bluuebunny/crossref_metadata_2025 huggingface dataset:
RESULTS OF THE INTERNATIONAL CONFERENCE «MEDICINE AND ART: FROM BEKHTEREV TO THE PRESENT». STRATEGIC WAYS OF INTERDISCIPLINARY INTEGRATION
Authors: Gordeeva Tatyana
Published: April 2024

The results of the international conference on music therapy «Medicine and Art:from Bekhterev to the present day», held in March 2024 in Kazan as part of the anniversary neurological forum «NeuroWeek-Kazan 2024», are analyzed. The speakers of the conference presented the experience of the health and therapeutic effects of musical sound and musical art, highlighted the achievements of theoretical and experimental research in related sciences, natural sciences and humanities. Having gathered speakers from different countries, the conference showed the growing interest of scientists in the topic of music therapy and became an indicator of the high authority that the school of Russian scientific music therapy, headed by Professor S.V. Shushardzhan, has gained. As a result of the exchange of views and the establishment of new interdisciplinary contacts, new prospects for the development of this area were outlined.
Projekt „Teilhabe fördern – Einsamkeit begegnen“
Authors: Schmeissner-Darkow Jonas
Published: April 2024

Das Thema Einsamkeit und Einsamkeitsbewältigung wird in unserer Gesellschaft zunehmend präsenter wahrgenommen, ist eine gesamtgesellschaftliche Herausforderung und muss intersektional bearbeitet werden. Daher wurde im Landesverein 2021 entschieden, das Thema Einsamkeit und Teilhabe in den Fokus zu nehmen und das Projekt „Teilhabe fördern – Einsamkeit begegnen“ ins Leben gerufen.
The Application of Six Sigma Framework (Define-Measure-Analyse-Improve-Control) to Improve Product Quality in Water Dispenser Manufacturing Company
Authors: Tannady Hendy , Jiddan Fauzan
Published: April 2024

This research aims to determine the causes of water dispenser product defects and find the main factors causing defects. This research was conducted in the form of a case study. The data used consists of quantitative data, supported by qualitative data. The analytical method used is Six Sigma, with a focus on the DMAIC method (define, measure, analyze, improve, and control) and sigma values. The population of this research is all water dispenser product equipment. Through observation, interviews and documentation techniques, this research collected data. The data processing method used is DMAIC Six Sigma, with a special focus on the Measure stage. Based on the research results, it was found that the process performance of the water dispenser product was at the level of 4.72 sigma with a DPMO value of 633,732. The most dominant defect occurs in the motor pump. Causes of defects in water dispenser products include human factors (inexperienced operators, errors in reading work instructions, unclear job holders, products not completed on time), materials (parts that do not meet standards, inspection/test equipment that does not function, CBU units that do not conform to standards), methods (products do not meet customer expectations, finished products do not meet standards, inspector operators do not master the use of measuring equipment according to regulations, customer complaints are not handled properly), and environment (hot room conditions, unstable room temperature). The most influential cause and priority for improvement is that customer complaints are not resolved or solutions are sought by the supplier.
Analysing Spatial and Temporal Rainfall Variability of Southern Rajasthan using GIS Approach
Authors: Paradkar Vinayak , Mittal H. K.
Published: April 2024

This study focuses on analysing the behavioral patterns of rainfall in southern Rajasthan, particularly in reference to its amount and variation over time. The study made use of standard meteorological weeks (SMW) and historic weekly rainfall records. IDW (Inverse Distance Weighting) interpolation technique within the ArcGIS platform was used for spatial analysis, creating spatial variation maps. It was found that significant rainfall occurred from Standard Meteorological Week (SMW)-22 to SMW-42. The weekly mean rainfall across the study area during the monsoon period ranged from 2.1 to 68.4 mm, with corresponding standard deviations ranging from 9.3 to 79.7 mm. Notably, the standard deviation was often higher than the mean, indicating substantial variability in weekly rainfall. Trend analysis using the Mann-Kendall test revealed that most stations in the study area exhibited no significant trend in annual rainfall data. Similarly, weekly rainfall data showed a trend in SMW-30 for 44 stations, while all other weekly data series did not exhibit significant trends, except for SMW-30. Stationarity was generally accepted for most weekly data series, except for SMW-30 and SMW-32, which showed non-stationary behavior. However, homogeneity tests indicated homogeneity in weekly rainfall data series for almost all selected stations. Overall, the study highlighted the significant variability in rainfall patterns in southern Rajasthan, with no significant trend in annual rainfall, except during the peak monsoon period (SMW-30). These findings contribute to a better understanding of regional rainfall behavior, which is crucial for water resource management and agricultural planning in the region.
Business Leadership in E-Commerce in the USA: The Impact of Blockchain Technology
Authors: Mouna Bessouyah , Yassine Mimouni
Published: April 2024

Due to the evolution of digital finance and the active development of cryptocurrencies, blockchain is no longer just a tool for cryptocurrency extraction or database management but a technology that has a wider range of benefits for every trader who wants to conduct transactions using electronic payment instruments (cost improvement, effective tracking and traceability, verifiable record-keeping, transparency, etc.). The impact of blockchain technology on e-commerce can be viewed through the prism of unprecedented technological capabilities, legal and regulatory issues, customer data analysis, the design of communication channels along the supply chain, and trust and security. The article investigates the effect and the direction of the impact made by changes in digital blockchain technologies on retail prices in US e-commerce during 2014-2023 based on the VECM error correction model (software package – Eviews 12). The stability of the time series of the studied variables was confirmed by the Phillips-Perron test, and the Granger causality test showed the absence of a causal relationship between the studied factors in both directions. Instead, the Johansen Juselius Joint Integration Test showed a long-term balance between the studied variables (this is what allows using the VECM model). The results of the delay test of the studied model by two criteria (AIC and SC) showed that the optimal number of delays for the studied variables is 2. When conducting validity tests of the VECM model (joint integration test, LM test, heterogeneity test, unit root test, etc.), it was found that the model does not suffer from the problem of heterogeneity or self-correlation and meets the stability conditions. The study results indicate a positive impact of changes caused by blockchain technology on e-commerce in the long run (changes in digital blockchain technology explain 44% of retail e-commerce changes), with no short-term effect. Any shock in retail e-commerce will quickly affect changes in digital blockchain technology and vice versa (from the first period).
The Relationship Between Job Satisfaction and Employee Loyalty: Case of Teaching-Researcher Staff
Authors: Hadj Khelifa
Published: April 2024

Employee loyalty is an important determinant of business productivity and management effectiveness, and its decline can cause organisational deviance, reputational losses, counterproductive behaviour of staff, reduced manageability, and, ultimately, increased staff turnover and loss of key employees. The article proposes and empirically confirms two hypotheses: 1) a significant relationship between job satisfaction and employee loyalty; 2) job satisfaction directly affects the employee’s intention to leave the organisation. These hypotheses were tested on the example of academic staff of different universities in Algeria. For this purpose, a random sample was formed, the reliable representativeness of which corresponds to the general population in terms of age, gender and length of service of respondents (500 questionnaires were randomly distributed, 329 of which were approved for analysis, i.e. the share of respondents who agreed to participate in the survey is 65.8%). The Minnesota Satisfaction Questionnaire (a short version of 20 job facets with a five-modality measurement scale) was chosen as the basis for the study of job satisfaction, which was improved by removing and adding individual items and adjusting the wording of individual questions. The validity and reliability of the scales measuring job satisfaction and employee intentions to leave the organisation are high (Cronbach’s alpha is 0.91 and 0.81, respectively). The data was analysed using the statistical software SPSS. V.27, and several statistical methods and tests (Cronbach’s alpha, ANOVA, regression analysis, etc.) were used to test the hypotheses. The study has shown that job satisfaction is significantly related to an employee’s intention to voluntarily leave the organisation: (β = -0.547, p < 0.000), (F = 19,357, p < 0.000). Job satisfaction explains 29.9% of the variance in intentions to leave voluntarily. Job satisfaction has a direct impact on reducing voluntary turnover. This relationship is negative and significant. A moderate direct relationship between employee loyalty and job satisfaction has been confirmed (correlation coefficient R=0.547 is positive), i.e. the higher the job satisfaction, the more loyal employees are to the institution where they work.
Name Bias: Application Through the 4-Step Process Using Foundations of Critical Theory in Organizational Settings
Authors: L. Morin Stacey
Published: April 2024

The phenomenon of name bias in the workplace has received scholarly attention, particularly within organizational dynamics, diversity, equity, and inclusion efforts. The article aims to identify the ramifications of name bias within organizational structures and how to mitigate it using the foundations of critical theory. The article provides a comprehensive overview of name perception within organizational settings, mainly focusing on the potential biases leading to unintentional or deliberate favoring of individuals in hiring decisions or discrimination based solely on their names. This research highlights the detrimental impact of name bias on organizational dynamics, proving that it hinders progress toward a more diverse, inclusive, and equitable workplace culture. The article conducts a literature review of articles in peer-reviewed journals selected from such academic resources as ABI/INFORM Collection, Business Source Complete (EBSCO Host), Google Scholar, JSTOR and ProQuest Research Library using the keywords “critical theory”, “diversity”, “equity”, “inclusivity” and “name bias”. Application of critical theory in the hiring process empowers organizations to deconstruct systemic biases, fostering a fairer, more inclusive environment for all candidates. This approach enables scrutiny of neutrality of hiring practices, exposing how seemingly objective criteria can obscure underlying biases rooted in race. Moreover, it unveils the social and cultural significance embedded in names, often intertwined with stereotypes and power dynamics. Organizations are advised to implement a four-step process: 1) raising awareness among staff involved in the hiring process about unconscious bias, including name bias, and its impact on decision-making, and the historical and social context of bias; 2) anonymous screening which is the blind recruitment practice, particularly in the initial stages of the hiring process, which involves removing personal information such as names from resumes to minimize unconscious name bias; 3) diverse hiring panels that include individuals from various racial backgrounds and give voices to marginalized groups. This can help reduce the impact of individual biases and promote a more inclusive decision-making process; 4) clear and standardized criteria for evaluating candidates to ensure that assessments are based on relevant skills, qualifications, and experience rather than subjective judgements influenced by names. The use of inclusive language in job descriptions and communications is needed to avoid terms that may be associated with certain demographic groups. The research findings can serve as a valuable resource for organizations looking for solutions to mitigate the phenomenon of name bias.
Literature Review and Theoretical Generalizations of the Ethics Role in Business and Management: Family Business as a Case Study
Authors: Kobiyh Miloudi , El Amri Adil , Sahib Eddine Abdelhak , Oulfarsi Salah
Published: April 2024

The article contains the results of the analysis of the world’s scientific achievements and theoretical generalizations regarding the functions of ethics in business organizations, the range of its application in management, and its role and place in ensuring the effectiveness of the company’s economic activity. This study considers ethics not as an obstacle to business development that requires additional resources but as a relationship based on trust and cooperation that determines the firm’s strategy and competitive advantages. The article summarizes approaches to integrating ethics into management practice and considers the taxonomy of management ethics in organizations. Using the example of a family business, the article identifies general mechanisms for reconciling ethical principles and economic efficiency of a company so that care about ethical responsibility has a favorable impact on fulfilling the main mission – making a profit. The ethical practices of family and non-family businesses are compared. Although family businesses do not always have a formal code of ethics, they are more likely to model ethical behaviour through their actions; family values and their transmission from generation to generation play a significant role in shaping ethical practices in this business; family businesses become more involved in social activities and feel responsible to the community; their image and reputation are an absolute priority. Based on the theory of legitimacy, the article examines the concept of socio-emotional wealth using the example of the family business, which includes values related to emotions and non-financial aspects of business that meet the emotional needs of the family (identity, ability to influence the family and perpetuate the family dynasty). The article considers ethics an integral element of a company’s social capital. It summarizes the approaches and stages of ethical policy formation, through which ethical standards are specified and implemented through formal and informal rules and procedures established by individuals and organizations. While forming an ethical policy, it is important to start from the components of the company’s context (culture, values, internal regulations), choose a business model that is consistent with values and ethical principles, and formalize the procedures for the transition from individual ethical behaviour of managers (loyalty, honesty, ethics, fidelity) to the creation of collective ethics (dissemination of these values within the company). The article provides recommendations for the successful integration of ethical policy: coordination between ethics and corporate image, between ethics and company performance, and coordination of mechanisms for formalizing ethics and corporate culture.
The Impact of Foreign Direct Investment on Economic Growth: Empirical Evidence
Authors: Kaddouri Noureddine , Benelbar M’hamed
Published: April 2024

Foreign direct investments are an instrument widely used by countries, both developed and emergent, to achieve their economic development. Among others benefits, discussed in the specialized literature, investment inflows accelerate production, improve productivity, facilitates the transfer of technology, raise the qualification oh human capital, contributes to create new jobs and to boost the economic growth of the host countries. The main purpose of the research is to examine the short and long runs relationships between foreign direct investment (FDI) and economic growth in Algeria. To carry out our investigation, the time series data of the two variables are used over the period 1990-2023. This period covers the span time in which data on the volume of foreign direct investments are available. To achieve the research purpose, an ARDL model is built based on the unit root methodology of the Augmented Dickey Fuller and Phillips  Perron tests. The findings of the study show that the foreign direct investment (FDI) and economic growth are cointegrated, indicating the existence of a long relationship among them. They establish also that foreign direct investment (FDI) has a positive impact on economic growth. Building on the research results, Algerian decision makers should take the required actions to improve the climate business, making it more attractive for foreign investors.
Multidimensional Factors To Measure Quality In Education Institutions
Authors: Bedoui Samiya , Adouane Asma
Published: April 2024

This study aims to assess satisfaction with the quality of education in educational institutions in Algeria and to determine the factors that significantly influence it. The study was based on a survey of inspectors representing the primary control body for educational institutions in Algeria. The questionnaire contained questions based on which the inspectors assessed the quality of education in 1,101 schools (representative sample). A three-point Likert scale was used to evaluate inspectors’ agreement with the statements included in the questionnaire. The questionnaire consists of 7 factors that characterize the quality of the professional development of pedagogical workers, the educational program, textbooks, the educational process, the conditions of school education, the evaluation process, and the effectiveness of the teacher’s work. Correspondence of the data to the normal law of distribution was confirmed with the help of SENWEKS (asymmetry coefficient/skewness coefficient) and KIRTOSIS (variation coefficient or excess) indicators. The reliability of the research tools and the possibility of relying on the questionnaire data were confirmed using Cronbach’s alpha coefficient and validity – using the overall internal consistency coefficient. The internal consistency reliability of the questionnaire was confirmed using Pearson’s linear correlation coefficients between the factors and the total score of the questionnaire. The study proved that the factors of the quality of education, with the highest level of satisfaction expressed by the respondents, were the quality of educational programs (inspectors have a favourable opinion about the educational content, considering it relevant and well structured) and textbooks (inspectors appreciate the clarity and richness of the content of the textbook, emphasizing its essential role in student learning), while they were the least satisfied with the quality of learning conditions (inspectors point to a lack of educational resources, inadequate infrastructure and a large number of students in the classroom). One-sample Student’s t-test (one-sample T-Student Test) was used to identify the factors that have the most significant impact on measuring the quality of education in educational institutions in Algeria. The most important factors were the effectiveness of the teachers, the quality of the curriculum and the quality of the textbooks. The research emphasizes the importance of continuous learning and adequate support for teachers.
The Impact of Covid-19 Pandemic on Cryptocurrency Adoption in Investments: a Bibliometric Study
Authors: Niftiyev Ibrahim , Kheyirkhabarli Murad
Published: April 2024

In the post-COVID-19 era, academic papers on changing financial investment habits are proliferating rapidly as the pandemic has disrupted economic and financial markets, altered investment decisions, and brought new risks and challenges. In addition to traditional market instruments such as gold, oil, and other commodities, cryptocurrencies have attracted new attention due to their dynamic and decentralized nature in these extraordinary times, which must be constantly analyzed from different angles. This paper aims to analyze the evolving academic interest in the adoption of cryptocurrencies for investment decisions, focusing on research papers published in the Scopus database between 2020 and 2023 through bibliometric analysis. The Scopus database provides high-quality publications that have been peer-reviewed and rigorously scrutinized, and the chosen time period corresponds exactly to the period that was sufficient to provide a significant amount of research. The choice of bibliometric research methodology supported our research question and significantly improved our understanding of the relationship between the rise in financial market usage related to COVID-19. The specific focus of this research shows a significant correlation between COVID-19 and cryptocurrencies as an investment option, as evidenced by the increasing number of academic papers and collaboration between numerous countries and institutions. The analysis of the bibliometric research results underlines the increasing importance of cryptocurrencies as alternative investment opportunities in the financial markets. A remarkable interest in this area can be observed globally, with leading countries such as China, India, the USA, the UK, and Malaysia driving research efforts. Through the use of bibliometric analysis, this study encourages cross-border collaboration and highlights the academic recognition of cryptocurrencies as viable investment opportunities in the international financial landscape. Investors, researchers, and policymakers are interested in the growing recognition of cryptocurrencies as a viable investment opportunity, which is reflected in increasing research collaborations and investment opportunities. These trends highlight the evolving landscape of financial markets and regulatory considerations.
Growth Acceleration Determinants in East Asia and MENA: Empirical Evidence from Mixed Effect Models
Authors: Djouadi Issam , Zakane Ahmed , Abdellaoui Okba
Published: April 2024

This study is aimed at studying the main factors that determine the process of accelerating economic growth in countries located in East Asia, the Middle East and North Africa between 1996 and 2019. The sample of countries included: Algeria; Bahrain; China; Egypt, Arab Republic; Hong Kong; Indonesia; Iraq; Japan; Jordan; Korea, Republic of; Kuwait; Malaysia; Mauritania; Morocco; Philippines; Qatar; Saudi Arabia; Singapore; Sudan; Thailand; Tunisia; United Arab Emirates; Yemen. The research is based on the methodology of Haussmann, Pritchett and Rodrik (2005), according to which 3 criteria of accelerated economic growth are used: 1) to characterize the process of acceleration itself growth of GDP per capita by 2%; 2) to characterize cases of rapid growth – annual growth rates for eight years are more than 3.5%; 3) to characterize the achievement of sustainable acceleration GDP per capita is greater than the highest level after the onset of the acceleration phase. As the main determinants of accelerated economic growth, the characteristics of institutional quality (the rule of law, control of corruption and the quality of regulation), factors of accumulation (the share of gross accumulation of fixed capital in GDP and characteristics of human capital through the measurement of the duration of education and the profitability of education), the openness of trade ( share of trade to GDP) and natural resources (share of revenues from natural resources to GDP). The research was carried out using Probit, Logit and Tobit models. Logit and Probit modeling made it possible to assess the impact on the acceleration of economic growth: changes in human capital as insignificantly positive; trade openness – as a minor positive, changes in natural resources as a significant positive, increase in the share of investment in GDP – as the largest positive. An increase in institutional quality does not lead to an increase in the chances of the studied countries (the rule of law index has a slight positive effect, the corruption control index has a slight negative effect, the only positive effect that deserves attention concerns the regulation quality index). The results of Tobit modeling demonstrate a statistically significant positive impact of institutional quality, regulatory quality, rule of law, investment and natural resources on the acceleration of economic growth. Thus, the acceleration of economic growth observed in the countries of East Asia, the Middle East and North Africa is a direct result of successful policies aimed at improving institutional quality, promoting investment and harnessing the positive impact of natural resources.
The Effects of Dividend Policy On the Price of Shares of Microfinance Companies In Developing Countries
Authors: Bahadur Budhathoki Prem , Khadka Kumar
Published: April 2024

The strategy of dividend policy implementation in the context of business value growth is the subject of debates in theoretical and empirical research. Dividends and retained earnings are two alternatives that investors have when deciding how to distribute their income. According to the bird-in-the-hand theory, a company’s value is maximized by paying large dividends, because investors consider the payouts less risky than capital gains, regular high dividend payments serve as an information signal to market participations about the current and future financial stability, which attracts new investors and allows attracting more external resources. Instead, according to Miller and Modigliani’s dividend irrelevancy theory, corporate value is influenced not by the division of income into dividends and retained earnings, but by investment policy and income from assets. There is a lack of research in the literature that examines the relationship between dividend payouts and stock prices in developing countries (especially in Nepal) and there is no empirical evidence that profitability can moderate this relationship. The article examines the influence of dividend yield, retention ratio and dividend payout ratio on share price both in general and directly, and indirectly-through return on assets and return on equity. The information base is data for the 2017-2021 financial years on 61 Nepalese microfinance institutions (10 of which were the direct object of the study) registered on the Nepal Stock Exchange (NEPSE), obtained from the official websites of the relevant institutions, ShareSansar and NEPSE statistics. SPSS software (PROCESS v4.3) was used for data analysis. Descriptive statistics, the correlation and regression analysis were used for the analysis. The article analyzes three types of effects: total, direct and indirect. The overall effect of dividend yield on share price is negative, the retention ratio is positive and significant, and the dividend payout ratio is negative and significant. The direct effect of the dividend yield on the stock price is negative, the retention ratio and the dividend payout ratio are positive and insignificant. The indirect effect of dividend yield and retention ratio on share price through return on assets is negative and insignificant, and through return on equity it is positive and significant. The indirect effect of the dividend payout ratio through the return on assets is positive and significant. However, the return on shareholders’ capital has a negative and insignificant effect on the share price.
Synthesis and exploration of the structure and function of artificially synthesized red blood cells
Authors: Fang Qiutong
Published: April 2024

Nowadays, many major diseases and surgical treatments require fresh blood to be injected into patients. However, fresh red blood cells’ storage and typing conditions are very strict, which has led to research on artificial red blood cells. Through conducting research experiments on artificial red blood cells, human blood samples are subjected to a series of steps such as mineralization, filtration, and calcination, ultimately obtaining a small amount of artificial red blood cell samples. This series of research and learning has laid a solid foundation for the demand for large-scale blood production in the medical field, helping to improve the quality and quantity of blood resources in various medical facilities.
The combination of Multi-factor Models and Artificial Intelligence / Machines
Authors: Xuan Zihan
Published: April 2024

With a focus on the rationality, risk, and return components of investment strategies, this study proposes to provide light on the growing importance of combining multifactor models and artificial intelligence (AI) in financial decisions intelligent decision making. The research aims to bring together traditional finance theories and modern data-driven approaches to enhance investment decision-making, risk management, and portfolio optimization. In this research I will mainly use this experimental scheme of data exploration as well as other experimental scheme such as using model training and testing to evaluate the possibility of AI-driven models to provide practical solutions and valuable knowledge for the financial industry.
Best Country to Live In 2024
Authors: Zhang Han
Published: April 2024

The presentation will include a complete evaluation of the most livable nations. This inquiry considered several essential quality-of-life factors, including economic stability, healthcare quality, educational opportunities, personal safety, and environmental sustainability. The article discusses the methodology used to analyze and rank the nations, providing important information for individuals considering migrating for better living circumstances. The study aims to examine the multiple elements that determine the overall ranking and explain what this means for potential migrants.
Data Analysis on the Results of the 4*200m Freestyle Relay in Olympic Swimming
Authors: Peng Ye
Published: April 2024

The 4*200m Freestyle Relay has been established as an Olympic event for many years and is welcomed by many audiences. The data visualization and analysis in this report are based on the 4*200m Freestyle Relay data from 1984 to 2020. Firstly, the overall situation of this Olympic event is presented. The data and charts show that a few teams in the world own the medals for the 4*200m, and in these teams, the USA and Australia are especially prominent, so one could almost say they are dominant. In comparison between these two teams, the USA was more dominant in the early years, but in recent years, the gap between Australia and the USA has narrowed. From the aspect of different sexes, male athletes in Team USA are more competitive, while female athletes in Team Australia are more competitive. In addition, teams with better performances in the 200m Freestyle are more likely to be brilliant in the 4*200m Freestyle Relay. The conclusions of this research bring some inspiration. For national teams, it is necessary to bring up enough athletes who are excellent in the 200m Freestyle if they want a brilliant performance in the 4*200m Freestyle Relay. For the Olympic Swimming audiences, more exciting 4*200m Freestyle Relay matches, and more teams that win medals in this event can be expected.
Paying for Ears: A Study on the Impact of Podcast Platform users’ Willingness for Knowledge Payments
Authors: Ding Zhaorong
Published: April 2024

With the development of the Internet era, the ways people receive information are becoming more and more diversified. While pursuing the breadth of information, people began to value the purity and directness of information, which directly led to the rapid development of podcasts and their carrier platforms. Perceived value is the overall value of a commodity or service that consumers feel subjectively. Perceived convenience covers a lot of aspects, which can be summarized as the total amount of money or energy consumed when consuming a certain product or service.These two important indicators are used by academics to measure consumer satisfaction and their overall impression of a product. Therefore, based on the characteristics of podcast platform, such as rich choices and one-way information, this paper introduces the concept of convenience perception through the theory of perceived value, and uses TAM model as the carrier to study the impact of value and convenience perception on consumers’ willingness to consume paid programs on podcast platform.
Research on the Legislative Power of Special Economic Zones
Authors: Yang Ziyun
Published: April 2024

There are two components to the zones of special economic’ dual legislative authority: the legislative authority of delegation and the legislative power of power. The challenge of balancing the legislative power of delegation and the legislation of functions under the dual-power legislation, the imprecise definition of the practical application of the legislative authority of the special economic zones, and the significant tendency toward departmentalism in the laws about special economic zones are the primary issues facing the legislative power of the zones. Future improvements to particular economic zones legislation’s procedural framework are desperately needed. These improvements should focus on bolstering the legislature’s guiding role, enhancing the normative character of draft legislation with authority, and enhancing the system for reviewing draft regulations. Construct a path for resolving conflicts between internal regulations, including clarifying the purpose and scope of authorized legislation, strengthening legislative supervision systems such as filing and review, and improving overall legislative planning and methods.
The Female “Tragic” Consciousness in Bai Xianyong’s Novels: Take Exiled Immortals and A Touch of Green as Examples
Authors: Wang Yaxuan
Published: April 2024

The novels “Exiled Immortal” and “A Touch of Green” are included in Bai Xianyong’s novels The New Yorker and Taipei People, respectively. In Bai Xianyong’s works, the concern for women is a constant topic, and he transforms himself into a combination of rationality and sensibility, sculpts the contours of the times and society, and captures the image of women in the plot through the language and behavioral details between reality and fiction. The tragic dimension magnifies the existence of women, the ups and downs of fate, the sadness of a foreign land, or the loss of self as a way to think about the dilemma of women’s existence. This paper focuses on female tragedy from a three-dimensional perspective: the causes, the deep narrative techniques, and the tragic endings. The study seeks to deepen the understanding of the delicate sense of female tragedy in the writing of Bai Xianyong.
The Impact of Personalized Recommendations on Consumer Purchase Decisions on TikTok – A Case Study of College Students
Authors: Han Jingtian
Published: April 2024

With the rapid rise of social media and short video platforms, TikTok has become an important channel for young people, especially college students, to acquire information and entertainment. Personalized recommendation, as one of the core functions of the TikTok platform, has a significant impact on consumers’ purchasing decisions. This study investigates how TikTok’s personalized recommendation mechanism affects users’ purchasing desires and actual buying behavior by matching content filtering with user preferences, based on surveys and in-depth interviews with the college student group. The research finds that personalized recommendations play a positive role in improving purchase conversion rates but may also exacerbate users’ tendencies towards impulsive buying. The paper further analyzes key factors affecting the effectiveness of the recommendations, including the relevance of recommended content, user engagement, and trust. On this basis, suggestions for optimizing personalized recommendation strategies and balancing user experience with commercial interests are proposed. This study is of theoretical and practical significance for understanding consumer behavior in the new media environment and provides insights and strategic references for platforms like TikTok.
Comparison of the Markowitz Model and Index Model in Capital Markets
Authors: Yang Chuanze
Published: April 2024

This paper examines two widely used portfolio optimization models: the Markowitz Model (MM) and the Index Model (IM). We collected and processed historical data on ten stocks for 2001-2021 that included four different sectors, one P500 stock index, and a proxy for a risk-free rate (1-month Fed Funds rate). By computing all properly optimized inputs for the full Markowitz and index models, we find the regions allowing the portfolio under five additional realistic constraints. The study shows that the minimum variance combination and the maximum Sharp ratio are better than the Index Model. In addition, this paper further complements the empirical research of two models and provides some valuable investment suggestions for building the portfolio.
Empirical analysis of the development relationship between Shanghai shipping industry and primary industry based on VAR model
Authors: Zhang Tianjie
Published: April 2024

This study employs the Vector Autoregression (VAR) model to conduct an in-depth empirical analysis of the dynamic relationship between Shanghai’s shipping industry and the development of the primary sector from 2002 to 2022. The findings reveal that, as a globally significant maritime hub, the development of Shanghai’s shipping industry has a notable positive impact on the growth of the primary sector, particularly in agriculture and fisheries. Through ADF unit root tests, cointegration tests, and Granger causality tests, a stable long-term relationship was identified between shipping industry indicators, such as container throughput and total waterborne cargo transport volume, and the output value of the primary sector. Impulse response analysis and variance decomposition further reveal the critical roles and mechanisms through which the shipping industry influences the development of the primary sector. Based on these insights, the paper proposes policy recommendations aimed at strengthening the integrated development of shipping and the primary sector, promoting technological innovation in the shipping industry, optimizing the policy environment, enhancing environmental protection measures, and bolstering international cooperation. These strategies are intended to foster synergistic development between the two sectors and drive sustainable economic growth.
Systematic Review and Prospects on Social Risks of Artificial Intelligence— Visual Analysis Based on CiteSpace Knowledge Graph
Authors: Zou Jiaxin
Published: April 2024

As artificial intelligence becomes more and more embedded in human society, it also creates social risks. With the help of CiteSpace software, 200 documents related to social risks of artificial intelligence searched from SSCI and SCI journals from 2000 to 2024 were sorted out to sort out the research progress and hot spots. Research shows that there are currently some highly influential scholars and institutions in the field of artificial intelligence social risks, and the number of relevant studies is increasing year by year. Risk resolution and sustainable development issues of artificial intelligence have become important research directions for the continuous development of artificial intelligence.
Analysis of EEG characteristics in Alzheimer’s disease
Authors: Chu Xiaoyang
Published: April 2024

Alzheimer’s disease (AD) brings a heavy burden to society and families because of the high misdiagnosis rate, prevalence rate, and disability rate. At present, the treatment of AD still faces great challenges. Early intervention can effectively delay the disease progression and improve the burden of symptom care. However, the key to early intervention is accurately identifying and assessing the disease. The examination is difficult to be widely used because of its high invasive cost. There is an urgent need for a simple, convenient, and non-invasive diagnosis of AD. Studies have shown that the brain number of AD patients is slower than that of healthy people, and the complexity of EEG is disturbed. Clinical practice has proved that the specificity and sensitivity of α, β, δ, θ absolute power and α/θ absolute power ratio, especially θ absolute power and α/θ absolute power ratio in the model, are important electrophysiological indexes for AD diagnosis EEG. Non-invasive and economical electrophysiological techniques can characterize and identify the EEG characteristics of AD patients from different angles. They are relatively simple to implement, and patients have a high degree of cooperation. Therefore, EEG, as a diagnostic method of AD, can improve the accuracy of differential diagnosis and early detection of AD and quantify the severity of the disease. It has the advantage of non-invasive convenience and price, which is of great significance for early diagnosis of AD.
How we deal with transition planning as we approach the e-bus era
Authors: Yu Junxiao , Xia Yuhan , Huang Yuan , Lv Zixian
Published: April 2024

With the rapid development of new energy, the widespread adoption of electric buses is significant. This paper delves into the environmental impact, economic implications, and strategic planning solutions associated with the proliferation of electric buses. We initiate this process by using bus data from Qingdao, China. Subsequently, using the fuel life cycle method, we carefully examined CO and the pollutant emission characteristics of Qingdao bus fleet before and after electrification. The research results reveal that CO, nitrogen oxides, and VOC emissions have all increased. An economic analysis of electric vehicle adoption in public transportation was conducted in response to the second question. Considering government subsidies, a cost-saving model for electric vehicles per 100 kilometers was constructed.
Furthermore, the study found that as the electrification rate increases, the operating costs of electric buses in Qingdao gradually decrease. We developed a comprehensive linear integer programming model to address the third question. The model, aimed at achieving the lowest comprehensive cost while considering various constraints, was solved through the branch and bound method. We applied this model to analyze the optimal plans for completing the conversion of electric buses in Qingdao, Zhengzhou, and Xi’an within a 10-year timeframe. For the fourth question, we have put forward policy recommendations.
A literature review addressing the relationship between mindfulness and stress-level
Authors: Fang Yiheng
Published: April 2024

This review explores the effectiveness of mindfulness interventions, particularly Mindfulness-Based Stress Reduction (MBSR), in reducing stress. Existing research supports the positive impact of mindfulness-based therapy on stress, anxiety, and depression. Despite promising outcomes, the limited number of high-quality studies underscores the need for more comprehensive research. Highlighted studies include an 8-week mindfulness program for medical students, demonstrating significant reductions in stress and anxiety, and a pilot study investigating the impact of MBSR on individuals in substance abuse treatment. In the educational context, mindfulness interventions can improve students’ well-being and attention. A study in Granada, Spain, reports positive outcomes in health, school, and family variables post-intervention.In conclusion, while literature supports the positive impact of mindfulness on stress reduction, further robust research, especially in educational settings, is essential to establish effectiveness and guide future interventions.
Feminism in Lu Xun’s “Regret for the Past”
Authors: Liu Xia , Teng Zhirui , Wang Ying
Published: April 2024

Lu Xun, one of the representatives of feminism movements in China at the first stage, clearly empathized with Chinese females’ fate and called on Chinese women to awaken their feminist consciousness, playing an important role in the development of feminism movements in China. However, women were not treated equally to men in his description. Zijun, in Lu Xun’s work Regret for the Past, is a woman dependent on male domination and lacks independent consciousness. This paper explores the progress of feminism in Lu Xun’s works and the limitations of his description of independent females based on an analysis of the text Regret for the Past. Lu Xun strongly called on women to empower themselves, free their personalities, and awaken their feminist consciousness to become independent individuals. However, the paper argues that Lu Xun’s examination of feminism also had some limitations due to its male thoughts and narrative perspective.
Impact of Artificial Intelligence Adoption on the Psychological Contract and Job Satisfaction of Chinese Employees - The Moderator Role of Industry Characteristics
Authors: Wang Junyun
Published: April 2024

From the perspective of Chinese employees, this study delves into the evolving employment relationship amidst digital transformation, specifically examining the impact of AI on job satisfaction and psychological contracts. Utilizing an online survey, data was collected from 321 Chinese employees, and subsequent statistical analysis of the gathered metrics evaluated the psychological foundations and behavioral outcomes associated with AI integration in the workplace. The findings reveal that, although AI implementation positively correlates with job satisfaction and the reinforcement of psychological contracts, the existence of transformational leadership tends to attenuate this positive correlation.
Walt Disney’s Business Model
Authors: He Yuxian
Published: April 2024

Disney is a well-known worldwide entertainment company with a wide range of investments, including entertainment and motion picture production. The SWOT analysis framework is utilized in this article to examine Disney’s advantages, disadvantages, opportunities, and threats to clarify the elements that have contributed to the company’s success. Disney’s resilience in the face of a changing business is seen in its strong alliances, significant cash flow, and wide range of products and services. However, its dependence on flagship properties and vulnerability to outside influences present difficulties. By utilizing Disney’s connections and experience, there are several potentials to grow into the internet streaming market with Disney Plus. However, threats like increased competition and economic instability still exist. Analyzing Disney’s development and strategic decisions highlights the company’s lasting impact on the entertainment industry and exemplifies a revolutionary business strategy with broad implications.