Nuclear fuel cycle and their associated nuclear waste [3, 8–11, 13].
\r\n\tcontrol, other executive functions, and higher-order mental abilities. Contributing authors will further discuss applied, clinical, and practical implications of response inhibition deficits across neuropsychiatric phenomena with divergent clinical features and presentations, in addition to considering its potential value as an endophenotype or bio-behavioral marker of genetic susceptibility.
\r\n\r\n\tFinally, this book will cover current and emerging approaches to intervention, prevention, and remediation of response inhibition deficits in high-risk populations.
",isbn:null,printIsbn:"979-953-307-X-X",pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"a5d4f6ff2d0b298e7e0185af0c382b48",bookSignature:"Assistant Prof. Kenneth J.D. Allen",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11368.jpg",keywords:"Drug Therapy, Endophenotypes, Neurocognitive Disorders, Brain Injuries, Chronic Disease, Genetic Phenomena, Social Factors, Ecological Momentary Assessment, Executive Function, Neuropsychological Tests, Psychomotor Task Performance, Behavior Therapy",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"November 10th 2021",dateEndSecondStepPublish:"December 8th 2021",dateEndThirdStepPublish:"February 6th 2022",dateEndFourthStepPublish:"April 27th 2022",dateEndFifthStepPublish:"June 26th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"6 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:5,editedByType:null,kuFlag:!1,biosketch:"A neuroscientist with increasingly influential empirical and theoretical contributions to understanding the cognitive mechanisms underlying neuropsychiatric disorders, affiliated with the University of California, Brown University, and the University of Harvard where he was awarded his Ph.D. Degree. Dr. Allen is a member of the Association for Behavioral and Cognitive Therapies (ABCT), Sigma Xi Scientific Research Honor Society, and Society for Research in Psychopathology (SRP).",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"414673",title:"Assistant Prof.",name:"Kenneth J.D.",middleName:null,surname:"Allen",slug:"kenneth-j.d.-allen",fullName:"Kenneth J.D. Allen",profilePictureURL:"https://mts.intechopen.com/storage/users/414673/images/system/414673.jpg",biography:'I am a faculty member in the Department of Psychology at Oberlin College, where I direct the Cognition, Affect, Self-regulation, & Health (C.A.S.H.) Laboratory. I received my Ph.D. in clinical psychology from Harvard University and completed my predoctoral residency and postdoctoral fellowship at the Alpert Medical School of Brown University. 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From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. 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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"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1373",title:"Ionic Liquids",subtitle:"Applications and Perspectives",isOpenForSubmission:!1,hash:"5e9ae5ae9167cde4b344e499a792c41c",slug:"ionic-liquids-applications-and-perspectives",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/1373.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"2270",title:"Fourier Transform",subtitle:"Materials Analysis",isOpenForSubmission:!1,hash:"5e094b066da527193e878e160b4772af",slug:"fourier-transform-materials-analysis",bookSignature:"Salih Mohammed Salih",coverURL:"https://cdn.intechopen.com/books/images_new/2270.jpg",editedByType:"Edited by",editors:[{id:"111691",title:"Dr.Ing.",name:"Salih",surname:"Salih",slug:"salih-salih",fullName:"Salih Salih"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"51035",title:"Introductory Chapter: Introduction to Current Trends in Nuclear material Research and Technology",doi:"10.5772/62856",slug:"introductory-chapter-introduction-to-current-trends-in-nuclear-material-research-and-technology",body:'\nPeaceful applications of nuclear science and technology in medical, industrial, and agricultural fields have served human civilization over several decades. These applications lead to the spread uses of nuclear and radioactive materials in hospitals, clinics, factories, different research centers and universities, and other workplaces. Workers in nuclear fields recognized the importance of keeping their technologies reliable, clean, and improving its sustainability and safety. Major obstacles that face them are lack in some legalizations and technical expertise in some countries, shortage in international recourses, and the growing concerns about nuclear security and safeguards. To combat these obstacles, the International Atomic Energy Authority (IAEA) identified requirements to establish national infrastructure that can support nuclear energy program [1]. The following issues and their associated conditions could be used to judge the program.\n
National position, governmental support is a pivot element to develop a successful program and the maintenance of long-term political, social, and financial stability is a must.
Nuclear safety, stakeholders should be committed to achieve safety throughout the program lifecycle.
Management, highly competent management is key issue to attain safe and secure program.
Funding and financing, initial governmental funding and initial activities aim to develop human expertise to mange and regulate the facilities.
Legislative framework, national legal framework and international instruments, that is, conventions, agreements, and protocols signed by the country, should be integrated and implemented.
Safeguards, governmental commitment to nonproliferation obligations should be ensured.
Regulatory framework, effective independent competent national regulatory body can enhance public and international confidence in a specific program. Key aspect in this area is the development of competent human and physical resources.
Radiation protection, existing national infrastructure for nonnuclear energy program, that is, radiation, waste, and transport safety should be updated in compliance with international measures for nuclear energy program.
Electrical grid, nuclear energy is most efficient to run as base load generator and a general accepted principal that a single power plant should not exceed 10% of the total installed capacity.
Human resources development, development of educational and training capabilities especially in nuclear physics, nuclear material sciences for reactor operation, and fuel cycle among other specialties are needed to ensure crucial human resources sustainability.
Stakeholder involvement, reasonable involvement is a requisition of positive stable political and the proficiency of both regulatory body and operator is a key aspect in supporting public confidence.
Site and supporting facilities, stepwise selection process should be adopted that aims to identify safe, secure, and economically and socially accepted site.
Environmental protection, program impacts on the environment should be assessed with special consideration to regular discharge and adopted fuel cycle strategy.
Emergency planning, operating experiences indicated that emergency planning for operation and for workers and public outside the site boundary should be addressed as it complement facility safety and add to the defense in depth.
Security and physical protection, security should be supported by national legalization and multi-preventive security levels are needed and should be coordinated with nuclear safety requirements.
Nuclear fuel cycle (NFC), having clear nuclear fuel management strategy, is essential during the planning for a nuclear program; this should cover front- and backend fuel cycle. For front-end, international supplier can reduce the need to develop infrastructure in this field, whereas for back-end there should be national storage and the disposal development is governmental responsibility.
Radioactive waste, some countries that produce and use radioisotopes had developed low and intermediate level radioactive waste (LILW) predisposal and disposal infrastructure, which can support a nuclear energy program. But it should be noted that for spent fuel (SF) and high level waste (HLW), the only available technology is storage.
Industrial involvement, having nuclear energy program requires the enhancement of industrial capabilities, that is, supplying spare parts, consumable, instrument repair, and calibration services, according to the codes and standards under strict management system.
Procurement should be subjected to a strict management system.
It could be seen that these requirements are essential for any other nuclear activity and that the enhancement of waste and NFC capabilities has received considerable attention, as it is considered in six issues. In 2008, 3S concept was introduced for new users, but old users started also to consider these issues [2]. This concept aims to strengthen the relationship between safety, security, and safeguard to attain successful peaceful utilization of nuclear technology. Now, great efforts are directed to enhance safety, security, and safeguard aspects. This is achieved by identifying the impacts of current practices, determining anticipated trends toward better performances, and mitigating challenges for commercial application of innovative technologies. This chapter aims to introduce the technical efforts to improve NFC for fission technologies, trends in fusion research toward commercial utilization of its energy, challenges that face development in radioisotope production, and advances in the management of naturally occurring radioactive materials (NORMs) and technically enhance NORM (TENORM).
\nNuclear fuel cycle includes several integrated industries that produce and manage the fuel and its associated wastes before and after irradiation. As any industry, the development and operation of NFC facilities have different effects on the host society and the environment. The compensation between the added value of these facilities and its associated environmental impacts is an important challenge for the sustainability of these industries, epically with strengthen regulatory requirements that emerged recently [3, 4]. Table 1 lists NFC processes, its associated wastes, and impacts [3, 5]. Research and development efforts in NFC could be divided into two classes: the first is directed to enhance current commercial technology’s performance, in terms of operational safety improvements and cost and environmental impact reductions. The second class is concerned with getting innovative technologies into industrial scale applications. Nuclear Energy Agency (NEA) developed reports that summarize current and anticipated trends in NFC development within 20 years [5, 6]. Tables 2 and 3 list these trends for front- and back-end NFC processes, respectively [3, 5–15].
\nProcess | \nGenerated wastes | \nAssociated hazard in the facility | \nImpacts | \n|
---|---|---|---|---|
\n | Mining | \nLarge Liquid effluent volumes, Large amounts of NORM/ TENORM solid residues. | \nRadioactivity, Chemical toxicity. | \nExtraction of raw material, Generation of mining and milling tailings. | \n
Front end NFC | \nMilling | \nLow and intermediate level (L&ILW) in form of: Liquid effluent, sludge, insoluble and filter aid. | \nRadioactivity, Chemical toxicity, Flammability. | \n|
Conversion | \n||||
Enrichment | \nL&ILW, calcium fluoride, calcium hydroxide, contaminated water, gaseous wastes, i.e. UF6, F2 and HF, and depleted U3O8 | \n\n | Waste generation. | \n|
Fabrication | \nThe amount and types of waste is dependent on the reactor type and if open or close nuclear fuel cycle is applied, but generally L&ILW, and High Level Waste (HLW) | \n|||
Back end NFC | \nIrradiation and storage | \nCriticality, Radioactivity, Chemical toxicity, Flammability. | \nOperational & accidental release, Waste generation. | \n|
Fuel reprocessing and/or disposal | \nOperational releases and unanticipated radionuclide migration. | \n
Process | \nCommercial technologies | \nAnticipated trends | \nStrengthen requirement | \n
---|---|---|---|
Mining | \nLocalized deposits are used via\n
| \nTo ensure the sustainability\n
| \nIncreased concern to develop environmental impact assessment and environmental restoration plan. | \n
Conversion | \n\n
| \nRe-conversion of depleted uranium hexafluoride to U3O8. | \nIncreased measure due to the application of 3S concept. | \n
Enrichment | \n\n
| \nImprovements in centrifuge technology. | \n|
Fabrication | \nOxide fuel by pellet pressing and vibro-packing. | \nClad and fuel material improvements. | \nIncreased concern with reactor safety and application of 3S concept. | \n
Irradiation | \nDifferent reactor types are commercially available, that is, LWR, PHWR, AGR, FR. | \n\n
| \n\n |
Process | \nObjective | \nCommercial technologies | \nAnticipated trends | \n
---|---|---|---|
Storage | \nProvide safe and secure custody for the waste Protect operators and public from the radiological hazards of the waste. | \nPower plant pools, wet and dry storage. | \n\n |
Reprocessing | \nExtraction of isotope from SF. | \nPurex | \nDevelopment in Pyro-processing | \n
Transmutation | \nConverting long-lived radionuclides into stable- or shorter-lived nuclides. | \nNA | \nR&D to reach industrial-scale applications, | \n
Waste treatment | \nVolume reduction, Radionuclide removal, Changing waste composition. | \nDifferent technologies are available to treat aqueous, organic, and solid wastes. | \nInvestigating new materials, and innovative techniques, that is, utilization of composite materials, nano-sized magnetic material. | \n
Waste conditioning | \nImmobilize radio-contaminant in suitable matrix, Waste emplacement in suitable package. | \nL&ILW Immobilization in cement-based, polymer, and glass, HLW immobilization in glass, Cement-based or stainless steel containers. | \nDevelopment of SF container, Improving host matrix performance and application, that is, improving glass-melting technology, improving cementitious material performance. | \n
Waste disposal | \nIsolate conditioned waste under controlled conditions. | \nDifferent facilities of variable designs are available for I&LLW. | \nImprovement in design of disposal facilities, Licensing SF& HLW disposal. | \n
Decommissioning | \nFacility or material is removed partially or totally from regulatory control. | \nDifferent chemical and mechanical technologies. | \nR&D to reduce amounts of secondary waste. | \n
Fusion technology is expected to be an environmental favorable energy source that affects future energy market [16, 17]. This technology faced different challenges, that is, understand plasma physics, find suitable materials that can perform efficiently in plasma environment, and find technology that can efficiently and environmentally friendly produce electricity. In 2012, the European Fusion Development Agreement (EFDA) published a road map toward fusion energy. This publication identified the challenges, missions to tackle these challenges, and anticipated milestones till 2050 [18]. Table 4 summarizes these issues and the anticipated actions till 2020.
\nChallenges | \nObjective | \nMissions | \nAnticipated milestones | \n
---|---|---|---|
Plasma regime operation | \nMinimize energy losses due to small-scale turbulence, Restrain plasma instabilities, Integrated performance with the divertor. | \nMaintain inductive and steady-state regime, Study compatibility at maximum power between high radiation and confinement. | \nUse JET to explore operational regimes Demonstrate JT60SA reliability, Define preliminary confinement scaling law in medium-sized tokamak. | \n
Heat Exhaust | \nEstablish exhaust system and plasma-facing materials that withstand large heat loads. | \nDemonstrate the control of detached conditions, Optimize radiated power, Study core contamination in case of impurity injection. | \nTest snowflake and super X configurations, Evaluate liquid metal targets in tokamaks. | \n
Neutron-resistant materials | \nIdentify baseline materials that maintain their structural and thermal performance under operational conditions. | \nCharacterization, irradiation, and modeling the material’s performance. | \nUse IFMIF and EVEDA to generate baseline material list, Identify risk reduction options, Demonstrate welding and joining processes performance. | \n
Tritium self-sufficiency | \nAchieve efficient breeding and reliable extraction systems. | \nDemonstrate efficient and reliable H3 extraction, Test the performance of blanket/first wall. | \nDetermine the blanket, divertor, and coolant reliability, Evaluate alternate designs. | \n
Intrinsic safety | \nDemonstrate inherent safety. Reduce waste management activity and define end point for the management strategy. | \nSafety rely on defense in depth and passive safety concepts with emphasis on vacuum vessel integrity, existence of expansion volumes, Efficient detritiation techniques and selection of disposal routes. | \nSafety of waste management and waste recycling. | \n
Integrated DEMO design | \nIntegrate all fusion technology into DEMO design. | \nDevelop a magnet to reduce performance degradation in cyclic operation, Increase electron cyclotron frequency. | \nCapitalize ITER experience, Modest targeted investments in DEMO design, Cost minimization analysis. | \n
Competitive electricity cost | \n\n | Life cycle cost analysis, Extend the operational times, increase the power conversion cycle efficiency, Decrease re-circulating power. | \n\n |
Bringing stellarator to maturity | \nDevelop stellarator. | \nValidate energy and particle confinement of optimized divertor. | \nInvestigate the performance of plasma confinement and cooling components. | \n
Milestones toward fusion technology application till 2020 [18].
There are more than 160 different radioisotopes that are used regularly in different fields; these isotopes are produced either in a medium- or in a high-flux research reactors or particle accelerators (low or medium energy) [19, 20]. In 2014, IAEA published the results of a meeting on current status and future trends on radioisotope application in industry. The meetings produced a prioritized list that identifies area of interests in this field, which includes the application of small-sized neutron generators, development and application of nano-tracers, radiotracer application in mineral industry, tracer technology for sediment transport, development of radiotracer generators, tomography, hybrid instrumentation, process modeling, application in petroleum industry, high-resolution detectors, and process industry [21].
\nThe sustainability of radioisotope production is one of the critical areas that receive great attention. 99Mo is the greatest produced isotope that decays to 99mTc, which is used in 85% of the nuclear medicine diagnostic imaging procedure worldwide [22, 23]. Currently, the world production relies on using highly enriched uranium targets (HEU). IAEA activity in this field focuses on the conversion of this technology to using low enriched uranium (LEU) targets [23]. Table 5 summarizes available and innovative technologies in the production of 99Mo.
\nCurrent methods | \nApplication | \nFeature | \nChallenges | \n
---|---|---|---|
Nuclear reactors | \n|||
Heterogeneous reactor using HEU target | \nBelgium, Canada, Netherlands. | \nProduce 93% of the world production. | \nNonproliferation concerns, Consume ≅50 kg HEU, Low production yield [20]. | \n
Heterogeneous LEU targets | \nSouth Africa, Argentina, South Korea, and Australia [24]. | \nNo nonproliferation threat. | \nImprovements in target materials, Improvement in separation technology [26]. | \n
Heterogeneous reactor –Neutron activation | \nUSA, India, Japan, Kazakhstan, Peru, Russia, and Uzbekistan. | \nUse natural uranium. | \nLess productive, Low specific activity. | \n
Homogeneous reactor LEU target | \nUSA and Russia. | \nHigh production yield, Flexible process optimization, Reduce waste generation, Efficiently produce isotopes, Better economics [25]. | \nLow separation efficiency [23]. | \n
Accelerator production | \n|||
Proton based | \nTested experimentally, (Molybdenum target). | \nDirect production of 99mTc, Yield depends on the cyclotron energy, Very low radioactive waste [26,27], | \nAttainment of high energy, and intensity, Optimize targets to maximize secondary neutron production and thermalization [26]. | \n
Electron | \nTested experimentally, (Molybdenum target). | \nTheoretical High yield, | \nHigh energy electron with high power, Pure Mo target [27]. | \n
\n | Tested experimentally, (Uranium target). | \nYield similar to reactor yield, No ficile material used. | \nWaste arising similar to that of LEU reactor route, High-energy electron with high-power attainment [27]. | \n
NORM and TENORM residue generation accompanies industrial activities to exploit natural resources, namely mining, physical, wet chemical, and thermal processes that aim to separate, extract, and process these resources. The problems of managing these materials are related to their huge volume, very low specific radioactivity content, their presence in non-radiological industries, and the variability of their chemical, physical, and radiological properties that differ from industry to another and from site to site [4, 28]. Historical poor management practice led to different contamination problems that vary in their extent and properties. Dealing with these problems is affected by ethical, technical, and economical considerations [3, 4, 10, 29–30]. IAEA defined six radiological bands that could be used to support the decision-making process for remediation project [31]. Research and development in this area is directed to enhance the performance of remediation technologies and their economics [4, 10].
\nFinding a safe management route for NORM and TENORM motivated governments to announce their policy and strategy in this area [4]. In this context, these residues were divided into two categories: the first one is characterized by its moderate-activity concentration and huge volume, whereas the second contains higher-activity concentration and small volume. Recycling/reuse option has attracted attention on the international and national scale for the first category, where this option is considered after evaluating the chemical and radiological properties of the residues and updating the regulatory and legal framework. For the second category, disposal as waste is the only option [28]. Researches in this field is concerned with NORM/TENORM hazard characterization and evaluating their environmental impacts.
\nThis chapter introduces advances in areas where nuclear material is produced and used. It aims to highlight the gaps that need further elaboration toward sustainable, safe, and reliable utilization of these materials. It could be concluded that\n
Researches and development efforts are needed in different areas to enhance current system safety and performance and to support the commercial application for innovative technologies.
3S integration is a must, and international, regional, and national organizations started to implement this concept by issuing guidelines to adjust the legal framework, and support operation of non-HEU in radioisotope production.
Huge efforts are needed to address the challenges that face the application of anticipated trends on the governmental, operational, and regulatory levels and to coordinate these efforts.
The cognitive abilities of people who start a physical rehabilitation program are essential to ensure the effectiveness of therapeutic exercise. The ability to understand and follow instructions, the ability to perform exercise with the indicated frequency, as well as the ability to integrate physical improvements into activities of daily living are factors that influence the success of physical treatment in the short and long term. In people with Parkinson’s disease (PD), the effects of physical rehabilitation are widely documented in the scientific literature, establishing the possibility of motor learning in people with PD during early stages of the disease. However, patients could experience cognitive impairment over the evolution of PD whose clinical expression, severity, and progression can be variable. These cognitive changes can range from subtle impairment to mild cognitive impairment (PD-MCI) or to more severe deficits such as dementia due to Parkinson’s disease (PDD), and they can appear from early to more advanced stages of the disease [1]. In people with PD-MCI or PDD, the implementation of a rehabilitation program acquires additional challenges that can hinder its effectiveness. This may be one of the reasons why in the scientific literature on the effects of physical treatments, we constantly see that having a normal cognitive state is included as a criterion for participation of people with PD, frequently evaluated by a quick cognitive screening with the mini-mental Parkinson’s examination [2] or the Montreal Cognitive Assessment [3].
Comparing with age-matched healthy groups, people with PD exhibit a faster decline in certain cognitive domains like executive, attentional, visuospatial, and memory functions [4]. Even though these cognitive alterations of people with PD are greater than typical for normal aging, they are measurable through standardized cognitive scales, and they are consistent with PD-MCI, they do not critically interfere with daily functioning. Conversely, PDD involve more severe cognitive deficits, and these have a significant impact on day-to-day and functional activities [1, 5]. In addition, PDD is often accompanied by behavioral features such as apathy, mood disorders, excessive daytime sleepiness, and psychosis [6]. Despite these differences, it should be noted that PD-MCI increases the risk of conversion to dementia 6-fold [1].
A person’s functional capability is the result of the interaction of three factors: the individual, the objective task, and the environment where the task takes place [7]. This means that the movements respond to a specific demand that involve what we going to do and where we going to do it. From the individual, not only is the indemnity of the motor system necessary to exercise functional movement, but an interaction with the sensory and cognitive systems is also required. We can say with total certainty that movement is a cognitive-sensory-motor phenomenon. More specifically, when we exercise a voluntary movement, the cognitive system acquires special relevance in the motor control.
Action planning and selection, action initiation, online adaptation during actual execution, and inhibition of an ongoing action are among the main cognitive tasks directly involved in the execution of the voluntary movement, although not the only ones involved [8]. These components related to the action control belong to higher cognitive processes to modulate and produce behavior: the executive functions. Associated with the prefrontal cortex, the impairment in one or more of the components of executive functions has been related to motor abilities such as walking efficiently and safely. Seen from an example, poor self-awareness of limitations, an aspect of volition, might result in an increased risk of falling, or the impaired planning skills could result in getting lost or choices that produce inefficient pathways or unnecessary effort to arrive at a destination [9]. Other executive functions related to functional movement under multiple stimuli are dual execution and multitasking, considered as the ability to organize and perform tasks optimally simultaneously, intercalating them. This ability to perform more than one task at the same time is the basis of the functional environment, where people are exposed to several cognitive demands.
On the other hand, attention has been also determined as essential in goal-directed movement. Attention can be classified into separate functions, including focused or selective, sustained, divided, and alternating. This cognitive function is defined as the state of observation and alert that allows awareness of what happens in the environment. It is a capacity or process by which specific mental resources are generated and directed on the most relevant aspects of the environment or the most appropriate actions, maintaining the appropriate state of activation to achieve a goal or purpose. To carry out this process, it is necessary to focus on specific stimuli, ignoring other minor ones. The attention is necessary to initiate and adapt a movement that is developed voluntarily. For example, when we want to start walking in unfamiliar terrain or modify the gait pattern to change direction or avoid an obstacle, the first thing we do is direct our attention to this requirement, controlling the gait from the motor cortex.
In addition to attention and executive functions, other authors have mentioned that cognitive processes such as emotion (motivation) or memory are also crucial to develop motor tasks with a certain objective within a certain environment [7]. Anyway, either by the connections of the basal ganglia with the primary motor cortex, supplementary motor area, premotor cortex, and cingulate motor area (motor circuit) or, on the other hand, with the dorsolateral prefrontal cortex and lateral orbitofrontal cortex (executive circuit), movement in Parkinson’s disease is threatened from mild to moderate stages long before dementia appears.
In the previous section we have seen the relationship that cognitive functions have to generate voluntary movement. But what happens the other way around? Can motor practice influence cognitive performance? The truth is that non-pharmacological interventions are an essential part of the treatment in PD. Physiotherapy, speech therapy, psychology, and occupational therapy are the most common nondrug health strategies to alleviation the symptoms directly related with a poor development a functional live. Even when pharmacological and surgical treatment improved immediate parkinsonian symptoms and, in consequence, quality of life, there has been a limited effect on axial symptoms, i.e. gait, posture, balance, speech, and swallowing [10] and also on cognitive deficiencies [11]. These disabilities not only have a powerful impact on the activities of daily living for people with PD but are also strongly related to dependency and mortality [12].
In this regard, physical rehabilitation, physiotherapy, or physical therapy has shown an effect beyond the physical characteristics itself that it pretends to rehabilitate, and in addition, it will also depend on the type of physical therapy that is implemented. This has been demonstrated in aging people without associated pathologies, as well as in people with PD. In healthy aged people it has been shown that resistance exercises and resistance training are powerful physical intervention strategies to induce meaningful functional brain changes, especially in the frontal lobe, which are accompanied by improvements in executive functions [13]. In the same way, aerobic and coordination exercises seem to be more beneficial to cognitive processes than other exercises such as stretching or balancing to improve cognitive functions like memory, processing and perceptual speed, and attention [14]. On other hand, in recent years, the effectiveness of multi-domain physical therapy in different population has gained much prominence. This kind of therapy involves both motor and cognitive practice, and it has been studied through dual-task or multi-task training, where the persons performs a primary task, such as gait, while performing other secondary cognitive (or motor) task. In this type of exercise, the patients have to shift attention from one task to another in order to achieve the objective of both, e.g. walking and saying aloud a shopping list [15]. In this way, the dual-task in physical rehabilitation imitates a habitual functional context within the therapy itself, where people practice a motor exercise subjected to the usual demands of the environments in activities of daily living. That is why studies generally report greater cognitive improvements with multi-domain training in older age [16]. Specifically, clinical trials using dual motor-cognitive tasks led to improvements of domains related to global cognitive functions and inhibitory control in older people [17].
In people with PD this also has been widely studied. Besides the poor pharmacological effect on cognition, the importance of finding noninvasive therapies that improve cognitive deficiencies is crucial for two main reasons. The first is that cognitive impairment in people with PD can appear in the early stages of the disease, and on the other hand, mild cognitive impairment represents a significant risk factor for early dementia [10]. Recently published systematic reviews have been summarized that physical therapy has a positive effect on global cognitive function, processing speed, sustained attention, mental flexibility, visuospatial, and executive functions in people with Parkinson’s disease [10, 18, 19, 20, 21], besides motor function. However, the main function benefiting from the different physical training is the executive and global cognitive function measured through different cognitive screening (Figure 1). This may be due to the described relationship of the executive functions in the planning and initiation of the voluntary movement. Although it has been described that several physical therapy programs can have an impact on cognitive performance, it is worth asking what type of strategy achieves the best effects. Aerobic [22, 23, 24, 25], multi-modal [26, 27, 28], and multi-domain [29] are the most referenced techniques in the literature that measures the effects of cognitive functions through a standardized test for it. While multi-domain refers to interventions targeting two or more domains, as physical exercise and cognitive training, in this section we use multi-modal as different components of the same domain, e.g., the combination of strength and balance training in the same program. However, in some publications, both terms may refer to intervention programs with components from different domains.
Physical training applied to people with Parkinson’s disease has shown a significantly positive effect on one or more cognitive functions, measured through standardized tests for cognitive performance.
Studies with multi-domain intervention have shown that the ability to transfer the performance improvements depended largely on the demands, particularly cognitive, of the specific task involved [30]. One of the most repeated examples in the literature is the use of virtual-reality-based training; however, this requires that patients have individual sessions and the availability of the respective equipment. A more feasible multi-domain training option is dual-task training, which can be applied individually or in groups. The studies so far that analyze the effectiveness of dual-cognitive task training assess the performance of the secondary cognitive task itself, but not the cognitive function through a standardized test. Even so, studies have been published indicating that dual motor and cognitive tasks improve executive functions measured through the Trail Making Test [15].
Finally, the revised systems reviews indicate that trials that used longer interventions were associated with improved attention and processing speeds, whereas trials conducted among individuals with mild cognitive impairment tended to show more memory improvement compared to non-dementia samples [19, 21].
We have reviewed that physical rehabilitation can have effects on cognitive functions even when these are not the objective of the intervention. But what happens to the physical performance when people with PD have dementia, have mild cognitive impairment, or do not have any cognitive disability? Regardless of the range of signs and motor dysfunctions that we can find in PD, we will analyze this issue from the functionality of the hand and gait.
Impairment in voluntary hand movements results from deficits characteristics of PD such as slowness of movements and difficulty in executing sequential movements. Also, the performance of hand fine motor skills is not the same for people with PD without cognitive impairment and people with PD as well as cognitive impairment and dementia. Although the scientific evidence of these differences in samples exclusively with PD is limited, a few authors specifically indicate in which domains of hand functionality we can observe these differences (Table 1). Dahdal et al. determined that people with PD and mild cognitive impairment exhibited a significant worse motor performance in precision (to guide a stylus through a narrow curved track without touching the sides), dexterity (to insert 25 long and short pins into holes in a platform), and velocity of arm-hand movement (time spent to precisely hit 20 subsequent points lined in a row) tasks [31]. Likewise, Tan et al. found that people with PD and dementia have poorer hand function in pen-holding, buttoning, and knotting actions than do the patients without dementia [32].
Authors | Task/test | PD MCI | PD non-MCI |
---|---|---|---|
Dahdal et al. [31] | −0.36 (1.04) | 0.25 (0.74) | |
−0.28 (0.8) | 0.14 (0.7) | ||
Velocity of arm-hand: velocity required to precisely hit 20 subsequent points lined in a row | −0.28 (0.9) | 0.16 (0.6) | |
Tan et al. [32] | Pen-holding | 1.2 (1.5) | 0.8 (1.3) |
Buttoning | 2.0 (1.6) | 1.7 (1.5) | |
Knotting | 2.0 (1.6) | 1.6 (1.5) |
Significant differences found between people with PD, with and without cognitive impairment/dementia in hand functionality performance.
Means and standard deviations of the hand function outcomes. MCI, mild cognitive impairment; PDD, Parkinson’s disease dementia. Differences founded by Dahdal et al. show p values <0.05. Differences founded by Tan et al. show p values <0.001. Tan et al. assessed the domains 8.1 (pen holding), 8.2 (buttoning), and 8.3 (knotting) of the Functioning Disability Evaluation Scale Adult Version with a 4-point scale that designate if there was total independence or a need for assistance when accomplishing tasks (0 = total independence, 1 = need for supervision or mild assistance, 2 = need for moderate assistance, 3 = need for maximal assistance, 4 = need for total assistance).
In addition to these differences, the authors demonstrated the significant correlation of precision task with age of participants and the MiniMental State Examination results [31]. Also, pen-holding and knotting performance was significantly associated with dementia in patients with moderate-to-advanced PD, which allowed the researchers to establish there is a 13% higher probability of dementia for PD patients if they had any level of disability in pen holding [32].
Gait performance has been become in an indicator of health in many pathologies. In fact, gait speed in older adults has been accepted as a reliable and sensitive measure for assessment of physiologic performance and prediction of clinical outcomes, and indeed has been regarded as the “sixth vital sign” [33]. Added to this, people with PD report that gait impairments are the most disabling motor symptoms of the disease [34]. Most of the studies when analyzing the effects of gait rehabilitation programs exclude patients with dementia or cognitive disorders in their samples, even though this group of patients suffers a worse deterioration of the walking pattern than do people with PD without cognitive disorders (Table 2). PD patients with cognitive impairment walked slower and had shorter step length and stride length than those without cognitive impairment [35, 36]. In those studies that only analyzed a sample of patients with dementia or cognitive impairment without a control group [37, 38], the values recorded are below normal gait pattern.
Authors | PD MCI/PDD | PD non-MCI/PDD | |
---|---|---|---|
Velocity (m/s) | Kim et al. [35] | 0.55 ± 0.29 | 0.66 ± 0.30 |
Chen et al. [36] | 1.07 ± 1.51* | 1.21 ± 1.69 | |
Chen et al. [37] | 0.88 | — | |
Mc Ardle et al. [38] | 0.89 ± 0.25 | — | |
Step length (m) | Kim et al. [35] | 0.30 ± 0.16* | 0.38 ± 0.14 |
Mc Ardle et al. [38] | 0.51 ± 0.12 | — | |
Stride length (m) | Kim et al. [35] | 0.62 ± 0.30* | 0.74 ± 0.28 |
Chen et al. [36] | 0.62 ± 0.21* | 0.64 ± 0.16 | |
Chen et al. [37] | 0.66 | ||
Cadence (steps/min) | Chen et al. [36] | 98.13 ± 16.81* | 97.61 ± 11.11 |
Gait performance in people with PD and mild cognitive impairment or Parkinson’s dementia.
Comparison with PD non-MCI/PDD is statistically significant. Authors who assess participants with mild cognitive impairment: Kim et al.; Chen, Cheng et al.; Chen, Lien et al. Authors who assess participants with dementia: Mc Ardle et al.
Means and standard deviations of the gait outcomes. MCI, mild cognitive impairment; PDD, Parkinson’s disease dementia.
As with the parameters of hand functionality, correlations between gait variables and other parameters related to dementia have also been demonstrated in gait. Mini Mental State Examination is significantly associated with step length [35] and stride length [35]. Also, cognitive domains such as attention and visuospatial have been positively correlated with step and stride length [35].
In addition to the classic correlations between gait performance and cognitive performance, studies that search to predict cognitive decline in PD people demonstrate that gait variability is associated with lower cognitive performance [39, 40]. The variability is usually calculated through the coefficient of variation (CV = [standard deviation/mean] × 100) and indicates how stable or repeatable the analyzed sample is when walking. It answers the question whether the participants with PD always walked in all repetitions at the same speed or with the same stride length. These studies indicate that gait variability is an indicator or biomarker of specific cognitive domains (fluctuating attention and visual memory) in early PD, and even that it is a stronger predictor than baseline cognition [39].
While dementia caused by traumatic brain injury is usually static, dementia caused by neurodegenerative diseases is usually progressive and can eventually be fatal [41]. Although motor rehabilitation impact on people with PD is widely referenced in the scientific literature, the physical effects that can be achieved with physiotherapy in people with PD and dementia are hardly documented. That is why the steps of the new research that seek to clarify the relationship between motor performance and the cognitive impairment and dementia in PD should be as follows:
Randomized control trials about the effectiveness of physical rehabilitation should be include as secondary outcomes the assessment of cognitive functions which performed may be impaired in PD: executive function, attention, speech and language, visuospatial, memory and psychological and behavioral functioning [1].
Although usually in randomized controlled trials on physical rehabilitation, the sample is subdivided by the severity of the disease, according to either the Hoehn and Yahr scale or the Unified Parkinson’s Disease Rating Scale, researchers must take into account the analysis of the scope of the effectiveness of physical rehabilitation in patients with different degrees of cognitive impairment or dementia, which implies not excluding their participation in research.
Likewise, studies that introduce cognitive training in people with PD should study the effects of the intervention on motor functions such as gait, balance, and hand functionality.
Scientific publications suggest that physical interventions that include multi-domain interventions have better results than physical programs that focus on a single physical aspect.
Moreover, cognitive disorder and dementia are not the only mental disorders that PD patients suffer during the course of the disease. While cognitive decline is one of the most frequent and important nonmotor symptoms in PD [4], mental disorders such as depression, anxiety, insomnia, apathy, and psychosis are other aspects that people with PD deal throughout the disease [42]. Although the alteration of executive functions is part of mild cognitive impairment, dysexecutive syndrome is a clinical picture that requires a specialized study in people with PD. Dysexecutive behavioral disorders may include distractibility, perseverative behavior, poor flexibility, and impulse control, strongly affecting the social functioning of patients. However, these symptoms are not included in the regular executive functions assessment, which is frequently focused on the initiation, inhibition, flexibility, generation, deduction, planning, and coordination of a motor task with some cognitive requirement. Roussel et al. evaluated both cognitive and behavioral domains of the dysexecutive syndrome. These authors determined that dysexecutive syndrome was observed in 80.6% (sample size = 88) of PD patients, and selectively affected either the behavioral domain or the cognitive domain in more than half of the patients [43]. Although there are still aspects to study about the scope of physical therapy for people with dementia in PD, researchers should not ignore the mental disturbances that can appear in the course of the disease.
It has been identified that people with PD and cognitive impairment have lower physical functional performance than do people with PD without cognitive impairment. This may be due to alterations in specific cognitive functions that are involved in the planning and execution of voluntary movements, such as executive functions and attention.
Studies that analyze the effects of physical rehabilitation with aerobic exercises, multi-modal or in a multi-domain context, observe cognitive improvements in their participants in addition to physical improvements. Future research should study the effects of physical rehabilitation on the different characteristics of the disease and on people with cognitive impairment and dementia since it constitutes a powerful non-pharmacological treatment tool with benefits in multiple systems.
The author declares no conflict of interest.
PD | Parkinson’s disease |
PD-MCI | Mild cognitive impairment in Parkinson’s disease |
PDD | Dementia due to Parkinson’s disease (PDD) |
CV | Coefficient of variation |
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Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. 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Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356823",title:"MSc.",name:"Seonghee",middleName:null,surname:"Min",slug:"seonghee-min",fullName:"Seonghee Min",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Daegu University",country:{name:"Korea, South"}}},{id:"353307",title:"Prof.",name:"Yoosoo",middleName:null,surname:"Oh",slug:"yoosoo-oh",fullName:"Yoosoo Oh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:"Yoosoo Oh received his Bachelor's degree in the Department of Electronics and Engineering from Kyungpook National University in 2002. He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. His research interests include Activity Fusion & Reasoning, Machine Learning, Context-aware Middleware, Human-Computer Interaction, etc.",institutionString:null,institution:{name:"Daegu Gyeongbuk Institute of Science and Technology",country:{name:"Korea, South"}}},{id:"262719",title:"Dr.",name:"Esma",middleName:null,surname:"Ergüner Özkoç",slug:"esma-erguner-ozkoc",fullName:"Esma Ergüner Özkoç",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Başkent University",country:{name:"Turkey"}}},{id:"346530",title:"Dr.",name:"Ibrahim",middleName:null,surname:"Kaya",slug:"ibrahim-kaya",fullName:"Ibrahim Kaya",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"419199",title:"Dr.",name:"Qun",middleName:null,surname:"Yang",slug:"qun-yang",fullName:"Qun Yang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Auckland",country:{name:"New Zealand"}}},{id:"351158",title:"Prof.",name:"David W.",middleName:null,surname:"Anderson",slug:"david-w.-anderson",fullName:"David W. Anderson",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Calgary",country:{name:"Canada"}}}]}},subseries:{item:{id:"40",type:"subseries",title:"Ecosystems and Biodiversity",keywords:"Ecosystems, Biodiversity, Fauna, Taxonomy, Invasive species, Destruction of habitats, Overexploitation of natural resources, Pollution, Global warming, Conservation of natural spaces, Bioremediation",scope:"