bluuebunny/crossref_metadata_2025 huggingface dataset:
Results-Based Management Model to Improve the Modernization of Public Management in Peruvian Local Governments
Authors: Ríos Marco Antonio, Lozano , Bardales José Manuel Delgado
Published: January 2025

The objective was to determine a results-based management model to improve the modernization of public management in the District Municipality of Jepelacio in 2024. This is an applied, non-experimental, quantitative approach, cross-sectional, descriptive and propositional study, with a population of 51 workers and a sample of 39, to whom the survey technique and the questionnaire technique were applied as an instrument. Results: management by results was characterized as medium level with 50.98 %, and its dimensions are planning (50.98 %), program management (47.06 %), financial-budgetary management (50.98 %), monitoring and evaluation (49.02 %), and the characteristics of the modernization of public management indicate that it is at a medium level with 52.94%, and its dimensions are administrative simplification (52.94%), administrative areas (54.90%), management by processes (47.06%), and citizen participation (60.98%). In conclusion, the results-based management model to improve the modernization of public management is based on process optimization, quality management, and capacity building.
Conflict on Issuance of Land Certificates in Conservation Area: Legal Responsibility of BPN
Authors: Akif Irsan Haerudin , Wahid AM Yunus , Pide Andi Suriyaman M. , Bachri Syamsul , Sarni Asri Sarif,
Published: January 2025

Land Conflicts can occur due to practices of eliminating local people's recognition (rights) to land and the natural resources that accompany it, which can be caused by differences in maps owned by the Ministry of Forestry and the Environment with maps owned by the National Land Agency so that there are certificates of ownership that have been issued that are included in the national park area. The research method used is normative legal research, namely legal research conducted by examining library materials or secondary data from government and private agencies, reports of existing study results, and other relevant sources. This research concludes that the issuance of land title certificates by the BPN is a legal act in the field of State Administration. Any attempt to certify the same land can be immediately known and prevented by the BPN. Before or after determining a conservation area on community-owned land, the government first conducts an inventory of the rights in the region, which aims to collect land owned by the community in the conservation area whose legal status will be determined and provide a solution. Suppose a certificate's physical data and legal data can be proven legally/legally flawed or incorrect. In that case, it will be canceled by a decision of the State Administrative Court. The responsibility of the BPN for certificates that have been canceled by the State Administrative Court, which has legal force, must be followed up to revoke or cancel the certificate.
От созерцания к действию
Authors: Петровская Е.
Published: January 2025

В работе рассматриваются три основных блока вопросов: 1) единство природного и социального; 2) образы действия; 3) особая семиотика сил. Мысль о единстве природного и социального проводится на основе размышлений П.А. Кропоткина о таком материалистическом методе мышления, который позволяет рассматривать «изучение общественных учреждений как один из отделов естественных наук». Материализм предстает вариантом антиметафизической философии, в том числе и в свете новейших его разработок. В качестве образов действия берутся идеи о революции как способе трансформации социальной материи (тот же Кропоткин) и философия поступка М.М. Бахтина. У Бахтина акцент ставится на «единый план» поступка, не позволяющий разделять мир культуры, где действие всегда объективировано, и мир жизни, где оно совершается. Наконец, проблема семиотики сил относится к тем способам фиксации изменений материи, которые находятся в откровенной оппозиции к традиционным лингвистическим моделям знака. В связи с этим особого внимания заслуживают понятия образа у Спинозы и Делёза и знака, как его интерпретирует Ч.С. Пирс.

The essay deals with three main groups of questions, i.e.: 1) continuity between nature and society; 2) images of action; 3) a special semiotics of forces. The idea of a continuity between nature and society is based on Peter A. Kropotkin’s vision of a material method that has “included the study of social institutions in the sphere of natural-scientific investigations”. Materialist philosophy in general appears as anti-metaphysical, including its most recent versions. An exploration of action brings together the understanding of revolution as a means of transforming social matter (again, the reference is to Kropotkin) and a reading of M.M. Bakhtin’s philosophy of the act. Bakhtin emphasizes the “unitary plane” of an act, which does not allow to split apart two worlds, namely, the world of culture, where an act is always objectified, and the world of life, where it is actually performed. Finally, a semiotics of forces has to do with ways of registering material changes that stand in stark opposition to traditional linguistic models of signs. In this perspective special attention is given to the concept of image according to Spinoza and Deleuze as well as to Charles Sanders Peirce’s semeiotic.
Письма из поля: принципы ленинградской этнографической школы и советская реальность
Authors: Вахтин Н. , Лярская Е.
Published: January 2025

с 1918 года бывшие политические ссыльные, этнографы-североведы (вначале Л.я. штернберг, затем В.г. Богораз и другие) начали систематически учить молодое поколение этнографов — до 1925 года в географическом институте, затем на географическом факультете Ленинградского университета. Учебная программа была нацелена преимущественно на подготовку полевых исследователей и строилась исходя из нескольких принципов: совмещение научно-исследовательской и административной работы на севере, стационарный метод исследования, обязательное знание языков изучаемых народов, бережное и уважительное отношение к ним и др. эти принципы уходят корнями в народническую идеологию, однако в условиях неопределенности и постоянно меняющейся идеологии новой власти 1920-х — начала 1930-х годов они неизбежно начали входить в противоречие с реальностью. В статье на материале писем учеников Богораза и штернберга своим учителям из поля подробно разбирается процесс адаптации «народнических» принципов ленинградской этнографической школы к новой советской реальности, рассматриваются непростые отношения молодых этнографов и центральной и местной власти.

Since 1918, former political exiles, ethnographers and experts in Siberian indigenous minorities L.Ya. Sternberg, V.G. Bogoraz and others began to systematically train the younger generation of ethnographers, first at the Geographical Institute, then at the Geographical Faculty of Leningrad State University. The curriculum was aimed primarily at training field researchers and was based on several principles: the combination of research and administrative work in the North, the longitudinal fieldwork, mandatory knowledge of the languages of the peoples being studied, careful and respectful attitude towardsthem, etc. These principles were rooted in the Narodnaya Volya ideology; however, in the conditions of uncertainty and the constantly changing ideology of the new government in the 1920s — early 1930s, these principles inevitably began to conflict with reality. The article, based on letters from students of Bogoraz and Sternberg to their teachers “from the field”, examines in detail the process of adaptation of the “populist” principles of the Leningrad ethnographic school to the new Soviet reality, and examines the complicated relationship between younger ethnographers and the central and local authorities.
Um “despertar” para a leitura literária na educação básica
Authors: Oliveira Geuvana Vieira de , Oliveira Ilca Vieira de , Rogrigues Viviane
Published: January 2025

Neste artigo objetivamos realizar reflexões sobre a leitura literária e as práticas de ensino de literatura, de forma a contribuir com as exigências da sociedade na atualidade. O ensino de literatura, de maneira geral, apresenta problemas de ordem teórica e metodológica, com destaque, sobretudo para as deficiências na formação do docente e na ausência de leitura de literatura na escola. Esses problemas foram observados em atividades desenvolvidas na disciplina de Estágio Supervisionado no curso de Letras/Português, no Mestrado Profissional (PROFLETRAS) e no projeto do PIBID no âmbito das salas de aula das escolas públicas situadas no norte de Minas Gerais. Este trabalho busca, por meio da discussão de resultados de pesquisa concluída, discutir algumas questões que se relacionam à leitura, à formação de leitores e ao ensino da leitura de literatura na escola.
Teoria da inclusão: o que a Matemática tem a ver com isso?
Authors: Lanuti José Eduardo de Oliveira Evangelista , Mantoan Maria Teresa Eglér
Published: January 2025

Neste texto tratamos de incongruências existentes entre o significado de certos termos matemáticos, especialmente os referentes à Teoria dos Conjuntos, e a compreensão do sentido da inclusão como novo paradigma que refuta toda e qualquer forma de representação e enquadramento das pessoas a partir de critérios externos. Por meio de dez sentenças, exemplos matemáticos e explicações baseadas na filosofia da diferença deleuzeana, contrapomos o sentido da inclusão social e, especificamente, da inclusão escolar, com as ideias de agrupamentos, conjuntos, intersecções, pertencimento e diferença entre, pelas quais a inclusão vem sendo inadequadamente tratada. Nosso intuito, com essa problematização, é trazer ao conhecimento do leitor a sustentação do que é a inclusão evidenciada por meio de exemplos criados a partir de uma ciência exata. Concluímos que o uso indiscriminado de expressões que pertencem à Teoria dos Conjuntos, na tentativa de explicar a inclusão, contribui para que persistam entendimentos equivocados da “Teoria da inclusão”.
Crypto Arbitration: Is It Really a Thing?
Authors: Sievi Nino , Donzelli Viola
Published: January 2025

Drawing on their research into a series of public cases and providing an
account of selected cases from their own practice, Nino & Viola convincingly
establish the existence of what they call ‘crypto arbitration’. They primarily
explore how conventional arbitration methods effectively resolve these
crypto disputes, shedding light on the peculiarities and recurring challenges they entail.
Developing Legal Frameworks for Dispute Resolution in the Digital Age
Authors: Takashima Takashi
Published: January 2025

Takashi Takashima discusses how advancements in technology not only require arbitrators to have a deeper understanding of technical intricacies but also to raise concerns regarding the efficiency and fairness of dispute resolution processes. This has prompted the United Nations Commission on International Trade Law (UNCITRAL) to undertake initiatives aimed at addressing the challenges posed by digitalization in dispute resolution. Specifically and first of all, Takashi explores two ongoing projects within UNCITRAL: the legislative work conducted by Working Group II on technology-related dispute resolution and adjudication, and the project focused on assessing developments in dispute resolution within the digital economy (DRDE project). Through an analysis of these initiatives, Takashi provides valuable insights into how UNCITRAL is poised to balance the utilization of digital technologies in dispute resolution,
ensuring that traditional norms are upheld as necessary safeguards while embracing technological advancements to foster a more efficient and equitable international trade law landscape. How this should be done has recently been the subject of intense debate, and opinions are divided. For example, should the New York Convention be amended to address the requirements for the recognition and enforcement of electronic awards? Takashi notes that this is under discussion and that WGII is working towards creating greater legal certainty on this matter, thereby supporting digitalization.
Caractéristiques Structurales et Résilience Ethnobotanique des bois Sacrés des Communesde Kozah 1 et 2, Région de la Kara au Nord TogoCaractéristiques Structurales et Résilience Ethnobotanique des bois Sacrés des Communesde Kozah 1 et 2, Région de la Kara au Nord Togo
Authors: TCHAO Essohanam Jean , ATATO Abalo , SOUSOU Tatongueba
Published: January 2025

Les bois sacrés des communes Kozah 1 et 2 dans la préfecture de la Kozah bénéficient ces dernières années desmesures de protection et de gestion au regard de leur importance écologique et environnementale. La présente étudemet l’accent sur les caractéristiques écologiques des bois sacrés, et leur résilience ethnobotanique afin de proposerdes stratégies adéquates de gestion durable des espèces pionnières. Au cours de cette étude, des relevésphytosociologiques portant sur 08 bois sacrés ont été faits dans 45 placeaux de 30 m x 30 m suivi d’une enquêteethnobotanique auprès des chefs coutumiers et prêtres traditionnels. La hauteur moyenne est évaluée à 10,3 m avecune surface terrière moyenne de 23,425 m²/ha et un diamètre moyen de 63,7 cm. La densité totale moyenne desdifférents bois sacrés s’élève à 892,8 pieds/ha. Les pressions météorologiques et les rapports entre l’homme et cesbois sacrés influencent de manière continue, la dynamique de ces derniers.
 
The sacred groves of the Kozah 1 and 2 communes in the Kozah prefecture have benefited in recent years fromprotection and management measures because of their ecological and environmental importance. This study focuseson the ecological characteristics of sacred woods, and their ethnobotanical resilience in order to propose adequatestrategies for the sustainable management of pioneer species. During this study, phytosociological surveys of 8 sacredgroves were carried out in 45 plots of 30 m x 30 m followed by an ethnobotanical survey of customary chiefs andtraditional priests. The average height is estimated at 10.3 m with an average basal area of 23.425 m²/ha and anaverage diameter of 63.7 cm. The average total density of the different sacred groves amounts to 892.8 plants/ha.Meteorologica
Research the Reasons for BiliBilis Success
Authors: Zhang Tianyi
Published: January 2025

BiliBili has grown into a successful commercialization and sustainable growth example in the digital l entertainment industry since its listing on NASDAQ in 2018. In this study an attempt has been made to examine the factors that have contributed to BiliBilis success, specifically, the companys unique business model, community centered approach, and e-sports initiatives. The paper went on to a deep analysis of BiliBili's diversity of offerings, including Professional User Generated Videos (PUGV), Occupationally Generated Videos (OGV) and its active user community consisting mainly of Generation Z. This paper identifies the mechanisms that have propelled Bilibili's consistent user engagement, and revenue growth, by evaluating the company's marketing strategies, its unique PUGV+OGV content model, and its content ecosystem. In addition, a SWOT analysis of BiliBili identifies the strengths of diversified monetization channels, as well as challenges and opportunities in the forming market. It turns out BiliBilis forray into e-sports is an area of untapped revenue that drives through innovative ways of using brand sponsorships, player endorsements, event hosting and content production all of which contribute big to its revenue. Besides the insights provided in the development trajectory of BiliBili itself, this study also represents valuable references to other emerging digital platforms pursuing sustainable business practices or community driven growth strategies.
The Impact of Key Terms in Business Marketing on Corporate Marketing Strategies: A Case Study of McDonalds
Authors: Wei Siyu
Published: January 2025

In the context of increased competition in the fast food industry, enterprises need to continuously optimize their marketing strategies to maintain a competitive edge. The paper examines the role of corporate marketing key terms in corporate marketing strategies, using a case study approach to analyze the practical application of key terms in the brand positioning and marketing strategies of McDonalds as an example. Moreover, in this paper, the emphasis is placed on the impact of these key terms on consumers attitudes, behavioral choices, brand awareness and loyalty, and McDonalds competitive advantage in the global marketplace. As such, the study demonstrates how McDonalds utilizes these concepts for effective market segmentation, cross-cultural marketing and advertising communication, which may provide a reference for other brands to optimise their marketing strategies. The results suggest that a deeper understanding and flexible use of these key terms can assist enterprises in maintaining competitiveness in a swiftly evolving market landscape. Further research can investigate the potential for the application of key terms in emerging markets and digital marketing.
Research on the Predictability of Asset Returns
Authors: Zhang Yuqi
Published: January 2025

As is widely recognized, the predictability of asset returns is a pivotal issue in finance, holding significant value for both practitioners and researchers alike. This paper sets out to examine the conditions under which the prediction of asset returns is feasible and to critique the challenges related to forecasting future returns. By delving into historical data and conducting a meta-analysis of previous empirical research, we assess the efficacy of various predictive models across different market environments and across a spectrum of asset classes. Our findings suggest that while some degree of predictability is achievable within any economy, it is intrinsically linked to the economic climate and, consequently, the prevailing market conditions. Furthermore, we scrutinize the limitations inherent in some contemporary models, including issues such as data mining bias and the effects of perpetually shifting market dynamics on predictive accuracy. This critique underscores the necessity of overcoming these limitations and underscores the importance of developing more resilient models capable of adapting to evolving market environments, thereby enhancing the reliability of predictions.
Analysis of the Bill of Lading in International Trade and Its Progress and Prospects for Future Development
Authors: Wu Zixuan
Published: January 2025

Although the bill of lading is only a component of the international trade process, it establishes rules and details for the subsequent trade and transportation procedures, and clarifies the division of interests. However, disputes and loopholes often arise in international trade, and an analysis starting from the bill of lading itself reveals that paper bills of lading have caused some hidden dangers and problems. This paper proposes the possibility of improving to an electronic bill of lading in response to this situation, and through collecting information and understanding cases, it finds that the advantages of electronic bills of lading are significant, while also considering the possible problems that electronic bills of lading may face. But ultimately, this study believes that compared to paper bills of lading, electronic bills of lading have significant advantages, but require more time to complete official recognition, technical improvement, and sufficient practical experience. The development of electronic bills of lading is significant, and for this reason, electronic bills of lading still need more time to improve themselves.
Business Model Analysis of Cross-Border E-Commerce Based on Flexible Supply Chain-- Taking SHEIN as an Example
Authors: Li Yuemeng
Published: January 2025

SHEIN, a global B2C fast fashion e-commerce company focused on women's apparel, has expanded its offerings to include men's, children's, and accessories. Founded in 2008, SHEIN has grown rapidly to become one of the world's most popular online fashion retailers, especially among young consumers. By utilizing its flexible supply chain and cross-border e-commerce model, it has achieved significant market share, recently becoming the most visited fashion brand globally in terms of online traffic. This popularity is attributed to a highly flexible, technology-driven supply chain that allows Shein to quickly respond to changing fashion trends through small-volume, high-frequency product releases to meet consumer demand for personalized fashion. In addition, Shein's cross-border e-commerce infrastructure enables it to efficiently deliver products to global customers at competitive prices. Based on the above background, this paper will elaborate on the current cross-border e-commerce environment through the literature analysis method and analyze SHEIN's business model strengths and weaknesses in depth on this basis. For its possible deficiencies in flexible supply chain management, this paper will also propose some feasible solutions, with a view to providing valuable references and lessons for SHEIN and other similar cross-border e-commerce brands.
Development Strategies for Business Management Informationization in the Era of the Digital Economy: A Case Study of Zhejiang Province
Authors: Zhu Liye
Published: January 2025

With the rapid advancement of information technology, traditional business management models are facing unprecedented challenges, and companies must promptly adjust to adapt to the fast-changing market environment. Therefore, this paper focuses on the development strategy of enterprise management informatization in Zhejiang Province in the digital economy era. As a leading region in economic development, Zhejiang Province faces multiple pressures, such as optimizing resource allocation and intensified market competition, making it urgent to achieve transformative management practices through informationization. The implementation of development strategies for business management informationization is an essential path for Zhejiang Province's high-quality economic development, with profound practical significance and forward-looking value. Through in-depth reading and analysis of relevant literature, it becomes clear that informationization is not only a key factor in enhancing management efficiency and decision-making capabilities but also the foundation for promoting innovation and competitiveness. By strengthening emphasis on and investment in informationization construction, Zhejiang Province can effectively respond to market changes, seize opportunities presented by the digital economy, and realize the optimization and upgrading of its economic structure.
Application of Machine Learning and Deep Learning Algorithms on Stock Price Forecasting - The Case of Tesla
Authors: Yin Siyu
Published: January 2025

The application of mathematical models, such as ARIMA and the exponential smoothing model, has covered a wide range of financial analyses to meet the increasing demand for understanding financial assets. In spite of their efficiency, current works do face some cons due to poor fitness in dealing with a large amount of dataset pf high dimensionality. Also, accompanying the US presidential election, Tesla company has always become a hot spot. This paper collects the past 14 years historical data and proposes adoption of appropriate machine learning( Lasso, Random Forest and XgBoost) and deep learning models (RNN and LSTM) in the field of forecasting Tesla stock price and its volatility; adapt the parameters to achieve the best goodness of fit and incorporate the alternative factors, such as political indicators to better capture the complex shocks and jumps in realized volatility; and present how these models outperform traditional mathematical models. The evaluation of the model is done using the root mean squared error (RMSE) , Mean square error (MSE) and R square metrics.
CAPM Insights: Apple's Risk and Expected Returns
Authors: Fu Zhanshuo
Published: January 2025

The correlation between risk and expected returns is increasingly critical for both investors and corporations operating within financial markets. The Capital Asset Pricing Model (CAPM) offers a comprehensive framework for elucidating this connection by quantifying anticipated returns in accordance with systematic risks. However, there is little evidence to prove the practicability of CAPM on a particular company and its real-world meaning to that companys investors and decision makers. For this reason, this essay explores the practical application of CAPM to Apple Inc., a prominent technology company with significant market influence. The study employs CAPM to analyze Apples stock performance, using data including the risk-free rate, Apples investment beta, and market return rates sourced from financial databases and government publications. By constructing and analyzing a CAPM model on Apple Inc., this research aims to offer insights into how well Apples stock compensates for market risk and how CAPM can aid investors in making informed decisions. Furthermore, the results offer crucial insights for Apples internal strategic development by evaluating the potential effects of market volatility on the company's share price.
Probabilistic Statistical Models and Their Applications in Economic Issues
Authors: Dong Bokun
Published: January 2025

With the rapid development of global economies, loans have become one of the key driving forces for economic growth. However, the outbreak of the subprime mortgage crisis served as a wake-up call for governments worldwide. To prevent malignant financial crises triggered by large-scale debt defaults, financial institutions in various countries should strengthen their regulatory mechanisms for financial loans. Based on this premise, this paper employs four probabilistic statistical modelsLogistic Regression, Naive Bayes, Cox Proportional Hazards Model, and Chi-Square Testto analyze the Credit Risk Dataset from the Kaggle platform. The study delves into the impact of various variables on loan defaults, the origins of credit risk, and its potential effects on the financial system. The results indicate that variables such as the loan-to-income ratio and loan interest rates significantly influence the risk of loan defaults. By comparing different models, this paper provides practical and effective evidence for financial risk regulation, enhancing the accuracy and reliability of credit risk assessments. It offers a new perspective for ensuring the long-term stable development of the economy.
A Machine Learning Approach to Cryptocurrency Volatility and Financial Implications
Authors: Zheng Zuhao
Published: January 2025

Cryptocurrency represents a decentralized digital asset built upon blockchain technology and secured through cryptography. Since Bitcoin's inception in 2009, the cryptocurrency has profoundly influenced the financial sector. This study employs Python-based machine learning methodologies to explore the fundamental principles of cryptocurrencies, cryptography, and blockchain technology, with a particular focus on Bitcoin. This essay provides an overview of cryptocurrency principles, especially focusing on Bitcoin, including its volatility and implications for traditional finance and the effect to global economy. The research examines Bitcoin's market volatility and reliability, providing insights into its effects on traditional financial systems and its broader impact on the global economy. By integrating machine learning techniques, this paper aims to offer a detailed analysis of Bitcoin's behavior and its implications for financial stability and economic trends. Key findings highlight Bitcoin's significant volatility and its potential to disrupt conventional financial practices. The study also discusses the broader consequences for economic systems and financial regulations, underscoring the need for adaptive strategies in response to the evolving cryptocurrency landscape.
Eviews and SPSS-based Stock Price Analysis and Forecast of Ningde Times
Authors: Kong Weifan
Published: January 2025

China has emerged as the largest developing country in the world. Many Chinese people use stock speculation to earn income. However, it is widely known that market stock prices fluctuate significantly. If an effective method can be found to forecast stock prices, it will enable investors to reduce unnecessary losses. In this essay, based on Eviews13, a linear regression is conducted using a full year of stock history data of Ningde Times 2022-2023. Its daily opening price, high price, low price, closing price, and total daily after-hours turnover are employed as independent variables, while the stock's closing price on the following day is used as an dependent variable to build a regression model. Subsequently, heteroskedasticity and autocorrelation tests are performed, along with a principal component analysis. The results indicate that historical stock information can be used to predict stock prices in a short period of time in the future.
Strategy and Analysis of Tong Ren Tang's Digital Marketing Transformation
Authors: Zhang Xinyi
Published: January 2025

The rapid advancement of the Internet and the digitalization process has made digital transformation a necessity for traditional enterprises. This paper examines the digital marketing transformation strategies of Tong Ren Tang, one of China's most renowned time-honored brands, and highlights the critical importance of digital transformation for traditional enterprises. Through an analysis of Tong Ren Tang's historical development and its journey towards digitalization, this study identifies key challenges and opportunities associated with digital transformation. Drawing on established theoretical frameworks and the company's case study, the paper explores how Tong Ren Tang integrates digital marketing tools, content marketing strategies, and online-to-offline (O2O) models to maintain its competitive edge in an increasingly digital marketplace. Despite facing obstacles such as maintaining brand authenticity, overcoming internal resistance, and navigating regulatory complexities, Tong Ren Tang leverages innovative technologies such as augmented reality (AR), virtual reality (VR), and AI to enhance consumer engagement and brand loyalty. This study suggests with strategic recommendations for Tong Ren Tang and similar traditional brands, emphasizing the need for cultural adaptation, technological investment, and omnichannel marketing approaches to succeed in the digital age.
A Study on the Correlation Between Athletes' Compensation Levels and Competitive Performance
Authors: Li Munan
Published: January 2025

This paper will mainly focus on studying the correlation between salaries athletes obtain and their on-court performance. It is about the gradual process of finding a rather common result to conclude this correlation, in which the paper hypothesized there being a positive relationship between them. To verify or falsify the hypothesis, this study takes the three most popular league in three different areas as samples, NBA-basketball, most popular in Northern America and China, Premier League-soccer, the most successful professional league in this decade, and NFL-American football, where athletes receive the top salaries in the whole sports area. The study makes three different data analysis within the NBA, and between basketball and soccer. Top salaries in cooperative sports can show something not included in data, which can make this research more objective and receivable. The results are clear and similar that in most cases, salaries do have a positive correlation with athletes performance. Based on the results, the study gives some suggestions on how to build a more competitive league while still being commercial.
The Impact of ESG on the Firm Performance: A Case Study on the Large-Cap Companies
Authors: Zhang Lixin
Published: January 2025

In recent years, the principles of sustainable and green development have gained widespread recognition, driving attention toward the environmental, social, and corporate governance (ESG) performance of enterprises. ESG factors have become a critical aspect for evaluating the sustainability and long-term success of companies across various industries. Notably, the new energy vehicle, aerospace, and AI technology sectors are at the forefront of this scrutiny due to their significant impact on both environmental outcomes and business practices. This report focuses on three prominent companiesTesla, Boeing, and Nvidiarepresenting these key industries. It examines how ESG factors influence their operations, profitability, and investor perceptions. By analyzing each company's strategies and challenges in managing environmental impacts, social responsibilities, and governance standards, this report provides a comprehensive view of the growing importance of ESG in shaping business outcomes. The findings emphasize the need for companies to integrate sustainable practices into their core operations to maintain competitiveness, attract investment, and contribute positively to society and the environment.
A Financial Analysis and Risk Assessment of Airbus
Authors: Meng Zhanyu
Published: January 2025

This article qualitatively scrutinizes the financial performance of the leading European aviation designer and manufacturer, Airbus, using data from financial reports, market performance, and recent events. Distinguishing different pieces of empirical evidence and analyzing recent events, it is found that Airbus is performing relatively in a recovering manner. The post-pandemic global market for the aviation industry sees an increase in demand and supply. Airbus might use its mature technologies to compete for a higher market share. The notable increase in order intakes in 2023 relative to 2022 also supports this opportunity. Meanwhile, the changing perception of economic sectors prompted by the limitations in the pandemic and the adaptation of green technologies to reduce carbon emissions pose challenges to Airbus and the aviation industry. The progress in developing hydrogen-powered aircraft and sustainable aviation fuels might help the company offset future regulatory risks and take the lead in the industry. Also, by examining the financial data, the analysis highlights the complex relationship between sales growth and profitability, emphasizing the importance of understanding the underlying factors driving these dynamics.
Study of the Factors Influencing House Prices in California, USA
Authors: Zeng Shanchuan
Published: January 2025

The world's population is growing at a rapid pace, which has raised concerns about the real estate market. This essay seeks to identify the factors that influence the cost of homes in California, USA. The findings can help individuals have a better grasp of home pricing and the variables that greatly affect a home's final cost. This article uses eight independent factors that have a significant impact on housing prices. The dataset is analyzed using the linear regression model. The location of the home, the number of bedrooms, and the median income are among the independent variables that were employed in this study and are critical to the model's outcomes. It is also explained how to make the model more multi-linear. The paper includes a correlation analysis that is utilized to enhance the prior model. The purpose of the comparison of the two models is to ascertain the benefits and drawbacks of each. The outcome suggests that the key elements pertaining to the median house value can be explained by four fundamental variables.
Analysis of Federal Reserve Policy and Its Impact During the Onset of the COVID-19 Outbreak
Authors: Sun Yinuo
Published: January 2025

The situation caused by COVID-19 is a typical case where a major health event has a profound impact on the economy. Additionally, this is also the period with the most significant economic fluctuations since the economic crisis of 2008. This paper researches the impact of the COVID-19 on the United States of America economic conditions and evaluates the effectiveness of the Federal Reserve's monetary policies during the early outbreak. By selecting key timeframes, the paper analyzes fluctuations in treasury yields, stock markets, inflation, exchange rates, and unemployment obtained from Federal Reserve Economic Data. This study also assesses the Federal Reserve System's performance by examining the characteristics of policies themselves and economic response. Using the Taylor Rule, this research further explores the limitations of traditional monetary tools during unprecedented economic disruptions. The findings suggest that while the Fed's actions provided some stabilization, their overall effectiveness in reversing the economic downturn was limited, particularly in mitigating unemployment and wealth inequality.
Transformasi Digital dalam Meningkatkan Keunggulan Kompetitif: Studi pada UKM di Bandar Lampung
Authors: Arifa Kurniawan  , Andika Saputra
Published: January 2025

Digital transformation has become a crucial factor in improving the competitiveness of small and medium-sized enterprises (SMEs) in the modern era. By utilizing digital technology, SMEs can accelerate operations, expand market reach, and build closer customer relationships. This research aims to explore how digital transformation contributes to the competitive advantage of SMEs in Bandar Lampung, while identifying the challenges faced in its implementation. The research used a descriptive qualitative approach, with data collected through in-depth interviews, observation, and document analysis of 10 SMEs that have adopted digital technology. The results show that digital transformation improves operational efficiency through process automation and better data management. In addition, digital technology expands market access through e-commerce platforms and social media, allowing SMEs to reach customers beyond the local area. Customer relationships are also becoming stronger through responsive communication and technology-driven interactions. However, the study found that the main challenges faced are limited digital literacy among SMEs and the high cost of technology implementation. Thus, support from the government and relevant institutions is needed to facilitate the adoption of digital transformation, particularly through training and technology subsidies.
Pengaruh Direct Marketing dan Personal Selling PT. Malindo Feedmill Makassar terhadap Kepuasan Pelanggan
Authors: Ardiantho Halili  , Andi Vita Sukmarini  , Fitriana Fitriana
Published: January 2025

This study aims to determine the influence of direct marketing and personal selling by PT Malindo Feedmill Makassar on customer satisfaction, and to analyze which variable has a more dominant significant effect on customer satisfaction at PT Malindo Feedmill Makassar. The research was conducted in Pinrang Regency, Sidrap Regency, and Soppeng Regency with a sample size of 50 layer farmers using feed from PT Malindo Feedmill. The data analysis was descriptive to explain the research data. For analyzing quantitative data, multiple linear regression analysis was used with SPSS version 29. The results show that the direct marketing and personal selling variables simultaneously affect customer satisfaction at PT Malindo Feedmill Makassar, with the coefficient of determination (adjusted R square) indicating that the independent variables in this study explain 32% of the variance, while the remaining 68% is influenced by variables outside the scope of this study. Partially, both direct marketing and personal selling variables have a significant and positive impact on customer satisfaction at PT Malindo Feedmill Makassar.
Pencatatan Laporan Keuangan Sederhana pada UMKM Hans Snack & Cake Desa Citeko Kabupaten Bogor
Authors: Gita Atiatul Uzma E  , Nispi Yani Sya’banniyah  , Erni Yuningsih  , Rachmat Gunawan  , Irham Maolana
Published: January 2025

Hans Snack and Cake is an MSME that produces various kinds of snacks consisting of tart cakes, pastries and bread. The potential of MSMEs is in demand by many consumers so they have high sales, but there is still a low understanding of financial management which causes MSMEs not to know their financial position. This service provides training on the importance of financial recording with the aim of enabling MSMEs to see financial performance and be able to divide budgets effectively so that they are more structured and mature. Training provided regarding Cost of Goods Production Reports (HPP) and Profit and Loss Reports. The methods used were interviews, observation and training programs. The success of this service provides benefits for students, MSMEs and is able to encourage MSMEs to improve financial management. Community involvement in this service is the key to the success of this program.
Profil Keluarga dan Angka Kejadian Stunting di Desa Tamedan Kota Tual Tahun 2023
Authors: Wa Rina  , Agnes Batmomolin  , Notesya A. Amanupunnyo  , Maritje F. Papilaya
Published: January 2025

Stunting is a child who experiences impaired growth and development caused by prolonged malnutrition and recurrent disease, thus affecting the child's height and length (BPS, 2021). Data from SSGI in 2022 showed that the number of stunted children in Tual City was 24.9 percent. The results of our initial survey in Tamedan Village showed that there were 28 stunted toddlers, 4 LBW babies, 30 malnourished toddlers, 83 babies and toddlers who routinely conducted monthly growth and development checks, 3 mothers who gave birth too close together, and 1 unplanned or unwanted pregnancy. The implementation of this PkM activity was carried out in Tamedan Village, Tual City, the implementation time was in August 2023. The participants who participated in this activity were all mothers who had children under five years old, totaling 28 people. The methods we used in this community service activity included counseling and demonstrations on how to process nutritious food. PkM results: stunting can be prevented and overcome by the way mothers during pregnancy must consume or eat nutritious foods and mothers must remain healthy or in good condition. Parenting such as providing nutritious food that suits the needs of children can prevent stunting. Processing food in the right way can maintain food nutrition. Mothers in Tamedan Village gain additional knowledge about how to prevent stunting, know the right parenting patterns and how to process food properly.
Penyuluhan Pengolahan Sampah Rumah Tangga Menjadi Stool untuk Ibu-Ibu PKK di Kalurahan Srimulyo
Authors: Wahyu Eka Priana Sukmawaty  , Ilya Khoerus Sholihah
Published: January 2025

Household waste processing is still a challenge. Various ways have been done so that household waste has more value and is more useful. One way is done through counseling. This counselling aims to improve the knowledge, understanding, and skills of PKK mothers in household waste management. Thus, it is expected to be able to change the pattern of behaviour and household habits towards more sustainable and environmentally friendly practices. Counselling was carried out to PKK mothers in Kalurahan Srimulyo Piyungan Bantul. The counselling activity will be held on December 22, 2023, in the multipurpose room/hall of Kalurahan Srimulyo Piyungan Bantul. The extension activities carried out include the presentation of material related to waste processing in general starting from recycling, the waste hierarchy process (consisting of reduce, reuse, and recycling along with examples of activities), and then material related to stools/chairs from RT waste in the form of used plastic bottles and used clothes. This waste processing extension activity is the beginning of activities before entering the practical stage for the process of making stools from used plastic bottles and used clothes.
Pembaharuan Isu Perpajakan pada Mahasiswa Universitas Widya Dharma Pontianak
Authors: Lauw Sun Hiong  , Hengky Leon  , Dedi Haryadi  , Ricky Ricky
Published: January 2025

Maintain economic stability and meet the needs of the community, tax revenue is one of the vital sources of revenue for the government. However, major challenges often arise in ensuring that all taxpayers meet their tax obligations correctly. Tax is a compulsory contribution to the state that must be paid by an individual or entity, which is coercive in accordance with the provisions of the law, without getting direct compensation, used in order to meet the needs of the state in order to achieve maximum welfare of the people. Payment of taxes to the state is mandatory for taxpayers, both individuals and entities. Tax payment is a form of community cooperation in national financing and development, which aims primarily to improve the welfare and prosperity of the entire community. The target of this community service activity is Widya Dharma University Pontianak students who have registered. This activity is held based on needs and increases students' knowledge and abilities by providing socialization. After the socialization was delivered, students understood and realized the importance of accurate and responsible reporting as taxpayers. Follow-up efforts include re-examination of annual tax returns, awareness raising, conducting further consultation processes, participation in voluntary disclosures and reminders and further counseling.
Pelatihan Pembuatan Karikatur 3D Melalui Pemanfaatan Artificial Intelligence (AI) Bagi Guru KB Belia Puraya
Authors: Irsal Fauzi  , Dewi Ariani  , Abdul Aziz  , Novita Herawati  , Ulfamiyati Ulfamiyati
Published: January 2025

The development of Artificial Intelligence (AI) tools in early childhood learning has been a topic of interest in recent years. AI in early childhood education can be used to provide interactive, personalised and adaptive learning experiences. The use of AI tools in early childhood learning has great potential to improve the effectiveness and efficiency of learning. However, it is important to remember that the interaction and support of teachers and parents remains crucial in children's development, and AI should not replace the role of humans in the education process. Artificial intelligence (AI) tools, have been increasingly used in the field of early childhood education (ECE) to enhance learning and development among young children. Previous proof-of-concept studies have shown that AI can effectively improve learning and development in ECD; however, there is a dearth of knowledge on how these studies were conducted and how AI was used throughout these studies. The main problem faced by the partners is the lack of competence of these human resources in managing and applying AI tools in learning, especially in creating 3D caricatures that are useful to attract the attention of students, as well as to promote the school.