bluuebunny/crossref_metadata_2025 huggingface dataset:
Challenges and Adaptations of EFL Teaching Amidst Global Crises
Authors: Li Chunduan
Published: December 2024

Global crises such as the public health crisis and political polarization have greatly affected the mode of teaching English as a Foreign Language (EFL). However, such shifts have also created many challenges for teachers, such as becoming proficient in the use of online teaching tools and redesigning lessons to maintain student engagement. In addition, negative changes in global immigration policies in the context of growing anti-globalization sentiments have further exacerbated uncertainty in the career development of non-native English-speaking (NES) teachers, making it more difficult for them to obtain teaching qualifications and gain teaching experience. Through a literature review, this paper summarizes the main challenges for EFL teachers in terms of technology adaptation, pedagogy adaptation and public policy. The findings show that although teachers demonstrate a high level of adaptability, they still need ongoing support to cope with the complexities associated with technological change and policy change. This study argues that future pedagogical and policy reforms are essential to ensure the long-term professional development of EFL teachers.
The Limitation of Freedom of Contract by the Right to Equality: A Case Study Approach
Authors: Xue Borui
Published: December 2024

In an era of increasing social awareness and digital connectivity, businesses face growing scrutiny over their contractual decisions, particularly when refusing service based on individuals' public statements or political affiliations. Through analysis of recent high-profile cases, this article investigates the legal and ethical implications of such refusals. Then this paper examines the tension sometimes exists between freedom of contract and the right to equality, exploring how the latter limits the former in modern legal and business contexts. This paper aims to contribute to the ongoing debate on balancing contractual freedom with anti-discrimination principles, providing insights for future legislation and business practices. This paper finds that while freedom of contract remains a fundamental principle, it is increasingly constrained by equality considerations, reflecting broader societal shifts towards inclusivity. The paper concludes that a more nuanced, context-sensitive approach to balancing these competing rights is necessary, suggesting potential directions for legal and business practice evolution.
The Power of Loss Aversion: Enhancing Customer Engagement and Retention in Business
Authors: Zheng Luojie
Published: December 2024

In the field of behavioral economics, loss aversion stands as a pivotal concept that significantly influences customers behavior and decision-making. This study aims to explore the applications of loss aversion in business, finding how loss aversion is used to attract and retain customers in advertisements and business strategies. Through a synthesis of experimental data and theoretical insights, the paper elucidates how businessmen can strategically utilize this bias to enhance customers engagement and retention, and uses a series of applications in business to show the power of loss aversion. This study's exploration of loss aversion within the business sphere underscores its profound impact on consumer psychology and decision-making processes. By dissecting the mechanisms through which loss aversion operates, we unlock opportunities for businesses to refine their strategies, enhancing customer engagement and loyalty. The strategic application of loss aversion principles not only promises to boost immediate sales but also to cultivate enduring consumer relationshipsa critical asset in the dynamic business landscape.
Hedging Efficiency and Influencing Factors in Diversified Financial Markets An Empirical Analysis Based on Futures of CSI 300 Index and Nikkei 225 Index
Authors: Liu Yingtong
Published: December 2024

Under the background of the global financial market, with the close connection and mutual influence between the financial markets of various countries, risk management has become the focus of attention of investors and financial institutions. Especially in the face of complex and changeable market environment, how to effectively manage risks and ensure asset safety has become an urgent problem to be solved. As an important risk management tool, index futures play an irreplaceable role in the global financial market.This study focuses on China's CSI 300 index and Japan's Nikkei 225 index futures, and aims to provide scientific decision-making basis and risk management strategies for investors by comparing and analyzing their hedging efficiency and influencing factors under different financial environments. This study examines the hedging efficiency and its influencing factors in different financial environments. Using OLS, ECM, VaR models, the data from 1 January 2023 year to 11 July 2024 were analysed with the aim of accurately measuring hedging ratios and optimising cross-market asset allocation.It is found that the CSI 300 is significantly more efficient than the Nikkei 225 in hedging and the ECM model outperforms OLS in hedging performance.Both index futures are effective in reducing tail risk, but the tail risk is slightly higher for the Nikkei 225. Differences in market structure and investor behaviour are the key factors contributing to the different hedging efficiencies.
Research on the Future of Cross-border E-commerce from the Perspective of Sustainable Development
Authors: He Yuezhen
Published: December 2024

With the popularization of the Internet and the rapid development of mobile technology, e-commerce has not only changed people's consumption habits, but also profoundly affected the business model and industrial structure. However, due to the involvement of laws, regulations, and policy environments from different countries and regions, cross-border e-commerce still presents numerous uncertainties and risks. In the future, it is necessary to strengthen the research on cross-border e-commerce laws and policies to provide guidance for the standardized development of cross-border e-commerce. This article aims to examine the enhancement of cross-border e-commerce-related policies and the achievement of sustainable development through PEST analysis and other methods. With the continuous improvement of globalization, it is imperative to strengthen trade cooperation between countries. The trend of economic globalization is irreversible. The Chinese government must formulate policies in line with the development trend of the times, constantly improve the level of opening up to the outside world, absorb foreign investment funds, learn advanced science and technology from other countries, and promote the optimization and upgrading of industrial structure and the improvement of production efficiency. Therefore, the Chinese government has accelerated the establishment of a new pattern of opening up to the outside world in accordance with the requirements of the times, and gradually formed a new development pattern with the domestic cycle as the main body and the mutual promotion of the domestic and international double cycle to achieve more efficient, higher quality, fairer, safer and more sustainable development in order to promote global economic prosperity.
Analysis of the Key Factors for the Success or Failure of Enterprise Mergers and Acquisitions
Authors: Han Mengyao
Published: December 2024

Mergers and acquisitions (M&A), as a means of optimizing resource allocation, have a history of over 100 years in the West and have sparked five major waves of M&A activity with global impact. Since China's reform and opening-up, there have been over 20 years of M&A practices in the country, resulting in a substantial body of research. However, there remains a lack of systematic studies summarizing the factors influencing the success or failure of M&As. Additionally, there is relatively limited research on how to achieve the intended strategic goals of M&A through effective post-merger integration strategies and how to avoid failure. Further in-depth research is needed to address these gaps. This paper aims to analyze the core factors influencing the success or failure of M&A by drawing upon relevant literature. It identifies that M&A outcomes are affected by a range of factors, including post-merger integration measures, organizational and personnel issues, information asymmetry, business philosophies, management systems, organizational culture, government and corporate behaviors, financing conditions, and regulatory policies. The study also finds that both subjective and objective factorssuch as strategic planning, cultural integration, organizational restructuring, human resource management, market conditions, and legal risksplay a role in determining the success of M&As.
Analysis of the Impact of Artificial Intelligence on Financial Management from a Game Theory Perspective
Authors: Liu Tianruo
Published: December 2024

With the rapid progress of science and technology and the booming economy, artificial intelligence technology has been widely used in all walks of life, and its application in the field of enterprise financial management has also become increasingly widespread, greatly changing the way of financial work. However, many enterprises still have a series of problems in the process of promoting the construction of information technology. This paper takes artificial intelligence as the background, firstly, analyzes the various preconditions for its application in financial management, such as the need for enterprises to have a perfect data system, sufficient technical basis and relevant talents, etc., secondly, explores the impact mechanism of artificial intelligence on the financial management of the enterprise, and carries out research in the three aspects of improving the quality of information, enhancing the efficiency of management and assisting in decision-making, and finally, from the perspective of the game theory, analyzes the internal top management team, business department and IT department of the enterprise. Finally, from the perspective of game theory, This study analyses the relationships between AI and humans, identify the risks that may be brought about by AI's participation in financial management, and finally explore how human beings can collaborate and cooperate with AI to form a stronger intelligent assisted decision-making.
Investigating the Effectiveness of Beta on Return on Equity
Authors: Ni Siyu
Published: December 2024

Although the pandemic's impact gradually faded after 2020, McDonald's has experienced a falling return on equity, along with a rising beta. The purpose of this paper is to take McDonald's as an example, investigate the relationship between return on equity and beta, and investigate how beta is affecting the return on equity. This paper has discovered a negative correlation between the two variables and has assigned three possible reasons for this relationship. The first is that, under the situation of a negative return on equity and high beta, companies may seek more risky strategies, which may reduce the return on equity and increase beta if the strategies eventually fall. Using more conservative tactics can be an effective suggestion. Secondly, the use of diversified strategies may also contribute to this negative relationship, as firms may choose to concentrate their operations in areas where they have the greatest competitive advantage rather than spreading their influence across multiple areas. A third possible reason could be investors' reluctance to further invest in a company experiencing rising beta, a sign of high associated risks. This reluctance could lead to an increase in the company's cost of capital, thereby reducing the return on equity, unless accompanied by a significant increase in profit. To mitigate the severity of this issue, it is recommended that firms lower their level of sentiment, thereby reducing the level of panic among investors.
Navigating Economic Uncertainty: Strategic Corporate Investment in Green Technologies A Case Study of Tesla
Authors: Lin Zehao
Published: December 2024

By conducting a detailed case study of Tesla, a leader in the electric vehicle industry, this paper delves into how companies can strategically align their investments with government environmental goals amid economic uncertainty. Specifically, the analysis explores how Tesla has navigated challenges such as geopolitical tensions and supply chain disruptions while continuing to invest in technological innovation and research and development. The study underscores how Tesla has effectively utilized government incentives to cushion the impact of economic volatility. Through this in-depth examination of Tesla's investment decisions in uncertain economic environment, the paper concludes that companies can achieve both short-term profitability and long-term sustainability by adopting flexible investment strategies. Tesla's success not only underscores the importance of such strategies, but also solidifies its leadership position in the global transition to sustainable energy. Based on Tesla's approach, this research recommends that other firms could adopt similar flexible investment strategies to enhance their resilience and maintain a competitive edge in the global transition to sustainable energy.
Impact of Net Earnings per Share and Leverage on Stock Prices
Authors: Song Ruiying , Xing Sheng , Yang Yuheng
Published: December 2024

In an era of rapid technological advancement and market volatility, understanding the financial determinants of stock performance is crucial for investors and stakeholders. We explore the influence of Net Earnings per Share (EPS) and financial leverage, as measured by the Debt-to-Equity (D/E) ratio, on the stock prices of NVIDIA and AMD, leading companies in the GPU market. Utilizing data spanning 2020 to 2024, EGARCH models are employed to examine stock price volatility and the effects of financial leverage. Multiple regression analysis is also conducted to establish quantitative links between stock prices, EPS, and D/E ratios. The predictive model, basing on the fitted data, is compared against actual stock prices, validating its accuracy. The findings reveal a robust positive association between EPS and stock prices, while the impact of the D/E ratio is more nuanced, pointing to divergent risk management approaches between NVIDIA and AMD. This research enhances the understanding of how financial indicators can shape stock performance, particularly within the technology sector. The results indicate that NVIDIA's stock price is more sensitive to EPS fluctuations, whereas AMD's stock performance is influenced by both EPS and moderate levels of financial leverage. These insights provide valuable guidance for investors seeking to optimize their portfolios in the tech industry.
Federal Reserve Policies in the Context of the Global Financial Crisis
Authors: Peng Ruilin
Published: December 2024

One of the most powerful central banks in the world, the U.S. Federal Reserve System (Fed), has been instrumental in handling international economic issues since the end of the 20th century. As is evident, the global financial crisis that broke out in 2007 and 2008 highlighted even more how important the Fed is to preserve economic stability and encourage the sound operation of the financial system. Using theoretical analysis, literature review, and macroeconomic principles, this paper aims to provide a thorough elaboration and analysis of the policies and tools that the Federal Reserve, the primary subject of study, adopted during the global financial crisis, as well as the roles and effects of these measures in coping with the crisis. According to the study, it can be found that a series of traditional and non-traditional policies adopted by the Federal Reserve effectively stabilized the financial market in the short term and promoted economic recovery; however, in the long term, there are certain negative impacts and potential risks. The research in this paper provides an important reference for the management of future financial crises and the formulation of macroeconomic policies and emphasizes the importance of strengthening macroeconomic management, combining different instruments, and addressing future risks.
Analyzing the Causes of China's Slow Economic Growth Based on AD and AS Models
Authors: Wang Feifan
Published: December 2024

This paper tries to find out the reason for the slowing down of the Chinese economy based on both Aggregate Demand and Aggregate Supply models. It was triggered by the recent drop in China's economic growth rate, a phenomenon which has attracted many eyes. This paper identifies how such factors determine economic growth using the aggregate demand (AD) and aggregate supply (AS) models with respect to the macro-economy of China. This analysis identifies four key elements: consumption, investment, government expenditure, and net exports; it analyzes their different impacts on economic growth from demand and supply perspectives. Empirically, the results point to the continued growth in consumption and investment as core factors underlying China's slowdown. Besides the weak demand, deep-seated structural problems on the supply side -such as a drop in the growth of the labor force and low-capacity utilization in selected industries -further dragged down the economic growth. The findings from the study can, therefore, be used to inform policymakers that in the short term, there is a need to stimulate consumption and investment to spur demand. In the long run, however, reforms on the supply side of the economy are necessary for attaining sustainable economic growth.
The Impact of Mobile Payments in the Post-epidemic Era in China: Consumption, Tourism, and User Perception
Authors: Wang Yong
Published: December 2024

The global COVID-19 outbreak, which began in late 2019 and concluded in early 2023, significantly impacted the world economy. However, China's economy, bolstered by the influence of mobile payments, has shown remarkable resilience. This study examines the impact of the post-epidemic mobile payment era in China, including consumption, Tourism, and user perceptions sectors. This is based on the data analysis of the payment system reports from the People's Bank of China, Alipays and WeChats payment system reports, Chinese Demographics, the study of User perceptions of Chinese Mobile payment, Mobile payments Online Consumption Share, Chinese Household Consumption via mobile payments. The results are that the users number and the total transaction number of mobile payments increased significantly compared with pre-epidemic; mobile payments transformed offline needs into online consumption and helped rural areas and older people eliminate liquidity restrictions; travel expenses paid through mobile payment platforms doubled growth compared with the same period in 2019; the epidemic has necessitated people to use mobile payments. This study concludes that mobile payment stimulated and increased the Chinese Household Consumption Level, and it can enhance users' satisfaction and happiness; mobile payment is a crucial factor in improving tourism recovery and development. The research summarized the effects of mobile payment on Consumption, Tourism and Chinese User Perceptions in the post-epidemic era. Mobile payment will still play a positive driving role in the Chinese economy's growth. The research also provides suggestions and estimates for the future of the Chinese mobile payment market.
Economic Response to the Epidemic: An Analysis of Macroeconomic Policy in China and the US
Authors: Wang Shangke
Published: December 2024

The global outbreak of COVID-19 epidemic has instigated turmoil in international financial markets and a severe economic recession. China and the United States have adopted context-specific strategies in response to the pandemic. This research diligently gathers and compares the interventions implemented by each country, with the objective of elucidating the similarities and differences in their methodologies, along with the economic implications of these measures. As the United States is highly market-oriented, the Federal Reserve implements direct monetary policies, along with other fiscal tools by the government. From a formal perspective, the novel monetary policy instruments deployed in both China and the United States operate through the establishment of specialized purpose vehicles. However, the two are still fundamentally different. In policy terms, the Federal Reserves tool is quantitative easing, while China's tool is the traditional category of credit. It can be anticipated that the paths of economic recovery of the two countries will demonstrate a more pronounced divergence trend.
Study on Chinas Economic Slowdown in the Context of Ageing Group and Economic Active Population
Authors: Mao Yueheng
Published: December 2024

Recently, there has been a significant fall in the Chinese economy, which could cause by many reasons, but this paper will mainly discuss this problem in the context of the ageing group and the economic active population. This paper mainly used research methods by viewing what the previous people have done, concluding their points and pointing out what they have done wrong or can be done better, also includes the investigators personal view of the ageing crises of China. Based on the study so far, it can be concluded that China has reached its inflection of population and further development, where China now has caught into a dilemma where if developing the capital sides the labor will go worsen whereas if China starts to realize the problem of labor and starts to cure it, then the capital will be left behind. In the future, Chinas population will be decreasing as has been predicted by various resources, but what investigator thinks that China might need to slow down the steps of catching up, take a certain period to find out the equilibrium point of China and then decide the future development. For the low fertility rate, the best thing is to raise the social benefits to encourage childbearing.
A Comparative Analysis of Machine Learning Models for Credit Card Fraud Detection
Authors: Zou Wanru
Published: December 2024

The rapid growth of online transactions has greatly increased the autonomy of credit cards, creating serious challenges for financial institutions and consumers.Credit card fraud detection involves identifying unauthorized transactions conducted using stolen or fake credit card information. This study aims to explore the most influential features contributing to credit card fraud and evaluate the effectiveness of various machine learning models in predicting fraudulent transactions. Utilizing the "creditcard.csv" dataset, which contains real-world credit card transactions, we conducted feature selection and model comparison to enhance detection accuracy. The results demonstrate that Neural Networks and Support Vector Machines (SVM) are the most effective models, achieving high Matthews Correlation Coefficient (MCC) scores due to their ability to handle high-dimensional data and complex nonlinear relationships. In contrast, simpler models like Naive Bayes and Random Tree exhibited lower performance but can be improved through advanced techniques such as feature selection and data balancing. These findings highlight the importance of robust feature engineering and careful model selection in developing accurate and reliable fraud detection systems. Financial institutions can drastically improve their fraud detection capabilities by putting these innovative approaches into practice.
Research and Practice of Agile Software Development Methods
Authors: Zhen Zhaoda
Published: December 2024

In the rapidly changing software development environment, agile methods have gradually become the key to improving project efficiency and quality. This study arises from the challenge posed by traditional development models, which struggle to adapt to swiftly changing market demands. It focuses on the theme of agile software development and aims to explore its application advantages in practical projects. Through literature review and comparative analysis, this research delves into the core principles and practical applications of agile methods. The research results show that agile methods can significantly improve the response speed and delivery quality of development teams, verifying their importance in the context of the new era. In short, agile development is the preferred strategy for addressing complex and ever-changing requirements, and its flexibility and efficiency have brought revolutionary changes to the software development industry.
Transformer-based Note level Automatic Drum-Set Transcription
Authors: Hao Shijie
Published: December 2024

Automatic Drum-set Transcription (ADT) aims to convert drum performance audio into corresponding musical notes. Unlike ordinary instruments, drum performances are characterized by higher discreteness, faster tempos, and shorter note durations. To address these challenges, we propose a novel method for achieving precise drum-set music transcription. Our approach employs a Transformer model as the feature extractor and applies the SemiCRF loss function to guide the prediction probabilities of all potential notes. Given the scarcity of drum-set transcription datasets within the community, we have collected and curated a high-quality, detailed-labeled dataset of drum performances spanning various styles and rhythms, totaling over 1000 minutes. Comparative experimental results demonstrate the efficacy of our proposed method.
The Review of AI Efficiency in Autonomous Driving
Authors: Wang Yue
Published: December 2024

This paper explores the impact of Artificial Intelligence (AI) on the development of autonomous driving, highlighting advancements, challenges, and future directions. The roles of adaptive learning, sensor fusion, and energy efficiency in improving vehicle autonomy are analyzed, drawing on case studies from Tesla and Waymo to illustrate real-world applications. Despite progress, issues such as data management and system integration persist. The study anticipates benefits such as enhanced safety and traffic efficiency, alongside increased adoption of autonomous vehicles. Emphasis is placed on the need for innovation, collaboration, and standardization in overcoming these challenges.
Applications of Deep Learning in Medicine
Authors: Zhong Mingrui
Published: December 2024

In the current era, with the development of artificial intelligence, deep learning is an essential branch of it. This paper aims to discuss the development history, application status and development prospect of DL model based on deep learning in medical field. Firstly, the advantages of deep learning are powerful data processing capabilities, improved disease prediction accuracy, and the ability to predict disease risk, which contribute to the development of personalized medicine. Deep learning is an attempt to simulate the working principle of the human brain. By training a large amount of data, it automatically learns the complex patterns and structures in the data, and finally realizes the task. By analyzing the examples of deep learning in clinical medicine and its application in medicine. This paper proposes that AI and DL models can help improve the quality of medical services. This paper also suggests that in the future, the unique automation and efficient data processing of deep learning algorithms can be used to improve diagnostic accuracy and speed, and promote the development of precision medicine.
An Analysis of Multimodal Approaches for Fake News Detection
Authors: Zhang Xinhai
Published: December 2024

Fake news refers to factually incorrect reports that are spreading at an increasing rate, negatively affecting public opinion, media credibility, and social stability. If not screened and prevented promptly, fake news can influence the publics judgment of the facts. More seriously, it may affect the direction of international public opinion and the credibility of the national media. Thus, detecting and managing fake news is the focus of public opinion issues. To solve the problem, the multimodal fake news detection method came into being, which is a detection method that extracts and fuses features from multiple modalities of news (such as text, pictures, and audio), and then evaluates the results. This paper provides an overview of current relevant news detection techniques and analyzes the advantages of multimodal approaches in the current field of fake news detection, as well as the problems that may be encountered. The results indicate that multimodal fake news detection can improve detection accuracy by fusing multiple data modalities, but still faces a series of challenges such as dataset diversity and model interpretability, with great potential for future development.
Relationship of Amphetamines in Reducing Substance Abuse Risks Among ADHD Patients
Authors: Deng Ashley , Espiridion Eduardo
Published: December 2024

Introduction: Attention-deficit-hyperactivity disorder (ADHD) affects a substantial portion of the global population, influencing cognitive and behavioral function. Current treatments often involve stimulant medications like amphetamines, which are controlled substances due to their addiction potential. Non-stimulant options, such as atomoxetine, are typically considered secondary therapies. This study examines the relationship between ADHD medication use and the subsequent development of psychoactive, stimulant, and cocaine-related substance use disorders. Methods: Using the TriNetX database, we conducted a retrospective cohort study to compare ADHD patients prescribed amphetamines to those receiving atomoxetine or no medication. Propensity score matching was employed to control for confounding variables, followed by risk analysis to evaluate odds ratios (ORs) and hazard ratios (HRs) for developing substance-related disorders across the groups. Results: ADHD patients treated with amphetamines demonstrated significantly reduced risks of developing psychoactive, stimulant, and cocaine-related substance use disorders compared to unmedicated patients and those prescribed atomoxetine. Unmedicated patients exhibited increased risks compared to amphetamine-treated patients (OR = 1.539, 1.769, 2.210; HR = 1.842, 2.118, 2.643, respectively). Similarly, the atomoxetine group showed higher risks relative to the amphetamine group (OR = 0.635, 0.523, 0.502; HR = 0.595, 0.490, 0.469, respectively). Discussion: Although stimulant misuse concerns persist, our findings suggest that amphetamines, when used under medical supervision, may mitigate the risk of developing psychoactive and substance use disorders in ADHD populations. This highlights the potential protective effect of amphetamine treatment and underscores the importance of appropriate clinical oversight in managing ADHD.
The Intelligence-Espionage And Political-Diplomatic Activities Of The Representation Of Kemalist Turkey In The Republic Of Armenia In 1920-1922
Authors: Virabyan Vanik , Virabyan Hrant
Published: December 2024

Armenia has always been in the domain of the geopolitical interests of Turkey and Russia (Tsarist and Bolshevik). Both tried to make an influence on the geopolitical situation in the Republic of Armenia, being constantly informed about the ongoing processes through their secret services. The destructive espionage-conspiratorial activities of Turkish-Muslim spies, in general, Turkey, in the Republic of Armenia, mainly refer to the period between 1914 and 1920. A small part of far-sighted and moderate Bolsheviks soon realized that Turkey has not changed and there is nothing Bolshevikrevolutionary about them, that Kemalist Turkey is just the worthy heir of the Young Turks, which is engaged in the continuation of pan-Turkic plans. One of the best examples of this is the espionage activities carried out by Turkey in 1918-1920. And this time their goal was to destroy Soviet Armenia, continuing the destructive actions undertaken since the declaration of the First Republic, involving Azerbaijani spies as well. Most of the Armenian Bolsheviks did not understand this and believed that Kemalist Turkey was an ally of Soviet Russia and a stronghold for the spread of communism in the countries of the East, which had allegedly declared war on international imperialism, which had wrapped the Treaty of Sèvres around Turkey’s neck, against which allegedly “the Turkish worker had rebelled.” It was, of course, the greatest fraud and deception, which in practice benefited both Kemalist Turkey and Bolshevik Russia.
Digitalization Against Monopolization: Polyphony in Turkish News Media
Authors: Çağlar İsmail
Published: December 2024

Discussions on monopolization and oligopolization in Turkish media have largely centred around the claim that media plurality has significantly diminished, particularly since 2002. However, the rapid pace of digitalization and the growth of online journalism have reignited these debates. This study explores the impact of digitalization on media plurality. Until the 1980s, Turkish media exhibited diverse ownership patterns, though most outlets adhered to the official state ideology. Despite being owned by different entities, a state-controlled homogeneity prevailed. In the late 1980s, as large conglomerates entered the media sector, a process of monopolization and oligopolization ensued, concentrating media ownership in the hands of powerful capital groups. This led to increasing economic pressure on the media, and by 2002, criticisms of diminished plurality continued to grow as monopolistic and oligopolistic tendencies intensified. Although ownership patterns have shifted over time, economic oligopolization persists. Nevertheless, the digitalization process has introduced new players, fostering a more democratic and pluralistic media environment. The rise of digital platforms has created opportunities for alternative media outlets and independent journalists, allowing new voices to emerge. Consequently, while monopolistic trends remain dominant in the traditional media landscape, digitalization has facilitated greater media plurality, partially alleviating the pressures of monopolization on traditional media outlets.
Yeni Medya ve Şiddet Odaklı Eylemler: Incel Hareketi ve Çevrim İçi Denetim Stratejileri
Authors: İyigüngör Tuğçe
Published: December 2024

Bilgi ve iletişim teknolojilerinin toplumsal yaşamın bir parçası hâline geldiği günümüz dünyasında kitle iletişim araçları, demokratik tartışmaların gelişmesine yönelik sahalar açmış; bireylerin, ulusal sınırları aşarak belirli düşünce kalıpları içinde birleşen uluslararası topluluklar oluşturmalarına olanak sağlamıştır. Ancak bununla birlikte ayrımcı uygulamalara da ortam hazırlamıştır. Etkileşimli kamusal alanlar, nefret söylemlerinin ve dijital şiddet pratiklerinin sıradanlaşmasına ve yeniden üretilmesine yol açmıştır. Bu kapsamda çalışma, ‘çevrim içi nefret söylemi ve dijital şiddet’ olgusunu ele almıştır. Yeni iletişim ortam ve araçlarının şekillendirdiği şiddet yanlısı bir aşırıcı grup örneği olarak ‘Incel’ (involuntary celibate) hareketinin etkisi incelenmiştir. Bu etkilerin fiziksel şiddete dönüşüm süreci analiz edilmiştir. Dijital şiddete karşı farklı ülkelerin çevrim içi denetim stratejileri, mevzuatları ve düzenleyici çerçeveleri araştırılmıştır. Çalışma, hükûmetler tarafından alınması gereken önlemleri, yeni iletişim ortamlarının fiziki eylemler ile iç içeliği bağlamında değerlendirmiştir. Nefret söylemi ile dijital şiddeti etkili bir şekilde önlemek için kapsamlı ve çok katmanlı stratejilerin gerekliliği vurgulanmıştır. Türkiye’de çevrim içi şiddet içeriklerinin kontrol altına alınmasına yönelik yasal ve kurumsal girişimlere, dijital okuryazarlığın geliştirilmesine ve toplumsal farkındalığın artırılmasına vurgu yapılmıştır. Bulgular, ifade özgürlüğünü korurken çevrim içi nefret ve dijital şiddetin risklerini azaltan dengeli politikaların önemini ortaya koymaktadır. Çalışma, dijital nefret söylemi, çevrim içi aşırılık ve dijital şiddet konularında ulusal ve uluslararası yayınların incelendiği bir literatür çalışmasıdır.
Lugares de memoria y crímenes de Estado : una revisión sistemática sobre su estudio en Latinoamérica
Authors: Carvajal-Loaiza Nicolás Joel , Valencia-Varon Ana María , Riascos-Guerrero Julio Alejandro , Arboleda-Ariza Juan Carlos
Published: December 2024

Esta revisión sistemática examina la literatura académica sobre lugares de memoria vinculados a crímenes de Estado en América Latina publicada entre 2014 y 2024. El estudio busca comprender cómo estos espacios han sido conceptualizados, estudiados y debatidos en la región. La búsqueda se realizó en múltiples bases de datos académicas, siguiendo los lineamientos PRISMA. Se analizaron 119 publicaciones, de las cuales se seleccionó un total de 41 documentos científicos. Los resultados revelan una evolución en la comprensión de los lugares de memoria, desde enfoques centrados en la materialidad hacia perspectivas que enfatizan su carácter dinámico y performativo. Se concluye que el campo de estudios sobre lugares de memoria en América Latina se ha consolidado como un área interdisciplinaria que ofrece insights valiosos sobre los procesos de elaboración del pasado traumático y los desafíos de la construcción democrática en la región.
La crisis ecosocial en clave civilizatoria : alternativas y experiencias educativas desde Cuba
Authors: Morejón Ramos Anisley , García Oihane
Published: December 2024

Las aportaciones al tratamiento de la crisis ecosocial, en sus múltiples dimensiones, se reagrupan en dos tendencias generales: una hegemónica, que resituó la crisis con salidas plausibles dentro del sistema del capital en términos de capitalismo verde, y otra contrahegemónica, al abordar la temática socioecológica en clave civilizatoria, y con ello poner en el centro del debate el modelo de desarrollo. En este artículo tenemos como propósito reflexionar sobre los retos educativos de la crisis ecosocial actual en clave civilizatoria tomando como referencia a Cuba. En concreto, analizamos las políticas gubernamentales en el campo de la educación ambiental, así como las experiencias de educación popular ambiental que se desarrollan desde la sociedad civil cubana y los grupos de estudios.
TokEncryption: Enhanced Hashing of Text using Tokenization
Authors:   VIT-AP University, India, Vadlapati Praneeth
Published: December 2024

In the current digital space, the security of sensitive information, such as passwords and private data, is of
high importance. Traditional hashing methods might not adequately address data privacy concerns or vulnerabilities
created due to weak passwords. Tokenization methods are utilized in natural language processing (NLP). This paper
introduces a method called “TokEncryption” to utilize tokens for one-way encryption of text called hashing. A
tokenizer is used to generate tokens for an input text, which are utilized to encrypt the text to create secure encrypted
text. Different characters of the text are encrypted using distinct tokens to ensure a variation in encryption patterns
throughout the resultant text. The process enhances data security and privacy using an unconventional approach that
makes it secure from attackers attempting to reconstruct the text. The system can be used in addition to the existing
encryption approaches. The results show a successful encryption of text. Weak passwords are successfully encrypted
to create strong passwords with multiple types of characters, including alphabets, numbers, and special characters. The
code is available at github.com/Pro-GenAI/TokEncryption.
Keywords: data privacy, data security, data encryption, natural language processing (NLP), tokenization,
cryptography, information security
MedManage: An Efficient Hospital Management System
Authors: Shrivastava Anurag , Ansari Mohd Faiz , Hafeez Anas , Mirza Aman
Published: December 2024

Hospital operations are increasingly becoming
complex and need strong management systems that would help
simplify the processes, enhance patient care, and increase the
efficiency of hospital operations. MedManage is a complete
HMS, capable of delivering multiple functionalities related to
a hospital under a single roof. The following paper focuses on
the architecture, features, and benefits of MedManage with a
specific view toward positioning it for enhancing hospital
administration and patient care. The growing complexity of
running a hospital calls for developing an efficient management
system to streamline processes and maximize the care of
patients, using the right resources. MedManage is an integrated
system aimed at the needs presented in this paper. MedManage
integrates other functions in a hospital; it has the management
of patients, appointments, billing, inventory management, and
reporting under one platform. By embracing the latest
technologies, from cloud computing to machine learning and
data analytics, MedManage provides real-time insights to
improve decision-making within healthcare. This paper will
present the architecture, major features, and benefits of
MedManage, along with a case study that has been done in a
hospital's real setting. There are many challenges the healthcare
industry faces in terms of dealing with patient information,
scheduling, billing, and other forms of administration.
MedManage is an integrated HMS that provides ways to
simplify processes, improve patient care, and increase
efficiency in its operations. The paper deals with the
architecture, features, and benefits of MedManage and shows
its ability to change hospital administration and patient care.
Hospital management systems have to be designed strongly in
such a way that their administrative tasks can be carried out
easily, efficiently, and smoothly. The above discussion also
aims at further improvement of patient care with absolute data
integrity. MedManage is an all-inclusive HMS especially
designed to meet the above requirements. This paper portrays
the architecture, features, and benefits of MedManage, with a
focus on its capacity to improve the efficiency of hospitals and
patients' outcomes.
Key Words: Database,
AI-Enhanced Educational Platform for Personalized Learning Paths, Automated Grading, and Real-Time Feedback
Authors: Mane Pranjal Anil , Jagtap Dr. Santosh
Published: December 2024

An AI-enhanced educational platform can significantly improve learning outcomes by tailoring instruction to
individual needs. Studies indicate that personalized learning can boost student performance by up to 30% and
enhance engagement by over 60% [20]

. Automated grading can reduce instructors' grading time by nearly 40%,
allowing more focus on student interaction [21] while real-time feedback has been shown to improve retention rates
by approximately 50%[22], making education more adaptive and effective. This research presents an AI-enhanced
educational platform designed to offerpersonalized learning paths, automate grading, and provide real-time
feedback.The platform leverages advanced machine learning models, including Gradient Boosting, XGBoost, and
Random Forest, topredict student performance and tailoreducational experiences to individual needs. A dataset
containing student information, including age, grade level, learning style, and academic performance, was used
to train and evaluate these models. The results demonstrate the platform's effectiveness in improving learning
outcomes by adapting to students' unique requirements. The challenges faced during implementation, such as
dataset limitations,real-time feedback generation, and model interpretability [4]

. Future directions for enhancing

the platform and expanding its scope are also outlined.

Keywords: Gradient.Boosting Classifier, XGBoost, Random Forest, Student performance prediction, Data-
driven education, AI in personalized learning, Educational technologyinnovation
The Effect of Internal Audit Against Fraud Prevention
Authors: Taufik Mochammad , Dianita Mirna
Published: December 2024

This study aims to determine the effect of internal audit on fraud prevention. The object of this research was conducted at PT Asuransi Jasa Indonesia.This type of research is quantitative research. The population in this study amounted to 30 people. The data collected is by distributing questionnaires with correlation data analysis, coefficient of determination, and hypothesis testing t. This study uses SPSS 22 tools for windows. that the implementation of internal audit at PT Asuransi Jasa Indonesia is good enough. In addition, the results of the correlation test indicate that the application of internal audit at PT. Indonesian Insurance Services are quite strong. Hypothesis test results also indicate that internal audit affects fraud prevention at PT Asuransi Jasa Indonesia (fraud).
Pengaruh Kualitas Pelayanan Dan Harga Terhadap Kepuasan Pengunjung Hotel
Authors: Larashati Irena
Published: December 2024

Competition in the business world today is increasingly competitive; this is also felt by business people in the hospitality sector who demanded to have better service quality and reasonable prices to satisfy customer satisfaction. This study aims to determine the effect of service quality and price on hotel visitor satisfaction. The analysis used in this study is verification analysis with path analysis. I am using a sample of visitors at one of the 3-star hotels in the city of Bandung as many as 99 visitors. The results showed that there was an influence of service quality and price on visitor satisfaction by 0.77.1%, while the remaining 22.9% was influenced by other factors not examined.
Analisis Fungsi Kepemimpinan Terhadap Kepuasan Kerja Pada Kinerja Pegawai Dinas Perindagkop Dan UMKM Kabupaten Bandung Barat
Authors: Rohaeni Yan , Manik Ester , Hardiyana Aan
Published: December 2024

This study aims to determine the effect of leadership functions on job satisfaction. Theoretically, the leadership function divided into 3 (three), namely the instruction function, delegation function, and control function. The research method used is the quantitative verification method. The sample used is an employee at the Department of Industry and Trade and SMEs in West Bandung Regency as many as 90 employees. Data analysis techniques using path analysis. The results of the study prove there is an influence of the leadership function on job satisfaction by 52.0%.
Kinerja Proyek Ditinjau Dari Sistem Pengendalian Internal, Audit Internal Dan Efisiensi Beban Proyek
Authors: Kiswanto Restu , Fajar Catur Martian , Suparwo Adi
Published: December 2024

The low performance in carrying out projects at PT Maratama Cipta Mandiri led to a decrease in project revenue, it can be proven that in practice there are still ineffective and efficient project implementation in the management system, audit results, and project costs. Referring to this, this study aims to determine the impact of internal control, internal audit, and the efficiency of project costs on project performance. The method used is a survey method with a quantitative approach, and descriptive verification research type. The data source used is primary data as a result of 88 questionnaires distributed to employees. The results of the study based on the partially proposed hypothesis shows that internal control has a significant positive effect on project performance, internal audit has no significant negative effect on project performance, the project load efficiency does not have a significant positive effect on project performance, and simultaneously internal control, internal audit, and project cost efficiency have a significant positive effect on project performance. Other results found that there are variables that have the greatest influence on project performance is internal control, with the accounting system dimensions of the accounting system design indicators. From the results of this study it is expected that the company can improve the internal control system so that it can improve the performance of the project at PT Maratama Cipta Mandiri.