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The current book presents the articles included in the Special Issue “Women in Sports and Exercise: From Health to Sports Performance”. Readers will find in this book evidence about the relationships between physical qualities in sports and how women's performance can be optimized using dedicated training intervention. Moreover, information about the impact of the menstrual cycle on athletic performance will be revealed. Attention to physical activity patterns in women will be also disclosed.
Lifestyle, sport & leisure --- gender --- training load --- health surveys --- sport participation --- football --- athletic performance --- anaerobic --- aerobic --- sports training --- female athletes --- ovarian cycle --- plyometric exercises --- testing --- velocity --- sports nutrition --- continuous glucose monitoring --- carbohydrate --- protein --- hydration --- trail running --- Freestyle Libre --- breast cancer --- rowing --- exercise --- quality of life --- perceived health --- IPAQ-SF --- SF-36 --- movement quality --- physical performance --- strength --- power --- flexibility --- women --- physical activity --- racket sport --- injury --- elbow --- electromyography --- co-activation --- physical fitness --- high-intensity interval training --- high-intensity functional training --- body composition --- aerobic fitness --- muscle performance --- performance --- unilateral --- final score --- winning --- match result --- situational variables --- menstruation disturbances --- menstrual cycle --- athletes --- women’s health --- woman --- female --- sports performance --- creatine --- circadian rhythms
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The current book presents the articles included in the Special Issue “Women in Sports and Exercise: From Health to Sports Performance”. Readers will find in this book evidence about the relationships between physical qualities in sports and how women's performance can be optimized using dedicated training intervention. Moreover, information about the impact of the menstrual cycle on athletic performance will be revealed. Attention to physical activity patterns in women will be also disclosed.
gender --- training load --- health surveys --- sport participation --- football --- athletic performance --- anaerobic --- aerobic --- sports training --- female athletes --- ovarian cycle --- plyometric exercises --- testing --- velocity --- sports nutrition --- continuous glucose monitoring --- carbohydrate --- protein --- hydration --- trail running --- Freestyle Libre --- breast cancer --- rowing --- exercise --- quality of life --- perceived health --- IPAQ-SF --- SF-36 --- movement quality --- physical performance --- strength --- power --- flexibility --- women --- physical activity --- racket sport --- injury --- elbow --- electromyography --- co-activation --- physical fitness --- high-intensity interval training --- high-intensity functional training --- body composition --- aerobic fitness --- muscle performance --- performance --- unilateral --- final score --- winning --- match result --- situational variables --- menstruation disturbances --- menstrual cycle --- athletes --- women’s health --- woman --- female --- sports performance --- creatine --- circadian rhythms
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The current book presents the articles included in the Special Issue “Women in Sports and Exercise: From Health to Sports Performance”. Readers will find in this book evidence about the relationships between physical qualities in sports and how women's performance can be optimized using dedicated training intervention. Moreover, information about the impact of the menstrual cycle on athletic performance will be revealed. Attention to physical activity patterns in women will be also disclosed.
Lifestyle, sport & leisure --- gender --- training load --- health surveys --- sport participation --- football --- athletic performance --- anaerobic --- aerobic --- sports training --- female athletes --- ovarian cycle --- plyometric exercises --- testing --- velocity --- sports nutrition --- continuous glucose monitoring --- carbohydrate --- protein --- hydration --- trail running --- Freestyle Libre --- breast cancer --- rowing --- exercise --- quality of life --- perceived health --- IPAQ-SF --- SF-36 --- movement quality --- physical performance --- strength --- power --- flexibility --- women --- physical activity --- racket sport --- injury --- elbow --- electromyography --- co-activation --- physical fitness --- high-intensity interval training --- high-intensity functional training --- body composition --- aerobic fitness --- muscle performance --- performance --- unilateral --- final score --- winning --- match result --- situational variables --- menstruation disturbances --- menstrual cycle --- athletes --- women’s health --- woman --- female --- sports performance --- creatine --- circadian rhythms --- gender --- training load --- health surveys --- sport participation --- football --- athletic performance --- anaerobic --- aerobic --- sports training --- female athletes --- ovarian cycle --- plyometric exercises --- testing --- velocity --- sports nutrition --- continuous glucose monitoring --- carbohydrate --- protein --- hydration --- trail running --- Freestyle Libre --- breast cancer --- rowing --- exercise --- quality of life --- perceived health --- IPAQ-SF --- SF-36 --- movement quality --- physical performance --- strength --- power --- flexibility --- women --- physical activity --- racket sport --- injury --- elbow --- electromyography --- co-activation --- physical fitness --- high-intensity interval training --- high-intensity functional training --- body composition --- aerobic fitness --- muscle performance --- performance --- unilateral --- final score --- winning --- match result --- situational variables --- menstruation disturbances --- menstrual cycle --- athletes --- women’s health --- woman --- female --- sports performance --- creatine --- circadian rhythms
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The advances in the technology and methodology for human movement capture and analysis over the last decade have been remarkable. Besides acknowledged approaches for kinematic, dynamic, and electromyographic (EMG) analysis carried out in the laboratory, more recently developed devices, such as wearables, inertial measurement units, ambient sensors, and cameras or depth sensors, have been adopted on a wide scale. Furthermore, computational intelligence (CI) methods, such as artificial neural networks, have recently emerged as promising tools for the development and application of intelligent systems in motion analysis. Thus, the synergy of classic instrumentation and novel smart devices and techniques has created unique capabilities in the continuous monitoring of motor behaviors in different fields, such as clinics, sports, and ergonomics. However, real-time sensing, signal processing, human activity recognition, and characterization and interpretation of motion metrics and behaviors from sensor data still representing a challenging problem not only in laboratories but also at home and in the community. This book addresses open research issues related to the improvement of classic approaches and the development of novel technologies and techniques in the domain of motion analysis in all the various fields of application.
Technology: general issues --- falls --- slips --- trips --- postural perturbations --- wearables --- stretch-sensors --- ankle kinematics --- rowing --- technology --- inertial sensor --- accelerometer --- performance --- signal processing --- sEMG --- knee --- random forest --- principal component analysis --- back propagation --- estimation model --- knee angle --- deep learning --- neural networks --- gait-phase classification --- electrogoniometer --- EMG sensors --- walking --- gait-event detection --- automotive radar --- machine learning --- walking analysis --- seated posture --- cognitive engagement --- stress level --- load cells --- embedded systems --- sensorized seat --- flexion-relaxation phenomenon --- surface electromyography --- wearable device --- WBSN --- automatic detection of the FRP --- Internet of Things (IoT) --- human activity recognition (HAR) --- motion analysis --- wearable sensors --- cerebral palsy --- hemiplegia --- motor disorders --- gait variability --- coefficient of variation --- surface EMG --- statistical gait analysis --- activation patterns --- co-activation --- Parkinson’s disease --- activity recognition --- rate invariance --- Lie group --- falls --- slips --- trips --- postural perturbations --- wearables --- stretch-sensors --- ankle kinematics --- rowing --- technology --- inertial sensor --- accelerometer --- performance --- signal processing --- sEMG --- knee --- random forest --- principal component analysis --- back propagation --- estimation model --- knee angle --- deep learning --- neural networks --- gait-phase classification --- electrogoniometer --- EMG sensors --- walking --- gait-event detection --- automotive radar --- machine learning --- walking analysis --- seated posture --- cognitive engagement --- stress level --- load cells --- embedded systems --- sensorized seat --- flexion-relaxation phenomenon --- surface electromyography --- wearable device --- WBSN --- automatic detection of the FRP --- Internet of Things (IoT) --- human activity recognition (HAR) --- motion analysis --- wearable sensors --- cerebral palsy --- hemiplegia --- motor disorders --- gait variability --- coefficient of variation --- surface EMG --- statistical gait analysis --- activation patterns --- co-activation --- Parkinson’s disease --- activity recognition --- rate invariance --- Lie group
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Carbon materials are one of the most fascinating materials because of their unique properties and potential use in several applications. They can be obtained from residues or by using advanced synthesis technologies like chemical vapor deposition. The carbon family is very broad, ranging from classical activated carbons to more advanced species such as carbon nanotubes and graphene. The surface chemistry is one of the most interesting aspects of this broad family of materials, which allows the incorporation of different types of chemical functionalities or heteroatoms on the carbon surface, such as O, N, B, S, or P, which can modify the acid–base character, hydrophobicity/hydrophilicity, or the electronic properties of these materials and, thus, determine the final application. This book represents a collection of original research articles and communications focused on the synthesis, properties, and applications of heteroatom-doped functional carbon materials.
targeted adsorption --- graphene oxide --- bonding type --- oxygen reduction reaction (ORR) --- doping --- catalysis --- porous carbon --- Cd(II) --- nitrogen-doped graphene oxide --- sp3-defect --- heteroatoms --- amino group --- nitrogen-doped --- energy storage --- cross-link bond type --- energy power density --- polyaniline --- environmental remediation --- molten salt --- adsorption --- polyphosphates --- microcrystalline cellulose --- carbo microsphere --- Orange G --- carbon materials --- chemical functionalization --- physicochemical properties --- supercapacitor capacitance --- nanoparticles and shallow reservoirs --- pulse laser deposition --- co-activation method --- carbon capture and storage process (CCS) --- biochar --- CO2 --- adsorption studies --- graphene --- polypyrrole --- oxygen peroxide oxidation --- carbon nanotubes --- salt and base --- nanofluids --- carbon gels --- bio-phenol resin --- synergism --- magnetic moment --- photocatalysis --- oxygen reduction reaction --- carbon dioxide --- surface chemistry --- functionalized graphene oxide --- nitrogen-doped carbon materials --- N–doped carbon --- p-phenylene diamine --- electrochemical analysis --- mesoporosity --- carbon dioxide adsorption --- electrode material --- nitrogen-doped graphene --- nitrogen and oxygen doped activated carbon --- electrocatalysis --- supercapacitor
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The advances in the technology and methodology for human movement capture and analysis over the last decade have been remarkable. Besides acknowledged approaches for kinematic, dynamic, and electromyographic (EMG) analysis carried out in the laboratory, more recently developed devices, such as wearables, inertial measurement units, ambient sensors, and cameras or depth sensors, have been adopted on a wide scale. Furthermore, computational intelligence (CI) methods, such as artificial neural networks, have recently emerged as promising tools for the development and application of intelligent systems in motion analysis. Thus, the synergy of classic instrumentation and novel smart devices and techniques has created unique capabilities in the continuous monitoring of motor behaviors in different fields, such as clinics, sports, and ergonomics. However, real-time sensing, signal processing, human activity recognition, and characterization and interpretation of motion metrics and behaviors from sensor data still representing a challenging problem not only in laboratories but also at home and in the community. This book addresses open research issues related to the improvement of classic approaches and the development of novel technologies and techniques in the domain of motion analysis in all the various fields of application.
Technology: general issues --- falls --- slips --- trips --- postural perturbations --- wearables --- stretch-sensors --- ankle kinematics --- rowing --- technology --- inertial sensor --- accelerometer --- performance --- signal processing --- sEMG --- knee --- random forest --- principal component analysis --- back propagation --- estimation model --- knee angle --- deep learning --- neural networks --- gait-phase classification --- electrogoniometer --- EMG sensors --- walking --- gait-event detection --- automotive radar --- machine learning --- walking analysis --- seated posture --- cognitive engagement --- stress level --- load cells --- embedded systems --- sensorized seat --- flexion-relaxation phenomenon --- surface electromyography --- wearable device --- WBSN --- automatic detection of the FRP --- Internet of Things (IoT) --- human activity recognition (HAR) --- motion analysis --- wearable sensors --- cerebral palsy --- hemiplegia --- motor disorders --- gait variability --- coefficient of variation --- surface EMG --- statistical gait analysis --- activation patterns --- co-activation --- Parkinson’s disease --- activity recognition --- rate invariance --- Lie group
Choose an application
The advances in the technology and methodology for human movement capture and analysis over the last decade have been remarkable. Besides acknowledged approaches for kinematic, dynamic, and electromyographic (EMG) analysis carried out in the laboratory, more recently developed devices, such as wearables, inertial measurement units, ambient sensors, and cameras or depth sensors, have been adopted on a wide scale. Furthermore, computational intelligence (CI) methods, such as artificial neural networks, have recently emerged as promising tools for the development and application of intelligent systems in motion analysis. Thus, the synergy of classic instrumentation and novel smart devices and techniques has created unique capabilities in the continuous monitoring of motor behaviors in different fields, such as clinics, sports, and ergonomics. However, real-time sensing, signal processing, human activity recognition, and characterization and interpretation of motion metrics and behaviors from sensor data still representing a challenging problem not only in laboratories but also at home and in the community. This book addresses open research issues related to the improvement of classic approaches and the development of novel technologies and techniques in the domain of motion analysis in all the various fields of application.
falls --- slips --- trips --- postural perturbations --- wearables --- stretch-sensors --- ankle kinematics --- rowing --- technology --- inertial sensor --- accelerometer --- performance --- signal processing --- sEMG --- knee --- random forest --- principal component analysis --- back propagation --- estimation model --- knee angle --- deep learning --- neural networks --- gait-phase classification --- electrogoniometer --- EMG sensors --- walking --- gait-event detection --- automotive radar --- machine learning --- walking analysis --- seated posture --- cognitive engagement --- stress level --- load cells --- embedded systems --- sensorized seat --- flexion-relaxation phenomenon --- surface electromyography --- wearable device --- WBSN --- automatic detection of the FRP --- Internet of Things (IoT) --- human activity recognition (HAR) --- motion analysis --- wearable sensors --- cerebral palsy --- hemiplegia --- motor disorders --- gait variability --- coefficient of variation --- surface EMG --- statistical gait analysis --- activation patterns --- co-activation --- Parkinson’s disease --- activity recognition --- rate invariance --- Lie group
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