Recognition results with MS, MFCC features, and their combination on Berlin database; AVG. denotes average recognition rate; \n
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\n'}],latestNews:[{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"},{slug:"intechopen-identified-as-one-of-the-most-significant-contributor-to-oa-book-growth-in-doab-20210809",title:"IntechOpen Identified as One of the Most Significant Contributors to OA Book Growth in DOAB"}]},book:{item:{type:"book",id:"5724",leadTitle:null,fullTitle:"Frailty and Sarcopenia - Onset, Development and Clinical Challenges",title:"Frailty and Sarcopenia",subtitle:"Onset, Development and Clinical Challenges",reviewType:"peer-reviewed",abstract:"Frailty is considered a multisystem impairment that makes an individual vulnerable to external or internal stressors. Sarcopenia, the age-dependent loss of muscle mass and function, is proposed as the biological substrate and the pathway whereby the consequences of physical frailty develop. These syndromes are associated with a negative impact in quality of life and can lead to the occurrence of disability, institutionalization, and even mortality. The book focuses upon all the related aspects of frailty and sarcopenia and the new advancements in the related treatments including complex issues and research. It includes high-quality chapters in all related aspects for the syndromes of sarcopenia and frailty, which adversely affect the function and overall effectiveness of the musculoskeletal system and interventions to promote rehabilitation.",isbn:"978-953-51-3484-8",printIsbn:"978-953-51-3483-1",pdfIsbn:"978-953-51-4691-9",doi:"10.5772/65153",price:119,priceEur:129,priceUsd:155,slug:"frailty-and-sarcopenia-onset-development-and-clinical-challenges",numberOfPages:254,isOpenForSubmission:!1,isInWos:1,isInBkci:!1,hash:"3bddbdef3183cb7745a66525d1f93515",bookSignature:"Yannis Dionyssiotis",publishedDate:"August 30th 2017",coverURL:"https://cdn.intechopen.com/books/images_new/5724.jpg",numberOfDownloads:17860,numberOfWosCitations:25,numberOfCrossrefCitations:20,numberOfCrossrefCitationsByBook:3,numberOfDimensionsCitations:40,numberOfDimensionsCitationsByBook:3,hasAltmetrics:1,numberOfTotalCitations:85,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"September 6th 2016",dateEndSecondStepPublish:"November 8th 2016",dateEndThirdStepPublish:"February 4th 2017",dateEndFourthStepPublish:"March 28th 2017",dateEndFifthStepPublish:"May 30th 2017",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"76883",title:"PhD.",name:"Yannis",middleName:null,surname:"Dionyssiotis",slug:"yannis-dionyssiotis",fullName:"Yannis Dionyssiotis",profilePictureURL:"https://mts.intechopen.com/storage/users/76883/images/system/76883.jpg",biography:"Dr. Yannis Dionyssiotis specializes in Physical Medicine and Rehabilitation (PMR). He has clinical experience as Physiatrist in a variety of clinical settings as clinician, researcher, clinical instructor and consultant. He holds a PhD in Bone and Soft Tissue Changes in Spinal Cord Injury from National and Kapodistrian University of Athens. He also has senior European Board Certification in PMR, a Master Thesis in Aging and Chronic Diseases (Hellenic Open University / University of Thessaly), Facharztanerkennung in Germany (PMR) and is registered Physician in the UK. Dr. Dionyssiotis has professional presentations and publications in the areas of rehabilitation, spinal cord injury, multiple sclerosis and osteoporosis. He is the Co-Editor in Chief of Journal Frailty, Sarcopenia and Falls.",institutionString:"National and Kapodistrian University of Athens",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"6",totalChapterViews:"0",totalEditedBooks:"5",institution:{name:"Westpfalz Klinikum",institutionURL:null,country:{name:"Germany"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"1150",title:"Orthopedics",slug:"orthopedics"}],chapters:[{id:"56116",title:"Epidemiology of Sarcopenia and Frailty",doi:"10.5772/intechopen.69771",slug:"epidemiology-of-sarcopenia-and-frailty",totalDownloads:2275,totalCrossrefCites:2,totalDimensionsCites:5,hasAltmetrics:1,abstract:"Sarcopenia and frailty are common in older persons and pose particular challenges for health and social care systems especially in the context of global population ageing. Sarcopenia, the loss of skeletal muscle mass, strength and function with age is associated with adverse individual physical and metabolic changes contributing to morbidity and mortality. The health and socioeconomic implications of sarcopenia are also considerable. Sarcopenia is a core component of physical frailty that together impact negatively on an individual’s capability to live independently. Frailty is a biological syndrome of low reserve and resistance to stressors resulting from cumulative declines across multiple physiological systems that collectively predispose an individual to adverse outcomes. Frailty develops along a continuum from independence through to death as physiological reserves progressively diminish an individual’s capacity to recover from an acute insult or illness. Managing sarcopenia and frailty involves the multidisciplinary led completion of a comprehensive care plan that is patient centred, responsive to the needs of the patient and adaptable therefore enabling an individual to maintain their independence.",signatures:"Harnish P Patel, Esther Clift, Lucy Lewis and Cyrus Cooper",downloadPdfUrl:"/chapter/pdf-download/56116",previewPdfUrl:"/chapter/pdf-preview/56116",authors:[{id:"83886",title:"Dr.",name:"Harnish",surname:"Patel",slug:"harnish-patel",fullName:"Harnish Patel"},{id:"125686",title:"Prof.",name:"Cyrus",surname:"Cooper",slug:"cyrus-cooper",fullName:"Cyrus Cooper"},{id:"206190",title:"Mrs.",name:"Esther",surname:"Clift",slug:"esther-clift",fullName:"Esther Clift"},{id:"206191",title:"Mrs.",name:"Lucy",surname:"Lewis",slug:"lucy-lewis",fullName:"Lucy Lewis"}],corrections:null},{id:"55791",title:"Sarcopenia in the Context of Skeletal Muscle Function Deficit (SMFD)",doi:"10.5772/intechopen.68979",slug:"sarcopenia-in-the-context-of-skeletal-muscle-function-deficit-smfd-",totalDownloads:1307,totalCrossrefCites:0,totalDimensionsCites:2,hasAltmetrics:1,abstract:"Evidence shows that not only changes in skeletal muscle mass but changes in strength and other factors underpinning muscle quality play a role in muscle function decline and impaired mobility associated with aging. Changes in both strength and quality may precede loss of muscle mass. Skeletal muscle function deficit (SMFD) is a terminology that embraces this evolving conceptualization of sarcopenia and age-related muscle dysfunctions. This chapter provides a discussion on sarcopenia in the context of SMFD, including operational definitions and methodological challenges associated with their establishment; integration of muscle quality into SMFD; efforts to identify diagnostic cutoff values for low muscle mass and weakness and their predictive validity to mobility disability; need for standardized muscle quality assessment; clinical and public health relevance and research opportunities. Changes in muscle composition, based on excessive levels of inter- and intramuscular or intramyocellular fat are striking features increasingly addressed in the literature, found to affect muscle metabolism and peak force generation. Methods to easily and rapidly assess muscle composition in multiple clinical settings and with minimal patient burden are needed. Further characterization of SMFD should emphasize integration of muscle quality and factors behind changes in quality, as well as associated clinical and research implications.",signatures:"Rosaly Correa-de-Araujo",downloadPdfUrl:"/chapter/pdf-download/55791",previewPdfUrl:"/chapter/pdf-preview/55791",authors:[{id:"196647",title:"M.D.",name:"Rosaly",surname:"Correa-De-Araujo",slug:"rosaly-correa-de-araujo",fullName:"Rosaly Correa-De-Araujo"}],corrections:null},{id:"55942",title:"From Sarcopenia to Frailty: The Pathophysiological Basis and Potential Target Molecules of Intervention",doi:"10.5772/intechopen.69639",slug:"from-sarcopenia-to-frailty-the-pathophysiological-basis-and-potential-target-molecules-of-interventi",totalDownloads:1530,totalCrossrefCites:2,totalDimensionsCites:5,hasAltmetrics:0,abstract:"Skeletal muscle is not only an endocrine organ but also one of core components of muscloskeletal system. Sarcopenia refers to a decline in the skeletal muscle mass and function. The former involves the size and number of changes in two types of myofibers, lower satellite cell density, and regeneration ability. The latter shows a loss of muscle strength. Frailty is a geriatric syndrome with multisystem impairment associated with increased vulnerability to stressors. Sarcopenia increases the risk of frailty and may be one of the major causes of physical frailty phenotype. Sarcopenia is also potentially associated with cognitive frailty phenotype. Aging might be the common underlying pathophysiology of sarcopenia and frailty. Therefore, there are some potential target molecules in aging-related signaling pathways that might be associated with sarcopenia and frailty. Nevertheless, sarcopenia can mediate metabolism and promote accelerate systemic aging, frailty, and age-related diseases by myokines in an endocrine manner. Lifestyle interventions (resistance exercise and dietary restriction) of gerontoscience are effective in the prevention of sarcopenia. Some pharmacological agents are registered in different phases of clinical trials for sarcopenia intervention. Phytochemicals, mTOR inhibitors, metformin and acarbose, NAD precursors, and sirtuin activators demonstrated that multiple target antiaging effects might also have preventive and therapeutic perspectives on sarcopenia and frailty.",signatures:"Zhuowei Yu, Qingwei Ruan, Grazia D’Onofrio and Antonio Greco",downloadPdfUrl:"/chapter/pdf-download/55942",previewPdfUrl:"/chapter/pdf-preview/55942",authors:[{id:"195813",title:"Prof.",name:"Qingwei",surname:"Ruan",slug:"qingwei-ruan",fullName:"Qingwei Ruan"},{id:"204892",title:"Prof.",name:"Zhuowei",surname:"Yu",slug:"zhuowei-yu",fullName:"Zhuowei Yu"},{id:"204898",title:"Prof.",name:"Antonio",surname:"Greco",slug:"antonio-greco",fullName:"Antonio Greco"},{id:"272628",title:"Dr.",name:"Grazia",surname:"D'Onofrio",slug:"grazia-d'onofrio",fullName:"Grazia D'Onofrio"}],corrections:null},{id:"54902",title:"Sarcopenia and Malnutrition in the Elderly",doi:"10.5772/intechopen.68426",slug:"sarcopenia-and-malnutrition-in-the-elderly",totalDownloads:1571,totalCrossrefCites:2,totalDimensionsCites:3,hasAltmetrics:0,abstract:"Sarcopenia and malnutrition are both commonly occurring conditions in elderly population. As understood today, sarcopenia is a syndrome characterised by progressive and generalised loss of skeletal muscle mass, physical performance and/or strength, whereas malnutrition has been defined as a condition of an imbalance of energy, protein and other nutrients that can cause measurable negative effects. In many populations, malnutrition and sarcopenia are present simultaneously, and they appear clinically through a combination of decreased body weight and nutrient intake, along with a decrease in muscle mass and function. Moreover, malnutrition is one of the key pathophysiological causes of sarcopenia. Both entities result in numerous and substantial negative outcomes to the patients and the healthcare system, including decreased quality of life and functionality and increased healthcare costs, hospitalisation rates, morbidity and mortality. Early identification of sarcopenia would be of great clinical relevance because the loss of muscle mass and strength with ageing can be largely reversed by proper exercise and nutritional intervention. Clinicians should integrate nutritional assessment with sarcopenia screening for optimal evaluation of these two interrelated issues to help improve clinical outcomes.",signatures:"Beatriz Lardiés-Sánchez and Alejandro Sanz-París",downloadPdfUrl:"/chapter/pdf-download/54902",previewPdfUrl:"/chapter/pdf-preview/54902",authors:[{id:"200965",title:"Dr.",name:"Beatriz",surname:"Lardiés-Sánchez",slug:"beatriz-lardies-sanchez",fullName:"Beatriz Lardiés-Sánchez"},{id:"200967",title:"Dr.",name:"Alejandro",surname:"Sanz-París",slug:"alejandro-sanz-paris",fullName:"Alejandro Sanz-París"}],corrections:null},{id:"55212",title:"Sarcopenic Dysphagia as a New Concept",doi:"10.5772/intechopen.68791",slug:"sarcopenic-dysphagia-as-a-new-concept",totalDownloads:2179,totalCrossrefCites:5,totalDimensionsCites:9,hasAltmetrics:1,abstract:"Dysphagia (swallowing difficulties) is a serious problem associated with malnutrition, dehydration, aspiration pneumonia, and death. Its well‐known causes include stroke, neuromuscular disease, and head and neck cancer, and these affect muscles and sensation during deglutition. In recent years, dysphagia due to sarcopenia (i.e. “sarcopenic dysphagia”) has been reported as a new concept. Sarcopenic dysphagia results from low swallowing and general skeletal muscle mass and strength. The characteristic changes in swallowing muscles occur primarily in oral and pharyngeal muscles along with other associated factors. With a rapidly aging population, the number of older adults with sarcopenic dysphagia is expected to increase. Therefore, it is necessary to investigate the pathophysiology and treatment strategies for sarcopenic dysphagia. In this chapter, we summarize previous studies related to sarcopenic dysphagia.",signatures:"Kotomi Sakai and Kunihiro Sakuma",downloadPdfUrl:"/chapter/pdf-download/55212",previewPdfUrl:"/chapter/pdf-preview/55212",authors:[{id:"195785",title:"Ph.D. Student",name:"Kotomi",surname:"Sakai",slug:"kotomi-sakai",fullName:"Kotomi Sakai"},{id:"195829",title:"Prof.",name:"Kunihiro",surname:"Sakuma",slug:"kunihiro-sakuma",fullName:"Kunihiro Sakuma"}],corrections:null},{id:"56002",title:"Rehabilitation in Sarcopenic Elderly",doi:"10.5772/intechopen.69638",slug:"rehabilitation-in-sarcopenic-elderly",totalDownloads:1552,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Sarcopenia is a complex problem and an important emerging field in rehabilitation of the elderly. In 2010, the European working group on sarcopenia in older people (EWGSOP) described sarcopenia as a syndrome characterised by progressive and generalised loss of skeletal muscle mass and strength, associated with a risk of adverse outcomes such as physical disability, poor quality of life and death. This field of rehabilitation has been defined as ‘evaluative, diagnostic and therapeutic interventions whose purpose is to restore functional ability or enhance residual functional capability in elderly people with disabling impairments’. With growing numbers of frail older people, there is an increasing need for appropriate geriatric rehabilitation services. Definitely, sarcopenia needs a specific rehabilitation program to improve muscular mass and strength that must be integrated with a global approach with the aim to recover postural assessment, amplify sensory‐motor systems, in order to gain the necessary information for proper motor planning, to reduce risk of falls. Several physical agents in medicine permit to treat sarcopenia, like vibrations or electrical stimulation. The aim of this chapter is to give an overview about rehabilitative medicine for sarcopenia, highlighting the state of the art, presenting the most significative clinical researches and giving some inputs to set a rehabilitation protocol.",signatures:"Raoul Saggini, Simona Maria Carmignano, Lucia Cosenza, Tommaso\nPalermo and Rosa Grazia Bellomo",downloadPdfUrl:"/chapter/pdf-download/56002",previewPdfUrl:"/chapter/pdf-preview/56002",authors:[{id:"60231",title:"Prof.",name:"Raoul",surname:"Saggini",slug:"raoul-saggini",fullName:"Raoul Saggini"},{id:"174446",title:"Prof.",name:"Rosa Grazia",surname:"Bellomo",slug:"rosa-grazia-bellomo",fullName:"Rosa Grazia Bellomo"},{id:"206445",title:"Dr.",name:"Simona Maria",surname:"Carmignano",slug:"simona-maria-carmignano",fullName:"Simona Maria Carmignano"},{id:"206446",title:"Dr.",name:"Tommaso",surname:"Palermo",slug:"tommaso-palermo",fullName:"Tommaso Palermo"},{id:"381135",title:"Dr.",name:"Lucia",surname:"Cosenza",slug:"lucia-cosenza",fullName:"Lucia Cosenza"}],corrections:null},{id:"54255",title:"Understanding Cachexia, Sarcopenia, and Physical Exercise in Patients with Cancer",doi:"10.5772/67628",slug:"understanding-cachexia-sarcopenia-and-physical-exercise-in-patients-with-cancer",totalDownloads:1571,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:0,abstract:"Many patients with cancer experience muscle wasting and weakness. Muscle wasting in patients with cancer can be caused by cachexia and sarcopenia. Both cachexia and sarcopenia involve inflammation and oxidative stress. However, they differ in the underlying mechanisms that lead to muscle wasting. Cachexia involves the release of inflammatory cytokines due to cancer, while sarcopenia involves inflammation due to aging. Physical exercise has shown effectiveness for improving physical function, ability, and quality of life (QOL) in patients with cancer cachexia. On the other hand, no studies have investigated the relationship between physical exercise and sarcopenia in elderly patients with cancer. Previous studies showed effectiveness for improving physical function in elderly patients with cancer. In the future, more studies are required on physical exercise in sarcopenic elderly patients with cancer.",signatures:"Shinichiro Morishita, Atsuhiro Tsubaki and Jack B. Fu",downloadPdfUrl:"/chapter/pdf-download/54255",previewPdfUrl:"/chapter/pdf-preview/54255",authors:[{id:"139514",title:"Ph.D.",name:"Shinichiro",surname:"Morishita",slug:"shinichiro-morishita",fullName:"Shinichiro Morishita"},{id:"202889",title:"Dr.",name:"Atsuhiro",surname:"Tsubaki",slug:"atsuhiro-tsubaki",fullName:"Atsuhiro Tsubaki"},{id:"204354",title:"Dr.",name:"Jack B",surname:"Fu",slug:"jack-b-fu",fullName:"Jack B Fu"}],corrections:null},{id:"54670",title:"Pancreatic Cancer Cachexia: Current Concepts and Clinical Management",doi:"10.5772/68047",slug:"pancreatic-cancer-cachexia-current-concepts-and-clinical-management",totalDownloads:1031,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:0,abstract:"There has been great progress over the last decade in understanding the pathophysiology of cachexia associated with pancreatic cancer. However, there is a large need to find better therapeutic options to successfully manage this complex and challenging condition. Patients with pancreatic cancer have some of the highest prevalence and often the most severe degrees of cachexia, which is described as a multifactorial metabolic syndrome that is associated with unintended weight loss of adipose tissue and skeletal muscle in the setting of anorexia. This chapter will review the current concepts surrounding pancreatic cancer cachexia, its clinical diagnosis, pathophysiology, and its known and proposed therapeutics. A multimodal approach utilizing nutritional support and pharmaceutical therapies is proposed to lead to the most successful management of pancreatic cancer cachexia.",signatures:"Michelle Guan, Arvind M. Shinde and Andrew E. Hendifar",downloadPdfUrl:"/chapter/pdf-download/54670",previewPdfUrl:"/chapter/pdf-preview/54670",authors:[{id:"200585",title:"Ms.",name:"Michelle",surname:"Guan",slug:"michelle-guan",fullName:"Michelle Guan"},{id:"200682",title:"Dr.",name:"Andrew E.",surname:"Hendifar",slug:"andrew-e.-hendifar",fullName:"Andrew E. Hendifar"},{id:"200820",title:"Dr.",name:"Arvind M.",surname:"Shinde",slug:"arvind-m.-shinde",fullName:"Arvind M. Shinde"}],corrections:null},{id:"56536",title:"Sarcopenia in Chronic Illness and Rehabilitative Approaches",doi:"10.5772/intechopen.70223",slug:"sarcopenia-in-chronic-illness-and-rehabilitative-approaches",totalDownloads:1785,totalCrossrefCites:4,totalDimensionsCites:5,hasAltmetrics:1,abstract:"Primary sarcopenia is considered to be age-related when no other cause is evident, other than aging itself. Secondary sarcopenia should be considered when one or more other causes are evident, such as multiple chronic conditions. Previous studies have reported that low muscle strength and impaired physical performance can be found in chronic diseases, including metabolic disease (diabetes, hypertension, and obesity), arthritis, osteoporosis, cancer, chronic kidney disease, chronic obstructive pulmonary disease, neuromuscular disease, and chronic infection. The development of preventive and therapeutic strategies against secondary sarcopenia and wasting disorders in general is an epidemiological need. The planning of a complex rehabilitation program in sarcopenia associated to chronic conditions, in the context of a comprehensive treatment, is made up of a nutritional support, exercise, correction of lifestyles, and the use of advanced physical energies. Therefore, for the purposes of the optimal management, it is essential to identify the pathogenesis and clinical characteristics that can affect the different rehabilitative treatment.",signatures:"Raoul Saggini, Simona Maria Carmignano, Lucia Cosenza, Tommaso\nPalermo and Rosa Grazia Bellomo",downloadPdfUrl:"/chapter/pdf-download/56536",previewPdfUrl:"/chapter/pdf-preview/56536",authors:[{id:"60231",title:"Prof.",name:"Raoul",surname:"Saggini",slug:"raoul-saggini",fullName:"Raoul Saggini"},{id:"211116",title:"Dr.",name:"Lucia",surname:"Cosenza",slug:"lucia-cosenza",fullName:"Lucia Cosenza"},{id:"382392",title:"Dr.",name:"Tommaso",surname:"Palermo",slug:"tommaso-palermo",fullName:"Tommaso Palermo"}],corrections:null},{id:"56150",title:"Frailty and Cardiovascular Disease",doi:"10.5772/intechopen.69877",slug:"frailty-and-cardiovascular-disease",totalDownloads:1506,totalCrossrefCites:1,totalDimensionsCites:4,hasAltmetrics:0,abstract:"Cardiovascular disease (CVD) comprises a vast spectrum of disease states ranging from hypertension (HTN) to valvular heart disease (VHD). CVD is known to be the leading cause of morbidity, mortality, and health‐care expenditure throughout the world. According to the World Health Organization, coronary artery disease (CAD) and stroke, both subsets of CVD, are the world’s biggest killers, accounting for a combined 15 million deaths in 2015. These diseases have remained the leading causes of death globally in the last 15 years. In 2010, CAD alone was projected to cost the U.S. $108.9 billion including the cost of health‐care services, medications, and lost productivity. The presence of frailty significantly worsens outcomes for patients suffering from CAD. With just this one example of how frailty affects CVD, it is clear that understanding the impact of frailty upon patients afflicted with the spectrum of cardiovascular disease is integral for the care of this very significant patient population.",signatures:"Vinod Chainani, Russell Riehl, Geeta Chainani, Abir Abdo, Mauricio\nG. Cohen, Carlos Alfonso, Pedro Martinez‐Clark, Carl J. Lavie, John P.\nReilly and Nidal Abi‐Rafeh",downloadPdfUrl:"/chapter/pdf-download/56150",previewPdfUrl:"/chapter/pdf-preview/56150",authors:[{id:"198378",title:"Dr.",name:"Vinod",surname:"Chainani",slug:"vinod-chainani",fullName:"Vinod Chainani"},{id:"381513",title:"Dr.",name:"Russell",surname:"Riehl",slug:"russell-riehl",fullName:"Russell Riehl"},{id:"381514",title:"Dr.",name:"Geeta",surname:"Chainani",slug:"geeta-chainani",fullName:"Geeta Chainani"},{id:"381515",title:"Dr.",name:"Abir",surname:"Abdo",slug:"abir-abdo",fullName:"Abir Abdo"},{id:"381516",title:"Dr.",name:"Mauricio G.",surname:"Cohen",slug:"mauricio-g.-cohen",fullName:"Mauricio G. Cohen"},{id:"381517",title:"Dr.",name:"Carlos",surname:"Alfonso",slug:"carlos-alfonso",fullName:"Carlos Alfonso"},{id:"381518",title:"Dr.",name:"Pedro",surname:"Martinez‐Clark",slug:"pedro-martinezclark",fullName:"Pedro Martinez‐Clark"},{id:"381519",title:"Dr.",name:"Carl J.",surname:"Lavie",slug:"carl-j.-lavie",fullName:"Carl J. Lavie"},{id:"381520",title:"Dr.",name:"John P.",surname:"Reilly",slug:"john-p.-reilly",fullName:"John P. Reilly"},{id:"381521",title:"Dr.",name:"Nidal",surname:"Abi‐Rafeh",slug:"nidal-abirafeh",fullName:"Nidal Abi‐Rafeh"}],corrections:null},{id:"55691",title:"Allogeneic Mesenchymal Stem Cells as a Treatment for Aging Frailty",doi:"10.5772/intechopen.69194",slug:"allogeneic-mesenchymal-stem-cells-as-a-treatment-for-aging-frailty",totalDownloads:1554,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:1,abstract:"As life expectancy is projected to increase in the ensuing decades, individuals of older age continue to exceed the previous generation’s lifespan. Advancing age is associated with a reduction in physical and mental functional capacity, and chronic inflammation is a major factor contributing to this decline. A heightened inflammatory state can lead to exhaustion, weakness, weight loss, slow gate speed, and an overall decrease in activity level. These phenotypes define the onset of the disease process known as frailty. Frailty is a growing epidemic, which severely undermines a person’s ability to deal with outside stressors, and increases their rate of hospitalization, institutionalization, and mortality. Current interventions focus on preventative care by improving exercise capacity, strength, nutritional supplementation, diet, and mobility. However, a biological cure has heretofore remained elusive. Here, we introduce the novel therapeutic principle that mesenchymal stem cell (MSC) therapy may represent a safe, practical, and efficacious both the treatment and prevention of frailty in individuals of advancing age. To date, a phase I safety trial reveals an excellent safety profile and suggests that mesenchymal stem cells can ameliorate signs and symptoms of frailty. These early studies lay the groundwork for future large-scale clinical trials of this exciting and novel therapeutic concept that has the potential to expand health span in the aging population.",signatures:"Bryon A. Tompkins, Ana Marie Landin, Victoria Florea, Makoto\nNatsumeda, Angela C. Rieger, Wayne Balkan, Ivonne Hernandez\nSchulman and Joshua M. Hare",downloadPdfUrl:"/chapter/pdf-download/55691",previewPdfUrl:"/chapter/pdf-preview/55691",authors:[{id:"47873",title:"Dr.",name:"Ivonne",surname:"Schulman",slug:"ivonne-schulman",fullName:"Ivonne Schulman"},{id:"200961",title:"Dr.",name:"Joshua",surname:"Hare",slug:"joshua-hare",fullName:"Joshua Hare"},{id:"201911",title:"Ph.D.",name:"Wayne",surname:"Balkan",slug:"wayne-balkan",fullName:"Wayne Balkan"},{id:"201913",title:"Dr.",name:"Ana Marie",surname:"Landin",slug:"ana-marie-landin",fullName:"Ana Marie Landin"},{id:"202031",title:"Dr.",name:"Bryon",surname:"Tompkins",slug:"bryon-tompkins",fullName:"Bryon Tompkins"},{id:"205797",title:"Dr.",name:"Victoria",surname:"Florea",slug:"victoria-florea",fullName:"Victoria Florea"},{id:"205798",title:"Dr.",name:"Angela C.",surname:"Rieger",slug:"angela-c.-rieger",fullName:"Angela C. 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Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}}},ofsBook:{item:{type:"book",id:"11475",leadTitle:null,title:"Food Security Challenges and Approaches",subtitle:null,reviewType:"peer-reviewed",abstract:"\r\n\tFood is the basic necessity, which sustains active and health life style. Everybody should have an access towards adequate amount of food that can be ensured through food security. Therefore, the concept regarding the food security has utmost importance for developed and developing nations. It measures that every individual has access to the food that fulfils the food safety and quality standards. Food availability, access, utilization and stability are the pillars of the food security. These pillars are being affected due to various factors such as natural disasters, poor agricultural and post-harvest practices, climate change and poor manufacturing and marketing strategies. The role of all these factors will aim to fall in the scope of this book.
\r\n\tFood insecurity results in fear of hunger and starvation that ultimately affects one’s ability to work for sustainability and economic growth of the country. In addition to this, food insecurity results in various chronic diseases due to reduce immunity that ultimately, a burned on the county economy. Therefore, this book will intend to discuss in detail about the food insecurity challenges and their effect on the quality of life. This book will also aim to provide an overview about the new trends and future prospective that help to resolve the food security issues.
Alginate is an anionic polymer that occurs naturally in brown algae (Phaeophyceae), normally present on the cell walls of these organisms.
Alginate is a structural element designated to be the seaweed’s main skeletal compound likewise the cellulose function in terrestrial plants, with the gel located in the cell walls and intercellular matrix conferring the mechanical strength and flexibility necessary to withstand the force of the water in which the seaweed grows [1]. Moreover, this function is reflected in the compositional difference of alginates in different seaweeds.
Alginate varies in composition of the algae from 20 to 60% dry matter, but on average brown algae species has 40% alginate. Alginate in brown algae occurs as gels containing sodium, calcium, strontium, magnesium, and barium ions [2].
Alginate is not a compound exclusively of brown algae because there are bacteria that can also produce alginate, but currently all commercial alginate is extracted from algae biomass [3].
Industrial applications of alginate are linked to the gelation, viscosity, and stabilizer properties that alginate attributes to the solutions and products in which it is present. Normally the alginate is a matrix of alginic acid bound cations, such as calcium, sodium, or magnesium. These ions give greater stability to the alginic acid molecule, where the divalent cations give alginate a very rigid conformation and a stable structure unlike the alginate with monovalent cations.
The biotechnological applications of alginate are based on specific effects of the alginate molecule and its variations depending on the covalent bonds with cations, such as calcium, sodium, or magnesium, and this allows for a great number of applications in several variations of the structure and conformation of the alginate molecule.
Alginates are in vogue for specialized knowledge as a pharmaceutical or biomedical ingredient or as compound for advanced biotechnology, and these investigations are turning to a more detailed study of the properties and structure of alginate, leading to points of scientific innovation that, associated with empirical knowledge, will benefit the traditional techniques of alginate exploitation.
Alginic acid was first discovered and patented (patent date: 12 January 1881) by the British chemical scientist E. C. C. Stanford, and he continued the work on its discovery, contributing to the elucidation of the chemical structure of alginic acid [3]. The Stanford patent explains how the alginate can be extracted by soaking the algae with water or diluted acid, then extracting with sodium carbonate, and then precipitating the alginate present in the solution by addition of acid [4].
In the second decade of the twentieth century, some scientific groups working separately with alginate found that uronic acid was one of the constituents of alginic acid. Moreover, this discovery led to further study in the years to come. These investigations led to the discovery of D-mannuronic acid in hydrolyzed alginate samples. The nature of the bonds in the uronic acid residues in the alginate was identical to that in the cellulose, through the β 1, 4 bond.
It was only in the 1950s that with the work of Fischer and Dörfel [5], through a chromatographic study of uronic acids, the presence of a different uronic acid from what had been identified was discovered, identifying this new acid with L-guluronic acid. And that acid had a considerable quantity in the sample analyzed, and as such, a quantitative method was developed to determine the two acids present in alginate, mannuronic acid and guluronic acid.
Thereafter, alginate was identified as a binary copolymer composed of residues of guluronic and mannuronic acids, but in general, it was reported that alginic acid was chemically homogeneous and of equal chemical structure, independent of the raw material from which it was extracted.
This principle had to be scientifically proven, and the alginate had to be fractionated chemically from different sources to prove the theory. The development of fractionation techniques was done mainly by Haug [6], who helped the characterization alginate as a block copolymer and in the correlation between the block structure and the physical properties of an alginate with that composition.
The alginate is an unbranched biopolymer family. The alginates consist of 1,4-β-D-mannuronic acid (M) and 1,4 α-L-guluronic acid (G) monomers, with a homogeneous (poly-G, poly-M) or heterogeneous (MG) block composition, which was proven by partial acid hydrolysis. That is, each alginate-producing species may exhibit different alginate compositions and as such differences in the ratio of mannuronic and guluronic acid blocks, varying in composition and sequence [7]. The proportions of the two acids vary from species to species and from different parts of the same seaweed [8].
It was proven that the alginates do not have regular repeating units and that the distribution of the monomers along the polymer chain could not be described; hence the knowledge of the monomeric composition was not sufficient to determine the sequential structure of alginates from diverse species.
Alginate is found in seaweeds as salts of different metals, primarily sodium and calcium, in the intercellular regions and cell walls. Its biological functions in seaweeds are of structural and ion exchange type. Alginate enriched in polymannuronic acid is found in young cell wall tissue and/or intercellular regions, whereas polyguluronic-rich alginate is found in the cell wall having a high affinity for Ca2+, which is mainly responsible for gel strength [9]. Alginate polymer is synthesized in the cytoplasm and then transported to the cell surface [10].
The principal differentiation between algal and bacterial alginates at the molecular level is the presence of Ο-acetyl groups at C2 and/or C3 in the bacterial alginates [11].
The extraction methodology of alginate is recurring on the transforming of the insoluble mixture of the alginic acid salts prevenient of the cell wall in a soluble alginate salt, which is naturally recommended for aqueous high-affinity polysaccharide obtained from the main species of brown algae (e.g., Fucales and Laminariales). The industry uses brown seaweeds mainly from the genus
(a)
Various species are harvested, and some are even cultivated offshore (e.g.,
Brown seaweeds that grow in cold water and those growing at a temperature up to 20°C are more used because they have more alginic acid content than the brown seaweeds found in more warm waters. And due to more turbulent waters, the seaweeds produce more content than the same species in calmer waters [12].
The alginic acid appears in the seaweeds as an insoluble mixed salt. To extract it, it is necessary to convert the alginic acid into its soluble salt forms such as sodium or potassium [12]. The alginate is made alternately insoluble and soluble in solvent by ion exchange reactions to separate out from the other constituents of algae. As large molecules must diffuse out from the plant tissues, the seaweed is preferably reduced to small particles as a preliminary step. Therefore, the first step is to wash (dry, if necessary) and mill the seaweed. Alginate isolation is essentially an ion exchange process, and alginate is brought into solution as sodium alginate by treating it with a strong alkali, after a pre-treatment with hydrochloric acid before the extraction with sodium carbonate [13, 14]. There are several methods to separate the alginate from other soluble substances from the crude alginate extract solution.
For example, addition of alcohol [2] would precipitate out sodium alginate. Adding a solution of calcium chloride with good stirring would precipitate out calcium alginate, whereas adding hydrochloric acid would precipitate out alginic acid.
The extraction of alginate is done by mild acid treatments that remove undesirable compounds (normally, hydrochloric acid) and modify the cell wall alginate into alginic acid to obtain the best extract efficacy because the intercellular mucilage has been regarded as the principal site of alginic acid [15]. The alginic acid is recovered as a soluble sodium form by neutralizing with sodium carbonate or sodium hydroxide. The insoluble residue is removed by filtration, flotation, or centrifugation, and the soluble alginate is precipitated by conversion into alginic acid or calcium/sodium alginate. The alginic acid is then converted into the required counter ion by neutralization with appropriate hydroxides or chlorites. The difference in the alginate recovery process depends on the source and structure of constituents of alginate [13].
Alginates are used in the food, cosmetic, paper, agricultural, pharmaceutical, and biomedical industries and in other various industries; some are now starting to apply the alginates. The alginates overall are the main seaweed polymer, in terms of quantities, used by industry. There are different purity classes of alginates ready to apply for different uses; with that, the price of alginates varies according to the purity state and applications on the industry. For instance, the alimentary grade sodium alginate is priced at USD 6.5 and 11.0/kg, while pharmaceutical grade is valued at USD 13 and 15.5/kg. In Asia, more specifically in the Korean peninsula and in Japan,
Alginates are mainly used as thickeners and stabilizers in the food, pharmaceutical, and cosmetic industries, because they are easy to use, has a low cost, are well tolerated in the human, and can be easily modified for determined objective and in the different fields.
Today, the global seaweed industry is worth more than USD 6 billion per annum (approximately 12 million tons per annum in volume) of which 85% is in the food area for human consumption. Seaweed-derived polysaccharides (carrageenan, agar, and alginates) make up almost 40% of the world’s hydrocolloid market [18].
The global alginate market size was valued at USD 624.0 million in 2016. The demand for alginates in the food industry will be increasing by consumption of frozen desserts, ice creams, beer, and yogurt; with that, it is anticipated to push a salient market growth of alginate value and use.
The application of the alginates in the food industry is permitted and regulated by the major regulatory agencies including the FDA and European Commission, which stimulates the high interest in alginate. The increasing of food industry in Asia, due to the growth in habitants, is expected to run a higher demand of alginate in that area. Therefore, this alginates-based products acceptance by the manufacturing industries is expected to growth, such as biomedical industry and its high demand for alginate with high quality. The product is mainly used in the pharmaceutical industry for the production of controlled-release drugs due to superior product performance [19].
Corporations in the market devote to the investigation and development of new advanced product grades to captivate costumers. Extraordinary financing by national governments and alginate industries on route to the growth of seaweed processing is predicted to help the alginate-based industry’s expansion and success. Nevertheless, such high search for alginate can have as outcome a limited raw material availability, and the alginate industry is now evaluating the production of alginate with seaweeds of aquaculture (mainly offshore, at this moment in the North Atlantic Area and China).
There is a large market for any brown seaweed that has an alginate of medium to high viscosity or high gel strength [20].
Alginate present in the brown algae (in the form of alginic acid) constituted a functional element of the traditional fertilizers, allowing the water retention in the soils. So, the principal function of alginate on agricultural area was as a soil conditioner. Being a superabsorbent (SAP) or water-retaining material is an advantage of alginate. They are natural materials that can absorb large amounts of water, as much as hundreds of times their own mass. These alginates are generally known in agriculture as nonionic or ionic moisture-holding hydrogels for increasing soil water retention, which is a basic soil property.
The reservation of moisture or water in the soil is the major process consequence in which all plantations depend. The large pore spaces in arenaceous soils restrain the soil from holding water, and the soil dries out regularly, and precious nutrients wash away past the plant roots. The inclusion of alginate can solve the lack of retention of water and raise nutrient disponibility. High-capacity absorbents definitely can upsurge the water-retention capacity in such soils.
Superabsorbents (SAP) in agricultural areas have been designed and developed to provoke an enrichment of the abiotic properties of soil by rising their water-retention ability, developing a better water usage efficiency, enhancing soil permeability and infiltration rates, contributing to lower the irrigation frequency, lowering the compaction shift, preventing erosion and water drainage, enhancing plant performance, increasing soil aeration, lowering the dissolution of fertilizers, developing a better adsorption capacity or enhancing the uptake of some nutrient elements by the plants, and provoking a raise of the microbial activity [21].
The alginate of seaweed directly suppresses the pathogens [22]. Indeed, alginate pellets developed as carrier material for biocontrol agents have been reported to reduce multiplication of
In other cases, the alginate will have other particular function, as the main characteristic of alginate as product principal emulsifier and to delivery control of actives ingredients in agricultural field. The active ingredient is mixed with alginates for their safer, easier, and more accurate handling as well as for their effective application in the field and, at the same time, preventing the immediate release of the active ingredient, so the main drawback associated with these formulations can be avoided. These alginate-based systems are able to deliver the active ingredient gradually for a long period of time in a specified target with a desired rate [27, 28, 29]. The controlled-release systems do not release the active ingredient at once; this technique therefore lowers the pesticide residues in soil and thus reduces the direct effect of pesticide. After their degradation, these are helpful as compost in the field [30].
Alginate is also used as an inoculant carrier for plant growth-promoting bacteria [31, 32] and for bacteria with biodegradation ability [33].
The conventional role of alginate in the biomedical area includes being used as thickening, gel-forming, and stabilizing agents, as alginate can play a significant role in controlled-release drug products. But the main use of alginate in the biomedical area is actually in hydrogel form, used in the wound healing [34], drug delivery, and tissue engineering applications. Alginate hydrogels are biocompatible and structurally identical to the macromolecular-based components in the human body and can regularly be convoyed into the body by minor invasive techniques of administration to the select human body [35].
In this area, there is a need that the alginate used and tested is pure as maximum as possible, because the impurities will compromise the biocompatibility of the biomaterial with alginate [36].
The utmost captivating characteristics of alginate for the biomedical applications involve the natural biocompatibility, mild gelation conditions, and easy adaptation to assemble alginate derivatives with new properties and characteristics. Alginate has a safe clinical sheet for biomedical applications as a wound dressing material and pharmaceutical component and has been harmlessly inserted in a wide range of utilizations.
The conception of new biomaterials is centralized on the resemblance in the functions of the extracellular matrices of body tissues, as these can manage the host feedback/responses in an accurate behavior, and materials derived from natural sources have gained a lot of interest, mainly because of their inherent biocompatibility. At this moment, alginate and its derivatives are one of the best chemically known biopolymers in the world, and it has been extensively investigated and used for many biomedical applications, due to its biocompatibility, low toxicity, relatively low cost, and mild gelation by addition of divalent cations such as Ca2+ [37].
The great challenge in this area is complementing the physical feature of alginate gels with specific use in a precise utilization. Taking in consideration the great range of different possible cross-linking approaches, employing molecules with diversified chemical structures, molecular weights, and cross-linking capabilities will usually turnout gels applicable for specifics different types of application [36].
Alginate-based wound dressings keep the physiologically humid microenvironment, lowering the risks of a bacterial infection at the wound location and promoting an easy wound healing. Drug compounds, from small chemical drugs to macromolecular proteins, can be liberated from alginate gels in a skillful way, revolving around in the cross-links types and cross-linking methodology applied.
The therapy of acute and chronic wounds is a major need in various areas of medicine, and alginate-based wound dressings have various beneficial properties. Traditional wound dressings, such as gauze, provide principally a good barrier property—maintaining the wound dry by granting the evaporation of wound exudates and preventing the passage of pathogens into the wound [38]. In the opposite way, the modern dressings, likewise the alginate dressings, contribute to a moist wound environment and aid an easy wound healing [39].
New wound dressing types with alginate that are more functional and bioactive have been studied and developed up to this date.
Alginate gels are additionally an excellent compound for cell transplantation in the tissue engineering area. The main objective of tissue engineering was to develop and produce man-made tissue and organ replacements for patients who suffer the loss or failure of an organ or tissue [40]. In this field, hydrogels are used to deliver cells to the specific location, providing an area for new tissue formation and, moreover, controlling the structure and function of the engineered tissue [41].
Even with recent developments in the area, the treatment of bone injuries is restricting because of the poor healing and complex bone healing system. In this case, alginate gels have been tested with success in bone regeneration by delivery of osteoinductive factors, bone-forming cells, or a mixture of both [42].
Alginate gels have been described to be effective for transplanting chondrogenic cells to recover damaged cartilage in animal models [43].
Alginate gels are also being actively investigated for their ability to mediate the regeneration and engineering of a variety of other tissues and organs, including skeletal muscle, nerve, the pancreas, and the liver. Actual plans for skeletal muscle regeneration involve the cell transplantation, growth factor delivery, or a combination of both approaches [44, 45], and alginate gels have been described as potential hypothesis in these strategies.
Alginate derivatives containing cell-adhesive peptides have been gaining significant attraction in the last years. These derivatives are normally prepared by chemically including peptides as side chains, applying carbodiimide chemistry to connect via the carboxylic groups of the sugar residues. Considering that alginate intrinsically do not have mammalian cell adhesiveness, pertinent ligands are essential to develop and manage cellular interactions, principally for cell culture [36].With that, the alginate gels are now being utilized much more as a model system for mammalian cell culture in this field. And one of the advantages is that the gels can be adapted to 2D or more physiologically relevant 3D culture systems.
The absence of mammalian cell receptors joined with the low protein adsorption to the gels enables the utilization of these materials in many ways as an ideal blank slate, with highly specific and quantitative modes for cell adhesion that can be incorporated. Also development demonstrated with in vitro studies can be readily translated in vivo, because of the inherent biocompatibility and easy introduction of alginate into the body [36].
Alginate hydrogels have been widely investigated to date in many drug delivery applications, due to their adjustable swelling properties in response to temperature changes, leading to on-demand modulation of drug release from the gels [46].
Alginate is a nondegradable material in mammals, as the mammals do not have enzymes (i.e., alginase) that can break the alginate chains, but ionically cross-linked alginate-base gels can be disassociated by release of the divalent ions cross-linking the gel into the surrounding media. Despite the gel dissolution, the average molecular weights of many commercially available alginates are higher than the renal clearance threshold of the kidneys, and presumably dissolved alginate isn’t removed from the body with 100% efficiency [47].
Alginate has also been greatly explored in plenty drug delivery systems merged with chitosan, and this blend forms ionic complexes. Chitosan is a derivative of chitin [48].
Alginate is an attractive and exceptional contender for the protein drug delivery systems, considering that alginate-based materials/gels can incorporate proteins [49, 50]. The delivery in this scenario can be easily exploited by modifying the degradation rate of the gels [50].
Also, alginate can serve as an agent against heavy metal poisoning, and it is proven that it can be an effective coadjuvant in the case of food poisoning [51].
On the medical side, there has been an increment of interest to use alginate as a pharmaceutical ingredient to treat some diseases or health problems:
Diabetes—This bioactivity is related to the hypoglycemic activity from alginate [52].
Cholesterol—The alginate on the assay in article [52] with rats provides interesting results, with cholesterol excretion from the rats and hypocholesterolemic effect from alginate.
Obesity—The capacity of alginate to swell and so occupy space on the stomach of the patient provides a satiety effect which can help people lose weight and provide a management tool for the medical personnel [53];
Digestive tract problems—The alginate is used as dietary fiber and can regulate the intestinal tract.
Environmental bioremediation is a profitable and promising technology, which can lead to complete mineralization of organic pollution. Bioaugmentation (introduction of selected microorganisms to supplement indigenous populations) is one of the bioremediation approaches [54]. Entrapment in alginate gel is a widely used approach for immobilization of microorganisms to improve their viability (Figure 1f) [55].
Alginate is a natural chelating agent and a bio-adsorbent of heavy metals in aqueous solution; it has high affinity and binding capacity for metal ions and, thus, is widely used as a heavy metal adsorbent for environmental protection [56]. Alginate-clay composites are suitable for environmental remediation as sorbents of heavy metals [57] and persistent organic pollutants [58].
Alginates are an omnipresent ingredient of cosmetics. They usually are utilized as emulsifiers, consistency enhancers, and thickening agents in cosmetic formulas, forming a moisture-retaining surface film. They can have some kind of active effect, such as skin protection, because they retain water and maintain the skin rehydrated [59].
Alginates are water-insoluble; however, they can swell, as mentioned before. Thus, they are like hyaluronic acid, so they can absorb more water as much as several hundreds of times its weight.
They are used in hand jellies and lotions, ointment bases, pomades and other similar preparations, greaseless creams, dentifrices, and other products that became more green and environmentally friendly [60, 61].
Alginate has also been described as an anti-oxidative agent and can be applied to prevent skin aging and cutaneous disorders. Additionally, antioxidants can help to maintain the organoleptic properties of cosmetic products by inhibiting lipid oxidation, thus avoiding changes in appearance, odor, and flavor [62].
Alginates are commonly used in the food industry as natural additives; they have codes from the European Union as food additives, and these codes vary with the ion type associated with alginic acid [15, 63].
European codes for alginates are as follows: alginic acid, E400; sodium alginate, E401; potassium alginate, E402; ammonium alginate, E403; calcium alginate, E404; and propylene glycol alginate, E405.
Seaweed polysaccharide applications in food industries are based mainly on their stabilizing, emulsifying, and gel-forming ability. They are widely used as food additives in jams, jellies, ice creams, dairy products, etc., to improve and stabilize the structure of food.
Water-in-oil emulsions likewise the mayonnaise and the salad fillings are less liable to fractionate toward their original oil and water phases if thickened with alginate. When the emulsion is acidic, the sodium alginate will precipitate into insoluble alginic acid forms; to resolve this problem, propylene glycol alginate (PGA) is used for acidic emulsions, because this compound is stable in mild acid conditions [63].
The advantage of alginate in the food industry is that humans do not have enzymes to break the molecule; therefore, alginate behaves as a dietary fiber, enhancing the satiety and reducing the food intake of humans, lowering the energy intake by human, and preventing obesity [53].
Hydrocolloids were the first elastic materials to be used in the dental field, and their results are fundamental to form a first “idea” about the patient’s oral health status.
The alginate is used as irreversible footprint compound to emulate a footprint faithfully, giving details in a high-definition footprint although there is an existence of undercuts.
The main alginate advantages are the fact that they are low cost, do not react adversely on the patient, and can be easily manipulated and that the technique can be performed within a short period of time and has simple execution, lack of instrumentation, and high-definition footprint, even with the presence of undercuts, in a single-step methodology.
Alginate picking reaction is a chemical reaction of irreversible precipitation; therefore they cannot return in soluble form using physical means, such as temperature, as with reversible hydrocolloids [64].
Packaging dominates the waste generated from plastics. Since the European Union synthetic plastic ban, alginate is one of the most suitable alternatives to fabricate packaging material due to their nontoxicity, biodegradability, and derivability from renewable natural resources.
With the bibliography analysis, it can be resumed that additives such as nonmaterial and antimicrobial compounds can improve various characteristics of the films and the packaging with antimicrobial activity is highly desirable in films to improve the shelf life of packed food products [56].
In textile printing, alginates are used as thickeners for the paste containing the dye. These pastes may be applied to the fabric by the use of either screen or roller printing equipment. These combine chemically with cellulose in the fabric. Alginates don’t interact with the dyes; also they can be washed out of the finalized textile and are considered the first-rate thickeners to the reactive dyes [20].
The principal alginate application in the paper industry is in surface sizing. Alginate is mixed with starch sizing giving a smooth uninterrupted film and a surface with less fluffing. The oil resistance derivate from alginate films allows a size with improved greaseproof and oil-resistant properties. This can enhance the gloss obtained with high gloss inks.
If papers or boards need to be waxed, alginate in the size maintains the wax at the surface.
Alginates provide a better coating runnability than other similar compounds/products, specifically in hot, on-machine coating applications.
They are also exceptional film formers and enhance the ink printability and resistance. In the size, the normal mixture of alginate is 5–10% of the total weight of starch. Alginate is used in the starch adhesives to form corrugated boards, because it stabilizes the viscosity of the adhesive and allows control of its rate of penetration [20].
The applications of alginates in new areas has proven the multi-role capacity of alginates, such as supportive agent for silicon nanopowder to yield a stable battery anode that possesses reversible capacity eight times higher than that of the state-of-the-art graphitic anodes. Improved performance characteristics prevent the dramatic volume changes during electrochemical alloying and de-alloying with Li, which typically leads to rapid anode degradation [65].
In the specialized clothing industry, the alginate anti-fire capacity was proven to be effective. The new alginate-based materials are showing enormous potential to be applied in building insulation materials and textile industry [66, 67, 68]
Humans use seaweed since the inception of civilization due to its medicinal properties and other properties, such as manure for the infertile soils. There is also a long history of alginate usage in foods as additives and as emulsifying, gelling, and stabilizing agents. And those characteristics open new areas and industries where alginate can be harnessed and used with success.
In bioremediation, the alginate can act as heavy metal chelating agent and support new technology to rehabilitate the degraded ecosystems.
This function can also serve as medical support to patients poisoned with heavy metals.
Although it was discovered in 1881, one of the main characteristics of alginate was used for a long time without notice: this was as soil conditioner by Europeans and other people since the Bronze Age.
Alginate is one of the easiest and low-cost natural polymers, and because of these particularities, alginate is the most researched polymer among all seaweed polysaccharides. Alginate advantages are now being explored for innovations on other areas, and that is improving the knowledge about alginates.
On the biomedical area, the alginate-based compounds/products will be on the front line of the new emergent methods and techniques evolving the human and animal health in various medical areas. This is happening now with wound dressings and the addition of regeneration factors in the alginate-based ones.
It is believed that with the new demand of natural polymers to substitute synthetic polymers, the alginate from various forms will be harnessed and will gain new types of applications in the industries that work with polymers. That demand is now sorting effects with the increment of investigation and development of new techniques and methods to work with alginate and its subforms, such as alginate-nanoclay complexes.
This work had the support of Fundação para a Ciência e Tecnologia (FCT), through the strategic project UID/MAR/04292/2019 granted to MARE. This work also received funding from the European Structural and Investment Funds through the COMPETE Programme and from National Funds through Fundação para a Ciência e a Tecnologia (FCT) under the program grant SAICTPAC/0019/2015.
This work is also co-financed by the European Regional Development Fund through the Interreg Atlantic Area Programme, under the project NASPA.
The authors declare no conflict of interest.
Emotion plays a significant role in daily interpersonal human interactions. This is essential to our rational as well as intelligent decisions. It helps us to match and understand the feelings of others by conveying our feelings and giving feedback to others. Research has revealed the powerful role that emotion play in shaping human social interaction. Emotional displays convey considerable information about the mental state of an individual. This has opened up a new research field called automatic emotion recognition, having basic goals to understand and retrieve desired emotions. In prior studies, several modalities have been explored to recognize the emotional states such as facial expressions [1], speech [2], physiological signals [3], etc. Several inherent advantages make speech signals a good source for affective computing. For example, compared to many other biological signals (e.g., electrocardiogram), speech signals usually can be acquired more readily and economically. This is why the majority of researchers are interested in speech emotion recognition (SER). SER aims to recognize the underlying emotional state of a speaker from her voice. The area has received increasing research interest all through current years. There are many applications of detecting the emotion of the persons like in the interface with robots, audio surveillance, web-based E-learning, commercial applications, clinical studies, entertainment, banking, call centers, cardboard systems, computer games, etc. For classroom orchestration or E-learning, information about the emotional state of students can provide focus on the enhancement of teaching quality. For example, a teacher can use SER to decide what subjects can be taught and must be able to develop strategies for managing emotions within the learning environment. That is why learner’s emotional state should be considered in the classroom.
\nThree key issues need to be addressed for successful SER system, namely, (1) choice of a good emotional speech database, (2) extracting effective features, and (3) designing reliable classifiers using machine learning algorithms. In fact, the emotional feature extraction is a main issue in the SER system. Many researchers [4] have proposed important speech features which contain emotion information, such as energy, pitch, formant frequency, Linear Prediction Cepstrum Coefficients (LPCC), Mel-frequency cepstrum coefficients (MFCC), and modulation spectral features (MSFs) [5]. Thus, most researchers prefer to use combining feature set that is composed of many kinds of features containing more emotional information [6]. However, using a combining feature set may give rise to high dimension and redundancy of speech features; thereby, it makes the learning process complicated for most machine learning algorithms and increases the likelihood of overfitting. Therefore, feature selection is indispensable to reduce the dimensions redundancy of features. A review for feature selection models and techniques is presented in [7]. Both feature extraction and feature selection are capable of improving learning performance, lowering computational complexity, building better generalizable models, and decreasing required storage. The last step of speech emotion recognition is classification. It involves classifying the raw data in the form of utterance or frame of the utterance into a particular class of emotion on the basis of features extracted from the data. In recent years in speech emotion recognition, researchers proposed many classification algorithms, such as Gaussian mixture model (GMM) [8], hidden Markov model (HMM) [9], support vector machine (SVM) [10, 11, 12, 13, 14], neural networks (NN) [15], and recurrent neural networks (RNN) [16, 17, 18]. Some other types of classifiers are also proposed by some researchers such as a modified brain emotional learning model (BEL) [19] in which the adaptive neuro-fuzzy inference system (ANFIS) and multilayer perceptron (MLP) are merged for speech emotion recognition. Another proposed strategy is a multiple kernel Gaussian process (GP) classification [17], in which two similar notions in the learning algorithm are presented by combining the linear kernel and radial basis function (RBF) kernel. The Voiced Segment Selection (VSS) algorithm also proposed in [20] deals with the voiced signal segment as the texture image processing feature which is different from the traditional method. It uses the Log-Gabor filters to extract the voiced and unvoiced features from spectrogram to make the classification.
\nIn previous work [21], we present a system for the recognition of «seven acted emotional states (anger, disgust, fear, joy, sadness, and surprise)». To do that, we extracted the MFCC and MS features and used them to train three different machine learning paradigms (MLR, SVM, and RNN). We demonstrated that the combination of both features has a high accuracy above 94% on the Spanish database. All previously published works generally use the Berlin database. To our knowledge, the Spanish emotional database has never been used before. For this reason, we have chosen to compare them. In this chapter, we concentrate to improve accuracy; more experiments have been performed. This chapter mainly makes the following contributions:
The effect of speaker normalization (SN) is also studied, which removes the mean of features and normalizes them to unit variance. Experiments are performed under a speaker-independent condition.
Additionally, a feature selection technique is assessed to obtain good features from the set of features extracted in [21].
The rest of the chapter is organized as follows. In the next section, we start by introducing the nature of speech emotions. Section 3 describes features we extracted from a speech signal. A feature selection method and machine learning algorithms used for SER are presented. Section 4 reports on the databases we used and presents the simulation results obtained using different features and different machine learning (ML) paradigms. Section 5 closes this chapter by analyses and conclusion.
\nThis section is concerned with defining the term emotion, presenting its different models. Also for recognizing emotions, there are several techniques and inputs that can be used. A brief description of all of the techniques is presented here.
\nA definition is both important and difficult because the everyday word “emotion” is a notoriously fluid term in meaning. Emotion is one of the most difficult concepts to define in psychology. In fact, there are different definitions of emotions in the scientific literature. In everyday speech, emotion is any relatively brief conscious experience characterized by intense mental activity and a high degree of pleasure or displeasure [22, 23]. Scientific discourse has drifted to other meanings and there is no consensus on a definition. Emotion is often entwined with temperament, mood, personality, motivation, and disposition. In psychology, emotion is frequently defined as a complex state of feeling that results in physical and psychological changes. These changes influence thought and behavior. According to other theories, emotions are not causal forces but simply syndromes of components such as motivation, feeling, behavior, and physiological changes [24]. In 1884, in
The categorization of emotions has long been a hot subject of debate in different fields of psychology, affective science, and emotion research. It is mainly based on two popular approaches: categorical (termed discrete) and dimensional (termed continuous). In the first approach, emotions are described with a discrete number of classes. Many theorists have conducted studies to determine which emotions are basic [27]. A most popular example is Ekman [28] who proposed a list of six basic emotions, which are anger, disgust, fear, happiness, sadness, and surprise. He explains that each emotion acts as a discrete category rather than an individual emotional state. In the second approach, emotions are a combination of several psychological dimensions and identified by axes. Other researchers define emotions according to one or more dimensions. Wilhelm Max Wundt proposed in 1897 that emotions can be described by three dimensions: (1) strain versus relaxation, (2) pleasurable versus unpleasurable, and (3) arousing versus subduing [29]. PAD emotional state model is another three-dimensional approach by Albert Mehrabian and James Russell where PAD stands for pleasure, arousal, and dominance. Another popular dimensional model was proposed by James Russell in 1977. Unlike the earlier three-dimensional models, Russell’s model features only two dimensions which include (1) arousal (or activation) and (2) valence (or evaluation) [29].
\nThe categorical approach is commonly used in SER [30]. It characterizes emotions used in everyday emotion words such as joy and anger. In this work, a set of six basic emotions (anger, disgust, fear, joy, sadness, and surprise) plus neutral, corresponding to the six emotions of Ekman’s model, were used for the recognition of emotion from speech using the categorical approach.
\nThere is vigorous debate about what exactly individual can express nonverbally. Humans can express their emotions through many different types of nonverbal communication including facial expressions, quality of speech produced, and physiological signals of the human body. In this section, we discuss each of these categories.
\nThe human face is extremely expressive, able to express countless emotions without saying a word [31]. And unlike some forms of nonverbal communication, facial expressions are universal. The facial expressions for happiness, sadness, anger, surprise, fear, and disgust are the same across cultures.
\nIn addition to faces, voices are an important modality for emotional expression. Speech is a relevant communicational channel enriched with emotions: the voice in speech not only conveys a semantic message but also the information about the emotional state of the speaker. Some important voice feature vectors that have been chosen for research such as fundamental frequency, mel-frequency cepstral coefficient (MFCC), prediction cepstral coefficient (LPCC), etc.
\nThe physiological signals related to autonomic nervous system allow to assess objectively emotions. These include electroencephalogram (EEG), heart rate (HR), electrocardiogram (ECG), respiration (RSP), blood pressure (BP), electromyogram (EMG), skin conductance (SC), blood volume pulse (BVP), and skin temperature (ST) [32]. Using physiological signals to recognize emotions is also helpful to those people who suffer from physical or mental illness thus exhibit problems with facial expressions or tone of voice.
\nOur SER system consists of four main steps. First is the voice sample collection. The second features vector that is formed by extracting the features. As the next step, we tried to determine which features are most relevant to differentiate each emotion. These features are introduced to machine learning classifier for recognition. This process is described in Figure 1.
\nBlock diagram of the proposed system.
The speech signal contains a large number of parameters that reflect the emotional characteristics. One of the sticking points in emotion recognition is what features should be used. In recent research, many common features are extracted, such as energy, pitch, formant, and some spectrum features such as linear prediction coefficients (LPC), mel-frequency cepstrum coefficients (MFCC), and modulation spectral features. In this work, we have selected modulation spectral features and MFCC, to extract the emotional features.
\nSchema of MFCC extraction [
In our research, we extract the first 12 order of the MFCC coefficients where the speech signals are sampled at 16 KHz. For each order coefficients, we calculate the mean, variance, standard deviation, kurtosis, and skewness, and this is for the other all the frames of an utterance. Each MFCC feature vector is 60-dimensional.
\nProcess for computing the ST representation [
As reported by Aha and Bankert [34], the objective of feature selection in ML is to “reduce the number of features used to characterize a dataset so as to improve a learning algorithm’s performance on a given task.” The objective will be the maximization of the classification accuracy in a specific task for a certain learning algorithm; as a collateral effect, the number of features to induce the final classification model will be reduced. Feature selection (FS) aims to choose a subset of the relevant features from the original ones according to certain relevance evaluation criterion, which usually leads to higher recognition accuracy [35]. It can drastically reduce the running time of the learning algorithms. In this section, we present an effective feature selection method used in our work, named recursive feature elimination with linear regression (LR-RFE).
\nMany machine learning algorithms have been used for discrete emotion classification. The goal of these algorithms is to learn from the training samples and then use this learning to classify new observation. In fact, there is no definitive answer to the choice of the learning algorithm; every technique has its own advantages and limitations. For this reason, here we chose to compare the performance of three different classifiers.
\nInputs: Class models \n
Output: Class of \n
1. \n
2. \n
3. Distance calculation between original and predicted response variables \n
4. Decision is made in favor of the class with the minimum distance \n
Figure 4 shows a basic concept of RNN implementation. Unlike traditional neural network that uses different parameters at each layer, the RNN shares the same parameters (U, V, and W are presented in Figure 4) across all steps. The hidden state formulas and variables are as follows:
\nA basic concept of RNN and unfolding in time of the computation involved in its forward computation [
where \n
The performance and robustness of the recognition systems will be easily affected if it is not well trained with a suitable database. Therefore, it is essential to have sufficient and suitable phrases in the database to train the emotion recognition system and subsequently evaluate its performance. There are three main types of databases: acted emotions, natural spontaneous emotions, and elicited emotions [27, 44]. In this work, we used an acted emotion databases because they contain strong emotional expressions. The literature on speech emotion recognition [45] shows that the majority of studies have been conducted with emotional acted speech. In this section, we detailed the two emotional speech databases used for classifying discrete emotions in our experiments: Berlin Database and Spanish Database.
\nThe Berlin database [46] is widely used in emotional speech recognition. It contains 535 utterances spoken by 10 actors (5 female, 5 male) in 7 simulated emotions (anger, boredom, disgust, fear, joy, sadness, and neutral). This database was chosen for the following reasons: (i) the quality of its recording is very good, and (ii) it is public [47] and popular database of emotion recognition that is recommended in the literature [19].
\nThe INTER1SP Spanish emotional database contains utterances from two professional actors (one female and one male speaker).The Spanish corpus that we have the right to access (free for academic and research use) [48] was recorded twice in the «six basic emotions plus neutral (anger, sadness, joy, fear, disgust, surprise and neutral/normal)». Four additional neutral variations (soft, loud, slow, and fast) were recorded once. This is preferred to other created database because it is available for researchers use and it contains more data (6041 utterances in total). This paper has focused on only seven main emotions from the Spanish database in order to achieve a higher and more accurate rate of recognition and to make the comparison with the Berlin database detailed above.
\nIn this section, experimentation results are presented and discussed. We report the recognition accuracy of using MLR, SVM, and RNN classifiers. Experimental evaluation is performed on the Berlin and Spanish databases. All classification results are obtained under tenfold cross-validation. Cross-validation is a common practice used in performance analysis that randomly partitions the data into N complementary subsets, with \n
\n | \n | \n | \n | Recognition rate (%) | \n\n | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Test | \nFeature | \nMethod | \nSN | \nA | \nE | \nF | \nL | \nN | \nT | \nW | \nAVG. | \n(\n | \n
#1 | \nMS | \nMLR | \nNo | \n45.90 | \n45.72 | \n48.78 | \n77.08 | \n59.43 | \n79.91 | \n75.94 | \n66.23 | \n(5.85) | \n
MFCC | \n56.55 | \n62.28 | \n45.60 | \n54.97 | \n57.35 | \n74.36 | \n91.37 | \n64.70 | \n(3.20) | \n|||
MFCC+SM | \n70.26 | \n73.04 | \n51.95 | \n82.44 | \n69.55 | \n82.49 | \n76.55 | \n73.00 | \n(3.23) | \n|||
#2 | \nMS | \nSVM | \nNo | \n56.61 | \n54.78 | \n51.17 | \n70.98 | \n67.32 | \n67.50 | \n73.13 | \n70.63 | \n(6.45) | \n
MFCC | \n73.99 | \n64.14 | \n64.76 | \n55.30 | \n62.28 | \n84.13 | \n83.13 | \n71.70 | \n(4.24) | \n|||
MFCC+SM | \n82.03 | \n68.70 | \n69.09 | \n79.16 | \n76.99 | \n80.89 | \n80.63 | \n81.10 | \n(2.73) | \n|||
#3 | \nMS | \nMLR | \nYes | \n48.98 | \n35.54 | \n32.66 | \n80.35 | \n55.54 | \n88.79 | \n85.77 | \n64.20 | \n(5.27) | \n
MFCC | \n59.71 | \n59.72 | \n48.65 | \n67.10 | \n67.98 | \n91.73 | \n87.51 | \n71.00 | \n(4.19) | \n|||
MFCC+SM | \n72.32 | \n68.82 | \n51.98 | \n82.60 | \n81.72 | \n91.96 | \n80.71 | \n75.25 | \n(2.49) | \n|||
#4 | \nMS | \nSVM | \nYes | \n62.72 | \n49.44 | \n37.29 | \n76.14 | \n71.30 | \n88.44 | \n80.15 | \n71.90 | \n(2.38) | \n
MFCC | \n70.68 | \n56.55 | \n56.99 | \n59.88 | \n68.14 | \n91.88 | \n85.44 | \n77.60 | \n(4.35) | \n|||
MFCC+SM | \n77.37 | \n69.67 | \n58.16 | \n79.87 | \n88.57 | \n98.75 | \n86.64 | \n81.00 | \n(2.45) | \n
Recognition results with MS, MFCC features, and their combination on Berlin database; AVG. denotes average recognition rate; \n
Berlin (a, fear; e, disgust; f, happiness; l, boredom; n, neutral; t, sadness; w, anger).
\n | \n | \n | \n | Recognition rate (%) | \n\n | \n | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Test | \nFeature | \nMethod | \nSN | \nA | \nD | \nF | \nJ | \nN | \nS | \nT | \nAVG. | \n(\n | \n
#1 | \nMS | \nMLR | \nNo | \n67.72 | \n44.04 | \n68.78 | \n46.95 | \n89.58 | \n63.10 | \n78.49 | \n69.22 | \n(1.37) | \n
MFCC | \n67.85 | \n61.41 | \n75.97 | \n60.17 | \n95.79 | \n71.89 | \n84.94 | \n77.21 | \n(0.76) | \n|||
MFCC+SM | \n78.75 | \n78.18 | \n80.68 | \n63.84 | \n96.80 | \n82.44 | \n89.01 | \n83.55 | \n(0.55) | \n|||
#2 | \nMS | \nSVM | \nNo | \n70.33 | \n69.38 | \n78.09 | \n60.97 | \n89.25 | \n69.38 | \n85.95 | \n80.98 | \n(1.09) | \n
MFCC | \n79.93 | \n79.02 | \n81.81 | \n75.71 | \n93.77 | \n80.15 | \n92.01 | \n90.94 | \n(0.93) | \n|||
MFCC+SM | \n84.90 | \n88.26 | \n89.44 | \n80.90 | \n96.58 | \n83.89 | \n95.63 | \n89.69 | \n(0.62) | \n|||
#3 | \nMS | \nMLR | \nYes | \n64.76 | \n49.02 | \n66.87 | \n44.52 | \n87.50 | \n58.26 | \n78.70 | \n67.84 | \n(1.27) | \n
MFCC | \n66.54 | \n57.83 | \n74.56 | \n56.98 | \n94.02 | \n72.32 | \n89.63 | \n76.47 | \n(1.51) | \n|||
MFCC+SM | \n77.01 | \n78.45 | \n80.50 | \n64.18 | \n94.42 | \n80.14 | \n91.29 | \n83.03 | \n(0.97) | \n|||
#4 | \nMS | \nSVM | \nYes | \n69.81 | \n70.35 | \n75.44 | \n52.60 | \n86.77 | \n66.94 | \n82.57 | \n78.40 | \n(1.64) | \n
MFCC | \n77.45 | \n77.41 | \n80.99 | \n69.47 | \n91.89 | \n75.17 | \n93.50 | \n87.47 | \n(0.95) | \n|||
MFCC+SM | \n85.28 | \n84.54 | \n84.49 | \n73.47 | \n93.43 | \n81.79 | \n94.04 | \n86.57 | \n(0.72) | \n
Recognition results with MS, MFCC features, and their combination on Spanish database.
Spanish (a, anger; d, disgust; f, fear; j, joy; n, neutral; s, surprise; t, sadness).
Dataset | \nFeature | \nSN | \nAverage (avg) | \nStandard deviation (\n | \n
---|---|---|---|---|
Berlin | \nMS | \nNo | \n66.32 | \n5.93 | \n
MFCC | \n69.55 | \n3.91 | \n||
MFCC+MS | \nYes | \n63.67 | \n7.74 | \n|
MS | \n68.94 | \n5.65 | \n||
MFCC | \n73.08 | \n5.17 | \n||
MFCC+MS | \n\n | 76.98 | \n4.79 | \n|
Spanish | \nMS | \nNo | \n82.30 | \n2.88 | \n
MFCC | \n86.56 | \n2.80 | \n||
MFCC+MS | \n90.05 | \n1.64 | \n||
MS | \nYes | \n82.14 | \n1.67 | \n|
MFCC | \n86.21 | \n1.22 | \n||
MFCC+MS | \n87.02 | \n0.36 | \n
Recognition results using RNN classifier based on Berlin and Spanish databases.
From Table 1, it can be concluded that applying SN improves recognition results for Berlin database. But this is not the case for the Spanish database, as demonstrated in Tables 2 and 3. Results are the same with the three different classifiers. This can be explained by the number of speakers in each database. The Berlin database contains 10 different speakers, compared to the Spanish database that contains only two speakers and probably the language impact. As regarding the RNN method, we found that combining both types of features has the worst recognition rate for the Berlin database, as shown in Table 3. That is because the RNN model has too many parameters (155 coefficients in total) and a poor training data. This is the phenomena of overfitting. This is confirmed by the fact that when we reduced the number of features from 155 to 59 features, the results show an increase of above 13%, as shown in Table 4. To investigate whether a smaller feature space leads to better recognition performance, we repeated all evaluations on the development set by applying a recursive feature elimination (LR-RFE) for each modality combination. The stability of RFE depends heavily on the type of model that is used for feature ranking at each iteration. In our case, we tested the RFE based on an SVM and regression models; we found that using linear regression provides more stable results. We observed from the previous results that the combination of the features gives the best results. So we applied LR-RFE feature selection only for this combination to improve accuracy. In this work, a total of 155 features were used; best features were chosen from feature selection. Fifty-nine features were selected by RFE feature selection method based on LR from the Berlin database and 110 features from the Spanish database. The corresponding results of LR-RFE can be seen in Table 4. For most setting using the Spanish database, LR-RFE does not significantly improve the average accuracy. However, for recognition based on Berlin database using the three classifiers, LR-RFE leads to a remarkable performance gain, as shown in Figure 5. This increases the average of MFCC combined with MS features from 63.67 to 78.11% for RNN classifier. These results are illustrated in Table 4. For the Spanish database, the feature combination of MFCC and MS after applying LR-RFE selection using RNN has the best recognition rate which is above 94.01%.
\nSN | \nClassifier | \nLR-RFE | \nBerlin | \nSpanish | \n
---|---|---|---|---|
No | \nMLR | \nNo | \n73.00 (3.23) | \n83.55 (0.55) | \n
Yes | \n79.40 (3.09) | \n84.19 (0.96) | \n||
SVM | \nNo | \n81.10 (2.73) | \n89.69 (0.62) | \n|
Yes | \n80.90 (3.17) | \n90.05 (0.80) | \n||
RNN | \nNo | \n63.67 (7.74) | \n90.05 (1.64) | \n|
Yes | \n78.11 (3.53) | \n|||
Yes | \nMLR | \nNo | \n75.25 (2.49) | \n83.03 (0.97) | \n
Yes | \n82.27 (1.12) | \n|||
SVM | \nNo | \n81.00 (2.45) | \n86.57 (0.72) | \n|
Yes | \n86.47 (1.34) | \n|||
RNN | \nNo | \n76.98 (4.79) | \n87.02 (0.36) | \n|
Yes | \n85.00 (0.93) | \n
Recognition results with combination of MFCC and MS features using ML paradigm before and after applying LR-RFE feature selection method (Berlin and Spanish databases).
Performance comparison of three machine learning paradigms (MLR, SVM, RNN) using speaker normalization (SN) and RFE feature selection (FS), for the Berlin database, is shown.
The confusion matrix for the best recognition of emotions using MFCC and MS features with RNN based on Spanish database is shown in Table 5. The rate column lists per class recognition rates and precision for a class are the number of samples correctly classified divided by the total number of samples classified to the class. It can be seen that
Emotion | \nAnger | \nDisgust | \nFear | \nJoy | \nNeutral | \nSurprise | \nSadness | \nRate (%) | \n
---|---|---|---|---|---|---|---|---|
Anger | \n||||||||
Disgust | \n0 | \n|||||||
Fear | \n0 | \n3 | \n||||||
Joy | \n3 | \n1 | \n1 | \n|||||
Neutral | \n2 | \n0 | \n1 | \n0 | \n||||
surprise | \n2 | \n1 | \n0 | \n3 | \n0 | \n|||
Sadness | \n0 | \n0 | \n1 | \n0 | \n2 | \n0 | \n||
Precision (%) | \n91.86 | \n91.78 | \n92.10 | \n94.66 | \n96.29 | \n95.23 | \n94.28 | \n\n |
Confusion matrix for feature combination after LR-RFE selection based on Spanish database.
In this current study, we presented an automatic speech emotion recognition (SER) system using three machine learning algorithms (MLR, SVM, and RNN) to classify seven emotions. Thus, two types of features (MFCC and MS) were extracted from two different acted databases (Berlin and Spanish databases), and a combination of these features was presented. In fact, we study how classifiers and features impact recognition accuracy of emotions in speech. A subset of highly discriminant features is selected. Feature selection techniques show that more information is not always good in machine learning applications. The machine learning models were trained and evaluated to recognize emotional states from these features. SER reported the best recognition rate of 94% on the Spanish database using RNN classifier without speaker normalization (SN) and with feature selection (FS). For Berlin database, all of the classifiers achieve an accuracy of 83% when a speaker normalization (SN) and a feature selection (FS) are applied to the features. From this result, we can see that RNN often perform better with more data and it suffers from the problem of very long training times. Therefore, we concluded that the SVM and MLR models have a good potential for practical usage for limited data in comparison with RNN .
\nEnhancement of the robustness of emotion recognition system is still possible by combining databases and by fusion of classifiers. The effect of training multiple emotion detectors can be investigated by fusing these into a single detection system. We aim also to use other feature selection methods because the quality of the feature selection affects the emotion recognition rate: a good emotion feature selection method can select features reflecting emotion state quickly. The overall aim of our work is to develop a system that will be used in a pedagogical interaction in classrooms, in order to help the teacher to orchestrate his class. For achieving this goal, we aim to test the system proposed in this work.
\n"Open access contributes to scientific excellence and integrity. It opens up research results to wider analysis. It allows research results to be reused for new discoveries. And it enables the multi-disciplinary research that is needed to solve global 21st century problems. Open access connects science with society. It allows the public to engage with research. To go behind the headlines. And look at the scientific evidence. And it enables policy makers to draw on innovative solutions to societal challenges".
\n\nCarlos Moedas, the European Commissioner for Research Science and Innovation at the STM Annual Frankfurt Conference, October 2016.
",metaTitle:"About Open Access",metaDescription:"Open access contributes to scientific excellence and integrity. It opens up research results to wider analysis. It allows research results to be reused for new discoveries. And it enables the multi-disciplinary research that is needed to solve global 21st century problems. Open access connects science with society. It allows the public to engage with research. To go behind the headlines. And look at the scientific evidence. And it enables policy makers to draw on innovative solutions to societal challenges.\n\nCarlos Moedas, the European Commissioner for Research Science and Innovation at the STM Annual Frankfurt Conference, October 2016.",metaKeywords:null,canonicalURL:"about-open-access",contentRaw:'[{"type":"htmlEditorComponent","content":"The Open Access publishing movement started in the early 2000s when academic leaders from around the world participated in the formation of the Budapest Initiative. They developed recommendations for an Open Access publishing process, “which has worked for the past decade to provide the public with unrestricted, free access to scholarly research—much of which is publicly funded. Making the research publicly available to everyone—free of charge and without most copyright and licensing restrictions—will accelerate scientific research efforts and allow authors to reach a larger number of readers” (reference: http://www.budapestopenaccessinitiative.org)
\\n\\nIntechOpen’s co-founders, both scientists themselves, created the company while undertaking research in robotics at Vienna University. Their goal was to spread research freely “for scientists, by scientists’ to the rest of the world via the Open Access publishing model. The company soon became a signatory of the Budapest Initiative, which currently has more than 1000 supporting organizations worldwide, ranging from universities to funders.
\\n\\nAt IntechOpen today, we are still as committed to working with organizations and people who care about scientific discovery, to putting the academic needs of the scientific community first, and to providing an Open Access environment where scientists can maximize their contribution to scientific advancement. By opening up access to the world’s scientific research articles and book chapters, we aim to facilitate greater opportunity for collaboration, scientific discovery and progress. We subscribe wholeheartedly to the Open Access definition:
\\n\\n“By “open access” to [peer-reviewed research literature], we mean its free availability on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. The only constraint on reproduction and distribution, and the only role for copyright in this domain, should be to give authors control over the integrity of their work and the right to be properly acknowledged and cited” (reference: http://www.budapestopenaccessinitiative.org)
\\n\\nOAI-PMH
\\n\\nAs a firm believer in the wider dissemination of knowledge, IntechOpen supports the Open Access Initiative Protocol for Metadata Harvesting (OAI-PMH Version 2.0). Read more
\\n\\nLicense
\\n\\nBook chapters published in edited volumes are distributed under the Creative Commons Attribution 3.0 Unported License (CC BY 3.0). IntechOpen upholds a very flexible Copyright Policy. There is no copyright transfer to the publisher and Authors retain exclusive copyright to their work. All Monographs/Compacts are distributed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). Read more
\\n\\nPeer Review Policies
\\n\\nAll scientific works are Peer Reviewed prior to publishing. Read more
\\n\\nOA Publishing Fees
\\n\\nThe Open Access publishing model employed by IntechOpen eliminates subscription charges and pay-per-view fees, enabling readers to access research at no cost. In order to sustain operations and keep our publications freely accessible we levy an Open Access Publishing Fee for manuscripts, which helps us cover the costs of editorial work and the production of books. Read more
\\n\\nDigital Archiving Policy
\\n\\nIntechOpen is committed to ensuring the long-term preservation and the availability of all scholarly research we publish. We employ a variety of means to enable us to deliver on our commitments to the scientific community. Apart from preservation by the Croatian National Library (for publications prior to April 18, 2018) and the British Library (for publications after April 18, 2018), our entire catalogue is preserved in the CLOCKSS archive.
\\n\\nOpen Science is transparent and accessible knowledge that is shared and developed through collaborative networks.
\\n\\nOpen Science is about increased rigour, accountability, and reproducibility for research. It is based on the principles of inclusion, fairness, equity, and sharing, and ultimately seeks to change the way research is done, who is involved and how it is valued. It aims to make research more open to participation, review/refutation, improvement and (re)use for the world to benefit.
\\n\\nOpen Science refers to doing traditional science with more transparency involved at various stages, for example by openly sharing code and data. It implies a growing set of practices - within different disciplines - aiming at:
\\n\\nWe aim at improving the quality and availability of scholarly communication by promoting and practicing:
\\n\\n\\n"}]'},components:[{type:"htmlEditorComponent",content:'
The Open Access publishing movement started in the early 2000s when academic leaders from around the world participated in the formation of the Budapest Initiative. They developed recommendations for an Open Access publishing process, “which has worked for the past decade to provide the public with unrestricted, free access to scholarly research—much of which is publicly funded. Making the research publicly available to everyone—free of charge and without most copyright and licensing restrictions—will accelerate scientific research efforts and allow authors to reach a larger number of readers” (reference: http://www.budapestopenaccessinitiative.org)
\n\nIntechOpen’s co-founders, both scientists themselves, created the company while undertaking research in robotics at Vienna University. Their goal was to spread research freely “for scientists, by scientists’ to the rest of the world via the Open Access publishing model. The company soon became a signatory of the Budapest Initiative, which currently has more than 1000 supporting organizations worldwide, ranging from universities to funders.
\n\nAt IntechOpen today, we are still as committed to working with organizations and people who care about scientific discovery, to putting the academic needs of the scientific community first, and to providing an Open Access environment where scientists can maximize their contribution to scientific advancement. By opening up access to the world’s scientific research articles and book chapters, we aim to facilitate greater opportunity for collaboration, scientific discovery and progress. We subscribe wholeheartedly to the Open Access definition:
\n\n“By “open access” to [peer-reviewed research literature], we mean its free availability on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. The only constraint on reproduction and distribution, and the only role for copyright in this domain, should be to give authors control over the integrity of their work and the right to be properly acknowledged and cited” (reference: http://www.budapestopenaccessinitiative.org)
\n\nOAI-PMH
\n\nAs a firm believer in the wider dissemination of knowledge, IntechOpen supports the Open Access Initiative Protocol for Metadata Harvesting (OAI-PMH Version 2.0). Read more
\n\nLicense
\n\nBook chapters published in edited volumes are distributed under the Creative Commons Attribution 3.0 Unported License (CC BY 3.0). IntechOpen upholds a very flexible Copyright Policy. There is no copyright transfer to the publisher and Authors retain exclusive copyright to their work. All Monographs/Compacts are distributed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). Read more
\n\nPeer Review Policies
\n\nAll scientific works are Peer Reviewed prior to publishing. Read more
\n\nOA Publishing Fees
\n\nThe Open Access publishing model employed by IntechOpen eliminates subscription charges and pay-per-view fees, enabling readers to access research at no cost. In order to sustain operations and keep our publications freely accessible we levy an Open Access Publishing Fee for manuscripts, which helps us cover the costs of editorial work and the production of books. Read more
\n\nDigital Archiving Policy
\n\nIntechOpen is committed to ensuring the long-term preservation and the availability of all scholarly research we publish. We employ a variety of means to enable us to deliver on our commitments to the scientific community. Apart from preservation by the Croatian National Library (for publications prior to April 18, 2018) and the British Library (for publications after April 18, 2018), our entire catalogue is preserved in the CLOCKSS archive.
\n\nOpen Science is transparent and accessible knowledge that is shared and developed through collaborative networks.
\n\nOpen Science is about increased rigour, accountability, and reproducibility for research. It is based on the principles of inclusion, fairness, equity, and sharing, and ultimately seeks to change the way research is done, who is involved and how it is valued. It aims to make research more open to participation, review/refutation, improvement and (re)use for the world to benefit.
\n\nOpen Science refers to doing traditional science with more transparency involved at various stages, for example by openly sharing code and data. It implies a growing set of practices - within different disciplines - aiming at:
\n\nWe aim at improving the quality and availability of scholarly communication by promoting and practicing:
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His studies in robotics lead him not only to a PhD degree but also inspired him to co-found and build the International Journal of Advanced Robotic Systems - world's first Open Access journal in the field of robotics.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"441",title:"Ph.D.",name:"Jaekyu",middleName:null,surname:"Park",slug:"jaekyu-park",fullName:"Jaekyu Park",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/441/images/1881_n.jpg",biography:null,institutionString:null,institution:{name:"LG Corporation (South Korea)",country:{name:"Korea, South"}}},{id:"465",title:"Dr",name:"Christian",middleName:null,surname:"Martens",slug:"christian-martens",fullName:"Christian Martens",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"479",title:"Dr.",name:"Valentina",middleName:null,surname:"Colla",slug:"valentina-colla",fullName:"Valentina Colla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/479/images/358_n.jpg",biography:null,institutionString:null,institution:{name:"Sant'Anna School of Advanced Studies",country:{name:"Italy"}}},{id:"494",title:"PhD",name:"Loris",middleName:null,surname:"Nanni",slug:"loris-nanni",fullName:"Loris Nanni",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/494/images/system/494.jpg",biography:"Loris Nanni received his Master Degree cum laude on June-2002 from the University of Bologna, and the April 26th 2006 he received his Ph.D. in Computer Engineering at DEIS, University of Bologna. On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. 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Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. His current research interests are in the fields of intelligent control and robotics.",institutionString:null,institution:{name:"Technical University of Sofia",country:{name:"Bulgaria"}}},{id:"585",title:"Prof.",name:"Munir",middleName:null,surname:"Merdan",slug:"munir-merdan",fullName:"Munir Merdan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/585/images/system/585.jpg",biography:"Munir Merdan received the M.Sc. degree in mechanical engineering from the Technical University of Sarajevo, Bosnia and Herzegovina, in 2001, and the Ph.D. degree in electrical engineering from the Vienna University of Technology, Vienna, Austria, in 2009.Since 2005, he has been at the Automation and Control Institute, Vienna University of Technology, where he is currently a Senior Researcher. 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Aalborg University has Two Satellite Campuses, one in Copenhagen (Aalborg University Copenhagen) and the other in Esbjerg (Aalborg University Esbjerg).\n· He is a member of prestigious IEEE (Institute of Electrical and Electronics Engineers), and IAENG (International Association of Engineers) organizations. \n· He is the chief Editor of the Journal of Software Engineering.\n· He is the member of the Editorial Board of International Journal of Computer Science and Software Technology (IJCSST) and International Journal of Computer Engineering and Information Technology. \n· He is also the Editor of Communication in Computer and Information Science CCIS-20 by Springer.\n· Reviewer For Many Conferences\nHe is the lead person in making collaboration agreements between Aalborg University and many universities of Pakistan, for which the MOU’s (Memorandum of Understanding) have been signed.\nProfessor Akbar is working in Academia since 1990, he started his career as a Lab demonstrator/TA at the University of Sussex. After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. He has contributed in stochastic estimation of control area especially, in the Multiple Target Tracking and Interactive Multiple Model (IMM) research, Ball & Beam Control Problem, Robotics, Levitation Control. He has contributed in developing Algorithms for Fingerprint Matching, Computer Vision and Face Recognition. He has been supervising Pattern Recognition, Formal Languages and Distributed Processing projects for several years. He has reviewed many books on Management, Computer Science. Currently, he is an active and permanent reviewer for many international conferences and symposia and the program committee member for many international conferences.\nIn teaching he has taught the core computer science subjects like, Digital Design, Real Time Embedded System Programming, Operating Systems, Software Engineering, Data Structures, Databases, Compiler Construction. 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His research interests include optimization, computer graphics, computer vision, image processing, machine learning, pattern recognition, soft computing, data science, and intelligent systems. Prof. Sarfraz has been a keynote/invited speaker at various platforms around the globe. He has advised/supervised more than 110 students for their MSc and Ph.D. theses. He has published more than 400 publications as books, journal articles, and conference papers. He has authored and/or edited around seventy books. Prof. Sarfraz is a member of various professional societies. He is a chair and member of international advisory committees and organizing committees of numerous international conferences. He is also an editor and editor in chief for various international journals.",institutionString:"Kuwait University",institution:{name:"Kuwait University",country:{name:"Kuwait"}}},{id:"32650",title:"Prof.",name:"Lukas",middleName:"Willem",surname:"Snyman",slug:"lukas-snyman",fullName:"Lukas Snyman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/32650/images/4136_n.jpg",biography:"Lukas Willem Snyman received his basic education at primary and high schools in South Africa, Eastern Cape. He enrolled at today's Nelson Metropolitan University and graduated from this university with a BSc in Physics and Mathematics, B.Sc Honors in Physics, MSc in Semiconductor Physics, and a Ph.D. in Semiconductor Physics in 1987. After his studies, he chose an academic career and devoted his energy to the teaching of physics to first, second, and third-year students. After positions as a lecturer at the University of Port Elizabeth, he accepted a position as Associate Professor at the University of Pretoria, South Africa.\r\n\r\nIn 1992, he motivates the concept of 'television and computer-based education” as means to reach large student numbers with only the best of teaching expertise and publishes an article on the concept in the SA Journal of Higher Education of 1993 (and later in 2003). The University of Pretoria subsequently approved a series of test projects on the concept with outreach to Mamelodi and Eerste Rust in 1993. In 1994, the University established a 'Unit for Telematic Education ' as a support section for multiple faculties at the University of Pretoria. In subsequent years, the concept of 'telematic education” subsequently becomes well established in academic circles in South Africa, grew in popularity, and is adopted by many universities and colleges throughout South Africa as a medium of enhancing education and training, as a method to reaching out to far out communities, and as a means to enhance study from the home environment.\r\n\r\nProfessor Snyman in subsequent years pursued research in semiconductor physics, semiconductor devices, microelectronics, and optoelectronics.\r\n\r\nIn 2000 he joined the TUT as a full professor. Here served for a period as head of the Department of Electronic Engineering. Here he makes contributions to solar energy development, microwave and optoelectronic device development, silicon photonics, as well as contributions to new mobile telecommunication systems and network planning in SA.\r\n\r\nCurrently, he teaches electronics and telecommunications at the TUT to audiences ranging from first-year students to Ph.D. level.\r\n\r\nFor his research in the field of 'Silicon Photonics” since 1990, he has published (as author and co-author) about thirty internationally reviewed articles in scientific journals, contributed to more than forty international conferences, about 25 South African provisional patents (as inventor and co-inventor), 8 PCT international patent applications until now. Of these, two USA patents applications, two European Patents, two Korean patents, and ten SA patents have been granted. A further 4 USA patents, 5 European patents, 3 Korean patents, 3 Chinese patents, and 3 Japanese patents are currently under consideration.\r\n\r\nRecently he has also published an extensive scholarly chapter in an internet open access book on 'Integrating Microphotonic Systems and MOEMS into standard Silicon CMOS Integrated circuitry”.\r\n\r\nFurthermore, Professor Snyman recently steered a new initiative at the TUT by introducing a 'Laboratory for Innovative Electronic Systems ' at the Department of Electrical Engineering. The model of this laboratory or center is to primarily combine outputs as achieved by high-level research with lower-level system development and entrepreneurship in a technical university environment. Students are allocated to projects at different levels with PhDs and Master students allocated to the generation of new knowledge and new technologies, while students at the diploma and Baccalaureus level are allocated to electronic systems development with a direct and a near application for application in industry or the commercial and public sectors in South Africa.\r\n\r\nProfessor Snyman received the WIRSAM Award of 1983 and the WIRSAM Award in 1985 in South Africa for best research papers by a young scientist at two international conferences on electron microscopy in South Africa. He subsequently received the SA Microelectronics Award for the best dissertation emanating from studies executed at a South African university in the field of Physics and Microelectronics in South Africa in 1987. In October of 2011, Professor Snyman received the prestigious Institutional Award for 'Innovator of the Year” for 2010 at the Tshwane University of Technology, South Africa. This award was based on the number of patents recognized and granted by local and international institutions as well as for his contributions concerning innovation at the TUT.",institutionString:null,institution:{name:"University of South Africa",country:{name:"South Africa"}}},{id:"317279",title:"Mr.",name:"Ali",middleName:"Usama",surname:"Syed",slug:"ali-syed",fullName:"Ali Syed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/317279/images/16024_n.png",biography:"A creative, talented, and innovative young professional who is dedicated, well organized, and capable research fellow with two years of experience in graduate-level research, published in engineering journals and book, with related expertise in Bio-robotics, equally passionate about the aesthetics of the mechanical and electronic system, obtained expertise in the use of MS Office, MATLAB, SolidWorks, LabVIEW, Proteus, Fusion 360, having a grasp on python, C++ and assembly language, possess proven ability in acquiring research grants, previous appointments with social and educational societies with experience in administration, current affiliations with IEEE and Web of Science, a confident presenter at conferences and teacher in classrooms, able to explain complex information to audiences of all levels.",institutionString:null,institution:{name:"Air University",country:{name:"Pakistan"}}},{id:"75526",title:"Ph.D.",name:"Zihni Onur",middleName:null,surname:"Uygun",slug:"zihni-onur-uygun",fullName:"Zihni Onur Uygun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/75526/images/12_n.jpg",biography:"My undergraduate education and my Master of Science educations at Ege University and at Çanakkale Onsekiz Mart University have given me a firm foundation in Biochemistry, Analytical Chemistry, Biosensors, Bioelectronics, Physical Chemistry and Medicine. After obtaining my degree as a MSc in analytical chemistry, I started working as a research assistant in Ege University Medical Faculty in 2014. In parallel, I enrolled to the MSc program at the Department of Medical Biochemistry at Ege University to gain deeper knowledge on medical and biochemical sciences as well as clinical chemistry in 2014. In my PhD I deeply researched on biosensors and bioelectronics and finished in 2020. Now I have eleven SCI-Expanded Index published papers, 6 international book chapters, referee assignments for different SCIE journals, one international patent pending, several international awards, projects and bursaries. In parallel to my research assistant position at Ege University Medical Faculty, Department of Medical Biochemistry, in April 2016, I also founded a Start-Up Company (Denosens Biotechnology LTD) by the support of The Scientific and Technological Research Council of Turkey. Currently, I am also working as a CEO in Denosens Biotechnology. The main purposes of the company, which carries out R&D as a research center, are to develop new generation biosensors and sensors for both point-of-care diagnostics; such as glucose, lactate, cholesterol and cancer biomarker detections. My specific experimental and instrumental skills are Biochemistry, Biosensor, Analytical Chemistry, Electrochemistry, Mobile phone based point-of-care diagnostic device, POCTs and Patient interface designs, HPLC, Tandem Mass Spectrometry, Spectrophotometry, ELISA.",institutionString:null,institution:{name:"Ege University",country:{name:"Turkey"}}},{id:"246502",title:"Dr.",name:"Jaya T.",middleName:"T",surname:"Varkey",slug:"jaya-t.-varkey",fullName:"Jaya T. Varkey",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246502/images/11160_n.jpg",biography:"Jaya T. Varkey, PhD, graduated with a degree in Chemistry from Cochin University of Science and Technology, Kerala, India. She obtained a PhD in Chemistry from the School of Chemical Sciences, Mahatma Gandhi University, Kerala, India, and completed a post-doctoral fellowship at the University of Minnesota, USA. She is a research guide at Mahatma Gandhi University and Associate Professor in Chemistry, St. Teresa’s College, Kochi, Kerala, India.\nDr. Varkey received a National Young Scientist award from the Indian Science Congress (1995), a UGC Research award (2016–2018), an Indian National Science Academy (INSA) Visiting Scientist award (2018–2019), and a Best Innovative Faculty award from the All India Association for Christian Higher Education (AIACHE) (2019). She Hashas received the Sr. Mary Cecil prize for best research paper three times. She was also awarded a start-up to develop a tea bag water filter. \nDr. Varkey has published two international books and twenty-seven international journal publications. She is an editorial board member for five international journals.",institutionString:"St. Teresa’s College",institution:null},{id:"250668",title:"Dr.",name:"Ali",middleName:null,surname:"Nabipour Chakoli",slug:"ali-nabipour-chakoli",fullName:"Ali Nabipour Chakoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/250668/images/system/250668.jpg",biography:"Academic Qualification:\r\n•\tPhD in Materials Physics and Chemistry, From: Sep. 2006, to: Sep. 2010, School of Materials Science and Engineering, Harbin Institute of Technology, Thesis: Structure and Shape Memory Effect of Functionalized MWCNTs/poly (L-lactide-co-ε-caprolactone) Nanocomposites. Supervisor: Prof. Wei Cai,\r\n•\tM.Sc in Applied Physics, From: 1996, to: 1998, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Determination of Boron in Micro alloy Steels with solid state nuclear track detectors by neutron induced auto radiography, Supervisors: Dr. M. Hosseini Ashrafi and Dr. A. Hosseini.\r\n•\tB.Sc. in Applied Physics, From: 1991, to: 1996, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Design of shielding for Am-Be neutron sources for In Vivo neutron activation analysis, Supervisor: Dr. M. Hosseini Ashrafi.\r\n\r\nResearch Experiences:\r\n1.\tNanomaterials, Carbon Nanotubes, Graphene: Synthesis, Functionalization and Characterization,\r\n2.\tMWCNTs/Polymer Composites: Fabrication and Characterization, \r\n3.\tShape Memory Polymers, Biodegradable Polymers, ORC, Collagen,\r\n4.\tMaterials Analysis and Characterizations: TEM, SEM, XPS, FT-IR, Raman, DSC, DMA, TGA, XRD, GPC, Fluoroscopy, \r\n5.\tInteraction of Radiation with Mater, Nuclear Safety and Security, NDT(RT),\r\n6.\tRadiation Detectors, Calibration (SSDL),\r\n7.\tCompleted IAEA e-learning Courses:\r\nNuclear Security (15 Modules),\r\nNuclear Safety:\r\nTSA 2: Regulatory Protection in Occupational Exposure,\r\nTips & Tricks: Radiation Protection in Radiography,\r\nSafety and Quality in Radiotherapy,\r\nCourse on Sealed Radioactive Sources,\r\nCourse on Fundamentals of Environmental Remediation,\r\nCourse on Planning for Environmental Remediation,\r\nKnowledge Management Orientation Course,\r\nFood Irradiation - Technology, Applications and Good Practices,\r\nEmployment:\r\nFrom 2010 to now: Academic staff, Nuclear Science and Technology Research Institute, Kargar Shomali, Tehran, Iran, P.O. Box: 14395-836.\r\nFrom 1997 to 2006: Expert of Materials Analysis and Characterization. Research Center of Agriculture and Medicine. Rajaeeshahr, Karaj, Iran, P. O. Box: 31585-498.",institutionString:"Atomic Energy Organization of Iran",institution:{name:"Atomic Energy Organization of Iran",country:{name:"Iran"}}},{id:"248279",title:"Dr.",name:"Monika",middleName:"Elzbieta",surname:"Machoy",slug:"monika-machoy",fullName:"Monika Machoy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/248279/images/system/248279.jpeg",biography:"Monika Elżbieta Machoy, MD, graduated with distinction from the Faculty of Medicine and Dentistry at the Pomeranian Medical University in 2009, defended her PhD thesis with summa cum laude in 2016 and is currently employed as a researcher at the Department of Orthodontics of the Pomeranian Medical University. She expanded her professional knowledge during a one-year scholarship program at the Ernst Moritz Arndt University in Greifswald, Germany and during a three-year internship at the Technical University in Dresden, Germany. She has been a speaker at numerous orthodontic conferences, among others, American Association of Orthodontics, European Orthodontic Symposium and numerous conferences of the Polish Orthodontic Society. She conducts research focusing on the effect of orthodontic treatment on dental and periodontal tissues and the causes of pain in orthodontic patients.",institutionString:"Pomeranian Medical University",institution:{name:"Pomeranian Medical University",country:{name:"Poland"}}},{id:"252743",title:"Prof.",name:"Aswini",middleName:"Kumar",surname:"Kar",slug:"aswini-kar",fullName:"Aswini Kar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252743/images/10381_n.jpg",biography:"uploaded in cv",institutionString:null,institution:{name:"KIIT University",country:{name:"India"}}},{id:"204256",title:"Dr.",name:"Anil",middleName:"Kumar",surname:"Kumar Sahu",slug:"anil-kumar-sahu",fullName:"Anil Kumar Sahu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204256/images/14201_n.jpg",biography:"I have nearly 11 years of research and teaching experience. I have done my master degree from University Institute of Pharmacy, Pt. Ravi Shankar Shukla University, Raipur, Chhattisgarh India. I have published 16 review and research articles in international and national journals and published 4 chapters in IntechOpen, the world’s leading publisher of Open access books. I have presented many papers at national and international conferences. I have received research award from Indian Drug Manufacturers Association in year 2015. My research interest extends from novel lymphatic drug delivery systems, oral delivery system for herbal bioactive to formulation optimization.",institutionString:null,institution:{name:"Chhattisgarh Swami Vivekanand Technical University",country:{name:"India"}}},{id:"253468",title:"Dr.",name:"Mariusz",middleName:null,surname:"Marzec",slug:"mariusz-marzec",fullName:"Mariusz Marzec",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/253468/images/system/253468.png",biography:"An assistant professor at Department of Biomedical Computer Systems, at Institute of Computer Science, Silesian University in Katowice. Scientific interests: computer analysis and processing of images, biomedical images, databases and programming languages. He is an author and co-author of scientific publications covering analysis and processing of biomedical images and development of database systems.",institutionString:"University of Silesia",institution:null},{id:"212432",title:"Prof.",name:"Hadi",middleName:null,surname:"Mohammadi",slug:"hadi-mohammadi",fullName:"Hadi Mohammadi",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/212432/images/system/212432.jpeg",biography:"Dr. Hadi Mohammadi is a biomedical engineer with hands-on experience in the design and development of many engineering structures and medical devices through various projects that he has been involved in over the past twenty years. Dr. Mohammadi received his BSc. and MSc. degrees in Mechanical Engineering from Sharif University of Technology, Tehran, Iran, and his PhD. degree in Biomedical Engineering (biomaterials) from the University of Western Ontario. He was a postdoctoral trainee for almost four years at University of Calgary and Harvard Medical School. He is an industry innovator having created the technology to produce lifelike synthetic platforms that can be used for the simulation of almost all cardiovascular reconstructive surgeries. He’s been heavily involved in the design and development of cardiovascular devices and technology for the past 10 years. He is currently an Assistant Professor with the University of British Colombia, Canada.",institutionString:"University of British Columbia",institution:{name:"University of British Columbia",country:{name:"Canada"}}},{id:"254463",title:"Prof.",name:"Haisheng",middleName:null,surname:"Yang",slug:"haisheng-yang",fullName:"Haisheng Yang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/254463/images/system/254463.jpeg",biography:"Haisheng Yang, Ph.D., Professor and Director of the Department of Biomedical Engineering, College of Life Science and Bioengineering, Beijing University of Technology. He received his Ph.D. degree in Mechanics/Biomechanics from Harbin Institute of Technology (jointly with University of California, Berkeley). Afterwards, he worked as a Postdoctoral Research Associate in the Purdue Musculoskeletal Biology and Mechanics Lab at the Department of Basic Medical Sciences, Purdue University, USA. He also conducted research in the Research Centre of Shriners Hospitals for Children-Canada at McGill University, Canada. Dr. Yang has over 10 years research experience in orthopaedic biomechanics and mechanobiology of bone adaptation and regeneration. He earned an award from Beijing Overseas Talents Aggregation program in 2017 and serves as Beijing Distinguished Professor.",institutionString:"Beijing University of Technology",institution:null},{id:"255757",title:"Dr.",name:"Igor",middleName:"Victorovich",surname:"Lakhno",slug:"igor-lakhno",fullName:"Igor Lakhno",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255757/images/system/255757.jpg",biography:"Lakhno Igor Victorovich was born in 1971 in Kharkiv (Ukraine). \nMD – 1994, Kharkiv National Medical Univesity.\nOb&Gyn; – 1997, master courses in Kharkiv Medical Academy of Postgraduate Education.\nPhD – 1999, Kharkiv National Medical Univesity.\nDSc – 2019, PL Shupik National Academy of Postgraduate Education \nLakhno Igor has been graduated from an international training courses on reproductive medicine and family planning held in Debrecen University (Hungary) in 1997. Since 1998 Lakhno Igor has worked as an associate professor of the department of obstetrics and gynecology of VN Karazin National University and an associate professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education. Since June 2019 he’s a professor of the department of obstetrics and gynecology of VN Karazin National University and a professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education . He’s an author of about 200 printed works and there are 17 of them in Scopus or Web of Science databases. Lakhno Igor is a rewiever of Journal of Obstetrics and Gynaecology (Taylor and Francis), Informatics in Medicine Unlocked (Elsevier), The Journal of Obstetrics and Gynecology Research (Wiley), Endocrine, Metabolic & Immune Disorders-Drug Targets (Bentham Open), The Open Biomedical Engineering Journal (Bentham Open), etc. He’s defended a dissertation for DSc degree \\'Pre-eclampsia: prediction, prevention and treatment”. Lakhno Igor has participated as a speaker in several international conferences and congresses (International Conference on Biological Oscillations April 10th-14th 2016, Lancaster, UK, The 9th conference of the European Study Group on Cardiovascular Oscillations). His main scientific interests: obstetrics, women’s health, fetal medicine, cardiovascular medicine.",institutionString:"V.N. Karazin Kharkiv National University",institution:{name:"Kharkiv Medical Academy of Postgraduate Education",country:{name:"Ukraine"}}},{id:"89721",title:"Dr.",name:"Mehmet",middleName:"Cuneyt",surname:"Ozmen",slug:"mehmet-ozmen",fullName:"Mehmet Ozmen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/89721/images/7289_n.jpg",biography:null,institutionString:null,institution:{name:"Gazi University",country:{name:"Turkey"}}},{id:"243698",title:"M.D.",name:"Xiaogang",middleName:null,surname:"Wang",slug:"xiaogang-wang",fullName:"Xiaogang Wang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/243698/images/system/243698.png",biography:"Dr. Xiaogang Wang, a faculty member of Shanxi Eye Hospital specializing in the treatment of cataract and retinal disease and a tutor for postgraduate students of Shanxi Medical University, worked in the COOL Lab as an international visiting scholar under the supervision of Dr. David Huang and Yali Jia from October 2012 through November 2013. Dr. Wang earned an MD from Shanxi Medical University and a Ph.D. from Shanghai Jiao Tong University. Dr. Wang was awarded two research project grants focused on multimodal optical coherence tomography imaging and deep learning in cataract and retinal disease, from the National Natural Science Foundation of China. He has published around 30 peer-reviewed journal papers and four book chapters and co-edited one book.",institutionString:"Shanxi Eye Hospital",institution:{name:"Shanxi Eye Hospital",country:{name:"China"}}},{id:"242893",title:"Ph.D. Student",name:"Joaquim",middleName:null,surname:"De Moura",slug:"joaquim-de-moura",fullName:"Joaquim De Moura",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/242893/images/7133_n.jpg",biography:"Joaquim de Moura received his degree in Computer Engineering in 2014 from the University of A Coruña (Spain). In 2016, he received his M.Sc degree in Computer Engineering from the same university. He is currently pursuing his Ph.D degree in Computer Science in a collaborative project between ophthalmology centers in Galicia and the University of A Coruña. His research interests include computer vision, machine learning algorithms and analysis and medical imaging processing of various kinds.",institutionString:null,institution:{name:"University of A Coruña",country:{name:"Spain"}}},{id:"267434",title:"Dr.",name:"Rohit",middleName:null,surname:"Raja",slug:"rohit-raja",fullName:"Rohit Raja",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRZkkQAG/Profile_Picture_2022-05-09T12:55:18.jpg",biography:null,institutionString:null,institution:null},{id:"294334",title:"B.Sc.",name:"Marc",middleName:null,surname:"Bruggeman",slug:"marc-bruggeman",fullName:"Marc Bruggeman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/294334/images/8242_n.jpg",biography:"Chemical engineer graduate, with a passion for material science and specific interest in polymers - their near infinite applications intrigue me. \n\nI plan to continue my scientific career in the field of polymeric biomaterials as I am fascinated by intelligent, bioactive and biomimetic materials for use in both consumer and medical applications.",institutionString:null,institution:null},{id:"244950",title:"Dr.",name:"Salvatore",middleName:null,surname:"Di Lauro",slug:"salvatore-di-lauro",fullName:"Salvatore Di Lauro",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0030O00002bSF1HQAW/ProfilePicture%202021-12-20%2014%3A54%3A14.482",biography:"Name:\n\tSALVATORE DI LAURO\nAddress:\n\tHospital Clínico Universitario Valladolid\nAvda Ramón y Cajal 3\n47005, Valladolid\nSpain\nPhone number: \nFax\nE-mail:\n\t+34 983420000 ext 292\n+34 983420084\nsadilauro@live.it\nDate and place of Birth:\nID Number\nMedical Licence \nLanguages\t09-05-1985. Villaricca (Italy)\n\nY1281863H\n474707061\nItalian (native language)\nSpanish (read, written, spoken)\nEnglish (read, written, spoken)\nPortuguese (read, spoken)\nFrench (read)\n\t\t\nCurrent position (title and company)\tDate (Year)\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. Private practise.\t2017-today\n\n2019-today\n\t\n\t\nEducation (High school, university and postgraduate training > 3 months)\tDate (Year)\nDegree in Medicine and Surgery. University of Neaples 'Federico II”\nResident in Opthalmology. Hospital Clinico Universitario Valladolid\nMaster in Vitreo-Retina. IOBA. University of Valladolid\nFellow of the European Board of Ophthalmology. Paris\nMaster in Research in Ophthalmology. University of Valladolid\t2003-2009\n2012-2016\n2016-2017\n2016\n2012-2013\n\t\nEmployments (company and positions)\tDate (Year)\nResident in Ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl.\nFellow in Vitreo-Retina. IOBA. University of Valladolid\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. \n\t2012-2016\n2016-2017\n2017-today\n\n2019-Today\n\n\n\t\nClinical Research Experience (tasks and role)\tDate (Year)\nAssociated investigator\n\n' FIS PI20/00740: DESARROLLO DE UNA CALCULADORA DE RIESGO DE\nAPARICION DE RETINOPATIA DIABETICA BASADA EN TECNICAS DE IMAGEN MULTIMODAL EN PACIENTES DIABETICOS TIPO 1. Grant by: Ministerio de Ciencia e Innovacion \n\n' (BIO/VA23/14) Estudio clínico multicéntrico y prospectivo para validar dos\nbiomarcadores ubicados en los genes p53 y MDM2 en la predicción de los resultados funcionales de la cirugía del desprendimiento de retina regmatógeno. Grant by: Gerencia Regional de Salud de la Junta de Castilla y León.\n' Estudio multicéntrico, aleatorizado, con enmascaramiento doble, en 2 grupos\nparalelos y de 52 semanas de duración para comparar la eficacia, seguridad e inmunogenicidad de SOK583A1 respecto a Eylea® en pacientes con degeneración macular neovascular asociada a la edad' (CSOK583A12301; N.EUDRA: 2019-004838-41; FASE III). Grant by Hexal AG\n\n' Estudio de fase III, aleatorizado, doble ciego, con grupos paralelos, multicéntrico para comparar la eficacia y la seguridad de QL1205 frente a Lucentis® en pacientes con degeneración macular neovascular asociada a la edad. (EUDRACT: 2018-004486-13). Grant by Qilu Pharmaceutical Co\n\n' Estudio NEUTON: Ensayo clinico en fase IV para evaluar la eficacia de aflibercept en pacientes Naive con Edema MacUlar secundario a Oclusion de Vena CenTral de la Retina (OVCR) en regimen de tratamientO iNdividualizado Treat and Extend (TAE)”, (2014-000975-21). Grant by Fundacion Retinaplus\n\n' Evaluación de la seguridad y bioactividad de anillos de tensión capsular en conejo. Proyecto Procusens. Grant by AJL, S.A.\n\n'Estudio epidemiológico, prospectivo, multicéntrico y abierto\\npara valorar la frecuencia de la conjuntivitis adenovírica diagnosticada mediante el test AdenoPlus®\\nTest en pacientes enfermos de conjuntivitis aguda”\\n. National, multicenter study. Grant by: NICOX.\n\nEuropean multicentric trial: 'Evaluation of clinical outcomes following the use of Systane Hydration in patients with dry eye”. Study Phase 4. Grant by: Alcon Labs'\n\nVLPs Injection and Activation in a Rabbit Model of Uveal Melanoma. Grant by Aura Bioscience\n\nUpdating and characterization of a rabbit model of uveal melanoma. Grant by Aura Bioscience\n\nEnsayo clínico en fase IV para evaluar las variantes genéticas de la vía del VEGF como biomarcadores de eficacia del tratamiento con aflibercept en pacientes con degeneración macular asociada a la edad (DMAE) neovascular. Estudio BIOIMAGE. IMO-AFLI-2013-01\n\nEstudio In-Eye:Ensayo clínico en fase IV, abierto, aleatorizado, de 2 brazos,\nmulticçentrico y de 12 meses de duración, para evaluar la eficacia y seguridad de un régimen de PRN flexible individualizado de 'esperar y extender' versus un régimen PRN según criterios de estabilización mediante evaluaciones mensuales de inyecciones intravítreas de ranibizumab 0,5 mg en pacientes naive con neovascularización coriodea secunaria a la degeneración macular relacionada con la edad. CP: CRFB002AES03T\n\nTREND: Estudio Fase IIIb multicéntrico, randomizado, de 12 meses de\nseguimiento con evaluador de la agudeza visual enmascarado, para evaluar la eficacia y la seguridad de ranibizumab 0.5mg en un régimen de tratar y extender comparado con un régimen mensual, en pacientes con degeneración macular neovascular asociada a la edad. CP: CRFB002A2411 Código Eudra CT:\n2013-002626-23\n\n\n\nPublications\t\n\n2021\n\n\n\n\n2015\n\n\n\n\n2021\n\n\n\n\n\n2021\n\n\n\n\n2015\n\n\n\n\n2015\n\n\n2014\n\n\n\n\n2015-16\n\n\n\n2015\n\n\n2014\n\n\n2014\n\n\n\n\n2014\n\n\n\n\n\n\n\n2014\n\nJose Carlos Pastor; Jimena Rojas; Salvador Pastor-Idoate; Salvatore Di Lauro; Lucia Gonzalez-Buendia; Santiago Delgado-Tirado. Proliferative vitreoretinopathy: A new concept of disease pathogenesis and practical\nconsequences. Progress in Retinal and Eye Research. 51, pp. 125 - 155. 03/2016. DOI: 10.1016/j.preteyeres.2015.07.005\n\n\nLabrador-Velandia S; Alonso-Alonso ML; Di Lauro S; García-Gutierrez MT; Srivastava GK; Pastor JC; Fernandez-Bueno I. Mesenchymal stem cells provide paracrine neuroprotective resources that delay degeneration of co-cultured organotypic neuroretinal cultures.Experimental Eye Research. 185, 17/05/2019. DOI: 10.1016/j.exer.2019.05.011\n\nSalvatore Di Lauro; Maria Teresa Garcia Gutierrez; Ivan Fernandez Bueno. Quantification of pigment epithelium-derived factor (PEDF) in an ex vivo coculture of retinal pigment epithelium cells and neuroretina.\nJournal of Allbiosolution. 2019. ISSN 2605-3535\n\nSonia Labrador Velandia; Salvatore Di Lauro; Alonso-Alonso ML; Tabera Bartolomé S; Srivastava GK; Pastor JC; Fernandez-Bueno I. Biocompatibility of intravitreal injection of human mesenchymal stem cells in immunocompetent rabbits. Graefe's archive for clinical and experimental ophthalmology. 256 - 1, pp. 125 - 134. 01/2018. DOI: 10.1007/s00417-017-3842-3\n\n\nSalvatore Di Lauro, David Rodriguez-Crespo, Manuel J Gayoso, Maria T Garcia-Gutierrez, J Carlos Pastor, Girish K Srivastava, Ivan Fernandez-Bueno. A novel coculture model of porcine central neuroretina explants and retinal pigment epithelium cells. Molecular Vision. 2016 - 22, pp. 243 - 253. 01/2016.\n\nSalvatore Di Lauro. Classifications for Proliferative Vitreoretinopathy ({PVR}): An Analysis of Their Use in Publications over the Last 15 Years. Journal of Ophthalmology. 2016, pp. 1 - 6. 01/2016. DOI: 10.1155/2016/7807596\n\nSalvatore Di Lauro; Rosa Maria Coco; Rosa Maria Sanabria; Enrique Rodriguez de la Rua; Jose Carlos Pastor. Loss of Visual Acuity after Successful Surgery for Macula-On Rhegmatogenous Retinal Detachment in a Prospective Multicentre Study. Journal of Ophthalmology. 2015:821864, 2015. DOI: 10.1155/2015/821864\n\nIvan Fernandez-Bueno; Salvatore Di Lauro; Ivan Alvarez; Jose Carlos Lopez; Maria Teresa Garcia-Gutierrez; Itziar Fernandez; Eva Larra; Jose Carlos Pastor. Safety and Biocompatibility of a New High-Density Polyethylene-Based\nSpherical Integrated Porous Orbital Implant: An Experimental Study in Rabbits. Journal of Ophthalmology. 2015:904096, 2015. DOI: 10.1155/2015/904096\n\nPastor JC; Pastor-Idoate S; Rodríguez-Hernandez I; Rojas J; Fernandez I; Gonzalez-Buendia L; Di Lauro S; Gonzalez-Sarmiento R. Genetics of PVR and RD. Ophthalmologica. 232 - Suppl 1, pp. 28 - 29. 2014\n\nRodriguez-Crespo D; Di Lauro S; Singh AK; Garcia-Gutierrez MT; Garrosa M; Pastor JC; Fernandez-Bueno I; Srivastava GK. Triple-layered mixed co-culture model of RPE cells with neuroretina for evaluating the neuroprotective effects of adipose-MSCs. Cell Tissue Res. 358 - 3, pp. 705 - 716. 2014.\nDOI: 10.1007/s00441-014-1987-5\n\nCarlo De Werra; Salvatore Condurro; Salvatore Tramontano; Mario Perone; Ivana Donzelli; Salvatore Di Lauro; Massimo Di Giuseppe; Rosa Di Micco; Annalisa Pascariello; Antonio Pastore; Giorgio Diamantis; Giuseppe Galloro. Hydatid disease of the liver: thirty years of surgical experience.Chirurgia italiana. 59 - 5, pp. 611 - 636.\n(Italia): 2007. ISSN 0009-4773\n\nChapters in books\n\t\n' Salvador Pastor Idoate; Salvatore Di Lauro; Jose Carlos Pastor Jimeno. PVR: Pathogenesis, Histopathology and Classification. Proliferative Vitreoretinopathy with Small Gauge Vitrectomy. Springer, 2018. ISBN 978-3-319-78445-8\nDOI: 10.1007/978-3-319-78446-5_2. \n\n' Salvatore Di Lauro; Maria Isabel Lopez Galvez. Quistes vítreos en una mujer joven. Problemas diagnósticos en patología retinocoroidea. Sociedad Española de Retina-Vitreo. 2018.\n\n' Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor Jimeno. iOCT in PVR management. OCT Applications in Opthalmology. pp. 1 - 8. INTECH, 2018. DOI: 10.5772/intechopen.78774.\n\n' Rosa Coco Martin; Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor. amponadores, manipuladores y tinciones en la cirugía del traumatismo ocular.Trauma Ocular. Ponencia de la SEO 2018..\n\n' LOPEZ GALVEZ; DI LAURO; CRESPO. OCT angiografia y complicaciones retinianas de la diabetes. PONENCIA SEO 2021, CAPITULO 20. (España): 2021.\n\n' Múltiples desprendimientos neurosensoriales bilaterales en paciente joven. Enfermedades Degenerativas De Retina Y Coroides. SERV 04/2016. \n' González-Buendía L; Di Lauro S; Pastor-Idoate S; Pastor Jimeno JC. Vitreorretinopatía proliferante (VRP) e inflamación: LA INFLAMACIÓN in «INMUNOMODULADORES Y ANTIINFLAMATORIOS: MÁS ALLÁ DE LOS CORTICOIDES. 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Fungal infectious illness prevalence and prognosis are determined by the exposure between fungi and host, host immunological state, fungal virulence, and early and accurate diagnosis and treatment. \r\nPatients with both congenital and acquired immunodeficiency are more likely to be infected with opportunistic mycosis. Fungal infectious disease outbreaks are common during the post- disaster rebuilding era, which is characterised by high population density, migration, and poor health and medical conditions.\r\nSystemic or local fungal infection is mainly associated with the fungi directly inhaled or inoculated in the environment during the disaster. The most common fungal infection pathways are human to human (anthropophilic), animal to human (zoophilic), and environment to human (soilophile). Diseases are common as a result of widespread exposure to pathogenic fungus dispersed into the environment. \r\nFungi that are both common and emerging are intertwined. In Southeast Asia, for example, Talaromyces marneffei is an important pathogenic thermally dimorphic fungus that causes systemic mycosis. Widespread fungal infections with complicated and variable clinical manifestations, such as Candida auris infection resistant to several antifungal medicines, Covid-19 associated with Trichoderma, and terbinafine resistant dermatophytosis in India, are among the most serious disorders. \r\nInappropriate local or systemic use of glucocorticoids, as well as their immunosuppressive effects, may lead to changes in fungal infection spectrum and clinical characteristics. Hematogenous candidiasis is a worrisome issue that affects people all over the world, particularly ICU patients. CARD9 deficiency and fungal infection have been major issues in recent years. Invasive aspergillosis is associated with a significant death rate. Special attention should be given to endemic fungal infections, identification of important clinical fungal infections advanced in yeasts, filamentous fungal infections, skin mycobiome and fungal genomes, and immunity to fungal infections.\r\nIn addition, endemic fungal diseases or uncommon fungal infections caused by Mucor irregularis, dermatophytosis, Malassezia, cryptococcosis, chromoblastomycosis, coccidiosis, blastomycosis, histoplasmosis, sporotrichosis, and other fungi, should be monitored. \r\nThis topic includes the research progress on the etiology and pathogenesis of fungal infections, new methods of isolation and identification, rapid detection, drug sensitivity testing, new antifungal drugs, schemes and case series reports. It will provide significant opportunities and support for scientists, clinical doctors, mycologists, antifungal drug researchers, public health practitioners, and epidemiologists from all over the world to share new research, ideas and solutions to promote the development and progress of medical mycology.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/4.jpg",keywords:"Emerging Fungal Pathogens, Invasive Infections, Epidemiology, Cell Membrane, Fungal Virulence, Diagnosis, Treatment"},{id:"5",title:"Parasitic Infectious Diseases",scope:"Parasitic diseases have evolved alongside their human hosts. In many cases, these diseases have adapted so well that they have developed efficient resilience methods in the human host and can live in the host for years. Others, particularly some blood parasites, can cause very acute diseases and are responsible for millions of deaths yearly. Many parasitic diseases are classified as neglected tropical diseases because they have received minimal funding over recent years and, in many cases, are under-reported despite the critical role they play in morbidity and mortality among human and animal hosts. The current topic, Parasitic Infectious Diseases, in the Infectious Diseases Series aims to publish studies on the systematics, epidemiology, molecular biology, genomics, pathogenesis, genetics, and clinical significance of parasitic diseases from blood borne to intestinal parasites as well as zoonotic parasites. We hope to cover all aspects of parasitic diseases to provide current and relevant research data on these very important diseases. In the current atmosphere of the Coronavirus pandemic, communities around the world, particularly those in different underdeveloped areas, are faced with the growing challenges of the high burden of parasitic diseases. At the same time, they are faced with the Covid-19 pandemic leading to what some authors have called potential syndemics that might worsen the outcome of such infections. Therefore, it is important to conduct studies that examine parasitic infections in the context of the coronavirus pandemic for the benefit of all communities to help foster more informed decisions for the betterment of human and animal health.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",keywords:"Blood Borne Parasites, Intestinal Parasites, Protozoa, Helminths, Arthropods, Water Born Parasites, Epidemiology, Molecular Biology, Systematics, Genomics, Proteomics, Ecology"},{id:"6",title:"Viral Infectious Diseases",scope:"The Viral Infectious Diseases Book Series aims to provide a comprehensive overview of recent research trends and discoveries in various viral infectious diseases emerging around the globe. The emergence of any viral disease is hard to anticipate, which often contributes to death. A viral disease can be defined as an infectious disease that has recently appeared within a population or exists in nature with the rapid expansion of incident or geographic range. This series will focus on various crucial factors related to emerging viral infectious diseases, including epidemiology, pathogenesis, host immune response, clinical manifestations, diagnosis, treatment, and clinical recommendations for managing viral infectious diseases, highlighting the recent issues with future directions for effective therapeutic strategies.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/6.jpg",keywords:"Novel Viruses, Virus Transmission, Virus Evolution, Molecular Virology, Control and Prevention, Virus-host Interaction"}],annualVolumeBook:{},thematicCollection:[],selectedSeries:null,selectedSubseries:null},seriesLanding:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. This Biochemistry Series will address the current research on biomolecules and the emerging trends with great promise.",coverUrl:"https://cdn.intechopen.com/series/covers/11.jpg",latestPublicationDate:"May 15th, 2022",hasOnlineFirst:!0,numberOfOpenTopics:4,numberOfPublishedChapters:286,numberOfPublishedBooks:27,editor:{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},subseries:[{id:"14",title:"Cell and Molecular Biology",keywords:"Omics (Transcriptomics; Proteomics; Metabolomics), Molecular Biology, Cell Biology, Signal Transduction and Regulation, Cell Growth and Differentiation, Apoptosis, Necroptosis, Ferroptosis, Autophagy, Cell Cycle, Macromolecules and Complexes, Gene Expression",scope:"The Cell and Molecular Biology topic within the IntechOpen Biochemistry Series aims to rapidly publish contributions on all aspects of cell and molecular biology, including aspects related to biochemical and genetic research (not only in humans but all living beings). We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics include, but are not limited to: Advanced techniques of cellular and molecular biology (Molecular methodologies, imaging techniques, and bioinformatics); Biological activities at the molecular level; Biological processes of cell functions, cell division, senescence, maintenance, and cell death; Biomolecules interactions; Cancer; Cell biology; Chemical biology; Computational biology; Cytochemistry; Developmental biology; Disease mechanisms and therapeutics; DNA, and RNA metabolism; Gene functions, genetics, and genomics; Genetics; Immunology; Medical microbiology; Molecular biology; Molecular genetics; Molecular processes of cell and organelle dynamics; Neuroscience; Protein biosynthesis, degradation, and functions; Regulation of molecular interactions in a cell; Signalling networks and system biology; Structural biology; Virology and microbiology.",annualVolume:11410,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"79367",title:"Dr.",name:"Ana Isabel",middleName:null,surname:"Flores",fullName:"Ana Isabel Flores",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRpIOQA0/Profile_Picture_1632418099564",institutionString:null,institution:{name:"Hospital Universitario 12 De Octubre",institutionURL:null,country:{name:"Spain"}}},{id:"328234",title:"Ph.D.",name:"Christian",middleName:null,surname:"Palavecino",fullName:"Christian Palavecino",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000030DhEhQAK/Profile_Picture_1628835318625",institutionString:null,institution:{name:"Central University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"186585",title:"Dr.",name:"Francisco Javier",middleName:null,surname:"Martin-Romero",fullName:"Francisco Javier Martin-Romero",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSB3HQAW/Profile_Picture_1631258137641",institutionString:null,institution:{name:"University of Extremadura",institutionURL:null,country:{name:"Spain"}}}]},{id:"15",title:"Chemical Biology",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. This topic will closely deal with all emerging trends in this discipline.",annualVolume:11411,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null,editorialBoard:[{id:"241413",title:"Dr.",name:"Azhar",middleName:null,surname:"Rasul",fullName:"Azhar Rasul",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRT1oQAG/Profile_Picture_1635251978933",institutionString:null,institution:{name:"Government College University, Faisalabad",institutionURL:null,country:{name:"Pakistan"}}},{id:"178316",title:"Ph.D.",name:"Sergey",middleName:null,surname:"Sedykh",fullName:"Sergey Sedykh",profilePictureURL:"https://mts.intechopen.com/storage/users/178316/images/system/178316.jfif",institutionString:null,institution:{name:"Novosibirsk State University",institutionURL:null,country:{name:"Russia"}}}]},{id:"17",title:"Metabolism",keywords:"Biomolecules Metabolism, Energy Metabolism, Metabolic Pathways, Key Metabolic Enzymes, Metabolic Adaptation",scope:"Metabolism is frequently defined in biochemistry textbooks as the overall process that allows living systems to acquire and use the free energy they need for their vital functions or the chemical processes that occur within a living organism to maintain life. Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. Thus all studies on metabolism will be considered for publication.",annualVolume:11413,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"243049",title:"Dr.",name:"Anca",middleName:null,surname:"Pantea Stoian",fullName:"Anca Pantea Stoian",profilePictureURL:"https://mts.intechopen.com/storage/users/243049/images/system/243049.jpg",institutionString:null,institution:{name:"Carol Davila University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"203824",title:"Dr.",name:"Attilio",middleName:null,surname:"Rigotti",fullName:"Attilio Rigotti",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institutionString:null,institution:{name:"Pontifical Catholic University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"300470",title:"Dr.",name:"Yanfei (Jacob)",middleName:null,surname:"Qi",fullName:"Yanfei (Jacob) Qi",profilePictureURL:"https://mts.intechopen.com/storage/users/300470/images/system/300470.jpg",institutionString:null,institution:{name:"Centenary Institute of Cancer Medicine and Cell Biology",institutionURL:null,country:{name:"Australia"}}}]},{id:"18",title:"Proteomics",keywords:"Mono- and Two-Dimensional Gel Electrophoresis (1-and 2-DE), Liquid Chromatography (LC), Mass Spectrometry/Tandem Mass Spectrometry (MS; MS/MS), Proteins",scope:"With the recognition that the human genome cannot provide answers to the etiology of a disorder, changes in the proteins expressed by a genome became a focus in research. Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",annualVolume:11414,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null,editorialBoard:[{id:"72288",title:"Dr.",name:"Arli Aditya",middleName:null,surname:"Parikesit",fullName:"Arli Aditya Parikesit",profilePictureURL:"https://mts.intechopen.com/storage/users/72288/images/system/72288.jpg",institutionString:null,institution:{name:"Indonesia International Institute for Life Sciences",institutionURL:null,country:{name:"Indonesia"}}},{id:"40928",title:"Dr.",name:"Cesar",middleName:null,surname:"Lopez-Camarillo",fullName:"Cesar Lopez-Camarillo",profilePictureURL:"https://mts.intechopen.com/storage/users/40928/images/3884_n.png",institutionString:null,institution:{name:"Universidad Autónoma de la Ciudad de México",institutionURL:null,country:{name:"Mexico"}}},{id:"81926",title:"Dr.",name:"Shymaa",middleName:null,surname:"Enany",fullName:"Shymaa Enany",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRqB9QAK/Profile_Picture_1626163237970",institutionString:null,institution:{name:"Suez Canal University",institutionURL:null,country:{name:"Egypt"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/68305",hash:"",query:{},params:{id:"68305"},fullPath:"/chapters/68305",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()