Relevance Of Academic Research Research Articles

The Future Development Prospects of Xiaomi Corporation: Based on Financial Analysis and Comparison

With the rapid development of technology, the smartphone industry is experiencing unprecedented changes. Xiaomi, a leading company in this field, has attracted widespread attention for its unique business strategies and promising future prospects. This paper aims to conduct an in-depth study of Xiaomi's strategic choices and explore the potential challenges and opportunities it may face in the future. This research is not only significant for understanding the competitive landscape of the smartphone industry, but also provides valuable practical cases for the academic field. This paper adopts financial analysis, environmental analysis, and SWOT analysis to comprehensively analyze Xiaomi's strategies, aiming to provide new perspectives and insights for relevant academic research and business practices. In the SWOT analysis, the salient strengths in its internal environment lie in the integrity of the ecological chain and high cost-effectiveness. However, the prominent weaknesses in the internal environment are the need to enhance technological proficiency. In terms of external environment, the main opportunities it faces are the global technological development and the advancement of 5G and the Internet of Things (IoT). External threats primarily stem from its competitors. In financial analysis, Xiaomi's primary concern is to enhance its profitability and operational efficiency. Through this research, this paper hopes to provide valuable references for Xiaomi's future development and contribute new marginal value to the academic field.

THE PROCESS OF THE ONE-TIER CORPORATE GOVERNANCE STRUCTURE ESTABLISHING IN UKRAINE AND THE HISTORICAL TENDENCIES OF ITS DEVELOPMENT

The article explores the tendencies of the one-tier corporate governance structure emergence in corporations operating within the territory of Ukraine through the study and analysis of legislative acts and relevant academic research. The purpose of the article is to investigate the continuity of the historical process of establishing the one-tier corporate governance structure within the territory of Ukraine. The conclusion formulated in the article is that the emergence of the one-tier corporate governance structure occurred at the moment when two circumstances converged for the first time in the corporation’s management structure: 1) separation of ownership (shareholding) from control; 2) Combining management and control functions in one collegial body (mostly named the «Board of Directors»). The author suggests that the formation of a collegial management body in corporations within the territory of Ukraine is a long-standing tradition, whereas the formation of a collegial management and control body never occurred until the adoption on February 27, 2022, the Law of Ukraine № 2465-IX “On Joint Stock Companies”. There is an analysis of the historical development and revaluation of corporate relations influenced by French law, which was hindered by the reluctance of the Russian Empire government to allow incorporation outside state control, and later by the inconsistent Soviet authorities’ policies in corporate law. The author investigates the historical development of corporate governance norms influenced by German law, which operated in the Austro-Hungarian Empire and later in Poland, extending its legislative influence for a certain period onto the territory of Ukraine. After regaining the independence of Ukraine on August 24, 1991, national corporate law both used to ensure the rights of shareholders to incorporate and to define the boundaries of corporate legal personality. All this formed the basis for accepting the one-tier corporate governance structure in 2022. The author considers the unquestionable acceptance of the one-tier corporate governance structure, which is not inherent to Ukrainian law, in the form it was formalized in several Western European countries, as the key characteristic of national legal norms.

Unveiling beekeepers’ use and preference of precision apiculture systems

Amid growing ecological concerns surrounding honey bee colony mortality, Precision Apiculture Systems (PAS) emerge as promising monitoring tools to safeguard bee health as well as to improve the beekeeping practices and economic sustainability of apiary operations. These systems offer critical insights into colony dynamics, aiding decision-making processes in beekeeping. Despite a surge in relevant academic research, knowledge of actual PAS usage and preference among beekeepers remains limited. To fill this gap, a standardized survey was conducted among beekeepers in France, Germany, and Greece. This focused geographical scope survey aimed to determine the extent of current and potential PAS adoption, the motivations behind usage or avoidance, and ascertain future preferences. Among the 538 respondents, 45% reported utilizing some form of PAS, with beekeeping scales being the most commonly used. The study revealed that the use of PAS positively correlates with both the number of hives managed and the distance of the apiary from the beekeeper’s residence. Overall, 90% of respondents expressed a certain degree of satisfaction with their use of PAS, although the high costs of these tools were identified as a primary obstacle to broader adoption. About 48% of the beekeepers preferred systems with external sensors, highlighting a clear demand for non-invasive health-related colony information. The advantages that foster PAS usage include decision-making support and improved efficiency in monitoring colony growth and honey productivity. These findings can assist in making PAS more accessible to beekeepers, with the aim to enhance colony performance and decision-making capabilities, thus addressing honey bee colony mortality.

Research on the Willingness Model for Community Drug Rehabilitation Participation Based on Mixed Research

Objective: With the continuous improvement of community management functions, community drug rehabilitation management in China has also received increasing attention. Currently, research mainly focuses on the policy and measure reforms of management departments. According to relevant data, the willingness of drug users to actively participate in community drug rehabilitation management is still low. Theoretical Framework: Through a search for quantitative data, it was discovered that two independent factors impact this variable: Program outcomes and small teamwork competence. Furthermore, there exists an additional mediating variable: Client-centered management practices have a correlation with program outcomes and have an impact on the willingness of clients. Client-centered management practice correlates with the proficiency of small workgroups and impacts clients' receptiveness. Method: The researcher used qualitative and quantitative sequential exploratory mixed methods to achieve this. In the qualitative stage, the study focused on key stakeholders from five Correction Institutes using interviews, focus groups, and lessons learned as tools for data collection. A purposive sample of 27 individuals was selected. The researcher used content and topic analysis to develop a conceptual framework and a questionnaire. In the quantitative stage, the study included drug addicts in correction institutes. A sample of 356 respondents was sampled using a systematic sampling method. Results and Discussion: Through literature research and field interviews, our project team found that customer centered management practices, small team cooperation ability, and the achievements of community management projects have an impact on the willingness of drug addiction patients to participate in community drug rehabilitation. Therefore, a structural equation model that affects the willingness to participate in community drug rehabilitation is proposed. We hope to explore the optimal structural relationship through a mixed qualitative and quantitative research method, and provide reference for relevant academic research. Research Implications: As recommendations, managers should analyze project role links and emphasize cross-role communication and collaboration. For future studies, it is recommended to use qualitative data such as work process observations and examine the long-term consequences of participants' Willingness.

Fill in the Blank? A Discussion of Prefilled Tax Returns in the U.S.

ABSTRACT The U.S. tax system imposes a substantial cost of preparation on individual taxpayers. Prefilled tax returns, in which the government prepares tax returns and provides them to taxpayers for any necessary revisions or approvals, would fundamentally overhaul this practice. Such a program has long been debated in the U.S., including multiple recent legislative proposals of a “Tax Filing Simplification Act.” In this paper, we consider a prefilled tax return system for the U.S., concluding that it offers the opportunity to improve the tax filing experience of many Americans by reducing their involvement in an activity widely perceived as unpleasant. However, effective implementation will require careful design. We draw on the implementation and design of programs in other developed countries, along with relevant academic research, to provide insight into the potential design of a prefilled tax return program in the U.S.

Commercialization of Intellectual Property Rights at Universities as an Additional Revenue Stream

This paper investigates the commercialization of Intellectual Property (IPRs) at universities and the potential for universities in Kenya to leverage their Intellectual Property Rights (IPRs) as a vital revenue source. Even though they possess significant intellectual assets, many universities have failed to utilize IPRs and in turn, losing opportunities for income generation. The paper introduces the concept of IP commercialization and the legal IP framework in Kenya and proceeds to discuss how research conducted in institutions of higher learning can be commercialized through an analysis of best practices and case studies. The discussion outlines the relevance of Intellectual Property to universities, the strategies for universities to maximize the value of their IPRs and establish sustainable income streams. Drawing upon relevant literature and academic research, it provides insights into the commercialization process, legal considerations, and the role of technology transfer offices in facilitating successful IPR monetization. The paper concludes by establishing that by implementing proactive strategies and fostering a culture of innovation, universities in Kenya can unlock the full potential of their intellectual assets and achieve financial sustainability.

Legal Personality of Robots

Developing a well-defined legal framework for robots is vital in this age of rapid advancement in technology. Such regulation is important not only to protect patient rights, but also to encourage responsible technological innovation and maximize the potential of robotics. In my research on the legal personality for robots, given the novelty of the topic and scarcity of specialized references, the research was conducted through extrapolating and analyzing related systems and regulations in the field of technology, in addition to studying relevant academic research on legal personality. A range of perspectives and trends were reviewed regarding granting legal personality to robots. The research began with the topic of legal personality in general, then discussed the notion of granting legal personality to robots between proponents and opponents. It also examined the position of countries and international organizations on robot legal personality, which have not yet recognized independent robots as legal persons since robots do not possess finances separate from their manufacturing companies, nor full autonomy from their human makers and operators. It was emphasized that granting legal personality to any entity requires a specific criterion which is the capacity to acquire rights and duties, assume obligations, and legal personality for robots is mainly attributed to the principle of appropriateness, legal necessity and their ability to act with a degree of consciousness and independence, which reinforces the likelihood of their committing harmful acts, causing damage to others. Given the treatment of robots in most countries as objects, the European Parliament put forward the human agent theory. Therefore, legislators should intervene to establish a clear legal framework that defines the legal nature of robots in a way that protects patient interests without discouraging companies and inventors from innovating to maximize the benefits of robotics and artificial intelligence technologies.

Whited Sepulchers: Exploring Explanations for White Overrepresentation in Online Child Sexual Abuse and Exploitation

ABSTRACT This analysis is concerned with the documented-yet-seldom-examined overrepresentation of whites in the US in online child sexual abuse and exploitation or OCSAE. First, we examine two sources of data which indicate an overrepresentation of whites in online child sexual abuse and exploitation including U.S. federal sentencing data and a rapid evidence review of relevant academic research. Second, this analysis then considers potential explanations for this disparity including both differential enforcement and differential involvement. Differential enforcement explanations include the possibility that the disparity is the result of differing law enforcement, prosecutorial, or sentencing practices or varying reporting practices among racial/ethnic groups. The differential involvement explanations considered include differing structures of opportunity (e.g., access and quality of internet available by race), possible variations in sexual fetishism and pornography consumption between racial groups, and the role of victim race in sexual abuse and exploitation. It is likely impossible to provide a definitive list of potential explanations in a single manuscript. This analysis thus considers those explanations that we consider either to be the most likely or are the most apparent.

Why do consumers buy NFTs?: Multi-path of attitude and the bandwagon effect

PurposeThe non-fungible token (NFT) market has been multiplying in recent years. NFTs are tokens stored on a blockchain network based on smart contract technology that can be used to represent ownership of digital assets and cannot be changed like-for-like. With NFTs, all recorded digital properties can be freely traded and stored with values, making them possible to increase content transactions' privacy and security. In addition, NFTs engender new ways to organize, consume, share and store digital content. Despite the rapid growth of the NFT market, related consumer behaviors have yet to be well-known and relevant academic research results are very scarce. This study aims to explain how NFT fits with blockchain and cryptocurrency and how consumers accept it. This paper also develops a structured causal model with multiple paths to explain the antecedents and attitude variables for NFT acceptance.Design/methodology/approachThe data collection was conducted from 542 young consumers in Korea via an online survey. The structural equation modeling method was used to analyze the hypotheses.FindingsAttitudes toward technology and assets positively affect NFT purchase behavioral intentions. Additionally, symbolic driver affects behavioral intention directly.Originality/valueThe results expanded the understanding of the NFT market and consumers, which are still in their early stages. They also provide valuable insights for establishing future market strategies for NFT.

Digitization, the Free Flow of Factors and the Coordinated Regional Development

In recent years, the digitization with the big data and information technologies as the core has effectively changed the flow mode of production factors, and increasingly shows the kinetic energy and potentials of affecting the coordinated development of regions. How does data and digitization affect the flow of factors, and what paths and mechanisms are used to promote the regional coordinated development? The answers to these two questions are increasingly becoming the underlying logic of relevant academic research and policy making. Based on this, relying on the spatial configuration model (SMM), this paper establishes the digital factor flow model, which proves the "inverted U-shaped" development trend of digitization - expanding the regional development gap in the short term and bridging the gap in the long term. Subsequently, in this paper, three empirical models are established to verify the "inverted U-type" conclusion, and to further discuss the relationship between digitization, free flow of factors and the coordinated regional development. Finally, this paper puts forward that local governments should scientifically understand the role of digital factors in promoting the free flow of factors, rationally perceive potentials of digitization in bridging regional development gaps, and give full play to the role of macroeconomic regulations and guidance to improve the underdeveloped digital infrastructure, promote the inclusive development of digital economy, better serve the underdeveloped western regions in China, and finally, to promote the coordinated regional development.

Integrity – a status quo of judicial conduct

This article seeks to elucidate the concept of integrity as a status quo of judicial conduct, guided by the values enshrined in the Bangalore Principles of Judicial Conduct. The examination of judicial integrity as an integrative aspect of judicial behavior will be approached by considering the theoretical acceptance of this value, in light of rele-vant international and national academic research that elucidates the notion of judges’ ethical and financial integrity, as well as the principles applicable to it. The paper also addresses the perspective of reforming justice in the context of granting Moldova the status of a candidate country for European Union membership.

A machine learning-based Bayesian model for predicting the duration of ship detention in PSC inspection

Port state control (PSC) inspections are deemed as an effective way to detect substandard vessels and ensure maritime safety around the world. Despite great efforts on PSC in recent years, one challenge that still exists in today’s PSC inspection practice is that there lack relevant scheme or academic research focusing on the duration of vessel detention, which is of great importance to the inspection system. To assist port authorities in estimating detention duration and minimizing the existence of substandard vessels, this paper aims to develop a novel data-driven machine learning based model based on the inspection records collected within the jurisdiction of Paris MoU from January 2015 to March 2022. The model is trained via the incorporation of an Improved Tree Augmented Naïve (ITAN) learning approach and a maximum a posteriori probability (MAP) of Expectation Maximization (EM) approach for the first time within the context of PSC research, which could be used as a prediction tool to determine rational durations for detained vessels. Thorough analysis of the proposed model enables the identification of risk variables and deficiency types having significant effects leading to long duration of detention. Further, the research findings could reveal managerial suggestions and insights for port authorities to reduce the occurrence of substandard vessels via the inspection system, i.e., identify specific risk level of vessels and ensure a more-efficient vessel selection process; design specific instructions and rules to regulate risk variables and deficiencies with huge effect on a long duration of detention. This research will provide insightful reference for effectively improving vessel quality, inspection efficiency, and maritime safety.

Summary of Research on Coping with Aging Issues in the Context of Retirement Tide

Population aging is one of the important topics in todays research. The researchers found that the aging of the population is still progressing. However, there are still research gaps in the problem of population aging, and there is a lack of certain explanations and cognition. Therefore, this paper studies the problem of aging under the tide of retirement after the age of 60. This paper uses literature comparison and other methods to find that the scale of Chinas post-60 s population is becoming larger and larger, and the aging problem is increasing. Through reading and sorting out relevant literature research, this study shows that scholars generally believe that Chinas population aging has problems such as large scale, fast speed, regional and urban-rural differences, and summarizes the reasons for Chinas aging that most scholars believe from the literature. From the relevant academic research, scholars have proposed methods such as delaying the retirement age, strengthening pension services, and improving the pension system to solve the problem of population aging. This paper believes that the construction of the pension system is the most important to carry forward the culture of filial piety and respect for the elderly and develop the aging industry and pension services.

Effects of digital transformation and environmental resource integration capability on medical equipment suppliers’ green innovation performance

In today’s digital age, the effort of medical enterprises towards green innovation has gained traction in academic and business circles. However, the current research system for medical equipment suppliers lacks a systematic study on how digital transformation can enhance the outcomes of green innovation. This research aims to develop a theoretical framework for digital transformation, environmental resource integration capability, managerial environmental concern and green innovation performance with respect to the resource-based view and conducting empirical analysis using survey data from medical equipment supply enterprises. Our findings reveal that digital transformation has a significant effect on the promotion of green innovation performance through environmental resource integration capability. Moreover, the managerial environmental concern moderates above mediation effect. These findings not only provide compelling insights into the impact of digital transformation on green innovation performance but also have important implications for sustainable development and cleaner production relevant academic research and policy-making.

Whose Church? Which Unity?That We May Be One: Practicing Unity in a Divided Church, Gary B.Agee, Eerdmans, 2022 (ISBN 978‐0‐8028‐8186‐1), xviii + 150 pp., pb $19.99Winsome Conviction: Disagreeing Without Dividing the Church, TimMuehlhoff and RichardLanger, InterVarsity Press, 2020 (ISBN 978‐0‐8380‐4799‐0), x + 214 pp., pb $17

AbstractThese two recent books each offer guidance to Christians in the United States on pursuing unity in the midst of social, moral, political, and theological divisions. They offer two distinct approaches: one relying mainly on relevant academic research and the other drawing mostly on a pastoral appeal. They also target different audiences: one an explicitly theologically conservative evangelical ‘church’, the other a ‘church’ including all professed Christians. This review argues that both have different strengths. While Agee's approach is ultimately more promising for addressing the underlying causes of disunity among Christians, Muehlhoff and Langer offer well‐founded tactics for mutual understanding within a more limited group of Christians.

ANALYSIS OF THE ROLE OF RESERVATION SYSTEMS IN IMPROVING CUSTOMER EXPERIENCE IN THE SALON AND SPA INDUSTRY: LITERATURE REVIEW

This research paper aims to analyze the role of reservation systems in enhancing the customer experience in the salon and spa industry through a comprehensive literature review. The study adopts a qualitative research approach utilizing a systematic review of relevant academic articles, books, and research reports. The research focuses on identifying the benefits and challenges associated with reservation systems, as well as best practices and trends in the industry. The findings contribute to the understanding of the impact of reservation systems on customer experience and provide recommendations for improving reservation system effectiveness in the salon and spa industry.

The Challenges of Nuclear Power Plant Development in Indonesia: A Case of Thorium Power Plant in Bangka Island, Indonesia

This paper discusses the challenges of nuclear power plant development in Indonesia. With a growing belief among policymakers that nuclear power could play a vital role in energy transition and diversification, it is important to analyse the process of nuclear decision-making. Drawing on the case of the development of the Thorium Molten Salt Reactor (TMSR) in Bangka Island, this paper aims to understand the social, political, and institutional aspects of thorium power plant development. More specifically, this paper elaborates on public acceptance and the regulatory environment of nuclear power development. This paper is mainly based on secondary data such as official reports, online media, and relevant academic research. We argue that nuclear power development requires not only good technological and risk management capacity but also strong public trust in the government and nuclear industry through information transparency and openness.

FPGA-based Intelligent Logistics Management for Universities

Abstract With the strong drive for economic and cultural development, China’s higher education has flourished and formed a higher education system and scale with typical Chinese characteristics, and the healthy development of higher education cannot be separated from the strong support and guarantee of university logistics. Based on FPGA technology, this paper explains in detail the design method and computing steps of FPGA technology to build a university intelligent logistics management data analysis system. The performance evaluation is carried out for the system designed in this paper, and the data analysis of the indicator examples is carried out by using five examples of logistics management service indicators of the University of W, namely campus environment, property service, commercial service, residence management service, and utility maintenance. From the performance evaluation data of the FPGA university intelligent logistics management system, the average accuracy, precision, recall, and AUC values of the FPGA-based university logistics management system are 91.90%, 95.78%, 97.28%, and 97.41%, respectively. From the index instance analysis, the average evaluation values of the five services of very satisfied, satisfied, generally satisfied, and dissatisfied are 24.89%, 25.16%, 40.97%, and 8.98%, compared with the previous average values of very satisfied and satisfied evaluations increased by 18.36% and 4.61%, respectively, and the average values of generally satisfied and unsatisfied evaluations decreased by 7.65% and 15.31%, respectively. The FPGA-based intelligent management system of colleges and universities has higher stability and stronger data analysis ability, which can more effectively propose corresponding reform directions for the problems and provide technical support to promote more intelligent logistics management of colleges and universities. At the same time, it enables university teachers and students to carry out relevant academic research and study life without any worries, contributes technical power to promote the overall healthy development of universities, and provides new research directions to broaden the development field of FPGA technology.

Review on Metrics and Prediction Methods of Civil Aviation Noise

Civil aviation noise is one of the main factors hindering the growth of the civil aviation industry. With the increase in global air traffic demand, the problem of aviation noise pollution will become more and more serious. It is of great significance to carry out research in aviation noise. First, by summarizing the characteristics of aviation noise metrics, this paper divides them into three categories: single event noise metrics, cumulative exposure metrics, and daily metrics. Representative metrics of each category are selected for explanation and in-depth analysis. Second, according to the principles of aviation noise prediction models, this paper classifies these existing models into three categories: best practice models, scientific models, and machine learning models. Relevant academic research results are summarized. The best practice model regards the aircraft as noise point source, and its specialty is to predict noise under complex air traffic conditions. The scientific model considers the noise from the level of aircraft components and reflects the underlying physical effects. Based on data, the machine learning model uses algorithms to mine the hidden relationship between various factors and noise to achieve the purpose of noise prediction. Then, this paper introduces two kinds of aviation noise simulation software based on the best practice and scientific models, and lists their access addresses. Finally, challenges and prospects are presented from three aspects: metrics, prediction models and simulation software.

Urban Equity Measure of Tree Canopy: A case study of New York City

The urban tree canopy is widely recognized as an urban resource that contributes to the physical and mental health of residents, yet tree inequality is widespread. To achieve the goal of promoting tree equity and filling the gap in relevant academic research, this study develops a 2-step 9CNN model to obtain highly accurate urban tree canopy (UTC) data from high-resolution satellite images. New York City tree canopy data is obtained by this new method and correlates with New York City socioeconomic data to examine UTC's horizontal and vertical equity. OLS regression correlations of per capita UTC area with the number of elderly, poor, low-educated, and disabled were used to measure vertical equity. To avoid the interference of spatial autocorrelation, GWR models were used to test for spatial differences in vertical equity. The results of the horizontal equity study show that there is far less UTC space per capita in New York's urban centers than in the fringe areas. Vertical equity in UTC is poor across all of vulnerable groups and is particularly pronounced in some regions. These findings can subsequently help to develop policies for UTC equity and environmental justice concerns.