Revista multidisciplinar de las Ciencias del Deporte

THE INTEGRATION OF NEURO-LINGUISTIC PROGRAMMING FOR OPTIMAL SOCCER PERFORMANCE IN PORTUGAL

Tiago Mendes — Thu, 25 Apr 2024 00:00:00 +0000

The subject of this article is integrating neuro-linguistic programming (NLP) approaches to improve football play in Portugal. The research aims to determine the integration of neuro-linguistic programming for optimal soccer performance in Portugal. The psychological discipline of NLP, which emphasises the relationship between language, behaviour patterns, and goal achievement, provides practical methods for improving players' mental toughness and all-around on-field performance. The research was based on primary data analysis to determine the data using SPSS software and generate results, including descriptive statistics, correlation coefficient analysis, chi-square analysis and regression analysis. Neuro-linguistic programming is the main independent variable, and optimal soccer performance is the main dependent variable. Using visualization, anchoring, language patterns, goal planning, and stress management strategies, athletes may cultivate a strong mental structure that facilitates optimal abilities. Coaches greatly aid NLP techniques and offer direction and encouragement to enable players to reach their greatest potential. Portuguese football teams can gain a competitive edge by adopting NLP, which promotes a positive culture, efficient communication, and a sense of shared objectives among players. Overall, the research found a positive and significant relationship between them. The possibility of incorporating NLP into football training and performance in Portugal is highlighted in this research, which might help build well-rounded athletes who possess exceptional physical and psychological qualities.

LEVERAGING STATISTICAL THEORY IN SPORTS COMPETITIONS: AN ANALYSIS OF PROBABILISTIC MODELS AND MULTIPLE REGRESSION WITHIN THE FRAMEWORK OF BIG DATA

Hanzhe Zhang, Ailing Wang — Thu, 25 Apr 2024 00:00:00 +0000

CBA is a sports event that allows fans to enjoy themselves and players to give full play, and traditional Chinese cultural values have a profound influence on it. This paper takes the 100 sets of historical rating data of the fourteen teams in CBA league as the basic basis, firstly, we simply deal with the 100 sets of historical rating data and use Excel function formula to find out the mean, extreme deviation and variance of each team, then we carry out SAS normal test, and we find that except for the very few data with large deviation, the historical rating data satisfy the normal distribution. Through the outlier algorithm to screen the values, compare the confidence intervals as well as carry out hypothesis testing, to objectively and scientifically explore the probability of each team winning the championship in the CBA league. Compare the probability of winning the championship of these fourteen teams and predict the top four teams in the CBA league to ensure that the prediction results are as reasonable as possible. With the help of hierarchical analysis to qualitatively analyze the level of each team, and then through cluster analysis to compare these data, and combined with the trend of the development of the world's basketball movement, the use of multiple regression and SPSS to analyze the level of the team's factors, in-depth thinking about the league, a more reasonable to give a more scientific to improve the probability of the team's winning the championship, and to promote better development of the basketball movement.

RESEARCH ON EFFECTS OF HIGH INTENSITY INTERVAL TRAINING ON CARDIOPULMONARY FUNCTION IN ADOLESCENTS

Yifu Feng, In Sung Yeo, Zhen Niu — Thu, 25 Apr 2024 00:00:00 +0000

High intensity interval training (HIIT) is now a very exercise attention by society, scholars from all over the world have to look into the training methods. At present, most studies on HIIT in the market compare it with moderate intensity continuous aerobic exercise. From another perspective, this study compares HIIT training with typical Repetition Training (RT) in strength training to study the changes of cardiopulmonary function indicators in adolescents. The aim is to find out a more suitable and efficient way for youth sports training, so as to improve their physical fitness level.

THE UTILIZATION OF VIRTUAL REALITY IN TRAINING TACTICAL DECISION-MAKING IN ARGENTINIAN RUGBY

Santiago Martínez, Lucía Ramirez — Thu, 25 Apr 2024 00:00:00 +0000

This study investigates the possible advantages and uses of virtual reality (VR) technology in developing rugby players from Argentina's ability to make tactical decisions. Rugby is becoming an even more dynamic and strategic sport. Thus, there's a growing need for creative training techniques. The research was based on secondary data analysis to determine the data using E-views software and generate results, including descriptive statistics, and equality test analysis, which also explains the model summary related to dependent and independent variables. With virtual reality (VR), players can imitate actual game conditions in a secure setting, honing their strategic thinking and cognitive skills without the physical rigours of on-field practice. The overall research found significant utilization of virtual reality in training tactical decision-making in Argentinian rugby. Virtual reality (VR) can assist rugby players in improving their decision-making process, collaboration, communication abilities, and overall effectiveness on the pitch through immersive and repetitive training experiences. The benefits of virtual reality training, its possible effects on player growth, and its ramifications for the future of rugby in Argentina are all covered in this essay. It also discusses factors to consider when integrating virtual reality technology into rugby training programs. It offers areas for more study to optimize its ability to improve tactical competence in Argentine rugby players.

PERSONALIZED ATHLETE MENTAL HEALTH CARE RECOMMENDATIONS AND EXAMINATION STRATEGIES

Haoxing Zhou, Dewen Huang — Thu, 25 Apr 2024 00:00:00 +0000

In recent years, the athlete mental health problems have become more and more prominent. Compared with high school, college athlete students are in a more complex environment and face more diversified difficulties, such as the constant emergence of problems in academics, interpersonal interactions, emotional life, employment, etc., which make college athletes overwhelmed, and the accumulation of pressures from many sides leads to a variety of psychological problems. Therefore, it is important to pay attention to the individual athlete mental health problems, and to detect and guide the development of athletes' mental health in time, which is crucial for the management of athlete students in colleges and universities. The purpose of this paper is to use data mining principles and methods to explore the factors leading to psychological problems of college athletes, so as to carry out psychological intervention purposefully. In this paper, we use data mining technology to set up a questionnaire with 90 questions reflecting mental health, and take SCL-90 Symptom Self-assessment Scale as the measurement standard to collect data, establish a data set, analyse the data using improved Apriori algorithm, and establish a decision model of obsessive-compulsive symptoms using decision tree ID3 algorithm, which provides a theoretical basis for the evaluation of the athletes mental health status of college athletes and decision-making of health checkups. It provides a theoretical basis for the evaluation of the mental health status of athletes and the decision-making of health examination.

GAIT ANALYSIS AND DEEP LEARNING FOR OVERUSE INJURY DETECTION IN OUTSTANDING DISTANCE RUNNERS

Lulu Wang, Zhihai Lu, Bing Zeng, Yanlin Su — Thu, 25 Apr 2024 00:00:00 +0000

Injuries caused by overuse are common in long-distance runners, and early detection of overuse-induced injuries can assist coaches in adjusting training programs to avoid further development of injuries and effectively prevent serious injuries. Gait research is an important tool in distance running research, through the athlete's gait parameters can obtain the athlete's movement status and injury. However, the traditional less research requires rich experience guidance, which is not conducive to widespread promotion. In this paper, deep learning technology is utilized to construct an athlete overuse injury gait detection model. Through the automatic analysis of the athletes less parameters to detect whether there is overuse-induced injury, early detection of injury trends, to avoid injury aggravation. Through experiments, it is verified that the model can effectively identify the gait parameter characteristics of overuse injury in excellent athletes.

THE APPLICATION OF SPORTS PSYCHOLOGY IN OVERCOMING PERFORMANCE ANXIETY AMONG ITALIAN CYCLISTS

Chen Li, Wei Zhang — Thu, 25 Apr 2024 00:00:00 +0000

The aim of the research is to determine the applications related to sports psychology in overcoming performance anxiety among Italian cyclists. Athletes, particularly cyclists, frequently struggle with performance anxiety, which can seriously impair their capacity for peak performance. In this abstract, we investigate the use of sports psychology strategies designed specially to help Italian cyclists who experience performance anxiety. The research was based on primary data analysis to determine whether it used smart PLS software and generated results that included descriptive statistics, correlation coefficient analysis, and the smart PLS Algorithm Model between them. This research study offers a methodical strategy made up of several psychological treatments meant to reduce performance anxiety and enhance performance. It discusses many techniques, including biofeedback, stress management, goal setting, cognitive restructuring, visualization, pre-performance rituals, simulated pressure scenarios, and creating a supportive team atmosphere. By practicing these tactics, Italian riders can acquire the psychological fortitude required to negotiate stressful competition situations successfully. the overall research It is vital to constantly assess and modify treatments to make sure they are efficient and meet the demands of each athlete. Italian cyclists may overcome performance anxiety and reach their full potential on the bike by incorporating sports psychology concepts into their training program, which will help them succeed in national and international contests.

RELATIONSHIP BETWEEN ANAEROBIC CAPACITY AND CHANGES IN SPEED IN THE 100-M BREASTSTROKE STROKE IN SHORT-DISTANCE BREASTSTROKE SWIMMERS: THE MEDIATING ROLE OF TECHNICAL CHANGE

Yujue Wang, Bo Huang — Thu, 25 Apr 2024 00:00:00 +0000

Objective: By analyzing and summarizing the relationship between anaerobic capacity, technical changes of 100m breaststroke en route and speed changes of short distance breaststroke athletes, the interrelationship and internal pathways between the three are revealed to provide reference for improving athletic performance of short distance breaststroke athletes and provide theoretical basis for anaerobic capacity training. Method: Fifteen male short-distance breaststroke athletes (age 19.67±2.61 years, height 178.4±7.04 cm, weight 71.6±7.79 kg) were selected to perform anaerobic power cycling and 100 m breaststroke tests on the upper and lower extremities. The correlations and intrinsic linkage pathways between the three were explored by calculating Pearson correlation coefficients and using a mediating effects model. Result: Significant differences existed in speed, stroke rate, cycle time per stroke, and swim efficiency index in the 100 m breaststroke all-out test. There were significant correlations between the rate of anaerobic power decrease in the upper limb and the changes in stroke amplitude, cycle time per stroke, and speed. There were significant correlations between the change in mean stroke rate, the change in cycle time per stroke, the change in swim efficiency index and the change in speed. Anaerobic power indirectly influenced the speed variation during the en-route swim, which was mediated by the technical variation in cycle time per stroke. Conclusion: The upper limb anaerobic fatigue resistance of short distance breaststroke athletes is a key factor affecting the technique and speed stability of the 100m breaststroke en route, and the rate of decline in upper limb anaerobic power leads to a decrease in speed by affecting the change in time per stroke cycle.

EVALUATING THE IMPACT OF TRADITIONAL CHINESE HEALTH EXERCISES ON ADOLESCENT MENTAL HEALTH: A SYSTEMATIC REVIEW AND META-ANALYSIS

Thu, 25 Apr 2024 00:00:00 +0000

Under the background of the rapid development of The Times, the material conditions, living standards and education level of teenagers have been greatly improved, so the healthy development of teenagers is easily affected by the external environment. In a rapidly developing society, adolescents are affected by academic burden, changes in lifestyle, and stress from family patterns, which bring major challenges to the development of adolescent mental health. Psychological problems such as depression, anxiety and social phobia are on the rise among teenagers. Early educators pay more attention to the development of adolescent mental health, but with the increasing prominence of adolescent mental health problems, mental health is a special aspect of today's society and the country pays more attention to. To this end, promoting the development of adolescent mental health has become the research direction of many experts and scholars, many of which will focus on the field of sports, because sports have better operability, mass and fun, experts and scholars expect to improve the mental health problems of adolescents through sports. Cuju is a traditional Chinese health sport, which consists of kicking, touching and kicking. Based on the integration of systematic review and meta-analysis, this paper reviewed the research on the influence of Cuju on adolescents' mental health, and confirmed the intervention effect of traditional Chinese ball games on adolescents' mental health through research. Objective: To explore the influencing factors of the effect of ball game intervention on adolescent mental health.

ENHANCING MOTION CAPTURE TECHNOLOGY FOR YOUTH SPORTS TRAINING THROUGH DECISION TREE ALGORITHMS

Bo Gao, Sidan Zhang, He Jing — Thu, 25 Apr 2024 00:00:00 +0000

With the popularization and specialization of youth sports training, how to accurately capture and evaluate the quality of trainers' movements has become an important topic in sports science research. This study aims to improve the youth sports training motion capture technology, using decision tree algorithm to classify and analyze the movement data in order to improve the training effect of athletes. The traditional motion capture technique has problems such as high subjectivity, low efficiency, and error-prone, while the decision tree algorithm has the advantages of simplicity, fast training speed, and adaptability to small sample data. In this study, the action data of youth athletes were collected and the decision tree algorithm was used to train and predict the athletes' action classification results. The experimental results show that the decision tree algorithm can effectively classify and analyze the action data of adolescent athletes, accurately judge the strengths and weaknesses of athletes' actions, and provide targeted training suggestions and improvement directions. Compared with the traditional manual observation method, the motion capture technology based on the decision tree algorithm has obvious advantages in terms of accuracy and efficiency. Therefore, this technical improvement method provides a new way and method for youth sports training, which is expected to provide important support for improving the training effect and assessment accuracy.

INVESTIGATING THE IMPACT OF HIGH-INTENSITY INTERVAL TRAINING AND CROSSOVER POINT TRAINING ON BLOOD LIPID METABOLISM IN OVERWEIGHT FEMALE COLLEGE STUDENTS

Pengwang Zhao, Xuesheng Zhang, Jinlin Ma, Jia Huang — Thu, 25 Apr 2024 00:00:00 +0000

Background and purpose of the study: There is a significant correlation between the level of lipid metabolism markers in serum and the incidence of cardiovascular and metabolic diseases, based on which, maintaining the health of lipid metabolism is of great significance in improving the quality of life and preventing the occurrence of diseases. At the same time, with the gradual improvement of living standards and economic level, people's demand for health is also increasing, so there is an urgent need to find ways to exercise to maximize the health benefits within a limited period of time. Study subjects and methods: A total of 30 female college students with BIM test results ≥24kg/m2 and <27.9kg/m2 were selected for this study. The 30 female college students were randomly divided into three groups, which were labeled as the control group (SSC group), the high-intensity interval training group (HIIT group), and the cross-point training group (COP group) in accordance with the differences in the implementation of the research methods. Prior to the implementation of the exercise intervention, a maximal oxygen uptake test and a crossover point test were completed to pinpoint the acceptable exercise intensity for each individual. A 10-week exercise intervention program was implemented 3 times per week for 10 weeks for female students in the HIIT and COP groups to ensure that the daily physical activity of female students in the SSC group remained unchanged. In the HIIT group, the female students were required to complete 5 sets of high-intensity interval training for a total of 35 minutes per session, with each set consisting of 4 minutes of running (at 85% of maximal oxygen uptake) interspersed with 3 minutes of walking (at 50% of maximal oxygen uptake). Female undergraduates within the COP group were required to complete a total of 45 minutes of cross point exercise training per session at a sustained intensity. Morphological and blood indices of 30 female students were collected before and after the implementation of the corresponding exercise intervention program, and were statistically and scientifically analyzed. Study Results: After a 10-week exercise intervention, there were no significant changes in morphological indicators, blood indices, and related ratio indices of female college students within the SSC and HIIT groups (P > 0.05); After the 10-week exercise intervention, the morphological indicators, blood indicators, and related ratio indicators of female college students within the COP group improved significantly (P < 0.05); Compared with the pre-intervention period, the morphological indicators of the female students in the COP group showed a decrease in BMI and body fat percentage (P < 0.05), and a decrease in waist and hip circumference (P < 0.05), and the blood indicators showed a decrease in serum Apo B (P < 0.05) and a decrease in the ratio of Apo B to Apo AI (P < 0.05). Research Conclusion: Cross-point training intensity sustained can significantly improve the morphological indexes, blood indexes and related ratio indexes of overweight female college students, and it is an effective exercise training modality that can improve the risk factors of abdominal obesity, lipid health, and cardiovascular disease in female college students.

ASSESSING THE INFLUENCE OF COLLEGE CAMPUS ENVIRONMENTS ON MENTAL HEALTH INTERVENTIONS FOR ECONOMICALLY DISADVANTAGED STUDENTS

Jianing Shi, Zhiguo Fang — Thu, 25 Apr 2024 00:00:00 +0000

Objective: To explore the relationship between college students with financial difficulties, campus environment and mental health, and to explore whether physical activity can be used as a mediating variable to make campus environment affect mental health through it, so as to improve the mental health of college students. Methods: A total of 150 college students from five universities in Shanghai were selected by stratified random sampling. The basic information of the questionnaire was surveyed, the 3D accelerometer and GPS measured the intensity, time and trajectory of physical activity, the built environment factors were extracted by GIS, and the structural equation model was tested by AMOS 22.0. Results: Campus environment had a significant direct effect on the mental health of college students with financial difficulties, and the path coefficient was 0., respectively43, the order of its contribution is landscape elements, spatial configuration, building density, distance from sports venues, and the obvious direct and indirect effects on the mental health of college students with financial difficulties through physical activities, and the path coefficients are 032. 0.101;Campus environment and physical activities have a positive impact on the mental health of college students with financial difficulties. Conclusion: Campus environment and physical activities have direct and indirect effects on the mental health of college students with financial difficulties. By revealing the impact path of college students with financial difficulties' mental health, it is of great practical significance for the construction of urban communities, the improvement of campus environment, the promotion of physical activities, and the improvement of mental health in the new era.

EXPERIMENTAL STUDY ON THE IMPACT OF FUNCTIONAL TRAINING ON THE AGILITY QUALITY OF YOUNG ATHLETES

Bo Gao, Kaixuan Zhao — Thu, 25 Apr 2024 00:00:00 +0000

At present, there is a lack of relevant literature on functional training for young athletes aged 10-12 years old in China. This project plans to combine functional training with sports training classes. Through 40 young athletes aged 10-12 years old, the impact of functional training on 10-12-year-old athletes is systematically studied. Effects on agility in age-old athletes and exploring its causes. This article uses expert interview methods, experimental methods, mathematical statistics and other methods to analyze the survey results. Before the experiment begins, general information about the research subjects is collected, and then they are divided into experimental groups and control groups, and then a difference analysis is performed to determine the differences between the two groups. After 12 weeks of experimental intervention, the sensitivity quality evaluation indicators of the two groups of students were compared. Results: There was a very significant difference in the experimental group's scores on the hexagonal reaction ball test before and after the experiment (P<0.01), with an improvement rate of 10.8%; the difference between the control group's scores on the hexagonal reaction ball test before and after the experiment was statistically significant (P<0.01). Significance (P<0.05), the average improvement was 4.0%. There was a very significant difference (P<0.01) in the performance of the experimental group in the 4×10m return run before and after the experiment, with an improvement rate of 11.7%; in the control group, there was a significant difference in the 4×10m return run before and after the experiment. The difference was statistically significant (P<0.05), and the average progress rate was 8.0%. Conclusion: Whether functional training or traditional physical training can improve the physical fitness of children aged 10 to 12 years old to varying degrees. Among athletes aged 10 to 12 years old, functional training has a significant promotion effect on improving the speed and flexibility of the 6-angle reaction ball and 4×10 m. Traditional physical training has a significant effect on improving the speed and flexibility of the 4×10 m return run between the ages of 10 and 12 years. Performance is improved to varying degrees, and functional training is more effective. Functional training can increase the interest in sports practice of teenagers aged 10 to 12 years old, and relieve the monotony of training classes to a certain extent.

EXPLORING THE INTEGRATION OF ARTIFICIAL INTELLIGENCE IN THE SPORTS TOURISM INDUSTRY

Yao Huang, Xueqin Yang — Thu, 25 Apr 2024 00:00:00 +0000

Artificial intelligence (AI) has advanced from a theoretical concept to a practical application thanks to the quick development of computer science and information technology. AI, a fundamental component of contemporary civilization, has a growing impact on all facets of daily life, including sports training. Artificial intelligence (AI) can be viewed as a supporting technology that specifically supports athletes' physical education training through methods like data analysis and simulation of training scenarios. Even though research on AI is still in its early stages, it is important to investigate how it may be used in sports training because this cutting-edge technology could in some ways make it easier for individuals to train physically. This study begins by reviewing the prior work on AI applications. In, this study investigates three specific situations of AI application in sports training and describes the key concepts based on the core idea and related research findings of AI. This study focuses on the close connection between artificial intelligence (AI) and physical education instruction and emphasises the benefits of AI, such as its use, ease, and innovation. This study creates the appropriate information data interface mode based on the integration of the sports tourist sector and the culture industry.

ANALYZING THE ROLE OF COMPUTATIONAL CLUSTERS AND ARTIFICIAL INTELLIGENCE IN THE DEVELOPMENT OF CHILD MENTAL HEALTH

Yixuan Gu — Thu, 25 Apr 2024 00:00:00 +0000

In recent years, there has been a lot of research interest in the growing use of artificial intelligence (AI) in health and medicine. This study attempts to provide a global, verified picture of research on AI in medicine and health. There are vast informational resources available, but there are also devices that can't decide examples precisely or predict the future. The conventional methods for diagnosing illnesses are manual and prone to error. When compared to elite human ability, the use of artificial intelligence's predictive approaches improves auto determination and reduces identification errors. A thorough analysis of those articles convinced the ordering party to order the most complex AI processes for clinical symptomatic frameworks. This research report seeks to unearth some key information on the flow and past of many AI techniques in the clinical setting used in the current clinical investigation, particularly in the areas of coronary disease prediction, brain illness, prostate, liver illness, and kidney infection. In order to ensure that Childs are well-informed and guided, this study uses the coordination examination calculation to distinguish Childs' mental health difficulties and applies the reconciliation examination calculation to Childs' mental health inquiry. A thorough analysis and exploration of children's mental health is completed in light of the framework design approach and information mining grouping technique.

THE EFFECTIVENESS OF YOGA AND MINDFULNESS IN INJURY REHABILITATION AMONG BRITISH RUNNERS

Xiaomin Qi — Thu, 25 Apr 2024 00:00:00 +0000

This study aims to determine whether including yoga and mindfulness exercises in injury rehabilitation regimens for British runners can be beneficial. Since injuries are prevalent among runners and can influence physical and mental health, it is critical to investigate alternatives to standard recovery. The research measures the effectiveness of yoga and its mindfulness in injury rehabilitation among British runners. A mixed-methods approach was used, which included both a quantities study of participant experiences and a quantitative investigation of injury therapeutic rates. British runners receiving normal rehabilitation were placed in a control group and an experimental group that received yoga and mindfulness interventions. Overall, the research study measured the smart PLS Algorithm model and created informative results, including descriptive statistics and correlation coefficients that present the smart PLS Algorithm model between them. Over the course of six months, information on pain thresholds, range of motion, psychological health, and injury medicinal rates was gathered. Quantitative data analysis also investigated how the participants perceived the intervention. According to preliminary research, integrating yoga and mindfulness techniques may help British runners heal from injuries more quickly, feel less pain, be more flexible, and generally feel better. More investigation is necessary to verify these results and clarify underlying mechanisms using bigger sample sizes and longer follow-up times. The overall result found that there is a direct and significant link between the effectiveness of yoga and mindfulness in injury rehabilitation among British runners. However, this study emphasises how alternative therapies like yoga and mindfulness may help runners get the best possible results from their injury rehabilitation.

EVALUATION OF LEFT VENTRICULAR FUNCTION IN HYPERTENSIVE ATHLETIC PATIENTS WITH DIFFERENT CIRCADIAN RHYTHMS USING STRATIFIED STRAIN TECHNIQUE

Hongyun He, Guangjun Zhang, Yunzhao Hu — Thu, 25 Apr 2024 00:00:00 +0000

Purpose: With the stratified strain approach, the changes in the longitudinal mechanical condition of the left ventricular myocardium in hypertensive athletic patients with a normal left ventricular ejection fraction (LVEF) have been evaluated. Materials and Methods: Based on circadian rhythm, 48 dippers and 53 non-dippers are selected among 103 hypertension athletic patients with normal LVEF (LVEF > 50%). The stratified strain approach is used to measure the longitudinal strain (GLS) of the subendocardial, middle, and epicardial myocardium during left ventricular systole. The relationship between the stratified strain and the circadian rhythm in hypertensive individuals has been analysed. Results: show that the levels of IVST, LVPWT, and LVMI in the non-dipper group are considerably higher than those in the dipper group, while there is not statistically significant between the two groups in terms of LVDd, LVDs, LA, or EF. Myocardial strain analysis reveals that the left ventricular long axis strain (GLS) in the non-dipper group is considerably greater than that in the dipper group, And the difference is statistically significant (P< 0.05). But the GLSendo between the non-dipper group and the dipper group did not vary significantly (P<0.05). In GLSMid, GLSepi, there is no significant difference, and the difference is not statistically significant(P>0.05). Conclusion：Ultrasonic stratified strain technique can quantitatively measure and analyze the longitudinal stratified strain of the myocardium in each segment of the left ventricle in hypertensive athletic patients and evaluate their early left ventricular mechanics changes, providing a better diagnostic method for early clinical determination of myocardial involvement in athletic patients.

INVESTIGATING THE ROLE OF GENETIC TESTING IN TAILORING TRAINING PROGRAMS FOR FRENCH SWIMMERS

Jean Dupont, Jacques Lefevre — Thu, 25 Apr 2024 00:00:00 +0000

In sports science, genetic testing has become a valuable tool for understanding the genetic foundations of athletic ability. This study investigates whether genetic testing may be used to customize training plans for French swimmers to optimize performance, reduce injury risk, and improve recovery. Coaches can determine genetic predispositions pertaining to muscle composition, metabolism, injury risk, and recovery capacity by analyzing the genetic profile of an athlete. With the use of this data, individualized training plans that target deficiencies, build on strengths and increase success rates in the pool may be created. The research was based on primary data analysis to determine whether the research used Smart PLS software and generated results, including descriptive statistics, and correlation coefficient analysis, which also explains the smart PLS Algorithm Model between them. Event specialization, dietary optimization, injury avoidance, recovery optimization, talent discovery, and long-term athlete development are some of the main uses of genetic testing. French swimming programs can acquire a competitive advantage and set up their athletes for success on the international scene by incorporating genetic information into coaching procedures. A discussion of the ethical issues surrounding the use of genetic data in sports is included, focusing on the value of informed consent and private rights. The overall research found the positive and significant role of genetic testing in tailoring training programs for French swimmers. Genetic testing has great potential to enhance training regimens and bring forth the hidden talent of French swimmers, solidifying France's standing as a dominant force in the world of competitive swimming.

CONSTRUCTION OF ATHLETES' POSITIVE PSYCHOLOGICAL FITNESS ASSESSMENT MODEL BASED ON FUZZY CLUSTERING ALGORITHM AND SECURE NEURAL NETWORK DRIVEN

Zhihai Lu, Lulu Wang, Bing Zeng, Shilong Li — Mon, 01 Jan 2024 00:00:00 +0000

The social environment faced by athletes is constantly changing, and there are various ways for them to contact. Compared with before, today's athletes are more precocious and sensitive to many things in society. The social environment they are faced with is constantly changing, and their ways of contact are various. In order to improve the accuracy of athletes' positive psychological fitness assessment, this paper analyzes and studies athletes' positive psychological fitness based on system engineering method and DM method, and constructs a positive psychological fitness assessment model based on Fuzzy C-clustering (FCM) and Secure Neural Network as examples. The findings indicate that, following numerous iterations, this method outperforms the comparison algorithm in psychological crisis analysis. The error rate has been substantially reduced by 38.55%, while the recall rate has reached an impressive 96.87%, surpassing the comparison algorithm by 16.04%. These results demonstrate the model's capacity for self-learning, enabling online self-diagnosis of athletes' positive psychological disorders. Moreover, it provides valuable support to psychological counseling and the psychological fitness teams in universities. Given the widespread application of big data in the field of psychological fitness, utilizing big data for studying new approaches to pre-alarm psychological fitness crises has emerged as an important research direction.

BLOCKCHAIN-BASED ATHLETE HEALTH ARCHIVES DATA SHARING FROM THE PERSPECTIVE OF PUBLIC HEALTH

Chen Xiu — Tue, 02 Jan 2024 00:00:00 +0000

Managing athlete health archives data from the perspective of public health is essential for disease surveillance, outbreak response, evidence-based interventions, policy development, and collaborative efforts. By leveraging this data effectively, public health organizations can enhance their ability to monitor and protect the health of athletes, as well as the broader population. It is particularly important to monitor and share exercise status and human health data to prevent sports injuries caused by improper exercise during exercise. Therefore, this article proposes a storage and sharing model for athletes' health Archive data based on blockchain distributed decision-making to achieve safe storage and sharing of athletes' health data. First, the design goals and requirements of the distributed decision-making authentication system are clarified. Build DID data structure and athlete health Archive data management based on blockchain and DID technical standards. Utilize the characteristics of blockchain data such as traceability, non-tamperability, openness and transparency to solve the problem of mutual trust in athlete identity authentication systems. The overall architecture of the blockchain-based distributed athlete health Archive authentication system and the design of each functional module of the identity authentication system were also designed, including identity registration, verification, authorization, etc. The unique identity identifier is used as the athlete's identity, the public and private keys are used for signature and verification, and the Merkel tree is used to record and verify the athlete's data records. Based on the blockchain platform, the smart contract security execution process is used to store athlete identity information on the blockchain, ensuring that access records are traceable and tamper-proof.

THE INFLUENCE OF CLIMATE ON OUTDOOR ATHLETIC TRAINING REGIMES IN NORWAY

Nazlı Østgaard — Fri, 01 Mar 2024 00:00:00 +0000

This study investigates how the country's environment impacts Norway's outdoor athletic training regimens. Athletes and coaches in various sports have special chances and problems due to Norway's environment, which is marked by frigid temperatures, protracted winters, and varied topography. The research was based on primary data analysis to determine whether the research used smart PLS software and generated informative results, including descriptive statistics, correlation coefficient analysis, also the smart PLS Algorithm model between them. The main topics covered are the prevalence of winter sports, adjusting to low temperatures, changing training regimens according to the season, using various terrain, and psychological toughness. The overall research found climate's positive and significant influence on the outdoor athletic training regimes in Norway. Furthermore, the impact of technology developments on weather-related risk mitigation and training regimen optimization is explored. Athletes and coaches in Norway manage and succeed in outdoor sports endeavors via resilience, adaptability, and a profound grasp of how climate affects training, demonstrating the complex interactions between sport and the natural environment.

DECISION SUPPORT FOR BASKETBALL ATHLETE INJURY PROTECTION BASED ON PATTERN RECOGNITION

Xiaotian Han — Sat, 02 Mar 2024 00:00:00 +0000

Basketball is an intense competitive team sport, and sports injuries are a problem that athletes and coaches must face. Modern basketball sports body collision and confrontation is very powerful, so the risk of athletes in the training and competition process the chance of injury increased. To be able to find out the potential risk of injury early, to avoid serious injury law injury, this paper uses machine learning and pattern recognition technology, based on decision tree and random forest algorithm combined with wearable equipment to build basketball sports injury decision support model, to provide technical support for basketball player injury judgment. Through experimental verification, the decision support model proposed in this paper can effectively determine the injury situation of athletes and provide support for coaches to make further decisions.

EVALUATION OF ATHLETE PERFORMANCE AND RECOVERY IN AN INTELLIGENT SPORTS ENVIRONMENT

Xiaofeng Jiang, Xiude Guo, Hui Feng, Fangling Ren — Sun, 03 Mar 2024 00:00:00 +0000

Artificial intelligence technology as an important force driving the new round of scientific and technological revolution and industrial change, Open Pose Skeletal Tracking is a kind of algorithm based on computer vision technology, which plays an important role in quantitative sports and whole-body posture detection. In this paper, we constructed an intelligent system based on Open Pose bone tracking technology to assist aerobics training, and determined the corresponding experimental indexes, and carried out an 8-week experimental intervention on 50 athletes through the experimental method. The study concludes that artificial intelligence can be an empowering aid for performance-oriented and differentiated training-based athletic training, which is currently faced with the obstacles of insufficient infrastructure, privacy leakage of athletes, and incomplete talent protection mechanism.

CULTURAL FACTORS AFFECTING TEAM COHESION IN BRAZILIAN FOOTBALL

Natalia Toledo de Oliveira — Mon, 04 Mar 2024 00:00:00 +0000

This study determines the cultural elements that support cohesiveness within Brazilian football teams. Brazil's ardour for football, defined by a great love of the game, is the foundation for close relationships between players. The research based on primary data analysis to determine that the research used smart PLS software and generated informative results, including descriptive statistics, correlation coefficient analysis, also a smart PLS Algorithm model. On the pitch, solidarity is adoptive by the well-known samba style of play, which promotes creativity and collaboration. Strong bonds and networks of support among teammates are another result of Brazil's emphasis on social cohesiveness, diversity, and inclusion in football teams. Through conquering obstacles, players develop resilience and flexibility, which they use to fortify their relationships and tackle hardships as a team. Coaches may effectively substitute team cohesiveness by providing leadership and mentoring that prioritizes communication, teamwork, and a common goal. Brazilian football teams are an example of a cohesive squad that may achieve amazing success on the international scene because of these cultural dynamics. The overall research found a direct and significant link of cultural factors affecting team cohesion in Brazilian footballs. Encouragement team cohesiveness and improving performance in Brazilian football and other sports requires understanding these cultural elements.

REAL-TIME MONITORING AND ANALYSIS OF ATHLETE MUSCLE ACTIVITY BASED ON WEARABLE SENSOR

Jilei Han — Tue, 05 Mar 2024 00:00:00 +0000

Muscle fatigue is a common phenomenon in life and work, which reduces work efficiency and quality of life, and also affects the performance of the biomechanical interface. It is of great research value to collect and analyze the information related to muscle contraction to study the mechanism of muscle fatigue. In order to better study the athlete muscle contraction movement, the principle of photoelectric volumetric tracing (PPG) to detect the athlete muscle contraction movement is introduced, and a reflective photoelectric muscle contraction sensing system that can detect four signals at the same time is designed. A programmable constant-current source is used to drive an infrared LED to irradiate infrared light into the muscle tissue, and the light transmitted out of the muscle is detected by another infrared detection circuit and converted into an electrical signal. Under the control of the microcontroller, the four detected electrical signals are time-conducted by analog multi-switches, followed by low-pass filtering and AD sampling, and finally the obtained four data are transmitted to the upper computer through the Bluetooth module for subsequent processing. The circuit realizes the synchronous detection function of 4-channel signals, and the system is accurate, reliable and has certain practical value.