Game Time Research Articles

INFLUENCE OF COMPUTER GAMING TECHNOLOGIES ON UNIVERSITY STUDENTS’ ACADEMIC PERFORMANCE

The article examines the relationship between self-assessment of time spent on computer gaming technologies and academic performance of university students.
 The novelty of the obtained results is the negative impact of the time spent on computer games on the academic performance of students. The most informative predictor of academic underachievement and the occurrence of academic debt among students is the measure of gaming time per week, i.e. engagement in gaming for more than 10 hours per week is reduced effectiveness in academic activities.
 The goal is to identify the relationship between engagement in computer gaming technologies and students’ academic performance. The sample consists of 389 students (average age of 19 years) studying in their first and second years at the university.
 The hypothesis is that the degree of involvement in computer gaming technologies affects students’ academic performance.
 Research methods: To determine the specifics of gaming engagement and preferences in computer gaming technologies (CGT), we created a questionnaire with questions about gaming activity and CGT preferences. Indices of average performance and academic debt were obtained from the university’s dean’s office databases.
 Statistical analysis of the data involved the use of correlation and regression analysis.
 According to the survey results, 75% of the students in the entire sample play computer games. Regression analysis results revealed that longer gaming time (per day, week, year) corresponds to a decrease in academic performance and an increase in student debt. The most informative predictor of students’ performance is the measure of self-assessed gaming time per week, and the most stable relationship between these measures is observed when the gaming time exceeds 10 hours per week.
 Conclusion: The hypothesis that the degree of involvement in computer gaming technologies affects students’ academic performance has been confirmed.
 The results of the conducted research can be used for psychological and pedagogical work with students, to inform about the impact of excessive engagement in CGT on academic performance and to prevent the initial signs of computer addiction.

Influence of a COVID-19 induced reduction in game time on the match activity profiles of elite Australian Rules Football players

Assess the influence of a 20% reduction in game time on the volume and intensity of elite AF players’ match activity profiles. GPS technology was used to analyse the movement demands of 45 AF players from the same AFL club during 43 matches across the 2019 and 2020 seasons. GPS data were categorised into measures of volume (total match time [TMT] and total distance [TD]) and intensity (metres per minute [m.min-1], high-intensity running [HIR] distance and m.min-1 [>17 km·h-1], and very-high intensity running [VHIR] distance and m.min-1 [>23 km·h-1]). Volume decreased in 2020 with reductions in TMT (effect size [ES] ± 95% confidence interval [CI] = -1.8 ± 0.2; p < .001) and TD (ES = -1.8 ± 0.2; p < .001) overall, across all positional groups, and quarters. Intensity increased, evidenced by increases in HIR m.min-1 (ES = 0.3 ± 0.1; p < .001), and VHIR m.min-1 (ES = 0.3 ± 0.2; p = .006). HIR m.min-1 increased for midfielders (ES = 0.6 ± 0.3; p = .017). Defenders exhibited increases in HIR m.min-1 (ES = 0.2 ± 0.2; p = .007), and VHIR m.min-1 (ES = 0.4 ± 0.2; p = .010). Intensity of third quarters decreased at a greater rate in 2020 with reductions in m.min-1 (ES = -0.2 ± 0.1; p = .004) and HIR m.min-1 (ES = -0.2 ± 0.1; p = .037) compared to Q1. Systematic reductions in volume were found overall, across positional groups, and quarters. Average movement speed remained relatively stable overall, across quarters and positional groups. Increases in intensity were defined predominately by increases at high and very-high intensity speeds per minute, with defenders exhibiting the greatest increase in intensity and change to their match activity profiles. Longer quarter and three-quarter time breaks, and time between goals preserved intensity.

The Prevalence of Video Game Addiction and Its Relation to Anxiety, Depression, and Attention Deficit Hyperactivity Disorder (ADHD) in Children and Adolescents in Saudi Arabia: A Cross-Sectional Study.

Background and objective Video games have become a popular source of entertainment among children and adolescents, not only targeting the young generation but also increasingly popular among older demographics as well. This study aimed to assess the association between video game addiction and depression, anxiety, and attention deficit hyperactivitydisorder (ADHD) among children and adolescents in Saudi Arabia. Materials and methods This was a cross-sectional studyinvolving Saudi adolescents aged 12-16 years. A self-administered online survey was distributed on social media (Twitter, WhatsApp, and Snapchat). The surveyaddressed sociodemographic characteristics (i.e., age, gender, area of residence city, etc.). Arabic versions of the Patient Health Questionnaire-9 (PHQ-9), the seven-item Generalized Anxiety Disorder Scale (PHQ-GAD7), the ADHD Rating Scale-IV (ADHD-RS), and the seven-item GameAddiction Scale(GAS-7) questionnaires were distributed as well, including Arabic terms for depression, anxiety, and ADHD. Results A total of 393 surveys were completed (males: 58.3% vs. females: 41.7%). Of note, 63.1% of the respondents reported playing video games every day with an average of more than five hours of gaming time per day (25.2%). The prevalence of video game addiction was 62.1%. Independent risk factors of video game addiction included being young in age, playing video games every day, playing more than three hours per day, and playing multiplayer games. Furthermore, our findings suggestthat a higher video game addiction score is correlated with higher scores in inattention, anxiety, and depression. Conclusion This study found a high prevalence of video game addiction amongSaudi children and adolescents. Excessivevideo game playing negatively influences mental health and leads to issues including anxiety, depression, and ADHD. Also, younger males with an increased rate of regular playtime were more likely to exhibit video game addiction in comparison to the rest of the population. Further research is required to more comprehensively assess the prevalence rate of video game addiction and its effect on the mental health of the younger generation within the region.

Game on: A cross-sectional study on gamers’ mental health, Game patterns, physical activity, eating and sleeping habits

Introduction and purposeProblematic gaming patterns have been associated with mental disorders and an unhealthy lifestyle pattern characterized by poor physical activity, nutritional habits, and sleep patterns. Thus, our objective was to characterize highly engaged Portuguese gamers by assessing the prevalence of these health issues and patterns, including Internet Gaming Disorder. MethodsA sample of 235 gamers (83.3% male) recruited online (through mailing list and social media) participated in online questionnaires to assess sociodemographic and health information, gaming and nutritional habits, physical activity patterns, sleep hygiene, and mental health. ResultsThe highly engaged gamers showed a mean playing time of 3.5 h/day (SD = 2.1) and 5.5 h/day (SD = 3.0) in other screen-related activities. Most of the players reported not consuming snacks while gaming. Physical activity practice was observed in 63.8% of the players. Most of the participants (66.3%) reported poor sleep quality and a “moderately and definitely evening” chronotype (60.4%). Gamers showed low scores of IGD, with only three reported cases, and half of the gamers reporting good psychological well-being. The mean of BSI scores was 1.6 (SD = 0.6), close to the cut-off point of 1.7. ConclusionsPoor sleep quality was observed in Portuguese gamers. Despite this, gamers seem to display a healthy lifestyle consisting of regular physical activity, a healthy diet during gaming time, and an unproblematic gaming behavior, as well as an emotionally healthy profile and state of well-being. Future studies should conduct a more thorough analysis of these variables and further explore possible correlations.

Game-Based Consensus of Hybrid Multiagent Systems.

This article considers consensus of first-order/second-order hybrid multiagent systems (MASs) based on game modeling. In the first-order hybrid MAS (HMAS), a subset of agents select the Nash equilibrium of a multiplayer game as their states at each game time and the others update their states with first-order continuous-time (C-T) dynamics. By graph theory and matrix theory, we establish sufficient and necessary conditions for consensus of the first-order HMAS with two proposed protocols. The second-order HMAS is composed of agents whose states are determined by the Nash equilibrium of a multiplayer game and agents whose states are governed by second-order C-T dynamics. Similarly, sufficient and necessary conditions are given for consensus of the second-order HMAS with two proposed protocols. Several numerical simulations are provided to verify the effectiveness of our theoretical results.

Association of Injury Rates Among Players in the National Football League With Playoff Qualification, Travel Distance, Game Timing, and the Addition of Another Game: Data From the 2017 to 2022 Seasons.

Injury incidence is higher in the National Football League (NFL) than in other collision sports. Although previous research has identified that scheduling variations, including overseas games and bye week timing, does not affect concussion risk, data are currently lacking regarding the effects of scheduling variation on season-long musculoskeletal injury incidence. To determine whether higher cumulative travel distance, overseas play, an early season bye week, and an expansion of the regular season is associated with higher injury rates in the NFL. Descriptive epidemiology study. All 1275 injuries across 5 NFL seasons from 2017 to 2018 through 2021 to 2022 were reviewed retrospectively. Injury data and travel distances were extracted from publicly available sources, which were cross-referenced for validation. Injury rates were calculated per 1000 athletic-exposures (AEs). Cumulative team travel distances were compared statistically using a linear regression. Single factor analysis of variance was used to compare categorical variables. Travel distance did not significantly predict injury rates (P = .47), and there was no difference in injury rates between teams that played a game overseas versus teams that did not (19.3 injuries per 1000 AEs for both; P = .96). In addition, no difference was found in injury rates (F[109,2100[ = 0.704; P = .73) or players placed on the injured reserve list (F[99,778] = 1.70; P = .077) between various bye weeks (P = .73). Injury rates did not differ between the new 17-game regular season (18.4 per 1000 AEs) versus the previous four 16-game regular seasons (19.7 per 1000 AEs; P = .12). However, teams that did not qualify for the playoffs had a significantly higher injury rate (19.9 per 1000 AEs) as well as players on injured reserve (8.0 per 1000 AEs) than playoff-qualifying teams (18.4 and 6.8 per 1000 AEs, respectively; P < .05 for both). Over 5 NFL seasons, cumulative travel distance, overseas play, bye week timing, and adding 1 regular season game were not associated with increased injury rates in NFL players. However, a lack of regular season success was associated with higher injury rates and more players on injured reserve.

It’s Signaling Game Time! Investigating Search Fund Successions in the Context of Family Firms

It’s Signaling Game Time! Investigating Search Fund Successions in the Context of Family Firms

Effectiveness of an integrated motivational cognitive-behavioral group intervention for adolescents with gaming disorder: a randomized controlled trial.

The aim of this study was to test the efficacy of the integrated cognitive-behavioral therapy with a strength-based motivational approach [integrated cognitive-behavioral therapy (ICBT)] intervention to change gaming disorder (GD) symptoms and other outcomes and to study the therapeutic mechanism. A two-arm parallel randomized waiting-list controlled trial with 3- and 6-month follow-ups were conducted in a secondary vocational school in mainland China. Participants comprised 77 Chinese adolescents with GD symptoms with a mean age of 16.36 years [standard deviation (SD) = 0.93]; 88.3% were male INTERVENTIONS: Participants were randomized into an ICBT group (n = 38) and a waiting-list control (WLC, n = 39) group. ICBT intervention comprised eight weekly sessions to encourage participants to identify their interests and strengths and set goals for developing personally meaningful real-life activities. The outcomes were measured at pre-treatment (t0 ), post-treatment (t1 ), 3-month (t2 ) and 6-month (t3 ) follow-ups. The primary outcome was GD symptoms at t3. Secondary outcomes included GD symptoms at t1 and t2 , and gaming motivation, maladaptive gaming cognition, depression and anxiety symptoms at t1 , t2 and t3 . With the intention-to-treat principle, the GD scores at t3 were significantly different between the CBT and WLC groups [mean difference 62.08 (SD = 10.48) versus 73.64 (SD = 11.70); Hedges' g = 1.15, 95% confidence interval = 0.67-1.62]. Linear mixed-effects modeling showed significant group × time interaction for the secondary outcomes (P < 0.01), with a moderate to strong between-group effect size in the reduction in depression symptoms (g = 0.67-0.84) and anxiety symptoms (g = 0.6-0.64). Path analysis shows ICBT leads to GD reduction through reducing gaming motivation and maladaptive gaming cognition. An integrated cognitive-behavioral therapy with strength-based motivational approach intervention reduced gaming disorder symptoms and time spent gaming over a 6-month period by decreasing maladaptive gaming motivation and cognition.

Passive and social screen time in children with autism and in association with obesity.

Screen time has been identified as a risk factor for childhood obesity, but the media landscape has evolved rapidly. Children with autism tend to be heavy users of screens and have an elevated prevalence of obesity. We know little about screen use patterns among children with autism vs. typically developing (TD) peers and in association with obesity. Baseline data from 10,842 participants in the Adolescent Brain Cognition Development Study was used to characterize time spent with child-reported passive screen use (television/movies/watching videos), playing video games, and using social media. Duration of screen time by autism status and gender was summarized as mean time per day; obesity was defined using CDC/WHO criteria. A propensity score analysis was used to create a matched dataset for analysis. Overall, 1.7% of children were was identified as having autism. Significant mean differences were observed by autism status and gender for both passive viewing and playing video games. Compared to TD children, boys with autism spent more time (2.9 vs. 2.3 h, p < 0.001) watching TV, movies or videos, as did girls (3.0 vs. 2.0 h, p = 0.002). Compared to TD peers, boys with autism reported more video game time (102.7 vs. 77.5 min, p = 0.001), as did girls with autism (64.4 vs. 37.9 min, p = 0.03); girls with autism also spent more time on social media sites or video chat (45.5 vs. 21.9 min, p = 0.04). Overall, obesity prevalence increased with increasing screen time duration, significantly for passive screen time (p-value = 0.002) and texting (p-value = 0.02). Associations between obesity and screen time duration did not differ by autism status. Children with autism spend more time playing video games and on passive and social screen activities than their TD peers, with some variations by gender. High rates of social media use among girls with autism and multiplayer video game use among both boys and girls with autism may challenge the notion that the high levels of screen time reflect social isolation in the group. Given potential positive aspects of screen time in children with autism movement to focus on content and context is appropriate.

Fusion model with attention mechanism for carbon-neutral sports competitions

IntroductionIn sports competitions, using energy-saving and emission-reduction measures is an important means to achieve the carbon neutrality goal.MethodsIn this paper, we propose an attention mechanism-based convolutional neural network (CNN) combined with the gated recurrent unit (GRU) for carbon neutral energy saving and emission reduction prediction model in sports competitions, CNN is a feedforward neural network whose input is a two-dimensional matrix. The main feature of CNN is that it can handle multi-channel input data, and the use of GRU can make the model structure simple and largely reduce The use of GRU can make the model structure simple, which largely reduces the hardware computational power and time cost and also better solves the long dependency problem in RNN networks. CNN-GRU extracts the data for features and then optimized by the attention mechanism.ResultsThe model collects real-time carbon emissions data from sports events, including game times, lighting usage, air conditioning emissions and other carbon emissions data, and uses deep learning algorithms to predict and compare carbon emissions from sports competition.DiscussionIn identifying energy saving and emission reduction measures conducive to the realization of the goal of carbon neutral sports events, the model has a certain reference value for realizing energy saving and emission reduction in sports competitions under carbon neutrality goals.

Who are the gamers? Profiling adult gamers using machine learning approaches

In our paper, we used factor analysis and artificial intelligence-based modeling to reveal how video gamers living in an economically peripheric European Union member state can be segmented based on gaming time. We performed a causal analysis of two groups—occasional and frequent players—based on the data of a 2022 representative survey. The results show that in a semi-peripheral country, the adult population plays video games in a similar proportion as in the central countries (every second person), but at the same time, a high degree of polarization can be demonstrated in the time spent gaming. Based on our results, players can be predicted with high reliability based on player preferences, that is, game types, motivations, and shopping habits. However, it is worth supplementing these categories with players' socio-demographic characteristics. Our research contributes to a deeper understanding of the factors and causal relationships that determine video gamers in semi-peripheral countries; moreover, it sheds light on the distinguishing variables that function as group builders.

Longitudinal modifiable risk and protective factors of internet gaming disorder: A systematic review and meta-analysis

The study aims to thoroughly understand the causal and precedent modifiable risk or protective factors for Internet Gaming Disorder (IGD), a newly defined and prevalent mental disorder. We performed a systematic review on quality-designed longitudinal studies based on five online databases: MEDLINE, PsycINFO, Embase, PubMed, and Web of Science. Studies were included in the meta-analysis if they addressed IGD, adopted longitudinal, prospective, or cohort study designs, presented modifiable factors of IGD, and reported the effect sizes for correlations. Pooled Pearson's correlations were calculated using the random effects model. Thirty-nine studies with 37,042 subjects were included. We identified 34 modifiable factors, including 23 intrapersonal factors (e.g., gaming time, loneliness, etc.), 10 interpersonal factors (e.g., peer relationship, social support, etc.), and 1 environmental factor (i.e., school engagement). Age, the male ratio, study region, and study years were significant moderators. Intrapersonal factors were stronger predictors than interpersonal and environmental factors. It may imply that individual-based theories are more powerful to explain the development of IGD. Longitudinal research on the environmental factors of IGD was lacking; more studies are warranted. The identified modifiable factors would help to guide effective interventions for IGD reduction and prevention.

Problematic Gaming in Malaysian University Students: Translation and Psychometric Evaluation of the Malay Language Versions of Gaming Disorder Test and Gaming Disorder Scale for Young Adults.

As research on gaming disorder (GD) is growing globally, the need for a valid and reliable instrument to assess GD has become crucial. Therefore, the present cross-sectional study translated and evaluated the psychometric properties of Gaming Disorder Test (GDT) and Gaming Disorder Scale for Young Adults (GADIS-YA) into Malay language versions. The sample comprised 624 university students (females = 75.6%; mean age = 22.27 years) recruited via an online survey from May to August 2022, using a convenience sampling method. Participants completed both GDT and GADIS-YA scales and other relevant measures including Bergen Social Media Addiction Scale (BSMAS), Internet Gaming Disorder Scale-Short Form (IGDS9-SF), and time spent on social media and gaming. Results showed that both instruments reported satisfactory internal consistency, and confirmatory factor analysis supported the one-factor structure for GDT and two-factor structure for GADIS-YA. Both scales were strongly correlated with each other and with the IGDS9-SF, BSMAS, and time spent on social media and gaming, supporting concurrent validity. Measurement invariance of both scales was confirmed across gender and gaming time. These findings suggest that the Malay versions of GDT and GADIS-YA are reliable and valid measures of problematic gaming among Malaysian university students.

Drinking before sporting events in Australia: An ecological momentary assessment study

Background This study investigates the individual and event-level correlates of drinking prior to attending Australian Football League (AFL) games among a sample of Australian spectators. Materials and Methods A total of 30 adults (20% female, mean age = 32) completed a series of questionnaires (n = 417) before, during, and after an AFL match on a Friday, Saturday, or Sunday. Cluster-adjusted regression analyses were conducted to examine the impact of individual-level (age, gender, drinking habits) and event-level factors (time and day of game, location of viewing the game, viewing with friends or family) on drinking prevalence and the number of drinks consumed prior to the game. Results 41.4% of participants engaged in drinking before attending an AFL match with a mean of 2.3 drinks consumed by those who reported pre-game consumption. Those aged 30 and over were significantly more likely to engage in pre-game consumption (OR = 14.44, p = 0.024) and consumed significantly more pre-game (B = 1.39, p = 0.030). Drinking before the game was significantly more likely before night games than daytime games (OR = 5.24, p = 0.039). Those who watched the game on-premise consumed significantly more before the game than those who watched the game at a private residence or at home (B = 1.06, p = 0.030). Those who watched games with family also drank significantly less prior to the game than those who attended without family (B=-1.35, p = 0.010). Conclusion Addressing the contextual factors associated with drinking before the sporting events, such as the time of the game, may assist with efforts to reduce risky alcohol consumption and related harm.

Game Player Types and its Influence on Game Dependency

This study investigates the relationship between video game dependency and player type typology. As video gaming grows to become an integral part of the lives of many youths, concerns about the consequences of excessive gaming have arisen too. These concerns appear to be grounded as video games have been reported to damage family, school, social and psychological functioning – collectively describing the effects of game dependency (akin to pathological gaming measures). Moreover, over the years, various gamer typologies have been developed to provide insights into the different behaviours and motivations of gamers. While these typologies were initially developed for game designers to create more appealing games, their applicability has since extended beyond. This study adopts such gamer typologies and establishes a framework of player types (Achiever, Guru, Socializers, Explorers) and investigates its influence on game dependency. Through literature review, this study hypothesised that (H1) Achievers will be positively associated with Game Dependency, and (H2) Socializers and Explorers will be negatively associated with Game Dependency. Secondary school students, aged 13-17, were invited through schools to participate in an online survey. Data was collected with the permission of the respective schools to be used for research purposes. A total of students (n=999) was included in the sample, gathered from three secondary schools in Singapore. Game Dependency measure satisfied the reliability criteria with a Cronbach alpha of 0.94. Correlational analysis and comparison of means were performed on the data collected. Our findings showed statistically significant support for H1 and H2. This study explains that the Socializer player type, who are more people- than game-centric, are more likely to follow their social contacts in a game and expand their social network and resources. And as such, they are more likely to play with their friends and would hence have a lower game dependency. On the other hand, the Explorer player type may spend less time in games due to the limited exploratory possibilities present; they may choose to exhibit these tendencies by viewing videos or talking to other players. These constitute activities outside video gaming that are not captured in the current tool used to capture game dependency. The Explorer player type also does not enjoy challenges within the game and may thus stop playing once games get difficult. Therefore, the Explorer player type requires the least measure of commitment (i.e., time, effort, money), which in turn causes an opposite influence on their game dependence. While the measures used are theoretically derived and consistent with other studies, this study went a step further by quantitatively showing its association between the two variables and discriminating between game dependency groups. This study provides a nuanced understanding of the Uses and Gratifications Theory, demonstrating how different gamer types (akin to gratifications) play the game (akin to game dependency). While nascent, this venture has proven useful for identifying problematic ingame tendencies, thus informing the rehabilitative work among pathological video gamers, which the authors seek to undertake.

Sex differences in atypical fronto-subcortical structural connectivity among children with attention-deficit/hyperactivity disorder: Associations with delay discounting

PurposeAtypical fronto-subcortical neural circuitry has been implicated in the pathophysiology of attention-deficit/hyperactivity disorder (ADHD), including connections between prefrontal cortical regions involved in top-down cognitive control and subcortical limbic structures (striatum and amygdala) involved in bottom-up reward and emotional processing. The integrity of fronto-subcortical connections may also relate to interindividual variability in delay discounting, or a preference for smaller, immediate over larger, delayed rewards, which is associated with ADHD, with recent evidence of ADHD-related sex differences. MethodsWe applied diffusion tensor imaging to compare the integrity of the white matter connections within fronto-subcortical tracts among 187 8–12 year-old children either with ADHD ((n = 106; 29 girls) or typically developing (TD) controls ((n = 81; 28 girls). Analyses focused on diagnostic group differences in fractional anisotropy (FA) within fronto-subcortical circuitry implicated in delay discounting, connecting subregions of the striatum (dorsal executive and ventral limbic areas) and amygdala with prefrontal regions of interest (dorsolateral [dlPFC], orbitofrontal [OFC] and anterior cingulate cortex [ACC]), and associations with two behavioral assessments of delay discounting. ResultsChildren with ADHD showed reduced FA in tracts connecting OFC with ventral striatum, regardless of sex, whereas reduced FA in the OFC-amygdala and ventral ACC-amygdala tracts were specific to boys with ADHD. Across diagnostic groups and sex, reduced FA in the dorsal ACC-executive striatum tract correlated with greater game time delay discounting. ConclusionsThese results suggest a potential neurobiological substrate of heightened delay discounting in children with ADHD and support the need for additional studies including larger sample sizes of girls with ADHD to further elucidate ADHD-related sex differences in these relationships.

The Potential Stickiness of Pandemic-Induced Behavior Changesamong Adolescents: The Case of Video Game

The outbreak of the COVID- 1 9 in early 2 0 2 0 generated perhaps the largest disruption in changing humanbehavior and choices. Going forward, A critical question is how these experiences have changed preferencesand habits in ways that might persist after the pandemic ends. This paper explores the time commitment changeadolescents put on video games after experiencing the pandemic to provide concrete evidence of behavioral stickiness.Using the online survey of 412 adolescents, the paper confirms the stickiness in video game time among adolescents.Interestingly, adolescents who experienced the quarantine caused by the COVID- 19 has less game time increases thanthose who did not. The paper also addresses that game-playing history, age, and parenting time are good predictors forsuch stickiness.

Association between video gaming time and cognitive functions: A cross-sectional study of Chinese children and adolescents.

This study sought to explore relationships between video gaming time and cognitive functioning in children and adolescents to provide a scientific reference for a reasonable time range of game use. A total of 649 participants aged 6-18 years were recruited through an online survey using convenience sampling. We used a combination of multiple linear regression models, smoothing splines, piecewise linear regression models, and log-likelihood ratio tests to comprehensively analyze the linear and nonlinear relationships between video gaming time and cognitive functions. Neurocognitive functioning was assessed using the digit symbol test, spatial span back test, Stroop task, and Wisconsin card sorting test. Facial and voice emotion recognition tests were used to evaluate social cognitive functioning. Video gaming time had a saturation effect on improving correct answers to the digit symbol test, which means that performance did not increase with increasing video gaming time when the video gaming duration reached 20h/week (adjusted β=-0.58; 95% CI: -1.22, 0.05). Furthermore, both the relationship between video gaming time and the Wisconsin Card Sorting Test and the facial emotion recognition score showed a threshold effect. The completed categories of the Wisconsin Card Sorting Test began to decline after 17h/week of playtime, and a decline in facial emotion recognition occurred after playing video games for over 20h/week. These results suggest that children and adolescents should restrict their video gaming time to within a certain range, which could help reduce the negative effects of video games and retain their positive effects.

Return to Play Rates Following Operative Ankle Fractures Differ Between High- and Low-Performing National Football League Athletes.

This study investigated predictive factors for return to play among National Football League athletes after operative treatment of ankle fractures and the impacts of these injuries on career longevity and player performance. Athletes who underwent surgery to repair ankle fractures from the 2013 to 2017 seasons were identified from injury reserve lists and press releases. Demographics and season metrics were collected before and after the injury. Statistical analysis assessed for differences in recorded variables between injured and uninjured players. Thirty-one players met study inclusion criteria. Twenty-two (71%) athletes successfully returned to play. Players who did not return showed no significant differences (P>.05) in position, age, body mass index, number of games or seasons played preinjury, or snaps per game the season prior to injury and had a significantly lower (42.6%, P=.013) preinjury season approximate value (SAV) compared with returning players. Returning athletes showed no significant differences (P>.05) in SAV or snaps per game compared with their preinjury season or with uninjured controls. A high preinjury SAV is associated with successful return to play. No difference in game time or performance metrics was detectable between returning players and uninjured controls, or between preinjury and postinjury seasons. [Orthopedics. 2024;47(1):22-27.].

Game Theory Optimization Based on Python: Evidence from Board Game “Go-Moku”

Game theory has been widely used in multiple fields such as economics, computer science, and political science to study the rational behavior of multiple decision makers in different scenarios. In recent years, with the rapid development of artificial intelligence, AI trained using game theory has shown outstanding performance in board games such as Go, chess and backgammon. This study explores the application of game theory optimization in the board game "Go-Moku" using a learning algorithm combining Monte Carlo tree search algorithm and reinforcement learning. The paper discusses recent developments in game theory in Go-Moku and explains the Monte Carlo tree search algorithm in detail. The performance of the algorithm is evaluated through experimental results of the application of Alpha Zero in the Go-Moku domain, demonstrating its effectiveness in improving the gaming capabilities of artificial intelligence. According to the analysis, after 1,100 training sessions, the algorithm combining reinforcement learning and MCTS had a 9:1 win rate compared to a pure MCTS approach with 2,000 self-simulations per step. And playing against the 800-times pure MCTS method, it reached a 10:0 win rate for the first time in the 300th game. In addition, the paper discusses potential applications of game-theoretic optimization in other dynamic games. Overall, these results shed light on further exploration of game theory in the area of complete information games and reinforcement learning.