The importance of the bioeconomy in Spain in 2015, by sector [3].
\\n\\n
\\n"}]',published:!0,mainMedia:{caption:"Milestone",originalUrl:"/media/original/124"}},components:[{type:"htmlEditorComponent",content:'
Barely three months into the new year and we are happy to announce a monumental milestone reached - 150 million downloads.
\n\nThis achievement solidifies IntechOpen’s place as a pioneer in Open Access publishing and the home to some of the most relevant scientific research available through Open Access.
\n\nWe are so proud to have worked with so many bright minds throughout the years who have helped us spread knowledge through the power of Open Access and we look forward to continuing to support some of the greatest thinkers of our day.
\n\nThank you for making IntechOpen your place of learning, sharing, and discovery, and here’s to 150 million more!
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Since DES is a technique applied in incredibly different areas, this book reflects many different points of view about DES, thus, all authors describe how it is understood and applied within their context of work, providing an extensive understanding of what DES is. It can be said that the name of the book itself reflects the plurality that these points of view represent.\r\nThe book embraces a number of topics covering theory, methods and applications to a wide range of sectors and problem areas that have been categorised into five groups.\r\n\r\nAs well as the previously explained variety of points of view concerning DES, there is one additional thing to remark about this book: its richness when talking about actual data or actual data based analysis. When most academic areas are lacking application cases, roughly the half part of the chapters included in this book deal with actual problems or at least are based on actual data. Thus, the editor firmly believes that this book will be interesting for both beginners and practitioners in the area of DES.",isbn:null,printIsbn:"978-953-307-115-2",pdfIsbn:"978-953-51-5936-0",doi:"10.5772/257",price:139,priceEur:155,priceUsd:179,slug:"discrete-event-simulations",numberOfPages:340,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"e9f24c7c9f97e73f3045a0f71a760745",bookSignature:"Aitor Goti",publishedDate:"August 18th 2010",coverURL:"https://cdn.intechopen.com/books/images_new/3756.jpg",numberOfDownloads:49995,numberOfWosCitations:29,numberOfCrossrefCitations:21,numberOfCrossrefCitationsByBook:6,numberOfDimensionsCitations:38,numberOfDimensionsCitationsByBook:6,hasAltmetrics:0,numberOfTotalCitations:88,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 22nd 2013",dateEndSecondStepPublish:"June 12th 2013",dateEndThirdStepPublish:"September 16th 2013",dateEndFourthStepPublish:"December 15th 2013",dateEndFifthStepPublish:"January 14th 2014",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"10806",title:"Dr.",name:"Aitor",middleName:null,surname:"Goti",slug:"aitor-goti",fullName:"Aitor Goti",profilePictureURL:"https://mts.intechopen.com/storage/users/10806/images/system/10806.jpg",biography:"Aitor Goti Elordi is Engineer in Industrial Management from Mondragon University and Ph.D. from Politechnic University of Valencia. He is currently lecturer at the University of Deusto, where he teaches in the Bilbao campus. His teaching focuses on the degrees of the department of Industrial Technologies and the double degree in Business administration plus Engineering. Specifically, he teaches Business Administration (Basque and Spanish), Management of processes via ERP information systems, Industrial Organization, Economics and Technical Office (English and Spanish). His publications are focused mainly with Industrial Organization. He belongs to the Industrial Management and Logistics research group, recognized as group by the University since 2002. Other interest areas of research are: Maintenance, Operations, Discrete Event Simulation, ERP, BIG DATA.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"1",institution:null}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"599",title:"Computer Simulation",slug:"numerical-analysis-and-scientific-computing-computer-simulation"}],chapters:[{id:"11536",title:"Discrete Event Simulation: State of the Art",doi:"10.5772/9894",slug:"discrete-event-simulation-state-of-the-art",totalDownloads:5493,totalCrossrefCites:8,totalDimensionsCites:15,hasAltmetrics:0,abstract:null,signatures:"Eduard Babulak and Ming Wang",downloadPdfUrl:"/chapter/pdf-download/11536",previewPdfUrl:"/chapter/pdf-preview/11536",authors:[null],corrections:null},{id:"11537",title:"A Dynamically Configurable Discrete Event Simulation Framework for Many-Core Chip Multiprocessors",doi:"10.5772/9895",slug:"a-dynamically-configurable-discrete-event-simulation-framework-for-many-core-chip-multiprocessors",totalDownloads:2743,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Jaehwan Lee and Christopher Barnes",downloadPdfUrl:"/chapter/pdf-download/11537",previewPdfUrl:"/chapter/pdf-preview/11537",authors:[null],corrections:null},{id:"11538",title:"Modeling Methods Based on Discrete Algebraic Systems",doi:"10.5772/intechopen.83876",slug:"modeling-methods-based-on-discrete-algebraic-systems",totalDownloads:1455,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Hiroyuki Goto",downloadPdfUrl:"/chapter/pdf-download/11538",previewPdfUrl:"/chapter/pdf-preview/11538",authors:[null],corrections:null},{id:"11539",title:"Supply Chain Design: Guidelines from a Simulation 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Since systems used in the production of goods and deliveries of services constitute the vast portion of capital in most industries, maintenance of such systems is crucial (Oyarbide-Zubillaga, Goti, & Sánchez 2008). Several studies compiled by Mjema (2002) show that maintenance costs represent from 3 to 40 % out of the total product cost (with an average value of a 28%). Within maintenance, the Condition-Based Maintenance (CBM) techniques are very important. Nevertheless, and comparing it to the Preventive Maintenance (PM) optimization problem, relatively few papers related to CBM have been developed: According to Aven (1996), one of the reasons to justify this fact is that CBM models are usually by its nature rather sophisticated compared to the more traditional replacement models. Within this maintenance strategy, Das & Sarkar (1999) distinguish two CBM subtypes, On-Condition Maintenance (OCM) and Condition Monitoring (CMT). OCM is based on periodic inspections, while CMT performs a continuous monitoring on the hardware through instrumentation. Considering the described context, this paper focuses on the problem of CMT optimisation in a manufacturing environment, with the objective of determining the optimal CMT deterioration levels beyond which PM activities should be applied under cost and profit criteria in a multi-equipment system. The initiative considers the interaction of production, work in process material, quality and maintenance aspects. In this work the suitability of discrete event simulation to model or modify complex system models is combined with the aptitude that multiobjective evolutionary algorithms have shown to deal with multiobjective problems to develop a maintenance management and optimisation approach. An application case where the activities applied on a system that produces hubcaps for the car maker industry is performed, showing the quantitative benefits of adopting the detailed approach.",signatures:"Aitor Goti and Alvaro Garcia",downloadPdfUrl:"/chapter/pdf-download/11545",previewPdfUrl:"/chapter/pdf-preview/11545",authors:[null],corrections:null},{id:"11546",title:"Advanced Discrete Event Simulation Methods with Application to Importance Measure Estimation in Reliability",doi:"10.5772/9901",slug:"advanced-discrete-event-simulation-methods-with-application-to-importance-measure-estimation-in-reli",totalDownloads:1916,totalCrossrefCites:3,totalDimensionsCites:6,hasAltmetrics:0,abstract:null,signatures:"Arne Huseby, Kristina Skutlaberg, Stefan Isaksen, Bent Natvig and Jørund Gasemyr",downloadPdfUrl:"/chapter/pdf-download/11546",previewPdfUrl:"/chapter/pdf-preview/11546",authors:[null],corrections:null},{id:"11547",title:"Agent-Based Modeling and Simulation of Network Infrastructure Cyber-Attacks and Cooperative Defense Mechanisms",doi:"10.5772/46961",slug:"agent-based-modeling-and-simulation-of-network-infrastructure-cyber-attacks-and-cooperative-defense-",totalDownloads:3159,totalCrossrefCites:4,totalDimensionsCites:8,hasAltmetrics:0,abstract:null,signatures:"Igor Kotenko",downloadPdfUrl:"/chapter/pdf-download/11547",previewPdfUrl:"/chapter/pdf-preview/11547",authors:[null],corrections:null},{id:"11548",title:"Wireless Sensor Networks: Modelling and Simulation",doi:"10.5772/9902",slug:"wireless-sensor-networks-modelling-and-simulation",totalDownloads:5075,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:null,signatures:"Stefan Mahlknecht, Sajjad A. 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However, technological advances mean that—in addition to the production of food, forest products, textiles, and energy—such resources can now be exploited to obtain extracts or active compounds for use in nutrition and pharmacology as well as diverse biocompounds, such as bioplastics and biofuels.
\nThe European Union (EU) approved its bioeconomy Strategy in 2012, driven by the General Research Directorate of the European Commission. One of its objectives was to stimulate the development of a national strategy in each member state, adapting the objectives and lines of work to the particular conditions, singularities, and specifications of each country. In Spain, the Bioeconomy Strategy was launched at the start of 2016. This considers the use of science and knowledge as an essential element, while attempting to meet the challenges presented in each of the socioeconomic sectors related to the production and utilization of resources with a biological origin.
\nThe Spanish Bioeconomy Strategy defines the bioeconomy as the whole of the economic activities that provide goods and services, and thus generate economic value, through the use, as fundamental elements, of resources of biological origin in an efficient and sustainable manner. As recognized in this Strategy, and in our context, the objective is the production and commercialization of foodstuffs, forest products, bioproducts, and bioenergy, obtained by means of physical, chemical, biochemical, or biological transformations of the organic materials not destined for human or animal consumption. It is implicit that this should involve processes that are respectful of both the environment and the development of rural communities.
\nIn this chapter, we analyze the possibilities for the bioeconomy in Spain. We describe the sectors that currently form part of it and the challenges that, from our perspective, it must meet, as well as stressing the need to incorporate technology based on the generation of knowledge and innovation. Then, we focus on the Spanish Bioeconomy Strategy, describing its genesis and the elements essential to it, before finishing with an explanation of the activity of the Spanish Observatory of the Bioeconomy, an instrument vital to the development of the bioeconomy in Spain.
\nThe development of the Spanish Bioeconomy Strategy involved the economic characterization of the sectors that constitute the bioeconomy. It was not an easy task due to the absence of the necessary series of statistical data. This led to the accumulation of data from diverse sources; in some cases, they were obtained directly from the different sectorial administrations and in others from the different economic sectors themselves. Based on this, the bioeconomy in Spain represented 6.5% of the gross domestic product (GDP) in 2015, employing around 9% of the economically active population [1].
\nThe report on the bioeconomy in the EU presented by the Joint Research Center for the year 2016 [2] mentions the difficulty faced in collecting the statistics for the economic and employment data related to this activity in Europe. However, it includes information from the official statistics of the relevant sectors: agriculture, forestry, fishing and fish farming, food processing, drinks, tobacco, the production of textiles of biological origin, the production of wood products and furniture, the production and processing of paper and paper-derived materials, the synthesis of chemical compounds, pharmaceuticals, plastics and gums from biological resources, the production of liquid biofuels, and the generation of electricity.
\nTaken together, in 2015, these activities employ 18.6 million people in the EU and have an economic value of 2200 M€, which represents around 9% of the total economy of the EU. The agri-food sector accounts for around three-quarters of this employment and two-thirds of the economic value [3, 4]. Using the data from the report, in 2016, the Spanish bioeconomy represented 8.6% of the total economic value of this sector in the EU, and 7.1% of the jobs. Based on the statistical analyses of the Bioeconomy Knowledge Center [3], in 2017, the bioeconomy in Spain generated around 192 M€ and more than 1.3 M jobs. The data are presented in Table 1.
\nSector | \nValue (M€) | \n% | \nEmployment (no of people) | \n% | \n
---|---|---|---|---|
Agriculture | \n43.8 | \n22.7 | \n678,700 | \n50.9 | \n
Fishing and fish farming | \n2.5 | \n1.3 | \n53,035 | \n4 | \n
Foods, drinks, and tobacco | \n104.9 | \n54.5 | \n351,315 | \n26.4 | \n
Biotextiles | \n8.2 | \n4.2 | \n70,153 | \n5.2 | \n
Bioproducts | \n9.1 | \n4.7 | \n28,921 | \n2.2 | \n
Bioelectricity | \n0 | \n0 | \n0 | \n0 | \n
Biofuels | \n1.88 | \n0.9 | \n3781 | \n0.2 | \n
Forestry | \n0.95 | \n0.5 | \n26,100 | \n1.9 | \n
Paper and derivatives | \n12.5 | \n6.5 | \n40,826 | \n3 | \n
Wood and furniture | \n8.5 | \n4.4 | \n78,778 | \n6 | \n
Total | \n\n | \n |
The importance of the bioeconomy in Spain in 2015, by sector [3].
According to this same source, the agri-food sector is the most important sector of the Spanish bioeconomy. The agricultural sector comprises around 900,000 farms, representing 2.5% of the GDP; fishing involves more than 5000 companies and almost 9900 boats, representing 0.2% of the GDP, and the food and drink sector comprises almost 28,000 companies, representing 2.7% of the GDP. Forestry (wood, cork, and paper) represents 0.56% of the GDP. In addition, there are 540 companies involved in biotechnology (excluding healthcare) and 170 in the transformation of biomass into energy.
\nThe Joint Research Center has recently published data concerning the biorefineries in the EU, distinguishing them according to their products and the raw materials used [5]. The same authors (Parisi y M’Barek, personal communication) have informed us that their database includes 29 such plants in Spain; of these, 25 produce “bio-based chemicals,” 19 produce “liquid biofuels,” and four produce “bio-based composites and/or fibers.” In relation to the raw materials processed, most of these Spanish biorefineries use resources of agricultural origin. Thus, 10 use the organic fraction of residues, five use biological materials from forests, five use materials of marine origin, and one uses material from short-term pastures and catch-crops.
\nThe resources of biological origin have varied uses and are subject to changeable conditions of production and transformation, due to fluctuations in the agro-climatic, market, and political circumstances. In consequence, the bioeconomy faces a set of challenges, summarized in Figure 1. All of these were taken into account during the development of the Spanish strategy, as described below.
\nThe five challenges of bioeconomy (own elaboration).
The most important usage of biological resources is the feeding of human beings. In the coming decades, the human population of the Earth will reach 9100 million. To feed this population, around 68% more food will be required [6]. In addition to the population rise, it must be borne in mind that economic growth will modify the demand of foodstuffs, with a particular rise in the consumption of products of animal origin [7]. Another factor to consider is the concentration of the population in cities and the consolidation of large conurbations [8].
\nIn an ever more globalized world, the total worldwide demand will condition the production of foodstuffs, as well as the type of use of agricultural zones, the production systems, and their technologies. For this reason, the
The different groups of the Intergovernmental Panel on Climate Change (IPCC) concluded that there is increasing evidence showing the form and magnitude of the impact of climate change on agricultural production. The majority of the models that have been used to simulate the consequences of increases in the concentrations of greenhouse gases indicate the advancement of a process that combines an increase in mean temperatures, a decline in precipitation, and a greater frequency of extreme meteorological events, such as droughts and floods. These projections have started to become a fact in the Mediterranean Basin, where the mean temperatures have risen, on average, to 1.4°C since the pre-industrial era; this is 0.4°C more than the global mean [9]. According to these authors, under the most favorable scenario, a decrease around 10–30% in the precipitation means that irrigation requirements will rise by 4–22%.
\nThe climate change is the
The bioeconomy should allow the production systems within it to maintain their output levels under changing agro-climatic conditions, while reducing their emissions. The achievement of these two objectives will be possible only with the development and implementation of the necessary technology.
\nThe
Different authors have focused on these aspects. For example, [10] the need to reduce the environmental impact and, regarding human beings, the need to maintain global levels of food production and the types of diet that can sustain both, mankind and the planet were pointed out. Others [11] modeled the environmental consequences of a reduction of between 25 and 50% in the consumption of products of animal origin in Europe. Other authors [12] discussed a nutritional transition in developed countries, and among the middle class in developing countries, in which the trends in consumption are determined not only by income but also by considerations of health, the environment, and ethics (in relation to animal welfare). The loss of biodiversity is another important aspect pointed out by others [13], who put forward ideas of how to advance economically in parallel with an increase in biodiversity, while also raising food production.
\nThis point of view has become widespread in society, especially in Europe, as it was demonstrated in a survey of 2783 consumers in Germany, the United Kingdom, Belgium, and the Netherlands [14]. Of the replies, in 62% of cases, the consumption of foodstuffs was influenced by sustainability; of these, in 31% of cases, the consumption was influenced also by health concerns. Currently, more than 22% of the food consumption is determined by health aspects.
\nTo overcome this third challenge, it is vital to redesign the systems of production and the chain in which value is added to products. First and foremost, the inputs must be minimized, and the wastes converted into secondary products, so that the whole production and utilization process is sustainable and renewable. Again, this is dependent on the development of the necessary technology.
\nThe
The
The Organization for Economic Cooperation and Development [15, 16] has, on numerous occasions, underlined the potential of the bioeconomy to overcome the challenges described here and to stimulate the development of new economic activities in the countries where it is promoted. For this, it is imperative to strengthen the traditional series of activities that add value to biological resources, the most important being agri-food, followed by forest products. The appearance of new series of this kind would permit the commercialization of bioplastics, biocomposites, cosmetics, biofuels, bioenergy, and bioproducts related to nutrition and pharmacology.
\nThe growth of all these areas requires, as described by the Standing Committee of Agricultural Research [17], the application of a series of principals essential to the development of the bioeconomy. These are described below:
Prioritize the use of biological resources for the production of foods, guaranteeing their worldwide availability for human consumption.
Include sustainability in the development of the bioeconomy, such that the amounts of the resources harvested or extracted, in any system or setting, never exceed the capacity for regeneration. This principle should be applied equally to the inputs.
Utilization in a cascade, guaranteeing that the biomass is used to obtain the product with the highest added value, while achieving its integral utilization.
Move towards a circular economy, by designing productive processes that minimize the output of wastes and maximize reutilization and recycling.
Diversification of the use of resources and the accompanying activities.
In the case of the member states of the EU, the challenges described above are reflected in the strategies that define the European policies related to the production and use of resources of biological origin. Below, their most important aspects are described:
Overcoming the challenges we have described for the bioeconomy will be possible with the accumulation of knowledge in different scientific areas, and its transformation into innovations applied to each of the areas that comprise the bioeconomy.
\nThe improvement in the efficiency of the processes that make up agri-food production will be one of the essential elements. Implementation of the eco-blueprint—rethinking all the productive, organizational, and logistic processes to reduce the quantity of inputs, which is proposed for the application of the circular economy [20], thereby achieving a balance between productivity and sustainability—will require the integration of knowledge from different areas:
The areas of biology and biotechnology are essential for the development of new genetic materials for use in arable and livestock farming. The selection and crossing of materials will become much more precise and faster with the sequencing of complete genomes, the use of bioinformatics tools, or the editing of genes. This will allow responses to the joint challenges of productivity, resistance to drought, diseases, and pests, improved efficiency in the use of nutrients, and enrichment of food in certain components of interest. Knowledge of the microbiomes of the soil or the digestive tract of animals will improve the efficiency of the use of fertilizers, water, and feed ingredients, or improve the immune response of plants or animals. These same technologies, as well as nanotechnology, will also be applied to agri-food processing. The European Court of Justice issued a ruling in which it equates, for the EU, the techniques of gene editing with those of genetic modification. A decision of this type, if it is not modified, could inhibit the scientific development in Europe in the coming years, making it difficult to advance in this field.
The areas of engineering (mechanization, automation, robotization, avionics, and artificial intelligence) will revolutionize both the work itself and, above all, the precision in the handling and application of inputs, allowing progress in arable and livestock farming in the coming years. The use of the means of production at the correct moment and in the exact quantity that is extracted by plants or used by animals improves efficiency and, at the same time, reduces the use of natural resources, the impacts on the environment, and the final waste output of the productive processes. Some of the current objectives, such as reducing the use of fertilizers, phytosanitary products, or antimicrobials, will become a reality.
The application of information and communication technologies in agri-food production processes will facilitate precision in the use of inputs. Decision support tools will be developed based on the capture and storage of data, or images, for both the productive systems and external ones. The sensors and cameras placed in/on plants, animals, buildings, production chains, vehicles, drones, or satellites will continuously inform about the real productive situation. The processing of this information, and its combination with other external information from consumers or markets, will allow us to leave behind the descriptive analysis of the events that have happened, and instead to predict what may happen and even to prescribe a certain decision.
The aforementioned technological development is fully applicable to the sector of the production and transformation of forest resources. In Spain, there is a tendency to consider that the exploitation of forest resources entails a loss of natural capital and associated environmental services. This vision of the conservation of the environment has manifested itself in the preparation of the Spanish Bioeconomy Strategy [21]. As a result of this, the Juntos por los bosques initiative has arisen [22] that tries to install in Spanish society the concept that where there is forest management with sustainability criteria, the biomass, and therefore the sequestration of carbon, increases, thereby maintaining an economic activity and the preservation of the forests. This group defends the use of forest-based biomass as a unique opportunity to reduce the fire risk, create jobs, mitigate climate change, and reduce the dependence on external energy.
\nSpain has almost 6000 km of coasts. If we leave tourism aside, the traditional use of the marine environment has focused on the extractive fishing industry. Aquaculture has developed slowly, and the extraction of algae for different purposes (to obtain active ingredients, animal feed, or human food) is incipient. The Blue Growth initiative [6, 23] identified other opportunities linked to marine biotechnology (understood as the exploration and exploitation of marine organisms in order to create new products), as well as other areas far from the bioeconomy such as ocean energy or the mineral exploitation of the seabed.
\nParedes [24] grouped biomass conversion technologies into: biological (based on techniques of anaerobic digestion, fermentation, and enzymatic hydrolysis), mechanical (such as densification, extraction, and pressing), chemical (transesterification), and thermochemical (carbonization, combustion, gasification, and pyrolysis). However, this author pointed out that the main technological pathways for biomass research include: combustion, gasification, cogeneration, pyrolysis, transesterification, fermentation-hydrolysis, and anaerobic digestion. The foresight document of SCAR [17] also explored these issues.
\nIn 2014, the process of drafting the Spanish Bioeconomy Strategy began. It ended at the end of 2015, the strategy becoming public in early 2016. The essential milestones of this process, as it has been reported [1], were the following:
Analysis of the opportunity to develop the Bioeconomy Strategy, within the framework of the National Ministry of Research, Development, and Innovation.
Agreement to initiate the work by the ministries involved (economy and competitiveness; agriculture, food, and environment; and energy, industry, and tourism), and the start-up of a working group with representatives from the three ministries, the scientific and business worlds, and technological platforms.
Preparation of a first draft of documents, and their distribution and discussion among economic sectors and representatives of society, research, and local, regional, and national administrations.
Preparation and adoption of the final document, after submitting it to public consultation.
The definition of bioeconomy included in the document appears in the introduction to this chapter, as do its objectives. It is important to refer to some specificities of this strategy, which were widely discussed throughout the elaboration process, such as the scope, the bases, the particularities of Spain, and the essential elements.
\nThe scope of the strategy is included in the definition: agri-food, forest production and marine resources, residual biomass, and bioproducts. The importance given to each of these areas is proportional to the specific weight that each currently has in the Spanish economy, with the proviso that the transformation of biomass into bioproducts and bioenergy should be an important objective since it was a field of activity that was still under development. From certain points of view, it was considered that agri-food should be excluded from both the concept and the scope, in the same way as in other European strategies that were being worked on. Subsequently, the same decision was made in some of the Spanish regional strategies. However, the agreement that it was necessary to address the production and transformation of all biological resources in an integral manner, from a rural and coastal development perspective, led to its integration.
\nThe basis of this integration determined that foods were considered first, using productive methods based on efficiency and sustainability. Therefore, from the very beginning, the need to prioritize the use of agricultural and marine resources to provide food was considered, suggesting that the raw material for biorefineries should be the residual biomass of the agricultural industries. It was understood that the use of natural and biological resources is an economic decision of their owners. However, it was considered also that, as a principle, priority should be given to the alimentary use of agricultural products, as against the current European policy that promotes first-generation biofuels. Today, this policy has been changed, as a consequence of public opinion.
\nAnother founding principle was the requirement to give efficiency and sustainability—economic, social, and environmental—the same level of importance. There were two reasons for this: the first was related to the social perception in Europe of the bioeconomy, meaning that the European strategy had been launched thinking especially about the efficiency of the use of biological resources. This had provoked a reaction of rejection in certain groups that believed that behind the strategy, there was an interest in depleting forest resources. The second was the assurance that the future of the agri-food and forestry sector would be based on the guarantee of both its viability in a globalized market and the maintenance and recovery of the natural capital that sustains it, due to the use of more efficient and sustainable production processes.
\nThe triangle of science, economy, and society must be present throughout the process of creating the bioeconomy, and it has been demonstrated that the basis for the development of the bioeconomy is the availability of technologies. The emergence of new technologies is only possible if it is supported by new scientific knowledge of the existing environment. The generation of basic knowledge comes from different areas, such as fundamental biology, genomics, biotechnology, ecology, physics, chemistry, physics, nanotechnology, transformation technologies, biochemistry, and thermochemistry, as well as information and communication, without forgetting the social sciences associated with the social economy and its organization. This knowledge should be aimed at solving specific problems of the different processes or areas. For this reason, it is necessary to invest in research that is both cutting-edge and oriented to face the challenges that, progressively, arise in our society, thereby achieving technological development.
\nIn our opinion, society must be aware of the bioeconomy, its justification, its challenges, its objectives and interests, and the tools to make it possible. Only in this way will it be possible for the population to support public financing of research activities, accept the extension of knowledge in certain controversial areas, and have a broader vision when voicing its opinion in relation to the derived technologies, such as gene editing or genetic modification. In addition, when new bioproducts reach the market, competing with those derived from fossil resources, the members of the public will be able to make sound purchasing decisions based on their knowledge. For these reasons, from the first moment, we have had representatives of consumers, NGOs, and other collectives in our working groups.
\nThe last component of the bioeconomy is the companies capable of interpreting the current and potential demand for these new products and of integrating emerging technologies in a productive process, obtaining an economic benefit. Basically, this refers to innovative companies, which require these technologies that are controversial or, at least, different from the conventional ones present in the market. The source of knowledge for these activities is in research centers and consortiums, where new information or processes can be produced to remove old limitations or make previous transformations more efficient. These entities must be in a close relationship with research projects, technological platforms, and places where scientific results are presented, and they must participate in projects aimed at the assimilation of knowledge. In short, they have to maintain a close collaboration with research as the only possible way to innovate in a pioneering way in these areas.
\nSpain has a great diversity of agro-climatic areas, but in 80% of its territory, the availability of water is limited. Here, the water supply is a primary constraint on agricultural yields and, therefore, on the production of resources of biological origin or on the processes that require a large input of water.
\nThe approaches of the Spanish Bioeconomy Strategy are aimed at promoting the development of the bioeconomy through the following routes:
Public and private research and the investment of companies in innovation in the areas of the bioeconomy. Here, one can highlight the promotion and facilitation of multidisciplinary alliances between researchers and companies that can participate in all calls for the funding of projects, from European to national or regional levels. Another aim is to publicize the European models of public-private collaboration for the development of the bioeconomy, the search for financing of pilot-scale installations (both public and private), and the interaction between technology platforms and campuses of excellence.
The reinforcement of the social, political, and administrative environment of the bioeconomy, based on the creation of an observatory, the launching of a program of dissemination and social dialog, and the generation and training of a group of stakeholders focused on this discipline.
The improvement of competitiveness and the development of the bioeconomy market, which could be achieved by developing the concept of sustainability (by means of precise indicators), identification of the limitations for its development (both technical and legal or administrative), the identification and promotion of new chains of value, or the standardization and certification of new bioproducts.
The development of the demand for new products, through the identification of new products and the difficulties for their entry into the market, the development of innovative public sale campaigns applied to bioproducts, and the labeling of such products.
Support for the expansion of the bioeconomy through the collection and presentation of success stories and cooperation and collaboration among stakeholders, so that specific strategies can be implemented at the regional level and connections can be made with international projects.
The strategy is promoted through annual action plans focused on developing the activities described in the five strategic areas. The promoter of this plan is the Observatory of the Spanish Bioeconomy Strategy, which we will describe in a specific section.
\nIn the first 3 years of operation of the strategy, progress has been made in different areas, as discussed below:
The bioeconomy has been included, in a comprehensive fashion, among the Spanish research and innovation objectives, within the framework of the revision of the State R & D Plan for the period 2017–2020. It is considered globally, integrating all the economic and social challenges associated with the agri-food, marine, and maritime sector and bioproducts, clearly establishing that the bioeconomy is a tool to advance towards the circular economy. In this context, the EU is moving in the same direction, in research and innovation, both in its work package within H2020 and in the ideas that are emerging for the 9th research program. In addition, the connection and interaction between the bioeconomy and the circular economy are considered, considering the former as a tool to develop the latter in the field of biological resources.
A project has been carried out to determine the social perception of the bioeconomy in Spain, based on discussions with 20 focus groups, throughout the country, representing different age groups, professions, and levels of study. Particular emphasis was placed on knowing the opinion of the people active in social networks and environmental NGOs. The conclusions were varied; among them, one can highlight the scarce knowledge of what underpins the bioeconomy, the interest it provokes for the sectors linked to the production of biological resources, the doubts that its implementation raises in certain groups actively involved in the defense of the environment, and the need to improve information and communication, identifying the administrations related to science, technology, agriculture and food as the only ones that will have sufficient credibility to address the process.
A coordinated strategy of training and communication has been developed, which has enabled 21 dissemination and training courses to be organized: eight by the central administration and the autonomous regional communities, in seven cases by universities, especially through their summer courses, and on six occasions by private entities. The scheme followed has always been based on a general presentation, explaining the concepts, objectives, elements, and strategic lines. From there, modules have been developed for different areas, with examples of bioeconomic activities in operation in the market. It has been quite common to explain the ways in which financing can be obtained for projects, both research and innovation.
Two public-private collaboration forums have been organized—with the participation of researchers, administrations, and companies—to discuss the sustainability indicators applied in arable and livestock farming and forestry production. These agreed on the need to continue developing proposals and collaborating at the European level.
At the international level, the Spanish bioeconomy has been represented in the SCAR working groups, in the stakeholder panel of the European Commission, and in the events organized by the Commission. It has also participated in the two Global Bioeconomy Summits, organized in Germany, and has established collaborations with the Latin American bioeconomy group through contacts within the framework of FONTAGRO and CEPAL.
Several autonomous communities have started to develop their own initiatives in the area of the bioeconomy. Sixteen of the 17 Spanish regions featured the bioeconomy in their “smart” specialization strategies at the beginning of the current programming period; today, they all have it. In addition, eight communities have been working on their own strategies. At present, Andalusia has finalized and adopted the document of its regional strategy. Extremadura has included it in its green growth strategy. Aragón has included it in its circular economy strategy, but trying to promote rural development as an element of differentiation. Other Communities where work is being done, in different stages of progress, are Asturias, the Balearic Islands, Castilla León, the Region of Murcia, and the Valencian Community.
There is an online platform available to the participants in which different documents can be presented, as well as showing examples of successful cases, for both the central administration and the Autonomous Communities that are working in this area. Training sessions have been organized to raise awareness of what constitutes the bioeconomy and the possibilities of financing its activities.
In 2018, work began to develop a Circular Economy Strategy in Spain. Since its implementation, the Bioeconomy Strategy has been present as such. The activities of the observatory, with its annual action plans, have become one of the measures of the Circular Economy Strategy itself, which shows the complementarity between the two strategies with regard to promotion of economic development and sustainability.
\nAn essential element for boosting the bioeconomy in Spain is the Spanish Observatory of the Bioeconomy. It is an instrument of support and cooperation for the development of the Spanish Strategy of Bioeconomy, dealing with both administrations, central and regional, and with the different stakeholders of science, economy, and society as a whole.
\nIts functions are the following:
Promotion of the Spanish Strategy of Bioeconomy and the measures stipulated therein.
Adoption and promotion of the action plans.
Collaboration in the analysis, diagnosis, evaluation, and monitoring of the activities defined within the framework of the Spanish Strategy of Bioeconomy.
Monitoring of the development of the activities included in the action plans.
Encouraging a strategy of public communication, education, sensitization, and participation of Spanish society in relation to the bioeconomy.
Promote the inclusion of the bioeconomy in policies at the national level.
The Spanish Observatory of the Bioeconomy is made up of 38 members belonging to different administrations (central, regional, and local), to research facilities and companies within the structure of the bioeconomy, to universities, public research organizations, and technological platforms related to those same areas, and to social organizations that include sectoral representatives, trade unions, nongovernmental organizations, credit entities, etc.
\nIts structure, as shown in Figure 2, is as follows:
Structure of the Spanish observatory of bioeconomy (own elaboration).
The planet is facing a number of challenges that must be addressed in the coming decades, in relation to the use of natural resources to feed, in the medium and long term, all of humanity. Society has become aware of this reality and, at the international level, an agreement is being reached that obliges countries to modify their production and consumption practices in relation to goods and services. The sustainable bioeconomy, as a tool to develop the circular economy, can be an adequate instrument to overcome these challenges.
\nThe bioeconomy groups together all activities related to the use of biological resources, providing a global and integrated view of their use in which the generation of knowledge and its application by companies, taking into consideration the opinion of society, will provide a response to political and social challenges with tools that guarantee the sustainable and efficient use of these resources.
\nIn a country like Spain, in which biological resources represent 6.5% of GDP and provide employment for 9% of the active population, and which will be subject in the medium term to the pressure of changing agro-climatic conditions, the development of the bioeconomy—from the rural to the coastal environment and from the production of food to the commercialization of bioproducts—is a strategic area with a promising future.
\nThere are many different definitions of aspect in the literature. These definitions are made in three ways: by direction, by maximum variation, and by degree. The first definition group is the most commonly used. The concept of direction is to the come to the forefront. According to some researchers, the aspect at a point on the land surface is the direction that the tangent plane passing through that point faces and is expressed in degrees (the angle defined in the clockwise direction from the north) [1]. In its simplest form, the aspect is a data type that expresses the geographical direction in which the slopes develop.
According to the second definition, the aspect represents the maximum slope direction of the land surface [2]. Or, for any point, the aspect represents the direction of the maximum variation of the degree of variation of the height value [3]. According to some researchers, it is defined as the compass direction of the maximum rate of change [4, 5]. According to some researchers, it can also be defined as the slope direction, which defines the downward direction of the maximum rate of change in maximum, or as the dip direction, which defines the downward slope direction of the maximum altitude change rate [6, 7].
According to the third and last definition, the expression of the directions in degrees is in the foreground. Aspect defined it as the clockwise faces of a slope varying between 00 and 3600, measured in degrees from the north [8, 9]. Generally, the aspect ranges from 0° to 360° and are handled as 45° groups, and the directions are grouped clockwise as north, northeast, east, southeast, south, southwest, west and northwest.
An aspect map shows both the direction and grade of a terrain at the same time. Therefore, it is an important factor in the analysis and production of landslide susceptibility maps. In the literature, there are many studies that accept and use aspect, landslide, as the main conditioning factor [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]. While some authors [13, 14, 15, 16] consider landslides as a controlling factor, others [17, 18] do not see it as a conditioning factor. While some researchers say that aspect has no significant effect on landslides [19], some researchers have also argued that there is an important relationship between slope aspect and landslide occurrence [20]. According to most researchers, aspect has an indirect effect on landslide [21]. While some researchers associate this relationship mainly with precipitation [22, 23, 24, 25, 26, 27, 28, 29, 30, 31], others have associated this with the general morphological trend of the area [27, 32]. According to most researchers, it has been argued that the relationship between landslide and aspect is also related to the dominant wind direction [33, 34, 35]. Some researchers, on the other hand, consider the effect of the aspect on the landslide, the general precipitation direction of the region, freeze–thaw, sunlight [35], longer snow retention on sun-drenched slopes, moisture retention, soil type, permeability, porosity, moisture, organic components, land and vegetation (forest, grassland, bushland, farmland), evapotranspiration [36], evaporation transpiration, climatic season, rock structure [37], It explains that factors such as discontinuities and fault orientation decrease the slope stability [10, 11, 24, 28, 30, 32, 38, 39]. Many parameters are used in landslide susceptibility studies, but it is stated that there are very few parameters that are thought to have a direct effect on landslides. The aspect parameter has also been investigated for a long time [3, 16, 28, 40, 41, 42, 43], but it is one of the parameters on which no consensus can be reached [3, 44, 45, 46, 47]. In the examined studies, it was determined that the aspect parameter indirectly affects the landslide. It is thought that this parameter triggers the landslide together with other parameters. Some researchers, especially in their studies on small-scale landslides, have determined that the angle with the slope affects the stability negatively [48, 49, 50]. Many researchers state that aspect is as effective as slope in the formation of landslides [11, 12, 13, 23, 24, 28, 30, 45, 51, 52, 53, 54, 55]. Apart from slope, aspect is one of the most important parameters in preparing hazard and zoning maps [13, 23, 24, 28, 30, 54].
As seen from the studies examined, the aspect parameter is a parameter that differs in each study area. For this reason, it has been interpreted that it should be examined together with other parameters rather than being an effective parameter in terms of landslide susceptibility alone [46]. According to Ramakrishnan et al. [56] stated in their study that different types of mass movements (plane, wedge, slope and soil slide) play an important role in control. However, there is no determination as to the extent to which the bee affects the landslide susceptibility.
In studies, landslides must be concentrated on slopes with a certain orientation in order to take into account the aspect. In many studies, researchers have determined that landslides are concentrated on slopes with certain orientations in their statistical evaluations [13, 22, 23, 24, 25, 26, 27, 28, 29, 30, 51, 57]. However, there are studies using the parameter in studies conducted in areas with equal landslide distribution in all directions. Generally, in such a finding, the lowest score is given to the aspect parameter.
The aspect factor is controlled by the climate process. Elevation and slope angle are also effective factors on this parameter. On the other hand, there are processes controlled by the aspect factor. The most important of these is plant ecology. This is followed by forestry, site selection and planning. Land morphology is under the influence of structural elements. It takes a long time to change. The biggest factor controlling the view is the structural and dynamic morphological conditions that form the silhouette of the field from past to present [58].
Although there are parameters that are agreed upon among researchers in the literature, look is not among them. For this reason, with this study, the relationship between aspect and landslide was tried to be revealed and this uncertainty in the literature was examined.
It is stated that the parameter contributes to the landslides by affecting other parameters. Since wind direction causes precipitation intensity and erosion of sun-facing slopes, aspect indirectly affects landslide [33, 34]. Although it is stated in the literature that the effect increases with the angle of slope and elevation, the effect on landslides is mostly mentioned together with the climatic conditions. Aspect parameter is generally in close relationship with climatic conditions [59]. The parameter determines the effect of rain direction, amount of sunlight, solar heat, soil moisture, wind and air dryness [39, 60]. Since it controls the soil moisture concentration with the effect of climate, it is considered as an important factor indirectly triggering landslides [61, 62, 63]. Therefore, due to its morphology, how the aspect factor affects the climatic parameters by modifying it should be correlated.
The conditions for the slopes facing different directions to be affected by atmospheric events such as precipitation, sun, light, freeze–thaw are also different. Therefore, it is possible to evaluate the relationship of the parameter with the climate in 3 parts. These are precipitation, sun and wind.
The most important factor affecting aspect is precipitation. Most of the researchers studying the aspect parameter associated landslide with precipitation. In the literature, there are studies that argue that slopes that receive precipitation and are in the shade are more susceptible to landslides. In the literature, there are researchers who stated that landslides are very common on the slopes where monsoon precipitation falls more frequently in the study areas [2, 35, 64, 65, 66]. After exposure to physical weathering during the dry season, they are prone to landslides with the emergence of strong monsoon precipitation and winds [67]. In their study in Greece, Alexakis et al. [68] and Kouli et al. [69] determined that the slopes facing northeast and northwest received heavy rainfall and the most landslides were observed here.
If precipitation exceeds the threshold value in an area and the area is unstable, landslides are likely to occur. In this respect, precipitation should be considered as a triggering factor and aspect as a preparatory factor. Critical slope angle values of soils in dry and saturated conditions are examined. It has been determined that the saturation or dryness of the soil affects the critical slope angle by about 40%. In this case, the slopes receiving the most precipitation were considered the most dangerous, and the slopes receiving the least precipitation were considered the least dangerous [27, 70].
The reason for the fact that landslides are significantly higher on a slope facing any direction compared to the others is that the torrential rains and heavy rains that developed during the landslide occurred along a line from that direction. For this reason, it can be observed that landslides are more intense on slopes that receive heavy rainfall. This depends on the infiltration capacity, which is controlled by many factors such as the type of soil, its permeability, porosity, moisture and organic matter content, vegetation and the season in which precipitation occurs. Slopes that receive precipitation reach saturation more quickly and cause higher pore water pressure to develop within the soil. As a result, the pore water pressure on these slopes increases [11, 42, 67, 71, 72].
It has been determined that there is a negative effect on the landslide mechanism in the form of the reason that the snow cover stays longer in the places that are not exposed to the sun and the water holding capacity increases accordingly [20, 73, 74, 75, 76]. Avcı [76] determined that in the Esence Stream Basin, which is the study area, the south-facing slopes receive plenty of precipitation with the effect of the facade systems, this precipitation falls in the form of snow in the winter season, and the increase in the amount of snow melts and precipitation in the spring season facilitates the landslides.
Landslides occurring in a certain slope direction are associated with long-term freezing and thawing movements [20, 73, 77]. In certain directions it is associated with increased snow concentrations and thus longer times for freeze and thaw action and intense erosion [77].
Calligaris et al. [78] defined the aspect as the reflection of the sun’s insolation. Aspect affects solar radiation and therefore temperature. Aspect affects the amount of heat energy taken from the sun and thus water loss by transpiration and evaporation [79]. The slopes that are most exposed to the sun’s rays reveal evapotranferance [9]. This affects the soil moisture in the ground. In addition, evaporation affects vegetation distribution and type. In the literature, there are researchers who determined that landslides occur more intensely on slopes that are more exposed to sunlight [9, 11, 35, 39, 42, 71, 72, 80, 81]. In the literature, there are studies that determine that slopes that receive sun are more prone to landslides than slopes that receive rain. Bijukchhen et al. [82] determined that in their study areas, in general, slopes sloping towards the sunlight and precipitation region have a higher landslide hazard propensity compared to the slope in the rain shadow. Although this parameter is usually evaluated together with the aspect, Görüm [83] determined in her literature research that 72 studies used aspect and 3 studies used sun exposure as an input parameter.
Remondo et al. [84], on the other hand, used the values on this date in their studies for landslide susceptibility assessment, since 21 March will be the most sun exposure. Tasoglu et al. [85], in their work; they determined that it was exposed to direct sunlight in east, southeast, south and southwest directions and sunlight was quite effective in inducing landslides.
Like exposure to sunlight, the drying wind also controls soil moisture concentration. This is a determinant of landslide occurrence [61, 62, 67, 71]. Slope exposure shows possible effects of prevailing winds, differential weather and related effects.
Lithology: indirectly, it triggers the landslide together with the view. Afungang et al. [86] determined that thick pyrolastics as debris in the study areas were more susceptible to landslides in windward slope directions. Yeşiloğlu [87] evaluated the effects of lithology and landslide together in his study. An aspect map has been created to be used in the evaluation of the relationship between the production of debris material from limestones and aspect. According to Ayalew et al. [70] stated in their study that the distribution of landslides in regions close to the oceans increases with the effect of wave effect, weathering and subsequent coastal erosion.
Along with the fault, there are also those who research the effect of the landslide on the landslide, there are also those who research the effect of the landslide on the landslide. There are researchers who observed that landslides intensified in certain slope directions before and after the earthquake in the study areas [2, 39, 88, 89].
Guillard and Zezere [90] stated that south-facing slopes receive more sunlight than north-facing slopes in their study area, but since the geological structure of the area is characterized by a monocline dipping to the south and southeast, more landslides occur on south-facing slopes.
Aspect plays an important role in stability assessment; because it controls vegetation distribution, type, density and root growth on a land [11, 39, 80, 91]. It also controls moisture content in soil and vegetation growth due to exposure to sunlight, which also affects soil strength, landslide, infiltration and run-off rates [63, 92]. Dahal [93] added aspect data in his research for the purpose of detecting plant propagation and increasing the accuracy rate according to the aspect effect in the study area.
Champati ray et al. [94] and Srivastava et al. [95] found that most of the south-facing slopes in the Himalayan study areas were devoid of or have insufficient vegetation due to low soil moisture, which plays an important role in the assessment of slope stability in their field. On the other hand, the north side is less exposed to the sun’s rays, thus conserving the moisture in the soil. For this reason, taller trees are growing, which tends to stabilize the northern slope. The absence of vegetation provides the slope material with dryness and therefore reduces its adhesion strength.
During the literature review, it was determined that while more intense landslides were observed on the slopes facing one direction, less landslides were observed on the opposite side of this direction. Since the “south, southeast, southwest and west” aspects are generally warmer in Turkey, they are called sunny aspects. On the contrary, “north, northeast, northwest and east” aspects are also called shaded aspects because they are cooler. The sun exposure times of these two groups differ markedly. Since the slopes facing south and west are more exposed to sunlight, evaporation is rapid in these regions. Otherwise, since evaporation is slow and the soil stays moist for a long time, the risk of flooding is higher on north and east facing slopes in case of excessive precipitation [96]. Again, in his field study in Turkey, Ozsahin [97] determined the probability of the highest landslide occurrence as N and W directions and stated that the humidity was relatively higher on the slopes facing these directions.
In areas where landslides occur on the south side, a higher amount of solar insulation occurs. On slopes with higher insulation and higher temperatures, erosion increases. Areas where vegetation is removed are exposed to direct sunlight, creating drier soil conditions, which increases the likelihood of landslides [98]. According to Devkota et al. [47], Hong et al. [99] and Chena et al. [11], most of the landslides occurred on the slopes facing south and southeast in the study areas. The biggest reason for this is that the highest precipitation rate is seen on the south-facing slopes. Meinhardt et al. [65] determined that the water saturation of the slopes increased with the effect of southwest monsoon rains in the study areas and the highest slip density was found in the south and southwest. Tombus [100], on the other hand, determined in his study that the erosion value is higher on slopes facing south than on slopes facing other directions.
In the studies conducted in the Black Sea, it was observed that landslides were intense on the slopes facing north. The reason is that the region is under the influence of precipitation from the north and north-facing slopes are more affected by precipitation. From this, it can be concluded that the air currents coming from the sea in the study areas close to the sea will affect more areas in the region. It is known that the Black Sea receives more precipitation than the north due to the high evaporation of precipitation. For this reason, north-facing slopes are examined as the most dangerous in terms of soil saturation in the study area, and south-facing slopes are examined as the least dangerous. [101, 102]. According to Hadji et al. [9] determined that the slopes in the study area are mostly in the north-facing directions. In addition, they determined that the most precipitation in winter comes from the northwest. They also determined that they affect the clays in the ground and therefore trigger landslides.
In their study, Lineback et al. [103] found more landslides in the north and northwest-facing directions than in the south-facing directions. They stated that the southern parts remained drier as the reason for this. Wang and Unwin [104], on the other hand, found evidence in their study that the probability of slipping increases in the north-facing slope direction. As justification, they showed that the main precipitation directions in the Zagros Mountain Belt are north and west, and the main solar direction is east and south [105]. According to Saha et al. [4] determined that, in general, south-sloping slopes have less vegetation density than north-facing slopes, and therefore they are more sensitive to landslide activity in the study areas. On the other hand, Marston et al. [106] observed that, due to geographical conditions, north and west facing slopes have a higher moisture content for a longer period of time and cause higher landslide susceptibility in their study area. They emphasize that exposed soil on south-facing slopes is subject to cycles of wetting and drying, thereby increasing landslide activity in the Himalayas [20]. According to Rahman et al. [79] found that south-facing slopes were more exposed to the sun and north-facing slopes were least exposed to the sun in their study area.
As a result, they determined that the north direction and the least south direction were sensitive to landslides in their fields. They showed that the reason for this is that it takes longer time for the soil to dry in the shaded areas on rainy days. According to Akinci et al. [107] found that in the study areas, the slopes are more north-oriented and again, landslides occur mostly in this direction. They stated that these slopes are more humid with the effect of aspect, while the temperature and evaporation are low on the slopes facing north, and the soil moisture is high. In addition, they stated that the amount of precipitation and snow melts are high on the southern slopes. Afungang et al. [86] found that north and northwest-facing slopes at higher altitudes received more precipitation and sun than south-facing slopes. Therefore, it was determined that the southwest-facing slopes were drier, less windy, and received less solar radiation with less landslides. Champati ray et al. [94] and Srivastava et al. [95], in their study in Himelaya, found that more landslides occurred on the southern front compared to the northern front. Temiz [101] and Yalçın [102], on the other hand, determined that north-facing slopes were the most dangerous in terms of soil saturation in the study area, and south-facing slopes were the least dangerous.
The reasons for the change in the number of class intervals can be counted as the slopes being oriented in a certain direction, the absence of landslides in some directions or the presence of very few pixels. It is usually given to flat areas such as lakes and seas [20]. For example, the probability of landslides in “flat” areas is almost zero [34]. However, Yeşilnacar and Topal [108] with Çevik and Topal [109] stated that the landslides in the study area occurred equally in different slope orientations and emphasized that it is not an effective parameter in their studies. Aspect is measured clockwise towards north and takes positive values between 0 and 360 degrees. Aspect is measured clockwise towards north and takes positive values between 0 and 360 degrees. In order to create a slope orientation map, on the basis of 4 main geographical directions and these main directions (NE, NW, SE and SW), which of these directions the slopes face in the study area and their relations with the directions of the landslides are determined [101, 102]. It indicates 0° north, 90° east, 180° south and 270° west [32]. In the landslide analysis, a categorical structure is formed according to 450 angles. When the researchers grouped the slope orientation values in their studies, they determined which orientations the landslides intensified. The perspective angles and values made in the studies are given in Table 1.
North | Northeast | East | Southeast |
---|---|---|---|
00–22.50, 337.50–3600 | 22.50–67.50 | 67.50–112.50 | 112.50–157.50 |
South | Southwest | West | Northeast |
157.50–202.50 | 202.50–247.50 | 247.50–292.50 | 292.50–337.50 |
Slope directions and angles.
In studies, very different grade ranges from 4 to 10 are used. According to the literature, the most preferred 8 grade ranges.
Some researchers preferred to use 4 main aspects in the aspect parameter they used in their studies. There are researchers who use the aspects divided into 4 groups in their studies in different ways. According to Temesgen et al. [110] used 4 cardinal directions: north, south, east and west. Özşahin and Kaymaz [111] have 4 classes; they used it by arranging it as straight/N-NE-NW/S-SE-SW/E-W. There are studies that use the aspect by classifying it in 5 ways [6, 97, 105, 112].
In the literature, three different directions were found in the 5-category. The first of these; flat (−1°), north (315°-360°, 0°-45°), east (45°-135°), south (135°-225°) and west (225°-315°) [113]. The second classification is; (1) SW 1810–2250, (2) SE 1360–1800, (3) ESE 910–1350 and SWW 2260–2700, (4) NEE 460–900 and WNW 2710–3150, (5) NNE 00–450 and NWN 3160–3600 [74]. The third and final classification is; It is flat, NE, SE, SW and NW [50].
Aspect maps divided into 6 classes are very common in the literature. Kumtepe et al. [114] prepared this classification as 0–60°, 60–120°, 120–180°, 180–240°, 240–300°, 300–360°.
The second most preferred classification in the literature is 8 classes prepared with groups of 450 divided into equal class intervals [35, 43, 45, 54, 65, 79, 94, 95]. This classification; N (337.5–22.5), NE (22.5–67.5), E (67.5–112.5), SE (112.5–157.5), S (157.5–202.5), SW (202.5–247.5), W (247.5–292.5) and NW (292.5–337.5) [37]. Ramakrishnan, et al. [56], on the other hand, arranged the 8-class classification differently as 45–90, 90–135, 135–180, 180–225, 225–270, 270–155 and 315–360 degrees.
According to the literature, the most preferred classification is groups of 9 [11, 32, 47, 52, 53, 66, 68, 69, 71, 87, 93, 95, 109, 102, 113]. In studies, this classification is; flat area (−1°), north (337.5° -22.5°), northeast (22.5° -67.5°), east (67.5° -12.5°), southeast (112.5° -12.5°) 157.5°), south (157.5° -202.5°), southwest (202.5° -247.5°), west (247.5° -292.5°), and northwest (292.5° -337.5°) [49, 46, 67, 73]. According to Rozos et al. [74] is this group; They used NNE, NEE, SEE, SSE, SSW, SWW, NWW, NNW, as flat shapes. The interesting thing about this classification is that the surface is displayed from 2 different angles.
The graph in Figure 1 was prepared using the literature data. It is seen that the most used classification is the groups of 56% and 9 percent. Again, it is seen from the graph that the group of 1 to 4 is the least used class.
Distribution of class range values used according to the literature.
According to the literature, the most used direction classes are given in Figure 2. The direction of the landslide areas varies according to the study areas. However, in the studies examined, it is understood that the directions where landslides occur most are the slopes facing south and west. The probability of landslides in other directions is almost equal. In some studies, landslides were encountered at an equal level in all directions.
Distribution of landslide areas according to directions.
In this study, the use of aspect parameter in landslide susceptibility studies and its effect on landslide were investigated. It is one of the parameters that cannot be agreed upon by the researchers. While some researchers associate landslide occurrences in the study area with this parameter, some researchers argued that landslides are equally distributed in all directions and that the parameter is ineffective.
It is a fact that this parameter should not be evaluated alone, as in other parameters. The parameter is the predisposing factor for the triggers. One of these triggers is precipitation. There are many studies showings that intense landslides occur on slopes that receive rainfall. Climatic events such as sun, wind, snow water, freeze–thaw are also associated with the aspect parameter. The other two parameters most associated with climatic factors are geology and vegetation.
The other subject discussed in the study is the relationship of the directions with each other and with the landslide. The most common landslides seen in the studies examined are south and north directions. There is an opposite relationship between them. If there are frequent landslides on the south-facing slopes, there are almost no landslides on the north-facing slopes. Again, on the contrary, if landslides are concentrated on the north-facing slopes, landslides are not expected in the southern part. If a landslide occurs more in the south, it is associated with sun exposure, drought and lack of vegetation. Those occurring in the north are mostly evaluated by heavy rainfall, humidity and the water holding capacity of the soil.
Finally, the class ranges used in the literature are included in the study. Aspects used in the literature. In the studies, this classification is; flat area (−1°), north (337.5° -22.5°), northeast (22.5° -67.5°), east (67.5° -12.5°), southeast (112.5° -12.5°) 157.5°), south (157.5°) ° -202.5°), southwest (202.5° -247.5°), west (247.5° -292.5°) and northwest (292.5° -337.5°). Depending on the user’s preference, some prefer the main classes, while others include intermediate aspects in their work. Some studies do not include aspects that do not appear to have landslides in their studies. In this way, various classifications such as 4, 5, 6, 8 and 9 are used. While the most preferred 9 classes are the least preferred groups of 4. With this study, the use of the aspect parameter in landslide susceptibility studies and its effect on the landslide together with other parameters were revealed.
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This has compromised the ability of the environment to foster life and render its intrinsic values. Heavy metals are known to be naturally occurring compounds, but anthropogenic activities introduce them in large quantities in different environmental compartments. This leads to the environment’s ability to foster life being reduced as human, animal, and plant health become threatened. This occurs due to bioaccumulation in the food chains as a result of the nondegradable state of the heavy metals. Remediation of heavy metals requires special attention to protect soil quality, air quality, water quality, human health, animal health, and all spheres as a collection. Developed physical and chemical heavy metal remediation technologies are demanding costs which are not feasible, time-consuming, and release additional waste to the environment. This chapter summarises the problems related to heavy metal pollution and various remediation technologies. 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H. Gulrez, Saphwan Al-Assaf and Glyn O Phillips",authors:[{id:"58120",title:"Prof.",name:"Saphwan",middleName:null,surname:"Al-Assaf",slug:"saphwan-al-assaf",fullName:"Saphwan Al-Assaf"}]}],mostDownloadedChaptersLast30Days:[{id:"35255",title:"Mechanical Transmissions Parameter Modelling",slug:"mechanical-transmissions-parameter-modelling",totalDownloads:7415,totalCrossrefCites:1,totalDimensionsCites:2,abstract:null,book:{id:"1982",slug:"mechanical-engineering",title:"Mechanical Engineering",fullTitle:"Mechanical Engineering"},signatures:"Isad Saric, Nedzad Repcic and Adil Muminovic",authors:[{id:"101313",title:"Prof.",name:"Isad",middleName:null,surname:"Saric",slug:"isad-saric",fullName:"Isad Saric"}]},{id:"68505",title:"Research Design and Methodology",slug:"research-design-and-methodology",totalDownloads:25071,totalCrossrefCites:9,totalDimensionsCites:18,abstract:"There are a number of approaches used in this research method design. The purpose of this chapter is to design the methodology of the research approach through mixed types of research techniques. The research approach also supports the researcher on how to come across the research result findings. In this chapter, the general design of the research and the methods used for data collection are explained in detail. It includes three main parts. The first part gives a highlight about the dissertation design. The second part discusses about qualitative and quantitative data collection methods. The last part illustrates the general research framework. The purpose of this section is to indicate how the research was conducted throughout the study periods.",book:{id:"8511",slug:"cyberspace",title:"Cyberspace",fullTitle:"Cyberspace"},signatures:"Kassu Jilcha Sileyew",authors:[{id:"292841",title:"Ph.D.",name:"Kassu",middleName:null,surname:"Jilcha Sileyew",slug:"kassu-jilcha-sileyew",fullName:"Kassu Jilcha Sileyew"}]},{id:"67558",title:"Polymerase Chain Reaction (PCR): Principle and Applications",slug:"polymerase-chain-reaction-pcr-principle-and-applications",totalDownloads:10632,totalCrossrefCites:8,totalDimensionsCites:18,abstract:"The characterization of the diversity of species living within ecosystems is of major scientific interest to understand the functioning of these ecosystems. It is also becoming a societal issue since it is necessary to implement the conservation or even the restoration of biodiversity. Historically, species have been described and characterized on the basis of morphological criteria, which are closely linked by environmental conditions or which find their limits especially in groups where they are difficult to access, as is the case for many species of microorganisms. The need to understand the molecular mechanisms in species has made the PCR an indispensable tool for understanding the functioning of these biological systems. A number of markers are now available to detect nuclear DNA polymorphisms. In genetic diversity studies, the most frequently used markers are microsatellites. The study of biological complexity is a new frontier that requires high-throughput molecular technology, high speed computer memory, new approaches to data analysis, and the integration of interdisciplinary skills.",book:{id:"7728",slug:"synthetic-biology-new-interdisciplinary-science",title:"Synthetic Biology",fullTitle:"Synthetic Biology - New Interdisciplinary Science"},signatures:"Karim Kadri",authors:[{id:"290766",title:"Dr.",name:"Kadri",middleName:null,surname:"Karim",slug:"kadri-karim",fullName:"Kadri Karim"}]},{id:"62059",title:"Types of HVAC Systems",slug:"types-of-hvac-systems",totalDownloads:12391,totalCrossrefCites:8,totalDimensionsCites:14,abstract:"HVAC systems are milestones of building mechanical systems that provide thermal comfort for occupants accompanied with indoor air quality. HVAC systems can be classified into central and local systems according to multiple zones, location, and distribution. Primary HVAC equipment includes heating equipment, ventilation equipment, and cooling or air-conditioning equipment. Central HVAC systems locate away from buildings in a central equipment room and deliver the conditioned air by a delivery ductwork system. Central HVAC systems contain all-air, air-water, all-water systems. Two systems should be considered as central such as heating and cooling panels and water-source heat pumps. Local HVAC systems can be located inside a conditioned zone or adjacent to it and no requirement for ductwork. Local systems include local heating, local air-conditioning, local ventilation, and split systems.",book:{id:"6807",slug:"hvac-system",title:"HVAC System",fullTitle:"HVAC System"},signatures:"Shaimaa Seyam",authors:[{id:"247650",title:"M.Sc.",name:"Shaimaa",middleName:null,surname:"Seyam",slug:"shaimaa-seyam",fullName:"Shaimaa Seyam"},{id:"257733",title:"MSc.",name:"Shaimaa",middleName:null,surname:"Seyam",slug:"shaimaa-seyam",fullName:"Shaimaa Seyam"},{id:"395618",title:"Dr.",name:"Shaimaa",middleName:null,surname:"Seyam",slug:"shaimaa-seyam",fullName:"Shaimaa Seyam"}]},{id:"70315",title:"Some Basic and Key Issues of Switched-Reluctance Machine Systems",slug:"some-basic-and-key-issues-of-switched-reluctance-machine-systems",totalDownloads:1261,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"Although switched-reluctance machine (SRM) possesses many structural advantages and application potential, it is rather difficult to successfully control with high performance being comparable to other machines. Many critical affairs must be properly treated to obtain the improved operating characteristics. This chapter presents the basic and key technologies of switched-reluctance machine in motor and generator operations. The contents in this chapter include: (1) structures and governing equations of SRM; (2) some commonly used SRM converters; (3) estimation of key parameters and performance evaluation of SRM drive; (4) commutation scheme, current control scheme, and speed control scheme of SRM drive; (5) some commonly used front-end converters and their operation controls for SRM drive; (6) reversible and regenerative braking operation controls for SRM drive; (7) some tuning issues for SRM drive; (8) operation control and some tuning issues of switched-reluctance generators; and (9) experimental application exploration for SRM systems—(a) wind generator and microgrid and (b) EV SRM drive.",book:{id:"8899",slug:"modelling-and-control-of-switched-reluctance-machines",title:"Modelling and Control of Switched Reluctance Machines",fullTitle:"Modelling and Control of Switched Reluctance Machines"},signatures:"Chang-Ming Liaw, Min-Ze Lu, Ping-Hong Jhou and Kuan-Yu Chou",authors:[{id:"37616",title:"Prof.",name:"Chang-Ming",middleName:null,surname:"Liaw",slug:"chang-ming-liaw",fullName:"Chang-Ming Liaw"},{id:"306461",title:"Mr.",name:"Min-Ze",middleName:null,surname:"Lu",slug:"min-ze-lu",fullName:"Min-Ze Lu"},{id:"306463",title:"Mr.",name:"Ping-Hong",middleName:null,surname:"Jhou",slug:"ping-hong-jhou",fullName:"Ping-Hong Jhou"},{id:"306464",title:"Mr.",name:"Kuan-Yu",middleName:null,surname:"Chou",slug:"kuan-yu-chou",fullName:"Kuan-Yu Chou"}]}],onlineFirstChaptersFilter:{topicId:"1",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"83004",title:"Pyridine Heterocycles in the Therapy of Oncological Diseases",slug:"pyridine-heterocycles-in-the-therapy-of-oncological-diseases",totalDownloads:1,totalDimensionsCites:null,doi:"10.5772/intechopen.106406",abstract:"Oncological diseases pose a major challenge for modern medicine. Heterocyclic compounds play a vital role in modern medical and pharmaceutical science as most medicinal substances incorporate them. Nitrogen-containing heterocycles serve as the basis of numerous drugs and, therefore, are deeply involved in the design and synthesis of promising new therapeutic agents. Pyridine or pyrimidine scaffolds, with a number of substituents attached, comprise a large portion of FDA-approved drugs. They are chemically stable in the human body, manifest an affinity for DNA via hydrogen bonding, and present an opportunity for the development of novel anticancer agents. A large number of pyridine-based molecules are synthesized and tested for anticancer activity each year. The present chapter aims to introduce the most current synthetic approaches, published in scientific literature, and would also elaborate on structure-activity relationships described therein.",book:{id:"11562",title:"Chemistry with Pyridine Derivatives",coverURL:"https://cdn.intechopen.com/books/images_new/11562.jpg"},signatures:"Lozan T. Todorov and Irena P. Kostova"},{id:"82999",title:"Understanding the Artificial Intelligence Implementation for Allocating an Order to a Seller among Multiple Sellers Who Sell the Same Product",slug:"understanding-the-artificial-intelligence-implementation-for-allocating-an-order-to-a-seller-among-m",totalDownloads:0,totalDimensionsCites:null,doi:"10.5772/intechopen.105560",abstract:"E-commerce sectors are growing rapidly worldwide and it adopts the new technological innovation drastically, such as embracing artificial intelligence in e-commerce sectors. Machine learning adaptation in e-commerce sectors is the most and much news already published by giant e-commerce companies, such as Amazon and eBay. The aim of this paper is to find out how artificial intelligence helps the e-commerce platform to choose a seller from multiple sellers when the same products or listings are sold by multiple sellers. When a customer will place the order, then who will get the order of the customer as multiple sellers sell the item within the same product listings. In the research, it is figured out that machine learning techniques are normally used for the selection of the seller where the prior points used for finding the appropriate seller are feedback or ratings, seller products location or distance from the customer, advertising or PPC or campaign, discounts, etc.",book:{id:"11914",title:"E-service Digital Innovation",coverURL:"https://cdn.intechopen.com/books/images_new/11914.jpg"},signatures:"Md. Imtiaz Ahmed"},{id:"83003",title:"Rheology of Heavy Oils",slug:"rheology-of-heavy-oils",totalDownloads:0,totalDimensionsCites:null,doi:"10.5772/intechopen.105666",abstract:"The problems of heavy oil rheology, accompanied by physical phenomena of the formation and destruction of coagulation disordered structures and aggregates as a result of the hydrodynamic interaction of particles (asphaltenes, paraffins, resins, and solid-phase particles) contained in the oil, which significantly affect its properties and flow, are considered and analyzed. Rheological models of viscous-plastic heavy oils are considered and developed, consistent with a variety of experimental data. New rheological models for viscous-plastic heavy oils are proposed, which make it possible to generalize many existing models. It is noted that the variety of rheological models for heavy oils is determined by the conditions for the formation of disordered structures in the bulk of the oil flow. For heavy oils, a nonlinear equation for filtration in porous media is proposed, depending on the shear stress, pressure gradient, effective viscosity of the oil, and a number of other parameters. An analytical solution to this equation is proposed, which is consistent with the experimental data. Models for the settling rate and drag coefficient of particles in heavy oils are proposed. Applied problems of rheology aimed at improving the rheological properties of heavy oil during their processing as a result of creating a recirculation scheme at an operating oil refining unit are considered.",book:{id:"11542",title:"Crude Oil - Emerging Downstream Processing Technologies",coverURL:"https://cdn.intechopen.com/books/images_new/11542.jpg"},signatures:"Gudret Isfandiyar Kelbaliyev, Dilgam Babir Tagiyev and Manaf Rizvan Manafov"},{id:"82929",title:"Prediction of Solubility and Miscibility Parameters of Bismuth-Arsenic Complex and Amorphous Mineral Compounds Using Molecular Dynamics Simulation",slug:"prediction-of-solubility-and-miscibility-parameters-of-bismuth-arsenic-complex-and-amorphous-mineral",totalDownloads:1,totalDimensionsCites:null,doi:"10.5772/intechopen.106316",abstract:"Bismuth is one of the most difficult impurities to remove in mining concentrates and low concentrations generate problems in silver and copper refineries. Therefore, financial penalties are established when concentrations exceed 0.05%. Some researchers had used arsenic to remove bismuth with results of up to 52% of extraction. Unfortunately, this mechanism is not yet fully understood. The objective of this research was to obtain the solubility parameters of amorphous mineral compounds, including bismuth-based compounds, through computational simulation using molecular dynamics. The composition of the mineral sample was determined by X-ray diffraction and the crystalline species were obtained and modeled using Materials Studio software. The nanostructures were optimized by an energy minimization methodology using the Broyden-Fletcher-Goldfarb-Shanno algorithm and were validated using the figure of merit equation and density. Simulations were performed using the Universal Force Field at constant pressure and temperature. The results of the minerals identified in the sample were compared with arsenic trioxide, indicating miscibility between As2O3 and Bi2O3, possible miscibility with 10 other minerals, and immiscibility with the rest. The results indicate that As2O3 can be successfully used for the removal of Bi2O3 without a negative effect on the recovery of other minerals of higher commercial value.",book:{id:"11467",title:"Bismuth-Based Nanostructured Materials",coverURL:"https://cdn.intechopen.com/books/images_new/11467.jpg"},signatures:"Francisco Adrián De la Torre-Martínez, Efren Delgado, María Dolores Josefina Rodríguez Rosales, Hiram Medrano-Roldán, Javier López-Miranda and Damián Reyes-Jáquez"},{id:"82940",title:"Role of Surface Defects and Optical Band-gap Energy on Photocatalytic Activities of Titanate-based Perovskite Nanomaterial",slug:"role-of-surface-defects-and-optical-band-gap-energy-on-photocatalytic-activities-of-titanate-based-p",totalDownloads:0,totalDimensionsCites:null,doi:"10.5772/intechopen.106253",abstract:"In recent years, water pollution has become one of the major challenges faced by humans because of consistent rise in population and industrial activities. 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Refractory is used to line the furnace or any other vessel used for melting or holding of the molten metal. This chapter has discussed the different type of furnaces used for the melting of cast iron, the special features of those furnaces and the operational parameters of those furnaces with special emphasis on the coreless induction furnace, which is most commonly used. It has dealt with the installation practices of the refractory lining and also has discussed the mode of failure of the refractory lining and the precautions to be taken during installation and during use.",book:{id:"11766",title:"Cast Iron - Production, Properties, Characterization, and Casting Defects Analysis",coverURL:"https://cdn.intechopen.com/books/images_new/11766.jpg"},signatures:"Prasunjit Sengupta"}],onlineFirstChaptersTotal:795},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:"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"}}}},{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"}}}}]},series:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. 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Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:2,paginationItems:[{id:"1",title:"Oral Health",coverUrl:"https://cdn.intechopen.com/series_topics/covers/1.jpg",isOpenForSubmission:!0,editor:{id:"173955",title:"Prof.",name:"Sandra",middleName:null,surname:"Marinho",slug:"sandra-marinho",fullName:"Sandra Marinho",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRGYMQA4/Profile_Picture_2022-06-01T13:22:41.png",biography:"Dr. Sandra A. Marinho is an Associate Professor and Brazilian researcher at the State University of Paraíba (Universidade Estadual da Paraíba- UEPB), Campus VIII, located in Araruna, state of Paraíba since 2011. She holds a degree in Dentistry from the Federal University of Alfenas (UNIFAL), while her specialization and professional improvement in Stomatology took place at Hospital Heliopolis (São Paulo, SP). Her qualifications are: a specialist in Dental Imaging and Radiology, Master in Dentistry (Periodontics) from the University of São Paulo (FORP-USP, Ribeirão Preto, SP), and Doctor (Ph.D.) in Dentistry (Stomatology Clinic) from Hospital São Lucas of the Pontifical Catholic University of Rio Grande do Sul (HSL-PUCRS, Porto Alegre, RS). She held a postdoctoral internship at the Federal University from Jequitinhonha and Mucuri Valleys (UFVJM, Diamantina, MG). She is currently a member of the Brazilian Society for Dental Research (SBPqO) and the Brazilian Society of Stomatology and Pathology (SOBEP). Dr. Marinho's experience in Dentistry mainly covers the following subjects: oral diagnosis, oral radiology; oral medicine; lesions and oral infections; oral pathology, laser therapy and epidemiological studies.",institutionString:null,institution:{name:"State University of Paraíba",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null},{id:"2",title:"Prosthodontics and Implant Dentistry",coverUrl:"https://cdn.intechopen.com/series_topics/covers/2.jpg",isOpenForSubmission:!0,editor:{id:"179568",title:"Associate Prof.",name:"Wen Lin",middleName:null,surname:"Chai",slug:"wen-lin-chai",fullName:"Wen Lin Chai",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRHGAQA4/Profile_Picture_2022-05-23T14:31:12.png",biography:"Professor Dr. Chai Wen Lin is currently a lecturer at the Department of Restorative Dentistry, Faculty of Dentistry of the University of Malaya. She obtained a Master of Dental Science in 2006 and a Ph.D. in 2011. Her Ph.D. research work on the soft tissue-implant interface at the University of Sheffield has yielded several important publications in the key implant journals. She was awarded an Excellent Exchange Award by the University of Sheffield which gave her the opportunity to work at the famous Faculty of Dentistry of the University of Gothenburg, Sweden, under the tutelage of Prof. Peter Thomsen. In 2016, she was appointed as a visiting scholar at UCLA, USA, with attachment in Hospital Dentistry, and involvement in research work related to zirconia implant. In 2016, her contribution to dentistry was recognized by the Royal College of Surgeon of Edinburgh with her being awarded a Fellowship in Dental Surgery. She has authored numerous papers published both in local and international journals. She was the Editor of the Malaysian Dental Journal for several years. Her main research interests are implant-soft tissue interface, zirconia implant, photofunctionalization, 3D-oral mucosal model and pulpal regeneration.",institutionString:null,institution:{name:"University of Malaya",institutionURL:null,country:{name:"Malaysia"}}},editorTwo:{id:"479686",title:"Dr.",name:"Ghee Seong",middleName:null,surname:"Lim",slug:"ghee-seong-lim",fullName:"Ghee Seong Lim",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003ScjLZQAZ/Profile_Picture_2022-06-08T14:17:06.png",biography:"Assoc. Prof Dr. Lim Ghee Seong graduated with a Bachelor of Dental Surgery from University of Malaya, Kuala Lumpur in 2008. He then pursued his Master in Clinical Dentistry, specializing in Restorative Dentistry at Newcastle University, Newcastle, UK, where he graduated with distinction. He has also been awarded the International Training Fellowship (Restorative Dentistry) from the Royal College of Surgeons. His passion for teaching then led him to join the faculty of dentistry at University Malaya and he has since became a valuable lecturer and clinical specialist in the Department of Restorative Dentistry. He is currently the removable prosthodontic undergraduate year 3 coordinator, head of the undergraduate module on occlusion and a member of the multidisciplinary team for the TMD clinic. He has previous membership in the British Society for Restorative Dentistry, the Malaysian Association of Aesthetic Dentistry and he is currently a lifetime member of the Malaysian Association for Prosthodontics. Currently, he is also the examiner for the Restorative Specialty Membership Examinations, Royal College of Surgeons, England. He has authored and co-authored handful of both local and international journal articles. 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She graduated from Gazi University Faculty of Dentistry, Ankara, Turkey in 2000. \r\nLater she received her Ph.D. degree from the Oral Diagnosis and Radiology Department; which was recently renamed as Oral and Dentomaxillofacial Radiology, from the same university. \r\nShe is working as a full-time Associate Professor and is a lecturer and an academic researcher. \r\nHer expertise areas are dental caries, cancer, dental fear and anxiety, gag reflex in dentistry, oral medicine, and dentomaxillofacial radiology.",institutionString:"Gazi University",institution:{name:"Gazi University",institutionURL:null,country:{name:"Turkey"}}}]},{type:"book",id:"7139",title:"Current Approaches in Orthodontics",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7139.jpg",slug:"current-approaches-in-orthodontics",publishedDate:"April 10th 2019",editedByType:"Edited by",bookSignature:"Belma Işık Aslan and Fatma Deniz Uzuner",hash:"2c77384eeb748cf05a898d65b9dcb48a",volumeInSeries:2,fullTitle:"Current Approaches in Orthodontics",editors:[{id:"42847",title:"Dr.",name:"Belma",middleName:null,surname:"Işik Aslan",slug:"belma-isik-aslan",fullName:"Belma Işik Aslan",profilePictureURL:"https://mts.intechopen.com/storage/users/42847/images/system/42847.jpg",biography:"Dr. Belma IşIk Aslan was born in 1976 in Ankara-TURKEY. 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Her knowledge of English is at an advanced level.",institutionString:"Gazi University Dentistry Faculty Department of Orthodontics",institution:null}]},{type:"book",id:"7572",title:"Trauma in Dentistry",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7572.jpg",slug:"trauma-in-dentistry",publishedDate:"July 3rd 2019",editedByType:"Edited by",bookSignature:"Serdar Gözler",hash:"7cb94732cfb315f8d1e70ebf500eb8a9",volumeInSeries:3,fullTitle:"Trauma in Dentistry",editors:[{id:"204606",title:"Dr.",name:"Serdar",middleName:null,surname:"Gözler",slug:"serdar-gozler",fullName:"Serdar Gözler",profilePictureURL:"https://mts.intechopen.com/storage/users/204606/images/system/204606.jpeg",biography:"Dr. Serdar Gözler has completed his undergraduate studies at the Marmara University Faculty of Dentistry in 1978, followed by an assistantship in the Prosthesis Department of Dicle University Faculty of Dentistry. Starting his PhD work on non-resilient overdentures with Assoc. Prof. Hüsnü Yavuzyılmaz, he continued his studies with Prof. Dr. Gürbüz Öztürk of Istanbul University Faculty of Dentistry Department of Prosthodontics, this time on Gnatology. He attended training programs on occlusion, neurology, neurophysiology, EMG, radiology and biostatistics. In 1982, he presented his PhD thesis \\Gerber and Lauritzen Occlusion Analysis Techniques: Diagnosis Values,\\ at Istanbul University School of Dentistry, Department of Prosthodontics. As he was also working with Prof. Senih Çalıkkocaoğlu on The Physiology of Chewing at the same time, Gözler has written a chapter in Çalıkkocaoğlu\\'s book \\Complete Prostheses\\ entitled \\The Place of Neuromuscular Mechanism in Prosthetic Dentistry.\\ The book was published five times since by the Istanbul University Publications. Having presented in various conferences about occlusion analysis until 1998, Dr. Gözler has also decided to use the T-Scan II occlusion analysis method. Having been personally trained by Dr. Robert Kerstein on this method, Dr. Gözler has been lecturing on the T-Scan Occlusion Analysis Method in conferences both in Turkey and abroad. Dr. Gözler has various articles and presentations on Digital Occlusion Analysis methods. He is now Head of the TMD Clinic at Prosthodontic Department of Faculty of Dentistry , Istanbul Aydın University , Turkey.",institutionString:"Istanbul Aydin University",institution:{name:"Istanbul Aydın University",institutionURL:null,country:{name:"Turkey"}}}]},{type:"book",id:"7060",title:"Gingival Disease",subtitle:"A Professional Approach for Treatment and Prevention",coverURL:"https://cdn.intechopen.com/books/images_new/7060.jpg",slug:"gingival-disease-a-professional-approach-for-treatment-and-prevention",publishedDate:"October 23rd 2019",editedByType:"Edited by",bookSignature:"Alaa Eddin Omar Al Ostwani",hash:"b81d39988cba3a3cf746c1616912cf41",volumeInSeries:4,fullTitle:"Gingival Disease - A Professional Approach for Treatment and Prevention",editors:[{id:"240870",title:"Ph.D.",name:"Alaa Eddin Omar",middleName:null,surname:"Al Ostwani",slug:"alaa-eddin-omar-al-ostwani",fullName:"Alaa Eddin Omar Al Ostwani",profilePictureURL:"https://mts.intechopen.com/storage/users/240870/images/system/240870.jpeg",biography:"Dr. Al Ostwani Alaa Eddin Omar received his Master in dentistry from Damascus University in 2010, and his Ph.D. in Pediatric Dentistry from Damascus University in 2014. 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He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. 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Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:{name:"Association for Computing Machinery",country:{name:"United States of America"}}},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. 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Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:'"Politechnica" University Timişoara',institution:null},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"426586",title:"Dr.",name:"Oladunni A.",middleName:null,surname:"Daramola",slug:"oladunni-a.-daramola",fullName:"Oladunni A. Daramola",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Federal University of Technology",country:{name:"Nigeria"}}},{id:"357014",title:"Prof.",name:"Leon",middleName:null,surname:"Bobrowski",slug:"leon-bobrowski",fullName:"Leon Bobrowski",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Bialystok University of Technology",country:{name:"Poland"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"354126",title:"Dr.",name:"Setiawan",middleName:null,surname:"Hadi",slug:"setiawan-hadi",fullName:"Setiawan Hadi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Padjadjaran University",country:{name:"Indonesia"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"332603",title:"Prof.",name:"Kumar S.",middleName:null,surname:"Ray",slug:"kumar-s.-ray",fullName:"Kumar S. Ray",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Statistical Institute",country:{name:"India"}}},{id:"415409",title:"Prof.",name:"Maghsoud",middleName:null,surname:"Amiri",slug:"maghsoud-amiri",fullName:"Maghsoud Amiri",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Allameh Tabataba'i University",country:{name:"Iran"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}}]}},subseries:{item:{id:"24",type:"subseries",title:"Computer Vision",keywords:"Image Analysis, Scene Understanding, Biometrics, Deep Learning, Software Implementation, Hardware Implementation, Natural Images, Medical Images, Robotics, VR/AR",scope:"The scope of this topic is to disseminate the recent advances in the rapidly growing field of computer vision from both the theoretical and practical points of view. Novel computational algorithms for image analysis, scene understanding, biometrics, deep learning and their software or hardware implementations for natural and medical images, robotics, VR/AR, applications are some research directions relevant to this topic.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",hasOnlineFirst:!0,hasPublishedBooks:!1,annualVolume:11420,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null,series:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403"},editorialBoard:[{id:"1177",title:"Prof.",name:"António",middleName:"J. 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