bluuebunny/crossref_metadata_2025 huggingface dataset:
The correlates of coach leadership behavior and athlete competence motivation towards a sports mentoring program
Authors: Wu Baoyuan
Published: July 2024

This study assessed the factors associated with coach leadership behavior and athlete competence motivation, focusing specifically on Chengdu Sport University. The ultimate goal was to suggest a sports mentoring program based on the findings of the study. The respondents of the study were 152 student-athletes engaged in leisure sports and martial arts at Chengdu Sport University, encompassing disciplines such as sport climbing, ice hockey, judo, taekwondo, wushu routine, wushu sanda, martial art qigong, dragon and lion dance, cheer dance, and dance. Based on the conclusions derived in this study, the following are the recommendations: Sports organizations should prioritize diversity and inclusivity to accommodate all student athletes, regardless of age or gender. Emphasize diverse leadership styles, including training and teaching methods, and teach coaches to balance authoritarian and democratic systems. Coaches should aim for consistency and adaptability in their coaching methods to suit varying demands. Programs should focus on increasing competence motivation among student athletes, particularly in cognitive and social dimensions. Comprehensive athlete development programs should cater to both male and female athletes. Coaches should demonstrate leadership qualities, including good training, social support, and constructive criticism. Schools should develop a coach leadership development program to improve coaching effectiveness and overall well-being.
Study on the Optimization of Bilibili's Business Model —— Based on the Business Model Canvas
Authors: Huang Zike
Published: July 2024

With the booming development of the Internet industry and the comprehensive coverage of 4G and 5G networks, the Internet tide is gradually changing people's daily habits, and online video has been deeply integrated into people's daily life entertainment. Each major video website has its own characteristics and unique business model, and Bilibili has created a unique profit model in this field, constructed a unique community culture, and achieved wide recognition in the market. Bilibili, with its focus on PUGC (professional user-generated content) videos and a strong community atmosphere, is a unique video community. As a listed niche video website, Bilibili is popular among young people in terms of pan-ACG culture. Using the business model canvas as a framework, combined with SWOT analysis and Porter's Five Forces analysis, this paper explores Bilibili's business model with the aim of providing useful references for the healthy and sustainable development of China's digital content service industry, and promoting the industry's continuous innovation and progress. This is not only an in-depth study of Bilibili's business model, but also a deep reflection on the development trend of the whole industry, which will draw a richer and more sustainable development blueprint for the future digital entertainment era.
Research on the "Right of Retraction" Of the Transferee Shareholders in The Process of Equity Transfer of a Limited Liability Company
Authors: Yao Suqing
Published: July 2024

Among the rights and obligations of the shareholders of limited liability company, the interleaving of the shareholders' preemption right and the shareholders' transfer right of repentance has aroused extensive attention and discussion. This paper discusses the legal basis of these rights and their practical application in corporate governance. By analyzing the scope of application of Article 20 of the Fourth Judicial Interpretation of the Company Law and the imperfection of the liability mechanism for damages, this paper reveals the existing problems under the current legal framework and puts forward relevant legal and practical suggestions. These studies provide theoretical support and practical guidance for improving the equity trading system of limited liability companies.
Development Status and Prospects of China's New Energy Force Based on Xpeng, NIO, and Li
Authors: Pang Bo
Published: July 2024

In the current environment of increasing competition in China's new energy vehicle market, this paper selects three of the representative domestic new energy vehicle enterprises for research, through the analysis of their product characteristics and operating conditions, reveals the main problems encountered in the operation process of new energy vehicles, and puts forward suggestions and prospects for the future development. For products, this paper compares the main products of these three companies in detail and analyzes their advantages and disadvantages. Based on the market sales situation, this paper proposes targeted improvement suggestions, such as adjusting the model price to attract more consumers, optimizing the interior space layout to improve comfort, and strengthening the research and development of intelligent driving technology to enhance competitiveness. Secondly, from the financial point of view, this paper analyzes the financial status of these three enterprises. By analyzing key indicators such as income, liquidity level, solvency and cash retention, this paper finds that some enterprises have certain problems in financial management. In response to these problems, this paper puts forward corresponding improvement suggestions, such as optimizing capital management to improve liquidity level, strengthening cost control to improve profitability, and increasing cash retention to enhance solvency. This paper believes that China's new energy vehicle market still has huge development potential in the future. To seize market opportunities and meet challenges, new energy vehicle companies need to continuously optimize product design and improve product quality, while strengthening financial management and risk control.
Layanan Bimbingan Pranikah untuk Meningkatkan Kesiapan Calon Pengantin
Authors: Aini Nurul , Hotimah Nur , Jalaluddin Moh. , Rosita Eva , Muzayin Azis
Published: July 2024

One of the contributing factors to divorce is the lack of mental preparedness in dealing with the complexity of marital issues that were not previously discussed by prospective spouses, coupled with inadequate preparation for marriage. This study aims to evaluate the effectiveness of premarital counseling and assess the readiness of prospective spouses after participating in such counseling. The research employs a qualitative descriptive method, focusing on text-based data analysis. Conducted at the Office of Religious Affairs (KUA) in Batumarmar with prospective spouses as subjects, data collection techniques include observation, interviews, and documentation, validated through triangulation. Findings indicate that premarital counseling at KUA Batumarmar is crucial in preparing prospective spouses for marital life. They demonstrate mature mental readiness for marriage, a strong understanding of religious values, mutual support commitment, and social and financial preparedness for a sustainable and happy family life.
Implementasi Standart Kompetensi Penyuluh dalam Meningkatkan Kinerja Penyuluh Agama
Authors: Wanto Wanto , Jannah S. Fatiyathul , Yanto Yanto , Sunandar Dadan
Published: July 2024

This research aims to explore the importance of technical, managerial, and cultural competencies of religious counselors to enhance performance at the Office of Religious Affairs in Batumarmar Pamekasan. The role of counselors is crucial in effectively delivering religious teachings to a diverse audience with varying knowledge backgrounds and characteristics. This study adopts a descriptive research design with a qualitative approach. Data collection methods include observation, interviews, and documentation from key informants, primary informants (counselors), and supporting informants (counselors). The findings indicate that implementing technical competencies among religious counselors at the Office of Religious Affairs in Batumarmar Pamekasan aims to systematically and effectively improve their performance through deep understanding of Islamic teachings, effective communication skills, and counseling abilities. Creativity in teaching methods is essential for outreach to Muslim communities in rural and urban areas. Managerial competencies encompass activity planning, event organization, and evaluation of outreach programs to assess success. Leadership supports moral guidance, time management, and technological proficiency for task efficiency. Social-cultural competencies strengthen harmonious relations with diverse communities, promote tolerance, openness, and cultural values in religious duties.
A Case Study of Yantai Community, a China-Korea Friendship Community Based on Embedded Structure
Authors: Dang Jingjing
Published: July 2024

Based on the theory of "embedding structure", that is, "promoting the integration of various ethnic groups, fully considering the actual situation of different ethnic groups and regions, giving priority to the layout planning of urban and rural construction and the allocation of public service resources, improving measures and policies, creating an environmental atmosphere, and gradually realizing all-round embedding of all ethnic groups in spatial, cultural, economic, social, psychological and other aspects", to change the friendly community between China and South Korea. This paper analyzes how to improve and improve the mutual embeddedness of multi-ethnic and multi-ethnic friendly communities, so as to improve residents' life experience and participation awareness, and designs a friendly community system under the mutual embedding structure from multiple perspectives and directions such as culture, life and psychology. In view of the problems of language communication difficulties, imperfect service facilities, and mixed population attributes, this paper adopts the methods of constructing international standards and installing sustainable green recycling devices from the perspectives of social community organizations, governments, and individuals.
Brand Resonance: Exploring How Lululemon Shapes Female Consumer Purchasing Behavior and Brand Attitudes Through Advertising and Market Communication Strategies
Authors: Zhu Ziheng
Published: July 2024

This essay examines the strategic marketing and advertising tactics used by Lululemon to appeal to and keep a certain group of female customers, which helps the company maintain its market-leading position in the premium sportswear industry. It explores the background of the brand, the target market, its place in the industry, and the development of its advertising tactics. The study demonstrates how Lululemon affects female consumers' behavior, attitudes, and brand loyalty through smart channel selection, innovative advertising, and community-focused marketing. Lululemon successfully creates a welcoming brand community by using different models into their advertisements, utilizing physical and digital media for broad reach, and fostering community development through ambassador programs. Furthermore, the study looks at how various marketing tactics affect consumer choice and brand advocacy, with a focus on how digital platforms might improve customer happiness and connection. This research offers insights into effective marketing strategies in todays competitive retail scene through a thorough investigation of Lululemon's approach to marketing in various cultural contexts, with a focus on inclusion and personal growth. According to the research, Lululemon should continue utilizing technical advancements in product creation and digital marketing while also tailoring its business practices to local tastes in order to maintain long-term success on a worldwide scale.
The Influence of Mindfulness Practice on an Individuals Mental Health
Authors: Zheng Yu
Published: July 2024

Given the growing popularity of mental health, an increasing number of individuals are seeking methods to prioritize techniques and interventions that may improve mental well-being. Mindfulness-based therapies are considered one of the most effective ways in this context. This research analyses the influence of mindfulness-based therapies (MBTs) on individual mental health, emphasizing the efficacy of MBTs in decreasing psychological disorders and enhancing emotional control in different populations. There are two major investigations will be examined in detail: one focusing on teachers and the other on upper primary school children. It demonstrates the significant and immediate impact of MBTs, including mindfulness-based stress reduction (MBSR) and mindfulness-based cognitive therapy (MBCT). Furthermore, this study highlights the existence of research deficiencies, including the requirement for longitudinal studies to evaluate the long-term function of MBTs. The results emphasize the broad applicability and effectiveness of MBTs in many educational and professional contexts and recommend for broader adoption of MBTs to enhance mental health.
The Effect of Game Teaching Method on Chinese Students' Anxiety about English Learning
Authors: Shu Xiulan
Published: July 2024

Nowadays, many students feel anxiety and even have strong resistance to English learning. This anxiety not only makes them afraid of English learning, leads to a decline in academic performance, but also hurts their physical and mental health. In addition, this kind of learning anxiety also extends to students' interpersonal skills. Some scholars believe that two main factors cause anxiety: factors related to the learner's personality, such as the strength of the learner's self-esteem, the degree of psychological tolerance, the clarity of self-definition, etc.; factors related to the learner's outside world, such as, if a learner does not have a sense of identity with the surrounding learners, the degree of anxiety is often Very high; the form and content of communication between teachers and learners may induce learners' anxiety. In response to the above problems, this article is committed to widely collecting papers and monographs on the application of game teaching methods in English education at home and abroad through in-depth literature analysis, and carefully read the relevant research results. The purpose is to build a practical game teaching strategy to help Chinese students improve their self-confidence, so as to effectively reduce their anxiety about English learning. Based on this research goal, this article will carry out systematic writing to provide valuable reference for the innovation of English education.
Background of the Creation of East Asian Pop-culture and Its Global Impact: A Case Study on Japanese Anime's Origins and Its Influence on Japan's Soft Power Disclosure
Authors: Pan Yujing
Published: July 2024

In today's era of globalisation, East Asian popular culture has increasingly become an international craze that has garnered soft power disclosure for China, Japan, and Korea. Among them, Japan was the earliest to wield cultural soft power to gain significant benefits, namely through its anime industry, setting the example for China and Korea. Not only did Japan accumulate huge economic benefits through anime, but the soft power it gained through culture dissemination critically allowed Japan to reshape its national image in the western world and even across Asia,, where Japanese wartime aggression had remained an unsolved political issue over decades. This paper hopes to study the emergence, development and reception of Japanese anime and its impact on Japans international soft power disclosure, serving as a model for the current development of other East Asian popular cultures.
Minor Gambling Poses Potential Risks to Adolescent Development
Authors: Wu Ningbing
Published: July 2024

In recent years, the prevalence of gambling behavior among adolescents and the increasing trend of problem gambling has been supported by evidence in various countries. Therefore, the following literature content will integrate a variety of past research evidence to explore the question of whether minor gambling behavior brings potential risks to adolescent growth. However, most research data indicated that adolescents have psychological characteristics such as impulsivity and weak emotional regulation abilities, which make them more susceptible to external factors and increase the individual's risk of problem gambling. According to different gambling severity levels, which could divided into four stages- non-problematic gambling, at-risk gambling, problem gambling, and pathological gambling. It is worth noting that the potential risks brought by gambling behavior among minors include cognitive biases behavior, psychological issues, indirect substance use, disharmony in family and social relationships, termination of academic schooling, and even participation in criminal or illegal activities. Since the potential risks brought by minor gambling will hinder their personal development in different aspects, schools and society should implement effective measures to help weaken teenagers' gambling intentions and prevent teenagers from developing serious level problem gambling. In addition to predicting adolescents' participation in gambling activities in advance through measures such as cognitive therapy, from an intervention perspective, effective strategies need to pay more attention to the minors themselves and their external environmental background.
Effect of Different Chatbot Features on Customer Satisfaction in E-commerce
Authors: Ding Jiangmeng , Wang Xing , Chen Xiang , Li Mingze
Published: July 2024

By incorporating additional questions related to chatbots, we construct a questionnaire inspired by the work of previous researchers. This questionnaire aims to assess the relationship between various chatbot attributes, including usability, language style, and response time, and customer satisfaction within the e-commerce sector. To mitigate issues of multicollinearity and optimize the number of variables within a multiple linear regression model, we employ LASSO regression. Upon conducting hypothesis testing, our findings manifest a positive correlation between the overall chatbot features and customer satisfaction index. Specifically, an increase in the levels of language style and usability is consistent with increased levels of customer satisfaction, with language style exerting a larger effect.
Analysis of the Marketing Strategies of Luckin Coffee to Get Rid of the Financial Fraud
Authors: Lin Jiaye , Lin Junzhao
Published: July 2024

In today's society, the market competition is very fierce, a variety of products and services emerge endlessly. Without a good business strategy, companies will be at a disadvantage in the competition and even go bankrupt. In the increasingly competitive market, some companies wrongly take some improper practices to address their situation, such as financial fraud, referring to the act of dishonestly obtaining money or assets by fraudulent means. It involves false information, misrepresentation, or concealment of facts for financial gain. If a company commits financial fraud, it will be forced out of the market and its reputation will be greatly reduced. We first conduct a SWOT analysis to evaluate the company's internal and external strengths and weaknesses. Subsequently, we assess the measures implemented by Luckin Coffee in response to the analysis. Thirdly, we validate the effectiveness of these measures using financial statement data. Ultimately, we draw some conclusions for other companies in mitigating financial fraud.
Analysis on the New Energy Transformation of Traditional Automobile Enterprises Taking Mercedes-Benz, BMW and Audi as Examples
Authors: Cai Dayi
Published: July 2024

Under the background of the global "carbon neutral" process, new energy vehicles have become the main development target. The transformation of many traditional fuel car companies has also pushed forward the development of new energy. This paper takes the three giants of traditional car companies - Mercedes Benz, BMW, and Audi as an example. Firstly, we conduct a SWOT analysis and find that the problem of lagging behind in technology and experience internally, as well as the threat from many new energy vehicle companies. Secondly, we analyse the dilemma faced by traditional car companies in terms of global sales and vehicle production capacity in new energy technologies. Their actions will serve as a reference for all traditional automobile companies looking to transition to new energy sources.
Relationship Between Rent and the Overall Economy in 21st Century California
Authors: Wan Haozhe
Published: July 2024

The primary purpose of this study is to probe the relationship between rent and economy and of the 21st-century California. The findings show a significant relationship between GDP and rent prices, underscoring the importance of economic prosperity in shaping the housing market. However, there were no statistically significant correlations between rent prices and the inflation rate (IR), vacancy rate (VR), or population growth (P). These findings emphasize the particular features of California's housing market, highlighting the need for specific policy interventions. This study adds to our understanding of the complex interplay between economic conditions and housing affordability, providing insights for policymakers and future localized investigations.
Analyzing the Marketing Strategy of Pop Mart in Overseas Market
Authors: Zhai Ran
Published: July 2024

The rapid expansion of the Internet and the widespread spread of global businesses have both
contributed to Pop Mart's decision to expand its operations into international markets. Using
Pop Mart's current development state as a foundation, this research explores the possibilities
for the company's future expansion and improved market position in international markets. This
study fills a previously existing gap in scholarly research about Pop Mart's foreign marketing
strategies. According to the findings of the study, Pop Mart possesses substantial potential for
expansion in international markets. Pop Mart can leverage this potential by implementing three
crucial strategies: understanding consumer psychology, prioritizing product design and
innovation, and enhancing the brand's digital media promotion. In order to provide Pop Mart with
important insights for its future expansion in the worldwide market, this research analyzes and
makes recommendations based on three aspects that are considered to be of fundamental
importance. The purpose of this study is to provide an objective analysis that helps connect
researchers and scholars interested in analyzing the international market for Pop Mart.
Analyses the Strategies for Sustained Membership Growth in Post-COVID-19 China
Authors: Bin Longxuan
Published: July 2024

China's domestic retail industry has been adversely affected by the recent coronavirus
pandemic for the past two years. Nevertheless, following the containment of the outbreak, the
general condition has ameliorated. The objective of this paper was to examine the factors
contributing to the growth of Sam's Club stores in China following the conclusion of the
COVID-19 pandemic. Additionally, the paper aims to propose systematic strategies to enhance
customer turnout at Sam's Club and other retail establishments in China. This study employed a
case study methodology to examine the aspects that could potentially contribute to the expected
growth of Sam's Club between 2022 and 2023. The conclusion section of this article analyzes the
determinants that impact the sustainable development of Sam's Club. The study included
suggestions on how Sam's Club and the Chinese retail industry may adapt in order to sustain the
growth of their membership numbers in the near future.
Risk Factors of Mariculture Supply Chain Based on Green Development: A Case Study of Changhai
County in China
Authors: Sun Yingqi
Published: July 2024

China is a global leader in aquaculture, and mariculture has become an important part of
Chinese agriculture and one of the important growth points of the rural economy. However,
environmental changes and industrial restructuring have brought new risks to the aquaculture
supply chain. Recently, people have also paid more and more attention to the marine environment
because a good marine environment is the foundation of the healthy development of mariculture.
This study analyses the risks in the aquaculture supply chain from the perspective of the marine
environment, using Changhai County, Liaoning Province, as an example. The study identified
marine environmental issues such as over-sized aquaculture, irrational aquaculture structure,
resource integration gaps, nuclear wastewater discharge and offshore oil pollution.
Recommendations included restructuring aquaculture, professional training, establishing
cooperative mechanisms, and improving seafood quality testing and marine environment monitoring.
Addressing these challenges is essential to ensure the stable and healthy development of seafood
markets and the sustainability of the aquaculture industry.
Research on credit risk assessment optimization based on machine learning
Authors: Zhang Xuyang , Xu Lidong , Li Ningxin , Zou Jianke
Published: July 2024

Credit business is a vital part of the bank's core business, which has an extremely important impact on the bank's income and development. In the operation of credit business, credit risk assessment is particularly crucial, and accurate risk assessment can minimize risks while maximizing the bank's returns. We propose a method to optimize credit risk assessment using machine learning techniques. In this work, we employ a random forest machine learning model to process and analyze large amounts of loan application data. By using correlation analysis, information enrichment, etc., the characteristics that have the most impact on credit risk assessment are screened. Subsequently, the model was constructed using a random forest algorithm. Random forests improve the generalization ability and accuracy of the model by building multiple decision trees and introducing randomness between these trees. In the experimental analysis part, we compare the performance of various models on the German credit dataset, and the results show that the deep learning model outperforms the traditional machine learning model in most indicators, verifying the effectiveness of our method.
Research on international trade logistics prediction based on back propagation neural network
Authors: Yuan Feng
Published: July 2024

The development of international trade depends to a large extent on the progress of international logistics. However, international logistics cannot exist independently of international trade. Without goods provided by international trade, international logistics loses its foundation. Therefore, in order to accurately assess the demand for international logistics, it is necessary to have a detailed understanding of the development of international trade and to predict its future trends accordingly. In this work, we utilize backpropagation neural networks to predict trends and needs in international trade logistics. Specifically, we build a multi-layer perceptron model, which selects a variety of input variables such as goods circulation, economic indicators, trade policies, and seasonal factors. By training this model, it is possible to effectively learn and capture the complex relationships that affect international trade logistics from historical data. In the experimental analysis, the model has been repeatedly trained and adjusted, and finally demonstrated high accuracy and reliability.
Advantages and development prospects of DPSK digital modulation
Authors: Liang Jiaming , You Yuming , Ma Ruoheng , Gao Mingyuan
Published: July 2024

In modern communication technology, people have higher and higher requirements for communication quality because the data transmission based on digital signal is better than the transmission of analog signal, so the transmission of digital signal becomes more and more important. DPSK, as an intermediate mode of digital modulation, has the advantages of high bandwidth utilization, low bit error rate and easier implementation, and has been widely concerned by people. This paper will compare DPSK with other digital modulation, analyze the advantages of DPSK and predict the future development prospects of DPSK.
Label noise learning with the combination of CausalNL and CGAN models
Authors: Gou Zixing , Sun Yifan , Jin Zhebin , Hu Hanqiu , Xia Weiyi
Published: July 2024

Since Deep Neural Networks easily overfit label errors, which will degenerate the performance of Deep Learning algorithms, recent research gives a lot of methodology for this problem. A recent model, causalNL, uses a structural causalNL model for instance-dependent label-noise learning and obtained excellent experimental results. The implementation of the algorithm is based on the VAE model, which encodes latent variables Y and Z with the observable variables X and Y. This in turn generates the transfer matrix. But it relies on some unreasonable assumptions. In this paper, we introduce CGAN to the causalNL model, which avoids setting P(Y) and P(Z) for a specific distribution. GANs ability of processing data do not need to set a specific distribution. ICC was validated on several authoritative datasets and compared to a variety of proven algorithms including causalNL. The paper presents notable findings on the ICC model (Introduce CGAN to causalNL) shows excellent training ability on most datasets. Surprisingly, ICC shows totally higher accuracy than causalNL in CIFAR10.
A review of decision-making frameworks for autonomous vehicles
Authors: Guo Zewen
Published: July 2024

This review has discussed framework of the decision making in automatic vehicles which is rarely adopted in current researches. Autonomous driving, a step forward in assisted driving technology and the rapid advancement of automotive electronics, has become an essential means to address traffic issues in the future. This area has been a major focus for research on technology worldwide. The history of human transportation has been significantly altered by autonomous driving in recent years. This paper will concisely outline the evolution of this technology and its associated components. On this basis, this paper also reviews the development in different sorts of decision making. It also analyses characteristics, as well as their advantages and disadvantages of some typical application among the different decision making. Summarizing the current predicaments of automated driving, this paper looks to what lies ahead for autonomous driving technology's future development.
Credit risk unveiled: Decision trees triumph in comparative machine learning study
Authors: Wu Chenxi
Published: July 2024

As times go on, credit risk has become a widespread issue across society, especially after the 2008 global financial crisis. However, the traditional financial technique could not determine the possibility of people defaulting, causing credit problems. With the rapid development of the Artificial Intelligence field, this could not be the problem. In this paper, several methods, including the Support Vector Machine model (SVM), K-Nearest Neighbors model (KNN) and Decision Tree model (DTs) are implemented using machine learning to try to predict the credit risk accurately and compare the accuracy of the three different methods. As a result, the Decision Trees show the highest result in these three methods.
“What are we doing here?”: Reflections on developing a transcultural “Road Map” for global menstrual hygiene management
Authors: Bigalky Jodie , Mackey April , Namathanga Annie , Petrucka Pammla
Published: July 2024

Introduction: Globally, reproductive aged girls and women experience personal and social barriers to access the simplest of supplies or menstrual friendly hygiene facilities, exclusion from full participation, and even violation of their human rights, simply because they are experiencing the biological event of menstruation. In Malawi, Africa specifically, the management of menstruation is a challenge for girls and women. This paper examines the process of developing a menstrual hygiene friendly facilities tool for the Malawian context.Methods: Autobiographical narrative inquiry was used for this research. Chronological annals, personal communications, draft tool development documents, journals, text messages, photos, and mementos were used to co-construct an experiential narrative.Results: Four threads that shaped the process of this nursing research collaboration were identified through the creation of the narrative as follows: (1) feeling vulnerable, (2) our realization, (3) building collaborative relationships, and (4) revisiting the product of the research.Conclusions: Three implications for global transcultural nursing practice emerged from this research: (1) collaborative partnerships, (2) cultural adaptions of interventions, and (3) continuous learning and reflection. These implications can be used to guide future international nursing research.
Ինքնասպանությունների ուսումնասիրությունը հոգեկան առողջության խանգարում ունեցող անձանց շրջանում
Authors: Բիշարյան Մ. Ս. , Դալլաքյան Ա. Բ.
Published: July 2024

Данная статья посвящена самоубийствам, которые совершаются людьми с психическими расстройствами. В работе представлен обзор трудов современных авторов, которые рассматривали различные аспекты данной проблемы. В статье изложено исследование самоубийств в Республике Армения. Объектом исследования явились данные о суицидах в РА за 2011-2020 годы. Приведены статистические данные самоубийств в целом и среди людей с психическими расстройствами. Аналогичные исследования в дальнейшем помогут в разработке методик, эффективных профилактических работ, направленных на предупреждение самоубийств.
This article is devoted to suicides that occur among people with mental disorders. The paper presents an overview of the works of modern authors who have considered aspects of this problem. The article presents a study of suicides in the Republic of Armenia. The object of the study was data on suicides in the Republic of Armenia for 2011-2020. Statistical data on suicides in general and among people with mental disorders are presented. Similar studies will further help in the development of methods of effective preventive work aimed at preventing suicide.
Research on Intelligent Vehicle Control based on PID Algorithm
Authors: Zhang Yuhang
Published: July 2024

With the development of autonomous driving technology, the design and optimization of intelligent vehicle control systems have become a hot topic of research. This paper mainly studies an intelligent vehicle control system based on the improved PID algorithm, especially the application of fuzzy PID control strategy. In view of the limitations of traditional PID control in dealing with actual road conditions, this paper proposes a new type of fuzzy PID control strategy. By using fuzzy logic to optimize the PID parameters in real time, the performance and robustness of the intelligent vehicle control system are improved. The research work includes theoretical analysis, simulation experiments, and result analysis, which verify the obvious advantages of fuzzy PID control in response speed, control accuracy, and robustness compared with traditional PID control. In addition, this paper also provides a system performance evaluation framework, laying a foundation for further research and practical application of intelligent vehicle control systems. Despite certain research results, there are still some limitations, such as the difference between simulation experiments and actual road tests, and the empirical issues of parameter tuning. Future work will focus on optimizing parameters based on data-driven methods, as well as testing and verification on real vehicles.
Prediction model of basketball players' playing time based on neural network
Authors: Wang Kai , Qin Chaoling
Published: July 2024

The purpose of this study is to predict the playing time of CBA league players through neural network model, and to explore the key factors affecting the playing time from the perspective of quantitative analysis, so as to provide data support for coaches to make decisions on arranging players to play. This paper selects 7340 items of average data of 367 players in CBA league in the regular season of 2021-2022 as the research object. In model training, other data indexes except playing time are used as input parameters, playing time is used as output variable, and automatic encoder is added to screen key data indexes, thus establishing playing time prediction model. The results show that five models and a total data model are established according to the players' positions on the field (point guard, shooting guard, small forward, power forward and center), and the highest value of the average error (MER) is 1.56 and the lowest value is 1.42. R2 is 0.785 at the highest and 0.726 at the lowest. The results show that the data indexes that affect playing time are position-specific, and the models established for different positions have high prediction ability for players' playing time. The average error of the total data model is the best, while the explanatory ability (R2) of the small forward model data is the best, which proves that each model can provide data support for coaches' decision-making.
Effect of Plant Root Secretions on Soil Microorganisms and Seed Germination
Authors: Xia Liheng , Wang Kun
Published: July 2024

Root Exudate (RX) is a general term for a series of complex organic substances that are released by plants through the root system into the inter-root soil as part of their photosynthetic products and their own nutrients under certain soil conditions. Root exudate mainly comes from the accumulation of photosynthesis and the decomposition and absorption of nutrients carried out by plants, accounting for about 5% to 30% of photosynthetic products. Its secretion process to the soil is mainly divided into two ways, the first is through the concentration gradient between the plant root cells and the soil solution, and the secretion is passively released to the soil along the concentration gradient; the other is actively secreted by the plant body under various kinds of stresses (drought stress, heavy metal stress) and interactions with the inter-root microorganisms. The number, type and amount of root secretions are influenced by many factors (mycorrhiza formation, soil organic matter content and temperature).
Research on the Dilemma and Countermeasures of Occupational Injury Protection for Employees in New Business Formats
Authors: Cai Runyue , Lv Hong
Published: July 2024

With the continuous increase in the number of employees in new business formats, the lack of occupational injury protection for this group has become increasingly apparent. The employment relationship of employees in new business formats is special, and there are obstacles to participating in work-related injury insurance. They cannot receive timely relief after occupational injuries occur, which is contrary to social fairness. On this basis, this article analyzes the problems in occupational injury protection for employees in new formats, and proposes the construction of a multidimensional occupational injury protection system for employees in new formats.
On the Application of Discourse Cohesion Theory to English Reading Teaching in Senior High School
Authors: Zhou Yongling
Published: July 2024

Improving students’ reading ability has always been an important goal of English teaching in senior high school. However, English reading teaching nowadays has simply focused on translation, grammar, pronunciation and vocabulary. Discourse analysis that is more important for students to improve reading ability, has received surprisingly little attention. Cohesion theory initially proposed by Halliday and Hasan is an important part of discourse analysis. The dozens of studies on cohesion theory carried out over the past 40 years have mostly focused on the theory research, while the practical application to English teaching and its strategies have been much ignored. In the research of English teaching, most people pay more attention to the application of cohesion theory to English writing, translation, and reading teaching in college, but neglect the application of cohesion theory to reading teaching in senior high school. This paper is a tentative probe into applying cohesion theory to English reading teaching in senior high school. Its purpose is to discuss strategies of cohesion theory in English reading class and to offer teachers some new perspectives of teaching reading.
The Marketing Analysis of Liby Laundry Detergent in Southwest China
Authors: Zhou Yaping
Published: July 2024

With the improvement of people's living standards, consumers' demand for cleaning products has also shown a diversified and high-growth development. Compared with washing powder and soap, laundry detergent has obvious advantages, and consumers are more likely to choose laundry detergent products. Liby laundry detergent has ranked first in the overall market share of the industry from 2009 to 2022. However, last year, Liby suffered losses, and its sales volume dropped significantly. Previously, Liby's sales in the Southwest China market were dropped because of its discontinuation of cooperation with large supermarkets such as Carrefour and RT-Mart, which results that Liby products suffered a significant drop from the shelves. At present, there are many brands of laundry products in my country, such as OMO. The competition in the laundry product market is very fierce. In the face of such internal and external troubles, Liby enterprises have to actively seek new market strategies to stabilize the company's market positioning and continue to develop. This paper mainly takes Liby laundry detergent products as the research object, and analyzes its macro and micro environment in the Southwest China market. In addition, this article also analyzes its marketing strategy in combination with challenges of Liby laundry detergent it faces. From this, it is concluded that there are some problems in Liby laundry detergent in terms of products, pricing, promotion, and positioning. In response to the existing problems, specific suggestions for rational use and improvement of the marketing mix will be put forward to enhance its competitiveness and increase its sales volume in the Southwest China market and build brand loyalty.
A Scoping Review of Content-and-Language Integrated Learning
Authors: Zhou Yongling
Published: July 2024

As plurilingualism highlights the need for greater attention to foreign and second language learning, it gives rise to CLIL development. Using scoping review methodology, this paper aims to elaborate the pedagogy by providing an overview of the contexts, theoretical basis, two focus areas of CLIL research, and evaluation of CLIL. The findings highlight that learners can gain a range of benefits in CLIL classroom like cognitive development, improvement of language knowledge and skills, and increased learning motivation, while CLIL posed challenges to CLIL teachers, learners, and teaching materials. Therefore, teachers should enhance their knowledge and skills to choose and decide suitable teaching materials and to help learners gain language and content knowledge in CLIL class.
Container throughput forecasting of Nansha Port based on ARIMA-RBF
Authors: Wang Wenxian , Zhang Jian
Published: July 2024

Predicting container throughput is fundamental for port management and the scheduling of handling equipment. Based on an analysis of the mechanisms of the ARIMA model and the RBF model, this paper investigates the daily container throughput patterns and data stationarity characteristics of Nansha Port in Guangzhou, using survey results. By integrating the time series forecasting capability of the ARIMA model with the nonlinear processing ability of the RBF neural network, an ARIMA-RBF combined forecasting model is established to predict the container throughput of Nansha Port. This model accounts for both the linear and nonlinear characteristics of port container throughput and demonstrates superior predictive performance compared to the traditional ARIMA forecasting model.
The Historical Changes and Evolutionary Logic of China's Fertility Policy
Authors: He Ying
Published: July 2024

Population problem is an important issue of social development and one of the keys to achieve sustainable development. As an important part of population policy, the scientific understanding of fertility policy and the grasp of its historical change and evolution logic are necessary measures to alleviate the aging trend of small children and promote the long-term balanced development of population. From the perspective of historical institutionalism, China's family policy has gone through five historical stages: incubation, exploration and development, establishment and implementation, relaxation and optimization, and encouragement and inclusiveness. From the perspective of structural changes, changes in the national macro environment, changes in social fertility concepts and the promotion of multiple actors have promoted the evolution and development of China's fertility policy. From the perspective of historical change, the historical change of China's fertility policy has the phenomenon of path dependence and the policy turning of key nodes. Looking forward to the future, we should flexibly adjust the fertility policy by paying attention to the change of population structure; We will protect women's rights and interests and create an equal social environment. Improving the fertility service model and providing comprehensive fertility protection will contribute to the healthy and stable development of China's population.
Research Advances of Urban outdoor environment (UOE) and Children’ Physical Activity
Authors: Xie Yirong , Ma Ming , Xu Jian , Zhou Jie
Published: July 2024

Urban outdoor environment (UOE) is considered an important environmental setting for children’s physical activity (PA) which is recognized as a promising non-pharmacological approach to improve children’s health, particularly in addressing issues like obesity and over-weight. With a substantial increase in the volume of publications on the topics of UOE and PA, the study aims to understand the research advancements by exploring the publication pattern, knowledge foundation, hotspots, and trends. A total of 1203 publications (2000-2023) were re-trieved and processed by the scientometric analysis. Results show the growth of publications in an accelerating speed. The topics covered in the publications are becoming more diversified and interdisciplinary with an emphasis on the public health and environmental study.  The hotspots within the domain include: (1) UOE’s influence on children’s health outcomes by PA; (2) the UOE and children’s PA in the neighborhood setting; (3) UOE’s characteristics associated with chil-dren’s travel and recreational behaviors. The research frontiers are gradually moving towards: (1) multi-health benefits from UOE by encouraging PA; (2) UOE and children’s PA in different en-vironmental settings; (3) UOE and children’s PA in the less-developing countries and district, (4) perceptions of UOE and children’s PA. Our findings highlight the importance of fostering the collaborations between different disciplines and districts to advance knowledge and promote evidence-based interventions aimed at improving children's PA through UOE.