Correction: The structure of performance and training in esports.
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ABSTRACT:
SUBMITTER: PLOS ONE Staff
PROVIDER: S-EPMC8043387 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Esports as the competitive play of digital games has gained considerable popularity. However, a comprehensive framework for esport training is still missing. In this paper, a performance model integrating insights from game research and sport science is developed. Based on this model, an online questionnaire was designed and applied to investigate training in different esports regarding relevant competencies and training areas. Overall, 1,835 esports players voluntarily participated in the study. Age ranged from 13 to 47 years (M = 20,9; SD = 4,5), and males clearly dominated (95%). Furthermore, the mean weakly playing time was 20.03 hours (SD = 15.8). Training occupied 38.85% (7.75 h) of the playing time on average. On the one hand, the results reveal game-specific competence and training structures in the five esports selected for the study (Starcraft II, League of Legends, Rocket League, FIFA, and Counter Strike). On the other hand, the factor structure of competencies closely resembles the esports performance model. As a conclusion, esports training methods should always consider the specific competence profile of the respective esports game.
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Project description:The phenomenon of eSports is omnipresent today. International championships and their competitive athletes thrill millions of spectators who watch as eSports athletes and their teams try to improve and outperform each other. In order to achieve the necessary cognitive and physical top form and to counteract general health problems caused by several hours of training in front of the PC or console, eSports athletes need optimal cognitive, physical and mental training. However, a gap exists in eSports specific health management, including prevention of health issues and training of these functions. To contribute to this topic, we present in this mini review possible avenues for holistic training approaches for cognitively, physically and mentally fitter and more powerful eSports athletes based on interdisciplinary findings. We discuss exergames as a motivating and promising complementary training approach for eSports athletes, which simultaneously combines physical and cognitive stimulation and challenges in an attractive gaming environment. Furthermore, we propose exergames as innovative full-body eSports-tournament revolution. To conclude, exergames bring new approaches to (physical) eSports, which in turn raise new topics in the growing eSports research and development community.
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Project description:AimsThis study aims to explore community perspectives on enhancer usage in competitive gaming and esports, focusing on the perception of fairness and concerns about various potential performance enhancers.MethodsWe conducted both qualitative and quantitative surveys to understand the competitive gaming community's opinions on different types of performance enhancers and their potential impact on esports. A thematic analysis was performed to identify key themes in how players rationalize their opinions.ConclusionsThe gaming community differentiates between potential performance enhancers based on how problematic they are for the esports scene, with the most concern surrounding hard drugs, pharmaceuticals, and brain stimulation interventions. Participants who are more invested in competitive gaming tend to be more sceptical of enhancers and express greater concerns. Four themes were identified in the thematic analysis: (1) risk, (2) morality, (3) enhancer effects, and (4) regulation. To increase acceptance and perceived legitimacy in decision-making, it is recommended that regulators engage a variety of stakeholders in transparent decision-making processes when forming tournament rules and regulations. This will help address the fragmented regulatory landscape and prevent potential differences in the perception of tournament winners based on the governing body supervising the competition.
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Project description:The three-dimensional structures of proteins are crucial for understanding their molecular mechanisms and interactions. Machine learning algorithms that are able to learn accurate representations of protein structures are therefore poised to play a key role in protein engineering and drug development. The accuracy of such models in deployment is directly influenced by training data quality. The use of different experimental methods for protein structure determination may introduce bias into the training data. In this work, we evaluate the magnitude of this effect across three distinct tasks: estimation of model accuracy, protein sequence design, and catalytic residue prediction. Most protein structures are derived from X-ray crystallography, nuclear magnetic resonance (NMR), or cryo-electron microscopy (cryo-EM); we trained each model on datasets consisting of either all three structure types or of only X-ray data. We Find that across these tasks, models consistently perform worse on test sets derived from NMR and cryo-EM than they do on test sets of structures derived from X-ray crystallography, but that the difference can be mitigated when NMR and cryo-EM structures are included in the training set. Importantly, we show that including all three types of structures in the training set does not degrade test performance on X-ray structures, and in some cases even increases it. Finally, we examine the relationship between model performance and the biophysical properties of each method, and recommend that the biochemistry of the task of interest should be considered when composing training sets.
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Project description:This cross-sectional study investigated the association between participation in traditional sports and esports performance, analyzing data from 1,549 survey respondents, with a specific focus on 617 individuals assessed for their esports capabilities. The analysis suggests that participation in traditional sports is associated with enhanced performance in first-person shooters. However, no similar association was observed in multiplayer online battle arena games across various platforms. Furthermore, although no substantial link was found between overall gameplay duration and esports performance for the majority of the games examined, time spent playing Honor of Kings was significantly associated with improved in-game rankings, likely due to its unique matchmaking and rating system. The findings also indicate that participants from different categories of traditional sports show no significant differences in esports performance, suggesting similar physical and athletic requirements across these sports. This underscores the necessity for further exploration and methodological refinement to investigate the associations between specific types of physical exercise and enhancements in esports performance. Additionally, esports participants demonstrated higher levels of engagement in traditional sports compared to their non-esports counterparts, suggesting potential reciprocal benefits between esports and physical exercise. Future research should further investigate these mutual advantages. Conducting additional rigorous empirical research to substantiate these associations is essential for the sustainable development of esports.
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Project description:Introduction: People with Spinal Cord Injury (SCI) are at risk of feeling socially disconnected. Competitive esports present an opportunity for people with SCI to remotely engage in a community. The aim of this study is to discuss barriers to esports participation for people with SCI, present adaptive solutions to these problems, and analyze self-reported changes in social connection. Materials and Methods: We presented a descriptive data collected in the process of a quality improvement initiative at Mount Sinai Hospital. In 2019, seven individuals with cervical SCI and quadriplegia participated in a special interest group on esports. Group scores were then analyzed for evidence of between subjects variability using a single sample t-test. A Pearson's correlation was conducted to determine the relationship between social connectedness and demographic data. Results: All players experienced functional limitations as a result of their injury but managed to design personalized gaming setups with adaptive equipment that allowed them to successfully compete in esports. All players reported a positive change in perceived social connectedness (p < 0.001) after participating in the special interest group. Score on Social Connectedness Scale negatively correlated with Time since injury (years). Discussion: It is feasible to create adaptive gaming setups that can be used by people with differing degrees and severity of SCI in a competitive esports environment. Technology and adaptive competitive esports have a potential to improve social connectedness and inclusion in people with quadriplegia. Further research on efficacy and effectiveness of these inclusive environments and their effects on quality of life, activity, and participation is warranted.
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Project description:The number of video game and eSports players is steadily rising. Since little is known about their health behavior to date, the present study examines the demographics and health behavior of video game and eSports players. In this cross-sectional study, data on demographics, health status, physical activity, nutrition, sleep, and video game usage were assessed via a web-based survey of n = 1066 players (91.9% male; 22.9 ± 5.9 years; body mass index (BMI): 24.6 ± 4.8 kg/m²) in Germany in 2018. The majority of respondents (95%) reported a good to excellent health status. Two thirds (66.9%) engaged in moderate to vigorous physical activity for more than 2.5 h/week. The average duration of sitting and sleep time was 7.7 ± 3.6 h/day and 7.1 ± 1.3 h/day, respectively. Mean fruit and vegetable consumption was 2.7 ± 1.8 portions/day. Video games were played for 24.4 ± 15.9 h/week on average. Partial Spearman correlations revealed poor positive associations of video game play time to sedentary behavior (rho = 0.15; p < 0.01) and BMI (rho = 0.11; p < 0.01), as well as a poor negative association to self-reported health status (rho = -0.14; p < 0.01). These results indicate the good subjective health of this target group. Nevertheless, the high amount of video game play time and its poor negative association to health status indicate a need for specific health promotion strategies for this target group.
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Project description:Atlantic salmon juveniles were screened for swimming performance and separated into either poor or good swimmers. After ten weeks of rearing in fresh water, during which both swimming performance groups were part of an exercise training experiment, fish were transferred to seawater and challenged with infectious pancreatic necrosis virus (IPNV) in a co-habitation test. When mortality curve levelled out (45 days post commencement of challenge test), fish that had previously been categorized as good swimmers displayed a significantly higher survival (86.1%) compared to poor swimmers (77.6%). Global gene expression analyses were performed to search for disease resistance correlates. Cardiac ventricle expression of 21 genes was greater in poor swimmers than in good swimmers. These genes were previously classified as virus-responsive genes (VRGs), being reliable markers of viral load. This suggested that inherent swimming performance is associated with higher disease resistance. Atlantic salmon post-smolts belonging to groups previously classified as either poor or good swimmers were challenged with infectious pancreatic necrosis virus (IPNV). Heart ventricle was sampled from challenged and unchallenged fish on day 45 post-commencement of the challenge (when no more mortalities were registered). Nine poor swimmers and nine good swimmers were hybridized against a common reference sample composed of nine unchallenged fish.
2012-06-08 | E-GEOD-38603 | biostudies-arrayexpress
Project description:This study evaluated a brief sleep intervention designed to improve the sleep, mood, and cognitive performance of professional electronic sports (esports) athletes from three major esports regions (i.e., Asia, North America, and Oceania). Fifty-six esports athletes from South Korea (N = 34), the United States (N = 7), and Australia (N = 15) completed the study. Participants completed an initial 2-week pre-intervention phase to establish a baseline, followed by a 2-week intervention phase that involved a group sleep education class, 1:1 session with a trained clinical psychologist, and daily biofeedback. A wrist activity monitor and daily sleep diary were used to monitor sleep during both phases, while at pre- and post-intervention, participants completed a battery of sleep and mood questionnaires and underwent cognitive performance testing. Sleep knowledge increased from pre- to post-intervention (d = 0.83 [95% CI -1.21, -0.43], p =< 0.001), while there were modest improvements in sleep diary estimates (i.e., sleep onset latency (Mdiff = -2.9 min, p = 0.02), sleep onset time (Mdiff = -12 min, p = 0.03), and sleep efficiency (Mdiff = 1.1%, p = 0.004)) and wrist activity monitor estimates (i.e., sleep onset time (Mdiff = -18 min, p = 0.01)). Insomnia severity scores decreased significantly (d = 0.47 [95% CI 0.08, 0.84], p = 0.001), while sleepiness scores increased but not meaningfully (d = 0.23 [95% CI -0.61, 0.14], p = 0.025). However, there was no significant change in mood (i.e., depression and anxiety) or cognitive performance scores (i.e., mean reaction time or lapses). Sleep interventions for esports athletes require further investigation. Future research should examine whether a stepped-care model, whereby increasing therapeutic input is provided as needed, can optimize sleep, mood, and cognitive performance outcomes.
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Project description:Atlantic salmon juveniles were screened for swimming performance and separated into either poor or good swimmers. After ten weeks of rearing in fresh water, during which both swimming performance groups were part of an exercise training experiment, fish were transferred to seawater and challenged with infectious pancreatic necrosis virus (IPNV) in a co-habitation test. When mortality curve levelled out (45 days post commencement of challenge test), fish that had previously been categorized as good swimmers displayed a significantly higher survival (86.1%) compared to poor swimmers (77.6%). Global gene expression analyses were performed to search for disease resistance correlates. Cardiac ventricle expression of 21 genes was greater in poor swimmers than in good swimmers. These genes were previously classified as virus-responsive genes (VRGs), being reliable markers of viral load. This suggested that inherent swimming performance is associated with higher disease resistance.
2012-06-09 | GSE38603 | GEO