Common error functions.
\\n\\n
IntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\\n\\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\\n\\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\\n\\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\\n\\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\\n\\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\\n\\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\\n\\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\\n\\nFeel free to share this news on social media and help us mark this memorable moment!
\\n\\n\\n"}]',published:!0,mainMedia:{caption:"",originalUrl:"/media/original/237"}},components:[{type:"htmlEditorComponent",content:'
After years of being acknowledged as the world's leading publisher of Open Access books, today, we are proud to announce we’ve successfully launched a portfolio of Open Science journals covering rapidly expanding areas of interdisciplinary research.
\n\n\n\nIntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\n\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\n\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\n\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\n\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\n\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\n\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\n\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\n\nFeel free to share this news on social media and help us mark this memorable moment!
\n\n\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"7273",leadTitle:null,fullTitle:"Advances in Heat Exchangers",title:"Advances in Heat Exchangers",subtitle:null,reviewType:"peer-reviewed",abstract:"Heat exchangers are important devices for engineering, research, and industry. Because of this, any improvement helps to optimize the whole process. Opportunity areas may be found in design, materials, or working fluids. In this sense, the present book compiles some advances in the matter of design (three chapters) and working fluids (one chapter). An introductory chapter also is presented.",isbn:"978-1-78985-074-1",printIsbn:"978-1-78985-073-4",pdfIsbn:"978-1-83962-038-6",doi:"10.5772/intechopen.74640",price:100,priceEur:109,priceUsd:129,slug:"advances-in-heat-exchangers",numberOfPages:92,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"be01a6ff85cfea7f4fcac6c4fafc4c13",bookSignature:"Laura Castro Gómez and Víctor Manuel Velázquez Flores",publishedDate:"February 20th 2019",coverURL:"https://cdn.intechopen.com/books/images_new/7273.jpg",numberOfDownloads:6928,numberOfWosCitations:0,numberOfCrossrefCitations:8,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:15,numberOfDimensionsCitationsByBook:1,hasAltmetrics:1,numberOfTotalCitations:23,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"February 5th 2018",dateEndSecondStepPublish:"February 26th 2018",dateEndThirdStepPublish:"April 27th 2018",dateEndFourthStepPublish:"July 16th 2018",dateEndFifthStepPublish:"September 14th 2018",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"179471",title:"Dr.",name:"Laura",middleName:null,surname:"Castro Gómez",slug:"laura-castro-gomez",fullName:"Laura Castro Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/179471/images/system/179471.jpg",biography:"Laura Castro Gómez obtained a Ph.D. in Engineering and Applied Sciences at the Center of Research in Engineering and Applied Science (CIICAp). She is a professor and researcher in mechanical engineering at Morelos State University (UAEM), Mexico. She teaches thermodynamics, fluids mechanics, and heat transfer, among other subjects. She also has expertise in turbomachinery, fluid flows, and heat exchangers. She has published sixteen papers in scientific journals and four book chapters. She has also co-edited two books. Dr. Castro is a reviewer for journals such as the International Journal Of Energy Research and Heat and Mass Transfer. She is a member of the board of directors of the Mexican Society of Mechanical Engineering, A.C. (SOMIM).",institutionString:"Universidad Autónoma del Estado de Morelos",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"3",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"Universidad Autónoma del Estado de Morelos",institutionURL:null,country:{name:"Mexico"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:{id:"242550",title:"Dr.",name:"Víctor Manuel",middleName:null,surname:"Velázquez Flores",slug:"victor-manuel-velazquez-flores",fullName:"Víctor Manuel Velázquez Flores",profilePictureURL:"https://mts.intechopen.com/storage/users/242550/images/system/242550.jpg",biography:"Víctor Velázquez Flores is a Professor of Chemical Engineering, Morelos State University (UAEM), Mexico. He received a BChE and Ph.D. in Applied Chemical Engineering from the same university. Dr. Velázquez has taught thermodynamics, applied thermodynamics, applied fluids mechanics, mass and energy balance, and heat transfer. He has published articles in refereed and indexed journals and given workshops for the training of students and teachers. He has also directed theses and served as a dissertation advisor.",institutionString:"Universidad Autónoma del Estado de Morelos",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Universidad Autónoma del Estado de Morelos",institutionURL:null,country:{name:"Mexico"}}},coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"826",title:"Thermal Engineering",slug:"mechanical-engineering-thermal-engineering"}],chapters:[{id:"65100",title:"Introductory Chapter: Heat Exchangers",doi:"10.5772/intechopen.83376",slug:"introductory-chapter-heat-exchangers",totalDownloads:923,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Laura L. Castro Gómez",downloadPdfUrl:"/chapter/pdf-download/65100",previewPdfUrl:"/chapter/pdf-preview/65100",authors:[{id:"179471",title:"Dr.",name:"Laura",surname:"Castro Gómez",slug:"laura-castro-gomez",fullName:"Laura Castro Gómez"}],corrections:null},{id:"63844",title:"Numerical Investigation of PCM Melting in a Finned Tube Thermal Storage",doi:"10.5772/intechopen.76890",slug:"numerical-investigation-of-pcm-melting-in-a-finned-tube-thermal-storage",totalDownloads:1111,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:0,abstract:"Due to their high energy storage capacity, latent heat storage units using phase change materials (PCMs) have gained considerable attention over the past three decades. The heat exchange of a PCM with the surrounding medium is managed by the thermal energy equation (solidification/melting) with different complex boundary and initial conditions. In this study, we propose to solve numerically this equation applied to a PCM by the finite difference method. To understand the storage phenomenon of solar energy in the form of latent heat in PCM, initially found under cooling at 18°C, we studied the fusion in a specific configuration corresponding to a tubular exchanger with five circular horizontal fins. In this perspective, we propose in this work a numerical investigation based on an enthalpy formulation to study the melting of a PCM in a finned heat exchanger. This numerical approach gives simultaneously the temperature distributions in the PCM storage system and temporal propagation of the melting front during the melting of the PCM when it is exposed to a hot airflow. Also, we give in this study the transient evolution of the longitudinal air temperature profiles.",signatures:"Imen Jmal and Mounir Baccar",downloadPdfUrl:"/chapter/pdf-download/63844",previewPdfUrl:"/chapter/pdf-preview/63844",authors:[null],corrections:null},{id:"62088",title:"Use of Heat Transfer Enhancement Techniques in the Design of Heat Exchangers",doi:"10.5772/intechopen.78953",slug:"use-of-heat-transfer-enhancement-techniques-in-the-design-of-heat-exchangers",totalDownloads:1781,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:1,abstract:"Heat transfer enhancement refers to application of basic concepts of heat transfer processes to improve the rate of heat removal or deposition on a surface. In the flow of a clean fluid through the tube of a heat exchanger, the boundary layer theorem establishes that a laminar sublayer exists where the fluid velocity is minimal. Heat transfer through this stagnant layer is mainly dominated by thermal conduction, becoming the major resistance to heat transfer. From an engineering point of view, heat transfer can be enhanced if this stagnant layer is partially removed or eliminated. In single-phase heat transfer processes, three options are available to increase the heat transfer rate. One of them is the choice of smaller free flow sectional area for increased fluid velocity bringing about a reduction of the thickness of the laminar sublayer. A second option is the engineering of new surfaces which cause increased local turbulence, and the third option consists in the use of mechanical inserts that promote local turbulence. The application of these alternatives is limited by the pressure drop. This chapter describes the concept of heat transfer enhancement and the ways it is applied to the development of new heat exchanger technology.",signatures:"Martín Picón-Núñez, Jorge C. Melo-González and Jorge Luis García-\nCastillo",downloadPdfUrl:"/chapter/pdf-download/62088",previewPdfUrl:"/chapter/pdf-preview/62088",authors:[null],corrections:null},{id:"63132",title:"Potentials and Challenges of Additive Manufacturing Technologies for Heat Exchanger",doi:"10.5772/intechopen.80010",slug:"potentials-and-challenges-of-additive-manufacturing-technologies-for-heat-exchanger",totalDownloads:2133,totalCrossrefCites:7,totalDimensionsCites:10,hasAltmetrics:1,abstract:"The rapid development of additive manufacturing (AM) technologies enables a radical paradigm shift in the construction of heat exchangers. In place of a layout limited to the use of planar or tubular starting materials, heat exchangers can now be optimized, reflecting their function and application in a particular environment. The complexity of form is no longer a restriction but a quality. Instead of brazing elements, resulting in rather inflexible standard components prone to leakages, with AM, we finally can create seamless integrated and custom solutions from monolithic material. To address AM for heat exchangers we both focus on the processes, materials, and connections as well as on the construction abilities within certain modeling and simulation tools. AM is not the total loss of restrictions. Depending on the processes used, delicate constraints have to be considered. But on the other hand, we can access materials, which can operate in a much wider heat range. It is evident that conventional modeling techniques cannot match the requirements of a flexible and adaptive form finding. Instead, we exploit biomimetic and mathematical approaches with parametric modeling. This results in unseen configurations and pushes the limits of how we should think about heat exchangers today.",signatures:"Uwe Scheithauer, Richard Kordaß, Kevin Noack, Martin F.\nEichenauer, Mathias Hartmann, Johannes Abel, Gregor Ganzer and\nDaniel Lordick",downloadPdfUrl:"/chapter/pdf-download/63132",previewPdfUrl:"/chapter/pdf-preview/63132",authors:[null],corrections:null},{id:"63401",title:"Thermal Performance of Shell and Tube Heat Exchanger Using PG/Water and Al2O3 Nanofluid",doi:"10.5772/intechopen.80082",slug:"thermal-performance-of-shell-and-tube-heat-exchanger-using-pg-water-and-al2o3-nanofluid",totalDownloads:980,totalCrossrefCites:0,totalDimensionsCites:2,hasAltmetrics:0,abstract:"This study investigates experimentally the thermal performance of propylene glycol/water with a concentration of (10/90) % and Al2O3/water nanofluid with a volume concentration of (0.1, 0.4, 0.8, 1.5, and 2.5) percentage under turbulent flow inside a horizontal shell and tube heat exchanger. The results indicate that the convective heat transfer coefficient of the nanofluid is higher than the base PG/water for the same inlet temperature and mass flow rates. The heat transfer of the nanofluid increases with the increase in mass flow rate as well as the Al2O3 nanofluid volume concentration. Results also indicate that the increase in the concentration of the particles causes an increase in the viscosity which leads to an increase in friction factor. The effect of Peclet number, Reynolds number, Nusselt number, and Stanton number has been investigated. Those dimensionless number values change with the change in the working fluid density, Prandtl number, and volume concentration of the suspended particles.",signatures:"Jaafar Albadr",downloadPdfUrl:"/chapter/pdf-download/63401",previewPdfUrl:"/chapter/pdf-preview/63401",authors:[null],corrections:null}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"296",title:"Developments in Heat Transfer",subtitle:null,isOpenForSubmission:!1,hash:"06bca9a8a622c1fa728dc3943bff471e",slug:"developments-in-heat-transfer",bookSignature:"Marco Aurélio dos Santos Bernardes",coverURL:"https://cdn.intechopen.com/books/images_new/296.jpg",editedByType:"Edited by",editors:[{id:"6625",title:"Dr.",name:"Marco Aurelio",surname:"Dos Santos Bernardes",slug:"marco-aurelio-dos-santos-bernardes",fullName:"Marco Aurelio Dos Santos Bernardes"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"2230",title:"An Overview of Heat Transfer Phenomena",subtitle:null,isOpenForSubmission:!1,hash:"7bb8831521deb0cadc8f29532d083b50",slug:"an-overview-of-heat-transfer-phenomena",bookSignature:"Salim N. 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\r\n\tMarine Ecosystems are very productive and include the open ocean, the deep-sea ocean, and coastal marine ecosystems, each of which has different physical and biological characteristics. The biodiversity of some of these ecosystems is very rich and abundant offering unique opportunities for high-yield production of proteinaceous material, being a source of high-quality foods. Biodiversity is fundamental to sustaining marine ecosystem services, such as food, maintenance of water quality, and recovery from perturbations, being threatened worldwide. The main threats to marine biodiversity are habitat loss, eutrophication, overexploitation, pollution by hazardous substances, the introduction of non-native species, and other human activities. Efforts to reduce these pressures are essential for coastal water quality, recovery of ecosystem services, global food security, and ecosystem stability. Bioindicators to assess the presence of stressors are important tools to be used as early warning signals to early detect their presence, monitor and management of these ecosystems, and thus promote ecosystem health.
\r\n\r\n\t
\r\n\tThe protection of biodiversity is a major target of the European Union Marine Strategy Framework Directive, requiring an assessment of the status of biodiversity on the level of species, habitats, and ecosystems including genetic diversity and the role of biodiversity in food web structure and functioning. The restoration of marine ecosystems can support the productivity and reliability of goods and services that the ocean provides to humankind, to maintain ecosystem integrity and stability. Some of the goods produced by the marine ecosystem services are fish harvests, wild plant and animal resources, water, some of the services provided recreation, tourism, breeding and nursery habitats, water transport, carbon sequestration, erosion control, and habitat provision.
Although water covers 70% of the world’s surface, the availability of fresh water for animal consumption is becoming scarce. This is attributed to the improved standards that have resulted in rapid usage of pollutant infused substances such as pesticides, heavy metals, anions, pharmaceuticals, phenolic, personal care products, dyes, and hydrocarbons. Different methods have been developed to remove such substances from the wastewater, these include; biological, precipitation, membrane technology, electrochemical, and adsorption. Currently, the latter has received a considerable attention because it is cost and energy effective, easy to design and operate. Numerous adsorbents (carbon, clay, polymer, activates sludge, and zeolite) have been developed to remove solute form wastewater [1, 2, 3]. These adsorbents have large surface area and pore volume, thermal stability, with low acid/base reactivity. This makes them suitable to remove a wide range of organic and inorganic dissolved pollutants from wastewater and air.
The utmost parameter to consider while designing the adsorption system is adsorption kinetics; kinetics determine the rate at which the adsorption occurs. Kinetics are influenced by the surface complexity of the adsorbent, solute concentration and flow. Pseudo-First-order (PFO), Pseudo-Second-order (PSO), Elovich, and Intra-particle (IP) model are some of the kinetics that foretells the adsorbent-adsorbate interaction. The first two models have been widely applied in almost every sorption process. The suitability of any model depends on the error level—correlation coefficient (R2) or Sum of Squared Errors (SSE). To study adsorption kinetics, the linear forms have been applied; a linear form of PSO has been favoured over PFO model for the last 2 decades.
The linearization of a function involves assumptions—any change in the assumption means a change in the error parameter. This leads to biasness in the data producing vast outcomes which violate the variance and normality assumption of the standard least squares. For example, the linearization of PSO has resulted in more than five different forms of PSO model. Using the non-linear form of the function means distributing the error on the entire curve. Generally, analysis of PFO and PSO is done by plotting
Adsorption is the process by which solute molecules attach to the surface of an adsorbent. The adsorption process is done in batch or column setup. Adsorption kinetics is a curve (or line) that describes the rate of retention or release of a solute from an aqueous environment to solid-phase interface at a given adsorbents dose, temperature, flow rate and pH. During adsorption two main processes are involved; physical (physisorption) or chemical (chemisorption). Physical adsorption is as a result of weak forces of attraction (van der Waals), while chemisorption involves the formation of a strong bond between the solute and the adsorbent that involves the transfer of electrons.
Also known as Lagergren model, PFO describes the adsorption of solute onto adsorbent following the first order mechanism;
where
The value of
and the linear form
The plot of
PSO model assumes that the rate of adsorption of solute is proportional to the available sites on the adsorbent. And the reaction rate is dependent on the amount of solute on the surface of the adsorbent—the driving force
Eq. (6) has been rearranged in different forms, Eq. (7)–(10).
The approach used to linearize the curvilinear function of PSO determines the distribution of the error function of the same kinetic model. Among the linearized equations of PSO, Eq. (7) yields better fitting results compared to other forms. Therefore, the PSO constants can be determined from a graph of
When the solute concentration is low, Eq. (7) explains the adsorption mechanism more than any other kinetic model; however, at high initial concentration, PFO model is favoured [7]. This is because at low
To further understand the chemisorption nature of adsorption, Elovich model (developed by Zeldowitsch) is applied. This model helps to predict the mass and surface diffusion, activation and deactivation energy of a system. Although the model was initially applied in gaseous systems, its applicability in wastewater processes has been redeemed meaningful. The model assumes that the rate of adsorption of solute decreases exponentially as the amount of adsorbed solute increase.
As
As the system approaches equilibrium
The graph of
IP model has been widely applied to examine the rate limiting step during adsorption. The adsorption of solute in a solution involves mass transfer of adsorbate (film diffusion), surface diffusion, and pore diffusion. Film diffusion is an independent step, whereas surface and pore diffusion may occur simultaneously. IP is studied by examining Weber and Morris (1963) model, Eq. (14).
To understand if film diffusion is the rate controlling step, Boyd developed a single-resistance model that can be used to assess this effect. Boyd assumes that the boundary layer surrounding the adsorbent has a greater effect on the diffusion of solute [3]. To determine this effect, Eq. (15) is applied.
It is hard to estimate appropriate values of
The graph of
To determine the kinetic model that best describes the interaction between the adsorbent and solute, the goodness of fit is used. The coefficient of correlation (R2), sum-of-squared errors (SSE), average relative error, Spearman’s correlation coefficient, non-linear chi-square test, hybrid fractional error function, Marquardt’s percent standard deviation, and standard deviation of relative errors are some of the error functions that have been employed to study model fit. Table 1 summaries the error function [4, 14, 15, 16, 17].
Error function | Expression |
---|---|
Coefficient of correlation (R2) | |
Marquardt’s percent standard deviation (MPSD) | |
Sum-of-squared errors (SSE) | |
Hybrid fractional error function |
Common error functions.
This is one of the most used error function in determining the model. The main challenge of using SSE is that at higher concentration the squares of error increase. This gives a good fit which is not the case always [15].
Almost given in every adsorption study, R2 shows the degree of variability of dependent variable which is explained by all independent variables. It ranges from 0 to 1, with values close to zero showing a perfect fit.
Although not commonly used in adsorption kinetics analysis, this error function is a modification of geometric mean distribution. It is based on the number of degrees of freedom of a system [16].
Developed by Porter [17], the model was aimed to improve the applicability of SSE at a lower concentration. The error function is divided by the measured value.
Different error functions yield different value of goodness fit—thus it may be difficult to select the best model fit. SNE provide a normalised value of the different error functions, making comparison very easy. SNE is done by dividing the error value of the different functions by the highest error for a given kinetic model.
The assessment of adsorption kinetics using error function has been misused in almost all adsorption papers. The problem arises when error function of linearized equations of non-linear functions are expended to determine the suitability of a model. In some linearized models, to reduce the error factor, log or square root transforms are applied if the error increases with the dependent factor. And if the error variance decrease with increasing dependent factor, then exponential or square alters are applied. However, the use of R2 or SSE does not detect the biasness of the parameters.
The dependent variable in adsorption kinetic is not entirely linear over the given values of the independent variable. Eq. (7) shows the linearized form of PSO. The inverse of data weights
Dyes are organic substances that cause a permanent or temporary change in colour of a material; they are resistant to detergents. Dyes are widely employed in leather, food, textile, paper, rubber, and plastic industries. When dyes are released in the hydrosphere, they can block sunlight penetration, thus affecting the marine life. In addition, they give unpleasant colour to water making it unsafe for human consumption. To reduce the impact of dyes on the ecosystem, adsorption method has been employed to remove dyes from wastewater. Different kinetic models have been employed to study the adsorption of dyes from solution, these include; PFO, PSO, Elvoich, and IP models. The suitability of any model depends on error functions. Table 2 summarises the non-linear adsorption kinetics of different adsorbent.
Adsorbent | Solute | Error function | Kinetic | Ref. |
---|---|---|---|---|
Activated carbon | Acid red | R2 | PFO, PSO* | [19] |
Activated carbon | Methylene blue | R2 | PFO*, PSO* | [20] |
Activated carbon | Methylene blue | R2, NSD | PFO*, PSO | [21] |
Mn2O3 nanofibres | Methylene blue, malachite green, Basic red 46 | R2, | PFO, PSO*, IP | [22] |
Sugarcane bagasse | Auramine-O, Safranin-T | R2, | PFO, PSO*, IP, Elovich* | [23] |
Polyhedral oligomeric | Crystal violet | R2 | PFO*, PSO* | [24] |
MWCNTs hydrogel | Methylene blue | R2, | PFO*, PSO | [25] |
Mg3Si2O5(OH)4 | Rhodamine B | R2 | PFO*, PSO* | [26] |
Fe3C/Fe3O4/C | Methylene blue | R2 | PFO, PSO* | [27] |
Clinoptilolite | Pb | NSD, R2, SSE | PFO*, PSO Elovich* | [28] |
Clinoptilolite | Pb | R2 | PFO, PSO* | [29] |
Wheat straw | Cu | R2, | PFO, PSO* Elovich | [30] |
Fruit peels | Cu | R2 | PFO*, PSO Elovich | [31] |
Chitosan | Cu | R2, ARE | PFO, PSO* Elovich | [32] |
Rape straw | Cu | R2, | PFO, PSO*, IP | [33] |
Nano-TiO2 | As | NSD, R2 | PFO, PSO* | [34] |
Nano-iron | As | NSD, R2, SSE, ARE | PFO, PSO* Elovich | [35] |
Graphene oxide | As | R2, | PFO*, PSO, IP, Elovich | [36] |
Nanocellulose | Hg | R2, | PFO, PSO* | [37] |
MCM-41 | Hg | R2, RMSE, ARE | PFO, PSO*, IP, Elovich | [38] |
Almond shell | Hg | R2, ARE | PFO, PSO*, IP, | [39] |
Chitosan | P | R2 | PFO*, PSO* | [40] |
Tourmaline | P | R2 | PFO, PSO* | [41] |
Zn-Al | P | R2, RMSE | PFO, PSO* IP | [42] |
Iron | N | R2, SSE | PFO*, PSO IP, Elovich | [43] |
Chitosan-Fe | N | R2, | PFO, PSO* IP | [44] |
Cellulose | N | R2, ARE | PFO, PSO*, Avrami | [2] |
Quintinite | F | R2, | PFO, PSO*, Elovich | [45] |
Mg-Al-Fe | F | R2, RMSE | PFO*, PSO, IP | [46] |
Manganese carbonate | F | R2, NSD | PFO, PSO* | [47] |
Coconut | Carbofuran | R2, ARE | PFO, PSO* | [48] |
AC | Carbofuran | R2, RMSE | PFO, PSO* | [49] |
AC | Carbofuran | R2 | PFO, PSO* | [50] |
AC | 2,4-D | R2, ARE, NSD | PFO, PSO*, IP | [51] |
MIEX resin | 2,4-D | R2, RMSE | PFO, PSO*, IP | [52] |
Sibunit | 2,4-D | R2 | PFO*, PSO*, | [53] |
AC | 2,4-D | R2, RMSE | PFO, PSO* | [54] |
Peanut | Atrazine | R2 | PFO*, PSO* | [55] |
MWCNT | Atrazine | R2, ARE | PFO, PSO*, IP | [56] |
Biochars | Atrazine | R2 | PFO, PSO*, IP, Elovich* | [57] |
Trimethylsilylated | Gemfibrozil | R2, SE | PFO, PSO* | [58] |
Photocatalytic | Indomethacin | R2, SE, SSE | PFO, PSO* | [59] |
Human hair | Tetracycline | R2, ARE | PFO*, PSO, IP | [60] |
Non-linear adsorption kinetics.
Best model, NSD: normalised standard deviation,
While using a linear model of kinetics, based on R2, it was evident the adsorption of Rhodamine B by Mg3Si2O5(OH)4 followed second order system; however, expending non-linear analysis, R2 of PFO jumped from 0.67 to 0.99 [26]. Using non-linear approach to analyse the kinetics of dye adsorption, the goodness fit of PFO increases drastically to an average of 0.90. The fitting of R2 ≥ 0.9 is statistically good and can be used to make conclusions. Most error functions have been based on R2—this has forced researchers to conclude that both PFO and PSO explain the adsorption of dye. However, further analysis using different error functions can help to solve the puzzle. The adsorption of Methylene blue onto activated carbon fitted PFO and PSO well (R2 > 0.9); however, the analysis of NSE, PFO had the least value [21]—thus the adsorption of methylene blue is best described by PFO. Linearization of PFO worsens the adsorption parameter—to have a better fitting of PFO during dye adsorption, the non-linear model should be used while studying dye adsorption. Therefore as more dye adsorption studies are being carried, non-linear model and error functions should be explored to avoid misleading conclusions. Similar trends have been observed by different research groups working on dye adsorption [61, 62, 63, 64, 65].
A number of organic material have been classified as emerging contaminates, these include; pesticide, pharmaceuticals, disinfection by-products, fertilisers, and biological toxins. All these organic materials affect our ecosystem in a diverse way. The cheap and effective method of removing these materials from the solution is adsorption; however, there has been mixed results about the adsorption kinetics of these pollutants. Carbofuran is a pesticide, ranked among the most dangerous carbamate insecticides. Albeit its bioaccumulation is less, its mammalian toxicity potential is high. When consumed for a prolonged period of time at elevated concentrations (more than 0.09 mg/L), it disrupts the endocrine, breathing, development and reproduction systems [50]. This necessitates its removal from wastewater. The adsorption kinetics of carbofuran have been studied in almost every adsorption study. The analysis of non-linear and linear kinetic functions using the error parameters—the adsorption of carbofuran generally follows PSO. The experimental data for adsorption of carbofuran on coconut were almost in perfect correlation with PSO model [48]. Therefore, PSO should be given a priority while designing adsorption system for carbofuran adsorption.
2,4-Dichlorophenoxyacetic acid (2,4-D) is herbicide that is globally used as a selective regulator of plants. 2,4-D is non-volatile but highly soluble in water. Thus exposure of groundwater to 2,4-D can lead to contamination. Long-time exposure of 100 μg/L of 2,4-D to humans can lead its accumulation in the seminal plasma and follicular mucus—increasing the risk of infertility. The removal of 2,4-D from solution using adsorption technique is mainly dominated by carbon related adsorbents [66]. Although the adsorption of 2,4-D using Sibunit raised a mixed observation as the initial concentration of changed [53], from Table 2, the assessment of error functions shows that adsorption of 2,4-D is mainly governed by PSO kinetics. Both non-linear and linear functions sorption kinetics favour PSO model. Another common herbicide expended in broadleaf weeds regulation is atrazine. Because of its high solubility in water, it has been detected in a number of groundwater wells, thus its ban in European countries; however, atrazine is extensively used in developing economies as pre and post-emergent herbicide to control weeds in crops. As 2,4-D, atrazine is an endocrine disruptor [56]. Several non-linear and linear kinetic studies have indicated that the adsorption of atrazine to be PSO in nature (Table 2).
Pharmaceuticals are organic compounds used to prevent, treat, and restore organ function. After restoring the damaged organ, they are flashed out of the body into the environment. In addition, pharmaceutical companies release numerous amount of waste into the water streams. The widely employed wastewater treatment technologies cannot remove pharmaceuticals wastes—thus the escalated presence of pharmaceutical products in the environment. Estrone, 17β-estradiol, 17α-ethinylestradiol, estriol, and acetaminophen are among the most alkaloids, steroid hormones and primary estrogens present in wastewater. As pesticides and herbicides, pharmaceuticals danger the nervous system. Most of the pharmaceuticals that are harmful to human nervous system tend to be lipophilic in nature, binding to solids. Nanofiltration, advanced oxidation, and adsorption are some of the main methods that are used to remove pharmaceuticals from wastewater. To effectively remove pharmaceuticals from solution, mesopore adsorbents with considerable surface area must be used. The adsorption kinetics of anionic, neutral, and cationic pharmaceutical onto mesopore trimethylsilylated all followed PSO model [58].
In allowable range, metals are vital elements that support human life—without them, life could be impossible. Among all the major contaminants, metals top the list because of their wide applicability in electricity, construction, and medicine. Accumulation of heavy metals in human bodies is dangerous. For example, thallium and manganese damages nervous system, while cobalt and nickel are carcinogenic. Different adsorbents have been developed to remove these metals from wastewater. These include; industrial waste, peat, wood, brown rice, straw, peanut shell, hazelnut shell, soybean filament, cotton seed pulp, sugar beet pulp, leaves. The adsorption of metals is affected by pH of the solution, contact time, the initial concentration of metal and ambient temperature are affected. The adsorption mechanism is evaluated by various kinetic models such as PFO, PSO, Elovich, Weber and Morris intra-particle diffusion model, Bangham model and Boyd kinetic model.
During metal adsorption, the best kinetic model is evaluated by assessing the error function after plotting linear or and linear model. In addition,
Copper is another mineral that has received considerable attention over the past decades. Copper nanoparticles have been employed in lubricates to reduce the friction, tear and mend torn surfaces. Because of its good charge-discharge property, copper nanoparticles have been used in lithium batteries to improve coulombs efficiency. Due to numerous application of copper, it is mostly likely to enter into human bodies via the food and water chain. Excessive exposer of animals to copper destruct lipid profile, malfunction of the renal, and hepatocirrhosis [33]; this calls its removal from solution before it is consumed by humans. The removal of copper by adsorption process has been studied by different research groups. Although there are some studies that have favoured the adsorption of copper to be PFO nature [31], the assessment non-linear and linear adsorption kinetics of copper favours PSO—regardless of the adsorbent (Table 2). Comparing the error functions that determine the suitability of the kinetic model, PSO error parameters possess minimal variations. For example, the adsorption of copper onto chitosan followed PSO mechanism [32].
Ranked in top five among the most dangerous metal, the occurrence of Arsenic in wastewater is on raise due to increased usage of paintings, dyes, mining and smelting activities. The consumption of arsenic contaminated materials (above 10 parts per billion) causes muscle cramping, blood and hair loss—thus it is necessary to remove arsenic from water before it is consumed. The adsorption kinetics of arsenic vary from one experiment to another. While comparing the non-linear and linear kinetics of arsenic adsorption by nano-TiO2, both non-linear form of PFO and PSO yielded good fit (>0.90) [34]. The linear model of PFO yielded a very poor fit—thus basing on the linear model only can lead to poor judgement. Although there is no clear cut point on the best kinetic model, the recent adsorption studies of arsenic favour PSO (Table 2). Mercury is another heavy metal that has been investigated extensively due to its toxicity to animals. Although Hg is widely used in teeth amalgam, consumption of water levels with more 0.01 mg/L of Hg causes neuronal disorders and damages cardiovascular system [67]. This has called the development of cheap and efficient adsorbents to remove Hg from solution. While modelling the linear adsorption of Hg using MCM-41, PFO yielded a poor coefficient; however, when non-linear models were applied, PFO error functions improved [38]. Table 2 summaries the adsorption kinetics of Hg onto different adsorbents—the non-linear PSO model has been preferred over the other models.
Metals in wastewater are always accompanied by anions like phosphate, sulphate, carbonate, and chloride. Among these, phosphate is the most crucial element. Phosphorus is a vital element in our ecosystem, without it life would be impossible. Phosphorus support bone and tooth growth, nerves and muscles. Phosphorus is vital during the formation and maintenance of DNA and cell membranes. However, excessive presence of phosphorus in the ecosystem promotes bacteria growth. This affects marine life which in turn disorganises the ecosystem. Also, white phosphorus has been reported to cause stomach cramps, nausea, and drowsiness [68]. Various approaches are used in phosphate removal from wastewater including ion exchange, chemical precipitation, biological, and adsorption. The later has received considerable attention due to its efficiency and cost benefit. The adsorption kinetics of vanadium have been extensively studied in almost every study. There are mixed results about the adsorption kinetics of phosphorus. The adsorption of phosphorus onto tourmaline was best described by linear PSO; however, analysis of the non-linear models produced better fitting for both models (R2 > 0.95) [41]. Thus, before any conclusion is made about the kinetic model, non-linear kinetics should be investigated. There is no clear model that governs the adsorption of phosphorus (Table 2).
Nitrates are another ions that affect ecosystem extensively. The mechanisation of agriculture has promoted the use of nitrogen infused fertilisers at large scale. Excessive nitrogen promotes eutrophication—a condition that promotes algal growth. Algal growth cuts off oxygen supply in the aquatic system [69]. Therefore, before nitrate infused wastewater is released into the atmosphere, it must be treated. In addition, elevated amount of nitrate cause blue-baby syndrome. Adsorption has been employed to remove nitrates from wastewater. The adsorption of nitrate onto iron particles was best described by PFO [43]. However, during the adsorption of nitrate onto chitosan-Fe, PSO was favoured model [44]. There is more need to investigate the non-linear kinetics of nitrate adsorption. Fluorine is an essential element in our daily life—it is used in toothpaste to prevent teeth from decay. However, long term consumption of water with over 1.5 mg/L causes fluorosis, a condition that affects teeth, bones ossification, and neurological damage under extreme conditions [70]. To remove fluorine from water, precipitation and adsorption have been employed extensively. The adsorption kinetics of fluoride are complex, they depend on solute-adsorbent interaction. For example, the adsorption of fluoride onto manganese carbonate was second order in nature [47]; however, the analysis of a non-linear model of fluoride adsorption by Mg-Al-Fe, PFO controlled the reaction [46].
Since the late C20th, majority of the adsorption studies have favoured PSO than PFO. This is attributed to the fact that, most of the plots of PSO include values as the system approaches equilibrium—the values of
This study was funded by Istanbul University with project number BYP-2017-22921. Thanks to Joseph Wasswa, Laura Milillo and Michael Kayemba of UZURI Advisory for the suggestions and advice.
Perovskite solar cells (PSCs) have attracted the attention of the scientific community in the last decade evidenced by the impressive number of scientific publications found under the keyword “perovskite & solar cell” in the database SCOPUS1. At the time of writing, 19407 documents were retrieved, corresponding most of these works to small area devices measured in laboratory conditions. However, for the commercialization of this photovoltaic technology (PV), the main challenge is the fabrication of large area devices with high temporal stability and processed by scalable techniques, being a prerequisite for real-world application reliable measurement of perovskite technology under outdoor conditions. In addition, given the characteristics of metal halide perovskites (denoted as “perovskites” in this work), it is to be noting that there is not a standardized protocol for the fabrication and performance measurements.
The relevance of outdoor performance is supported by a deep analysis of the scientific literature which reveals that only a small fraction of research articles deals with perovskite solar cells measured in outdoor conditions. For instance, only 100 documents were found in SCOPUS when “outdoor” was added as keyword in the search. Thus, less than 1% of the documents reported outdoor measurements, illustrating the wide gap between the development of larger area devices and laboratory scale devices (active area, A < = 1 cm2). Moreover, from the data extracted of more than 16000 scientific articles, almost 70% of these devices have a n-i-p architecture and active area smaller than 1 cm2 (see Figure 1a). This highlighted a big research activity in small devices, contrary to devices with areas closer to commercial applications. In fact, in the case of minimodule (cells connected in series and A > = 10 cm2), there are only 36 devices reported. Interestingly, at this scale the p-i-n architecture account for almost 42% of the devices reported. Thus, this cell configuration is of high interest for scaling up the perovskite technology since it has demonstrated higher stability, reproducibility and can be made from materials of lower cost such Nickel oxide (NiOx) as hole transport layer instead of spiro commonly used for N-I-P devices [1].
State of the art of perovskite photovoltaic technology. The plots were built using the data available in the “Perovskite Database Project”. (a). PCE as a function of active cell area. The gray area zone corresponds to large area devices (>10 cm2). Colors correspond to the cell architecture. (b)
Temperature (°C) | r-value | Slope | Intercept | |
---|---|---|---|---|
25 | 1.58 | 0.98 | 0.16 | 2.57 |
28 | 1.67 | 0.98 | 0.17 | 2.48 |
30 | 1.81 | 0.99 | 0.18 | 2.37 |
32 | 1.86 | 0.99 | 0.19 | 2.32 |
35 | 1.91 | 0.97 | 0.20 | 2.25 |
Parameters related to the fit of Voc and Irradiance to estimate nID.
On the other hand, related to the reported stability measurements, the
Altogether, this analysis of scientific literature reveals the urgent necessity of studies dealing with performance measurements of large devices operated outdoors, tested for longer periods, and produced by solution-based methods compatible with scalable fabrication. In this chapter, we report a compilation of several studies developed in our group which report the fabrication and electrical performance characterization of perovskite minimodules tested in outdoor conditions for periods as long as 2500 hours. The p-i-n mesoporous structure of the minimodules allows fabrication of devices on substrates of areas up to 100 cm2 and showed improved stability and reproducibility of the perovskite films on large-areas [1]. Moreover, the volatile solvent methylamine-acetonitrile used for the perovskite precursor its compatible with scalable fabrication methods [2]. To measure outdoor performance, we propose a methodology based on the international standard IEC 61853–1 [3]. From the temporal evolution of the maximum power (Pmax) of solar minimodules tracked at the Solar Cell Outdoor Performance Laboratory (OPSUA) of the University of Antioquia, we have collected statistical data which allowed the measurement of lifetime (
The performance of photovoltaic devices is conventionally characterized by the I-V curve according to temperature and illumination conditions. Accordingly, the Standard Test Conditions (STC) defined as 1000 W/m2 of irradiance and 25°C of cell temperature is the most common conditions to measure the I-V curve in order to extract the main parameters such as open circuit voltage (
Related to outdoor performance, International Electrotechnical Commission (IEC) published a series of standards in IEC 61853 intended to establish the requirements for evaluating the performance of all photovoltaic technologies in term of power [6] or term of energy and performance ratio (IEC 61853–3). In the case of energy, it is worth noting that the study involves the inverter performance. For that, the performance depends on the evaluated solar device, the electronic device, and the maximum power tracking algorithm [7]. In the case of power, the study is mainly based on the parameters extracted for the I-V, in this regard, the standard called “Photovoltaic (PV) module performance testing and energy rating – Part 1: Irradiance and temperature performance measurements and power rating” allows the validation of the devices status of any solar technology defining a pass/fail criteria, in which the success is reached if the power rating conditions (PRC) measured fall within the power range specified by the manufacturer [6]. Corresponding the conditions for the five power rating conditions to:
Standard Test Condition (STC), defined at 1000 W/m2 and cell temperature of 25°C
Nominal Operating Cell Temperature (NOCT), defined at 800 W/m2 and ambient temperature of 20°C
Low Irradiance Condition (LIC), defined at 200 W/m2 and cell temperature of 25°C
High Temperature Condition (HTC), defined at 1000 W/m2 and cell temperature of 75°C
Low Temperature Condition (LTC), defined at 500 W/m2 and cell temperature of 15°C)
Consequently, the evaluation of the standard IEC61853–1 according to the five PRC provides a complete device characterization under various values of irradiance and temperature, observing the impact of weather variables on
In the case of emerging technologies such as PSCs, no international standards have been fully established and adopted, and most published works have focused on laboratory-scale cells to evaluate the performance, stability and degradation of this technology [8, 9, 10, 11, 12, 13, 14]. Thus, because this technology is in its infancy, insufficient data are available to fully establish or identify the degradation modes and mechanisms of PSCs, the impact on outdoor performance evolution including large devices [15, 16].
Related to outdoor performance evaluation of perovskite, the International Summit on Organic Photovoltaic Stability (ISOS) suggests 3 protocols [17]. ISOS-O-1 suggests periodically record the J-V curve at STC using a solar simulator (indoor). ISOS-O-2 suggests periodically record the J-V curve under outdoor conditions, keeping the device at the Maximum Power Point (MPP) or open-circuit voltage. In contrast, the ISOS-O-3 suggests periodically recording the J-V curve using a solar simulator, keeping the device at MPP under outdoor conditions. Despite that these cases are related to outdoor, the electrical characterization is usually carried out under indoor conditions to evaluate the performance degradation or device stability, this obviously gives most of the time to over or sub estimate the real device behavior. On the other hand, the protocols suggest reporting the normalized data (per unit) considering the first value to normalize the data and obtain the degradation behavior to estimate degradation rate or lifetime. In this regard, a broadly-supported consensus statement on reporting data related to stability assessment was published, highlighting certain particularities of PSC technology that must be taken into account [14].
To evaluate the outdoor performance of solar devices under natural sunlight without a tracker, a Solar Cell Outdoor Performance Laboratory of the University of Antioquia (OPSUA, Figure 2) was implemented in Medellín-Colombia (6° 15′ 38′′ N 75° 34′ 05′′W, facing south at a fixed angle of 10°). In this laboratory, the performance of photovoltaic technologies could be evaluated in terms of power measuring the I-V curve of devices under different illumination and temperature conditions according to IEC 61853–1.
Solar Cell Outdoor Performance Laboratory of the University of Antioquia (OPSUA). a) commercial technologies. b) perovskite devices.
To measure the I-V curve of solar devices different hardware techniques have been used [18], intended to improve portability, local data storage, low cost, and faster response during measurement. Two different types of I-V curve tracers (solar analyzer, SA) have been recently developed [19]. One SA is based on the capacitive load technique due to simplicity, power dissipation, and cost concerns. This prototype is intended for devices that operate for voltages up to 250 V and currents up to 12.5 A (solar panels, Figure 3a), measuring the I-V curve from short circuit to open circuit. The other SA is based on the four-quadrant DC supply due to greater flexibility on sweep direction and speed, allowing a complete characterization including the reverse bias region and voltages higher than the open-circuit voltage, making it practical for hysteresis measurements. This prototype is intended for devices that operate for voltages up to 8 V and currents up to 3 A (solar cells and solar minimodules, Figure 3b). Moreover, to optimize the I-V curve process and store records, an embedded computer (Raspberry Pi) is connected to control each SA and measure the I-V curve every minute.
Solar analyzers (SA) to tracer the I-V curve. a) SA for solar panels and b) SA for solar cells or minimodules.
The monitoring system implemented in OPSUA, allows to record, and store the weather variables (irradiance and temperatures), and electrical data (I-V curve). These data are uploaded to the remote server to provide backup, and centralize the process to estimate the Outdoor performance according to the flowchart shows in Figure 2 considering the power rating conditions suggested by IEC 61853–1. In this sense, the implemented procedure to estimate the outdoor performance could be divided into two main parts: one part is related to the databases of exposed devices that are created by merging the weather and electrical data, another part is related to the analysis, Figure 4.
Flow chart to obtain the outdoor performance. Procedure to analyze and process the databases to obtain the impact of weather variables on outdoor performance (OP), power rating conditions (PRCs), and ideality factor (nID).
In brief, from the I-V curves, photovoltaic parameters such as
Outdoor performance (OP): the impact of weather variables on performance is estimated and depicted in form of map to illustrate the performance as a function of irradiance and temperature, representing the average outdoor performance during the evaluated time and indicating the operative range of the involved variables (Figure 5a). A full description of these maps was shown in previous work [19, 20, 21].
Power rating conditions (PRCs): the data shown in the form of maps (the average OP) are filtered considering a deviation of 5% from the irradiance levels corresponding to the power rating conditions indicated by IEC 61853–1, that is, 1000 W/m2, corresponding to standard test conditions (STC); 800 W/m2, corresponding to NOCT conditions; 500 W/m2, corresponding to low-temperature conditions (LTC); and 200 W/m2, corresponding to low-irradiance conditions (LIC). Hence, the data deviation of each power rating conditions is considered by the median value of the data considered in each sampling time, Figure 5b.
Ideality factor (
Outdoor analysis. a) Outdoor performance displayed in the form of a map to show the impact of weather variables on performance. b) Calculated PRCs over time by filtering the data by batches considering the irradiance levels defined by the power rating conditions. c) Ideality factor estimated considering the ambient temperature and the data shown in figure a).
Finally, it is worth noting that these analyses are considered by the loop. For that, it is possible to divide the data by sets (batches) to estimate the average impact of weather variables on performance, the power rating conditions and ideality factor in every dataset (batch). Therefore, it is possible to analyze the performance evolution or power loss tendency (degradation-shape).
In OPSUA, perovskite minimodules (PMM) with inverted structure, large areas and different cells in series have been tested [1, 20, 21]. Figure 6 shows the performance for three representative PMMs during the first 100 h of exposure in the form of contour. These maps represent the average performance allowing observation of the impact of weather variables on
Normalized outdoor performance of three representative PMM. a-c) Maximum power. d-f) Short-circuit current. g-i) Open-circuit voltage. The color bar indicates the variable range. At the top of each plot, the maximum recorded value used to normalize each variable’s data is shown. These figures only considered the data during the first 100 h of exposure. Figure taken from [
Information on system state and performance collected over time is referred to as degradation data [22]. In solar devices (cells, modules, and panels), the natural indicator to evaluate the degradation is the performance, which is commonly obtained from the I-V curves data and contrasted to weather variables such as irradiance and temperature [23]. In this sense, the failure for an individual device could be defined as the time at which the output power dropped to 20% below the initial output, being this the standard definition of lifetime of photovoltaic devices (
Currently, the long-term stability or lifetime (
In this regard, Figure 7 shows a summary of
Summary of Pmax evolution at NOCT from the outdoor test. a) representative power loss tendencies for perovskite minimodules. b) Probability density of T80 for evaluated samples. Corresponding the blue bars to T80 data, black line to data fit to Normal Distribution function (being the parameters: μ = 276.8 and std. = 478) and green line to data fit to Double Weibull Distribution function (being the parameters: c = 0.6, loc = 80 and scale = 453.7). c) Degradation Rate (DR) of three representative patterns of each group according to degradation levels suggested by the probability function distribution of T80. Corresponding the DR to the slope of linear fitting showed (color lines). The slope of the fitted curves provides the degradation rate in %/h units.
The evaluated outdoor samples exhibited three different
It is worth noting that these three
In the case of the representative samples of each
Related to
Related to
Related to
Accordingly,
Normalized behavior for photovoltaic parameters. Corresponding a) for variables related to Pmax convex pattern, b) for Pmax linear pattern, and c) for Pmax concave pattern. d) Maximum power for all patterns. e) Isc for all patterns and f) Voc for all patterns. The green color corresponds to Pmax convex pattern, the blue color corresponds to Pmax linear pattern, and the gray color corresponds to Pmax concave pattern. Solid lines correspond to the fits and color markets to the data.
The ideality factor also called the quality factor or shape curve factor, is one of the most reported parameters for different solar cell technologies. This parameter has been used to define the electrical behavior of solar devices due to its relationship with conduction, transport, recombination, and behavior at interface junctions, providing direct information on the dominating recombination processes. For silicon,
On the other hand, despite that
Where
Accordingly, the outdoor data related to the three representative samples correlated to each
Figure 9 shows as an example the procedure to estimate the
Procedure to estimate nID from Outdoor Data. a) Linearity determination criteria to filter the data from atypical data. At the top is shown the coefficient of determination (r-value), estimated from the fitting process between Pmax and irradiance. The gray points correspond to data measured in the considered exposure time, and the color dots correspond to data considered as filtered and representative of the dataset. The filtered data correspond to the average conditions during the 100 h of exposure. b) Ideality factor estimated considering different ambient temperatures and the data registered between 0 and 100 h of exposure. The parameters estimation of nID for the linear regression in accordance with
Patterns of the ideality factor. a-c) Ideality factor analysis of the three representative samples: (a) nID exhibits a concave pattern, (b) nID exhibits a linear pattern, and (c) nID exhibits a convex pattern. The thick black line on each box represents the average value in the corresponding time window. The red line is included as a visual guide to illustrate the patterns. Figure taken from [
The
Estimated ideality factor using the device temperature. a) Relationship between ambient and minimodule temperature during the first 100 h of exposure. Corresponding the points to measured data and the solid red line to the linear regression fit. The corresponding coefficient of determination of the fits is shown at the top. b) Ideality factor calculated considering the device temperature instead of the ambient temperature. The boxplots were obtained by calculating the variables observed in the measurement sets, each of which contained measurements recorded over 100 hours of outdoor exposure. The thick black line on each box represents the median value, while the blue boxes represent 50% of the data in the corresponding time window. c) Comparison of ideality factor calculated using the device and ambient temperature. Solid lines of each color correspond to the estimated average nID values and dotted lines to the standard deviation of the variables. These values were estimated by calculating the nID values in the corresponding time window for ambient temperatures ranging between 25 and 35
It is worth noting that results in Figure 10 were estimated in accordance with Eq. (1) using the ambient temperature to simplify the methodology and the number of variables to record in the outdoor test. Nevertheless, to determine the impact of the device temperature in the estimation of the ideality factor, the data related to
Outdoor performance of emerging halide perovskite photovoltaics is just starting to become an important issue to determine the technology behavior under more realistic conditions. Specific standards are required to be applied for particular technologies specially for halide perovskite solar devices, as their behavior not necessarily follows the typical silicon or other traditional semiconductors based technology. However, general standards like IEC 61853–1 allows to stablish valid criteria to study these emerging devices. Parameters as lifetime (
The authors gratefully acknowledge the financial support provided by the Colombia Scientific Program within the framework of the call
The authors declare no conflict of interest
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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:null},{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. 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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. 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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. 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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. 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ASD is associated with deficiencies in communication and social interaction, as well as restricted and repetitive behavioural patterns, according to the fifth edition of the diagnostic and statistical manual of mental disorders (DSM-5). By using the ISI Web of Knowledge as the reference data basis, we perform a bibliometric study of the use of VR as an educational tool for high-functioning ASD children. By this study we can quantify, on the one hand, the up to day importance of the different types of VR applied to this field: immersive or non-immersive, as well as the use of human or agent avatars. On the other hand, we can also differentiate amongst those interventions that work on emotional and social competences. The analysis of periods of research scarce, research abundance and research trends provides a dynamic view of the strategies used in this field in the last 20 years and suggests future lines of research.",book:{id:"6327",slug:"contemporary-perspective-on-child-psychology-and-education",title:"Contemporary Perspective on Child Psychology and Education",fullTitle:"Contemporary Perspective on Child Psychology and Education"},signatures:"Jorge Fernández-Herrero, Gonzalo Lorenzo-Lledó and Asunción\nLledó Carreres",authors:[{id:"187920",title:"Prof.",name:"Gonzalo",middleName:null,surname:"Lorenzo",slug:"gonzalo-lorenzo",fullName:"Gonzalo Lorenzo"},{id:"189580",title:"Prof.",name:"Asunción",middleName:null,surname:"Lledó",slug:"asuncion-lledo",fullName:"Asunción Lledó"},{id:"213024",title:"Mr.",name:"Jorge",middleName:null,surname:"Fernandez-Herrero",slug:"jorge-fernandez-herrero",fullName:"Jorge Fernandez-Herrero"}]},{id:"68639",doi:"10.5772/intechopen.88569",title:"Social Media and Young People’s Mental Health",slug:"social-media-and-young-people-s-mental-health",totalDownloads:2078,totalCrossrefCites:1,totalDimensionsCites:3,abstract:"Evidence suggests that social media can impact detrimentally on children and young people’s mental health. At the same time, social media use can be beneficial and have positive effects. This chapter outlines the detrimental and positive effects of social media use for young people. Schools play a critical role in educating young people about how to use social media safely and responsibly. However, schools cannot address all the issues and parents, social media and advertising companies also have a responsibility to protect children and young people from harm. 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Adolescence as a transitional stage is marked by process of seeking identity, the need for intimate relationship, as well as the struggle for psychological independence from family. Anxiety is defined as a state of extreme worry, fear, and uncertainty which results from the expectation of a threatening event or situation. The aims of study are: to explore the differences in anxiety levels among adolescents from divorced and intact families; to explore the level of anxiety of adolescents from divorced and intact families with respect to their genders. A demographic questionnaire was created and The Beck Anxiety Inventory was applied to measure anxiety. The scale was applied with 162 participants who were chosen randomly from 5 different high schools in Istanbul province. The study found out that there are statistically significant differences in anxiety level of adolescents between children from divorced and intact families. Descriptive measures are in range as follows: (17.67 ± 9.645). The adolescents from divorced families had a higher level of anxiety (t = 17.322; p < .05). The result related to the second study aim shows that there are no statistically significant differences in anxiety between male and female adolescents from divorced and intact families (p > .05).",book:{id:"6327",slug:"contemporary-perspective-on-child-psychology-and-education",title:"Contemporary Perspective on Child Psychology and Education",fullTitle:"Contemporary Perspective on Child Psychology and Education"},signatures:"Senija Tahirović and Gokce Demir",authors:[{id:"214445",title:"Dr.",name:"Senija",middleName:null,surname:"Tahirovic",slug:"senija-tahirovic",fullName:"Senija Tahirovic"},{id:"214465",title:"MSc.",name:"Gokce",middleName:null,surname:"Demir",slug:"gokce-demir",fullName:"Gokce Demir"}]},{id:"57686",doi:"10.5772/intechopen.71672",title:"Children and Young People’s Vulnerabilities to Grooming",slug:"children-and-young-people-s-vulnerabilities-to-grooming",totalDownloads:2219,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"Child abuse is evolving, pervasive and complex and children are vulnerable to its widespread reach in many aspects of their lives, from face-to-face interactions to those they have online. This chapter aims to review contemporary literature which outlines the vulnerabilities of children to face-to-face and online grooming as part of a process leading to child abuse and exploitation. The chapter will undertake a review of literature on two aspects of grooming: child sexual exploitation (CSE) and radicalisation. It will draw on contemporary case examples to illustrate grooming drawn from UK Serious Case Reviews (SCR) on CSE and, on radicalisation, the case of the three girls from Bethnal Green who were groomed for travel to Syria. It will then reflect on the push and pull factors of grooming to highlight the similarities between CSE and radicalisation. Moving on, the chapter will then consider how and if interactive social media simulations, linked to an innovative, preventative educational approach and designed with reference to Vygotsky’s social construction theory, have the potential to educate young people to help protect them from being groomed. The chapter will then make reference to the findings of a small pilot study which evaluated the use of this approach with young people.",book:{id:"6327",slug:"contemporary-perspective-on-child-psychology-and-education",title:"Contemporary Perspective on Child Psychology and Education",fullTitle:"Contemporary Perspective on Child Psychology and Education"},signatures:"Jane Reeves, Emma Soutar, Sally Green and Tracy Crowther",authors:[{id:"211328",title:"Prof.",name:"Jane",middleName:null,surname:"Reeves",slug:"jane-reeves",fullName:"Jane Reeves"},{id:"211838",title:"Dr.",name:"Tracy",middleName:null,surname:"Crowther",slug:"tracy-crowther",fullName:"Tracy Crowther"},{id:"211839",title:"Mrs.",name:"Emma",middleName:null,surname:"Soutar",slug:"emma-soutar",fullName:"Emma Soutar"},{id:"211840",title:"Mrs.",name:"Sally",middleName:null,surname:"Green",slug:"sally-green",fullName:"Sally Green"}]},{id:"57269",doi:"10.5772/intechopen.71265",title:"Enhancing Young Children’s Access to Early Childhood Education and Care in Tanzania",slug:"enhancing-young-children-s-access-to-early-childhood-education-and-care-in-tanzania",totalDownloads:1477,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"This chapter draws on the current situation of limited access of young children to early childhood education and care (ECEC) settings in Tanzania. It offers information and evidence on early childhood education and care (ECEC) from an international perspective to those who are, directly or indirectly, involved with young children and their families. Basically, early childhood education and care in Tanzania is still unsatisfactory. Many children have no access to early childhood settings for various reasons including: lack of parents’ awareness on the importance of early investment in education, lack of support from the government, low socio-economic status of parents, gender discrimination, and traditional norms and cultural values. To improve the situation, there is need for a forging of partnership between the government, parents, and the community. Government policy-makers have to set clear policies regarding how quality early childhood education and care can be equitably funded and conducted throughout the country.",book:{id:"6327",slug:"contemporary-perspective-on-child-psychology-and-education",title:"Contemporary Perspective on Child Psychology and Education",fullTitle:"Contemporary Perspective on Child Psychology and Education"},signatures:"Ignasia Mligo",authors:[{id:"212055",title:"Dr.",name:"Ignasia",middleName:null,surname:"Mligo",slug:"ignasia-mligo",fullName:"Ignasia Mligo"}]}],mostDownloadedChaptersLast30Days:[{id:"57686",title:"Children and Young People’s Vulnerabilities to Grooming",slug:"children-and-young-people-s-vulnerabilities-to-grooming",totalDownloads:2217,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"Child abuse is evolving, pervasive and complex and children are vulnerable to its widespread reach in many aspects of their lives, from face-to-face interactions to those they have online. This chapter aims to review contemporary literature which outlines the vulnerabilities of children to face-to-face and online grooming as part of a process leading to child abuse and exploitation. The chapter will undertake a review of literature on two aspects of grooming: child sexual exploitation (CSE) and radicalisation. It will draw on contemporary case examples to illustrate grooming drawn from UK Serious Case Reviews (SCR) on CSE and, on radicalisation, the case of the three girls from Bethnal Green who were groomed for travel to Syria. It will then reflect on the push and pull factors of grooming to highlight the similarities between CSE and radicalisation. Moving on, the chapter will then consider how and if interactive social media simulations, linked to an innovative, preventative educational approach and designed with reference to Vygotsky’s social construction theory, have the potential to educate young people to help protect them from being groomed. The chapter will then make reference to the findings of a small pilot study which evaluated the use of this approach with young people.",book:{id:"6327",slug:"contemporary-perspective-on-child-psychology-and-education",title:"Contemporary Perspective on Child Psychology and Education",fullTitle:"Contemporary Perspective on Child Psychology and Education"},signatures:"Jane Reeves, Emma Soutar, Sally Green and Tracy Crowther",authors:[{id:"211328",title:"Prof.",name:"Jane",middleName:null,surname:"Reeves",slug:"jane-reeves",fullName:"Jane Reeves"},{id:"211838",title:"Dr.",name:"Tracy",middleName:null,surname:"Crowther",slug:"tracy-crowther",fullName:"Tracy Crowther"},{id:"211839",title:"Mrs.",name:"Emma",middleName:null,surname:"Soutar",slug:"emma-soutar",fullName:"Emma Soutar"},{id:"211840",title:"Mrs.",name:"Sally",middleName:null,surname:"Green",slug:"sally-green",fullName:"Sally Green"}]},{id:"68639",title:"Social Media and Young People’s Mental Health",slug:"social-media-and-young-people-s-mental-health",totalDownloads:2070,totalCrossrefCites:1,totalDimensionsCites:3,abstract:"Evidence suggests that social media can impact detrimentally on children and young people’s mental health. At the same time, social media use can be beneficial and have positive effects. This chapter outlines the detrimental and positive effects of social media use for young people. Schools play a critical role in educating young people about how to use social media safely and responsibly. However, schools cannot address all the issues and parents, social media and advertising companies also have a responsibility to protect children and young people from harm. This chapter outlines some of the potential solutions to the issues that are identified.",book:{id:"7927",slug:"selected-topics-in-child-and-adolescent-mental-health",title:"Selected Topics in Child and Adolescent Mental Health",fullTitle:"Selected Topics in Child and Adolescent Mental Health"},signatures:"Jonathan Glazzard and Samuel Stones",authors:[{id:"294281",title:"Prof.",name:"Jonathan",middleName:null,surname:"Glazzard",slug:"jonathan-glazzard",fullName:"Jonathan Glazzard"},{id:"309587",title:"Mr.",name:"Samuel",middleName:"Oliver James",surname:"Stones",slug:"samuel-stones",fullName:"Samuel Stones"}]},{id:"57391",title:"Influence of Parental Divorce on Anxiety Level of Adolescents",slug:"influence-of-parental-divorce-on-anxiety-level-of-adolescents",totalDownloads:1860,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"Family divorce might have an effect on some aspects of child development. Adolescence as a transitional stage is marked by process of seeking identity, the need for intimate relationship, as well as the struggle for psychological independence from family. Anxiety is defined as a state of extreme worry, fear, and uncertainty which results from the expectation of a threatening event or situation. The aims of study are: to explore the differences in anxiety levels among adolescents from divorced and intact families; to explore the level of anxiety of adolescents from divorced and intact families with respect to their genders. A demographic questionnaire was created and The Beck Anxiety Inventory was applied to measure anxiety. The scale was applied with 162 participants who were chosen randomly from 5 different high schools in Istanbul province. The study found out that there are statistically significant differences in anxiety level of adolescents between children from divorced and intact families. Descriptive measures are in range as follows: (17.67 ± 9.645). The adolescents from divorced families had a higher level of anxiety (t = 17.322; p < .05). The result related to the second study aim shows that there are no statistically significant differences in anxiety between male and female adolescents from divorced and intact families (p > .05).",book:{id:"6327",slug:"contemporary-perspective-on-child-psychology-and-education",title:"Contemporary Perspective on Child Psychology and Education",fullTitle:"Contemporary Perspective on Child Psychology and Education"},signatures:"Senija Tahirović and Gokce Demir",authors:[{id:"214445",title:"Dr.",name:"Senija",middleName:null,surname:"Tahirovic",slug:"senija-tahirovic",fullName:"Senija Tahirovic"},{id:"214465",title:"MSc.",name:"Gokce",middleName:null,surname:"Demir",slug:"gokce-demir",fullName:"Gokce Demir"}]},{id:"57167",title:"The Early Childhood Educators’ Attitudes Towards Innovative Instructional Applications about Digital Learning Activities for Young Children",slug:"the-early-childhood-educators-attitudes-towards-innovative-instructional-applications-about-digital-",totalDownloads:1179,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The innovative value and practices of digital learning activities assist early childhood educators in employing effective instruction to improve young children’s performance as well as advance their own professional autonomy to implement digital learning activities for young children. This study examined the factors and relationships about early childhood educators’ attitudes towards the integration and behavioral intention of digital learning tools into young children’s innovative pedagogical activities using a questionnaire survey. The questionnaire consisted of five factors, including digital innovative value (DIV), digital innovative practices (DIP), perception of instructional use (PIU), instructional professional autonomy (IPA), and behavioral intention to use (BIU). The researcher used structural equation modeling to analyze the survey data. The results showed that early childhood educators’ perceptions about innovative value and applications of digital learning activities play a key role in the success of young children’s performance and competence in preschool. The early childhood educators with positive attitudes towards the innovative consideration and practical instructional applications of digital learning activities had more behavioral intention to plan and design instructional activities with innovative applications of digital learning tools.",book:{id:"6327",slug:"contemporary-perspective-on-child-psychology-and-education",title:"Contemporary Perspective on Child Psychology and Education",fullTitle:"Contemporary Perspective on Child Psychology and Education"},signatures:"Ru-Si Chen",authors:[{id:"211677",title:"Prof.",name:"Ru-Si",middleName:null,surname:"Chen",slug:"ru-si-chen",fullName:"Ru-Si Chen"}]},{id:"57680",title:"Thinking and Learning Demands in Contemporary Childhood",slug:"thinking-and-learning-demands-in-contemporary-childhood",totalDownloads:1454,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Is today’s childhood is the same as the past’s? Frankly speaking, we cannot answer this question as a clear yes. It is obvious that children today are more into tablet computers, social networks and online games than traditional child games. Besides, our communication styles have been changed significantly for the past years. We, no longer need to meet others face to face to ask for help or to chat. Artificial intelligence, machine learning and robots are another story of the contemporary world. Robots capable of perceiving their surroundings and making decisions have started to deprive many people of their jobs. But what kind of jobs will human beings perform? The increasing emphasis on innovation, cooperation, critical thinking, being creative, problem solving, communication skills and project management is an indicator of what kind of a business world will today’s children meet in the future. This on-going trend also includes clues about how should children be educated. This study is focusing on thinking and learning demands expected contemporary children to meet. Throughout the chapter, the changing world was depicted briefly and then demands of the contemporary age on critical thinking, creative thinking, problem solving and learning were explored respectively.",book:{id:"6327",slug:"contemporary-perspective-on-child-psychology-and-education",title:"Contemporary Perspective on Child Psychology and Education",fullTitle:"Contemporary Perspective on Child Psychology and Education"},signatures:"Cenk Akbiyik",authors:[{id:"212205",title:"Associate Prof.",name:"Cenk",middleName:null,surname:"Akbiyik",slug:"cenk-akbiyik",fullName:"Cenk Akbiyik"}]}],onlineFirstChaptersFilter:{topicId:"1390",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:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:287,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:10,numberOfPublishedChapters:103,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:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:10,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. 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A viral disease can be defined as an infectious disease that has recently appeared within a population or exists in nature with the rapid expansion of incident or geographic range. 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Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. 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Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},subseries:[{id:"14",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). 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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.",annualVolume:11410,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"79367",title:"Dr.",name:"Ana Isabel",middleName:null,surname:"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",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",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"}}}]},{id:"15",title:"Chemical Biology",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. 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Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. 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Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",annualVolume:11414,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null,editorialBoard:[{id:"72288",title:"Dr.",name:"Arli Aditya",middleName:null,surname:"Parikesit",fullName:"Arli Aditya Parikesit",profilePictureURL:"https://mts.intechopen.com/storage/users/72288/images/system/72288.jpg",institutionString:null,institution:{name:"Indonesia International Institute for Life Sciences",institutionURL:null,country:{name:"Indonesia"}}},{id:"40928",title:"Dr.",name:"Cesar",middleName:null,surname:"Lopez-Camarillo",fullName:"Cesar Lopez-Camarillo",profilePictureURL:"https://mts.intechopen.com/storage/users/40928/images/3884_n.png",institutionString:null,institution:{name:"Universidad Autónoma de la Ciudad de México",institutionURL:null,country:{name:"Mexico"}}},{id:"81926",title:"Dr.",name:"Shymaa",middleName:null,surname:"Enany",fullName:"Shymaa Enany",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRqB9QAK/Profile_Picture_1626163237970",institutionString:null,institution:{name:"Suez Canal University",institutionURL:null,country:{name:"Egypt"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"profile.detail",path:"/profiles/331470",hash:"",query:{},params:{id:"331470"},fullPath:"/profiles/331470",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()