The features of primary matrix.
\r\n\tThere are generally two types of masonry: brick and stone masonry. Brick masonry: a type of masonry that uses bricks. However, masonry is further divided into "clay work," which uses clay to fill various joints with bricks to build walls, and "cement masonry," the cheapest type of masonry. Masonry: this is the art of building with bricks or stone. The ability of masonry to support the load imposed by the structural elements above it is called strength. The application of loads to masonry creates internal stresses and deformations. The brand of mortar and brick, the shape and size of masonry materials, and the thickness and density of mortar joints affect the strength of masonry. The ability of masonry to maintain its position under horizontal load is called stability. This property limits the height of masonry depending on its thickness and the magnitude of wind loads. The thermal conductivity of bricks of different types (silicate, ceramic, facing, refractory) is considered. A comparison of bricks in terms of their thermal conductivity is made; the thermal conductivity coefficients of refractory bricks are presented at different temperatures - from 20 to 1700°C. The thermal conductivity depends mainly on the density and the configuration of the voids. Architecture and construction consist of various elements for building works, and masonry is the main element with which these constructions are realized. Masonry is a piece of fired clay with a rectangular shape and is used to build walls and structures. Nowadays, eco-masonry can be made of different materials that offer a variety of advantages, but all of them offer benefits at the level of the environment and sustainability; some of these utensils are plastic bottles, clay, etc. The book addresses the holistic issue of using modern masonry in construction. This book interprets masonry as an essential theme of contemporary architecture and sustainable construction. It is one of the most valuable materials in the history of mankind.
",isbn:"978-1-83768-126-6",printIsbn:"978-1-83768-125-9",pdfIsbn:"978-1-83768-127-3",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"85ef86d046d15e7d4b1988f1ec5dd750",bookSignature:"Prof. Amjad Almusaed and Prof. Asaad Almssad",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/12061.jpg",keywords:"Unreinforced Masonry Buildings, Masonry in Sustainable Building, Energy Saving and Masonry, Eco-Friendly Masonry, Modern Architecture and Masonry, Masonry and Human Behavior, Esthetic and Masonry, History of Advanced Masonry, Structural Masonry, Modeling of Masonry Structures, Modern Masonry Manufacturing, Masonry Walls",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 20th 2022",dateEndSecondStepPublish:"July 21st 2022",dateEndThirdStepPublish:"September 19th 2022",dateEndFourthStepPublish:"December 8th 2022",dateEndFifthStepPublish:"February 6th 2023",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"21 days",secondStepPassed:!0,areRegistrationsClosed:!1,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"Prof. Amjad Almusaed, affiliated with Jönköping University has carried out a great deal of research and technical survey work and has performed several studies in these areas. 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It’s a maneuver of the algorithm for the purpose of diagnosis, prognosis, or treatment of certain diseases. AI is the convergence of human and machine learning. John McCarthy, one of the founding fathers of AI, defined it as “the science and engineering of making intelligent machines” [1]. In this current era, intelligent machines pertain in various domains like financial, automatic driving, smart home, etc. In healthcare, machine learning is widely used to build automated clinical decision systems and in the treatment of different diseases [2]. AI utilizes advanced algorithms to learn from healthcare data and assist healthcare professionals in clinical practice. It has self-correcting and learning capabilities to cope with its exactness based on analysis [3]. AI can detect the spread of endemics by tracking animals and plant diseases and by accessing global airline ticketing data that are when and where the infected residents are moving and detect when an endemic can become a pandemic. The advancement in AI and its caliber to imitate human intelligence is heading towards the passing of Turing test [4] and AI will have a major impact on the forthcoming industrial revolution [5].
AI is the ray of computer science that deals with counterfeit intelligent human behavior. Using an electric circuit, Dr. Warren Mculloch and Dr. Walter Pitts [6] described neuronal activity and their modeling and explained the notion of neural networks. AI was first coined at Dartmouth college conference in 1956 [7] and the primitive work of AI was recorded in the 1970s after 15 years of existence of AI. The dendral experiment was the early employment of AI in life science [8]. The interpretation of electrocardiogram (ECG) stepped from 1970 to 1990 is considered as a major development in the field of AI [9]. A clinical decision support system was developed during the 20th century [10, 11]. However, the eagerness about AI was at its peak during the 1980s, but the phenomena of “AI winter” occurred due to groundless forecasting by the observers led to a lack of funding and interest [12]. There was continuous progress in building artificial intelligence in mid-20s by improving the algorithm and feeding the huge data of healthcare and its intelligence makes it cognizance of assisting the clinical cases of patients with the support of healthcare professionals. The renaissance of AI happened in 2012 after the evolution of image classifiers [13] and incorporation of AI in patients treatment needs to be trained on the basis of large data of clinical case studies so that it can examine the patient condition on the basis of history and the data which it has and results in diagnosis and in treatment methodology. The devices which favors in the department of healthcare are trained through machine learning. Basically, machine learning makes computer learn by the provided data i.e. algorithm in great measure [14, 15]. Supervised and unsupervised machine learning are two paradigms of machine learning [16]. Supervised machine learning classified the large data result and separate it into different categories and also predicts the result i.e. regression. In unsupervised machine learning there is no result prediction and it conglomerates the results [17].
The proof of AI and its concept has been demonstrated since older times. The history has been recorded with such minds related to the AI and executed their intellections and till today there are a new development, researches, and inventions going on in the field of AI and its application in different branches of healthcare.
AI has proliferated its roots in the noble profession of healthcare. There is a boom in the use of AI, from detection of pulse rate to cancer detection and therapy consultation, from complete medical history to health monitoring to maintain and analyze the healthcare system. It is a helping hand in drug discovery and drug creation database and all this is implemented by the use of the algorithm and deep neural network.
Currently, AI is being used in various healthcare departments like radiology, cardiology, hematology, ophthalmology, and also in the management of various diseases.
AI in cardiology assists healthcare professionals in detecting the changes in normal heart functioning and helping in making a clinical decision. ECG is also a contribution of AI. There are various devices that are used in the monitoring of heart rate, blood pressure, tachycardia, bradycardia, stroke, and atrial fibrillation which works on the algorithm and deep neural network. These devices are user-friendly and alarm the individual who is using them. Wearables that detect biological activity also work on the same principle [18]. A schematic representation of the use of AI in cardiology is given in Figure 1.
Use of artificial intelligence in cardiology.
AI and radiology together have brought a drastic change in the field of healthcare. The dawn of the application of AI in radiology was since 1960s [19]. Medical imaging in the detection and diagnosis of diseases is the widest use of machine learning in the field of healthcare [20]. CT scans, MRI, tomography, X-Ray are used algorithms in radiodiagnosis. The machines detect and pinpoint the changes on the basis of large data by which the neural network has been trained. The AI in radiology is applied for the detection of breast cancer at an early stage by mammography scans [21, 22] and tumors, tuberculosis, or diseases related to lungs with chest radiography [23, 24, 25, 26, 27]. A schematic representation of clinical radiology workflow is given in Figure 2.
Clinical radiology workflow.
In ophthalmology AI is tremendously used in detection and monitoring of diabetic retinopathy [28, 29, 30, 31, 32, 33], glaucoma [29, 34, 35], age-related macular degeneration (AMD) [29, 36, 37], retinopathy of prematurity (ROP) [38] with the help of retinal cameras of fundus photography [16]. The diagnosis of ocular diseases is based on the deep learning system that is trained on the numerous images of each disease. A study of the population with diabetes from US, Australia, Europe, and Asia in the years between 1980 to 2008 shows the frequency of diabetic retinopathy of 34.6% and 7% vision-threatening diabetic retinopathy [39]. Thus
Use of AI in diabetic retinopathy diagnosis and treatment.
Machine learning models such as visual fields, optical coherence tomography (OCT), and optic disc characters are used for the diagnosis of glaucoma [41]. Glaucoma is a medical condition in which the intraocular pressure inside the eye rises up. Age-related macular degeneration (AMD) is a condition in which there is degeneration in the center of the retina and is responsible for vision loss. Spectral OCT is used in the diagnosis of AMD [42]. Retinopathy of Prematurity (ROP) is a disease that occurs in premature born babies and the leading cause of childhood blindness due to abnormal growth of blood vessels towards the edge of retina. Wide-angle retinal images with machine learning [43] and i-ROP DL system which works on the basis of convolutional neural network (CNN) was trained on the images more than 5000 in number with a single standard reference diagnosis (RSD) [44] for the diagnosis of ROP.
In this modern era, AI is used for drug discovery and drug design on the basis of artificial neural network (ANN), algorithm, and deep learning. In drug discovery, inaugural employment of ANN was in 1970 to detect whether the 1,3-dioxane is physiologically active or not [45]. The application of ANN in Quantity Structure Activity Relationship (QSAR) is the next stage in the field of drug discovery [46]. QSAR studies were involved in drug design since 1960 by involving the simple structures to know the activity of the combination of compounds [47]. Currently the biological and physicochemical activity i.e. ADMET (Absorption, distribution, metabolism, excretion, and toxicity), binding constants according to their binding sites are also vaticinated using ANN which is trained on various sets of compounds in the field of drug discovery [48]. The application of AI is at every step of the drug discovery process, from identification of drug targets to new drug molecule research following its volunteer election for clinical trials [49, 50, 51] also its pharmacological property [52], its binding effect with protein, potency and synergistic effect with other drugs [53, 54]. Docking software which is used to find the perfect binding molecule for the particular receptor and its activity also works on the algorithm. AI has simplified the process of drug discovery by saving time and money expenditure of US$2.5 billion on R&D [55]. Thus, AI has routed the drug discovery process into simpler, quicker, and cost-effective
Biopharmaceutical companies using AI technology in drug discovery.
Artificial intelligence is an important and valuable technology that offers promising solutions to healthcare industry needs. It opens up gateways to individualized treatment approaches tailored to the needs of individual patients. It offers multiple advantages over traditional analytics and other clinical decision-making tools. Data becomes more precise and accurate allowing the healthcare industry to have more insights into the diagnosis and treatment processes thereby improving patient outcomes.
There is an unequal urban growth taking place all over the world, but the rate of urbanization is very fast in developing countries, especially in Asia. In 1800 A.D., only 3% of the world’s population lived in urban centers, but this figure reached 14% in 1900 and about 65% (3 billion) of people were urban inhabitants in 2016 [1]. Sustainability may seem like one more buzzword, and cities and towns like the last places to change, but the natural step for communities provides inspiring examples of communities that have made dramatic changes towards sustainability, and explains how others can emulate their success [2]. In the meantime, the natural step believes the root causes for unsustainability should be taken into account when designing for sustainable solutions and satisfaction of fundamental needs. These root causes are derived from a scientific understanding of our social-ecological systems—the interactions between humans in society and between humans, their organizations and the ecosystem [3]. Its biggest advantage is the concept of “simplification without reduction” to prevent getting lost in the details with the complex topic of sustainability. For almost 30 years, the approach has been implemented, proven and refined in education, research, businesses, municipalities, regional and national governments, intergovernmental organizations [4]. Since, the main theme of any geographical analysis is to emphasis on the space and its environmental concepts, any change in the relationship between humans and the urban environment can be considered as the final product of the human desire to change the settlement areas in order to overcome the environmental and spatial nature of the city. In this context, spatial changes in the urban environment can be considered as socioeconomic, environmental, political and spatial policy functions, which had different implications of the urban space according to its various conditions at different periods of time, making the concepts of space and urban environment with the fundamental transformation [5, 6]. On other hand, various aspects of human life have been affected due to the rapid development of urbanization in recent decades. So, urban sustainability is in fact related to the world sustainability. Accordingly, the role of cities and their impacts on the sustainability criteria have attracted the attention of many scientists [7]. Considering the WHO annual report, rapid, unplanned and unsustainable patterns of urban development are making developing cities focal points for many emerging urban environmental challenges. As urban populations grow, the quality of the urban environment will play an increasingly important role in public health with respect to issues ranging from solid waste disposal, provision of safe water and sanitation and injury prevention, to the interface between urban poverty, environment and health. Thus, unsustainable patterns of urban planning in the third world cities and urban land use planning are a driver, or the root cause, of a number of significant and interrelated urban environmental and health hazards faced by urban dwellers in developing countries. These health and environment linkages cut across a range of policy sectors and thus are often overlooked in policy making. They are a focus of this priority risks section on the urban environment [8, 9, 10].
In the view of the World Bank, it should be stated that urban environmental problems are often blamed on poverty. Most often, urban affluence is viewed as an environmental burden. Meanwhile, middle-income cities are often cited as extreme examples of urban environmental distress. A stylized account of an urban environmental transition can help explain these superficially contradictory claims in terms of the different environmental burdens typically associated with cities at different levels of affluence. However, urban poverty is not strongly associated with environmental degradation in the sense of overuse of finite natural resource bases or the generation of ecologically damaging or disrupting wastes. It is the consumption patterns of non-poor groups (especially high-income groups) and the largely urban-based production and distribution systems that serve those that are responsible for most such degradation caused by urban populations [11]. In this respect, urban environmental subjects can be joined to the sustainable urban development issues. Therefore, a successful city must balance social, economic and environmental needs: it has to respond to the pressure from all sides. A successful city should offer investors’ security, infrastructure (including water, energy, population, management, environmental rules, etc.) and efficiency. It should also put the needs of its citizens at the forefront of all its planning activities. A successful city recognizes its natural assets, its citizens and its environment is built on these to ensure the best possible returns [12]. In the city context, this means that sustainable urban development is not a choice but a necessity if cities are to meet the needs of their citizens. Urban centers must be socially equitable, economically successful and environmentally sustainable if cities are indeed to be the home of humanity’s future [13].
Considering the above explanations, the strategic environmental assessment (SEA) is a process to ensure the identification and assessment of environmental effects likely leading to policies, plans and programs. SEAs also ensure that environmental effects are mitigated, communicated to decision-makers, monitored and opportunities are provided for public involvement. A SEA examines the need for social progress, effective environmental protection, prudent use of natural resources and economic growth [14]. During the 1980s, ideas about urban environment-development relationships were changing dramatically and by the time of the Earth Summit in Rio (1992), it was widely accepted that environment and development must go forward together and in balance—in other words, towards a sustainable development. The Second United Nations World Conference on Human Settlements (Habitat II—the “City Summit”) in Istanbul (1996) further considered this point in its global agenda for cooperation by acknowledging the direct and vital contribution that productive and sustainable cities can make to social and economic advancement. This understanding has been widely accepted among those concerned with the management of cities around the world, and has become the basis for new concepts and approaches to urban environment-development relationships [15]. In brief, the argument has three points:
Sustainable cities are fundamental to social and economic development;
Environmental degradation obstructs the development contribution of cities; and
Then, we can make a conclusion that urban environmental issues are multiple subjects and they are in the direct relationships to sustainable urban development and future strategies approaches. In this context, urban environment from Carson’s view is an ecosystem or an environment that consists of components and elements such as resources, processes and their impacts on local plants and animal communities, human life, soil, water and air (as the natural environment), resources and processes as well as associated impacts on buildings, housing, roads and infrastructures (as the built environment), resources and processes. Besides these are also the environmental effects of human activities such as education, health and arts (as the social and economic environment) as a result of human activities and conversion of resources and raw materials to the product and requirement services in the urban scale. Therefore, urban environment was affected by these processes which can be considered as positive or negative impacts on human life in urban centers [18, 19, 20]. Accordingly, the natural step (TNS) is a naturalist approach founded in Sweden by scientist Karl-Henrik Robert (1989). In the context of urban environmental issues, this approach is formed from a series of strategic plans together with approaches of future studies. Therefore, future studies in connection with urban environment dimensions are some collective efforts that will be applied by analysis of the change or stability of agents focusing on the visualization of potential future and planning to achieve environmental objectives in urban spaces [21, 22]. The problems that cities are facing with today may be similar to those of the future cities but with greater compounding effects. Consequently, policy actions for developing sustainable city futures ought to be applied, tested and transferred to help solve problems for other cities [23, 24]. It can be stated that scarce researches have been conducted about the urban environmental crisis in terms of future and strategic studies. So, this study tries to analysis the opportunities and challenges of the urban environment using TNS approach (scenario and strategic planning) in the context of future study. On this basis, it is essential to pay attention to and try to solve the urban environment challenges.
Saqqez city covers approximately 1474.8 ha located between 46°13′ and 46°16′ eastern longitude and 36°11′ and 36°15′ northern latitude within the north-west of Kurdistan province in the northwest of Iran. According to the 2006 census, the city’s population was 135,037 people, whereas its current population is about 145,000 individuals. The building area was reported to be 618.26 ha. The average elevation of the city is about 1496 m above mean sea level. Saqqez city is characterized as a mountainous area located within Zagros Mountain range from southeast to north-west.
This area comprises about 15.5% of Kurdistan province. The difference of height between the highest elevation and the lowest point (Chehel-Cheshme Mountain 3173 m and Symone-Rood basin 1150 m above mean sea level) is about 2023 m. Saqqez River emanates from western mountains (Khan valley) and continues its path across the city towards northeast. Figure 1 shows the location of study area in Kurdistan province, Iran [25] with a 987 km2 common border with Iraq. The western border of Iran was specified by the border commission according to the Goldsmith Plan in September 1871 [26]. This borderline has separated parts of Kurdistan from Iran [27] and today a majority of the Kurdish population (about 25 million people) lives within Turkey (a group of Kurdish people also lives in Iran, Iraq and Syria [28]). Kurdistan province in Iran has been reported to have the lowest level of development [29, 30, 31]. Saqqez as the second largest city of Kurdistan province in Iran has faced several challenges and opportunities in the field of the urban environment. In recent years, due to the maladministration, a lot of these environmental capacities has been destroyed, and it is expected that in the near future, due to the widespread destruction of environmental foundations, the life continuing in the neighboring cities of this area will be faced with the serious challenges. This will be understandable once we know that Saqqez city has covered about 500,000 people by providing the needed services and at the time of environmental crisis, there will be major human and natural challenges. Also, there are many examples of these type issues in the Asian cities. Therefore, the analysis of the environmental status of Saqqez city can be a suitable model for analyzing and adopting its findings to the other cities in the developing countries of Asia. According to what was stated the present research has the most important for the study area.
The study area.
The applied methodology was analytical based on its nature and practical in term of results. In addition, descriptive-analytical studies, document and questionnaire in the framework of Delphi, and cross-impact matrix analysis were employed using Micmac and scenario wizard software tools. In the first step, after collection of data and identification of basic variables in the Delphi model, 50 questionnaires were distributed among 30 municipal executives and 20 academic elites with expertise and experience in urban management and environmental issues. Data were analyzed with a 78 × 78 matrix, by which data were included into the cross impact matrix followed by closing the CIM. After this classification, the experts were asked to evaluate the affecting variables (direct, indirect or potential) by scoring 0–3 with
The effective environmental indicators of Saaqez city were classified in the framework of a n × n matrix. For this purpose, 16 main categories of variables (Table 1) along with the 78 subcommittee variables were identified as the primary variables after holding meetings with the selected academics and executives. Then, by incorporating the variables into the mic mac software, it was attempted to define each variable according to its subsidiary and identity. In the next step, the experts were asked to score the variables based on the influence and effectiveness rate of variables on each other. As stated in the methodology section the variables were scored from 0 to 3 with P values (0 = null, 1 = weak, 2 = average, 3 = strong, P = potential effect), forming a cross impact matrix (Figure 2). It should be noted that due to the large size, only some parts of the matrix are expressed in here.
Matrix size | Iteration | 0 (N) | 1 (N) | 2 (N) | 3 (N) | P (N) | Total | Fill rate |
---|---|---|---|---|---|---|---|---|
78 × 78 | 2 | 256 | 797 | 2937 | 1939 | 155 | 5828 | 95.7924% |
The features of primary matrix.
Source: Research findings, 2018.
A small part of CIM on urban environment in the study area. Source: Research findings, 2018.
Based on the above findings, it can be concluded that the obtained fill rate is equal to 95.79% with two data iterations, representing a high level of variables influencing each other. This situation shows the efficiency of the research tool and also a very desirable verification of data collection by distributing the questionnaires.
Afterwards, CIM was obtained based on Table 1. Since a total of 5828 values were calculated in the framework of the cross-impact matrix by the elites, 2937 cases with the highest statistical volume had a moderate impact (2) on other variables: Also, 1939 numbers had the highest impact, and 797,256 and 155 cases presented ordinary the lowest, null and potential impacts on the other variables. Table 1 provides the categorized variables belonging to the number of abbreviated variables.
According to Tables 1 and 2 and also by considering the analytical results, there are different practically important variables in Saqqez environmental system. Table 3 shows various forms of the variables in the framework of determinant, result, planar and independent variables.
Categories | Abbreviation | Variables | The highest row rates | The highest column rates | |
---|---|---|---|---|---|
1 | Ecological variables | EV | EV1 & EV2 | EV2: 151 | EV1: 182 |
2 | Urban recycling | RY | RY1 to RY5 | RY4: 211 | RY4: 185 |
3 | New technologies | NT | NT1 & NT2 | NT2: 189 | NT2: 185 |
4 | Sociocultural | CS | CS1 to CS7 | CS7:155 | CS7: 168 |
5 | Management elements | ME | ME1 to ME5 | ME5: 197 | ME4: 188 |
6 | Physical-spatial | PS | PS1 to PS7 | PS1: 171 | PS7: 162 |
7 | Old texture | OT | OT1 to OT5 | OT2: 191 | OT5: 142 |
8 | Marginalization and poverty | MP | MP1 to MP5 | MP2: 183 | MP4: 172 |
9 | Population and immigration | PM | PM1 to PM4 | PM4: 191 | PM1: 167 |
10 | Urban land use | UL | UL1 to UL 7 | UL7: 192 | UL1: 173 |
11 | Environmental rules | LR | LR1 to LR5 | LR1: 158 | LR4: 181 |
12 | Religious elements | RE | RE1 to RE4 | RE4: 55 | RE4: 92 |
13 | Environmental pollutants | EP | EP1 to EP6 | EP7: 173 | EP4: 173 |
14 | Urban diversity | UD | UD1 to UD6 | UD6: 178 | UD6: 168 |
15 | Climate parameters | EP | CP1 to CP5 | CP2: 184 | CP4: 171 |
16 | Economic elements | EE | EE1 to EE3 | EE2: 188 | EE1: 165 |
Variables of urban environment in the study area.
Source: Research findings, 2018.
Variables | ||||
---|---|---|---|---|
Determinant | Result | Planar | Independent | |
1 | OT | Creating urban environment integrated plan (ME1) | Climate parameters (CP) | Religious element (RE) |
2 | RY | The impossibility of establishing urban parks and green open spaces (OT2) | Environment pollution (EP) | — |
3 | ME | Lack of sense to place due to the immigrant citizens (OT4) | Urban land use (UL) | — |
4 | NT | Physical-spatial design according to UE (PS2) | Ecological variables (EV) | — |
5 | — | Non-standard density of housing units and population (PS3) | Urban diversity (UD) | — |
6 | — | Utilizing of social and cultural capacity in the UE (CS1) | Environment rules (LR) | — |
7 | — | Originality and environmental belongings in the metropolitan area (CS5) | Marginalization and population elements (MP) | — |
8 | — | Correct biological and ecological resource management (UD6) | — | — |
9 | — | Resource allocation and creation of new bio-capacities (EE2) | — | — |
Different research variables according to their identity.
Source: Research findings, 2018.
Figure 3 and Tables 1–3 clarify that the religious element had the lowest influence and dependency coefficient among other variables. Also, according to calculated column rates, the management elements (ME), new technologies (NT) and recycling (RY) had the most direct dependency to other research variables. Therefore, codification and promotion of urban recycling regulation index (RY4) with 211 scores and that of urban environmental diplomacy project (ME5) with 197 scores had the most direct impacts on the other variables. The integrated urban environmental management index (ME4) with the 188 column rates showed the highest indirect impact among other research variables (Table 2).
Distribution of variables according to direct influence-dependency and their planar identity. Source: Research findings, 2018.
The research variables are distributed in the diagram according to the variable status in the analyses and the planar identity of some other variables. Paying attention to the findings presented in Figures 4 and 5 can be illustrated as below.
Distribution of variables according to their direct influence-dependency. Source: Research findings, 2018.
Distribution of variables according to indirect influence-dependency. Source: Research findings, 2018.
Therefore, the instability situation of Saqqez urban environment system was confirmed at a high level through the obtained data from the analysis of indirect influences of the variables on each other, suggesting that the variables are more distributed around diagonal lines in the northeast and southeast parts of the diagram. Thus, most variables of this section have a planar identity, which, at the same time, are very influential and impressionable resulting from exacerbating or damping effects of variations due to their instable nature. Accordingly, the variables with the highest indirect impacts on the other variables include RY5 (attention to recycling economic value on the environmental management), UL7 (investment for the development of environmental land uses), RY3 (recycling of raw materials), ME5 (codification of environmental policy projects) and UL6 (biological and ecological resource management) with row points of 5,256,577, 5,194,741, 5,177,374, 5,165,320 and 5,099,651, respectively. Meanwhile, the indexes of urban integrated environmental management (ME4), compliance of Saqqez city environmental policies with the 1404 (2025) Iranian strategic planning (ME3) and the codification of environmental policy project (ME5) with column points of 5,020,651, 4,965,982 and 4,887,829 presented the highest indirect dependencies among the other variants.
According to the findings of this research, it is obvious that R2 coefficient is equal to 0.0909 with a trend line value of 0.43 indicating strength relationships among the selected variables in the improvement of the urban environment in Saqqez city. Therefore, attention to the recycling of goods and waste materials with 3 weights and 0.04 coefficients besides the waste separation (Co: 0.03 & We: 4, final weight 0.12) cause lesser damages to the urban environment. Thence, the key driving forces in Saqqez urban environment are presented in Table 4.
Key direct influencing factors | Abbreviation | Key indirect influencing factors | Abbreviation |
---|---|---|---|
Urban recycling | RY | Urban recycling | RY |
Management environment | ME | Urban land use | UL |
Urban land use | UL | Management environment | ME |
Population and immigration | PM | Economic elements | EE |
Old texture | OT | Climate parameters | CP |
New technologies | NT | Urban diversity | UD |
Environmental pollutants | EP | Marginalization and poverty | MP |
Economic elements | EE | Old texture | OT |
Climate parameters | CP | Population and immigration | PM |
Ecological variables | EV | Environmental pollutants | EP |
Urban diversity | UD | New technologies | NT |
Environmental rules | LR | Physical-spatial | PS |
Marginalization and poverty | MP | Ecological variables | EV |
Physical-spatial | PS | Sociocultural | CS |
Sociocultural | CS | Environmental rules | LR |
Religious elements | RE | Religious elements | RE |
The key affecting variables in Saqqez environmental management.
Source: Research findings, 2018.
By incorporating the key forces of the urban environment in the study area to the amidst cross impact methods in the frame of SMIC software, the key forces can be defined as four assumptions of consistent scenario (CS), middle scenario (MS), weal scenario (WS) and inconsistent scenario (IS). These assumptions in the form of a questionnaire were sent to 25 experts to assess their relationships by scoring from 1 to 5. Here, the expert can only describe the hypothesis realization probability on a scale from 1 to 5 (weak to high probability), hence avoiding any lack of precision from the expert’s side. It is more helpful to see all as conditional probabilities, that is, the realization of a hypothesis in relation to the rest. Score 6 means that the hypothesis is independent. The software first produces a solution, namely a median probability distribution of a set of hypotheses. Minimizing its quadratic form, this is the least remote equally probable solution which would give each scenario the same probability. On the other hand, there exist certain solutions in Π tending to infinity, which give extreme values to each scenario. For the first eight extremes, the software calculates the uncertainty range: minimum and maximum values that can be taken by each scenario. Prob-Expert provides a series (
As shown in Table 5, the influence and dependence between different scenarios can be obtained in the views of experts. It should be noted that the second assumption in the frame of the second scenario has the highest influence rate on another scenario and the inconsistent scenario has the lowest influence on other situations. In contrast to this case, the last scenario (IS) had the uppermost dependency to the other scenarios. According to overall approach of the research, it can be concluded that after identification of variables and assessments of their relationships by the selected executives and academic elites, a total of 78 final variables were evaluated in the framework of TNS approach key assumptions. Finally, 16 variables were selected as the key influencing and effective forces (Table 4). In addition, due to the proximity of some research indices to each other, these parameters were used in the context of a supplementary variable to the scenario planning process. Also, to complete the requirements of the scenario, some indices were added to the previous list and applied in the process of favorable, tragic and middle scenarios. Considering the courses of strategic planning (5–10, 10–20 and over 30 years as the short-, as medium- and the long-term periods), this research has considered the 15-year study period to explain the future study approach in Saqqez urban (Table 6).
Extracted scenarios according to the probe-expert provides.
Favorable scenario | Tragedy scenario | Middle scenario | Key element |
---|---|---|---|
Taking the advanced technologies and IT to enhance the urban environment development capacity in Saqqqez city | Lack the utilization of advanced technologies and information technologies (IT) to enhance the urban environment development capacity in Saqqez city | Continuation of the current situation | New technologies |
Developing the recycling system and promotion of its laws by considering the recycling economic and environmental values at the highest possible level | Commercialization of environmental resources and lack of recycling system development | Intermediate stage in the commercialization and development of environmental systems | Urban recycling |
Environmental development management through the codification of urban environmental rules and developing the strategies and promotion of urban environmental policy | Anti-environmental development, management through the lack of urban environmental rules | Continuation the current situation | Environmental management |
The creation of sustainable land use patterns with the environmental nature | Instability of the urban environmental land use and their widespread destruction | The creation and development of urban environmental land uses with many shortcomings | Urban land use |
The status of key driving forces in Saqqez urban environment.
Source: Research findings, 2018.
According to the presented results, the reliability of research tool was measured through holding discussion meetings, developing the key assumptions and refining the questionnaire based on the elites’ views. Therefore, it can be easily understood from the findings that the urban environment system in Saqqez city is faced with such a huge volatility that continuation of the current status will lead to the formation of disaster scenarios. In the best situation, if the current process continues, the urban environment will be accompanied by a widespread destruction. According to the cross matrix analysis, variables such as the management, migration, poverty, environmental and so on will be the basic resonator element of system transience in the absence of the correct uses of these variables. The research findings further signify that implementation of the foresight studies in the form of TNS approach can be an effective tool to measure the instability rate of the urban environment system in Saqqez city. According to the different parts of this research, it should be noted that solving the environmental problems of Saqqez city depends on the use of foreseeable approaches in the context of environmental models. Thus, different approaches to the achievement of sustainable urban development model in the urban environment scale will be provided using short-, medium- and long-term strategies, as well as by planning and monitoring the implementation of such strategies. To do this, the fundamental solution to prevent environmental degradation in Saqqez metropolis is to think deeply and to have a commercialization view of the space as well as a sustainable spatial attitude towards long-term sustainable approaches. Based on the results from all extracted data in the analysis process, the value of internal factors (IFE), external factors (EFE) and weaknesses, strengths, opportunities and threat matrix, can be presented as Figure 5. The following propositions are presented as some safe ways:
Preparing the urban environmental strategic plan with attention to the urban nature-oriented approaches
Rebalancing the urban environment’s capacity and the citizen uses
Giving more roles to the citizens for improving the urban environment indicators
Developing local and regional urban recycling centers through long-term plans
Giving more importance to the direct and indirect impacts on the developing environmental scenarios
Trying to achieve the optimal scenarios for effective management of the urban environment
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Liposuction is a procedure to improve the body contour and not a surgery to reduce weight, although recently people who have failed in their plans to lose weight look at liposuction as a means to contour their body figure. Tumescent liposuction of large volumes requires a meticulous selection of each patient; their preoperative evaluation and perioperative management are essential to obtain the expected results. The various techniques of general anesthesia are the most recommended and should be monitored in the usual way, as well as monitoring the total doses of infiltrated local anesthetics to avoid systemic toxicity. The management of intravenous fluids is controversial, but the current trend is the restricted use of hydrosaline solutions. The most feared complications are deep vein thrombosis, pulmonary thromboembolism, fat embolism, lung edema, hypothermia, infections and even death. The adherence to the management guidelines and prophylaxis of venous thrombosis/thromboembolism is mandatory.",book:{id:"6221",slug:"anesthesia-topics-for-plastic-and-reconstructive-surgery",title:"Anesthesia Topics for Plastic and Reconstructive Surgery",fullTitle:"Anesthesia Topics for Plastic and Reconstructive Surgery"},signatures:"Sergio Granados-Tinajero, Carlos Buenrostro-Vásquez, Cecilia\nCárdenas-Maytorena and Marcela Contreras-López",authors:[{id:"273532",title:"Dr.",name:"Sergio Octavio",middleName:null,surname:"Granados Tinajero",slug:"sergio-octavio-granados-tinajero",fullName:"Sergio Octavio Granados Tinajero"}]},{id:"30178",title:"Chest Mobilization Techniques for Improving Ventilation and Gas Exchange in Chronic Lung Disease",slug:"chest-mobilization-techniques-for-improving-ventilation-and-gas-exchange-in-chronic-lung-disease",totalDownloads:31227,totalCrossrefCites:0,totalDimensionsCites:5,abstract:null,book:{id:"648",slug:"chronic-obstructive-pulmonary-disease-current-concepts-and-practice",title:"Chronic Obstructive Pulmonary Disease",fullTitle:"Chronic Obstructive Pulmonary Disease - Current Concepts and Practice"},signatures:"Donrawee Leelarungrayub",authors:[{id:"73709",title:"Associate Prof.",name:"Jirakrit",middleName:null,surname:"Leelarungrayub",slug:"jirakrit-leelarungrayub",fullName:"Jirakrit Leelarungrayub"}]}],onlineFirstChaptersFilter:{topicId:"3",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"83051",title:"Review of Gastroesophageal Reflux Pharmacotherapy Management",slug:"review-of-gastroesophageal-reflux-pharmacotherapy-management",totalDownloads:0,totalDimensionsCites:null,doi:"10.5772/intechopen.106338",abstract:"Acid suppressive therapy (AST) has been the primary mechanism to provide gastroesophageal reflux disease (GERD) symptomatic relief and prevent complications in many individuals with GERD. Many AST options exist, but proton pump inhibitors (PPIs) have developed popularity in symptomatic relief for refractory GERD patients. To help reduce persistent symptoms, the use of AST therapy optimization is imperative and involves timing doses appropriately and increasing the dose and dosing frequency. Recently, more data has become available regarding the safety profile of AST, specifically PPI use. This data has raised awareness about its potential for toxicity with long-term use. 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Chronic stress causes these physical symptoms and emotional symptoms. Due to the awareness created by the media and internet, patients are generally aware that they should seek help immediately for chest pain. Therefore, attention and studies on stress-induced heart dysfunction would help uncover the pathophysiological mechanisms of cardiac response to non-heart diseases and provide an insight of heart-protection drugs. At the same time, physicians should be aware of this new condition and how to diagnose and treat it, even though the causal mechanisms are not yet fully understood. This special chapter will discuss on the cardiac response to the stresses especially on our associated research in recent decades such as Trypanosoma cruzi (T. cruzi)-induced cardiomyopathy and burn injury–induced cardiomyopathy, and on some very popular stresses such as behavior, motion, mental, and smoking.",book:{id:"11739",title:"Cardiovascular Diseases",coverURL:"https://cdn.intechopen.com/books/images_new/11739.jpg"},signatures:"Jake J. Wen and Ravi S. Radhakrishnan"},{id:"83052",title:"Macrophages as a Target for Treating Diabetic Foot Ulcers",slug:"macrophages-as-a-target-for-treating-diabetic-foot-ulcers",totalDownloads:0,totalDimensionsCites:null,doi:"10.5772/intechopen.106613",abstract:"In all stages of wound healing, macrophages play a pivotal role by coordinating the repair steps in a timely and accurate fashion. The successful completion of wound healing requires proper spatiotemporal presence and function of macrophages. Diabetes significantly alters the proliferation, polarization and functionality of macrophages, leading to a suboptimal but prolonged pro-inflammatory M1-like phenotype in wound macrophages and a failure of their late transition to a reparative M2-like phenotype. This defect in macrophage phenotype and the proper transition results in delayed or even failure of wound healing. Specifically in the diabetic foot ulcer (DFUs), this macrophage dysfunction results in chronic infection and potentially amputation. The abnormal macrophage phenotype in diabetes is not fully understood but is believed to mainly result from epigenetic changes in macrophages and altered interactions between macrophages and other cell types, such as fibroblasts, endothelial cells, neutrophils and T-cells. Recent research on DFUs has focused on developing strategies to improve diabetic wound repair through modulation of macrophage polarization. Treatment of DFUs will greatly benefit from a multi-modal therapy that includes controlling high blood glucose, topical support, prevention of secondary infection, resolution of sustained inflammation and application of cellular therapies targeting macrophages.",book:{id:"11855",title:"Diabetic Foot - Recent Advances",coverURL:"https://cdn.intechopen.com/books/images_new/11855.jpg"},signatures:"Lingyan Zhu, Yu Xiao, Yao Xiao, Yinan Jiang, Maha Adama and George K. Gittes"},{id:"83031",title:"Oncological-Therapy-Associated Liver Injuries",slug:"oncological-therapy-associated-liver-injuries",totalDownloads:1,totalDimensionsCites:0,doi:"10.5772/intechopen.106214",abstract:"Drug-induced liver injury (DILI) represents a large group of hepatic disease caused by various treatments, including oncological agents. The liver is an important organ with a role in drug metabolization and excretion and may be affected when oncologic treatment is initiated. The most common liver disease patterns induced by oncologic therapy are steatosis and steatohepatitis, focal nodular hyperplasia, pseudocirrhosis, acute hepatitis, hepatic necrosis, immune-mediated hepatitis, cholestasis, fibrosis and cirrhosis, sinusal obstructive syndrome. In rare cases, chemotherapy treatment is associated with a high-risk hepatic adenoma or hepatocellular carcinoma development. It was demonstrated that the majority of chemotherapy classes can induce these effects on the liver, for example, alkylating agents, antimetabolites, and antitumor antibiotics, but also immunotherapy agents can be involved. The majority of patients that receive oncological treatment who developed liver injury as adverse reactions are identified by symptoms and/or blood test abnormalities. Imaging techniques may be helpful in the diagnosis of oncological-therapy-associated liver injuries, for example, focal nodular hyperplasia, pseudocirrhosis, and sinusal obstructive syndrome. If liver disease occurs as an adverse effect of these agents, the recommendation to stop or continue the administration of oncologic treatment with close monitoring relies upon the risk and benefits of this medication.",book:{id:"11265",title:"Hepatotoxicity",coverURL:"https://cdn.intechopen.com/books/images_new/11265.jpg"},signatures:"Victor-Mihai Sacerdoțianu, Costin-Teodor Streba, Ion Rogoveanu, Liliana Streba and Cristin Constantin Vere"},{id:"81663",title:"Cultural Competence and the Education of CSD Professionals in Times of COVID-19",slug:"cultural-competence-and-the-education-of-csd-professionals-in-times-of-covid-19",totalDownloads:0,totalDimensionsCites:0,doi:"10.5772/intechopen.104649",abstract:"This manuscript aims to discuss the experiences and expectations regarding the cultural competence of Brazilian CSD students and the challenges brought by the COVID-19 pandemic. Cultural awareness has been one of the competencies focused on by CSD programs in Brazil. However, travel and face-to-face contact with persons from different cultures and environments is just one of the possible ways of experiencing cultural awareness. The interruption of these opportunities due to the COVID-19 pandemic did not reduce the interest in learning and improving cultural abilities. It is possible to think about alternatives for embedding discussions and experiences regarding cultural sensitivity in students’ routine studies and practice.",book:{id:"11592",title:"COVID-19 Pandemic, Mental Health and Neuroscience - New Scenarios for Understanding and Treatment",coverURL:"https://cdn.intechopen.com/books/images_new/11592.jpg"},signatures:"Fernanda Dreux M. Fernandes, Maria Vitoria do Amaral and Cibelle La Higuera Amato"},{id:"82671",title:"Atrial Fibrillation in Heart Failure: Rate or Rhythm Control Strategy",slug:"atrial-fibrillation-in-heart-failure-rate-or-rhythm-control-strategy",totalDownloads:0,totalDimensionsCites:0,doi:"10.5772/intechopen.105777",abstract:"Atrial fibrillation and heart failure are intimately related as they shared the same risk factors, unsurprisingly they commonly coexist and complicate each other. Management of atrial fibrillation in heart failure is usually simplified into rate or rhythm control strategy, as each offers its advantages and limitations. Pharmacological rate and rhythm control strategy has been compared for the last decades; however, as more nonpharmacological approach raised as viable option has driven the management strategy discussion even further. On the other hand, heart failure understanding is also evolving and more detailed classification has been made based on left ventricular function. Justification for rate or rhythm control strategy should be individualized predicated on clinical phenotype. Moreover, the chosen strategy should be flexible and can be adjusted if the preferred strategy is ineffective.",book:{id:"11655",title:"Atrial Fibrillation - Diagnosis and Management in the 21st Century",coverURL:"https://cdn.intechopen.com/books/images_new/11655.jpg"},signatures:"Anggia Chairuddin Lubis, Dian Andina Munawar and Muhammad Munawar"}],onlineFirstChaptersTotal:814},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:90,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:33,numberOfPublishedChapters:330,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:14,numberOfPublishedChapters:145,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:9,numberOfPublishedChapters:139,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:122,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:112,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:21,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:10,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:"2753-6580",doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"July 5th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:9,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null},{id:"27",title:"Multi-Agent Systems",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",isOpenForSubmission:!0,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. He has served as guest editor for a number of special issues of peer-reviewed international journals.",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:20,paginationItems:[{id:"82526",title:"Deep Multiagent Reinforcement Learning Methods Addressing the Scalability Challenge",doi:"10.5772/intechopen.105627",signatures:"Theocharis Kravaris and George A. 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Singh",profilePictureURL:"https://mts.intechopen.com/storage/users/329385/images/system/329385.png",institutionString:"Punjab Technical University",institution:{name:"Punjab Technical University",institutionURL:null,country:{name:"India"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"8018",title:"Extracellular Matrix",subtitle:"Developments and Therapeutics",coverURL:"https://cdn.intechopen.com/books/images_new/8018.jpg",slug:"extracellular-matrix-developments-and-therapeutics",publishedDate:"October 27th 2021",editedByType:"Edited by",bookSignature:"Rama Sashank Madhurapantula, Joseph Orgel P.R.O. and Zvi Loewy",hash:"c85e82851e80b40282ff9be99ddf2046",volumeInSeries:23,fullTitle:"Extracellular Matrix - Developments and Therapeutics",editors:[{id:"212416",title:"Dr.",name:"Rama Sashank",middleName:null,surname:"Madhurapantula",slug:"rama-sashank-madhurapantula",fullName:"Rama Sashank Madhurapantula",profilePictureURL:"https://mts.intechopen.com/storage/users/212416/images/system/212416.jpg",institutionString:"Illinois Institute of Technology",institution:{name:"Illinois Institute of Technology",institutionURL:null,country:{name:"United States of America"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},subseriesFiltersForPublishedBooks:[{group:"subseries",caption:"Proteomics",value:18,count:4},{group:"subseries",caption:"Metabolism",value:17,count:6},{group:"subseries",caption:"Cell and Molecular Biology",value:14,count:9},{group:"subseries",caption:"Chemical Biology",value:15,count:14}],publicationYearFilters:[{group:"publicationYear",caption:"2022",value:2022,count:9},{group:"publicationYear",caption:"2021",value:2021,count:7},{group:"publicationYear",caption:"2020",value:2020,count:12},{group:"publicationYear",caption:"2019",value:2019,count:3},{group:"publicationYear",caption:"2018",value:2018,count:2}],authors:{paginationCount:250,paginationItems:[{id:"274452",title:"Dr.",name:"Yousif",middleName:"Mohamed",surname:"Abdallah",slug:"yousif-abdallah",fullName:"Yousif Abdallah",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/274452/images/8324_n.jpg",biography:"I certainly enjoyed my experience in Radiotherapy and Nuclear Medicine, particularly it has been in different institutions and hospitals with different Medical Cultures and allocated resources. Radiotherapy and Nuclear Medicine Technology has always been my aspiration and my life. As years passed I accumulated a tremendous amount of skills and knowledge in Radiotherapy and Nuclear Medicine, Conventional Radiology, Radiation Protection, Bioinformatics Technology, PACS, Image processing, clinically and lecturing that will enable me to provide a valuable service to the community as a Researcher and Consultant in this field. My method of translating this into day to day in clinical practice is non-exhaustible and my habit of exchanging knowledge and expertise with others in those fields is the code and secret of success.",institutionString:null,institution:{name:"Majmaah University",country:{name:"Saudi Arabia"}}},{id:"313277",title:"Dr.",name:"Bartłomiej",middleName:null,surname:"Płaczek",slug:"bartlomiej-placzek",fullName:"Bartłomiej Płaczek",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/313277/images/system/313277.jpg",biography:"Bartłomiej Płaczek, MSc (2002), Ph.D. (2005), Habilitation (2016), is a professor at the University of Silesia, Institute of Computer Science, Poland, and an expert from the National Centre for Research and Development. His research interests include sensor networks, smart sensors, intelligent systems, and image processing with applications in healthcare and medicine. He is the author or co-author of more than seventy papers in peer-reviewed journals and conferences as well as the co-author of several books. He serves as a reviewer for many scientific journals, international conferences, and research foundations. Since 2010, Dr. Placzek has been a reviewer of grants and projects (including EU projects) in the field of information technologies.",institutionString:"University of Silesia",institution:{name:"University of Silesia",country:{name:"Poland"}}},{id:"35000",title:"Prof.",name:"Ulrich H.P",middleName:"H.P.",surname:"Fischer",slug:"ulrich-h.p-fischer",fullName:"Ulrich H.P Fischer",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/35000/images/3052_n.jpg",biography:"Academic and Professional Background\nUlrich H. P. has Diploma and PhD degrees in Physics from the Free University Berlin, Germany. He has been working on research positions in the Heinrich-Hertz-Institute in Germany. Several international research projects has been performed with European partners from France, Netherlands, Norway and the UK. He is currently Professor of Communications Systems at the Harz University of Applied Sciences, Germany.\n\nPublications and Publishing\nHe has edited one book, a special interest book about ‘Optoelectronic Packaging’ (VDE, Berlin, Germany), and has published over 100 papers and is owner of several international patents for WDM over POF key elements.\n\nKey Research and Consulting Interests\nUlrich’s research activity has always been related to Spectroscopy and Optical Communications Technology. Specific current interests include the validation of complex instruments, and the application of VR technology to the development and testing of measurement systems. He has been reviewer for several publications of the Optical Society of America\\'s including Photonics Technology Letters and Applied Optics.\n\nPersonal Interests\nThese include motor cycling in a very relaxed manner and performing martial arts.",institutionString:null,institution:{name:"Charité",country:{name:"Germany"}}},{id:"341622",title:"Ph.D.",name:"Eduardo",middleName:null,surname:"Rojas Alvarez",slug:"eduardo-rojas-alvarez",fullName:"Eduardo Rojas Alvarez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/341622/images/15892_n.jpg",biography:null,institutionString:null,institution:{name:"University of Cuenca",country:{name:"Ecuador"}}},{id:"215610",title:"Prof.",name:"Muhammad",middleName:null,surname:"Sarfraz",slug:"muhammad-sarfraz",fullName:"Muhammad Sarfraz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/215610/images/system/215610.jpeg",biography:"Muhammad Sarfraz is a professor in the Department of Information Science, Kuwait University. His research interests include computer graphics, computer vision, image processing, machine learning, pattern recognition, soft computing, data science, intelligent systems, information technology, and information systems. Prof. Sarfraz has been a keynote/invited speaker on various platforms around the globe. He has advised various students for their MSc and Ph.D. theses. He has published more than 400 publications as books, journal articles, and conference papers. He is a member of various professional societies and a chair and member of the International Advisory Committees and Organizing Committees of various international conferences. Prof. Sarfraz is also an editor-in-chief and editor of various international journals.",institutionString:"Kuwait University",institution:{name:"Kuwait University",country:{name:"Kuwait"}}},{id:"32650",title:"Prof.",name:"Lukas",middleName:"Willem",surname:"Snyman",slug:"lukas-snyman",fullName:"Lukas Snyman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/32650/images/4136_n.jpg",biography:"Lukas Willem Snyman received his basic education at primary and high schools in South Africa, Eastern Cape. He enrolled at today's Nelson Metropolitan University and graduated from this university with a BSc in Physics and Mathematics, B.Sc Honors in Physics, MSc in Semiconductor Physics, and a Ph.D. in Semiconductor Physics in 1987. After his studies, he chose an academic career and devoted his energy to the teaching of physics to first, second, and third-year students. After positions as a lecturer at the University of Port Elizabeth, he accepted a position as Associate Professor at the University of Pretoria, South Africa.\r\n\r\nIn 1992, he motivates the concept of 'television and computer-based education” as means to reach large student numbers with only the best of teaching expertise and publishes an article on the concept in the SA Journal of Higher Education of 1993 (and later in 2003). The University of Pretoria subsequently approved a series of test projects on the concept with outreach to Mamelodi and Eerste Rust in 1993. In 1994, the University established a 'Unit for Telematic Education ' as a support section for multiple faculties at the University of Pretoria. In subsequent years, the concept of 'telematic education” subsequently becomes well established in academic circles in South Africa, grew in popularity, and is adopted by many universities and colleges throughout South Africa as a medium of enhancing education and training, as a method to reaching out to far out communities, and as a means to enhance study from the home environment.\r\n\r\nProfessor Snyman in subsequent years pursued research in semiconductor physics, semiconductor devices, microelectronics, and optoelectronics.\r\n\r\nIn 2000 he joined the TUT as a full professor. Here served for a period as head of the Department of Electronic Engineering. Here he makes contributions to solar energy development, microwave and optoelectronic device development, silicon photonics, as well as contributions to new mobile telecommunication systems and network planning in SA.\r\n\r\nCurrently, he teaches electronics and telecommunications at the TUT to audiences ranging from first-year students to Ph.D. level.\r\n\r\nFor his research in the field of 'Silicon Photonics” since 1990, he has published (as author and co-author) about thirty internationally reviewed articles in scientific journals, contributed to more than forty international conferences, about 25 South African provisional patents (as inventor and co-inventor), 8 PCT international patent applications until now. Of these, two USA patents applications, two European Patents, two Korean patents, and ten SA patents have been granted. A further 4 USA patents, 5 European patents, 3 Korean patents, 3 Chinese patents, and 3 Japanese patents are currently under consideration.\r\n\r\nRecently he has also published an extensive scholarly chapter in an internet open access book on 'Integrating Microphotonic Systems and MOEMS into standard Silicon CMOS Integrated circuitry”.\r\n\r\nFurthermore, Professor Snyman recently steered a new initiative at the TUT by introducing a 'Laboratory for Innovative Electronic Systems ' at the Department of Electrical Engineering. The model of this laboratory or center is to primarily combine outputs as achieved by high-level research with lower-level system development and entrepreneurship in a technical university environment. Students are allocated to projects at different levels with PhDs and Master students allocated to the generation of new knowledge and new technologies, while students at the diploma and Baccalaureus level are allocated to electronic systems development with a direct and a near application for application in industry or the commercial and public sectors in South Africa.\r\n\r\nProfessor Snyman received the WIRSAM Award of 1983 and the WIRSAM Award in 1985 in South Africa for best research papers by a young scientist at two international conferences on electron microscopy in South Africa. He subsequently received the SA Microelectronics Award for the best dissertation emanating from studies executed at a South African university in the field of Physics and Microelectronics in South Africa in 1987. In October of 2011, Professor Snyman received the prestigious Institutional Award for 'Innovator of the Year” for 2010 at the Tshwane University of Technology, South Africa. This award was based on the number of patents recognized and granted by local and international institutions as well as for his contributions concerning innovation at the TUT.",institutionString:null,institution:{name:"University of South Africa",country:{name:"South Africa"}}},{id:"317279",title:"Mr.",name:"Ali",middleName:"Usama",surname:"Syed",slug:"ali-syed",fullName:"Ali Syed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/317279/images/16024_n.png",biography:"A creative, talented, and innovative young professional who is dedicated, well organized, and capable research fellow with two years of experience in graduate-level research, published in engineering journals and book, with related expertise in Bio-robotics, equally passionate about the aesthetics of the mechanical and electronic system, obtained expertise in the use of MS Office, MATLAB, SolidWorks, LabVIEW, Proteus, Fusion 360, having a grasp on python, C++ and assembly language, possess proven ability in acquiring research grants, previous appointments with social and educational societies with experience in administration, current affiliations with IEEE and Web of Science, a confident presenter at conferences and teacher in classrooms, able to explain complex information to audiences of all levels.",institutionString:null,institution:{name:"Air University",country:{name:"Pakistan"}}},{id:"75526",title:"Ph.D.",name:"Zihni Onur",middleName:null,surname:"Uygun",slug:"zihni-onur-uygun",fullName:"Zihni Onur Uygun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/75526/images/12_n.jpg",biography:"My undergraduate education and my Master of Science educations at Ege University and at Çanakkale Onsekiz Mart University have given me a firm foundation in Biochemistry, Analytical Chemistry, Biosensors, Bioelectronics, Physical Chemistry and Medicine. After obtaining my degree as a MSc in analytical chemistry, I started working as a research assistant in Ege University Medical Faculty in 2014. In parallel, I enrolled to the MSc program at the Department of Medical Biochemistry at Ege University to gain deeper knowledge on medical and biochemical sciences as well as clinical chemistry in 2014. In my PhD I deeply researched on biosensors and bioelectronics and finished in 2020. Now I have eleven SCI-Expanded Index published papers, 6 international book chapters, referee assignments for different SCIE journals, one international patent pending, several international awards, projects and bursaries. In parallel to my research assistant position at Ege University Medical Faculty, Department of Medical Biochemistry, in April 2016, I also founded a Start-Up Company (Denosens Biotechnology LTD) by the support of The Scientific and Technological Research Council of Turkey. Currently, I am also working as a CEO in Denosens Biotechnology. The main purposes of the company, which carries out R&D as a research center, are to develop new generation biosensors and sensors for both point-of-care diagnostics; such as glucose, lactate, cholesterol and cancer biomarker detections. My specific experimental and instrumental skills are Biochemistry, Biosensor, Analytical Chemistry, Electrochemistry, Mobile phone based point-of-care diagnostic device, POCTs and Patient interface designs, HPLC, Tandem Mass Spectrometry, Spectrophotometry, ELISA.",institutionString:null,institution:{name:"Ege University",country:{name:"Turkey"}}},{id:"267434",title:"Dr.",name:"Rohit",middleName:null,surname:"Raja",slug:"rohit-raja",fullName:"Rohit Raja",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/267434/images/system/267434.jpg",biography:"Dr. Rohit Raja received Ph.D. in Computer Science and Engineering from Dr. CVRAMAN University in 2016. His main research interest includes Face recognition and Identification, Digital Image Processing, Signal Processing, and Networking. Presently he is working as Associate Professor in IT Department, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur (CG), India. He has authored several Journal and Conference Papers. He has good Academics & Research experience in various areas of CSE and IT. He has filed and successfully published 27 Patents. He has received many time invitations to be a Guest at IEEE Conferences. He has published 100 research papers in various International/National Journals (including IEEE, Springer, etc.) and Proceedings of the reputed International/ National Conferences (including Springer and IEEE). He has been nominated to the board of editors/reviewers of many peer-reviewed and refereed Journals (including IEEE, Springer).",institutionString:"Guru Ghasidas Vishwavidyalaya",institution:{name:"Guru Ghasidas Vishwavidyalaya",country:{name:"India"}}},{id:"246502",title:"Dr.",name:"Jaya T.",middleName:"T",surname:"Varkey",slug:"jaya-t.-varkey",fullName:"Jaya T. Varkey",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246502/images/11160_n.jpg",biography:"Jaya T. Varkey, PhD, graduated with a degree in Chemistry from Cochin University of Science and Technology, Kerala, India. She obtained a PhD in Chemistry from the School of Chemical Sciences, Mahatma Gandhi University, Kerala, India, and completed a post-doctoral fellowship at the University of Minnesota, USA. She is a research guide at Mahatma Gandhi University and Associate Professor in Chemistry, St. Teresa’s College, Kochi, Kerala, India.\nDr. Varkey received a National Young Scientist award from the Indian Science Congress (1995), a UGC Research award (2016–2018), an Indian National Science Academy (INSA) Visiting Scientist award (2018–2019), and a Best Innovative Faculty award from the All India Association for Christian Higher Education (AIACHE) (2019). She Hashas received the Sr. Mary Cecil prize for best research paper three times. She was also awarded a start-up to develop a tea bag water filter. \nDr. Varkey has published two international books and twenty-seven international journal publications. She is an editorial board member for five international journals.",institutionString:"St. Teresa’s College",institution:null},{id:"250668",title:"Dr.",name:"Ali",middleName:null,surname:"Nabipour Chakoli",slug:"ali-nabipour-chakoli",fullName:"Ali Nabipour Chakoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/250668/images/system/250668.jpg",biography:"Academic Qualification:\r\n•\tPhD in Materials Physics and Chemistry, From: Sep. 2006, to: Sep. 2010, School of Materials Science and Engineering, Harbin Institute of Technology, Thesis: Structure and Shape Memory Effect of Functionalized MWCNTs/poly (L-lactide-co-ε-caprolactone) Nanocomposites. Supervisor: Prof. Wei Cai,\r\n•\tM.Sc in Applied Physics, From: 1996, to: 1998, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Determination of Boron in Micro alloy Steels with solid state nuclear track detectors by neutron induced auto radiography, Supervisors: Dr. M. Hosseini Ashrafi and Dr. A. Hosseini.\r\n•\tB.Sc. in Applied Physics, From: 1991, to: 1996, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Design of shielding for Am-Be neutron sources for In Vivo neutron activation analysis, Supervisor: Dr. M. Hosseini Ashrafi.\r\n\r\nResearch Experiences:\r\n1.\tNanomaterials, Carbon Nanotubes, Graphene: Synthesis, Functionalization and Characterization,\r\n2.\tMWCNTs/Polymer Composites: Fabrication and Characterization, \r\n3.\tShape Memory Polymers, Biodegradable Polymers, ORC, Collagen,\r\n4.\tMaterials Analysis and Characterizations: TEM, SEM, XPS, FT-IR, Raman, DSC, DMA, TGA, XRD, GPC, Fluoroscopy, \r\n5.\tInteraction of Radiation with Mater, Nuclear Safety and Security, NDT(RT),\r\n6.\tRadiation Detectors, Calibration (SSDL),\r\n7.\tCompleted IAEA e-learning Courses:\r\nNuclear Security (15 Modules),\r\nNuclear Safety:\r\nTSA 2: Regulatory Protection in Occupational Exposure,\r\nTips & Tricks: Radiation Protection in Radiography,\r\nSafety and Quality in Radiotherapy,\r\nCourse on Sealed Radioactive Sources,\r\nCourse on Fundamentals of Environmental Remediation,\r\nCourse on Planning for Environmental Remediation,\r\nKnowledge Management Orientation Course,\r\nFood Irradiation - Technology, Applications and Good Practices,\r\nEmployment:\r\nFrom 2010 to now: Academic staff, Nuclear Science and Technology Research Institute, Kargar Shomali, Tehran, Iran, P.O. Box: 14395-836.\r\nFrom 1997 to 2006: Expert of Materials Analysis and Characterization. Research Center of Agriculture and Medicine. Rajaeeshahr, Karaj, Iran, P. O. Box: 31585-498.",institutionString:"Atomic Energy Organization of Iran",institution:{name:"Atomic Energy Organization of Iran",country:{name:"Iran"}}},{id:"248279",title:"Dr.",name:"Monika",middleName:"Elzbieta",surname:"Machoy",slug:"monika-machoy",fullName:"Monika Machoy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/248279/images/system/248279.jpeg",biography:"Monika Elżbieta Machoy, MD, graduated with distinction from the Faculty of Medicine and Dentistry at the Pomeranian Medical University in 2009, defended her PhD thesis with summa cum laude in 2016 and is currently employed as a researcher at the Department of Orthodontics of the Pomeranian Medical University. She expanded her professional knowledge during a one-year scholarship program at the Ernst Moritz Arndt University in Greifswald, Germany and during a three-year internship at the Technical University in Dresden, Germany. She has been a speaker at numerous orthodontic conferences, among others, American Association of Orthodontics, European Orthodontic Symposium and numerous conferences of the Polish Orthodontic Society. She conducts research focusing on the effect of orthodontic treatment on dental and periodontal tissues and the causes of pain in orthodontic patients.",institutionString:"Pomeranian Medical University",institution:{name:"Pomeranian Medical University",country:{name:"Poland"}}},{id:"252743",title:"Prof.",name:"Aswini",middleName:"Kumar",surname:"Kar",slug:"aswini-kar",fullName:"Aswini Kar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252743/images/10381_n.jpg",biography:"uploaded in cv",institutionString:null,institution:{name:"KIIT University",country:{name:"India"}}},{id:"204256",title:"Dr.",name:"Anil",middleName:"Kumar",surname:"Kumar Sahu",slug:"anil-kumar-sahu",fullName:"Anil Kumar Sahu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204256/images/14201_n.jpg",biography:"I have nearly 11 years of research and teaching experience. I have done my master degree from University Institute of Pharmacy, Pt. Ravi Shankar Shukla University, Raipur, Chhattisgarh India. I have published 16 review and research articles in international and national journals and published 4 chapters in IntechOpen, the world’s leading publisher of Open access books. I have presented many papers at national and international conferences. I have received research award from Indian Drug Manufacturers Association in year 2015. My research interest extends from novel lymphatic drug delivery systems, oral delivery system for herbal bioactive to formulation optimization.",institutionString:null,institution:{name:"Chhattisgarh Swami Vivekanand Technical University",country:{name:"India"}}},{id:"253468",title:"Dr.",name:"Mariusz",middleName:null,surname:"Marzec",slug:"mariusz-marzec",fullName:"Mariusz Marzec",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/253468/images/system/253468.png",biography:"An assistant professor at Department of Biomedical Computer Systems, at Institute of Computer Science, Silesian University in Katowice. Scientific interests: computer analysis and processing of images, biomedical images, databases and programming languages. He is an author and co-author of scientific publications covering analysis and processing of biomedical images and development of database systems.",institutionString:"University of Silesia",institution:{name:"University of Silesia",country:{name:"Poland"}}},{id:"212432",title:"Prof.",name:"Hadi",middleName:null,surname:"Mohammadi",slug:"hadi-mohammadi",fullName:"Hadi Mohammadi",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/212432/images/system/212432.jpeg",biography:"Dr. Hadi Mohammadi is a biomedical engineer with hands-on experience in the design and development of many engineering structures and medical devices through various projects that he has been involved in over the past twenty years. Dr. Mohammadi received his BSc. and MSc. degrees in Mechanical Engineering from Sharif University of Technology, Tehran, Iran, and his PhD. degree in Biomedical Engineering (biomaterials) from the University of Western Ontario. He was a postdoctoral trainee for almost four years at University of Calgary and Harvard Medical School. He is an industry innovator having created the technology to produce lifelike synthetic platforms that can be used for the simulation of almost all cardiovascular reconstructive surgeries. He’s been heavily involved in the design and development of cardiovascular devices and technology for the past 10 years. He is currently an Assistant Professor with the University of British Colombia, Canada.",institutionString:"University of British Columbia",institution:{name:"University of British Columbia",country:{name:"Canada"}}},{id:"254463",title:"Prof.",name:"Haisheng",middleName:null,surname:"Yang",slug:"haisheng-yang",fullName:"Haisheng Yang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/254463/images/system/254463.jpeg",biography:"Haisheng Yang, Ph.D., Professor and Director of the Department of Biomedical Engineering, College of Life Science and Bioengineering, Beijing University of Technology. He received his Ph.D. degree in Mechanics/Biomechanics from Harbin Institute of Technology (jointly with University of California, Berkeley). Afterwards, he worked as a Postdoctoral Research Associate in the Purdue Musculoskeletal Biology and Mechanics Lab at the Department of Basic Medical Sciences, Purdue University, USA. He also conducted research in the Research Centre of Shriners Hospitals for Children-Canada at McGill University, Canada. Dr. Yang has over 10 years research experience in orthopaedic biomechanics and mechanobiology of bone adaptation and regeneration. He earned an award from Beijing Overseas Talents Aggregation program in 2017 and serves as Beijing Distinguished Professor.",institutionString:null,institution:{name:"Beijing University of Technology",country:{name:"China"}}},{id:"89721",title:"Dr.",name:"Mehmet",middleName:"Cuneyt",surname:"Ozmen",slug:"mehmet-ozmen",fullName:"Mehmet Ozmen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/89721/images/7289_n.jpg",biography:null,institutionString:null,institution:{name:"Gazi University",country:{name:"Turkey"}}},{id:"265335",title:"Mr.",name:"Stefan",middleName:"Radnev",surname:"Stefanov",slug:"stefan-stefanov",fullName:"Stefan Stefanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/265335/images/7562_n.jpg",biography:null,institutionString:null,institution:{name:"Medical University Plovdiv",country:{name:"Bulgaria"}}},{id:"242893",title:"Ph.D. Student",name:"Joaquim",middleName:null,surname:"De Moura",slug:"joaquim-de-moura",fullName:"Joaquim De Moura",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/242893/images/7133_n.jpg",biography:"Joaquim de Moura received his degree in Computer Engineering in 2014 from the University of A Coruña (Spain). In 2016, he received his M.Sc degree in Computer Engineering from the same university. He is currently pursuing his Ph.D degree in Computer Science in a collaborative project between ophthalmology centers in Galicia and the University of A Coruña. His research interests include computer vision, machine learning algorithms and analysis and medical imaging processing of various kinds.",institutionString:null,institution:{name:"University of A Coruña",country:{name:"Spain"}}},{id:"294334",title:"B.Sc.",name:"Marc",middleName:null,surname:"Bruggeman",slug:"marc-bruggeman",fullName:"Marc Bruggeman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/294334/images/8242_n.jpg",biography:"Chemical engineer graduate, with a passion for material science and specific interest in polymers - their near infinite applications intrigue me. \n\nI plan to continue my scientific career in the field of polymeric biomaterials as I am fascinated by intelligent, bioactive and biomimetic materials for use in both consumer and medical applications.",institutionString:null,institution:null},{id:"255757",title:"Dr.",name:"Igor",middleName:"Victorovich",surname:"Lakhno",slug:"igor-lakhno",fullName:"Igor Lakhno",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255757/images/system/255757.jpg",biography:"Igor Victorovich Lakhno was born in 1971 in Kharkiv (Ukraine). \nMD – 1994, Kharkiv National Medical Univesity.\nOb&Gyn; – 1997, master courses in Kharkiv Medical Academy of Postgraduate Education.\nPh.D. – 1999, Kharkiv National Medical Univesity.\nDSC – 2019, PL Shupik National Academy of Postgraduate Education \nProfessor – 2021, Department of Obstetrics and Gynecology of VN Karazin Kharkiv National University\nHead of Department – 2021, Department of Perinatology, Obstetrics and gynecology of Kharkiv Medical Academy of Postgraduate Education\nIgor Lakhno has been graduated from international training courses on reproductive medicine and family planning held at Debrecen University (Hungary) in 1997. Since 1998 Lakhno Igor has worked as an associate professor in the department of obstetrics and gynecology of VN Karazin National University and an associate professor of the perinatology, obstetrics, and gynecology department of Kharkiv Medical Academy of Postgraduate Education. Since June 2019 he’s been a professor in the department of obstetrics and gynecology of VN Karazin National University and a professor of the perinatology, obstetrics, and gynecology department. He’s affiliated with Kharkiv Medical Academy of Postgraduate Education as a Head of Department from November 2021. Igor Lakhno has participated in several international projects on fetal non-invasive electrocardiography (with Dr. J. A. Behar (Technion), Prof. D. Hoyer (Jena University), and José Alejandro Díaz Méndez (National Institute of Astrophysics, Optics, and Electronics, Mexico). He’s an author of about 200 printed works and there are 31 of them in Scopus or Web of Science databases. Igor Lakhno is a member of the Editorial Board of Reproductive Health of Woman, Emergency Medicine, and Technology Transfer Innovative Solutions in Medicine (Estonia). He is a medical Editor of “Z turbotoyu pro zhinku”. Igor Lakhno is a reviewer of the Journal of Obstetrics and Gynaecology (Taylor and Francis), British Journal of Obstetrics and Gynecology (Wiley), Informatics in Medicine Unlocked (Elsevier), The Journal of Obstetrics and Gynecology Research (Wiley), Endocrine, Metabolic & Immune Disorders-Drug Targets (Bentham Open), The Open Biomedical Engineering Journal (Bentham Open), etc. He’s defended a dissertation for a DSc degree “Pre-eclampsia: prediction, prevention, and treatment”. Three years ago Igor Lakhno has participated in a training course on innovative technologies in medical education at Lublin Medical University (Poland). Lakhno Igor has participated as a speaker in several international conferences and congresses (International Conference on Biological Oscillations April 10th-14th 2016, Lancaster, UK, The 9th conference of the European Study Group on Cardiovascular Oscillations). His main scientific interests: are obstetrics, women’s health, fetal medicine, and cardiovascular medicine. \nIgor Lakhno is a consultant at Kharkiv municipal perinatal center. He’s graduated from training courses on endoscopy in gynecology. He has 28 years of practical experience in the field.",institutionString:null,institution:null},{id:"244950",title:"Dr.",name:"Salvatore",middleName:null,surname:"Di Lauro",slug:"salvatore-di-lauro",fullName:"Salvatore Di Lauro",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0030O00002bSF1HQAW/ProfilePicture%202021-12-20%2014%3A54%3A14.482",biography:"Name:\n\tSALVATORE DI LAURO\nAddress:\n\tHospital Clínico Universitario Valladolid\nAvda Ramón y Cajal 3\n47005, Valladolid\nSpain\nPhone number: \nFax\nE-mail:\n\t+34 983420000 ext 292\n+34 983420084\nsadilauro@live.it\nDate and place of Birth:\nID Number\nMedical Licence \nLanguages\t09-05-1985. Villaricca (Italy)\n\nY1281863H\n474707061\nItalian (native language)\nSpanish (read, written, spoken)\nEnglish (read, written, spoken)\nPortuguese (read, spoken)\nFrench (read)\n\t\t\nCurrent position (title and company)\tDate (Year)\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. Private practise.\t2017-today\n\n2019-today\n\t\n\t\nEducation (High school, university and postgraduate training > 3 months)\tDate (Year)\nDegree in Medicine and Surgery. University of Neaples 'Federico II”\nResident in Opthalmology. Hospital Clinico Universitario Valladolid\nMaster in Vitreo-Retina. IOBA. University of Valladolid\nFellow of the European Board of Ophthalmology. Paris\nMaster in Research in Ophthalmology. University of Valladolid\t2003-2009\n2012-2016\n2016-2017\n2016\n2012-2013\n\t\nEmployments (company and positions)\tDate (Year)\nResident in Ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl.\nFellow in Vitreo-Retina. IOBA. University of Valladolid\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. \n\t2012-2016\n2016-2017\n2017-today\n\n2019-Today\n\n\n\t\nClinical Research Experience (tasks and role)\tDate (Year)\nAssociated investigator\n\n' FIS PI20/00740: DESARROLLO DE UNA CALCULADORA DE RIESGO DE\nAPARICION DE RETINOPATIA DIABETICA BASADA EN TECNICAS DE IMAGEN MULTIMODAL EN PACIENTES DIABETICOS TIPO 1. Grant by: Ministerio de Ciencia e Innovacion \n\n' (BIO/VA23/14) Estudio clínico multicéntrico y prospectivo para validar dos\nbiomarcadores ubicados en los genes p53 y MDM2 en la predicción de los resultados funcionales de la cirugía del desprendimiento de retina regmatógeno. Grant by: Gerencia Regional de Salud de la Junta de Castilla y León.\n' Estudio multicéntrico, aleatorizado, con enmascaramiento doble, en 2 grupos\nparalelos y de 52 semanas de duración para comparar la eficacia, seguridad e inmunogenicidad de SOK583A1 respecto a Eylea® en pacientes con degeneración macular neovascular asociada a la edad' (CSOK583A12301; N.EUDRA: 2019-004838-41; FASE III). Grant by Hexal AG\n\n' Estudio de fase III, aleatorizado, doble ciego, con grupos paralelos, multicéntrico para comparar la eficacia y la seguridad de QL1205 frente a Lucentis® en pacientes con degeneración macular neovascular asociada a la edad. (EUDRACT: 2018-004486-13). Grant by Qilu Pharmaceutical Co\n\n' Estudio NEUTON: Ensayo clinico en fase IV para evaluar la eficacia de aflibercept en pacientes Naive con Edema MacUlar secundario a Oclusion de Vena CenTral de la Retina (OVCR) en regimen de tratamientO iNdividualizado Treat and Extend (TAE)”, (2014-000975-21). Grant by Fundacion Retinaplus\n\n' Evaluación de la seguridad y bioactividad de anillos de tensión capsular en conejo. Proyecto Procusens. Grant by AJL, S.A.\n\n'Estudio epidemiológico, prospectivo, multicéntrico y abierto\\npara valorar la frecuencia de la conjuntivitis adenovírica diagnosticada mediante el test AdenoPlus®\\nTest en pacientes enfermos de conjuntivitis aguda”\\n. National, multicenter study. Grant by: NICOX.\n\nEuropean multicentric trial: 'Evaluation of clinical outcomes following the use of Systane Hydration in patients with dry eye”. Study Phase 4. Grant by: Alcon Labs'\n\nVLPs Injection and Activation in a Rabbit Model of Uveal Melanoma. Grant by Aura Bioscience\n\nUpdating and characterization of a rabbit model of uveal melanoma. Grant by Aura Bioscience\n\nEnsayo clínico en fase IV para evaluar las variantes genéticas de la vía del VEGF como biomarcadores de eficacia del tratamiento con aflibercept en pacientes con degeneración macular asociada a la edad (DMAE) neovascular. Estudio BIOIMAGE. IMO-AFLI-2013-01\n\nEstudio In-Eye:Ensayo clínico en fase IV, abierto, aleatorizado, de 2 brazos,\nmulticçentrico y de 12 meses de duración, para evaluar la eficacia y seguridad de un régimen de PRN flexible individualizado de 'esperar y extender' versus un régimen PRN según criterios de estabilización mediante evaluaciones mensuales de inyecciones intravítreas de ranibizumab 0,5 mg en pacientes naive con neovascularización coriodea secunaria a la degeneración macular relacionada con la edad. CP: CRFB002AES03T\n\nTREND: Estudio Fase IIIb multicéntrico, randomizado, de 12 meses de\nseguimiento con evaluador de la agudeza visual enmascarado, para evaluar la eficacia y la seguridad de ranibizumab 0.5mg en un régimen de tratar y extender comparado con un régimen mensual, en pacientes con degeneración macular neovascular asociada a la edad. CP: CRFB002A2411 Código Eudra CT:\n2013-002626-23\n\n\n\nPublications\t\n\n2021\n\n\n\n\n2015\n\n\n\n\n2021\n\n\n\n\n\n2021\n\n\n\n\n2015\n\n\n\n\n2015\n\n\n2014\n\n\n\n\n2015-16\n\n\n\n2015\n\n\n2014\n\n\n2014\n\n\n\n\n2014\n\n\n\n\n\n\n\n2014\n\nJose Carlos Pastor; Jimena Rojas; Salvador Pastor-Idoate; Salvatore Di Lauro; Lucia Gonzalez-Buendia; Santiago Delgado-Tirado. Proliferative vitreoretinopathy: A new concept of disease pathogenesis and practical\nconsequences. Progress in Retinal and Eye Research. 51, pp. 125 - 155. 03/2016. DOI: 10.1016/j.preteyeres.2015.07.005\n\n\nLabrador-Velandia S; Alonso-Alonso ML; Di Lauro S; García-Gutierrez MT; Srivastava GK; Pastor JC; Fernandez-Bueno I. Mesenchymal stem cells provide paracrine neuroprotective resources that delay degeneration of co-cultured organotypic neuroretinal cultures.Experimental Eye Research. 185, 17/05/2019. DOI: 10.1016/j.exer.2019.05.011\n\nSalvatore Di Lauro; Maria Teresa Garcia Gutierrez; Ivan Fernandez Bueno. Quantification of pigment epithelium-derived factor (PEDF) in an ex vivo coculture of retinal pigment epithelium cells and neuroretina.\nJournal of Allbiosolution. 2019. ISSN 2605-3535\n\nSonia Labrador Velandia; Salvatore Di Lauro; Alonso-Alonso ML; Tabera Bartolomé S; Srivastava GK; Pastor JC; Fernandez-Bueno I. Biocompatibility of intravitreal injection of human mesenchymal stem cells in immunocompetent rabbits. Graefe's archive for clinical and experimental ophthalmology. 256 - 1, pp. 125 - 134. 01/2018. DOI: 10.1007/s00417-017-3842-3\n\n\nSalvatore Di Lauro, David Rodriguez-Crespo, Manuel J Gayoso, Maria T Garcia-Gutierrez, J Carlos Pastor, Girish K Srivastava, Ivan Fernandez-Bueno. A novel coculture model of porcine central neuroretina explants and retinal pigment epithelium cells. Molecular Vision. 2016 - 22, pp. 243 - 253. 01/2016.\n\nSalvatore Di Lauro. Classifications for Proliferative Vitreoretinopathy ({PVR}): An Analysis of Their Use in Publications over the Last 15 Years. Journal of Ophthalmology. 2016, pp. 1 - 6. 01/2016. DOI: 10.1155/2016/7807596\n\nSalvatore Di Lauro; Rosa Maria Coco; Rosa Maria Sanabria; Enrique Rodriguez de la Rua; Jose Carlos Pastor. Loss of Visual Acuity after Successful Surgery for Macula-On Rhegmatogenous Retinal Detachment in a Prospective Multicentre Study. Journal of Ophthalmology. 2015:821864, 2015. DOI: 10.1155/2015/821864\n\nIvan Fernandez-Bueno; Salvatore Di Lauro; Ivan Alvarez; Jose Carlos Lopez; Maria Teresa Garcia-Gutierrez; Itziar Fernandez; Eva Larra; Jose Carlos Pastor. Safety and Biocompatibility of a New High-Density Polyethylene-Based\nSpherical Integrated Porous Orbital Implant: An Experimental Study in Rabbits. Journal of Ophthalmology. 2015:904096, 2015. DOI: 10.1155/2015/904096\n\nPastor JC; Pastor-Idoate S; Rodríguez-Hernandez I; Rojas J; Fernandez I; Gonzalez-Buendia L; Di Lauro S; Gonzalez-Sarmiento R. Genetics of PVR and RD. Ophthalmologica. 232 - Suppl 1, pp. 28 - 29. 2014\n\nRodriguez-Crespo D; Di Lauro S; Singh AK; Garcia-Gutierrez MT; Garrosa M; Pastor JC; Fernandez-Bueno I; Srivastava GK. Triple-layered mixed co-culture model of RPE cells with neuroretina for evaluating the neuroprotective effects of adipose-MSCs. Cell Tissue Res. 358 - 3, pp. 705 - 716. 2014.\nDOI: 10.1007/s00441-014-1987-5\n\nCarlo De Werra; Salvatore Condurro; Salvatore Tramontano; Mario Perone; Ivana Donzelli; Salvatore Di Lauro; Massimo Di Giuseppe; Rosa Di Micco; Annalisa Pascariello; Antonio Pastore; Giorgio Diamantis; Giuseppe Galloro. Hydatid disease of the liver: thirty years of surgical experience.Chirurgia italiana. 59 - 5, pp. 611 - 636.\n(Italia): 2007. ISSN 0009-4773\n\nChapters in books\n\t\n' Salvador Pastor Idoate; Salvatore Di Lauro; Jose Carlos Pastor Jimeno. PVR: Pathogenesis, Histopathology and Classification. Proliferative Vitreoretinopathy with Small Gauge Vitrectomy. Springer, 2018. ISBN 978-3-319-78445-8\nDOI: 10.1007/978-3-319-78446-5_2. \n\n' Salvatore Di Lauro; Maria Isabel Lopez Galvez. Quistes vítreos en una mujer joven. Problemas diagnósticos en patología retinocoroidea. Sociedad Española de Retina-Vitreo. 2018.\n\n' Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor Jimeno. iOCT in PVR management. OCT Applications in Opthalmology. pp. 1 - 8. INTECH, 2018. DOI: 10.5772/intechopen.78774.\n\n' Rosa Coco Martin; Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor. amponadores, manipuladores y tinciones en la cirugía del traumatismo ocular.Trauma Ocular. Ponencia de la SEO 2018..\n\n' LOPEZ GALVEZ; DI LAURO; CRESPO. OCT angiografia y complicaciones retinianas de la diabetes. PONENCIA SEO 2021, CAPITULO 20. (España): 2021.\n\n' Múltiples desprendimientos neurosensoriales bilaterales en paciente joven. Enfermedades Degenerativas De Retina Y Coroides. SERV 04/2016. \n' González-Buendía L; Di Lauro S; Pastor-Idoate S; Pastor Jimeno JC. Vitreorretinopatía proliferante (VRP) e inflamación: LA INFLAMACIÓN in «INMUNOMODULADORES Y ANTIINFLAMATORIOS: MÁS ALLÁ DE LOS CORTICOIDES. RELACION DE PONENCIAS DE LA SOCIEDAD ESPAÑOLA DE OFTALMOLOGIA. 10/2014.",institutionString:null,institution:null},{id:"243698",title:"Dr.",name:"Xiaogang",middleName:null,surname:"Wang",slug:"xiaogang-wang",fullName:"Xiaogang Wang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/243698/images/system/243698.png",biography:"Dr. Xiaogang Wang, a faculty member of Shanxi Eye Hospital specializing in the treatment of cataract and retinal disease and a tutor for postgraduate students of Shanxi Medical University, worked in the COOL Lab as an international visiting scholar under the supervision of Dr. David Huang and Yali Jia from October 2012 through November 2013. Dr. Wang earned an MD from Shanxi Medical University and a Ph.D. from Shanghai Jiao Tong University. Dr. Wang was awarded two research project grants focused on multimodal optical coherence tomography imaging and deep learning in cataract and retinal disease, from the National Natural Science Foundation of China. He has published around 30 peer-reviewed journal papers and four book chapters and co-edited one book.",institutionString:null,institution:null},{id:"7227",title:"Dr.",name:"Hiroaki",middleName:null,surname:"Matsui",slug:"hiroaki-matsui",fullName:"Hiroaki Matsui",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Tokyo",country:{name:"Japan"}}},{id:"312999",title:"Dr.",name:"Bernard O.",middleName:null,surname:"Asimeng",slug:"bernard-o.-asimeng",fullName:"Bernard O. Asimeng",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Ghana",country:{name:"Ghana"}}},{id:"318905",title:"Prof.",name:"Elvis",middleName:"Kwason",surname:"Tiburu",slug:"elvis-tiburu",fullName:"Elvis Tiburu",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Ghana",country:{name:"Ghana"}}},{id:"336193",title:"Dr.",name:"Abdullah",middleName:null,surname:"Alamoudi",slug:"abdullah-alamoudi",fullName:"Abdullah Alamoudi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Majmaah University",country:{name:"Saudi Arabia"}}},{id:"318657",title:"MSc.",name:"Isabell",middleName:null,surname:"Steuding",slug:"isabell-steuding",fullName:"Isabell Steuding",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Harz University of Applied Sciences",country:{name:"Germany"}}},{id:"318656",title:"BSc.",name:"Peter",middleName:null,surname:"Kußmann",slug:"peter-kussmann",fullName:"Peter Kußmann",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Harz University of Applied Sciences",country:{name:"Germany"}}}]}},subseries:{item:{id:"25",type:"subseries",title:"Evolutionary Computation",keywords:"Genetic Algorithms, Genetic Programming, Evolutionary Programming, Evolution Strategies, Hybrid Algorithms, Bioinspired Metaheuristics, Ant Colony Optimization, Evolutionary Learning, Hyperparameter Optimization",scope:"Evolutionary computing is a paradigm that has grown dramatically in recent years. This group of bio-inspired metaheuristics solves multiple optimization problems by applying the metaphor of natural selection. It so far has solved problems such as resource allocation, routing, schedule planning, and engineering design. Moreover, in the field of machine learning, evolutionary computation has carved out a significant niche both in the generation of learning models and in the automatic design and optimization of hyperparameters in deep learning models. This collection aims to include quality volumes on various topics related to evolutionary algorithms and, alternatively, other metaheuristics of interest inspired by nature. For example, some of the issues of interest could be the following: Advances in evolutionary computation (Genetic algorithms, Genetic programming, Bio-inspired metaheuristics, Hybrid metaheuristics, Parallel ECs); Applications of evolutionary algorithms (Machine learning and Data Mining with EAs, Search-Based Software Engineering, Scheduling, and Planning Applications, Smart Transport Applications, Applications to Games, Image Analysis, Signal Processing and Pattern Recognition, Applications to Sustainability).",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",hasOnlineFirst:!1,hasPublishedBooks:!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,series:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403"},editorialBoard:[{id:"111683",title:"Prof.",name:"Elmer P.",middleName:"P.",surname:"Dadios",slug:"elmer-p.-dadios",fullName:"Elmer P. 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