bluuebunny/crossref_metadata_2025 huggingface dataset:
How to Deal with the Cultural Differences of Students in the Process of Art Education and Teaching
Authors: Gou Xiaofang , Manly
Published: June 2024

This study focuses on how to address the issue of cultural differences among students in art education. Firstly, it provides an overview of the current status of students' cultural differences and discusses the challenges and opportunities they bring in art teaching. Secondly, this paper analyzes the importance of culturally sensitive teaching methods and cross-cultural art curriculum design, emphasizing the need for innovative teaching approaches to promote cultural integration and students' comprehensive development. Through comparing relevant cases from both domestic and international contexts, this paper proposes a series of practical strategies and teaching adaptation methods, aiming to enhance teachers' cross-cultural education capabilities and provide references for art education in diverse cultural backgrounds. Overall, this study aims to promote cultural diversity integration in the field of art education, improve teachers' strategies in dealing with cultural differences to optimize teaching effectiveness, and foster students' personalized development.
Diabetes Prediction Using Random Forest in Healthcare
Authors: Wang Shengyu
Published: June 2024

Accurate diabetes prediction has emerged as a crucial problem in the field of healthcare. It is important to detect individuals at risk of having diabetes, which can allow for prompt intervention and tailored treatment strategies. Nowadays, machine learning models are usually employed for diabetes prediction. Lots of work has been developed various machine learning models for diabetes prediction. The random forest, as a popular ensemble learning algorithm, has illustrated its superiority for diabetes prediction. To this end, this paper demonstrates a study that employs the random forest algorithm for diabetes prediction. A random forest model is trained on a publicly available diabetes dataset and compared to its performance with logistic regression. The missing data imputation techniques are further leveraged to improve data integrity. Regarding model performance, it can be found that the random forest model significantly outperforms the logistic regression model. This highlights the superiority of tree-based models, such as random forest, for predicting diabetes compared to logistic regression.
Innovations in Machine Translation: The Role of Machine Learning in Enhancing Linguistic Accuracy and Efficiency
Authors: Xin Kaiwen , Liu Bingchen , Fan Lihao
Published: June 2024

These instructions give you guidelines for preparing papers for DRP Journals. Use this document as a template if you are using Microsoft Word 6.0 or later. Otherwise, use this document as an instruction set. The electronic file of your paper will be formatted further at DRP. Paper titles should be written in uppercase and lowercase letters, not all uppercase. Avoid writing long formulas with subscripts in the title; short formulas that identify the elements are fine (e.g., "Nd–Fe–B"). Do not write “(Invited)” in the title. Full names of authors are preferred in the author field, but are not required. Put a space between authors’ initials. The abstract must be a concise yet comprehensive reflection of what is in your article. In particular, the abstract must be self-contained, without abbreviations, footnotes, or references. It should be a microcosm of the full article. The abstract must be between 150 - 400 words. Be sure that you adhere to these limits; otherwise, you will need to edit your abstract accordingly. The abstract must be written as one paragraph, and should not contain displayed mathematical equations or tabular material. The abstract should include three or four different keywords or phrases, as this will help readers to find it. It is important to avoid over-repetition of such phrases as this can result in a page being rejected by search engines. Ensure that your abstract reads well and is grammatically correct.
Urbanization and its Mental Health Implications in the Philippines
Authors: Hu Yue
Published: June 2024

The objective of this research is to examine the effectiveness of integrated mental health services in urban settings within the Philippines, with a particular focus on the challenges posed by rapid urbanization. The study aims to develop a comprehensive framework that assesses the availability, accessibility, and efficacy of mental health services in metropolitan areas, thereby contributing to the improvement of public health strategies in urban environments. Utilizing a robust methodological approach, the research evaluates several key components of mental health services, including intervention strategies, community engagement, and policy implementation. The results indicate that while there are numerous services available, significant gaps in service accessibility and effectiveness remain. Factor analysis identified five critical areas for improvement: 1) Community Awareness and Stigma Reduction; 2) Integration of Mental Health into Primary Health Care; 3) Enhanced Training for Mental Health Professionals; 4) Strengthened Support Networks; 5) Policy and Infrastructure Development. The study also highlights the importance of aligning service provision with the specific cultural and socioeconomic contexts of Filipino urban populations. The findings underscore the need for a multi-disciplinary approach to mental health care that includes both governmental and community-level involvement.
A Case Study: Tesla's Acquisition of Solar City
Authors: Wang Ziming
Published: June 2024

This paper analyzes Tesla's acquisition of Solar City in 2016 with the purpose of comprehensively evaluating the positive and negative impacts of this acquisition on Tesla. First, this article will introduce acquisition, a common means of business operation in the process of company development. Combined with the basic concept of acquisition, the paper analyzes the details of the typical acquisition case of Tesla's acquisition of Sun City. From the background of both companies, it mainly studies the main revenue mode and the main revenue source of the acquirer and the target company. Next, this paper will evaluate the benefits and disadvantages that the changes brought by the acquisition will bring to the company based on other acquisition cases. Then, this paper uses the SWOT model to analyze the motivation for Tesla's acquisition of SolarCity. After that, this paper will comprehensively evaluate the acquisition of Tesla from two perspectives. Finally, this article will synthesize all the above content of this acquisition to summarize.
Exploring the Implementation Pathways of "Singing Game" Activities in Lower Primary Music Education
Authors: Jia Yushu
Published: June 2024

The "singing game" activity holds a significant place in lower primary music classes. Its introduction can change traditional didactic teaching methods. However, some novice teachers lack a thorough understanding of the pedagogical philosophy behind the "singing game" activity. This paper, from the perspective of embodied cognition theory, analyzes the essence of the "singing game" activity and its four key characteristics - movement, play, performance, and creativity. It also examines the current status of these activities and proposes more detailed teaching methods, including rhythmic movement, gaming, role-playing, and group activities.
Analysis of the influence of mechanical vibration control strategy on structural safety
Authors: Li Yiheng
Published: June 2024

The vibration of rotating machinery has always been the focus of attention in the engineering field, because it directly affects the performance, life and safety of equipment. In this paper, the influence of vibration control strategy of rotating machinery on structural safety is deeply studied, aiming at providing scientific basis for optimizing vibration control scheme. It is found that the network identification accuracy of vibration signals of rotating machinery is above 96% under different vibration conditions by the vibration control method designed in this paper, which is higher than the traditional control method. Active vibration control strategy has high accuracy and real-time, but it challenges the cost and complexity of the system. Passive vibration control strategy is excellent in specific frequency vibration suppression, but there are some limitations in multimode vibration; Semi-active vibration control strategy has both active and passive advantages and strong adaptability, but it needs complex control algorithm. These efforts will provide useful reference for the development of vibration control field of rotating machinery and the safety improvement of engineering structures.
Application of Skip-bin Casting Method in Mass Concrete
Authors: Liu Wei
Published: June 2024

With the increasing scale of large-scale civil and industrial construction projects, the problem of controlling temperature cracks is of vital importance in order to ensure the integrity and durability of mass concrete foundation footings. This paper is based on an actual project of construction of a large volume concrete skip bin method, using Midas FEA NX to carry out finite element simulation of the construction process under the skip bin casting of the project, and study the temperature field derived from the simulation, and it is found that the temperature of this large volume concrete project is maximum at about 48h after the concrete casting, and the location is in the center of the concrete.
Talent Chain Empowerment and Organizational Competitiveness: A Case Study of Starbucks
Authors: Wang Yixiang
Published: June 2024

With the increasing competition in the global economy and the continuous changes in the business environment, it has become increasingly difficult for enterprises to maintain their competitive edge. Against this background, the importance of talent has gradually risen and has become one of the most important factors for companies to enhance their competitiveness. This study takes one of the world’s largest coffee chain brands, Starbucks, as an example to explore the impact of talent chains on organizational competitiveness. By deeply analyzing Starbucks’ talent chain operation mode as a successful case and its impact on the organization’s competitiveness, this study aims to elucidate the talent chain’s key mechanism in enhancing its competitiveness. By analyzing Starbucks’ employee recruitment, development, and retention processes, this study also aims to provide guidance and inspiration to other firms wishing to enhance their competitiveness. Examining the relationship between the talent chain and the competitiveness of competing organizations provides theoretical and practical importance in better understanding the link between human resource strategy and competitiveness and in gaining a competitive advantage for firms.
The Development of Gene Editing Technology and Controversial Issues: A Discussion
Authors: Wu Yirui
Published: June 2024

The fields of genetics and biomedicine stand to benefit greatly from the innovative technique known as gene editing technology, especially with the potential uses of CRISPR-Cas9.the creation of crops resistant to disease, the treatment of genetic illnesses, and the advancement of biomedical research in fields like sickle-cell anemia and rice gene editing are all made possible by CRISPR-Cas9's capacity to precisely pinpoint and edit specific genes. Despite being beneficial to humanity, the quick development of human gene editing technology has also brought up ethical, legal, societal, and technical issues. Its management, informed consent, privacy, and social equality are among the issues that require considerable attention.In an effort to give the scientific community something to think about, this article examines the state of gene editing today, its potential for the future, and the debates surrounding its application. It concentrates on the way the CRISPR/Cas system works, how CRISPER/Cas9 gene editing is used, and the range of problems it has brought up.
Research on cryptocurrency portfolio based on Markowitz model
Authors: Yi Yanmei
Published: June 2024

In recent years, the booming growth of the cryptocurrency market has garnered significant attention from a diverse range of investors with the overall market capitalization experiencing continuous expansion. This surge in popularity, however, is accompanied by challenges arising from the market's inherent high volatility and complexity. The increasing diversity of available assets presents investors with a complex landscape to navigate. The quest to build an optimal investment portfolio has become a focal point, particularly as market participants seek strategies that not only capitalize on the market's potential for substantial returns but also effectively manage the inherent risks. In this paper, nine cryptocurrencies have been chosen to construct the portfolios, which include BTC, Ether, Tether, Binance, ripple, USDC, ADA, DOGE and TRX. The data selected comprises the daily price of the above assets from November 1, 2020, to October 9, 2023. This paper presents a comprehensive framework for constructing and optimizing cryptocurrency investment portfolios, by employing the Markowitz model and Sharpe ratio analysis. We examined these nine selected digital currencies to determine the optimal investment allocation. Our findings suggest that the highest sharpe ratio is achieved when each investment cryptocurrencies (according to the order above) allocates 0, 0.003, 0.762, 0.038, 0.005, 0.172, 0, 0.014 and 0.007, respectively, to each cryptocurrency. And the lower risk portfolio is obtained when each cryptocurrencies accounted for 2.740e-20, 6.315e-20, 0.5, 0, 0.001, 0.499, 0, 1.419e-04 and 4.210e-20, respectively. This study contributes to the sustainable development of the cryptocurrency market by providing valuable insights for financial institutions, policymakers, and other stakeholders. However, limitations of this research come from the small number of selected digital currencies and the exclusion of risk-free assets such as government bonds. Future research should consider expanding the sample size and incorporating risk-free rates to enhance the applicability and reliability of investment strategies. In conclusion, this research offers investors a practical framework to navigate the complexities of the cryptocurrency market and optimize their investment decisions for long-term value appreciation.
Sharing for the Benefit of All
Authors: Ye Qiubai , Zhang Jiaming , Zhou Siqi , Yang Leyi , Wu Tongyu
Published: June 2024

From 2020 to the present, about 30 billion yuan of expired food is wasted in China every year. Against this background, this study proposes a two-pronged parallel food bank supply chain innovation program aimed at solving the problem of expired food waste. Offline, we work with merchants to collect and distribute expired food to the public free of charge, and online, we continuously update social media to popularize expired food and develop a small program that allows the public to communicate directly with merchants and make appointments to collect expired food. The project measured the impact of the program and the satisfaction of the public through questionnaires and interviews with the audience. Through the program, 93% of the sample surveyed changed their attitude towards expired food from negative to positive; 82% gained more knowledge about expired food; and 92% were very satisfied with the program. According to social media statistics, over 10,000 media views were recorded during the program, achieving a more successful online popularization effect. In the future, our project will continue to distribute and establish cooperation with more merchants, in order to protect the environment and sustainable development of the road steadily and far.
Effect of Modified Carbon Felt Anodes on the Performance of Microbial Fuel Cell
Authors: Sun Rui , Zhang Qianyong , Yin Zhirao , Zhao Cun
Published: June 2024

In this paper, phosphoric acid, nitric acid, zinc chloride, ammonia and melamine are used as cheaper activators to modify the carbon felt material, exploring the changes of various activation materials on the power production performance and degradation performance of the device after MFC carbon felt anode treatment, and finding that phosphoric acid-activated carbon felt has the highest output voltage and the best degradation effect on the ship's oily wastewater as a MFC anode device.
The balance among economic developments, environment protections, and equal access to resources during urban development
Authors: Shou Zhenlin
Published: June 2024

The speed of urban development is constantly increasing, and urban development will become an inevitable topic for a long time. In the process of urban development, this paper mainly discusses how people can protect the environment and ensure the equal access of urban residents to resources while ensuring urban economic development, including government intervention and citizens' awareness.  To further clarify, economy is the fundaments for many other developments like technology improvements. Thus, people have to ensure continuous and significant economic development while doing urban planning. However, on the other hand, environment is a key factor of the sustainability for economic development. Thus, during urban planning, it is necessary to have the combination of economic and environments, which leads to a sustainable development. Besides, city residences satisfaction is a key factor pushing the productivity which will affect the economics of a city, so people must ensure urban equality. Therefore, this article revolves around three key measurements economic, sustainability, and equality. The purpose of this paper is to explore and put forward suggestions on how to master the balance in the process of urban development, which is an unavoidable challenge urban planning must face in long term.
Research on purely azimuthal passive positioning of unmanned aerial vehicles based on geometric analysis and three-point intersection circle positioning
Authors: Wang Yixuan
Published: June 2024

With the development of UAV technology, this paper discusses the problem of the positioning model of UAVs passively receiving radio signals in UAV clusters. For the case of a circular formation, two possible point distributions are analysed, and the positioning model of UAVs passively receiving signals is established by geometric analysis. In the case where the positions of UAVs numbered FY00 and FY01 are known, the problem of determining how many UAVs need to transmit signals in order to effectively locate a certain UAV with a slightly deviated position is addressed. The paper goes on to prove that only one UAV of unknown number is required to transmit signals for effective localization by analyzing the structure of a positive nine-sided shape on a circle. The article establishes a model of the problem through geometric analysis and proposes a corresponding solution, which provides some theoretical support for the formation flight of UAV clusters.
The Process of Financialization in the Industrialized Economies: In the Perspective of the Credit-money System
Authors: Ma Hongtao , Cao Yuqing , Wan Jiayi
Published: June 2024

In this article, by analyzing relevant indicators of monetary finance in 20 highly industrialized countries from 1972-2022, we interpret the impact of their credit and monetary systems on the process of financialization of mature industrialized countries. Our findings suggest that in the aftermath of the 2008 global financial crisis, the core of what drives the financialization of national economies began to shift gradually from credit expansion provided by the national financial system to money supplied by the government. In response to this finding, the study further provides the following two in-depth explanations. Firstly, the financial system's requirement for capital accumulation, which is primarily reflected in the accumulation of money, has led to a tendency among mature industrialized nations to engage in financial speculation. This trend has significantly accelerated the expansion of domestic financial activities. Secondly, with the decoupling of money from precious metals and its transition to a government-backed credit system, governments have assumed corresponding responsibilities for social management. The currency pursued by the financial market is tied to both the government and the market due to its credit source, and the government supports unreasonable financial behavior in the market by injecting large amounts of currency. Therefore, if we fail to further regulate financial institutions and implement rescue measures to improve the interaction between the financial markets and the government, we may encounter greater financial risks in the future.
Synergistic Integration of Asynchronous FIFO and FIR Filters: A Novel Framework for Advanced Digital Signal Processing
Authors: Wang Chengtian
Published: June 2024

This study rigorously investigates the synergistic integration of Asynchronous FIFO (First-In, First-Out) with FIR (Finite Impulse Response) filters, proposing an advanced framework for digital signal processing. It commences by elucidating the cardinal significance of Asynchronous FIFO and FIR filters within the modern landscape of digital signal processing. The architecture of the Asynchronous FIFO is given primacy, emphasizing its avant-garde address management facilitated by the incorporation of a "toggle" register in the empty module. Additionally, the manuscript offers a comprehensive analysis of assorted methodologies for embedding FIR filters into the Asynchronous FIFO. The preferred method involves the infusion of DSP algorithms into the FIFO for precise simulation and modeling. A salient feature of this research is the introduction of a novel technique that utilizes a moving average filter algorithm to refine data granularity. In conclusion, the research accentuates the expansive applicability of this amalgamated methodology, with potential usages in realms such as audio refinement, video noise diminution, and biomedical signal processing, underscoring its pivotal role across varied sectors of digital signal processing.
Strategies Responding to the Uncertainties in the Hollywood Film Industry—A Case Study of Movie “Jurassic World (2015)”
Authors: Chen Yixuan
Published: June 2024

The Hollywood film industry is renowned for its blockbuster successes and devastating failures, characterized by highly variable uncertainty. The uncertainty inherent in this industry stems from various sources, including unpredictable audience tastes, rapidly evolving technology, and dynamic market conditions. This paper explores the impacts of product line uncertainty from the perspective of environmental state uncertainty, organizational effect uncertainty, and decision response uncertainty, similarly applied in the Hollywood film studio. Despite these challenges, some films manage to not only survive but also thrive in this highly competitive environment. This paper examines the strategies employed by Universal Pictures during the production and release of the movie “Jurassic World”, a groundbreaking film directed by Colin Trevorrow. By conducting a detailed case study of “Jurassic World”, this study aims to shed light on the strategies that enabled the film to respond effectively to uncertainties in the Hollywood film industry.
Louse in the Hay Market: The relationship between the Urban Space and the Consciousness of "Man" in Crime and Punishment
Authors: Fu Yifei
Published: June 2024

In literary works, the construction of urban space serves as both a canvas for the subjective perceptions of the novelist towards society and a mirror reflecting the objective social order of a particular era. Within Fyodor Dostoevsky's Crime and Punishment, the city of St. Petersburg in the 19th century emerges as a central backdrop, with the bustling Hay Market serving as a focal point. Dostoevsky adeptly captures the city's darkness and oppressive atmosphere, presenting it as a microcosm of societal complexities. This essay delves into the lives of St. Petersburg's lower-class denizens as depicted in the novel, using Dostoevsky's portrayal of the city's "dark panorama" to examine its broader implications. Rather than merely serving as a backdrop, the city becomes a reflection of human consciousness, encapsulating the author's nuanced understanding of social dynamics and psychological intricacies. Through an analysis of urban space in Crime and Punishment, this paper aims to elucidate Dostoevsky's exploration of the interconnectedness between societal structures and individual psyches.
Research on Machine Learning-based Prediction of Coffee Futures Prices
Authors: Chen Yuduo
Published: June 2024

Coffee is one of the major agricultural commodities in world trade, and its futures are vital tools in the global capital market. The continued vitality of the coffee market and substantial price fluctuations have increased hedging demands among market participants. Consequently, predicting future price trends of coffee futures to yield excess returns has become a focal point in the field of quantitative investment. Machine learning methods are increasingly being applied in the field of quantitative investment due to their performance advantages in complex data classification and regression. This paper analyzes the current state of the coffee futures market and the factors influencing its prices. In this study, five market indicators and one technical indicator, the bias rate, were selected as inputs. The closing price for the subsequent day, along with short-term (50 days) and long-term (200 days) price trends, were forecasted using two machine learning techniques: the linear regression model and the random forest model. The results demonstrated that, of the two predictive models utilized in this study, the random forest model performed better concerning regression prediction evaluation indices. When predicting short-term (50-day) price trends, the linear regression model exhibited superior performance. However, both models revealed significant errors in predicting long-term (200-day) price trends.
Analysis of energy consumption structure in China, the United States and Germany based on forecasting models
Authors: Fu Yifan , Fan Xiaoxue
Published: June 2024

This study analyzes and models the energy consumption structure of China, the United States and Germany, and reveals the characteristics, trends and influencing factors of energy consumption by comparing the energy consumption of different countries. The grey GM(1,1), ARIMA, LSTM and GLVM models are used to model and forecast energy consumption, and the model results are evaluated. It is found that there are significant differences in the structure, transformation speed and influencing factors of energy consumption in different countries, which has important implications for formulating energy policies and promoting sustainable development.
Quantifying the Impact of the COVID-19 Pandemic on Housing Prices in Los Angeles using Time Series Analysis
Authors: Zhang Churan
Published: June 2024

The real estate market is an indispensable part of both the national economy and the financial system. For households, housing is one of the most important consumer commodities, and a family’s finances and expenses are bound to be significantly influenced. For a country, the housing market majorly affects the growth of the GDP, so even a small fluctuation in the real estate market can lead to a subsequent impact on the economy as a whole. Therefore, it is worthwhile to take housing price forecasts into consideration. In addition, with the outbreak of COVID-19, the impact this pandemic brings to the real estate market needs to be analyzed. As a result, this research focuses on making a forecast of housing prices in Los Angeles by applying the ARIMA model and then quantifying how the COVID-19 affects housing values using time series analysis. In that case, policymakers can make more informed regulations on the real estate market, making citizens' lives easier than before.
Correlation between Earnings Management Behavior and Corporate Performance Based on ESG Rating
Authors: Yuan Mengxin
Published: June 2024

The purpose of this study is to deeply explore how ESG (Environmental, Social and Governance) rating affects the earnings management behavior of enterprises, and further analyze the impact of this behavior on corporate performance. By constructing theoretical framework and research hypothesis, this paper makes an empirical analysis of the correlation between ESG rating, earnings management and corporate performance by using multiple linear regression model. The results show that enterprises with high ESG rating often show more standardized earnings management behavior, which has a significant positive impact on corporate performance. This discovery provides a new idea for enterprises to improve their performance, and also provides an important reference for investors to evaluate the value of enterprises. This study not only enriches the theoretical system of the relationship between ESG rating and earnings management, but also provides useful guidance for enterprise management practice and investment decision.
Innovative Application of Traditional Chinese Opera Elements in Modern Dramatic Costume Design
Authors: Han Jingjing , Hamid Hushinaidi Bin
Published: June 2024

In the field of drama, especially in clothing design, designers are actively exploring how to combine traditional opera elements with modern drama to create clothing images that are both rich in traditional charm and in line with contemporary audience aesthetics. This innovation not only inherits traditional culture, but also challenges and extends modern aesthetics. Traditional Chinese opera elements, as an important component of Chinese culture, provide rich inspiration and materials for modern drama costume design with their unique symbolic meanings and aesthetic characteristics. The article conducts research on the innovative application of traditional Chinese opera elements in modern theatrical costume design, in order to enrich theatrical images and provide new paths and possibilities for the dissemination and inheritance of traditional culture in contemporary society.
The Impact of RCEP Tariff Concessions on Intra-Regional Trade: An Analysis of Trade Creation and Diversion
Authors: Wei Keyu
Published: June 2024

This study delves into the economic ramifications of the Regional Comprehensive Economic Partnership (RCEP), particularly focusing on its tariff concessions and their influence on intra-regional trade dynamics within the Asia-Pacific region. By encompassing 15 East Asian and Pacific nations, RCEP stands as the world's largest trading bloc, accounting for approximately 30% of the global Gross Domestic Product (GDP). This research aims to dissect the core objectives of RCEP, emphasizing the significant tariff concessions that aim to eliminate up to 90% of the tariffs within the bloc over a stipulated timeline. Through a comprehensive analysis, this paper explores the dual phenomena of trade creation and trade diversion as intrinsic outcomes of RCEP's tariff concessions. Initial findings project an increase in intraregional exports by nearly 2%, translating to an augmentation of approximately US$42 billion. This surge in trade volume is attributed to the lowered costs of goods due to reduced tariffs, fostering economic growth and integration of regional markets. However, the study also highlights the nuanced impacts of trade diversion, where trade shifts from more efficient external sources to less efficient member states, induced by preferential treatment within the bloc. Furthermore, the paper navigates through the challenges and opportunities presented by RCEP, including the harmonization of trade policies and regulatory standards across diverse economic landscapes. The research underscores the strategic implications for RCEP member countries, advocating for a multifaceted approach to leverage the benefits of the agreement while mitigating potential downsides. This study contributes to the broader discourse on regional economic cooperation and integration, offering insights into the complex interplay between trade policies and regional dynamics in the Asia-Pacific.
Study on the Impact and Mechanism of the Quality of Host Country Institutions on China's OFDI
Authors: Wang Yaxin , Liu Lihui , Bao Huirong , Wen Cuiyu
Published: June 2024

In recent years, the scale of China's Outward foreign direct investment (OFDI) has grown rapidly, but with the increasingly complex and changeable international environment, China's OFDI is facing great pressure. Taking 159 countries as samples, this paper selects 10 secondary indicators from the three dimensions of politics, economy, and law to construct the evaluation system of host country institutional quality, and measures the host country institutional quality from 2011 to 2021, studies the influence of host country institutional quality on China's OFDI and the intermediary mechanism, and conducts heterogeneity test. The conclusion shows that the improvement of host country's institutional quality significantly promotes the inflow of China's OFDI, and at the same time, the improvement of host country's institutional quality can improve the country's scientific and technological innovation ability and infrastructure construction level, and ultimately promote the increase of China's OFDI. This promoting effect is more obvious in low-middle-income countries and countries that have signed the Belt and Road agreements. Finally, suggestions are put forward based on the conclusions.
Critical Infrastructures at Risk Addressing Information Security in Power Systems
Authors: Temeglio Temia , Gei Ram
Published: June 2024

According to the power system network security risks and problems, this paper presents the work of information security and the general principles of information security from a technical and safety management put forward the idea of addressing security issues and methods of analysis of local area network security management related to issues, and according to their own experience of a relatively effective way of thinking.
Introduction of Three Different Orientations of Nanoparticle-Conjugated Therapeutic Strategies in a Case of Triple-Negative Breast Cancer
Authors: Zhong Jing
Published: June 2024

Triple-negative breast cancer (TNBC) is a highly aggressive subtype of breast cancer with negative expression of estrogen receptors, progesterone receptors, and human epidermal growth factor receptor 2 (HER2). Albeit chemotherapy is the main treatment for TNBC patients, the efficacy is still limited, so there is pressing to search more effective treatments. Based on the expression of specific molecules and signaling pathways in TNBC, a variety of targeted treatment strategy has emerged. In the initial targeted therapy, the administration of monoclonal antibodies has (Mabs) problems such as poor efficacy, and the combination with chemotherapy drugs has problems such as short cycle half-life, and the emergence of nanotechnology in biomedicine provides new probabilities to address these constrains. Therefore, so far, a variety of nanoparticles (NPs)-conjugated therapy strategies have emerged. In this review, it is attempted to follow the development of nanotechnology in targeted therapy by addressing some limitations accordingly, with the introduction of three NPs-conjugated therapy strategies as examples. At the same time, it also aims to provide a reference for the subsequent development of nanotechnology combined targeted therapy.
Advances in the Study of PDE4 Inhibitors in Dermatological Disorders
Authors: Jiang Wei , Wang Xueyong , Li Shan , Li Nan , Li Zhongwei , Xu Zhiguo
Published: June 2024

Since the 1980s, phosphodiesterase 4 (PDE-4) has been one of the most prominent targets for the treatment of inflammatory diseases. More recently, a number of synthetic ligands targeting PDE-4 have received more attention in the academic and pharmaceutical communities and are expected to have applications in these diseases. Due to various potential side effects of PDE-4 inhibitors, there are several obstacles to the clinical translation of specific PDE-4 inhibitors from the preclinical to the clinical phase. Therefore, similar to roflumilast in chronic obstructive pulmonary disease, many PDE-4 inhibitors can take up to 30 years or even longer from development to clinical application. This article is a review of the development of PDE-4 inhibitors, such as crisaborole and apremilast, for use in skin disorders.
Research on the Application of Network Technology in Computer Aided Education
Authors: Zhang Qinyong , Song Chaotian , Xu Yue , Liu Sen
Published: June 2024

As a new technical means, computer network technology should be reasonably applied in modern teaching. Educators should constantly sum up their experience in teaching practice, explore various new forms of computer network-assisted education so that it can be perfectly combined with computer teaching and achieve a flexible and innovative education mode, so as to cultivate more computer professionals for society.
Problems and Countermeasures in the Development of Shanbei Folk Songs
Authors: Gao Yu
Published: June 2024

The purpose of this paper is to study the problems of Shanbei Folk Songs and put forward corresponding countermeasures and suggestions according to the problems. It is found that there are certain dilemmas in its creation, singing and inheritance. In order to solve these problems, this paper puts forward suggestions to strengthen the education and popularisation of Shanbei Folk Songs, innovation and development, and the construction of dissemination platforms, with a view to providing references for the prosperous development of Shanbei Folk Songs.
An Exhaustive Analysis of Reinforcement Learning Implementations within Recommendation System Paradigms
Authors: Ni Shiyun
Published: June 2024

This manuscript begins with a detailed exploration of reinforcement learning, presenting a thorough analysis of its core models and algorithms. It contrasts these with traditional machine learning approaches, providing a nuanced comparative study. Following this, the paper dives into the origins and development of recommendation systems. It methodically classifies and explains the unique features of various prevalent recommendation algorithms. The focus of this research is the innovative integration of reinforcement learning in recommendation systems. It carefully examines how reinforcement learning can be merged with these systems, highlighting current challenges and outlining potential directions for future research, supported by empirical examples from practical applications. This comprehensive approach offers a deep insight into the interplay between advanced machine learning techniques and their application in improving recommendation systems. The manuscript aims to contribute significantly to the field by not only elucidating the theoretical underpinnings of these technologies but also by demonstrating their real-world efficacy and potential. Through this, it seeks to pave the way for more sophisticated, efficient, and personalized recommendation systems, driven by the latest advancements in machine learning.
Measurement of the Internationalization Function Development Level of the Guangdong-Hong Kong-Macao Greater Bay Area
Authors: Guo Yafang , Chen Yuehuan , Liu Jingxian , Zhang Shuaibing
Published: June 2024

Cities are the carriers of internationalization function development, and internationalization function is the core support for constructing international bay urban areas and world-class city clusters. This study measures the development level of internationalization functions in the Guangdong-Hong Kong-Macao Greater Bay Area using the Entropy-TOPSIS method. The results show that: (1) the importance ranking of internationalization function development level evaluation indicators is as follows: number of libraries > number of universities > airport throughput > number of inbound tourists > number of star-rated hotels > volume of foreign trade > GDP > port cargo throughput > number of museums; (2) the balance of the internationalization function development level in the Guangdong-Hong Kong-Macao Greater Bay Area is not high. Regions with middle to high levels of development center around Guangzhou, Shenzhen, Hong Kong, and Macao, while the internationalization development level of peripheral areas is relatively low.
Predict the Inflation of Food Prices based on the Linear Regression Models
Authors: Chen Xuanmo
Published: June 2024

Using the large "Global Food Price Inflation" dataset from Kaggle, this paper provides a thorough analysis of food price inflation in Cameroon. In the framework of Cameroon's dynamic economy, the research focuses on comprehending the complex financial indicators and their relationship to trends in food prices between 2015 and 2017. The study addresses the crucial role that agriculture plays in Cameroon's economy by using both polynomial and linear regression models to analyze and forecast food inflation rates. Because of its simple methodology, the linear regression model works better for making short-term predictions because it can capture the main inflation rate trend without getting bogged down in the details of capturing small variations in the data. Conversely, polynomial regression tends to overfit in this situation even though it is skilled at simulating non-linear relationships. The study's conclusions emphasize how crucial it is to select the right model for economic forecasting and stress the value of clarity and simplicity in identifying key economic trends, particularly in short-term scenarios. This research adds significant knowledge to the field of economic analysis and forecasting methodology; it is especially pertinent to policymakers, economists, and researchers who specialize in developing economies.
On the Implications of the Improvement of Emotional Expression Skills for the Cultivation of Language Literacy of Undergraduate Secretarial Students: Based on the Perspective of Docent Training in University History Museums
Authors: Ye Jing
Published: June 2024

Language literacy plays an indispensable role in coordinating interpersonal relationships, improving work efficiency, and playing the function of staff support in secretarial work, and is an important part of the secretary's comprehensive professional literacy. However, there are still many problems that need to be solved in the cultivation of language literacy of undergraduate secretarial students, such as insufficient cognition of students' cultivation and incomplete construction of disciplines. We analyze the cultivation status quo of language literacy training for undergraduate secretarial students, draw on the experience of cultivating the emotional expression ability of college and university history hall lecturers, and discuss the strategies for improving the language literacy of undergraduate secretarial students at this stage, so as to promote the improvement of the comprehensive competence literacy of undergraduate secretarial students, and then better improve the students' occupational competitiveness.
Numerical Study on Hydrodynamic Characteristics of Two Ships Advancing in Parallel for Underway Replenishment of Luxury Cruise Ships
Authors: Guo Mengmeng
Published: June 2024

For a long time, seakeeping data has been the basis for judging ship amenities and seaworthiness. Luxury cruise ships, as large passenger ships, put forward higher requirements for seakeeping. To analyze the seakeeping response of luxury cruise ships, AQWA is used to build a model and conduct numerical simulations. The hydrodynamic characteristics of cruise ships and replenishment tankers with different typical sea conditions, various ship spacing and wave directions are studied. According to the results, when two ships are advancing in parallel, the cruise ship should pay attention to the movement of the replenishment tanker while considering its seakeeping to avoid collision danger. The conclusions can avoid dangerous situations in the replenishment and improve the safety of the replenishment operation.
The Enlightenment that Archegos Defaults Event to Our Country Finance Supervises
Authors: Zeng Yuxin
Published: June 2024

At the end of March 2021, the default of Archegos, an American hedge fund, led to a total loss of more than 10 billion dollars for a number of investment banks, which exposed the absence of supervision in the United States financial regulators. Based on the publicly disclosed information in the market, this paper analyzes the main process and key links of the incident in detail, summarizes and summarizes the defects and problems in the supervision of family office as a financial subject and derivatives trading in the United States, and puts forward opinions and suggestions on the supervision of family office and derivatives for financial institutions and regulatory departments in China.
Evaluation of Recreational Facilities in Guandu section of Baoxiang River Basin Under the Background of Big Data: Based on POI
Authors: Wu Xinjie , Wu Huanghua
Published: June 2024

As the most important place for residents' daily leisure, the planning, layout and service level of urban recreational facilities are closely related to the quality of urban life. Taking national leisure as the benchmark and big data as the background, through the integration of POI data, vector building contour data and OSM road system data, combined with field survey, Tyson polygon is introduced to partition the urban recreational facilities in Guandu section of Baoxiang River Basin, build the urban recreational facilities system, and carry out the evaluation dimension from three aspects: quality, accessibility and coverage of urban recreational facilities, According to the main problems existing in this area, optimization suggestions are put forward, including improving the type of recreational facilities, adding the number of recreational facilities, paying attention to the fairness of recreational facilities and so on. This study has some limitations in the research scope, service scope and service population, but in view of the complex construction of the research scope, rich cultural types and certain representativeness, it can provide some reference for the evaluation and optimization of recreational facilities in similar regions.
Study on Reinforcing Anchor Cable Support in Overreach Section of Deep Roadway
Authors: Wang Binbin , Wang Xinchen
Published: June 2024

With the increasing depth of coal mining, the conditions of deep working face are becoming more and more complex, the stability of surrounding rock of roadway is getting worse and worse, and the problem of deep roadway support is becoming more and more prominent. In this paper, the 24100 working face of Pingdingshan No.11 Coal Mine is taken as the engineering background. In view of the problems of roof crushing and deformation and more net pockets in the return airway affected by the mining of the working face, the grouting anchor cable reinforcement and support technology in the advance section of the deep mining roadway is proposed, and the feasibility of the support effect is verified by numerical simulation. The results show that the influence range of the advance abutment pressure of the air roadway is about 60 m, and the reinforcement support strength required for the roof of the roadway is 50.6 kN/m2. The grouting anchor cable reinforcement support technology system of the return air roadway can control the deformation of the surrounding rock of the roadway and achieve safe and efficient mining.