\r\n\tcontrol, other executive functions, and higher-order mental abilities. Contributing authors will further discuss applied, clinical, and practical implications of response inhibition deficits across neuropsychiatric phenomena with divergent clinical features and presentations, in addition to considering its potential value as an endophenotype or bio-behavioral marker of genetic susceptibility.
\r\n\r\n\tFinally, this book will cover current and emerging approaches to intervention, prevention, and remediation of response inhibition deficits in high-risk populations.
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\n“I’ve just seen a face,
\nI cannot forget the time or place
\nwhere we just met.
\nShe’s just the girl for me
\nand I want all the world to see
\nwe have met…”
\nMankind has developed certain skills allowing for fast and reliable processing of facial information. Humans are able to detect faces: that is, the ability to identify and locate all the present faces within the receptive field (“I’ve just seen a face”). Humans also have the ability to recognize a face: to judge whether a face has been seen before and in case of positive recognition the ability to retrieve semantic data such as name or context of encounter (“I can’t forget the time or place…”). People recognize other people by their face and not, for example, by the palm of their hand. The face plays a crucial role in mate quality appraisal (“She’s just the girl for me…,” asserts Sir Paul McCartney after only seeing her face), and the preference for facial beauty exists from a very young age [2, 3]. A pretty partner is a status symbol [4], that is, a visible indicator of economic or social status (“I want all the world to see we’ve met…”).
\nRandom social encounters can lead to dramatic consequences ranging from trust and romantic relationships to fear and violent clashes. The decision whether to avoid or approach an unknown person therefore involves a quick risk assessment of potential gains and losses. When there is no prior information, such a decision is in many cases based on outward appearance. Humans quickly infer social traits, such as attractiveness, aggressiveness, dominance, and trustworthiness from the physical properties of the bodies and faces of others [5, 6, 7]. When it comes to facial appearance, such social inferences can be made after a very short exposure time and with high levels of interpersonal agreement [8, 9, 10, 11, 12] consequently affecting social outcomes [13, 14, 15, 16, 17]. One of the most studied face-inferred social traits is attractiveness.
\nThe common notion that “Beauty is not judged objectively, but according to the beholder’s estimation” dates back at least to the third century BC (Theocritus, The Idyll as cited in [18]). Even Darwin came to the same conclusion and argued that different cultures showed a diversity of preferences for attributes such as skin color, body hair, and body fat (Darwin as cited by [19]).
\nDespite cross-cultural and cross-gender differences in judgments of facial attractiveness, there is still a high level of agreement not only between individuals within a particular culture but also between individuals from different cultures or different genders [6, 20, 21]. In a comparison between judgments of 17 different social traits, as inferred from faces, facial attractiveness was found to have the highest interrater agreement and reliability level. The evidence for the existence of universal criteria for facial attractiveness raises two questions:
What is the functional role of facial attractiveness?
What are the facial diagnostic cues that constitute the criteria of attractiveness judgments?
As an answer to the first question, the evolutionary view suggests that attraction and repulsion to certain faces serve as an adaptive function [22]. Throughout evolutionary history, humans have developed preferences to specific phenotypical cues that lead them to choose mates who will provide the best chance of successful reproduction and survival of their own genes. The evolutionary approach has been based on the premise that an attractive face is a biological signal that provides valuable information about the quality of the signaler. Mate quality attributes may include characteristics such as health, fertility, intelligence, and potential for parental care. However, most research has focused on health ([23]; for review, see [24]).
\nTo answer the second question, many studies have used facial image manipulations to test observers’ responses. Some of these studies have suggested that there are several facial diagnostic cues that advertise the biological quality of an individual through the medium of the face. These phenotypical cues include: facial symmetry, averageness (i.e., faces that are not too far from the population mathematical mean of the geometric structure and texture) and sexual dimorphism (i.e., secondary sexual characteristics; see [25] for meta-analysis).
\nDespite a large body of research and findings, the question of what makes a face attractive is not easy to formalize. Among the reasons for that we can include the following nonexclusive list:
The complexity of the human face: the human face is a complex object and requires a high-dimensional data structure to represent and analyze it. Even if we want to represent information about a static non-expressive face, such data structure should include information about morphology (i.e., structure) and texture. Over recent decades, there has been a significant progress in the development of computational tools for the analysis and synthesis of faces [26, 27, 28].
The effect of the external physical environment: the viewing conditions may have a dramatic effect on the way we infer social traits from a face in general. Such physical conditions may include viewing distance, perspective, lighting conditions etc. It is not clear that the same facial determinants of social traits are identical under different viewing conditions.
Facial movements: the face is not a rigid object. A large set of groups of muscles (a.k.a. Action Units [29]) can and do change facial appearance. Many of these facial movements convey social signals such as emotional expressions. As a result, facial movements may affect the social inference from the face and even override the social impression of the default neutral and nonexpressive face. Facial movements add another level of complexity to the representation and analysis of faces; however, computational models for analysis and synthesis of facial movements are already in use [30].
Considering the above challenges, this chapter addresses the essence of facial beauty as a multifaceted question. To this end, we will approach the facial beauty signal as a part of a comprehensive communication system that comprises not only the signaling face as a transmitter but also the receiver (i.e., the observer) and the communication channel (i.e., of the external physical environment).
\nAll communications systems whether they are electronic, biological, or other comprise three fundamental elements:
The transmitter: the source that creates, modulates, and transmits the signals, for example a radio station.
The receiver: the agent that obtains the signal from the transmitter using a codebook. The codebook is an abstract list of rules that associates a meaning or reaction to specific messages.
The communication channel: the physical transmission medium or pathway that conveys the signals from the transmitter to the receiver; for example, a broadband fiber optic cable. A crucial point is that the communication channel modifies the transmitted signal. As a result, the signal received by the receiver is, in most cases, not identical to the original signal that was sent by the transmitter. Therefore, the physical properties of the channel determine the capability of the receiver to decode the transmitted signal [31]. In the case of social signaling from a face, the communication channel may have a large variety of characteristics: viewing distance, lighting conditions, the face or body’s spatial orientation, partial occlusion, etc. The communication channel thus imposes constraints on the available information, changing the receiver’s facial inference strategy. This means the question of what makes an attractive face is context dependent where a major factor that affects the attractiveness determinants is the communication channel.
The face is a central communication tool in human social interaction. It transmits a large range of signals that convey social information to which the receiver associates meaning about the transmitter. This meaning whether it is reliable or not may include: gender, age, ethnicity, health condition, mood, intention, and competence. Some social impression signals (e.g., those indicating social traits such as dominance, trustworthiness, and attractiveness) are transmitted involuntarily by the default phenotypic morphology and complexion of the face [6]. However, other signals, such as facial expressions of emotion, can be voluntarily deployed strategically to negotiate social situations. Humans, as highly adaptive social beings and in a similar way to other social animals, can camouflage these involuntary morphology-based signals to boost chances of success within their ecological niche. In practice, humans deploy social-camouflage strategies by using dynamic facial signals to camouflage the involuntary social signals transmitted by static facial morphology [5]. In the latter study, using a computer graphics platform and a data-driven technique, facial action units (AUs, i.e., independent facial groups of muscles; [29]) were correlated with the impression of attractiveness to create a dynamic model of facial expression that elicits the impression of attractiveness. \nFigure 1\n depicts the facial movements that elicit the strongest and weakest intensities of attractiveness and lists the significant AUs that were combined to produce them. The color-coded heat maps show the movement magnitude of the 3-D vertices that make up each dynamic social signal. Using a similar approach, Gill et al. obtained dynamic models of facial movements that modulate the perception of two additional fundamental social traits: trustworthiness and dominance [5]. The latter study also examined the camouflaging capabilities of the modeled dynamic social gestures (i.e., whether the facial movements that are formalized in the models could override the involuntary default social signals transmitted by static facial morphology of the transmitter). The results revealed that attractiveness was the most difficult of these traits to camouflage. Humans are thus condemned to bear the social consequences of the inherited attractiveness of their faces. By contrast, social camouflage of dominance and trustworthiness is probably commonplace in everyday interactions. Casting directors are probably aware of this inequality. An attractive character will require an actor with attractive morphology; however, social camouflage can help an actor fake a dominant or trustworthy character.
\nSocial camouflage. The two rows depict the signals of attractiveness with strong (+) and weak (−) intensities. The texture maps at the left illustrate the appearance of attractiveness on a common face. The color-coded heat maps indicate the location of dynamic face regions of the attractiveness signal; red indicates the highest magnitude of vertex movement. The column on the right lists the action units present in the majority of the observers’ individual models [
Diagnostic cues vary with distance. Left panel: a hybrid image consisting of the low spatial frequencies (LSFs) of a girl and the high spatial frequency (HSF) of a boy. From a short viewing distance, the image is perceived as the face of a boy. From a long viewing distance, the image is perceived as the face of a girl. Right panel: the LSF of the girl’s image (upper image) and the HSF of the boy’s image (lower image).
Social encounters may start at varying viewing distances. Based on the available information, individuals decide about their next action—whether to approach or avoid the other person. The face transmits a variety of social signals to receiving observers across a wide range of viewing distances acting as a communication channel. Evaluating the social and reproductive capacity of others is paramount to negotiating the type of social interaction between individuals and, ultimately, to promoting the survival of the human species. However, social encounters begin at varying viewing distances, which can dramatically change the visual information and level of detail that is available for social judgments.
\nWhen a face moves closer to the receiver, its projection on the observing receiver’s retina increases in size. As a result, the high spatial frequency information (HSF, representing fine details) projected initially on the retina progressively shifts toward lower spatial frequencies (LSFs, representing coarser scale and global information). Furthermore, new HSF details become progressively available on the retinal projection of the closer face for visual categorization in the receiver. When a face moves away from the receiver, it has the opposite effect: the retinal projection diminishes in size, the retina-based HSFs are no longer detected due to the finite resolution of the retina and the facial information initially represented in retina-based LSFs becomes retina-based HSFs. Combining different messages, transmitted by different spatial frequency bands, in one image is known as a
The critical impact of viewing distance, as a communication channel, raises the fundamental question of what specific facial signals communicate attractiveness and whether these signals change across viewing distance. Attractiveness diagnostic cues are found to covary with distance [33].
\n\n\nFigure 3\n illustrates how observers use different information from faces (both structure and texture) to assess attractiveness from proximal and distal signals. The diagnostic cues, both structural and textural, are color coded as follows: distal diagnostic cues are in red, proximal diagnostic cues are in green, and cues that are diagnostic in both distal and proximal distances are in yellow. Across all receiver-transmitter gender conditions (e.g., females observing males and females observing females) consistently, the hair has been found to be the prominent distal diagnostic cue. This is not surprising, considering the relatively large projection of the hair on the retina at long viewing distances compared to other facial attributes. Interestingly, among female transmitters, short or pulled-back hair is perceived as a distal signal of unattractiveness. The latter result suggests that masculine attributes in women (i.e., short hair) may distally signal characteristics associated with masculinity. Among male signals, trimmed hair is perceived as a distal signal of unattractiveness. In proximal viewing distance there are more available cues and the influence of the hair as a determinant cue decreases. Among both female and male transmitters, the eye region structure is found as a proximal diagnostic cue (though to different extent across receiver-transmitter’s gender conditions and social traits). Moreover, among male transmitters, the glabellar frown lines were found as a proximal cue.
\nAttractiveness predictions and diagnostic cues. The results are organized by sex of stimuli (columns) and based on judgment of opposite sex observers. For each sex of stimuli, the leftmost (distal—48 m) and rightmost (proximal—1.5 m) columns show the model predictions for the two polarities of trait denoted by + and − (attractive and unattractive correspondently). The middle column of each sex of stimuli category shows the diagnostic structural (i.e., shape of the facial features) and textural cues using color codes: green (exclusively distal cues), red (exclusively proximal cues), and yellow (both distal and proximal cues) [
Another interesting question is whether viewing distance induces a natural hierarchy across different social traits in which humans infer some of these traits at longer viewing distances with greater sensitivity than other traits. The communication channel induces a natural hierarchy of decoding success, with attractiveness being the trait inferred from the greatest viewing distances. When comparing four basic social traits (aggressiveness, attractiveness, dominance, and trustworthiness), attractiveness was found to be inferred from the longest viewing distance tested (96 m, [33]).
\nThe face is a communication tool that transmits a wide range of social signals. Inference of social traits from faces has evolved and diversified to serve, at least in part, as a rudimentary but instant communication tool to evaluate the benefits of cooperation or aversion during social interaction. Whether these signals are reliable or not, the facial signal decoding system in the receiver’s brain has to deal with the major challenge of organizing the high-dimensional input from the retina and mapping it into a stable representation of a social category. Among the signals of some basic social traits, the signal of attractiveness is found to be outstanding in terms of interobserver agreement, reliability, and robustness to a variety of manipulations induced by the sender and the communication channel. Not only does the transmitter send complex social signals, in addition the communication channel induces large variability on the received signals. The limitations of the information that is caused by the camouflaging communication channel may challenge the receiver. An example for a potential scenario is that what is attractive from afar may be far from attractive at a short viewing distance and vice versa. The visual system is thus required to have a detailed set of diagnostic tools that varies with the availability of information and channel conditions. Interestingly, in a comparison among several social traits, attractiveness was found to be decoded from the longest distance, longer even the decoding distance of aggression.
\nThe transmitter is not passive and by using specific facial movements they can camouflage the default neutral appearance of the face. Even if this is the case, the attractiveness of the face is found to be the most robust and hard to fake when compared with the other social traits that were studied [33].
\nFacial attractiveness is therefore a robust signal in social communication and the human brain seems to be adapted to detect it more effectively than any other social trait. There can be several possible reasons for the latter outcome. One possibility is that attractiveness signals provide more reliable information about the transmitter. For example, while attractiveness is a reliable signal of potential successful reproduction and survival of descendants, signals of trustworthiness may reflect actual levels of trustworthiness to a lesser extent (if at all). Another possibility is that with the limited computational and attentional capacities of the human brain, the higher sensitivity to attractiveness signals reflects the gain and loss priorities. Such risk management policy may give priority to approaching an attractive transmitter while ignoring hazard cues of aggression.
\nThe author would like to thank Philippe G. Schyns, Benedict C. Jones, Oliver G. B. Garrod, and Rachael E. Jack from the University of Glasgow for their collaboration in some of the studies presented here. Special thanks to Stella E. Bell for her helpful suggestions during the write up of this chapter.
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",metaTitle:"Conflicts of Interest Policy",metaDescription:"As an Open Access publisher, IntechOpen is dedicated to maintaining the highest ethical standards and principles in publishing. In addition, IntechOpen promotes the highest standards of integrity and ethical behavior in scientific research and peer-review.",metaKeywords:null,canonicalURL:"/page/conflicts-of-interest-policy",contentRaw:'[{"type":"htmlEditorComponent","content":"In each instance of a possible Conflict of Interest, IntechOpen aims to disclose the situation in as transparent a way as possible in order to allow readers to judge whether a particular potential Conflict of Interest has influenced the Work of any individual Author, Editor, or Reviewer. IntechOpen takes all possible Conflicts of Interest into account during the review process and ensures maximum transparency in implementing its policies.
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\\n"}]'},components:[{type:"htmlEditorComponent",content:"In each instance of a possible Conflict of Interest, IntechOpen aims to disclose the situation in as transparent a way as possible in order to allow readers to judge whether a particular potential Conflict of Interest has influenced the Work of any individual Author, Editor, or Reviewer. IntechOpen takes all possible Conflicts of Interest into account during the review process and ensures maximum transparency in implementing its policies.
\n\nA Conflict of Interest is a situation in which a person's professional judgment may be influenced by a range of factors, including financial gain, material interest, or some other personal or professional interest. For IntechOpen as a publisher, it is essential that all possible Conflicts of Interest are avoided. Each contributor, whether an Author, Editor, or Reviewer, who suspects they may have a Conflict of Interest, is obliged to declare that concern in order to make the publisher and the readership aware of any potential influence on the work being undertaken.
\n\nA Conflict of Interest can be identified at different phases of the publishing process.
\n\nIntechOpen requires:
\n\nCONFLICT OF INTEREST - AUTHOR
\n\nAll Authors are obliged to declare every existing or potential Conflict of Interest, including financial or personal factors, as well as any relationship which could influence their scientific work. Authors must declare Conflicts of Interest at the time of manuscript submission, although they may exceptionally do so at any point during manuscript review. For jointly prepared manuscripts, the corresponding Author is obliged to declare potential Conflicts of Interest of any other Authors who have contributed to the manuscript.
\n\nCONFLICT OF INTEREST – ACADEMIC EDITOR
\n\nEditors can also have Conflicts of Interest. Editors are expected to maintain the highest standards of conduct, which are outlined in our Best Practice Guidelines (templates for Best Practice Guidelines). Among other obligations, it is essential that Editors make transparent declarations of any possible Conflicts of Interest that they might have.
\n\nAvoidance Measures for Academic Editors of Conflicts of Interest:
\n\nFor manuscripts submitted by the Academic Editor (or a scientific advisor), an appropriate person will be appointed to handle and evaluate the manuscript. The appointed handling Editor's identity will not be disclosed to the Author in order to maintain impartiality and anonymity of the review.
\n\nIf a manuscript is submitted by an Author who is a member of an Academic Editor's family or is personally or professionally related to the Academic Editor in any way, either as a friend, colleague, student or mentor, the work will be handled by a different Academic Editor who is not in any way connected to the Author.
\n\nCONFLICT OF INTEREST - REVIEWER
\n\nAll Reviewers are required to declare possible Conflicts of Interest at the beginning of the evaluation process. If a Reviewer feels he or she might have any material, financial or any other conflict of interest with regards to the manuscript being reviewed, he or she is required to declare such concern and, if necessary, request exclusion from any further involvement in the evaluation process. A Reviewer's potential Conflicts of Interest are declared in the review report and presented to the Academic Editor, who then assesses whether or not the declared potential or actual Conflicts of Interest had, or could be perceived to have had, any significant impact on the review itself.
\n\nEXAMPLES OF CONFLICTS OF INTEREST:
\n\nFINANCIAL AND MATERIAL
\n\nNON-FINANCIAL
\n\nAuthors are required to declare all potentially relevant non-financial, financial and material Conflicts of Interest that may have had an influence on their scientific work.
\n\nAcademic Editors and Reviewers are required to declare any non-financial, financial and material Conflicts of Interest that could influence their fair and balanced evaluation of manuscripts. If such conflict exists with regards to a submitted manuscript, Academic Editors and Reviewers should exclude themselves from handling it.
\n\nAll Authors, Academic Editors, and Reviewers are required to declare all possible financial and material Conflicts of Interest in the last five years, although it is advisable to declare less recent Conflicts of Interest as well.
\n\nEXAMPLES:
\n\nAuthors should declare if they were or they still are Academic Editors of the publications in which they wish to publish their work.
\n\nAuthors should declare if they are board members of an organization that could benefit financially or materially from the publication of their work.
\n\nAcademic Editors should declare if they were coauthors or they have worked on the research project with the Author who has submitted a manuscript.
\n\nAcademic Editors should declare if the Author of a submitted manuscript is affiliated with the same department, faculty, institute, or company as they are.
\n\nPolicy last updated: 2016-06-09
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In 2010, he received a Ph.D. in Egyptology from the University of Basel, Switzerland.\nFrom 2012 to 2017, Dr. Pereira was a post-doctoral fellow at CHAM/FCSH – Universidade Nova de Lisboa.\nIn 2018, he became an Onassis Fellow, hosted by the Department of Mediterranean Studies, University of the Aegean, Greece. \nIn 2019, he became an auxiliary researcher at CHAM/FCSH – Universidade Nova de Lisboa. He teaches Middle Egyptian grammar, Hieratic, and disciplines regarding Egyptology, and the history of Phoenician and Greek expansion in the Mediterranean basin. \nIn 2021, he was awarded a CAARI Scholar in Residence Fellowship.",institutionString:"Universidade NOVA de Lisboa",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Universidade Nova de Lisboa",institutionURL:null,country:{name:"Portugal"}}},equalEditorTwo:null,equalEditorThree:null,productType:{id:"4",chapterContentType:"chapter",authoredCaption:"Authored by"}},{type:"book",id:"10342",title:"Ovarian Cancer",subtitle:"Updates in Tumour Biology and Therapeutics",isOpenForSubmission:!1,hash:"25a0adac7f6afa7bcd0b6daa3ef6b538",slug:"ovarian-cancer-updates-in-tumour-biology-and-therapeutics",bookSignature:"Gwo-Yaw Ho and Kate Webber",coverURL:"https://cdn.intechopen.com/books/images_new/10342.jpg",editedByType:"Edited by",editors:[{id:"297757",title:null,name:"Gwo-Yaw",middleName:null,surname:"Ho",slug:"gwo-yaw-ho",fullName:"Gwo-Yaw Ho"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10485",title:"Fibroids",subtitle:null,isOpenForSubmission:!1,hash:"64ad14b1aba83e47fb100fa63e21533e",slug:"fibroids",bookSignature:"Hassan Abduljabbar",coverURL:"https://cdn.intechopen.com/books/images_new/10485.jpg",editedByType:"Edited by",editors:[{id:"68175",title:"Prof.",name:"Hassan",middleName:"S",surname:"Abduljabbar",slug:"hassan-abduljabbar",fullName:"Hassan Abduljabbar"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"9785",title:"Endometriosis",subtitle:null,isOpenForSubmission:!1,hash:"f457ca61f29cf7e8bc191732c50bb0ce",slug:"endometriosis",bookSignature:"Courtney Marsh",coverURL:"https://cdn.intechopen.com/books/images_new/9785.jpg",editedByType:"Edited by",editors:[{id:"255491",title:"Dr.",name:"Courtney",middleName:null,surname:"Marsh",slug:"courtney-marsh",fullName:"Courtney Marsh"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"9507",title:"Family Planning and Reproductive Health",subtitle:null,isOpenForSubmission:!1,hash:"a51ae8a0488480238f4cbbbe425058f2",slug:"family-planning-and-reproductive-health",bookSignature:"Zouhair Amarin and Hassan Abduljabbar",coverURL:"https://cdn.intechopen.com/books/images_new/9507.jpg",editedByType:"Edited by",editors:[{id:"101551",title:"Prof.",name:"Zouhair",middleName:null,surname:"Amarin",slug:"zouhair-amarin",fullName:"Zouhair Amarin"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:65,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"30747",doi:"10.5772/27200",title:"Cervical Cancer in Sub Sahara Africa",slug:"cervical-cancer-in-sub-sahara-africa",totalDownloads:8031,totalCrossrefCites:23,totalDimensionsCites:35,abstract:null,book:{id:"951",slug:"topics-on-cervical-cancer-with-an-advocacy-for-prevention",title:"Topics on Cervical Cancer With an Advocacy for Prevention",fullTitle:"Topics on Cervical Cancer With an Advocacy for Prevention"},signatures:"Atara Ntekim",authors:[{id:"69178",title:"Dr.",name:"Atara",middleName:"I",surname:"Ntekim",slug:"atara-ntekim",fullName:"Atara Ntekim"}]},{id:"43348",doi:"10.5772/55562",title:"Molecular Mechanisms of Platinum Resistance in Ovarian Cancer",slug:"molecular-mechanisms-of-platinum-resistance-in-ovarian-cancer",totalDownloads:4203,totalCrossrefCites:18,totalDimensionsCites:27,abstract:null,book:{id:"3449",slug:"ovarian-cancer-a-clinical-and-translational-update",title:"Ovarian Cancer",fullTitle:"Ovarian Cancer - A Clinical and Translational Update"},signatures:"Gonzalo Tapia and Ivan Diaz-Padilla",authors:[{id:"157073",title:"Dr.",name:"Ivan",middleName:null,surname:"Diaz-Padilla",slug:"ivan-diaz-padilla",fullName:"Ivan Diaz-Padilla"},{id:"166871",title:"Dr.",name:"Gonzalo",middleName:null,surname:"Tapia Rico",slug:"gonzalo-tapia-rico",fullName:"Gonzalo Tapia Rico"}]},{id:"37219",doi:"10.5772/47914",title:"Determining Factors of Cesarean Delivery Trends in Developing Countries: Lessons from Point G National Hospital (Bamako - Mali)",slug:"determining-factors-of-cesarean-delivery-trends-in-developing-countries-lessons-from-point-g-nat",totalDownloads:3024,totalCrossrefCites:7,totalDimensionsCites:20,abstract:null,book:{id:"952",slug:"cesarean-delivery",title:"Cesarean Delivery",fullTitle:"Cesarean Delivery"},signatures:"I. Teguete, Y. Traore, A. Sissoko, M. Y. Djire, A. Thera, T. Dolo, N. Mounkoro, M. Traore and A. Dolo",authors:[{id:"87496",title:"Dr.",name:"Ibrahima",middleName:null,surname:"Teguete",slug:"ibrahima-teguete",fullName:"Ibrahima Teguete"}]},{id:"31273",doi:"10.5772/31669",title:"Aqueous Extract of Human Placenta",slug:"aqueous-extract-of-human-placenta-as-a-therapeutic-agent",totalDownloads:5560,totalCrossrefCites:5,totalDimensionsCites:19,abstract:null,book:{id:"702",slug:"recent-advances-in-research-on-the-human-placenta",title:"Recent Advances in Research on the Human Placenta",fullTitle:"Recent Advances in Research on the Human Placenta"},signatures:"Piyali Datta Chakraborty and Debasish Bhattacharyya",authors:[{id:"88185",title:"Prof.",name:"Debasish",middleName:null,surname:"Bhattacharyya",slug:"debasish-bhattacharyya",fullName:"Debasish Bhattacharyya"},{id:"127848",title:"Dr.",name:"Piyali Datta",middleName:null,surname:"Chakraborty",slug:"piyali-datta-chakraborty",fullName:"Piyali Datta Chakraborty"}]},{id:"27121",doi:"10.5772/27439",title:"Clinical Risk Factors for Preterm Birth",slug:"clinical-risk-factors-for-preterm-birth",totalDownloads:8732,totalCrossrefCites:9,totalDimensionsCites:19,abstract:null,book:{id:"776",slug:"preterm-birth-mother-and-child",title:"Preterm Birth",fullTitle:"Preterm Birth - Mother and Child"},signatures:"Ifeoma Offiah, Keelin O’Donoghue and Louise Kenny",authors:[{id:"68552",title:"Dr.",name:"Ifeoma",middleName:null,surname:"Offiah",slug:"ifeoma-offiah",fullName:"Ifeoma Offiah"},{id:"70166",title:"Prof.",name:"Louise",middleName:null,surname:"Kenny",slug:"louise-kenny",fullName:"Louise Kenny"},{id:"74717",title:"Dr.",name:"Keelin",middleName:null,surname:"O'Donoghue",slug:"keelin-o'donoghue",fullName:"Keelin O'Donoghue"}]}],mostDownloadedChaptersLast30Days:[{id:"58219",title:"Congenital Abdominal Anomalies",slug:"congenital-abdominal-anomalies",totalDownloads:1384,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Introduction: Abdominal anomalies that appear during intrauterine life are complex due to many organs that are affected. In cases, the ultrasound appearance is a cystic image with different content and the differential diagnosis is often difficult. Body—research methods: the organs affected by abdominal congenital anomalies involve the gastrointestinal tract (stomach, duodenum, small bowel or colon, and gall bladder), the kidney and urinary tract, the peritoneal cavity (ascites), suprarenal glands, and tumors of the reproductive system (especially the ovaries). In order to identify the affected structures, it is mandatory to know the normal aspect of the abdominal content at different gestational ages. The diagnosis may be very difficult, but its accuracy is important, considering the need of further counseling the couple. In minor conditions, without chromosomal anomalies or associations, the outcome is usually good, and there are even possibilities of in utero treatment. In severe conditions, with poor outcome, the couple can choose to terminate the pregnancy, after counseling is provided. Conclusion: abdominal congenital anomalies are common findings in ultrasound screenings for anomalies in all the trimesters of pregnancy and their recognition is important for subsequent management.",book:{id:"6307",slug:"congenital-anomalies-from-the-embryo-to-the-neonate",title:"Congenital Anomalies",fullTitle:"Congenital Anomalies - From the Embryo to the Neonate"},signatures:"Ples Liana and Anca Lesnic",authors:[{id:"212333",title:"Associate Prof.",name:"Liana",middleName:null,surname:"Ples",slug:"liana-ples",fullName:"Liana Ples"}]},{id:"64417",title:"Introductory Chapter: A Comprehensive Approach to the Process of Breastfeeding",slug:"introductory-chapter-a-comprehensive-approach-to-the-process-of-breastfeeding",totalDownloads:1270,totalCrossrefCites:0,totalDimensionsCites:0,abstract:null,book:{id:"6191",slug:"selected-topics-in-breastfeeding",title:"Selected Topics in Breastfeeding",fullTitle:"Selected Topics in Breastfeeding"},signatures:"René Mauricio Barría P",authors:[{id:"88861",title:"Dr.",name:"R. Mauricio",middleName:null,surname:"Barría",slug:"r.-mauricio-barria",fullName:"R. Mauricio Barría"}]},{id:"62854",title:"The Surgical Technique of Caesarean Section: What is Evidence Based?",slug:"the-surgical-technique-of-caesarean-section-what-is-evidence-based-",totalDownloads:2465,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Caesarean section is the most frequent obstetric operation which is associated with increased maternal morbidity and mortality. Although these risks are low, affected women may suffer from severe consequences and this may affect subsequent pregnancies and deliveries. A variety of surgical approaches have been described, however, on low evidence level. The objective of this chapter is therefore to systematically search the literature and analyse the available evidence including preoperative workup, prophylactic antibiotics, skin disinfection, preoperative bladder catheterization as well as details of the individual steps of the actual operation itself such as skin incision types, preparation of soft tissue and womb, removal of the placenta, cervical dilatation and stitching of the womb, peritoneum, rectus muscle, fascia, subcutaneous fat, and skin. We systematically searched for meta-analysis, systematic reviews, and big studies and evaluated the evidence for each individual step.",book:{id:"6707",slug:"caesarean-section",title:"Caesarean Section",fullTitle:"Caesarean Section"},signatures:"Jan-Simon Lanowski and Constantin S. von Kaisenberg",authors:[{id:"100660",title:"Prof.",name:"Constantin",middleName:"Sylvius",surname:"Von Kaisenberg",slug:"constantin-von-kaisenberg",fullName:"Constantin Von Kaisenberg"},{id:"240353",title:"Dr.",name:"Jan-Simon",middleName:null,surname:"Lanowski",slug:"jan-simon-lanowski",fullName:"Jan-Simon Lanowski"}]},{id:"18348",title:"Anaesthetic Considerations during Laparoscopic Surgery",slug:"anaesthetic-considerations-during-laparoscopic-surgery",totalDownloads:28897,totalCrossrefCites:1,totalDimensionsCites:5,abstract:null,book:{id:"916",slug:"advanced-gynecologic-endoscopy",title:"Advanced Gynecologic Endoscopy",fullTitle:"Advanced Gynecologic Endoscopy"},signatures:"Maria F. Martín-Cancho, Diego Celdrán, Juan R. Lima, Maria S. Carrasco-Jimenez, Francisco M. Sánchez-Margallo and Jesús Usón-Gargallo",authors:[{id:"14715",title:"Prof.",name:"Francisco M.",middleName:null,surname:"Sánchez-Margallo",slug:"francisco-m.-sanchez-margallo",fullName:"Francisco M. Sánchez-Margallo"},{id:"29449",title:"Dr.",name:"Maria Fernanda",middleName:null,surname:"Martín-Cancho",slug:"maria-fernanda-martin-cancho",fullName:"Maria Fernanda Martín-Cancho"},{id:"39772",title:"Dr.",name:"Juan R.",middleName:null,surname:"Lima",slug:"juan-r.-lima",fullName:"Juan R. Lima"},{id:"39773",title:"Mr.",name:"Diego",middleName:null,surname:"Celdran",slug:"diego-celdran",fullName:"Diego Celdran"},{id:"39774",title:"Prof.",name:"Jesus",middleName:null,surname:"Usón-Gargallo",slug:"jesus-uson-gargallo",fullName:"Jesus Usón-Gargallo"},{id:"62320",title:"Prof.",name:"Maria Sol",middleName:null,surname:"Carrasco-Jiménez",slug:"maria-sol-carrasco-jimenez",fullName:"Maria Sol Carrasco-Jiménez"}]},{id:"41721",title:"Artificial Insemination in Poultry",slug:"artificial-insemination-in-poultry",totalDownloads:9542,totalCrossrefCites:5,totalDimensionsCites:14,abstract:null,book:{id:"3206",slug:"success-in-artificial-insemination-quality-of-semen-and-diagnostics-employed",title:"Success in Artificial Insemination",fullTitle:"Success in Artificial Insemination - Quality of Semen and Diagnostics Employed"},signatures:"M.R. Bakst and J.S. Dymond",authors:[{id:"155683",title:"Dr.",name:"Murray R.",middleName:null,surname:"Bakst",slug:"murray-r.-bakst",fullName:"Murray R. Bakst"},{id:"167852",title:"Dr.",name:"Jessica",middleName:null,surname:"Dymond",slug:"jessica-dymond",fullName:"Jessica Dymond"}]}],onlineFirstChaptersFilter:{topicId:"189",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"80860",title:"From Open to Minimally Invasive: The Sacrocolpopexy",slug:"from-open-to-minimally-invasive-the-sacrocolpopexy",totalDownloads:35,totalDimensionsCites:0,doi:"10.5772/intechopen.101308",abstract:"With an increased demand for pelvic organ prolapse surgeries as the population ages, mesh-related osteomyelitis will become more prevalent. This case series enriches the paucity of data on management options for delayed osteomyelitis related to pelvic organ prolapse mesh. A literature review revealed no case reports of delayed onset osteomyelitis presenting up to a decade after colpopexy mesh placement. We present three cases of delayed osteomyelitis, their presentation, diagnosis and management at a tertiary academic referral center. Patients presented between 1 and 10 years after mesh colpopexy. Three different mesh materials were utilized during the initial procedures: Restorelle Y, Gynamesh and Gore-Tex mesh. The first case demonstrates failed expectant management with eventual surgical intervention on a medically compromised patient. The two subsequent cases describe elective complete mesh resection after several prior failed mesh revision attempts. This short case series and literature review illustrates that mesh-related osteomyelitis after a remote sacrocolpopexy carries significant morbidity. Mesh removal by means of minimally invasive surgery in the hands of an experienced surgical team utilizing DaVinci Robotic System is a good option and may lead to best patient outcomes.",book:{id:"11040",title:"Hysterectomy - Past, Present and Future",coverURL:"https://cdn.intechopen.com/books/images_new/11040.jpg"},signatures:"Adriana Fulginiti, Frank Borao, Martin Michalewski and Robert A. Graebe"},{id:"80782",title:"Cases of Postpartum Hemorrhage and Hysterectomy in Thailand’s Northern and Northeastern Provincial Hospitals",slug:"cases-of-postpartum-hemorrhage-and-hysterectomy-in-thailand-s-northern-and-northeastern-provincial-h",totalDownloads:34,totalDimensionsCites:0,doi:"10.5772/intechopen.102948",abstract:"PPH is a major cause of maternal death. Hysterectomy is safe to treat uncontrollable PPH. However, it may not be the best option for women who want to have children. The risk score tool to detect PPH earlier is needed in low-resource cities such as Chiang Rai and Sakon Nakhon province. This study aims to perform a risk score tool to prevent PPH in the northern and northeastern hospitals in Thailand; using mixed methods, identify risk factors for PPH from 20 articles globally and in Thailand using Med Calc, and develop the tool for prediction of PPH; and tool testing and a one-year follow-up on PPH-related hysterectomy cases. Results showed that this risk score tool can detect PPH earlier, reducing the number of PPH and hysterectomy cases. This risk score tool needs to be implemented in the same situations as hospitals to save pregnant women’s lives.",book:{id:"11040",title:"Hysterectomy - Past, Present and Future",coverURL:"https://cdn.intechopen.com/books/images_new/11040.jpg"},signatures:"Thawalsak Ratanasiri, Natakorn I. 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Vaginal hysterectomy goes back a long way into the history of medicine. Although the first hysterectomy was carried out by Themison of Athens in the year 20 B.C., the idea of extracting the uterus through the vagina was first mentioned in 120 B.C. by Soranus of Ephesos, a distinguished obstetrician. The first elective vaginal hysterectomy was performed by J. Conrad Langenbeck in 1813. The patient was a 50-year-old multipara, who suffered from chronic pelvic pain attributed to a prolapsed uterus with a hard, bleeding tumor. The operation was carried out in challenging conditions, without anesthesia, proper instruments, or surgical assistants. Until the early 1950s, vaginal hysterectomy was the method of choice for removing the uterus. With the widespread introduction of general anesthesia and antibiotic therapy, the site of vaginal hysterectomy was taken over by abdominal hysterectomy. With the introduction of minimally invasive surgery in gynecology, vaginal hysterectomy has regained its place. Harry Reich performed the first total laparoscopic hysterectomy in 1989, being one of the most renowned vaginal surgeons, and he still claims at the beginning of the 21st century that … when the first choice of approach for hysterectomy is possible, is the vaginal route. This chapter presents the relevant anatomy from the point of view of the vaginal surgeon and the standard technique used by the author in over 5,000 vaginal hysterectomies. All intraoperative drawings and photographs are original.",book:{id:"11040",title:"Hysterectomy - Past, Present and Future",coverURL:"https://cdn.intechopen.com/books/images_new/11040.jpg"},signatures:"Petre Bratila"},{id:"80400",title:"Laparoscopic Hysterectomy in Morbidly Obese Patients",slug:"laparoscopic-hysterectomy-in-morbidly-obese-patients",totalDownloads:35,totalDimensionsCites:0,doi:"10.5772/intechopen.101307",abstract:"The following chapter will focus on laparoscopic hysterectomy in morbidly obese patients. The discussion reviews the physiological changes associated with morbid obesity and the potential implications on pneumoperitoneum during laparoscopic surgery. Important considerations such as perioperative care and operating room setup are discussed. Additionally, obtaining abdominal access, reviewing the surgical approach, and post-operative considerations are all highlighted within this chapter.",book:{id:"11040",title:"Hysterectomy - Past, Present and Future",coverURL:"https://cdn.intechopen.com/books/images_new/11040.jpg"},signatures:"Merima Ruhotina, Annemieke Wilcox, Shabnam Kashani and Masoud Azodi"},{id:"80238",title:"Surgical Site Infection after Hysterectomy",slug:"surgical-site-infection-after-hysterectomy",totalDownloads:59,totalDimensionsCites:0,doi:"10.5772/intechopen.101492",abstract:"Surgical site infections (SSIs) are associated with increased morbidity, mortality, and healthcare costs. SSIs are defined as an infection that occurs after surgery in the part of the body where the surgery took place. Approximately 1–4% of hysterectomies are complicated by SSIs, with higher rates reported for abdominal hysterectomy. Over the past decade, there has been an increasing number of minimally invasive hysterectomies, in conjunction with a decrease in abdominal hysterectomies. The reasons behind this trend are multifactorial but are mainly rooted in the well-documented advantages of minimally invasive surgery. Multiple studies have demonstrated a marked decrease in morbidity and mortality with minimally invasive surgeries. Specifically, evidence supports lower rates of SSIs after laparoscopic hysterectomy when compared to abdominal hysterectomy. In fact, the American College of Obstetricians and Gynecologist recommends minimally invasive approaches to hysterectomy whenever feasible. This chapter will review the current literature on surgical site infection (SSI) after hysterectomy for benign indications.",book:{id:"11040",title:"Hysterectomy - Past, Present and Future",coverURL:"https://cdn.intechopen.com/books/images_new/11040.jpg"},signatures:"Catherine W. Chan and Michael L. 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At the Ministry of Justice of Slovenia, she is a member of examination boards for court expert candidates and judicial appraisers in the following areas: economy/finance, valuation of companies, banking, and forensic investigation of economic operations/accounting. 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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. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. 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. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"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. Anderson",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Calgary",country:{name:"Canada"}}}]}},subseries:{item:{id:"40",type:"subseries",title:"Ecosystems and Biodiversity",keywords:"Ecosystems, Biodiversity, Fauna, Taxonomy, Invasive species, Destruction of habitats, Overexploitation of natural resources, Pollution, Global warming, Conservation of natural spaces, Bioremediation",scope:"