The Effects of Artificial Intelligence on Competitive Sports

This Research thesis is to explore the application and impact of artificial intelligence in the field of competitive sports, discover the risks and problems in it, and discuss solutions. Nowadays, artificial intelligence has been applied to all walks of life, and the field of competitive sports is no exception, such as VR video technology, artificial intelligence for competition and player data analysis, artificial intelligence equipment to help players train, artificial intelligence to develop tactics, etc. But artificial intelligence has also brought about problems such as disrupting game viewing, making intellectual competitive sports meaningless, and threatening the status of industry practitioners. Many people worry that artificial intelligence will bring many uneliminated negative effects to competitive sports, but this is not the case. By referring to news and literature, conducting online questionnaires and interviews with industry practitioners, after discussion and analysis, conclusions were reached. Artificial intelligence has brought innovation and influence on the competitive sports industry. The positive impact it brings far exceeds the risks and problems. At the same time, these negative problems can be solved by artificial control. The application of artificial intelligence will continue to deepen in the competitive sports industry and promote the better development of competitive sports

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Self-Medication Behaviors of Chinese Residents and Consideration Related to Drug Prices and Medical Insurance Reimbursement When Self-Medicating: A Cross-Sectional Study

Background: Self-medication has become a common phenomenon. Economic factors are important factors that affect the self-medication of residents. This study aimed to investigate the current status of self-medication behaviors in China and explored the related factors affecting considerations associated with medical insurance reimbursement or drug price in self-medication. Methods: A national cross-sectional investigation was conducted among Chinese people over 18 years old under a multi-stage sampling method through a questionnaire, which includes demographic sociological characteristics, self-medication behaviors and scales. The Chi-square test was used to analyze whether the respondents consider medical insurance reimbursement or drug price as an important factor when purchasing over-the-counter (OTC) drugs. Logistic regression was used to examine the associated factors of considering medical insurance reimbursement or drug price. Results: In total, 9256 respondents were included in this study; 37.52% of the respondents regarded drug prices as an important consideration, and 28.53% of the respondents attached great importance to medical insurance reimbursement. Elderly respondents who lived in the central region, had medical insurance, and had lower levels of health literacy were more likely to consider the medical insurance reimbursement, while respondents with high monthly family income as well as students were less likely to consider the same issue (p < 0.05). Respondents settled in the central and western regions, students, those without fixed occupations, those who suffered from chronic diseases, or those with lower health literacy were more likely to consider drug prices, while the respondents with bachelor degrees, urban population and high per capita monthly income were less likely to consider the drug prices (p < 0.05). Conclusion: Self-medication behaviors with OTC drugs were prevalent in China, and consideration factors of medical insurance reimbursement or drug prices were related to socio-demographic characteristics and health literacy. There is a need to take measures to reduce the economic burden of self-medication, improve the health literacy of residents and strengthen public health education

Using the Unified Theory of Acceptance and Use of Technology (UTAUT) and e-health literacy(e-HL) to investigate the tobacco control intentions and behaviors of non-smoking college students in China: a cross-sectional investigation

Abstract Background Non-smoking college students are starting to smoke in increasing numbers, which shows that their tobacco control situation seems not optimistic. The UTAUT and e-HL are commonly used models and theories to predict health behaviors, while there are few studies on tobacco control. This paper aims to study the influencing factors of tobacco control intention and behavior of non-smoking college students in China by combining the UTAUT and e-HL. Methods Based on the stratified sampling method, 625 college students from 12 universities were selected. Data were collected using a self-made questionnaire designed based on the UTAUT and e-health literacy scales. Data were analyzed by SPSS 22 and AMOS 26, including descriptive statistics, one-way variance analysis and structural equation model analysis. Results The results of one-way variance analysis showed that there were significant differences in the score of non-smoking college students’ tobacco control intention or behavior by hometowns, monthly living expenses, and parents' smoking history. Performance expectancy, effort expectancy, social influence had direct positive effects on behavioral intention. Facilitating condition, behavioral intention had direct positive impacts on use behavior and e-HL had an indirect positive impact on use behavior. Conclusions The combination of the UTAUT and e-HL can be used as an appropriate framework to predict the influencing factors of non-smoking college students' intention and behavior of tobacco control. Improving performance expectancy, effort expectancy, and e-HL among non-smoking college students, creating positive social environments, and providing facilitating condition are key aspects of increasing their tobacco control intention and behavior. It is also beneficial to promote the implementation of smoke-free campus and smoke-free family projects

Exploring factors that influence the behavioural intention of medical students to use 3D gastroscopic model to learn how to operate gastroscope using UTAUT Model

Abstract Background The application of virtual reality (VR) in gastroscopic operation teaching can be safe and effective, but the advantages can be realized only when students accept and use it. This study aims to identify the factors influencing Chinese clinical medical postgraduates on their intention to use the 3D gastroscopic model constructed based on VR technology using Unified Theory of Acceptance and Use of Technology (UTAUT) model. Students’ demographic factors are also taken into consideration. Methods All methods were carried out in accordance with relevant guidelines. Data were collected from clinical medical postgraduates students in China using stratified sampling. A total of 292 questionnaires including valid responses were used in this study. Data were processed using Amos 24.0 and SPSS 26.0 software and the statistical analysis technique was based on structural equation modeling (SEM). Results The results showed that different from the mediator of home location and year of clinical learning, mediator of gender, university kind and graduate degree did not affect the behavioral intention. In addition, performance expectancy, facilitating condition, and social influence directly and indirectly have effect on behavioral intention. Also, the significance between social influence and performance expectancy, social influence and effort expectancy were verified. Conclusions This study manifested that the proposed framework based on the UTAUT had explanatory power to identify the factors influencing the students’ behavioral intention to use the 3D gastroscopic model constructed based on VR technology. Whereas, an important variable of effort expectancy in the frame of the SEM were not certified, thereby indicating that particular attention should be paid to this variable by universities and teachers before applying 3D gastroscopic model constructed based on VR technology in teaching. Added preparatory work is required such as explaining the basic knowledge of the operating steps of VR model and make students adequately understand its accessibility, which can probably improve the intentions of them to use it. The positive effects of social influence on performance expectancy and effort expectancy we proposed was also verified in this study, which provided a direction for future research