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Regulation of Endurance Performance: New Frontiers

Authors: --- --- --- --- et al.
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889453290 Year: Pages: 246 DOI: 10.3389/978-2-88945-329-0 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Physiology
Added to DOAB on : 2018-02-27 16:16:45
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Abstract

Successful endurance performance requires the integration of multiple physiological and psychological systems, working together to regulate exercise intensity in a way that will reduce time taken or increase work done. The systems that ultimately limit performance of the task are hotly contested, and may depend on a variety of factors including the type of task, the environment, external influences, training status of the individual and a host of psychological constructs. These factors can be studied in isolation, or inclusively as a whole-body or integrative system. A reductionist approach has traditionally been favoured, leading to a greater understanding and emphasis on muscle and cardiovascular physiology, but the role of the brain and how this integrates multiple systems is gaining momentum. However, these differing approaches may have led to false dichotomy, and now with better understanding of both fields, there is a need to bring these perspectives together. The divergent viewpoints of the limitations to human performance may have partly arisen because of the different exercise models studied. These can broadly be defined as open loop (where a fixed intensity is maintained until task disengagement), or closed loop (where a fixed distance is completed in the fastest time), which may involve whole-body or single-limb exercise. Closed loop exercise allows an analysis of how exercise intensity is self-regulated (i.e. pacing), and thus may better reflect the demands of competitive endurance performance. However, whilst this model can monitor changes in pacing, this is often at the expense of detecting subtle differences in the measured physiological or psychological variables of interest. Open loop exercise solves this issue, but is limited by its more restrictive exercise model. Nonetheless, much can be learnt from both experimental approaches when these constraints are recognised. Indeed, both models appear equally effective in examining changes in performance, and so the researcher should select the exercise model which can most appropriately test the study hypothesis. Given that a multitude of both internal (e.g. muscle fatigue, perception of effort, dietary intervention, pain etc.) and external (e.g. opponents, crowd presence, course topography, extrinsic reward etc.) factors likely contribute to exercise regulation and endurance performance, it may be that both models are required to gain a comprehensive understanding. Consequently, this research topic seeks to bring together papers on endurance performance from a variety of paradigms and exercise models, with the overarching aim of comparing, examining and integrating their findings to better understand how exercise is regulated and how this may (or may not) limit performance.

Keywords

Pacing --- Performance --- Fatigue --- Exercise --- Brain --- Muscle --- Running --- Cycling --- Triathlon --- Training

Sport, Spirituality, and Religion: New Intersections

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ISBN: 9783039218301 9783039218318 Year: Pages: 124 DOI: 10.3390/books978-3-03921-831-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Botany
Added to DOAB on : 2019-12-09 11:49:16
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The research studies included in this Special Issue highlight the fundamental contribution of the knowledge of environmental history to conscious and efficient environment conservation and management. The long-term perspective of the dynamics that govern the human–climate ecosystem is becoming one of the main focuses of interest in biological and earth system sciences. Multidisciplinary bio-geo-archaeo investigations into the underlying processes of human impact on the landscape are crucial to envisage possible future scenarios of biosphere responses to global warming and biodiversity losses. This Special Issue seeks to engage an interdisciplinary dialog on the dynamic interactions between nature and society, focusing on long-term environmental data as an essential tool for better-informed landscape management decisions to achieve an equilibrium between conservation and sustainable resource exploitation.

Philosophical Issues in Sport Science

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ISBN: 9783039218882 9783039218899 Year: Pages: 140 DOI: 10.3390/books978-3-03921-889-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Sports Science
Added to DOAB on : 2020-04-07 23:07:08
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The role and value of science within sport increases with ever greater professionalization and commercialization. Scientific and technological innovations are devised to increase performance, ensure greater accuracy of measurement and officiating, reduce risks of harm, enhance spectatorship, and raise revenues. However, such innovations inevitably come up against epistemological and metaphysical problems related to the nature of sport and physical competition. This Special Issue identifies and explores key and contemporary philosophical issues in relation to the science of sport and exercise. It is divided into three sections: 1. Scientific evidence, causation, and sport; 2. Science technology and sport officiating; and 3. Scientific influences on the construction of sport. It brings together scholars working on philosophical problems in sport to examine issues related to the values and assumptions behind sport and exercise science and key problems resulting from these and to provide recommendations for improving its practice.

Keywords

elite sports --- sport nutrition --- standards of evidence --- evidence-based practices --- randomized controlled trials --- philosophy of medicine --- casuistry --- umpiring and refereeing --- technological assistance to match officials --- justice and continuity in match officiating --- ball trackers --- goal-line technology --- football --- cricket --- tennis --- transgender --- trans women --- sport --- testosterone --- gender --- gender binary --- sports tournaments --- team rankings --- intransitive dominance --- win-loops --- social choice theory --- Condorcet’s paradox --- championship pluralism --- technology --- running --- fairness --- competition --- accuracy --- officiating --- justice --- the human element --- technology --- Hawk-Eye --- aesthetics of sports --- counterfactuals --- absence causation --- causal necessity --- causal contingency --- david kellogg lewis --- prelusory goal --- possible sport worlds --- metaphysics of sport --- causation in sport --- sport ethics --- technology --- the spirit of sport --- excellence --- anti-doping --- nature --- governance --- ethics --- testosterone --- discrimination --- integrity --- science --- fair-play --- sport --- athletics --- exercise science --- philosophy --- sport psychology --- materialism --- Aristotle --- causation and nature --- exercise professional --- professional knowledge --- health --- wellbeing --- philosophy --- medicalization --- scientism --- biomedicine --- sport science --- epistemology --- ontology --- causation --- technology --- evidence

Integrated Role of Nutrition and Physical Activity for Lifelong Health

Authors: ---
ISBN: 9783039212118 9783039212125 Year: Pages: 202 DOI: 10.3390/books978-3-03921-212-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-08-28 11:21:27
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As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

Keywords

aging --- chronic low-grade systemic inflammation --- physical activity --- nutrition --- physical performance --- chronic diseases --- adolescent --- free or reduced lunch --- National School Lunch Program --- Fitbit --- soccer --- low-income --- Latino --- added sugar --- sport nutrition --- sport --- older adults --- diet quality --- physical activity --- telemonitoring --- lifestyle intervention --- mechanisms of impact --- mediation analyses --- dietary restriction --- macronutrients --- physical exercise --- free radicals --- cytokines --- childhood memories --- sport spectators --- sport games --- sporting events --- music events --- food consumption --- out-of-home eating --- food healthiness --- immunity --- inflammation --- metabolism --- physical activity --- physical activity --- food intake --- adolescents --- movement skills --- fitness --- nutrition education --- health promotion --- behavioral intervention --- self-efficacy --- stunting --- overweight --- obesity --- physical activity --- dual burden of malnutrition --- compensatory eating --- exercise-induced anorexia --- food choice --- acute exercise --- behavioral economics --- nudges --- aging --- exercise --- diet --- telomerase --- TERRA --- telomere length --- senescence --- dietary intake --- physical activity --- body weight --- lifestyle change --- cardiometabolic health --- long-term follow-up --- vegetarian --- vegan --- half-marathon --- marathon --- running --- health conscious --- recreational athlete --- Protein --- oxidation --- anabolic competence --- breath test --- naturally enriched 13C-milk proteins --- endurance exercise --- skeletal muscle damage --- inflammation --- protein --- carbohydrates --- protein shake --- food --- n/a

Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)

Authors: ---
ISBN: 9783039213757 9783039213764 Year: Pages: 344 DOI: 10.3390/books978-3-03921-376-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR

Keywords

Vehicle-to-X communications --- Intelligent Transport Systems --- VANET --- DSRC --- Geobroadcast --- multi-sensor --- fusion --- deep learning --- LiDAR --- camera --- ADAS --- object tracking --- kernel based MIL algorithm --- Gaussian kernel --- adaptive classifier updating --- perception in challenging conditions --- obstacle detection and classification --- dynamic path-planning algorithms --- joystick --- two-wheeled --- terrestrial vehicle --- path planning --- infinity norm --- p-norm --- kinematic control --- navigation --- actuation systems --- maneuver algorithm --- automated driving --- cooperative systems --- communications --- interface --- automated-manual transition --- driver monitoring --- visual tracking --- discriminative correlation filter bank --- occlusion --- sub-region --- global region --- autonomous vehicles --- driving decision-making model --- the emergency situations --- red light-running behaviors --- ethical and legal factors --- T-S fuzzy neural network --- road lane detection --- map generation --- driving assistance --- autonomous driving --- real-time object detection --- autonomous driving assistance system --- urban object detector --- convolutional neural networks --- machine vision --- biological vision --- deep learning --- convolutional neural network --- Gabor convolution kernel --- recurrent neural network --- enhanced learning --- autonomous vehicle --- crash injury severity prediction --- support vector machine model --- emergency decisions --- relative speed --- total vehicle mass of the front vehicle --- perception in challenging conditions --- obstacle detection and classification --- dynamic path-planning algorithms --- drowsiness detection --- smart band --- electrocardiogram (ECG) --- photoplethysmogram (PPG) --- recurrence plot (RP) --- convolutional neural network (CNN) --- squeeze-and-excitation --- residual learning --- depthwise separable convolution --- blind spot detection --- machine learning --- neural networks --- predictive --- vehicle dynamics --- electric vehicles --- FPGA --- GPU --- parallel architectures --- optimization --- panoramic image dataset --- road scene --- object detection --- deep learning --- convolutional neural network --- driverless --- autopilot --- deep leaning --- object detection --- generative adversarial nets --- image inpainting --- n/a

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