bluuebunny/crossref_metadata_2025 huggingface dataset:
Feasibility Study of Music Therapy Based Autism in Children
Authors: Du Yixuan
Published: February 2024

With the significant increase in the number of children with autism in the last decade, it has attracted extensive attention from the society. Autistic children always have to bear a very high pressure of social opinion, while they themselves experience physical pain at the same time. At the same time, the families of autistic children need to bear very great financial pressure, and they need to pay high treatment costs and medication costs. The cost of time also increases as they need to spend more attention on the care of the autistic child. This is why autism treatment is especially important and relevant in today's society. The most common method used by healthcare providers today is the traditional applied behavior analysis (ABA) therapy. However, traditional applied behavior analysis (ABA) therapy have always ignored the uniqueness of each autistic child and how to integrate into society and increase communication skills. These shortcomings can be solved by the introduction of music therapy, and music therapy can help autistic children better control their emotions and soar in social skills. What is also not to be overlooked is that music therapy reduces the cost of therapy and has greater tolerance and possibilities for the therapeutic environment and equipment. This undoubtedly overcomes some of the drawbacks associated with traditional treatments and improves the efficiency of healthcare while reducing healthcare costs. This paper attempts to analyze the role of music therapy in the treatment of children with autism and to provide feasible recommendations. It also calls on the society to pay more attention to the group of autistic children and light up a light for them.
Using chi-square categorical testing to analyse the survey data and find people’s attitude towards inequalities
Authors: Zhou Quan
Published: February 2024

This study utilizes chi-square categorical testing to analyze survey data, aiming to delve into people's attitudes towards various forms of inequality. The research investigates individuals' perceptions concerning disparities in wealth, access to healthcare, and opportunities for personal and professional growth. Data was collected through a structured survey, presenting participants with relevant questions related to societal inequalities. By employing the chi-square test, the study examines the associations between respondents' demographic characteristics and their attitudes towards inequality. Additionally, the research explores potential correlations between attitudes towards inequality and factors such as education level, income, and social background. The findings shed valuable light on the extent to which individuals perceive and respond to societal disparities, providing crucial insights for policymakers and social scientists in their efforts to design effective strategies for addressing inequality and fostering a fairer and more cohesive society.
Youth from India Conflicting Area Suffering from Mental Health Issues
Authors: Feng Sijing
Published: February 2024

Nowadays, more and more youth are suffering from mental health issues all over the world. Based on an online literature review, the author found out that there are limited journals talking about low and middle-income countries, especially the relationship between conflicting areas and youth psychological issues. With that said, this essay aims to find the relationship between youth suffering from mental health problem and India conflicting areas. It further analyzes both direct and indirect causes to the problem of mental health in the youth in India. In the suggestion section, the author also provides with several solutions at different levels. The aim of providing these solutions is try to solve or mitigate the problem of youth in conflicting areas suffering from mental health problems, also highlighting the importance of peace, trying to build a better living environment for human being.
Research on supermarket pricing strategy based on deep learning and optimization model
Authors: Dai Junchao , Liu Dinan , Yue Xiangjun , Liu Yin , Gao Weijie
Published: February 2024

To carry out reliable market demand analysis and improve the profit of supermarkets, this paper studied the automatic pricing and replenishment decision-making problem of vegetable products in fresh supermarkets. Firstly, the time series-LSTM prediction model is established. Secondly, the parameters of the Adam optimization algorithm and LSTM model are adjusted by grid search, Through the trained model, the daily sales volume, wholesale price, and sales price of each category in the next week are predicted. Finally, the pricing strategy of the total daily replenishment of each vegetable category in the next week is calculated.
Negotiating Identity and Ideology: The Research on the Ullens Center for Contemporary Art - Analyzing the Operation and Transformation of the Chinese Contemporary Art Market Through Jean Baudrillard's Theory of Consumer Society
Authors: Gao Xueting
Published: February 2024

This article focuses on the Ullens Center for Contemporary Art as a case study, employing Jean Baudrillard's Consumer Society Theory to analyze the operation and transformation of the Chinese contemporary art market. The study's primary objectives are to dissect the intricacies of the Chinese contemporary art market's operation and its specific evolution path. Additionally, it offers recommendations for future developments and prospects within the contemporary art market, aiming to enhance the global dialogue of Chinese modern art. Baudrillard's Consumer Society Theory provides a strong theoretical foundation for scrutinizing the contemporary art market, enabling a deeper comprehension of its developmental trends. Through this analysis, the paper contributes to improving the quality of Chinese modern art and its international exchanges while bolstering confidence in Chinese culture.
The Research on the Interaction Between Politics and Economy——Based on the Background of Porcelain Trade in the Qing Dynasty
Authors: Zhang Ziren
Published: February 2024

Economics and politics are often the two most important factors for a government that can maintain authority. Governments deal with domestic and international affairs primarily for economic or political purposes, but what choices do governments make when faced with a contradiction between these two factors? To understand the basis and reasons for the government's choice, this article uses the porcelain trade in China during the Qing Dynasty as an example. Government options are explored by comparing differences in pre- and post-porcelain trade. It can be observed that politics is often the preferred choice. Governments usually adopt active economic policies while guaranteeing political security and stability. Similarly, governments sacrifice economic interests for political security and stability. The same phenomenon exists in the international community, where the root cause of contradictions and conflicts between States lies in politics rather than economics. A proper understanding of this phenomenon can help people better understand the purpose of certain policies and may make the government pay more attention to the positive role of the economy.
How Can the Informal Institutions Regulate Interpersonal Relationship in Small-scale Societies: Observations from Chinese Rural Areas
Authors: Zhu Yuchen
Published: February 2024

As a result of China's "rural revitalization" strategy, the study of and response to the informal system in rural China has become an area of practical significance. In the process of policy formulation and implementation, the government's macro-level decisions have encountered some obstacles from the informal system in the countryside when they are implemented at the grassroots level. The research question of this paper is how the informal system in rural China regulates interpersonal relationships in small-scale societies. This question is not only related to the study of social structure within Chinese villages, but also a precursor to rational policy making. This paper adopts a case study research methodology, using existing literature and survey reports as research materials, and qualitatively analyzes rural cases from various parts of China, in an attempt to discover the place and role of informal institutions in the field of rural interpersonal relations. This paper analyzes several modes of operation of informal systems that exist in rural areas of China, and focuses on the favor exchange mode among them. The favor exchange model has a strong vitality in traditional societies, and it regulates interpersonal relations in the society by an informal means of moral supervision. But it also carries the risk of becoming corrosive, a risk that can slowly deprive societies of their creativity and possibilities for progress.
Legal Risk in Transnational Investment and Its Countermeasures
Authors: Ji Jiarui , Liu Na , Zhao Yanyao
Published: February 2024

In today's world, economic globalization has become an irreversible trend. Various countries and regions are gradually becoming important entities in economic globalization. Transnational investment faces a number of legal challenges and risks, including investment restrictions, differences in legal systems, corrupt practices and dispute settlement mechanisms. To address these issues, investors should have a thorough understanding of the legal differences between their home and host countries, make use of international treaties and agreements, and improve dispute settlement mechanisms in bilateral agreements. To draft a clear and comprehensive investment agreement that defines the rights and obligations of the parties involved and includes dispute settlement provisions, in addition, investors should assess and address potential legal risks through due diligence, diversification of investments, purchase of loss insurance and use of entities that provide legal protection. The need to prioritize legal considerations is essential to successful cross-border investments and to protect investments in global markets.
Vegetable sales data mining: association rule analysis
Authors: Liu Jiahe
Published: February 2024

Supermarkets sell a large number of vegetable categories, and there is a promotion or inhibition relationship between the sales volume of each product. In order to explore the law of sales volume between different products, this paper first preprocesses the data, counts the total sales volume of single products and the total sales volume of each category, and draws a bar chart to reflect the distribution law of the sales volume of each single product through visual analysis, for the correlation between different single products and categories, the correlation between categories is examined first, and the correlation between categories is pre-adopted respectively by using the Pearson and Spearman correlation analysis, and the correlation between the categories and sales volume is examined by drawing a Q-Q chart, and it is found that the distribution law does not satisfy the normal distribution, and thus the Spearman correlation analysis is adopted. The Q-Q diagram was drawn for testing, and it was found that the distribution pattern did not satisfy the normal distribution, thus Spearman correlation analysis was used to analyse the correlation, and it was found that the correlation between the categories showed a strong correlation. For different single product, we carry out Kendall consistency test for all single products, and the test results show that there is a good consistency between the single products. In order to make the analysis more comprehensive, this paper concludes with some suggestions for data collection
Analyzing Female Tragedy and Female Consciousness in the TV Series "Empresses in the Palace" from the Female Perspective
Authors: Gao Yue , Li Sining , Xie Yu
Published: February 2024

The TV series "Empresses in the Palace" is a rare boutique in the harem theme category in recent years. The TV series narrates the life of concubine Zhen Huan and her life in the harem from her perspective. Based on the plotting and textual analysis of the drama, this paper analyzes the female tragedy and the awakening of female consciousness in the drama from the female perspective. Three main aspects are analyzed: the microcosm of the harem from the female perspective, the image of women from the modern female perspective, and the overall tragedy of the harem concubines. The research objectives are achieved by studying the influence of Cheng-Zhu neo-Confucianism on feudal rituals, the embodiment of female self-awareness, and the portrayal of characters in the play. The study concludes that the characterization of Zhen Huan, as an example, contains a sense of independence in modern women's thinking and that the overall tragedy of the harem concubines and the shackles of feudal rituals lead to a clear understanding of the oppression and mutilation of women in feudal society.
Vegetable Stocking and Pricing Model Based on Time Series Forecasting and Non-linear Programming
Authors: Ren Ruyi
Published: February 2024

This study aims to help fresh produce superstores develop vegetable replenishment and pricing strategies to maximize their benefits. By analyzing historical sales records and customer demand, the study used an ARIMA model to predict future demand and a planning model to optimize superstore revenues. The study also analyzed the sales data of 6 major categories and 246 individual types of vegetables and found that flower and leafy vegetables were the most popular in the market. By performing Spearman correlation analysis on the sales volume data, the study obtained the two pairs of vegetable categories with the highest degree of correlation. In addition, a positive correlation between sales volume and total price was fitted by linear regression and converted to a negative correlation between cost-plus pricing and sales volume. Finally, past costs, damage rates, price factors, and demand were taken into account to optimize each day's data individually to maximize the superstore's revenue, where the maximum profit on the first day was $1,520.6.
Ketogenic Diet: Effective Prevention and Treatment for type II diabetes and Obesity
Authors: Zhang Yiyuan
Published: February 2024

Diabetes and obesity have evolved into substantial societal challenges, demanding urgently needed, widely promotable solutions. The ketogenic diet, originally developed for treating epilepsy, finally with metabolic adjustments as a bonus, has garnered attention in recent years as a dominant model for weight loss and health improvement. This article seeks to delve into the effectiveness of the ketogenic diet in preventing and managing type II diabetes and obesity. The ketogenic diet involves a low-carb and high-fat and moderating protein approach. These dietary adjustments can have a favorable impact on blood sugar levels and overall health. Furthermore, the ketogenic diet has shown promise in enhancing metabolism and insulin sensitivity, offering potential benefits for preventing the recurrence of type II diabetes and obesity. Understanding the potential advantages of the ketogenic diet under these conditions may provide novel insights and strategies for its application as a valuable tool in addressing these pressing health concerns.
The Legal and Practical Issues of Environmental Protection Provisions in International Investment Law
Authors: Mai Xiwen
Published: February 2024

International investment is an important form of cooperation between countries. International investment mainly in the form of investment agreements, through the signing of treaties to effectively protect the interests of investment importing countries and host countries. However, environmental problems are inevitable during the process of economic development. The deterioration of the environment will bring harm to the country and the whole world. This paper focuses on the legal and practical issues on environmental protection provisions in the area of international investment law, by means of analysing previous cases. Conclusively, these legal issues include vacancy in the specific context of environmental protection clauses, ambiguity of application and lack of legally binding force. As for practical issues, lack of evidence, lack of supervision and defeat in the evidence on compliance with environmental regulations are discussed in this paper. In closing, this paper also offers some suggestions to solve the issues mentioned above.
Research on Automated Pricing and Supplementation Decision-making of Vegetable Products
Authors: Tian Zejie
Published: February 2024

In fresh supermarkets, the shelf life of vegetable products is usually very short, so it is crucial to replenish inventory daily based on historical sales data and product line requirements. In order to strengthen decision-making and inventory management, this article first selects representative supermarket sales data and conducts appropriate preprocessing, and then adopts a series of effective analysis methods. Firstly, using Kappa consistency testing to explore the correlation between different vegetable categories can help determine which products may be correlated in sales. In addition, in order to better formulate pricing and replenishment strategies for vegetable products, this article introduces a cost-plus pricing model. When determining the markup coefficient, multiple linear regression was used to ensure that the price-setting process is reasonable and consistent with cost and demand. In order to further confirm the accuracy and feasibility of this method, the article calculated the R-squared value of multiple linear regression, which reached 0.975, providing strong validation for the effectiveness of this method. When formulating replenishment strategies, in order to obtain sales forecasts for vegetable categories within the next 7 days, this article also uses a seasonal ARIMA model, which helps supermarkets plan inventory and supply chain more effectively. These strengthening measures have jointly improved the decision-making ability of vegetable product management in supermarkets, promoted more effective data-driven strategies, ensured the freshness and quality of vegetable products, and maximized the economic benefits of supermarkets.
The Issue of Gender Inequality in Sports Through a Survey of Different Sports Programs in America
Authors: Zha Zeyu
Published: February 2024

This study focuses on a topic and argument at the heart of society: the issue of gender inequality. Focusing primarily on the sports industry, it explores how gender inequality is manifested in various aspects of various sports programs in the United States. The paper provides an in-depth exploration of the unequal treatment that men and women receive in sports by collecting the salaries of men and women in each program and analyzing the data in comparison. Finally, the result shows that there is definitely a payment gap and a reporting gap between male and female athletics among all programs including basketball, soccer, golf etc. The emergence of such gender inequality issues affects the sports climate and athletes’ social perceptions, as well as exacerbating the severity of social issues such as gender inequality. The reason of that is the instinctive physical differences between man and woman. The recommendation is to challenge this traditional norm quickly to ensure a better and purer competitive atmosphere.
Are Beliefs Voluntary in Moral Decision?
Authors: Chen Ying
Published: February 2024

For each individual, the standards of morality are completely different. People will make decisions based on their life experiences, social environment, family education, and other factors to develop their moral standards. The essay argues that beliefs are voluntary to guide an individual’s decisions and actions. Based on the moral experiment, people struggle with the importance of their family or personal will. Some people might make their decision based on others' thoughts and feel regret after many years. However, their belief and moral system guide them to determine the results, and they have complete responsibility for their action. In this essay, I will first discuss voluntary belief from the perspective of doxastic voluntarism and folk psychology. The second perspective will adopt psychoanalysis, developed by Sigmund Freud. Finally, this essay will demonstrate the necessity of voluntary belief using a moral accountability argument grounded in social psychology.
Three Generations of Semiconductors Research and Bottleneck of Development
Authors: Zhang Yu
Published: February 2024

The new technological revolution triggered by semiconductors is affecting all aspects of production and life. However, the semiconductor industry is difficult to develop and has yet to meet the high demand in many fields. This thesis explores the semiconductor industry in depth from the perspective from material performance to industry chain, exploring the development process of the three generations of semiconductors, applications, and their bottleneck. The research also explores the development of semiconductors from the nature of their materials, technology, market industry and other dimensions. The energy gap of the three generations of semiconductors is increasing, the breakdown voltage increases with it, and the semiconductor operating voltage increases as a result. Third-generation semiconductors have the highest heat conduction, so they can be adapted to more extreme working environments, and have great application prospects. Semiconductors are used in a wide range of applications, which are the cornerstone of smart healthcare, the core technology of smart manufacturing products, and the heart of information and communication. Semiconductor industry is facing difficulties in wafer manufacturing technology and the market structure of the existence of monopoly. It's the national strategic security of high-tech, but building a complete industry chain construction is difficult. Semiconductor development requires multidisciplinary innovation, multi-participation, and multidisciplinary integration. This paper provides a reference for the understanding of semiconductor evolution and new ideas for the macro development of the semiconductor industry.
Pet Companionship for Learning and Academic Anxiety in Middle School Students: The Effect of Pet Attachment on Academic Anxiety
Authors: Zhu Yifei
Published: February 2024

With the increasing demands of the society on middle school students and the continuous reform of the examination system, middle school students are facing great learning pressure and challenges. As a result, academic anxiety has gradually become one of the common psychological problems among middle school students. Meanwhile, with the development of society, increasing families are willing to accept pets as one of their family members. This study investigated whether the attachment relationship between middle school students and their pets can alleviate their academic anxiety through a case study of middle school students with pet companionship. To this end, this study conducted semi-structured interviews among 6 middle school students aged 14 to 16, and analyzed the interview results to verify whether pet companionship can alleviate middle school students' academic anxiety. The study results show that pet companionship can have a significantly positive effect on reduced academic anxiety when middle school students face large-volume learning tasks, but this effect shows no significance when adolescents face difficult learning tasks. Limitations of pet companionship are also discussed.
Application of Flavonoids in Anti-Aging and Neuroprotection
Authors: Lu Peter
Published: February 2024

Aging, as a biological process that every human experience, is always at the forefront of research in the past decades, aiming at improving the life quality of later years and slowing down the aging process. Flavonoids, a diverse group of compounds with clear and typical polypheonic structure that is largely found in plant-based foods and beverages, have emerged as promising candidates in this anti-aging research. This paper begins by elaborating aging, highlighting its multifaceted nature, its link to age-related health challenges, and the critical importance of addressing it for extended longevity. Meanwhile, flavonoid’s structural diversity, dietary sources, and potential in promoting health have been emphasized. The core of the essay delves into the applicational effects of flavonoids in anti-aging. Exploring flavonoid’s antioxidative properties, detailing how they act as safeguards against oxidative stress, protecting cellular integrity and countering age-related ailments. For their anti-inflammatory mechanisms, the paper uncovers how flavonoids have the ability to inhibit the regulatory of certain enzymes and transcription factors that is involved in inflammation, other mechanisms include the antioxidant capability and so on, these mechanisms contribute to flavonoid’s anti-inflammatory property. Additionally, the paper investigates flavonoid’s neuroprotective attributes, offering potential in preserving cognitive function during aging meanwhile to some extent preventing neuroinflammations and neurodegenerative disorders including Alzheimer’s disease which have a clear association with aging. In sum, this essay comprehensively explores flavonoid’s three main anti-aging properties, antioxidative, anti-inflammatory, and neuroprotective effect, offering a summarize of how flavonoids could potentially prevent the process of aging.
Exploring the Population Exodus of Northeast China from the Perspective of Cultural Sociology——Cultural Blockage and the Outflow of College Students
Authors: Jin Rui
Published: February 2024

The spatial migration of the population is a social phenomenon since ancient times. With the relatively stable natural growth rate, migration and flow have become significant factors affecting the size and structure of the regional population. According to the seventh national census in 2021, more serious population loss can be seen in Northeast China, where the outflow of a large number of high-quality population will lead to insufficient driving force for regional economic development. It has also become one of the vital reasons for the economic plight in Northeast China. Based on the employment emigration rate of college graduates in Shenyang, this paper explores the root of population outflow in Northeast China from the perspective of cultural sociology and puts forward relevant countermeasures and suggestions.
Reflections on Morality-as-cooperation Theory: Curry's Interpretation of Morality, Evolutionary Ethics, and Consequentialism
Authors: Li Wanze , Wang Ziye , Zhao Tianzhe
Published: February 2024

Morality-as-cooperation theory is an evolutionary moral theory that emphasizes the influence of individual thinking and character on moral behavior. It suggests that morality is shaped by cognitive abilities, social norms, and cultural values, with individuals motivated by both their interests and the welfare of others. Character plays a crucial role in providing consistency and stability in moral actions. However, the theory inherits flaws from evolutionary ethics and consequentialism, leading to the naturalistic fallacy. This theory fails to distinguish between natural facts and moral values, overlooking normative morality. It lacks attention to moral values and normativity, essential aspects of any moral theory. Additionally, its consequentialist character equates cooperation with moral normality, ignoring the distinction between morally "good" and "bad" cooperation. To address these shortcomings, it should explore the moral values behind cooperative behaviors and differentiate descriptive and normative morality. It should consider culture, beliefs, and rationality as vital factors in moral development, along with evolutionary processes. Avoiding the naturalistic fallacy requires analyzing the moral nature of cooperation and its various consequences. The theory offers valuable insights into moral behavior formation, considering individual thinking and character alongside external influences.
Effects of High-Sugar Dietary Patterns on Adolescents
Authors: Yan Shangbo
Published: February 2024

Teenagers are in a crucial phase of development, and the impact of a high-sugar diet on their health and future well-being is a significant concern. This research paper explored the adverse effects of a high-sugar diet on teenagers and proposes prevention strategies. A high-sugar diet can have severe consequences for teenagers. When sugar is consumed, it is metabolized into blood sugar and enters the bloodstream, leading to an increase in blood sugar concentration. This elevation in blood sugar levels can result in a range of health problems, including diabetes, hypertension, and obesity. To address these serious health risks, several solutions are proposed. First, individuals should reevaluate their daily diets and reduce their consumption of foods that are high in sugar, opting for alternatives such as the Mediterranean diet. Additionally, addressing the common habit of consuming sugary drinks and beverages among young people is essential. Finally, while a low-sugar diet can be effective, it must be approached with caution, as it may carry its own potential risks. Overall, prioritizing a healthy diet with reduced sugar intake is crucial for the well-being and future health of teenagers.
Extraction of Curcumin and Its Effect on Human Health
Authors: Jiang Pan
Published: February 2024

Curcumin is a non-toxic, stable phenolic substance, which is mainly utilized as a common natural food coloring agent in daily life. Currently, curcumin is extracted by various methods and processes, such as antisolvent supercritical method, liquid-liquid microextraction, ultrasound-assisted ionic Soxhlet extraction, and so on. In addition, curcumin has antioxidant, anti-inflammatory and antiviral properties, can treat metabolic and neurological disorders, and has a regulatory effect on intestinal flora. In particular, curcumin has antioxidant capacity mainly related to the structure of the β-diketone of the curcumin molecule and increases the performance of several antioxidant enzymes, which in turn reduces lipid peroxidation, decreases liver damage, and prevents the onset of carcinogenic processes. Curcumin modulates and interacts with a variety of molecular targets, and these mechanisms of action are essential for neuroprotection. Curcumin has the ability to increase levels of plasma insulin and activity of hepatic glucokinase, reduce the actions of glucose-6-phosphatase and phosphoenolpyruvate carboxykinase, which in turn decreases glycosylated hemoglobin levels and blood glucose and increases glucose tolerance in vivo. By increasing the diversity of intestinal flora, curcumin is capable of changing the ratio of pathogenic and probiotic bacteria in the intestinal tract, protecting human intestinal health.
Artistic Confluence: Examining the Cultural and Religious Interplay Between Yunnan and Imperial China During the Sui-Tang and Song Periods in Art
Authors: Fan Hangyu
Published: February 2024

This study delves into the cultural nuances of the peripheral kingdoms in the west and south-west regions during the Sui-Tang and Song periods of Imperial China. While there's extensive research on mainstream Chinese identity, these peripheral regions, particularly Yunnan, have been relatively underexplored. The area witnessed a shift from scattered chiefdoms to more structured governance, with the Nanzhao Kingdom consolidating power by the 8th century. With the introduction of Azhaliism, a form of esoteric Buddhism, in the 9th century, Buddhism replaced local pagan practices, significantly influencing the region's cultural and artistic expressions. This study analyses art pieces from the Nanzhao and Dali Kingdom periods, examining four pieces from both the respective local kingdoms and their corresponding Chinese dynasties. The art pieces, including the renowned Illustrated History of Nanzhao and the Thousand Buddha Picture from the Dali Kingdom, offer insights into the evolving cultural dynamics, reflecting both unique regional attributes and broader Chinese influences. The research suggests a growing alignment of Yunnan art with mainstream Chinese styles post the Tang dynasty, emphasizing the region's gradual Sinophilic shift, while retaining its distinctive Indo-Tibetian elements. This analysis underscores the multifaceted cultural interplay between Yunnan and central China, illuminating the symbiotic evolution of their artistic and cultural identities.
Research on China's Overseas Investment Expropriation Insurance ——Based on MIGA's Experience and Enlightenment
Authors: Ling Zicong , Zhou Jingyi , Zhou Churui
Published: February 2024

With the promotion of the "Belt and Road" initiative, the scale of China's overseas FDI has been growing exponentially, and the exposure of Chinese enterprises to overseas investment to political risks has also been on the increase. It is common for major capital-exporting countries in the world to safeguard themselves against overseas investment risks by creating an overseas insurance system for such investments. Amongst them, the Multilateral Investment Guarantee Agency (MIGA) is a representative insurance system, which is also a modality that China can learn from. At this moment, the China National Export and Credit Insurance Corporation (Sinosure) is the exclusive domestic commercial enterprise that covers overseas capital investment insurances in China. There are still some deficiencies in the scope of coverage, insurance premium regulations and underwriting conditions in the field of insurance. This essay investigates the issues of collection on insurance for Sinosure 's overseas ventures, learns from MIGA's insurance system, and puts forward suggestions for improvement.
A Practical Exploration of CDIO Engineering Education Model in Teaching of Fundamental of Software Technology
Authors: Tang Rongli
Published: February 2024

This study introduces CDIO education concepts into the teaching of the “Fundamentals of Software Technology” curriculum for non-computer majors, starting from several aspects such as course conceive and design, course implementation cases, and course operation experience, discusses in detail the three major components of the course, namely, Data Structures, Operating System, Software Engineering, have achieved initial success at present, finally summarizes the CDIO teaching practice.
The Impact of Teacher-student Relationships on Academic Engagement in Chinese High Schools
Authors: Cai Linna
Published: February 2024

"Teacher-student relationship and academic engagement" have always been important parts of research. Nevertheless, for Chinese high school students, teacher-student relationships can influence on their academic engagement importantly. The research results indicate that teacher-student rapport significantly enhances the academic engagement of Chinese high school students. Based on the findings, the researcher encourages teachers to pay more attention to marginalized students in the classroom. As there are many external influences in the study, such as class size, family background, and psychological factors. Through the interviews, class size was the main reason why not every student was able to establish a positive teacher-student relationship. Because it holds the limitations of classroom size, a 45-minute classroom makes it difficult for teachers to focus on every student. Policy makers need to reduce classroom size is the key to solving the problem. In summary, this study provides important insights into the impact of teacher-student relationships on Chinese high school students' academic engagement.
Preface: 5th International Conference on Advances in Social Sciences and Sustainable Development (ASSSD 2023)
Authors: Thorndike Lucien , Wang Shuojiang
Published: February 2024

We are pleased to present the proceedings of the 2023 5th International Conference on Advances in Social Sciences and Sustainable Development (ASSSD 2023). ASSSD 2023 was successfully held in Madrid, Spain during November 25-26, 2023. We sincerely hope that all participants and interested readers will benefit or find inspirations from this proceeding.

The objective of ASSSD 2023 is to provide a platform for researchers, engineers, academicians, scholars, as well as professionals from all over the world to present their research results and development activities in management, humanities, law, education, economy, culture, politics, social science, and sustainable development. This conference provides opportunities for the delegates to exchange new ideas face to face, to establish business or research relations, and to find global partners for future collaboration.

All received manuscripts had undergone initial screening for suitability by the editors for the scope of this conference. Suitable papers sent to at least two independent referees, and the reports from the referees are then considered by the Editor-in-Chief, who will make the final decision. The ASSSD 2023 organizing committee has made great efforts to strengthen the supervision and examination of articles and to ensure the quality of articles.

With warmest regards,

ASSSD Organizing Committees

Madrid, Spain
Assessment of Serum Soluble Toll-like Receptor-4 and Interleukin-8 as Biomarkers in Patients with Breast Cancer
Authors: Al-Hasso Ikram Khazal
Published: February 2024

Background: Chemokines and toll-like receptors (TLR) have a synergistic role in the initiation and progression of breast cancer. TLR-4 is involved in the invasiveness of cancerous cells. Interleukin-8 (IL-8) has a significant role in boosting the angiogenesis and growth of cancer cells. Objective: To measure the level of soluble TLR-4 and interleukin-8 in patients with breast cancer and to study the possibility of using them as diagnostic and prognostic biomarkers in these patients. Methods: The study enrolled a total of 200 female subjects: 100 patients who were diagnosed with breast cancer and 100 healthy controls. Soluble TLR-4 and IL-8 levels in the blood were evaluated by the enzyme-linked immunosorbent assay. Results: upregulated levels of soluble TLR-4 as well as interleukin-8 in individuals with breast cancer compared to controls (5.79 vs. 1.01 ng/ml for TLR-4 and 29.1 vs. 7.1 pg/ml for IL-8). The concentration of soluble Toll-like receptor-4 besides interleukin-8 is significantly higher in stage IV than in other stages. A substantial increase in these biomarkers in grade 3 was detected compared to other grades. ROC curves show that both biomarkers were useful in differentiating between healthy females and those who have breast cancer. Conclusions: High concentrations of soluble TLR-4 as well as IL-8 have been linked to advanced stages of breast cancer, and these markers were effective in detecting the disease and predicting its prognosis.
Addressing Recycling Inefficiencies in Shanghai Using Circular Economy
Authors: Zhang Haoyin , Luo Yinlin , Lu Zhenming , Zhang Zhuoyuan
Published: February 2024

The recycling rate in Shanghai, despite being a role model among Chinas cities, still has significant room for improvement. If the recycling rate in Shanghai is improved, peoples lives will be better. Being aware of it, and since the lack of value recapture in Shanghai is not encouraging, we are interested in offering a possible solution for the current situation. The difficulty for private sectors to enter leads us to the main discussion. By case studying German and other developed countries incentives toward this issue and researching SRRTAs, Biohms and other websites reports, this paper will respond to the challenges demonstrated above by offering a probable solution: By providing governmental help toward the private sectors, the informal sectors efficiency of recycling can be elevated.
An analysis of various deep learning-based target detection algorithms in the field of autonomous driving
Authors: Wei Jiale
Published: February 2024

Target detection is a crucial research objective within the domain of computer vision, finding extensive applications in areas such as robotics, autonomous driving, industrial inspections, and various other fields. Based on the foundation of deep learning theory, this paper systematically summarizes the application and prospect of each type of target detection algorithm (based on regression and based on candidate region) on automatic driving, compares the advantages and disadvantages of the two types of algorithms, as well as the results of detecting traffic signals, traffic vehicles, and pedestrians, and focuses on the application scenarios as well as the comparison of advantages and disadvantages of each method. A systematic summary of the current development results is made. Among them, the most prominent target detection in the field of transportation is undoubtedly the algorithms of various branches of the YOLO series.
Research on the technology of intelligent vehicle sensor positioning system in autonomous driving
Authors: Chen Zhengdong
Published: February 2024

In this comprehensive exploration of positioning and navigation technologies, we have delved into the intricacies of GPS (Global Positioning System), IMU (Inertial Measurement Unit), and VPS (Visual Positioning Systems) systems, shedding light on their unique attributes and applications. GPS, a global satellite-based system, offers precise positioning on a worldwide scale, although it encounters challenges in complex urban and environmental conditions. Its role in navigation and tracking is undeniable. IMU, characterized by accelerometers and gyroscopes, excels in delivering high-precision positioning over short durations, making it invaluable for applications in aviation, robotics, and virtual reality. However, it is susceptible to drift over time. Visual Positioning Systems (VPS), harnessing computer vision and visual sensors, provide remarkable sub-meter to centimeter-level accuracy when conditions are optimal. Their significance is particularly pronounced in indoor navigation, augmented reality, and robotics, although they may face challenges in less favorable environments. These technologies are not isolated but can synergize to enhance accuracy and reliability. GPS and IMU collaborate to compensate for signal disruptions, while GPS and VPS join forces to tackle urban complexities. IMU and VPS integration offer precise indoor navigation and augmented reality experiences, delivering impeccable positioning and orientation data. Ultimately, the choice of technology hinges on specific application requirements, encompassing accuracy, environmental considerations, cost factors, and the need for complementary systems. As these technologies advance, they hold the promise of revolutionizing navigation across various domains, from autonomous vehicles to immersive augmented reality environments.
Adverse Drug Reactions prediction by combining wide & deep learning and POLY2
Authors: Liu Daoming , Fu Zexin
Published: February 2024

Accurate prediction of Adverse Drug Reactions (ADRs) holds immense importance in the field of clinical medicine and drug development. The requirement of accurate prediction spans various stages, ranging from drug design and clinical trials to marketing monitoring. The traditional ADR forecasting method has the disadvantage that it requires a lot of computing resources and is not suitable for large-scale forecasting. To address this issue, this study introduces the Wide & Deep model. This model combines the abilities of memorization and generalization to enhance the accuracy of ADR predictions. Additionally, we identify a shortcoming in the wide component of the traditional Wide & Deep model the lack of nonlinear transformation. Therefore, we propose the inclusion of POLY2 in the Wide & Deep model to rectify this shortcoming. By incorporating POLY2, our aim is to retain the models memorization and generalization abilities, leverage the nonlinear relationship between features, and capture the interaction effect between drug chemical substructures for better model performance. To validate our proposed method, we conduct experiments on two datasets: the FDA Adverse Event Reporting System (FAERS) and PubChem. The evaluation metric utilized is the Area Under the Curve (AUC) score, which demonstrates that our method outperforms the original model. The results indicate that by combining POLY2 feature crosses with the Wide & Deep model, we have achieved significant improvements in the prediction of ADRs.
Research on the intersection of natural language processing and deep learning
Authors: Cai Hanwen
Published: February 2024

In the past ten years, Natural Language Processing (NLP) has made many surprising progress due to the rapid development of Deep Learning(DL) and further explored the possibility of future development. This article briefly introduces the NLP field, the basic structure of DL, and the impact of the combination of DL and NLP on the NLP field. Finally, it reviews the limitations of the two under the constraints of current science and technology and looks forward to the possibility and direction of their future development. Appropriately applying DL to NLP can indeed bring great progress to the core areas and applications of NLP. Still, at the same time, the development of NLP will also be limited by the shortcomings of DL. It is necessary to continuously optimize the DL model while taking advantage of the advantages of DL. The most critical factor to promote the development of DL and NLP in the future.
Current study on HCI based AR technology in the medical industry
Authors: Yu Menghe
Published: February 2024

Augmented Reality (AR) is a new technology that based on Human-Computer Interaction (HCI) can combine our real life with 3D virtual information through real-time computing and multiple sensors. It simulates people's senses, such as hearing, vision, touch, etc., bringing things that cannot be seen in reality to people's eyes, which will bring people a feeling beyond reality. It has already appeared in our lives and has applications in many fields, such as architecture. Especially in the gaming field, AR, an innovative emerging technology, is widely loved by young people. With the development of technology, the forms of AR games have also become diverse. It has also developed rapidly in the medical field in recent years. This article will discuss the current situation of AR and its advantages in the medical industry based on Human-Computer Interaction (HCI) from three aspects: doctor diagnosis, patient rehabilitation, and medical education with examples of applications. Then, this article will discuss some of the drawbacks of using AR and the problems that will be encountered in future development, and propose solutions. Finally, analysis and predictions will be made for the future development of AR in the industry.