Soybeans production
\\n\\n
IntechOpen Book Series will also publish a program of research-driven Thematic Edited Volumes that focus on specific areas and allow for a more in-depth overview of a particular subject.
\\n\\nIntechOpen Book Series will be launching regularly to offer our authors and editors exciting opportunities to publish their research Open Access. We will begin by relaunching some of our existing Book Series in this innovative book format, and will expand in 2022 into rapidly growing research fields that are driving and advancing society.
\\n\\nLaunching 2021
\\n\\nArtificial Intelligence, ISSN 2633-1403
\\n\\nVeterinary Medicine and Science, ISSN 2632-0517
\\n\\nBiochemistry, ISSN 2632-0983
\\n\\nBiomedical Engineering, ISSN 2631-5343
\\n\\nInfectious Diseases, ISSN 2631-6188
\\n\\nPhysiology (Coming Soon)
\\n\\nDentistry (Coming Soon)
\\n\\nWe invite you to explore our IntechOpen Book Series, find the right publishing program for you and reach your desired audience in record time.
\\n\\nNote: Edited in October 2021
\\n"}]',published:!0,mainMedia:{caption:"",originalUrl:"/media/original/132"}},components:[{type:"htmlEditorComponent",content:'With the desire to make book publishing more relevant for the digital age and offer innovative Open Access publishing options, we are thrilled to announce the launch of our new publishing format: IntechOpen Book Series.
\n\nDesigned to cover fast-moving research fields in rapidly expanding areas, our Book Series feature a Topic structure allowing us to present the most relevant sub-disciplines. Book Series are headed by Series Editors, and a team of Topic Editors supported by international Editorial Board members. Topics are always open for submissions, with an Annual Volume published each calendar year.
\n\nAfter a robust peer-review process, accepted works are published quickly, thanks to Online First, ensuring research is made available to the scientific community without delay.
\n\nOur innovative Book Series format brings you:
\n\nIntechOpen Book Series will also publish a program of research-driven Thematic Edited Volumes that focus on specific areas and allow for a more in-depth overview of a particular subject.
\n\nIntechOpen Book Series will be launching regularly to offer our authors and editors exciting opportunities to publish their research Open Access. We will begin by relaunching some of our existing Book Series in this innovative book format, and will expand in 2022 into rapidly growing research fields that are driving and advancing society.
\n\nLaunching 2021
\n\nArtificial Intelligence, ISSN 2633-1403
\n\nVeterinary Medicine and Science, ISSN 2632-0517
\n\nBiochemistry, ISSN 2632-0983
\n\nBiomedical Engineering, ISSN 2631-5343
\n\nInfectious Diseases, ISSN 2631-6188
\n\nPhysiology (Coming Soon)
\n\nDentistry (Coming Soon)
\n\nWe invite you to explore our IntechOpen Book Series, find the right publishing program for you and reach your desired audience in record time.
\n\nNote: Edited in October 2021
\n'}],latestNews:[{slug:"intechopen-supports-asapbio-s-new-initiative-publish-your-reviews-20220729",title:"IntechOpen Supports ASAPbio’s New Initiative Publish Your Reviews"},{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"}]},book:{item:{type:"book",id:"1322",leadTitle:null,fullTitle:"Air Quality - Monitoring and Modeling",title:"Air Quality",subtitle:"Monitoring and Modeling",reviewType:"peer-reviewed",abstract:"The book reports research on relationship between fungal contamination and its health effects in large Asian cities, estimation of ambient air quality in Delhi, a qualitative study of air pollutants from road traffic, air quality in low-energy buildings, some aspects of the Sentinel method for pollution problem, evaluation of dry atmospheric deposition at sites in the vicinity of fuel oil fired power, particles especially PM 10 in the indoor environment, etc.",isbn:null,printIsbn:"978-953-51-0161-1",pdfIsbn:"978-953-51-5216-3",doi:"10.5772/1792",price:119,priceEur:129,priceUsd:155,slug:"air-quality-monitoring-and-modeling",numberOfPages:242,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"2b927fed40df8d0658b55110febe1028",bookSignature:"Sunil Kumar and Rakesh Kumar",publishedDate:"February 29th 2012",coverURL:"https://cdn.intechopen.com/books/images_new/1322.jpg",numberOfDownloads:32517,numberOfWosCitations:41,numberOfCrossrefCitations:19,numberOfCrossrefCitationsByBook:1,numberOfDimensionsCitations:44,numberOfDimensionsCitationsByBook:1,hasAltmetrics:0,numberOfTotalCitations:104,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 7th 2011",dateEndSecondStepPublish:"May 5th 2011",dateEndThirdStepPublish:"September 9th 2011",dateEndFourthStepPublish:"October 9th 2011",dateEndFifthStepPublish:"February 8th 2012",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"86581",title:"Dr.",name:"Sunil",middleName:null,surname:"Kumar",slug:"sunil-kumar",fullName:"Sunil Kumar",profilePictureURL:"https://mts.intechopen.com/storage/users/86581/images/2108_n.jpg",biography:"Er. Kumar has been working in the field of Environmental Engineering and Management in general and Solid and Hazardous Waste Management in particular since quite some time. He has been deeply involved in R&D activities in municipal solid waste (MSW) management at National Environmental Engineering Research Institute (NEERI), Council of Scientific and Industrial Research, Government of India. \nHis contribution in GHG inventory estimation from solid waste landfills and its uncertainty analysis under India’s Initial National Communication (NATCOM) to the United Nations Framework Convention on Climate Change (UNFCC) is well recognized internationally. He has been involved in capacity building of local bodies under various projects in solid waste management. He was involved in long-term planning of solid waste management for various cities at NEERI, Nagpur. He also delivered lectures on solid waste management in various training programs at national and international level. He has recently edited a special issue on Landfill Gas Modeling and Management for Journal of Air and Waste Management Association. He has also many special issues on municipal solid waste management for international journals like Environmental Monitoring and Assessment, Int. Journal of Environment and pollution, Int. Journal of Environment and Waste Management, two issues for Int. Journal of Environmental Technology and Management, Inderscience Publication. Recently, he has edited a Book on Waste Management published by IN-TECH Publication, Austria. . \nThe major areas of working include landfill design, composting, anaerobic digestion of municipal solid waste, wastewater management, GHG Emission and CDM potential from landfills, EIA of highway projects and hazardous waste management. He has published approximately 40 international research papers in journal of international repute with high impact factor covered referred journals and 15 papers are under review/submission stage to various international journals. \nHis collaborators include US EPA, University of Calgary, Canada, AIT Thailand, Kasetsart University Thailand, Georgia Institute of Technology, USA, Jadavpur University, India, Uppsala University Sweden etc. He is the Editorial Board member of International Journal of Environmental Monitoring and Assessment besides working as a Guest Editor for many international journals in the domain of solid waste management.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"3",institution:null}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:{id:"151383",title:"Dr.",name:"Rakesh",middleName:null,surname:"Kumar",slug:"rakesh-kumar",fullName:"Rakesh Kumar",profilePictureURL:"https://mts.intechopen.com/storage/users/151383/images/system/151383.jpg",biography:'Dr. Rakesh Kumar has taken over as Director of the CSIR-National Environmental Engineering Research Institute (CSIR-NEERI). He has assumed charge on 23rd May 2016. Before becoming Director, Dr. Kumar was Chief Scientist and Head of Mumbai Zonal Laboratory, CSIR-NEERI. He obtained M.Tech. in Environmental Science and Engineering from IIT-Bombay and Ph.D. in Environmental Engineering from RTM Nagpur University. He has a vast experience in all fields of environmental science and engineering, especially air pollution control and management, urban air quality monitoring, emission inventory and modeling, environmental impact assessment, environmental audit, climate change and health. Dr. Kumar has given a notable contribution in developing technologies for reuse and recycle of domestic and industrial wastewater which brought a paradigm shift in the country. His efforts have always been for upliftment and application of Science and Technology for a sustainable development. His goal is to provide science and technology oriented solutions for the benefit of society and industry. He has received 9 awards for his outstanding contributions in Environmental Science & Engineering, among which the notable ones are Commonwealth Commission Award, UK in 1994; “Environmental Leadership Award” by US Asia Environmental Partnership and US-AID for the year 2005 for outstanding contribution in improving quality of life for the population of Asia. He has been given an award for largest number of technology transfer for low cost waste water treatment-PHYTORID in the year 2012. He has been given VASVIK award for 2012 for his exemplary work for urban environment improvement and sustainable technology "Phytorid" for sewage treatment for better environment. He has been recently awarded "Hiyoshi Think of Ecology Award" in September 2015 for his work on use of ecology in solving environmental engineering problems. He has also served as ‘Adjunct Professor’ at Centre for Environmental Science and Engineering, IIT-Bombay. \n\nDr. Kumar has ten patents on pollution control devices including two international patents, and published more than 83 papers in national and international Journals and 92 papers in national and international conferences. 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Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"48938",title:"New Cheese-Like Food Production from Soy Milk — Utility of Soy Milk Curdling Yeast",doi:"10.5772/60848",slug:"new-cheese-like-food-production-from-soy-milk-utility-of-soy-milk-curdling-yeast",body:'Soybeans have been used as traditional foods from ancient times. They are rich in nutrients such as rich proteins, lipids, and others. Furthermore, soybeans can be eaten after processing in various ways.
Eastern Asian people and particularly Japanese people have eaten soybeans after various stages of processing. Soybean seedlings are eaten in many dishes as bean sprouts. Furthermore, soybeans are eaten as green beans in the pod after boiling, as
After hard tissues in boiled soybeans are crushed and ground physically, the soluble fraction is extracted as soy milk. Soy milk is processed as
Theories about the origin of soybean use and cultivation remain controversial in their details. By some accounts, soybeans used as food originated in the area of Manchuria in China and Siberia in Russia. Alternatively, their use as food originated in southern China [1]. Yet another possible history holds that soybeans were bred from wild soybeans as
In China, the first literal record can be found in a Chinese dictionary published in 100 B.C. The dictionary inserted “
In Japan also, “
Soybeans were produced only in eastern Asia for a long time. In contrast, other cereals such as rice, barley, wheat, and corn have diffused throughout the world. Moreover, it is considered that some other endemic bean or pea or pulse had become cultivated in each area already [1].
For instance, in central Asia, broad beans were cultivated, as were chick peas in India, shell peas in western Asia, and kidney beans and ground peas in North America. Nevertheless, soybeans have been cultivated in the United States as oil seed crops since the 1920s. Furthermore, the crop has begun to be cultivated in Canada and South America. In 2012, approximately 82 million tons of soybeans were harvested, with the United States accounting for 34% of the world production. Brazil harvested approximately 66 million tons that year, accounting for 27% of world production. Argentina harvested approximately 40 million tons, or 17% of world production. Therefore, most soybeans (over 80%) consumed worldwide are now produced and harvested in North and South America [2] (Table 1).
In Japan, soybean production was sufficient to provide for domestic consumption until the Taisho Era [1]. Soybean consumption in Japan has been high, but it decreased after the Taisho Era. In 2013, 30 million tons were consumed, but only 240 thousand tons were harvested domestically. That figure is less than 0.1% of the world production amount. Soybeans used domestically account for 104 thousand tons for feed, 6 thousand tons for seed, and 1.9 million tons for oilseeds, all together accounting for 70% of the 30 million tons consumed. Furthermore, those figures indicate that only 30% of soybeans are used as food. The self-sufficiency ratio of soybeans was 97% in 1947. It decreased gradually to 28% in 1959, 11% in 1965, and 7% in 2013 [3]. The ratios of soybeans used for food are 49% used for
\n\t\t\t\t | \n\t\t\t\t\t | \n\t\t\t\t\n\t\t\t\t\t | \n\t\t\t
United States | \n\t\t\t8205 | \n\t\t\t33.9 | \n\t\t
Brazil | \n\t\t\t6585 | \n\t\t\t27.2 | \n\t\t
Argentina | \n\t\t\t4010 | \n\t\t\t16.6 | \n\t\t
India | \n\t\t\t1467 | \n\t\t\t6.1 | \n\t\t
China | \n\t\t\t1305 | \n\t\t\t5.4 | \n\t\t
Canada | \n\t\t\t509 | \n\t\t\t2.1 | \n\t\t
Paraguay | \n\t\t\t434 | \n\t\t\t1.8 | \n\t\t
Uruguay | \n\t\t\t300 | \n\t\t\t1.2 | \n\t\t
Ukraine | \n\t\t\t241 | \n\t\t\t1.0 | \n\t\t
Bolivia | \n\t\t\t206 | \n\t\t\t0.9 | \n\t\t
Russia | \n\t\t\t181 | \n\t\t\t0.7 | \n\t\t
Indonesia | \n\t\t\t84 | \n\t\t\t0.3 | \n\t\t
South Africa | \n\t\t\t65 | \n\t\t\t0.3 | \n\t\t
Nigeria | \n\t\t\t58 | \n\t\t\t0.2 | \n\t\t
North Korea | \n\t\t\t35 | \n\t\t\t0.1 | \n\t\t
Japan | \n\t\t\t24 | \n\t\t\t0.1 | \n\t\t
Myanmar | \n\t\t\t21 | \n\t\t\t0.1 | \n\t\t
Others | \n\t\t\t454 | \n\t\t\t1.9 | \n\t\t
World total | \n\t\t\t24,184 | \n\t\t\t100 | \n\t\t
Soybeans production
Source: http://www.maff.go.jp/j/seisan/ryutu/daizu/d_data/pdf/014.pdf
\n\t\t\t\t | \n\t\t\t\t\t | \n\t\t\t\t\n\t\t\t\t\t | \n\t\t\t
Miso paste | \n\t\t\t138 | \n\t\t\t123 | \n\t\t
Soy sauce | \n\t\t\t38 | \n\t\t\t33 | \n\t\t
\n\t\t\t\t | \n\t\t\t494 | \n\t\t\t454 | \n\t\t
Natto | \n\t\t\t137 | \n\t\t\t125 | \n\t\t
Frozen | \n\t\t\t30 | \n\t\t\t20 | \n\t\t
Soy milk | \n\t\t\t19 | \n\t\t\t40 | \n\t\t
Delicatessen of soybean | \n\t\t\t33 | \n\t\t\t30 | \n\t\t
Kinako soy powder | \n\t\t\t17 | \n\t\t\t18 | \n\t\t
Other | \n\t\t\t128 | \n\t\t\t93 | \n\t\t
Total | \n\t\t\t1034 | \n\t\t\t936 | \n\t\t
Changes in amount of soybeans for applications
(Unit: thousand tons)
Ref. http://www.maff.go.jp/j/seisan/ryutu/daizu/d_data/
Soybeans contain 35% protein as storage protein, which is used for nutrition during germination. That storage protein is stored in granules, called protein bodies, of about 5–8 μm diameter. Soluble soy protein is extracted from insoluble protein bodies that are burst during soy milk and
Protein digestibility-corrected amino acid score (PDCAAS) values are used to evaluate the protein quality based on the amino acid requirements of humans and their ability to digest it. It was long thought that the amount of amino acid requirements of humans dictate a low score for soybeans because methionine and cysteine residues, sulfur amino acids, in soybean storage proteins have a low composition. The score was only 86 points based on the amino acid requirements of a developing rat. However, in 1985, the score was modified to 100 points, the same as milk and eggs, based on the amino acid requirements of humans. Soy storage proteins are rich in nutrition for human needs [4].
Throughout the world, the recently improving healthy image of soy protein is interesting. In particular, the health benefits of soy foods attract attention in the United States. Health claims are authorized by the Food and Drug Administration (FDA) in the United States: foods containing 6.25 g of soy protein or more can be said by manufacturers to reduce the risk of heart disease if a consumer ingests 25 g/day of soy protein [5]. In Japan, some soybean containing foods are manufactured as
The taxonomy of soybean storage protein has been conducted according to the sedimentation coefficient by an ultracentrifugal fraction as 2S globulin, 7S globulin, 11S globulin, and 15S globulin. Yamauchi [1] reported details of soybean proteins: 2S globulin contained α-conglycinin, 7S globulin composed with β-conglycinin and γ-conglycinin, and 11S globulin-containing glycinin. In addition, the 11S globulin composes hexamer. It is a 350,000 Da protein. Furthermore, their proteins are composed with five subunits as G1–G5; their subunit was 10 polypeptides as A1a, A2, A1b, A3, A5A4, A4, B2, B1b, B4, and B3. Their polypeptides are combined specifically as A1aB1b, A1bB2, A2B1a, A3B4, and A5A4B3. In fact, β-conglycinin, called 7S globulin, combines a dimer protein and a monomer protein, which are 150,000–200,000 Da, or an average of 180,000 Da. They are composed of three subunits: an α-subunit of 63,000 Da, an α′-subunit of 67,000 Da, and a β-subunit of 48,000 Da. The protein has a low concentration of sulfur amino acids. In particular, the β-subunit does not contain methionine, cysteine, and tryptophan [6].
Soybeans have 20% lipids. The lipid concentration varies among harvested regions. Soybeans harvested in the United States have more lipids than those in China [1]. A main reason is that soybeans there have long been bred and modified to contain high oil concentrations as oilseed.
\n\t\t\t\t | \n\t\t\t\t\t | \n\t\t\t\t\n\t\t\t\t\t | \n\t\t\t\t\n\t\t\t\t\t | \n\t\t\t\t\n\t\t\t\t\t | \n\t\t\t\t\n\t\t\t\t\t | \n\t\t\t
Pork fat | \n\t\t\t26.2 | \n\t\t\t13.5 | \n\t\t\t42.9 | \n\t\t\t9 | \n\t\t\t0.3 | \n\t\t
Beef fat | \n\t\t\t38.7 | \n\t\t\t3.8 | \n\t\t\t42.1 | \n\t\t\t2.3 | \n\t\t\t2.4 | \n\t\t
Milk lipid | \n\t\t\t31.1 | \n\t\t\t9.2 | \n\t\t\t21.7 | \n\t\t\t1.6 | \n\t\t\t0.4 | \n\t\t
Soybean oil | \n\t\t\t10.5 | \n\t\t\t3.2 | \n\t\t\t22.3 | \n\t\t\t54.5 | \n\t\t\t8.3 | \n\t\t
Sunflower oil | \n\t\t\ttrace | \n\t\t\t4 | \n\t\t\t27.6 | \n\t\t\t58.3 | \n\t\t\ttrace | \n\t\t
Cotton oil | \n\t\t\t27.3 | \n\t\t\t3.1 | \n\t\t\t16.7 | \n\t\t\t50.4 | \n\t\t\ttrace | \n\t\t
Safflower oil | \n\t\t\t6 | \n\t\t\t3.4 | \n\t\t\t12.2 | \n\t\t\t77 | \n\t\t\t0.3 | \n\t\t
Components of fatty acids in foods (%)
Components of fatty acids in foods shows Table 3. Soy oil comprises a small amount of saturated fatty acids, such as palmitic acid and stearic acid, and large amount of unsaturated fatty acids such as oleic acid, linoleic acid, and linolenic acid. Polyunsaturated fatty acids (PUFAs) containing more than unsaturated bonds are important nutrition as necessary lipids for humans. Soybeans have over 60% PUFA. In particular, one kind of PUFA as linoleic acid contained approximately 54.5%.
Actually, PUFAs in animal lipids have low concentration. Therefore, they are insufficient nutritionally. Saturated fats and unsaturated fats are ideally in the following ratio: saturated–unsaturated (1:2) [1]. Soybean lipids were well known to be much stable against oxidation because they are covered as oil body particle by oleosin and other proteins.
Isoflavone is one kind of flavonoid (Fig. 1). Fabaceae sp. contain high concentrations (Fig. 1).
Isoflavone structure.
Generally, soybeans have totally 12 isoflavones in 3 aglycones, and they have three types of glycosides as glucoside, acetyl-glycoside and malonyl-glycosides: genistein, daidzein, glystein, genistin, daidzin, glycitin, acetyl-genistin, acetyl-daidzin, acetyl-glycitin, malonyl-genistin, malonyl-daidzin and malonyl-glycitin [7]. After soybean consumption, glycoside isoflavone, which is contained in food as soy milk or
Many Japanese and throughout eastern Asia intake isoflavone from soybeans. Some researchers have reported negative opinions about plant estrogen [8]. Isoflavones are produced via phenyl–propanoid pathway from phenylalanine in plants. Two intermediate substances, naringenins, are converted to genistein by two specific enzymes in soybeans: isoflavone synthetase and dehydrogenase. Chalcones are converted to daidzein by three specific enzymes in soybean: chalcone reductase, chalcone isomerase, and isoflavone synthetase. Isoflavone and a similar substance, phytoalexin, are used as antibacterial substances against phytopathogenic fungi and bacteria. In addition, they grow well as root nodule bacteria at the root for nitrogen fixation [9, 10].
Other beans and peas, legumes, have isoflavones: chickpeas have biochanin A [11]; alfalfa has formononetin and coumestrol [12]; and ground peas have genistein [13].
Isoflavones in many plants store glucosyl, malonyl-glucosyl, and acetyl-glucosyl conjugate as hydrophilic substances. After invasion of phytopathogenic fungus and bacteria, the glucosyl conjugate isoflavone is transferred to infested wounds, where it hydrolyzes for phytoalexin [14]. Isoflavone has health functions against climacteric disturbances and type 2 diabetes. In Japan, soybean isoflavones are a
Soy proteins have properties that produce curd to add specific metal ions. The property is applied for
Formation of
Soy milk is an emulsion composing lipid and soy protein, mainly glycinin and β-conglycinin. Actually, 60% of the protein in soy milk protein is composed of these two proteins, and a large size of the protein body was constructed with their proteins and others. Lipid is a triacylglyceride composed of linoleic acid, oleic acid, and phospholipids. Before treating, triacylglyceride is stored in oil bodies in soybeans. During soy milk production, and of course during
This phenomenon induces the charge of protein to dissipate by a combination of phytic acid and bivalent ion. Repulsion among their proteins is decreased. Moreover, the immobilized protein combines with outside layer protein easily around an oil drop [18]. Consequently, the steric network structure of soy protein is formed to gather oil drops with intermediary soy protein. Becoming low pH in soy milk, soluble soy protein becoming dissoluble is taken into the network. The curd produces a hard gel that is water retentive, such that moisture is trapped in the network.
As discussed above, soybean proteins provide rich nutrition [4, 19]. In fact, soymilk consumption is increasing quickly throughout the world because of its health benefits. Moreover, differently from bovine milk, it contains no cholesterol. Yogurt-like foods and cheese-like foods made from soybeans can be consumed by people who are concerned about health issues or allergies related to bovine milk.
It is not yet a viable alternative to dairy foods. For that reason, the commercial use of enzymes such as bromelain, ficin, and papain for the curdling of soybean milk has been unsuccessful [20–22]. The authors have reported that physical properties of soy protein modified by enzyme reactions such as germinated proteolysis in soybeans. Therefore, in this section, along with a report of yeast containing soybean curdling enzyme [23], this investigation was undertaken to screen and identify specific food yeast strains (
The yeast strains (1345 strains) stored in the laboratory were screened using soybean milk agar plate medium. The strains were inoculated by streaking on a plate surface. Then they were incubated at 30°C for 7 days. After cultivation, the clear zone diameter was measured using calipers. Yeast strains that produced a clear zone were selected. Results show that 1242 yeast strains among all 1345 yeast strains produced no clear zone on the plate medium. The yeast strains (42 strains) produced less than 1 mm of a clear zone. Also, 57 yeast strains produced 1.0–5.0 mm; 4 yeast strains produced more than 6 mm.
In the second screening of curdling soybean milk enzyme-producing yeast, the screened strains (103 strains) were inoculated to the soybean milk liquid medium. Purchased soybean milk was added to them aseptically.
The soybean milk medium was incubated at 30°C for 24 h. When curdling occurred, the pH of whey was measured using a pH meter (Horiba Ltd.). Results show that three yeasts curdled at pH greater than 5.90. The media were pH 5.90 (SCY 001), pH 6.05 (SCY 002), and pH 6.38 (SCY003) (Table 4).
\n\t\t\t\t\t | \n\t\t\t\t\n\t\t\t\t\t | \n\t\t\t\t\n\t\t\t | ||
(++) | \n\t\t\t\t(+) | \n\t\t\t\t(–) | \n\t\t\t\t\n\t\t\t | |
≥6.50 | \n\t\t\t0 | \n\t\t\t0 | \n\t\t\t7 | \n\t\t\t\n\t\t |
6.49–5.90 | \n\t\t\t1 | \n\t\t\t2 | \n\t\t\t43 | \n\t\t\t\n\t\t |
5.89–5.50 | \n\t\t\t0 | \n\t\t\t17 | \n\t\t\t17 | \n\t\t\t\n\t\t |
5.49–5.00 | \n\t\t\t2 | \n\t\t\t11 | \n\t\t\t0 | \n\t\t\t\n\t\t |
≤4.99 | \n\t\t\t3 | \n\t\t\t0 | \n\t\t\t0 | \n\t\t\t\n\t\t |
Curdling soybean milk condition by screened yeast
Initial pH was 6.70. ++, coagulating very well; +, coagulating; –, noncoagulating.
The curd activity of strain SCY003 was the highest among the strains. Therefore, the SCY003 strain was finally screened. Isolated yeasts were classified taxonomically and were identified according to methods described in earlier studies [24].
The morphology was observed by microscope. Their 1.5- to 6.5-μm-long cells were short and ovaloid. The yeast, which buds by multibudding reproduction, does not form pseudomycelia or pellicles on the liquid medium. It forms ascospores. It was identified as
For researching physiological characteristics of the strain, the yeast was inoculated into a yeast nitrogen base medium (Difco Laboratories) adding 0.5% of each carbon source: sugar or organic acid as glucose, galactose, sucrose, maltose, raffinose, trehalose, lactose, melibiose, cellobiose, melezitose, starch, D-xylose, L-arabinose, D-ribose, L-rhamnose, erythritol, D-mannitol, salicin, inositol, dulcitol, ethanol, D-sorbitol, disodium succinate, and trisodium citrate. The yeast was inoculated into yeast carbon base medium (Difco Laboratories) adding sodium nitrate solution.
The glucose, galactose, sucrose, maltose, and raffinose in the medium were fermented as carbon sources using strain SCY003. The yeasts grew in a vitamin-free medium. Furthermore, the strain did not grow in 0.01% cycloheximide. According to the morphological, physiological, and molecular characteristics, it was identified as
For researching molecular biological characteristics of the strain, primers were used for amplification and sequencing of 18S-rRNA-encoding genes. The PCR products were sequenced using a kit (ABI Prism Big Dye Terminator Cycle Sequencing Ready Reaction; Applied Biosystems). Analyses of DNA sequence reactions were performed using a sequencer (3130; Applied Biosystems). The 18S rRNA coding DNA was sequenced. Homology was assessed using the Basic Local Alignment Search Tool (BLAST; http://www.ncbi.nlm.nih.gov/BLAST/).
As a result, the yeast showed homology of 99% with
Enzyme extraction, intercellular, in
Generally, commercial soy milk has dispersion stability attributable to the presence of oleosomes or forming aggregate formation of soy proteins on it [28, 29]. Therefore, no precipitate is produced from commercial soybean milk by low centrifugal gravity as 400×
The precipitation ratio was related with the reaction period, and with the enzyme solution volume. They are mutually correlated:
Curdling soybean milk enzyme activity.
After crude extraction of the enzyme, the enzyme protein was purified using chromatography. After crushing cells and extracting the enzyme, the enzyme was precipitated to between 30% and 40% saturation of ammonium sulfate. After redissolving the precipitate, the solution was dialyzed overnight at 4°C, and they carried out ion-exchange chromatography using a column (25 mm × 300 mm) of DEAE gel. The protein was eluted using a 0- to 1-M NaCl linear gradient. Proteolytic activity and curdling were assayed each fraction. Proteolytic activity was measured in duplicate using a commercial kit fluorescein isothiocyanate-labeled casein (FTC). Fluorescence was measured using a 485-nm excitation wave and a 535-nm emission wave. The proteolytic activity was decided for one unit expressed equal amount of trypsin (1 ng⋅mL–1) doing proteolysis of FTC solution.
After ion chromatography, fractions containing the highest level of activity were pooled and reprecipitated using 80% saturation of ammonium sulfate. After redissolving the precipitate, gel filtration chromatography (10 mm × 350 mm, P-100 gel; Bio-Rad Laboratories Inc., CA, USA) was carried out. Then the molecular weight of the enzyme was analyzed using also the chromatography as various molecular weight standards (myosin, 200 kDa; serum albumin, 66.2 kDa; ovalbumin, 45.0 kDa; trypsin inhibitor, 21.5 kDa).
The results are portrayed in Figs. 4a and 4b. One main curdling activity peak was identified using ion-exchange chromatography. The peak (fraction no. 49) agreed with protein and activity. Furthermore, curdling activity agreed with the same fractions presenting protease activity (fraction no. 49).
(a). Ion-exchange chromatography of soybean milk curdling.
As a result, the larger peak of proteolysis activity was found around fraction number 25, and a small peak was found at fraction number 49. The fraction of the proteolysis enzyme around number 25 was not representative of curdling activity. It is considered that the former fractions are attributable to intense proteolysis enzymes and that the latter fractions are attributable to soybean milk-curdling enzymes.
After reprecipitation, the sample was analyzed using gel filtration chromatography. A peak was found at fraction numbers 11–14. Their fractions agreed with soybean milk curdling activity, proteolytic activity, and protein. This result on their chromatograms demonstrates that protease and soybean milk curdling enzyme have some mutual relation of activity.
After purification, the enzyme protein band was approximately 45 kDa (Fig. 5a), which agrees with data of other proteases. The protease molecular weight was measured using gel filtration chromatography (Fig. 5b). The molecular mass is about 45 kDa. The protease was inferred.
(a). Photograph of SDS-PAGE of soybean curding enzyme. (b). Measurement of molecular weight.
The soy milk curdling enzyme has proteolytic activity. Results suggest that the soy milk curdling enzyme was a proteolysis enzyme. Many researchers have reported protease produced by yeasts as
By contrast, few reports describe intracellular protease producing
Optimum pH, temperature, and stability of the enzyme are presented in Figs. 6a and 6b. Optimum pH was assayed at pH 4.0–8.0 using 50 mM phosphate-citric buffer or phosphate-NaOH. For optimum pH of the enzyme assaying, 0.1 mL of a fluorescein isothiocyanate-labeled casein (FTC) solutions, which dissolved in each phosphate buffer (50 mM, pH 4.0–8.0), and 20 μL of enzyme solution were reacted at 40°C for 60 min. For optimum temperature of the enzyme assaying, FTC solution at pH 7.5 (0.1 mL) and 20 μL of enzyme solution were reacted at 15°C–70°C for 60 min to find optimum temperature. After reaction, fluorescence was measured using a 485-nm excitation wave and a 535-nm emission wave.
The optimum pH for the protease activity as curdling was pH 7.5; the optimum temperature was 50°C. The optimum pH of a bovine milk curdling protease,
(a). Optimum pH of soybean curdling enzyme. (b). Optimum temperature of soybean curdling enzyme.
Park
Effects of metal ions and inhibitors on protease are presented in Table 5. In fact, zinc, copper, and mercury all inhibit protease activity. The amino acid of the active site contains cysteine residue because of inhibition by mercury [39]. Furthermore, EGTA (10 mM) inhibited protease activity (62.0% of relative activity).
\n\t\t\t\t\t \n\t\t\t\t\t | \n\t\t\t\t\n\t\t\t\t\t | \n\t\t\t\t\n\t\t\t\t\t | \n\t\t\t
Na+\n\t\t\t | \n\t\t\t1 mM | \n\t\t\t101.5 | \n\t\t
K+\n\t\t\t | \n\t\t\t1 mM | \n\t\t\t105.9 | \n\t\t
Mn2+\n\t\t\t | \n\t\t\t1 mM | \n\t\t\t101.9 | \n\t\t
Mg2+\n\t\t\t | \n\t\t\t1 mM | \n\t\t\t46.2 | \n\t\t
Fe2+\n\t\t\t | \n\t\t\t1 mM | \n\t\t\t95.4 | \n\t\t
Zn2+\n\t\t\t | \n\t\t\t1 mM | \n\t\t\t23.6 | \n\t\t
Co2+\n\t\t\t | \n\t\t\t1 mM | \n\t\t\t47.9 | \n\t\t
Cu2+\n\t\t\t | \n\t\t\t1 mM | \n\t\t\t17.9 | \n\t\t
Ca2+\n\t\t\t | \n\t\t\t1 mM | \n\t\t\t100.9 | \n\t\t
Iodo acetate | \n\t\t\t1 mM | \n\t\t\t74.1 | \n\t\t
Hg2+\n\t\t\t | \n\t\t\t1 mM | \n\t\t\t34.1 | \n\t\t
EGTA | \n\t\t\t1 mM | \n\t\t\t101.6 | \n\t\t
EGTA | \n\t\t\t10 mM | \n\t\t\t62.0 | \n\t\t
EDTA | \n\t\t\t1 mM | \n\t\t\t96.1 | \n\t\t
EDTA | \n\t\t\t10 mM | \n\t\t\t89.8 | \n\t\t
NEM | \n\t\t\t1 mM | \n\t\t\t98.5 | \n\t\t
Azid | \n\t\t\t1 mM | \n\t\t\t100.4 | \n\t\t
NBS | \n\t\t\t1 mM | \n\t\t\t97.6 | \n\t\t
Cont. | \n\t\t\t– | \n\t\t\t100.0 | \n\t\t
Effects of metal ion and inhibitor of the protease
The activity was not activated by metal ions, but it was inactivated by mercury. Soybean milk-curdling enzyme [38] was inhibited by zinc ions and mercury ions. These results agree with our data related to zinc and mercury. Its survival activity was 18% by mercury. The protease was not activated by metal ions, which indicates that the protease is not a metalloprotease: a metal-dependent enzyme. The amino acid of active site contains cysteine residue.
The mechanisms of curdling soybean milk protease were investigated. At first, The curdled soybean milk samples with added protease and without protease were treated with sample buffer solution.
Soybean milk was poured into a glass vessel (inner diameter 32 mm, height 45 mm). After 0.1 mL of enzyme solution adding to the soybean milk, or without enzyme 0.1 mL D.W., the mixtures were incubated at 40°C, and they were sampled sequentially; between 4- and 24-h. samples (0.01 mL) were added to 0.01 mL of sample buffer and then heated at 100°C for 3 min. Then samples (10 µl) were added in each well. The samples were electrophoresed on a 12.5% uniform gel at 20 mA.
They were subsequently examined using SDS–PAGE (Fig. 7) of curdled soybeans. The left side lane shows the standard of protein size. The next lane (0 h.) shows soybean milk protein without reaction of protease. The other lanes show soybean milk protein decomposed for 4, 8, 12, 16, and 24 h. Lane 0 h shows the α′- and α-subunits of β-conglycinin (approximately 84–73 kDa), the A3 acidic subunit (approximately 40 kDa), other acidic subunits as A4, A1a, A1b, and A2 (approximately 30–42 kDa) of glycinin, the β subunit (approximately 50 kDa), and basic subunits as B3, B1a, B1b, and B4 (approximately 20 kDa) [40, 41].
Digestion of soy protein during curding by soybean milk curdling enzyme.
The two bands shown as α′ and α disappeared gradually after the reaction, showing the protein band from curd making the protease. In the glycinin subunits, the band of the A3 acidic subunit disappeared completely after 4 h. Furthermore, A4, A1a, A1b, and A2 disappeared to a partial degree same as A3 acidic subunit. Peptides smaller than 20 kDa were detected on the gel. The β-conglycinin as α, α′, and part of glycinin as A3 A4, A1b, and A2 were decomposed. Soybean protein became loosely curdled with the addition of other proteases from microorganisms or plants. The protein was decomposed. The low-molecular-weight peptides increased on the polyacrylamide gel. Generally, 11S glycinin was related to the formation of a stiffer gel. Furthermore, Ono
According to our data, after the curdling soy milk by enzyme, α- and α′-subunits cleaved by the protease easily, whereas basic and β-subunit remained. It is considered that surface proteins as α- and α′-subunits were decomposed easily. Some decomposed subunits such as α, α′, A3, acidic, and basic subunits are regarded as related to the curdling soybean milk.
The enzyme of mechanisms for proteolysis was searched that the enzyme had the peptidase activity as exotype proteolysis activity and protease as endotype proteolysis activity. The synthesis peptide substrates, Z-glutamyl-tyrosine, and casein, FTC, were reacted by the enzymes. Peptidase (carboxypeptidase) activity was determined by the increase in ninhydrin after hydrolysis of benzyloxycarbonyl-glutamyl-tyrosine (pH 8.0) at 40°C.
The results show that the enzyme had 0.14 U⋅mg–1 protein as peptidase activity and 0.55 U⋅mg–1 protein protease as endotype proteolysis activity (data not shown). Results also show that the soybean milk-curdling enzyme as a proteolysis enzyme had endotype proteolysis activity.
Jones
As mechanisms that are closely involved in curdling soybeans, curdled soybean milk by enzyme and glucono-δ-lactone (GDL, 3.0% solution) as control samples were dissolved in chemical solutions. The enzyme solution (0.1 mL) was added to the soybean milk. The mixture was incubated at 40°C for 4 h., or 0.1 mL of glucono-δ-lactone (GDL, 3.0% solution) was added to the soybean milk (1.0 g) and incubated at 80°C for 1 h as control sample. To each of the two curdled soybean milk samples, 9 mL of chemical solution as 2% SDS solution, 4 M urea solution, and 10 mM 2-mercaptoethanol were added. They were held for 1 h at room temperature and were then centrifuged at 4000×
Results show the relative ratio of protein (%); that is, 100% relative ratio represents the amount of protein dissolving no-curdling soy milk in each solution (Fig. 8).
Curdled soy bean milk dissolved in chemical solutions. SCE shows soymilk curdled by enzymes; GDL shows soymilk curdled by glucono δ-lactone.
After dissolving the solutions, curd produced by the enzyme dissolved 47.3% of relative ratio from curd to the 2-mercaptoethanol solutions. That curdled by GDL dissolved 41.6% of relative ratio from the curd to the urea solutions. With urea solution, the curd making the enzyme dissolved 93.8% of relative ratio and GDL dissolved 40.3% of relative ratio. The curd produced by the enzyme can dissolve with urea. Both the curd produced by the enzyme and GDL dissolved with SDS solution. Actually, 2-mercaptoethanol solution cleaves the disulfide bond in protein. The urea solution cleaves the hydrogen bond, and the SDS solution cleaves the hydrophobic bond. That inference agrees with results reported by Yasuda
Next, the effects of the proteolysis enzyme against two protein in soybean, glycinin and β-conglycinin, were researched. Glycinin and β-conglycinin were extracted from commercial soy protein according a process described by Nagano
The data agree with reports in the relevant literature [45, 46, 47]. Bromelain decomposes 11S globulin to curdling. The entire band of acidic subunits and most basic subunits disappeared [46]. Glycinin-rich soybean milk was curdled strongly [47]. However, the enzyme made glycinin curdle without metal ion or GDL. Generally, glycinin is known to contain more sulfur amino acid than β-conglycinin does. According to Fig. 7, soymilk was curdled by a hydrogen bond or hydrophobic bond. Furthermore, some alkaline protease as subtilisin and chymotrypsin cleaves hydrophobic amino acid residue.
Curdling activity against two soy protein as glycinin and β-conglycinin.
The enzyme made curd from soymilk mainly by an enzyme reaction against glycinin. Choi
Soybean milk (10 mL) with 0.01 mL of anti-foam (KM-72F) was poured into a glass cup (32 mm inner diameter, 45 mm height). Then 1.5 mL of enzyme solution was added to the soybean milk. The mixture was incubated at 40°C for 4 h. As a control sample, glucono-δ-lactone (GDL, 0.3%) was added to soybean milk (10 mL) with 0.01 mL of anti-foam (KM-72F) added. Then the mixture was incubated at 80°C for 1 h. The curdled soybean milk samples were held at room temperature for 30 min. The rheological characteristics of enzyme curdling soybean milk were measured directly using a creep meter with a 16-mm-diameter plunger compressing 1 mm s–1 with 80.0%. As a control sample, soybean milk was curdled by GDL, 0.3% at 80°C for 1 h.
The rupture strength of the curdled soybean milk in the cups was measured directly using a creep meter (RE-3305; Yamaden Co. Ltd., Tokyo, Japan) with a 16-mm-diameter plunger compressing 1 mm s–1 with 80.0%.
The stress–strain curves of curdled soybean milk are presented in Fig. 10. The vertical axis shows stress (N⋅m–2), which represents internal forces of the sample curd pushing back against the strain. The horizontal axis shows the strain of the curd. The sample curd strained by the plunger is broken by a force that exceeds a certain force: the breaking point. The breaking load represents the hardness or softness of the curd sample. The breaking strain represents the resilience of the sample curd: a large value signifies a high-resilience sample. Pressure by the plunger was loaded more. Then the curd was broken more heavily. After strain loading, the stress value decreased partly. The brittleness shows a different breaking point with the local minimal value. A large brittleness load shows brittle sample curd. The soybean milk was poured into a glass vessel and then curdled using the respective methods. After curdling, rheological analysis of the sample was conducted using a creep meter without taking out.
Stress–strain curves of curdled soybean milk.
The breaking point of curd curdled using GDL, which is used by many Japanese
By contrast, the breaking point of curd curdled by soy curdling enzymes (SCE) was 58.4% strain. Their breaking stress was 10,930 (N⋅m–2). The brittleness point is 81.2% and 10,200 (N⋅m–2). The brittleness of this curd produced using the enzyme was 730 (N⋅m–2). The curd that used SCE had 1.4 times greater breaking point, shown hardness, than that of the curd produced using the GDL same as the Japanese
Heretofore, Yasuda
It is considered that the curd produced using yeast enzymes was not like
Guo and Ono [47] and Toyokawa
According to this report, the new protease from
Soybeans are a traditional food in eastern Asia, particularly in Japan and China. They were eaten in 100 BC in China. The beans can be processed into
Soy storage proteins mainly comprise two proteins as 7S globulin composed of β-conglycinin and γ-conglycinin and 11S globulin containing glycinin composed of 5 subunits. β-Conglycinin, included in 7S globulin, is composed of three subunits.
To modify the physical properties of soy protein, a new type of enzyme for curdling soybean milk enzyme was purified as an extract from yeast. Yeast producing curdling soybean milk enzyme, the SCY003 strain, was isolated from 1345 yeast strains. According to the morphology, physiology, and molecular and characteristics, SCY003 was identified as
The enzyme cleaved the β-conglycinin as α and α′, and part of glycinin as A3 A4, A1b, and A2 in soy protein by endoproteolysis. Soybean protein became loosely curdled with the addition of other proteases from microorganisms or plants. Soybean milk curdled after cleaving endoproteolysis enzyme in SCY003 strain. The rheological characteristics of enzyme curdling soybean milk, the breaking point, was 58.4% strain; their breaking stress was 10,900 (N⋅m–2); the brittleness point is 81.2% and 10,200 (N⋅m–2). The brittleness of the curd produced using the enzyme was 727 (N⋅m–2). The curd had a sticky and chewy texture and did not resemble
In this way, some properties of soy protein were modified by enzymes, such as decomposing specific subunits in soybeans and making soy milk curdle, which are expected to be applicable for new healthy foods, anti-milk allergy foods, and others.
We thank A-STEP, Adaptable and Seamless Technology, Transfer Program through Target Driven R&D by Japan Science and Technology Agency (JST) (AS231Z00291E) for financial support.
One of the actual problems of modern medicine is the views and approaches to wound healing, depending on the cause of wounds.
They are numerous, especially depending on the effect of bacteria, such as aerobic and anaerobic, viruses, fungi, injuries to the skin due to burns, and various chemical and physical factors, such as low temperature [1].
In recent years, difficulties in wound healing have been observed mainly due to the ineffectiveness of various widely used antimicrobials, especially antibiotics. It is more severe if it develops against some existing somatic diseases, such as diabetes and non-diabetes mellitus, some acquired connective tissue diseases, congenital and acquired immune deficiencies, etc. The search and development for new effective means of symptomatic-pathogenic treatment of wounds are one of the priorities of modern medicine.
In connection with this, it becomes expedient to carry out pharmacokinetic research to find out the ability of the components of the given composition to remain in the wound.
Studies show that the pharmacokinetics of Eflornithine rats are characterized by a slow systemic blood flow after co-administration of Eflornithine paste to rats, providing a pronounced restorative effect on the wound surface than with Eflornithine alone.
Wound healing has always been fraught with difficulties, as the use of a wide range of antibacterial drugs, including antibiotics, has often been ineffective due to the polymorphic nature of the bacteria found in the wound.
The search for new effective antimicrobials for wound healing, including the development of new formulations the ingredients of which may have a multifaceted inhibitory effect on the growth of bacteria in the wound, is still a very promising direction in modern medicine.
In this regard, Armenicum (ointment and paste) exhibits significant cytotoxic effects on a number of resident conditionally pathogenic bacteria [1, 2].
The authors attribute the effects of “Armenicum” quite well to iodine, which has a direct and/or mediated bactericidal effect by stimulating the activity of radicals in the wounds of diseased tissues [1, 3, 4, 5, 6].
The new composition “Eflornithine–Armenicum” has been developed by taking into account the new scientific interpretations that have appeared in the inflammatory processes of wounds during the last 10 years, which are given below:
“Armenicum” shows the spectrum of antibacterial and anti-inflammatory effects in wound processes caused by aerobic bacteria.
Eflornithine is endowed with a spectrum of antimicrobial activity against pathogenic and conditionally pathogenic resident bacteria containing polyamines.
Using the results of modern scientific research for the treatment of wounds, we found it expedient to develop the drug composition “Eflornithine–Armenicum”, which will be characterized by access restriction of polyamines to microorganisms.
The inclusion of Eflornithine in the composition of the Armenicum will inhibit diabetes and non-diabetes mellitus bacterial persistence in the earliest stages of the local inflammatory process, which will probably lead to a faster and earlier wound-healing process.
It should be noted that pharmacological examinations should be mandatory for the approbation of the therapeutic efficacy of the “Eflornithine–Armenicum” composition on the wound model.
Eflornithine human racemic pharmacokinetics are characterized by an oral bioavailability of approximately 50%, mainly renal elimination (>80%) of low extraction, no reported metabolites, negligible plasma protein binding, and a multiphasic plasma concentration-time profile, probably contributing to highly varying estimates of half-life ranging from 2 to 30 h and percutaneous absorption of topical applications of Eflornithine hydrochloride (HCl) cream is very low (<1%). Absorbed Eflornithine is rapidly eliminated from plasma and predominantly excreted in urine without being metabolized. While the percutaneous absorption of Eflornithine increased after twice-daily topical application, relative to the first application, absorption reached a steady state within four days of twice-daily application and remained low. Trough plasma concentrations also remained constant after four days of twice-daily application. Systemic exposure was low, with steady-state peak and trough plasma concentrations during twice-daily treatment of 10 and 5 ng/ml, respectively, and the terminal half-life averaged 8 to 11 hours. The low degree of percutaneous absorption and low systemic exposure to Eflornithine offer a favorable clinical safety profile of Eflornithine HCl 13.9% cream [7, 8, 9].
The results of the pharmacokinetics study of Armenicum paste following its application on wound surface in two doses showed that the pharmacokinetics of the major active ingredient of Armenicum paste was characterized by slow absorption into the blood and remained on the wound surface for a long time providing more pronounced pharmacological effect [6].
It should be noted that pharmacological studies should serve as an obligatory stage in testing the therapeutic efficacy of the “Eflornithine–Armenicum” composition on a wound model. For this purpose, we carried out pharmacokinetic studies of the medicinal composition created by us on the basis of the pharmacological company “Arpimed” (Armenia) in order to determine the duration of its stay on the wound surface and the rate of absorption from the wounds into the bloodstream.
Vaniqa 11.5% cream (11.5%, Vaniqa, Batch: 838225): Each gram of cream containing 115 mg of Eflornithine hydrochloride monohydrate as the active ingredient, 47.2 mg of cetostearyl alcohol, 14.2 mg of stearyl alcohol, 0.8 mg of methyl parahydroxybenzoate, and 0.32 mg of propyl parahydroxybenzoate (Almirall Limited, Harman House, UB8 1QQ, UK).
Armenicum paste (Arpimed CJS, Batch: 0019): Each gram of paste containing iodide anion (J2) – 5.93%, calcium iodide (KJ) – 8.89%, lithium chloride (LiCl) – 0.15%, dextrin (C18H32O16) – 74.13%, polyvinyl alcohol (C2H4O) – 2.23%, sodium chloride (NaCl) – 6.67%, and water – 2%.
To get the 100 g “Eflornithine–Armenicum” composition, add 85 g of Armenicum paste and 15 g of Eflornithine hydrochloride monohydrate (Eflornithine hydrochloride is 13.9 g) to the composition of the container. Stir the mixture at room temperature for 10–15 minutes before using.
The standard used for the Eflornithine hydrochloride monohydrate was the RS USP standard (series R06840). For analytic method validation, the L-ornithine hydrochloride was obtained from Sigma (St. Louis, MO, USA; product A-4571, Batch: 19/L), methanol, high-performance liquid chromatography (HPLC) gradient was obtained from grade Carl Toth GmbH + Co (Art. 7342.1), acetic acid HPLC class was obtained from Carl Roth GmbH (Art. 3738.3), high purity (+99%) acetone was obtained from Carl Roth GmbH (Art. No. 7328.2), and high purity (+99%) dansyl chloride was obtained from Sigma-Aldrich (product –d2625).
1-Heptansulfonic acid sodium salt monohydrate was obtained from Carlo Erba (France Batch No: V8A553138I), distilled water for HPLC (Part No. 5062–8578), Hewlett-Packard, and 0.45-μm nylon filter was obtained from Carl Roth Germany (Carl Roth Germany, Art.7330.1). All chemicals were of analytical grade, and all solvents were of HPLC grade.
A total of 72 non-breed white male rats, bred by the Institute of Fine Organic Chemistry of the National Academy of Science, Yerevan, Armenia, were used in the study. All animals were clinically examined upon arrival and those that showed signs of abnormality or disease were excluded. Animals were kept in the animal house for 10–15 days prior to the commencement of the study under a 12 h/12 h light/dark cycle at 25 to 27°C and 60 to 65% humidity and were offered humidity and were offered standard rat chow ad libitum. Unfit animals were replaced prior to the start of the study, and no animals were replaced after the study began. The initial weights of the study animals were in the range of 160–200 g.
Care of rats and all interventions were performed according to the PHS Guide for the laboratory animals [10] in accordance with requirements of the YSMU Ethics Committee. All experiments were performed during the light phase of the cycle.
A 4 cm2 wound was incised on the inner surface of the hind leg of animals by the model of aerobic wounds created according to Oganesyan S.S. methodology [11]. After this trauma, the musculoskeletal tissues were compressed twice by the Kocher clamp. The preparations were investigated 5–7 minutes after the onset of the injury: Eflornithine paste or “Eflornithine–Armenicum” composition was applied to the entire wound surface of the animals, which covered all the upper wounds.
Development of aerobic wounds in animals and further operations were performed under ether anesthesia. The animals were kept in isolation without bandages after the wound was healed.
The animals were divided into 2 groups given below:
Group I: 36 rats (mean weight 162 ± 39 g) were treated using a single dose of Eflornithine paste at a dose of 460 mg/kg.
Group II: 36 rats (mean weight 167 ± 37 g) were treated using a single dose of “Eflornithine–Armenicum” composition (Eflornithine: 460 mg/kg, Armenicum: 5.1 mg/kg).
At 0, 2.0, 4.0, 8.0, 12.0, and 24.0 h after the application of investigated preparations, six animals from the both group were sacrificed and blood samples taken.
Following decapitation with a laboratory guillotine, blood was collected from each animal in separate heparinized centrifuge tubes that were centrifuged at 600 g for 15 min in order to obtain blood plasma. An aliquot of plasma (1.0 ml) was taken for Eflornithine assay and the remainder of the sample was conserved by closing the centrifuge tube with a cap and storing it in a freezer for 1–3 days prior to further assay. On the day of the assay, plasma was removed from the refrigerator and stored at room temperature for 1 hour.
Racemic Eflornithine was quantified using precolumn derivatization, followed by high-performance liquid chromatography (HPLC) and ultraviolet (UV) detection according to published methods [8, 9], modified as described below. The HPLC system consisted Shimadzu LC/UV/MS instrument (LC-20 AD/T, Shimadzu Corporation, Kyoto, Japan) consisting of an autosampler (LC-20 AD/SIL-20A), a UV-diode array detector (SPD-M20A IVDD), and data acquisition and analysis software (Lab Solutions, Version 3.40.299. Shimadzu) set at 330 nm.
Plasma samples (0.5 ml) were precipitated with ice-cold methanol (3 ml) containing an internal standard (DL-4-amino-3-hydroxybutyric acid) at a concentration of 20 ng/ml. The samples were placed on a vortex mixer for approximately 10 s, centrifuged for 10 min at 12,000 g, and thereafter kept at 37°C for 10 minutes. The supernatants were transferred to new tubes and evaporated to dryness at 65°C under a gentle stream of air. The dried samples were dissolved in 100 μl phosphate buffer (0.1 M; pH 7.5). The derivatization mixture was prepared daily by mixing o-phthalaldehyde (20 mg), ethanol (1 ml), nitriloacetic acid (4 mg), mercaptoethanol (100 μl), and 10 ml phosphate buffer (0.1 M; pH 7.5).
Prior to injection, the samples were mixed by adding two 50-μl volumes of derivatization mixture (i.e., o-phthalaldehyde) to the 48-well-plate autoinjector.
The temperature for the autoinjector was kept constant at 20°C. The plasma samples containing the derivatization mixture were programmed to stand in the autoinjector for 2.00 min prior to injection. Eflornithine was separated on a Chromolith Performance RP-18e 100-mm by 4.6-mm-ID column (VWR International, Darmstadt, Germany) protected by a ChromSep Guard SS 10-mm by 2-mm-ID column (Varian, Palo Alto, CA), using a gradient program. Mobile phase A consisted of 92% phosphate buffer (0.1 M; pH 7.5), 5% methanol, and 3% acetonitrile. Mobile phase B consisted of 80% methanol, 10% acetonitrile, and 10% water. The flow rate was set to 2 ml/min, using the following gradient program: t = 0 to 6.75 min, linear decrease of A from 80–40%; t = 6.75 to 8.0 min, 40% A; and t = 8.0 to 10.0 min, linear increase of A from 40–80%. The typical retention times for the internal standard and Eflornithine were 5.5 ± 0.3 min and 7.3 ± 0.2 min, respectively.
Calibration curves, constructed using Eflornithine standards, were linear in the range 1.00–10.0 ng/ml with correlation coefficients (r) of 0.9991, for the target signals at 330 nm. The limit of detection (at a signal/noise ratio of 3) was 0.80 ng/ml and the lower limit of quantification (LLOQ) was 1.5 ng/ml. The LLOQ for racemic Eflornithine was set to 1.5 ng/ml at which level precision and accuracy were < 12%. The experimental plasma samples for method validation were prepared at three concentrations (1.5, 3, and 6 ng/ml) and were analyzed in duplicate at each level during the analytical runs to ensure that experimental samples were accurately and precisely determined. Validation experiments demonstrated that the accuracy was 96.9 ± 3.5%, the precision (coefficient of variation) 3.6%, and the recovery 93.94 ± 2.9%.
The pharmacokinetic parameters were calculated using Kinetica 4.4.1 software (Thermo Electron Corporation, 2004, USA).
The measured parameters were as follows:
maximum plasma concentration (Cmax, ng/ml);
elimination rate constant (kel, h−1);
elimination half-life (t1/2, h);
area under concentration versus time curve extrapolated to infinity (AUC0-∞, hng/ml); absorption rate constant (ka, h−1);
the time to Cmax (tmax, h).
Statistical analyses were performed using GraphPad PRISM software (version 2.0, 1996; GraphPad Software, San Diego, USA). The statistical significance of differences between the pharmacokinetics profiles of Eflornithine released from Eflornithine cream and “Eflornithine–Armenicum” composition over time were assessed using two-way between/within ANOVA wherein an interaction effect indicates a different response over time between the two dosage forms.
The pharmacokinetic profiles of Eflornithine determined in control rats (Group I) and in those (Group II) that had been treated with “Eflornithine -Armenicum” composition are shown in Figure 1.
Mean plasma profiles of Eflornithine following topical application of Eflornithine cream (group I) formulation of HCl and “Eflornithine–Armenicum” composition (group II) (n = 6, mean ± SD).
Maximum plasma concentrations of Eflornithine (Cmax) averaged 5.193 ± 0.74 ng/ml after Eflornithine cream application in Group I and decreased following “Eflornithine–Armenicum” composition 3.716 ± 1.198 ng/ml.
A comparison of the two pharmacokinetic profiles of Eflornithine indicates that the concentration of Eflornithine in the blood plasma of animals treated with Eflornithine cream was slightly higher than in that of the “Eflornithine–Armenicum” composition group during the 2–24 h following application and attained its maximum value (Cmax) at 2.00 h.
For Group II treated with “Eflornithine–Armenicum” composition, the observed average time to reach maximum concentration in blood plasma (tmax) was slightly lower (3.33 ± 0.74 h), but the difference between the mean values was not statistically significant (Table 1).
Pharmacokinetics Parameters | Eflornithine HCI cream | “Eflornithine–Armenicum” composition | р |
---|---|---|---|
Cmax(ng/ml) | 5.362 ± 0.53 | 3.822 ± 0.42 | 0.005*** |
tmax, (h) | 2.00 ± 0.00 | 3.333 ± 0.74 | 0.363ns |
Ka(h−1) | 4.595 ± 0.53 | 3.244 ± 0.54 | 0.0011** |
AUC0-∞ (hng/ml) | 76.872 ± 4.72 | 57.913 ± 3.57 | 0.0001*** |
t ½(h) | 11.588 ± 0.96 | 11.761 ± 0.95 | 0.8131ns |
Pharmacokinetic parameter estimates for eflornithine in the rat after application of eflornithine HCI cream and “Eflornithine–Armenicum” composition.
After reaching the maximum, the pharmacokinetic profile of the Eflornithine concentration in plasma is almost the same in both groups (Table 2 and Figure 1).
Time, h | Eflornithine cream, (Eflornithine HCl 460 mg/kg) | “Eflornithine–Armenicum” composition, (Eflornithine HCl 460 mg/kg) |
---|---|---|
0 | 0 | 0 |
2 | 5.193 ± 0.74 | 3.716 ± 1.198 |
4 | 4.620 ± 0.40 | 3.160 ± 0.60 |
8 | 4.341 ± 0.21 | 2.973 ± 0.597 |
12 | 3.307 ± 0.18 | 2.27 ± 0.299 |
24 | 1.625 ± 0.30 | 1.146 ± 0.37 |
Mean plasma profiles of Eflornithine following topical application of Eflornithine cream and formulation of Eflornithine HCl and “Eflornithine–Armenicum” composition (n = 6, mean ± SD).
The values for the average elimination half-life (t1/2) and of Eflornithine were very similar for both groups: (11.600 ± 0.961 h and 11.761 ± 0.956 h for groups I and group II, respectively), and the difference between the mean values was not statistically significant (Table 1).
Notable differences were found; however, in the absorption rate constant (ka) of Eflornithine, which was higher in the Eflornithine cream-treated group and averaged 4.595 ± 0,53 h−1 following Eflornithine cream application against 3.244 ± 0,54 h−1 for “Eflornithine–Armenicum” composition treated group and the difference between the mean values was statistically significant (Table 1).
The areas under the concentration-time curve AUC0-∞ were also different between the control group and the group treated with “Eflornithine–Armenicum” composition. The difference between the mean values was statistically significant (Table 1).
The results showed that when Eflornithine was used concomitantly with Armenicum and the maximum plasma concentrations of Eflornithine were approximately 30% lower than those of Eflornithine cream. The total amount of Eflornithine in blood plasma (AUC0-∞) also decreased by 23%. This indicates that Eflornithine enters the bloodstream from the application site significantly more slowly and to a lesser extent when used in combination with Armenicum.
Thus, it is possible that Eflornithine can remain on the surface of the site of application for a longer time, which probably contributes to the longer manifestation of its local anti-inflammatory effect.
If the theoretical data obtained are correct, then in practice, we can calculate the relative bioavailability of Eflornithine using the method of Ritschel and Kearns (1998), after its co-administration with Armenicum [12, 13].
According to generally accepted pharmacokinetic approaches, if two dosage forms contain the same substance in the same dosage and are used in combination with another substance, it is possible to assess its relative bioavailability by setting the bioavailability of the first dosage form at 100%, if this ingredient has been used alone, and has the same dosage in the investigated pharmaceutical form [12, 13].
The percent of relative bioavailability of Eflornithine was calculated as a ratio of Eflornithine’s AUC0-∞ after applying “Eflornithine–Armenicum” and AUC0-∞ of Eflornithine after applying Eflornithine cream.
The results of the calculation showed that the relative bioavailability of Eflornithine after application of “Eflornithine–Armenicum” composition is 77.4 ± 6.04% of the bioavailability obtained following the application of Eflornithine cream alone.
Given the fact that the elimination rate of the drug after reaching the maximum concentration in blood is practically the same, it can be assumed that decreased relative bioavailability of Eflornithine is probably associated primarily with its lower and slower absorption of Eflornithine to the systemic circulation from the application site, following the application of “Eflornithine–Armenicum” composition [14].
As known from the literature data, in particular, the percutaneous absorption of Eflornithine remains low (less than 1% of the dose, based on excretion of radioactivity in urine and feces) after single and multiple doses applied under conditions of clinical use. The obtained data are largely similar to those obtained by Malhotra B. and coauthors [7], who confirmed that the average transdermal absorption of Eflornithine to blood plasma after Eflornithine cream application is approximately 1–2% of the radioactive dose. The authors concluded that the percutaneous absorption may correspond to a zero-order kinetic absorption.
The latter presupposition allows concluding that Eflornithine is probably absorbed into the bloodstream after percutaneous application by nonlinear absorption kinetics, which is in line with the previous conclusion by several authors [15, 16, 17, 18].
The data do not exclude the possibility that the transfer of Eflornithine from the application surface to the general bloodstream occurs through active carriers. The kinetics of this process was very different from ordinary passive transport.
A system that performs such special transport of compounds through biomembranes (involving carriers) usually has a limited capacity [14, 19, 20, 21].
It can be assumed that when the “Eflornithine–Armenicum” composition was used, two biologically active substances of Armenicum, iodide-dextrin and eflornithine, can compete with each other for space on the carrier since it has previously been shown that the iodide anion can also be transported through biomembranes using carriers [1, 4, 5].
Consequently, as the density of the Eflornithine–iodine–dextrin complex increases at the surface of application, their penetration rate into the bloodstream reaches a constant value at some point from the site of application, leading to a slow absorption process. Thus, it can be assumed that the combined use of Eflornithine and Armenicum in the form of a composition allows for maintaining the optimal concentration of two anti-inflammatory compounds at the site of application for a long time, which can improve their pharmacological effect compared to the separate use of Eflornithine cream.
Eflornithine concentrations were measurable at 24 h, with peak concentrations in plasma of 5.3 ng/ml after cream and 3.8 ng/ml after composition application (p < 0.001). After combined use of Eflornithine and Armenicum, the average time to reach the maximum concentration of Eflornithine is observed, which increased from 2 h to 3.3 h. The area under the Eflornithine plasma concentration versus time curve was decreased after composition application by 25%. Eflornithine was eliminated from plasma with a mean terminal half-life of 11.6 hours without statistically significant difference after cream and composition application.
Thus, it can be assumed that the combined use of Eflornithine and Armenicum in the form of a composition allows for maintaining the optimal concentration of two anti-inflammatory compounds at the site of application for a long time, which can improve their pharmacological effect compared to the separate use of Eflornithine cream.
The authors declare no conflict of interest.
Ove Odredbe i uvjeti ističu pravila i regulacije u svezi korištenja IntechOpenove stranice www.intechopen.com i svih poddomena u vlasništvu IntechOpena, tvrtke sa sjedištem u 5 Princes Gate Court, London, SW7 2QJ, Ujedinjeno Kraljevstvo.
',metaTitle:"Odredbe i uvjeti",metaDescription:"Ove Odredbe i uvjeti ističu pravila i regulacije u svezi korištenja IntechOpenove stranice www.intechopen.com i svih poddomena u vlasništvu IntechOpena, tvrtke sa sjedištem u 5 Princes Gate Court, London, SW7 2QJ, Ujedinjeno Kraljevstvo.",metaKeywords:null,canonicalURL:"/page/cro-terms-and-conditions",contentRaw:'[{"type":"htmlEditorComponent","content":"Pristupom na stranicu www.intechopen.com slažete se s ovim odredbama, sa svim primjenjivim zakonskim odredbama, te se slažete s poštovanjem svih lokalnih zakona. Korištenje i/ili pristup ovoj stranici temelji se na potpunom prihvaćanju ovih odredbi. Svi materijali na ovoj stranici zaštićeni su primjenjivim zakonima o autorskim pravima i žigu.
\\n\\nSljedeća terminologija odnosi se na Odredbe i uvjete, te na sve naše ugovore:
\\n\\nKlijent, stranka, vi, vaš odnosi se na vas, osobu koja pristupa ovoj stranici i prihvaća IntechOpenove Odredbe i uvjete;
\\n\\nKompanija, tvrtka, mi, naše odnosi se na tvrtku IntechOpen;
\\n\\nStranke, strane odnosi se na klijenta i na nas, ili samo na klijenta ili nas.
\\n\\nSve odredbe koje se odnose na ponudu, prihvat ili razmatranje plaćanja, a za koja mi pružamo asistenciju klijentu, bilo na ugovoreni ili fiksni način, a s ciljem da se ostvare potrebe i želje klijenta u svezi s našim uslugama, su podložne zakonskim odredbama Ujedinjenog Kraljevstva.
\\n\\nOsim ako nije suprotno navedeno, IntechOpen i/ili svi davatelji licence vlasnici su intelektualnog vlasništva nad svim materijalima na www.intechopen.com. Sva prava intelektualnog vlasništva su pridržana. Stranice sa www.intechopen.com možete gledati, preuzimati, dijeliti, dijeliti poveznice i printati za osobnu uporabu, a temeljem pravila sadržanih u ovim Odredbama i uvjetima.
\\n\\nMi koristimo kolačiće. Korištenjem IntechOpenove stranice slažete se s korištenjem kolačića u skladu s IntechOpenovom Politikom privatnosti. Većina modernih, interaktivnih stranica koristi kolačiće kako bi omogućila ponovno pronalaženje korisničkih detalja kod svakog posjeta. Na našoj stranici kolačići se uglavnom koriste kako bi omogućili funkcionalnost i olakšali posjetiteljima korištenje stranice.
\\n\\nIntechOpen ili njegovi suradnici niti u jednom slučaju neće biti odgovorni za štete (štete uključuju gubitak podataka ili profita, druge poslovne prekide, te sve ostale štete) koje nastanu zbog korištenja materijala na IntechOpenovoj stranici ili nemogućnosti da se iste koriste, čak i ako je IntechOpen ili njegov predstavnik o takvoj šteti obaviješten pismenim ili usmenim putem. Neke jurisdikcije ne dozvoljavaju ograničenja garancija ili ograničenja obveza za posljedične ili slučajne štete pa se u tom slučaju ova ograničenja možda ne odnose na vas.
\\n\\nMaterijali koji se pojavljuju na IntechOpenovoj stranici mogu sadržavati manje greške, tipfelere ili fotografske greške. IntechOpen može napraviti promjene na bilo kojem materijalu koji se nalazi na stranici u bilo koje vrijeme.
\\n\\nIntechOpen nije formalno povezan niti s jednom vanjskom stranicom čije poveznice vode na www.intechopen.com, osim ako to nije izravno navedeno. Iz tog razloga IntechOpen nije odgovoran za sadržaj koji se pojavljuje na takvim stranicama. Poveznica na IntechOpenovu stranicu ne implicira povezanost sa IntechOpenom. Korištenje takvih poveznica isključiva je odgovornost korisnika.
\\n\\nZadržavamo pravo vlasništva nad cjelokupnom stranicom www.intechopen.com i nad svim materijalom na toj stranici. Koristeći se našim uslugama, slažete se da maknete sve poveznice na našu stranicu odmah nakon što to od vas zatražimo. Također, zadržavamo pravo da ove Odredbe i uvjete, i politiku o poveznicama izmjenimo u bilo koje vrijeme. Koristeći se poveznicama na naše stranice slažete se s ovim Odredbama i uvjetima.
\\n\\nAko smatrate da je bilo koja poveznica na našoj stranici sumnjiva iz bilo kojeg razloga, molimo vas da nas kontaktirate. U tom slučaju razmotrit ćemo micanje poveznice s naše stranice, iako nismo obvezni to napraviti.
\\n\\nBez prethodne privole i izričite pisane dozvole, ne možete stvarati okvire oko naših stranica ili koristiti druge tehnike koje na bilo koji način mogu promijeniti prezentaciju ili izgled naše stranice.
\\n\\nIntechOpen može ove Odredbe izmijeniti u bilo koje vrijeme i bez prethodne obavijesti. Koristeći ovu stranicu vi se slažete s trenutnim Odredbama i uvjetima koje su na snazi.
\\n\\nOve Odredbe i uvjeti su sastavljeni u skladu s odredbama prava Ujedinjenog Kraljevstva, a za sve sporove nadležan je sud u Londonu, Ujedinjeno Kraljevstvo.
\\n"}]'},components:[{type:"htmlEditorComponent",content:"Pristupom na stranicu www.intechopen.com slažete se s ovim odredbama, sa svim primjenjivim zakonskim odredbama, te se slažete s poštovanjem svih lokalnih zakona. Korištenje i/ili pristup ovoj stranici temelji se na potpunom prihvaćanju ovih odredbi. Svi materijali na ovoj stranici zaštićeni su primjenjivim zakonima o autorskim pravima i žigu.
\n\nSljedeća terminologija odnosi se na Odredbe i uvjete, te na sve naše ugovore:
\n\nKlijent, stranka, vi, vaš odnosi se na vas, osobu koja pristupa ovoj stranici i prihvaća IntechOpenove Odredbe i uvjete;
\n\nKompanija, tvrtka, mi, naše odnosi se na tvrtku IntechOpen;
\n\nStranke, strane odnosi se na klijenta i na nas, ili samo na klijenta ili nas.
\n\nSve odredbe koje se odnose na ponudu, prihvat ili razmatranje plaćanja, a za koja mi pružamo asistenciju klijentu, bilo na ugovoreni ili fiksni način, a s ciljem da se ostvare potrebe i želje klijenta u svezi s našim uslugama, su podložne zakonskim odredbama Ujedinjenog Kraljevstva.
\n\nOsim ako nije suprotno navedeno, IntechOpen i/ili svi davatelji licence vlasnici su intelektualnog vlasništva nad svim materijalima na www.intechopen.com. Sva prava intelektualnog vlasništva su pridržana. Stranice sa www.intechopen.com možete gledati, preuzimati, dijeliti, dijeliti poveznice i printati za osobnu uporabu, a temeljem pravila sadržanih u ovim Odredbama i uvjetima.
\n\nMi koristimo kolačiće. Korištenjem IntechOpenove stranice slažete se s korištenjem kolačića u skladu s IntechOpenovom Politikom privatnosti. Većina modernih, interaktivnih stranica koristi kolačiće kako bi omogućila ponovno pronalaženje korisničkih detalja kod svakog posjeta. Na našoj stranici kolačići se uglavnom koriste kako bi omogućili funkcionalnost i olakšali posjetiteljima korištenje stranice.
\n\nIntechOpen ili njegovi suradnici niti u jednom slučaju neće biti odgovorni za štete (štete uključuju gubitak podataka ili profita, druge poslovne prekide, te sve ostale štete) koje nastanu zbog korištenja materijala na IntechOpenovoj stranici ili nemogućnosti da se iste koriste, čak i ako je IntechOpen ili njegov predstavnik o takvoj šteti obaviješten pismenim ili usmenim putem. Neke jurisdikcije ne dozvoljavaju ograničenja garancija ili ograničenja obveza za posljedične ili slučajne štete pa se u tom slučaju ova ograničenja možda ne odnose na vas.
\n\nMaterijali koji se pojavljuju na IntechOpenovoj stranici mogu sadržavati manje greške, tipfelere ili fotografske greške. IntechOpen može napraviti promjene na bilo kojem materijalu koji se nalazi na stranici u bilo koje vrijeme.
\n\nIntechOpen nije formalno povezan niti s jednom vanjskom stranicom čije poveznice vode na www.intechopen.com, osim ako to nije izravno navedeno. Iz tog razloga IntechOpen nije odgovoran za sadržaj koji se pojavljuje na takvim stranicama. Poveznica na IntechOpenovu stranicu ne implicira povezanost sa IntechOpenom. Korištenje takvih poveznica isključiva je odgovornost korisnika.
\n\nZadržavamo pravo vlasništva nad cjelokupnom stranicom www.intechopen.com i nad svim materijalom na toj stranici. Koristeći se našim uslugama, slažete se da maknete sve poveznice na našu stranicu odmah nakon što to od vas zatražimo. Također, zadržavamo pravo da ove Odredbe i uvjete, i politiku o poveznicama izmjenimo u bilo koje vrijeme. Koristeći se poveznicama na naše stranice slažete se s ovim Odredbama i uvjetima.
\n\nAko smatrate da je bilo koja poveznica na našoj stranici sumnjiva iz bilo kojeg razloga, molimo vas da nas kontaktirate. U tom slučaju razmotrit ćemo micanje poveznice s naše stranice, iako nismo obvezni to napraviti.
\n\nBez prethodne privole i izričite pisane dozvole, ne možete stvarati okvire oko naših stranica ili koristiti druge tehnike koje na bilo koji način mogu promijeniti prezentaciju ili izgled naše stranice.
\n\nIntechOpen može ove Odredbe izmijeniti u bilo koje vrijeme i bez prethodne obavijesti. Koristeći ovu stranicu vi se slažete s trenutnim Odredbama i uvjetima koje su na snazi.
\n\nOve Odredbe i uvjeti su sastavljeni u skladu s odredbama prava Ujedinjenog Kraljevstva, a za sve sporove nadležan je sud u Londonu, Ujedinjeno Kraljevstvo.
\n"}]},successStories:{items:[]},authorsAndEditors:{filterParams:{},profiles:[{id:"396",title:"Dr.",name:"Vedran",middleName:null,surname:"Kordic",slug:"vedran-kordic",fullName:"Vedran Kordic",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/396/images/7281_n.png",biography:"After obtaining his Master's degree in Mechanical Engineering he continued his education at the Vienna University of Technology where he obtained his PhD degree in 2004. He worked as a researcher at the Automation and Control Institute, Faculty of Electrical Engineering, Vienna University of Technology until 2008. His studies in robotics lead him not only to a PhD degree but also inspired him to co-found and build the International Journal of Advanced Robotic Systems - world's first Open Access journal in the field of robotics.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"441",title:"Ph.D.",name:"Jaekyu",middleName:null,surname:"Park",slug:"jaekyu-park",fullName:"Jaekyu Park",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/441/images/1881_n.jpg",biography:null,institutionString:null,institution:{name:"LG Corporation (South Korea)",country:{name:"Korea, South"}}},{id:"465",title:"Dr.",name:"Christian",middleName:null,surname:"Martens",slug:"christian-martens",fullName:"Christian Martens",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Rheinmetall (Germany)",country:{name:"Germany"}}},{id:"479",title:"Dr.",name:"Valentina",middleName:null,surname:"Colla",slug:"valentina-colla",fullName:"Valentina Colla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/479/images/358_n.jpg",biography:null,institutionString:null,institution:{name:"Sant'Anna School of Advanced Studies",country:{name:"Italy"}}},{id:"494",title:"PhD",name:"Loris",middleName:null,surname:"Nanni",slug:"loris-nanni",fullName:"Loris Nanni",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/494/images/system/494.jpg",biography:"Loris Nanni received his Master Degree cum laude on June-2002 from the University of Bologna, and the April 26th 2006 he received his Ph.D. in Computer Engineering at DEIS, University of Bologna. On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. His current research interests are in the fields of intelligent control and robotics.",institutionString:null,institution:{name:"Technical University of Sofia",country:{name:"Bulgaria"}}},{id:"585",title:"Prof.",name:"Munir",middleName:null,surname:"Merdan",slug:"munir-merdan",fullName:"Munir Merdan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/585/images/system/585.jpg",biography:"Munir Merdan received the M.Sc. degree in mechanical engineering from the Technical University of Sarajevo, Bosnia and Herzegovina, in 2001, and the Ph.D. degree in electrical engineering from the Vienna University of Technology, Vienna, Austria, in 2009.Since 2005, he has been at the Automation and Control Institute, Vienna University of Technology, where he is currently a Senior Researcher. His research interests include the application of agent technology for achieving agile control in the manufacturing environment.",institutionString:null,institution:null},{id:"605",title:"Prof",name:"Dil",middleName:null,surname:"Hussain",slug:"dil-hussain",fullName:"Dil Hussain",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/605/images/system/605.jpg",biography:"Dr. Dil Muhammad Akbar Hussain is a professor of Electronics Engineering & Computer Science at the Department of Energy Technology, Aalborg University Denmark. Professor Akbar has a Master degree in Digital Electronics from Govt. College University, Lahore Pakistan and a P-hD degree in Control Engineering from the School of Engineering and Applied Sciences, University of Sussex United Kingdom. Aalborg University has Two Satellite Campuses, one in Copenhagen (Aalborg University Copenhagen) and the other in Esbjerg (Aalborg University Esbjerg).\n· He is a member of prestigious IEEE (Institute of Electrical and Electronics Engineers), and IAENG (International Association of Engineers) organizations. \n· He is the chief Editor of the Journal of Software Engineering.\n· He is the member of the Editorial Board of International Journal of Computer Science and Software Technology (IJCSST) and International Journal of Computer Engineering and Information Technology. \n· He is also the Editor of Communication in Computer and Information Science CCIS-20 by Springer.\n· Reviewer For Many Conferences\nHe is the lead person in making collaboration agreements between Aalborg University and many universities of Pakistan, for which the MOU’s (Memorandum of Understanding) have been signed.\nProfessor Akbar is working in Academia since 1990, he started his career as a Lab demonstrator/TA at the University of Sussex. After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. He has contributed in stochastic estimation of control area especially, in the Multiple Target Tracking and Interactive Multiple Model (IMM) research, Ball & Beam Control Problem, Robotics, Levitation Control. He has contributed in developing Algorithms for Fingerprint Matching, Computer Vision and Face Recognition. He has been supervising Pattern Recognition, Formal Languages and Distributed Processing projects for several years. He has reviewed many books on Management, Computer Science. Currently, he is an active and permanent reviewer for many international conferences and symposia and the program committee member for many international conferences.\nIn teaching he has taught the core computer science subjects like, Digital Design, Real Time Embedded System Programming, Operating Systems, Software Engineering, Data Structures, Databases, Compiler Construction. In the Engineering side, Digital Signal Processing, Computer Architecture, Electronics Devices, Digital Filtering and Engineering Management.\nApart from his Academic Interest and activities he loves sport especially, Cricket, Football, Snooker and Squash. He plays cricket for Esbjerg city in the second division team as an opener wicket keeper batsman. 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Research evidence shows that children who are healthy are at a low risk for school problems than students who are unhealthy. Students with good health tend to perform better in school than those with poor health. Problems that emanate from poor health include a higher probability of school failure, poor levels of concentration, grade retention and dropout. However, health is a complex and elusive concept and its definition is often shrouded by assumptions and limitations. Therefore, the relationship between health and student achievement is often complex. The concept of health has been evolving over time, cutting across multiple disciplines. Of late, there has been a focus on achieving not only health but total well-being. Schools have been challenged to promote student health by providing favourable environments, policies, support services and information-based interventions. Schools should develop integrated health interventions because of their proven effectiveness in promoting healthy lifestyles among students. This chapter critically examines the concept of health and establishes the connection between health and achievement. The chapter also proposes health interventions that are effective in influencing academic achievement.",book:{id:"6225",slug:"health-and-academic-achievement",title:"Health and Academic Achievement",fullTitle:"Health and Academic Achievement"},signatures:"Thomas Matingwina",authors:[{id:"227293",title:"Ph.D.",name:"Thomas",middleName:null,surname:"Matingwina",slug:"thomas-matingwina",fullName:"Thomas Matingwina"}]},{id:"62703",doi:"10.5772/intechopen.73580",title:"The Role of Resilience and Psychological Well-Being in School Engagement and Perceived Academic Performance: An Exploratory Model to Improve Academic Achievement",slug:"the-role-of-resilience-and-psychological-well-being-in-school-engagement-and-perceived-academic-perf",totalDownloads:1948,totalCrossrefCites:8,totalDimensionsCites:10,abstract:"The aim of the present study is to examine the relationship between resilience, subjective well-being and academic achievement (i.e., school engagement and perceived performance). To achieve this, a battery of instruments was applied to 945 Compulsory Secondary Education students from Basque Country (425 boys and 520 girls) of medium socio-cultural level and aged between 12 and 17 (Mage = 14.50, SD = 1.82). The study tests a structural model for analyzing the effects of resilience and subjective well-being on school engagement and perceived performance. The findings provide evidence in favor of the influence of resilience and subjective well-being as decisive psychological variables in the prediction of school engagement and perceived performance. Finally, the results of this study highlight the need to foster education of resilience and subjective well-being to improve academic achievement among adolescent students.",book:{id:"6225",slug:"health-and-academic-achievement",title:"Health and Academic Achievement",fullTitle:"Health and Academic Achievement"},signatures:"Arantzazu Rodríguez-Fernández, Estibaliz Ramos-Díaz and Inge\nAxpe-Saez",authors:[{id:"90485",title:"Dr.",name:"Arantzazu",middleName:null,surname:"Rodriguez-Fernández",slug:"arantzazu-rodriguez-fernandez",fullName:"Arantzazu Rodriguez-Fernández"},{id:"205183",title:"Dr.",name:"Estibaliz",middleName:null,surname:"Ramos-Díaz",slug:"estibaliz-ramos-diaz",fullName:"Estibaliz Ramos-Díaz"},{id:"223442",title:"Prof.",name:"Inge",middleName:null,surname:"Axpe-Saez",slug:"inge-axpe-saez",fullName:"Inge Axpe-Saez"}]},{id:"58183",doi:"10.5772/intechopen.71842",title:"Influence of Drugs on Cognitive Functions",slug:"influence-of-drugs-on-cognitive-functions",totalDownloads:2238,totalCrossrefCites:6,totalDimensionsCites:8,abstract:"Disorders related to the misuse of certain drugs represent not only a worldwide public health problem, but also an economic and social issue. Adolescents and children represent the most vulnerable population for drug consumption and addiction. At this early stage in life, a crucial phase of the neurodevelopmental process, substance abuse can induce brain plasticity mechanisms that may produce long-lasting changes in neural circuitry and ultimately behavior. One of the consequences of these changes is the impairment of cognitive functions, with academic negative impact in the acquisition of new knowledge. In this chapter, we will describe the effects of illicit substances of abuse, both stimulants and depressants as well as prescription drug misuse and its influence of on learning and memory processes. Recent evidence on the new so-called smart drugs is also discussed.",book:{id:"6225",slug:"health-and-academic-achievement",title:"Health and Academic Achievement",fullTitle:"Health and Academic Achievement"},signatures:"Claudia Juárez-Portilla, Tania Molina-Jiménez, Jean-Pascal Morin,\nGabriel Roldán-Roldán and Rossana Citlali Zepeda",authors:[{id:"219266",title:"Dr.",name:"Rossana C",middleName:null,surname:"Zepeda",slug:"rossana-c-zepeda",fullName:"Rossana C Zepeda"},{id:"219492",title:"Dr.",name:"Claudia",middleName:null,surname:"Juárez-Portilla",slug:"claudia-juarez-portilla",fullName:"Claudia Juárez-Portilla"},{id:"219493",title:"Dr.",name:"Tania",middleName:null,surname:"Molina-Jiménez",slug:"tania-molina-jimenez",fullName:"Tania Molina-Jiménez"},{id:"219494",title:"Dr.",name:"Gabriel",middleName:null,surname:"Roldán-Roldán",slug:"gabriel-roldan-roldan",fullName:"Gabriel Roldán-Roldán"},{id:"220789",title:"Dr.",name:"Jean-Pascal",middleName:null,surname:"Morin",slug:"jean-pascal-morin",fullName:"Jean-Pascal Morin"}]},{id:"63876",doi:"10.5772/intechopen.79938",title:"The Importance of Mindfulness in the Achievement of Optimal Functioning: Conceptualization for Research Development",slug:"the-importance-of-mindfulness-in-the-achievement-of-optimal-functioning-conceptualization-for-resear",totalDownloads:1021,totalCrossrefCites:0,totalDimensionsCites:7,abstract:"The concept of ‘optimal functioning’ has emerged as a major line of research development in educational psychology. Optimal functioning, which reflects the paradigm of positive psychology, is concerned with a person’s achievement of maximization in his/her functioning, whether it is mental, cognitive, emotional, or social. This inquiry places strong emphasis on importance of flourishing, happiness, and the proactivity of human endeavors. An important question then for consideration, from this testament, is how researchers optimize the achievement of optimal functioning. We have recently made progress by focusing on empirical research development and methodological conceptualizations into the study of optimization. Our conceptualizations, collectively, contend that there are psychological, educational, and psychosocial variables that operate as sources of ‘energization’, which then stimulate the buoyancy of motivation, personal resolve, effective functioning, strength, and effort expenditure. Energization, in its totality, from our postulation, may then arouse, intensify, and sustain a person’s internal state of functioning. Our cross-institutional, cross-cultural research collaboration (e.g., Australia, Malaysia, and Taiwan), to date, has considered one notably construct that could serve as a source of internal energization for the achievement of functioning: mindfulness. We strongly believe that the totality of mindfulness, positive in nature, could play a central role in the psychological processes of human agency.",book:{id:"7698",slug:"educational-psychology-between-certitudes-and-uncertainties",title:"Educational Psychology",fullTitle:"Educational Psychology - Between Certitudes and Uncertainties"},signatures:"Huy P. Phan, Hui-Wen Wang, Jen-Hwa Shih, Sheng-Ying Shi, Ruey-Yih Lin and Bing H. Ngu",authors:null},{id:"59046",doi:"10.5772/intechopen.72566",title:"Stress and Cognition: Psychological Basis and Support Resources",slug:"stress-and-cognition-psychological-basis-and-support-resources",totalDownloads:1679,totalCrossrefCites:4,totalDimensionsCites:6,abstract:"Executive functions are processes that help in tasks such as reasoning, planning, troubleshooting, and management of the individual’s own life. A consequence of the specific connections of stress is that executive functions tend to be interrupted when the stimulation load is so big that the individual becomes stressed. The level of cellular stress becomes evident with the increase of cortisol. Cellular processes such as inflammation, proliferation/death, and oxidative stress have been shown in murine models resembling cognitive impairment in humans. This impairment translates into behavioral changes, loss of memory, inability for decision-making, and attention problems. The incorporation of factors, such as drug use and bullying, promotes the impairment of executive functions. Resorting to strategies, such as exercising, environmental enrichment, and changes in the diet, constitutes an excellent aid in the promotion of academic achievement. In this chapter, we discuss the impact of stress on cognitive executive functions associated with academic achievement and also suggest strategies to reduce the impact of stressing factors.",book:{id:"6225",slug:"health-and-academic-achievement",title:"Health and Academic Achievement",fullTitle:"Health and Academic Achievement"},signatures:"Tamara Cibrian-Llanderal, Montserrat Melgarejo-Gutierrez and\nDaniel Hernandez-Baltazar",authors:[{id:"209886",title:"Dr.",name:"Tamara",middleName:null,surname:"Cibrian-Llanderal",slug:"tamara-cibrian-llanderal",fullName:"Tamara Cibrian-Llanderal"},{id:"210172",title:"Dr.",name:"Montserrat",middleName:null,surname:"Melgarejo-Gutierrez",slug:"montserrat-melgarejo-gutierrez",fullName:"Montserrat Melgarejo-Gutierrez"},{id:"210173",title:"Dr.",name:"Daniel",middleName:null,surname:"Hernandez-Baltazar",slug:"daniel-hernandez-baltazar",fullName:"Daniel Hernandez-Baltazar"}]}],mostDownloadedChaptersLast30Days:[{id:"70837",title:"Identifying and Remediating Dyslexia in Kindergarten and the Foundation Year",slug:"identifying-and-remediating-dyslexia-in-kindergarten-and-the-foundation-year",totalDownloads:947,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Dyslexia is a learning disability found across the ability range. It is an unexpected failure to learn to read and spell despite conventional classroom instruction. It is usually identified at about 7 years of age or beyond when the dyslexic fails to learn to read. The incidence varies in different countries in different languages and with teaching methods. This research presents a new method for the identification of dyslexia by the Reception or Kindergarten teacher as part of everyday teaching. The method uses a child’s freeform writing and a checklist that identifies a critical borderline point that must be reached if the child is to become literate. In order to overcome any difficulty, a specific intervention was identified and a training technique was introduced in a Reception Year cohort (N = 175 children). It was based upon previous research that found dyslexia was caused by a unique deficit that prevented them from developing early phonological awareness in the normal course of learning. The intervention strategy also enabled disadvantaged learners to catch up with more advantaged peers and close the 11-month learning gap found in the national statistics. Their Key stage 1 school SATs showed 30% uplift 3 years later.",book:{id:"9451",slug:"learning-disabilities-neurological-bases-clinical-features-and-strategies-of-intervention",title:"Learning Disabilities",fullTitle:"Learning Disabilities - Neurological Bases, Clinical Features and Strategies of Intervention"},signatures:"Diane Montgomery",authors:[{id:"85131",title:"Prof.",name:"Diane",middleName:null,surname:"Montgomery",slug:"diane-montgomery",fullName:"Diane Montgomery"}]},{id:"58763",title:"Stress in Nursing University Students and Mental Health",slug:"stress-in-nursing-university-students-and-mental-health",totalDownloads:2499,totalCrossrefCites:1,totalDimensionsCites:3,abstract:"Stress is a physiological response that impacts the cognitive, emotional, behavioral, and social components. It also involves the adaptation of the organism, the coping resources, and the environment. In young people, stress can be triggered by social interactions or school requirements. This chapter is a narrative review analyzing scientific bibliography from the main databases (NIH, Scielo, Redalyc) that explored the main stressors and their effects on nursing students. These stressors include the care of patients, assignments and workloads, academic evaluations, and negative or hostile social interactions. Data include the deleterious effects of stress in nursing students as anxiety, depression, inhibiting learning, and burnout, which negatively impact their academic development and health. Finally, some interventions to reduce the impact of stress are discussed. Conclusion: Stress responses in nursing students vary in duration and intensity during their academic training; final effects depend on the coping mechanisms, individual resources, and hospital environment. The effects of stress on nursing students impact on academic performance but could also trigger several psychiatric disorders as depression or anxiety, as well as other associated problems such as sleep disorders, alcohol, and psychoactive drug consumption, which in the short and long term may affect the patient care.",book:{id:"6225",slug:"health-and-academic-achievement",title:"Health and Academic Achievement",fullTitle:"Health and Academic Achievement"},signatures:"Frank Pulido-Criollo, Jonathan Cueto-Escobedo and Gabriel Guillén-\nRuiz",authors:[{id:"175891",title:"MSc.",name:"Frank",middleName:null,surname:"Pulido-Criollo",slug:"frank-pulido-criollo",fullName:"Frank Pulido-Criollo"},{id:"199455",title:"Dr.",name:"Jonathan",middleName:null,surname:"Cueto-Escobedo",slug:"jonathan-cueto-escobedo",fullName:"Jonathan Cueto-Escobedo"},{id:"218681",title:"Dr.",name:"Gabriel",middleName:null,surname:"Guillén-Ruiz",slug:"gabriel-guillen-ruiz",fullName:"Gabriel Guillén-Ruiz"}]},{id:"62994",title:"Health, Academic Achievement and School-Based Interventions",slug:"health-academic-achievement-and-school-based-interventions",totalDownloads:2557,totalCrossrefCites:6,totalDimensionsCites:11,abstract:"There is a statistically significant relationship between health and academic achievement. Research evidence shows that children who are healthy are at a low risk for school problems than students who are unhealthy. Students with good health tend to perform better in school than those with poor health. Problems that emanate from poor health include a higher probability of school failure, poor levels of concentration, grade retention and dropout. However, health is a complex and elusive concept and its definition is often shrouded by assumptions and limitations. Therefore, the relationship between health and student achievement is often complex. The concept of health has been evolving over time, cutting across multiple disciplines. Of late, there has been a focus on achieving not only health but total well-being. Schools have been challenged to promote student health by providing favourable environments, policies, support services and information-based interventions. Schools should develop integrated health interventions because of their proven effectiveness in promoting healthy lifestyles among students. This chapter critically examines the concept of health and establishes the connection between health and achievement. The chapter also proposes health interventions that are effective in influencing academic achievement.",book:{id:"6225",slug:"health-and-academic-achievement",title:"Health and Academic Achievement",fullTitle:"Health and Academic Achievement"},signatures:"Thomas Matingwina",authors:[{id:"227293",title:"Ph.D.",name:"Thomas",middleName:null,surname:"Matingwina",slug:"thomas-matingwina",fullName:"Thomas Matingwina"}]},{id:"60102",title:"Bullying in School",slug:"bullying-in-school",totalDownloads:3945,totalCrossrefCites:2,totalDimensionsCites:3,abstract:"Bullying in school is a significant problem worldwide and is one of the most common antisocial behaviors among adolescents and children. Despite implementing anti-bullying prevention programs in almost every school within the United States, Europe, and some initiatives in low-income countries, yet bullying is more pervasive problems in schools than any other problems. This chapter provides a review of research and evidence on school bullying: understanding the definition of bullying in school, and the size of the problem, the consequences of bullying, academic correlations, who is at risk, students’ perceptions of bullying and the evidence school-based programs to reduce and prevent bullying.",book:{id:"6225",slug:"health-and-academic-achievement",title:"Health and Academic Achievement",fullTitle:"Health and Academic Achievement"},signatures:"Nahla Mansour Al-Ali and Khulood K. Shattnawi",authors:[{id:"228887",title:"Associate Prof.",name:"Nahla",middleName:null,surname:"Al Ali",slug:"nahla-al-ali",fullName:"Nahla Al Ali"},{id:"238157",title:"Dr.",name:"Khulood",middleName:null,surname:"Shattnawi",slug:"khulood-shattnawi",fullName:"Khulood Shattnawi"}]},{id:"58183",title:"Influence of Drugs on Cognitive Functions",slug:"influence-of-drugs-on-cognitive-functions",totalDownloads:2237,totalCrossrefCites:6,totalDimensionsCites:8,abstract:"Disorders related to the misuse of certain drugs represent not only a worldwide public health problem, but also an economic and social issue. Adolescents and children represent the most vulnerable population for drug consumption and addiction. At this early stage in life, a crucial phase of the neurodevelopmental process, substance abuse can induce brain plasticity mechanisms that may produce long-lasting changes in neural circuitry and ultimately behavior. One of the consequences of these changes is the impairment of cognitive functions, with academic negative impact in the acquisition of new knowledge. In this chapter, we will describe the effects of illicit substances of abuse, both stimulants and depressants as well as prescription drug misuse and its influence of on learning and memory processes. Recent evidence on the new so-called smart drugs is also discussed.",book:{id:"6225",slug:"health-and-academic-achievement",title:"Health and Academic Achievement",fullTitle:"Health and Academic Achievement"},signatures:"Claudia Juárez-Portilla, Tania Molina-Jiménez, Jean-Pascal Morin,\nGabriel Roldán-Roldán and Rossana Citlali Zepeda",authors:[{id:"219266",title:"Dr.",name:"Rossana C",middleName:null,surname:"Zepeda",slug:"rossana-c-zepeda",fullName:"Rossana C Zepeda"},{id:"219492",title:"Dr.",name:"Claudia",middleName:null,surname:"Juárez-Portilla",slug:"claudia-juarez-portilla",fullName:"Claudia Juárez-Portilla"},{id:"219493",title:"Dr.",name:"Tania",middleName:null,surname:"Molina-Jiménez",slug:"tania-molina-jimenez",fullName:"Tania Molina-Jiménez"},{id:"219494",title:"Dr.",name:"Gabriel",middleName:null,surname:"Roldán-Roldán",slug:"gabriel-roldan-roldan",fullName:"Gabriel Roldán-Roldán"},{id:"220789",title:"Dr.",name:"Jean-Pascal",middleName:null,surname:"Morin",slug:"jean-pascal-morin",fullName:"Jean-Pascal Morin"}]}],onlineFirstChaptersFilter:{topicId:"266",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:90,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:108,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:33,numberOfPublishedChapters:330,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:14,numberOfPublishedChapters:145,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:9,numberOfPublishedChapters:141,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:123,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:112,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:22,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:11,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:"2753-6580",doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"July 5th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:9,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null},{id:"27",title:"Multi-Agent Systems",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",isOpenForSubmission:!0,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. He has served as guest editor for a number of special issues of peer-reviewed international journals.",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:20,paginationItems:[{id:"82526",title:"Deep Multiagent Reinforcement Learning Methods Addressing the Scalability Challenge",doi:"10.5772/intechopen.105627",signatures:"Theocharis Kravaris and George A. 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Kleczyk, Karin Hayes and Rajesh Mehta",slug:"evaluating-similarities-and-differences-between-machine-learning-and-traditional-statistical-modelin",totalDownloads:7,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Machine Learning and Data Mining - Annual Volume 2022",coverURL:"https://cdn.intechopen.com/books/images_new/11422.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"81791",title:"Self-Supervised Contrastive Representation Learning in Computer Vision",doi:"10.5772/intechopen.104785",signatures:"Yalin Bastanlar and Semih Orhan",slug:"self-supervised-contrastive-representation-learning-in-computer-vision",totalDownloads:59,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}}]},overviewPagePublishedBooks:{paginationCount:9,paginationItems:[{type:"book",id:"7723",title:"Artificial Intelligence",subtitle:"Applications in Medicine and Biology",coverURL:"https://cdn.intechopen.com/books/images_new/7723.jpg",slug:"artificial-intelligence-applications-in-medicine-and-biology",publishedDate:"July 31st 2019",editedByType:"Edited by",bookSignature:"Marco Antonio Aceves-Fernandez",hash:"a3852659e727f95c98c740ed98146011",volumeInSeries:1,fullTitle:"Artificial Intelligence - Applications in Medicine and Biology",editors:[{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}}]},{type:"book",id:"7726",title:"Swarm Intelligence",subtitle:"Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/7726.jpg",slug:"swarm-intelligence-recent-advances-new-perspectives-and-applications",publishedDate:"December 4th 2019",editedByType:"Edited by",bookSignature:"Javier Del Ser, Esther Villar and Eneko Osaba",hash:"e7ea7e74ce7a7a8e5359629e07c68d31",volumeInSeries:2,fullTitle:"Swarm Intelligence - Recent Advances, New Perspectives and Applications",editors:[{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:{name:"Tecnalia",institutionURL:null,country:{name:"Spain"}}}]},{type:"book",id:"7656",title:"Fuzzy Logic",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7656.jpg",slug:"fuzzy-logic",publishedDate:"February 5th 2020",editedByType:"Edited by",bookSignature:"Constantin Volosencu",hash:"54f092d4ffe0abf5e4172a80025019bc",volumeInSeries:3,fullTitle:"Fuzzy Logic",editors:[{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. 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He is currently the Director of the Postgraduate Program in Implantology of the Bioface/UCAM/PgO (Montevideo, Uruguay), Director of the Cathedra of Biotechnology of the Catholic University of Murcia (Murcia, Spain), an Extraordinary Full Professor of the Catholic University of Murcia (Murcia, Spain) as well as the Director of the private center of research Biotecnos – Technology and Science (Montevideo, Uruguay). Applied biomaterials, cellular and molecular biology, and dental implants are among his research interests. He has published several original papers in renowned journals. 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She is also Invisalign certified. She’s working as a Senior Lecturer in the Department of Orthodontics, SRM Dental College since November 2019. She is actively involved in teaching orthodontics to the undergraduates and the postgraduates. Her clinical research topics include new orthodontic brackets, fixed appliances and TADs. She’s published 4 articles in well renowned indexed journals and has a published patency of her own. Her private practice is currently limited to orthodontics and works as a consultant in various clinics.",institutionString:null,institution:{name:"SRM Dental College",country:{name:"India"}}},{id:"323731",title:"Prof.",name:"Deepak M.",middleName:"Macchindra",surname:"Vikhe",slug:"deepak-m.-vikhe",fullName:"Deepak M. Vikhe",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/323731/images/13613_n.jpg",biography:"Dr Deepak M.Vikhe .\n\n\t\n\tDr Deepak M.Vikhe , completed his Masters & PhD in Prosthodontics from Rural Dental College, Loni securing third rank in the Pravara Institute of Medical Sciences Deemed University. He was awarded Dr.G.C.DAS Memorial Award for Research on Implants at 39th IPS conference Dubai (U A E).He has two patents under his name. He has received Dr.Saraswati medal award for best research for implant study in 2017.He has received Fully funded scholarship to Spain ,university of Santiago de Compostela. He has completed fellowship in Implantlogy from Noble Biocare. \nHe has attended various conferences and CDE programmes and has national publications to his credit. His field of interest is in Implant supported prosthesis. Presently he is working as a associate professor in the Dept of Prosthodontics, Rural Dental College, Loni and maintains a successful private practice specialising in Implantology at Rahata.\n\nEmail: drdeepak_mvikhe@yahoo.com..................",institutionString:null,institution:{name:"Pravara Institute of Medical Sciences",country:{name:"India"}}},{id:"204110",title:"Dr.",name:"Ahmed A.",middleName:null,surname:"Madfa",slug:"ahmed-a.-madfa",fullName:"Ahmed A. Madfa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204110/images/system/204110.jpg",biography:"Dr. Madfa is currently Associate Professor of Endodontics at Thamar University and a visiting lecturer at Sana'a University and University of Sciences and Technology. He has more than 6 years of experience in teaching. 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Dr. Madfa also regularly attends international conferences and holds administrative positions (Deputy Dean of the Faculty for Students’ & Academic Affairs and Deputy Head of Research Unit).",institutionString:"Thamar University",institution:null},{id:"210472",title:"Dr.",name:"Nermin",middleName:"Mohammed Ahmed",surname:"Yussif",slug:"nermin-yussif",fullName:"Nermin Yussif",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/210472/images/system/210472.jpg",biography:"Dr. Nermin Mohammed Ahmed Yussif is working at the Faculty of dentistry, University for October university for modern sciences and arts (MSA). Her areas of expertise include: periodontology, dental laserology, oral implantology, periodontal plastic surgeries, oral mesotherapy, nutrition, dental pharmacology. She is an editor and reviewer in numerous international journals.",institutionString:"MSA University",institution:null},{id:"204606",title:"Dr.",name:"Serdar",middleName:null,surname:"Gözler",slug:"serdar-gozler",fullName:"Serdar Gözler",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204606/images/system/204606.jpeg",biography:"Dr. Serdar Gözler has completed his undergraduate studies at the Marmara University Faculty of Dentistry in 1978, followed by an assistantship in the Prosthesis Department of Dicle University Faculty of Dentistry. Starting his PhD work on non-resilient overdentures with Assoc. Prof. Hüsnü Yavuzyılmaz, he continued his studies with Prof. Dr. Gürbüz Öztürk of Istanbul University Faculty of Dentistry Department of Prosthodontics, this time on Gnatology. He attended training programs on occlusion, neurology, neurophysiology, EMG, radiology and biostatistics. In 1982, he presented his PhD thesis \\Gerber and Lauritzen Occlusion Analysis Techniques: Diagnosis Values,\\ at Istanbul University School of Dentistry, Department of Prosthodontics. As he was also working with Prof. Senih Çalıkkocaoğlu on The Physiology of Chewing at the same time, Gözler has written a chapter in Çalıkkocaoğlu\\'s book \\Complete Prostheses\\ entitled \\The Place of Neuromuscular Mechanism in Prosthetic Dentistry.\\ The book was published five times since by the Istanbul University Publications. Having presented in various conferences about occlusion analysis until 1998, Dr. Gözler has also decided to use the T-Scan II occlusion analysis method. Having been personally trained by Dr. Robert Kerstein on this method, Dr. Gözler has been lecturing on the T-Scan Occlusion Analysis Method in conferences both in Turkey and abroad. Dr. Gözler has various articles and presentations on Digital Occlusion Analysis methods. He is now Head of the TMD Clinic at Prosthodontic Department of Faculty of Dentistry , Istanbul Aydın University , Turkey.",institutionString:"Istanbul Aydin University",institution:{name:"Istanbul Aydın University",country:{name:"Turkey"}}},{id:"256417",title:"Associate Prof.",name:"Sanaz",middleName:null,surname:"Sadry",slug:"sanaz-sadry",fullName:"Sanaz Sadry",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/256417/images/8106_n.jpg",biography:null,institutionString:null,institution:{name:"Istanbul Aydın University",country:{name:"Turkey"}}},{id:"240870",title:"Ph.D.",name:"Alaa Eddin Omar",middleName:null,surname:"Al Ostwani",slug:"alaa-eddin-omar-al-ostwani",fullName:"Alaa Eddin Omar Al Ostwani",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/240870/images/system/240870.jpeg",biography:"Dr. Al Ostwani Alaa Eddin Omar received his Master in dentistry from Damascus University in 2010, and his Ph.D. in Pediatric Dentistry from Damascus University in 2014. Dr. Al Ostwani is an assistant professor and faculty member at IUST University since 2014. \nDuring his academic experience, he has received several awards including the scientific research award from the Union of Arab Universities, the Syrian gold medal and the international gold medal for invention and creativity. Dr. Al Ostwani is a Member of the International Association of Dental Traumatology and the Syrian Society for Research and Preventive Dentistry since 2017. He is also a Member of the Reviewer Board of International Journal of Dental Medicine (IJDM), and the Indian Journal of Conservative and Endodontics since 2016.",institutionString:"International University for Science and Technology.",institution:{name:"Islamic University of Science and Technology",country:{name:"India"}}},{id:"42847",title:"Dr.",name:"Belma",middleName:null,surname:"Işik Aslan",slug:"belma-isik-aslan",fullName:"Belma Işik Aslan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/42847/images/system/42847.jpg",biography:"Dr. Belma IşIk Aslan was born in 1976 in Ankara-TURKEY. After graduating from TED Ankara College in 1994, she attended to Gazi University, Faculty of Dentistry in Ankara. She completed her PhD in orthodontic education at Gazi University between 1999-2005. Dr. Işık Aslan stayed at the Providence Hospital Craniofacial Institude and Reconstructive Surgery in Michigan, USA for three months as an observer. She worked as a specialist doctor at Gazi University, Dentistry Faculty, Department of Orthodontics between 2005-2014. She was appointed as associate professor in January, 2014 and as professor in 2021. Dr. Işık Aslan still works as an instructor at the same faculty. She has published a total of 35 articles, 10 book chapters, 39 conference proceedings both internationally and nationally. Also she was the academic editor of the international book 'Current Advances in Orthodontics'. She is a member of the Turkish Orthodontic Society and Turkish Cleft Lip and Palate Society. She is married and has 2 children. Her knowledge of English is at an advanced level.",institutionString:"Gazi University Dentistry Faculty Department of Orthodontics",institution:null},{id:"202198",title:"Dr.",name:"Buket",middleName:null,surname:"Aybar",slug:"buket-aybar",fullName:"Buket Aybar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202198/images/6955_n.jpg",biography:"Buket Aybar, DDS, PhD, was born in 1971. She graduated from Istanbul University, Faculty of Dentistry, in 1992 and completed her PhD degree on Oral and Maxillofacial Surgery in Istanbul University in 1997.\r\nDr. Aybar is currently a full-time professor in Istanbul University, Faculty of Dentistry Department of Oral and Maxillofacial Surgery. She has teaching responsibilities in graduate and postgraduate programs. Her clinical practice includes mainly dentoalveolar surgery.\r\nHer topics of interest are biomaterials science and cell culture studies. She has many articles in international and national scientific journals and chapters in books; she also has participated in several scientific projects supported by Istanbul University Research fund.",institutionString:null,institution:{name:"Marmara University",country:{name:"Turkey"}}},{id:"178412",title:"Associate Prof.",name:"Guhan",middleName:null,surname:"Dergin",slug:"guhan-dergin",fullName:"Guhan Dergin",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/178412/images/6954_n.jpg",biography:"Assoc. Prof. Dr. Gühan Dergin was born in 1973 in Izmit. He graduated from Marmara University Faculty of Dentistry in 1999. He completed his specialty of OMFS surgery in Marmara University Faculty of Dentistry and obtained his PhD degree in 2006. In 2005, he was invited as a visiting doctor in the Oral and Maxillofacial Surgery Department of the University of North Carolina, USA, where he went on a scholarship. Dr. Dergin still continues his academic career as an associate professor in Marmara University Faculty of Dentistry. He has many articles in international and national scientific journals and chapters in books.",institutionString:null,institution:{name:"Marmara University",country:{name:"Turkey"}}},{id:"178414",title:"Prof.",name:"Yusuf",middleName:null,surname:"Emes",slug:"yusuf-emes",fullName:"Yusuf Emes",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/178414/images/6953_n.jpg",biography:"Born in Istanbul in 1974, Dr. Emes graduated from Istanbul University Faculty of Dentistry in 1997 and completed his PhD degree in Istanbul University faculty of Dentistry Department of Oral and Maxillofacial Surgery in 2005. He has papers published in international and national scientific journals, including research articles on implantology, oroantral fistulas, odontogenic cysts, and temporomandibular disorders. Dr. Emes is currently working as a full-time academic staff in Istanbul University faculty of Dentistry Department of Oral and Maxillofacial Surgery.",institutionString:null,institution:{name:"Istanbul University",country:{name:"Turkey"}}},{id:"192229",title:"Ph.D.",name:"Ana Luiza",middleName:null,surname:"De Carvalho Felippini",slug:"ana-luiza-de-carvalho-felippini",fullName:"Ana Luiza De Carvalho Felippini",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/192229/images/system/192229.jpg",biography:null,institutionString:"University of São Paulo",institution:{name:"University of Sao Paulo",country:{name:"Brazil"}}},{id:"256851",title:"Prof.",name:"Ayşe",middleName:null,surname:"Gülşen",slug:"ayse-gulsen",fullName:"Ayşe Gülşen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/256851/images/9696_n.jpg",biography:"Dr. Ayşe Gülşen graduated in 1990 from Faculty of Dentistry, University of Ankara and did a postgraduate program at University of Gazi. \nShe worked as an observer and research assistant in Craniofacial Surgery Departments in New York, Providence Hospital in Michigan and Chang Gung Memorial Hospital in Taiwan. \nShe works as Craniofacial Orthodontist in Department of Aesthetic, Plastic and Reconstructive Surgery, Faculty of Medicine, University of Gazi, Ankara Turkey since 2004.",institutionString:"Orthodontist, Assoc Prof in the Department of Aesthetic, Plastic and Reconstructive Surgery, Faculty of Medicine, University of Gazi",institution:null},{id:"255366",title:"Prof.",name:"Tosun",middleName:null,surname:"Tosun",slug:"tosun-tosun",fullName:"Tosun Tosun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255366/images/7347_n.jpg",biography:"Graduated at the Faculty of Dentistry, University of Istanbul, Turkey in 1989;\nVisitor Assistant at the University of Padua, Italy and Branemark Osseointegration Center of Treviso, Italy between 1993-94;\nPhD thesis on oral implantology in University of Istanbul and was awarded the academic title “Dr.med.dent.”, 1997;\nHe was awarded the academic title “Doç.Dr.” (Associated Professor) in 2003;\nProficiency in Botulinum Toxin Applications, Reading-UK in 2009;\nMastership, RWTH Certificate in Laser Therapy in Dentistry, AALZ-Aachen University, Germany 2009-11;\nMaster of Science (MSc) in Laser Dentistry, University of Genoa, Italy 2013-14.\n\nDr.Tosun worked as Research Assistant in the Department of Oral Implantology, Faculty of Dentistry, University of Istanbul between 1990-2002. \nHe worked part-time as Consultant surgeon in Harvard Medical International Hospitals and John Hopkins Medicine, Istanbul between years 2007-09.\u2028He was contract Professor in the Department of Surgical and Diagnostic Sciences (DI.S.C.), Medical School, University of Genova, Italy between years 2011-16. \nSince 2015 he is visiting Professor at Medical School, University of Plovdiv, Bulgaria. \nCurrently he is Associated Prof.Dr. at the Dental School, Oral Surgery Dept., Istanbul Aydin University and since 2003 he works in his own private clinic in Istanbul, Turkey.\u2028\nDr.Tosun is reviewer in journal ‘Laser in Medical Sciences’, reviewer in journal ‘Folia Medica\\', a Fellow of the International Team for Implantology, Clinical Lecturer of DGZI German Association of Oral Implantology, Expert Lecturer of Laser&Health Academy, Country Representative of World Federation for Laser Dentistry, member of European Federation of Periodontology, member of Academy of Laser Dentistry. Dr.Tosun presents papers in international and national congresses and has scientific publications in international and national journals. He speaks english, spanish, italian and french.",institutionString:null,institution:{name:"Istanbul Aydın University",country:{name:"Turkey"}}},{id:"260116",title:"Dr.",name:"Mehmet",middleName:null,surname:"Yaltirik",slug:"mehmet-yaltirik",fullName:"Mehmet Yaltirik",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/260116/images/7413_n.jpg",biography:"Birth Date 25.09.1965\r\nBirth Place Adana- Turkey\r\nSex Male\r\nMarrial Status Bachelor\r\nDriving License Acquired\r\nMother Tongue Turkish\r\n\r\nAddress:\r\nWork:University of Istanbul,Faculty of Dentistry, Department of Oral Surgery and Oral Medicine 34093 Capa,Istanbul- TURKIYE",institutionString:null,institution:{name:"Istanbul University",country:{name:"Turkey"}}},{id:"171887",title:"Prof.",name:"Zühre",middleName:null,surname:"Akarslan",slug:"zuhre-akarslan",fullName:"Zühre Akarslan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/171887/images/system/171887.jpg",biography:"Zühre Akarslan was born in 1977 in Cyprus. She graduated from Gazi University Faculty of Dentistry, Ankara, Turkey in 2000. \r\nLater she received her Ph.D. degree from the Oral Diagnosis and Radiology Department; which was recently renamed as Oral and Dentomaxillofacial Radiology, from the same university. \r\nShe is working as a full-time Associate Professor and is a lecturer and an academic researcher. \r\nHer expertise areas are dental caries, cancer, dental fear and anxiety, gag reflex in dentistry, oral medicine, and dentomaxillofacial radiology.",institutionString:"Gazi University",institution:{name:"Gazi University",country:{name:"Turkey"}}},{id:"272237",title:"Dr.",name:"Pinar",middleName:"Kiymet",surname:"Karataban",slug:"pinar-karataban",fullName:"Pinar Karataban",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/272237/images/8911_n.png",biography:"Assist.Prof.Dr.Pınar Kıymet Karataban, DDS PhD \n\nDr.Pınar Kıymet Karataban was born in Istanbul in 1975. After her graduation from Marmara University Faculty of Dentistry in 1998 she started her PhD in Paediatric Dentistry focused on children with special needs; mainly children with Cerebral Palsy. She finished her pHD thesis entitled \\'Investigation of occlusion via cast analysis and evaluation of dental caries prevalance, periodontal status and muscle dysfunctions in children with cerebral palsy” in 2008. She got her Assist. Proffessor degree in Istanbul Aydın University Paediatric Dentistry Department in 2015-2018. ın 2019 she started her new career in Bahcesehir University, Istanbul as Head of Department of Pediatric Dentistry. In 2020 she was accepted to BAU International University, Batumi as Professor of Pediatric Dentistry. She’s a lecturer in the same university meanwhile working part-time in private practice in Ege Dental Studio (https://www.egedisklinigi.com/) a multidisciplinary dental clinic in Istanbul. Her main interests are paleodontology, ancient and contemporary dentistry, oral microbiology, cerebral palsy and special care dentistry. She has national and international publications, scientific reports and is a member of IAPO (International Association for Paleodontology), IADH (International Association of Disability and Oral Health) and EAPD (European Association of Pediatric Dentistry).",institutionString:null,institution:null},{id:"172009",title:"Dr.",name:"Fatma Deniz",middleName:null,surname:"Uzuner",slug:"fatma-deniz-uzuner",fullName:"Fatma Deniz Uzuner",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/172009/images/7122_n.jpg",biography:"Dr. Deniz Uzuner was born in 1969 in Kocaeli-TURKEY. After graduating from TED Ankara College in 1986, she attended the Hacettepe University, Faculty of Dentistry in Ankara. \nIn 1993 she attended the Gazi University, Faculty of Dentistry, Department of Orthodontics for her PhD education. After finishing the PhD education, she worked as orthodontist in Ankara Dental Hospital under the Turkish Government, Ministry of Health and in a special Orthodontic Clinic till 2011. Between 2011 and 2016, Dr. Deniz Uzuner worked as a specialist in the Department of Orthodontics, Faculty of Dentistry, Gazi University in Ankara/Turkey. In 2016, she was appointed associate professor. Dr. Deniz Uzuner has authored 23 Journal Papers, 3 Book Chapters and has had 39 oral/poster presentations. She is a member of the Turkish Orthodontic Society. Her knowledge of English is at an advanced level.",institutionString:null,institution:null},{id:"332914",title:"Dr.",name:"Muhammad Saad",middleName:null,surname:"Shaikh",slug:"muhammad-saad-shaikh",fullName:"Muhammad Saad Shaikh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Jinnah Sindh Medical University",country:{name:"Pakistan"}}},{id:"315775",title:"Dr.",name:"Feng",middleName:null,surname:"Luo",slug:"feng-luo",fullName:"Feng Luo",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Sichuan University",country:{name:"China"}}},{id:"344229",title:"Dr.",name:"Sankeshan",middleName:null,surname:"Padayachee",slug:"sankeshan-padayachee",fullName:"Sankeshan Padayachee",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of the Witwatersrand",country:{name:"South Africa"}}},{id:"315727",title:"Ms.",name:"Kelebogile A.",middleName:null,surname:"Mothupi",slug:"kelebogile-a.-mothupi",fullName:"Kelebogile A. Mothupi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of the Witwatersrand",country:{name:"South Africa"}}},{id:"423519",title:"Dr.",name:"Sizakele",middleName:null,surname:"Ngwenya",slug:"sizakele-ngwenya",fullName:"Sizakele Ngwenya",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of the Witwatersrand",country:{name:"South Africa"}}},{id:"337613",title:"Mrs.",name:"Tshakane",middleName:null,surname:"R.M.D. Ralephenya",slug:"tshakane-r.m.d.-ralephenya",fullName:"Tshakane R.M.D. Ralephenya",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of the Witwatersrand",country:{name:"South Africa"}}},{id:"419270",title:"Dr.",name:"Ann",middleName:null,surname:"Chianchitlert",slug:"ann-chianchitlert",fullName:"Ann Chianchitlert",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Walailak University",country:{name:"Thailand"}}},{id:"419271",title:"Dr.",name:"Diane",middleName:null,surname:"Selvido",slug:"diane-selvido",fullName:"Diane Selvido",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Walailak University",country:{name:"Thailand"}}},{id:"419272",title:"Dr.",name:"Irin",middleName:null,surname:"Sirisoontorn",slug:"irin-sirisoontorn",fullName:"Irin Sirisoontorn",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Walailak University",country:{name:"Thailand"}}}]}},subseries:{item:{id:"14",type:"subseries",title:"Cell and Molecular Biology",keywords:"Omics (Transcriptomics; Proteomics; Metabolomics), Molecular Biology, Cell Biology, Signal Transduction and Regulation, Cell Growth and Differentiation, Apoptosis, Necroptosis, Ferroptosis, Autophagy, Cell Cycle, Macromolecules and Complexes, Gene Expression",scope:"The Cell and Molecular Biology topic within the IntechOpen Biochemistry Series aims to rapidly publish contributions on all aspects of cell and molecular biology, including aspects related to biochemical and genetic research (not only in humans but all living beings). We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics include, but are not limited to: Advanced techniques of cellular and molecular biology (Molecular methodologies, imaging techniques, and bioinformatics); Biological activities at the molecular level; Biological processes of cell functions, cell division, senescence, maintenance, and cell death; Biomolecules interactions; Cancer; Cell biology; Chemical biology; Computational biology; Cytochemistry; Developmental biology; Disease mechanisms and therapeutics; DNA, and RNA metabolism; Gene functions, genetics, and genomics; Genetics; Immunology; Medical microbiology; Molecular biology; Molecular genetics; Molecular processes of cell and organelle dynamics; Neuroscience; Protein biosynthesis, degradation, and functions; Regulation of molecular interactions in a cell; Signalling networks and system biology; Structural biology; Virology and microbiology.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11410,editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",slug:"rosa-maria-martinez-espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",biography:"Dr. Rosa María Martínez-Espinosa has been a Spanish Full Professor since 2020 (Biochemistry and Molecular Biology) and is currently Vice-President of International Relations and Cooperation development and leader of the research group 'Applied Biochemistry” (University of Alicante, Spain). Other positions she has held at the university include Vice-Dean of Master Programs, Vice-Dean of the Degree in Biology and Vice-Dean for Mobility and Enterprise and Engagement at the Faculty of Science (University of Alicante). She received her Bachelor in Biology in 1998 (University of Alicante) and her PhD in 2003 (Biochemistry, University of Alicante). She undertook post-doctoral research at the University of East Anglia (Norwich, U.K. 2004-2005; 2007-2008).\nHer multidisciplinary research focuses on investigating archaea and their potential applications in biotechnology. She has an H-index of 21. She has authored one patent and has published more than 70 indexed papers and around 60 book chapters.\nShe has contributed to more than 150 national and international meetings during the last 15 years. Her research interests include archaea metabolism, enzymes purification and characterization, gene regulation, carotenoids and bioplastics production, antioxidant\ncompounds, waste water treatments, and brines bioremediation.\nRosa María’s other roles include editorial board member for several journals related\nto biochemistry, reviewer for more than 60 journals (biochemistry, molecular biology, biotechnology, chemistry and microbiology) and president of several organizing committees in international meetings related to the N-cycle or respiratory processes.",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,series:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983"},editorialBoard:[{id:"79367",title:"Dr.",name:"Ana Isabel",middleName:null,surname:"Flores",slug:"ana-isabel-flores",fullName:"Ana Isabel Flores",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRpIOQA0/Profile_Picture_1632418099564",institutionString:null,institution:{name:"Hospital Universitario 12 De Octubre",institutionURL:null,country:{name:"Spain"}}},{id:"328234",title:"Ph.D.",name:"Christian",middleName:null,surname:"Palavecino",slug:"christian-palavecino",fullName:"Christian Palavecino",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000030DhEhQAK/Profile_Picture_1628835318625",institutionString:null,institution:{name:"Central University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"186585",title:"Dr.",name:"Francisco Javier",middleName:null,surname:"Martin-Romero",slug:"francisco-javier-martin-romero",fullName:"Francisco Javier Martin-Romero",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSB3HQAW/Profile_Picture_1631258137641",institutionString:null,institution:{name:"University of Extremadura",institutionURL:null,country:{name:"Spain"}}}]},onlineFirstChapters:{paginationCount:17,paginationItems:[{id:"82751",title:"Mitochondria-Endoplasmic Reticulum Interaction in Central Neurons",doi:"10.5772/intechopen.105738",signatures:"Liliya Kushnireva and Eduard Korkotian",slug:"mitochondria-endoplasmic-reticulum-interaction-in-central-neurons",totalDownloads:6,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Updates on Endoplasmic Reticulum",coverURL:"https://cdn.intechopen.com/books/images_new/11674.jpg",subseries:{id:"14",title:"Cell and Molecular Biology"}}},{id:"82716",title:"Advanced glycation end product induced endothelial dysfunction through ER stress: Unravelling the role of Paraoxonase 2",doi:"10.5772/intechopen.106018",signatures:"Ramya Ravi and Bharathidevi Subramaniam Rajesh",slug:"advanced-glycation-end-product-induced-endothelial-dysfunction-through-er-stress-unravelling-the-rol",totalDownloads:13,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Updates on Endoplasmic Reticulum",coverURL:"https://cdn.intechopen.com/books/images_new/11674.jpg",subseries:{id:"14",title:"Cell and Molecular Biology"}}},{id:"82195",title:"Endoplasmic Reticulum: A Hub in Lipid Homeostasis",doi:"10.5772/intechopen.105450",signatures:"Raúl Ventura and María Isabel Hernández-Alvarez",slug:"endoplasmic-reticulum-a-hub-in-lipid-homeostasis",totalDownloads:17,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Updates on Endoplasmic Reticulum",coverURL:"https://cdn.intechopen.com/books/images_new/11674.jpg",subseries:{id:"14",title:"Cell and Molecular Biology"}}},{id:"82103",title:"The Role of Endoplasmic Reticulum Stress and Its Regulation in the Progression of Neurological and Infectious Diseases",doi:"10.5772/intechopen.105543",signatures:"Mary Dover, Michael Kishek, Miranda Eddins, Naneeta Desar, Ketema Paul and Milan Fiala",slug:"the-role-of-endoplasmic-reticulum-stress-and-its-regulation-in-the-progression-of-neurological-and-i",totalDownloads:15,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Updates on Endoplasmic Reticulum",coverURL:"https://cdn.intechopen.com/books/images_new/11674.jpg",subseries:{id:"14",title:"Cell and Molecular Biology"}}},{id:"80954",title:"Ion Channels and Neurodegenerative Disease Aging Related",doi:"10.5772/intechopen.103074",signatures:"Marika Cordaro, Salvatore Cuzzocrea and Rosanna Di Paola",slug:"ion-channels-and-neurodegenerative-disease-aging-related",totalDownloads:12,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Ion Channels - From Basic Properties to Medical Treatment",coverURL:"https://cdn.intechopen.com/books/images_new/10838.jpg",subseries:{id:"14",title:"Cell and Molecular Biology"}}},{id:"81647",title:"Diabetes and Epigenetics",doi:"10.5772/intechopen.104653",signatures:"Rasha A. 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