bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing Supply Chain Defect Detection through Cross-Domain Generalization: A Deep Learning Approach
Authors: Yli Sujin , Choi Deokyoon
Published: July 2024

Ensuring quality control in the supply chain is paramount for maintaining product integrity and customer satisfaction. However, the scarcity of defect-specific data poses significant challenges for effective defect detection using traditional machine learning models. This paper introduces a novel Cross-Domain Generalization (CDG) methodology that integrates Cross-domain Augmentation, Multi-task Learning, and Iteration Learning to address data limitations and improve defect detection accuracy. Leveraging datasets from related domains, our approach enhances model generalization and robustness. Experimental results demonstrate substantial performance improvements over baseline methods, highlighting the potential of CDG in various industrial applications. The proposed methodology offers a scalable solution for supply chain quality control, enabling more reliable and efficient defect detection.
Exploring the Role and Development of Urban Planning for Urban Space: The Case of Adelaide
Authors: Sun Mingyue
Published: July 2024

With the economy's vigorous development, at the same time, people's quality and demand for living space is more and more high, so the planning and construction of urban space is a hot topic in recent years. The basis for the change of urban space is urban planning, which is mainly the planning and design of space planning, road traffic planning, green vegetation, and water planning. This paper focuses on the characteristics of urban road planning and green vegetation in the city of Adelaide. Adelaide is known for its sustainability and livability and has been at the forefront of Australia, especially in terms of urban greening and transport road network. Through the research and discussion, it is concluded that good road planning can improve the overall convenience of urban commuting and the utilisation of urban space, as well as better planning for pedestrian traffic and the configuration of the living area; the setting of green space is also an indispensable part of people's lives, and the construction of good green space affects human health and the livability of the city, and the green vegetation not only beautifies the city, improves people's green vegetation not only beautifies the city, improves people's living space and enhances the well-being of the community, but also improves the air quality and regulates the temperature of the local city. Adelaide is renowned for its sustainability and livability and has been at the forefront of Australia's greening and transport road network in particular.
Virtual Ambiguity: The Relationship Between Leftover Men and Leftover Women and Social Platforms
Authors: Yu Mi
Published: July 2024

The issue of leftover men and leftover women is an important issue that has attracted much attention in contemporary Chinese society. This article aims to explore the impact and challenges of social media on the issue of leftover men and leftover women. First, by analyzing the causes and social impact of the phenomenon of leftover men and leftover women, it reveals the conflict between traditional concepts and modern lifestyles, as well as the marital pressure and psychological dilemma faced by leftover men and leftover women. Secondly, this article explores the role of social media in the problem of left-over men and left-over women, including the positive effects of social media platforms on changing social patterns, promoting making friends and expanding social circles, as well as possible negative effects such as hindering emotional connections and avatars. Finally, the article puts forward some suggestions, emphasizing the healthy use of social media and encouraging all sectors of society to work together to alleviate the challenges caused by the problem of leftover men and leftover women. This research can provide new perspectives and strategies for understanding and solving the problem of leftover men and leftover women, and promote the harmonious development and progress of society.
Publish or Perish? An Analysis of the Internal Mechanism Driving Academic Productivity of Graduate Students
Authors: Zhang Weiqiang
Published: July 2024

The publication of graduate students' academic papers is the externalized result of the embodiment and expression of graduate students' research productivity and academic ability, and the driving mechanism of graduate students' academic productivity has been distorted in the reality of the academic evaluation system that emphasizes too much on the publication of papers. Therefore, it is necessary to make clear the dilemmas of the three aspects of the demand side, the process side, and the supply side of the production of knowledge, academic creation and publication of papers, so as to truly optimize the development of the graduate students' academic productivity through the reform and optimization of academic evaluation. Evaluation, strengthening innovation and quality leadership and building new-quality productivity mechanisms to effectively drive the endogenous and high-quality development of graduate students' academic productivity.
Research on Property Insurance Profit Forecasting Model and Response Strategy under Extreme Weather
Authors: Han Rui , Shi Junhao , Liu Zhuye , Niu Dandan
Published: July 2024

In this paper, we propose and design an insurance profit prediction model that effectively handles complex coupled variables to address the issues related to the volatility of the property insurance industry due to the frequent occurrence of extreme weather worldwide and the strong demand of insurance companies for the prediction of insurance profits in the future. Considering the adaptability of the model as well as its relocatability, we comprehensively consider the impacts of various factors on the insurance industry, such as extreme weather, geographic location, insurance market, and national development, and use them as indicators to build an insurance profit prediction model. We quantified and averaged the multivariate influences in the insurance forecasting model and solved the complex coupling variables in the model. We conducted a sensitivity analysis of the model to determine that the model has good robustness, and used this analysis to obtain a strong correlation between the ideal profit margin of the regional insurance industry and the regional insurance profit return, i.e., the ideal insurance profit margin of the regional insurance industry is a key factor affecting the total profit. Meanwhile, the model prediction results obtained by adjusting the model parameters show that under certain conditions, the regional insurance industry can obtain lower or loss profits in the short term, but is profitable in the long term. This study provides a useful reference for the property insurance industry and helps insurers to better predict profits, formulate strategies, and provide effective safeguards for property owners to meet the challenges posed by extreme weather events.
Accounting of Ecosystem Service Value in Chengdu-Chongqing Double Circle
Authors: Guo Xiaoqing , Huang Huan
Published: July 2024

With the rapid development of urbanization and the rapid progress of economy and society, high-intensity development and utilization activities have brought frequent disturbances to natural ecosystems, seriously weakened the supply capacity of ecosystem services such as climate regulation, hydrology regulation, soil conservation and biodiversity maintenance, and thus posed no small threat to regional ecological security and sustainable development. Chengdu-Chongqing Economic Circle plays an important role in promoting the construction of the Yangtze River Economic Belt and consolidating the ecological barrier in the upper reaches of the Yangtze River. However, the advancement of industrialization and urbanization has also led to the shrinkage of natural ecological space and degradation of ecosystem service functions in this region to a certain extent. Therefore, it is particularly urgent to conduct in-depth research on ecosystem services. Therefore, this paper takes the Chengdu-Chongqing Economic Circle as the research object, and uses the equivalent factor method to calculate the ecosystem service value of different land types and different service types in 2005, 2010, 2015 and 2020. The results showed as follows: 1) Cultivated land and forest land were the main land types in Chengdu-Chongqing urban agglomeration. 2) From the perspective of ecosystem service value contribution of different land types, the ranking order is: forest land > cultivated land > water area > grassland > unused land. 3) From the perspective of the value of ecosystem services at each level, the regulation services > support services > production services > cultural services.
Research On the Application of Intelligent Technology in Mining Safety Monitoring
Authors: Zhang Wenhui
Published: July 2024

Safe mining of mineral resources is of great practical significance to energy supply, industrial production and social and economic development. With the development of science and technology, mining innovation is the necessary measure and development trend to solve the safety problem. In order to reduce the occurrence of risks, the intelligent mining platform is used to improve the production safety factor of mining. Based on the integration of modern information technology and mining safety, this paper mainly analyzes the application of intelligent mining safety risk technology in the background of intelligent mine construction. The research results show that: based on building information model (BIM), Internet of Things (IOT) and artificial intelligence technology, intelligent identification, tracking and positioning, monitoring, remote control, establishment of emergency rescue model to assist decision-making, disaster warning and other functions are realized. The application of intelligent technology in mining safety monitoring has greatly improved the level of mining safety information and intelligence.
Advancement Of Gene Therapy in Blood Diseases Treatment Based On CRISPR/Cas System
Authors: Yue Hualiang
Published: July 2024

Blood-related diseases are characterized as physiological disorders that affect the blood’s functions, affecting tens of millions of people’s lives every year. Serious blood disorders can be life threatening and bring patients both great physical and mental pain. Gene therapy has the potential to significantly intervene in disease from the standpoint of genetic material, resulting in a more beneficial therapeutic outcome. CRISPR/Cas system, as the third gene-editing technology, has become a powerful tool for gene editing. This review provided a brief summary of the current advancements, together with advantages, challenges of CRISPR/Cas system, and discussed future prospects of utilizing CRISPR/Cas system for genetic therapy in blood diseases.
The Practical Significance of Yan Fu's Thought on the Cultivation of New People's Virtue in the Era
Authors: Lin Shuilong
Published: July 2024

Yan Fu is one of the advanced figures in modern China's exploration of saving the nation and striving for survival, and his translated works have spread many advanced Western ideas. Among them, his "New People's Moral Thought" combined the domestic and international background at that time, criticized the feudal traditional moral culture, demanded the establishment of new people's morality based on freedom and equality, and then established public morality and popularized new people's morality. This series of ideas opened up the development direction of modern Chinese national quality. In the pursuit of national rejuvenation in the new era, cultivating new talents as a key task has been put on the agenda of socialist spiritual civilization construction. There is a strong inherent correlation between the cultivation of new era talents and Yan Fu's "New People's Moral Thought". Exploring Yan Fu's "New People's Moral Thought" still has important practical significance for the logical generation and path inspiration of the cultivation of new era talents.
A comparative study of the two English versions of the Analects from the perspective of the Reception Aesthetics
Authors: Jiang Xueqian
Published: July 2024

"The Analects," as a compilation of the words and deeds of Confucius and his disciples during the Spring and Autumn Period, stands as one of the classic works of the Confucian school of thought. This work is not only one of China's "four Books", but also occupies an important position in the global culture. The popularity of its numerous English translations reflects its profound influence worldwide. Based on the theory of Reception Aesthetics, this paper analyzes how the English translations by James Legge and Xu Yuanchong meet the expectations of readers in different cultural backgrounds. Furthermore, it points out that translation practices grounded in Reception Aesthetics not only enrich the expressive forms of literary works but also provide new perspectives for promoting cross-cultural communication and understanding.
The Applications of Machine Learning Algorithms to the Field of Medical Diagnosis
Authors: Yin Zihan
Published: July 2024

With a large population base, the medical needs are also very large. Patients need a lot, and doctors have a big workload. In this case, the pressure of doctors increases accordingly. The competence and clinical experience of the doctor are at the heart of medical diagnosis. Accumulating experience requires massive practice and literature reading and comprehension. With the development of computer science and the deep study of machine learning theory, machines are gradually involved in the process of medical diagnosis. The application of machine learning algorithms has opened up a path for medical diagnosis, which can assist doctors to improve the efficiency of diagnosis and treatment. The main content of this paper is the main problems and their related machine learning algorithms, the challenges and future development.
How does intelligent investment impact the conservation of enterprise resources
Authors: Kou Xinrui , He Jiayu
Published: July 2024

The rapid growth of technologies such as big data and AI has made intelligent investment increasingly popular across different sectors. This trend supports the creation of modern industrial systems and the rise of new, high-quality productivity, making intelligent investment crucial for industries to achieve high-quality structural changes and adopt eco-friendly practices. This study delves into the impact of intelligent investment initiatives on resource conservation, utilizing data from China's A-share listed companies between 2007 and 2022. It explores how these activities influence resource-saving measures within companies and examines the role of financing constraints and the potential for variability across different contexts. Findings reveal that intelligent investments significantly bolster a company's resource efficiency. However, it's noted that financial constraints can dampen the positive outcomes of such investments, limiting their effectiveness in promoting resource conservation. Interestingly, the beneficial effects of intelligent investments are not uniform; they are particularly pronounced in industries with high pollution levels and among smaller enterprises. Drawing from these insights, the paper offers strategic recommendations at the enterprise, industry, and policy levels. These suggestions aim to enhance the adoption of intelligent investment strategies, encourage sustainable practices among businesses, and foster the development of resource-efficient enterprises.
Evaluating The Effectiveness of The Llama2 Large Language Model in Analyzing Economic Texts: A Comparative Analysis Using Diverse Data Sources
Authors: Han Zhengqi
Published: July 2024

This study investigates the effectiveness of the open-source llama2 large language model in analyzing various types of economic texts. We employ a comparative analysis approach, utilizing data from four diverse sources: Federal Reserve Economic Data (FRED), Edgar (EDGAR) Database from the U.S. Securities and Exchange Commission (SEC), International Monetary Fund (IMF) Data, and World Bank Open Data. We focus on the performance of llama2 for specific tasks like sentiment analysis, entity recognition, and topic modeling. The findings will contribute to understanding the potential and limitations of using large language models for extracting insights from diverse economic data sources.
Has The Application of Artificial Intelligence Expanded the Internal Income Gap Within Enterprises?
Authors: Zhang Jianjia
Published: July 2024

This study explores the impact of artificial intelligence (AI) technology application on the internal wage gap within enterprises and the moderating role of employee scale. Using panel data from Chinese A-share listed companies from 2011 to 2022 and an AI application level index constructed through text mining methods, this paper analyzes through a fixed effects model and finds that the application of AI technology significantly increases the wage gap between management and ordinary employees, especially in non-state-owned enterprises, non-manufacturing, and high-tech industries. However, the effect of this wage gap increase is relatively weaker in large enterprises, indicating that company size can mitigate the impact of AI technology to a certain extent. This finding contributes to a deeper understanding of how technological progress shapes the internal wage structure of enterprises and is significant for enterprises and governments to formulate fair wage policies, providing new strategies to promote internal wage equality within enterprises.
Inner Connection Between Gut Microbes and Acne
Authors: Liu Jijie
Published: July 2024

Acne is a common skin disease, which is associated with reduced diversity of intestine flora, intestine flora imbalance, and host-intestine co-metabolite differences. The occurrence of acne is related to microorganisms such as Propionibacterium acnes, while the role of intestine flora imbalance and immune system regulatory cells and molecules are also involved. Although the relevant mechanisms are not fully understood, intestine flora plays a role in the occurrence of acne. Therefore, regulating intestine flora can improve digestive system health, enhance immune system, reduce disease risk, and other health-care effects. Intestine flora is the largest microbial environment in the human body, and its microbial ecological balance is crucial for health and immunity. intestine flora imbalance may lead to changes in the composition of the flora, promote the growth of harmful bacteria, produce metabolites and inflammatory factors, and play a role in the occurrence of acne. This article analyzes the intrinsic link between gut flora and acne and finds that microbial ecological balance is essential for health and immunity. An imbalance in the gut flora may lead to changes in the composition of the flora, promoting the growth of harmful bacteria and the production of metabolites and inflammatory factors that play a role in the development of acne. Based on the comparison of recent treatments and modulation methods, this paper suggests that human microecology can be further improved by traditional Chinese medicine thereby alleviating the symptoms of patients and providing a reference point for future research.
Comparative Analysis of Three Consumer Staples Companies
Authors: Lu Zhou
Published: July 2024

With the financial risk like Fed rate hike, the fluctuation of gold price and so on, systematic risk of the global economy keeps increasing. Assets which are stable while still profitable will become popular with high possibility, and consumer staples is a sector with these properties. This paper analyses three stocks of consumer staples: Monster Beverage Corporation (MNST), The Coca-Cola Company (KO), and Nestlé S.A. (NSRGY). The analysis focuses on their risk, profitability, and market ratios to finally conclude the strategies that different types of investments should choose when investing on these stocks. Analysis on risk reveals that three companies have beta less than 1 and larger companies have lower beta. Analysis on profitability reveals that three companies are profitable and smaller companies are more profitable. Based on market ratios, these companies are not in low price. Finally, this paper analyses the asset selection for investors and the results show that these three companies are of good quality for income, ratio, and index investors, but not for value, PEG, and DCF investors, and momentum investors may invest on Monster Beverage Corporation, but not on other two companies. This article may help decide what sections to invest and how to choose between companies in the same section.
Piano Enlightenment Education within Piaget's Theory of Children’s Cognitive Development
Authors: Li Zhuying
Published: July 2024

Since the 1990s, the rapid development of the Internet promoted the daily life in China, especially the education system. The COVID-19 pandemic has presented challenges as well as opportunities for music education. Teachers and students need to explore new methods to address the situation. This study focuses on enlightenment piano teaching, especially young children. Based on Piaget's theory of cognitive development, several teaching methods for early childhood piano instruction will be proposed in this article to help more piano teachers understand the age characteristics of pre-school children and to better assist piano instruction. In offline piano lessons, teachers may start lessons with their fingers on the keyboard and text materials. In online piano lessons, teachers can utilize various types of media for teaching. In the near future, online education could prove to be more effective. This study aims to analyze the advantages and disadvantages, and provide effective guidelines for online piano education.
Challenges and Future Paths for China's New Energy Vehicles under New Quality Productivity
Authors: Tang Lisha , Liu Ping
Published: July 2024

As the concrete embodiment of advanced productivity, new quality productivity is the fundamental result of the breakthrough of cross integration of scientific and technological innovation, and it is the development path of productivity in which innovation plays a leading role and gets rid of the traditional mode of economic growth with high-tech, high-efficiency and high-quality features, and it is the quality of advanced productivity in line with the new development concept. As a strategic emerging industry, the rapid development of new energy vehicles requires the support and promotion of new productivity. New quality productivity is not only the key to promote industrial upgrading and enhance competitiveness, but also an important way to realize green transformation and meet the challenges of global climate change. Through continuous technological innovation, digital transformation, and green production, China's new energy automotive industry chain has shown strong vitality and competitiveness in the global market, which is of great significance in promoting the sustainable development of the global automotive industry. This paper deeply analyzes the development process, challenges and future development path of China's new energy automobile industry chain under the background of new quality productivity. By comparing the different development trends of the new energy automobile industry in recent years, it explores the uniqueness and complexity of the new energy automobile industry chain, and analyzes the current development status of the industry chain from the multi-dimensional perspective of technological innovation, policy environment, and market acceptance. Meanwhile, this paper also puts forward targeted development suggestions in light of the current international situation and domestic development environment, with a view to providing theoretical support and practical guidance for the sustainable development of China's new energy automobile industry chain.
University Campus Boundary Space Analysis and Research on Green Renewal Methods
Authors: Xu Chang
Published: July 2024

Against the backdrop of global climate change and environmental degradation, urban renewal is increasingly focused on promoting green and sustainable practices. The spatial renewal of university campuses has become a topic of discussion among many scholars, as it is considered an important part of the city and a reflection of urban culture and community space. The campus boundary space is an important link between the campus and the city, and it is also a key hub for cultural exchange between the campus and the city. Therefore, when discussing campus renewal, the campus boundary space is often analyzed as an independent topic. By discussing and analyzing campus boundary space, this paper proposes a renewal strategy for campus boundary space in the context of green sustainable development. In this paper, the green renewal of campus boundary space will be proposed based on five dimensions. At the same time, it combines the solution strategy of macro space problems with the detailed design of green. The green renewal strategy proposed in this paper for campus boundary space serves as the link and starting point for campus green renewal and even urban green renewal. It will provide a basic template and research direction for future green renewal efforts.
The application of honey pot technology in network attack and defense of campus network
Authors: Zhou Zhengchun , Shen Wenyao
Published: July 2024

With the proposal of the thought of Internet power, the domestic cybersecurity emergency drills are more and more frequent. The cybersecurity of campus network is facing increasingly complex and severe threats. Effective means are needed to protect campus network and information system. A honeypot device is a specially designed system or network. It can simulate the real system and high-risk vulnerabilities, in order to attract the attention of attackers, so as to collect attack intelligence, identify vulnerabilities, analyze attack behavior, and further enhance the awareness of cybersecurity in campus network, enhance the ability of cybersecurity emergency response.
The Cultivation of Students' Intercultural Communicative Competence in High School English Reading
Authors: Kong Lingling
Published: July 2024

This study aims to clarify the importance and challenge of cultivating high school students' intercultural communication ability by combing the concept of Intercultural Communicative Competence and explaining the elements of intercultural communication, such as cultural awareness, cross-cultural knowledge, communication skills, and intercultural adaptability. Based on this, this paper takes reading fragments from senior high school English textbooks published by Foreign Language Teaching and Research Press (2019) as an example to explore teaching strategies for cultivating students' intercultural communicative competence in senior high school reading classes.
The Reasons and Future Implications of Alibaba’s Acquisition of Yahoo China
Authors: Wei Xiaoyun
Published: July 2024

On a global scale, mergers and acquisitions have emerged as a crucial strategy for enterprises to expand their scale, strengthen strength, and improve efficiency. In recent years, the merger and acquisition activities of multinational corporations in China are increasing and showing a strategic trend. For both companies, these decisions represent critical moments in the process of transaction and company development, which generate value and opportunities for the future. By examining the case of Alibaba’s acquisition of Yahoo China, this paper discusses the background, circumstances of both companies, the reasons and implications, and derives the following conclusions. Acquiring companies can yield additional technical resources and market share, further enhancing their market competitiveness. The cooperation between the two sides can facilitate the mutual exploitation of resources, providing more growth opportunities for both parties. However, one of the biggest acquisitions in the history of Internet also reflects the need for companies to heighten their risk consciousness when engaging in mergers and acquisitions, in order to preclude potential adverse scenarios for both sides in the future.
Ldo Chip Advanced Technology Development Exploration
Authors: Chen Wenxuan
Published: July 2024

In the wake of the exponential advancement of information technology, electronic devices are widely used in consumer, automotive, medical, and other fields, which has an escalating demand for power management chips. Low Dropout Regulator (LDO) occupies a significant position in power management chips because of its advantages of low cost, low power consumption, and simple structure, which is the basis for electronic devices to output stable voltage without ripple and low noise. The article first introduces the research background and significance of the LDO chip. Secondly, it analyzes the basic structure of LDO consisting of five modules: reference circuit, power device, resistive feedback network, error amplifier, and auxiliary circuit. The function of each module is expounded upon, and the basic operational principle of the LDO is elucidated. Finally, the research status and development trend of LDOs in the three directions of robust power attenuation, minimal idle current, and swift transient reaction. A brief explanation of the factors influencing each parameter and their respective optimization methods is also provided.
The Influence of Fairness for Performance Salary on Employee Pay-Satisfaction
Authors: An Junjie , Abdul Lasi Masri Bin
Published: July 2024

A structural equation model was constructed to investigate the relationship between performance-based pay, fair salary distribution, fair salary procedures, external fairness of salary, and salary satisfaction. State owned enterprises and small and medium-sized private enterprises in Beijing and Xi'an were selected as research objects, and the causal relationships between the various elements in the model were empirically analyzed using on-site distribution and entrusted distribution methods. The model was then revised. Research has found that the strength of performance-based pay can significantly positively affect both procedural fairness and external fairness in compensation; Fair salary distribution and fair salary procedures can significantly positively affect salary satisfaction.
A Precision Teaching Mode in Higher Vocational Colleges based on Information Technology
Authors: Wu Shanshan
Published: July 2024

This paper explores the integration of precision teaching with information technology in higher vocational education. It identifies shortcomings in traditional teaching methods and highlights the potential of precision teaching, aided by new technologies, to address diverse student needs and optimize teaching processes. The paper proposes a three-dimensional model of precision teaching, showcasing how it can be applied in higher vocational education within an informationized context. Additionally, practical recommendations are provided to facilitate the effective implementation of this model, including government policy support, collaboration among institutions, teacher training, and technological upgrades. Overall, this research contributes to the advancement of higher vocational education by leveraging information technology for personalized learning and teaching optimization.
The Effects of Ultra-processed Foods on Food Addiction in Adolescents and the Mechanism of Prevention
Authors: Wang Zifei
Published: July 2024

Adolescent obesity is a chronic metabolic disease caused by a combination of environmental, genetic and other factors, and it poses a serious threat to adolescent health both physically and psychologically. Even worse, the negative effects can carry over into adulthood, increasing the risk of a range of cardiovascular and cerebrovascular diseases.The rising incidence of obesity among teenagers over the past few years is directly linked to the food industry's explosive growth. Meanwhile, Overindulgence in highly processed meals can result in the development of food addiction. As one of the causes of the obesity epidemic, the psychophysiological damage caused by food addiction to adolescents has increasingly received attention from all sectors of society. This paper reviews the research progress on food addiction among adolescents at home and abroad, and describes the assessment methods, occurrence mechanisms, and related preventive measures of food addiction among adolescents. It provides guidance for the prevention of adolescent food addiction and the protection of adolescent dietary health.
Study of Robotic Non-destructive Testing Solutions
Authors: Ni Shiwei
Published: July 2024

In the field of pressure vessel inspection and flaw detection, the use of robots to replace manual non-destructive testing has been a research focus. In order to reduce the need for human labor and improve the efficiency of non-destructive testing, this paper analyses the issues with traditional manual non-destructive testing and introduces three robot-based non-destructive testing technologies: ultrasonic testing, magnetic leakage testing, and radiographic testing. Additionally, this paper discusses the principles of flaw detection technology and their respective application scenarios, as well as the design of the robot structure and main control system for three technologies. Therefore, it underscores and summarizes the benefits, potential issues, and challenges encountered in practical engineering. This study seeks to offer a profound understanding and dependable guidance for advancing innovations in robotic non-destructive testing methods, along with enhancing the intelligence of industrial production. In the foreseeable future, the robot-based non-destructive testing technology is anticipated to yield innovative advancements and to consistently evolve towards enhancing the intelligence of industrial production. This anticipated progress will be facilitated by relentless research in technological innovation, intelligent control systems, and practical engineering applications.
Characteristics of Spatial and Temporal Evolution of Sandy Coastline in Shuidong Bay based on Remote Sensing Images
Authors: Zou Zhenxue
Published: July 2024

In this study, 77 periods of Landsat TM/OLI remote sensing image data of Shuidong Bay from 1987 to 2021 were used to extract the sandy shoreline of Shuidong Bay. A visual interpretation method was employed to analyze the sandy shoreline of this beach over the past 30 years. This involved examining the shoreline erosion or siltation, the linear or non-linear process of the beach, and the main patterns of beach evolution. A spatio-temporal evolution characterization study was conducted. The results demonstrated that: (1) The shoreline change of Shuidong Bay in the past 30 years is mainly stable (49.3%), with erosion or siltation occurring primarily in the middle and east side of the beach. The maximum siltation rate was 2.65 m/a, while the maximum erosion rate was -2.50 m/a. (2) There are three main evolutionary trends in Shuidong Bay. The evolution of Shuidong Bay can be divided into three main categories: linear, non-linear, and non-linear with a linear component. The linear process is primarily observed on the west side of the beach, while the non-linear process is concentrated on the south side. On the east side of the beach, the non-linear process is the dominant force shaping the shoreline. The linear process accounts for 61.2% of the total area. The first mode spatial coefficients of Suidong Bay are highly similar to the graphs of the LRR values, which further verify the main spatial pattern of the shoreline of Suidong Bay. This pattern can be described as a temporal reversal of the trend of siltation along the shoreline before 2003, followed by erosion along the shoreline after 2003. This paper presents an analysis of the evolution of the sandy coastline in Shuidong Bay. The results provide a valuable foundation for the development, utilization, management, and protection of coastal zone resources in Shuidong Bay.
Research on the Impact of Artificial Intelligence on Corporate Sustainable Development: A Case Study of Alibaba
Authors: Wu Yiting
Published: July 2024

China is currently transitioning from rapid economic growth to high-quality growth, with its influence in the international community continuously increasing. The new era and new environment impose higher standards and requirements for the steady development of enterprises. If companies cannot achieve relative sustainable development, it will result in a significant waste of resources and fail to fundamentally improve production efficiency. In recent years, the rapid development of the internet has accumulated vast amounts of data. Structured data, like numbers, are relatively easy to process and extract information from, but unstructured data such as voice, video, and images are difficult to handle satisfactorily using traditional methods. Artificial Intelligence (AI), as an emerging technology, is rapidly transforming business operations and management methods. This paper adopts a case study approach, using Alibaba as the research case, to explore the role and impact of AI on corporate sustainable development. The study finds that AI can significantly promote sustainable development by optimizing resource utilization, enhancing production efficiency, fostering innovation, and improving decision-making processes. However, the application of AI also brings challenges such as data privacy, security risks, and job displacement. This paper analyzes these impacts and proposes corresponding countermeasures and recommendations to provide a reference for companies in implementing AI strategies.
Prevention and Intervention of Allergic Rhinitis in Adolescents
Authors: Baikere Baihetiyaer
Published: July 2024

Allergic rhinitis (AR) is a common allergic disease with a high recurrence rate. Clinical symptoms include the nasal congestion, runny nose, sneezing, etc. With the development of social and economic development and the change of living environment, the prevalence of teenagers is also increasing year by year. At this time, the adolescent's body is in the development period, the mind is not mature, and there is no good understanding of the disease. Allergic rhinitis will not only interfere with the life of teenagers, but also have a bad impact on their psychology. If it is not controlled and prevented in time, it may develop into asthma and other diseases later. Therefore, the prevention and intervention of allergic rhinitis in adolescents should not be ignored, but should be taken seriously.This paper mainly discusses the epidemiological characteristics, causes and mechanisms and its prevention and treatment measures of adolescent allergic rhinitis for its reference.
Pensamiento computacional a través de STEAM con Sphero
Authors: Gutiérrez-Núñez Sandra Erika , Rincón Zuluaga Joam Manuel
Published: July 2024

Este estudio investiga cómo la metodología STEAM con robots Sphero impacta el desarrollo del pensamiento computacional (PC) en preadolescentes de 11 a 13 años de Ciudad Juárez, Chih., México.  La hipótesis principal es que el nivel de PC de los participantes en esta investigación mejorará significativamente después de tomar un taller STEAM con Sphero, con miras a responder: las condiciones de impacto, la influencia del diseño instruccional y los aspectos de mayor contribución. Para el desarrollo del estudio, participaron 67 preadolescentes y se caracteriza por ser un diseño experimental con evaluaciones de PC antes y después de la intervención. Los resultados indican que los participantes no mejoraron significativamente en PC, ya que no pudieron resolver los problemas del examen final, con lo cual, se identificó la necesidad de hacer explícitos los elementos del PC durante las clases, como identificación de problemas, abstracción, descomposición, reconocimiento de patrones, creación de algoritmos, depuración e iteración. El estudio concluye que es fundamental introducir explícitamente estos conceptos en las secuencias STEAM y asegurar suficiente práctica con cada concepto de programación, ya que la estructura tradicional de la clase de programación no prepara adecuadamente a los estudiantes, contribuyendo a la deserción escolar
¿Qué ganan los evaluadores si realizan una revisión por pares?
Authors: Machin-Mastromatteo Juan D.
Published: July 2024

A partir de la pregunta: qué ganan los evaluadores si realizan una revisión por pares, este artículo inicia dando cuenta de la relevancia de este proceso en la publicación científica, describiendo su importancia y los retos asociados, estableciendo que este proceso editorial se encuentra en crisis por diversas razones, principalmente relacionadas con el nivel de especialización que implica, las condiciones que idealmente debe cumplir un revisor y la falta de expertos disponibles y dispuestos a realizar esta labor, usualmente voluntaria. A partir de este contexto, se procede a presentar la respuesta a tal pregunta bajo tres apartados relacionados con las posibles retribuciones y compensaciones que pueden existir para los investigadores que realicen tal actividad, las cuales pueden representar algunas recompensas atractivas y fomentar la realización de la revisión por pares, pero que no están exentas de debates y controversias, que deben ser considerados cuidadosamente por los editores de revistas científicas: 1) reconocimientos morales y de enriquecimiento personal; 2) retribuciones en especie; y 3) el extraño caso del pago por la revisión por pares.
Graph neural networks in recommender systems
Authors: He Xingyang
Published: July 2024

As a way to alleviate the information overload problem arisen with the development of the internet, recommender systems receive a lot of attention from academia and industry. Due to its superiority in graph data, graph neural networks are widely adopted in recommender systems. This survey offers a comprehensive review of the latest research and innovative approaches in GNN-based recommender systems. This survey introduces a new taxonomy by the construction of GNN models and explores the challenges these models face. This paper also discusses new approaches, i.e., using social graphs and knowledge graphs as side information, and evaluates their strengths and limitations. Finally, this paper suggests some potential directions for future research in this field.
Rising Costs and Diminishing Surgeon Reimbursement From Primary to Revision Total Hip and Knee Arthroplasty: An Analysis of Medicare Advantage and Commercial Insurance
Authors: Parikh Nihir , Hobbs John , Gabrielli Alexandra , Sakaria Samir , Wellens Bryan , Krueger Chad A.
Published: July 2024

Background:

Revision total joint arthroplasty (rTJA) is a resource-intensive procedure addressing failed primary total joint hip (total hip arthroplasty [THA]) and knee arthroplasty (total knee arthroplasty [TKA]). Despite predictions of increased demand, reimbursement for rTJA has not kept pace with increasing costs and may be insufficient compared with primary procedures. The study aimed to highlight the diminishing surgeon reimbursement between primary and revision THA (rTHA) and TKA.

Methods:

This study is a retrospective analysis of billing data for primary and rTHA and TKA procedures from a single institution between 2019 and 2022. Insurance claims and charges data were provided by a local affiliate of a major national carrier which includes Medicare Advantage (MA) and commercial patients. Using insurance data, the study evaluates the total surgery costs for primary and rTHA and TKA and the individual charges that make up the total surgery cost.

Results:

Nine hundred five patients insured by the same carrier, who underwent a primary or rTJA, were identified. Irrespective of MA or commercial insurance, the average surgery cost for a primary THA was $26,043, compared with $53,456 for rTHA. Surgeon reimbursement for primary THA was 20% ($5,323) of the total surgery cost. Despite the doubled surgery cost for rTHA, surgeon reimbursement was 10% ($5,257) of the total surgery cost. Primary TKA surgery costs were $24,489, while revision costs were $43,074. Surgeon reimbursement for primary TKA was 20% ($4,918) of the total surgery cost, while reimbursement for revision TKA was 13% ($5,560). MA reimbursement was markedly lower than commercial reimbursement for primary and revision cases.

Conclusion:

Despite the higher total costs for rTJA, surgeon reimbursement is disproportionately diminished. The findings highlight the lack of incentive for revision cases. Surgeon reimbursement from MA and commercially insured patients for rTJA remains inadequate. This may limit patient access-to-care, leading to suboptimal outcomes and increased healthcare utilization.
Gender differences and correlates of visual evoked potential parameters with head circumference: A comparative analysis
Authors: Zala Hetalben , Mehta Anju
Published: July 2024

Background: Evoked potentials are electrical events recorded in the cerebral cortex after stimulation of a sense organ. They are non-invasive studies used to assess visual conduction pathways through optic nerves and the brain. Visual evoked potentials (VEPs) are affected by physiological factors such as age, sex, visual acuity, head circumference, and pupillary size. VEPs are used to diagnose and assess retinal pathology in ophthalmology, neurological pathology affecting the optic nerve and/or brain.

Aims and Objectives: The aim of the study was to investigate gender-related alteration in parameters of VEP, to obtain relationship between head circumference with latency and amplitude values of VEP parameters. To investigate whether gender, head size, or both considered as an important factor influencing VEPs parameters.

Materials and Methods: A cross-sectional study among 50 participants aged 19–29 with normal visual acuity and VEP recordings such as latencies and peak amplitude was performed using a RMS EMG EP Mark II machine.

Results: The study examined the mean latencies for N75, P100, and N145 in the left and right eyes of 25 female and male participants. No significant differences were found in N75, P100, and N145 latencies between genders. However, females showed slightly higher amplitude differences than males. In the right eye, females showed higher N75 latency and P100 latency, but no significant gender differences were found for P100 latency or N145 latency. The Pearson correlation coefficient showed weak correlations between head circumference and VEP parameters for females and males, while no significant correlations were observed for females.

Conclusion: VEPs are sensitive tools for evaluating visual conduction pathways in eye disease patients. However, gender differences in VEP parameters were not significant in this study, and a negative correlation was found between head size and VEP amplitude.