\\n\\n
These books synthesize perspectives of renowned scientists from the world’s most prestigious institutions - from Fukushima Renewable Energy Institute in Japan to Stanford University in the United States, including Columbia University (US), University of Sidney (AU), University of Miami (USA), Cardiff University (UK), and many others.
\\n\\nThis collaboration embodied the true essence of Open Access by simplifying the approach to OA publishing for Academic editors and authors who contributed their research and allowed the new research to be made available free and open to anyone anywhere in the world.
\\n\\nTo celebrate the 50 books published, we have gathered them at one location - just one click away, so that you can easily browse the subjects of your interest, download the content directly, share it or read online.
\\n\\n\\n\\n\\n"}]',published:!0,mainMedia:null},components:[{type:"htmlEditorComponent",content:'
IntechOpen and Knowledge Unlatched formed a partnership to support researchers working in engineering sciences by enabling an easier approach to publishing Open Access content. Using the Knowledge Unlatched crowdfunding model to raise the publishing costs through libraries around the world, Open Access Publishing Fee (OAPF) was not required from the authors.
\n\nInitially, the partnership supported engineering research, but it soon grew to include physical and life sciences, attracting more researchers to the advantages of Open Access publishing.
\n\n\n\nThese books synthesize perspectives of renowned scientists from the world’s most prestigious institutions - from Fukushima Renewable Energy Institute in Japan to Stanford University in the United States, including Columbia University (US), University of Sidney (AU), University of Miami (USA), Cardiff University (UK), and many others.
\n\nThis collaboration embodied the true essence of Open Access by simplifying the approach to OA publishing for Academic editors and authors who contributed their research and allowed the new research to be made available free and open to anyone anywhere in the world.
\n\nTo celebrate the 50 books published, we have gathered them at one location - just one click away, so that you can easily browse the subjects of your interest, download the content directly, share it or read online.
\n\n\n\n\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"1481",leadTitle:null,fullTitle:"Radioisotopes - Applications in Bio-Medical Science",title:"Radioisotopes",subtitle:"Applications in Bio-Medical Science",reviewType:"peer-reviewed",abstract:"The book Radioisotopes - Applications in Bio-Medical Science contains two sections: Radioisotopes and Radiations in Bioscience and Radioisotopes and Radiology in Medical Science. Section I includes chapters on medical radioisotope production, radio-labeled nano-particles, radioisotopes and nano-medicine, use of radiations in insects, drug research, medical radioisotopes and use of radioisotopes in interdisciplinary fields etc. In Section II, chapters related to production of metal PET (positron emission tomography) radioisotopes, 3-dimensional and CT (computed tomography) scan, SS nuclear medicine in imaging, cancer diagnose and treatments have been included. The subject matter will by highly useful to the medical and paramedical staff in hospitals, as well as researchers and scholars in the field of nuclear medicine medical physics and nuclear bio-chemistry etc.",isbn:null,printIsbn:"978-953-307-748-2",pdfIsbn:"978-953-51-6576-7",doi:"10.5772/1937",price:139,priceEur:155,priceUsd:179,slug:"radioisotopes-applications-in-bio-medical-science",numberOfPages:334,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"408245da32dcf9a061e72275dd348b04",bookSignature:"Nirmal Singh",publishedDate:"November 21st 2011",coverURL:"https://cdn.intechopen.com/books/images_new/1481.jpg",numberOfDownloads:65753,numberOfWosCitations:68,numberOfCrossrefCitations:15,numberOfCrossrefCitationsByBook:1,numberOfDimensionsCitations:62,numberOfDimensionsCitationsByBook:1,hasAltmetrics:1,numberOfTotalCitations:145,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"November 9th 2010",dateEndSecondStepPublish:"December 7th 2010",dateEndThirdStepPublish:"April 13th 2011",dateEndFourthStepPublish:"May 13th 2011",dateEndFifthStepPublish:"July 12th 2011",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"48584",title:"Prof.",name:"Nirmal",middleName:null,surname:"Singh",slug:"nirmal-singh",fullName:"Nirmal Singh",profilePictureURL:"https://mts.intechopen.com/storage/users/48584/images/1916_n.jpg",biography:"Dr. Nirmal Singh received his Bsc (Honors School), MSc (Honors School) and PhD from the Panjab University, Chandigarh. He has been Assistant Professor, Associate Professor, Professor and finally Emeritus Professor at Panjab University, Chandigarh. He was the Chairman of the Physics Department from 2004-2007 and Coordinator of the Medical Physics/Nuclear Medicine MSc Course at the University (2006-09). He received an Emeritus Fellowship by University Grant Commission, New Delhi and Emeritus Scientist award by the Council of Scientific and Industrial Research, Government of India. His major fields of research are experimental nuclear physics and radiation physics and he has supervised about two dozen PhD students. He has visited, delivered lectures and worked in many accelerator laboratories in India, USA and Europe. Dr. Singh has reviewed research papers for many international journals of repute. 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On the evening of Monday, April 13, 2020, during “the Wuhan-China virus (COVID-19) Home-Self Quarantine Era,” I was drinking coffee and simultaneously searching on Google Scholar to find some valuable papers regarding “computational biology.”
\nAmong a mass of article links, an article entitled “laptop biology” [1] attracted me. I began to read this paper carefully and found some valuable terms including “hard science” and “soft science.” Indeed, the term “soft science” was used for “experimentation, classification, observation and intuition,” while the “hard science” term depicted “mathematics and algorithms” [1].
\nThen I checked https://www.thefreedictionary.com/ and searched for the terms “hard science” and “soft science.” The results were as follows:
“Hard Science: one of the natural or physical sciences, such as physics, chemistry, biology, geology, or astronomy, any of the natural or physical sciences, in which hypotheses are rigorously tested through observation and experimentation” (https://www.thefreedictionary.com/hard+science).
“Soft Science: a science, such as sociology or anthropology, that deals with humans as its principle subject matter, and is therefore not generally considered to be based on rigorous experimentation, any of the scientific disciplines, as those which study human behavior or institutions, in which strictly measurable criteria are difficult to obtain” (https://www.thefreedictionary.com/Soft+science).
Although the meanings of these terms were very different from what I thought, I liked them. Due to this fact I found that it is better to use my terminology talent to represent new terms “hard biology” and “soft biology.”
\nI used the term “hard biology” for experimental (in vitro, in vivo, and in situ investigations) biology. This term has a direct deal with experimentation and work bench within the wet labs [2].
\nIn contrast to “hard biology,” I used the term “soft biology” based on in silico or desktop work [2] and laptop biology [1].
\nI hope that these terms are useful for the readers of this book and other scientists around the world. With this background I begin the main text of the introductory chapter.
\nUndoubtedly the famous physical chemist from the USA, Margaret Dayhoff (1925–1983), the mother and father of bioinformatics, was the key scientist who employed computers and the related software tools in biochemistry [3, 4].
\nIndeed, it was Dayhoff who understood the importance of computers and computational methods not only in biology but also in medicine [4].
\nIn 1960, Dayhoff as the Associate Director of the National Biomedical Research Foundation began her collaboration with her physicist colleague, Robert S. Ledley, who, like Dayhoff, was interested in employing computers in biomedical sciences [3, 5, 6].
\nThe outcome of their scientific collaboration (Dayhoff-Ledley) in the period of 1958–1962 led to a computer program COMPROTEIN (coded FORTRAN) which was designed for IBM 7090. The software COMPROTEIN (a de novo sequence assembler) was able to determine the primary structure of protein throughout the Edman peptide sequencing data [3, 7].
\nThe amino acid one-letter coding system was founded by Dayhoff [3, 8]. Dayhoff and Eck continued their scientific activities by publishing the first edition of the invaluable book entitled
During the golden decade between the years 1970 and 1980, the DNA language was decoded. However, the genetic codes of 64 codons were decoded in 1968 [3, 10]. Sanger’s sequencing method of DNA based on “plus and minus” strands was performed 25 years after the recognition of the first protein sequence [3, 11, 12]. 1979 is the historical year for using the first software for Sanger’s DNA sequencing method. In the paper published by Rodger Staden in 1979 via the journal of
During the years of 1980–1990, the application of computational sciences significantly increased. In 1983, the polymerase chain reaction (PCR) was invented by Kary B. Mullis (1944–2019 (https://www.nytimes.com/2019/08/15/science/kary-b-mullis-dead.html)). Kary Banks Mullis as an American biochemist invented a valuable molecular method which was based on in vitro synthesis of DNA [14, 15, 16]. So, by the discovery of DNA molecules in the 1950s, and in consequence the early application of pro-computers, invention of molecular and sequencing methods, and utilizing Internet services within a short duration, it seems that several revolutionized features have happened in molecular biology [17].
\nAlthough computers and the related software tools were employed since the 1960s in biology, it was in the limited scales. I believe that by the invention of PCR as an in silico-in vitro (dry lab-wet lab) technology and its flying speed as a general molecular biology approach changed the traditional methodologies. By global generalization of PCR, the use of Internet services, computers, and software tools got significant acceleration. In this regard, designing different primers in large and global scales led to progression of in silico studies and appearance of dry labs within the wet labs.
\nDue to this fact, during a very short time, a mass of raw data was obtained by scientists around the world, and these data got stored within different biological databases like the National Center for Biotechnology Information (NCBI) (https://www.ncbi.nlm.nih.gov/), European Molecular Biology Laboratory (EMBL) (https://www.embl.org/), Kyoto Encyclopedia of Genes and Genomes (KEGG) (https://www.genome.jp/kegg/), and DNA Data Bank of Japan (DDBJ) (https://www.ddbj.nig.ac.jp/index-e.html) [18].
\nAt the same time, these giant databases began to give more free software tools, information, and other services. These features have led to establishing 1637 free online databases (http://www.oxfordjournals.org/nar/database/c/) up to now [19].
\nToday, some databases including The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) (https://www.rcsb.org/) serve its global users for free. 3D macromolecular structure data is one of the most popular products which scientists and researchers use for free around the world [20].
\nSince 1971 when the US data center of RCSB PDB was founded, it provided digital data in biology for its users with open-access policy [20], an opportunity which all the consumers should be grateful for.
\nAll in all, soft biology was founded in the 1960s with a low speed, but it accelerated by the invention of PCR in the 1980s. The PCR invention softened the science of biology throughout Internet services, an occurrence which resulted in progressive in silico studies, dry labs, and software tools.
\nToday, a biologist is recognized by her/his laptop, Internet connection, and filled USB flash drives with different bioinformatics software tools!
\nHence, hard biology got softened by establishing the science of bioinformatics and is continued to be more softened by computational biology!
\nBut the important question is:
\n“How does biology get more softened in the future?”
\nThe authors declare no conflicts of interest.
An appropriate quit smoking program is needed for Thai people because smoking is life-threatening and toxic to society. It affected others to be second-hand or third-hand smokers. So, it is a danger to the nation and people who get cigarette smoke from the public, in the workplaces, or in their houses. During the Coronavirus disease 2019 (Covid-19) outbreak, it was found that smokers who get diseases from smoking including cardiovascular diseases, chronic lung diseases, and diabetes are much more likely to be hospitalized or die if they catch coronavirus [1].
Covid-19 has triggered a global pandemic [2]. As of September 30th, 2021, 324 million cases had already been registered worldwide. The pandemic of Covid-19 has been very stressful, but there has never been a better time to quit smoking [3].
Quitting smoking is an important step to reduce the risk of developing cardiovascular complications. Smoking cigarettes makes the wall of the arteries sticky from the chemicals, so fatty material can stick to them. If the arteries that carry blood to the heart or brain get damaged and clogged, it leads to heart attack or stroke [4]. Smoking impairs lung function, making it harder for the body to fight off coronavirus and other diseases [5]. It is increasing the risk of severe illness, hospitalization, and death after being infected [3].
Smoking is different from other addictive drugs such as heroin, marijuana, and amphetamine, which have strict control by state and law and have a clear treatment. To protect people from smoking, the governments over the world only ask for operations and have a slogan, motivated to act and campaign to quit smoking since they found that smoking cigarette is an important cause of morbidity and mortality. Before the year 1981, there were 50,000 excess deaths per year in Britain, and 325,000 in the United States of America (USA) [6, 7, 8]. In Thailand, 10,000,000 Thai people were smokers in 1981, and at the time, most of them were teenagers [9]. The harms of tobacco use are well established, it causes 8 million deaths every year from cardiovascular diseases, respiratory diseases, cancers [10].
Since 2000, many countries chose the health of people instead of cigarettes: People in the USA had concerned of to be nonsmoking societies. The government of Canada had a smoking cessation program for the young generation. In Belgium, smoking had been prohibited in the public. Hong Kong and Singapore had created tobacco-free societies. India had prohibited smoking in close areas such as cinemas, on public transportations, in institutions, and in hospitals by law [11].
World Health Organization (WHO) has been concerned about smoking problems and set “the World No Tobacco Day.” The first date was May 31, 1988, and has a slogan every year to persuade people to quit smoking. Most slogans since 1987 have encouraged people to be aware of their health and others’ health. However, since 2020, the slogan needs people to quit smoking to avoid the severity of coronavirus infection. In 2020, it was “Addicted to Cigarettes, Addicted to Covid-19, High risk of Death# Quit Smoking, Reduce the Risk,” and in 2021, it was “Quit Smoking, Reduce the Risk, You Can” [12].
This study aimed to find an appropriate quit smoking program for Thai people on the spread of Covid-19 in Thailand during 2019–2021.
To synthesize contents from Khon Kaen University (KKU) staffs’ and students’ research studies and projects from 1989 to 2021 about smoking problems and quit smoking programs.
To find an appropriate quit smoking program for Thai people during the Covid-19 pandemic.
Fifteen publications and five project presentations by the KKU staff and students were retrieved, reviewed, and analyzed in two steps, to synthesize, and to find appropriate smoking programs.
The research review was approved by the Ethics Committee for Human Research at Khon Kaen University, Thailand (HE500637, HE513257, HE531310, HE551346, HE591188, Institutional Review Board Number (IRB 00001189), and Nepal Health Research Council (Reg. No 148/2021). Most of the research studies were based on secondary data. Those who volunteered had signed the consent form.
There were two steps to these research results as follows:
In step 1: To synthesize contents from Khon Kaen University (KKU) staffs’ and student’s research studies and projects from 1989 to 2021 about smoking problems and quit smoking programs. It found that there were five groups of Thai people, for example, Thai males, Thai females, pregnant women, the youth and the students, and the workers, who need to quit smoking. Doctors who work in quit smoking clinics in hospitals or in private clinics can help them by treatment and counseling. Families and their communities can mentally support them as follows:
Research studies reported smoking problems presented; those Thai males smoke more than females in the universities [13, 14, 15, 16] and in the factories [17, 18, 19]. Cigarette smoking was caused by substance abuse, for example, nicotine, tar, carbon monoxide, hydrogen cyanide, nitrogen dioxide, ammonia, formaldehyde, and cadmium [20]. Most of this substance abuse is caused by cancer and easily to be addicts [20]. Unfortunately, these reported that most of the smoking and drug addicts were the youth, 95.0% were males [19]. One hundred presented of drug addicts, 40.3% were unemployed, 15.5% were students [19]. Most of them got addicts as experimental (56.8%), harmful (24.2%), dependent (13.9%), and psychosis (5.1%) [19].
Smoking and substance abuse did people uncomfortable from chronic cough, tremor, and heart palpitation, no appetite, headache, moodiness, sleeplessness, wakefulness, and easy to get an accident, less of condom used risk to HIV/AIDS [21] and also were threatened by the law [18]. In the case of carbon monoxide (CO), measurement of breath CO level can be used in confirming smoking status, oral health, and factors related [22, 23, 24, 25]. Some research reported that tobacco smoking is a risk indicator for periodontitis [26]. More dentists advised their patients to quit smoking [26].
The drug treatment system in Thailand has been classified into three types, namely the voluntary system, the correctional system, and the compulsory system. The compulsory system is under inhalant law and drug addict rehabilitation AC [27]. The research from the compulsory treatment system in Khon Kaen and Yasothon province about a relapse of methamphetamine users reported that 13 cases out of 65 cases were relapsed, and the left 52 cases were non-relapsed [17].
Researchers reported that family relationships and community participation can help children and youth from stressful and prohibit them from smoking or substance abuse. These research studies presented those children whose mothers look after them very closely had better growth development and better health than whose mothers worked outside the communities and left them to stay with their relatives [28]. In addition, it was found that marital status, occupational, and income were correlated in ascendant order to community participation in the youth’s mental health [29].
Reviewed cases reported of quit smoking successful in each group of Thai people were as follows:
One case reported that a Thai male who smoked since 1976 and was able to quit smoking in 2019 because of his health problem from an acute heart attack and need to insert three out of four catheters entering the heart. His doctor told him to stop smoking because it is a high risk of death from heart diseases and infected coronavirus. Before this, his parent and his family told him to stop smoking, because most of his family members are doctors. He cannot stop smoking, because he got stressed so easily. However, he prevented his family member from passive smoking when he smoked.
One case reported a Thai female who smoked since she was very young, because of a broken family. She lived alone in the dormitory for study. During that time, she met her friends who have the same problems as her. Her friend persuaded her to smoke. She felt it made her comfortable and reduced her stress. She can quit smoking because she visited one beauty clinic, after she had a boyfriend, she found that her face looks older than other girls who were of the same age as her. Doctors in the beauty clinic told her that cigarette smoking made smokers look older than the others for 10 years. After she stops smoking, she looks younger and pretty. She was married and planned to have a baby, safe from passive smoking.
One case reported that it was very difficult for her to quit smoking because five people of her family member both males and females are smokers. They smoked in her house. She felt it was harder for her to quit smoking and avoid passive smoking. Because she loves her first baby very much, she can quit smoking by herself. But for the second and the third babies, she cannot stop smoking by herself, she needs to use candy and gum. However, she cannot stop smoking because her environment and the people around her are smokers. Finally, she quit smoking in 2010, after smoking since 2003 with helping from the Health Promotion Foundation (Thailand National Quitline: call 1600) [30].
One case of the youth reported that he smoked and drank with his friends very often. He looked at his friend who smoked and drank, was very smart, and had the power over his group. One night he got into a motorcycle accident and needed to operate his dental and jaw. His parent felt so sad, he decided to quit smoking and drinking alcohol for his parent. In the case of one student, he smoked during his study in high school. He was able to stop smoking because he wants to be a good doctor and help the patient to quit smoking.
One case of a construction worker who smoked and drank every day since he was aged only 15 years old. His family asked him to stop smoking and drinking alcohol because he had one boy child aged 3 years old. His wife did not want his child to be passive smoking and feel that smoking and drinking are not good for his life. He cannot stop smoking and drinking until he was arrested and fined for drunk driving with serious penalties during the happy new year celebration for 2021. He can stop drinking, but smoking he cannot because his life was very stressful, smoking helped him to relax.
Reviewed five leading factors related to quitting smoking from five groups of Thai people. It prescribed that there are five leading factors as follows (see Figure 1).
Thai males’ reasons for quitting smoking were (1) for their health, (2) to avoid diseases related to smoking and Covid-19 infected, (3) for their families, (4) for their friends, and (5) for their workplaces.
Thai females’ reasons for quitting smoking were (1) for their self-image, (2) for their children and families, (3) for their health, (4) for their workplaces, and (5) to avoid diseases related to smoking and Covid-19 infected.
The pregnant women’s reasons for quitting smoking were (1) for their babies, (2) for their self-image, (3) for their families, (4) for their friends, and (5) to avoid diseases related to smoking and Covid-19 infected.
The youths’ reasons and the students’ reasons for quitting smoking were (1) for their parent and their studies, (2) for their friends, (3) for their health, (4) to avoid diseases related to smoking and Covid-19 infected, and (5) for their societies.
The workers’ reasons for quitting smoking were (1) for their health and employment, (2) for their workplaces, (3) for their employers, (4) to avoid diseases related to smoking and Covid-19 infected, and (5) for their families.
An appropriate quit smoking program for Thai people in the year 2020–2021.
In step 2: To find an appropriate quit smoking program for Thai people during the Covid-19 pandemic: to develop an appropriate quit smoking program for each group of Thai people were three steps as follows (see Figure 1).
First step
1.1 Reviewed research results about the smoking problems
1.2 Concluded of factors related to smoking
1.3 Reviewed of past cessation of quit smoking programs
Second step
2.1 History taking of bibliography, and smoking habits
2.2 Health education about the dangers of smoking
2.3 Motivated to quit smoking
2.4 Presented of others quit smoking
2.5 Suggestion of behavior changes, and exercises
2.6 Appreciate those who are able to quit smoking and are a non-smoker.
Final step
3.1 Follow-up at 1, 2, and 3 months after quitted smoking
3.2 A 1-year follow-up for evaluation of the results
3.3 Five-years follow-up for the sustainability of quitting smoking
Appropriate Quit Smoking Program for Thai males, Thai females, the pregnant women, the youth and the students, and the workers need to the concerned of five reasons suitable for each group of Thai people, for example, the first leading related to quitting smoking for males was for their health, for females was for their self-image, for the pregnant women were for their babies, for the youth and the students were for their parents, and their studies, and for the workers were for their health and employment (see Figure 1).
In conclusion, smoking problems in Thai people were a concern. The Ministry of Public Health has discriminated knowledge regarding the dangers of smoking and has organization carry out all domeht and campaigns of anti-smoking and had Anti-Smoking Act, in the workplace on Covid-19 pandemic during 2019–2021. Projects and research studies were able to help reduce these smoking problems. An appropriate quit smoking program was developed and implemented to be suitable in each group during the Covid-19 pandemic as presented in Figure 1.
From our study, it found that Thai males smoke more than Thai females, similar to Ji’s report of the opposite idea of quitting smoking among Korean men and women, women smoked less than men and had a trend to quit smoking more than men [31]. Most of the smoking and drug addicts in Thailand were youth of 15 years old and older [9, 19]. They were unemployed (40.3%), and 15.5% were students [19]. The same as Karlan found that Filipinos aged 15 years or older were smokers up to 28.3%, and 22.5% smoked daily in 2009 [32]. About relapse of methamphetamine users in Northeast of Thailand reported that 13 cases out of 65 cases were relapsed, and the left 52 cases where non-relapse is closely reported of prior research with Filipinos that 72%, they wanted to stop smoking at some point, only 18% reported that they wanted to stop smoking now [32]. Our studies reported that family relationships and community participation can prohibit youth from smoking, similar to Garcia’s report, which found that cessation programs for a smoking group should focus on changing the smokers’ social environment and perception regarding the positive consequences of smoking in a way that is culturally sensitive and appropriate and considering the different levels of acculturation [33]. Complete prohibition of smoking in the household was one of the strongest correlates of successful quitting [33].
From our in-depth interview with women, one of them presented that she can quit smoking because she is concerned about her self-image. She found that her face looked older than her friends. She consulted doctors in a private clinic and desired to quit smoking. Similar to the government policy of the Philippines that persuades people to quit smoking for the self-image as “A Cigarette may out weight,” results in the Philippines because some of them could quit smoking [32].
Our report of an appropriate quit smoking program for Thai people during the Covid-19 pandemic was reviewed from our research and our projects [34, 35, 36, 37, 38]. We are concerned about the individual differences for Thai males and females, the pregnant women, the youth and the students, and the workers. It found that the reasons for quitting smoking are in five leader reasons, but the difference in the first reason, most Thai males concerned of their health, Thai females concerned of their self-image, the pregnant women concerned of their babies, the youth and students concerned of their parents and their studies, and the workers concerned of their health and employment. Our quit smoking program had three steps, for example, first step, second step, and final step with 1, 2, and 3-month follow-up after quitting smoking, similar to the study of Nakhum District Hospital staffs [38] but in this study had another 1-year follow-up for evaluated the results of quitting, and 5-years follow-up for sustainable quit smoking. In our setting in the northeastern province such as Khon Kaen and Sakon Nakhon, they follow the Thai government policy and persuade people to quit smoking.
Smoking is an important problem in Thailand and over the world. It is a drug addict that causes severe diseases more than 200, such as lung cancer, chronic obstructive pulmonary disease (COPD), esophageal cancer, peptic cancer, gastrointestinal cancer, colon cancer, periodontitis, and asthma, it causes death from cancer.
Cigarette smoking and Covid-19 are complex interactions. During the pandemic, some reported that smokers are less likely to get the Coronavirus, while others reported smoking increased the risk of severe illness from it. A review by the World health Organization (WHO) found that smoking is associated with more severe illness and increased risk of death in people who need hospital treatment for Covid-19. Current smokers who get Coronavirus are twice as likely to attend hospital and tend to report more symptoms than non-smokers.
To control smoking, many countries had policies of Anti-Smoking Act, in the public, hospitals, institutions, in the families, in the communities, and in the workplaces. An appropriate quit smoking program needs to be developed and implemented, suitable for all Thai people in the hospitals, private clinics, families, and communities.
Strongest Thai government policies are of Anti-Smoking Act and control of Covid-19 pandemic. The physician and health personnel’s role is to help patients to quit smoking and protect themselves from Coronavirus infection. Good family relationships participated from communities and societies with mental support can help reduce the problems of smoking, substance abuse, and also the Covid-19 pandemic.
The authors wish to thank (a) all the participants for their valuable contribution to this study, (b) provincial probation offices, the Department of Probation Office of the Narcotic Control Board, ISAN Substance Abuse Network, and Illicit Drugs Substance Abuse Academic Information Development Network for data support, and (c) Faculty of Dentistry and Faculty of Medicine, Khon Kaen University (KKU) for financial support.
All authors declare that they have no conflicts of interest.
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The speakers include both native and non-native speakers of English. NLP or Natural Language Processing on the other hand is a branch of computer science that deals with one of the most challenging aspect that a machine can process: dealing with Natural Languages. Natural languages which have evolved over centuries are complete, diverse and highly complex and thus are challenging for a computer system to understand and process. MT or Machine Translation is a more specific part of NLP that translates one natural language to another (English being one of the major researched and sought after languages among them). Though research in the field of NLP and MT has come a long way and many efficient translators are available, still Translation and other NLP applications in specialized domains such as aeronautics are still today a challenge for NLP researchers and developers to achieve. NLP applications are often used in education of English Language, and are therefore a continuous process for Non-Native speakers of English. Non-native English speakers take help of various NLP tools such as E-Dictionary, MT applications and others to better understand the English language and thus learn it better and faster. Aviation English poses a challenge to MT systems and understanding it as a whole requires specialized handling as it has own phonetic pronunciations and terminologies and constituent Out-Of-Vocabulary words. Dealing with Aviation English calls for teaming up of experts from Applied Linguistics, NLP and AI. As a result it becomes a cross-research discipline that covers situations that demand real time use of proper language, e.g. ATC communications. This Paper aims to discuss most recent research methodologies that deals with the Aviation English and reviews the problems posed by it. Being a specialized and structured form of English, the problems are faced by both native and non-native speakers of English Language. Discussion is carried out in the relevant and recent advances of methods in dealing with aviation English language challenges from both, the Human (ICAO/DGCA/AAI) as well as NLP angle. Lastly we have a look at how these challenges are linked to scope for development of applied technologies. Research in experiential Aviation English situations deals with both English for Specific Purposes - ESP (Aeronautics in our case) as well as situations in English as a Foreign Language i.e. EFL (English-Indian language pair).",book:{id:"10690",slug:"air-traffic-management-and-control",title:"Air Traffic Management and Control",fullTitle:"Air Traffic Management and Control"},signatures:"Saptarshi Paul",authors:[{id:"417288",title:"Assistant Prof.",name:"Saptarshi",middleName:null,surname:"Paul",slug:"saptarshi-paul",fullName:"Saptarshi Paul"}]},{id:"78183",doi:"10.5772/intechopen.99619",title:"Deep Learning Network for Classifying Target of Same Shape using RCS Time Series",slug:"deep-learning-network-for-classifying-target-of-same-shape-using-rcs-time-series",totalDownloads:136,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The main intension of this work is to find the warhead and decoy classification and identification. Classification of radar target is one of the utmost imperatives and hardest practical problems in finding out the missile. Detection of target in the pool of decoys and debris is one of the major radas technologies widely used in practice. In this study we mainly focus on the radar target recognition in different shapes like cone, cylinder and sphere based on radar cross section (RCS). RCS is a critical element of the radar signature that is used in this work to identify the target. The concept is to focus on new technique of ML for analyzing the input data and to attain a better accuracy. Machine learning has had a significant impact on the entire industry as a result of its high computational competency for target prediction with precise data analysis. We investigated various machine learning classifiers methods to categorize available radar target data. This chapter summarizes conventional and deep learning technique used for classification of radar target.",book:{id:"10690",slug:"air-traffic-management-and-control",title:"Air Traffic Management and Control",fullTitle:"Air Traffic Management and Control"},signatures:"Rashmi Narasimhamurthy and Osamah Ibrahim Khalaf",authors:[{id:"426189",title:"Dr.",name:"Rashmi",middleName:null,surname:"Narasimhamurthy",slug:"rashmi-narasimhamurthy",fullName:"Rashmi Narasimhamurthy"}]},{id:"78211",doi:"10.5772/intechopen.99640",title:"Human Factors Quality Control in Air Traffic",slug:"human-factors-quality-control-in-air-traffic",totalDownloads:138,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Every living person, from infants to older people, gets affected by internal and external factors. There are numerous researches and writings related to humans and these various factors. Human factors are recognized since the start of the human race. The awareness of the impacts of our environment is not new to humans. The focus in this chapter is upon those factors which can create an impact on aircraft mechanisms and air traffic controllers. These factors include human, psychological, work conditions, training, health conditions, environment, societal, and training. These factors must be quality controlled to minimize the errors in the critical domain of air traffic. A reduction in the number of errors will allow the performance to be higher and lowers the chances of fatal accidents.",book:{id:"10690",slug:"air-traffic-management-and-control",title:"Air Traffic Management and Control",fullTitle:"Air Traffic Management and Control"},signatures:"Muhammad Usman Tariq",authors:[{id:"416758",title:"Associate Prof.",name:"Muhammad",middleName:null,surname:"Usman",slug:"muhammad-usman",fullName:"Muhammad Usman"}]},{id:"78855",doi:"10.5772/intechopen.100274",title:"Online Estimation of Terminal Airspace Sector Capacity from ATC Workload",slug:"online-estimation-of-terminal-airspace-sector-capacity-from-atc-workload",totalDownloads:98,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Neural Partial Differentiation (NPD) approach is applied to estimate terminal airspace sector capacity in real-time from the ATC (Air Traffic Controller) dynamical neural model with permissible safe separation and affordable workload. A neural model of a multi-input-single-output (MISO) ATC dynamical system is primarily established and used to estimate parameters from the experimental data using NPD. Since the relative standard deviations of these estimated parameters are lesser, the predicted neural model response is well matched with the intervention of ATC workload. Moreover, the proposed neural network-based approach works well with the experimental data online as it does not require the initial values of model parameters that are unknown in practice.",book:{id:"10690",slug:"air-traffic-management-and-control",title:"Air Traffic Management and Control",fullTitle:"Air Traffic Management and Control"},signatures:"Majeed Mohamed",authors:[{id:"419366",title:"Dr.",name:"Majeed",middleName:null,surname:"Mohamed",slug:"majeed-mohamed",fullName:"Majeed Mohamed"}]},{id:"79263",doi:"10.5772/intechopen.101086",title:"Key Aspects of Occupational Health and Safety towards Efficiency and Performance in Air Traffic Management",slug:"key-aspects-of-occupational-health-and-safety-towards-efficiency-and-performance-in-air-traffic-mana",totalDownloads:113,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"This paper/chapter deals with the key drivers for adopting and developing an Occupational Health and Safety System (OHS) with a special focus on air traffic management and traffic controller’s workplace. A such system includes regulation and legal compliance procedures, actions and monitoring for ensuring workplace safety, incentives and motivation for the air traffic controller and associate personnel health and wellbeing. By a systemic approach, the key characteristics of OHS towards air traffic management are presented, highlighting the key aspects for implementing a quality management system in air traffic control, which is the cornerstone of airport operation efficiency and productivity on one hand; and the nature of job and the intensive working environment is well recognised. Based on air traffic providers functional analysis the key occupational aspects for air traffic control are taken into consideration, providing the benefits for implementing quality management systems (QMS) and OHS is real business. Conventional wisdom is to highlight the importance for establishing and incorporating a modern custom-made OHS system in accordance with the requirements addressed by OHSAS 18001 to develop and implement a QMS for air traffic services. Contribution of this paper is to highlight the key priorities for managers and decision makers in field of air traffic services providers, depicting ways and recommendation for adopting an efficient path for implementing OHS in a QMS environment.",book:{id:"10690",slug:"air-traffic-management-and-control",title:"Air Traffic Management and Control",fullTitle:"Air Traffic Management and Control"},signatures:"Dimitrios Dimitriou and Stylianos Zantanidis",authors:[{id:"207943",title:"Prof.",name:"Dimitrios",middleName:null,surname:"Dimitriou",slug:"dimitrios-dimitriou",fullName:"Dimitrios Dimitriou"},{id:"417813",title:"Dr.",name:"Stylianos",middleName:null,surname:"Zantanidis",slug:"stylianos-zantanidis",fullName:"Stylianos Zantanidis"}]}],mostDownloadedChaptersLast30Days:[{id:"78059",title:"Behavioral Modeling Paradigm for More Electric Aircraft Power Electronic Converters",slug:"behavioral-modeling-paradigm-for-more-electric-aircraft-power-electronic-converters",totalDownloads:108,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"To control the power flow among various energy sources and loads of a power system of modern more electric aircrafts, power electronics converters are employed. The integration of multiple sources into distribution system and their interconnection with variety of loads through power electronic converters results in a complex dynamic system. Modeling of these systems prior to implementation becomes necessary to analyze and predict system’s behavior. The classical modeling approaches require detail knowledge about the topology and parameters of the active and passive components of the power electronics converters. While in modern system, most of the power electronics converters are ready to use power electronics modules. These modules come from different manufacturers, lacking the necessary information to build the conventional switch or average models. The chapter would cover dynamic behavioral modeling technique for power electronics systems to be employed in more electric aircrafts, which do not require any prior information about the internal details of the system.",book:{id:"10690",slug:"air-traffic-management-and-control",title:"Air Traffic Management and Control",fullTitle:"Air Traffic Management and Control"},signatures:"Husan Ali",authors:[{id:"420730",title:"Dr.",name:"Husan",middleName:null,surname:"Ali",slug:"husan-ali",fullName:"Husan Ali"}]},{id:"78183",title:"Deep Learning Network for Classifying Target of Same Shape using RCS Time Series",slug:"deep-learning-network-for-classifying-target-of-same-shape-using-rcs-time-series",totalDownloads:136,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The main intension of this work is to find the warhead and decoy classification and identification. Classification of radar target is one of the utmost imperatives and hardest practical problems in finding out the missile. Detection of target in the pool of decoys and debris is one of the major radas technologies widely used in practice. In this study we mainly focus on the radar target recognition in different shapes like cone, cylinder and sphere based on radar cross section (RCS). RCS is a critical element of the radar signature that is used in this work to identify the target. The concept is to focus on new technique of ML for analyzing the input data and to attain a better accuracy. Machine learning has had a significant impact on the entire industry as a result of its high computational competency for target prediction with precise data analysis. We investigated various machine learning classifiers methods to categorize available radar target data. This chapter summarizes conventional and deep learning technique used for classification of radar target.",book:{id:"10690",slug:"air-traffic-management-and-control",title:"Air Traffic Management and Control",fullTitle:"Air Traffic Management and Control"},signatures:"Rashmi Narasimhamurthy and Osamah Ibrahim Khalaf",authors:[{id:"426189",title:"Dr.",name:"Rashmi",middleName:null,surname:"Narasimhamurthy",slug:"rashmi-narasimhamurthy",fullName:"Rashmi Narasimhamurthy"}]},{id:"78211",title:"Human Factors Quality Control in Air Traffic",slug:"human-factors-quality-control-in-air-traffic",totalDownloads:138,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Every living person, from infants to older people, gets affected by internal and external factors. There are numerous researches and writings related to humans and these various factors. Human factors are recognized since the start of the human race. The awareness of the impacts of our environment is not new to humans. The focus in this chapter is upon those factors which can create an impact on aircraft mechanisms and air traffic controllers. These factors include human, psychological, work conditions, training, health conditions, environment, societal, and training. These factors must be quality controlled to minimize the errors in the critical domain of air traffic. A reduction in the number of errors will allow the performance to be higher and lowers the chances of fatal accidents.",book:{id:"10690",slug:"air-traffic-management-and-control",title:"Air Traffic Management and Control",fullTitle:"Air Traffic Management and Control"},signatures:"Muhammad Usman Tariq",authors:[{id:"416758",title:"Associate Prof.",name:"Muhammad",middleName:null,surname:"Usman",slug:"muhammad-usman",fullName:"Muhammad Usman"}]},{id:"78855",title:"Online Estimation of Terminal Airspace Sector Capacity from ATC Workload",slug:"online-estimation-of-terminal-airspace-sector-capacity-from-atc-workload",totalDownloads:98,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Neural Partial Differentiation (NPD) approach is applied to estimate terminal airspace sector capacity in real-time from the ATC (Air Traffic Controller) dynamical neural model with permissible safe separation and affordable workload. A neural model of a multi-input-single-output (MISO) ATC dynamical system is primarily established and used to estimate parameters from the experimental data using NPD. Since the relative standard deviations of these estimated parameters are lesser, the predicted neural model response is well matched with the intervention of ATC workload. Moreover, the proposed neural network-based approach works well with the experimental data online as it does not require the initial values of model parameters that are unknown in practice.",book:{id:"10690",slug:"air-traffic-management-and-control",title:"Air Traffic Management and Control",fullTitle:"Air Traffic Management and Control"},signatures:"Majeed Mohamed",authors:[{id:"419366",title:"Dr.",name:"Majeed",middleName:null,surname:"Mohamed",slug:"majeed-mohamed",fullName:"Majeed Mohamed"}]},{id:"78139",title:"Understanding Aviation English: Challenges and Opportunities in NLP Applications for Indian Languages",slug:"understanding-aviation-english-challenges-and-opportunities-in-nlp-applications-for-indian-languages",totalDownloads:123,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"English is a language that is understood, spoken and used by citizens of a diverse array of countries. The speakers include both native and non-native speakers of English. NLP or Natural Language Processing on the other hand is a branch of computer science that deals with one of the most challenging aspect that a machine can process: dealing with Natural Languages. Natural languages which have evolved over centuries are complete, diverse and highly complex and thus are challenging for a computer system to understand and process. MT or Machine Translation is a more specific part of NLP that translates one natural language to another (English being one of the major researched and sought after languages among them). Though research in the field of NLP and MT has come a long way and many efficient translators are available, still Translation and other NLP applications in specialized domains such as aeronautics are still today a challenge for NLP researchers and developers to achieve. NLP applications are often used in education of English Language, and are therefore a continuous process for Non-Native speakers of English. Non-native English speakers take help of various NLP tools such as E-Dictionary, MT applications and others to better understand the English language and thus learn it better and faster. Aviation English poses a challenge to MT systems and understanding it as a whole requires specialized handling as it has own phonetic pronunciations and terminologies and constituent Out-Of-Vocabulary words. Dealing with Aviation English calls for teaming up of experts from Applied Linguistics, NLP and AI. As a result it becomes a cross-research discipline that covers situations that demand real time use of proper language, e.g. ATC communications. This Paper aims to discuss most recent research methodologies that deals with the Aviation English and reviews the problems posed by it. Being a specialized and structured form of English, the problems are faced by both native and non-native speakers of English Language. Discussion is carried out in the relevant and recent advances of methods in dealing with aviation English language challenges from both, the Human (ICAO/DGCA/AAI) as well as NLP angle. Lastly we have a look at how these challenges are linked to scope for development of applied technologies. Research in experiential Aviation English situations deals with both English for Specific Purposes - ESP (Aeronautics in our case) as well as situations in English as a Foreign Language i.e. EFL (English-Indian language pair).",book:{id:"10690",slug:"air-traffic-management-and-control",title:"Air Traffic Management and Control",fullTitle:"Air Traffic Management and Control"},signatures:"Saptarshi Paul",authors:[{id:"417288",title:"Assistant Prof.",name:"Saptarshi",middleName:null,surname:"Paul",slug:"saptarshi-paul",fullName:"Saptarshi Paul"}]}],onlineFirstChaptersFilter:{topicId:"681",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:99,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:290,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:108,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:1,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:12,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. 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Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). 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He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,annualVolume:11419,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,annualVolume:11420,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,annualVolume:11421,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,annualVolume:11422,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. 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(Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. 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He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. 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He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. 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He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. 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Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. 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Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. 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Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356823",title:"MSc.",name:"Seonghee",middleName:null,surname:"Min",slug:"seonghee-min",fullName:"Seonghee Min",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Daegu University",country:{name:"Korea, South"}}},{id:"353307",title:"Prof.",name:"Yoosoo",middleName:null,surname:"Oh",slug:"yoosoo-oh",fullName:"Yoosoo Oh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:"Yoosoo Oh received his Bachelor's degree in the Department of Electronics and Engineering from Kyungpook National University in 2002. He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. His research interests include Activity Fusion & Reasoning, Machine Learning, Context-aware Middleware, Human-Computer Interaction, etc.",institutionString:null,institution:{name:"Daegu Gyeongbuk Institute of Science and Technology",country:{name:"Korea, South"}}},{id:"262719",title:"Dr.",name:"Esma",middleName:null,surname:"Ergüner Özkoç",slug:"esma-erguner-ozkoc",fullName:"Esma Ergüner Özkoç",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Başkent University",country:{name:"Turkey"}}},{id:"346530",title:"Dr.",name:"Ibrahim",middleName:null,surname:"Kaya",slug:"ibrahim-kaya",fullName:"Ibrahim Kaya",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"419199",title:"Dr.",name:"Qun",middleName:null,surname:"Yang",slug:"qun-yang",fullName:"Qun Yang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Auckland",country:{name:"New Zealand"}}},{id:"351158",title:"Prof.",name:"David W.",middleName:null,surname:"Anderson",slug:"david-w.-anderson",fullName:"David W. 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