Summary of the interaction energies of boron-based clusters with bio-molecules considered in biomedical applications.
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\n'}],latestNews:[{slug:"intechopen-supports-asapbio-s-new-initiative-publish-your-reviews-20220729",title:"IntechOpen Supports ASAPbio’s New Initiative Publish Your Reviews"},{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"}]},book:{item:{type:"book",id:"8678",leadTitle:null,fullTitle:"Mobile Computing",title:"Mobile Computing",subtitle:null,reviewType:"peer-reviewed",abstract:"Mobile computing is defined as the union between humans and mobile devices that allows people to be connected to the Internet through a network in order to transmit and receive information. This book presents a vision of the present and future of mobile computing. It identifies and examines the most pressing research issues in the field. Comprising chapters by leading researchers and academics, this volume includes recent publications in key areas of interest, including Flying Ad-Hoc Networks (FANETs), Vehicular Ad-Hoc Networks (VANETs), 5G, energy-efficient networks, localization in mobile networks, algorithms of mobile core networks, user interfaces, metabolic health analysis, and many others. This volume is suitable as a text for graduate students and professionals in the industrial sector and general engineering areas.",isbn:"978-1-78984-940-0",printIsbn:"978-1-78984-939-4",pdfIsbn:"978-1-83880-550-0",doi:"10.5772/intechopen.80095",price:119,priceEur:129,priceUsd:155,slug:"mobile-computing",numberOfPages:174,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"3c2cf4e62010e495199b294278d852c4",bookSignature:"Jesus Hamilton Ortiz",publishedDate:"May 20th 2020",coverURL:"https://cdn.intechopen.com/books/images_new/8678.jpg",numberOfDownloads:7141,numberOfWosCitations:0,numberOfCrossrefCitations:19,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:18,numberOfDimensionsCitationsByBook:0,hasAltmetrics:0,numberOfTotalCitations:37,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"December 10th 2018",dateEndSecondStepPublish:"February 27th 2019",dateEndThirdStepPublish:"April 28th 2019",dateEndFourthStepPublish:"July 17th 2019",dateEndFifthStepPublish:"September 15th 2019",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"283288",title:"Dr.",name:"Jesus Hamilton",middleName:null,surname:"Ortiz",slug:"jesus-hamilton-ortiz",fullName:"Jesus Hamilton Ortiz",profilePictureURL:"https://mts.intechopen.com/storage/users/283288/images/system/283288.jpg",biography:"Jesus Hamilton Ortiz has a Ph.D. in Computer and Telecommunication Engineering. He is an international reviewer, editor, scientist, and entrepreneur in computer, telecommunication, and aerospace engineering. Dr. Ortiz has edited approximately nine books on ad hoc networks, telecommunication networks, wearables, Industry 4.0, mobile networks, mobile computing, and more. He is an associate editor of the journal IEEE Access. He is currently working on drone swarms, flying ad hoc networks (FANETs), bio-inspired algorithms, urban air mobility, air taxis, artificial intelligence, machine learning, the Volocopter, big data, blockchain, business intelligence, vertical–horizontal integration, and 5.0 society, and different disruptive technologies including cobots and humanoid robots.",institutionString:"CloseMobile R&D",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"3",totalChapterViews:"0",totalEditedBooks:"2",institution:null}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"536",title:"Mobile Computing",slug:"communications-and-security-mobile-computing"}],chapters:[{id:"67574",title:"Wireless Communications Challenges to Flying Ad Hoc Networks (FANET)",doi:"10.5772/intechopen.86544",slug:"wireless-communications-challenges-to-flying-ad-hoc-networks-fanet-",totalDownloads:1381,totalCrossrefCites:8,totalDimensionsCites:8,hasAltmetrics:0,abstract:"The increasing demand for Internet access from more and more different devices in recent years has provided a challenge for companies and the academic community to research and develop new solutions that support the increasing flow in the network, applications that require very low latencies and more dynamic and scalable infrastructures, in this context the mobile ad hoc networks (MANETs) emerged as a possible solution and applying this technology in unmanned aerial vehicles (UAVs) was developed the flying ad hoc networks (FANETs) which are wireless networks independent, its main characteristics are to have high mobility, scalability for different applications and scenarios and robustness to deal with possible communication failures. However, they still have several constraints such as limited flight time of UAVs and routing protocols that are capable of supporting network dynamics. To analyze this scenario, two simulations were developed where it was possible to observe the behavior of FANET with different routing protocols both during data transmission and video transmission. The results show that the choice of the best routing protocol must take into account the mobility of the UAVs and the necessary communication priority in the network.",signatures:"Miguel Itallo B. Azevedo, Carlos Coutinho, Eylon Martins Toda, Tassio Costa Carvalho and José Jailton",downloadPdfUrl:"/chapter/pdf-download/67574",previewPdfUrl:"/chapter/pdf-preview/67574",authors:[{id:"290776",title:"Dr.",name:"José",surname:"Jailton",slug:"jose-jailton",fullName:"José Jailton"},{id:"290799",title:"Dr.",name:"Tassio",surname:"Costa Carvalho",slug:"tassio-costa-carvalho",fullName:"Tassio Costa Carvalho"},{id:"298486",title:"BSc.",name:"Miguel Itallo B.",surname:"Azevedo",slug:"miguel-itallo-b.-azevedo",fullName:"Miguel Itallo B. Azevedo"},{id:"298488",title:"BSc.",name:"Carlos",surname:"Coutinho",slug:"carlos-coutinho",fullName:"Carlos Coutinho"},{id:"298489",title:"BSc.",name:"Eylon Martins",surname:"Toda",slug:"eylon-martins-toda",fullName:"Eylon Martins Toda"}],corrections:null},{id:"69849",title:"An Overview of Query-Broadcasting Techniques in Ad Hoc Networks",doi:"10.5772/intechopen.89609",slug:"an-overview-of-query-broadcasting-techniques-in-ad-hoc-networks",totalDownloads:751,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:0,abstract:"This chapter presents query-broadcasting techniques used to minimize expenses of the route discovery in ad hoc networks. A broad variety of such techniques have been proposed that improved the effectiveness and efficiency in various aspects of route discovery considering time and energy. Time-to-live based broadcast is the most common controlled flooding scheme widely used in routing protocols. One category of such techniques leveraged the routing history, while other category used broadcast repealing strategy to cancel the query-broadcast after successful route discovery.",signatures:"Naeem Ahmad and Shuchi Sethi",downloadPdfUrl:"/chapter/pdf-download/69849",previewPdfUrl:"/chapter/pdf-preview/69849",authors:[{id:"296384",title:"Dr.",name:"Naeem",surname:"Ahmad",slug:"naeem-ahmad",fullName:"Naeem Ahmad"},{id:"308250",title:"Dr.",name:"Shuchi",surname:"Sethi",slug:"shuchi-sethi",fullName:"Shuchi Sethi"}],corrections:null},{id:"69128",title:"Importance of Fifth Generation Wireless Systems",doi:"10.5772/intechopen.89345",slug:"importance-of-fifth-generation-wireless-systems",totalDownloads:840,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Fifth generation wireless communications are denoted by 5G technology. 5G schemes are coming from first generation analog communication, 2G of Global System for Mobile communication (GSM), then 3G of Code Division Multiple Access (CDMA), after that fourth generation of long-term evaluation (LTE), and now fifth generation World Wide Wireless Web (WWWW). This research investigation presents issues, challenges, and the importance of 5G Wifi communication. In the 5G digital cellular network, the coverage area of the service providers is separated into small area called cells. All the audio, video, and image files are digitized and converted by an ADC (Analog to Digital Converter) and transmitted through stream of bits. 5G wireless devices are communicated using radio waves in a geographically reusable common pool of frequency band. Using wireless backhaul connection, the local antennas are connected with the internet/telephone network. Spectrum speed is substantially higher in millimeter wave. Hence, this was considered in this work.",signatures:"K. Sakthidasan Sankaran, G. Ramprabu and V.R. Prakash",downloadPdfUrl:"/chapter/pdf-download/69128",previewPdfUrl:"/chapter/pdf-preview/69128",authors:[{id:"302194",title:"Dr.",name:"K. Sakthidasan",surname:"Sankaran",slug:"k.-sakthidasan-sankaran",fullName:"K. Sakthidasan Sankaran"},{id:"302195",title:"Dr.",name:"V.R.",surname:"Prakash",slug:"v.r.-prakash",fullName:"V.R. Prakash"},{id:"302202",title:"Prof.",name:"G.",surname:"Ramprabu",slug:"g.-ramprabu",fullName:"G. Ramprabu"}],corrections:null},{id:"69979",title:"Softwarization in Future Mobile Networks and Energy Efficient Networks",doi:"10.5772/intechopen.89607",slug:"softwarization-in-future-mobile-networks-and-energy-efficient-networks",totalDownloads:587,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"The data growth generated by pervasive mobile devices and the Internet of Things at the network edge (i.e., closer to mobile users), couple with the demand for ultra-low latency, requires high computation resources which are not available at the end-user device. This demands a new network design paradigm in order to handle user demands. As a remedy, a new MN network design paradigm has emerged, called Mobile Edge Computing (MEC), to enable low-latency and location-aware data processing at the network edge. MEC is based on network function virtualization (NFV) technology, where mobile network functions (NFs) that formerly existed in the evolved packet core (EPC) are moved to the access network [i.e., they are deployed on local cloud platforms in proximity to the base stations (BSs)]. In order to reap the full benefits of the virtualized infrastructure, the NFV technology shall be combined with intelligent mechanisms for handling network resources. Despite the potential benefits presented by MEC, energy consumption is a challenge due to the foreseen dense deployment of BSs empowered with computation capabilities. In the effort to build greener 5G mobile network (MN), we advocate the integration of energy harvesting (EH) into future edge systems.",signatures:"Thembelihle Dlamini",downloadPdfUrl:"/chapter/pdf-download/69979",previewPdfUrl:"/chapter/pdf-preview/69979",authors:[{id:"291620",title:"Dr.",name:"Thembelihle",surname:"Dlamini",slug:"thembelihle-dlamini",fullName:"Thembelihle Dlamini"}],corrections:null},{id:"67993",title:"Localization Enhanced Mobile Networks",doi:"10.5772/intechopen.88110",slug:"localization-enhanced-mobile-networks",totalDownloads:755,totalCrossrefCites:1,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The interest in mobile ad-hoc networks (MANETs) and often more precisely vehicular ad-hoc networks (VANETs) is steadily growing with many new applications, and even anticipated support in the emerging 5G networks. Particularly in outdoor scenarios, there are different mechanisms to make the mobile nodes aware of their geographical location at all times. The location information can be utilized at different layers of the protocol stack to enhance communication services in the network. Specifically, geographical routing can facilitate route management with smaller overhead than the traditional proactive and reactive routing protocols. In order to achieve similar advantages for radio resource management (RRM) and multiple access protocols, the concept of virtual cells is devised to exploit fully distributed knowledge of node locations. The virtual cells define clusters of MANET nodes assuming a predefined set of geographically distributed anchor points. It enables fast response of the network to changes in the nodes spatial configuration. More importantly, the notion of geographical location can be generalized to other shared contexts which can be learned or otherwise acquired by the network nodes. The strategy of enhancing communication services by shared contexts is likely to be one of the key features in the beyond-5G networks.",signatures:"Salman Al-Shehri, Pavel Loskot and Michael J. Hirsch",downloadPdfUrl:"/chapter/pdf-download/67993",previewPdfUrl:"/chapter/pdf-preview/67993",authors:[{id:"17608",title:"Dr.",name:"Pavel",surname:"Loskot",slug:"pavel-loskot",fullName:"Pavel Loskot"},{id:"212143",title:"Mr.",name:"Salman",surname:"Al-Shehri",slug:"salman-al-shehri",fullName:"Salman Al-Shehri"},{id:"297181",title:"Dr.",name:"Michael J.",surname:"Hirsch",slug:"michael-j.-hirsch",fullName:"Michael J. Hirsch"}],corrections:null},{id:"69472",title:"Architecture and Operation Algorithms of Mobile Core Network with Virtualization",doi:"10.5772/intechopen.89608",slug:"architecture-and-operation-algorithms-of-mobile-core-network-with-virtualization",totalDownloads:883,totalCrossrefCites:4,totalDimensionsCites:2,hasAltmetrics:0,abstract:"The analysis of the current situation in the wireless communication market shows an increase in the workload, which leads to an increase in the need in additional resources. However, the uneven loading of the infrastructure nodes leads to their loss of use; so, there is a need in introducing technologies that both do not lead to downtime of equipment and ensure the quality of load service during the day. An overview of the NFV virtualization technology has shown that it is appropriate to build wireless networks, since it provides the necessary flexibility and scalability. The method for determining the location and capacity of reserved computer resources of virtual network functions in the data centers of the mobile communication operator, method for determining the size of computing resources constant configuration time interval, and distributed method of local reconfiguration of the virtual network computing resources in the case of a failure or overload are proposed. Thus, configuration, operation, and reconfiguration processes in mobile core network with virtualized functions are described.",signatures:"Larysa Globa, Svitlana Sulima, Mariia Skulysh, Stanislav Dovgyi and Oleksandr Stryzhak",downloadPdfUrl:"/chapter/pdf-download/69472",previewPdfUrl:"/chapter/pdf-preview/69472",authors:[{id:"105085",title:"Prof.",name:"Larysa",surname:"Globa",slug:"larysa-globa",fullName:"Larysa Globa"},{id:"281033",title:"Dr.",name:"Mariia",surname:"Skulysh",slug:"mariia-skulysh",fullName:"Mariia Skulysh"},{id:"295095",title:"Ph.D. Student",name:"Svitlana",surname:"Sulima",slug:"svitlana-sulima",fullName:"Svitlana Sulima"},{id:"295097",title:"Dr.",name:"Oleksandr",surname:"Stryzhak",slug:"oleksandr-stryzhak",fullName:"Oleksandr Stryzhak"},{id:"312644",title:"Prof.",name:"Stanislav",surname:"Dovgyi",slug:"stanislav-dovgyi",fullName:"Stanislav Dovgyi"}],corrections:null},{id:"67391",title:"Mobile Distributed User Interfaces",doi:"10.5772/intechopen.86563",slug:"mobile-distributed-user-interfaces",totalDownloads:682,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"The success of a mobile application is due to the usability that the graphical user interface provides. A feature of mobile devices is the limited space for the interaction and the deployment of the graphical user interface. For this reason, user interfaces can have different interaction modalities. However, to work with information that can be complex to display, the use of modalities may not solve this problem. A possible alternative to provide more workspace to the users is through a distributed user interface (DUI). A mobile DUI allows the mobile applications to use two or more devices to execute the user interface. These devices can be Smart TVs or wearable such as smart watches. In this work the concepts of mobile DUI design are discussed, some use cases are presented and it is shown that its development in mobile devices is feasible.",signatures:"Erika Hernández-Rubio, Amilcar Meneses-Viveros and Sonia G. Mendoza-Chapa",downloadPdfUrl:"/chapter/pdf-download/67391",previewPdfUrl:"/chapter/pdf-preview/67391",authors:[{id:"289740",title:"M.Sc.",name:"Erika",surname:"Hernández-Rubio",slug:"erika-hernandez-rubio",fullName:"Erika Hernández-Rubio"},{id:"289742",title:"Dr.",name:"Amilcar",surname:"Meneses-Viveros",slug:"amilcar-meneses-viveros",fullName:"Amilcar Meneses-Viveros"},{id:"301053",title:"Dr.",name:"Sonia G.",surname:"Mendoza-Chapa",slug:"sonia-g.-mendoza-chapa",fullName:"Sonia G. Mendoza-Chapa"}],corrections:null},{id:"69042",title:"Metabolic Health Analysis and Forecasting with Mobile Computing",doi:"10.5772/intechopen.88872",slug:"metabolic-health-analysis-and-forecasting-with-mobile-computing",totalDownloads:603,totalCrossrefCites:2,totalDimensionsCites:2,hasAltmetrics:0,abstract:"The goal of this paper is to demonstrate feasibility of a concept of mobile computing to help users to reach and maintain metabolic health. For this purpose, we analyze data from 12 clinical studies with a total of 39 study arms from the international literature to show that insulin resistance measured by HOMA-IR could be followed and its changes could be predicted using our weight-fat mass-energy balance calculations taking advantage of the significant and strong correlation between changes of HOMA-IR and state variables of the energy metabolism like changes of weight, fat mass, R-ratio, Rw-ratio, and fat burning fraction of the energy production. We introduce here our extended weight-fat mass-energy balance calculation to assess de novo lipogenesis, adaptive thermogenesis, and the 24-hour nonprotein respiratory quotient. We show how we can analyze and predict individualized state variables of the metabolism, which serve as metrics for the quantification of the interrelationship between energy metabolism and insulin resistance facilitating management and self-management of insulin-resistance related conditions including obesity, fatty liver, prediabetes, metabolic syndrome, and type 2 diabetes. The feedback of individualized metrics using tools of the digital health era may amount to channeling focus also to patient-centered individualized care and to accelerating nutrition research.",signatures:"Zsolt P. Ori",downloadPdfUrl:"/chapter/pdf-download/69042",previewPdfUrl:"/chapter/pdf-preview/69042",authors:[{id:"273754",title:"M.D.",name:"Zsolt P.",surname:"Ori",slug:"zsolt-p.-ori",fullName:"Zsolt P. Ori"}],corrections:null},{id:"71868",title:"Energy Consumption Model for Green Computing",doi:"10.5772/intechopen.92129",slug:"energy-consumption-model-for-green-computing",totalDownloads:659,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:1,abstract:"This chapter shows the environmental measurement factors that define the indicators within an architecture composed of Goods, Networks and Services (GNS). These references are obtained from the energy consumptions in the measurement processes. This lets obtaining several analyses important from the behavior in the energy consumption schemes. The application of these factors was determined from the energy generation processes, whose units are in metrics adequate for electricity and heat according to each system observed, and the same from the energetic consumption of the same data centers that helped to determine these characteristics. These indicators applied in an environment of Information and Communications Technology (ICT) define comparisons and be specified as the basis characterizing the analysis of energetic performance. The tests show the energy consumption and carbon footprint. This experiment seeks to increase the quality of services and decrease the energy consumption. This let us use efficiently the computational resources minimizing the environment impact. To achieve this target, it was used to apply indicators in green computing environment, like it can be mentioned: The Power Usage Effectiveness (PUE) and Data Center Effectiveness (DCE). With the use of these indicators can derive a generic model of energy consumption for a GNS system.",signatures:"Jesus Hamilton Ortiz, Fernando Velez Varela and Bazil Taha Ahmed",downloadPdfUrl:"/chapter/pdf-download/71868",previewPdfUrl:"/chapter/pdf-preview/71868",authors:[{id:"283288",title:"Dr.",name:"Jesus Hamilton",surname:"Ortiz",slug:"jesus-hamilton-ortiz",fullName:"Jesus Hamilton Ortiz"},{id:"26364",title:"Dr.",name:"Bazil Taha",surname:"Ahmed",slug:"bazil-taha-ahmed",fullName:"Bazil Taha Ahmed"},{id:"319427",title:"Dr.",name:"Fernando",surname:"Velez Varela",slug:"fernando-velez-varela",fullName:"Fernando Velez Varela"}],corrections:null}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"10417",title:"Collaborative and Humanoid Robots",subtitle:null,isOpenForSubmission:!1,hash:"dd42dd44dc386e591e8ff04956762023",slug:"collaborative-and-humanoid-robots",bookSignature:"Jesús Hamilton Ortiz and Ramana Kumar Vinjamuri",coverURL:"https://cdn.intechopen.com/books/images_new/10417.jpg",editedByType:"Edited by",editors:[{id:"283288",title:"Dr.",name:"Jesus Hamilton",surname:"Ortiz",slug:"jesus-hamilton-ortiz",fullName:"Jesus Hamilton Ortiz"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"858",title:"Recent Developments in Mobile Communications",subtitle:"A Multidisciplinary Approach",isOpenForSubmission:!1,hash:"d9051720bd0c3f7ff7f171bcbbb599f0",slug:"recent-developments-in-mobile-communications-a-multidisciplinary-approach",bookSignature:"Juan P. 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Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"45283",title:"Seeing with Two Eyes: Integration of Binocular Retinal Projections in the Brain",doi:"10.5772/56491",slug:"seeing-with-two-eyes-integration-of-binocular-retinal-projections-in-the-brain",body:'In the visual system, accurate representation of images throughout each stage of processing requires the maintenance of topography in different but interconnected brain regions [1]. Topographic organisation also allows information from both eyes to be precisely integrated, underpinning depth perception and interpretation of the visual world. In the absence of this organisation within and between eye-specific projections, visual information becomes scrambled within the brain and function is compromised [2,3]. Despite advances in recent years that have given insight into the mechanisms responsible for topographic mapping of visual projections within the brain, comparatively less is known about the mechanisms that underpin the integration of binocular pathways. The aim of this review is to summarise what is known about the developmental processes that establish topography in binocular projections in key animal models. We review experiments in mice that examine the development of binocular projections to the superior colliculus and address the role of molecular guidance cues. We will also describe experiments in Siamese cats that shed light on the organisation of binocular projections to the lateral geniculate nucleus and visual cortex. Finally, we will discuss this research in the context of early diagnosis and rehabilitation strategies of loss of binocular vision in humans.
We will first describe the development and organisation of contralateral (crossed) and ipsilateral (uncrossed) visual projections to the major visual brain centres: the superior colliculus (SC), dorsal lateral geniculate nucleus (dLGN) and primary visual cortex (V1), with focus on their integration in relation to visual space. We will then consider how topography is established in the ipsilateral retinocollicular projection; specifically we will review recent evidence for the role of axon guidance molecules in organising the ipsilateral projection [2,3] in the context of early experiments which explored the role of the contralateral retinal projection in integrating binocular projections [4,5].
Light casts an image onto the retina, is transduced into electrical signals by photoreceptors, and after intra-retinal processing the information is sent to the brain by the only efferent cells of the retina, the retinal ganglion cells (RGCs). Two of the major RGC outputs in the mouse are to the contralateral superior colliculus (SC) in the midbrain (the mammalian homologue of the optic tectum) and to the contralateral dorsal lateral geniculate nucleus (dLGN) of the thalamus. Neurons in the dLGN that receive retinal input then project to the ipsilateral primary visual cortex (V1). In addition, a subset of retinal ganglion cells project to the ipsilateral LGN and SC, approximately 3% of all RGCs in pigmented mice [6] and rats [7]. This circuitry is summarised in Figure 1. Our focus is the integration of ipsilateral and contralateral projections within the SC, LGN and visual cortex to provide the basis for binocular vision. This is key for processes such as depth perception and acuity in the frontal visual field. Other visual projections, although important in vision (reviewed extensively in Sefton et al., 2004), are not considered further here.
A schematic diagram of the main visual system circuitry in the mouse. dLGN= dorsal lateral geniculate nucleus, SC= superior colliculus, V1=primary visual cortex.
In most species, the number and distribution of ipsilateral RGCs within the retina correlates with binocular overlap and the orientation of the orbits [8]. Mice have laterally placed eyes and limited binocular vision; in pigmented mice, ipsilaterally projecting RGCs represent about 3% of the total RGCs population and are located in a temporo-ventral cresent, interspersed among a majority of contralaterally projecting cells [6]. Albino mice have an even smaller proportion with between 0.5-2% of the total RGC population projecting ipsilaterally [9]. This arrangement provides binocular vision in a 40-60o strip within the superficial visual field [10,11]. In normal cats, the proportion of ipsilaterally projecting RGCs is 17% [12], but is reduced to about 13% (variable) in Siamese cats [13]. By contrast, in primates (including humans) with frontally oriented eyes, about 50% of RGCs project ipsilaterally, and this figure is also thought to be reduced in albinos [14]. Unlike in mice, in cats and primates, there is a strict vertically oriented zone of transition at the area centralis/fovea between the purely contralateral projection found in nasal retina to the predominantly ipsilateral projection in temporal retina [13], although in Siamese cats, this zone of transition is shifted towards temporal retina [13]. In both species, the resulting binocular field is extensive and oriented towards the frontal field (120o in cats, 140o in primates; [8].
Stereopsis is the ability to perceive depth based on the differences between the information arriving on the two retinae [15], A key concept in stereopsis is that of the horizontal horopter [16], the collection of points in visual space at which objects are detected by corresponding (anatomically identical) points in the two retinae [17]. In species with frontally placed eyes and large binocular overlap the horopter takes the shape of a curved line running through the fixation point and fusion of images occurs only in a small volume of visual space around the horopter, known as “Panum’s fusional area” [18]. Points in this area fall on slightly different retinal locations and thus lead to “retinal disparity”, the basis of quantitative stereoscopic depth discrimination [17]. Species with frontally oriented eyes often have the ability to improve depth perception by fixating, or moving the eyes, so that the two foveae or areae centralis (the retinal regions of highest visual acuity in primates and cats respectively) are aimed at the object of interest [17]. In humans, fixation allows the perception of depth differences of up to 0.0014 degrees [17].
Binocular vision or stereopsis occurs when neural circuits use the disparity (parallax) information to compute depth [15]. In order for these computations to occur, the projections (ipsilateral and contralateral projections) from each eye that carry information from Panum’s area must be brought together in the same brain regions and on to binocularly driven, disparity sensitive neurons, a phenomenon that occurs in steps as information is passed along the visual pathway via the dLGN [19].
There is an organisational challenge in the integration of ipsilateral and contralateral projections within visual brain centres. The eyes are reflectively symmetrical across the midline and RGCs map based on their position to the nose, therefore visual space is mapped in opposite orientations in each hemisphere (Fig 2A). For example, in the SC, nasal retina maps to caudal SC and temporal retina maps to rostral SC using gradients of ephrin guidance cues (amongst other molecules, discussed below; [20]. Therefore, in order to integrate the ipsilateral projection with the contralateral one and maintain a continuous and coherent representation of visual space, the ipsilateral projection must “flip” relative to the contralateral one (fig 2B; [5,6,21]. Note that this holds true not only for mice with laterally positioned eyes, but also for cats and humans with frontally positioned eyes [22].
Monocular and binocular representation of the visual field in the superior colliculus (SC) in mice, modified from [
The reversal of the orientation of the ipsilateral relative to the contralateral map is also observed in the dLGN as illustrated by the Siamese cat experiments (see below). This organisation raises several possibilities of the mechanisms underpinning the organisation of the ipsilateral projection. One possibility is that unique guidance cues that are specific to the uncrossed projection might be expressed on RGC axons or within the SC. Alternatively, the same molecular cues might differentially guide ipsilateral and contralateral RGCs. A third possibility is that the ipsilateral projection maps onto the contralateral projection by activity-dependent mechanisms based on the similarity of visual information from both eyes. We will describe the development of both structures (SC and dLGN) and for each, review experiments that address the possible mechanisms of integration of ipsilateral and contralateral projections.
Retinal ganglion cells are generated between embryonic (E) days 11-19 in pigmented mice [23]. Contralaterally and ipsilaterally projecting RGCs are generated at the same time, though not on the same timetable; cells which cross at the optic chiasm are generated throughout this period, whereas cells that do not cross are generated within ventro-temporal retina mostly between E11-E16 [23]. Murine RGC axons reach the optic chiasm by E14 [24] where they make the decision to cross (contralateral RGCs) or not (ipsilateral RGCs; [25]).
The superior colliculus of the midbrain has an important role in integrating cortical and retinal inputs, and functionally is involved in recognition, localization and responsiveness to novel stimuli (Sefton et al., 2004). The majority of visually driven input to the superficial layers of the SC is from the retina and the primary visual cortex and, as for the dLGN, mapping of the ipsilateral and contralateral visual projections provides a continuous representation of the visual field even though the inputs are anatomically segregated. There are also auditory and somatosensory inputs to intermediate and deep SC layers as well as input from secondary visual cortices, parabigeminal nucleus, and a large number of nuclei in the brainstem [26,27]. Major outputs are to the thalamus, the pons, as well as brainstem nuclei and spinal cord segments involved in the control of head and neck movements [10,26,27,28,29].
There are seven layers in the superior colliculus in mammals. The most superficial three layers primarily receive retinal input: the
The neurons of the SC in the mouse are produced between E11-E13, with the most superficial layers being produced last [33]. Layers resembling those seen in the mature mouse are present by postnatal (P) day 6 [33,34]. Contralateral RGC axonal outgrowth is present in the SC by E15 and continues after birth [24,33,34,35]. Ipsilateral fibres appear later, around E19 until P3 [24]. Incoming contralateral [36] and ipsilateral [37] axons all extend past their appropriate termination zones and as a result, input is initially scattered and widespread [38], with only rough retinotopic topography and without segregation of ipsilateral and contralateral fibres. Refinement of the projections (topography and eye-specific) occurs by the formation along the rostrocaudal axis of interstitial branches that are targeted to the location of the topographically appropriate termination zone [39]. There is evidence for the interaction between TrkB/BDNF and ephrin-A ligands to promote topographic specific branching [40]. These branches form dense arborisations within the superficial grey layer of the SC and any ectopic branches and overshooting axons are removed [41,42,43,44]. Pruning begins to occur by P4 and is complete by P8-P11 for both contralateral and ipsilateral projections [24,37]. As a result, the retinocollicular map is established and refined in the first two postnatal weeks [45]
In the mouse, contralateral RGC axons arrive in the dLGN by E16 and ipsilateral axons by E18 [24]. Mature retinotopy in the dLGN is mapped such that temporal axons project to dorsomedial dLGN and nasal axons project to ventrolateral dLGN. There is overlap of contralateral and ipsilateral fibres during the first postnatal week; segregation occurs before the eyes open and is complete by the end of the second postnatal week (P12-14) [41,46] with the ipsilateral terminals being restricted to an isolated roughly trapezoid shape patch within the contralateral terminals [47,48]. Carnivorous mammals such as cats, ferrets and shrews, as well as primates, have more complex layering and segregation within the dLGN based on the characteristics of the RGC inputs [49], reflecting their more sophisticated thalamo-cortical visual processing circuitries.
From the LGN, information from both eyes is carried to neurons in layer 4 of primary visual cortex. In cats and primates [50,51], ipsilateral and contralateral inputs are segregated into ocular dominance columns in layer 4 throughout V1. By contrast in rodents, only lateral visual cortex receives binocular inputs with the medial part being purely monocular [52,53,54]. Nonetheless, in all mammals, ipsilateral and contralateral inputs converge on neurons in layer 2/3, where processing of binocular disparity and thus stereopsis occurs.
The circuitry of the visual system is established via complex guidance mechanisms that involve responses to molecular cues, and interactions between projections by activity-dependent mechanisms [1,55,56]. During development, newly-generated neurons send out developing axons that are guided in their outgrowth via cues which may be diffusible or cell-surface bound, and which may attract or repulse actively growing processes [56]. These various molecular cues assist in targeting, axon fasciculation, and the pruning of inappropriate axonal arbours. Targeting is both structural (in assisting the axon to locate the correct structure within the brain) and detailed (so that the connections are to the correct postsynaptic cell in the appropriate cell layer). In addition, activity dependent pruning further refines the developing projections such that accuracy is maximised [57,58,59]. This review will focus on Eph/ephrin interactions and Teneurins since these proteins have been shown to be important in establishing topography within the ipsilateral as well as the contralateral projection [2,3]. Other guidance cues for example semaphorins, engrailed and L1 are crucial for the contralateral projection [60,61,62] In addition other molecules that have been implicated in eye specific segregation and terminal arborisation, but not in fundamental topographic organisation of the ipsilateral projection, such as BDNF, nitric oxide and the NMDA receptor [63,64,65] will not be discussed further.
The property which makes ephrins and Teneurins unique and ideally suited to topographic mapping between brain regions is their graded expression patterns. This mechanism of action is consistent with the ‘chemoaffinity hypothesis’, first proposed by Sperry [66] some time before the molecules were identified. This theory predicted that topographic mapping would require unique cytochemical cues expressed by each RGC and its target neuron in the SC. Within the visual system, the Eph/ephrin and teneurin proteins fulfilled this prediction by their graded expression across the origin and target structures in interconnected regions (retina – SC ; retina – dLGN – visual cortex) [55], conferring a unique coordinate in each structure by amount of protein [3,67,68,69].
Ephrins are cell-surface bound ligands that bind to Eph receptors, which are receptor tyrosine kinases. The Eph/ephrin interaction is involved in cell-contact mediated signalling that aids cell and tissue organisation [70,71] There are two classes of ephrin ligands, ephrin-A and ephrin-B, classified according to mechanisms of membrane attachment. The members of the ephrin-A class are linked to the membrane by a glycerophospholipid and the ephrin-B class ligands are transmembrane molecules [72]. There are multiple ephrins and Eph receptors in the two classes; with some exceptions [73], ephrin-As will only bind to EphA receptors though binding within each class is non-specific and ligands are able to bind to multiple receptors [70].
Ephs and ephrins are expressed during nervous system development by the target tissue and growth cones of the developing axon. Following Eph-ephrin binding, the growth cone can be attracted (primarily through EphB-ephrin-B signalling) or repulsed (EphA-ephrin-A signalling) directing axons into appropriate regions within brain structures and setting up tissue boundaries and internal organisation [74,75]. The mechanism of growth cone stabilisation or collapse is by modulation of the cytoskeleton [76,77] and can occur bidirectionally via the ephrin and/or the Eph receptor [78,79]. In addition, both receptors and ligands are found to be expressed in the tissue of origin and in the target cells, further regulating the signal transduction process and sensitivity to target guidance cues [80,81,82].
During development retinal ganglion cells make a crucial choice at the chiasm. The partial decussation of retinal axons at the optic chiasm is thought to be due to the action of ephrin-B ligands, specifically ephrin-B2 [83] which is expressed on specialised radial glial cells that are situated each side of the midline at the base of the third ventricle [84]. This localised ephrin-B1 at the chiasm causes repulsion of ipsilaterally projecting RGC axons which express EphB1 [85,86,87] and as a result they do not cross but remain on the same side of the brain. However, EphB triple knockout mice retain some ipsilaterally projecting axons, suggesting that other molecules, such as Nogo [88,89] may also play a role.
Within the LGN, ephrin ligands and Eph receptors are expressed as gradients correlating topographic organisation of the contralateral projection [41]. During postnatal development, there is a correlation between a peak of ephrin expression and the segregation of eye-specific input to the dLGN when expression becomes restricted to the contralateral eye input areas of the dLGN, but no evidence that Eph/ephrin interactions regulate mapping of the ipsilateral retinogeniculate projection [41]. Similarly in visual cortex, there is evidence for a role of Eph/ephrin interactions in establishing contralateral but not ipsilateral topography [41,58].
By contrast, there is strong evidence for a role of Eph/ephrin interactions in establishing ipsilateral topography in the SC. Graded expression of ephrin ligands was first demonstrated in the tectum of the chick [67,68] and knockout mice subsequently confirmed the key role of these proteins in mapping the contralateral visual projection [45,90]. More recently, a role for ephrins in mapping the ipsilateral projection in the superior colliculus was demonstrated by anatomical tracing and electrophysiological experiments which compared the distribution of ipsilateral and contralateral projections [2]. The ipsilateral projection was expanded to fill the full extent of the SC and the organisation of the projection was highly abnormal and misaligned with the contralateral one. Furthermore, the study showed a behavioural deficit that could be rescued by blocking the input to one eye, confirming that although small in size, the ipsilateral projection has significant functional impact [2].
In most species studied to date, the Teneurin family contains four members (Ten-m1-4; [91], which are large transmembrane proteins that are found as homo or heterodimers [92,93]. They are believed to interact with Ten-m molecules on other cells via homophilic or heterophilic interactions [92,94].
Like Ephs and ephrins, Teneurins are expressed as gradients within many regions of the developing brain [95] and relevant to this chapter, have matching gradients across the interconnected visual brain regions (retina, dLGN, SC and visual cortex; [3,96]. However, in contrast to the Ephs and ephrins, very little is known about how the Teneurins exert their guidance activity. In response to binding, Teneurins have several potential signalling methods involving the extracellular and intracellular domains. The C-terminus (extracellular domain) of Teneurins can be cleaved by furin to produce a peptide with homology to the corticotrophin releasing factor (CRF; [97,98]) that has been shown to influence neurite extension and anxiety-related behaviours [99,100]. In addition, the intracellular domain has multiple tyrosine phosphorylation sites, calcium binding motifs and two SH3 binding sites, providing opportunities to interact with many signalling pathways as well as the cytoskeleton [101]. Furthermore, the intracellular domain has been shown to translocate to the nucleus and regulate transcription [101,102].
One of the Teneurin family members, Ten_m3, has been shown to play a key role in the organisation of eye specific inputs in the dLGN and visual cortex [3,103] and similar to the ephrins, is expressed in matching gradients across the retina and visual brain regions [3]. However, unlike Eph/ephrin interactions, Ten_m3 appears to have no impact on the contralateral projection. Expression peaks during early postnatal development and is highest in regions of the visual pathway associated with the ipsilateral projection. The role of Ten_m3 in mapping the ipsilateral projection was demonstrated in Ten_m3 knockout mice, in which normal numbers of ipsilaterally projecting RGCs are present, but their terminals extend abnormally broadly within the dLGN, covering the full dorso-medial to ventrolateral extent of the nucleus and invading regions that are normally monocular (contralateral) [3]. Normal segregation of the eye-specific inputs in these mice combined with normal contralateral topography further confirmed a specific effect of Ten_m3 on topographic mapping of ipsilateral projections. Aberrant projections were also observed in visual cortex, where ipsilateral input was not restricted to the laterally located binocular zone, but rather formed patches within the monocular region that are reminiscent of ocular dominance domains [103]. Furthermore, recording from cortical cells confirmed that binocular stimulation leads to functional suppression of mismatched binocular inputs [103]. Similar to results with ephrin-A knockout mice, Ten_m3 have abnormal visual function that can be rescued by blocking the input from one eye by injecting tetrodotoxin [3]. Ten_m3 is also implicated in mapping the ipsilateral projection within the SC [37] with knockout mice displaying mapping errors in both horizontal and azimuthal axes of the representation of the visual field. This study also examined for the first time the developmental time-course of ipsilateral retinocollicular projections relative to contralateral ones.
For the Ephs and ephrins, an important tool used to study this graded expression pattern was the stripe assay, which studied the growth behaviours of RGCs from different retinal locations on substrates made up of collicular membranes [104,105]. Temporal axons were more inhibited than nasal axons, and though they would grow on both anterior and posterior collicular membranes, they showed a preference for anterior membranes, their natural target [106]. Nasal axons did not show a consistent preference (although see [107]). Perhaps surprisingly, Ten-ms have not been studied in the stripe assay, possibly because the technique has not been used in recent years: although membrane stripe assays provided a foundation for understanding how the retinotopic map develops, there are limitations with these studies. The artificial
For both molecules, transgenic mice have been key tools in elucidating their role in guiding visual projections, in particular single, double and triple ephrin-A knockout mice [45,112,113], as well as Ten_m3 knockout mice [3,37], which provide much of the data reviewed below. Other Eph transgenic mice have been useful in elucidating the principles of topographic mapping by Ephs, in particular an elegant study by Brown and colleagues which demonstrates the importance of graded expression in point to point mapping [69].
As reviewed above, the development of the ipsilateral retinocollicular projection is at least in part regulated by molecular guidance cues. However, studies that removed one eye at birth have indicated that the contralateral projection has an influence on the development of the ipsilateral projection. In monocular enucleation, one eye is removed at, or in some cases, before birth [114,115]. The age of enucleation has a significant effect on the surviving ipsilateral pathway. Rats enucleated at birth have an expanded uncrossed retinofugal pathway whereas those enucleated prenatally (E16.5) develop a smaller pathway than normal [114]; there is a greater number of retinal ganglion cells which project ipsilaterally and this seems to be due to an increase in survival of those retinal ganglion cells which would die under normal conditions [7]. A similar effect is seen in pigmented mice enucleated
The main change in the surviving ipsilateral RGC pathway is in the failure of retraction of growth into more caudally located regions of the superior colliculus that are normally occupied by terminations from the contralateral eye. In rats enucleated on at birth and then examined as adults, functional terminations were recorded in locations more caudal relative to their retinal position than seen in the ipsilateral projections of normal rats [5]. Crucially, the topography of this projection is as per the normal (non-enucleated) ipsilateral pattern. A similar result was obtained in the dLGN following enucleation in rats [118]. However, when rats were enucleated before birth, there was a reversal in the polarity of rostral-caudal mapping in the SC [5]. This suggests the importance of prior innervation of contralateral axons to the SC in the final distribution of ipsilateral terminations as contralateral RGC axons enter the SC prior to birth, whereas the ipsilateral axons arrive later [24].
The finding of normal ipsilateral topography in the SC following monocular enucleation at birth is particularly interesting when considered in the context of how RGC axons respond to the ephrin gradient. Typically, temporal RGC axons terminate in the contralateral rostral superior colliculus. However, those that project ipsilaterally terminate in more caudal positions, suggesting they either ignore or respond differently to the repulsive ephrin gradient that restricts contralateral temporal axons to rostral SC (Figure 2). Moreover, the results highlight that ipsilateral RGC axons can terminate in topographically appropriate locations even in the absence of the contralateral retinocollicular topographic map.
A key model that has provided insight into the organisation of the ipsilateral projection in the LGN and visual cortex is the Siamese cat. As described by several groups, the visual system of the Siamese cat has a reduced ipsilateral retinal projection, resulting in significant reorganisation within the dLGN and visual cortex [119,120,121]. The abnormality has been definitively linked to a homozygous mutation at the albino locus[122] which affects chiasm crossing by RGC axons [123]. Interestingly, at least in the cat, the extent of ipsilateral and contralateral projections is different for different RGC subtypes [124,125]. It remains unclear to this day how changes in pigmentation affect this specific aspect of axonal guidance [126].
In Siamese cats, retinogeniculate fibers representing about the first 20 degrees of ipsilateral visual field in each eye cross aberrantly in the optic chiasm, providing a larger retinal input to the contralateral dLGN [119]. There is not sufficient space for these aberrant fibres to terminate in the A lamina of the dLGN where contralateral fibres would normally arrive. Therefore they overflow into the A1 lamina of the dLGN that normally receives ipsilateral input [119,127]. Furthermore, anatomical and physiological studies of the LGN confirm that this additional projection aligns itself with the topography of the ipsilateral but not contralateral projections, resulting in a “mirror image” of the normal representation [119].
The organisation of ipsilateral projections within the dLGN is thus severely disordered and predictably results in downstream rearrangement of visual pathways in the geniculocortical [121,128], corticogeniculate [129,130] and callosal projections [131,132], as well as cortical associational pathways [130]. Interestingly, when an albino-like representation of the ipsilateral hemifield is induced in the visual cortex of normally pigmented cats, these downstream defects are also observed, suggesting that they are secondary to the initial misrouting of ganglion cells at the optic chiasm [133] rather than a direct consequence of the albino mutation [134].
Most attention has been focused on the geniculocortical pathway, where previous work has reported two distinct modes of processing the aberrant retinal input to the LGN [135]. Work carried out at Harvard defined the “Boston” variety of Siamese cat [121], in which the input that arises from the abnormal section of the dLGN is modified to integrate into cortical map and provide a continuous topographic representation of the visual field. By contrast, work in a Chicago laboratory defined the “Midwestern” Siamese cat [128], in which the abnormal input from the dLGN is silenced. Importantly, these two models provided an opportunity to examine the behavioural consequences of abnormal binocular inputs to LGN and visual cortex. In agreement with the low numbers of binocularly driven cells in visual cortex [136], stereoscopic depth perception and binocular summation in contrast sensitivity have been found to be impaired in Siamese cats [137,138]. However, there was no correlation between squint and the extent of ipsilateral visual field represented in the visual cortex for either variety of Siamese cat [127].
The importance of binocular integration in the visual centres is evidenced by the loss of visual acuity that can occur in amblyopic individuals. Amblyopia is a broad pathological condition where there is dysfunction in the processing of visual information [139]. It can be caused by misalignment of the retinal output to the brain, in disorders such as strabismus (ocular misalignment, such as in ‘lazy eye’ syndromes), anisometropia (differences in refractive error), and monocular deprivation [139]. The downstream effects of such pathologies involve a degradation of visual acuity and other visual functions associated with binocular processing due to misalignment of retinal inputs.
A more complete loss of visual function occurs with monocular enucleation in which one eye is removed, and provides a unique opportunity to study the importance of binocularity in humans. In such cases, both motion processing and oculomotor behaviour are reduced in enucleated individuals [140]. This processing occurs in the associative visual cortex areas and in the midbrain and suggests the importance of binocular summation in these tasks. However, in some tests related to spatial acuity, enucleated individuals performed better than normally sighted people, although this was strongly related to the age at which enucleation occurred. This may be due to the adaptable nature of the cortex, with incoming connections from the intact eye taking up a relatively larger area of the cortex.
Although rodents are often used as models for the study of the visual system, the crossover at the optic chiasm (3%) is considerably less than that of humans (50%). However, the treatment paradigms which have been studied in rodents may still be applicable to humans due to the similarities in the plastic nature of the visual cortex. The visual cortex is especially sensitive to external influences such as amblyopic pathologies during the critical period. This can last up to 7 years in humans, but only 5 weeks in mice (~32 days [141]; rats [142]). During this time, if there are any abnormalities, they can be successfully treated by intervention because the neuronal connections are still developing. The task becomes considerably harder once the critical period has closed, but work in rodents can help to study treatments which may work in older individuals in recovering visual acuity.
Loss of visual acuity can be induced in a rodent model of through the use of monocular deprivation, in which one eyelid is sutured during the critical period of postnatal development and the remaining eye then becomes dominant in the visual cortex, a phenomenon first described in cats [143]. Typically, such a condition can be reversed if the deprivation effects are terminated during the critical period [144,145,146,147] and, though it is possible, there is less chance of recovery if not treated until adulthood [148]. In addition to pharmacological interventions, which at present lack clinical feasibility [149], a promising experimental treatment recently described in the rodent model involves environmental enrichment, which has been shown to rescue the visual acuity of amblyopic rats in adulthood if there is damage to one eye [150].
Binocular vision requires integration of the inputs from both eyes onto neurons in the major visual brain centres. There is a challenge to understanding how these distinct inputs map the binocular field because the ipsilateral projection maps in the opposite direction relative the contralateral one. Most of the known cues which guide the development of visual mapping in the brain relate to the contralateral eye only, with little known about ipsilateral mapping. Animal models, especially in cat and rodents, have been used to study both normal and abnormal integration of the two eyes and to elucidate the mechanisms underpinning this process. There is also the capacity for further work in animal models, especially with regard to possible interventions for disorders of binocular integration such as amblyopia.
We are grateful to Marissa Penrose for figure production. JR is a National Health and Medical Research Council Australia Senior Research Fellow.
Nowadays, nanomaterials have been applied in most major scientific and industrial fields [1, 2, 3, 4, 5]. Such wide ranges of applications are possible owing to the opportuneness of the extremely different classes of nanomaterials with various novel properties. Noticeably, the biocompatibility of the nanomaterials is a great issue for the scientists to use them in the biomedical applications including, among others, biosensors and drug delivery systems.
A biosensor is a device that can produce a measurable signal proportional to the concentration of the biological analyte target [6, 7]. Biosensors are one of the most widely studied topics due to their contributions to development of innovative medicines, which could be applied as adapted drugs or highly sensitive detectors of disease markers [8, 9, 10, 11, 12, 13, 14, 15].
Biosensors become new inventions that are hopeful to help an effective diagnosis in the current COVID-19 pandemic and also to remove experimental drugs during the human trials when they show any unwanted adverse effect [16, 17, 18]. Generally, a given biosensor has three components including a biological element, a transducer, and a detector [19]. The biological element leads to a detection of the analyte and a generation of a response. This response is thereafter transformed into a detectable signal through a transducer, which is often the most challenging part. Consequently, the generated signal is intensified and processed via an amplifier for exhibiting it by an electronic display device. Figure 1 schematically illustrates the various steps of the signal processing in a biosensor.
Steps of signal processing in a biosensor.
Nanomedicine emerges as a revolutionary medical technology, particularly in the cancer therapy. Recently, much effort has been devoted to the study of nanostructures for applications in nanomedicine domain owing to their particular role in cancer therapies [20, 21, 22, 23, 24, 25, 26]. Undoubtedly, the most challenging task in cancer therapy is the finding of a suitable drug delivery system. As the design of efficient and promising drug delivery systems could be developed on the basis of nanostructures, a survey of the relevant prospective drug delivery agents constitutes a primordial subject [27, 28, 29].
A key requirement for a drug delivery system is that the delivery of the drug to the targeted sites needs to be associated with a considerable decrease in adverse effects. It is worth mentioning that the experimental research in this field is rather long and expensive, and thereby computational studies can effectively help experimentalists in the design of nanocarriers [30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45]. In this regard, the nature of the interactions between drugs and nanostructures emerges as an essential step. Figure 2 represents a schematic boron-based drug delivery system.
A schematic boron-based drug delivery system.
Boron is an effective element in a wide range of fields. The history of boron chemistry started from the isolation of a series of simple boranes by Stock and his co-workers [46]. In the last two decades, several types of low-dimensional boron nanomaterials such as nanoclusters, nanowires, nanotubes, nanobelts, nanoribbons, nanosheets, and monolayer crystalline sheets have been experimentally synthesized and characterized [47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57]. These boron-based nanomaterials exhibit different bonding patterns from those of bulk boron crystals that exist as the α-, β-, γ-rhombohedral, and α-tetragonal forms. Accordingly, their resulting unique physical and chemical properties are fascinating from a standpoint of materials science. Noticeably, boron-based nanomaterials, such as clusters, can be used as superatoms or building blocks of other nanostructures with novel functionalities and properties.
Of the various types of boron-based nanomaterials, the pure boron clusters (BC) represent a distinctive category of structures owing to their unconventional structures and bonding patterns. During the past decades, boron-based compounds at the nanoscale have been the subject of a large number of theoretical and experimental studies. These systems have intriguing features with different structures such as planar, quasi-planar, ribbon, bowl, cage, teetotum, tubular drum-like forms, multiple ring tubes, and fullerenes [58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72]. This arises from the fact that the boron atom with electron deficiency can take part in both localized and delocalized electronic systems in many geometric shapes. In other words, the most attractive nature of boron skeletons is due to the electron deficiency of the boron atom, leading to a rich bonding capacity.
The neutral Bn clusters with the size of smaller than 20 atoms prefer a planar or quasi-planar structure, except for B14 which has a fullerene-type [73]. The B40, B32C4, and B32Si4 fullerene-like clusters together with the B30 and B36 bowls have attracted some interest in biomedical applications. The schematic structures of B40, B32C4, B32Si4, and B36 are provided in Figure 3.
Shapes of the B40, B32C4, B32Si4 fullerenes, and B36 bowl clusters.
Tai et al. [74] reported a computational study on the structural, electronic properties, and chemical bonding of the bowl-like B30 global-minimum cluster, exhibiting a disk-aromaticity [11]. Similarly, the B36 was theoretically predicted to have a bowl shape stabilized by a disk aromaticity [75]. Piazza et al. [76] subsequently reported an experimental identification of the neutral B36 from the photoelectron spectrum of the B36− anion, confirming a highly stable quasi-planar boron cluster with a central hexagonal hole, providing the first experimental evidence that single-atom layer boron sheets with hexagonal vacancies are potentially viable. The neutral B36 is in fact the smallest boron cluster exhibiting a sixfold symmetry and a hexagonal hole, and it can be viewed as a potential basis for extended two-dimensional boron sheets. Recently, it was revealed that the B364− cluster has a six-membered hole, but the presence of four extra electrons renders the considered system difficult to be synthesized [77]. Thus, the use of carbon or silicon atoms instead of boron anion to neutralize the extra electrons in the carbon or silicon-doped cluster (C4B32 and Si4B32) has been suggested and comprehensively studied [78].
The fullerene B40 was also predicted by computations [75] and subsequently prepared [79] by utilizing a laser vaporization supersonic source and identified via photoelectron spectroscopy (PES). The B40 fullerene with a
Boron neutron capture therapy (BNCT) for cancer treatment remains the main biomedical application of boron-based compounds [86, 87]. Boron compounds have thus facilitated the mission of BNCT. Furthermore, novel biological activities of boron cages and their complexes have been reported [88, 89].
The drugs that are commonly explored for anticancer treatment include 5-fluorouracil (FU), metronidazole (ML), hydroxyurea (HU), nitrosourea (NU), 6-thioguanine (TG), melphalan (MP), and cisplatin and nedaplatin (cf. Figure 4). Some nitrosoureas have been used in chemotherapy for treatment of brain tumors, breast carcinoma, lymphomas, and leukemia. The MP drug is conventionally applied for the treatment of specific cancers such as multiple myeloma, ovarian cancer, and breast cancer. FU also has multiple applications and is one of the most beneficial drugs to date to treat breast, head, neck, anal, stomach, colon, and skin cancers [24]. Cisplatin, which is one of the most common anticancer chemotherapy drugs, is particularly effective in treatment of testis, ovary, esophageal, bladder, non-small-cell lung cancers, and head and neck malignancies [90, 91]. Nedaplatin is also an antineoplastic drug which is used for cancer chemotherapy with the purpose to decrease the inherent toxicities induced by cisplatin [92]. However, the long-term use of such drugs may lead to some secondary tumors such as leukemia [93]. Hence, improvement of the efficacy and reduction of the toxicity of these drugs is of great importance. Of the diverse strategies recently put forward, the drug delivery is one of the most widely used techniques to improve the therapeutic efficiency and targeting of various drugs. In this context, the design of boron-based drug delivery systems appears to be an important issue for the beneficial usage of boron clusters.
Structures of the biomolecules and drugs commonly considered.
The main contribution of this chapter is to scrutinize the functionality of calculated predictions for boron clusters to be considered as prospective biosensors or drug delivery systems. The theoretical methodologies will first be presented. A brief discussion on the various features of promising biosensors or drug delivery systems that should further be investigated for biomedical applications.
In this section, a brief discussion is presented on the various features of the biosensors and drug delivery systems, that can be predicted using quantum chemical methods. Density functional theory (DFT) ranks as the most widely used quantum mechanical method and plays an increasingly larger role in a number of disciplines besides chemistry, such as physics, materials, biology, and pharmacy [94, 95, 96, 97, 98, 99, 100, 101, 102, 103]. While DFT computations have long been used to complement experimental investigations, the approach has emerged as an indispensable and powerful tool for predictions of different fields.
A general theoretical approach to this topic boils down to an assessment of the interactions between the materials and the biomolecules or drugs considered. It simply leads to an examination of the structures and properties of the interacting complexes. This requires a determination of all possible configurations of the complexes by carrying out systematic geometry optimizations and making use of appropriate DFT methods. The nature of local energy minima corresponding to various configurations needs to be verified through an analysis of their vibrational frequencies. In order to assess the capability of a boron cluster for detection of a biomolecule or drug delivery system, the structural, energetic, and electronic properties can simply be computed for the relaxed favorable geometries. These properties can provide us with valuable information for biomedical applications. All the mentioned calculations can be performed in both vacuum and aqueous media. It is essential to evaluate these parameters in aqueous medium since these systems are anticipated to act in human body. The polarizable continuum model (PCM) and the conductor-like screening model (COSMO) are common continuum models for the treatment of the solvent effects. The key factors of the properties mentioned above are described as follows.
From an optimized geometry, the bond lengths and bond angles between the constituent atoms in the complexes can be determined. These are simple but essential parameters determining the nature of the interaction between the drug molecules and respective adsorbents.
The interaction energy (
where
As for a convention, a negative interaction energy indicates that the obtained complex is thermodynamically stable, while a positive adsorption energy refers to a local minimum where the interaction is prevented by an energy barrier connecting it with the global minimum. The interaction energy can provide us with meaningful insights to distinguish between a chemisorption and a physisorption process.
The recovery time (τ) is one of the important factors for biomedical applications. It can be used for estimation of the drug desorption from the cluster surface or the sensor refreshing, which can be occurred by exposing to light. Based on the conventional transition state theory, the recovery time can be computed using the Arrhenius-type Eq. (2):
where
It is possible to investigate the thermodynamical nature of the interaction, through the change in the Gibbs energy using Eq. (3):
where
It is worth mentioning that a drug release from a carrier in the target cell is the most vital step in a drug delivery process. Owing to the excessive lactic production, a cancer cell is generally more acidic than normal cells (
Furthermore, the photochemical mechanism of light-triggered release from nanocarriers is also well known. Distinct wavelengths including ultraviolet (UV, 200–400 nm), visible (400–750 nm), and near-infrared (NIR, 780–1700 nm) lights, can be utilized to activate the light responsiveness [107]. Although the UV light is a relatively poor candidate due to its limited tissue penetration capacities and potentially carcinogenic effects under prolonged exposure, the NIR light has the advantages of lower phototoxicity, improved penetration depth in biological tissues, and reduced background signal. Thus, it is more suitable for biological applications. The NIR light is regarded as a transparent therapeutic window for light-activated delivery system in vivo due to its deep tissue penetration and minimum cellular damage [108]. The recovery time (Eq. (2)) could provide a theoretical estimation for light controlled release mechanism.
The electronic properties investigation is usually performed using the HOMO-LUMO gap as a quantum descriptor, to establish correlation in various chemical and biochemical systems. The HOMO-LUMO gap
where
The electrical conductivity is exponentially related to the energy gap in a semiconductor material as follows (5):
where
Furthermore, the charge transfer between the adsorbate molecules and the adsorbent is generally performed through the natural bond orbital (NBO) or Hirshfeld population analyses. The amount of charge transfer plays an essential role in the development of a biosensor device. It helps determine the capability of a boron cluster in generating a detectable electrochemical signal on the presence of a biomolecule or a drug.
The electronic dipole moment is also an important issue for design of nanocarriers. The dissolvability of a nanostructure into a polar medium, such as an aqueous solution, can be explored using the dipole moment (
In summary, the structural, energetic, and electronic parameters necessary for the design of relevant materials are the basic molecular properties that can easily be determined using simple quantum chemical computations.
In this section, we discuss the studies reported on boron clusters in two separate categories, biosensors and drug delivery systems.
Kaur and Kumar [109] proposed a B40-based biomarker for DNA sequencing from the results of DFT calculations using the Perdew-Burke-Ernzerhof (PBE) functional along with a double-zeta polarized basis set (DZP). These authors reported that all nucleobases are adsorbed on the surface of the B40 fullerene with the interaction energies of −18, −15, −16, and −23 kcal/mol for adenine, thymine, cytosine, and guanine, respectively. No complex between the nucleobases and B40 was visualized. The analysis of transmission spectra, density of states, and eigenstates of the HOMO and LUMO revealed that all molecular junctions show transmission dominated by the HOMO. The highest energy gap was found in the adenine molecular junction, and this molecule gives the least value of current in comparison to the other molecular junctions.
Thus, by analysis of differential conductance curves for all the nucleobase-B40 junctions, it is deduced that the values of conductance are different from each other for all the junctions considered. This implies that B40 can appropriately be used as a biomarker for DNA sequencing applications, in predicting the sequence of nucleobases in a DNA strand. As another direct application, B40 can thus be employed as a multipurpose sensor for detection of the DNA nucleobases.
Kaur and coworkers explored in 2022 [110] the interaction of uracil on B40 utilizing DFT (PBE/DZP) and nonequilibrium Green’s function regime computations. The physisorption phenomenon of the uracil molecule on the B40 surface is found, with an interaction distance of 2.38 Å and an interaction energy of −19 kcal/mol. No orbital overlapping exists between uracil and B40 moiety according to an electron density analysis. The HOMO–LUMO energy gap of B40 decreases upon adsorption of uracil. Although these authors suggested B40 as an effective biomarker to detect the presence of uracil molecule and thereby the mutations and cancerous tumors, the nature of the interaction is not well understood yet.
Rastgou et al. [111] examined the sensing ability of the quasi-planar B36 toward DNA nucleobases that might be used in a DNA sequencing device. The interaction energies for the most stable configuration of each complex were computed to be −57, −43, −38, and −10 kcal/mol for adenine-B36, guanine -B36, cytosine-B36, and thymine-B36, respectively. It was found from DFT calculations using the B97D/6-31G(d) method that the cytosine interacts more considerably with the edge of B36 than other nucleobases, resulting in a large decrease in the energy gap, by 96% with respect to the isolated cluster. Such a decrease in the energy gap was observed at 36, 20, and 15% for thymine, adenine, and guanine, respectively. As a result, a change in conductivity could allow cytosine, followed by thymine, adenine, and guanine to be detected.
In particular, acetone (CH3C〓OCH3) in the human breath exhaust is one of the commonly considered biomarkers for type-I as well as type-II diabetes. Yong and coworkers [112] studied in 2018 the potential capability of B40 and the doped M@B40 (M = Li and Ba) as acetone gas sensors using DFT calculations at the PBE/DZP level. The @ symbol stands hereafter for an encapsulation. The acetone molecule can easily adsorb on the B40, Li@B40, and Ba@B40 clusters with interaction energies of −16, −19, and − 8 kcal/mol, respectively. The recovery times were computed at 9.2 seconds for Li@B40 and 1.2 seconds for Ba@B40. Such a recovery time can be considered to be relatively long, as compared to a spectroscopic signal at the order of a microsecond, but it could be suitable for a sensor. The HOMO-LUMO gaps of M@B40 again decrease upon acetone adsorption. Accordingly, the change in eclectic conductance of Li@B40 or Ba@B40 before and after the adsorption of acetone would be very distinctive, exhibiting the high sensitivity of M@B40 for sensing acetone. Thus, the B40 and M@B40 were introduced as highly sensitive molecular sensors for acetone detection, but the recovery time is relatively long at the order of a second.
The quasi-planar B36 was further explored for prospective sensing of the metronidazole (ML, cf. Figure 4) drug, which is an antibiotic drug with widespread usage but can cause unwanted hazardous effects on the human body. DFT calculations at the B3LYP-D3/6-31G(d) level demonstrated that ML interacts more strongly with B36 by its edge with an adsorption energy as high as −22 and −21 kcal/mol in both gaseous and aqueous phases, respectively. The change in Gibbs energy of −19 kcal/mol implies spontaneous adsorption. The decrease of 64% in the energy gap upon complexation is considerable, resulting in a substantial increase in the conductivity of the structure. The recovery time of the sensor was further found to be as 1.5 s for the most stable adsorption complex at room temperature. Again, such a time is rather long, but these results could be used to develop a boron-based sensor to detect the ML drug [113] in more appropriate time.
Solimannejad and coworkers investigated in 2018 [114] the possible complexes generated from the interaction between the amantadine drug (cf. Figure 4) and the bowl-like B30 using the DFT ωB97XD/6-31G (d, p) method in both gaseous and aqueous media. Amantadine drug has been used to treat the Parkinson’s disease, influenza, or hepatitis for many years, even though in some cases it can cause some impairment of corneal endothelial function or corneal edema. The strongest interaction occurs between an edge boron atom of the B30 and an N atom of amantadine with binding energy −46 and −53 kcal/mol in both gaseous and aqueous phases, respectively. The energy gap of the complex is remarkably reduced in both phases, with respect to the separated B30. Thus B30 is quite sensitive to the presence of amantadine drug molecule, in such a way that it may be used in the sensor technology and possible drug delivery for amantadine for medicinal applications.
The interaction of fluorouracil (FU) with the quasi-planar B36 cluster was studied in 2017 [115] using the hybrid TPSSh functional with the 6–31 + G (d) basis set. The FU drug failed to generate any noticeable signal owing to the very weak interaction of this drug with the concave and convex surface of B36 ranging from −2 to −5 kcal/mol. Meanwhile, the FU drug remarkably interacts at its O atom site on the edge of the B36 with interaction energy of −24 and −27 kcal/mol in the gaseous and aqueous media, respectively (cf. Figure 5). The FU drug can also be detected by the B36 cluster with a noticeable signal owing to a significant decrease of 47% in the energy gap with respect to the free cluster. The dipole moment of FU-B36 complex was also observed as high as 17 and 36 Debye in the gas and water media, respectively, which indicates a large increase of the solubility in a polar medium.
Configurations of the interaction in the FU-B36 complex. Values given are the interaction energies obtained by TPSSh/6-31G (d.p) computations.
Kamalinahad et al. performed in 2020 [116] a study on the interactions between sulfonamide (cf. Figure 4) and the B36 nanocluster through M06-2X/6-31G (d, p) computations. As a functional group, sulfonamide exists in several classes of drugs. Sulfonamide remarkably tends to adsorb via its oxygen atoms at the edge of B36, alike FU drug, with interaction energy of −15 kcal/mol in both gaseous and aqueous media. The results illustrate that the edge B atoms are more reactive than the inner atoms toward the sulfonamide molecule leading to some large changes in its electronic features. The dipole moment of the complex increases to 13 Debye with respect to 4 Debye for the bare B36 cluster in aqueous medium. The high polarity together with appreciable adsorption energy suggested that these systems could be a vehicle for drug delivery.
Zheng et al. in 2020 [117] reported DFT computations at the PBE0/6–31 + G (d) level on the pristine and amino acid-functionalized C4B32 fullerene as drug delivery agents for hydroxyurea (HU, cf. Figure 4) anticancer drug. These authors found that an alanine functionalization can significantly enhance the tendency of the carbon-doped C4B32 cluster to the adsorption of HU. In this regard, the drug adsorption on the B atom of the clusters is more favorable than on the others. Indeed, the adsorption of HU drug on the cage part of the ala-C4B32 isomers is stronger than that adsorbed on the alanine within a range of −16 to −19 kcal/mol in gas phase. Also, more negative adsorption occurs in aqueous medium, ranging from −20 to −23 kcal/mol, whose solubility can modify their interactions with the HU drug. The interactions between the HU drug and the clusters in the acidic condition become weak, and thereby the drug can faster be released from the carrier.
Yunyu and Jameh-Bozorghi [118] reported a DFT study at the PBE0/6–31 + G (d) level on the endohedral fullerenes Li@C4B32 and Li@Si4B32 as materials for drug delivery applications of the 6-thioguanine (TG) anticancer drug. These authors suggested the pristine and Li-encapsulation C4B32 and Si4B32 clusters as suitable for drug delivery applications. Calculated interaction energies were found to be −42, −56, −38, and −43 kcal/mol for the TG/C4B32, TG/Li@C4B32, TG/Si4B32, and TG/Li@Si4B32 complexes, respectively. Such interaction energies are however quite large.
In fact, the strongest feature of the studied complexes bonding was found for TG/Li@C4B32 with the maximum positive charge on B atoms, and the system with LUMOs orbitals distributed on B atoms that has been predicted as the most favorable site for the nucleophilic agents. Moreover, their computed ultraviolet–visible spectra reveal that the electronic spectra of the drug/cluster complexes exhibit a red shift toward higher wave lengths (lower transition energies). Furthermore, the interaction of TG with the clusters leads to narrower Eg values resulting again in an increase in conductivity. The effect of pH on the TG/Li@C4B32 pointed out that the interaction energy in the acidic environment tends to decrease from 56 to 30 kcal/mol. Hence, the interactions between the drug and Li@C4B32 become again weaker in an acidic medium.
The alkali metal encapsulated fullerenes M@C4B32 with M = Li, Na, and K were considered as drug carrier agents for nitrosourea (NU) anticancer drug (cf. Figure 4) on the basis of calculations carried out using the PBE0/6–31 + G (d) approach [119]. A comparison between the interaction energies reveals that a potassium encapsulation inside C4B32 can considerably enhance the tendency of cluster for adsorption of NU drug with an interaction energy of −37 kcal/mol. In this case, the interaction energy tends to increase to −41 kcal/mol in aqueous medium, and thereby the K@C4B32 cluster can increase its solubility and modify its interaction with the NU drug. The
Furthermore, Luo and Gu [120] explored the ability of C4B32 and Si4B32 together with the Li encapsulated clusters for cisplatin (cf. Figure 4), using the PBE0/6–31 + G (d) level leads to interaction energies of −28, −12, −18, and −11 kcal/mol for the cisplatin/C4B32, cisplatin/Li@C4B32, cisplatin/Si4B32, and cisplatin/Li@Si4B32 complexes, respectively. The interaction distance for the cisplatin/C4B32 is relatively short (1.86 Å) in spite of relatively small interaction energy. Also, a blue shift toward lower wavelengths (larger transition energies) was observed from ultraviolet-visible spectra. Noticeably larger adsorption energies (more negative) are found in the solvent phase.
Sun and coworkers [121] explored the adsorption behavior of FU drug on B40 and some derivatives including MB39 and M@B40 (M = Mg, Al, Si, Mn, Cu, Zn). These authors applied calculations using the B3LYP functional in conjunction with the SDD basis set with effective core potential for Cu, Mn, and Zn atoms and 6-31G(d) basis set for the other atoms. Accordingly, the FU drug prefers to attach to the corner boron atom of the B40 through one of its oxygen atoms, resulting in a strong polar covalent B–O bond. The corresponding interaction energy is calculated to be −11 kcal/mol. Additionally, the ΔH and ΔG values for the interaction of FU drug via B40 are both negative. Furthermore, they found that FU-B40 complex exhibits a much larger dipole moment of 9 Debye than those of 6 and 0 Debye for 5-FU and B40, respectively, resulting in an increase in polarity for the whole system, and thus, enhancing the solubility of the resulting FU-B40 in an aqueous medium.
The drug release was also studied through a pH-dependent mechanism approach. The influence of pH on the FU-B40 complex was further examined by approaching a proton to the O atom of FU in complex. As seen in Figure 6, the distance between the O and B atoms greatly increases from 1.55 to 4.05 Å during the structural optimization. As a result, the interaction energy of FU-B40 severely decreases from −11 to −5 kcal/mol in the acidic environment, reflecting that the interaction between FU and B40 cluster is distinctly weakened under the attack of a single proton. Therefore, the FU drug can be released from the B40 carrier within the targeted tumor tissue where the medium is more acidic.
Optimization process for the protonation of FU drug adsorbed on B40 cluster. The distances (in Å) between B and O atoms are also given. Figure reprinted with permission from ref. [
Additionally, the substituent and encapsulation effects of Mg, Al, Si, Mn, Cu, and Zn atoms on the drug delivery performance of B40 have been also explored. The FU oxygen atom tends to combine with MB39 or M@B40 cages, which are depicted in Figures 7 and 8, respectively. Interaction energies vary in the ordering (values in kcal/mol) –16 (FU-[Al@B40]) –16 (FU-[Mg@B40]) > −15 (FU-[Cu@B40]) > −13 (FU-[Mn@B40]) > −12 (FU-[Zn@B40]) > −12 (FU-[Si@B40]).
Optimized geometries of the most stable FU-[M@B40] with M = Mg, Al, Si, Mn, Cu, and Zn complexes. The lengths of the newly formed bonds (in Å) are also given. Figure is reprinted with permission from ref. [
Optimized geometries of the most stable FU-B39M (M = Mg, Al, Si, Mn, Cu, and Zn) complexes. The lengths of newly formed bonds (in Å) are also given. Figure is reprinted with permission from ref. [
Meanwhile, the variation of interaction energies for the substituted complex is in the ordering of −30 (FU-B39Al) –22 (FU-B39Mg) > −13 (FU-B39Cu]) > −12 (FU-B39Zn) > −12 (FU-B39Mn) > −9 kcal/mol (FU-B39Si). The absorption of FU on B39M or M@B40 cages is more favorable than pristine B40 except for SiB39. Therefore, the encapsulation and substitution of impurities can be regarded as an efficient approach to control and/or tune-up the interaction between the FU and B40.
Sun and coworkers [122] explored the potential application of all-boron fullerene B40 as a drug carrier for anti-cancer nitrosourea (NU, cf. Figure 4) by means of PBE0/6-31G (d, p) computations. The NU drug tends to combine with a corner B atom of the B40 cage via its oxygen and nitrogen atoms with a moderate adsorption energy of −25 kcal/mol. The
Moreover, B40 with a high drug loading capacity can simultaneously carry up to five NU drug molecules. Additionally, the substituent effect of C, N, Al, and Ga atoms on the drug delivery performance of this B40 cluster was investigated. The interaction energies vary in the sequence of −68 kcal/mol (NU-B39C) > −37 (NU-B39Al) > −19 (NU-B39Ga) > −18 (NU-B39N). Also, the dipole moments were greatly enlarged from 1 to 6 Debye of B39M to 15–21 Debye of NU-B39M (M = C, N, Al, and Ga). Therefore, it can be deduced that substitution of one boron atom of B40 by an exogenous atom indeed induces an obvious influence on the interaction between B40 and NU drug. As a result, the substituent effect of foreign atoms can be employed to modulate or tune up the drug adsorption performance of B40 cluster.
Interaction between the FU anticancer drug and the B40 fullerene was also investigated using the PBE-D/DZP level in both the gaseous and aqueous phases [123]. Results indicate that the FU molecule remarkably adsorbs on the top of B40 through its oxygen atom with moderate interaction energy of −24 kcal/mol (cf. Figure 9). The energy gap value of the FU-B40 complexes is relatively decreased by 21% as compared to the isolated B40 fullerene. The HOMO-LUMO gap of B40 amounts to 1.8 eV, which is reduced to 1.4 eV in FU-B40. Thus, the adsorption of the FU molecule can be identified from electronic response, resulting from the decrease of electric conductivity. Furthermore, the FU molecule bears a Hirshfeld charge of 0.35 a.u. in complex, resulting in a charge-transfer complex, in which the charge is effectively transferred from the FU molecule to the B40 fullerene.
Optimized B40-FU complexes. Figure is reprinted with permission from Ref. [
The capacity of B40 for carrying the FU drug was explored. All the six holes of B40 interact with FU molecules and the corresponding 6FU-B40 complexes in both gas phase and aqueous solution are achieved. The interaction energy was estimated to be −13 kcal/mol per FU drug molecule in both phases. Moreover, the energy gap is distinctly decreased for this complex. The 6FU-B40 system has
The effect of Na and Ca encapsulation inside the B40 cluster on the FU adsorption behavior was also examined (cf. Figure 10). The interaction energy per FU molecule becomes now about −31 kcal/mol for 6FU-Na@B40 and 6FU-Ca@B40 systems in solution. Noticeably, the dipole moments enhance for the studied complexes in both phases. Further studies are needed to evaluate, in particular the recovery times, as to whether these fullerenes might behave as innovative boron-based candidates as drug delivery systems.
Optimized geometries of (a) 6FU-B40, (b) Na@B40-6FU, and (c) Ca@B40-6FU complexes. Figure reprinted with permission from ref. [
DFT (PBE-D/DZP) calculations were performed to investigate the interaction between the melphalan (MP; cf. Figure 4) as a chemotherapy medication and the bare as well as Na and Ca endohedral encapsulated B40 fullerenes (M@B40 with M = Na and Ca) [124]. The interaction energy of one MP drug with B40 was computed to be −15 kcal/mol. This interaction is a charge-transfer type occurring from the drug to the fullerene. The simultaneous adsorption of six MP molecules onto the fullerenes was also studied. An interaction energy of −4 kcal/mol per MP is obtained for 6MP-B40 system. Thus, it is deduced that the bare B40 fullerene suffers from a low adsorption energy per MP molecule in gas phase when it is fully loaded by MP drugs.
In order to improve the absorbency of B40 toward MP drug, the Na and Ca-encapsulated Na@B40 and Ca@B40 could yield some improvement (cf. Figure 11). The interaction energy per MP molecule increases now to −9 kcal/mol for the encapsulated fullerene in gas phase. Also, the dipole moment is enhanced in both gaseous and aqueous phases for the resulting complexes, which is a crucial factor for the design of a drug carrier. The release of the MP drug from the carrier surface could be occurred through a
Optimized geometries of the M@B40-6MP complexes.
The interaction between the nedaplatin anticancer drug (cf. Figure 4) with the B40 fullerene was also explored using PBE-D/DZP calculations in both vacuum and water mediums [125]. The nedaplatin molecule remarkably tends to adsorb on the top of B40 through its oxygen atom with an interaction energy of −18 kcal/mol. The adsorption of two nedaplatin molecules onto the fullerene holes has occurred with an interaction energy of −14 kcal/mol per drug molecule (cf. Figure 12).
Optimized geometries of (a) NedaPt-B40 and (b) 2NedaPt-B40 complexes. Figure reprinted with permission from Ref. [
Furthermore, reported results illustrate that the Li and Na encapsulation into B40 greatly increases the adsorption of nedaplatin in both the gaseous and solution phases. The adsorption energy per nedaplatin molecule is about −28 kcal/mol for both Li@B40 and Na@B40 fullerene in aqueous solution, which is greater than that of the bare B40 fullerene, which is not favorable to be used.
Table 1 summarizes the reported interaction energies of boron-based clusters with the bio-molecules considered. Interaction energy constitutes the main parameter to evaluate the suitability of a carrier molecule for biomedical applications. Although the number of studies is rather limited, an analysis of these theoretical results suggests that boron-based clusters deserve to be regarded as promising candidates for the bio-sensing and drug delivery-related applications.
Adsorbate | Substrate | Level of theory | Eint (kcal/mol) | Ref. |
---|---|---|---|---|
Adenine | B40 | PBE/DZP | –18 | [111] |
Thymine | B40 | PBE/DZP | −15 | [111] |
Cytosine | B40 | PBE/DZP | −16 | [111] |
Guanine | B40 | PBE/DZP | −23 | [111] |
Uracil | B40 | PBE/DZP | −19 | [110] |
Adenine | B36 | B97D/6-31G(d) | −5 | [109] |
Thymine | B36 | B97D/6-31G(d) | −10 | [109] |
Cytosine | B36 | B97D/6-31G(d) | −38 | [109] |
Guanine | B36 | B97D/6-31G(d) | −43 | [109] |
Acetone | B40 | PBE/DNP | −15 | [112] |
Acetone | Li@B40 | PBE/DNP | −19 | [112] |
Acetone | Ba@B40 | PBE/DNP | −8 | [112] |
Metronidazole | B36 | B3LYP-D3/6-31G(d) | −22 | [113] |
Amantadine | B30 | ωB97XD/6-31G(d,p) | −46 | [114] |
Sulfonamide | B36 | M06-2X/6-31G(d,p) | −15 | [116] |
5-Fluorouracil | B36 | TPPSh/6-31 + G(d) | −24 | [115] |
Hydroxyurea | alanine-C4B32 | PBE0/6-31 + G(d) | −19 | [117] |
6-thioguanine | C4B32 | PBE0/6-31 + G(d)) | −42 | [118] |
6-thioguanine | Si4B32 | PBE0/6-31 + G(d)) | −56 | [118] |
6-thioguanine | Li@C4B32 | PBE0/6-31 + G(d)) | −38 | [118] |
6-thioguanine | Li@Si4B32 | PBE0/6-31 + G(d)) | −43 | [118] |
Nitrosourea | C4B32 | PBE0/6-31 + G(d)) | −37 | [119] |
Cisplatin | C4B32 | PBE0/6-31 + G(d)) | −28 | [120] |
Cisplatin | Si4B32 | PBE0/6-31 + G(d)) | −18 | [120] |
Cisplatin | Li@C4B32 | PBE0/6-31 + G(d)) | −12 | [120] |
Cisplatin | Li@Si4B32 | PBE0/6-31 + G(d)) | −11 | [120] |
5-Fluorouracil | B40 | B3LYP/6-31G(d) | −11 | [121] |
5-Fluorouracil | Al@B40 | B3LYP/6-31G(d) | −15 | [121] |
5-Fluorouracil | Mg@B40 | B3LYP/6-31G(d) | −15 | [121] |
5-Fluorouracil | Cu@B40 | B3LYP/6-31G(d) | −15 | [121] |
5-Fluorouracil | Mn@B40 | B3LYP/6-31G(d) | −13 | [121] |
5-Fluorouracil | Zn@B40 | B3LYP/6-31G(d) | −12 | [121] |
5-Fluorouracil | Si@B40 | B3LYP/6-31G(d) | −12 | [121] |
5-Fluorouracil | B39Al | B3LYP/6-31G(d) | −29 | [121] |
5-Fluorouracil | B39Mg | B3LYP/6-31G(d) | −22 | [121] |
5-Fluorouracil | B39Cu | B3LYP/6-31G(d) | −13 | [121] |
5-Fluorouracil | B39Zn | B3LYP/6-31G(d) | −12 | [121] |
5-Fluorouracil | B39Mn | B3LYP/6-31G(d) | −12 | [121] |
5-Fluorouracil | B39Si | B3LYP/6-31G(d) | −9 | [121] |
Nitrosourea | B40 | PBE0/6-31G(d,p) | −25 | [122] |
Nitrosourea | B39C | PBE0/6-31G(d,p) | −36 | [122] |
Nitrosourea | B39Al | PBE0/6-31G(d,p) | −19 | [122] |
Nitrosourea | B39Ga | PBE0/6-31G(d,p) | −18 | [122] |
5-Fluorouracil | B40 | PBE-D/DNP | −13 | [123] |
5-Fluorouracil | Na@B40 | PBE-D/DNP | −16 | [123] |
5-Fluorouracil | Ca@B40 | PBE-D/DNP | −17 | [123] |
Melphalan | B40 | PBE-D/DNP | −3 | [124] |
Melphalan | Na@B40 | PBE-D/DNP | −8 | [124] |
Melphalan | Ca@B40 | PBE-D/DNP | −9 | [124] |
Nedaplatin | B40 | PBE-D/DNP | −13 | [125] |
Nedaplatin | Li@B40 | PBE-D/DNP | −20 | [125] |
Nedaplatin | Na@B40 | PBE-D/DNP | −18 | [125] |
Summary of the interaction energies of boron-based clusters with bio-molecules considered in biomedical applications.
A large interaction energy indicates a stable complex, but it invariably causes a longer recovery time, which is not a good factor for drug release or for refreshing a biosensor. Thus, a semi-chemisorption with an effective recovery time (less than 1 second) is more favorable for biomedical applications. Based on Eq. (2), the recovery of a biomedical agent from a typical carrier surface is estimated to be short in the range 0.03–0.06 microsecond for NIR light with the typical interaction energy of −10 kcal/mol at 310 K of the human body. Also, it amounts to 0.3–0.7 second for interaction energies of −20 kcal/mol, which seems to be usable for an appropriate biosensor [107].
The recovery time exponentially increases by an enhancement of interaction energy. According to Table 1, most of the reported interaction energies are smaller than −20 kcal/mol, with an expected error margin of
In spite of the frequent claims of many authors in reported theoretical studies, some systems are not suitable due to a long recovery time (in the order of second or even longer). For example, in the aforementioned condition, B36 suffers from long recovery time for sensing cytosine and guanine; similarly, C4B32 suffers from long recovery time for detecting 6-thioguanine, nitrosourea, and cisplatin drugs.
Noticeably, the release mechanism of drug is also a crucial factor, which should be understood for a better design of a drug delivery system, in addition to suitable recovery time. Such studies are yet to be carried out.
In summary, from a theoretical viewpoint, boron-based clusters having some unique structural and electronic properties provide us with great potential in biomedical applications. Quantum chemical calculations can further assist experimental researchers in the understanding of these systems from the molecular insights at low cost but with much detail and substantial accuracy.
The work of LVD and MTN is funded by VinGroup (Vietnam) and supported by VinGroup Innovation Foundation (VinIF) under project code VinIF_2020_DA21. LVD is thankful to the Van Lang University.
The authors declare no conflict of interest.
This is a brief overview of the main steps involved in publishing with IntechOpen Compacts, Monographs and Edited Books. Once you submit your proposal you will be appointed a Author Service Manager who will be your single point of contact and lead you through all the described steps below.
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However, there is a lack of comprehensive overviews and studies of the latest advances of the PCE methods, and there is still a large gap between the academic research and engineering application for PCE due to its high computational cost. In this chapter, latest advances of the PCE theory and method are elaborated, in which the newly developed data-driven PCE method that does not depend on the complete information of input probabilistic distribution as the common PCE approaches is introduced and improved. Meanwhile, the least angle regression technique and the trust region scenario are, respectively, extended to reduce the computational cost of data-driven PCE to accommodate it to practical engineering design applications. 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Without requiring prior knowledge as inputs, MD simulations have been used to study a variety of material problems. However, results of molecular dynamics simulations are often associated with errors as compared with experimental observations. These errors come from a variety of sources, including inaccuracy of interatomic potentials, short length and time scales, idealized problem description and statistical uncertainties of MD simulations themselves. This chapter specifically devotes to the statistical uncertainties of MD simulations. In particular, methods to quantify and reduce such statistical uncertainties are demonstrated using a variety of exemplar cases, including calculations of finite temperature static properties such as lattice constants, cohesive energies, elastic constants, dislocation energies, thermal conductivities, surface segregation and calculations of kinetic properties such as diffusion parameters. 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Toward this end, we applied EWMA chart to the output residuals obtained from MSPLS model. 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We first introduce a general framework and several conventional models for functional data, including the functional linear model, penalized regression splines, and the spatial temporal model. However, in engineering practice, a naive mathematical modeling of functional response may fail due to the lack of expressing the underlying physical mechanism. We propose a series of quasiphysical models to handle the functional response. A motivating example of metamaterial design is thoroughly discussed to demonstrate the idea of quasiphysical models. In real applications, various uncertainties have to be taken into account, such as that of the permittivity or permeability of the substrate of the metamaterial. For the propagation of uncertainty, simulation‐based methods are discussed. A Bayesian framework is presented to deal with the model calibration in the case of functional response. Experimental results illustrate the efficiency of the proposed method.",book:{id:"5832",slug:"uncertainty-quantification-and-model-calibration",title:"Uncertainty Quantification and Model Calibration",fullTitle:"Uncertainty Quantification and Model Calibration"},signatures:"Xiao Guo, Yang He, Binbin Zhu, Yang Yang, Ke Deng, Ruopeng Liu\nand Chunlin Ji",authors:[{id:"198216",title:"Dr.",name:"Chunlin",middleName:null,surname:"Ji",slug:"chunlin-ji",fullName:"Chunlin Ji"},{id:"199075",title:"Dr.",name:"Xiao",middleName:null,surname:"Guo",slug:"xiao-guo",fullName:"Xiao Guo"}]}],mostDownloadedChaptersLast30Days:[{id:"54982",title:"Polynomial Chaos Expansion for Probabilistic Uncertainty Propagation",slug:"polynomial-chaos-expansion-for-probabilistic-uncertainty-propagation",totalDownloads:2869,totalCrossrefCites:6,totalDimensionsCites:11,abstract:"Uncertainty propagation (UP) methods are of great importance to design optimization under uncertainty. 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In addition, comprehensive comparisons are made to explore the relative merits of the most commonly used PCE approaches in the literature to help designers to choose more suitable PCE techniques in probabilistic design optimization.",book:{id:"5832",slug:"uncertainty-quantification-and-model-calibration",title:"Uncertainty Quantification and Model Calibration",fullTitle:"Uncertainty Quantification and Model Calibration"},signatures:"Shuxing Yang, Fenfen Xiong and Fenggang Wang",authors:[{id:"200594",title:"Dr.",name:"Fenfen",middleName:null,surname:"Xiong",slug:"fenfen-xiong",fullName:"Fenfen Xiong"},{id:"200601",title:"Prof.",name:"Shuxing",middleName:null,surname:"Yang",slug:"shuxing-yang",fullName:"Shuxing Yang"},{id:"205382",title:"Mr.",name:"Fenggang",middleName:null,surname:"Wang",slug:"fenggang-wang",fullName:"Fenggang Wang"}]},{id:"54755",title:"Fitting Models to Data: Residual Analysis, a Primer",slug:"fitting-models-to-data-residual-analysis-a-primer",totalDownloads:2503,totalCrossrefCites:10,totalDimensionsCites:16,abstract:"The aim of this chapter is to show checking the underlying assumptions (the errors are independent, have a zero mean, a constant variance and follows a normal distribution) in a regression analysis, mainly fitting a straight‐line model to experimental data, via the residual plots. Residuals play an essential role in regression diagnostics; no analysis is being complete without a thorough examination of residuals. The residuals should show a trend that tends to confirm the assumptions made in performing the regression analysis, or failing them should not show a tendency that denies them. Although there are numerical statistical means of verifying observed discrepancies, statisticians often prefer a visual examination of residual graphs as a more informative and certainly more convenient methodology. When dealing with small samples, the use of the graphic techniques can be very useful. Several examples taken from scientific journals and monographs are selected dealing with linearity, calibration, heteroscedastic data, errors in the model, transforming data, time‐order analysis and non‐linear calibration curves.",book:{id:"5832",slug:"uncertainty-quantification-and-model-calibration",title:"Uncertainty Quantification and Model Calibration",fullTitle:"Uncertainty Quantification and Model Calibration"},signatures:"Julia Martin, David Daffos Ruiz de Adana and Agustin G. Asuero",authors:[{id:"190870",title:"Dr.",name:"Agustín G.",middleName:null,surname:"Asuero",slug:"agustin-g.-asuero",fullName:"Agustín G. Asuero"},{id:"190871",title:"Dr.",name:"Julia",middleName:null,surname:"Martín",slug:"julia-martin",fullName:"Julia Martín"},{id:"203694",title:"Mr.",name:"David",middleName:null,surname:"Daffos Ruiz De Adana",slug:"david-daffos-ruiz-de-adana",fullName:"David Daffos Ruiz De Adana"},{id:"203695",title:"Mr.",name:"Alberto",middleName:null,surname:"Romero Gracia",slug:"alberto-romero-gracia",fullName:"Alberto Romero Gracia"}]},{id:"55003",title:"Uncertainty Quantification and Reduction of Molecular Dynamics Models",slug:"uncertainty-quantification-and-reduction-of-molecular-dynamics-models",totalDownloads:1439,totalCrossrefCites:2,totalDimensionsCites:5,abstract:"Molecular dynamics (MD) is an important method underlying the modern field of Computational Materials Science. Without requiring prior knowledge as inputs, MD simulations have been used to study a variety of material problems. However, results of molecular dynamics simulations are often associated with errors as compared with experimental observations. These errors come from a variety of sources, including inaccuracy of interatomic potentials, short length and time scales, idealized problem description and statistical uncertainties of MD simulations themselves. This chapter specifically devotes to the statistical uncertainties of MD simulations. In particular, methods to quantify and reduce such statistical uncertainties are demonstrated using a variety of exemplar cases, including calculations of finite temperature static properties such as lattice constants, cohesive energies, elastic constants, dislocation energies, thermal conductivities, surface segregation and calculations of kinetic properties such as diffusion parameters. We also demonstrate that when the statistical uncertainties are reduced to near zero, MD can be used to validate and improve widely used theories.",book:{id:"5832",slug:"uncertainty-quantification-and-model-calibration",title:"Uncertainty Quantification and Model Calibration",fullTitle:"Uncertainty Quantification and Model Calibration"},signatures:"Xiaowang Zhou and Stephen M. Foiles",authors:[{id:"201277",title:"Dr.",name:"Xiaowang",middleName:null,surname:"Zhou",slug:"xiaowang-zhou",fullName:"Xiaowang Zhou"},{id:"205437",title:"Dr.",name:"Stephen M.",middleName:null,surname:"Foiles",slug:"stephen-m.-foiles",fullName:"Stephen M. Foiles"}]},{id:"54841",title:"State‐of‐the‐Art Nonprobabilistic Finite Element Analyses",slug:"state-of-the-art-nonprobabilistic-finite-element-analyses",totalDownloads:1647,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The finite element analysis of a mechanical system is conventionally performed in the context of deterministic inputs. However, uncertainties associated with material properties, geometric dimensions, subjective experiences, boundary conditions, and external loads are ubiquitous in engineering applications. The most popular techniques to handle these uncertain parameters are the probabilistic methods, in which uncertainties are modeled as random variables or stochastic processes based on a large amount of statistical information on each uncertain parameter. Nevertheless, subjective results could be obtained if insufficient information unavailable and nonprobabilistic methods can be alternatively employed, which has led to elegant procedures for the nonprobabilistic finite element analysis. In this chapter, each nonprobabilistic finite element analysis method can be decomposed as two individual parts, i.e., the core algorithm and preprocessing procedure. In this context, four types of algorithms and two typical preprocessing procedures as well as their effectiveness were described in detail, based on which novel hybrid algorithms can be conceived for the specific problems and the future work in this research field can be fostered.",book:{id:"5832",slug:"uncertainty-quantification-and-model-calibration",title:"Uncertainty Quantification and Model Calibration",fullTitle:"Uncertainty Quantification and Model Calibration"},signatures:"Wang Lei, Qiu Zhiping and Zheng Yuning",authors:[{id:"196882",title:"Prof.",name:"Zhiping",middleName:null,surname:"Qiu",slug:"zhiping-qiu",fullName:"Zhiping Qiu"},{id:"198421",title:"Dr.",name:"Lei",middleName:null,surname:"Wang",slug:"lei-wang",fullName:"Lei Wang"},{id:"204754",title:"Dr.",name:"Yuning",middleName:null,surname:"Zheng",slug:"yuning-zheng",fullName:"Yuning Zheng"}]},{id:"55556",title:"An Improved Wavelet‐Based Multivariable Fault Detection Scheme",slug:"an-improved-wavelet-based-multivariable-fault-detection-scheme",totalDownloads:1542,totalCrossrefCites:3,totalDimensionsCites:3,abstract:"Data observed from environmental and engineering processes are usually noisy and correlated in time, which makes the fault detection more difficult as the presence of noise degrades fault detection quality. 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It is shown through simulated distillation column data the significant improvement in fault detection can be obtained by using the proposed methods as compared to the use of the conventional partial least square (PLS)‐based Q and EWMA methods and MSPLS‐based Q method.",book:{id:"5832",slug:"uncertainty-quantification-and-model-calibration",title:"Uncertainty Quantification and Model Calibration",fullTitle:"Uncertainty Quantification and Model Calibration"},signatures:"Fouzi Harrou, Ying Sun and Muddu Madakyaru",authors:[{id:"197090",title:"Dr.",name:"Fouzi",middleName:null,surname:"Harrou",slug:"fouzi-harrou",fullName:"Fouzi Harrou"}]}],onlineFirstChaptersFilter:{topicId:"613",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"82166",title:"Evaluation of Principal Component Analysis Variants to Assess Their Suitability for Mobile Malware Detection",slug:"evaluation-of-principal-component-analysis-variants-to-assess-their-suitability-for-mobile-malware-d",totalDownloads:10,totalDimensionsCites:0,doi:"10.5772/intechopen.105418",abstract:"Principal component analysis (PCA) is an unsupervised machine learning algorithm that plays a vital role in reducing the dimensions of the data in building an appropriate machine learning model. It is a statistical process that transforms the data containing correlated features into a set of uncorrelated features with the help of orthogonal transformations. Unsupervised machine learning is a concept of self-learning method that involves unlabelled data to identify hidden patterns. PCA converts the data features from a high dimensional space into a low dimensional space. PCA also acts as a feature extraction method since it transforms the ‘n’ number of features into ‘m’ number of principal components (PCs; m < n). Mobile Malware is increasing tremendously in the digital era due to the growth of android mobile users and android applications. Some of the mobile malware are viruses, Trojan horses, worms, adware, spyware, ransomware, riskware, banking malware, SMS malware, keylogger, and many more. To automate the process of detecting mobile malware without human intervention, machine learning methods are applied to discover the malware more precisely. Specifically, unsupervised machine learning helps to uncover the hidden patterns to detect anomalies in the data. In discovering hidden patterns of malware, PCA is an important dimensionality reduction technique that can be applied to transform the features into PCs containing important feature values. So, by implementing PCA, the correlated features are transformed into uncorrelated features automatically to explore the anomalies in the data effectively. This book chapter explains all the variants of the PCA, including all linear and non-linear methods of PCA and their suitability in applying to mobile malware detection. A case study on mobile malware detection with variants of PCA using machine learning techniques in CICMalDroid_2020 dataset has been experimented. Based on the experimental results, for the given dataset, normal PCA is suitable to detect the malware data points and forms an optimal cluster.",book:{id:"11201",title:"Advances in Principal Component Analysis",coverURL:"https://cdn.intechopen.com/books/images_new/11201.jpg"},signatures:"Padmavathi Ganapathi, Shanmugapriya Dhathathri and Roshni Arumugam"},{id:"81645",title:"Determining an Adequate Number of Principal Components",slug:"determining-an-adequate-number-of-principal-components",totalDownloads:11,totalDimensionsCites:0,doi:"10.5772/intechopen.104534",abstract:"The problem of choosing the number of PCs to retain is analyzed in the context of model selection, using so-called model selection criteria (MSCs). For a prespecified set of models, indexed by k=1,2,…,K, these model selection criteria (MSCs) take the form MSCk=nLLk+anmk, where, for model k,LLk is the maximum log likelihood, mk is the number of independent parameters, and the constant an is an=lnn for BIC and an=2 for AIC. The maximum log likelihood LLk is achieved by using the maximum likelihood estimates (MLEs) of the parameters. In Gaussian models, LLk involves the logarithm of the mean squared error (MSE). The main contribution of this chapter is to show how to best use BIC to choose the number of PCs, and to compare these results to ad hoc procedures that have been used. Findings include the following. These are stated as they apply to the eigenvalues of the correlation matrix, which are between 0 and p and have an average of 1. For considering an additional PCk + 1, with AIC, inclusion of the additional PCk + 1 is justified if the corresponding eigenvalue λk+1 is greater than exp−2/n. For BIC, the inclusion of an additional PCk + 1 is justified if λk+1>n1/n, which tends to 1 for large n. Therefore, this is in approximate agreement with the average eigenvalue rule for correlation matrices, stating that one should retain dimensions with eigenvalues larger than 1.",book:{id:"11201",title:"Advances in Principal Component Analysis",coverURL:"https://cdn.intechopen.com/books/images_new/11201.jpg"},signatures:"Stanley L. Sclove"},{id:"81542",title:"On the Use of Modified Winsorization with Graphical Diagnostic for Obtaining a Statistically Optimal Classification Accuracy in Predictive Discriminant Analysis",slug:"on-the-use-of-modified-winsorization-with-graphical-diagnostic-for-obtaining-a-statistically-optimal",totalDownloads:14,totalDimensionsCites:0,doi:"10.5772/intechopen.104539",abstract:"In predictive discriminant analysis (PDA), the classification accuracy is only statistically optimal if each group sample is normally distributed with different group means, and each predictor variance is similar between the groups. This can be achieved by accounting for homogeneity of variances between the groups using the modified winsorization with graphical diagnostic (MW-GD) method. The MW-GD method involves the identification and removal of legitimate contaminants in a training sample with the aim of obtaining a true optimal training sample that can be used to build a predictive discriminant function (PDF) that will yield a statistically optimal classification accuracy. However, the use of this method is yet to receive significant attention in PDA. An alternative statistical interpretation of the graphical diagnostic information associated with the method when confronted with the challenge of differentiating between a variable shape in the groups of the 2-D area plot remains a problem to be resolved. Therefore, this paper provides a more comprehensive analysis of the idea and concept of the MW-GD method, as well as proposed an alternative statistical interpretation of the informative graphical diagnostic associated with the method when confronted with the challenge of differentiating between a variable shape in the groups of the 2-D area plot.",book:{id:"11201",title:"Advances in Principal Component Analysis",coverURL:"https://cdn.intechopen.com/books/images_new/11201.jpg"},signatures:"Augustine Iduseri"},{id:"81460",title:"Spatial Principal Component Analysis of Head-Related Transfer Functions and Its Domain Dependency",slug:"spatial-principal-component-analysis-of-head-related-transfer-functions-and-its-domain-dependency",totalDownloads:15,totalDimensionsCites:0,doi:"10.5772/intechopen.104449",abstract:"In this chapter, the Principal Component Analysis (PCA) was adopted to spatial variation of Head-Related Transfer Function (HRTF) or its corresponding inverse Fourier Transform, called Head-Related Impulse Response (HRIR), in order to compactly represent their spatial variation. This is called the Spatial PCA (SPCA). The SPCA was carried out for a database of HRTFs in all directions by selecting the domain as one of the HRIRs, the complex HRTFs, the frequency amplitudes of HRTFs, log-amplitudes of HRTFs, and complex logarithm of HRTFs. The minimum phase approximation was incorporated for the frequency amplitudes and log-amplitudes of HRTFs. Comparison of the accuracies in both time and frequency domains taking into account their influence on subjective evaluation showed that the log-amplitudes and complex logarithm of HRTFs are suitable for the SPCA of HRTFs.",book:{id:"11201",title:"Advances in Principal Component Analysis",coverURL:"https://cdn.intechopen.com/books/images_new/11201.jpg"},signatures:"Shouichi Takane"},{id:"81407",title:"Space-Time-Parameter PCA for Data-Driven Modeling with Application to Bioengineering",slug:"space-time-parameter-pca-for-data-driven-modeling-with-application-to-bioengineering",totalDownloads:28,totalDimensionsCites:0,doi:"10.5772/intechopen.103756",abstract:"Principal component analysis is a recognized powerful and practical method in statistics and data science. It can also be used in modeling as a dimensionality reduction tool to achieve low-order models of complex multiphysics or engineering systems. Model-order reduction (MOR) methodologies today are an important topic for engineering design and analysis. Design space exploration or accelerated numerical optimization for example are made easier by the use of reduced-order models. In this chapter, we will talk about the use of higher-order singular value decompositions (HOSVD) applied to spatiotemporal problems that are parameterized by a set of design variables or physical parameters. Here we consider a data-driven reduced order modeling based on a design of computer experiment: from high-dimensional computational results returned by high-fidelity solvers (e.g. finite element ones), the HOSVD allows us to determine spatial, time and parameters principal components. The dynamics of the system can then be retrieved by identifying the low-order discrete dynamical system. As application, we will consider the dynamics of deformable capsules flowing into microchannels. The study of such fluid-structure interaction problems is motivated by the use of microcapsules as innovative drug delivery carriers through blood vessels.",book:{id:"11201",title:"Advances in Principal Component Analysis",coverURL:"https://cdn.intechopen.com/books/images_new/11201.jpg"},signatures:"Florian De Vuyst, Claire Dupont and Anne-Virginie Salsac"},{id:"81414",title:"Prediction Analysis Based on Logistic Regression Modelling",slug:"prediction-analysis-based-on-logistic-regression-modelling",totalDownloads:14,totalDimensionsCites:0,doi:"10.5772/intechopen.103090",abstract:"The chapter aims to show an application of logistic regression modelling for prediction analysis in the offshore industry. The different variables shown in dynamic positioning incident reports are analysed and processed using logistic regression modelling. The results of the models are then analysed, showing which data influence the loss of positioning and human errors and how the model can be interpreted. Afterwards, and based on the obtained models, operational limits can be proposed to reduce downtimes and thus improve the safety of the operations and the productivity of the offshore operations when using dynamic positioning systems.",book:{id:"11201",title:"Advances in Principal Component Analysis",coverURL:"https://cdn.intechopen.com/books/images_new/11201.jpg"},signatures:"Zaloa Sanchez-Varela"}],onlineFirstChaptersTotal:12},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:0,limit:8,total:null},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:90,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:108,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:33,numberOfPublishedChapters:330,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:14,numberOfPublishedChapters:145,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:9,numberOfPublishedChapters:141,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:123,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:112,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:22,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:11,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:"2753-6580",doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"6",title:"Infectious Diseases",doi:"10.5772/intechopen.71852",issn:"2631-6188",scope:"This series will provide a comprehensive overview of recent research trends in various Infectious Diseases (as per the most recent Baltimore classification). Topics will include general overviews of infections, immunopathology, diagnosis, treatment, epidemiology, etiology, and current clinical recommendations for managing infectious diseases. Ongoing issues, recent advances, and future diagnostic approaches and therapeutic strategies will also be discussed. This book series will focus on various aspects and properties of infectious diseases whose deep understanding is essential for safeguarding the human race from losing resources and economies due to pathogens.",coverUrl:"https://cdn.intechopen.com/series/covers/6.jpg",latestPublicationDate:"August 12th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:13,editor:{id:"131400",title:"Prof.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales",profilePictureURL:"https://mts.intechopen.com/storage/users/131400/images/system/131400.png",biography:"Dr. Rodriguez-Morales is an expert in tropical and emerging diseases, particularly zoonotic and vector-borne diseases (especially arboviral diseases). He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null},editorTwo:null,editorThree:null},subseries:{paginationCount:4,paginationItems:[{id:"3",title:"Bacterial Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/3.jpg",isOpenForSubmission:!0,editor:{id:"205604",title:"Dr.",name:"Tomas",middleName:null,surname:"Jarzembowski",slug:"tomas-jarzembowski",fullName:"Tomas Jarzembowski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKriQAG/Profile_Picture_2022-06-16T11:01:31.jpg",biography:"Tomasz Jarzembowski was born in 1968 in Gdansk, Poland. He obtained his Ph.D. degree in 2000 from the Medical University of Gdańsk (UG). After specialization in clinical microbiology in 2003, he started studying biofilm formation and antibiotic resistance at the single-cell level. In 2015, he obtained his D.Sc. degree. His later study in cooperation with experts in nephrology and immunology resulted in the designation of the new diagnostic method of UTI, patented in 2017. He is currently working at the Department of Microbiology, Medical University of Gdańsk (GUMed), Poland. Since many years, he is a member of steering committee of Gdańsk branch of Polish Society of Microbiologists, a member of ESCMID. He is also a reviewer and a member of editorial boards of a number of international journals.",institutionString:"Medical University of Gdańsk, Poland",institution:null},editorTwo:{id:"484980",title:"Dr.",name:"Katarzyna",middleName:null,surname:"Garbacz",slug:"katarzyna-garbacz",fullName:"Katarzyna Garbacz",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003St8TAQAZ/Profile_Picture_2022-07-07T09:45:16.jpg",biography:"Katarzyna Maria Garbacz, MD, is an Associate Professor at the Medical University of Gdańsk, Poland and she is head of the Department of Oral Microbiology of the Medical University of Gdańsk. She has published more than 50 scientific publications in peer-reviewed journals. She has been a project leader funded by the National Science Centre of Poland. Prof. Garbacz is a microbiologist working on applied and fundamental questions in microbial epidemiology and pathogenesis. Her research interest is in antibiotic resistance, host-pathogen interaction, and therapeutics development for staphylococcal pathogens, mainly Staphylococcus aureus, which causes hospital-acquired infections. Currently, her research is mostly focused on the study of oral pathogens, particularly Staphylococcus spp.",institutionString:"Medical University of Gdańsk, Poland",institution:null},editorThree:null},{id:"4",title:"Fungal Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/4.jpg",isOpenForSubmission:!0,editor:{id:"174134",title:"Dr.",name:"Yuping",middleName:null,surname:"Ran",slug:"yuping-ran",fullName:"Yuping Ran",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bS9d6QAC/Profile_Picture_1630330675373",biography:"Dr. Yuping Ran, Professor, Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China. Completed the Course Medical Mycology, the Centraalbureau voor Schimmelcultures (CBS), Fungal Biodiversity Centre, Netherlands (2006). International Union of Microbiological Societies (IUMS) Fellow, and International Emerging Infectious Diseases (IEID) Fellow, Centers for Diseases Control and Prevention (CDC), Atlanta, USA. Diploma of Dermatological Scientist, Japanese Society for Investigative Dermatology. Ph.D. of Juntendo University, Japan. Bachelor’s and Master’s degree, Medicine, West China University of Medical Sciences. Chair of Sichuan Medical Association Dermatology Committee. General Secretary of The 19th Annual Meeting of Chinese Society of Dermatology and the Asia Pacific Society for Medical Mycology (2013). In charge of the Annual Medical Mycology Course over 20-years authorized by National Continue Medical Education Committee of China. Member of the board of directors of the Asia-Pacific Society for Medical Mycology (APSMM). Associate editor of Mycopathologia. Vice-chief of the editorial board of Chinses Journal of Mycology, China. Board Member and Chair of Mycology Group of Chinese Society of Dermatology.",institutionString:null,institution:{name:"Sichuan University",institutionURL:null,country:{name:"China"}}},editorTwo:null,editorThree:null},{id:"5",title:"Parasitic Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",isOpenForSubmission:!0,editor:{id:"67907",title:"Dr.",name:"Amidou",middleName:null,surname:"Samie",slug:"amidou-samie",fullName:"Amidou Samie",profilePictureURL:"https://mts.intechopen.com/storage/users/67907/images/system/67907.jpg",biography:"Dr. Amidou Samie is an Associate Professor of Microbiology at the University of Venda, in South Africa, where he graduated for his PhD in May 2008. He joined the Department of Microbiology the same year and has been giving lectures on topics covering parasitology, immunology, molecular biology and industrial microbiology. He is currently a rated researcher by the National Research Foundation of South Africa at category C2. He has published widely in the field of infectious diseases and has overseen several MSc’s and PhDs. His research activities mostly cover topics on infectious diseases from epidemiology to control. His particular interest lies in the study of intestinal protozoan parasites and opportunistic infections among HIV patients as well as the potential impact of childhood diarrhoea on growth and child development. He also conducts research on water-borne diseases and water quality and is involved in the evaluation of point-of-use water treatment technologies using silver and copper nanoparticles in collaboration with the University of Virginia, USA. He also studies the use of medicinal plants for the control of infectious diseases as well as antimicrobial drug resistance.",institutionString:null,institution:{name:"University of Venda",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},{id:"6",title:"Viral Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/6.jpg",isOpenForSubmission:!0,editor:{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",institutionURL:null,country:{name:"India"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:20,paginationItems:[{id:"83065",title:"Interventions and Practical Approaches to Reduce the Burden of Malaria on School-Aged Children",doi:"10.5772/intechopen.106469",signatures:"Andrew Macnab",slug:"interventions-and-practical-approaches-to-reduce-the-burden-of-malaria-on-school-aged-children",totalDownloads:4,totalCrossrefCites:0,totalDimensionsCites:0,authors:[{name:"Andrew",surname:"Macnab"}],book:{title:"Malaria - Recent Advances, and New Perspectives",coverURL:"https://cdn.intechopen.com/books/images_new/11576.jpg",subseries:{id:"5",title:"Parasitic Infectious Diseases"}}},{id:"82804",title:"Psychiatric Problems in HIV Care",doi:"10.5772/intechopen.106077",signatures:"Seggane Musisi and Noeline Nakasujja",slug:"psychiatric-problems-in-hiv-care",totalDownloads:2,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Future Opportunities and Tools for Emerging Challenges for HIV/AIDS Control",coverURL:"https://cdn.intechopen.com/books/images_new/11575.jpg",subseries:{id:"6",title:"Viral Infectious Diseases"}}},{id:"82827",title:"Epidemiology and Control of Schistosomiasis",doi:"10.5772/intechopen.105170",signatures:"Célestin Kyambikwa Bisangamo",slug:"epidemiology-and-control-of-schistosomiasis",totalDownloads:6,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"New Horizons for Schistosomiasis Research",coverURL:"https://cdn.intechopen.com/books/images_new/10829.jpg",subseries:{id:"5",title:"Parasitic Infectious Diseases"}}},{id:"82817",title:"Perspective Chapter: Microfluidic Technologies for On-Site Detection and Quantification of Infectious Diseases - The Experience with SARS-CoV-2/COVID-19",doi:"10.5772/intechopen.105950",signatures:"Andres Escobar and Chang-qing Xu",slug:"perspective-chapter-microfluidic-technologies-for-on-site-detection-and-quantification-of-infectious",totalDownloads:3,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"SARS-CoV-2 Variants - Two Years After",coverURL:"https://cdn.intechopen.com/books/images_new/11573.jpg",subseries:{id:"6",title:"Viral Infectious Diseases"}}}]},overviewPagePublishedBooks:{paginationCount:13,paginationItems:[{type:"book",id:"6667",title:"Influenza",subtitle:"Therapeutics and Challenges",coverURL:"https://cdn.intechopen.com/books/images_new/6667.jpg",slug:"influenza-therapeutics-and-challenges",publishedDate:"September 19th 2018",editedByType:"Edited by",bookSignature:"Shailendra K. Saxena",hash:"105e347b2d5dbbe6b593aceffa051efa",volumeInSeries:1,fullTitle:"Influenza - Therapeutics and Challenges",editors:[{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",institutionURL:null,country:{name:"India"}}}]},{type:"book",id:"7064",title:"Current Perspectives in Human Papillomavirus",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7064.jpg",slug:"current-perspectives-in-human-papillomavirus",publishedDate:"May 2nd 2019",editedByType:"Edited by",bookSignature:"Shailendra K. Saxena",hash:"d92a4085627bab25ddc7942fbf44cf05",volumeInSeries:2,fullTitle:"Current Perspectives in Human Papillomavirus",editors:[{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. 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