Sleep – A Game Changer in the Athletic World?

2018 ◽  
Vol 66 (4) ◽  
Keyword(s):  
Performance Optimization ◽  
High Performance ◽  
Recovery Process ◽  
Poor Sleep ◽  
Recovery Method ◽  
Lack Of Sleep ◽  
And Performance ◽  
The Individual ◽  
Traditional Approaches ◽  
And Control

The restorative qualities of sleep are fundamentally the basis of the individual athlete’s ability to recover and perform, and to optimally be able to challenge and control the effects of exercise regimes in high performance sport. Research consistently shows that a large percentage of the population fails to obtain the recommended 7–9 hours of sleep per night [17]. Moreover, recent years’ research has found that athletes have a high prevalence of poor sleep quality [6]. Given its implications on the recovery process, sleep affects the quality of the athlete’s training and outcome of competitions. Although an increasing number of recovery aids (such as cold baths, anti-inflammatory agents, high protein intake etc.) are available, recent years research show the important and irreplaceable role of sleep and that no recovery method can compensate for the lack of sleep. Every facet of an athlete’s life has the capacity to either create or take out energy, contribute to the overall stress level and subsequently the level of both recovery and performance. While traditional approaches to performance optimization focus simply on the physical stressors, this overview will highlight the benefits and the basic principles of sleep, its relation to recovery and performance, and provide input and reflect on what to consider when working with development and maintenance of athletic performance.

Relaxation and Recovery in Sport and Performance

2017 ◽  
Author(s):  
Maximilian Pelka ◽  
Michael Kellmann
Keyword(s):  
Cognitive Processes ◽  
Muscle Tension ◽  
Recovery Process ◽  
Relaxation Techniques ◽  
Recovery Stress ◽  
Starting Point ◽  
Recovery From Work ◽  
Stress States ◽  
And Performance ◽  
The Individual

The sport and performance environment is highly demanding for its actors. Therefore, recovery from work and sports requires special attention. Without adequate recovery, optimal performance is not attainable. It depends, however, on the individual what adequate recovery actually is. An extremely demanding event for someone may not be as demanding for someone else. Every individual perceives his or her environment differently and therefore has to choose his or her response or prevention strategy accordingly. Monitoring one’s recovery-stress states might be a promising starting point to establish individual baselines and further regulate training or work intensities. Relaxation in terms of implementing systematic relaxation techniques seems to be an adequate approach. These techniques can be divided into muscle-to-mind and mind-to-muscle techniques focusing either on the training of one’s sensitivity to muscle tension or on the cognitive processes involved in relaxation. Whether the recovery process is finally successful depends on if the chosen methods fit the purpose of recovery (i.e., response to cognitive or physical demands), the setting/circumstance (i.e., time and place), and how comfortable one feels with the specific recovery strategy.

scholarly journals MG-RAST version 4—lessons learned from a decade of low-budget ultra-high-throughput metagenome analysis

2017 ◽  
Vol 20 (4) ◽  
pp. 1151-1159 ◽  
Author(s):  
Folker Meyer ◽  
Saurabh Bagchi ◽  
Somali Chaterji ◽  
Wolfgang Gerlach ◽  
Ananth Grama ◽  
...  
Keyword(s):  
Performance Optimization ◽  
High Performance ◽  
Lessons Learned ◽  
Added Value ◽  
Data Sets ◽  
Real World Data ◽  
Metagenome Analysis ◽  
Trade Offs ◽  
And Performance ◽  
The Right

Abstract As technologies change, MG-RAST is adapting. Newly available software is being included to improve accuracy and performance. As a computational service constantly running large volume scientific workflows, MG-RAST is the right location to perform benchmarking and implement algorithmic or platform improvements, in many cases involving trade-offs between specificity, sensitivity and run-time cost. The work in [Glass EM, Dribinsky Y, Yilmaz P, et al. ISME J 2014;8:1–3] is an example; we use existing well-studied data sets as gold standards representing different environments and different technologies to evaluate any changes to the pipeline. Currently, we use well-understood data sets in MG-RAST as platform for benchmarking. The use of artificial data sets for pipeline performance optimization has not added value, as these data sets are not presenting the same challenges as real-world data sets. In addition, the MG-RAST team welcomes suggestions for improvements of the workflow. We are currently working on versions 4.02 and 4.1, both of which contain significant input from the community and our partners that will enable double barcoding, stronger inferences supported by longer-read technologies, and will increase throughput while maintaining sensitivity by using Diamond and SortMeRNA. On the technical platform side, the MG-RAST team intends to support the Common Workflow Language as a standard to specify bioinformatics workflows, both to facilitate development and efficient high-performance implementation of the community’s data analysis tasks.

scholarly journals Research on Real-Time Monitoring and Performance Optimization of Suspension System in Maglev Train

2021 ◽  
Vol 11 (24) ◽  
pp. 11952
Author(s):  
Xu Zhou ◽  
Tao Wen ◽  
Zhiqiang Long
Keyword(s):  
Real Time ◽  
Performance Optimization ◽  
High Performance ◽  
Suspension System ◽  
Control Performance ◽  
Real Time Monitoring ◽  
Maglev Train ◽  
Dynamic Compensator ◽  
And Performance ◽  
Residual Generator

With the success of the commercial operation of the maglev train, the demand for real-time monitoring and high-performance control of the maglev train suspension system is also increasing. Therefore, a framework for performance monitoring and performance optimization of the maglev train suspension system is proposed in this article. This framework consists of four parts: plant, feedback controller, residual generator, and dynamic compensator. Firstly, after the system model is established, the nominal controller is designed to ensure the stability of the system. Secondly, the observer-based residual generator is identified offline based on the input and output data without knowing the accurate model of the system, which avoids the interference of the unmodeled part. Thirdly, the control performance is monitored and evaluated in real time by analyzing the residual and executing the judgment logic. Fourthly, when the control performance of the system is degraded or not satisfactory, the dynamic compensator based on the residual is updated online iteratively to optimize the control performance. Finally, the proposed framework and theory are verified on the single suspension experimental platform and the results show the effectiveness.

scholarly journals Wearables for Biomechanical Performance Optimization and Risk Assessment in Industrial and Sports Applications

2022 ◽  
Vol 9 (1) ◽  
pp. 33
Author(s):  
Sam McDevitt ◽  
Haley Hernandez ◽  
Jamison Hicks ◽  
Russell Lowell ◽  
Hamza Bentahaikt ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Performance Optimization ◽  
Performance Enhancement ◽  
Health And Safety ◽  
Industrial Applications ◽  
Data Types ◽  
Measurement Units ◽  
Numerous Data ◽  
And Performance ◽  
The Individual

Wearable technologies are emerging as a useful tool with many different applications. While these devices are worn on the human body and can capture numerous data types, this literature review focuses specifically on wearable use for performance enhancement and risk assessment in industrial- and sports-related biomechanical applications. Wearable devices such as exoskeletons, inertial measurement units (IMUs), force sensors, and surface electromyography (EMG) were identified as key technologies that can be used to aid health and safety professionals, ergonomists, and human factors practitioners improve user performance and monitor risk. IMU-based solutions were the most used wearable types in both sectors. Industry largely used biomechanical wearables to assess tasks and risks wholistically, which sports often considered the individual components of movement and performance. Availability, cost, and adoption remain common limitation issues across both sports and industrial applications.

Organizational Design and Control Choices

2015 ◽  
Author(s):  
Christian Hofmann ◽  
Laurence van Lent
Keyword(s):  
Organizational Design ◽  
Management Accounting ◽  
Economic Models ◽  
Performance Measure ◽  
Allocation Of Decision Rights ◽  
And Performance ◽  
Other Regarding ◽  
Traditional Approaches ◽  
And Control ◽  
Other Regarding Preferences

Building on new insights from organizational economics, management accounting researchers have highlighted how incentive contracts and performance measure choices complement structural arrangements in firms. We discuss how “slow-moving” elements in organizational design, such as the allocation of decision rights to local managers and interdependencies between different parts of the production function, affect the working of incentives and performance measures. We pay attention to the empirical challenges that researchers face in this area and argues that mixed-method approaches in which economic models are combined with empirical evidence can help to build a body of evidence that is robust and admits cross-study accumulation of knowledge. Finally, we illustrate how recent economic models that incorporate other-regarding preferences can help to bridge the gap between economics-based research in management accounting and more traditional approaches that rely on the behavioral sciences.

Multipurpose Detecting System for Automotive Switch Function Based on Virtual Instrument (LabVIEW) and Embedded Technology (ARM)

2012 ◽  
Vol 490-495 ◽  
pp. 937-941
Author(s):  
Hong He ◽  
Xing Su ◽  
Pei Pei Yang ◽  
Jian Wen Li ◽  
Shao Hua Shi
Keyword(s):  
Control System ◽  
Real Time ◽  
Virtual Instrument ◽  
High Performance ◽  
Detection System ◽  
Material Resources ◽  
Instrument Technology ◽  
Ethernet Controller ◽  
And Performance ◽  
And Control

Contrary to the problem that automobile switches have various kinds and large differences in the structure and performance so that traditional testing methods have been unable to meet the testing requirements of high performance switches, the paper designs a new detection system used to detect the functions of general auto switches which applies the developing environment LabVIEW based on virtual instrument technology and adopts the technology of embedded observe and control system. Using PC as the host computer, the system adopts the LabVIEW8.5 to compile a real-time monitoring system with good human-computer interface; S3C2440-ARM9 processor is used as the main controller of observe and control system in the inferior computer which collects output current signal when the circuit is conducted after switch is pressed. After the coding process of LwIP software protocol and the drive of Ethernet controller DM9000, the signal is transmitted to PC through Ethernet interface. Compared with conventional testing measures, this system greatly improves the real-time performance as well as working efficiency of detecting switch functions and reduces the corresponding human and material resources.

scholarly journals Introducing Sleep Hygiene to the Church of Sidang Jemaat Allah Bethlehem Congregation, Bogor, West Java

2021 ◽  
Vol 5 (1) ◽  
pp. 61-70
Author(s):  
Alya Dwiana ◽  
Triyana Sari ◽  
David Limanan
Keyword(s):  
Sleep Quality ◽  
Cognitive Abilities ◽  
Healthy Lifestyle ◽  
Sleep Hygiene ◽  
Sleep Time ◽  
The Body ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Lack Of Sleep ◽  
The Individual

Insomnia is one of the most common health problems. Approximately one-third of adults show symptoms related to insomnia. Around 9%-15% of people have sleeping disorders dan suffer the consequences of it in the daytime, and roughly 6% suffer from diagnosed insomnia. Although the prevalence and significant effects of insomnia have been known, sleep disorders are still rarely diagnosed and receive proper treatments. Lack of sleep will create sleep debt that the body will have to compensate for by adding more sleep time in the next day. Should this compensation fail to be fulfilled, the individual will suffer from excessive sleepiness, memory problems, difficulty concentrating, and disturbances in performing daily activities. Chronic lack of sleep can also decrease memory and cognitive abilities, trigger mood disorders and even cause hallucination. The Sidang Jemaat Allah Bethlehem church (GSJA) is one of the biggest churches in Bogor. The people of GSJA’s knowledge of healthy sleep patterns and their sleep quality was unknown. Therefore, it was necessary to provide sleep health education to raise the awareness of the importance of healthy sleep patterns, both the quantity and the quality, in practicing a healthy lifestyle. We also assessed their sleep quality using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. The data show that out of 41 participants, 30 of them (73.11%) have poor sleep quality (score ≥ 5) and most of them were in the 71-80-year-old age group. The participants' level of understanding about sleep hygiene has increased after the event.

scholarly journals Unified Graph Theory-Based Modeling and Control Methodology of Lattice Converters

Electronics ◽  
2021 ◽  
Vol 10 (17) ◽  
pp. 2146
Author(s):  
Jingyang Fang
Keyword(s):  
Graph Theory ◽  
Performance Optimization ◽  
Modeling And Control ◽  
Unified Modeling ◽  
Large Current ◽  
Dynamic Voltage ◽  
Converter Topologies ◽  
And Performance ◽  
And Control ◽  
Control Methodology

Lattice converters combine the merits of both cascaded-bridge converters and multi-paralleled converters, leading to infinitely large current and voltage capabilities with modularity and scalability as well as small passive components. However, lattice converters suffer from complexity, which poses a serious threat to their widespread adoption. By use of graph theory, this article proposes a unified modeling and control methodology for various lattice converters, resulting in the satisfaction of their key control objectives, including selected inputs/outputs, desired voltages, current sharing, dynamic voltage balancing, and performance optimization. In addition, this article proposes a plurality of novel lattice converter topologies, which complement state-of-the-art options. Simulation and experimental results verify the effectiveness and superiority of the proposed methodology and lattice converters.

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