bluuebunny/crossref_metadata_2025 huggingface dataset:
Customers Perceive AI Influencers Provide a Better User Experience Compared to Human Influencers on Reliability and Trustworthy
Authors: Chen Jingyi , Wang Yaxi
Published: February 2025

The paper will focus on the customer’s perception of AI Influencers and whether they provide A Better User Experience Compared to Human Influencers on Reliability and Trustworthy. The paper aims to investigate the role of AI influencers in creating the perception of trustworthiness and reliability to consumers, as compared to human influencers, in terms of digital marketing strategies. The two objectives of the study are to examine the consumer’s perception of the trustworthiness and reliability of AI influencers and examine the consumer’s perception of the trustworthiness and reliability of Human influencers. The study will focus on the Millennials and Generation Z as the participants in the research. The decision to prioritize Generation Z and Millennials in the present research is based on their unique traits as digital natives alongside their increasing impact in the client marketplace. AI influencers use modern algorithms and machine learning methods to evaluate data on consumer habits and tastes in order to create information that is specific to their customer’s perceptions. Customers’ purchase decisions for an endorsed brand are due to real-life experiences that resonate with their needs. The study will be appropriate for business and company owners to employ AI or human influencers in their brands as their digital marketing technique.
Explain the combination relationship between different rotation operations of Pyraminx by using group theory, finding the solution sequence from the initial state to the target state
Authors: Zhang Mengyun
Published: February 2025

This article explores the strategy of combining group theory and programming methods to study and solve the problem of irregular Rubik’s Cube. Group theory, as an important branch of algebra, is a powerful tool for studying symmetry and structural transformations. In the study of Rubik’s Cube, group theory is widely used to analyze various transformations and their inherent mathematical properties. Irregular Rubik’s Cube, compared to traditional standard Rubik’s Cube, has a more complex structure and transformation mode, which requires us to consider more subgroups, quotient groups, and their nested relationships when applying group theory.
Navigating the Intersection of Data Brokers and GDPR: Economic Impacts and Limitations in the Information Trade Industry
Authors: Ke Tsz Lam , Cen Yannuo
Published: February 2025

This literature review presents and explains the basic information about the General Data Protection Regulation and data brokers in terms and words that are generally understood by the public. This paper attempts to explore the impact on the online information economy since the enactment of the European Data Protection Regulation of 25 May 2018. Previous literature has explored the impact of the GDPR on the internet industry and is more dedicated to the GDPR and data brokers themselves. This paper delves deeper into how specific data brokers get access to users’ private information and monetize it. This paper also summarizes and analyzes the influence of the GDPR on data brokers in the information intermediary industry, and we will try to find solutions to limit the development and operation of data brokers.
How can we make consumer choose consumption credit tool
Authors: Li Songwei
Published: February 2025

This paper focuses on how to encourage people to consume more and save less by choosing to use more consumption credit tools. In this paper, I mainly test the prevailing strategy used by those super-sized companies, which includes simplifying the bill, giving consumers a discount, and a mixed strategy combining both of these strategies. The reason I chose these two treatments is based on the information I collected from the comments of people about the current credit tools in the social media. I take the form of an online questionnaire with the data from Questionstar, and I use logistic regression to deal with it to measure which treatment works.
The Impact of Cryptocurrency on Global Financial Markets
Authors: Wang Yuehan
Published: February 2025

The research paper will focus on the influence of major cryptocurrencies, especially Bitcoin and Ethereum, on world financial markets and traditional financial systems. It looks at how, because of their decentralized nature, these digital assets have brought new dynamics to financial markets in the price of other assets, their volatility, and their means of investment. The research design is of a mixed-methods nature, combining quantitative data from financial market indices with qualitative insights from expert interviews. Some of the main lessons learnt are declining value with other financial assets, the interdependency between movements in crypto assets and other linked assets and disruptions in banking, payments and investment. Besides, there are regulation decisions that should consider the fluctuations of the market and security requirements, as well as the analysis of many initiatives in order to provide sufficient regulation frameworks on the international level. The concluding advice proposed how not only to accommodate the disturbance of current financial stability through innovations but also to integrate the utilization of cryptocurrencies.
Variance Reduction in Monte Carlo Option Pricing: A Comparative Analysis of Control Variates, Multiple Control Variates and Antithetic Variates
Authors: Zhang Shihan , Song Longyi
Published: February 2025

Monte-Carlo Simulation is a method to solve many financial problems but the convergence rate of the simple Monte-Carlo method tends to be low. In Monte-Carlo Simulation, variance reduction is a technique to reduce the accuracy of the simulation in order to increase the efficiency and accuracy of the simulation. This paper aims to investigate and compare the methods which reduce the variance for the Monte Carlo simulation. Three variance reduction techniques, involving control variates, multiple control variates and antithetic variates, are implemented to Monte Carlo simulation for option pricing, including European and Power put and call options. Multiple control variates is a linear combination of variates in control variates. Black-Scholes Model are used as a benchmark for the validation of the accuracy and effectiveness of three methods in an initial condition. Various scenarios, compromising different Strike Prices, Risk-Free Interest Rates and Volatilities, are used to analyse their impact on the performance of three methods and to compare the effectiveness of these techniques in different occasions. Sufficient simulation paths are set to be 1 million, which ensures statistical stability. The results demonstrate that multiple control variates perform as the best technique in most cases, while in some cases antithetic shows a better performance than the other 2 methods. Moreover, control variates sometimes give a similar effectiveness in variance reduction compared to multiple control variates, but it performs worse in most experimental occasions than multiple control variates.
The role of personality traits in influencing diagnostic outcomes
Authors: Chen Jia
Published: February 2025

The global toll of mental illness is broad and far-reaching, affecting individuals, families, communities and society as a whole. The World Health Organization (WHO) estimates that approximately one in four people worldwide will be affected by a mental health problem in their lifetime. Some diagnoses do not have long-term stability. Considering the possibility of multiple co-existing psychiatric disorders when confronting a patient, it can therefore be assumed that the change in the patient’s diagnosis is not a change in the disease, but rather a change in one of the features of the assessed disorder. A high value of this feature will manifest as a certain disease, and a low value will manifest as another disease. There has been a great deal of academic research showing a strong link between personality traits and mental illnesses, specifically in terms of how different mental illnesses are characterized by different personality types. The change in diagnosis can lead to changes in treatment. However, it would be helpful if personality traits could be mapped to the possible traits of the mental illness at the outset, to identify possible trends in the patient’s condition and to provide more individualized and precise treatment. So the aim of this paper is to expound the possibilities and reasons for the occurrence of changes in psychodiagnostics findings in order to set the basis for discussion, and to point out the continuity and relevance of personality traits and mental disorders by means of several psychological models.
Design of temperature and humidity control system based on Single Chip Microcomputer
Authors: Qin Peijin
Published: February 2025

This paper presents a temperature and humidity control system based on STC89C52, which mainly includes hardware design and software design. Hardware design part completes the electronic components selection, circuit design and debugging, software design part completes the preparation of each function module subprogram and system main program. The system designed in this paper can drive the working state of the back-end equipment in real time according to the temperature and humidity value in the current working environment, so as to effectively control the effect of indoor temperature as well as humidity, so as to reduce the occurrence of aging weapon equipment and abnormal work accidents caused by the temperature and humidity exceeding the predetermined value.
Research on the electrocatalytic reactions of zeolitic imidazolate frameworks (ZIFs) and their derivatives.
Authors: Jin Boyu
Published: February 2025

In the present era, the world is deeply entrenched in a severe air pollution predicament. Particularly, the massive emissions of harmful gases such as greenhouse gases have imposed a heavy burden on the ecological environment. However, the cutting-edge technology of electrocatalysis holds the promise of effectively reducing these harmful emissions through specific chemical reactions, thus offering a new solution to improve air quality. This research focuses on utilizing metal-organic frameworks, especially the zeolitic imidazolate frameworks, to meticulously fabricate special catalysts. Three representative types, namely ZIF-67, ZIF-67@Ni, and ZIF-67@DCD, are selected. Through a series of complex and rigorous synthesis, characterization, and comprehensive performance tests, including linear sweep voltammetry, cyclic voltammetry, and current intensity tests, their catalytic efficiencies are thoroughly investigated. The results reveal that, due to the addition of nickel, ZIF-67@Ni exhibits outstanding catalytic activity and stability. This fully demonstrates the enormous potential of customized ZIF-based materials in enhancing electrocatalytic performance, which is expected to bring significant breakthroughs in the fields of hydrogen energy utilization and environmental remediation and open a new chapter in green development.
Design of an Analog Computer for Handling Ordinary Differential Equations
Authors: Li Dapeng(Roc)
Published: February 2025

This study describes the design of an operational amplifier-based analog computer that can be used to process ordinary differential equations. It can be used to handle operations such as summation, negation, and integration. The study is organized as follows: Section 2 introduces the principle of circuit blocks. Section 3 introduces the Circuit design for first-order differential equation. Section 4 introduces the Circuit design for second-order differential equation. Section 5 summarizes the applications of analog computer.
Applications of Polya’s Enumeration Formula
Authors: Xu Yake , Shen Yixin , Wang Ming
Published: February 2025

This essay purely aims to provide basic information related to Polya’s Enumeration Theorem and its applications in three distinct fields: Chemistry, Music, and Simple graph. Each section access the theorem in various insights and perspectives, resulting in a mix of ideas without strictly deeper focus.
A Comparative Review of Removing Chromium (VI) from Electroplating Industry Wastewater Using Electrocoagulation and Membrane Filtration
Authors: Li Bingjie , Wang Yue
Published: February 2025

This comparative review aims to evaluate the effectiveness, efficiency, and feasibility of two treatment methods—Electrocoagulation (EC) and Membrane Filtration (MF)—for removing hexavalent chromium (Cr (VI)) from electroplating industry wastewater. Cr (VI) is a highly toxic and carcinogenic contaminant, necessitating efficient removal techniques. This study reviews recent literature on EC and MF’s operational principles, performance metrics, and environmental impacts. Key findings indicate that while EC offers precise treatment with lower initial costs, MF provides higher removal efficiency and can handle larger wastewater volumes. Both methods exhibit specific advantages and limitations regarding operational costs, maintenance, and environmental impact. The review concludes that the treatment method choice should be based on specific situational requirements, emphasizing the need for further research to optimize these technologies.
Exploring Artistic Expressions of Postcolonialism: A Case Study of Frida Kahlo
Authors: Jian Xuan
Published: February 2025

Postcolonialism is a theory that explores the cultural impact of colonization, which did not die after countries and nations gained their independence one after another, but profoundly affected the colonized lands with political, economic, and cultural penetration. Artists who awakened to a new national consciousness and adhered to a post-colonial political stance produced many related works. Taking the famous Mexican artist Frida Kahlo as an example, this paper explores the expressions and meanings of postcolonial art in terms of both cultural subjectivity and trauma expression. Using a postcolonial theoretical framework and a work analysis approach, this study considers and interprets her postcolonial artistic expressions, and finally extracts two important features of Frida Kahlo’s work: the first is the common use of indigenous Mexican cultures to interpret what she thinks and feels, and the second is the use of surrealism and magical realism to dramatize the postcolonial traumas of her and her compatriots. Frida Kahlo, for example, has a high degree of recognition of her Mexican identity and a deep emotional connection to Mexican culture. As a result, she is able to obtain a constant stream of inspiration from the local culture and use it to write about her own subject as well as the collective. To this day, the techniques she used are still worthwhile for marginalized cultures to learn from and apply.
Study on the Mechanism and Model of Enterprise Brand Community Construction in the Context of the Digital Economy
Authors: Wang Enbo
Published: February 2025

Community is a platform for businesses to communicate with consumers, and also an important way to resolve conflicts between the two. However, many corporate communities nowadays are not as good as people imagine. They are just a group ignored by customers, with no practical significance. Therefore, many companies are now looking for better ways to enhance communication among members, and increase communication between customers and products, thus enabling the community to create greater profits for the business. Adding theoretical content to community communication can solve the inertia problem in the community.
Submissive or Rebellious? The Formation and Popularity of Ryousangata Wotaku’s Style
Authors: Zhou Xingyuan
Published: February 2025

The popularity of Ryousangata Wotaku’s style is a notable phenomenon after the COVID-19 in Tokyo. It cannot be simply attributed to a change in fashion trends. Furthermore, Ryousangata Wotaku’s style lacks the distinctly rebellious look that other subculture fashions possess. This unusual but rarely noticed phenomenon intrigued me. Through field research, literature research, and comparative study with other subcultural fashions, I found that Ryousangata Wotakus and young women in Tokyo conformed to the standards of “kawaii” and social expectations to obtain social recognition. However, they also resisted the social pressures and norms and desire to express their individuality. This ambivalence led them to choose and improve the Jirai Kei clothing. These findings underscore the formation and popularity of Ryousangata Wotaku’s style is a compromise between conforming to mainstream aesthetics and resisting societal norms and pressures. The study also points to the peculiarity of the pandemic as a tumultuous time – one that has seen a much broader subculture boom than any other era, which is a new perspective for future study.
Research on obstacle avoidance and target search of unmanned aerial vehicles in flood search and rescue work
Authors: Zhang Jinge , Wan Wenlong
Published: February 2025

The increasing complexity of flood rescue missions demands innovative solutions, with drones emerging as pivotal tools. This research explores dronebased obstacle avoidance and target identification, emphasizing dynamic and uncertain environments characteristic of flood scenarios. Integrating multisensor systems such as LiDAR, thermal imaging, and visual cameras, the study aims to enhance obstacle detection and survivor localization. Novel algorithms, including realtime path planning and sensor fusion, are proposed to optimize drone navigation and precision in turbulent conditions. Additionally, the research addresses challenges like computational efficiency, energy optimization, and adaptive decisionmaking. By leveraging advanced AI and machine learning techniques, the project seeks to contribute to autonomous drone applications in disaster management, offering scalable, costeffective solutions to improve operational safety and efficiency in critical rescue operations. The outcomes are expected to provide actionable strategies for deploying drones in realworld emergencies, ensuring faster response and reduced human risk.
Greening the Path to Success: Exploring ESG Performance and Voluntary Disclosure Practices
Authors: Liu Yalin , Dong Kexin , Xu Ziqi , Liang Yixi
Published: February 2025

The escalating global climate change has led to more severe environmental problems, which now serve as a major constraint on sustainable economic growth. This study focuses on analyzing the ESG performance and carbon information disclosure of Chinese A-share listed businesses from 2012 to 2020. It also investigates the influence of corporate ESG performance on their disclosure of carbon emission information. Studies have revealed that a company’s ESG performance has a notable and positive impact on its disclosure of carbon-related information. When companies are non-state-owned ones, in non-heavily polluting industries, and located in areas with stricter environmental regulations, companies with superior ESG (Environmental, Social, and Governance) performance are more likely to provide information about their carbon emissions. The research findings offer empirical evidence for enhancing the transparency of carbon-related data by Chinese publicly traded enterprises and attaining the objectives of “dual carbon”.
Representation Theory of Symmetric Groups and Combinatorics
Authors: Jiao Haoyue
Published: February 2025

This paper contains an introduction of representation theory of symmetric groups and several applications in Combinatorics. By using Hook length Formula, we then consider two specific shaped Standard Young Tableaux (SYT) where (n, n) shaped SYT has a connection with Catalan Numbers and the number of ways to fill a triangular formed SYT represents the largest irreducible representation of such symmetric group.
Application test methods and impact of generative artificial intelligence in engineering management
Authors: Li Zhuohang
Published: February 2025

Engineering management is the key to the successful implementation of projects, but it has always faced problems such as low efficiency and limited intelligence level. The rise of generative artificial intelligence has brought new opportunities for the development of the industry. The main goal of this study is to deeply explore the application test methods and impact of generative artificial intelligence in the field of engineering management, and explore the feasibility of applying generative artificial intelligence in the field of engineering management to optimize the planning, execution, monitoring and summary process of engineering projects.
Can room temperature superconductivity be reached
Authors: Jiang Shunzhe
Published: February 2025

In 1911, scientists first discovered the phenomenon of superconductivity. For more than a century after that, physicists have been committed to the development of new superconducting materials for industrial production and daily life. However, up to now, almost all superconducting materials need to be superconducting under strict pressure and temperature conditions, which greatly limits their application. Therefore, finding the new superconducting materials make it possible to achieve superconducting properties under normal temperature and pressure conditions close to the room, which has become a dream of physicists and material scientists, and it is also an event that the community is eager to pay attention to. So, in the near future, can room temperature superconductivity be achieved? Can it improve human production and life on a large scale? Therefore, this study first reviews the research history of superconducting theory, summarizes and analyzes several popular superconducting materials at present, and analyzes the possibility of applying room temperature superconductivity to production and life, considering the perspective of theory and material combination. The analysis process and results of this paper can play a scientific popularization role for the public concerned about room temperature superconductors and can also be used as an introductory material to help college students interested in superconductors quickly enter the subject.
ESG Investors and Firm Performance: Catering or Impacting
Authors: Huang Ke
Published: February 2025

As the scale of ESG investment grows, the way it affects firm performance remains unclear. This study explores the relationship between ESG investment and firm performance through empirical analysis, and finds that the relationship is complex, with both catering and impacting, and that it varies across countries, firms and dimensions. While some firms’ ESG performance improves after investment, there are also firms that engage in catering behavior. Based on the findings of the study, the article proposes corresponding recommendations for firms and investors, including the formulation of long-term ESG strategies by firms, integration into their core strategies, focusing on the improvement of social performance; the reinforcement of ESG investment concepts by investors, in-depth analysis of ESG performance of firms, and the formulation of diversified investment strategies.
A Pragmatic Study of Emojis on WeChat: from the Perspectives of FTA (face-threatening act) and Request Strategy
Authors: Yang Shuyu , Cao Wei , Li Dongsheng
Published: February 2025

The usage of emojis has become a ubiquitous and effective method of online communication. This paper focuses on emojis used in request messages on WeChat based on the face theory and request strategy, aiming to explore the features of emoji usage in terms of representational patterns and pragmatic functions. By analyzing the data collected through the Discourse Completion Task, it is found that emojis are most likely to occur singly and in the supportive move of requests. Emojis are usually used to represent emotions, attitudes, and virtual actions, indicating that they are always complementary to the text. Additionally, the weightiness of face-threatening acts has no significant influence on the pragmatic usage of emojis. This paper can enrich the pragmatic studies on emojis in terms of one-to-one online interaction. Moreover, it can help gain a deeper understanding of emojis used in request messages.
The impact of ESG performance on cost of equity capital
Authors: Wang Chuhan , Li Ding , Bai Yifan , Dang Zeyuan
Published: February 2025

This paper analyzes the relationship between ESG performance and the cost of equity financing from the perspective of the three dimensions of ESG. On the basis of MSCI ESG, this paper makes an innovative selection of 50 U.S. companies based on past research. On the basis of the theory of asymmetric information, stakeholder, signaling, and corporate risk management, this paper builds a correlative model and makes an analysis of the relationship between ESG performance and equity funding. The results show that there is a negative relationship between ESG performance and equity funding. These results not only add value to ESG studies, but also offer a valuable perspective to companies that wish to optimize their funding costs by enhancing their ESG results, thus underlining the real importance of CSR in the current economy.
Implementation and optimization of recommendation systems
Authors: Liang Jinghan
Published: February 2025

This study focuses on the implementation and optimization of a recommendation system using deep learning-based collaborative filtering algorithms. The system utilizes user-item interactions from provided datasets to predict user ratings for items in a test set. We introduce a hybrid model that incorporates both collaborative filtering and matrix factorization techniques to enhance prediction accuracy. The collaborative filtering approach exploits similarities between user preferences, while the matrix factorization method decomposes the user-item matrix to capture latent features. The effectiveness of the system is evaluated through various metrics, including precision and recall, with results indicating substantial improvements in recommendation accuracy and system robustness.
Future Trends in Digital Payments and E-commerce
Authors: Liu Yida
Published: February 2025

With the rapid development of digital payment and e-commerce technologies, the global business environment is undergoing profound changes. In recent years, the widespread application of mobile payment, blockchain technology, real-time payment and artificial intelligence has not only improved payment efficiency, but also provided new growth momentum for e-commerce. This study explores the core trends, technological innovations and future directions of digital payment and e-commerce through literature review, industry data analysis and case studies. The study shows that mobile payments and digital wallets will continue to dominate the market, and the popularity of real-time payments and open banking technologies are reshaping cross-border transactions. At the same time, consumers’ demands for privacy protection and green supply chains are forcing companies to make adjustments in technology applications and operating models. This study provides a useful reference for policymakers, business managers and researchers.
Face Recognition Model based on Deep Learning Method
Authors: Li Linfeng
Published: February 2025

Facial recognition technology has made significant progress in recent decades and is now widely used across various fields. However, as application scenarios become more complex, traditional face recognition methods face limitations in handling intricate environments and varying facial expressions. This article aims to address these challenges by developing an efficient and accurate face recognition model using deep learning methods to enhance recognition accuracy and robustness. Key aspects include data collection and preprocessing, where an image dataset containing 90 different types of facial data was collected, preprocessed, and labeled, employing data partitioning and enhancement techniques. The model design involved creating (CNN) based on ResNet50, complemented by SVM for classification, followed by model training and optimization. To further enhance the model’s generalization and robustness, data augmentation and cross-validation methods were utilized. The model’s performance was evaluated using various metrics, including accuracy, recall, and F1 score, demonstrating its recognition capabilities. Additionally, visual diagrams depicting model loss, iterations, and accuracy were created to facilitate understanding and analysis of the training process. Through these research efforts, this paper achieved notable improvements in the accuracy and robustness of face recognition technology, providing a solid foundation for future research and applications.
Solving the Sliding Puzzle problem using the A* algorithm and comparing the effectiveness of different heuristic functions
Authors: Qin Zike , Zhang Mingfei
Published: February 2025

This paper aims to solve the Sliding Puzzle problem using the A* algorithm and compare the effectiveness of different heuristic evaluation functions. Multiple heuristic functions including Manhattan Distance and Linear Conflict will be investigated. This helps to determine the best heuristic function of the A* algorithm by considering efficiency and accuracy.
From the first high-rise building to the modern skyline: social class and architectural evolution
Authors: Ai Zijie
Published: February 2025

This article mainly explores the rise of high-rise buildings, driven by population growth and social development. Firstly, the emergence of the first high-rise building was introduced, followed by an overview of the development of high-rise buildings in different periods. In addition, the significance of high-rise buildings in modern society, particularly their impact on urban development and social stratification, was also discussed. High rise buildings have replaced the low-rise luxury ancient buildings of the last century, and due to other factors such as geographical environment, their high prices have gradually become the preferred choice representing the affluent class. And discussed the situation and duality of the high class represented by high-rise buildings. High rise buildings not only elevate urban standards, but also effectively connect ancient history with modern culture. High rise buildings not only provide better living resources and convenience, but often reflect the image of the city and the stories behind it.
From the Battle of the Granicus in 334 BCE, the shield’s inscription
Authors: Shen Zixin
Published: February 2025

This paper is about the inscriptions on the shields that were carved after the first battle the Macedonians fought against the Persians. It is basically about what the carving might symbolize to the people at a time and what Alexander III wanted to portray in this inscription. In this work the main essential message of the shield is about Alexander dedicating the victory of the Battle of the River Granicus to himself and the soldiers fighting at his side. Alexander is also dedicating his victory to Athena since he sent the shields back to Athens. The text also left out the Spartans since they didn’t take part in the battle. This piece may allow people to understand more about Alexander’s early aims for his conquests and how he portrayed the people of the ancient world. It may also give some insight into Alexander’s character as well.
Assessing the Impact of Personalized Recommendation on TikTok on People’s Purchasing Behavior
Authors: Zeng Tianyi , Gu Zixin , Xiong Le , Jin Yiyue
Published: February 2025

There have been increasing concerns over the impact of personalized recommendations on people’s behavior since many social media platforms used by modern people have such algorithms. Notably, influences on people’s purchasing behavior are usually analyzed to provide useful implications for both consumers and companies. This article investigates the impact of personalized recommendations on TikTok on people’s purchasing decisions. A primary research method, a survey, is used to gather people’s opinions toward personalized recommendations. It reveals that people of different age groups respond differently toward personalized recommendations but it is certain that the recommendation system on TikTok has an impact on people regarding their purchasing decision.
The Impact of Accruals on Investor’s Financing Decision
Authors: Liu Ditong , Chen Runzi , Wang Xiaoxiao , Tan Dingqing
Published: February 2025

Based on the annual financial statement data of 40 listed companies in China in the past three years, this paper uses hierarchical regression to analyze how companies manipulate financial statements with the accrual basis component to influence investors’ decisions. Accruals are a key measure of a company’s financial health and profitability and have a significant impact on investor behavior. However, accrual basis analysis relies on the accounting standards and the subjective judgment of the company management, and is not perfect. This analysis involves two models, and our research results show that accruals can produce 25% of the explanatory force on stock return, which means accruals will have a significant positive impact on stock return.
The Non-universality of an Algorithm to decide if a point is in the exterior or on the boundary of a closed constructive set
Authors: Bao Yicong , Li Yiqian , Liu Sicong , Yuan Longjun
Published: February 2025

It seems we can find if a point is on the boundary or in the exterior of a closed constructive set. However, this is not true in constructive math. This paper investigates the algorithmic decidability of determining the position of rational points relative to closed sets given as the intersection of closed intervals with rational endpoints.
Dialog Antaragama Berdasarkan Studi Alkitab Kisah Para Rasul 17:22-34
Authors: Paisal Paisal , Lusiana Lusiana , Siregar Esron Mangatas
Published: February 2025

Menjaga keharmonisan di tengah masyarakat yang multikultural menjadi keharusan bagi orang percaya melalui dialog antaragama agar potensi konflik agama tidak terjadi. Sehingga toleransi antaragama dapat terus terjalin erat. Walaupun tentu tidak mudah dalam hidup bersama di lingkungan masyarakat yang multietenis sebab diskriminasi dan eksklusivitas masih menjadi tantangan tersendiri terjalinnya dialog yang efektif. Melalui kitab Kisah Para Rasul 17: 22-34 ditemukan cara-cara Paulus yang berdialog dengan efektif dengan para filsuf di Atena sebagai sebuah pendekatan komunikasi lintas keyakinan. Dengan tujuan memungkinkan setiap orang yang memiliki pemahaman yang berbeda akahirnya menghormati perbedaan, dan tidak selalu berorientasi pada pencapaian kesepakatan. Penulis menggunakan metode kualitatif melalui pendekatan hermeneutik terhadap teks dan kajian kepustakaan. Hasil analisis dialog antaragama berdasarkan kajian Alkitab Kisah Para Rasul 17: 22-34 ditemukan tiga pendekatan dialog yaitu Dialog tentang Allah : Allah Adalah Pencipta Alam semesta, dialog tentang asal usul manusia serta tentang hari akhir menjadi jembatan dan relevan digunakan.
Effectiveness of Nitrogen Foliar Fertilizer on Rice Productivity on Swampland in Majapahit Village, Lubuk Linggau City
Authors: Dora Palupi  , Helda Susianti  , Limartaida Siahaan  , Yus Dwi Yanti  , Widya Analisa
Published: February 2025

Rice is a very important and strategic commodity because it is the main source of carbohydrates for the community. Therefore, an increase in rice production is urgently needed. Swampland is considered a potential option to support food self-sufficiency, given the various advantages it has. One of the main advantages is the availability of abundant water, which is crucial in supporting plant growth, especially in uncertain climatic conditions. Fertilizer is one of the key factors in rice farming. Nitrogen (N) is one of the most important nutrients and should be available to plants. Foliar nutrition can generally increase grain yield while reducing the amount of fertilizer administered through soil application. The purpose of this study is to obtain the concentration and intensity of foliar urea application that is most effective in supporting the growth and yield of rice cultivated in swampland. The experiment was carried out using a complete group random design (RAKL) with a factorial design involving 2 factors and 3 replicates. The first factor is the concentration of urea solution, which consists of 4 levels, namely 3%, 6%, 9%, and 12%. The second factor is the intensity of the application which consists of 3 levels, namely 2 mst, 2 mst, and 4 mst, as well as 2 mst, 4 mst, and 6 mst.
Estudiantes con perfil emprendedor y el uso de las tecnologías. Caso de mujeres autosuficientes
Authors:   Universidad Autónoma de Nayarit, Llanos Ramírez María del Carmen , Cortés García Petra de Jesús ,   Universidad Autónoma de Nayarit, Maldonado Bernal Mónica del Rocío ,   Universidad Autónoma de Nayarit, Carrillo Beltrán Julio César Cuauhtémoc ,   Universidad Autónoma de Nayarit
Published: February 2025

La cultura de emprendimiento es impulsada en el mundo por los países que buscan innovar, generar fuentes de empleos y mejorar su economía. En México existen instituciones que ofrecen, a través de convocatorias, el apoyo a emprendedores, como: la Secretaría de Economía a través del Instituto Nacional del Emprendedor, el Consejo Nacional de Humanidades Ciencias y Tecnologías (CONAHCYT), la Comisión Nacional Forestal (CONAFOR), Secretaría de Medio Ambiente y Recursos Naturales (SEMARNAT), Secretaría de Agricultura y Desarrollo Rural (SADER) y Secretaría de Bienestar, Secretaría de Turismo (SECTUR). Existen también incubadoras de negocios como: Nacional Financiera (Nafin), Fundación ProEmpleo, Productivo, Jóvenes Empresarios por México (JEMAC), Incubadoras de empresas Monterrey (INEM), Empreser de México, Centro Regional de Incubación Empresarial (CRIE) de Morelos, entre otras.
Analysis of Kim Namjoon’s Speech Using Systemic Functional Linguistics (SFL): “We Have Learned to Love Ourselves, so Now I Urge You to Speak Yourself”
Authors: Ramadhani Robi'ah Wisda , Farida Nur Fatinah  , Anita Arum Cahyani
Published: February 2025

This study applies Systemic Functional Linguistics (SFL) with a focus on transitivity analysis to examine Kim Namjoon’s speech at the United Nations General Assembly. The analysis explores how linguistic processes such as material, mental, and relational are used to construct themes of identity, self-love, and collective empowerment. Using a qualitative approach, the study categorizes clauses based on processes, participants, and circumstances to uncover their ideational meaning. Findings reveal that material processes dominate the speech, emphasizing actions and their real-world impacts, while mental and relational processes add depth to personal reflection and identity construction. These processes effectively connect the speaker’s individual experiences with global messages of self-empowerment and social responsibility. This study highlights the power of language in shaping discourse, providing insights into how personal narratives can influence collective action and advocacy.
VITAMIN D DEFICIENCY AND UTERINE FIBROIDS: EXPLORING THE CONNECTION
Authors: Dr Aroosa Anwar  , Dr Sadia Khan
Published: February 2025

Uterine fibroids are one of the most common benign tumors affecting women of reproductive age, often leading to a variety of gynecological and reproductive health concerns. While numerous risk factors have been identified, the role of vitamin D deficiency has recently emerged as an area of interest. This study explores the correlation between serum 25-hydroxyvitamin D (25OHD) levels and the presence of uterine fibroids through a case-control approach. Utilizing statistical models such as correlation and regression analysis, we assess the relationship between vitamin D levels and fibroid prevalence. Our findings highlight a significant inverse correlation between vitamin D levels and fibroid presence, suggesting that adequate vitamin D levels may play a role in fibroid prevention. These insights could lead to potential non-surgical interventions for managing this condition.
PERCEPCIONES DE USUARIOS Y PERSONAL DE ENFERMERÍA SOBRE LA CALIDAD DEL SERVICIO DE EMERGENCIAS EN UN HOSPITAL DE BOLIVIA
Authors: Loza Sosa Jannette Marga
Published: February 2025

Este estudio se centra en evaluar de manera integral la percepción de la calidad del servicio de emergencias del Hospital Materno Infantil Germán Urquidi, Cochabamba, Bolivia, considerando las perspectivas de los usuarios y el personal de enfermería. Con un diseño metodológico descriptivo y transversal, se recopilaron datos mediante cuestionarios estructurados que abordan dimensiones importantes como la continuidad, integridad, comodidad y eficacia del servicio. Los resultados revelaron que los usuarios valoraron positivamente la continuidad y la integridad de la atención recibida, mientras que la comodidad y la eficacia del servicio presentan áreas críticas de mejora. El personal de enfermería percibe la calidad en distintos grados, identificando las relaciones interpersonales y el ambiente laboral como puntos débiles. Este enfoque integral identificó estrategias importantes para la mejora continua de los servicios, orientadas a optimizar la satisfacción tanto de los usuarios como del personal. Este estudio enfatiza la importancia de la evaluación constante para asegurar la calidad y la sostenibilidad de los servicios de los hospitales públicos.
Digital Twin Technology: Transforming Cultural Heritage Preservation
Authors: Pasupuleti Murali Krishna
Published: February 2025

Abstract:
Digital Twin Technology (DTT) is revolutionizing cultural heritage preservation by creating high-fidelity digital replicas of historical monuments, artifacts, and archaeological sites. As cultural heritage faces increasing threats from climate change, urbanization, natural disasters, and environmental degradation, Digital Twin Technology offers an innovative solution for real-time monitoring, predictive maintenance, and AI-enhanced restoration. Using 3D scanning, LiDAR imaging, IoT sensors, and AI-driven analytics, digital twins provide detailed insights into structural integrity, material composition, and environmental risks, enabling proactive conservation strategies. Additionally, DTT is expanding public access to heritage sites through virtual tourism, augmented reality (AR), and digital museums, democratizing culture while ensuring historical accuracy and authenticity. However, challenges such as data ownership, digital colonization, and ethical considerations must be addressed to ensure equitable access and responsible preservation. This chapter explores the role of Digital Twin Technology in heritage conservation, its integration into global preservation policies, and future innovations such as AI-driven restoration, blockchain-based authentication, and metaverse-based heritage experiences. By adopting Digital Twin Technology, cultural institutions, researchers, and governments can safeguard the world’s most treasured historical assets, ensuring that human heritage is preserved, protected, and accessible for generations to come.
Keywords:
Digital Twin Technology, cultural heritage preservation, 3D scanning, LiDAR imaging, AI-driven restoration, IoT sensors, predictive maintenance, virtual tourism, augmented reality, digital museums, heritage conservation, blockchain authentication, metaverse heritage experiences, historical accuracy, ethical considerations, global preservation policies, immersive storytelling, AI-enhanced conservation, digital heritage democratization.
Assessment of Drought Tolerance in Mung Bean [Vigna radiata (L.) Wilczek] Through Phenology, Growth, Protein Yield, and Cluster Heatmap Analysis
Authors:   Agronomy Division, Regional Agricultural Research Station, BARI, Ishwardi-6620, Pabna, Bangladesh, Islam Rafiqul , Hossain Jamil ,   Pulses Research Centre, BARI, Ishwardi, Pabna, Bangladesh, Huda Shamsul ,   Agricultural Research Station, BARI, Rajbari, Dianjpur-5200, Bangladesh
Published: February 2025

Mung bean [Vigna radiata (L.) Wilczek] cultivation is challenging under the changing climate as less precipitation during the summer season, which is becoming increasingly common, results in soil moisture deficiency and affects production especially at the early growth stages. Hence, this study was conducted to assess the phenology, growth, and protein yield traits of mung bean related to drought tolerance. Eight mung bean genotypes were grown in pots inside a rain-out shelter under well-watered (WW) and water-deficit (WD) conditions. These genotypes included four water stress-tolerant genotypes: G-1 (BARI Mung-8), G-2 (BMX-010015), G-3 (BMX-08010-2), and G-4 (BMX-08009-7), as well as four sensitive genotypes: G-5 (BARI Mung-1), G-6 (BARI Mung-3), G-7 (BU Mung-4), and G-8 (BMX-05001). Soil moisture content was maintained at 22 ± 0.5% (30% deficit of the available water) under WW condition. Water deficit was maintained at WD condition during the entire life cycle and irrigation was applied after symptoms of wilting were observed. Results showed that WD stress significantly influenced the phenology, growth, and protein yield traits in all genotypes. For days to flowering and days to maturity, G-3 took two and four days less in WD than in WW conditions, while G-5 took eight and 19 days less. Because G-3 was revealed as the most drought-tolerant genotype and G-5 as the most vulnerable, G-3 showed the smallest decrease in shoot dry weight and root dry weight under WD stress, whereas G-5 showed the biggest decrease. Likewise, G-3 experienced the smallest reductions in seed yield (35%) and protein yield (32%) under WD condition compared to WW conditions, while G-5 showed the largest reductions (80% and 76%, respectively). The hierarchical clustering analysis using two-dimension heat map also displayed the G-3 genotype as a potential and stable to water deficit stress. These findings show that the studied parameters can be useful in evaluating mung bean tolerance to drought stress and in screening for drought stress-tolerant mung bean genotypes, especially if there are no facilities to determine biophysiological and molecular traits.