bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Analysis of SARIMA and ETS Models in Forecasting Influenza Cases in China
Authors: Zhang Yuhan
Published: January 2025

Accurate prediction of infectious disease cases has always been a research focus in the field of medicine and health. This paper studies the application of time series models in the forecasting of influenza cases in China using the SARIMA and ETS models. The dataset used was collected from the China Public Health Science Data Center from January 2012 to December 2018. The COVID-19 period was excluded to avoid anomalies. Both models were trained on the historical data and tested to see their performance in doing predictions for the year 2018. Based on the evaluation metrics, RMSE and MAPE, the ETS model, one of the best models selected for comparison, was better at modeling the seasonal patterns of influenza, in comparison with SARIMA (0, 1, 0) (1, 0, 0) (12). These findings indicate that the ETS model can make more precise forecasts with wider confidence limits, which may be useful for public health planning and management in China regarding influenza.
Research on the Consumption Psychology of Chinese Consumers Toward the American Brand Tesla
Authors: Xu Tianjiao
Published: January 2025

In recent years, with the rapid development of the electric vehicle market, the United States brand Tesla has gradually gained a certain market share in China. As a representative of a high-tech electric vehicle brand, Tesla's entry into the Chinese market has had a significant impact. Understanding the consumption psychology of Chinese consumers towards Tesla is of great significance for Tesla to better adapt to the Chinese market and the development of the domestic electric vehicle industry. This study aims to explore the consumer psychology of Chinese consumers when choosing the United States brand Tesla, including their motivations, concerns, and evaluation criteria. By analyzing these aspects, we hope to provide valuable insights into Tesla's marketing strategy and product development in the Chinese market. The study will employ a combination of quantitative and qualitative methods. Quantitative methods may include online surveys and questionnaire data collected from a large number of Chinese consumers who have shown interest in Tesla vehicles or who have purchased Tesla vehicles to obtain statistics on their consumption behavior and psychological tendencies. A qualitative approach may involve in-depth interviews with a number of key consumers, industry experts, and Tesla dealer staff to gain a deeper understanding of the factors influencing Chinese consumer choices.
Research on the Strategies of Airlines During COVID-19
Authors: Chen Jiaqi
Published: January 2025

The epidemic has hit the global economy hard, and many industries have been hit hard during COVID-19, with the impact on the aviation industry being extremely severe. However, at the same time, the epidemic brought opportunities and challenges. This paper will combine aspects of the impact of the outbreak on the airline industry and the company's strategy, which elaborates on Southwest Airlines and Delta Air Lines's coping strategies. This paper utilizes previous scholars' discussions on the impact of the epidemic on the airline industry and the annual reports of the two companies. The paper discusses how these two great airlines could return to profitability after the devastating impact of the epidemic and what measures were implemented during this time. The main points include the following, improved health surveillance systems, maximized expenditure cuts, and incentivized customer spending strategies. The paper also explores mention the reasons for the decline in oil prices during the epidemic and Southwest's use of hedging strategies against oil price fluctuations.
Marketing Strategies and Social Influence on Impulse Buying
Authors: Du Lilan
Published: January 2025

This study employs a literature review methodology to examine the influence of marketing strategies and social factors on impulse buying behavior. The research focuses on the effects of various marketing strategies, including promotional discounts, controlled marketing, and live-streaming marketing, as well as social factors such as social media and online reviews. Through the analysis of multiple empirical studies, it is found that these factors influence impulse buying through various mechanisms, including time-limited discounts, scarcity marketing, emotional experiences, and herd behavior. However, the research also indicates that frequent promotions may reduce effectiveness, and negative reviews have a more significant impact than positive ones. Additionally, this paper analyzes the measurement methods used in the studies, compares various research conclusions and methodologies, and summarizes the limitations and shortcomings of existing research while proposing suggestions for future studies. This research provides a theoretical foundation for understanding the complex influencing factors of impulse buying behavior and has significant practical implications.
A Study on Merger and Acquisition (M&A) Strategy of Luxury Groups: Using LVMH as an Example
Authors: Wu Liuruojia
Published: January 2025

This research examines the merger and acquisition strategy of luxury corporations, focusing on LVMH. The first section focuses on a large-scale literature review. It discusses the history of the luxury industry and the concepts that underpin merger and acquisition strategy. The description of the luxury sector as the epitome of the non-proletarian class and its transformation into a more accessible "mass luxury" market concluded that this change was driven by a variety of transforming influences, including price reductions and sales of luxury brands as a result of the globalisation process, as well as cultural and social influences. Simultaneously, the basic acquisition process is founded on the idea that luxury conglomerates typically purchase luxury brands to gain a competitive edge, expand their market position, and enhance their brand portfolios. As a result of the observed congruence between the features of the luxury industry and the aims of its acquisitions, LVMH made several successful acquisitions, including its largest-ever purchase - Tiffany & Co. As a result, the collected data identify the most important aspects that contribute to successful acquisition in the luxury industry. The findings contribute to the identification of a wide range of difficulties, enabling the optimization of luxury groups' acquisition strategies and ensuring their long-term development growth by combining these approaches while maintaining the independence and exclusivity of acquired brands.
Research on the Marketing Strategy and Future Development of Commercial Companies Based on 4Ps Theory: A Case Study of Apple
Authors: Rao Ningge
Published: January 2025

In 2022, Apple was the largest technology company by revenue, with US $394.3 billion. As of 2023, Apple was the fourth-largest personal computer vendor by unit sales, the largest manufacturing company by revenue, and the largest vendor of mobile phones in the world. Based on 4Ps marketing theories to analyze the management and the marketing method of Apple Inc and discover how and why it can become a such successful company. Furthermore, through 4p research, this paper may find out what the company's strengths are, and more importantly, find out the existing and potential issues in the area of price, product, place, and promotion strategies. Then gives out reasonable suggestions to improve the weaknesses. Meanwhile, evaluate the potential opportunities and the threats to Apple Inc. Overall, this paper provides a valuable insights in apples current marketing strategies in order to make apple company to become a sustainable success company and an role model for other companies seeking for a success.
Smart Governance in Shanghai in the Context of Public Health Emergencies
Authors: Ren Chunyan
Published: January 2025

Under the background of public health emergencies, how to conduct intelligent governance in Shanghai has become a focus issue. On this basis, by reviewing and analyzing literature and other research methods, this paper research the development status of Shanghais smart city and makes plans for the development direction and development strategy of Shanghais smart governance in the future. Post-COVID-19 pandemic, the prevailing smart governance in Shanghai reveals deficiencies in public health emergency warning systems and response mechanisms, inadequacies in the management of public health security information, an excessively prolonged longitudinal chain in public health emergency management, a need for enhancement in the intelligent governance of urban communities, and an urban transportation system ill-equipped to handle public emergencies. In order to deal with these problems and improve the smart governance system of Shanghai. Proposing ways to transform smart city governance under public health emergencies, correctly using big data, strengthening the analysis and integration of big data, optimizing the cross-part collaborative governance mechanism, building a smart health management platform, strengthening public participation, and enhancing information transparency. So as to improve Shanghai's ability to cope with public health emergencies.
Bvlgari's Marketing Strategies: From the Perspective of 4P and SWOT Analysis
Authors: Chen Chuanying
Published: January 2025

Renowned luxury brand Bvlgari has made a name for itself on the international scene because to its superb craftsmanship and distinctive fusion of traditional and modern design. This study explores Bvlgari's product offers, price, distribution methods, and promotional activities as it applies a 4P analysis to its marketing strategy. A SWOT analysis also highlights Bvlgari's disadvantages, such as a small market share and past PR issues, in addition to its advantages, which include its unique design philosophy and captivating brand narrative. Threats to growth come from fierce competition and shifting consumer preferences, while opportunities for expansion come from breaking into new sectors and using technology improvements.The report ends with suggestions on how Bvlgari might improve its marketing initiatives. These include focussing on the male market, modifying pricing tactics, and giving sustainability and social responsibility top priority. By employing these tactics, Bvlgari can stay ahead of the competition, handle market obstacles, and guarantee steady growth in the premium market.
The Perrys Black Ship Arrival after World War II: Unveiling the Reconstruction of Japanese Economy
Authors: Wei Baiyan
Published: January 2025

Japan has had two amazing turning points in its history, Perry's Black Ship and the economic miracle after WWII. Both helped Japan accomplish qualitative improvement and reform. The two may not seem to be directly related in history, but the similarities in history are always breathtaking. In addition, the negative impacts of both events for Japan share the same similarities. This essay will discuss the economic reforms and social changes that the Black Ships and World War II brought to Japan, allowing readers to learn more about the two turning points in the history of the Japanese economy and leading to reflections on the similarities. After researching and comparing the two time periods, it was found that both times had Japan under the control of other countries, and both caused great social reforms from traditional to modernized. The Japanese government was not a traditional country, but a modernized one. At the same time, the great transformation had a hard to reverse effect in Japan, with inflation, a widening gap between urban and rural areas, a decrease in the labor force (the suicide rate was the highest) and a disillusionment of the people with the government.
Apple's Marketing Strategy: Comprehensive Application and Strategic Analysis of the 4P Model
Authors: Wang Jiayi
Published: January 2025

As a world-leading technology company, Apple not only excels in technological innovation, but also has clever marketing strategies behind its success. Marketing is the most important way for Apple to promote its products. In order to explore one of the secrets of Apple's success, this paper first uses Porter's Five Forces Model to analyze Apple's current situation; then, with the 4P theory as the guiding framework, taking Apple as the research object, explores its marketing strategies in the four aspects of product, price, channel, and promotion to explore the logic behind its current achievements; then analyzes the competition in the industry that Apple is currently facing; finally, with the changes in the market environment and the rapid development of the technology industry, it proposes how Apple can continuously adjust its strategy. This study aims to analyze how Apple can maintain its market competitiveness from the perspective of marketing methods, and provide reference and reference for other corporate marketing.
Financial Fraud: Case Analysis and Strategic Recommendations for Market Integrity
Authors: Yin Chengeng
Published: January 2025

With the rapid development of the capital market, the problem of financial fraud has become increasingly prominent. In 2023, more than 30 listed companies in China will be punished for financial fraud, showing an upward trend. By analyzing five typical cases at home and abroad, this article reveals that financial fraud is common in companies of different industries and sizes. Based on the fraud triangle theory, the research explores the internal motivations of financial fraud and considers influencing factors such as corporate culture. The means of counterfeiting are becoming increasingly complex and covert, including inflating income, exaggerating assets, concealing debts, and manipulating profits. Some companies even introduce subsidiaries of well-known companies to act as customers to carry out false trade, or hire "professional" teams to customize counterfeiting plans. These actions have seriously damaged corporate reputation, market order and investor interests. This article aims to provide theoretical support for identifying and preventing financial fraud, help enterprises build risk prevention and control systems, and provide reference for the improvement of market supervision policies. Through an in-depth analysis of the motivations and means of fraud and the direction of regulatory improvement, this study hopes to contribute to building a fair, transparent, and stable capital market environment.
Analysis of the Influence of Personal Lifestyle on Well-Being
Authors: Lin Siying
Published: January 2025

Although current research has concluded that a person's happiness is related to many factors, such as the amount of sleep, exercise and so on; But there are many factors that have not been taken into account. In this study, a total of 15,977 subjects were included in the multiple linear regression equation, and the step-up regression method was used to reduce the correlation between variables. The results show that people should try more to enter "flow" in daily life, which is particularly closely related to the improvement of subjective well-being; In addition, life expectancy, travel times, inner circle of friends and alone time have significant effects on individual subjective well-being. In previous studies, many variables related to social attributes have not been considered in detail and properly divided. In this study, the social environment around an individual was clearly defined to provide a more accurate correlation, which provides clearer criteria for identifying mental health in the past and points the way for follow-up research.
Research on the Economic Effects of Childcare Costs on Womens Employment Decisions
Authors: Han Junying
Published: January 2025

The dynamics of female labor force participation is a critical factor in promoting economic sustainability. This study examines the impact of childcare costs on womens employment decisions, utilizing a comprehensive dataset encompassing 753 observations from the U.S. Womens Labor Force Participation Database. By employing a Multiple Linear Regression (MLR) model with interaction terms, this paper investigates various factors, including age, income, education level, number of children, and their influence on employment outcomes. The results indicate significant negative impacts of childcare costs on employment probabilities, particularly among mothers with young children, highlighting a critical barrier to labor market entry. The findings support the need for targeted policy interventions that reduce childcare costs and promote greater economic stability and gender equality in the labor force. By offering empirical evidence on the quantifiable impact of childcare expenses, this research contributes valuable suggestions to enhance womens labor market participation through supportive childcare initiatives and flexible work policies.
Discussion on Establishment Conditions of Adverse Possession in Different Regions
Authors: Ma Ruidi
Published: January 2025

As a common law legal concept, adverse possession plays an important role in maintaining transaction security, stabilizing economic order, saving transaction costs and reducing waste of resources, but its application is controversial because different regions, have different legal provisions and practices of adverse occupation. At the same time, as some jurisdictions face the balance between the protection of original owners rights and interests and the promotion of effective resource utilization,, the legal provisions regarding adverse possession are being abolished to meet the development needs of modern society. .These controversies have sparked the reflections and discussions presented in this article. This paper, through the research method of literature review, mainly studies different establishment conditions of adverse possession in different regions. Meanwhile, it explores the demand for social and economic development behind by the virtue of classic cases such as Van Valkenburgh v. Lutz. Evidently, the adverse possession involves legal, economic, social and other levels. Its research is not only helpful to understand the connotation and extension of the specific legal systems, but also has significant guiding implications for China's legal practice and legislative work.
Exploring Future Management Trends in the Entertainment Industry: Convergence, Innovation and Sustainability
Authors: Lin Yanna
Published: January 2025

The entertainment industry is undergoing rapid change as market demands change with technological advances, driven primarily by cross-industry convergence, technological innovation and sustainability issues. Therefore, the paper aims to explore the future trend in the entertainment industry, with a particular focus on the impact of convergence, innovation, and sustainability on industry management and the implementation of related strategies. In addition, through a literature review and case study approach, convergence, innovation and sustainability in the entertainment industry are examined, covering the entertainment sectors of film, television, music and gaming, as well as related management practices. The results indicate that cross-industry integration, particularly the fusion of traditional industries with technology and fashion, has significantly expanded content formats and audience reach in the industry. Technological innovations, especially in the application of high-definition (HD) technology, artificial intelligence (AI) and big data, have driven industry modernization and provided a more personalized user experience. Concurrently, the entertainment industry is driving sustainability efforts by minimizing environmental impact through eco-conscious production practices and the adoption of sustainable materials, reinforcing its commitment to social responsibility. In short, the study demonstrates that convergence, innovation, and sustainability will collectively influence the future of the entertainment industry, requiring management strategies that integrate these elements to effectively address challenges and promote sustainable growth.
Can Construction of Smart Cities Promote Cross-border Venture Capital Inflows? : Evidence from China
Authors: Gao Zhe
Published: January 2025

This study analyzes the influence of smart city development on cross-border venture capital investments. The author employs panel data from 280 prefecture-level and higher cities in China, spanning 2009 to 2021, utilizing the difference-in-differences (DID) model and the propensity score matching difference (PSM-DID) method. The results indicate that the construction of smart cities significantly promotes the inflow of cross-border VC, specifically reflected in the increase in both the quantities and values of cross-border VC inflows, and this effect is characterized by long-term persistence and a certain degree of lag. Upon evaluating spatial spillover effects, the development of smart cities continues to exert a substantial positive influence on local cross-border venture capital inflows, while simultaneously creating a siphon effect on adjacent cities. In megacities and megalopolises, the development of smart cities markedly increases the influx of cross-border venture capital, but this impact is less pronounced in big and medium-sized cities. In cities with elevated levels of research and education, the development of smart cities significantly influences cross-border venture capital inflows.
The Impact of Middle Eastern Turmoil on U.S. National Security: Causes, Consequences, and Countermeasures
Authors: Dong Mingyang
Published: January 2025

The Middle East remains a focal point of global attention due to its vast oil reserves, intricate ethnic and religious dynamics, and strategic geopolitical significance. The U.S., as the foremost economic and military power, holds considerable interests in the area. However, post-Cold War instabilityillustrated by the Iraq War, Arab Spring, and the emergence of ISISposes significant threats to U.S. national security. This study investigates the underlying causes of turmoil in the Middle East, assesses implications for U.S. national security, and suggests remedial actions. Utilizing historical analysis, current situational evaluations, and policy reviews, it uncovers fundamental causes of unrest and critiques U.S. policies. Furthermore, it proposes strategies to enhance U.S. engagement, including improved intelligence, fortified alliances, and initiatives for political reconciliation and economic development in the region.
A Rising New Standard for Currency: Economic Implications of Adopting Bitcoin in Developing Nations
Authors: Zhang Xinyu Catherine
Published: January 2025

Amidst uncertainties of the global economy and new ideals up in the air, new forms of currencies have emerged as a result of globalization. While fiat currency still prevails on the international stage, cryptocurrency has taken advantage to become a vital part of economies. The fact that each of these currencies has its own characteristics, strengths and weaknesses, and is not proportional to economic development has led to a wider debate on the relative benefits of each currency for developing countries. In particular, whether cryptocurrencies can help improve the economic situation in developing countries with their unique advantages. Even though there are limited case studies since cryptocurrency requires some barrier for adoption, theoretical arguments make it sound appealing. Through case studies of El Salvador, Central African Republics, and India with regard to tangible changes brought by cryptocurrency and policy changes, this paper explores how well the theoretical benefits have been implemented in practice. While many intricate factors are reacting to each other with such changes, making the results harder to evaluate with linear measurements, inherent shortcomings in implementations seem to be hindering the benefits of cryptocurrency. Therefore, the results show that the use of cryptocurrency as a legal tender may not lead to an improvement in the economic system and conditions in developing countries due to its high barrier to entry. In order to maximize the benefits of cryptocurrencies, there is a need to improve infrastructure to make cryptocurrencies more accessible.
Resilience and Sustainability in Global Supply Chains: Case Study of Apples Response to the COVID-19
Authors: Xu Tianjian
Published: January 2025

This study analyzes the impact of COVID-19 on global supply chains, with a particular focus on the manufacturing industry, and explores how manufacturing firms can improve supply chain resilience and sustainability. Using Apple as a case study, this study examined its response strategies in the face of disruptions, production stoppages, and logistics bottlenecks. Apple has mitigated the impact of the pandemic through measures such as diversifying its supply chain, strengthening supplier cooperation, and technological innovation. This study points out that despite the challenges Apple faced during the pandemic, it has achieved sustainable development of its supply chain through effective resource reuse and green innovation while ensuring production and bringing long-term benefits to the ecological environment and society. The study suggests that future research should expand the sample scope, conduct an in-depth analysis of the long-term impact of supply chain resilience, and strengthen research on the application of digital technology in supply chains to provide more accurate supply chain management recommendations.
Evaluating the Effectiveness of Monetary Policy: Insights from Economic Downturns and Unconventional Measures
Authors: Qin Yujia
Published: January 2025

This research examines how well monetary policy functions during economic downturns, particularly during the 2008 Global Financial Crisis and the COVID-19 pandemic. By analyzing data from major international institutions such as the World Bank, the International Monetary Fund, and central bank reports, the paper investigates key economic indicatorsGross Domestic Product (GDP) growth, inflation rates, unemployment, and interest ratesbetween 2005 and 2023. A Vector Autoregression (VAR) model is applied to explore the relationships among these variables. The findings suggest that past unemployment and interest rates do not consistently or significantly influence GDP growth, with only lagged unemployment showing a significant negative effect during the 2008 crisis. Inflation demonstrates limited persistence over time, with lagged inflation effects being mostly insignificant, although in certain instances, they weakly align with expected economic patterns. Unemployment influences inflation in various ways and the positive correlation between the two variables from 2018 to 2023 was statistically significant, which partially supports the Phillips Curve theory. Interest rate adjustments have a significant negative effect on inflation, but a hardly noticeable effect on GDP growth. These are the results showing the asymmetric efficiency of monetary policy tools over various crises which, in turn, highlights the fact of context-specific fiscal and monetary policies being adaptable.
Analysis of the Impact of Maximum Daily Stock Returns on Asset Pricing in the U.S. Stock Market
Authors: Zhao Yixian
Published: January 2025

Investor preferences for lottery-like stocks, influenced by psychological and economic factors, are often measured using the maximum daily stock return (MAX) as a proxy for extreme positive outcomes. This study explores how MAX affects asset pricing in the U.S. stock market from April 2014 to December 2023, using data from CRSP and Compustat. Through portfolio-level analysis, Fama-MacBeth regressions, and the Fama-French-Carhart four-factor model, the research analyzes the link between MAX and cross-sectional stock returns. The results showed that portfolios with the highest MAX exhibit higher average monthly returns in equal-weighted (EW) analysis, highlighting investors' inclination toward lottery-like stocks. However, the value-weighted (VW) analysis indicates no significant effect, suggesting that markets may price the risk associated with highest MAX stocks. This nuanced relationship underscores the importance of methodological considerations in interpreting asset pricing phenomena. Limitations include the focus on a single market and time frame, simplified behavioral proxies, and the exclusion of macroeconomic factors. Future research should explore MAX across diverse markets, extend temporal analyses, and integrate additional behavioral and macroeconomic variables to enhance the robustness of findings and deepen insights into asset pricing dynamics.
The Relationship Between Investor Sentiment and Chinese Stock Prices
Authors: Lu Zhengtong
Published: January 2025

We use data from 2003 to 2023 to investigate the effect of investor sentiment on Chinas stock market. First, we find a positive correlation between investor sentiment and stock market prices: when investor sentiment is higher, market prices tend to rise, while lower investor sentiment tends to decrease market prices. Our research can help enhance investors understanding of the stock market. Individual investors and researchers may more accurately predict short-term and long-term trends by analyzing the relationship between investor sentiment and stock market prices. Furthermore, our paper aims to improve investors risk awareness and promote a rational investment approach. With more investor education, investors can assess market fluctuations more rationally and avoid blindly following trends or panic selling, thereby contributing to market stability. Moreover, by acknowledging the influence of sentiment on market behavior, policymakers and regulators can better anticipate market reactions to various stimuli and devise more effective interventions to mitigate potential market disruptions.
What are the potentials of interorganizational collaborative management research in mobilizing leadership agency?
Authors: Rohwedder Jan , Frimann Søren
Published: January 2025

Interorganizational collaborative management research (ICMR) offers new insight into action research, reflexivity, and collaboration in research practice. The article develops the research area especially in terms of uniting managers from different organizations with researchers, and outlines how ICMR creates a psychologically safe learning and development space. Our study introduces an interorganizational learning and development space, where managers from diverse organizations collaborate to develop their leadership capabilities and perform actions in heir own organizational systems, supported by a systematic research design collecting qualitative data. We provide a description of ICMR as a research approach, outline our methodology for ICMR and illustrate the outcomes of an ICMR project, discussing learning mechanisms, strengths, challenges, and opportunities for future development in the field.
Student Interest in Learning the SKI Course Material: How is it Related to Self-Confidence among PAI Students?
Authors: Zulfikar Robi , Sunarto Sunarto , Baharudin Baharudin , Susilawati Beti , Latifah Sri , Azizah Nurul
Published: January 2025

This research aims to examine the relationship between self-confidence and interest in learning in the 5th semester of Islamic Religious Education (PAI) students at Raden Intan Lampung State Islamic University in the History of Islamic Culture course for the 2024/2025 academic year. This research uses a quantitative approach with ex-post facto methods. The research sample consisted of 81 students selected using simple random sampling techniques from a population of 414 students. Data collection was carried out using a Likert scale questionnaire, which had been tested for validity and reliability. Data analysis was carried out using IBM SPSS Statistics 23, including normality, homogeneity, linearity, heteroscedasticity tests, as well as hypothesis tests (t test, F test, and coefficient of determination). The research results show that self-confidence has a significant and linear relationship with interest in learning, with a significance value in the F test of 0.261 and in the t test of 0.000. The coefficient of determination shows that self-confidence influences interest in learning by 10.7%, while the rest is influenced by other factors. This research confirms the importance of self-confidence in increasing students' interest in learning. Lecturers are advised to use learning methods that support the development of self-confidence, such as interactive discussions and guidance programs that motivate active involvement in learning.
The Relationship Between Self Esteem and Learning Independence?
Authors: Sintia Anna , Baharudin Baharudin , Hijriyah Umi , Hasanah Uswatun , Saputra M. Indra , Azizah Nurul
Published: January 2025

This research aims to examine the relationship between self-confidence and interest in learning in the 5th semester of Islamic Religious Education (PAI) students at Raden Intan Lampung State Islamic University in the History of Islamic Culture course for the 2024/2025 academic year. This research uses a quantitative approach with ex-post facto methods. The research sample consisted of 81 students selected using simple random sampling techniques from a population of 414 students. Data collection was carried out using a Likert scale questionnaire, which had been tested for validity and reliability. Data analysis was carried out using IBM SPSS Statistics 23, including normality, homogeneity, linearity, heteroscedasticity tests, as well as hypothesis tests (t test, F test, and coefficient of determination). The research results show that self-confidence has a significant and linear relationship with interest in learning, with a significance value in the F test of 0.261 and in the t test of 0.000. The coefficient of determination shows that self-confidence influences interest in learning by 10.7%, while the rest is influenced by other factors. This research confirms the importance of self-confidence in increasing students' interest in learning. Lecturers are advised to use learning methods that support the development of self-confidence, such as interactive discussions and guidance programs that motivate active involvement in learning.
Analisis Pemanfaatan Media Sosial Bandcamp sebagai Sarana Interaksi Virtual Band Indie
Authors: Aurelleo Daffa
Published: January 2025

Musik, sebagai produk budaya yang dinamis, terus berkembang dan beradaptasi dengan kebutuhan manusia. Awalnya bersifat sakral, musik kini berfungsi sebagai hiburan dan ekspresi diri, terutama dalam skena musik indie. Skena ini mendukung interaksi independen antara musisi, penikmat, dan ekosistem musik. Dimulai di Indonesia pada 1980-an, musik indie tumbuh dari idealisme kebebasan dari dominasi industri musik arus utama. Digitalisasi kini menjadi pendorong utama perkembangan musik indie, memungkinkan musisi memanfaatkan internet dan media sosial, seperti Bandcamp, untuk produksi, pemasaran, dan interaksi langsung dengan pendengar. Platform ini menyediakan fitur listening party yang memungkinkan umpan balik langsung, mendukung keberlanjutan musisi independen. Digitalisasi juga membuat musik lebih mudah diakses, berkontribusi signifikan pada ekonomi musik, dan mencerminkan antusiasme masyarakat terhadap budaya musik yang terus berkembang. Penelitian ini menggunakan metode kualitatif deskriptif dengan pendekatan etnografi virtual, melibatkan pengguna fitur listening party di Bandcamp dan acara “SDR-37 Sonic Archive Fleuro Listening Party.” Data dikumpulkan melalui observasi partisipatif, wawancara, dan studi dokumentasi. Hasil menunjukkan adanya interaksi virtual berupa komunikasi sosial asosiatif yang positif, serta elemen aktivisme digital yang menjadi dasar aktivasi listening party oleh band indie.
Pengembangan Media Poster Cagar Budaya di Koto Sentajo Berbasis Augmented Reality dalam Pembelajaran Sejarah pada Materi Masuknya Islam Ke Indonesia Kelas X SMAN 1 Sentajo Raya
Authors: Lestari Nurihsani Puji , Suroyo Suroyo , Yuliantoro Yuliantoro
Published: January 2025

Penelitian ini mencoba mengembangkan media poster cagar budaya di Koto Sentajo berbasis augmented reality dalam pembelajaran sejarah pada materi masuknya slam ke Indonesia kelas X SMAN 1 Sentajo Raya. Jenis penelitiannya yaitu Penelitian Pengembangan (Research & Development) dengan model pengembangan ADDIE yang dibagi menjadi lima tahapan yaitu Analisis (Analyze), Perancangan (Design), Pengembangan (Development), Penerapan (Implementation) dan Evaluasi (Evaluation). Penelitian ini dilakukan di SMA N 1 Sentajo Raya dengan subjek uji coba kelompok kecil berjumlah 10 orang dan kelompok besar 32 orang. Hasil penelitian menunjukkan bahwa 1) pada proses pengembangan tercipta media poster cagar budaya di Koto Sentajo berbasis augmented reality dalam pembelajaran sejarah pada materi masuknya slam ke Indonesia kelas X SMAN 1 Sentajo Raya; 2) hasil uji kelayakan secara keseluruhan media poster cagar budaya berbasis augmented reality memperoleh persentase 90% dari ahli materi, 93,84% dari ahli media, 86,6% penilaian siswa uji coba kelompok kecil serta 87,08% penilaian siswa uji coba kelompok besar dengan kategori keseluruhan “sangat layak”.
NECESSARY AND SUFFICIENT CONDITIONS OF OPTIMALITY FOR HYPERBOLIC EQUATION WITH NON-LOCAL BOUNDARY CONDITIONS
Authors:   University Duisburg-Essen, Department of Mathematics,Nonlinear-Optimization,Thea- Leymann str.9,45357, Essen, Germany, Ramazanova Aysel , Yusubov Shakir ,   Baku -State University, Department of Optimal Control Problem,Baku, Azerbaijan, AZ1148, Z.Khalilov 23
Published: January 2025

The theory of boundary value problems for hyperbolic equations
is one of the most important sections of the theory of partial differential equa-
tions, which is explained both by the theoretical significance of the results and
by the presence of their practical applications in gas dynamics, in the theory
of infinitesimal bendings of surfaces, in the momentless theory of shells, in
magnetic hydrodynamics, mathematical biology and other areas.
In the XX century in connection with applied technical and economic needs,
it became necessary to solve control and optimization problems. The most fa-
mous works in this area are J.I. S. Pontryagin and his students V. G. Boltyan-
skiy, R. V. Gamkrelidze, E. F. Mishchenko, studied issues of control of pro-
cesses described by systems of ordinary differential equations [18,19].
Further development of applied research leads to the need to control ob-
jects, the behavior of which is described using methods with partial differential
equations. The corresponding control problems were considered in the works
of A.G Butkovsky and co-authors [3,4], A.I Egorov [6-9], J.-L. Lyons [12], K.
A. Lurie [13], T. K. Sirazetdinov [20], as well as V. A. Ilyin and E. I. Moiseeva
[21,22], [14,15], A.T.Ramazanova [26], Kuliyev Hamlet [27].
Optimal control problems for the processes described by hyperbolic differ-
ential equations are encountered in various applications [1,2]. Such problems
have been most fully investigated in cases where the boundary conditions for
the equations of state are classical. However, there are numerous problems
in physics, technology, biology, etc., in which the processes are described by
hyperbolic equations, where the boundary conditions are nonclassical or non-
local [23,24]. Among the nonlocal boundary value problems for the hyperbolic
equations , a special place is occupied by boundary value problems with inte-
gral boundary conditions [25]. Optimal control problems for hyperbolic-type
equations with nonlocal boundary conditions, including those with integral
boundary conditions, have been little studied.
The Impact of Online Ticket Booking Platform Quality on Customer Satisfaction
Authors:   Asia Cultural Creativity Inst., Son Minkyung , An Namil
Published: January 2025

As performing arts culture rapidly expands, the quality of online ticket booking platforms is becoming increasingly important. This study analyzes the relationship between platform quality and customer satisfaction, focusing on how customers perceive platform quality. Surveys were conducted with consumers who have experience with online ticket bookings, and multiple regression analysis was used to evaluate the impact of platform quality on satisfaction. Results show that information quality, system quality, and service quality all positively affect customer satisfaction, with system and service quality having a greater impact than information quality. This suggests that consumers value the platform’s stability, usability, and service quality. The study also found that while information quality was rated highest by customers, service quality still requires improvement. Based on these findings, the study emphasizes the need for service quality enhancements, such as simplifying refund policies and reducing customer inconvenience. It also suggests developing personalized recommendation systems to improve overall platform quality. This research aims to contribute to the future development of online ticket booking platforms, supporting the growth of performing arts culture and increasing consumer satisfaction.
APPLICATION OF ANALYTICAL TECHNIQUES, PHYSICOCHEMICAL AND THERMAL ANALYSIS FOR DETECTING THE PRESENCE OF PARAFFIN IN BEESWAX (Apis mellifera Linnaeus)
Authors: Santos Kelinton Candido dos , Carvalho Stephan Malfitano , Carvalho César Freire
Published: January 2025

This study analyzed the chemical composition of beeswax with different amounts of paraffin using FTIR, DSC, and physicochemical analyses. Samples with paraffin proportions ranging from 1.5% to 48% were examined. FTIR, combined with PCA and HCA, identified paraffin in the sample with 6.0% paraffin, showing the sensitivity of FTIR in detecting this additive in beeswax. The acidity index decreased as the paraffin content increased, attributed to the dilution of natural organic acids by paraffin. The saponification index was ineffective in detecting paraffin due to similarities with fatty acid esters in beeswax. DSC analysis revealed that higher paraffin content lowered the wax's melting temperature, consistent with paraffin's properties. Overall, FTIR, acidity index analysis, and DSC were successful in detecting paraffin in beeswax, providing a reliable approach to assess chemical composition and thermal properties. This is essential for ensuring the quality and authenticity of beeswax-based products.
So sánh sự phù hợp của các mô hình phân phối xác suất đối với cường độ chịu nén của bê tông có xét tới ảnh hưởng của hiệu ứng kích thước
Authors: Khoa Hồ Ngọc , Hải Trần Hồng , Minh Lê Văn , Tới Phạm Tiến , Tuấn Vũ Anh , Hà Lê Hồng , Tiến Lê Đình , Công Vũ Chí
Published: January 2025

Bài báo trình bày kết quả nghiên cứu so sánh về sự phù hợp của ba mô hình phân phối xác suất: phân phối chuẩn, phân phối log-normal và phân phối Weibull đối với cường độ chịu nén của bê tông có xét tới ảnh hưởng của hiệu ứng kích thước trên bộ dữ liệu gồm 240 giá trị cường độ thực nghiệm. Các mẫu trụ bê tông với bốn loại kích thước được chế tạo từ hai cấp phối khác nhau. Kết quả nghiên cứu đã chỉ ra rằng: (i) với bất kể cấp phối bê tông và kích thước của mẫu thí nghiệm như thế nào, thì phân phối chuẩn đều cung cấp mô hình phân phối xác suất phù hợp nhất đối với cường độ nén của bê tông cũng như sự phụ thuộc của nó vào kích thước của mẫu thí nghiệm; (ii) dưới tác dụng của hiệu ứng kích thước, phân phối xác suất của cường độ nén của bê tông cũng bị ảnh hưởng bởi kích thước của mẫu; và (iii) sự phụ thuộc vào kích thước của phân phối xác suất đối với cường độ nén của bê tông có thể được diễn giải thông qua phân phối chuẩn và phân phối log-normal, nhưng không thể diễn giải bằng phân phối Weibull.
Effect of Residence Time on Liquid Product Yield through a Designed Pyrolysis Reactor with Six Series-Connected Condensers
Authors:   School of Renewable Energy, Maejo University, Saramath Sommai , Chanathaworn Jutaporn ,   School of Renewable Energy, Maejo University, Jaisin Chawaroj ,   School of Renewable Energy, Maejo University, Polvongsri Sarawut ,   School of Renewable Energy, Maejo University
Published: January 2025

The objective of this study was to investigate the effect of residence time on the product yields of multilayer plastic (ML) waste through pyrolysis using a household reactor. The system employed six series-connected condensers operating without cooling water for heat transfer. The research focused on determining the optimal residence time within the range of 60–120 min, with a heating rate of 5–15°C/min. Liquefied petroleum gas (LPG) served as the primary fuel for the pyrolysis process, while non-condensable gases were recirculated into the burner as supplementary fuel. The study analyzed the characteristics and quantities of the resulting products: solid residue, liquid oil, and non-condensable gases. The results indicated that the proportion of non-condensable gases ranged from 27.1% to 47.1%, while the liquid yield condensed from four of the six condenser tubes varied between 46.5% and 59.1%. The pyrolysis of ML waste produced solid residue ranging from 6.8 % to 13.8 % of the total products. The residence time significantly influenced the liquid yield, with the maximum liquid product of 591 g per 1 kg of ML feedstock obtained at a residence time of 60 min. To characterize the liquid product as biofuel oil, its chemical composition was analyzed using distillation gas chromatography (DGC) and gas chromatography-mass spectrometry (GC/MS). The analysis revealed that the liquid product contained fuel oil components, including kerosene, diesel oil, benzene, and fuel oil. Additionally, the liquid product exhibited a high heating value of 10,691 cal/g. Furthermore, substituting pyrolysis gas for LPG significantly reduced LPG consumption. This study provides valuable insights into the development of community-based pyrolysis systems.
Solving the Scheduling Problem of Stainless Steel and Alloy Factory: A Case Study of Stainless Steel and Alloy Factory in Uttaradit Province
Authors:   Industrial Technology Program, Faculty of Industrial Technology, Uttaradit Rajabhat University, Phuk-in Adul
Published: January 2025

This study addresses production scheduling inefficiency in stainless steel and alloy manufacturing by developing mathematical models and employing Greedy (GdyA) and Genetic Algorithms (GA). A 23-factorial design tested GA efficiency, optimized by ANOVA analysis. Genetic Algorithm (GA) methods are to establish a program for production scheduling. The research found that the small problem would get the appropriate parameter value. Optimal GA parameters varied with problem size: the smaller problems favoured a population of 50 or 200 generations, crossover of 1, and mutation of 0.3, while the larger problems performed best with a population of 200 or 50 generations, crossover of 1, and mutation of 0.3. This study is in line with the objective of giving factories an alternative to use the results of the production scheduling answer values ​​to solve the problem. This approach effectively tackles the NP-Hard nature of production scheduling, with GA consistently finding solutions matching the minimum bound. GdyA also achieved the minimum bound in 50% of the tested cases. It can be implemented in a real-world setting. Optimized GA consistently delivered optimal scheduling solutions over three months, confirming the potential to significantly enhance production efficiency.