Ball Game Research Articles

Contribution Of Hand Reaction Speed And Feet Movement Speed With Table Tennis Playing Skills

Table tennis is a very unique type of small ball game. This is because table tennis uses a small ball made of celluloid, lightweight, and uses a bat to hit. This game is played on a table bounded by a net at the center of the table. The purpose of this study was to determine the contribution of hand reaction speed and footwork speed to playing tennis skills. This research belongs to the type of descriptive correlational research using a population of all male students state high school 1Marioriawa Soppeng Regency with a total sample of 40 people selected by random sampling. The data analysis technique used is the correlation analysis technique using the SPSS version 22.00 system at a significant level of 95% or 0.05. Starting from the results of data analysis, this study concludes that: (1) Hand reaction speed has a contribution to playing tennis skills by 61.6%; (2) Footwork speed has a contribution to the skills of playing tennis by 72.4%; and (3) Hand reaction speed and footwork speed have a contribution to the skill of playing tennis by 73.9%.

A COMPARATIVE ASSESSMENT OF THE PERFORMANCE OF DEPOSIT MONEY BANKS IN NIGERIA

Bank performance in terms of increase earnings has implication for the survival and growth of the sector, improving the financial results constitutes the most critical aspect of performance of banks. It is against this background that the study comparatively assessed the performance of some selected deposit money banks in Nigeria. Banking in Nigeria has undergone remarkable changes since 2005 bank consolidation. The era of armchair banking has gone. It has become a different ball game in terms of competition and its inherent strategies. This transition eventually brings the Nigerian banks to be in need of capital, asset creation, earnings, liquidity and the management to manage the risk exposure of the aforementioned. In this context, the present study assesses and compares the performance of the Nigerian banks from 2005 to 2015 through their liquidity, asset quality, profitability and share price. Moreover, the Nigerian banks are ranked based on their performance. The ranking result can be used to analyze the strengths and weaknesses of a bank compared to its competitors. Simple random sampling was used to obtain five out of the twenty-one deposit money banks using lottery method. Furthermore, data for the study was obtained from the annual audited reports of the selected banks and data was analyzed using analysis of variance (ANOVA) and it was found that there is a statistically significant difference in their various performance level with regards to liquidity, asset quality, profitability and share price. The significant differences among the banks in terms of the aforementioned, implies that the null hypothesis is thereby rejected and alternate hypothesis accepted, which can now be stated as; there is significant difference between the liquidity levels of the selected banks and their performances; there is significant difference between the asset quality levels of the selected banks and their performances; there is significant difference between the profitability levels of the selected banks and their performances; there is significant difference between the share price levels of the selected banks and their performances. The study concluded with recommendations as to how the various banks can reduce the level of non-performing loans which is cardinal to improvement in banks performance.

Turkey’s Policy toward Iraq since the First Gulf War a Power Balancing Approach

Following the Gulf War of 1991, Turkey became increasingly involved in Iraq, driven by a mixture of threat perception, ethno-sectarian links, and economic interests, which, in certain order, have led to its emphasis on maintaining the Iraqi territorial unity; preserving a degree of sectarian power balance in the governing body in Baghdad by saving the Sunni minority from marginalization or domination by the Shia majority; protecting the Turkmen minority; accessing energy resources and market; and, more recently, establishing a military-security foothold inside the country as its stake in the game of regional balance of power. In pursuit of these objectives in Iraq, Ankara constantly played a game of power balancing as its modus operandi in dealing with the country’s two governments: Kurdish regional government in the north and the central government in Baghdad by continually aligning with one side to counter the side that posed threats to one or more of Turkish objectives in the country.

Anthropometry and Physical Features of Bangladeshi Women National Level Kho-Kho and Football Players: A Frank Comparison

Introduction: In Bangladesh Football is the most popular ball game but Kho-Kho is not that popular like Football. Kho-Kho is a popular Game in India but day by day it is becoming popular in Bangladesh. Major muscle groups are used in these two games because both games involve running, driving, jumping, swinging, and hand motions. Methods: Forty national-level women Football players and forty national-level women Kho-Kho players were studied in the present study. The average age is between 14 to 21 years and the training age is between 2 to 6 years. All the anthropometric measurements and body mass were carried out with proper guidelines. Results: The average leg length for Female Kho-Kho players is 89.14 ( ±4.44 cm) and that of Female Football players is 86.92 ( ±8.91) cm. The average leg length of women Kho-Kho players is 2.22 cm higher than the average leg length of women Football players which is statistically significant. There is also a significant difference (p ≤0.05) when average BMI is compared. The average fat percentage of Women Footballers is slightly higher than the average Fat % of women Kho-Kho players where the average fat percentage of women football players is 22.09 % ±4.05 and that of Kho-Kho players is 22.01 ±4.01. Conclusion: The Bangladeshi national-level women Kho-Kho players have better physiques than the national women Football players whereas the body composition of both groups is very close.

Research on the Application of Deep Learning in Ball Games

Deep learning algorithms are widely used in image detection. Ball games, popular in sports, are amenable to data fiction due to their straightforward interaction models. With AI advancements, deep learning (DL) techniques like AlexNet, SSD, and DNN are increasingly applied in ball sports. These models have excelled in image and speech recognition, and their adaptation to ball sports research has led to advancements in ball classification/localization, trajectory tracking, game video analysis, and decision-making in multiplayer ball games. Deep learning models are able to learn complex features and patterns to detect and locate balls more accurately in images. This is very critical for ball detection in sports games, monitoring systems, and other fields, which can improve the accuracy and reliability of detection. Deep learning models can apply knowledge learned from one task to a related task through transfer learning. This makes it easier for the model to adapt to different types of ball detection problems, even with limited training data. The future of DL in ball sports is bright, promising significant changes and improvements in training, competition, and spectatorship.

Video-based exergaming versus conventional rehabilitation on balance in pediatric brain tumor survivors: a randomized clinical trial

Balance problems are widely reported in Pediatric Brain Tumor Survivors (PBTS) due to tumor localization and the side effects of medical treatment. This study investigates the effects of conventional versus video-based games exercise training (exergaming) on balance in PBTS. The present study was a randomized controlled trial. The study included 23 PBTS who were randomized to a Video-Based balance exergaming Group (VBG) or Conventional balance exercise training Group (CG). In both groups, the interventions were targeted to the balance function and balance exercise training was administered twice a week for 8 weeks. VBG exercised using selected Nintendo Wii Fit Plus® balance games while CG received a specially designed balance training using conventional physiotherapy methods. The primary outcome was the balance tests (Timed Up and Go and Nintendo® Wii™ Center of Gravity: COG), and the secondary outcomes were the functional tests (10-m walking, 2-min walking, 5-step climb/descent/times), and disease effect test (PedsQL Brain Tumor Module). The outcomes were assessed before and after the intervention. At baseline, no significant clinical and outcome assessment differences existed between both groups except for COG (p = 0.0495). After training, overall scores for balance, functional, disease effect tests significantly improved in VBG (p < 0.05) while progress observed in CG was not significant (p > 0.05). Video-based balance exergaming was found effective and more so than conventional balance exercise training in PBTS. Greater effectiveness of exergaming is thought to be due to increased motivation and effort of the children who are more attracted to gaming than conventional exercising. Exergaming could be beneficial both in clinical and home settings with physiotherapist supervision and may reduce the costs of treatment while improving their health-related quality of life.

Quality of Life for the Jordanian National Team Female Players

This research primary aimed at investigating the quality of life for the Jordanian National team’s female players and exploring any significant differences in the quality of life over the following variables: ages, economical level, number of play years, injury level, and the game type. The descriptive approach was used. The sample consisted of 73 female players of the National team games female players (football, basketball, handball, and volleyball). The players completed responding on the athlete life quality scale, prepared by (Gentner et al., 2011) which contains 15 items scale which divided into 5 subscales. The analysis results showed that the players reflected a (slightly satisfied) level at quality of life (mean =5.29). The results also showed that no significant differences were reported in the quality of life subscales according to age, economical level, number of play years and injury level. While significant differences were observed in the game type between the basketball female players from one side and the female players of football and hand ball team game such that the differences were favor of the football and hand ball games .The researchers recommend to essentially follow up female player’s needs of the national Jordanian team games and to take care and attention to the psychology and social needs in an attempt to raise their level quality of life which may help to raise and developed performance level.

The application of artificial intelligence in MOBA games

With the development of science and technology, artificial intelligence (AI) has developed rapidly and made great progress in various fields, and its application in the field of electronic games has also continued to expand. Currently, front-end companies in all major gaming fields are trying to apply AI technology to games. This article will review some specific application projects of artificial intelligence in Multiplayer Online Battle Arena (MOBA) games, and explore its application, impact and future development direction in games. The paper found that AI can currently adapt well to the game development rhythm of MOBA games, helping developers solve many problems related to game design or enhance the fun of the game, such as: using AI to improve the intelligence of intelligent non-player characters (NPCs), helping to adjust and improve Game balance and adaptability, as well as helping to predict game results and improve players' gaming experience. In the future, AI will not only be further used in MOBA games, but many games will also apply AI to games to achieve game development and market competitiveness.

Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Toward Asynchronous Commercial Games

Despite the emerging progress of integrating evolutionary computation into reinforcement learning, the absence of a high-performance platform endowing composability and massive parallelism causes non-trivial difficulties for research and applications related to asynchronous commercial games. Here we introduce Lamarckian <xref ref-type="fn" rid="fn1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">¹</xref> <fn id="fn1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><label>¹</label> The code and demonstrational setup of Lamarckian are publicly available at <uri>https://github. com/lamarckian/lamarckian</uri>. </fn> – an open-source platform featuring support for evolutionary reinforcement learning scalable to distributed computing resources. To improve the training speed and data efficiency, Lamarckian adopts optimized communication methods and an asynchronous evolutionary reinforcement learning workflow. To meet the demand for an asynchronous interface by commercial games and various methods, Lamarckian tailors an asynchronous Markov Decision Process interface and designs an object-oriented software architecture with decoupled modules. In comparison with the state-of-the-art RLlib, we empirically demonstrate the unique advantages of Lamarckian on benchmark tests with up to 6000 CPU cores: i) both the sampling efficiency and training speed are doubled when running PPO on Google football game; ii) the training speed is 13 times faster when running PBT+PPO on Pong game. Moreover, we also present two use cases: i) how Lamarckian is applied to generating behavior-diverse game AI; ii) how Lamarckian is applied to game balancing tests for an asynchronous commercial game.

Perkembangan Motorik Kasar Anak Melalui Permainan Modifikasi Estafet Bola Di TK IT Daarush-Shohaabah Cikoneng

Introduction: One form of education is early childhood education, where the basics are physical growth and development (fine and gross motor coordination), intelligence, social emotionality, language and communication. Gross motor skills are one aspect of a child's development that must be optimized because they are very important for maximizing the growth and development of a child's body. To develop gross motor skills in children, this can be done by playing ball relay games. Objective: The aim is to determine children's gross motor skills through the modified relay ball game at Daarush-Shohaabah Cikoneng IT Kindergarten. Method: This community service was carried out at the Daarush-Shohaabah Cikoneng IT Kindergarten with a total of 48 children participating. This community service seeks to monitor gross motor skills in children by conducting observations and intervening or treating ball relay games to improve gross motor skills. Observation of gross motor skills is carried out by dividing them into several indicators, namely not yet developing, starting to develop, developing as expected and developing very well. Result: After the ball relay game treatment was carried out, the number of undeveloped indicators decreased to 2 children (4.17%), the indicators starting to develop became 4 (8.33%), the indicators developed according to expectations, 24 children (50%), In the very well developed indicator, there was an increase of 18 (37.5%). Conclusion : The conclusion is that the implementation of this community service activity went well according to what was desired and what had been planned. This community service has a positive value for the Daarush-Shohaabah Cikoneng IT Kindergarten students. This can be seen from the enthusiasm and activeness of the participants in carrying out the ball relay game activities and the results of the observations carried out which have good values ​​for the motor skills of children at the Daarush-Shohaabah Cikoneng IT Kindergarten.

Evaluation Model of Human Resource Allocation Balance for Healthy Environment in Organizations Based on Big Data Driven and Internet of Things

Abstract To improve the ability of balanced evaluation, dynamic allocation, level of output, and profitability of human resources, a balanced evaluation model of human resources allocation is proposed based on big data driven and the Internet of Things. An evaluation architecture model of human resource allocation balance in view of big data driven and the Internet of Things is established; a multithread big data driven configuration model and the Internet of Things are used to construct a table model of enterprise human resource optimal allocation in the form of reports; statistical regression analysis method is used to detect the risks and process parameters in the process of enterprise human resource optimal allocation; and employment elasticity theory analysis is taken to establish a resource factor analysis model of human resource balanced allocation under the constraint of economic growth mode. According to the changing trend of the scale and structure of labor resources, statistical regression analysis is adopted to make big data driven analysis in the process of balanced evaluation of human resources allocation, and balanced game control is adopted to analyze the relevant factors affecting human resources allocation to realize balanced scheduling of population flow and human resources allocation and automatic post adjustment. The empirical analysis results show that the system has a good balance in human resource allocation, the output efficiency among the various elements of human resource allocation is improved, and there is a high level of efficiency in human resource output.

COACHING CLINIC OLAHRAGA TONNIS BAGI MAHASISWA STKIP MELAWI

This Community Service activity aims to introduce and deepen STKIP Melawi students' understanding of the game of tennis starting from equipment and other supporting equipment, playing techniques and game rules. This PkM is carried out on the basis of achievements for playing tonnis in Melawi Regency and there are very few seeds in the sport of playing tonnis because there are many obstacles in the formation of tennis players due to the lack of socialization and introduction to the community about tonnis. The benefit of this service is that STKIP Melawi students have a new reference for teaching small ball games in learning, besides that tennis can also be used in the educational curriculum at school.

Study on MOBA Game Players' Non-Functional Virtual Goods Consumption Motivation and Consumption Intention

The MOBA game genre is one of the most influential and largest consumer groups in the current online game market, and its source of income is mainly from the sale of non-functional virtual items, which are mainly used to beautify the game characters and enrich the sensory experience, also known as "skins", and are different from functional virtual items, which do not accelerate the progress of the game or disrupt the game balance. Unlike functional virtual items, these items do not speed up the progress of the game, nor do they upset the balance of the game. This paper explores players' motivation and willingness to consume these virtual goods through questionnaire surveys.

Retracted: Design of a Treatment Method for Patients with Anxiety Disorders Based on Ball Games and Digital Technology Assistance

Retracted: Design of a Treatment Method for Patients with Anxiety Disorders Based on Ball Games and Digital Technology Assistance

The pre-adoption characteristics of men in a community-based social initiative: who wants a game of ball?

ABSTRACT Amidst the growing focus on men’s health, physical activity (PA) initiatives have demonstrated efficacy in engaging men and providing opportunities to enhance wellbeing outcomes. It is important to capture the characteristics of male populations who attend these initiatives as it yields important implications in terms of reach, design and implementation. This paper presents the pre-adoption characteristics of participants at a site of Football Cooperative (FC), a community-based PA initiative in Ireland. The research sought to ascertain whether the participants involved were an at-risk group in terms of cardiovascular disease (CVD) risk factors (i.e. PA levels, waist circumference, aerobic fitness, diet, smoking, alcohol and sleep quality). Recruitment occurred before and during a return to play period, after a lowering of COVID-19 restrictions in May 2021. Purposeful sampling was used to recruit participants. Fitness and anthropometric data were collected, along with self-report survey data including demographics and wellbeing indicators. A total of n = 71 completed the self-report survey and were predominantly white Irish (95.8%) and married (84.6%). The majority (83.1%) of participants had ≥ 3 CVD risk factors where 66.1% had a waist circumference (WC) of ≥ 94 cm, indicating a high mortality risk. This research suggests that the gendered approach employed by the FC initiative engages a target demographic of at-risk males. While this demonstrates promise in terms of tackling CVD risk, further research that focuses on translating the initiative to engage men at risk of social and economic disadvantage is recommended to enhance the impact of the FC approach.

Research on the Application of Apriori Algorithm in the Teaching of Ball Sports Techniques and Tactics

To address the problem that technical and tactical aspects of ball games have a large impact on match-winning, association rules are used to mine and analyse the data. Item constraint terms are added to the original Apriori algorithm to reduce the generation of redundant data, and the operational efficiency of the improved association rules is improved with the aid of the GSA-PSO algorithm to give full play to the fast convergence advantage of the hybrid algorithm. The experimental results show that the algorithm proposed in the study is more convergent than the Apriori algorithm, and the former has fewer iterations on average in the single-peaked function; the overall search accuracy is significantly improved. The algorithm is also less disturbed by the dataset than the Apriori algorithm, with an average running time of 19.23s, 21.54s and 25.61s for dataset sizes of 200, 500 and 1000 respectively. The deviation rate between the predicted and actual coaching strategies was less than 5% and the scoring tolerance rate was between 0.04 and 0.10. It indicates that the algorithm proposed in the study can improve the efficiency of data analysis, which is conducive to the development of a perfect ball sport technical and tactical scheme and promote the stability of ball sport technical and tactical development.

The managerial skills in the game of roll ball: an indigenous game of India

The managerial skills in the game of roll ball: an indigenous game of India

Recent Patents on Pitching Machine

Abstract: With the improvement of living standards and the acceleration of the pace of modern life, people pay more and more attention to health. All kinds of ball games are deeply loved by people. Most people like to go to all kinds of equipment halls for all kinds of sports. However, at present, there are few types of service machines, and there is still a lot of room for development. With the development of ball games, small simple serve machine, as important equipment for modern entertainment and sports, has research projects in various countries and occupies a large market share. The purpose of this study is to synthesize the existing pitching mechanism, summarize and analyze the advantages and disadvantages of various pitching mechanisms from a large number of documents and patents, and solve some problems with the existing pitching machine. This paper summarizes various patents and the latest research progress on ball-pitching machines. From the mechanical structure of the pitching machine to the functions it can realize, the advantages and disadvantages of the serving machine are analyzed. By summarizing the characteristics of a large number of pitching mechanisms, this paper analyzes some problems existing in the pitching machine and looks forward to the research and design of the pitching machine. Combined with relevant mechanical technology, this paper refers to the patents related to various ball automatic mechanical pitching devices and draws valuable conclusions through the summary and comparison of these patents. Methods: This paper summarizes various patents and the latest research progress on ball-pitching machines. From the mechanical structure of the pitching machine to the functions it can realize, the advantages and disadvantages of the serving machine are analyzed.

Using Spatial Scan Statistics and Geographic Information Systems to Detect Monthly Human Mobility Clusters and Analyze Cluster Area Characteristics.

This study evaluated the detection of monthly human mobility clusters and characteristics of cluster areas before the coronavirus disease 2019 (COVID-19) outbreak using spatial epidemiological methods, namely, spatial scan statistics and geographic information systems (GIS). The research area covers approximately 10.3 km2, with a population of about 350,000 people. Analysis was conducted using open data, with the exception of one dataset. Human mobility and population data were used on a 1-km mesh scale, and business location data were used to examine the area characteristics. Data from January to December 2019 were utilized to detect human mobility clusters before the COVID-19 pandemic. Spatial scan statistics were performed using SaTScan to calculate relative risk (RR). The detected clusters and other data were visualized in QGIS to explore the features of the cluster areas. Spatial scan statistics identified 33 clusters. The detailed analysis focused on clusters with an RR exceeding 1.5. Meshes with an RR over 1.5 included one with clusters for 1 year which is identified in all months of the year, one with clusters for 9 months, three with clusters for 6 months, three with clusters for 3 months, and four with clusters for 1 month. September had the highest number of clusters (eight), followed by April and November (seven each). The remaining months had five or six clusters. Characteristically, the cluster areas included the vicinity of railway stations, densely populated business areas, ball game fields, and large-scale construction sites. Statistical analysis of human mobility clusters using open data and open-source tools is crucial for the advancement of evidence-based policymaking based on scientific facts, not only for novel infectious diseases but also for existing ones, such as influenza.

Game Theory and Game Mechanics Design

This paper focuses on the significance of game balance in games and explores the application of game theory concepts for designing and analyzing balanced gameplay. When analyzing instances of games, the paper initially presents the renowned prisoner’s dilemma, a prominent problem in game theory, and delves into diverse strategies along with their corresponding advantages, thereby enabling readers to appreciate the captivating essence of game theory. After that, the paper respectively mentions two individual cases from two different forms of games. The well-known game Rock-Paper-Scissors is a simple strategy game. FPS (First Person Shooter) game is a sort of video game that is a complex strategy game. In analyzing this type of game, the paper draws images to show the imbalance in the game. In the end, the article puts forward the prospect that game theory can contribute to game design. The approach adopted in this study integrates existing research in game theory with practical insights from game design, without delving into extensive theoretical derivations or complex formulas.