\r\n\tTo viable rural development has a vital role for rural communities. In the design of policies to be successful that affect them rural people have to decide and implement. According to this, it is a critical point to involve the poor and disadvantaged, along with related stakeholders, agricultural and rural development. Hence, for the sustainable development by international initiatives and all other institutions were searched and to be present the agricultural and related research results. To help support the effort, various governmental and non-governmental agencies established fundings for sustainable rural development research and fostered the development of human well-being goals in rural areas via national and international initiatives. In this context, most efforts resulted in successful cases. This book will intend to provide the reader with a comprehensive overview of the theory, approaches, strategies, and cases, and key elements and challenges of sustainable development, and Bioeconomy, Green and Circular economy for sustainability, and UN SDGs-Agenda 2030 and EU Green Deal.
\r\n
\r\n\tI believe that this work will be fundamental in the field of SDG, and it will be a guiding, idea-generating key for researchers, practitioners, rural community, and policy decision-makers, and I hope that together we will establish sustainable rural life and development around the world. \r\n\t
",isbn:"978-1-80355-421-1",printIsbn:"978-1-80355-420-4",pdfIsbn:"978-1-80355-422-8",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,hash:"759ff88d0677241044b6c8037b924618",bookSignature:"Prof. Dr. Orhan Özçatalbaş",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11253.jpg",keywords:"Theory, Approaches, Social Economic, Environment, Bioeconomy, Green Economy, Human Well-Being, Peace, Green Deal, Transformative Policies, Agriculture, Farmers",numberOfDownloads:474,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"September 9th 2021",dateEndSecondStepPublish:"October 7th 2021",dateEndThirdStepPublish:"December 6th 2021",dateEndFourthStepPublish:"February 24th 2022",dateEndFifthStepPublish:"April 25th 2022",remainingDaysToSecondStep:"7 months",secondStepPassed:!0,currentStepOfPublishingProcess:5,editedByType:null,kuFlag:!1,biosketch:"Dr. Ozcatalbas studies rural development and extension, ICT, and energy policy. He has been a visiting scientist for Postdoc, at Leibniz Hannover University, Institute of Horticultural Economics. He is a member of the Turkish Agricultural Economics Association, and Association for International Agricultural and Extension Education, Society of Agricultural Economics, Scientific Committee Member of the Turkish Foundation for Combating Soil Erosion.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"170206",title:"Prof.",name:"Dr. Orhan",middleName:null,surname:"Özçatalbaş",slug:"dr.-orhan-ozcatalbas",fullName:"Dr. Orhan Özçatalbaş",profilePictureURL:"https://mts.intechopen.com/storage/users/170206/images/system/170206.png",biography:"Dr. Orhan Özçatalbaş graduated from Çukurova University Agricultural Faculty at Adana, Turkey in 1986 and completed his PhD in Agricultural Economics in the same institution in 1994. He joined to the Akdeniz University at Antalya in 1998 as an assistant professor of agricultural economics and promoted to professorship in 2011. Dr. Özçatalbas concentrated his work in the field of rural extension and development starting with his MSc and PhD studies, and ICT in agriculture, and rural tourism and development. He has been as a visitor scientist for Postdoc, in Leibniz Hannover University, Institute of Horticultural Economics (Institut für Gartenbau ökonomie), 1999-2000. Dr. Özçatalbaş’s research was focused on the information systems and rural development, and rural energy policy. Dr. Özçatalbaş is a member of the Turkish Agricultural Economics Association, and Association for International Agricultural and Extension Education, Society of Agricultural Economics, Scientific Committe Member of the Turkish Foundation for Combating Soil Erosion (TEMA). Dr Özçatalbaş is also an editor of the International Journal of Rural Tourism and Development (IRTAD, http://www.turizmvekalkinma.org/ ). He has around 100 papers in national and international journals, as well as 6 book chapters and 2 books. 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1. Introduction
Herbicides are the pesticides most applied in modern agriculture for weed control worldwide, in pre-emergency, directly in the soil, or in post-emergence in leaves. Regardless of the application of herbicides, these reach the soil and may persist with residual effect (carryover) or contaminate the non-target organism and environment. The behavior of the herbicide in the soil is governed by the physico-chemical properties of the molecule and the soil and can have retention, transport, and transformation processes [1]. In transformation processes, the herbicide molecule is degraded into secondary compounds (metabolites) by physical (photodegradation), chemical, and biological processes (Figure 1) [2].
Figure 1.
Degradation process (chemical, biological, and photodegradation) of herbicides in the soil.
Biological degradation is the most common way to dissipate the herbicides in the environment, and it is carried out mainly by the soil microbiota which use the herbicide molecules as an energy source and transforms it into compounds without herbicidal action, the process is also known as detoxification [3, 4]. The chemical complexity of the herbicide determines the higher or lower facility of microorganisms to degrade the molecules, characterizing it in low or high persistence in the soil [5], being measured by degradation or dissipation half-life time (DT50) in laboratory or field conditions, respectively [2].
The degradation of herbicides in the soil by microorganisms can be aerobic (with oxygen) or anaerobic (without oxygen). In the presence of oxygen, the herbicide is mineralized in CO2 and water. Without oxygen, the herbicide is mineralized in CH4, CO2, and water [6]. The efficiency of aerobic degradation of herbicides is higher than the anaerobic. The aerobic bacteria oxygen act as an oxidizing agent, and they are present in the region of the soil where there is a higher content of organic matter (OM) and an excellent soil-water-air ratio for the microbiota [7]. In conditions of absence of oxygen, the herbicide can become more persistent in the soil and its degradation pathways are different from microorganisms with aerobic metabolism [8].
The addition of organic materials, like biochar, in the soil directly influences the microbial community, responsible for herbicide degradation [9]. Biochar is a carbonaceous material produced by different feedstocks in pyrolysis conditions with the limited presence of oxygen. Naturally, biochar is found in the anthropogenic soil, known as “Terra Preta de Índio”, i.e., Amazonian Dark Earths in the Amazon, which gave rise to synthetic biochar produced worldwide [10]. Pyrolyzed feedstocks and pyrolysis conditions determine the physico-chemical properties of biochar, such as nutrient content, porosity, specific surface area, among others.
In agricultural soils, the biochar has been added to increase porosity, water-holding capacity, reduce acidity, sequester carbon, reduction of greenhouse gas emissions, plant growth promotion, improve soil fertility, and immobilize (remediation) herbicides by increasing sorption and microbial diversity [11]. This chapter showed that is possible to recommend the addition of biochar in the soil to interfere in the persistence or remediation processes of the herbicide.
2. Biochar characteristics
Biochar is the carbon-rich product resulting from the pyrolysis of organic residues such as wood, animal wastes, crop residues, and biosolids [12]. The feedstock usually determines the chemical composition, quantity of macropores, and nutrient content in biochar. Pyrolysis conditions (such as temperature, heating rate, and residence time) determine the morphology and surface structure changes in feedstock and C/H content [11]. The dominant properties affecting herbicide sorption and degradation by biochar include porosity, specific surface area, pH, functional groups, carbon content and aromatic structure, and mineralogical composition [13].
More porous structures and higher specific surface area will result in higher sorption capacities and lower degradation of herbicides [13]. Higher pH of biochar can accelerate the hydrolysis of organophosphorus and carbamate herbicides in the soil through the alkali catalysis mechanism [14]. Surface functional groups including carboxylic (–COOH), hydroxyl (–OH), lactonic, amide, and amine groups are essential for the sorption capacity of biochar [15, 16]. Carbon content and aromatic structure can increase herbicide sorption and reduce their bioavailability to be degraded [13]. The mineralogical composition can reduce the bioavailability of herbicides through surface chelation and/or surface acidity mechanisms [17].
Biochar amendment also affects the degradation of herbicides in the soil in several ways and the effects can be either stimulatory or suppressive [18]. Biochar may contain available nutrients that stimulate overall microbial activity and, thus, degradation of herbicides [19, 20]. However, the degradation of herbicides in biochar-amended soils is most commonly reduced because herbicide sorption increases [21]. Biochar also sorbs dissolved organic carbon (OC), which can contribute to co-metabolic biodegradation [22]. Some changes in the degradation rate can be a result of indirect effects of biochar amendment, e.g., changes in soil pH, albedo, and aeration [18].
3. Microbial diversity in biochar-amended soils
Soil correction with biochar can affect the soil microbiota in different ways: (1) It can provide an increase in the microbiota [23, 24]; (2) It can negatively affect the resident microbiota by the amount of organic substances (volatile compounds) formed in the production of biochar [25, 26]; or (3) It may not effect the soil microbiota [27, 28]. The possible interaction mechanisms of biochar and soil microbiota are exemplified in Figure 2 [29, 30]. The physical–chemical structures of the biochar surface (macro and micropores, roughness, surface load, and hydrophobicity) are a refuge for the soil microbiota [31, 32], where microorganisms can find nutrients and ions adsorbed in biochar particles useful for their growth [29, 33]. In addition, biochars can contain significant amounts of organic substances (volatile organic compounds and free radicals) [34, 35], improve the soil’s physical–chemical properties, which are important for microbial growth by modifying habitats (aeration, water content, and pH) [36], affect the enzymatic activity of the soil [37, 38], and increase the sorption of herbicides, reducing the bioavailability and toxicity of these agrochemicals for the soil microbiota [29, 39, 40].
Figure 2.
Interactions between biochar and soil microbiota and environmental effects. Source: Adapted from Zhu et al. [29].
Biochar-amended soil has a higher respiratory rate and microbial communities due to carbon mineralization by soil microorganisms [41]. Microbial biomass carbon and nitrogen increased by 18% and 63% with the application of 1% of sugarcane bagasse biochar [42]. The role of biochar nutrients in the biodegradation of coexisting dichlobenil and atrazine in soil by their respective bacterial degraders was evaluated. The degradation increased with increasing biochar content, due to nutritional stimulation on microbial activities [43]. The application of hardwood-derived biochar increased atrazine mineralization by stimulating atrazine-adapted microflora compared to unamended soil [19]. Soil amended with biochar derived from wheat straw increased the abundance and diversity rate of bacteria and fungi beneficial to plants in the rhizosphere of wheat seedlings [24]. In addition, these microorganisms use fomesafen as a source of nutrients, which favors their proliferation from the soil [24]. The change and proliferation of the soil microbiota with the addition of biochar is related to the chemical characteristics of biochar (mainly pH and nutrient content) and physical properties (pore size, pore-volume, and specific surface area), OM content, and water retention that provide favorable conditions for soil microbiota [28]. Although soil microbial biomass is generally benefited with the addition of biochar, the response depends on the type of raw material, pyrolysis temperature, and biochar application rate, since these factors directly interfere with the physical–chemical characteristics of biochar and consequently on the response of the microbiota in herbicide degradation. The proposed mechanisms involved in biochar and microbiota interactions require further studies to elucidate the impact of biochar on soil microbial activity.
4. Influence of biochar amendment in soil on the herbicide degradation
Herbicides are applied to the soil to control weeds during a certain time after application; however, long persistence may affect the subsequent crop, a process known as carryover. Therefore, the process of degradation of the herbicide is important for the dissipation of herbicides in the soil when the intention is the remediation of the product. However, under agronomic conditions in which a residual effect of the herbicide on the soil is desired for weed control, the addition of biochar can reduce the persistence of the product, consequently reducing its effectiveness in management [2, 9, 44].
The degradation of herbicide molecules into secondary compounds (metabolites) can occur by biotic (biological degradation) or abiotic (hydrolysis, reduction, oxidation, and photolysis) processes [45]. Biodegradation, carried out by the soil microbiota (bacteria, fungi, protozoa, and actinomycetes), is the main decomposition pathway for most herbicides [13, 46]. Microorganisms can use herbicide molecules as an energy source and transform them into compounds without herbicide action, a process known as catabolism, or through co-metabolism, in which herbicide degradation requires the presence of a growth substrate that is used as primary carbon and energy source [3, 47], i.e., microorganism does not obtain energy or benefit from the herbicide degradation. The transformation process is usually mediated by non-specific enzymes that are capable to transform various organic compounds [4]. Herbicides have varied susceptibility to microbial degradation depending on the complexity of the molecule that influences low or high persistence in the soil [5].
Microbial degradation generally reduces the DT50 of herbicides in the soil; however, the addition of biochar, according to studies performed, may increase or decrease the DT50 values, depending on the herbicide and pyrolyzed feedstock (Table 1). The high sorption capacity for herbicides in the biochar-amended soil decreases herbicide degradation, providing a higher DT50 than the unamended soil [46, 49]. For example, less atrazine degradation was observed in amended soils with sugarcane bagasse biochar (0.5% w/w) (Table 1), increasing in 15 days the DT50 of the herbicide in relation to unamended soil [49]. Flumioxazin DT50 increased by ~10 days when bamboo biochar (10% w/w) was added compared to unamended soil (Table 1) [51]. The DT50 of 2-methyl-4-chlorophenoxyaceticacid (MCPA) increased from 5.2 days (unamended soil) to 21.5 days in amended soil with 1% of wheat straw biochar [59].
Effect of biochar amendment in soil on the degradation half-live time (DT50 - days) of different herbicides.
Organic Matter; bApplication rate in relation to soil mass (ww−1); cData not available; dDegradation (%); eMineralization (%) to CO2; fHerbicide concentration after incubation period (μg kg−1).
The application of biochar can also increase soil microbial activity, improving herbicide degradation [29, 60]. The increase in microbial biomass may be due to the addition of available organic substrates, which are the main energy source readily available to soil microorganisms [55]. The high content of dissolved OC in the soil MO can reduce herbicide sorption by biochar particles, as dissolved OC competes with herbicide molecules to occupy available biochar sorption sites [61]. Biochar also sorbs dissolved OC, which can contribute to co-metabolic biodegradation [22]. Some changes in degradation rate may result from indirect effects of biochar amendment, e.g., changes in soil pH and aeration [18]. The highest degradation of oxyfluorfen was observed in amended soils with different rates of application of rice husk biochar, decreasing DT50 between 2 and 23 days compared to unamended soil (Table 1) [50]. Alachlor mineralization increased up to 50% using biochar derived from soybean stoves, sugarcane bagasse, and wood chips compared to unamended soil (Table 1) [58].
Photolysis and hydrolysis are the main abiotic processes involved in herbicide degradation [48, 62]. Photolysis or photodegradation occurs when herbicides are exposed to sunlight [63] and can be direct (a herbicide molecule absorbs light energy, is later excited and transformed) or indirect (species photochemically produced in the soil matrix react with the herbicide molecule triggering its degradation) [64]. Water degrades herbicides by dividing large molecules into smaller molecules, breaking them in the process called hydrolysis [65]. The hydrolysis of herbicides in the soil can be influenced by several factors such as dissolved ion concentration, soil pH, and content of clays and metal oxides capable of catalyzing this herbicide degradation process [14, 66].
The application of biochar can influence the degradation of herbicides by hydrolysis and photolysis, since persistent free radicals existing or photogenerated in biochars can react with the herbicide by the activation of other free radicals such as hydroxyl, sulfate, anion, and superoxide [67, 68]. In addition, the increase in soil pH, the presence of active groups on the mineral surface of biochar, and the high sorption of herbicides have a direct effect on the chemical degradation processes of herbicides [64, 66]. Atrazine was hydrolyzed by 27.9% in the presence of biochar derived from pig manure (700°C) after 12 h due to the mineral surface and dissolved metal ions released from biochars that catalyze hydrolysis [66]. In contrast, imazapic and imazapyr were resistant to degradation by hydrolysis in amended soil with biochar derived from empty fruit bunch of oil palm and rice husk, and their DT50’s increased by ~6 to 12 days because the photodegradation rate diminished [53] (Table 1). The addition of biochar to the soil at 1 or 5% inhibited the photodegradation of metribuzin and its metabolites deamino (DA), deaminodiketo (DADK), and diketometribuzin (DK), which increased their DT50’s due to the immobilization of these compounds the surface layer of the biochar [64]. Therefore, the application of biochar has a direct impact on herbicide degradation processes and should be constantly examined for its application in the soil.
5. Factors affecting herbicide degradation in biochar-amended soils
The impact on the degradation of herbicides due to their high sorption in the biochar particles depends on the rate of biochar applied to the soil. The application of different rates of application of hardwood biochar in Rhodic Ferralsol soil increased atrazine degradation by 49% (0.1% of biochar), 51% (1.0% of biochar), and 62% (5.0% of biochar) after 88 days of incubation (Table 1) [19]. DT50 of isoproturon in unamended Alfisol was 16 days, however, when biochar was added at 1.5 and 5%, DT50 increased to 67 and 136 days, respectively (Table 1) [46], i.e., the persistence of isoproturon is prolonged as the rate of biochar added to the soil increases. DT50 of fomesafen increased from 34.6 days in unamended soil to 51, 83, and 160 days in amended soils with rice husk biochar at 0.5, 1, and 2%, respectively [61]. The increased persistence of fomesafen can be explained by the higher sorb capacity of biochar and, therefore, little bioavailability of the herbicide for microbial degradation.
Pyrolysis temperature defines the physicochemical characteristics of biochars [69]. Generally, biochar produced at relatively high pyrolysis temperatures (>500°C) presents an increase in specific surface area, microporosity, and hydrophobicity, improving herbicide sorption [70]. However, even with higher herbicide sorption capacity, degradation at high pyrolysis temperatures may be more intensified than low temperatures. The addition of sugarcane bagasse biochar produced at 700°C in clay soil decreased the DT50 of metribuzin from 57 (unamended soil) to 39 days, but when biochar was produced at 350°C, DT50 went from 57 to 74 days (Table 1) [56]. These conflicting results could be due to the impact of ash on the alkalinity of the soil amended with biochar produced at 700°C (20.3% of ash), which increased the soil pH and improved the conditions for the degradation of metribuzin, and to the greater amount of dissolved OC from biochar produced at 350°C (3.78 mg g−1), which is more preferred by microorganisms as substrate, increasing the persistence of the herbicide. The variation in pyrolysis temperature of eucalyptus wood residue biochar affected the total hexazinone unavailable (mineralized + non-extractable residue) being higher for 850°C (46%) and 950°C (49%) compared to biochar pyrolised at 650°C (33%) and 750°C (42%) [71]. The addition of biochar did not alter the mineralization of hexazinone, but it did reduce the bioavailability of this herbicide in the soil due to the greater amount of non-extracted residue, reducing the risk of environmental contamination [71].
Aging alters the properties of biochar, affecting the degradation of herbicides, however, these changes are not fully elucidated [72]. Glyphosate showed no variation in degradation in two tropical soils (Ultisol and Alfisol) amended with eucalyptus biochar aged [73]. The aging of soil-wood biochar mixtures (Betula sp. and Piceaabies) decreased glyphosate and diuron sorption compared to fresh biochar amended soil [18]. In addition, herbicide degradation was not affected by changes or biochar aging in the soils studied [18]. The degradation of S-metolachlor was not affected with the addition of three macadamia nutshell biochars aged [74]. The persistence of mesotrione in different soils amended with fresh and aged biochar was similar to unamended soils [75]. In contrast, the extractable amounts of picloram were 20 and 50% lower for soils amended with fresh and aged oak wood biochar, respectively, in relation to unamended soil [76]. The addition of 10% fresh biochar from the olive oil industry increased the DT50 of metribuzin from 20 (unamended soil) to 30.2 days, however, the DT50 decreased to 6.4 days with the addition of aged biochar, possibly because microorganisms in soil aged with biochar used metribuzin as a source of carbon and energy instead of the labile fraction of soil OM (Table 1) [55]. The effects of biochar on herbicide degradation in soils should not be generalized due to the different characteristics of biochars and the complexity of the soil system. The variation of temperature and application rate of biochar can bring different degradation responses for each herbicide studied. Furthermore, the aging of biochar in the soil can influence the bioavailability of herbicides in soil solution by altering the sorption capacity of the biochar; therefore, the conditions of pyrolysis, type of feedstock as well as aging must be taken into consideration when planning its use in agriculture and for soil remediation purposes [18].
6. Simultaneous use of herbicides and biochar
In an agricultural context, the property of biochar that offers potential for herbicide sorption (environmental remediation) can also decrease the efficacy of herbicides applied to the soil, influencing their bioavailability and susceptibility to leaching and consequently their degradation [77]. The bioavailability of diuron and microbial degradation was reduced in soils amended with rice straw biochar, which decreased the effectiveness of diuron to jungle rice (Echinocloa colona) control [78]. The addition of wheat straw biochar to the soil inactivated the herbicides atrazine and trifluralin, resulting in increased seed germination and biomass of annual ryegrass (Lolium rigidum). In this study, the efficacy of the herbicides for ryegrass control was achieved when the application doses were four times higher than recommended [44]. In a bioassay with Echinochloa colona, injuries 9 days after planting decreased with increasing application rates of rice straw biochar indicating that sorption of clomazone increased and directly influenced the bioavailability of herbicide in the soil [79]. The control efficiency of S-metolachlor was evaluated on green foxtail (Setaria viridis) in soil amended with wood biochar at different application rates (0, 0.5, 1, and 2%) [80]. S. viridis control at the highest application rate (2%) was lower than the other application rates evaluated, however, better than the control treatments (no herbicide) [80].
The biochar applied to soil also influences the soil physicochemical properties and the improved nutritional availability of these directly impacts crop growth and consequently weed growth [81]. Soil amended with walnut shell biochar (5 Mg ha−1) for 4 years was evaluated for weed control [82]. Weed density was dramatically higher in biochar-amended soils (60-78%) compared to unamended soil, being related to increased nutrient availability and improvements in soil physicochemical properties such as cation exchange capacity (CEC), density and porosity, increased soil aeration, and water retention. The application of 2 Mg ha−1 of cow bonechar prevented weed control by indaziflam which is related to the increase of soil fertility, especially the phosphorus and carbon content, and to the increase of pH because it is a basic material [83]. In addition, goosegrass (Eleusine indica) and crabgrass (Digitaria horizontalis) accounted for about 99.7% of the entire weed community infestation [83].
On the other hand, the decrease in efficacy depends on the characteristics of the herbicide evaluated. The dose of pretilachlor to inhibit 50% of E. colona emergence and biomass was higher in soil amended with rice-husk biochar, however, the effectiveness of pendimethalin in controlling E. colona was not influenced by the application rate of biochar [84]. The effectiveness on metribuzin in soils amended with biochar was evaluated by White Junior et al. [56]. The addition rates of biochar did not alter Palmer (Amaranthus palmeri) emergence, and it is possible that the residual activity was sufficient to reduce germination at any rate of biochar [56].
The addition of biochar to soil increases the sorption of different herbicides and reduces their effectiveness, which may result in the need for higher herbicide application rates, additional application times, or more weed control operations required [85]. Residual herbicides, applied in pre-emergence, can not provide good weed control regardless of soil type after biochar application. This does not necessarily mean that biochar should be avoided, however, when biochar is applied to the soil, management practices need to be adjusted to obtain appropriate weed control [86].
7. Conclusions
Modifying soil characteristics with biochar is a world-renowned emerging practice for either environmental and/or agronomic purposes, and the benefits these carbonaceous materials brig to the soil are clear. However, the pyrolysis conditions for biochar production directly interfere with the physical–chemical properties of the produced material, which govern the biochar-herbicide interactions. If the objective is to apply the herbicide in pre-emergence after the addition of biochar in the soil, care should be taken, as biochar can decrease or increase the persistence of the chemical product, interfering in the effectiveness of weed control over time. On the other hand, if the objective is herbicide remediation in contaminated soils, the interference of biochar in the bioavailability of the herbicide in the soil solution to increase soil microbiological diversity should be known.
Acknowledgments
The authors wish to thank the Coordination for the Improvement of Higher Education Personnel (CAPES - 88887.479265/2020-2100) and Foundation for Research Support of the State of Minas Gerais - Brazil (FAPEMIG - APQ-01378-21) for the financial support.
Conflict of interest
The authors declare no conflict of interest.
\n',keywords:"bioavailability, sorption, weed control, pollution soil",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/80003.pdf",chapterXML:"https://mts.intechopen.com/source/xml/80003.xml",downloadPdfUrl:"/chapter/pdf-download/80003",previewPdfUrl:"/chapter/pdf-preview/80003",totalDownloads:115,totalViews:0,totalCrossrefCites:0,totalDimensionsCites:0,totalAltmetricsMentions:1,impactScore:0,impactScorePercentile:0,impactScoreQuartile:0,hasAltmetrics:1,dateSubmitted:"November 22nd 2021",dateReviewed:"December 7th 2021",datePrePublished:"January 12th 2022",datePublished:"April 20th 2022",dateFinished:"January 12th 2022",readingETA:"0",abstract:"Biochar is a solid material derived from different feedstocks that is added to the soil for various agronomic and environmental purposes, such as nutrient sources and CO2 emission mitigators. In modern agriculture, the application of herbicides directly in the soil is common for pre-emergent weed control; however, biochars may interfere in the degradation processes of these agrochemicals, increasing or decreasing their persistence. Long persistence is desirable for some herbicides in determined cultivation systems, especially in monoculture, but persistence is undesirable in crop rotation and/or succession systems because the subsequent cropping can be sensitive to the herbicide, causing carryover problems. Therefore, knowing the interactions of biochar-herbicide is essential, since these interactions depend on feedstock, pyrolysis conditions (production temperature), application rate, biochar aging, among other factors; and the physical-chemical characteristics of the herbicide. This chapter shows that the addition of biochar in the soil interferes in the persistence or remediation processes of the herbicide, and taking advantage of the agricultural and environmental benefits of biochars without compromising weed control requires a broad knowledge of the characteristics of biochar, soil, and herbicide and their interactions.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/80003",risUrl:"/chapter/ris/80003",book:{id:"10681",slug:"biodegradation-technology-of-organic-and-inorganic-pollutants"},signatures:"Kamila Cabral Mielke, Kassio Ferreira Mendes, Rodrigo Nogueira de Sousa and Bruna Aparecida de Paula Medeiros",authors:[{id:"197720",title:"Ph.D.",name:"Kassio",middleName:null,surname:"Ferreira Mendes",fullName:"Kassio Ferreira Mendes",slug:"kassio-ferreira-mendes",email:"kassio_mendes_06@hotmail.com",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/197720/images/system/197720.png",institution:{name:"Universidade Federal de Viçosa",institutionURL:null,country:{name:"Brazil"}}},{id:"466168",title:"Dr.",name:"Kamila",middleName:null,surname:"Cabral Mielke",fullName:"Kamila Cabral Mielke",slug:"kamila-cabral-mielke",email:"dummy+1425223445273429346983@intechopen.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"466169",title:"Dr.",name:"Rodrigo",middleName:null,surname:"Nogueira de Sousa",fullName:"Rodrigo Nogueira de Sousa",slug:"rodrigo-nogueira-de-sousa",email:"dummy+14223525323644527834929346983@intechopen.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"466170",title:"Dr.",name:"Bruna",middleName:null,surname:"Aparecida de Paula Medeiros",fullName:"Bruna Aparecida de Paula Medeiros",slug:"bruna-aparecida-de-paula-medeiros",email:"dummy+1425225323523434457273429346983@intechopen.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. 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Pyrolysis of plant, animal and human waste: physical and chemical characterization of the pyrolytic products. Bioresource Technology. 2003;90:241-247'},{id:"B71",body:'Fernandes BCC, Mendes KF, Tornisielo VL, Teófilo TMS, Takeshita V, PSF d C, et al. Effect of pyrolysis temperature on eucalyptus wood residues biochar on availability and transport of hexazinone in soil. International journal of Environmental Science and Technology. 2021;19:499-514'},{id:"B72",body:'Martin SM, Kookana RS, Van Zwieten L, Krull E. Marked changes in herbicide sorption–desorption upon ageing of biochars in soil. Journal of Hazardous Materials. 2012;231:70-78'},{id:"B73",body:'Junqueira LV, Mendes KF, Sousa RND, Almeida CDS, Alonso FG, Tornisielo VL. Sorption-desorption isotherms and biodegradation of glyphosate in two tropical soils aged with eucalyptus biochar. Archives of Agronomy and Soil Science. 2020;66:1651-1667'},{id:"B74",body:'Trigo C, Spokas KA, Hall KE, Cox L, Koskinen WC. Metolachlor sorption and degradation in soil amended with fresh and aged biochars. Journal of Agricultural and Food Chemistry. 2016;64:3141-3149'},{id:"B75",body:'Gámiz B, Velarde P, Spokas KA, Cox L. Dynamic effect of fresh and aged biochar on the behavior of the herbicide mesotrione in soils. Journal of Agricultural and Food Chemistry. 2019b;67:9450-9459'},{id:"B76",body:'Gámiz B, Velarde P, Spokas KA, Celis R, Cox L. Changes in sorption and bioavailability of herbicides in soil amended with fresh and aged biochar. Geoderma. 2019a;337:341-349'},{id:"B77",body:'Cabrera A, Cox L, Spokas KURT, Hermosín MC, Cornejo J, Koskinen WC. Influence of biochar amendments on the sorption–desorption of aminocyclopyrachlor, bentazone and pyraclostrobin pesticides to an agricultural soil. Sci Total Environ. 2014;470:438-443'},{id:"B78",body:'Yang Y, Sheng G, Huang M. Bioavailability of diuron in soil containing wheat-straw-derived char. Sci Total Environ. 2006;354:170-178'},{id:"B79",body:'Xu C, Liu W, Sheng GD. Burned rice straw reduces the availability of clomazone to barnyardgrass. Sci Total Environ. 2008;392:284-289'},{id:"B80",body:'Graber ER, Tsechansky L, Gerstl Z, Lew B. High surface area biochar negatively impacts herbicide efficacy. Plant and Soil. 2012;353:95-106'},{id:"B81",body:'Genesio L, Miglietta F, Baronti S, Vaccari FP. Biochar increases vineyard productivity without affecting grape quality: Results from a four years field experiment in Tuscany. Agriculture, Ecosystems and Environment. 2015;201:20-25'},{id:"B82",body:'Khorram MS, Zhang G, Fatemi A, Kiefer R, Mahmood A, Jafarnia S, et al. Effect of walnut shell biochars on soil quality, crop yields, and weed dynamics in a 4-year field experiment. Environmental Science and Pollution Research. 2020;27:18510-18520'},{id:"B83",body:'Mendes KF, Furtado IF, Sousa RND, Lima ADC, Mielke KC, Brochado MGDS. Cow bonechar decreases indaziflam pre-emergence herbicidal activity in tropical soil. Journal of Environmental Science and Health, Part B. 2021;56:532-539'},{id:"B84",body:'Chauhan BS. Rice husk biochar influences seedling emergence of jungle rice (Echinochloa colona) and herbicide efficacy. American Journal of Plant Sciences. 2013;04:1345-1350'},{id:"B85",body:'Clay SA, Krack KK, Bruggeman SA, Papiernik S, Schumacher TE. Maize, switchgrass, and ponderosa pine biochar added to soil increased herbicide sorption and decreased herbicide efficacy. J Environ Sci Health Part B. 2016;51:497-507'},{id:"B86",body:'Soni N, Ferrell JA, Devkota P, Mulvaney MJ. Biochar Effects on Weed Management. Vol. 3. Florida, EUA: UF/IFAS Extension University of Florida; 2021'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Kamila Cabral Mielke",address:null,affiliation:'
Department of Agronomy, Federal University of Viçosa, Brazil
Department of Agronomy, Federal University of Viçosa, Brazil
'},{corresp:null,contributorFullName:"Rodrigo Nogueira de Sousa",address:null,affiliation:'
Department of Soil Science, “Luiz de Queiroz” College of Agriculture, University of São Paulo, Brazil
'},{corresp:null,contributorFullName:"Bruna Aparecida de Paula Medeiros",address:null,affiliation:'
Department of Agronomy, Federal University of Viçosa, Brazil
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1. Introduction
Since the beginning of time, social developments were driven by the need to respond and adapt to different challenges such as natural hazards and the resulting risks [1, 2]. Only recognizing, accepting, and dealing with risks and their consequences has allowed us to grow and evolve to the society we know today by passing through an endless process of trials and errors. Therefore, every achievement or modification of the surrounding environment can be evaluated from a risk perspective [2]. Being part of the past and current developments of our society, the generic concepts of risk, risk assessment and risk management are well established in many disciplines, from technical applications (e.g., in industrial plants and airports), to project management, the finance sector or civil protection [3, 4]. However, their consideration, management and definitions are not as coherent as one might think [5]. Risk and its connected concepts have been defined heterogeneously, in relation to their specific application in a certain field [2].
The broadest definition of risk is given by the International Organization for Standardization ISO Norm 31000 on risk management, mainly addressing organizations and enterprises. ISO defines risk as the “effect of uncertainty on objectives” [6]. This ISO Norm further specifies that “Risk is usually expressed in terms of risk sources [element which alone or in combination has the potential to give rise to risk], potential events [occurrence or change of a particular set of circumstances], their consequences [outcome of an event affecting objectives] and their likelihood [chance of something happening].” [5, 6].
In the context of natural hazards, the climate change adaptation (CCA) and the disaster risk reduction (DRR) communities have a common objective: addressing the prevention and reduction of risks related to extreme weather- and climate-related events [7], and disasters, which are defined as “Severe alterations in the normal functioning of a community or a society due to hazardous physical events […].” [8]. However, in the past the two research communities have evolved autonomously, adopting complementary approaches [9, 10]. In general, DRR has a longer history and has mainly focused on the present, addressing existing risks. On the other hand, CCA focusses mainly on the future, addressing uncertainty and new risks, also related to slow changes [10]. Consequently, the two research communities have developed different definitions of the risk concept.
In the context of DRR, the definition of risk is primarily based on the Sendai Framework for Disaster Risk Reduction (2015–2030) [11]. The United Nations Office for Disaster Risk Reduction (UNDRR, formerly known as UNISDR) defines disaster risk as “The potential loss of life, injury, or destroyed or damaged assets which could occur to a system, society or a community in a specific period of time, determined probabilistically as a function of hazard, exposure, vulnerability and capacity” [12]. Until 2018, the CCA community has instead mainly focused on the concept of vulnerability; however, efforts have been made recently to coordinate and integrate a common concept understanding among both research communities [13].
The Intergovernmental Panel for Climate Change (IPCC) has been key in proposing solutions for common definitions [10]. In its Fifth Assessment Report, the IPCC has introduced the risk concept with the aim to identify and evaluate the risk of impacts from climate change, which is in line with the DRR practice of understanding and addressing natural hazards (e.g., earthquakes, floods or landslides) [4]: Risk is “The potential for consequences where something of value is at stake and where the outcome is uncertain, […, and] results from the interaction of vulnerability, exposure, and hazard.” [8] (Figure 1; see Table 1 for IPCC definitions of vulnerability, exposure, and hazard).
Figure 1.
Conceptual framework of the climatic, ecological, economical, and social impacts on climate-related and natural hazard risks resulting from the interaction of the three (natural) hazard components (frequency: Number of times a natural hazard event occurs within a specified time interval, magnitude: Energy released by a natural hazard event, and intensity: Effects of a natural hazard event at a specific location or area [14]) with exposure and vulnerability of human and natural systems. Adapted from [8].
Hazard
“The potential occurrence of a natural or human-induced physical event that may cause loss of life, injury, or [...] damage and loss to property, infrastructure, livelihoods, service provision and environmental resources.”
Exposure
The presence of people; livelihoods; environmental services and resources; infrastructure; or […] assets in places and settings that could be adversely affected.”
Vulnerability
“The propensity or predisposition to be adversely affected.”
Risk
The potential for consequences where something of value is at stake and where the outcome is uncertain, […].”
Table 1.
Defining risk resulting from the interaction of hazard, exposure, and vulnerability [8].
This 2014 IPCC definition of risk introduces a new approach and terminology [5], which is based on the UNDRR and ISO Norm 31000 definitions, allowing for an integration of climate risks into already existing risk management strategies and policies. Some of the terms used in this concept are newly introduced to the CCA community; others are now defined differently [4]. For example, the DRR community interprets vulnerability as the societal, physical, and natural factors which contribute to disaster risk [5], while the CCA community’s vulnerability definition focuses on “the degree to which a system is susceptible to, and unable to cope with, adverse effects of climate change […]” [15].
Since the late 1990s, the concept of risk has been successfully applied in the field of natural hazard management to evaluate protection measures [16, 17, 18]. In this context, risk results from the combination of natural hazards, exposure, and vulnerability (Figure 1) [19], similar to the approaches and practices of the DRR community and to the IPCC risk concept [8]. That is, a hazard alone does not constitute a risk, if occurring in an area with no consequences for humans, and not all elements at risk are necessarily impacted given their exposure and vulnerability [8, 20]. Therefore, risk assessment does not only consider the hazard but also the presence and vulnerability of potentially exposed elements (i.e., assets or people). This includes their physical attributes (i.e., building material of houses), their social, economic, and cultural characteristics (i.e., demographics) and their capacity to cope and adapt [4].
2. Coexisting with risk: the example of mountain areas
Understanding natural hazard processes and their potentially harmful consequences constitutes an essential prerequisite for developing and implementing efficient risk management strategies [21], including practices, plans and actions for reducing the natural hazard risk in an area by acting on one or more of the three risk components [22]. Disasters related to natural hazards such as floods, droughts, heat waves, cyclones, volcanic eruptions, earthquakes, rockfall, landslides and/or snow avalanches can vary widely in frequency, magnitude and intensity, mainly due to the environment they originate from [23]. The most severe disasters directly affect local, regional and national socioeconomic developments and livelihood improvements [10]. Their occurrence often reveals how differently vulnerable communities can be, since they are mitigated or amplified by a complex system of interacting factors such as the settlement in exposed areas, poor risk governance, environmental degradation, inadequate risk communication, or a lack of preparedness by public authorities [2, 24]. The trend in increasing numbers of occurring disasters is also linked to the increased exposure of populations, which is caused by socioeconomic factors such as population growth, rapid urbanization and the concentration of populations and economic assets in regions that are regularly affected by hazardous events [25].
One of these vulnerable regions are mountain areas, which occupy 22% of the Earth’s surface [26]. Mountain areas vary largely in shape, altitude, vegetation, and climate across the globe [27, 28]. Despite these differences, mountain areas are globally renowned for the biodiversity they host and the ecosystem services they provide, including the provision of freshwater to about half of the world’s population [28]. In addition to their acknowledged natural functions, mountain areas are home to more than 915 million people, representing 13 percent of the global population [29]. The inhabitants of mountain areas are particularly exposed and vulnerable to natural hazards as well as climate change [5].
Consistent with the global context, the European Alps (Figure 2) have been identified as one of the continent’s most vulnerable areas to climate-related hazards [5]. Due to their high population density, the European Alps have always been affected by multiple natural hazards since time immemorial. Consequently, the mitigation of natural hazards (i.e., interventions aimed at reducing risks) has always been a major task in the Alpine Region [1, 30, 31]. Following the development of the risk concept and its integration into several international agreements, approaches for disaster risk reduction in mountain areas have been progressively adopted, i.e., methodologies for identifying and planning mitigation and adaptation measures to reduce risk by reducing vulnerability or, eventually, exposure [32, 33].
Figure 2.
Extents of the Interreg alpine space, the EUSALP alpine region and the European Alps (alpine Convention). Adapted from [43].
However, significant changes in the Alpine landscapes over the last century caused by fast and profound socioeconomic developments, force mountain communities to continue facing new and complex challenges:
Population expansion has led to high-density settlements located in areas that were previously considered to be unsafe [1, 30];
Transportation infrastructures crossing the Alps have significantly increased, making this region one of the main thoroughfares in Europe [34]; and
Alpine tourism has gained popularity, so that many remote mountain areas that were previously avoided are now expected to be permanently accessible [35, 36].
This increase in assets and people driven by urbanization and socioeconomic processes has led to an increase in the number of potentially exposed elements. In addition to the damages to assets and infrastructures and losses to the residential, commercial, industrial, agricultural and public sectors worth billions of Euros [35]. For example, at least 4,750 casualties were caused by avalanches alone in the Alps from 1970 to 2015, of which approximately 670 occurred in controlled terrain (settlements and transportation corridors) [37], and 1,370 people were killed by landslides and rockfall in Europe between 1995 and 2014 [38].
Recent disasters caused by floods, storms, avalanches, and other natural hazards have resulted in a shift towards an aware coexistence with such hazards and in a growing need for greater investments in protection measures [39, 40]. Limited space for settlement expansion, changes to frequencies and magnitudes of natural hazard events and natural forest disturbances as well as changes in traditional land use practices and land cover, including mountain forests, cumulatively affect natural hazard risks [41]. Thus, the safety of mountain populations needs to be ensured, in accordance with the preservation of precious mountain environments, a fundamental precondition for the sustainable development of the Alpine Space (i.e., the cooperation area of the Alpine Space programme covering the Alps and their surrounding lowlands [42]; Figure 2). Such challenges require risk governance concepts, including adaptive and integrated natural hazard risk management [1, 33, 39].
The concept of integrated risk management (IRM) refers to an overall risk management process in conjunction with the ISO Norm 31000 [6], including risk assessment (risk identification, analysis and evaluation), as well as risk treatment (preparedness, response and recovery) [44]. IRM is a systematic approach to cope with all societal-relevant hazards and related risks in an area by considering sophisticated damage indicators as well as ecological, economic and social sustainability criteria, the full spectrum of available measures, and all relevant decision-makers, experts, and those who are affected in a structured way (Figure 3).
Figure 3.
The integrated risk management cycle. Forests are integrated as biological hazard prevention measures. Adapted from [45].
3. Climate change risk in mountain areas
In the last decades, anthropogenic climate change has become the biggest threat to our society, and especially for the inhabitants of mountain areas [33]. Indeed, it was climate change’s recognition and the assessment of its devastating effects which encouraged the latest international advancements in disaster risk management concepts and collaborations among scientists, practitioners, and policy makers. The increasing impacts and awareness of climate change were the motivation for the development of the IPCC’s “risk of climate-related impacts” concept [8]. It is widely recognized how the adverse impacts of climate change on humans and nature are limiting the possibility to achieve global conservation and development objectives such as the Aichi Biodiversity Targets and the Sustainable Development Goals [46]. The diverse impacts of climate change, in terms of both subtle trends and abrupt events, are unprecedented over decades to millennia: the increased concentrations of greenhouse gases have led to higher air temperatures, the atmosphere and oceans have warmed, the amounts of snow and ice have diminished, and sea level has risen [8].
The reason for its big influence on developing risk-based evaluation and management approaches is climate change’s peculiar nature of influencing all three components of the risk concept. That is, climate-related hazards such as extreme weather events are impacting our communities more frequently and with greater intensity, and changes in the climatic system can exacerbate disaster risk [19], a trend that is projected to continue with global warming [7, 47]. In addition, the currently unsustainable exploitation of ecosystems increases the vulnerability of humans and nature to natural hazards, provoking environmental (degradation, conversion, and other ecological changes), social (loss of adaptive capacities, knowledge, and institutions; loss of livelihood options and resilience), and economic (globalization, trade, markets) impacts [2, 48]. Furthermore, climate change is also driving socioeconomic processes by forcing people to migrate, weakening the economic basis of their livelihood, and/or threatening public health, and therefore enhancing their exposure [5].
The recent achievement by the IPCC of addressing climate change impacts in the framework of the risk concept is the direct outcome of decades of efforts from several research communities and policy makers. While the DRR community focuses on sudden hazardous events of a certain magnitude with immediate and severe consequences, climate change risks also include trends that evolve over long time periods. The adverse consequences of these trends are rather manifested in slowly increasing pressure on the environment and people’s livelihoods than in immediate impacts [2]. Therefore, the IPCC framework is particularly suitable for a global perspective on risk, which is needed to manage systemic climate change risk and its cascading effects [40, 49]. In parallel, several global agreements were signed to translate the IPCC findings into political action, such as the ‘Sendai Framework for Disaster Risk Reduction 2015–2030’ [11], the ‘Paris Agreement’ [50], the ‘Addis Ababa Action Agenda’ [51], the ‘New Urban Agenda’ [52], and ultimately the so far 17 Sustainable Development Goals (SDGs) [53].
Today, scientists agree that anthropogenic climate change is altering natural hazard patterns in mountain areas [23, 25, 32]. For example, melting of glaciers and permafrost due to rising air temperatures and changes to mountain hydrology amplify the release of rocks and debris, destabilizing slopes and leading to further erosion, resulting in increasing rockfall and landslide activities [54]. In recent years, several global policy initiatives agreed on the risk paradigm and helped mountain communities to face climate change impacts on their livelihoods by adopting risk mitigation strategies and more resilient lifestyles [40, 55]. An overview of the key scientific networks and policy actors involved in natural hazard risk management in the Alpine Space is given in Table 2.
Name
Acronym
Scope
URL
International Commission for the Protection of the Alps
CIPRA
Non-governmental and non-profit umbrella organization which promotes the protection and sustainable development of the Alps at the international level. One of its initiatives was the establishment of the Alpine Convention.
Disaster Risk Management Knowledge Centre of the European Commission
DRMKC
Instrument to support the knowledge transfer from science into EU policies and to provide informed and evidence-based advice for disaster risk management
Alpine macro-regional strategy to improve the cooperation in the Alpine Region by identifying common goals and implementing them through transnational collaborations
Collaborative program and scientific alliance between the UN University’s Institute for Environment and Human Security (UNU-EHS) and Eurac Research for developing resilient mountain communities
EU-funded transnational program to facilitate the cooperation between economic, social, and environmental key actors as well as between academia, administration, business and innovation sectors, and policy making
Food and Agriculture Organization (FAO) supported UN voluntary alliance to improve lives and livelihoods of mountain people and to protect mountain environments
Key networks and organizations addressing natural hazard risk management in the Alps, the alpine space, and the alpine region (Figure 2).
All these initiatives are contributing to transform mountain areas into living laboratories of risk mitigation and management. However, the unique topographic, geomorphologic, and climatic diversity of the European Alps necessitates that policies are implemented by acknowledging regional and local differences [32, 33]. Only then climate-proof and efficient risk management strategies can be provided to local decision makers and practitioners to foster tangible improvements in the safety and livability of the Alpine Space [20, 54].
4. Conclusions
In the light of fast and profound socioeconomic, environmental, and climatic changes, the Interreg Alpine Space project GreenRisk4ALPs (GR4A; [64]) aimed at supporting natural hazard risk governance by developing decision support tools for practitioners and policy makers to include Ecosystem-based solutions for Disaster Risk Reduction (Eco-DRR) into affordable and long term-oriented integrated risk management. Moreover, GR4A supported overcoming conflicts and resistances by addressing all relevant actors involved in natural hazard risk management, providing science-based communication support, and developing harmonized transalpine recommendations – for municipalities as well as governance institutions. To establish efficient and proactive risk reduction measures, it is key to consider potential implications of current and future developments that determine the natural hazard risk [1, 23, 65]. Besides changes associated with elements potentially at risk, an improved understanding of past, current and future climatic trends is vital to achieve an efficient risk reduction, also due to 1) the known influence of climatic and meteorological dynamics on the occurrence of natural hazards, 2) the dependency of mountain ecosystems on climatic conditions, and 3) their interactions with (gravitational) natural hazards [54], such as landslides [66, 67], rockfall [68, 69], and snow avalanches [70, 71].
Supporting an ecosystem-based integrated risk management and the acknowledgment of the key role forests have for risk reduction in mountain areas, the findings of GR4A help identifying mitigation strategies and subsequently efficient risk reduction measures through an improved and participative risk governance system. How forests can act as a solution for Eco-DRR is the subject of the following two chapters of this book [72, 73]. Moreover, the methodologies and decision support tools related to the risk concept that were developed and applied within GR4A are presented in [74, 75], the book chapters [76, 77, 78], and are explained in detail in the GR4A project reports [20, 65, 79, 80].
Acknowledgments
This work was conducted in the context of the GreenRisk4ALPs project (ASP635), which has been financed by Interreg Alpine Space programme, one of the 15 transnational cooperation programs covering the whole of the European Union (EU) in the framework of European Regional policy. We thank Stefano Terzi for valuable comments on an earlier version of this chapter.
Conflict of interest
The authors declare no conflict of interest.
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This chapter introduces the concept of risk and provides an overview of definitions and interpretations by key policy actors, including associated terms such as hazard, exposure, and vulnerability. Its use and the general importance of “risk” in the Alpine Space are emphasized, especially in the light of the increasing impacts of socioeconomic, environmental, and climatic changes on natural hazard risk by discussing resulting consequences and challenges. 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Radiotherapy and Nuclear Medicine Technology has always been my aspiration and my life. As years passed I accumulated a tremendous amount of skills and knowledge in Radiotherapy and Nuclear Medicine, Conventional Radiology, Radiation Protection, Bioinformatics Technology, PACS, Image processing, clinically and lecturing that will enable me to provide a valuable service to the community as a Researcher and Consultant in this field. My method of translating this into day to day in clinical practice is non-exhaustible and my habit of exchanging knowledge and expertise with others in those fields is the code and secret of success.",institutionString:null,institution:{name:"Majmaah University",country:{name:"Saudi Arabia"}}},{id:"313277",title:"Dr.",name:"Bartłomiej",middleName:null,surname:"Płaczek",slug:"bartlomiej-placzek",fullName:"Bartłomiej Płaczek",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/313277/images/system/313277.jpg",biography:"Bartłomiej Płaczek, MSc (2002), Ph.D. (2005), Habilitation (2016), is a professor at the University of Silesia, Institute of Computer Science, Poland, and an expert from the National Centre for Research and Development. His research interests include sensor networks, smart sensors, intelligent systems, and image processing with applications in healthcare and medicine. He is the author or co-author of more than seventy papers in peer-reviewed journals and conferences as well as the co-author of several books. He serves as a reviewer for many scientific journals, international conferences, and research foundations. Since 2010, Dr. Placzek has been a reviewer of grants and projects (including EU projects) in the field of information technologies.",institutionString:"University of Silesia",institution:{name:"University of Silesia",country:{name:"Poland"}}},{id:"35000",title:"Prof.",name:"Ulrich H.P",middleName:"H.P.",surname:"Fischer",slug:"ulrich-h.p-fischer",fullName:"Ulrich H.P Fischer",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/35000/images/3052_n.jpg",biography:"Academic and Professional Background\nUlrich H. P. has Diploma and PhD degrees in Physics from the Free University Berlin, Germany. He has been working on research positions in the Heinrich-Hertz-Institute in Germany. Several international research projects has been performed with European partners from France, Netherlands, Norway and the UK. He is currently Professor of Communications Systems at the Harz University of Applied Sciences, Germany.\n\nPublications and Publishing\nHe has edited one book, a special interest book about ‘Optoelectronic Packaging’ (VDE, Berlin, Germany), and has published over 100 papers and is owner of several international patents for WDM over POF key elements.\n\nKey Research and Consulting Interests\nUlrich’s research activity has always been related to Spectroscopy and Optical Communications Technology. Specific current interests include the validation of complex instruments, and the application of VR technology to the development and testing of measurement systems. He has been reviewer for several publications of the Optical Society of America\\'s including Photonics Technology Letters and Applied Optics.\n\nPersonal Interests\nThese include motor cycling in a very relaxed manner and performing martial arts.",institutionString:null,institution:{name:"Charité",country:{name:"Germany"}}},{id:"341622",title:"Ph.D.",name:"Eduardo",middleName:null,surname:"Rojas Alvarez",slug:"eduardo-rojas-alvarez",fullName:"Eduardo Rojas Alvarez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/341622/images/15892_n.jpg",biography:null,institutionString:null,institution:{name:"University of Cuenca",country:{name:"Ecuador"}}},{id:"215610",title:"Prof.",name:"Muhammad",middleName:null,surname:"Sarfraz",slug:"muhammad-sarfraz",fullName:"Muhammad Sarfraz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/215610/images/system/215610.jpeg",biography:"Muhammad Sarfraz is a professor in the Department of Information Science, Kuwait University, Kuwait. His research interests include optimization, computer graphics, computer vision, image processing, machine learning, pattern recognition, soft computing, data science, and intelligent systems. Prof. Sarfraz has been a keynote/invited speaker at various platforms around the globe. He has advised/supervised more than 110 students for their MSc and Ph.D. theses. He has published more than 400 publications as books, journal articles, and conference papers. He has authored and/or edited around seventy books. Prof. Sarfraz is a member of various professional societies. He is a chair and member of international advisory committees and organizing committees of numerous international conferences. He is also an editor and editor in chief for various international journals.",institutionString:"Kuwait University",institution:{name:"Kuwait University",country:{name:"Kuwait"}}},{id:"32650",title:"Prof.",name:"Lukas",middleName:"Willem",surname:"Snyman",slug:"lukas-snyman",fullName:"Lukas Snyman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/32650/images/4136_n.jpg",biography:"Lukas Willem Snyman received his basic education at primary and high schools in South Africa, Eastern Cape. He enrolled at today's Nelson Metropolitan University and graduated from this university with a BSc in Physics and Mathematics, B.Sc Honors in Physics, MSc in Semiconductor Physics, and a Ph.D. in Semiconductor Physics in 1987. After his studies, he chose an academic career and devoted his energy to the teaching of physics to first, second, and third-year students. After positions as a lecturer at the University of Port Elizabeth, he accepted a position as Associate Professor at the University of Pretoria, South Africa.\r\n\r\nIn 1992, he motivates the concept of 'television and computer-based education” as means to reach large student numbers with only the best of teaching expertise and publishes an article on the concept in the SA Journal of Higher Education of 1993 (and later in 2003). The University of Pretoria subsequently approved a series of test projects on the concept with outreach to Mamelodi and Eerste Rust in 1993. In 1994, the University established a 'Unit for Telematic Education ' as a support section for multiple faculties at the University of Pretoria. In subsequent years, the concept of 'telematic education” subsequently becomes well established in academic circles in South Africa, grew in popularity, and is adopted by many universities and colleges throughout South Africa as a medium of enhancing education and training, as a method to reaching out to far out communities, and as a means to enhance study from the home environment.\r\n\r\nProfessor Snyman in subsequent years pursued research in semiconductor physics, semiconductor devices, microelectronics, and optoelectronics.\r\n\r\nIn 2000 he joined the TUT as a full professor. Here served for a period as head of the Department of Electronic Engineering. Here he makes contributions to solar energy development, microwave and optoelectronic device development, silicon photonics, as well as contributions to new mobile telecommunication systems and network planning in SA.\r\n\r\nCurrently, he teaches electronics and telecommunications at the TUT to audiences ranging from first-year students to Ph.D. level.\r\n\r\nFor his research in the field of 'Silicon Photonics” since 1990, he has published (as author and co-author) about thirty internationally reviewed articles in scientific journals, contributed to more than forty international conferences, about 25 South African provisional patents (as inventor and co-inventor), 8 PCT international patent applications until now. Of these, two USA patents applications, two European Patents, two Korean patents, and ten SA patents have been granted. A further 4 USA patents, 5 European patents, 3 Korean patents, 3 Chinese patents, and 3 Japanese patents are currently under consideration.\r\n\r\nRecently he has also published an extensive scholarly chapter in an internet open access book on 'Integrating Microphotonic Systems and MOEMS into standard Silicon CMOS Integrated circuitry”.\r\n\r\nFurthermore, Professor Snyman recently steered a new initiative at the TUT by introducing a 'Laboratory for Innovative Electronic Systems ' at the Department of Electrical Engineering. The model of this laboratory or center is to primarily combine outputs as achieved by high-level research with lower-level system development and entrepreneurship in a technical university environment. Students are allocated to projects at different levels with PhDs and Master students allocated to the generation of new knowledge and new technologies, while students at the diploma and Baccalaureus level are allocated to electronic systems development with a direct and a near application for application in industry or the commercial and public sectors in South Africa.\r\n\r\nProfessor Snyman received the WIRSAM Award of 1983 and the WIRSAM Award in 1985 in South Africa for best research papers by a young scientist at two international conferences on electron microscopy in South Africa. He subsequently received the SA Microelectronics Award for the best dissertation emanating from studies executed at a South African university in the field of Physics and Microelectronics in South Africa in 1987. In October of 2011, Professor Snyman received the prestigious Institutional Award for 'Innovator of the Year” for 2010 at the Tshwane University of Technology, South Africa. This award was based on the number of patents recognized and granted by local and international institutions as well as for his contributions concerning innovation at the TUT.",institutionString:null,institution:{name:"University of South Africa",country:{name:"South Africa"}}},{id:"317279",title:"Mr.",name:"Ali",middleName:"Usama",surname:"Syed",slug:"ali-syed",fullName:"Ali Syed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/317279/images/16024_n.png",biography:"A creative, talented, and innovative young professional who is dedicated, well organized, and capable research fellow with two years of experience in graduate-level research, published in engineering journals and book, with related expertise in Bio-robotics, equally passionate about the aesthetics of the mechanical and electronic system, obtained expertise in the use of MS Office, MATLAB, SolidWorks, LabVIEW, Proteus, Fusion 360, having a grasp on python, C++ and assembly language, possess proven ability in acquiring research grants, previous appointments with social and educational societies with experience in administration, current affiliations with IEEE and Web of Science, a confident presenter at conferences and teacher in classrooms, able to explain complex information to audiences of all levels.",institutionString:null,institution:{name:"Air University",country:{name:"Pakistan"}}},{id:"75526",title:"Ph.D.",name:"Zihni Onur",middleName:null,surname:"Uygun",slug:"zihni-onur-uygun",fullName:"Zihni Onur Uygun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/75526/images/12_n.jpg",biography:"My undergraduate education and my Master of Science educations at Ege University and at Çanakkale Onsekiz Mart University have given me a firm foundation in Biochemistry, Analytical Chemistry, Biosensors, Bioelectronics, Physical Chemistry and Medicine. After obtaining my degree as a MSc in analytical chemistry, I started working as a research assistant in Ege University Medical Faculty in 2014. In parallel, I enrolled to the MSc program at the Department of Medical Biochemistry at Ege University to gain deeper knowledge on medical and biochemical sciences as well as clinical chemistry in 2014. In my PhD I deeply researched on biosensors and bioelectronics and finished in 2020. Now I have eleven SCI-Expanded Index published papers, 6 international book chapters, referee assignments for different SCIE journals, one international patent pending, several international awards, projects and bursaries. In parallel to my research assistant position at Ege University Medical Faculty, Department of Medical Biochemistry, in April 2016, I also founded a Start-Up Company (Denosens Biotechnology LTD) by the support of The Scientific and Technological Research Council of Turkey. Currently, I am also working as a CEO in Denosens Biotechnology. The main purposes of the company, which carries out R&D as a research center, are to develop new generation biosensors and sensors for both point-of-care diagnostics; such as glucose, lactate, cholesterol and cancer biomarker detections. My specific experimental and instrumental skills are Biochemistry, Biosensor, Analytical Chemistry, Electrochemistry, Mobile phone based point-of-care diagnostic device, POCTs and Patient interface designs, HPLC, Tandem Mass Spectrometry, Spectrophotometry, ELISA.",institutionString:null,institution:{name:"Ege University",country:{name:"Turkey"}}},{id:"246502",title:"Dr.",name:"Jaya T.",middleName:"T",surname:"Varkey",slug:"jaya-t.-varkey",fullName:"Jaya T. Varkey",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246502/images/11160_n.jpg",biography:"Jaya T. Varkey, PhD, graduated with a degree in Chemistry from Cochin University of Science and Technology, Kerala, India. She obtained a PhD in Chemistry from the School of Chemical Sciences, Mahatma Gandhi University, Kerala, India, and completed a post-doctoral fellowship at the University of Minnesota, USA. She is a research guide at Mahatma Gandhi University and Associate Professor in Chemistry, St. Teresa’s College, Kochi, Kerala, India.\nDr. Varkey received a National Young Scientist award from the Indian Science Congress (1995), a UGC Research award (2016–2018), an Indian National Science Academy (INSA) Visiting Scientist award (2018–2019), and a Best Innovative Faculty award from the All India Association for Christian Higher Education (AIACHE) (2019). She Hashas received the Sr. Mary Cecil prize for best research paper three times. She was also awarded a start-up to develop a tea bag water filter. \nDr. Varkey has published two international books and twenty-seven international journal publications. She is an editorial board member for five international journals.",institutionString:"St. Teresa’s College",institution:null},{id:"250668",title:"Dr.",name:"Ali",middleName:null,surname:"Nabipour Chakoli",slug:"ali-nabipour-chakoli",fullName:"Ali Nabipour Chakoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/250668/images/system/250668.jpg",biography:"Academic Qualification:\r\n•\tPhD in Materials Physics and Chemistry, From: Sep. 2006, to: Sep. 2010, School of Materials Science and Engineering, Harbin Institute of Technology, Thesis: Structure and Shape Memory Effect of Functionalized MWCNTs/poly (L-lactide-co-ε-caprolactone) Nanocomposites. Supervisor: Prof. Wei Cai,\r\n•\tM.Sc in Applied Physics, From: 1996, to: 1998, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Determination of Boron in Micro alloy Steels with solid state nuclear track detectors by neutron induced auto radiography, Supervisors: Dr. M. Hosseini Ashrafi and Dr. A. Hosseini.\r\n•\tB.Sc. in Applied Physics, From: 1991, to: 1996, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Design of shielding for Am-Be neutron sources for In Vivo neutron activation analysis, Supervisor: Dr. M. Hosseini Ashrafi.\r\n\r\nResearch Experiences:\r\n1.\tNanomaterials, Carbon Nanotubes, Graphene: Synthesis, Functionalization and Characterization,\r\n2.\tMWCNTs/Polymer Composites: Fabrication and Characterization, \r\n3.\tShape Memory Polymers, Biodegradable Polymers, ORC, Collagen,\r\n4.\tMaterials Analysis and Characterizations: TEM, SEM, XPS, FT-IR, Raman, DSC, DMA, TGA, XRD, GPC, Fluoroscopy, \r\n5.\tInteraction of Radiation with Mater, Nuclear Safety and Security, NDT(RT),\r\n6.\tRadiation Detectors, Calibration (SSDL),\r\n7.\tCompleted IAEA e-learning Courses:\r\nNuclear Security (15 Modules),\r\nNuclear Safety:\r\nTSA 2: Regulatory Protection in Occupational Exposure,\r\nTips & Tricks: Radiation Protection in Radiography,\r\nSafety and Quality in Radiotherapy,\r\nCourse on Sealed Radioactive Sources,\r\nCourse on Fundamentals of Environmental Remediation,\r\nCourse on Planning for Environmental Remediation,\r\nKnowledge Management Orientation Course,\r\nFood Irradiation - Technology, Applications and Good Practices,\r\nEmployment:\r\nFrom 2010 to now: Academic staff, Nuclear Science and Technology Research Institute, Kargar Shomali, Tehran, Iran, P.O. Box: 14395-836.\r\nFrom 1997 to 2006: Expert of Materials Analysis and Characterization. Research Center of Agriculture and Medicine. Rajaeeshahr, Karaj, Iran, P. O. Box: 31585-498.",institutionString:"Atomic Energy Organization of Iran",institution:{name:"Atomic Energy Organization of Iran",country:{name:"Iran"}}},{id:"248279",title:"Dr.",name:"Monika",middleName:"Elzbieta",surname:"Machoy",slug:"monika-machoy",fullName:"Monika Machoy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/248279/images/system/248279.jpeg",biography:"Monika Elżbieta Machoy, MD, graduated with distinction from the Faculty of Medicine and Dentistry at the Pomeranian Medical University in 2009, defended her PhD thesis with summa cum laude in 2016 and is currently employed as a researcher at the Department of Orthodontics of the Pomeranian Medical University. She expanded her professional knowledge during a one-year scholarship program at the Ernst Moritz Arndt University in Greifswald, Germany and during a three-year internship at the Technical University in Dresden, Germany. She has been a speaker at numerous orthodontic conferences, among others, American Association of Orthodontics, European Orthodontic Symposium and numerous conferences of the Polish Orthodontic Society. She conducts research focusing on the effect of orthodontic treatment on dental and periodontal tissues and the causes of pain in orthodontic patients.",institutionString:"Pomeranian Medical University",institution:{name:"Pomeranian Medical University",country:{name:"Poland"}}},{id:"252743",title:"Prof.",name:"Aswini",middleName:"Kumar",surname:"Kar",slug:"aswini-kar",fullName:"Aswini Kar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252743/images/10381_n.jpg",biography:"uploaded in cv",institutionString:null,institution:{name:"KIIT University",country:{name:"India"}}},{id:"204256",title:"Dr.",name:"Anil",middleName:"Kumar",surname:"Kumar Sahu",slug:"anil-kumar-sahu",fullName:"Anil Kumar Sahu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204256/images/14201_n.jpg",biography:"I have nearly 11 years of research and teaching experience. I have done my master degree from University Institute of Pharmacy, Pt. Ravi Shankar Shukla University, Raipur, Chhattisgarh India. I have published 16 review and research articles in international and national journals and published 4 chapters in IntechOpen, the world’s leading publisher of Open access books. I have presented many papers at national and international conferences. I have received research award from Indian Drug Manufacturers Association in year 2015. My research interest extends from novel lymphatic drug delivery systems, oral delivery system for herbal bioactive to formulation optimization.",institutionString:null,institution:{name:"Chhattisgarh Swami Vivekanand Technical University",country:{name:"India"}}},{id:"253468",title:"Dr.",name:"Mariusz",middleName:null,surname:"Marzec",slug:"mariusz-marzec",fullName:"Mariusz Marzec",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/253468/images/system/253468.png",biography:"An assistant professor at Department of Biomedical Computer Systems, at Institute of Computer Science, Silesian University in Katowice. Scientific interests: computer analysis and processing of images, biomedical images, databases and programming languages. He is an author and co-author of scientific publications covering analysis and processing of biomedical images and development of database systems.",institutionString:"University of Silesia",institution:null},{id:"212432",title:"Prof.",name:"Hadi",middleName:null,surname:"Mohammadi",slug:"hadi-mohammadi",fullName:"Hadi Mohammadi",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/212432/images/system/212432.jpeg",biography:"Dr. Hadi Mohammadi is a biomedical engineer with hands-on experience in the design and development of many engineering structures and medical devices through various projects that he has been involved in over the past twenty years. Dr. Mohammadi received his BSc. and MSc. degrees in Mechanical Engineering from Sharif University of Technology, Tehran, Iran, and his PhD. degree in Biomedical Engineering (biomaterials) from the University of Western Ontario. He was a postdoctoral trainee for almost four years at University of Calgary and Harvard Medical School. He is an industry innovator having created the technology to produce lifelike synthetic platforms that can be used for the simulation of almost all cardiovascular reconstructive surgeries. He’s been heavily involved in the design and development of cardiovascular devices and technology for the past 10 years. He is currently an Assistant Professor with the University of British Colombia, Canada.",institutionString:"University of British Columbia",institution:{name:"University of British Columbia",country:{name:"Canada"}}},{id:"254463",title:"Prof.",name:"Haisheng",middleName:null,surname:"Yang",slug:"haisheng-yang",fullName:"Haisheng Yang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/254463/images/system/254463.jpeg",biography:"Haisheng Yang, Ph.D., Professor and Director of the Department of Biomedical Engineering, College of Life Science and Bioengineering, Beijing University of Technology. He received his Ph.D. degree in Mechanics/Biomechanics from Harbin Institute of Technology (jointly with University of California, Berkeley). Afterwards, he worked as a Postdoctoral Research Associate in the Purdue Musculoskeletal Biology and Mechanics Lab at the Department of Basic Medical Sciences, Purdue University, USA. He also conducted research in the Research Centre of Shriners Hospitals for Children-Canada at McGill University, Canada. Dr. Yang has over 10 years research experience in orthopaedic biomechanics and mechanobiology of bone adaptation and regeneration. He earned an award from Beijing Overseas Talents Aggregation program in 2017 and serves as Beijing Distinguished Professor.",institutionString:"Beijing University of Technology",institution:null},{id:"255757",title:"Dr.",name:"Igor",middleName:"Victorovich",surname:"Lakhno",slug:"igor-lakhno",fullName:"Igor Lakhno",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255757/images/system/255757.jpg",biography:"Lakhno Igor Victorovich was born in 1971 in Kharkiv (Ukraine). \nMD – 1994, Kharkiv National Medical Univesity.\nOb&Gyn; – 1997, master courses in Kharkiv Medical Academy of Postgraduate Education.\nPhD – 1999, Kharkiv National Medical Univesity.\nDSc – 2019, PL Shupik National Academy of Postgraduate Education \nLakhno Igor has been graduated from an international training courses on reproductive medicine and family planning held in Debrecen University (Hungary) in 1997. Since 1998 Lakhno Igor has worked as an associate professor of the department of obstetrics and gynecology of VN Karazin National University and an associate professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education. Since June 2019 he’s a professor of the department of obstetrics and gynecology of VN Karazin National University and a professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education . He’s an author of about 200 printed works and there are 17 of them in Scopus or Web of Science databases. Lakhno Igor is a rewiever of Journal of Obstetrics and Gynaecology (Taylor and Francis), Informatics in Medicine Unlocked (Elsevier), The Journal of Obstetrics and Gynecology Research (Wiley), Endocrine, Metabolic & Immune Disorders-Drug Targets (Bentham Open), The Open Biomedical Engineering Journal (Bentham Open), etc. He’s defended a dissertation for DSc degree \\'Pre-eclampsia: prediction, prevention and treatment”. Lakhno Igor has participated as a speaker in several international conferences and congresses (International Conference on Biological Oscillations April 10th-14th 2016, Lancaster, UK, The 9th conference of the European Study Group on Cardiovascular Oscillations). His main scientific interests: obstetrics, women’s health, fetal medicine, cardiovascular medicine.",institutionString:"V.N. Karazin Kharkiv National University",institution:{name:"Kharkiv Medical Academy of Postgraduate Education",country:{name:"Ukraine"}}},{id:"89721",title:"Dr.",name:"Mehmet",middleName:"Cuneyt",surname:"Ozmen",slug:"mehmet-ozmen",fullName:"Mehmet Ozmen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/89721/images/7289_n.jpg",biography:null,institutionString:null,institution:{name:"Gazi University",country:{name:"Turkey"}}},{id:"243698",title:"M.D.",name:"Xiaogang",middleName:null,surname:"Wang",slug:"xiaogang-wang",fullName:"Xiaogang Wang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/243698/images/system/243698.png",biography:"Dr. Xiaogang Wang, a faculty member of Shanxi Eye Hospital specializing in the treatment of cataract and retinal disease and a tutor for postgraduate students of Shanxi Medical University, worked in the COOL Lab as an international visiting scholar under the supervision of Dr. David Huang and Yali Jia from October 2012 through November 2013. Dr. Wang earned an MD from Shanxi Medical University and a Ph.D. from Shanghai Jiao Tong University. Dr. Wang was awarded two research project grants focused on multimodal optical coherence tomography imaging and deep learning in cataract and retinal disease, from the National Natural Science Foundation of China. He has published around 30 peer-reviewed journal papers and four book chapters and co-edited one book.",institutionString:"Shanxi Eye Hospital",institution:{name:"Shanxi Eye Hospital",country:{name:"China"}}},{id:"242893",title:"Ph.D. Student",name:"Joaquim",middleName:null,surname:"De Moura",slug:"joaquim-de-moura",fullName:"Joaquim De Moura",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/242893/images/7133_n.jpg",biography:"Joaquim de Moura received his degree in Computer Engineering in 2014 from the University of A Coruña (Spain). In 2016, he received his M.Sc degree in Computer Engineering from the same university. He is currently pursuing his Ph.D degree in Computer Science in a collaborative project between ophthalmology centers in Galicia and the University of A Coruña. His research interests include computer vision, machine learning algorithms and analysis and medical imaging processing of various kinds.",institutionString:null,institution:{name:"University of A Coruña",country:{name:"Spain"}}},{id:"267434",title:"Dr.",name:"Rohit",middleName:null,surname:"Raja",slug:"rohit-raja",fullName:"Rohit Raja",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRZkkQAG/Profile_Picture_2022-05-09T12:55:18.jpg",biography:null,institutionString:null,institution:null},{id:"294334",title:"B.Sc.",name:"Marc",middleName:null,surname:"Bruggeman",slug:"marc-bruggeman",fullName:"Marc Bruggeman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/294334/images/8242_n.jpg",biography:"Chemical engineer graduate, with a passion for material science and specific interest in polymers - their near infinite applications intrigue me. \n\nI plan to continue my scientific career in the field of polymeric biomaterials as I am fascinated by intelligent, bioactive and biomimetic materials for use in both consumer and medical applications.",institutionString:null,institution:null},{id:"244950",title:"Dr.",name:"Salvatore",middleName:null,surname:"Di Lauro",slug:"salvatore-di-lauro",fullName:"Salvatore Di Lauro",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0030O00002bSF1HQAW/ProfilePicture%202021-12-20%2014%3A54%3A14.482",biography:"Name:\n\tSALVATORE DI LAURO\nAddress:\n\tHospital Clínico Universitario Valladolid\nAvda Ramón y Cajal 3\n47005, Valladolid\nSpain\nPhone number: \nFax\nE-mail:\n\t+34 983420000 ext 292\n+34 983420084\nsadilauro@live.it\nDate and place of Birth:\nID Number\nMedical Licence \nLanguages\t09-05-1985. Villaricca (Italy)\n\nY1281863H\n474707061\nItalian (native language)\nSpanish (read, written, spoken)\nEnglish (read, written, spoken)\nPortuguese (read, spoken)\nFrench (read)\n\t\t\nCurrent position (title and company)\tDate (Year)\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. Private practise.\t2017-today\n\n2019-today\n\t\n\t\nEducation (High school, university and postgraduate training > 3 months)\tDate (Year)\nDegree in Medicine and Surgery. University of Neaples 'Federico II”\nResident in Opthalmology. Hospital Clinico Universitario Valladolid\nMaster in Vitreo-Retina. IOBA. University of Valladolid\nFellow of the European Board of Ophthalmology. Paris\nMaster in Research in Ophthalmology. University of Valladolid\t2003-2009\n2012-2016\n2016-2017\n2016\n2012-2013\n\t\nEmployments (company and positions)\tDate (Year)\nResident in Ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl.\nFellow in Vitreo-Retina. IOBA. University of Valladolid\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. \n\t2012-2016\n2016-2017\n2017-today\n\n2019-Today\n\n\n\t\nClinical Research Experience (tasks and role)\tDate (Year)\nAssociated investigator\n\n' FIS PI20/00740: DESARROLLO DE UNA CALCULADORA DE RIESGO DE\nAPARICION DE RETINOPATIA DIABETICA BASADA EN TECNICAS DE IMAGEN MULTIMODAL EN PACIENTES DIABETICOS TIPO 1. Grant by: Ministerio de Ciencia e Innovacion \n\n' (BIO/VA23/14) Estudio clínico multicéntrico y prospectivo para validar dos\nbiomarcadores ubicados en los genes p53 y MDM2 en la predicción de los resultados funcionales de la cirugía del desprendimiento de retina regmatógeno. Grant by: Gerencia Regional de Salud de la Junta de Castilla y León.\n' Estudio multicéntrico, aleatorizado, con enmascaramiento doble, en 2 grupos\nparalelos y de 52 semanas de duración para comparar la eficacia, seguridad e inmunogenicidad de SOK583A1 respecto a Eylea® en pacientes con degeneración macular neovascular asociada a la edad' (CSOK583A12301; N.EUDRA: 2019-004838-41; FASE III). Grant by Hexal AG\n\n' Estudio de fase III, aleatorizado, doble ciego, con grupos paralelos, multicéntrico para comparar la eficacia y la seguridad de QL1205 frente a Lucentis® en pacientes con degeneración macular neovascular asociada a la edad. (EUDRACT: 2018-004486-13). Grant by Qilu Pharmaceutical Co\n\n' Estudio NEUTON: Ensayo clinico en fase IV para evaluar la eficacia de aflibercept en pacientes Naive con Edema MacUlar secundario a Oclusion de Vena CenTral de la Retina (OVCR) en regimen de tratamientO iNdividualizado Treat and Extend (TAE)”, (2014-000975-21). Grant by Fundacion Retinaplus\n\n' Evaluación de la seguridad y bioactividad de anillos de tensión capsular en conejo. Proyecto Procusens. Grant by AJL, S.A.\n\n'Estudio epidemiológico, prospectivo, multicéntrico y abierto\\npara valorar la frecuencia de la conjuntivitis adenovírica diagnosticada mediante el test AdenoPlus®\\nTest en pacientes enfermos de conjuntivitis aguda”\\n. National, multicenter study. Grant by: NICOX.\n\nEuropean multicentric trial: 'Evaluation of clinical outcomes following the use of Systane Hydration in patients with dry eye”. Study Phase 4. Grant by: Alcon Labs'\n\nVLPs Injection and Activation in a Rabbit Model of Uveal Melanoma. Grant by Aura Bioscience\n\nUpdating and characterization of a rabbit model of uveal melanoma. Grant by Aura Bioscience\n\nEnsayo clínico en fase IV para evaluar las variantes genéticas de la vía del VEGF como biomarcadores de eficacia del tratamiento con aflibercept en pacientes con degeneración macular asociada a la edad (DMAE) neovascular. Estudio BIOIMAGE. IMO-AFLI-2013-01\n\nEstudio In-Eye:Ensayo clínico en fase IV, abierto, aleatorizado, de 2 brazos,\nmulticçentrico y de 12 meses de duración, para evaluar la eficacia y seguridad de un régimen de PRN flexible individualizado de 'esperar y extender' versus un régimen PRN según criterios de estabilización mediante evaluaciones mensuales de inyecciones intravítreas de ranibizumab 0,5 mg en pacientes naive con neovascularización coriodea secunaria a la degeneración macular relacionada con la edad. CP: CRFB002AES03T\n\nTREND: Estudio Fase IIIb multicéntrico, randomizado, de 12 meses de\nseguimiento con evaluador de la agudeza visual enmascarado, para evaluar la eficacia y la seguridad de ranibizumab 0.5mg en un régimen de tratar y extender comparado con un régimen mensual, en pacientes con degeneración macular neovascular asociada a la edad. CP: CRFB002A2411 Código Eudra CT:\n2013-002626-23\n\n\n\nPublications\t\n\n2021\n\n\n\n\n2015\n\n\n\n\n2021\n\n\n\n\n\n2021\n\n\n\n\n2015\n\n\n\n\n2015\n\n\n2014\n\n\n\n\n2015-16\n\n\n\n2015\n\n\n2014\n\n\n2014\n\n\n\n\n2014\n\n\n\n\n\n\n\n2014\n\nJose Carlos Pastor; Jimena Rojas; Salvador Pastor-Idoate; Salvatore Di Lauro; Lucia Gonzalez-Buendia; Santiago Delgado-Tirado. Proliferative vitreoretinopathy: A new concept of disease pathogenesis and practical\nconsequences. Progress in Retinal and Eye Research. 51, pp. 125 - 155. 03/2016. DOI: 10.1016/j.preteyeres.2015.07.005\n\n\nLabrador-Velandia S; Alonso-Alonso ML; Di Lauro S; García-Gutierrez MT; Srivastava GK; Pastor JC; Fernandez-Bueno I. Mesenchymal stem cells provide paracrine neuroprotective resources that delay degeneration of co-cultured organotypic neuroretinal cultures.Experimental Eye Research. 185, 17/05/2019. DOI: 10.1016/j.exer.2019.05.011\n\nSalvatore Di Lauro; Maria Teresa Garcia Gutierrez; Ivan Fernandez Bueno. Quantification of pigment epithelium-derived factor (PEDF) in an ex vivo coculture of retinal pigment epithelium cells and neuroretina.\nJournal of Allbiosolution. 2019. ISSN 2605-3535\n\nSonia Labrador Velandia; Salvatore Di Lauro; Alonso-Alonso ML; Tabera Bartolomé S; Srivastava GK; Pastor JC; Fernandez-Bueno I. Biocompatibility of intravitreal injection of human mesenchymal stem cells in immunocompetent rabbits. Graefe's archive for clinical and experimental ophthalmology. 256 - 1, pp. 125 - 134. 01/2018. DOI: 10.1007/s00417-017-3842-3\n\n\nSalvatore Di Lauro, David Rodriguez-Crespo, Manuel J Gayoso, Maria T Garcia-Gutierrez, J Carlos Pastor, Girish K Srivastava, Ivan Fernandez-Bueno. A novel coculture model of porcine central neuroretina explants and retinal pigment epithelium cells. Molecular Vision. 2016 - 22, pp. 243 - 253. 01/2016.\n\nSalvatore Di Lauro. Classifications for Proliferative Vitreoretinopathy ({PVR}): An Analysis of Their Use in Publications over the Last 15 Years. Journal of Ophthalmology. 2016, pp. 1 - 6. 01/2016. DOI: 10.1155/2016/7807596\n\nSalvatore Di Lauro; Rosa Maria Coco; Rosa Maria Sanabria; Enrique Rodriguez de la Rua; Jose Carlos Pastor. Loss of Visual Acuity after Successful Surgery for Macula-On Rhegmatogenous Retinal Detachment in a Prospective Multicentre Study. Journal of Ophthalmology. 2015:821864, 2015. DOI: 10.1155/2015/821864\n\nIvan Fernandez-Bueno; Salvatore Di Lauro; Ivan Alvarez; Jose Carlos Lopez; Maria Teresa Garcia-Gutierrez; Itziar Fernandez; Eva Larra; Jose Carlos Pastor. Safety and Biocompatibility of a New High-Density Polyethylene-Based\nSpherical Integrated Porous Orbital Implant: An Experimental Study in Rabbits. Journal of Ophthalmology. 2015:904096, 2015. DOI: 10.1155/2015/904096\n\nPastor JC; Pastor-Idoate S; Rodríguez-Hernandez I; Rojas J; Fernandez I; Gonzalez-Buendia L; Di Lauro S; Gonzalez-Sarmiento R. Genetics of PVR and RD. Ophthalmologica. 232 - Suppl 1, pp. 28 - 29. 2014\n\nRodriguez-Crespo D; Di Lauro S; Singh AK; Garcia-Gutierrez MT; Garrosa M; Pastor JC; Fernandez-Bueno I; Srivastava GK. Triple-layered mixed co-culture model of RPE cells with neuroretina for evaluating the neuroprotective effects of adipose-MSCs. Cell Tissue Res. 358 - 3, pp. 705 - 716. 2014.\nDOI: 10.1007/s00441-014-1987-5\n\nCarlo De Werra; Salvatore Condurro; Salvatore Tramontano; Mario Perone; Ivana Donzelli; Salvatore Di Lauro; Massimo Di Giuseppe; Rosa Di Micco; Annalisa Pascariello; Antonio Pastore; Giorgio Diamantis; Giuseppe Galloro. Hydatid disease of the liver: thirty years of surgical experience.Chirurgia italiana. 59 - 5, pp. 611 - 636.\n(Italia): 2007. ISSN 0009-4773\n\nChapters in books\n\t\n' Salvador Pastor Idoate; Salvatore Di Lauro; Jose Carlos Pastor Jimeno. PVR: Pathogenesis, Histopathology and Classification. Proliferative Vitreoretinopathy with Small Gauge Vitrectomy. Springer, 2018. ISBN 978-3-319-78445-8\nDOI: 10.1007/978-3-319-78446-5_2. \n\n' Salvatore Di Lauro; Maria Isabel Lopez Galvez. Quistes vítreos en una mujer joven. Problemas diagnósticos en patología retinocoroidea. Sociedad Española de Retina-Vitreo. 2018.\n\n' Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor Jimeno. iOCT in PVR management. OCT Applications in Opthalmology. pp. 1 - 8. INTECH, 2018. DOI: 10.5772/intechopen.78774.\n\n' Rosa Coco Martin; Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor. amponadores, manipuladores y tinciones en la cirugía del traumatismo ocular.Trauma Ocular. Ponencia de la SEO 2018..\n\n' LOPEZ GALVEZ; DI LAURO; CRESPO. OCT angiografia y complicaciones retinianas de la diabetes. PONENCIA SEO 2021, CAPITULO 20. (España): 2021.\n\n' Múltiples desprendimientos neurosensoriales bilaterales en paciente joven. Enfermedades Degenerativas De Retina Y Coroides. SERV 04/2016. \n' González-Buendía L; Di Lauro S; Pastor-Idoate S; Pastor Jimeno JC. Vitreorretinopatía proliferante (VRP) e inflamación: LA INFLAMACIÓN in «INMUNOMODULADORES Y ANTIINFLAMATORIOS: MÁS ALLÁ DE LOS CORTICOIDES. RELACION DE PONENCIAS DE LA SOCIEDAD ESPAÑOLA DE OFTALMOLOGIA. 10/2014.",institutionString:null,institution:null},{id:"265335",title:"Mr.",name:"Stefan",middleName:"Radnev",surname:"Stefanov",slug:"stefan-stefanov",fullName:"Stefan Stefanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/265335/images/7562_n.jpg",biography:null,institutionString:null,institution:null},{id:"318905",title:"Prof.",name:"Elvis",middleName:"Kwason",surname:"Tiburu",slug:"elvis-tiburu",fullName:"Elvis Tiburu",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Ghana",country:{name:"Ghana"}}},{id:"336193",title:"Dr.",name:"Abdullah",middleName:null,surname:"Alamoudi",slug:"abdullah-alamoudi",fullName:"Abdullah Alamoudi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Majmaah University",country:{name:"Saudi Arabia"}}},{id:"318657",title:"MSc.",name:"Isabell",middleName:null,surname:"Steuding",slug:"isabell-steuding",fullName:"Isabell Steuding",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Harz University of Applied Sciences",country:{name:"Germany"}}},{id:"318656",title:"BSc.",name:"Peter",middleName:null,surname:"Kußmann",slug:"peter-kussmann",fullName:"Peter Kußmann",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Harz University of Applied Sciences",country:{name:"Germany"}}},{id:"338222",title:"Mrs.",name:"María José",middleName:null,surname:"Lucía Mudas",slug:"maria-jose-lucia-mudas",fullName:"María José Lucía Mudas",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Carlos III University of Madrid",country:{name:"Spain"}}},{id:"147824",title:"Mr.",name:"Pablo",middleName:null,surname:"Revuelta Sanz",slug:"pablo-revuelta-sanz",fullName:"Pablo Revuelta Sanz",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Carlos III University of Madrid",country:{name:"Spain"}}}]}},subseries:{item:{id:"7",type:"subseries",title:"Bioinformatics and Medical Informatics",keywords:"Biomedical Data, Drug Discovery, Clinical Diagnostics, Decoding Human Genome, AI in Personalized Medicine, Disease-prevention Strategies, Big Data Analysis in Medicine",scope:"Bioinformatics aims to help understand the functioning of the mechanisms of living organisms through the construction and use of quantitative tools. The applications of this research cover many related fields, such as biotechnology and medicine, where, for example, Bioinformatics contributes to faster drug design, DNA analysis in forensics, and DNA sequence analysis in the field of personalized medicine. Personalized medicine is a type of medical care in which treatment is customized individually for each patient. Personalized medicine enables more effective therapy, reduces the costs of therapy and clinical trials, and also minimizes the risk of side effects. Nevertheless, advances in personalized medicine would not have been possible without bioinformatics, which can analyze the human genome and other vast amounts of biomedical data, especially in genetics. The rapid growth of information technology enabled the development of new tools to decode human genomes, large-scale studies of genetic variations and medical informatics. The considerable development of technology, including the computing power of computers, is also conducive to the development of bioinformatics, including personalized medicine. In an era of rapidly growing data volumes and ever lower costs of generating, storing and computing data, personalized medicine holds great promises. Modern computational methods used as bioinformatics tools can integrate multi-scale, multi-modal and longitudinal patient data to create even more effective and safer therapy and disease prevention methods. Main aspects of the topic are: Applying bioinformatics in drug discovery and development; Bioinformatics in clinical diagnostics (genetic variants that act as markers for a condition or a disease); Blockchain and Artificial Intelligence/Machine Learning in personalized medicine; Customize disease-prevention strategies in personalized medicine; Big data analysis in personalized medicine; Translating stratification algorithms into clinical practice of personalized medicine.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/7.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11403,editor:{id:"351533",title:"Dr.",name:"Slawomir",middleName:null,surname:"Wilczynski",slug:"slawomir-wilczynski",fullName:"Slawomir Wilczynski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035U1loQAC/Profile_Picture_1630074514792",biography:"Professor Sławomir Wilczyński, Head of the Chair of Department of Basic Biomedical Sciences, Faculty of Pharmaceutical Sciences, Medical University of Silesia in Katowice, Poland. 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He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},subseries:[{id:"22",title:"Applied Intelligence",keywords:"Machine Learning, Intelligence Algorithms, Data Science, Artificial Intelligence, Applications on Applied Intelligence",scope:"This field is the key in the current industrial revolution (Industry 4.0), where the new models and developments are based on the knowledge generation on applied intelligence. The motor of the society is the industry and the research of this topic has to be empowered in order to increase and improve the quality of our lives.",annualVolume:11418,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"13633",title:"Prof.",name:"Abdelhamid",middleName:null,surname:"Mellouk",fullName:"Abdelhamid Mellouk",profilePictureURL:"https://mts.intechopen.com/storage/users/13633/images/1567_n.jpg",institutionString:null,institution:{name:"Paris 12 Val de Marne University",institutionURL:null,country:{name:"France"}}},{id:"109268",title:"Dr.",name:"Ali",middleName:null,surname:"Al-Ataby",fullName:"Ali Al-Ataby",profilePictureURL:"https://mts.intechopen.com/storage/users/109268/images/7410_n.jpg",institutionString:null,institution:{name:"University of Liverpool",institutionURL:null,country:{name:"United Kingdom"}}},{id:"3807",title:"Dr.",name:"Carmelo",middleName:"Jose Albanez",surname:"Bastos-Filho",fullName:"Carmelo Bastos-Filho",profilePictureURL:"https://mts.intechopen.com/storage/users/3807/images/624_n.jpg",institutionString:null,institution:{name:"Universidade de Pernambuco",institutionURL:null,country:{name:"Brazil"}}},{id:"38850",title:"Dr.",name:"Efren",middleName:null,surname:"Gorrostieta Hurtado",fullName:"Efren Gorrostieta Hurtado",profilePictureURL:"https://mts.intechopen.com/storage/users/38850/images/system/38850.jpg",institutionString:null,institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},{id:"239041",title:"Prof.",name:"Yang",middleName:null,surname:"Yi",fullName:"Yang Yi",profilePictureURL:"https://mts.intechopen.com/storage/users/239041/images/system/239041.jpeg",institutionString:"Virginia Tech",institution:{name:"Virginia Tech",institutionURL:null,country:{name:"United States of America"}}}]},{id:"23",title:"Computational Neuroscience",keywords:"Single-Neuron Modeling, Sensory Processing, Motor Control, Memory and Synaptic Pasticity, Attention, Identification, Categorization, Discrimination, Learning, Development, Axonal Patterning and Guidance, Neural Architecture, Behaviours and Dynamics of Networks, Cognition and the Neuroscientific Basis of Consciousness",scope:"Computational neuroscience focuses on biologically realistic abstractions and models validated and solved through computational simulations to understand principles for the development, structure, physiology, and ability of the nervous system. This topic is dedicated to biologically plausible descriptions and computational models - at various abstraction levels - of neurons and neural systems. This includes, but is not limited to: single-neuron modeling, sensory processing, motor control, memory, and synaptic plasticity, attention, identification, categorization, discrimination, learning, development, axonal patterning, guidance, neural architecture, behaviors, and dynamics of networks, cognition and the neuroscientific basis of consciousness. Particularly interesting are models of various types of more compound functions and abilities, various and more general fundamental principles (e.g., regarding architecture, organization, learning, development, etc.) found at various spatial and temporal levels.",annualVolume:11419,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"13818",title:"Dr.",name:"Asim",middleName:null,surname:"Bhatti",fullName:"Asim Bhatti",profilePictureURL:"https://mts.intechopen.com/storage/users/13818/images/system/13818.jpg",institutionString:null,institution:{name:"Deakin University",institutionURL:null,country:{name:"Australia"}}},{id:"151889",title:"Dr.",name:"Joao Luis Garcia",middleName:null,surname:"Rosa",fullName:"Joao Luis Garcia Rosa",profilePictureURL:"https://mts.intechopen.com/storage/users/151889/images/4861_n.jpg",institutionString:null,institution:{name:"University of Sao Paulo",institutionURL:null,country:{name:"Brazil"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",fullName:"Yalcin Isler",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",institutionURL:null,country:{name:"Turkey"}}}]},{id:"24",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.",annualVolume:11420,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"1177",title:"Prof.",name:"Antonio",middleName:"J. R.",surname:"Neves",fullName:"Antonio Neves",profilePictureURL:"https://mts.intechopen.com/storage/users/1177/images/system/1177.jpg",institutionString:null,institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}},{id:"220565",title:"Dr.",name:"Jucheng",middleName:null,surname:"Yang",fullName:"Jucheng Yang",profilePictureURL:"https://mts.intechopen.com/storage/users/220565/images/5988_n.jpg",institutionString:null,institution:{name:"Tianjin University of Technology",institutionURL:null,country:{name:"China"}}},{id:"29299",title:"Prof.",name:"Serestina",middleName:null,surname:"Viriri",fullName:"Serestina Viriri",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYOalQAG/Profile_Picture_1620817405517",institutionString:null,institution:{name:"University of KwaZulu-Natal",institutionURL:null,country:{name:"South Africa"}}},{id:"315933",title:"Dr.",name:"Yalın",middleName:null,surname:"Baştanlar",fullName:"Yalın Baştanlar",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002qpr7hQAA/Profile_Picture_1621430127547",institutionString:null,institution:{name:"Izmir Institute of Technology",institutionURL:null,country:{name:"Turkey"}}}]},{id:"25",title:"Evolutionary Computation",keywords:"Genetic Algorithms, Genetic Programming, Evolutionary Programming, Evolution Strategies, Hybrid Algorithms, Bioinspired Metaheuristics, Ant Colony Optimization, Evolutionary Learning, Hyperparameter Optimization",scope:"Evolutionary computing is a paradigm that has grown dramatically in recent years. This group of bio-inspired metaheuristics solves multiple optimization problems by applying the metaphor of natural selection. It so far has solved problems such as resource allocation, routing, schedule planning, and engineering design. Moreover, in the field of machine learning, evolutionary computation has carved out a significant niche both in the generation of learning models and in the automatic design and optimization of hyperparameters in deep learning models. This collection aims to include quality volumes on various topics related to evolutionary algorithms and, alternatively, other metaheuristics of interest inspired by nature. For example, some of the issues of interest could be the following: Advances in evolutionary computation (Genetic algorithms, Genetic programming, Bio-inspired metaheuristics, Hybrid metaheuristics, Parallel ECs); Applications of evolutionary algorithms (Machine learning and Data Mining with EAs, Search-Based Software Engineering, Scheduling, and Planning Applications, Smart Transport Applications, Applications to Games, Image Analysis, Signal Processing and Pattern Recognition, Applications to Sustainability).",annualVolume:11421,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"111683",title:"Prof.",name:"Elmer",middleName:"P.",surname:"Dadios",fullName:"Elmer Dadios",profilePictureURL:"https://mts.intechopen.com/storage/users/111683/images/system/111683.jpg",institutionString:"De La Salle University",institution:{name:"De La Salle University",institutionURL:null,country:{name:"Philippines"}}},{id:"106873",title:"Prof.",name:"Hongwei",middleName:null,surname:"Ge",fullName:"Hongwei Ge",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institutionString:null,institution:{name:"Dalian University of Technology",institutionURL:null,country:{name:"China"}}},{id:"171056",title:"Dr.",name:"Sotirios",middleName:null,surname:"Goudos",fullName:"Sotirios Goudos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bS9IuQAK/Profile_Picture_1622623673666",institutionString:null,institution:{name:"Aristotle University of Thessaloniki",institutionURL:null,country:{name:"Greece"}}},{id:"15895",title:"Assistant Prof.",name:"Takashi",middleName:null,surname:"Kuremoto",fullName:"Takashi Kuremoto",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLrqQAG/Profile_Picture_1625656196038",institutionString:null,institution:{name:"Nippon Institute of Technology",institutionURL:null,country:{name:"Japan"}}},{id:"125844",title:"Prof.",name:"Wellington",middleName:"Pinheiro Dos",surname:"Santos",fullName:"Wellington Santos",profilePictureURL:"https://mts.intechopen.com/storage/users/125844/images/4878_n.jpg",institutionString:null,institution:{name:"Federal University of Pernambuco",institutionURL:null,country:{name:"Brazil"}}}]},{id:"26",title:"Machine Learning and Data Mining",keywords:"Intelligent Systems, Machine Learning, Data Science, Data Mining, Artificial Intelligence",scope:"The scope of machine learning and data mining is immense and is growing every day. It has become a massive part of our daily lives, making predictions based on experience, making this a fascinating area that solves problems that otherwise would not be possible or easy to solve. This topic aims to encompass algorithms that learn from experience (supervised and unsupervised), improve their performance over time and enable machines to make data-driven decisions. It is not limited to any particular applications, but contributions are encouraged from all disciplines.",annualVolume:11422,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",institutionString:null,institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"43680",title:"Prof.",name:"Ciza",middleName:null,surname:"Thomas",fullName:"Ciza Thomas",profilePictureURL:"https://mts.intechopen.com/storage/users/43680/images/system/43680.jpeg",institutionString:null,institution:{name:"Government of Kerala",institutionURL:null,country:{name:"India"}}},{id:"16614",title:"Prof.",name:"Juan Ignacio",middleName:null,surname:"Guerrero Alonso",fullName:"Juan Ignacio Guerrero Alonso",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6HB8QAM/Profile_Picture_1627901127555",institutionString:null,institution:{name:"University of Seville",institutionURL:null,country:{name:"Spain"}}},{id:"3095",title:"Prof.",name:"Kenji",middleName:null,surname:"Suzuki",fullName:"Kenji Suzuki",profilePictureURL:"https://mts.intechopen.com/storage/users/3095/images/1592_n.jpg",institutionString:null,institution:{name:"University of Chicago",institutionURL:null,country:{name:"United States of America"}}},{id:"214067",title:"Dr.",name:"W. David",middleName:null,surname:"Pan",fullName:"W. David Pan",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSEI9QAO/Profile_Picture_1623656213532",institutionString:null,institution:{name:"University of Alabama in Huntsville",institutionURL:null,country:{name:"United States of America"}}},{id:"72920",title:"Prof.",name:"Yves",middleName:"Philippe",surname:"Rybarczyk",fullName:"Yves Rybarczyk",profilePictureURL:"https://mts.intechopen.com/storage/users/72920/images/system/72920.jpeg",institutionString:"Dalarna University, Faculty of Data and Information Sciences",institution:{name:"Dalarna University",institutionURL:null,country:{name:"Sweden"}}}]},{id:"27",title:"Multi-Agent Systems",keywords:"Collaborative Intelligence, Learning, Distributed Control System, Swarm Robotics, Decision Science, Software Engineering",scope:"Multi-agent systems are recognised as a state of the art field in Artificial Intelligence studies, which is popular due to the usefulness in facilitation capabilities to handle real-world problem-solving in a distributed fashion. The area covers many techniques that offer solutions to emerging problems in robotics and enterprise-level software systems. Collaborative intelligence is highly and effectively achieved with multi-agent systems. Areas of application include swarms of robots, flocks of UAVs, collaborative software management. Given the level of technological enhancements, the popularity of machine learning in use has opened a new chapter in multi-agent studies alongside the practical challenges and long-lasting collaboration issues in the field. It has increased the urgency and the need for further studies in this field. We welcome chapters presenting research on the many applications of multi-agent studies including, but not limited to, the following key areas: machine learning for multi-agent systems; modeling swarms robots and flocks of UAVs with multi-agent systems; decision science and multi-agent systems; software engineering for and with multi-agent systems; tools and technologies of multi-agent systems.",annualVolume:11423,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"275140",title:"Dr.",name:"Dinh Hoa",middleName:null,surname:"Nguyen",fullName:"Dinh Hoa Nguyen",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRbnKQAS/Profile_Picture_1622204093453",institutionString:null,institution:{name:"Kyushu University",institutionURL:null,country:{name:"Japan"}}},{id:"20259",title:"Dr.",name:"Hongbin",middleName:null,surname:"Ma",fullName:"Hongbin Ma",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRhDJQA0/Profile_Picture_2022-05-02T08:25:21.jpg",institutionString:null,institution:{name:"Beijing Institute of Technology",institutionURL:null,country:{name:"China"}}},{id:"28640",title:"Prof.",name:"Yasushi",middleName:null,surname:"Kambayashi",fullName:"Yasushi Kambayashi",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYOQxQAO/Profile_Picture_1625660525470",institutionString:null,institution:{name:"Nippon Institute of Technology",institutionURL:null,country:{name:"Japan"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/80003",hash:"",query:{},params:{id:"80003"},fullPath:"/chapters/80003",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()