Mechanical properties of materials
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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:"3311",leadTitle:null,fullTitle:"Current Perspectives in HIV Infection",title:"Current Perspectives in HIV Infection",subtitle:null,reviewType:"peer-reviewed",abstract:"This book gives a comprehensive overview of HIV and AIDS including NeuroAIDS, as well as general concepts of pathology, immunity and immunopathology, diagnosis, treatment, epidemiology and etiology to current clinical recommendations in management of HIV/AIDS including NeuroAIDS, highlighting the ongoing issues, recent advances and future directions in diagnostic approaches and therapeutic strategies.",isbn:null,printIsbn:"978-953-51-1057-6",pdfIsbn:"978-953-51-7122-5",doi:"10.5772/46042",price:139,priceEur:155,priceUsd:179,slug:"current-perspectives-in-hiv-infection",numberOfPages:482,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"1bcacf84d50370cac414fea1616244c6",bookSignature:"Shailendra K. 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Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. 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\r\n\tImage segmentation is a primary and fundamental step in digital image processing. In short, it is the identification and separation of an image into parts (segments) of interest to solve a particular problem.
\r\n\r\n\tThere are several approaches, methods, and techniques for image segmentation, each with its characteristics, advantages, and disadvantages regarding the type of image and the expected result. They range from traditional and basic approaches to advanced and recently developed ones, from quasi-manual techniques and methods to fully automated ones.
\r\n\r\n\tThis book seeks to present recent work in the area of digital image processing, with a focus on the segmentation step.
\r\n\tThe hope is that this book will include three main topics: threshold-based segmentation, clustering-based segmentation, and artificial neural networks based segmentation. But it is not limited to these topics in any specific way. This is a purely organizational division, seeking to present papers that describe the segmentation process through traditional, intermediate, and advanced approaches.
Like sharp-notch fatigue, fretting fatigue strength is mostly determined by whether small cracks propagate, which originate at the local high stress area. Hence, applying fracture mechanics is expected to be effective in evaluating fretting strength (Asai, 2010; Attia, 2005; Edward, 1984; Kondo et al., 2004; Makino et al., 2000; Nicholas et al., 2003). In these methods, the fretting fatigue limit is predicted by evaluating whether the stress intensity factor range Δ
The following two major difficulties need to be addressed when quantitatively applying the micro-crack propagation model.
Small crack and mean stress effects on Δ
Mixed modes of tensile and shear Δ
Regarding the small crack effects on Δ
The empirical rule proposed by Murakami (Murakami & Endo, 1986) is also well known, where Δ
Schematic of small-crack propagation model at fretting fatigue
Schematic view of fretting crack propagation
Mixed modes of tensile and shear Δ
Schematic view of fretting fatigue tests
In this study, fretting fatigue tests under different contact conditions; plane-contact (PC) and line-contact (LC), shown in Fig. 3, were carried out using two 12% Cr steel samples with different static strengths and the effects of the material strength and mean stress were investigated. Fretting fatigue strength was evaluated quantitatively by applying the micro-crack propagation model under various test conditions while considering the above-mentioned difficulties. The practical effectiveness is discussed in applying the maximum tangential stress theory in stage I by obtaining non-propagating crack lengths of run-out specimens and Δ
The test materials were two 12% Cr steel samples (A and B) that had different static strengths, as shown in Table 1. Tensile and 0.2% yield strengths of sample B were approximately 40% higher than those of sample A. Figure 4 shows the shapes of the test specimens and a contact pad. Two kinds of tests were undertaken using rectangular-cross-section specimens (5 mm × 5 mm) for PC conditions and circular-cross-section specimens (8 mm in diameter) for LC conditions. Sample A was used for the contact pad. Heat treatments were applied to the specimens at 600°C× 4 h to relieve the residual stress caused by machining.
After first applying an axial mean load, the contact force was applied using cramping bolts, and axial alternative loads were then applied. The contact force was measured and adjusted by the cylindrical load cell with an uncertainty of 5% to the target value during the tests.Contact pressure was 80 MPa for PC conditions, and LC loads were 60, 150, 300, and 450 N/mm, which respectively corresponded to 584, 923, 1306, and 1569 MPa of the average elastic contact pressure calculated from Hertz’s formula. Mean stresses were0 and 400 MPa for all test cases and –100 MPa for PC conditions of sample A. Tests were carried out using an electro-magnetic-resonance machine in air at ambient temperature. The frequencies were about 125 Hz for LC and about 110 Hz for PC, which were determined by the stiffness of the specimens and the machine.
Mechanical properties of materials
Shapes of specimens and test apparatus: (a) specimen for LC tests, (b) specimen for PC tests, (c) contact pad, and (d) test apparatus
Plain fatigue tests were also carried out without contact pads using run-out fretting specimens at 2×107 cycles, and the size of fretting non-propagating cracks, which were the cause of plain fatigue fracture in most cases, were investigated. In addition to thecrack length,the plain fatigue tests were aimed at obtaining Δ
Figure 5 shows the stress amplitude
S-N diagram of fretting tests: (a) PC, (b) LC for sample A, and (c) LC for sample B
Figure 7 shows an observed contact surface near the contact edge under LC conditions at 150N/mm-pressure. The crack edge was located about 0.12 mm inside the contact edge. The width of the wear region was about 0.5 mm, greater than the elastic contact width calculated from Hertz’s formula (about 0.16 mm). This was caused by plastic deformation at the contact edge under high local pressure.
Effect of contact pressure on fretting fatigue strength at mean stress, (a) 0 MPa, and (b) 400 MPa. (Open: not broken; closed: broken in less than 2×107cycles
Side view around contact edge of failure specimen. (Sample A: LC, 150 N/mm,
Figure 8(a) shows an example of a non-propagating crack at the fracture surface. Its depth
The value of
The value of
Higher mean stress leads to smaller
Under LC, the relations of
a) Example of non-propagating crack and (b) aspect ratio of non-propagating cracks
Non-propagating crack depth obtained from fretting fatigue tests: (a) PC, (b) LC (sample A), and (c) LC (sample B)
Figure 10 shows profile paths of crack propagation from the initial crack measured using a laser-microscope, where the stress amplitude is shown in parentheses for each case. The angle of crack inclination against the normal direction was about 50-70° in stage I and about 20° at the mixed mode region in stage II, as also shown in Fig. 10.
Non-propagating cracks under PC conditions were almost all located in stage II except one case (sample B at 400 MPa-mean stress) when no profile data were obtained because the run-out specimen was not fractured from the fretting pre-crack. On the other hand, under LC conditions, all non-propagating cracks were located near the boundary between stages I and II. The boundary crack depth between stages I and II,
The values of
The values of
400 MPa-mean stress led to lower
When mean stress was –100 MPa in the PC condition,
Non-propagating and propagating crack profiles obtained from fretting fatigue tests: (a) PC (sample A), (b) LC (sample A), (c) PC (sample B), (d) LC (sample B), and (e) schematic view of fretting crack
These results regarding
The relationship between crack depth and the stress intensity factor was calculated by carrying out three-dimensional elastic Finite Element (FE) analysis. Figure 11 shows the analysis models under PC and LC conditions where an inclined elliptical surface crack was introduced. The aspect ratio (the ratio of crack depth to surface length) was 0.15 determined from the results shown in Fig. 8(b). The crack depths were 0.03, 0.06, 0.1, and 0.2 mm (
The stress intensity factor ranges Δ
Alternating axial loads over one cycle were appliedafter applying the mean axial load and the contact force. The stress intensity factor range Δ
Elasto-plastic analysis was also done under LC conditions to investigate the effects of local plastic deformation using the non-crack model whose minimum mesh size was 10 μm at the contact edge. Cyclic stress–strain test data were used in the calculationto consider the cyclic softening effects of test materials, where the cyclic 0.2% yield strengths were about 82% of the static ones for both samples A and B. The alternating force was applied after applying the mean stress and contact pressure in three cycles to obtain the convergence stress distribution.
FE analysis model with crack of (a) PC and (b) LC (1/8 symmetry)
Figure 12 shows the variation of Δ
Calculated stress intensity factors for oblique cracks as function of β: (a) Δ
Next, Figs. 13(a) and (b) show the relationships between
Relationship between
Axial stress distribution from the surface with non-crack model calculated by (a) elastic and (b) elasto-plastic analyses (LC,
The stress distributions calculated using elastic and elasto-plastic analyses are compared in Fig. 14 for non-crack models under LC conditions for sample A when
Comparison of (a) Δ
Figure 16(a) shows a schematic view of the material strength’s effect on Δ
Schematics of small-crack propagation model under PC condition on effects of (a) material strength, and (b) mean stress.
Effects of LC pressure on (a) Δ
Figure 16(b) schematically shows the effect of mean stress under PC. Because higher mean stress results in smaller Δ
The fretting fatigue strength minimizes at a certain contact pressure under LC conditions, at 150 N/mm for sample A, as shown in Fig. 6. The relations of
Figure 18 shows Δ
Threshold values for small cracks are modelled as Eq. (4) using Δ
The value of Δ
The value of Δ
Micro-crack propagation behavior using the experimental and analytical results under various contact pressures and mean stresses is discussed. Figure 20 shows the evaluation results of fretting fatigue crack propagation under PC conditions when mean stresses are 0, 400, and –100 MPa for sample A and 0, and 400 MPa for sample B. In this figure,
The results are shown in Fig. 21 under LC conditions for sample A evaluated usingthe micro-crack propagation model when mean stress was 0 and 400MPa and
Finally, the length of non-propagating cracks is quantitatively discussed. The ratios of Δ
Evaluation results on Δ
Evaluation results on Δ
Stress intensity factor ratios of Δ
Fretting fatigue tests were undertaken in LC conditions as well as PC conditions using 12% Cr steel samples with parameters of mean stress, contact pressure, and material strength. Thestrengths were evaluated quantitatively by applying the micro-crack propagation model under various test conditions considering small crack and mean stress effects on Δ
Test results concerning the fretting fatigue strength could be successfully explained using the micro-crack propagation model by applying the maximum tangential stress theory in both stages I and II under PC conditions at different mean stresses for samples A and B. Under LC conditions, where high contact pressure arises, it was found that elasto-plastic analysis is necessary for calculating Δ
Cracks were confirmed to propagate in stage II at the angle where the maximum stress intensity factor range
Under PC at 80-MPa pressure, sample B (the static strength of which was about 40% higher than that of sample A) exhibited 10-25% higher fretting-fatigue strength than sample A. Under LC conditions, the fretting fatigue strength decreased as contact pressure increased and minimized when Hertz\'s average contact pressure was about 1.5 times 0.2% proof stress. This behavior is explainedas two conflicting effects; the increase in ΔK accelerates crack propagation and negative large Kmean delays its propagation as the contact pressure increases.
Crack propagation data in stage I, such as inclined angles and the boundary depth from stages I to II, were obtained under various test conditions, which is expected to be clarified quantitatively by analyzing mixed mode effects.
Preservation of mental health and extension of professional longevity of combatants are the most urgent task of departmental psychiatry, as they are the most important element of public health, largely determining the economic and social well-being of the nation.
\nWhen considering the mental health of combatants in the context of the characteristics of the psychosocial environment and the dynamics of personal characteristics in the process of stress service, many authors note the presence of situational and dynamic subclinical changes that do not lead to social maladaptation in the usual conditions (in the circle of colleagues) [16], but significantly worsen the family sphere of functioning and contribute to a decrease in the quality of life.
\nIssues of psychological prevention of the formation of borderline mental disorders (BMD) and destructive and addictive behavior of combatants come to the fore in their social and psychological significance: suicidal and antisocial actions, use of drugs, and alcohol abuse [5].
\nThe structure of mental disorders in combatants in recent decades is characterized by a predominance of acute psychogenic pathological disorders with a significant reduction in the number of reactive psychosis. Over time, the structure of the social and medical consequences of wars for persons involved in extreme situation (ES) begins to prevail in the BMD, which lead not only to a decrease in the quality of life but also premature disability [6].
\nCombatants’ BMD are characterized by a wide range of mental illnesses from mild affective disorders and post-traumatic stress disorder (PTSD) to severe personality disorders.
\nThe Russian army began fighting in the North Caucasus region (NCR) against the separatists on December 11, 1994—it was the most massive and brutal war in the history of modern Russia. On August 31, 1996, the fight ended with the signing of the Khasavyurt agreement. However, the end of the conflict did not bring peace and tranquility. Kidnappings and murders of people, terrorist attacks on the territory of Russia led to the second stage of the military confrontation with the need to involve professional employees—members of law enforcement agencies. Fighting clashes took place in the territory of some republics—Chechnya, Ingushetia, Dagestan, and Kabardino-Balkaria. According to the general staff of the armed forces of the Russian Federation, during the period of hostilities in 1994–2009, the irretrievable losses of the Russian security agencies in the North Caucasus amounted to killed and dead of more than 8500, prisoners and missing of 510, and wounded of more than 70,000 people.
\nThe dynamics of personal changes in combatants indicates the deterioration of their mental health; there are emotional and behavioral stress, hyperactivity, a tendency to aggressive reactions, signs of social maladaptation, psychasthenic features, introversion, and emotional coldness, which contribute to the change of social functioning and social disintegration in the absence of clinically expressed psychopathology [14]. Therefore, it is necessary to detect these violations early and carry out medical and rehabilitation measures with subsequent monitoring of mental health of the participants of the fight.
\nAmong the clinical forms of BMD, to identify the combatants, the most common are an organic disorder with personality disorders, affective disorders and organic mental syndrome (F06, F07 according to
Combatants’ BMD are significantly different from civilian neuroses on the specifics of the formation of the clinical symptoms and clinical manifestations; it is consistent with the formation of neurosis on the background of acquired and eventually increasing “accentuation of combatant” [17]. Earlier, the sudden onset of psychopathological symptoms was described against the background of external well-being, in acute conflict situations, often reflecting the internal feelings of a combatant [6].
\nFrom the point of view of S. Sukiasyan [14], BMD formed under the influence of combat mental trauma have similarities with neuroses in civilians. He distinguishes the following differences due to the etiopathogenesis of the disease and its dynamics: (a) the cause of the disease is characterized by an extreme occurrence, (b) the disorder occurs simultaneously from a large number of people, and (c) stress experienced by a person that is considered senseless leads to feelings of guilt for what happened with another person (death, injury, etc.).
\nAccording to M. Aksenov et al. [2], psychogenic neurotic states in persons of dangerous professions are presented by structured and relatively stable borderline disorders in their “classical” forms of manifestation (hysterical, dissociative, depressive, obsessive, anxiety-phobic, asthenic patterns, “neurosis of exhaustion”).
\nA distinctive feature of combatants’ BMD is the presence of an alcohol component, which is an integral part of the structure of mental disorders and before the formation of symptoms of dependence. In comorbid alcohol and drug disorders, there is no stage of formation of dependencies, in the structure of violations prevailing mainly psychopathic component. Drug dependence is more common among combatants who have had occasional drug use during fighting, who have not had sufficient socialization in peaceful life, and who had clinical signs of PTSD with a lack of timely treatment.
\nA special role among all combatants’ BMD is given to PTSD. Psychotraumatic events of combat nature can lead to the formation of chronic forms of PTSD, often occurring exclusively at the subclinical level, while disrupting the social functioning and quality of life in the participants of the fight. The following clinical variants of anxiety, explosive, dysphoric, depressive, somatoform, and conversion are described [4].
\nDescriptions of the clinical picture of PTSD include polymorphic asthenic, obsessive-phobic, and anxiety-depressive symptoms. According to J.Alexander [1], rare fully phenomenologically defined clinical variants of PTSD, there is a tendency to combination with the socio-stress disorders.
\nManifestations of post-traumatic stress disorder are often protracted, forming an average of 2–6 months after exposure to a traumatic situation. Personality disorders caused by battle mental trauma continue to be one of the most difficult areas of military psychiatry, both in clinical and diagnostic and in medical and expert aspects. Shortcomings in diagnostic approaches in the early stages lead to the identification of diseases at the stage of “deep implantation” of psychopathological symptoms in the personality, which later becomes the cause of the formation of pronounced personality disorders with subsequent disability of combatants.
\nIgnoring the symptoms of borderline mental disorders or their late detection, a formal approach by specialists in their diagnosis leads to the formation of chronic neurotic disorders, which significantly reduces the quality of life of combatants, increases the risk of manifestations of various forms of deviant behavior (antisocial, suicidal, addictive) [10].
\nTo explore the mental health of combatants involved in fighting in the North Caucasus, a continuous survey of 1537 men—employees of power structures of Russia returned from the trip after the execution of service and combat tasks in the special conditions as a member of integrated fighting units in the period 2006–2009—was carried out. Among all surveyed on the level of mental health identified after participating in the hostilities, believable: (a) Seven hundred twenty-five persons (45.7%)—healthy combatants, whom the therapy was not required, and rehabilitation assistance was not provided. (b) Four hundred ninety-seven people (31.3%)—persons who for 6 years prior to the survey according to the data of the outpatient cards were identified with short-term affective behavioral responses (TABR); during this survey of clinical data on the presence of formed BMD in this group which was not revealed, they were provided with psychocorrectional assistance by psychologists at the place of service. (c) Three hundred fifteen people (19.8%)—they were identified with adaptation disorders (RA) and PTSD; in this regard therapy and medical and psychological rehabilitation were carried out.
\nThree hundred eleven combatants were identified as having different TABR, which were recorded in the outpatient records of combatants by psychiatrists or neurologists during the 6-year period preceding our study (Group 1). These states occurred in the form of short-term emotional-maladaptive states and behavioral disorders and belonged to the pre-painful level (305 people). In Group 2 clinically formed BMD were revealed: AD was observed in 166 people (54.4%), among them are short-term depressive reaction (F 43.20)—35 (21.1%), prolonged depressive reaction (F 43.21)—31 (18.6%), mixed anxiety and depressive reaction (F 43.22)—35 (21.1%), violations of other emotions (F 43.23)—21 (12.6%), with prevalence of behavior disorders (F 43.24)—34 (20.5%), and mixed disorder of emotions and behavior (F 43.25)—10 (6.1%). Clinically designed PTSD was diagnosed in 139 people (45.6%) including anxiety type—36 (25.9%), explosive—33 (23.9%), somatoform—38 (27.6%), and conversion—31 (22.6%).
\nOur data confirm the studies of many authors who note the high prevalence of BMD among combatants around the world (especially in recent decades), which is associated with the extreme nature of service and participation in the settlement of ethnic conflicts [12, 17].
\nThe combatants from the AD had emotional disorders in the form of anxiety and depression, periodically arising dysphoria of different severities depending on the clinical variant of the AD. All combatants registered a violation of interpersonal communication with a pronounced irritability, hot temper, and distrust of others.
\nDreams of combat content in all combatants with PTSD presented painful scenes with a sense of threat to life (“could not defend”; “shot, but the bullets flew by”; “the corpses of the dead came to life”); dreams were accompanied by fear and vegetative symptoms (heartbeat, sweating). Depression, oppressive tension that is not a characteristic of earlier, increased sensitivity to everyday stimuli (loud sounds, the smell of gunpowder, gasoline), alertness, suspicion, and “over vigilance” were noted. There was a fear of open spaces with a sense of threat from the outside (squares, markets, and lawns were associated with “stretch marks,” fear of undermining, unfinished buildings with the threat of sniper fire, death, pits on construction sites with “graves,” and mass death of people).
\nClinical manifestations of PTSD differed depending on the course of the disease. In combatants with an alarming type of PTSD, the structure of the disease was dominated by the symptoms of the neurotic circle: unmotivated anxiety, frequent mood changes, sleep disorders (difficulty in falling asleep, early awakenings, lack of a sense of rest after a night’s sleep), lethargy, weakness, and “heaviness in the head.”
\nIn persons with an explosive type of PTSD, pronounced irritability and discontent were observed. They were characterized by resentment, vindictiveness, hostility to others, a tendency to solve everyday problems with the help of physical force, alertness, suspicion, vulnerability, and negativity. On the background of the overall tension, reducing the adaptive capacity of the neurotic tendency to impulsive reactions traced the difficulty in volitional control of negative emotions in everyday life; various forms of maladaptive behavior, such as excessive alcohol consumption and episodic use of psychoactive substances (PAS), were observed.
\nThe structure of somatoform-type PTSD was dominated by pain in the region of the heart, in the course of the gastrointestinal tract. There was a pronounced hypochondriac fixation on these symptoms and an alarming expectation of their amplification, which forced patients to contact general practitioners, at the same time, periodically stated functional cardio-pathologies, dizziness, neuralgia, sleep disorders, headaches, nausea, vomiting, urological manifestations, and sexual dysfunction.
\nIn combatants with a conversion type of PTSD in the clinic, the symptoms of increasing excitement with a lack of criticality to the disease prevailed, acute demonstrative reactions to external stimuli associated with the main traumatic factor, unmotivated initiative, increased chatter, inflated self-esteem, and the search for “perpetrators of the tragedy” with the desire for revenge. There were episodes of affective narrowing of consciousness with bouts of rage, physical aggression, and lack of guilt.
\nAnalysis of clinical symptoms in TABR and BMD combatants showed that PTSD symptoms, such as reliving traumatic events and nightmares, were observed in both groups of combatants but were significantly more frequent in Group 2. “Flashback” symptoms with pronounced psychosomatic manifestations in the form of tachycardia, sweating, and increased blood pressure with repeated trauma are recorded in both groups but most often in combatants with BMD. Hallucinations when falling asleep were only observed in individuals of Group 2. Dissociative manifestations to trigger the incentives in the structure of symptom re-experiencing the traumatic event are significantly more prevalent in individuals with the TABR in history.
\nPhobic reactions to trigger stimuli were found in groups with approximately the same frequency. Avoidance of thoughts, feelings, and people (everything that reminded about the injury) was revealed in both groups of respondents, but the frequency is significantly higher in persons with BMD (Table 1).
\nSymptoms | \nTABR | \nBMD | \nР | \n|||
---|---|---|---|---|---|---|
n = 311 | \n% | \nn = 305 | \n% | \n|||
At the moment of threat | \nAmnesia | \n0 | \n0 | \n1 | \n0,3 | \n0.345 | \n
Fear | \n0 | \n0 | \n1 | \n0.3 | \n0.456 | \n|
Disorganization of behavior | \n5 | \n1.6 | \n6 | \n1.9 | \n0.367 | \n|
Narrowing of consciousness | \n0 | \n0 | \n6 | \n1.9 | \n0.458 | \n|
Repeated experiences | \n“Flashback” symptoms | \n79 | \n25.4 | \n195 | \n63,9 | \n<0.001 | \n
Nightmares | \n58 | \n18.6 | \n136 | \n44,6 | \n<0.001 | \n|
Hallucinations when falling asleep | \n0 | \n0 | \n10 | \n3.3 | \n465 | \n|
Phobic reactions on the trigger incentives | \n3 | \n0.9 | \n4 | \n1.3 | \n0.478 | \n|
Dissociative symptoms on the trigger incentives | \n12 | \n3.9 | \n6 | \n1.9 | \n<0.05 | \n|
Avoidance | \nThoughts, feelings | \n11 | \n3.5 | \n38 | \n12.5 | \n< 0.05 | \n
Human action | \n69 | \n22.9 | \n143 | \n46.8 | \n<0.001 | \n|
Psychogenic fugue | \n12 | \n3.9 | \n4 | \n1.3 | \n< 0.05 | \n|
Reduced interest in previously Significant events | \n9 | \n2.9 | \n92 | \n30.2 | \n<0,001 | \n|
Sense of detachment, isolation | \n7 | \n2.3 | \n29 | \n9.5 | \n< 0.05 | \n|
The decrease in the level of Emotional response | \n34 | \n10.9 | \n89 | \n29.2 | \n<0.001 | \n|
The feeling of lack of perspective | \n0 | \n0 | \n12 | \n3.9 | \n0.478 | \n|
Excitations | \nSleep disturbance | \n89 | \n28.6 | \n198 | \n64.9 | \n< 0.05 | \n
Irritability | \n78 | \n25.1 | \n264 | \n86.5 | \n< 0.05 | \n|
Temper | \n96 | \n30.9 | \n214 | \n70.1 | \n<0.001 | \n|
Violations of concentration of Attention | \n32 | \n10.2 | \n139 | \n45.6 | \n<0.001 | \n|
Signs of social and labor maladjustment | \n9 | \n2.9 | \n45 | \n14.6 | \n<0.001 | \n
Frequency of post-traumatic symptoms and stress disorders in combatants with BMD and TABR (%).
Note: P is calculated using Pearson’s χ2, and intergroup differences were significant at p < 0.05.
It should be noted that combatants with TABR were significantly more likely to have psychogenic amnesia in the structure of the avoidance symptom than those with BDM.
\nSymptoms of emotional deficits with social introversion, such as a decrease in interest in previously significant events, a sense of detachment and isolation, and a decrease in the level of emotional response were found in both groups of respondents but were significantly more often present in people with BDM. A sense of lack of perspective was present in individuals with only clinically formed BDM (Table 1).
\nIn the combatant with TABR, clinical symptoms included maladaptive emotional and behavioral responses with symptoms characteristic of PTSD, but their duration and severity were significantly shorter and did not fit into the clinical criteria of the disease. In persons from the group with PPR, clinical symptoms were more pronounced, long-lasting, and polymorphic.
\nActive and timely diagnosis of adverse mental health conditions in combatants, rehabilitation, and therapeutic measures is an urgent task of the departmental health [15].
\nMany researchers noted the importance of developing new approaches to the treatment and rehabilitation of combatants with BMD. Inconsistency in psychodiagnostic approaches and terminology often leads to disagreements of specialists and is an obstacle to the modern provision of the necessary complex medical and psychological care.
\nRehabilitation is a complex of consistently held measures of medical, social, psychological, and pedagogical nature, aimed at the restoration of the individual to the level of her social activity.
\nAn important aspect of the success of BMD therapy is a personality-oriented approach that takes into account premorbid personality characteristics [7]. Combatants with harmonious traits, BMD treatment, and social readaptation are more successful in the near and in the remote period after participation in the war.
\nPsychotherapists identify the main directions of psychotherapy of combatants with combat mental trauma: restoration of a sense of value of life, control over their emotions, and restoration of destroyed social positive attitudes [12]. At the same time, the proposed techniques of work, long-term enough that in real conditions of service with existing employees is almost impossible to implement.
\nAt an early stage, as the practice of military conflicts in Afghanistan, the Persian Gulf, Vietnam, shows, it is advisable to carefully identify combatants who have received battle mental injuries and to maintain confidentiality, as the mechanism of “psychiatric stigma” is included. “Fatigue after a fight” in most cases is transformed into PTSD, which is a natural reaction of a person who finds himself in a war.
\nO. Yurkovsky fully described the stages and types of rehabilitation treatment of combatants with BMD, which include a set of medical, psychological, and social measures in inpatient and outpatient settings. The rehabilitation of patients with PTSD in the form of organization of the school, the basic principles of which are: balance, adaptability, and prevention; stages and continuity; complexity; and the concept of psychosocial rehabilitation of veterans of the war in Afghanistan, including three stages, is described: allocation of the main streams of combatants; conducting the main rehabilitation course (using special assistance centers); and supporting medical, psychological, and social methods [20].
\nDevelopment of the organization of necessary assistance to combatants should be based on a multi-professional, integrated approach with brigade methods and involvement of psychiatrists, psychotherapists, clinical psychologists, and drug addicts (in connection with the epidemic of drug use in the world and in Russia in particular). The most significant strategic miscalculation of the rehabilitation service creation is that the foundation on which the service is built is not defined [18].
\nMany experts in the field of mental health noted that the rehabilitation and therapy of veterans of combat operations are not sufficient; in this regard, they have the most pronounced risk of BMD and deviant behavior, which leads to a decrease in professional reliability and social functioning in general [11, 19].
\nS. Litvintsev notes that the treatment of persons with PTSD is advisable to produce in specialized departments and centers; the system of which in our country has not yet been established [9].
\nThe sequence and complexity of rehabilitation treatment are dictated by the need to resocialize combatants to reduce the negative psychosocial consequences in the modern society [7, 13].
\nWhen treating and rehabilitating combatants with PTSD, it is important to balance clinical and social approaches and motivate patients to recover quickly.
\nIn literature there are conflicting data on the evaluation of the effectiveness of therapy and rehabilitation of participants in hostilities. The analysis of the long-term results of rehabilitation measures conducted by O. Yurkovsky [20] showed that 88.5% of patients were successfully adapted and the effectiveness of treatment remained during the year. The effectiveness of therapy and rehabilitation depends on the timeliness of treatment, favorable premorbid, social support, and the absence of concomitant somatic diseases [8].
\nRehabilitation of persons with combat PTSD is a complex problem requiring improvement of organizational approaches and development of programs with the participation of various specialists involved in mental health.
\nThe use of psychopharmacotherapy in the treatment of BMD in combatants allows to stop psychopathological symptoms in the early stages, to increase the effectiveness of crisis psychotherapy, to reduce anxiety and aggression, to neutralize negative emotional reactions, and to improve interpersonal communication and social interaction.
\nThe choice of methods of medical treatment of BMD in combatants is based on clinical symptoms and is prescribed taking into account the main psychopathological syndromes and clinical forms in accordance with the standards of psychiatric care.
\nWith the predominance of depressive symptoms in the picture of BMD, it is advisable to use antidepressants (selective serotonin reuptake inhibitors and tricyclic antidepressants).
\nIn the case of the presence of PTSD and AD structure of alarming symptoms with sleep disorders, short course of explosive prescribe benzodiazepine tranquilizers and/or small neuroleptics.
\nIn conversion disorders, behavior correctors are mainly used. Antidepressants are not used due to the fact that they increase the dissociative symptoms.
\nIn the case of an explosive version of PTSD and AD, behavioral disorders are corrected with drugs with predominantly sedative effect; in some cases, a good effect is observed when taking lithium drugs due to stabilization of the emotional state.
\nIn the treatment of short-term depressive reactions caused by AD and PTSD with symptoms of anxiety and depression, selective serotonin reuptake inhibitors are most often used.
\nA good effect in the treatment of PPR, in the structure of which is dominated by anxiety and hypochondriac symptoms, as well as insomnia is noted when using benzodiazepine tranquilizers in the course 2–3 weeks, with gradual abolition.
\nIn combatants due to the negative impact of stresses of official activity after the execution of operational tasks in special conditions, often there are situational-due affective reactions, which are accompanied by anxiety and anxiety-phobic symptoms, which require the use of drugs with anxiolytic action. Their advantage is the absence of addiction and withdrawal syndrome, as well as a minimum number of side effects.
\nIn addition to drug therapy, combatants with BMD are provided with psychotherapy to respond to negative feelings and change attitudes to traumatic events. The main difficulty is the establishment of trusting contact, which is associated with the characteristics of patients that expressed distrust of the environment.
\nWhen conducting psychotherapy at the initial stage of medical rehabilitation, the presence of “combatant accentuation,” in the structure of which there is a formed distrust, unwillingness to seek help, skepticism, difficulties in interpersonal communication, and increased irritability and temper. These features often lead to conflicts with medical staff and psychologists. In combatants with PTSD, preference is given to individual forms of psychotherapy, especially at the stationary stage, since collective and group psychotherapy in the stage of acute clinical symptoms causes protest reactions in some people with BMD in the form of explosive outbreaks and dissociative symptoms.
\nThe establishment of empathic, trusting relationships between the patient and the psychotherapist is a critical therapeutic factor necessary for the effectiveness of therapy. When building communication in the process of psychotherapeutic treatment, it is necessary to take into account the personal characteristics of patients [3].
\nPsychotherapy with combatants is aimed at:
\nFormation of motivation for treatment and overcoming of the stigmatized attitude to the treatment process.
Combatant study of their psychological and personal characteristics.
Correction of response patterns in civilian life.
Formation of adaptive behavior skills in the service and at home.
Training in the techniques of psychical self-regulation and increase of their psychological capabilities for gaining control of emotional reactions.
At the initial stage of rehabilitation, it is advisable to conduct individual rational psychotherapy with all combatants—for the interpretation of the nature and causes of traumatic stress through logical re-persuasion, the formation of motivation for psychotherapeutic treatment, and overcoming the stigmatized attitude to psychotherapeutic assistance. The means of psychological influence are persuasion, explanation, and distraction. The main purpose of this psychotherapeutic method is to study the patient’s personality, evaluation, and correction of inadequate emotional and behavioral stereotypes of the patient, which determine the violation of his psychological and social functioning.
\nThe use of art therapy contributes to the additional diagnosis of personal problems, affective disorders, further de-actualization of traumatic events, the expansion of adaptive reserves, self-esteem, and mood correction. The plot should be connected with the peculiarities of the combatants’ attitude, feelings, and experiences reflecting the stressful effects. The therapy is conducted individually and effective combatants as with adjustment disorder, and PTSD. Painting and drawing techniques are used with various materials (gouache, pencil, oil, watercolor, artistic coal). Depending on the material chosen by the combatant, the duration of the session is from 30 minutes to 1.5 hours, and the number of sessions per course of therapy is from 3 to 10 times.
\nAs an example, illustrating the theoretical material, we present the work of two combatants diagnosed with PTSD. A work of art is made with charcoal.
\nIn the examination of combatant K, 27 years old, after returning from the NCR, he was found to have pronounced explosive and dysphoric symptoms, the violation of communicative processes, social isolation, pessimism, and a diagnosis of PTSD, dysphoric type (a plot—“a lone rider,” Figure 1A).
\n(A) Combatant K—Before treatment. Diagnosis: PTSD, dysphoric type. (B) Combatant K—In a month of therapy.
After the medical and psychological rehabilitation, improvement of the emotional background and reduction of the main psychopathological manifestations were noted (a plot —“nest,” Figure 1B).
\nDuring the examination of combatant M. after returning from the NCR (a plot—“warrior,” Figure 2A), there was a pronounced aggressive-dysphoric mood, violation of interpersonal communication skills, negativity, and “defensive position.” After the medical and psychological rehabilitation, the stability of the emotional background, balance, and reducing anxiety and aggression were noted (a plot—“sea, calm,” Figure 2B).
\n(A) Combatant M—Before treatment. Diagnosis: PTSD. (B) Combatant M—in a month of therapy.
In the works of the combatant K, 27 years old, diagnosed with PTSD, an alarming type, there was also a positive dynamics of mental state. A work of art is made with charcoal. After returning from the NCR (a plot—“a wolf howls at the moon”), expressed anxiety and depression symptoms, a violation of communication processes, social isolation, and pessimism were noted (Figure 3A). After the medical and psychological rehabilitation (a plot—“winter landscape”), the stability of the emotional background, balance, and lack of anxiety and depression on the background of introversion were noted (Figure 3B).
\n(A) Combatant K—Before treatment. Diagnosis: PTSD. (B) Combatant K—in a month of therapy.
The leading method in working with combatants is family psychotherapy, aimed at restoring family values and interpersonal relations in the family. The attention of the immediate environment is focused on the need to provide psychological assistance and family support to the combatants; it is explained that the return to peaceful life may be accompanied by difficulties. Family members are given a description of the combatant’s behavior, the problems that have arisen after combat stress are reported to be of a nonpermanent nature, and the family can help to deal with them.
\nOur data in the study of mental morbidity among combatants significantly differ from the studies of O. Shevtsova and V. Kokhanova, who revealed that the background of the increase in the number of BMD, dismissal among the military who underwent BND, is 61.4% due to clinical resistance to therapy and the presence of psychosocial consequences [19]. Similar data are noted in the works of D. Svechnikov and co-authors, who show that neurotic disorders in military personnel are the leading pathology for defense agencies, leading to early dismissal and extremely negative impact on the combat effectiveness of the army [11].
\nAccording to our data, the timely provision of professional assistance to combatants with the BMD not only does not lead to dismissal but also is not an obstacle to professional growth. In the process of rehabilitation of combatants with BMD, there is a positive trend: a month after the start of therapy in persons with RA is 83.3% and PTSD in 67.4% of cases; during the year 93.1 and 89.9% and in 4 years 98.9 and 96.6%, respectively. V. Shamrey noted that the identified violations in the combatants rarely led to a serious violation of social adaptation but felt sick as hindering the possibility of adequate realization of their personal potential; they did not associate them with the disease, regarded them as “growing up” [17].
\nThus, early detection of BMD and pre-pain conditions in combatants with appropriate poly-professional therapy leads to positive results, contributing not only to the preservation of mental health but also to further career growth.
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On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. 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His primary area of interest is physiology and pathophysiology of the gastrointestinal (GI) tract, with the major focus on the mechanism of GI mucosal defense, protection, and ulcer healing. He was a postdoctoral NIH fellow at the University of California and the Gastroenterology VA Medical Center, Irvine, Long Beach, CA, USA, and at the Gastroenterology Clinics Erlangen-Nuremberg and Munster in Germany. 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Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,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. 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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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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:"93",type:"subseries",title:"Inclusivity and Social Equity",keywords:"Social contract, SDG, Human rights, Inclusiveness, Equity, Democracy, Personal learning, Collaboration, Glocalization",scope:"
\r\n\tSustainable approaches to health and wellbeing in our COVID 19 recovery needs to focus on ecological approaches that prioritize our relationships with each other, and include engagement with nature, the arts and our heritage. This will ensure that we discover ways to live in our world that allows us and other beings to flourish. We can no longer rely on medicalized approaches to health that wait for people to become ill before attempting to treat them. We need to live in harmony with nature and rediscover the beauty and balance in our everyday lives and surroundings, which contribute to our well-being and that of all other creatures on the planet. This topic will provide insights and knowledge into how to achieve this change in health care that is based on ecologically sustainable practices.
",coverUrl:"https://cdn.intechopen.com/series_topics/covers/92.jpg",keywords:"Ecology, Ecological, Nature, Health, Wellbeing, Health production"},{id:"93",title:"Inclusivity and Social Equity",scope:"\r\n\tGlobally, the ecological footprint is growing at a faster rate than GDP. This phenomenon has been studied by scientists for many years. However, clear strategies and actions are needed now more than ever. Every day, humanity, from individuals to businesses (public and private) and governments, are called to change their mindset in order to pursue a virtuous combination for sustainable development. Reasoning in a sustainable way entails, first and foremost, managing the available resources efficiently and strategically, whether they are natural, financial, human or relational. In this way, value is generated by contributing to the growth, improvement and socio-economic development of the communities and of all the players that make up its value chain. In the coming decades, we will need to be able to transition from a society in which economic well-being and health are measured by the growth of production and material consumption, to a society in which we live better while consuming less. In this context, digitization has the potential to disrupt processes, with significant implications for the environment and sustainable development. There are numerous challenges associated with sustainability and digitization, the need to consider new business models capable of extracting value, data ownership and sharing and integration, as well as collaboration across the entire supply chain of a product. In order to generate value, effectively developing a complex system based on sustainability principles is a challenge that requires a deep commitment to both technological factors, such as data and platforms, and human dimensions, such as trust and collaboration. Regular study, research and implementation must be part of the road to sustainable solutions. Consequently, this topic will analyze growth models and techniques aimed at achieving intergenerational equity in terms of economic, social and environmental well-being. It will also cover various subjects, including risk assessment in the context of sustainable economy and a just society.
",coverUrl:"https://cdn.intechopen.com/series_topics/covers/91.jpg",keywords:"Sustainable, Society, Economy, Digitalization, KPIs, Decision Making, Business, Digital Footprint"},{id:"95",title:"Urban Planning and Environmental Management",scope:"