Predicted disorder regions of replication proteins.
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Barely three months into the new year and we are happy to announce a monumental milestone reached - 150 million downloads.
\n\nThis achievement solidifies IntechOpen’s place as a pioneer in Open Access publishing and the home to some of the most relevant scientific research available through Open Access.
\n\nWe are so proud to have worked with so many bright minds throughout the years who have helped us spread knowledge through the power of Open Access and we look forward to continuing to support some of the greatest thinkers of our day.
\n\nThank you for making IntechOpen your place of learning, sharing, and discovery, and here’s to 150 million more!
\n\n\n\n\n'}],latestNews:[{slug:"intechopen-supports-asapbio-s-new-initiative-publish-your-reviews-20220729",title:"IntechOpen Supports ASAPbio’s New Initiative Publish Your Reviews"},{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"}]},book:{item:{type:"book",id:"1011",leadTitle:null,fullTitle:"International Perspectives on Global Environmental Change",title:"International Perspectives on Global Environmental Change",subtitle:null,reviewType:"peer-reviewed",abstract:"Environmental change is increasingly considered a critical topic for researchers across multiple disciplines, as well as policy makers throughout the world. Mounting evidence shows that environments in every part of the globe are undergoing tremendous human-induced change. Population growth, urbanization and the expansion of the global economy are putting increasing pressure on ecosystems around the planet. To understand the causes and consequences of environmental change, the contributors to this book employ spatial and non-spatial data, diverse theoretical perspectives and cutting edge research tools such as GIS, remote sensing and other relevant technologies.\nInternational Perspectives on Global Environmental Change brings together research from around the world to explore the complexities of contemporary, and historical environmental change. As an InTech open source publication current and cutting edge research methodologies and research results are quickly published for the academic policy-making communities.\nDimensions of environmental change explored in this volume include:\n\nClimate change\nHistorical environmental change\nBiological responses to environmental change\nLand use and land cover change\nPolicy and management for environmental change",isbn:null,printIsbn:"978-953-307-815-1",pdfIsbn:"978-953-51-4366-6",doi:"10.5772/1518",price:139,priceEur:155,priceUsd:179,slug:"international-perspectives-on-global-environmental-change",numberOfPages:490,isOpenForSubmission:!1,isInWos:1,isInBkci:!0,hash:"aaa208c16030078cdca711a1867ca7ff",bookSignature:"Stephen S. Young and Steven E. 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His recent work has centered on environmental change in NE North America, the mapping of lands vulnerable to sea level rise, and nature conservation in China. Dr. Young’s research has appeared in journals such as: Biological Conservation, Biotropica, Forest Ecology & Management, International Journal of Remote Sensing, Photogrammetric Engineering & Remote Sensing, International Journal of Applied Geospatial Research, Mountain Research and Development, and Vegetation. He received his Ph.D. in geography from Clark University, a master’s degree in environmental science from Yale University and a B.A. in environmental studies from the University of Vermont. In addition to his environmental research, he bridges the arts and sciences through art gallery exhibitions which expose the public to science and geography. His exhibition, The Earth Exposed, has been displayed in over a dozen galleries including the headquarters of the National Science Foundation as well as being displayed in Australia and Tunisia.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Salem State University",institutionURL:null,country:{name:"United States of America"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:{id:"120857",title:"Dr.",name:"Steven",middleName:null,surname:"Silvern",slug:"steven-silvern",fullName:"Steven Silvern",profilePictureURL:"https://mts.intechopen.com/storage/users/120857/images/3878_n.jpg",biography:"Dr. Steven Silvern is an Associate Professor of Geography at Salem State University where his teaching. His research interests focus on indigenous peoples, environmental sustainability, and sustainable food systems in the United States and the Middle East. 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Intrinsically disordered proteins (IDPs) are proteins that lack stable tertiary conformation (3D structure) under physiological conditions and are biologically active in their unstructured form. IDPs are disordered either along their entire lengths, but more often they are disordered only in localized regions, intrinsically disordered regions (IDRs).
\n\t\t\tIDRs often undergo transitions to more ordered states after binding to their targets and adopt a fixed three dimensional structures. Folding transition enables specificity without excessive binding strength. Important characteristic of IDRs is multispecificity. One IDR is able to bind multiple targets (multispecific recognition) because it can adopt different conformations upon interaction with different binding partners [1]. IDPs are able to simultaneously bind their partners, which enable the assembly of large complexes. An additional functional advantage of IDPs is increased speed of the interaction due to greater capture radius and larger interaction surfaces.
\n\t\t\tThe level of IDPs is tightly regulated in a cell and diverse post-translational modifications facilitate regulation of their function [2].
\n\t\t\tIDRs with multispecific recognition capabilities are especially important for the complex recognition processes. Therefore, IDRs are particularly enriched in proteins implicated in cell signalling. It is known that the majority of transcription factors and proteins involved in signal transduction contain long disordered segments [3]. How about IDPs in replication process? The analysis of the yeast proteome showed that IDPs are often located in the cell nucleus [4]. In addition, IDRs are abundant in DNA-binding proteins and many replication and recombination proteins are DNA-binding proteins. Many IDPs are involved in recognition and regulation pathways, because interactions with multiple partner molecules and high-specificity/low-affinity interactions are extremely important in these pathways. Additional interesting feature of IDRs is that they are very sensitive to the environment (Subchapter 4.2.). Summarizing these findings, a high level of protein disorder is to be expected in processes that take place in the cell nucleus and the highest level of disorder is expected in processes involved in responses to environmental changes. Therefore it is expected that in the nucleus, transcription is a process with the highest level of IDPs. Recombination and repair processes are also expected to have many IDPs; however, these processes are tightly linked to DNA replication and many proteins are used by all three processes. DNA replication is a process that proceeds by a precise program with a defined temporal order. The structural and functional properties of IDPs indicate that a disordered structure is likely present to a lesser extent in DNA replication process. Because of the need for responsiveness to the environment, the initiation of DNA replication should engage more IDPs than the elongation of DNA replication. It is expected that the majority of IDPs in these processes are regulatory proteins.
\n\t\t\tIn this chapter, the binding mechanism of IDRs, the level of IDRs in replication and recombination proteins, and the role of IDPs in replication and recombination processes are discussed.
\n\t\tIDPs contain one or more long intrinsically disordered regions (IDRs) or they are disordered along their entire lengths. Structural disorder can span from short stretches, through long regions, to entire proteins [5]. The majority of IDRs is not fully disordered, but contains some secondary structure and sometimes even partial tertiary structure. IDRs are dynamic fluctuating systems that exist as structural ensembles of rapidly interconverting alternative conformations and perform their biological functions in a highly dynamic disordered state; however, they often have more compact configurations than simply a random coil and contain sites of molecular recognition [6]. The structure of IDPs is similar to a molten globule or pre-molten globule, which preserve the main elements of the native secondary structure and the approximate positions of the folded state, while the loops and ends are flexible. Structural flexibility is a major feature and a major functional advantage of these proteins. IDRs are rich in binding sites for various partners and these binding sites mean that many IDPs with flexible structure are polyfunctional proteins.
\n\t\t\tThe disordered structure gives IDPs specific properties. They need no stable conformation to remain functional; therefore, they are more robust to different changes. Contrary to globular proteins, IDPs are stable at extreme temperatures and extreme pHs [7]. Increases and decreases in temperature or pH can even induce partial folding of IDPs. It has been shown that IDPs partially fold at extreme pH due to minimization of their large net charge present at neutral pH. An increase in temperature can also induce the partial folding of IDPs; in addition, they are resistant to freeze-thaw treatment [8].
\n\t\t\tIDPs have a specific AA composition that differs from the AA composition of ordered proteins. In particular, IDPs are depleted in hydrophobic (Ile, Leu, Val) and aromatic AA (Trp, Tyr, Phe) that stabilize the structure of folded proteins, while they are enriched in hydrophilic and charged AAs. The charge/hydropathy (C/H) ratio has been suggested to govern the degree of compaction in IDPs [9]. The combination of low hydrophobicity and high net charge represents an important prerequisite for the disordered structure under physiological conditions.
\n\t\t\tIDPs are more abundant in eukaryotes than in archaea and prokaryotes, while multicellular eukaryotes have much more predicted disorder than unicellular eukaryotes [4,10]. IDPs play an important role in complex organisms by participating in recognition and in various signalling and regulatory pathways.
\n\t\t\t\tIDRs show higher robustness against mutations [11], presumably because changes in protein sequence do not affect protein stability and function as severely. IDRs are more tolerant of mutations than structured proteins. It was found that flexible proteins exhibiting functional promiscuity are the foundation stones of protein evolvability [12]. They are able to accumulate a large number of mutations and thereby facilitate adaptation. Structural disorder seems to enable the rapid appearance of novel, \'less-evolved\' proteins [13]. It has been shown that in alternative splicing both alternative proteins have high disorders, because the chance is very low that dual coding would result in two sequences that are both capable of folding into well-defined, functional, 3D structures [14].
\n\t\t\tIDPs bind to their molecular partners and perform their biological functions by regulation of the function of their binding partners or by promotion the assembly of multi-molecular complexes. One IDR is able to bind many different partners because of its flexible structure; on the other hand, some IDRs do not bind to any partner, but they provide flexible linkers between domains that maintain constant motion during functioning or they provide flexible tails that regulate the structured domains [7,15].
\n\t\t\tIDPs have functionally relevant characteristics:
\n\t\t\tThey frequently fold up upon binding to their biological targets [16]. The interaction of a disordered protein with a structured partner, very often induces a disorder-to-order transition thereby forming stable structures, enabling high-specificity-low-affinity interactions [17,18].
They have possibility of overlapping binding sites (binding diversity) due to extended linear conformation [19]. Structural flexibility of IDPs enables their interactions with numerous biological targets.
IDRs enable a very large accessible surface area [20]. Greater capture radius and larger interaction surfaces enable increased speed of interactions [15].
IDPs undergo tighter regulation by post-translational modification as compared to structured proteins [2].
Molecular complexes with IDPs are diverse: the IDR may bind on the surface of the binding partner (Figure 1), by wrapping around the binding partner, or by penetrating deep inside the binding partner [21].
\n\t\t\t\tIntrinsically disordered protein forms complex with structured protein.
IDRs in complexes may control the degree of motion between domains, mask binding sites, enable transient binding of different binding partners, and be targets of post-translational modifications. IDPs are often involved in the binding of large partners or they are proteins involved in the binding of large number of small partners. In the latter case, they often function as scaffold proteins that enable the assembly of the relevant proteins into specific multi-molecular complexes and increase the efficiency of the interaction between partner molecules (Figure 2).
\n\t\t\t\tIntrinsically disordered proteins often function as scaffold proteins that enable assembling the relevant proteins into multi-molecular complexes.
The majority of intrinsically disorder-based complexes are ordered and relatively static due to disorder-to-order transitions; however, there are also dynamic complexes where IDRs go through an ensemble of rapidly interconverting conformations. Dynamic complexes do not involve significant ordering of the interacting protein segments but rely exclusively on transient contacts.
\n\t\t\tThe primary mechanism by which disorder is utilized in molecular interactions is that the same IDR may fold differently and bind to several structurally diverse partners. On the other hand, different IDRs with different AA sequences may use their flexibility to bind to the same protein partner [6,22]. Their associations are dynamic. The lack of structure of highly flexible IDRs enables more diverse functionality [23]. IDRs are ensembles of conformations and each individual conformation has a dynamic structure. The binding partner selects the most binding-compatible conformation from this ensemble to form a complex [21,15]. The equilibrium is thus shifted towards this interaction-prone member of the conformational ensemble.
\n\t\t\t\tModels of IDRs interaction processes:
\n\t\t\t\tThe \'binding and folding\' mechanism with disorder-to-order transition is the most accepted model for the binding of IDR, where a highly structured conformation is formed by binding to the partner molecule. A structured conformation is formed on binding IDR (the local disorder-to-order transition) or on the entire molecule of IDP (the global disorder-to-order transition) [25,26]. An IDR binds weakly at a relatively large distance followed by folding when the protein comes close to the binding site. One model utilizes a prediction that an IDR with an open structure has a larger binding surface and a greater capture radius for a specific binding site than the ordered protein and therefore the binding rate is significantly enhanced over the binding rate of the ordered proteins [21]. The binding induced disorder-to-order transition is accompanied by a dramatic decrease in accessible surface area and by the release of a large number of water molecules [6]. A large decrease in conformation entropy during this process enables highly specific but easily reversible interactions.
The \'polyelectrostatic\' model describes the interaction of highly charged IDR with several similar binding motifs and a folded partner with one binding site [27,28]. Multiple disordered binding motifs interact with the partner\'s folded binding site in a dynamic equilibrium. The flexibility of the IDR makes all binding motifs equally accessible. Weak affinities of the individual interactions permit their efficient exchange. In this model, the IDR generates an electrostatic field representing the cumulative electrostatic interaction of all charges in the IDR.
The \'multi-step interaction\' model describes the binding of an IDR that depends on the conformational selection of the structural ensemble via the pre-formed elements that dominate the ensemble [29]. When the IDP comes close to the binding site of the partner molecule, an encounter complex is formed that either proceeds towards the final complex or dissociates again. Electrostatic forces are the most important for encounter complex formation [30]. Interacting partners in the encounter complex affect the conformational landscapes of each other. Consecutive steps depend on the preceding steps and cooperation between protein partners. This process is called an interdependent protein dance [31,32]. The structural variability of complexes with IDPs can be considered a reflection of interdependent protein dynamics, where the structure of the complex is a result of coordinated mutual co-folding [21]. In such encounters \'pre-organized\' complexes, mainly non-specific electrostatic interactions are involved and multiple conformations and orientations are employed. In the \'multi-step interaction\' model, IDPs interacts with their partners by a biphasic process with a fast Phase I leading to the formation of disordered complexes and slower Phase II leading to the formation of ordered complexes. Phase II includes the \'Binding and folding\' model that may or may not (binding without folding) follow a Phase I [33]. \'Polyelectrostatic\' complexes are probably the stopped stages of encounter complexes [21].
It is the most likely that the IDR contains a conformational preference for the structure it will take upon binding.
\n\t\t\tThe level of IDPs inside the cell is precisely controlled. IDPs are more tightly regulated as compared to structured proteins. Obviously it is very important that they are available at the appropriate time and in the appropriate amount. The level of IDPs is controlled at the synthesis and clearance levels and their activity is further modulated via interaction with specific binding partners and post-translational modifications. IDRs are more solvent-accessible then folded regions and therefore suitable for diverse post-translational modifications, such as phosphorylation, sumoylation, ubiquitination, acetylation, etc. Such modification can change the electrostatic properties of IDRs and affect their affinity for charged molecules like DNA.
\n\t\t\t\tThe predicted intrinsic disorder is the strongest determinant of dosage sensitivity - proteins become harmful when they are overexpressed [34]. The likely cause of dosage sensitivity is the binding promiscuity of IDPs [11]. IDRs are prone to make promiscuous interactions when their concentration is increased; it has been demonstrated that this is a likely cause of pathology when genes are overexpressed [34].
\n\t\t\tThis chapter refers to the proteins of budding yeast
DNA replication and DNA recombination are central characteristics of life that cooperate to maintain biological inheritance and genomic integrity. Replication enables the formation of two identical DNA molecules from a single double-stranded DNA, while recombination enables accurate repair of errors that occur on both strands of DNA, as well as the formation of new combinations of genes. Both processes are tightly intertwined [35]. The recombination system plays a crucial role in DNA replication ensuring that the replication machines can complete their task of genome duplication. DNA replication forks stall or collapse at DNA lesions or problematic genomic regions. When replication forks collapse, recombination is the most important rescue mechanism. The recombination mechanism forms substrates for the assembly of a new replication fork thus allowing continued DNA replication. On the other hand, DNA synthesis is a crucial step during the recombination process. After Rad51-mediated DNA strand invasion, DNA synthesis is the next step in recombination to restore the integrity of the chromosome. Repair DNA synthesis during the recombination process is similar to normal S-phase replication, but has specific properties. Thus recombination is part of DNA replication and, vice versa, DNA synthesis is part of the recombination process.
\n\t\t\t\tClearly then, the replication process requires both, replication and recombination proteins, but then again so does the recombination process. This is why replication and recombination proteins are discussed within the same functional group.
\n\t\t\tThere are some facts to consider when predicting the level of IDPs in replication and recombination processes:
\n\t\t\t\tAn analysis of the yeast proteome showed that IDPs are often located in the cell nucleus [4]. IDRs are abundant in DNA-binding proteins, while many replication and recombination proteins are DNA-binding proteins. IDRs play a crucial role in DNA-binding proteins by increasing the affinity and specificity of DNA binding [36]. The ability of IDRs to interact with DNA is tightly linked to the high content of charged residues in IDRs; IDRs that bind to DNA are rich in positively charged residues and their positive charges are highly clustered.
Many IDPs are involved in recognition and regulation pathways, because interactions with multiple partner molecules and high-specificity/low-affinity interactions are extremely important in these pathways [2].
Interesting feature of IDRs is that they are very sensitive to the environment. Flexible IDPs more readily undergo conformational change in response to environmental perturbations than rigid proteins [37,38]. Due to flexible structure, their local and global structures can easily be shaped by their environment. High-specificity/low-affinity interactions with their partners enable extremely sensitive functioning of IDPs, which is favourable for responses to the environmental changes. In addition, the level of IDPs inside the cell is precisely controlled (Subchapter 3.4.) allowing rapid and accurate responses of the cell to changing environmental conditions. Higher and more regulated synthesis, higher degradation rates, and tightly regulated activity make the levels of IDPs very sensitive to the environment.
Summarizing these findings, a high level of protein disorder is to be expected in processes that take place in the cell nucleus, especially within regulatory proteins. The highest level of disorder is expected in processes involved in responses to environmental changes. According to those findings, in the nucleus, transcription should be the process with the highest level of IDPs. Recombination and repair processes are also expected to have many IDPs; however, these processes are tightly linked to DNA replication and many proteins are used by all these processes. DNA replication is a process that proceeds by a precise program with a defined temporal order. The structural and functional properties of IDPs indicate that a disordered structure is likely present to a lesser extent in DNA replication process. However, the initiation of DNA replication would be expected to engage more IDPs than the elongation of DNA replication due to the need for responsiveness to the environment (Figure 3). It is expected that the majority of IDPs in these processes are regulatory proteins.
\n\t\t\t\tProcesses in the nucleus: global prediction of protein disordered structure in the processes linked to DNA, considering responsiveness to changes in the environment.
Analysis of predicted IDRs within proteins that have a role in DNA replication was done (Table 1). The majority of them functions also in recombination and repair processes.
\n\t\t\t\tIt was found that proteins with the role in initiation of DNA replication have more predicted disordered structure (26%) than proteins with the role in elongation of DNA replication (20%). Difference is significant among proteins with very short IDRs; there is 35% proteins with the role in initiation of DNA replication that contain less than 10% disordered structure, while there is as much as 60% such proteins with the role in elongation of DNA replication. However, difference is tiny among proteins with very large IDRs; 22% proteins with the role in initiation of DNA replication contain more than 50% disordered structure and there is 20% such proteins with the role in elongation of DNA replication.
\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\t|||||
\n\t\t\t\t\t\t\t\tElongation of DNA replication\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t|||||
Pol2 | \n\t\t\t\t\t\t\t2222 | \n\t\t\t\t\t\t\t44, 77 | \n\t\t\t\t\t\t\t5.4 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t|
Dpb2 | \n\t\t\t\t\t\t\t689 | \n\t\t\t\t\t\t\t92-159 | \n\t\t\t\t\t\t\t67 | \n\t\t\t\t\t\t\t9.7 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t
Dpb3 | \n\t\t\t\t\t\t\t201 | \n\t\t\t\t\t\t\t105 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t|
Dpb4 | \n\t\t\t\t\t\t\t196 | \n\t\t\t\t\t\t\t26, 77 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t|
Pol3 | \n\t\t\t\t\t\t\t1097 | \n\t\t\t\t\t\t\t100 | \n\t\t\t\t\t\t\t9.1 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t|
Pol31 | \n\t\t\t\t\t\t\t487 | \n\t\t\t\t\t\t\t32 | \n\t\t\t\t\t\t\t6.6 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t|
Pol32 | \n\t\t\t\t\t\t\t350 | \n\t\t\t\t\t\t\t232 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t|
PCNA | \n\t\t\t\t\t\t\t258 | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t
Cdc9 | \n\t\t\t\t\t\t\t755 | \n\t\t\t\t\t\t\t144 | \n\t\t\t\t\t\t\t19.1 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t|
Rfa1 | \n\t\t\t\t\t\t\t621 | \n\t\t\t\t\t\t\t126-183 | \n\t\t\t\t\t\t\t57 | \n\t\t\t\t\t\t\t9.2 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t
Rfa2 | \n\t\t\t\t\t\t\t273 | \n\t\t\t\t\t\t\t39, 58 | \n\t\t\t\t\t\t\t35.5 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t|
Rfa3 | \n\t\t\t\t\t\t\t122 | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t
Rfc1 | \n\t\t\t\t\t\t\t861 | \n\t\t\t\t\t\t\t155, 66, 81 | \n\t\t\t\t\t\t\t35.1 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t|
Rfc2 | \n\t\t\t\t\t\t\t353 | \n\t\t\t\t\t\t\t25 | \n\t\t\t\t\t\t\t7.1 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t | |
Rfc3 | \n\t\t\t\t\t\t\t340 | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t |
\n\t\t\t\t\t\t\t\tInitiation of DNA replication\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t|||||
Pol1 | \n\t\t\t\t\t\t\t1468 | \n\t\t\t\t\t\t\t82-341 | \n\t\t\t\t\t\t\t259 | \n\t\t\t\t\t\t\t17.6 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t
Pol12 | \n\t\t\t\t\t\t\t705 | \n\t\t\t\t\t\t\t70-203 | \n\t\t\t\t\t\t\t133 | \n\t\t\t\t\t\t\t18.8 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t
Pri1 | \n\t\t\t\t\t\t\t409 | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t
Pri2 | \n\t\t\t\t\t\t\t528 | \n\t\t\t\t\t\t\t43 | \n\t\t\t\t\t\t\t8.1 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t|
Orc1 | \n\t\t\t\t\t\t\t914 | \n\t\t\t\t\t\t\t42, 233 | \n\t\t\t\t\t\t\t30.1 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t | |
Orc2 | \n\t\t\t\t\t\t\t620 | \n\t\t\t\t\t\t\t267 | \n\t\t\t\t\t\t\t43.1 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t | |
Orc3 | \n\t\t\t\t\t\t\t616 | \n\t\t\t\t\t\t\t40 | \n\t\t\t\t\t\t\t6.5 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t | |
Mcm2 | \n\t\t\t\t\t\t\t868 | \n\t\t\t\t\t\t\t68, 77 | \n\t\t\t\t\t\t\t16.7 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t|
Mcm3 | \n\t\t\t\t\t\t\t971 | \n\t\t\t\t\t\t\t742-897 | \n\t\t\t\t\t\t\t155 | \n\t\t\t\t\t\t\t16.0 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t
Mcm4 | \n\t\t\t\t\t\t\t933 | \n\t\t\t\t\t\t\t177 | \n\t\t\t\t\t\t\t19.0 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t|
Mcm10 | \n\t\t\t\t\t\t\t571 | \n\t\t\t\t\t\t\t41-154, | \n\t\t\t\t\t\t\t113, 233 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t |
Sld2 | \n\t\t\t\t\t\t\t453 | \n\t\t\t\t\t\t\t453 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t | |
Sld3 | \n\t\t\t\t\t\t\t668 | \n\t\t\t\t\t\t\t87-155, 292-335, | \n\t\t\t\t\t\t\t68, 43, 271 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t |
Sld5 | \n\t\t\t\t\t\t\t294 | \n\t\t\t\t\t\t\t17-45 | \n\t\t\t\t\t\t\t28 | \n\t\t\t\t\t\t\t9.5 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t |
Psf1 | \n\t\t\t\t\t\t\t208 | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t |
Psf2 | \n\t\t\t\t\t\t\t213 | \n\t\t\t\t\t\t\t18 | \n\t\t\t\t\t\t\t7.8 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t | |
Psf3 | \n\t\t\t\t\t\t\t194 | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t |
Dpb11 | \n\t\t\t\t\t\t\t764 | \n\t\t\t\t\t\t\t226-321, | \n\t\t\t\t\t\t\t95, 197 | \n\t\t\t\t\t\t\t38.2 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t
Cdt1 | \n\t\t\t\t\t\t\t604 | \n\t\t\t\t\t\t\t427-507 | \n\t\t\t\t\t\t\t80 | \n\t\t\t\t\t\t\t13.2 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t
Cdc6 | \n\t\t\t\t\t\t\t513 | \n\t\t\t\t\t\t\t61 | \n\t\t\t\t\t\t\t11.9 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t | |
Cdc7 | \n\t\t\t\t\t\t\t507 | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t
Dbf4 | \n\t\t\t\t\t\t\t704 | \n\t\t\t\t\t\t\t110, 341 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t|
Ecm11 | \n\t\t\t\t\t\t\t302 | \n\t\t\t\t\t\t\t183 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\tR | \n\t\t\t\t\t\t
Predicted disorder regions of replication proteins.
Data about proteins were obtained from
Server Disopred2 [40] was used for protein disorder prediction.
*Predicted disorder regions more than 30 AA long (more than 20 AA long for very small proteins).
R - proteins involved in recombination and repair processes;
Disordered regions at N- or C- terminus are underlined.
The majority (63%) of IDRs are at N- or C- terminus in proteins that have a role in DNA replication. Most often IDRs are at the N-terminus, in 44% of replication proteins; 19% of replication proteins have IDRs at the C-terminus.
\n\t\t\t\t\n\t\t\tPolymerase α is the only enzyme that can synthesize DNA de novo. It is required for initiation of chromosomal DNA replication during mitosis and meiosis, intragenic recombination, and repair of double stranded DNA breaks. Pol1, the catalytic subunit of polymerase α complex, has a lot of disordered structure in comparison to Pol3 and Pol2 (Table 1). This fact is consistent with the hypothesis concerning the expected average level of disordered structures, since Pol1 is required for the initiation of DNA replication and Pol3 and Pol2 are required for the elongation of DNA replication.
\n\t\t\t\t\tIt was shown that IDR of Pol1 interacts with Cdc13: Pol1 residues 13-392 [41] or Pol1 residues 47-560 [42]. Actually, a short fragment of Pol1 consisting only of residues 215-250 is necessary and sufficient for binding with Cdc13. This disordered region of Pol1 becomes well ordered, folded into a single amphipathic α-helix, when it is in complex with Cdc13, as evidenced by good electron density in the crystals [43]. The interaction between IDR of Pol1 and Cdc13 is primarily mediated by a highly positively charged groove of Cdc13 and a negatively charged acidic convex surface of Pol1. These two surfaces are not only opposite in charge distribution but also complementary in shape.
\n\t\t\t\tDNA polymerase δ is a major replicative DNA polymerase and is primarily required for the lagging strand synthesis. It is a heterotrimeric complex composed of the catalytic subunit Pol3, the structural subunit Pol31, and an additional auxiliary subunit Pol32. Pol32 is highly disordered protein (Figure 4). While structured Pol3 and Pol31 are essential for viability, the disordered Pol32 is not essential. Pol3 and Pol31 are highly conserved in eukaryotes; on the other hand, the disordered Pol32 shows an extreme divergence in its AA sequence [44]. Hydrodynamic studies of polymerase δ have shown an unusually high Stokes radius [45]. This deviation from globularity may be due to the disordered structure of Pol32.
\n\t\t\t\t\t\n\t\t\t\t\tPol32 is bound to Pol3 through Pol31. The C-terminus of Pol3 interacts with the conserved region of Pol31 [46]. Deletion of the last four C-terminal AAs of Pol3, which are required for the interaction between the Pol3 and Pol31, does not affect DNA replication but leads to defects in homologous recombination and in break-induced replication repair pathways. Deletion of Pol32 leads to signs of DNA replication defects and DNA repair defects, with increased sensitivity to ultraviolet (UV) radiation and methylation damage [47].
\n\t\t\t\t\tPol32 binds to Pol31 by the N-terminus (92 AA) and to PCNA by the C-terminus [48]. The structured N-terminus of Pol32, which enables binding to Pol3 through Pol31, is essential for damage-induced mutagenesis. Highly disordered C-terminus of Pol32 interacts with the C-terminus of PCNA during DNA synthesis. Although the C-terminus of Pol32 is highly disordered, there is one motif that is highly conserved in this region: the consensus PCNA-binding motif 338-QGTLESFFKRKAK-350 (conserved amino acids in bold).
\n\t\t\t\t\tPredicted disordered regions of Pol32 (Disopred2).
It has also been shown that Pol32 interacts also with Pol1 that is a part of polymerase α, suggesting that Pol δ and Pol α interact
For the replication of the lagging strand where the polymerase must dissociate from the DNA after extension of each Okazaki fragment, Polδ utilizes a collision-release mechanism where the Polδ is released from PCNA. Polδ exhibits a very high processivity in synthesizing DNA with the PCNA sliding clamp. It has been shown that the N-terminal region of Pol3 interacts with PCNA, and that this interaction increases Pol3 processivity [49]. The N-terminal of Pol3 is predicted to be highly disordered (Table 1). Pol31 and Pol32 also have binding sites for PCNA and all three subunits contribute to PCNA-stimulated DNA synthesis by Polδ [50].
\n\t\t\t\tDNA polymerase ε is primarily required for the leading strand synthesizes. Pol2 is the catalytic subunit of the polymerase ε complex. It has been shown that the highly structured C-terminus of Pol2 is essential for DNA replication [51].
\n\t\t\t\t\tDpb3 and Dpb4 are nonessential small subunits of the DNA polymerase ε complex, which have a histone fold. Both Dpb3 and Dpb4 are highly disordered. They form a subassembly that interacts with histones and functions in transcriptional silencing caused by chromatin structures [52].
\n\t\t\t\tThe complex Cdc7–Dbf4, also known as Dbf4-dependent kinase (DDK), has a role at eukaryotic origins of replication. DDK is required for origin firing and replication fork progression in mitotic S phase, for pre-meiotic DNA replication, meiotic double strand break formation, recruitment of the monopolin complex to kinetochores during meiosis I and as a gene-specific regulator of the meiosis-specific transcription factor Ndt80p. DDK is a Ser/Thr kinase whose activity depends on the association of the Cdc7 catalytic subunit with a regulatory subunit Dbf4. The level of Dbf4 is changes during the cell cycle and is the highest during metaphase I [53]. Both subunits Cdc7 and Dbf4 are essential for growth.
\n\t\t\t\tPredicted disordered regions of Dbf4 (Disopred2).
Predicted disordered regions of Cdc7 (Disopred2).
As expected, the regulatory subunit Dbf4 is highly disordered (Figure 5), while catalytic subunit Cdc7 is a highly structured protein (Figure 6).
\n\t\t\t\tDbf4 is a highly disordered protein with a disordered N-terminus (110 AA) and an IDR that is half the length of the protein at the C-terminus; it has only a 200 AA long structural region between both IDRs (Figure 5). It was shown that highly disordered C-terminus of Dbf4 has a role in response to mutation by HU and that it is required in meiosis [54]. Superfamily assignments [55] show no confident structure prediction for Dbf4, while Cdc7 has a predicted cyclin-dependent protein kinase function at 1-304 AA with protein, ATP, and DNA binding activity. Cdc7 has well conserved subdomains (30-195, 275-348, 438-465) found in the eukaryotic protein kinase superfamily, while Dbf4 contains only three short conserved regions, termed N (135-179), M (260-309), and C (659-696) [56]. Two of the three conserved regions (N and M) are found in the the structural region of Dbf4.
\n\t\t\t\t\n\t\t\t\tDDK phosphorylates the Mcm2-7 helicase, and is probably required for helicase activation or for recruitment of pre-IC factors. DDK preferentially phosphorylates the MCM complexes that are most tightly linked to the DNA [57]. Dbf4 associates with origins in an ORC-dependent manner [58]. The pre-RC components Mcm2, Mcm4, Orc2, and Orc3 have each been identified as binding partners for Dbf4 [59,60,61]. The N-terminal half of Dbf4 is critical for recruitment of DDK to the origin. The highly disordered C-terminal half of Dbf4 is required to bind the Cdc7 kinase [58]; more precisely, region 573-695 is required for interaction with Cdc7, while the structured region of Dbf4 (110-296) is required for binding the Mcm2–7 complex [60].
\n\t\t\t\tDuring the replication checkpoint response, Dbf4 is phosphorylated by checkpoint kinase Rad53 allowing inhibition of initiation of replication at late origins. Checkpoint control during S-phase slows the rate of DNA replication in response to DNA damage and blocks the replication fork. This regulation is achieved through the Rad53 kinase-dependent block of late origins of replication [62]. Dbf4 has been shown to be phosphorylated in a Rad53-dependent manner in response to replication stress, which correlates with a reduced DDK activity [63]. It was shown that mutations at predicted Rad53 phosphorylation sites (Ser84, Ser235, Ser377, Thr467, Thr506, Ser507, and Thr551) contribute to bypassing such control [64].
\n\t\t\t\t\tThe conserved region N of Dbf4 (66-221) is necessary for the interaction of Cdc7-Dbf4 with the checkpoint kinase Rad53. The core of this binding region folds as a BRCT domain; in addition, it includes an additional N-terminal helix unique to Dbf4 that is essential for the interaction with Rad53 [65]. This unique N-terminal part of the conserved region N is predicted to be an IDR (Figure 6) and probably becomes helix-structured after binding with Rad53.
\n\t\t\t\tDDK is required for replication, recombination and segregation events during meiosis in yeast. It has been shown that in addition to the initiation of DNA replication, DDK has an important role in the initiation of meiotic recombination [66]. DDK phosphorylates the double strand break protein Mer2 and facilitates meiotic recombination [67]. CDK-S and DDK function sequentially phosphorylate Mer2 on adjacent serines, Ser30 and Ser29, allowing formation of meiotic double strand breaks.
\n\t\t\t\t\tDDK plays a role in meiotic segregation. DDK allows expression of
DDK is also necessary for recruitment of monopolin Mam1 to sister kinetochores, which is required for mono-orientation of sister kinetochores in the reductional segregation occurring during meiosis I.
\n\t\t\t\t\tThe use of the same Cdc7-Dbf4 complex to regulate many distinct meiosis-specific processes could be important for the coordination of these processes during meiosis [68]. DDK is a link between DNA replication, recombination and mono-orientation during meiosis I in budding yeast [70]. In addition to the unifying role in meiosis, DDK has a role in initiation of replication during mitosis and in checkpoint control. Highly flexible structure of Dbf4 is very likely crucial for such a complex role of DDK.
\n\t\t\t\tEcm11 is a protein with a strong meiotic phenotype; it affects meiotic DNA synthesis and recombination [71]. Homozygous deletion of the
Predicted disordered regions of Ecm11 (Disopred2).
Ecm11 is highly disordered protein; 2/3 of Ecm11 is unstructured (Table 1). Ecm11 has 302 mostly hydrophilic AA as expected for IDP (Subchapter 2.1.). IDR of 183 AA is located at the N-terminal end of Ecm11 (Figure 7). The C-terminal end is predicted to be mostly helical and contain coiled-coil motif at the very C-terminus. Superfamiliy assignments [55] show no confident structure prediction for Ecm11.
\n\t\t\t\t\n\t\t\t\tIt was showed that
It was showed that
Deletion of the
In the two-hybrid screen it was found out that Ecm11 strongly interacts with Cdc6 that has a pivotal role in the initiation of DNA replication [72]. Genetic interactions between Cdc6 and Ecm11 were also observed. Moderate supression of
IDPs are tightly regulated in a cell and diverse post-translational modifications (such as ubiquitination, sumoylation, and phosphorylation) facilitate regulation of their function (Subchapter 3.4.). It was shown that the majority of Ecm11 protein in the cell is sumoylated during meiosis [73]. Lys5 at the highly disordered N-terminus of Ecm11 is modified by SUMO. It was shown that sumoylation is essential for biological role of Ecm11 in meiosis and that sumoylation directly regulates Ecm11 function in meiosis.
\n\t\t\t\tCell nuclei contain high levels of IDPs. In this work, a hypothesis has been made, that in the nucleus, transcription is a process with the highest level of IDPs and that a disordered structure is likely present to a lesser extent in DNA replication process. However, the initiation of DNA replication would be expected to engage more IDPs than the elongation of DNA replication due to the need for responsiveness to the environment. By analysis of predicted disordered structure in replication proteins, it was confirmed that proteins with the role in initiation of DNA replication have more disordered structure than proteins with the role in elongation of DNA replication. The majority of IDRs in these proteins are at N- or C- terminus, most often IDRs are at the N-terminus of IDPs.
\n\t\tDrago Cerjan provided help with figures.
\n\t\t\tFinancial support was received from the Slovenian Research Agency, Grant P1-0104.
\n\t\tMathematics is measured to be a difficult subject due to its abstract nature. The difficulty of learning mathematics is a worldwide issue. It is a very important and necessary subject in school education caused by its linkage to everyday human life. Therefore it is taught as a fundamental subject in schools all over the world and positioned as an important subject in the school curriculum. Mainly in mathematics and science, many students believe that it takes inherent ability or even brilliance to achieve well, rather than perseverance, good strategies, help from others, and learning over time [1]. As a result, it has always been given special attention in school education globally. Although the expected outcomes in mathematics could not be achieved to date and the students’ negative attitude towards learning mathematics also could not be reduced [2]. For many years, it was believed that the numerical cognition of the children could be developed according to the child development and the learners can be taught effectively using Piaget’s child developmental stages [3]. The focus of Piaget’s philosophy was that the child understands space, time and causality of number and quantity and classes and relations of invariance and change [4].
In recent times, however, the researchers are focusing increasingly on the causes of mathematical learning difficulties as the procedural as well as neurobiological foundations of the learner [5]. Mathematics is conceived as a product of human activities in the process of adapting to the external environment [4]. The precise acquisition of mathematical abilities involves a broad range of different general cognitive skills including auditory and visual working memory, pattern recognition, speed of information processing, spatial perception, and attention [6]. These skills enable students to perform different mathematical activities and performance. Among them, working memory is a strong predictor of mathematical skills across time, achievement or achievement growth in mathematics [7]. It helps to perform fast and accurate arithmetical calculations in adolescence and adulthood [8]. Researchers have generally agreed that the deficit in working memory, brain-related condition, genetic cause, environment, and brain difference is considered dyscalculia [9]. These deficits affect the learners’ mathematical learning capability particularly computation and reasoning [10]. Such problems of the learner gradually tend to create frustration to learn mathematical problems regarding computation and application [11]. The objectives of this chapter are to state mathematics learning components, concepts and meaning of dyscalculia, types, causes, areas of common difficulties in mathematics for dyscalculic children, impact of dyscalculia in mathematics learning, effective ways of content delivery and student support.
Mathematics is a very essential and important subject that encompasses numbers, measurement, probability, and algorithms [12]. It cannot be separated from the particular cognitive processes in operation whenever we apply our minds to a mathematical task [5]. It is sometimes expressed as a difficult subject that is inaccessible, boring, particularly for cool and engaged people and girls [13]. Mathematics is considered an integral part of our everyday life. It is used in daily activities such as cooking, shopping, playing, arranging something, etc. Ziegler and Loos [14] stated that mathematics was developed from counting, calculation, measurement and the systematic study of the shapes and motions of physical objects. Historically, it was regarded as the science of quantity, or numbers. Thus, mathematics learning is essential for each person to continue their daily life too. Mathematics learning requires three equally important hierarchical components that can help to transform the mathematical concepts, ideas and knowledge effectively. The brief accounts of these components are as follows:
Language component: It is the first component in learning mathematics. Language is a key component used to describe mathematical terms, notations, concepts, ideas and procedures to develop mathematical knowledge and understanding. It is also used in conceptualizing and communicating mathematical information. Mathematics learning starts from counting physical objects and gradually forward with concepts of quantity, size and comparisons. Language continues to help students move from concrete mathematical skills based on physical objects to a more symbolic mathematics ability focused on numerals [15]. Language is useful for the teacher to address and transfer the mathematical concepts, problems and procedures to the learner more clearly.
Conceptual component: The second component of learning mathematics is the conceptual component. It refers to an understanding of the actual meaning and intends to increase literacy in mathematics rather than stepwise teaching to find the solutions. It focuses on explaining the processes (why) rather than performing the process (how). Conceptual learning begins in early childhood by using different effective methods, modern tools and techniques. Conceptual learning makes the students able to transfer their knowledge to new situations and contexts effectively. Thus it is essential for success not only in mathematics but in all disciplines and in the workplace.
Procedural component: This component refers to the ability to apply procedures accurately, efficiently and flexibly; to transfer procedures to different problems and contexts; to build or modify procedures from other procedures; and to recognize when one strategy or procedure is more appropriate to apply than another [16]. It is more than memorizing facts or procedures. The procedural component can be used effectively when the conceptual proficiency is high. Fluency of the procedural component builds on a foundation of conceptual understanding, strategic reasoning, and problem-solving [16].
Dyscalculia is a specific learning difficulty that affects the learner’s ability to retain mathematics skills related to calculating numbers, not with every branch of mathematics [2]. Dyscalculia is an umbrella term used to represent diverse conditions that cause specific difficulties with mathematics such as developmental dyscalculia, mathematical disability, numerical learning disability, and number fact disorder among other terms [17]. Thus developmental dyscalculia is an inborn condition that affects the ability of the learner to acquire arithmetical skills. However, dyscalculia may be caused by accidental brain damage (acquired dyscalculia).
The word ‘dyscalculia’ has both Greek and Latin origins. The Greek prefix ‘dys’ means ‘badly’, while ‘calculia’, from the Latin ‘calculare’, means to count [10]. The term dyscalculia or developmental dyscalculia was first defined by the Czechoslovakian researcher Kosc in 1974 [18], as difficulty in mathematics as a result of impairment to particular parts of the brain involved in mathematical cognition, but without a general difficulty in cognitive function. In other words, dyscalculia is also known as ‘difficulty with numbers’, ‘being bad at mathematics’, or ‘number blindness’. It is not the only difficulty with numbers but a more deeply-rooted problem than just being bad at mathematics [9]. As stated by Hornigold [9], the dyscalculic learner always struggles with the common difficulties in mathematics such as remembering number facts and time tables, counting backward in steps, learning to tell the time, calculations involving money and fractions, decimals and percentages. Dyscalculic learners may have difficulty in understanding numbers, number facts, numerical operations place value, the principle of exchange and their mathematical procedures. However, mostly, these difficulties can be overcome with extra support and intensive intervention.
The specific learning difficulty or disorder affects the learners’ ability to memorize number-based facts understanding the logical steps needed for solving a mathematical problem and performing daily numerical tasks. Dyscalculia refers to the inability or disorder in basic numerical processes in mathematics [19]. Such learning disorder affects the learner in numerical processing and computation throughout their life. It is the result of specific disabilities in basic numerical processing, rather than the consequence of deficits in other cognitive abilities [20]. According to Grant [21], the specific learning deficits in mathematics have number sense, memorization of arithmetic facts, accurate or fluent calculation and accurate mathematical reasoning. Among them, number sense can be classified as dyscalculia and the core deficit of dyscalculia is the lack of numerosity or the inability to understand the concept of more than/less than [21]. The term specific learning difficulties or deficits describe a range of disorders in which dyscalculia is one. Therefore, dyscalculia is also considered as the lack of numerosity or an inability to understand the concept of more than/less than.
Dyscalculia is a neurological disorder about learning abilities in mathematics. It has a strong correlation between neurobiology and dyscalculia [22, 23]. Dyscalculia is a brain-based disorder as indicated by genetic, neurobiological, and epidemiologic evidence [24]. The common range of dyscalculia lies between 3 and 6% of school-age children [22]. Similarly, Hornigold [9] states around 6% of the children have dyscalculia and are being equally affected regarding both girls and boys. However, Sharma [5], claimed that the occurrence of dyscalculia is about 6 to 8 percent of the school-age population. As affirmed by Khing [10], children with dyscalculia consist of two types of problems-mathematical computation and reasoning. The problem related to mathematical computation affects an individual to solve mathematical calculations like addition, subtraction, multiplication, and division. Similarly, mathematical reasoning affects the learner in the case of analyzing and way of thinking [19]. Such mathematical problems usually begin at the elementary level and generally continue throughout their lifespan [9].
In the field of mathematical learning disability, different researchers have explored their ideas to categorize the major types of dyscalculia concerning the different dimensions of acquiring mathematical ability. In this context, Kosc [25], the researcher, who proposes dyscalculia into six uniform categories particularly focusing on the characteristics of knowledge deficits are as follows:
Verbal dyscalculia: It denotes the disturbing ability to designate verbally mathematical terms and relations, such as naming amounts and numbers of things, digits, numbers, operational symbols and mathematical performances [25]. In this dyscalculia, children can read or write numbers, but feel difficult to recognize them when presented verbally.
Prognostic dyscalculia: This type of dyscalculia denotes the trouble or difficulty to manipulate mathematical real or pictured objects. Such mathematical manipulations consist of enumerations and comparisons of estimates of quantity. Children with this type of dyscalculia can understand mathematical concepts however they have trouble in listening, comparing, and manipulating mathematical equations.
Lexical dyscalculia: It is a reading disability of mathematical symbols (digits, numbers, operational signs, and written mathematical operations). In this sort of disability, children may have trouble in reading and understanding mathematical symbols, numbers, mathematical expressions, and/or equations.
Graphical dyscalculia: It is a disability in manipulating mathematical symbols in writing. Children can understand; however, they feel trouble while writing or using the correct corresponding symbols. They may also be unable to copy them if written.
Ideognostical dyscalculia: It is difficult to carry out mental calculations and understanding mathematical ideas and relations. Children having Ideognostical dyscalculia feel difficulty with completing mental operations and remembering mathematical concepts after learning them.
Operational dyscalculia: It is the inability to carry out mathematical operations or calculations due to the typical occurrence by an interchange of operations, e.g., doing addition instead of multiplication; subtraction instead of division; or substitution of more complicated operations by simpler ones.
Geary [26] has divided dyscalculia into three types particularly focusing on the way of knowledge processing and procedures. The brief descriptions of the type are as follows:
Semantic memory: It is concerned with the deficits in the retrieval of basic arithmetic facts. When the children retrieve the facts, there is a chance of a higher error rate and when facts are retrieved correctly, they are often unsystematic. It is also known as arithmetic retrieval deficits and is caused due to working memory deficits. It does not affect reading difficulties however learning arithmetic facts and the process of retrieving them is more complicated [27].
Procedural memory: It includes developmentally immature procedures, frequent errors while executing procedures. It also comprises of poor understanding of the concepts underlying procedural use and difficulties sequencing the multiple steps in complex procedures. It is due to the dysfunction of the left hemisphere pre-frontal brain and improves with age.
Visuospatial memory: It denotes the difficulty with spatially representing numerical and other forms of mathematical information and relationships. It comprises difficulties with recognizing and understanding mathematical relations, interpreting visual representations of mathematical objects, placing numbers on a number line, visualizing geometric figures and interpreting graphs and tables [9].
Karagiannakis and Cooreman [28] have categorized dyscalculia into four ways based on different aspects of mathematical ability or areas of mathematics that affect the learner. The brief accounts of the types are as follows:
Core number: This type of dyscalculia consists of the difficulties related to basic number sense or the ability to use and understand the number and our number system, estimating, assessing numerical differences in quantity, understanding and the use of mathematical symbols, place value and placing numbers on a number line.
Reasoning: Reasoning comprises the difficulties related to understanding mathematical concepts and relationships, generalizing and transferring mathematical information, understanding complex procedures including problem-solving and decision making.
Memory: This type of dyscalculia encompasses the difficulties associated with remembering and retrieving numerical facts, understanding and recalling mathematical terminology, word problems, performing accurate mental calculations, remembering and carrying out procedures, rules and formulae, performing problem-solving steps.
Visual–spatial: This way includes the difficulties concerning recognizing and understanding mathematical symbols, interpreting visual representations of mathematical objects, representing numbers on a number line, visualizing geometrical figures, interpreting graphs and tables.
There are different views about the causes of dyscalculia. However, researchers are generally agreed about dyscalculia as a brain-based condition. Arguably, the specific mathematics learning difficulty (dyscalculia) can be categorized within the cognitive, behavioral and biological aspects and contextualize in teaching and learning mathematics. It can also be considered as the fundamental cause of dyscalculia or the factors affecting dyscalculic learners. The category of the fundamental causes of dyscalculia is presented in Figure 1.
Fundamental causes of dyscalculia.
The causes of the dyscalculia as presented in Figure 1, in the cognitive factor, the acquisition of number concepts and the ability to acquire arithmetical skills and understanding, some huddles during the development stages of Piaget’s child development theory can the cause of dyscalculia. Similarly, the information processing theories can also be the cause to accommodate the number concept and difficulty with numbers [29]. In behavioral factors, learning environment, various aspects related to effective teaching and learning such as teaching methods, materials, motivation, classroom environment, socio-cultural factors, stress, anxiety, etc. can also be the causes to acquire the number concept and arithmetic skills [30]. Frequent learning activities or drills and practice can also help to attain the learning problem related to numbers. The biological factor comprises brain structure and genetics. In brain structure, the cause of dyscalculia depends on the differences in the surface area, thickness and volume of the different parts of the brain that are used in memory and keeping track of a task [31]. The development of brain structure may depend upon prematurity and low weight birth. It can be identified by MRI scans. In the same way, dyscalculia can be transformed from the heredity too [32]. Thus, all the aspects can cause dyscalculia in a learner.
As already discussed above, dyscalculic children often struggle with number and number concepts that can lead to a diverse range of difficulties related to numbers in mathematics. Jacobson [33] stated that dyscalculic children have difficulties related to recognizing and remembering numbers, counting, associate number symbol with the number value, identifying patterns and placing things in the right order. Some common areas of difficulty in mathematics for dyscalculic children are stated below in brief:
Counting backward and counting in steps: Counting backward and stepwise.
Sequencing and recognizing patterns: Troubles with recognizing patterns and sequencing numbers.
Calculations: Choosing the correct numerical operation and applying it correctly.
Direction/orientation: Difficulty immediately sorting out direction, spatial orientation, confusion over left, right, high, low and depth.
Estimation: Understanding place value, problem-related to estimating quantities from the given numbers or numeric values, mathematical concepts, rules and formulae.
Time: Problem-related to tell the time on an analog clock.
Assessing numerical quantity: Identify the number numerically larger or smaller.
Money: Making sense of money and estimating quantities.
Mental mathematics: Difficulty remembering procedures in mathematics recognize quantities without counting, recalling basic math facts, linking numbers and symbols and problem-solving.
Fraction: Poor visual and spatial orientation in fraction diagram.
Dyscalculia impacts children from the early age of schooling onwards. It affects learning mathematics as well as in daily life activities due to the inability of basic arithmetic concepts like poor number sense and reasoning. Dyscalculia can also impact children in the varied areas of mathematics. The major impacts of dyscalculia in mathematics learning in everyday activities of the children are as follows:
Develop a negative attitude and avoid the tasks like judging distances, direction, depth and distinguish between left and right; larger and smaller numbers.
De-motivate and make it difficult to learn mathematics because of poor understanding of mathematical concepts, rules, formulae, and proper sequencing.
Unable to concentrate a long time continuously on mentally concentrated tasks.
Makes challenges in daily life due to their poor number sense and other mathematics skills.
Reduce self-efficacy of the learner about learning mathematics due to the constant difficulty on the problem related to amounts, time, distance, speed, counting, mental mathematics, and remembering numbers.
Develop low self-esteem and always hesitate to argue or express the views related to mental arithmetic and numeric calculation such as addition, subtraction, multiplication and division.
Makes unhappy and unenthusiastic constantly in mathematics classroom activity due to the lack of common mathematics abilities like remembering number facts, times tables, counting backward, telling the time, calculations involving money, fractions, decimals and percentages.
Content delivery describes the process of conveying subject matter to the learner through either the physical or virtual medium. There are a large number of ways to deliver the content. Effective content delivery depends upon how clearly the learner has internalized or understood the subject matter. The effective way of content delivery for dyscalculic learners also depends upon the students’ background, interest, level and capability. However, the multi-sensory techniques incorporating best suited modern tools and techniques with the need and interest of the learner can make the content delivery more effective. Some major ways for effective content delivery are accounted in brief:
Make it real: While teaching number and concept, use varied concrete materials available around the locality and also use readymade or prepared materials such as Cuisenaire rods, Base ten-block, Numicon, Addacus, Ten-frames, etc. so that multi-sensory approach can be used to make real learning. Such manipulative materials can help the dyscalculic learner develop number concepts, place value and mathematical reasoning.
Provide sufficient time: The use of concrete materials in teaching helps to develop a clear concept about mathematical terms and understand the relationship between numbers and number systems through manipulating the materials. It further helps to develop mental arithmetic skills effectively. The learner should be provided sufficient time to manipulate a variety of concrete materials to explore the meaning, concepts, mathematical facts, patterns and understanding of the subject matter. Such activity helps the learner broaden their reasoning power and learning about them permanently.
Make learning fun: The subject matter can be delivered effectively by making learning fun. Poor understanding of mathematics produces fears and unpleasant consequences [34]. Therefore, playing games with Dice, Dominoes, Ten-frames, etc. make learning fun and can also familiarize with the face of Dice, dot patterns of Dominoes and counting and number relations in Ten-frames, etc. By using such concrete materials help the learner to be familiar with dot patterns, counting and number relations.
Visualize more: While teaching in the classroom, visualize the mathematics subject matter by using concrete materials if possible; otherwise, visualize by drawing diagrams to model the subject matter. The process of visualization in teaching mathematics helps the learner to grasp the subject matter effectively and is also helps to develop the learners’ self-efficacy about the subject matter.
Make learning multi-sensory: Multi-sensory learning helps the learner to concentrate or involve more and actively in the learning process that makes learning more effective and practical. When the learners are involved actively in learning, they learn sincerely and more. Such learning retains for a long time. Thus multi-sensory learning helps the dyscalculic learner to learn difficult subject matter easily.
Use collaborative learning: This learning approach can be implemented in different groups of students working together to solve the given problem or the task. In this approach, the students are given certain clues and encourage them collaboratively solving the problem. In this type of learning, the learners are actively engaged to learn and develop their understanding. It helps to motivate the learner and inspires them to engage and enjoy learning mathematics. Such learning also makes the learner positive in mathematics learning.
Use modern technology: The use of Information Communication Technology (ICT) makes learning more effective as well as interactive. It can be employed to accelerate, enrich and deepen basic skills in reading, writing and arithmetic [34]. It enables the student to learn better by increasing their engagement in educational activities. It is used in the learning process which makes learning faster, easier and fun. It provides better opportunities for special needs children to play, enjoy and learn mathematics as fun. The use of technology helps the dyscalculic learner to learn mathematics in a fun and in interactive way and also motivates them for mathematics learning.
Rapport building: The close relationship between students and the teacher is expected to develop a positive learning environment. It also helps the students to motivate in learning mathematics. The close relationship between students and teachers makes it easy for the students to ask questions to their teacher frequently whenever they feel difficulty in learning. These two ways of communication certainly help the students reduce their learning difficulty. In the same way, it can also help the teacher to address the students’ difficulties instantly then and there.
Use satellite learning approach: In this approach, the selected smart students who are good at mathematics are assigned to teach the other poor students in mathematics. Then those selected smart students are separately taught by the teacher in a small group and they are asked to teach the rest of the weak students in the class. The smart students teach their friends best to make them know/solve the given task. In this teaching approach, those poor students can be benefitted who could not ask questions to their teacher due to hesitation. It also inspires the weak students to learn mathematics and get more practiced and may feel relaxed learning with their friends.
Teach less but regular: In this teaching style, the subject matter is divided into small separable parts. Then the small part is taught regularly using different effective techniques. The learner feels more comfortable to learn the small part because the small part takes less time to teach and also easy to understand for students. When the students are taught a long lesson, it takes more time and the learners also feel bored and tired. Such a method can be used effectively in the lower classes and also used to teach the weak students. Similarly, most dyscalculic learners do not prefer to carry on the lengthy way of teaching or calculating strategies. In this context, shortcut ways can be used more effectively than others.
The student’s support can help to promote their ability to process and understand information regarding mathematics for struggling children with dyscalculia. It can also assist them in conceptualizing and performing mathematical difficulties. It is essential to work with dyscalculic children both at home and at school to develop a positive attitude towards learning mathematics and provide additional support for learning mathematics effectively. Thus, the parents, as well as the teacher, should support the dyscalculic children to motivate them and overcome the particular difficult area of mathematics. The students supported by parents and teachers are accounted briefly as.
The children spend comparatively more time at home than school and they feel closer to their parents than others at the age of primary stage. So every parent can help their children effectively in several ways who struggle with dyscalculia. Some of the supports that can be provided by the parents to their children are as follows:
Motivate your child about learning and learning mathematics by telling stories of success or myths.
Provide plenty of time to your child for talking, playing and other funny works that the child likes to do.
Provide counseling if the child is feeling depressed, anxious or discouraged. It helps to understand each other’s feelings and needs.
Listen to the child’s interests and feeling serious and try to address them as far as possible.
Help your child with homework, other learning problems and timely manage the learning materials like bags, books, stationery and other materials.
Help to manage the timetable for the child such as playing time, homework time, reading and writing, etc.
Always acknowledge the child’s struggles and praise their hard work and every success.
Children with dyscalculia need additional support and instruction at school and home due to poor working memory. The teacher can support the dyscalculic learner at school in the real classroom environment that is also the best place for children to deal with some of their difficulties. Such support can help the stressed children to make it easier and less stressful by creating a fun indoor and outdoor learning environment. The strategies and support in either way to help the children with dyscalculia will work well and also make them self-motivated and encourage. Some strategies to support the dyscalculic learner by the teacher are as follows:
Address child anxiety because the child struggling with mathematics often becomes anxious which makes them unable to concentrate on learning.
Provide sufficient supportive tools for teaching and learning mathematics that can help the child to navigate difficult problems.
Focus on mathematical games, puzzles and activities that can help to erase the particular misconceptions like mathematics is a difficult subject and help to revisit important topics regularly and develop interest and enjoyment in learning mathematics.
Develop a positive mindset for the learner by providing encouragement, praise, and support to their every successful activity in the classroom.
Frequently revise the lesson and use real-life examples to make them easier to understand and more familiar.
Use the technology to make teaching fun and interactive too. Use different applications, games and puzzles related to mathematics and get them to play.
Use a step-by-step teaching approach so that the weak students in mathematics can understand easily. Provide continuous and extra support to the dyscalculic students.
Provide maximum time for practicing the difficult areas of mathematics.
Reduce homework; be realistic and do not overload the young child. Reduce homework-related tensions for both parent and child.
Always be cautious that learning disabilities affect families and vice-versa. So the students struggling with dyscalculia may affect themselves from their parents. Parental attitudes and parenting styles affect the children and their attitude towards learning. So the parents should be timely informed about their child’s condition and progress and their responsibilities towards their child.
Dyscalculia is a specific learning disorder that influences the arithmetical abilities of children. Generally, dyscalculic children struggle to memorize number facts, understanding the logical steps needed to solve the mathematical problem. They also have difficulties in numerical calculations related to daily life. Thus the arithmetical deficits not only impact their achievement but also on other related fields beyond the class. Generally, mathematics is considered a difficult subject due to its abstract nature to all learners. Then the dyscalculic student should face more difficulty due to their weak number sense and poor reasoning towards mathematics. There are certain areas of difficulty in learning mathematics for the dyscalculic learner. In these areas, they cannot attempt in time due to the low basic mathematics fluency and reasoning. Teaching in such difficult areas of mathematics, the dyscalculic students should be provided with specialized instructions and dedicated time. Similarly, they should be cared for and well treated at school through providing classroom outside and inside learning environment. Likewise, the parents should also provide sufficient time at their home for doing homework, playing, or doing something. Thus, the efficiency of the dyscalculic students can be uplifted through utilizing effective pedagogical intervention strategies and creating a collaborative working environment.
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Since then, their roles were identified in hemostasis and thrombosis, inflammation, leukocyte interactions, angiogenesis, and cancer growth. But there is little information about such platelet functions in the newborn. Several studies highlighted some platelet differences between newborns and adults. Yet, in spite of these differences, healthy newborns appear to be adequately protected. A number of factors, however, were reported to negatively affect neonatal platelets. These include maternal hypertensive disorders or infections, neonatal asphyxia or respiratory distress, therapies such as ampicillin or indomethacin, and treatment modalities such as ventilators, nitric oxide, or extracorporeal membrane oxygenation (ECMO). Their effects on newborn platelets are usually transitory, lasting from several hours to a few days or weeks. If these effects are well characterized, they could serve as reporters for diagnosis and monitoring during therapy. Careful studies of neonatal platelets are needed to improve the understanding of basic physiology and pathophysiology in this cohort and to identify possible targets for intervention and therapy.",book:{id:"7527",slug:"neonatal-medicine",title:"Neonatal Medicine",fullTitle:"Neonatal Medicine"},signatures:"Ijeoma Esiaba, Iman Mousselli, Giulia M. Faison, Danilyn M. Angeles and Danilo S. Boskovic",authors:[{id:"255308",title:"Ph.D.",name:"Danilo",middleName:null,surname:"Boskovic",slug:"danilo-boskovic",fullName:"Danilo Boskovic"},{id:"274914",title:"Prof.",name:"Ijeoma",middleName:null,surname:"Esiaba",slug:"ijeoma-esiaba",fullName:"Ijeoma Esiaba"},{id:"274915",title:"Prof.",name:"Danilyn",middleName:null,surname:"Angeles",slug:"danilyn-angeles",fullName:"Danilyn Angeles"}]}],mostDownloadedChaptersLast30Days:[{id:"44446",title:"Neonatal Pneumonia",slug:"neonatal-pneumonia",totalDownloads:14796,totalCrossrefCites:1,totalDimensionsCites:5,abstract:null,book:{id:"2990",slug:"neonatal-bacterial-infection",title:"Neonatal Bacterial Infection",fullTitle:"Neonatal Bacterial Infection"},signatures:"Friedrich Reiterer",authors:[{id:"152025",title:"Prof.",name:"Friedrich",middleName:null,surname:"Reiterer",slug:"friedrich-reiterer",fullName:"Friedrich Reiterer"}]},{id:"53683",title:"Pre and Postoperative Management of Pediatric Patients with Congenital Heart Diseases",slug:"pre-and-postoperative-management-of-pediatric-patients-with-congenital-heart-diseases",totalDownloads:4931,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"Stabilization during preoperative cardiac surgery especially in neonates has an important role to predict outcome for pediatric congenital heart surgery. We tried to elaborate general guidelines on how to diagnose and some anticipations for emergency treatments tailored by the type of congenital heart disease in neonates. Stabilization consists of medical treatment including emergent prostaglandin institution in some types of duct dependent lesion. The role of interventional catheterization such as patent ductus arteriosus (PDA) stent, balloon pulmonary valvotomy, etc. as modalities for stabilization before surgery was also elaborated. Some general and specific guidelines based on the type of surgeries for postoperative management were also discussed.",book:{id:"5473",slug:"pediatric-and-neonatal-surgery",title:"Pediatric and Neonatal Surgery",fullTitle:"Pediatric and Neonatal Surgery"},signatures:"Eva Miranda Marwali, Beatrice Heineking and Nikolaus A. Haas",authors:[{id:"191397",title:"Dr.",name:"Eva",middleName:"Miranda",surname:"Marwali",slug:"eva-marwali",fullName:"Eva Marwali"},{id:"191414",title:"Prof.",name:"Nikolaus",middleName:null,surname:"Haas",slug:"nikolaus-haas",fullName:"Nikolaus Haas"},{id:"202373",title:"Dr.",name:"Beatrice",middleName:null,surname:"Heineking",slug:"beatrice-heineking",fullName:"Beatrice Heineking"}]},{id:"68042",title:"Neonatal Bacterial Meningitis",slug:"neonatal-bacterial-meningitis",totalDownloads:1195,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Despite improvements in neonatal intensive care, neonatal bacterial meningitis continues to be a serious disease with mortality rates varying between 10 and 15%. Additionally, long-term complications are observed among 20–50% of survivors, depending on time of diagnosis and therapy and virulence of the infecting pathogen. It is more common during the neonatal period than at any other age with the estimated incidence of 0.25 per 1000 live births. The absence of specific clinical presentation makes diagnosis of meningitis more difficult in neonates than in older children. Culture of cerebrospinal fluid is the traditional gold standard for diagnosis of bacterial meningitis, so all newborn infants with proven or suspected sepsis should undergo lumbar puncture. However, deciding when to perform lumbar puncture and interpretation of the results are challenging. Although the pathophysiology of neonatal meningitis is complex and not fully understood, researches on diagnostic and prognostic tools are ongoing. Prevention of neonatal sepsis, early recognition of infants at risk, development of novel, rapid diagnostics and adjunctive therapies, and appropriate and aggressive antimicrobial treatment to sterilize cerebrospinal fluid as soon as possible may prevent the lifelong squeal of bacterial meningitis in newborn infants.",book:{id:"7527",slug:"neonatal-medicine",title:"Neonatal Medicine",fullTitle:"Neonatal Medicine"},signatures:"Mehmet Şah İpek",authors:[{id:"267903",title:"Associate Prof.",name:"Mehmet Şah",middleName:null,surname:"İpek",slug:"mehmet-sah-ipek",fullName:"Mehmet Şah İpek"}]},{id:"71427",title:"Factors Influencing Maternal Decision-Making on Infant Feeding Practices",slug:"factors-influencing-maternal-decision-making-on-infant-feeding-practices",totalDownloads:1014,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The decision to formula feed or breastfeed a child typically begins with an established prenatal intention. This chapter will examine the multiple dimensions influencing maternal decision-making in regards to the feeding practices of infants including 1) individual maternal characteristics, 2) organizational factors, 3) hospital/provider recommendations, and 4) systematic/policy factors. The chapter will also examine the impact of infant feeding practices on early infant and childhood health outcomes. Research has demonstrated the benefits of breastfeeding on infants and early childhood which includes but is not limited to protection against common illnesses and infections, improved IQ , and even increased school attendance. Moreover, the World Health Assembly global nutrition objectives focus on encouraging breastfeeding support across all sectors in addition to implementing tailored community-based approaches, limiting the excessive marketing of infant formula, and enforcing supportive breastfeeding legislation. The aim of this chapter is to provide an overview of the dynamic interplay between individual, interpersonal, community, and societal factors, such as policies that impact breastfeeding rates and more specifically the health of infants.",book:{id:"9805",slug:"infant-feeding-breast-versus-formula",title:"Infant Feeding",fullTitle:"Infant Feeding - Breast versus Formula"},signatures:"Whitney N. Hamilton",authors:[{id:"313554",title:"Dr.",name:"Whitney",middleName:null,surname:"Hamilton",slug:"whitney-hamilton",fullName:"Whitney Hamilton"}]},{id:"73181",title:"Introductory Chapter: Impact of First 1000 Days Nutrition on Child Development and General Health",slug:"introductory-chapter-impact-of-first-1000-days-nutrition-on-child-development-and-general-health",totalDownloads:830,totalCrossrefCites:0,totalDimensionsCites:0,abstract:null,book:{id:"9805",slug:"infant-feeding-breast-versus-formula",title:"Infant Feeding",fullTitle:"Infant Feeding - Breast versus Formula"},signatures:"Isam Jaber AL-Zwaini, Zaid Rasheed AL-Ani and Walter Hurley",authors:[{id:"30993",title:"Prof.",name:"Isam Jaber",middleName:null,surname:"Al-Zwaini",slug:"isam-jaber-al-zwaini",fullName:"Isam Jaber Al-Zwaini"},{id:"136109",title:"Dr.",name:"Walter",middleName:null,surname:"Hurley",slug:"walter-hurley",fullName:"Walter Hurley"},{id:"317690",title:"Dr.",name:"Zaid Rasheed",middleName:null,surname:"Al-Ani",slug:"zaid-rasheed-al-ani",fullName:"Zaid Rasheed Al-Ani"}]}],onlineFirstChaptersFilter:{topicId:"1108",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"81682",title:"‘Complete Coverage & Covering Completely’ for Breastfeeding with Able, Bold, & Confident Mothers, for Sustainable Development, & Medical Education Excellence",slug:"-complete-coverage-covering-completely-for-breastfeeding-with-able-bold-confident-mothers-for-sustai",totalDownloads:9,totalDimensionsCites:0,doi:"10.5772/intechopen.104297",abstract:"Complete coverage of all infants, everywhere with wonderful evidence, and covering completely with first six months of exclusive breastfeeding and thereafter proper weaning while continuing breastfeeding up to 2 years of age or beyond is desirable. Reaching all rightly and robustly is required. All this will contribute greatly towards the growth & development of infants and grandly towards the Sustainable Development Goals. We propose the “ABC mothers” plan. Progress for required practices for results possible with making mothers—“Able for practices advantageous, bold with pertinent awareness, and confident with propitious attitude”. Strong efforts on sound footing are necessary for health of all our infants and happiness all around with sustainable development. Scientific infant feeding will contribute to advance the attainment of this. Medical education teaching best beneficial practices is for excellence. One promoting breastfeeding is the best. The US Surgeon General’s Implementation Strategies elaborate “Education content”, “Enabling competency”, & “Education continuing”. Competency-based curriculum for Indian Medical Graduates includes “to promote and support optimal breast feeding”. Need for inclusion in teaching curriculum across US, UK, & internationally has been documented. Given all the evidence for breastfeeding benefits, it should be a consistent essential component of training in all medical schools worldwide.",book:{id:"11308",title:"Selected Topics on Infant Feeding",coverURL:"https://cdn.intechopen.com/books/images_new/11308.jpg"},signatures:"Sunil Jain, Arvind Singh Kushwaha and Vishal Marwaha"},{id:"81544",title:"Infant and Young Child Feeding in the Developed and Developing Countries",slug:"infant-and-young-child-feeding-in-the-developed-and-developing-countries",totalDownloads:33,totalDimensionsCites:0,doi:"10.5772/intechopen.103012",abstract:"Infant feeding challenges continue to manifest in developed and developing countries. Worldwide, more than 80% of babies are breastfed in the first few weeks of birth. However, about 37%, 25%, and less than 1% are exclusively breastfed at 6 months of age in Africa, the United States of America, and the United Kingdom, respectively. These statistics are far below the World Health Organization targets of 50% and 70% by 2025 and 2030, respectively. Complementary feeding practices are varied as well due to nonadherence to Infant and Young Child Feeding (IYCF) guidelines among parents. This accounts for the current trends in malnutrition in children under−5 years of age, adolescents, and the youth, and leads to intergeneration malnutrition. In this chapter we have included sections on appropriate infant feeding; including how to initiate breastfeeding in the first hour of birth, how to exclusively breastfeed infants until 6 months of age, how to complement breastfeeding after 6 months of infant’s age as well as continuing to breastfeed until 24 months of age and even beyond. Furthermore, we have included a description of how mothers who are unable to breastfeed can feed their infants on expressed breastmilk or replace breastmilk with appropriate homemade or commercial formula. This chapter as well covers infant feeding in prematurity.",book:{id:"11308",title:"Selected Topics on Infant Feeding",coverURL:"https://cdn.intechopen.com/books/images_new/11308.jpg"},signatures:"Enos Mirembe Masereka, Clement Munguiko, Alex Tumusiime and Linda Grace Alanyo"},{id:"81207",title:"Breastfeeding during COVID Pandemic",slug:"breastfeeding-during-covid-pandemic",totalDownloads:25,totalDimensionsCites:0,doi:"10.5772/intechopen.104604",abstract:"As new mothers are understandably concerned about COVID-19 and its high rate of infection, they are often unsure if they should breastfeed their infants. In general, hospitals do not allow direct breastfeeding by mothers with an active infection of SARS-CoV-2. Some neonatal units in Hong Kong maintain safe practices by isolating infants and mothers for at least 7 to 14 days, even if the infant remains SARS-CoV-2 negative. During isolation, mothers encourage the expression of milk to maintain milk duct patency and to prepare for lactation when they and their infants are discharged. Infants are fed formula milk by cup feeding with added supplements based on the recommended daily feeding volume for neonates and their appetite during hospitalization. At present, data that indicates COVID-19 could be transmitted from mother to infant postnatally through breastfeeding are insufficient. Major organizations recommend that mothers should breastfeed exclusively for the first 6 months, and thereafter continue to provide their infants with breast milk up until the age of two or beyond. With new findings arising from research, updated information is important to reassure mothers that breastfeeding at home during the COVID-19 pandemic is safe and recommended for both the mother and the infant.",book:{id:"11308",title:"Selected Topics on Infant Feeding",coverURL:"https://cdn.intechopen.com/books/images_new/11308.jpg"},signatures:"Ka-Huen Yip, Mei-Kuen Chow, Yuk-Chiu Yip and Wai-King Tsui"},{id:"81129",title:"Research of Fat Component Safety and Pre-Clinical Evaluation of Infant Adapted Dry Milk Mixtures Physiological Effect",slug:"research-of-fat-component-safety-and-pre-clinical-evaluation-of-infant-adapted-dry-milk-mixtures-phy",totalDownloads:16,totalDimensionsCites:0,doi:"10.5772/intechopen.103069",abstract:"The aim of the study deals with determination of fat component safety and quality key indicators of adapted infant dry milk formulas provided by various manufacturers. The most popular in Russia adapted infant dry milk formulas were selected as study objects. It was found that the qualitative composition of the fat component of dry milk mixtures corresponds to the information placed on the package. However none of the samples under study in terms of the average composition of the prevailing fatty acids fully corresponds to human breast milk. The regulation documents of the Customs Union (TR CU 021/2011, TR CU 024/2011, TR CU 033/2013) establish only the organoleptic evaluation of the adapted breast milk formulas quality indicators. Among the fat component safety indicators only the determination of the peroxide value characterizing the accumulation of primary fat oxidation products. It was also found that the peroxide values of the studied mixtures do not exceed the regulated values. Meanwhile the samples of infant milk food made from dry milk mixtures almost all have unsatisfactory organoleptic characteristics. Defects of taste and smell are associated with the accumulation in the original adapted milk mixtures of a significant amount of secondary products of fat oxidation, which in a biological experiment on animals lead to a decrease in the content of leukocytes and a change of its blood count.",book:{id:"11308",title:"Selected Topics on Infant Feeding",coverURL:"https://cdn.intechopen.com/books/images_new/11308.jpg"},signatures:"Ekaterina Yurievna Volf, Inna Vladimirovna Simakova, Andrey Anatolyevich Terentyev, Aleksandr Sergeevich Fedonnikov, Nina Viktorovna Bolotova, Gloria Vladimirovna Guzeeva and Viktor Veniaminovich Zakrevsky"}],onlineFirstChaptersTotal:4},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:90,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:33,numberOfPublishedChapters:330,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:14,numberOfPublishedChapters:145,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:9,numberOfPublishedChapters:140,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:123,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:112,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:22,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:11,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:"2753-6580",doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. This Biochemistry Series will address the current research on biomolecules and the emerging trends with great promise.",coverUrl:"https://cdn.intechopen.com/series/covers/11.jpg",latestPublicationDate:"August 2nd, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:33,editor:{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",slug:"miroslav-blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:4,paginationItems:[{id:"14",title:"Cell and Molecular Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",isOpenForSubmission:!0,annualVolume:11410,editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",slug:"rosa-maria-martinez-espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",biography:"Dr. Rosa María Martínez-Espinosa has been a Spanish Full Professor since 2020 (Biochemistry and Molecular Biology) and is currently Vice-President of International Relations and Cooperation development and leader of the research group 'Applied Biochemistry” (University of Alicante, Spain). Other positions she has held at the university include Vice-Dean of Master Programs, Vice-Dean of the Degree in Biology and Vice-Dean for Mobility and Enterprise and Engagement at the Faculty of Science (University of Alicante). She received her Bachelor in Biology in 1998 (University of Alicante) and her PhD in 2003 (Biochemistry, University of Alicante). She undertook post-doctoral research at the University of East Anglia (Norwich, U.K. 2004-2005; 2007-2008).\nHer multidisciplinary research focuses on investigating archaea and their potential applications in biotechnology. She has an H-index of 21. She has authored one patent and has published more than 70 indexed papers and around 60 book chapters.\nShe has contributed to more than 150 national and international meetings during the last 15 years. Her research interests include archaea metabolism, enzymes purification and characterization, gene regulation, carotenoids and bioplastics production, antioxidant\ncompounds, waste water treatments, and brines bioremediation.\nRosa María’s other roles include editorial board member for several journals related\nto biochemistry, reviewer for more than 60 journals (biochemistry, molecular biology, biotechnology, chemistry and microbiology) and president of several organizing committees in international meetings related to the N-cycle or respiratory processes.",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"15",title:"Chemical Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",isOpenForSubmission:!0,annualVolume:11411,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. He performed post-doctoral studies at Max-Planck Institute, Germany, and University of Florence, Italy in addition to making several scientific visits abroad. He currently works as a Full Professor of Biochemistry in the Faculty of Pharmacy, Anadolu University, Turkey. Dr. Beydemir has published over a hundred scientific papers spanning protein biochemistry, enzymology and medicinal chemistry, reviews, book chapters and presented several conferences to scientists worldwide. He has received numerous publication awards from various international scientific councils. He serves in the Editorial Board of several international journals. Dr. Beydemir is also Rector of Bilecik Şeyh Edebali University, Turkey.",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",slug:"deniz-ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",biography:"Dr. Deniz Ekinci obtained a BSc in Chemistry in 2004, MSc in Biochemistry in 2006, and PhD in Biochemistry in 2009 from Atatürk University, Turkey. He studied at Stetson University, USA, in 2007-2008 and at the Max Planck Institute of Molecular Cell Biology and Genetics, Germany, in 2009-2010. Dr. Ekinci currently works as a Full Professor of Biochemistry in the Faculty of Agriculture and is the Head of the Enzyme and Microbial Biotechnology Division, Ondokuz Mayıs University, Turkey. He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. Dr. Ekinci serves as the Editor in Chief of four international books and is involved in the Editorial Board of several international journals.",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null},{id:"17",title:"Metabolism",coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",isOpenForSubmission:!0,annualVolume:11413,editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",slug:"yannis-karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",biography:"Yannis Karamanos, born in Greece in 1953, completed his pre-graduate studies at the Université Pierre et Marie Curie, Paris, then his Masters and Doctoral degree at the Université de Lille (1983). He was associate professor at the University of Limoges (1987) before becoming full professor of biochemistry at the Université d’Artois (1996). He worked on the structure-function relationships of glycoconjugates and his main project was the investigations on the biological roles of the de-N-glycosylation enzymes (Endo-N-acetyl-β-D-glucosaminidase and peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase). From 2002 he contributes to the understanding of the Blood-brain barrier functioning using proteomics approaches. He has published more than 70 papers. His teaching areas are energy metabolism and regulation, integration and organ specialization and metabolic adaptation.",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null},{id:"18",title:"Proteomics",coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",isOpenForSubmission:!0,annualVolume:11414,editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",slug:"paolo-iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",biography:"Paolo Iadarola graduated with a degree in Chemistry from the University of Pavia (Italy) in July 1972. He then worked as an Assistant Professor at the Faculty of Science of the same University until 1984. In 1985, Prof. Iadarola became Associate Professor at the Department of Biology and Biotechnologies of the University of Pavia and retired in October 2017. Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. He is a Consultant Reviewer for several journals, including the Journal of Chromatography A, Journal of Chromatography B, Plos ONE, Proteomes, International Journal of Molecular Science, Biotech, Electrophoresis, and others. He is also Associate Editor of Biotech.",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",slug:"simona-viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",biography:"Simona Viglio is an Associate Professor of Biochemistry at the Department of Molecular Medicine at the University of Pavia. She has been working since 1995 on the determination of proteolytic enzymes involved in the degradation process of connective tissue matrix and on the identification of biological markers of lung diseases. She gained considerable experience in developing and validating new methodologies whose applications allowed her to determine both the amount of biomarkers (Desmosine and Isodesmosine) in the urine of patients affected by COPD, and the activity of proteolytic enzymes (HNE, Cathepsin G, Pseudomonas aeruginosa elastase) in the sputa of these patients. Simona Viglio was also involved in research dealing with the supplementation of amino acids in patients with brain injury and chronic heart failure. She is presently engaged in the development of 2-DE and LC-MS techniques for the study of proteomics in biological fluids. The aim of this research is the identification of potential biomarkers of lung diseases. She is an author of about 90 publications (According to Scopus: H-Index: 23; According to WOS: H-Index: 20) on peer-reviewed journals, a member of the “Società Italiana di Biochimica e Biologia Molecolare,“ and a Consultant Reviewer for International Journal of Molecular Science, Journal of Chromatography A, COPD, Plos ONE and Nutritional Neuroscience.",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null}]},overviewPageOFChapters:{paginationCount:42,paginationItems:[{id:"82914",title:"Glance on the Critical Role of IL-23 Receptor Gene Variations in Inflammation-Induced Carcinogenesis",doi:"10.5772/intechopen.105049",signatures:"Mohammed El-Gedamy",slug:"glance-on-the-critical-role-of-il-23-receptor-gene-variations-in-inflammation-induced-carcinogenesis",totalDownloads:11,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Chemokines Updates",coverURL:"https://cdn.intechopen.com/books/images_new/11672.jpg",subseries:{id:"18",title:"Proteomics"}}},{id:"82875",title:"Lipidomics as a Tool in the Diagnosis and Clinical Therapy",doi:"10.5772/intechopen.105857",signatures:"María Elizbeth Alvarez Sánchez, Erick Nolasco Ontiveros, Rodrigo Arreola, Adriana Montserrat Espinosa González, Ana María García Bores, Roberto Eduardo López Urrutia, Ignacio Peñalosa Castro, María del Socorro Sánchez Correa and Edgar Antonio Estrella Parra",slug:"lipidomics-as-a-tool-in-the-diagnosis-and-clinical-therapy",totalDownloads:7,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Fatty Acids - Recent Advances",coverURL:"https://cdn.intechopen.com/books/images_new/11669.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"82440",title:"Lipid Metabolism and Associated Molecular Signaling Events in Autoimmune Disease",doi:"10.5772/intechopen.105746",signatures:"Mohan Vanditha, Sonu Das and Mathew John",slug:"lipid-metabolism-and-associated-molecular-signaling-events-in-autoimmune-disease",totalDownloads:17,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Fatty Acids - Recent Advances",coverURL:"https://cdn.intechopen.com/books/images_new/11669.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"82483",title:"Oxidative Stress in Cardiovascular Diseases",doi:"10.5772/intechopen.105891",signatures:"Laura Mourino-Alvarez, Tamara Sastre-Oliva, Nerea Corbacho-Alonso and Maria G. 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He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:{name:"Association for Computing Machinery",country:{name:"United States of America"}}},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:'"Politechnica" University Timişoara',institution:null},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. 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Gharieb",profilePictureURL:"https://mts.intechopen.com/storage/users/225387/images/system/225387.jpg",institutionString:"Assiut University",institution:{name:"Assiut University",institutionURL:null,country:{name:"Egypt"}}}]},{id:"8",title:"Bioinspired Technology and Biomechanics",keywords:"Bioinspired Systems, Biomechanics, Assistive Technology, Rehabilitation",scope:'Bioinspired technologies take advantage of understanding the actual biological system to provide solutions to problems in several areas. Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',annualVolume:11404,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",institutionString:null,institution:{name:"Federal University of Uberlândia",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"49517",title:"Prof.",name:"Hitoshi",middleName:null,surname:"Tsunashima",fullName:"Hitoshi Tsunashima",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTP4QAO/Profile_Picture_1625819726528",institutionString:null,institution:{name:"Nihon University",institutionURL:null,country:{name:"Japan"}}},{id:"425354",title:"Dr.",name:"Marcus",middleName:"Fraga",surname:"Vieira",fullName:"Marcus Vieira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003BJSgIQAX/Profile_Picture_1627904687309",institutionString:null,institution:{name:"Universidade Federal de Goiás",institutionURL:null,country:{name:"Brazil"}}},{id:"196746",title:"Dr.",name:"Ramana",middleName:null,surname:"Vinjamuri",fullName:"Ramana Vinjamuri",profilePictureURL:"https://mts.intechopen.com/storage/users/196746/images/system/196746.jpeg",institutionString:"University of Maryland, Baltimore County",institution:{name:"University of Maryland, Baltimore County",institutionURL:null,country:{name:"United States of America"}}}]},{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",keywords:"Biotechnology, Biosensors, Biomaterials, Tissue Engineering",scope:"The Biotechnology - Biosensors, Biomaterials and Tissue Engineering topic within the Biomedical Engineering Series aims to rapidly publish contributions on all aspects of biotechnology, biosensors, biomaterial and tissue engineering. We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics can include but are not limited to: Biotechnology such as biotechnological products and process engineering; Biotechnologically relevant enzymes and proteins; Bioenergy and biofuels; Applied genetics and molecular biotechnology; Genomics, transcriptomics, proteomics; Applied microbial and cell physiology; Environmental biotechnology; Methods and protocols. Moreover, topics in biosensor technology, like sensors that incorporate enzymes, antibodies, nucleic acids, whole cells, tissues and organelles, and other biological or biologically inspired components will be considered, and topics exploring transducers, including those based on electrochemical and optical piezoelectric, thermal, magnetic, and micromechanical elements. Chapters exploring biomaterial approaches such as polymer synthesis and characterization, drug and gene vector design, biocompatibility, immunology and toxicology, and self-assembly at the nanoscale, are welcome. Finally, the tissue engineering subcategory will support topics such as the fundamentals of stem cells and progenitor cells and their proliferation, differentiation, bioreactors for three-dimensional culture and studies of phenotypic changes, stem and progenitor cells, both short and long term, ex vivo and in vivo implantation both in preclinical models and also in clinical trials.",annualVolume:11405,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",editor:{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",institutionString:null,institution:{name:"Autonomous University of Baja California",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"35539",title:"Dr.",name:"Cecilia",middleName:null,surname:"Cristea",fullName:"Cecilia Cristea",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYQ65QAG/Profile_Picture_1621007741527",institutionString:null,institution:{name:"Iuliu Hațieganu University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"40735",title:"Dr.",name:"Gil",middleName:"Alberto Batista",surname:"Gonçalves",fullName:"Gil Gonçalves",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYRLGQA4/Profile_Picture_1628492612759",institutionString:null,institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}},{id:"211725",title:"Associate Prof.",name:"Johann F.",middleName:null,surname:"Osma",fullName:"Johann F. 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