial Surgery in Istanbul University in 1997.\nDr. Aybar is currently a full-time professor in Istanbul University, Faculty of Dentistry Department of Oral and Maxillofacial Surgery. She has teaching responsibilities in graduate and postgraduate programs. Her clinical practice includes mainly dentoalveolar surgery.\nHer topics of interest are biomaterials science and cell culture studies. She has many articles in international and national scientific journals and chapters in books; she also has participated in several scientific projects supported by Istanbul University Research fund.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"0",institution:null},coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"1397",title:"Arthropathology",slug:"arthropathology"}],chapters:[{id:"59082",title:"Introductory Chapter: Optimizing the Management Outcomes in Patients with Temporomandibular Disorder",doi:"10.5772/intechopen.73537",slug:"introductory-chapter-optimizing-the-management-outcomes-in-patients-with-temporomandibular-disorder",totalDownloads:940,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Buket Aybar, Yusuf Emes and Guhan Dergin",downloadPdfUrl:"/chapter/pdf-download/59082",previewPdfUrl:"/chapter/pdf-preview/59082",authors:[{id:"178414",title:"Prof.",name:"Yusuf",surname:"Emes",slug:"yusuf-emes",fullName:"Yusuf Emes"}],corrections:null},{id:"58412",title:"Myofascial Pain Dysfunction Syndrome: Etiology, Diagnosis, and Treatment",doi:"10.5772/intechopen.72529",slug:"myofascial-pain-dysfunction-syndrome-etiology-diagnosis-and-treatment",totalDownloads:2005,totalCrossrefCites:3,totalDimensionsCites:4,hasAltmetrics:0,abstract:"Myofascial pain dysfunction syndrome (MPDS) is a stomatognathic system disturbance, which consists of pain, jaw movement irregularities, and muscle spasm. Hyperexcitation of peripheral sensory neurons causes a reaction of induction in the motor neuron and then spasms of the masticatory muscles follow. Long-term spasm causes muscular pain and irregular mandibular motion. Pain is the most important inducer and therefore must be managed firstly in order to manage the muscle spasms. Symptomatic treatment approaches may be useful, but after symptom elimination, etiologically based treatment must be provided to the patient. The neurophysiology of the stomatognathic system must be well understood to determine a proper treatment for the MPDS condition. Both symptomatic and etiological treatment methods have been proposed by differing authors as potential solutions for MPDS. Occlusal splints are a commonly used treatment for relieving MPDS symptoms. Alternatively, some forms of occlusal adjustment (not all) have been shown to be an effective, permanent treatment course for myofascial pain dysfunction syndrome. This chapter describes the neural controls over the stomatognathic system and how that system can neurologically promote the MPDS disease state. It then details the computer-guided MPDS occlusal adjustment treatment known as disclusion time reduction that has been shown in many published studies to be a highly effective myofascial pain dysfunction syndrome (MPDS) therapy.",signatures:"Serdar Gözler",downloadPdfUrl:"/chapter/pdf-download/58412",previewPdfUrl:"/chapter/pdf-preview/58412",authors:[{id:"204606",title:"Dr.",name:"Serdar",surname:"Gözler",slug:"serdar-gozler",fullName:"Serdar Gözler"}],corrections:null},{id:"58358",title:"Internal Derangements of the Temporomandibular Joint: Diagnosis and Management",doi:"10.5772/intechopen.72585",slug:"internal-derangements-of-the-temporomandibular-joint-diagnosis-and-management",totalDownloads:3295,totalCrossrefCites:3,totalDimensionsCites:5,hasAltmetrics:1,abstract:"Millions of individuals worldwide suffer from temporomandibular joint (TMJ) disorders and are characterized by pain and joint dysfunction. TMJ internal derangement (ID) is the most frequent type of temporomandibular disorders (TMDs). The ID of TMJ is defined as a joint dysfunction associated with an abnormal disc position. Identification and elimination of the causes of tissue breakdown of the TMJ that lead to ID are the key factors for successful treatment. The common causes for TMJ ID are trauma and parafunctional habits which lead to joint overload and degenerative changes in the articular structures, increased friction, and gradual disc displacement. Local and systemic inflammatory/degenerative arthropathies may also affect TMJ and cause ID. The aim of this chapter is to give comprehensive knowledge about the contemporary perspective of TMJ ID including diagnostic and therapeutic developments and innovations. Clinicians should establish the correct diagnosis and cause of the disease for appropriate management so that patients do not suffer from ineffective treatments. As an innovative development, TMJ replacements with alloplastic joint prosthesis and tissue-engineered structures hold promise for the future of management of TMJ ID.",signatures:"Ufuk Tatli and Vladimir Machon",downloadPdfUrl:"/chapter/pdf-download/58358",previewPdfUrl:"/chapter/pdf-preview/58358",authors:[{id:"203864",title:"Associate Prof.",name:"Ufuk",surname:"Tatli",slug:"ufuk-tatli",fullName:"Ufuk Tatli"},{id:"204401",title:"Dr.",name:"Vladimir",surname:"Machon",slug:"vladimir-machon",fullName:"Vladimir Machon"}],corrections:null},{id:"58657",title:"Osteoarthritis of the Temporomandibular Joint: Clinical and Imagenological Diagnosis, Pathogenic Role of the Immuno- Inflammatory Response, and Immunotherapeutic Strategies Based on T Regulatory Lymphocytes",doi:"10.5772/intechopen.72496",slug:"osteoarthritis-of-the-temporomandibular-joint-clinical-and-imagenological-diagnosis-pathogenic-role-",totalDownloads:2233,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Osteoarthritis is a degenerative disease affecting the TMJ. It is the most common TMJ disorder and shows a higher prevalence in women and older people. TMJ osteoarthritis (TMJ-OA) is characterized by variable degrees of inflammation, destruction of the articular cartilage, and sub-chondral bone resorption. In this context, diverse pro-inflammatory cytokines, chemokines, enzymes, and bone-resorptive associated factors have been considered as possible markers of active TMJ-OA. The molecular balance is determinant not only for initiation and progression, but also for the clinical expression of the disease. Recent advances in the biochemical analysis of synovial fluid from affected patients have provided new insights into the patho-physiology of the TMJ-OA; however, its molecular pathogenesis still remains unclear. Recently, a Th1 and Th17-dominated immune response has been associated with the inflammatory and destructive events characteristic of TMJ-OA and, in particular, the Th17 lymphocyte pathway has a pivotal role in the increased production of RANKL, which is involved in osteoclast activation and subsequent sub-chondral bone resorption. Understanding the TMJ physiology and pathogenesis of the TMJ-OA, together with the key molecular determinants of the TMJ tissue destruction, will enable the development of new chair-side point of care diagnostics and more conservative treatment modalities with minimal complications.",signatures:"Gustavo Monasterio, Francisca Castillo, Daniel Betancur, Arnoldo\nHernández, Guillermo Flores, Walter Díaz, Marcela Hernández and\nRolando Vernal",downloadPdfUrl:"/chapter/pdf-download/58657",previewPdfUrl:"/chapter/pdf-preview/58657",authors:[{id:"92267",title:"Dr.",name:"Marcela",surname:"Hernández",slug:"marcela-hernandez",fullName:"Marcela Hernández"},{id:"96397",title:"Dr.",name:"Rolando",surname:"Vernal",slug:"rolando-vernal",fullName:"Rolando Vernal"},{id:"199490",title:"Dr.",name:"Gustavo",surname:"Monasterio",slug:"gustavo-monasterio",fullName:"Gustavo Monasterio"},{id:"199493",title:"Dr.",name:"Arnoldo",surname:"Hernández",slug:"arnoldo-hernandez",fullName:"Arnoldo Hernández"},{id:"199494",title:"Dr.",name:"Guillermo",surname:"Flores",slug:"guillermo-flores",fullName:"Guillermo Flores"},{id:"199495",title:"Dr.",name:"Walter",surname:"Díaz",slug:"walter-diaz",fullName:"Walter Díaz"},{id:"203984",title:"Dr.",name:"Daniel",surname:"Betancur",slug:"daniel-betancur",fullName:"Daniel Betancur"},{id:"221501",title:"Dr.",name:"Francisca",surname:"Castillo",slug:"francisca-castillo",fullName:"Francisca Castillo"}],corrections:null},{id:"58184",title:"Benign Tumors of Temporomandibular Joint",doi:"10.5772/intechopen.72302",slug:"benign-tumors-of-temporomandibular-joint",totalDownloads:2086,totalCrossrefCites:1,totalDimensionsCites:4,hasAltmetrics:0,abstract:"The temporomandibular joint (TMJ) forms a complex functional system with teeth, bones, connected muscles and ligaments. Any discomfort in any of these structures directly affects the joint. The complaints are mostly pain, malocclusion and swelling. Temporomandibular joint tumors are very uncommon but show symptoms similar to intra-articular disorders that make up most of these disorders. The most common TMJ-specific benign tumors are classified after a brief literature review. Our classification also includes the osteoma of the TMJ, other than World Health Organization’s (WHO) classification of soft tissue and bone tumors. This benign tumor was also included in the classification because of its higher frequency in the literature. The treatment of these neoplasms may be conservative or radical surgery.",signatures:"Mehmet Emre Yurttutan, Ayşegül Tüzüner Öncül and Hakan Alpay\nKarasu",downloadPdfUrl:"/chapter/pdf-download/58184",previewPdfUrl:"/chapter/pdf-preview/58184",authors:[{id:"178706",title:"Dr.",name:"Aysegul",surname:"Tuzuner Oncul",slug:"aysegul-tuzuner-oncul",fullName:"Aysegul Tuzuner Oncul"},{id:"213436",title:"Dr.",name:"Mehmet Emre",surname:"Yurttutan",slug:"mehmet-emre-yurttutan",fullName:"Mehmet Emre Yurttutan"},{id:"213439",title:"Prof.",name:"Hakan Alpay",surname:"Karasu",slug:"hakan-alpay-karasu",fullName:"Hakan Alpay Karasu"}],corrections:null},{id:"59089",title:"JVA, Mastication and Digital Occlusal Analysis in Diagnosis and Treatment of Temporomandibular Disorders",doi:"10.5772/intechopen.72528",slug:"jva-mastication-and-digital-occlusal-analysis-in-diagnosis-and-treatment-of-temporomandibular-disord",totalDownloads:1565,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Temporomandibular joint disorder (TMJ) is a complex and multifactorial functional disorder. Best approach in the treatment of TMJ disorders needs in detail proper diagnostic study. Joint vibration analysis (JVA) device, a new age technology and one of the most important diagnostic tools, is used for detecting intra-articular sound vibrations. Every type of vibration in different frequencies shows us the status of joint. Evaluation can be made after analyzing the results applying to a diagram. Like Combining of the sound vibration diagnostic techniques with other examination methods may be very meaningful in efforts of treating TMJ problems. Another diagnosis method is the evaluation of chewing movements. Best chewing efficiency is the most important purpose of masticatory system. Final product is a very important indicator for the efficiency of the mastication, and chewing pattern. T-Scan digital occlusal analyzing system is another important occlusal diagnostic instrument. Digital occlusal analysis system is currently the most powerful method of TMD clinics for treatment of patients with muscle pain dysfunction syndrome. Digital occlusal analysis system allows us to perform the MPDS treatments, splint and occlusal rehabilitation. The three important diagnostic systems are described in this chapter.",signatures:"Serdar Gözler",downloadPdfUrl:"/chapter/pdf-download/59089",previewPdfUrl:"/chapter/pdf-preview/59089",authors:[{id:"204606",title:"Dr.",name:"Serdar",surname:"Gözler",slug:"serdar-gozler",fullName:"Serdar Gözler"}],corrections:null},{id:"58681",title:"Temporomandibular Joint Pathology and Its Indication in Clinical Orthodontics",doi:"10.5772/intechopen.72651",slug:"temporomandibular-joint-pathology-and-its-indication-in-clinical-orthodontics",totalDownloads:1712,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Temporomandibular joint (TMJ) pathology has been an area of study in dentistry specifically a research interest in clinical orthodontics in which treatment option has been a dilemma for practitioners. Discussion between ‘dos’ and ‘don’ts’ in growth modification has drawn spread however opposite opinions from different schools of thoughts in whether growth modification itself is working. To provide a better illustration of biological process within TMJ, this chapter discussed aspects including overall condylar growth; the histological structure of endochondral bone of condyle; extracellular factors that regulate proliferation, differentiation, hypertrophy, terminal maturation and apoptosis of chondrocytes; and molecular regulation of the entire process. An understanding of the pathology, histology, cellular and molecular events related to the morphology and growth of TMJ forms through reading over this chapter; the emphasis of the mechanotransduction mediators and the influence of mechanical strain on the level of expression of genes were presented in details. Novel studies using virus vector stimulating condylar growth through enhancing angiogenesis within a time limit were discussed; also clinical implications in treatment options in relation to mandibular advancement were briefly compared.",signatures:"Bakr M. Rabie, Jeremy Ho and Qianfeng Li",downloadPdfUrl:"/chapter/pdf-download/58681",previewPdfUrl:"/chapter/pdf-preview/58681",authors:[{id:"217282",title:"Dr.",name:"Abou Bakr Mahmoud",surname:"Rabie",slug:"abou-bakr-mahmoud-rabie",fullName:"Abou Bakr Mahmoud Rabie"},{id:"238962",title:"Dr.",name:"Qianfeng",surname:"Li",slug:"qianfeng-li",fullName:"Qianfeng Li"}],corrections:null},{id:"59286",title:"Surgical Approaches to the Temporomandibular Joint",doi:"10.5772/intechopen.74141",slug:"surgical-approaches-to-the-temporomandibular-joint",totalDownloads:6911,totalCrossrefCites:3,totalDimensionsCites:3,hasAltmetrics:0,abstract:"The temporomandibular joint (TMJ) acts as a sliding hinge between mandible and temporal bone. Disorders of temporomandibular joint are intolerable for the patients in severe cases. Furthermore, surgical treatment of temporomandibular joint problems is a challenge for surgeons in some cases. In that order, it is critical for the surgeon to choose the best surgical approach in treating the temporomandibular joint diseases. There are several surgical approaches in the management of temporomandibular joint problems including some pros and cons. So, in this chapter, we aim to present a comprehensive review of surgical approaches to the temporomandibular joint.",signatures:"Mohammad Esmaeelinejad and Maryam Sohrabi",downloadPdfUrl:"/chapter/pdf-download/59286",previewPdfUrl:"/chapter/pdf-preview/59286",authors:[{id:"172188",title:"Dr.",name:"Mohammad",surname:"Esmaeelinejad",slug:"mohammad-esmaeelinejad",fullName:"Mohammad Esmaeelinejad"},{id:"240723",title:"Dr.",name:"Maryam",surname:"Sohrabi",slug:"maryam-sohrabi",fullName:"Maryam Sohrabi"}],corrections:null}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. 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He is a Chartered Engineer and is a chartered member of both the British Computer Society and the Chartered Institute of Marketing. He has published over 50 refereed journal papers such as Textile Research Journal, Computers in Industry, IEEE Transactions on Engineering Management, Expert Systems with Application and IEEE Transactions on Systems, Man and Cybernetics – Parts A and C and refereed conference papers. 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The materials used for architectural membranes generally consist of a woven fabric coated with a polymeric resin (Seidel & David, 2009). For example, PVC coated polyester fabrics and PTFE coated glass fabrics are commonly used.Membrane structures provide widespan enclosures of great spatial interest and variety require minimal supporting elements of "hard" structure and provide very good overall levels of natural daylight.Membrane structures create various forms. In the architecture and civil engineering area, membrane forms and systems are divided into two categories, namely “pneumatic membrane” and “tensile membrane” shown in figure 1(Saitoh, 2003). The pneumatic membrane such as “BC Place(1983)”
Structural Systems and forms of Membrane structures
(Janberg, 2011a) and “Tokyo Dome (1988)”(Shinkenchiku-Sha Co. Ltd., 1988) is supported by internal pressure. On the other hand, the tensile membrane keeps stabile by form and tensile force of itself. For example, “high point surfaces”, which are called “horn-shaped membrane” in this paper,are pulled to one or more high pointsfrom inside or outside.
A Wind load is the most dominant load for light-weight structures such as the membrane structures.Therefore, verification against wind load is important for membrane structures. The engineer usually use the wind tunnel test and CFD simulation to evaluate the wind load for membrane structures. In recent years, the CFD simulation becomes major with the development of computers. But the wind tunnel test for membrane is sometimesuseful to evaluate the wind pressure, because the membrane structure has complex form.
From this points of view, this paper describes about wind tunnel tests of a membrane roof focusing on the horn-shaped membrane roof.
The horn-shaped membrane roof divides into ‘stand-alone type’ and ‘multi-bay type’as shown in figure 2. The stand-alone type is consisted by one unit horn-shaped membrane, and it is often used as temporally space without wall. On the other hand, the multi-bay type consists several horn units, and it is used as roofs of parking spaces, stands without wall, and as roofs of gymnasium hall with wall. These horn shaped membrane structures are supported by cables, struts, and so on.
In general, there are three types of wind-tunnel test on the membrane roof, namely “Local Pressures Test”, “Area and Overall Wind Loads Tests” and “Aeroelastic Tests” as shown in figure 3 (Cermak & Isyumov, 1998).
According to American Society of Civil Engineers (ASCE), “local pressure tests” use scaled static models instrumented with pressure taps (see figure 3(a)). These tests provide information on the mean and fluctuating local pressures on cladding and roof components. “Area and overall wind loads tests” are tests of wind load on specific tributary areas, using scaled static models and spatial or time averaging of the simultaneously acting local pressures (see figure 3(b)). These tests provide information on mean and fluctuating wind load on particular tributary area due to external or internal pressures, or both. “Local pressure tests” and “area and overall wind loads tests” measure wind pressures and wind forces acting on buildings around buildings. These wind tunnel tests need to consider the model scale depending on wind scale and time scale.
On the other hand, “aeroelastic tests” use dynamically scaled models of buildings and structures (see figure 3(c)). These tests provide information on the wind-induced response of buildings and structures due to all wind-induced force, including those which are experienced by objects that move relative to the wind. In addition, these tests measure the overall mean and dynamic loads and response of buildings and structures, including displacements, rotations and accelerations. These tests have to consider stiffness scale in addition to model scale.This paper focuses on the local pressures tests. The wind local pressure around membrane roof was measured by scaled static models, and then wind pressure coefficients were calculated by dynamic pressure.
In these tests, it is important to model the wind in the wind tunnel in order to obtain wind-effect data representative of full-scale conditions. In general, natural wind around buildings is duplicated using turbulent boundary layer flow which simulates a velocity scale, an aerodynamic roughness length of terrain, a gradient wind height of boundary-layer, and a scale of turbulence. The methods of modeling wind and similarly model are shown in guidelines and building standards of each country.
This paper reports results under a uniform flow in the chapter 4 and 5, because of comparing effects for the model scale, the velocity and etc. as simply as possible.And then,chapter 6 presents the result under a turbulentboundary layer flow.
Examples of the horn-shaped membrane roof(
Three types of the wind tunnel tests for membrane roofs
Wind pressure coefficients of typical building type such as box-type are defined in guidelines and standards in each country, but windpressure coefficients of complicated shapes such as the horn-shaped membrane roof have not been sufficiently reported yet.
The basic studies, which were about the theory andthe analysis method, on the horn-shaped membraneroofwere reported by F. Otto, M. Saitoh et al and alsoshown the wind- pressure coefficients of the horn-shapedmembrane roofunder regulated conditions in several reports and books (Otto, 1969; Saitoh & Kuroki, 1989; Nerdinger, 2005). In the resent years, studies on the numerical simulation against the horn-shaped membrane roof were reported by J. Ma, C. Wang et al(Ma et al., 2007; Wang et al., 2007).Furthermore, dissertation by U. Kaiser indicated windeffects on weak prestressed membranestructure which is 30m horn shaped membrane by aeroelastic models (Kaiser, 2004).
There are many other references on this field. However, the basic date for the wind-force coefficientof the stand-alone and the multi-bay horn-shaped membrane roof has notbeen sufficiently reported yet.
This paper composes nine chapters and three main parts as shown in figure 4. This paper describes three types of test. Before these tests, chapter 2 shows a form of the horn-shaped membrane roof and example of a technique to find this shape. Chapter 3 shows definitions of symbols and calculation formulas on this paper. Chapter 4 and 5 show wind tunnel tests under the uniform flow; stand-alone model tests parameterized model scales and velocity in chapter 4, andmulti-bay models parameterizedthe number of the horn-unit in chapter 5. These tests indicate mean wind pressures around the horn-shaped membrane structures under the uniform flow. Chapter 6 shows wind tunnel tests of the stand-alone model under the turbulent boundary layer flow.In this chapter indicate mean wind pressures and peak wind pressures and comparethese results with the results under the uniform flow.
The composition of this paper
The horn-shaped membrane roofs have several kind of planar shape, namely a circle, a squareand a hexagon based horn-shaped membrane roof. This paper describes about the square based horn-shaped membrane roof. In general, the membrane structure needs to find appropriate forms to resist external force. ‘European Design GuideforTensile Surface’ by TensiNet presents some methods of form-finding for the membrane structures (Forster & Mollaert, 2004). This paper used nonlinear finite element method to find the appropriate form on the square based horn-shaped membrane.
In this paper, the membrane material was defined as low stiffness material (see figure 5). On the other hand, a strut was defined as high stiffness material. A strut was transferred point B from point A in order to get the appropriate form using FEM analysis. A rise-span ratio H/L
Form finding method on the horn-shaped membrane structures
was defined as the ratio of a span L to a height of the horn-shaped roof H, and an appropriate form of H/L=0.2 was obtained by finite element method with geometrical nonlinear in this paper. Additionally, the top of strut was L/10 and there wasn’t a hole on the middle of the horn-shaped roof. The final shape get three-dimensional curved surface.
The wind pressure coefficient was calculated based on The Building Standard Law of Japan (The building Center of Japan, 2004), Recommendations for Load on Buildings2004 (Architectural Institute of Japan, 2004)and ASCE Manuals (Cermak & Isyumov, 1998). Definitions of the symbols in this paper are shown in figure 6. As for the signs of wind pressure coefficient, the positive (+) means positive pressure against the roof and the negative (-) means negative pressure against the roof.
The definitions of symbols in this paper
The wind pressure coefficient is obtained from follows;
in which
in which
Particularly, the mean value of wind pressure coefficient
in which
Additionally,
in which
In this chapter, the authors focus on Reynolds number, i.e. the model scale and the wind velocity, under the uniform flow on the stand-alone model. This study aims to clarify about the relationship between Reynolds number and the wind pressure coefficientsobtained from wind tunnel tests.
Generally, the Reynolds number
in which
Reynolds number
These tests measured local wind pressures on the stand-alone model using the Götingen type wind tunnel as shown in figure 8. The
Main parameters are the model scale and the wind velocity depending on Reynolds number
The six types of model which is open type and enclosed type in eachmodel scale (i.e. 20cmx20cm, 30cmx30cm, and 60cmx60cm), wereprepared for this test as shown in figure 10 and figure 11. These models were made from acrylic plasticand have 21 taps on the 20cmx20cm model and 30cmx30cm model, 39 taps on the 60cmx60cm model.
Götingen type wind tunnel facility in Research Institute of Science and Technology, College of Science and Technology, Nihon University
The wind pressure acting at the particular pressure tap location
Table 1.The parameter of the test
Experimental models; open type and enclosed type
The experimental model; 20cmx20cm model, and 60cmx60cmmodel
Location of Pressure taps; 21 taps on the 20cmx20cm and 30cmx30cm model, and 39 taps on the 60cmx60cm model.
The externalwind pressure coefficients
The result of the enclosed type is shown in figure 14. In this model, the internal pressure coefficients
The windpressure coefficientsdepending on Reynolds number which was calculated according toequation (9) are shown in figure15.This chapter defined a side length
In particular, the results of figure 13 and figure 15 clarified that the wind pressure distributions changed near Re=1.2x105 on the open type. Based on these result, the distribution of the mean wind pressure coefficient, which are Re>1.2x105 and Re<1.2x105, on the open type are shown in figure 16. This distributionillustratedgreat distinctions between Re>1.2x105 and Re<1.2x105 around the tip of the roof. These tests clarified that every test has to choose the appropriated model scale and velocity depending on the test conditions.
The mean value of the external wind pressure coefficient
The mean wind pressure coefficient
Comparing the wind pressure coefficients obtained under each Reynolds number
Contour of the wind pressure coefficient on the open type
In most cases, the horn shaped membrane structure is used as the multi-bay type. The number of horn unit depends on the scale of the building and building uses. This chapter focuses on the number of the horn-unit. This experiment was carried out to clarify about the relationship between the number of the horn-unit and the wind pressure coefficient.
The experiment used same facilities and the measurement method as chapter 4. A model scale of a horn unit was 20cm x 20cm and the maximum number of unit was 5 wide, 7 bays (see figure 17). The measurement was carried out addinghorn unitsfrom n=1 to n=7 in the leeward side and the wind pressureswere measuredwith each case (see figure 17).The pressure measurement taps were set up maximum 104 taps on the 5 wide, 7 bays model roof. These testsmeasured the mean wind pressure under the uniform flow as well as chapter 4. Additional conditions of this test show in table 2.
The experimental model; 5 wide, 7 bay model
Parameterand pressure measuring taps on the multi-bay model
The parameter of the test
The mean wind pressure coefficientswith the velocity 10m/s show in figure 19, becausealmost parameter indicated the same result.
These results clarified that the unit numbers had little influence on the distributions of the wind pressure on each model. However, the value around boundary areas indicated the differentvalue from the value of the inside area. These results provide that the n=5 model is able to estimate the value of n=7 model. Therefore, as an example, the distribution of wind pressure coefficient on the open type (n=5) shows in figure20.But it is necessary to consider other conditions, particularly another wind direction, because these views depend on regulated conditions.
The mean wind pressure coefficient under the uniformed flow with 10m/s
Contour of wind pressure coefficient on the open type(n=5)
In general, structuralengineers use wind pressures obtained from wind tunnel tests or simulations under the turbulentboundary layer flow when they design buildings. This chapter shows the wind tunnel test under the turbulentboundary layer flow in order to confirm the turbulent intensity around the horn shaped membrane roof. Additionally, this result is compared with the results under the uniform flow in chapter 4.
The wind tunnel facility is same as chapter 4. The turbulentboundary layer flow was made by the blocks which aremade fromstyrofoam (see in figure 21 and 22). Two types of flow wereprepared for this test as follows;
Turbulent intensity is 16%, wind velocity is 7.2 m/s at approx. z=150mm, using twenty seven the100x100x100mm blocks.
Turbulent intensity is 25%, wind velocity is5.7 m/s at approx.z=150mm, using twenty seven the100x100x150mm blocks.
The turbulent intensity was calculated as follows,
where
Photo of the facility and the model under the turbulent flow
Outline of wind tunnel facility andlayout of turbulentblocks
The 20cm x 20cm model was used in this test as well as chapter 4 and chapter 5. It was assumed that a model scale was 1: 50, a velocity scale was 1/5 at thefull scale wind speed30m/s. In this case, time scale was 11/125. In this chapter, the velocity pressure to calculate wind pressure coefficients was obtained from the mean velocity at z=150mm. Table 3 shows the experimental conditions. The main parameters are two types of the wind directions and the wind flows and the walls. The models and measurement taps show in figure 23. This test provides the mean wind pressure coefficients and the peak wind pressure coefficients by the equation (5)-(8).
The parameter of the test
Experimental models and measuring points
The distributions of the wind pressure coefficient show in figure 24 and 25.The figure 24 is the result of the open type and the figure 25 is the result of the enclosed type. These figures show half panel of roof based on symmetrical shape.
Generally, peak wind pressures around corner of roofs distinct from distributions of the internal area. However, this test showed that wind pressure coefficients around the middle of roof (i.e. the top of roof) were the maximum negative value. Furthermore, the wind direction influenced to the value of wind pressure coefficients. The peak value of wind pressure coefficients depended on the turbulent intensity, the peak wind pressure coefficients of Iz=25% exceeded the value of Iz=16%.
The mean wind pressure coefficient, max./min. peak wind pressure coefficient at line A is shown in figure26 and 27. In addition to these results, the mean wind pressure coefficients with
As for the open type, the mean wind pressure coefficients under the turbulent flow indicated almost the same as the mean wind pressure coefficient under the uniform flow. On the other hand, as for the enclosed type, the mean wind pressure coefficients under Iz=25% and it under the uniform flow illustrated the different value.
Contour of the wind pressure coefficient on the open model; comparison of turbulent intensity 16% (upper part) with 25% (lower part)
Contour of the wind pressure coefficient on the enclosed model; comparison of turbulent intensity 16% (upper part) with 25% (lower part)
Comparison of mean wind pressure coefficient with peak wind pressure coefficient on the open type
Comparison of mean wind pressure coefficient with peak wind pressure coefficient on the enclosed type
Figure 28 and 29 show the comparison of mean wind pressure coefficients with peak wind force coefficients on the open type at the measuring point 01, 04, 15 and 21.
The open type and the enclosed type show the same tendency at each measuring point.
The measurement point 01 indicated that there isgreat distinction between the maximum peak wind pressure coefficient
Comparison of mean wind pressure coefficients with peak wind force coefficients on the open type at the measuring point 01, 04, 15 and 21
Comparison of mean wind pressure coefficients with peak wind force coefficients on the enclosedtype at the measuring point 01, 04, 15 and 21
In this paper,thecharacteristics of the wind pressure coefficients on the horn-shaped membrane roof were presentedby the windtunnel tests. Particularly, the followings are clarified that;
The wind pressure coefficients of the stand-alone model depended on the model scale and the wind speed.
The value of the turbulent intensity affected on the value of the wind pressure coefficient, particularly at thetop of the roof.
As for the multi-bay model, the increasing number of horn unit had no effect on the distributions of the wind pressure coefficients except for the boundary area.
Furthermore, the representativedistributions of the wind pressure coefficient were shown on each parameter.
This work was supported byJapan Society for the Promotion of Science, Grant-in-Aid forJSPS Fellows, KAKENHI22・7895. All of tests were carried out on “Research Institute of Science and Technology, College of Science and Technology, Nihon University”.I have had the support of Takanori Fukuda, Yamashita Sekkei, Inc., Ayu Matsuda, Graduate School of Science and Technology,Nihon university for the experiments.
The central nervous system controls autonomic function in several areas. These areas are interconnected and then distributed throughout the neuroaxis. The area is called the central autonomous network (CAN); they control many other functions, of which the tasks of arousal and respiration are included [1]. One of the main outputs of this integrated network is mediated by preganglionic sympathetic and parasympathetic nerves. Hierarchically, the central autonomous control area has been arranged. The delivery of interoceptive information to the forebrain and the mediation of the cardiovascular, respiratory, gastrointestinal, and micturition reflex systems are regulated by the medullary and lower pons areas. The solitary tract nucleus (NTS), the reticular formation of the rostral ventrolateral medulla (VLM), rostral ventromedial medulla (RVMM), including the caudal raphe nucleus, medullary respiratory group, parabrachial nucleus (PB), and pelvic organ stimulation center (Barrington Nucleus) belong to this area [1, 2].
Autonomic control by modulating pain, response to stress, behavioral stimuli, and motor responses is integrated by areas in the upper pons and midbrain. These areas include the periaqueductal gray (PAG), the pedunculopontine tegmental nucleus/ pedunculopontine nucleus (PPT/PPN), and the locus coeruleus (LC) [3]. The hypothalamus takes over the generators of integrated autonomic, endocrine, and behavioral response patterns. This is done to ensure homeostasis and adaptation of the body to the environment. Hypothalamic autonomic output mainly comes from the paraventricular nucleus (PVH), dorsomedial nucleus (DMH), and lateral hypothalamic regions, including the orexin-synthesizing group of neurons (Orx, also known as hypocretin, Hcrt). The midcingulate cortex, anterior insular cortex, and amygdala are core areas of the telencephalon that control autonomic functions. Although the functional anatomy of the central control of autonomic function has been best characterized in experimental animals, several functional neuroimaging studies show that many of the same areas are activated during autonomic responses in humans [3, 4].
Autonomic functions are controlled by areas of the brain whose input is received and integrated from four main sources: interoceptive, humoral, limbic, and circadian. Spinal afferents relay information about interoceptive input from visceral, pain, and thermal receptors via ascending projections to lamina I of the dorsal horn or via cranial nerve afferents relayed in the NTS. The central autonomic regions, directly or indirectly, are reached by humoral signals from blood (such as glucose or cytokine levels) or cerebrospinal fluid (CSF, such as pH) via the circumventricular sensory organs. It is also the main neurotransmitter (sometimes along with the inhibitory amino acid glycine) of the circuits that control respiration and the sleep-wake cycle [5]. Autonomic, respiratory, and arousal circuits are modulated in state-dependent function by cholinergic, monoaminergic, and peptidergic influences from the brainstem, basal forebrain, hypothalamus, and local interactions mediated by local interactions by nitric oxide (NO), purines, endocannabinoids, and other signals [5, 6].
Sympathetic neurons and parasympathetic preganglionic neurons are the final effectors of the control center for autonomic function and are cholinergic. These neurons stimulate the excitatory signal of autonomic ganglia and enteric neurons through ganglion-type nicotinic receptors. Sympathetic preganglionic neurons are in the thoracolumbar spinal cord in segments T1 to L2, primarily in lamina VII, which forms the intermediolateral column (IML) and forms separate functional units that are selectively activated in response to different stimuli [5]. Sympathetic output is critical for maintaining blood pressure, local regulation of blood flow, thermoregulation, and response to exercise and internal or external stressors [5, 6]. Preganglionic sympathetic axons terminate in the paravertebral, prevertebral, terminal ganglia, and the adrenal medulla [6]. Norepinephrine is the main neurotransmitter in postganglionic sympathetic neurons. Except for the postganglionic sympathetic nerves, which innervate the sweat glands, they are cholinergic nerves and vasodilators in muscles and coronary arteries. From a functional point of view, the parasympathetic output can be further subdivided into outputs to cranial effectors via cranial nerves III, VII, and IX, output to the thoracic and abdominal viscera mediated by the vagus nerve (cranial nerve X), and outputs from the pelvic organs (bladder, rectum, and sexual organs) from sacral preganglionic neurons [4, 6]. Organ-specific reflexes are mediated by sympathetic output. Acetylcholine is the main neurotransmitter of the most parasympathetic ganglion and enteric nervous system (ENS) neurons. Noncholinergic neurons also mediate parasympathetic output, releasing NO and vasoactive intestinal polypeptide (VIP) [6].
Two conventionally divided subtypes of the autonomic nervous system (ANS), the sympathetic and parasympathetic nervous systems, are defined as peripheral efferent fibers. Recent studies have revealed the presence of general visceral afferent fibers. The autonomic innervation of the larynx had been veiled; however, recent studies have identified the autonomic nerve fibers in the larynx and illuminated the distribution of autonomic innervation [5, 6].
The postganglionic neurons of the laryngeal sympathetic nervous system have their cell body mainly in the superior cervical ganglion. The preganglionic neurons originate in the gray matter of the upper thoracic spinal cord. Sympathetic innervation of the larynx had been considered to be innervated along with superior or inferior laryngeal arteries and veins [6]. However, study by Hisa
Many noradrenergic nerve fibers are contained in the superior laryngeal nerve and the recurrent laryngeal nerve. The supraglottic and subglottic submucosal glands received the noradrenergic nerve fibers from the internal branch of the superior laryngeal nerve and the recurrent laryngeal nerve, respectively [7]. The external branch of superior laryngeal nerve supplies noradrenergic fibers to the cricothyroid muscle, while other intrinsic muscles received noradrenergic fibers from the internal branch of the superior laryngeal nerve and the recurrent laryngeal nerve. The noradrenergic nerve fibers in the superior laryngeal nerve originated from the superior cervical ganglion. Noradrenergic nerve fibers are contained in the recurrent laryngeal nerve. Noradrenergic nerve fibers originate from the middle cervical ganglion and superior cervical ganglion via the vagus nerve [7, 9].
The parasympathetic nervous system plays a major role in the motor control of mucus secretion in the larynx. The cell body of the postganglionic neuron is present in the intralaryngeal ganglion [9]. As Yoshida
Heart rate (HR) is controlled by the autonomic nervous system. Changes in sympathetic and parasympathetic nervous system activity result in beat-by-beat variations in heart rate; therefore, these variations reflect autonomic nervous system activity. Heart rate variability (HRV) is pathological, like ischemic heart disease, and decreased variability predicts poorer outcomes. Heart rate variability (HRV) is the result of the interaction between the autonomic nervous system (ANS) and sinoatrial node (SAN) activity; experts then assume that HRV is a surrogate marker for autonomic nerve dysfunction [11]. Heart rate variability (HRV) is the fluctuation in the time interval between adjacent heartbeats. HRV is thought to reflect the heart’s ability to adapt to changing circumstances by detecting and rapidly responding to unpredictable stimuli. HRV measures neurocardiac function produced by heart-brain interactions and a dynamic nonlinear autonomic nervous system activity. HRV is an emergent response from interconnected regulatory systems working at various time scales that aids individuals in adapting to environmental and psychological stresses. Autonomic balance, blood pressure, gas exchange, intestinal motility, heart, rhythm, and vascular tone are all regulated by HRV (which refers to the diameter of blood vessels that regulate blood pressure) [11, 12, 13].
A healthy heart is not a metronome. Healthy heart oscillations are complex and nonlinear. The nonlinear system variability provides the flexibility to quickly adapt to an uncertain and changing environment. Optimal HRV status is always associated with health and self-regulation capacity, as well as adaptability or resilience of an individual. Higher levels of HRV, mediated by the vagal nerve at rest, were strongly associated with the performance of executive functions such as attention and emotional processing by the prefrontal cortex. The processing of afferent information by the intrinsic cardiac nervous system can modulate frontocortical activity and influence human executive and cognitive functions at higher levels [11].
HRV analysis is one of the modalities that can be used to assess overall cardiac health, especially with regard to the state of the autonomic nervous system, which is responsible for regulating heart activity and rhythm. HRV refers to the variation of the pulse interval or is related to the response to instantaneous changes in heart rate. Normal variability in heart rate is modulated by the autonomic nervous regulation of the heart and circulatory system. The balance mechanism of the sympathetic nervous system and the parasympathetic nervous system branch of the autonomic nervous system then control the heart rate. Increased sympathetic or reduced parasympathetic activity will cause accelerated cardiac activity; conversely, low sympathetic activity or high parasympathetic activity can cause cardiac deceleration. The degree of variability in heart rate can provide information about the function of neural control of heart rate and the ability of the heart to respond to changing conditions [11, 12, 13].
The classic measurement of HRV can be calculated from the electrocardiogram (ECG) i.e., at R-R intervals and consensus guidelines regarding appropriate indicators are available. Arroyo-Carmona
HRV can be measured by pulse photoplethysmography (PPG) method with finger plethysmogram (FPG). Measurement only takes about 20 minutes. The research of Lu
Vagal nerve is the longest nerve of the autonomic nervous system and is one of the most important nerves in the body. Altered vagal nerve activity caused by impaired autonomic regulation was thought to be responsible for several clinical entities related to laryngology diseases, such as laryngopharyngeal reflux (LPR), sleep-disordered breathing (SDB), chronic cough (CC), and vocal cord dysfunction (VCD) [15].
Esophageal sphincter and gastrointestinal tract are innervated by the vagal nerve; therefore, deteriorated vagal nerve function may be an important factor in LPR regarding the incompetence of esophageal sphincter. Chronic inflammation in the larynx is also thought to be responsible in the occurrence of vagal neuropathy, a condition where laryngeal mucosa is in the hyposensitive and hypersensitive state simultaneously. This mechanism is thought to contribute in the pathogenesis of CC and VCD. Since CAN also plays an important role in regulating sleep-wake cycle, it is known that hypoxia and apnea during sleep will alter the neural modulation in the CAN through some neurotransmitters. These theories have supported the evidence on where autonomic nerve dysfunction could contribute in several laryngology diseases and SDB [1, 9, 15].
LPR is an inflammatory condition of the upper gastrointestinal tract associated with the direct and indirect effects of the retrograde flow of gastroduodenal contents, which can cause morphological changes in the upper aerodigestive tract. LPR causes many laryngeal diseases. Reflux laryngitis, subglottic stenosis, granulomas, laryngeal carcinoma, contact ulcers, and vocal cord nodules are caused by LPR. Because the signs and symptoms of LPR are nonspecific and may be manifestations of other etiologies, e.g., infection, voice abuse, allergies, smoking, inhalation of irritants, alcoholism, and nonpathological changes, patients with LPR may experience prolonged and generalized suffering if their physician is unable to make a diagnosis [16, 17].
Coughing, hoarseness, and globus pharyngeus (a lump sensation in the throat) are the most prevalent symptoms. Hoarseness is a symptom that usually starts in the morning and improves over the day. Belafsky
Belafsky
LPR and gastroesophageal reflux disease (GERD) are considered as a continuum of similar basic pathophysiological mechanisms with some overlapping symptoms. The long-standing controversial differences between the two diseases still exist today. Most patients with throat complaints related to LPR deny the classic symptoms of GERD, especially heartburn. On the other hand, many LPR patients report no endoscopic findings of esophagitis, and the severity of esophagitis based on endoscopic examination is not related to the level of symptoms and signs of LPR. LPR and GERD are disease entities that are both caused by the retrograde flow of gastric contents, but the pathogenesis of these two conditions is different even though they are interrelated. The lower esophageal sphincter (LES) and gastrointestinal tract are innervated by the vagal nerve, and the pathogenesis of GERD itself mainly involves the presence of lesions in LES. According to research, the vagal nerve regulates the parasympathetic regulation of the gastrointestinal system. The malfunction of the LES and the transiently increased relaxation of the lower esophageal sphincter seen in GERD, which results in an increased amount of gastric acid going back into the esophagus, appear to be caused by decreased vagal nerve activity induced by inadequate autonomic regulation [18, 20, 21].
It is also known that there is a relationship between gastrointestinal symptoms and the incidence of cardiac dysrhythmias, as one of the disorders of the autonomic system in GERD patients. This phenomenon has been described as a gastrocardiac syndrome. The severity of esophageal inflammation is not related to the dysfunction of the autonomic nervous system itself, given that the presence of vagal dysfunction has been observed in those with or without severe esophageal inflammation. Several studies have suggested that this parasympathetic dysfunction is not only a consequence of esophageal inflammation, but also a major factor in the etiopathogenesis of GERD. Disturbances in autonomic nervous system activity affect the temporary contraction and relaxation of LES, which then causes GERD and affects its severity [15, 16, 22].
Decreased vagal nerve activity, caused by impaired autonomic regulation, appears to be responsible for the dysfunction of LES and the increased transient lower esophageal sphincter relaxation (TLESR) seen in GERD, which results in the increased volume of gastric acid reflux to the esophagus. The exact stimulus and mechanism underlying TLESR are still debatable, although it is currently thought that TLESR and experimentally induced relaxation of the LES are controlled by neural feedback involving the vagal nerve. The TLESR is triggered by the nerve stimulation of the pharynx, and the relaxation of the LES is triggered by the stimulation of the superior laryngeal and vagal nerves. In addition, gastric distention can also trigger TLESR, but is then inhibited or controlled by vagal efferent and vagal afferent pathways. Most of the sensory neurons that innervate the LES are integrated in the vagal nodular ganglion. There are two things to note before concluding that TLESR is mediated by the vagal pathway. The first is related to vagal efferent fibers that modulate the occurrence of TLESR and the relaxation of the LES; it is still not known whether these two processes are mediated by the same fibers. Second, nonvagal pathways also contribute to the control of the LES. Experimental studies in experimental animals have shown that there is a contribution from spinal afferent innervation in cats, and the relaxation of the LES has also been shown to involve the vagospinal pathway in ferrets. In general, the published literature is consistent with the motion that LES regulation is primarily based on vagal afferent - vagal efferent (vagovagal) reflex mechanisms [15, 16].
In 1980, Heatley
The study of Wang
Wang
LPR is an inflammatory condition in the upper gastrointestinal tract associated with the direct and indirect effects of exposure to reflux of gastroduodenal contents and can cause morphological changes in the upper aerodigestive tract. The etiology of this disease is multifactorial, the diagnosis is still a challenge in itself, and the pathogenesis aspect has not been conclusively explained. This has an impact on the management of patients and the burden of health financing. Autonomic nerve dysfunction is thought to play a role in the occurrence of LPR. It is known that decreased vagal nerve activity caused by autonomic dysregulation is responsible for GERD, but whether the same pathomechanism associated with autonomic dysfunction occurs in LPR requires further research [25, 27].
Obstructive sleep apnea (OSA) is characterized by an episodic collapse of the upper airway during sleep, resulting in the periodic reduction or pause in ventilation and hypoxia, hypercapnia, or awakening from sleep. The prevalence in the general population is estimated to be 3% in women and 10% in men with ages ranging from 30 to 49 years [28, 29]. Overnight polysomnography is required to document the frequency of respiratory events, apnea, and hypopnea during sleep in OSA diagnosis. Obstructive apnea is the complete (>90%) or nearly complete cessation of airflow for more than 10 seconds during sleep despite ventilation efforts. Hypopnea is a decrease in airflow of at least 30% followed by a decrease in oxygen saturation of at least 3% or awakening from sleep. The apnea-hypopnea index (AHI) was defined as the number of apneas and hypopneas per hour of sleep. OSA criteria are the occurrence of AHI at least five events per hour. Therefore, traditionally, AHI is categorized based on the number of events per hour. AHI in the mild category is 5–15 AHI events per hour, the moderate category means 16–30 events per hour, while the severe category is more than 30 events per hour [28, 29, 30, 31].
Events in which 15 or more AHIs per hour were associated with a decrease in psychomotor speed are equivalent to 5 years of aging. The higher the AHI, the lower the subjective quality of life. Untreated OSA triples the risk of motor accidents compared to the general population. Most importantly, OSA was associated with an increased risk of cardiovascular disease, particularly stroke, hypertension, heart failure, and coronary artery disease, even after adjustment for body mass index (BMI) and other risk factors. In addition, OSA patients also tend to increase the risk of heart arrhythmias, including atrioventricular block, ventricular tachycardia, and sinus bradycardia [29, 30, 31].
In healthy individuals, hypoxia (i.e., decreased oxygen levels with an arterial pO2 of less than 60 mmHg) causes chemoreceptor activation and triggers tachycardia and an increase in blood pressure. Hypoxia and hypercapnia increase the incidence of hyperventilation (resulting in an increased distribution of oxygen to the peripheral blood), and increased sympathetic efferent activity resulting in vasoconstriction to redistribute oxygenated blood flow. Baroreflex activation in healthy individuals eliminates the increase (reduction) in sympathetic activity caused by hypoxia, which can lead to vagal activation and bradycardia [29, 32, 33].
Convergent evidence obtained from studies with neuromuscular sympathetic nerve activity, plasma catecholamine levels, and analyses of heart rate variability suggests that in patients with OSA, hypoxia and apnea trigger a cascade of excitability that results in an acute elevation of efferent sympathetic activity during sleep when maintained over a prolonged period of time. Over time, it can induce the chronic sustained elevation of the sympathetic outflow regulatory point during wakefulness. This has implications for a higher risk of chronic hypertension, coronary artery disease, and cerebrovascular disease. Excessive sympathetic outflow, in turn, causes baroreflex-mediated cardiovagal efferent activity and bradycardia, atrioventricular block, and ventricular tachycardia, potentially resulting in sudden cardiac death. The incidence of arousal during obstructive apnea is associated with sleep fragmentation and further sympathetic efferent activity, leading to peripheral vasoconstriction and sudden increases in systolic and diastolic blood pressure and heart rate [ 29, 32, 33].
Upper airway collapse during sleep resulting in obstructive apnea causes changes in intrathoracic pressure resulting in myocardial stretching of the heart chambers and changes in the transmural pressure gradient, particularly affecting the atria. It can also cause atrial fibrillation and other arrhythmias. In addition to hypoxia and apnea, other mechanisms may be associated with sympathetic efferent overactivity that develops in OSA patients. Obesity, apart from mechanically obstructing the airway and causing OSA, is also responsible for increasing sympathetic afferent activity through mechanisms of leptin, insulin, angiotensin, and cytokines. On the other hand, many OSA patients are not obese. Studies with animal models have confirmed carotid chemoreceptor hypersensitivity due to intermittent hypoxia that contributes to the pathogenesis of OSA in humans. Overactivation of the nucleus in the CNS induces neural changes that increase excitatory impulses to the rostral ventrolateral medulla and maintain high sympathetic tone independently of peripheral sensory signals [32, 33, 34].
During sleep, the frequency of TLESR decreases because the stimulus is thought to be associated with gastric distension. During a person’s sleep, there is no eating or chewing process, resulting in a reduction in saliva production and a decrease in neuromuscular coordination activity in the swallowing process; this will have implications for the lengthening of the esophageal clearance so that there will be a longer contact between the irritant refluxate and the esophageal mucosa (prolonged contact). This phenomenon then underlies a new entity called sleep-related GERD. Although the frequency of TLESR decreases during sleep, transient relaxation has been observed to occur during cortical arousals in patients with sleep-disordered breathing (SDB). These findings also corroborate the results of Gottesmann’s study regarding the association of sleep disorders with the incidence of autonomic dysfunction through the modulation of the neurotransmitter gamma aminobutyric acid (GABA). Gottesmann found that TLESR is vagal mediated and can be inhibited by GABA-b. Lang
This EDR consists of several subtypes of pathways that can be evoked through pressure inflation-related stimuli (slow air and rapid air stimulation) instead of volume on mechanoreceptors in the mucous or muscular layers of the pharynx, larynx, and esophagus. In the slow air distention pathway, a secondary peristaltic reflex (2P) will occur, which then stimulates the esophago-UES contraction reflex (EUCR); this pathway will certainly play a role in preventing reflux episodes from occurring. Meanwhile, through the rapid air distention pathway, four other reflex pathways [esophago-UES relaxation reflex (EUSR), esophago-glottal closure reflex (EGCR), esophago-esophageal contraction reflex (EECR), and esophago-hyoid distraction reflex (EHDR)] will be activated and strongly suspected to play a role in the occurrence of belching. Lang
Sleep disturbances in GERD patients have been shown to induce changes in visceral perception and pain threshold. This investigation showed that in GERD patients with sleep disturbances documented by actigraphy, acid-infusion-induced chest pain was markedly exacerbated after three nights of sleep deprivation. These functions are modulated by afferent branches of the vagus nerve. Gottesmann also found that low levels of GABA in the CNS will affect a person’s sleep quality. This would have implications for decreasing slow waved sleep and increasing paradoxical sleep (fragmentation and arousals) [35]. These observations prompted Chen and Orr to conduct a study to test the hypothesis that changes in autonomic function play a role in the pathogenesis of GERD. They achieved it by using spectral analysis of heart rate variability during their study’s esophageal infusion of 0.1 N hydrochloric acid. This study proves that the infusion of water and acid can cause a decrease in vagal tone in GERD patients compared to normal [36, 37, 38].
Cough is the most common complaint of patient admitting to hospital. In the United States, as many as 27–30 million cases of cough are found in primary care each year [39]. Chronic cough is estimated to occur in 10–20% of the general population, and an important cause of morbidity in 3–40% of the population [39, 40]. The coughing process consists of a complex process; there are: (1) afferent pathways: sensory nerve fibers (branches of the vagus nerve) located in the ciliated epithelium of the upper airway; (2) central pathway (cough center): a central coordinating region for coughing that located in the upper brain stem and pons; and (3) efferent pathway: stimuli from the cough center travel to the diaphragm, abdominal wall, and muscles via the vagus, phrenic, and spinal motor nerves. The nucleus retroambigualis of the phrenic and spinal motor nerves transmits these stimuli to the inspiratory and expiratory muscles, while the ambiguous nucleus of the laryngeal branches of the vagus nerve transmits to the larynx [40]. Coughing is a physiological reaction of the body that can produce intrathoracic pressure up to 300 mmHg and particle velocities of up to 800 kilometers/hour. While these pressures and velocities are important on mucus clearance, they are also responsible for many of the complications such as exhaustion, insomnia, headache, dizziness, musculoskeletal pain, hoarseness, excessive perspiration, urinary and fecal incontinence, to rib fractures [41]. Based on cough duration, it is classified into three subtypes: acute (less than 3 weeks, usually due to viral upper respiratory tract infection), subacute (3–8 weeks), and chronic (more than 8 weeks) [39, 40]. Chronic cough is often associated with smoking. Chronic smokers are three times more likely to have a chronic cough than nonsmokers [41]. Chronic coughs are more difficult to diagnose and require an examination by a specialist for further evaluation.
Sensory neuropathy or autonomic dysfunction of the laryngeal branch of the vagus nerve can also lead a chronic cough manifestation. The autonomic dysfunction of the vagus nerve puts the laryngeal mucosa in a hyposensitive and hypersensitive state. The most common cause of this symptom is laryngopharyngeal reflux (LPR) [42]. Another etiology of neuropathy is viral infection, especially in the upper respiratory tract. However, it is very difficult for the clinician to determine the etiology because of the atypical clinical symptoms and limited diagnostic modalities. Cough can be mediated by the detection of irritant stimuli in the airway by vagal sensory nerve fibers leading to cough induction via the brainstem without any conscious control or regulation. In neurogenic cough, there was an increase of cough reflex at brainstem level or central sensitization [39, 43].
Because of its neurogenic pain-like characteristic, some of the neuromodulator treatments were considered as a potential therapeutic option for neuropathy cough therapy. Neuromodulator therapy such as gabapentin, pregabalin, and amitriptyline, along with other agents such as baclofen and tramadol [44]. The study by Lee and Woo [45] examined 28 patients with suspected recurrent/superior laryngeal nerve neuropathy. All patients were given gabapentin therapy, with an initial dose of 100 mg/day, which then gradually increased to a maximum of 900 mg/day for 4 weeks. Overall, 68% of patient showed improvement of cough complaints and sensory neuropathy after therapy, especially in the group with clear signs of motor neuropathy.
Chronic cough due to post viral vagal neuropathy is one of the conditions that become the differential diagnosis in cases with unclear etiology. This type of cough is included in the neurogenic cough and is one of the symptoms of laryngeal hypersensitivity syndrome. This theory was originally stated by Morrison
Paradoxical vocal cord movement (PVCM) is a laryngeal disorder, an inappropriate adduction of the vocal cords during inhalation and sometimes exhalation that affects respiratory function and serves as a mimicker of asthma. Vocal cord dysfunction can be difficult to treat as the condition is often underpredicted and misdiagnosed as asthma or other airway disorder and causing inappropriate treatment [46].
The vocal cords normally open (abduction) into a V opening, called the glottic chink during inspiration and close (adduction) into a narrower V shape during expiration. The contraction of the posterior cricoarytenoid muscle allows the outward rotation of the arytenoid on the cricoid cartilage opening the airway during inspiration. Passive relaxation of the posterior cricoarytenoid muscle during expiration, causing adduction of the vocal cords and close the laryngeal airway, with thyroarytenoid muscle movement supports and provides positive pressure at the end of expiration and prevents bronchial collapse [46, 47], while the lateral cricoarytenoid muscle allows inward rotation of the arytenoid on the cricoid cartilage, closing the laryngeal airway during deglutition, vocalization, and expiration.
The term of PVCM is laryngeal dyskinesia when there is adduction of the vocal cords during inspiration, thereby restricting the airway opening leading to episodic dyspnoea, wheezing and/or stridor, so that it is usually mistaken for asthma. Direct visualization by using laryngoscopy of the vocal cords while the patient is having symptoms is the gold standard for diagnosing PVCM [46]. The etiology of PVCM is unclear but has been hypothesized triggered by a psychological, neurological, or physiological component. Laryngopharyngeal reflux, GERD, croup disease, or exposure to toxic inhalants were suspected as PVCM triggers [47]. In a study by George
PVCM is defined as voice disorder in the absence of organic pathology and suspected have association with autonomic nervous system (ANS) function. Study of Helou
A study of Morrison
The LAR is also called the glottal closure reflex, which is a protective mechanism of the larynx to prevent material entering the upper respiratory system. The muscle that plays a role in this mechanism is the thyroarytenoid muscle, which responds to mechanical stimuli and chemical irritants in the laryngeal mucosa. LAR is mediated by the brain stem, which is an involuntary reflex innervated by the internal branch of the superior laryngeal nerve as an afferent and the recurrent laryngeal nerve as an efferent component [51]. In patients with LAR disorder, laryngeal hypersensitivity, chronic cough, and vocal cord dysfunction also might be found [43].
Episodes of PCVM can be triggered by the irritation of the laryngeal mucosa, as in tobacco abuse, allergic laryngitis, viral illness, and untreated sleep apnea, making treatment more difficult. Irritation of the vocal cords can be directly caused by rhinosinusitis and the resulting postnasal drip. However, inflammation can also occur indirectly due to the release of inflammatory mediators [47]. Patients with PVCM usually present with shortness of breath (stridor or wheezing) that appears suddenly and worsens rapidly to apnea and aphonia. Complaints appear for a few seconds but can continue for several minutes before disappearing. Attacks can occur at any time, even during sleep. Complaints of wheezing are usually more common during inspiration than expiration [46, 47].
In acute attacks, patients with PVCM can show signs such as upper airway obstruction, namely shortness of breath, stridor, respiratory muscle retraction, difficulty in speaking, and anxiety and even loss of consciousness. Some typical symptoms such as a feeling of suffocation in the neck or throat, more difficult to inhale than exhale, partial response or no response to inhalation [47]. At the time of an acute attack, patients with PVCM may show signs such as upper airway obstruction, namely shortness of breath, stridor, respiratory muscle retraction, difficulty in speaking, and anxiety and even loss of consciousness [52]. Auscultation should be performed on the neck and lungs to exclude lower respiratory disorders, i.e., asthma and other pulmonary diseases. On auscultation of the neck, wheezing or stridor will be found, especially during inspiration [53].
The diagnosis of PVCM requires flexible fiber-optic laryngoscopy as the gold standard, and vocal cord movement is observed when breathing. Typical findings in PVCM are paradoxical movement of the vocal cords, adduction on inspiration, and narrowing of the glottis during acute attacks. Complete adduction of the vocal cords during inspiration with or without formation of a small posterior diamond shaped, known as posterior chink, is the pathognomonic of PVCM. These findings may also be present during expiration [47, 53]. The differential diagnosis of PVCM is laryngeal edema, vocal cord paresis, laryngeal or tracheal neoplasms, subglottic stenosis, aspiration of foreign bodies, laryngomalacia or tracheomalacia, laryngeal granulomas, and laryngeal spasm [54].
Management of PVCM requires a multidisciplinary approach. Mentally support by calming the patient or reassurance can reduce symptoms significantly. The patient is directed to inhale slowly through the nose and exhale through the mouth [46, 55]. There is no standard pharmacologic management of PVCM besides that used to control comorbid conditions. Medical therapy such as benzodiazepines can also be given to patients with PVCM who have an acute attack. The management of chronic PVCM through breathing exercises, supportive counseling, can be effective. Laryngeal control therapy (LCT) given by a speech pathologist can reduce symptoms in the long term [55]. Proton pump inhibitor therapy and lifestyle modifications can also be given to patients with PVCM associated with an irritated larynx due to gastric acid reflux. The recommended PPI that can be given is omeprazole 20 mg or lansoprazole 30 mg 2 times per day for 3–6 months or for child dose of 1 mg/kg/time given two times per day [55].
Altered vagal nerve activity caused by impaired autonomic regulation may appear to play a role in the pathogenesis of laryngeal clinical manifestation and have an impact in person’s quality of life. This often leads to high economic and social burdens on patients due to delay in diagnosis, numerous tertiary care referrals, and lack of effective medications. The degree of dysfunction may have correlation with disease severity. Impaired autonomic regulation in the larynx was thought to be responsible for clinical entities, such as laryngopharyngeal reflux (LPR), sleep-disordered breathing (SDB), chronic cough (CC), and paradoxical vocal cord movement (PVCM). Treating the underlying specific conditions and symptoms are needed, and research with a large series of subjects and application of autonomic modulation as a therapeutic target is recommended in the future.
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Lack of knowledge and awareness on earthquake as well as its comeback is conspicuous and results in disaster; leading to bitter memories. Therefore, earthquake forecast has been a polemical study theme that has defied even the most intelligent of minds. In this chapter, an attempt was made to do an extensive overview in the area of the earthquake prediction as well as classifying them into the main strategies comprising short‐, immediate‐, and long‐term prediction. An example of each strategy was carried out by mentioning their corresponding approaches/algorithms, such as ΔCFS, CN, MSc, M8, ANN, FFBPANN, KNN, GRNN, RBF, and LMBP; depending on the importance of each strategy. Based on these, it was concluded that, after the Tohoku‐Oki earthquake with M9.0, the current orientation of the Headquarters for earthquake Research Promotion of MEXT in Japan declare that, their mission would be long‐term statistical forecast of seismicity. Even, it is claimed that they do not emphasize on short‐term forecasting. Besides, intermediate‐term estimations are not capable to be used for prevention of all damages and protect all human life, but they may be utilized to undertake certain affordable activities to decrease damage, losses, and modify postdisaster relief. And, despite the long‐term prediction is more concerned by researchers, there is no certain satisfactory level to content them. De facto, the made covenant of 1970 that investigators will be capable to forecast/predict ground excitations within a decade, still remains unmet.",book:{id:"5499",slug:"earthquakes-tectonics-hazard-and-risk-mitigation",title:"Earthquakes",fullTitle:"Earthquakes - Tectonics, Hazard and Risk Mitigation"},signatures:"Khaled Ghaedi and Zainah Ibrahim",authors:[{id:"190572",title:"Dr.",name:"Khaled",middleName:null,surname:"Ghaedi",slug:"khaled-ghaedi",fullName:"Khaled Ghaedi"},{id:"196228",title:"Prof.",name:"Zainah",middleName:null,surname:"Ibrahim",slug:"zainah-ibrahim",fullName:"Zainah Ibrahim"}]},{id:"52524",doi:"10.5772/65425",title:"Earthquakes and Structural Damages",slug:"earthquakes-and-structural-damages",totalDownloads:3344,totalCrossrefCites:13,totalDimensionsCites:20,abstract:"Earthquakes are the most destructive natural hazards throughout human history. Hundreds of thousand people lost their lives and loss of billions of dollars’ properties occurred in these disasters. Occurred medium or high-intensity magnitude earthquakes in last twenty years showed that these loses continue. For reinforced concrete (R/C) buildings, inappropriate design such as soft and weak stories, strong beam–weak column, short column, hammering, unconfined gable wall and in-plane/out-of-plane movement of the walls causes damages. These are the main reasons. In addition to this, low quality of structural materials, poor workmanship, lack of engineering services, and construction with insufficient detailing of the structural elements are the another reasons of damages. Main reasons of masonry building damages in terms of design faults can be shown as heavy earthen roofs, inappropriate detailing of wall to wall connection and wall to roof connection, absence of bond beams, large openings. However, construction of buildings by using local materials with poor workmanship on the base of traditional rules is the other reason of failures for these buildings. In this book chapter, earthquakes and reasons of damages arose from earthquakes for reinforced concrete and masonry structures were presented. In addition to this, appropriate solutions are suggested.",book:{id:"5499",slug:"earthquakes-tectonics-hazard-and-risk-mitigation",title:"Earthquakes",fullTitle:"Earthquakes - Tectonics, Hazard and Risk Mitigation"},signatures:"Burak Yön, Erkut Sayın and Onur Onat",authors:[{id:"192483",title:"Dr.",name:"Burak",middleName:null,surname:"Yön",slug:"burak-yon",fullName:"Burak Yön"},{id:"192486",title:"Dr.",name:"Erkut",middleName:null,surname:"Sayın",slug:"erkut-sayin",fullName:"Erkut Sayın"},{id:"192487",title:"Dr.",name:"Onur",middleName:null,surname:"Onat",slug:"onur-onat",fullName:"Onur Onat"}]}],mostDownloadedChaptersLast30Days:[{id:"41664",title:"Volcanic Natural Resources and Volcanic Landscape Protection: An Overview",slug:"volcanic-natural-resources-and-volcanic-landscape-protection-an-overview",totalDownloads:3724,totalCrossrefCites:2,totalDimensionsCites:3,abstract:null,book:{id:"3088",slug:"updates-in-volcanology-new-advances-in-understanding-volcanic-systems",title:"Updates in Volcanology",fullTitle:"Updates in Volcanology - New Advances in Understanding Volcanic Systems"},signatures:"Jiaqi Liu, Jiali Liu, Xiaoyu Chen and Wenfeng Guo",authors:[{id:"60000",title:"Prof.",name:"Jiaqi",middleName:null,surname:"Liu",slug:"jiaqi-liu",fullName:"Jiaqi Liu"}]},{id:"31815",title:"Disaster Management Based on Business Process Model Through the Plant Lifecycle",slug:"disaster-management-based-on-business-process-model-through-the-plant-lifecycle",totalDownloads:2690,totalCrossrefCites:6,totalDimensionsCites:10,abstract:null,book:{id:"600",slug:"approaches-to-managing-disaster-assessing-hazards-emergencies-and-disaster-impacts",title:"Approaches to Managing Disaster",fullTitle:"Approaches to Managing Disaster - Assessing Hazards, Emergencies and Disaster Impacts"},signatures:"Yukiyasu Shimada, Teiji Kitajima, Tetsuo Fuchino and Kazuhiro Takeda",authors:[{id:"70197",title:"Dr.",name:"Yukiyasu",middleName:null,surname:"Shimada",slug:"yukiyasu-shimada",fullName:"Yukiyasu Shimada"},{id:"82055",title:"Dr.",name:"Tetsuo",middleName:null,surname:"Fuchino",slug:"tetsuo-fuchino",fullName:"Tetsuo Fuchino"},{id:"82056",title:"Prof.",name:"Teiji",middleName:null,surname:"Kitajima",slug:"teiji-kitajima",fullName:"Teiji Kitajima"},{id:"121284",title:"Dr.",name:"Kazuhiro",middleName:null,surname:"Takeda",slug:"kazuhiro-takeda",fullName:"Kazuhiro Takeda"}]},{id:"52524",title:"Earthquakes and Structural Damages",slug:"earthquakes-and-structural-damages",totalDownloads:3345,totalCrossrefCites:13,totalDimensionsCites:20,abstract:"Earthquakes are the most destructive natural hazards throughout human history. Hundreds of thousand people lost their lives and loss of billions of dollars’ properties occurred in these disasters. Occurred medium or high-intensity magnitude earthquakes in last twenty years showed that these loses continue. For reinforced concrete (R/C) buildings, inappropriate design such as soft and weak stories, strong beam–weak column, short column, hammering, unconfined gable wall and in-plane/out-of-plane movement of the walls causes damages. These are the main reasons. In addition to this, low quality of structural materials, poor workmanship, lack of engineering services, and construction with insufficient detailing of the structural elements are the another reasons of damages. Main reasons of masonry building damages in terms of design faults can be shown as heavy earthen roofs, inappropriate detailing of wall to wall connection and wall to roof connection, absence of bond beams, large openings. However, construction of buildings by using local materials with poor workmanship on the base of traditional rules is the other reason of failures for these buildings. In this book chapter, earthquakes and reasons of damages arose from earthquakes for reinforced concrete and masonry structures were presented. In addition to this, appropriate solutions are suggested.",book:{id:"5499",slug:"earthquakes-tectonics-hazard-and-risk-mitigation",title:"Earthquakes",fullTitle:"Earthquakes - Tectonics, Hazard and Risk Mitigation"},signatures:"Burak Yön, Erkut Sayın and Onur Onat",authors:[{id:"192483",title:"Dr.",name:"Burak",middleName:null,surname:"Yön",slug:"burak-yon",fullName:"Burak Yön"},{id:"192486",title:"Dr.",name:"Erkut",middleName:null,surname:"Sayın",slug:"erkut-sayin",fullName:"Erkut Sayın"},{id:"192487",title:"Dr.",name:"Onur",middleName:null,surname:"Onat",slug:"onur-onat",fullName:"Onur Onat"}]},{id:"41478",title:"Monogenetic Basaltic Volcanoes: Genetic Classification, Growth, Geomorphology and Degradation",slug:"monogenetic-basaltic-volcanoes-genetic-classification-growth-geomorphology-and-degradation",totalDownloads:6142,totalCrossrefCites:72,totalDimensionsCites:141,abstract:null,book:{id:"3088",slug:"updates-in-volcanology-new-advances-in-understanding-volcanic-systems",title:"Updates in Volcanology",fullTitle:"Updates in Volcanology - New Advances in Understanding Volcanic Systems"},signatures:"Gábor Kereszturi and Károly Németh",authors:[{id:"51162",title:"Dr.",name:"Károly",middleName:null,surname:"Németh",slug:"karoly-nemeth",fullName:"Károly Németh"},{id:"62029",title:"Dr.",name:"Gabor",middleName:null,surname:"Kereszturi",slug:"gabor-kereszturi",fullName:"Gabor Kereszturi"}]},{id:"62769",title:"Disaster Mitigation Model of Eruption Based on Local Wisdom in Indonesia",slug:"disaster-mitigation-model-of-eruption-based-on-local-wisdom-in-indonesia",totalDownloads:1424,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"Kelud is one of the most active volcanoes in Indonesia and suffered a major eruption in 2014. Although they are not part of the super volcano, the impact of the eruption is extraordinary. However, the eruption is not too worrying for the surrounding community. The lack of disaster victims caused by the eruption in 2014 became a successful representation of disaster mitigation models owned by local communities in answering the eruption problem. The easy evacuation process and quickly post-eruption rehabilitation illustrate a pattern of environmental adaptation around the volcano. This discussion focuses on how the people behavior around the volcano in responding to the challenge of eruption? How the role of local government in preparing the community in the face of an eruption, and what actions are done so that the rehabilitation process can take place quickly? To answer all these questions, the researchers collected relevant data through observation, documentation, and interviews with the local communities and local government representatives directly involved in disaster mitigation measures. In addition, the researchers also revealed local traditions that are considered capable of supporting the process of preparing the community in answering the eruption challenges and becoming part of disaster mitigation in the volcanic region.",book:{id:"6821",slug:"natural-hazards-risk-assessment-and-vulnerability-reduction",title:"Natural Hazards",fullTitle:"Natural Hazards - Risk Assessment and Vulnerability Reduction"},signatures:"Eko Hariyono and Solaiman Liliasari",authors:[{id:"214360",title:"Dr.",name:"Eko",middleName:null,surname:"Hariyono",slug:"eko-hariyono",fullName:"Eko Hariyono"},{id:"219699",title:"Prof.",name:"Liliasari",middleName:null,surname:"S",slug:"liliasari-s",fullName:"Liliasari S"}]}],onlineFirstChaptersFilter:{topicId:"106",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:318,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:106,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:15,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},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:"June 11th, 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. 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