bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Sentiment Adjectives on Recruitment Language: A Corpus-Based Comparison of Chinese and Spanish Job Ads
Authors: Chen Yating , Liu Yansheng
Published: December 2024

Adjectives play a key role in shaping recruitment language by influencing how job requirements and company culture are perceived. This study applies a corpus-based critical discourse analysis (CDA) to examine the use of sentiment adjectives in Chinese and Spanish job advertisements. It analyzed 160 job ads from China’s 51job.com and Spain’s Indeed platform, focusing on STEM and non-STEM fields. Using tools like TreeTagger and Rost CM6, it conducted frequency and sentiment analysis to see how adjectives reflect work environments and potential biases. The results show a strong preference for positive adjectives in Chinese ads, while Spanish ads feature a more balanced mix of neutral and positive adjectives. Interviews with recent graduates further highlight how these language patterns affect their perceptions of job opportunities. This study provides useful insights for job seekers and employers on how to write and interpret recruitment ads effectively.
Enhancing Liquid Cooling Systems in Electric Vehicle Batteries: Principles and Nanomaterial Innovations
Authors: Zheng Zeyi
Published: December 2024

As electric vehicles (EVs) continue to grow in popularity, managing the thermal behavior of lithium-ion batteries (LIB) has become increasingly important. Higher energy densities in batteries lead to significant heat generation during operation, which can cause short circuits, fires, and overall performance degradation. To maintain safety and performance, liquid cooling systems play a crucial role in controlling battery temperatures. This paper explores the principles behind liquid cooling systems used in EV batteries and discusses recent methods to enhance their efficiency. Special focus is given to the integration of nanomaterials, such as metal oxides, graphene, and carbon nanotubes, into base coolants to form nanofluids. These nanomaterials, known for their high thermal conductivity and large surface area, improve the thermal properties of the coolant, facilitating better heat absorption and dissipation. By using nanofluids, the cooling performance can be significantly enhanced, reducing the risk of localized overheating and ensuring safer, more efficient battery operation.
Application and challenge of artificial intelligence face recognition technology in adolescent mental health assessment
Authors: Zhang Zhiyi
Published: December 2024

In recent years, with the rapid development of society, teenagers' mental health problems are becoming more and more serious. How to find teenagers' mental problems in time and intervene in time treatment has become a big social problem. As an emerging technology, artificial intelligence provides a solution to this problem, and the psychological evaluation system based on artificial intelligence technology has been developed to a certain extent. This paper reviews the feasibility and necessity of applying artificial intelligence technology to psychological assessment system, and discusses the existing problems of several mainstream psychological assessment systems combined with artificial intelligence and why they cannot be applied on a large scale. At the same time, this paper explains the feasibility and advantages of the psychological evaluation system based on expression recognition technology, and explains how to implement and optimize it.
A Study of the Role of Psychological Contract in the Interaction between Consumer Loyalty and Brand Satisfaction: A Case of Starbucks
Authors: Gu Yicen , Liu Yixiao
Published: December 2024

In nowadays market, most consumers choose downgrades consumption and also faced globalization of competition. Therefore, customer satisfaction with the brand become the most important factor of enterprise development. Consumer loyalty is the preference and repetitive purchasing behavior that consumers maintain for a specific brand for a long period of time. Customer satisfaction refers to a major concept in the field of marketing and consumer behavior. This essay will divided psychological contract into experience marketing, Starbucks rewards card strategy, brand responsibility degree to analyze. Research shows that experience marketing, Starbucks rewards card strategy, brand responsibility degree would be a big factor to influence the customer satisfaction. Also, higher in customer satisfaction, higher in consumer loyalty. Hence, explore the influence of psychological contract on brand satisfaction and then influence consumer loyalty to play a mediating role. Therefore, it is reasonable suggestions can be put forward for brand marketing by analyzing different kind of psychological contracts which been used.
Design and Implementation of Partial Discharge Acquisition System Based on FPGA
Authors: Yang Zixing
Published: December 2024

This paper designs and implements a FPGA-based partial discharge signal acquisition system based on the needs and challenges of partial discharge detection technology. Partial discharge is an early warning signal of insulation failure of power equipment. The real-time and accuracy of detection are crucial to ensure the stability of the smart distribution network. The advantage of ultrasonic detection method is that it has strong anti-electromagnetic interference ability, especially in a strong electromagnetic environment, it can provide stable detection results. The hardware design includes ultrasonic receiving module, signal conditioning circuit, signal acquisition circuit, and control and signal processing circuit. The ultrasonic module uses a 40kHz sensor to receive signals, the conditioning circuit realizes envelope detection through AD8310, and the data acquisition is completed by the high sampling rate 3PA1030 ADC. The control part is based on Xilinx Artix-7 FPGA design, integrating data caching, transmission and clock management functions. The software part adopts a top-down design method to construct signal reception and transmission, module configuration, data acquisition and transmission processes to ensure the functional integrity and data stability of the system. Experimental verification shows that the system can accurately capture and process partial discharge signals, and the test results meet the design expectations, with high reliability and practicality. The successful implementation of this system provides effective technical support for the application and promotion of partial discharge detection technology, and also lays the foundation for real-time monitoring and fault diagnosis of smart distribution network equipment.
Navigating the Future of Food: Plant-Based Meats as Sustainable Answer to Global Challenges
Authors: Geng Wenxi
Published: December 2024

With the global population expected to reach nine to ten billion by 2050, the need to ensure food security while minimizing environmental impact becomes increasingly critical. Traditional meat production significantly contributes to greenhouse gas emissions and poses various health risks, making the search for sustainable alternatives imperative. Plant-based meats have emerged as a viable solution, offering nutritional advantages such as reduced saturated fats, essential micronutrients, and a significantly lower environmental footprint. However, the widespread adoption of plant-based meats faces challenges, including high production costs, limited availability, and consumer skepticism about taste and processing methods. These barriers must be addressed through continued innovation, scaling production to reduce costs, and educating consumers regarding the health and environmental advantages of plant-based options. By overcoming these obstacles, plant-based meats create a sustainable and health-conscious global food system, helping to fulfill the nutritional demands of a growing population while safeguarding the environment.
Psychological Analysis of the Audience of TikTok Popular Content
Authors: Yan Boyu
Published: December 2024

With the rapid growth and continuous iteration of Internet technology, it has profoundly transformed the way information is disseminated and gradually infiltrated into every aspect of modern life, becoming an indispensable companion for people. In this era of information explosion, the Internet is not only a vast repository of knowledge and entertainment but also a new arena for personal expression and social interaction. In addition, the development of artificial intelligence has made the audience no longer passively receive information, greatly enhancing the interaction between communication and reception. This paper uses relevant data to analyze the transformation of user information acquisition methods, TikTok's unique information push mechanism, TikTok’s personalized popular content cases, and users' diversified needs, to show how TikTok accurately caters to the psychological demands of different user groups, and to explore the audience psychology represented by TikTok's popular content. Research shows that TikTok meets users' psychological expectations and needs in the fields of information acquisition, entertainment, relaxation, knowledge development, shopping, and consumption through accurate push, rich and diverse content, and powerful functions.
Application Practice of ' One Through Three Prevention ' Technology in Gob-side Entry Retaining of 1027 Working Face
Authors: Hu Chao
Published: December 2024

As one of the main energy sources in China, it is very important to ensure the safe production of coal. Aiming at the problems of air leakage, gas accumulation, large dust and spontaneous combustion of coal seam in 1027 gob-side entry retaining working face of Jiegou Coal Mine in Anhui Province, the technical measures of " one ventilation and three preventions " are adopted. Through the use of Y-type ventilation system, thin spray sealing technology of gob-side wall and three kinds of fire prevention and extinguishing technology, the safe production of gob-side entry retaining working face is ensured, which provides technical and practical experience for the " one ventilation and three preventions " work during the safe mining period of gob-side entry retaining working face.
Research Progress on The Adsorption and Their Mechanisms of Polycyclic Aromatic Hydrocarbons in Soil by Microplastics
Authors: Wang Qin , Xu Chao , Tian Rong , Yang Fan
Published: December 2024

The physicochemical characteristics and refractory properties of microplastics can adsorb and enrich polycyclic aromatic hydrocarbons in the environment, and then release the adsorbed and accumulated pollutants into other organisms, which will cause harm to the soil ecosystem. In this paper, the effects of microplastics type, size, density, aging degree and soil environmental factors on the adsorption of polycyclic aromatic hydrocarbons by microplastics were reviewed. This paper will provide a theoretical basis for exploring and revealing the combined pollution of microplastics and polycyclic aromatic hydrocarbons in the soil environment.
The Manifestation of Gender Differences in Education Under the Background of The New Era
Authors: Yang Zimo
Published: December 2024

With the advent of the new era, educational equity and gender equality have become the focus of social attention. This study explores in depth the manifestation of gender differences in education under the background of the new era, aiming to reveal the specific manifestations and causes of gender differences in the field of education and propose corresponding countermeasures and suggestions. Research has found that gender differences in education are reflected in multiple aspects. There are also gender differences in subject selection, academic performance, and teachers' attitudes towards students. The curriculum and textbook design of schools also imply gender socialization, and the portrayal of gender roles in textbooks often reinforces traditional gender differences and discrimination, affecting students' gender identity and awareness. Gender differences in education are the result of a combination of multiple factors. Sociocultural factors, psychological factors, educational environment, and teaching strategies have all had a profound impact on gender differences. To address this phenomenon, schools should treat every student equally in teaching and provide them with more choices, so that they are not limited by gender stereotypes in subject electives. At the same time, teaching strategies need to be diversified, adapted to the needs of students of different genders, and help students find learning methods that are suitable for themselves.
The Impact of the Development of Feminism on the Construction of Women's Psychological Environment in the Internet Era
Authors: Deng Canyang
Published: December 2024

Under the influence of feminism in the Internet era, women's psychological changes have been widely discussed, but there are still shortcomings in Internet communication. This article will analyze the impact of the Internet age on the development of feminism and the construction of women's psychological environment. This article will conclude that the Internet has a certain positive impact on the spread of feminism, including expanding the number of people who understand feminism and promoting the improvement of women's social status. Women's psychological environment has become more and more positive under this development, which not only liberates their thoughts but also makes their ideas more open. Of course, Internet communication also has the problem of single extreme information caused by the echo chamber effect, as well as the spread of false information and the release of emotional and guiding comments. These problems all affect the further promotion of feminism in society. Based on the existing problems, this article puts forward the following suggestions: the Internet platform updates the push mechanism, the communicator publishes the content carefully, the Internet users improve their ability to distinguish, and psychological counseling makes reasonable use of feminist ideas.
The Three COVID-19 Treatments: Vaccine, Antibody, And Inhibitor
Authors: Xie Huixin
Published: December 2024

Coronavirus disease (COVID-19) as a severe contagion induces the international public health emergency. Millions of people have been infected or died. The whole society affected because of the suspending of work. To deal with this situation, scientist did studies and research on various kinds of treatments. Among those, vaccine, antibody and inhibitor are three common treatments for COVID-19. Vaccines, by mimicking the infection of external pathogens but with lower pathogenicity, help the host establish long-term protection, which is the key prophylactic strategy. Antibody, the product of immune response, is taken as the treatment after infection. Inhibitor, usually small molecules or enzymatic analogues, aims to interfere with the functions of viral enzyme and disrupt the life cycle of virus. In this review, we conducted a thorough investigation by literature reviewing, illustrating the definition, components and mechanisms of these three treatments, besides, some specific approved drugs in the corresponding categories are also presented.
The thoughts of HPV of the related regional and gender-based features and the differences between different subtypes
Authors: Huang Yurong
Published: December 2024

HPV is Human Papilloma Virus. It is a sphere DNA virus, which is very common in nature. The only host of HPV is human beings. Currently, 150 subtypes of HPV have been identified. With the severity, it can be divided into high-risk HPV and low-risk HPV. One of the most terrifying features of HPV is that many people with HPV don’t have any symptoms but can still infect others through sexual contact. The common symptoms include warts on the surrounding skin. The warts usually appear as rough, occur on hands and fingers. To avoid more people suffering from HPV and make sure public health, we should enhance sex education and strengthen public health publicity. This essay will introduce the differences and features of high-risk HPV and low-risk HPV and different subtypes of HPV. At the same time, the mean reason leads to the differences between high-risk HPV and low-risk HPV, which is the virus interacting with host cells, specifically the expression of certain viral proteins, which can significantly disrupt cell growth regulation and leading to the potential for cancer development. Also, the essay contains the production principles, working principles and side effects of HPV vaccine, and why some people still not accept this vaccine.
Wireless Charging for Electric Vehicles: Breakthrough and Future Path
Authors: Wang Shize
Published: December 2024

This design focuses on the wireless charging problem of electric vehicles, using experiments on wireless technology content and practical case studies for in-depth exploration. The research results indicate that its advantages include convenient charging, reduced safety hazards, and lower maintenance costs. Greatly improved the user experience. Especially, it eliminates the tedious process of plugging and unplugging charging cables, making the device more flexible during use.
The Impact of Trade Wars and Protectionism on the Global Economy: A Sino-US Perspective
Authors: Xu Jiahao
Published: December 2024

The Sino-US trade war, sparked by deep-rooted economic tensions, emerged from the United States' concerns over its significant trade deficit with China and accusations of unfair practices, including intellectual property theft and forced technology transfers. Under the Trump administration, protectionist policies intensified, leading to a series of tariffs and countermeasures, impacting key industries such as agriculture, electronics, and automobiles. Although negotiations led to partial agreements, including the Phase One deal in 2020, many issues remained unresolved, and the Biden administration has maintained certain tariffs, keeping trade tensions simmering. This report delves into the far-reaching impacts of the Sino-U.S. trade conflict and the rise of protectionism on the global economy. Protectionist measures like tariffs, quotas, and subsidies disrupt international trade, raise production costs, and contribute to inflationary pressures. This not only weakens global supply chains but also reduces consumer choice, raises unemployment, and stifles economic growth, particularly in developing nations heavily reliant on exports. The trade war has also hindered investment flows and technological cooperation, especially in emerging sectors like semiconductors and artificial intelligence. In conclusion, the report advocates for strategies such as strengthening regional cooperation, diversifying supply chains, and fostering technological innovation to counter the negative effects of protectionism and promote long-term global economic resilience.
Relationship between Ultra-processed Food Consumption and Obesity in Low-income Populations
Authors: Chen Xiaolu , Li Haoyang , Sun Bingbing
Published: December 2024

Background: In recent years, the consumption of ultra-processed foods (UFPs) has increased rapidly in various countries, and based on this, various health problems such as chronic diseases such as obesity are common, especially in the consumption patterns of low-income groups. This is not only a serious threat to individual health but also causes various pressures on the public health system. Therefore, it is of great practical significance to study the consumption behavior of low-income people on UFPs and its impact on health. Results: Data analysis showed that after adjusting for confounding factors, we found that the population with high frequency of consumption of super industrial food had a higher risk of obesity than the population with low frequency of consumption of UFPs. This food is usually high in sugar and fat, in addition, long-term artificial sweeteners may increase people's desire for sweets, so low-income people are easy to develop dependence on UFPs, which increases the risk of obesity. Conclusion: This study shows that there is a strong direct relationship between excessive consumption of UFPs and obesity, especially in low-income populations. This leads to a significant increase in the prevalence of obesity and related chronic diseases. Therefore, the results of this study provide direct and important reference materials for public health workers and policymakers, thereby reducing the enormous pressure on social health caused by UFPs, raising public awareness of its harmful effects, and improving the eating patterns of low-income populations. This research has important theoretical significance and practical value.
Comparative Analysis of GANs and Diffusion Models in Image Generation
Authors: Wang Haotian
Published: December 2024

Image generation has emerged as a rapidly evolving field with transformative applications in entertainment, medical imaging, virtual environments, and various other industries. This paper presents a thorough analysis of technological developments and current mainstream models in image generation, focusing on Generative Adversarial Networks (GANs) and diffusion models. It explores their theoretical underpinnings, advantages, limitations, and practical applications. The study highlights that GANs are particularly effective in producing diverse and high-quality images with notable speed but are often hindered by issues such as mode collapse and training instability. In contrast, diffusion models are praised for their ability to generate high-fidelity and detailed images, though they require extensive computational resources, making them less suitable for resource-constrained environments. The paper also discusses the current challenges faced by these models, such as biases and inefficiencies, and proposes potential solutions and future research directions. By addressing these issues and exploring ways to enhance model efficiency and multi-modal generation capabilities, this study aims to provide valuable insights that will drive further innovation and practical application in the field of image generation.
The Study of Rainbows and Quantisation in the Nature
Authors: Huang Tiantian
Published: December 2024

This paper sets out to explore the fascinating phenomenon of rainbow formation, examining the intricate details and fundamental principles from both classical optics and quantum physics viewpoints. It analyzes the sequential processes that take place when sunlight interacts with water droplets, clarifying how refraction, reflection, and dispersion combine to create the splendid display of a rainbow. Additionally, the study extends its scope to encompass related optical phenomena such as the formation of the neon, the Buddha's Light, and the aurora. By integrating these diverse scientific fields, a profound understanding of light and the complex interactions in nature is attained. This not only sheds light on the fundamental nature of light but also underlines the crucial significance of bridging different scientific disciplines to unravel the mysteries of natural optical phenomena.
Research on UberEats by AI Self-Driving Cars
Authors: Cheng Siyu , Gu Lingzhou
Published: December 2024

Driven by the relentless advancement of artificial intelligence technology, autonomous driving technology is progressively transforming the transportation industry, presenting unprecedented opportunities for pioneering companies in the ride-hailing sector such as Uber Eats. The deep integration of autonomous driving technology not only signifies a technological leap but also achieves a qualitative leap in cost structure optimization and operational efficiency. Through intelligent algorithms and precise dispatch systems, autonomous vehicles significantly reduce reliance on human labor, thereby substantially lowering operational costs. Simultaneously, their superior driving stability and accident prevention capabilities effectively mitigate traffic accidents and hefty maintenance expenses caused by human errors, further minimizing expenses throughout the vehicle's lifecycle. These cost optimizations empower Uber Eats with greater pricing flexibility and market competitiveness, allowing it to offer more attractive service packages and an enhanced customer experience. This, in turn, accelerates business growth, solidifies its market leadership position, and lays an unshakeable foundation for the company's long-term development in the intelligent transportation sector.
The Impact of the Mentoring Relationship on the Research Self-efficacy of Graduate Students: The Moderating Role of Stress and its Regulatory Impact on Stress Mindset
Authors: Peng Xianjie , Tai Xinyi , Zhou Jinyi
Published: December 2024

Graduate education is pivotal in fostering innovative talent and facilitating national modernization efforts. It serves as a crucial component in executing the strategy of scientific advancement through education and research. Grounded in self-efficacy theory and social cognitive career theory, this study developed a moderated mediation model to investigate the connection between mentoring relationships and research self-efficacy. Data were gathered from 2,278 graduate students across various provinces and cities nationwide, analyzed using SPSS software for model testing and theoretical validation. The findings indicated a positive association between mentoring relationships and research self-efficacy; stress functioned as a mediating factor between these relationships and research self-efficacy; Stress Mindset negatively moderated the relationship between mentoring relationships and research self-efficacy, as well as the relationship between mentoring relationships and stress, while also mediating the impact of stress. This study elucidated the mechanisms through which mentoring relationships influence research self-efficacy and offered recommendations for enhancing graduate students' research self-efficacy.
The Impact of Sufficient Infrastructure Investment on Regional Macro-economy – Taking California High-Speed Rail Project vs LaGuardia Airport Reconstruction Project as Examples
Authors: Wang Wenyuan
Published: December 2024

This paper employs case study methodologies to scrutinize the macroeconomic ramifications of the California High-Speed Railway project and the LaGuardia Airport reconstruction project on the regional economy and explore the multidimensional impact of infrastructure initiatives on their regional economies. It delves into the multifaceted impacts of infrastructure investments in fostering regional economic expansion, augmenting employment opportunities, and bolstering regional competitiveness. The research approach integrates qualitative analysis, invoking pivotal economic theories to substantiate the comprehensive assessment of these two monumental projects' effects on the regional economy, encompassing social responsibility, sustainability, and governmental governance. The California High-Speed Railway Project facilitates the circulation of economic resources within California and the connectivity and commercial development of small and medium-sized cities by building a convenient high-speed transportation network that reduces dependence on car travel. Conversely, the LaGuardia Airport Redevelopment Project strengthens New York's function as a global transportation hub and an important port on the East Coast by upgrading the airport's aviation infrastructure and logistics clearance efficiency. Studies have shown that these infrastructure investment projects create many jobs, improve the labor market's employment flexibility and social inclusiveness, and promote sustainable development that reduces costs and increases efficiency through green building and energy-saving and emission-reduction technologies. This paper comprehensively verifies the endogenous growth theory and regional competition theory as a strategy for future investment in the construction of metropolitan infrastructure. It provides empirical support and scientific optimization suggestions for policy.
Research On the Promotion and Hindrance of The Concept of Gender Equality Under the Background of The Internet Era
Authors: Cao Jingwen
Published: December 2024

In the context of the Internet era, the problem of gender inequality between men and women has been widely discussed, but there are still shortcomings in promoting the concept of gender equality. This paper analyzes the importance and hindrance of promoting the concept of equality between men and women under the background of the network era. This paper concludes that the concept of gender equality plays an important role in the development of society, which can promote social fairness, enhance social stability, and promote economic development. At the same time, in the Internet era, the development of gender equality has also been hindered by many obstacles, including gender stereotypes, the influence of Internet public opinion, and the quantification of gender flow. Based on this, this paper puts forward the following suggestions: to carry out education and publicity on the concept of gender equality, to enhance the awareness of gender equality; strengthen relevant policies and strengthen the control of gender discrimination on the Internet; make full use of web technology to create a female-friendly platform.
The Impact of Dietary Management on Gestational Diabetes Mellitus and Its Complications
Authors: Ma Xinyuan
Published: December 2024

Given the numerous factors affecting both the mother and fetus, the incidence of complications related to gestational diabetes mellitus (GDM) is increasing. Consequently, research on GDM is extensive, and its prevalence continues to rise annually. Awareness of GDM is growing, and due to its associated risks, dietary management strategies have become one of the more common interventions. Among the prevalent dietary interventions for GDM, medical nutrition therapy (MNT) and the Mediterranean diet have been frequently utilized. Combining dietary management with exercise and lifestyle modifications has shown promising results in treating GDM. Current research primarily focuses on dietary management for GDM, but supplementation of other nutrients remains insufficient, and patient compliance is still lacking. Some research methodologies also suffer from incomplete data. This paper reviews the progress in studies related to MNT and other common treatment methods, identifying current treatment approaches, their status, and existing challenges. It aims to provide a foundational reference for future research, highlighting the need to refine nutrient supplementation strategies tailored to individual patient needs to improve compliance.
Classification of Supply Chain Artificial Intelligence Application Scenarios
Authors: Tang Xinhao , Yu Lingzhong
Published: December 2024

The purpose of this paper is to classify and analyze the application scenarios of artificial intelligence in supply chain based on case studies of multinational companies. The paper first introduces the background and development of AI and discusses its current applications in supply chain management. Three main large-scale application areas are proposed, namely supply chain demand forecasting, risk management, and transportation operations planning. Three representative cases from Walmart, HP and UPS are reviewed based on the applied technologies, implemented processes, and advantages and disadvantages. As can be seen, this study contains meaningful recommendations to enhance the use of AI models in other industries and to adapt them to their characteristics. In conclusion, it can be said that AI has great potential to improve supply chain performance and resilience to adversity if conditions are taken into account in practical applications.
Effect of Racial Homophily on AI Anthropomorphism and News Anchor Credibility
Authors: Long Qiyu
Published: December 2024

This study explores the influence of anthropomorphism and racial homophily on audience trust in Artificial Intelligence News Anchors (AINAs) in the context of contemporary journalism. Utilizing a comprehensive between-groups experiment, participants were recruited online and presented with audiovisual news clips featuring AINAs. The research investigates the relationships among anthropomorphic cues, viewers’ perceptions of racial homogeneity, and the trustworthiness of news conveyed by these AI entities. Findings indicate a significant positive correlation between visual cues and news trustworthiness, while anthropomorphic features exert a moderating effect. However, the study highlights limitations in sample representativeness and generalizability across diverse cultural contexts, suggesting that results may not apply universally to all AINA viewers. The study calls for further exploration of the interaction between racial traits and AI technology, emphasizing the need to consider personal attributes and the evolving landscape of AI in journalism. By advancing the theoretical framework of human-AI interaction, this research contributes valuable insights into the intersection of technology, media, and audience perception.
Protective Effects of Tea Polyphenols on Alcoholic Liver-injured Mice and Alcoholic Stomach-injured Mice
Authors: Zhou Yiyang
Published: December 2024

The aim of this review is to investigate the protective effects of tea polyphenols on alcoholic liver injury and gastric injury and their potential mechanisms. Alcoholic liver injury and gastric injury are serious health problems caused by chronic excessive alcohol consumption, involving complex pathological mechanisms such as oxidative stress, inflammatory responses, abnormalities in immune regulation, apoptosis, disorders of lipid metabolism and fibrosis. Tea polyphenols, a class of polyphenolic compounds derived from tea, have been shown in several studies to have significant protective effects against these impairments due to their potent antioxidant and anti-inflammatory properties. This paper presents a comprehensive analysis of existing studies on tea polyphenols in the treatment of alcoholic liver injury and gastric injury, including their mechanisms of action such as antioxidant, anti-inflammatory, modulation of lipid metabolism, promotion of tissue repair, protection of the mucosal barrier, and modulation of intestinal flora. Despite the potential for clinical applications of tea polyphenols, current studies have limitations, including low bioavailability and stability issues. Future research should focus on improving the stability and bioavailability of tea polyphenols, conducting clinical studies to validate their safety and efficacy, and exploring the use of tea polyphenols in combination with other therapeutic agents. This paper provides a scientific basis for the use of tea polyphenols in the prevention and treatment of alcoholic liver injury and gastric injury and points out directions for future research.
The Role of Green Marketing in Enhancing Corporate Brand Image: Tesla
Authors: Yuan Minxin
Published: December 2024

This thesis focuses on exploring the significant enhancement effect of green marketing on corporate brand image, and analyses the typical case of Tesla. Nowadays, the global concern for environmental protection and sustainable development is increasing daily, and green marketing has become a key strategy for enterprises to build a superior brand image and strengthen market competitiveness. Tesla, as a leader in the electric vehicle industry, practice in the field of green marketing is of great research value. Through an in-depth study of Tesla’s green marketing strategies, it will analyze how these initiatives contribute to consumers’ perceptions, attitudes, and purchase intentions toward the Tesla brand. It is found that Tesla’s green marketing initiatives have not only enhanced the brand’s environmental image and successful attracted many environmentally conscious consumers, but also greatly strengthened the brand’s technological sense and innovative image, making it shine in the market. At the same time, Tesla’s successful experience also provides a valuable example for other enterprises to implement green marketing, which profoundly emphasis that enterprises must pay attention to environmental protection and social responsibility while pursuing economic benefits, to achieve sustainable development and greatly enhance their brand image.
Control of Post Fermentation Process and Quality Evaluation for Frying and Roasting Purposes of Dry-aging Beef
Authors: Bu Xinxin , Zhu He , Xing Yanxia
Published: December 2024

In this study, Simmental hybrid yellow beef was used as raw material and sensory quality of beef was taken as the research object. The effects of time, temperature and wind speed on the quality of Simmental hybrid yellow beef were considered, and the optimum ripening conditions were obtained through single factor experiment and orthogonal experiment. The flavor changes of fried beef under different dry aging conditions were studied by SPME-GC-MS and ATR-FTIR combined with traditional physicochemical analysis methods. The volatile components of beef in blank group (A), experimental group (B) and control group (C) were determined by SPME-GC-MS technology. The volatile components common to the three types of beef were screened out according to the relative content and OAV value for principal component analysis, and the comprehensive beef scoring equation was established to obtain the comprehensive scores of the three groups of beef. The research shows that: With the passage of ripening time, the pH value of beef showed an increasing trend, which may be due to the protein in the sample being decomposed under the action of endogenous enzymes and exogenous enzymes secreted by microorganisms, producing alkaline substances such as ammonia and amines, resulting in A significant increase in pH value. The color difference measurement revealed the change of meat quality color, and the L*, A* and B* values in all parts decreased. These changes are closely related to the formation of flavor. The results of principal component analysis showed that the overall flavor of fried beef was different under the same ripening time, different ripening temperature, humidity and wind speed. According to the analysis of volatile components and relative content in beef of the three groups, and the calculation of beef comprehensive scoring equation, the results showed that the blank group was < control group < experimental group. The experimental group (B) had the best flavor. This study revealed the dynamic changes of flavor compounds in meat ripening process under different ripening time and treatment methods, and the research results have important guiding significance for optimizing the ripening process of pan-fried meat and improving the quality of meat.
Recycling Solid-State Batteries: Challenges and Innovations for Sustainable Energy Solutions
Authors: Li Wen
Published: December 2024

The increasing use of electric vehicles (EVs) has led to a growing demand for battery technology, particularly for lithium-ion and solid-state batteries (SSBs). This paper investigates the complexities and potential strategies for recycling SSBs, with a focus on electrolyte materials such as oxides, sulphides, and polymers. Given that conventional recycling methods are limited in their applicability to the unique components of SSBs, specific processes like hydrometallurgical and dissolution techniques show promise, especially for sulphide electrolytes. For oxide-based SSBs, dry processing proves more suitable due to their material characteristics. Multi-stream recycling systems that allow tailored treatment for different battery types are identified as optimal, as they enhance material recovery, yield, and economic viability. The study also discusses legislative and manufacturing considerations, advocating for standardized battery forms, increased collection rates, and energy-efficient production processes to support widespread SSB adoption. Finally, the paper emphasizes that to achieve a sustainable, closed-loop recycling process, further research is needed to assess SSBs’ full life cycles and adapt facilities to process emerging battery materials, like lithium-sulfur and sodium-ion technologies.
A Review: Text Sentiment Analysis Methods
Authors: Zhou Mengtao
Published: December 2024

This paper conducts a literature review based on the Web of Science Core Collection and CNKI databases, employing concepts, methods, and techniques related to text sentiment analysis to construct search queries. It retrieves and analyzes relevant literature on text sentiment analysis from the past decade, performing a thematic analysis to summarize and categorize the mainstream methods used in sentiment analysis, and discusses their strengths and weaknesses. The analysis identifies three primary approaches to sentiment analysis: dictionary-based, machine learning-based, and deep learning-based methods. Each method has its merits, drawbacks, and specific application scenarios. Additionally, within deep learning, self-attention mechanisms and pre-trained models have become key research areas. The paper provides an overview of sentiment analysis methods from a broad technical perspective without delving into specific details within various fields or introducing and comparing cutting-edge methods, thus presenting some limitations. Finally, it summarizes the requirements and application scenarios for the three models and offers corresponding recommendations.
The Influence of Artificial Intelligence Assistance on Writing Capabilities of EFL Learners in Chinese Universities: A Study on Chongqing University of Technology as an Example
Authors: Huang Zhengning , Tan Bobi
Published: December 2024

With the rapid development of artificial intelligence (AI), its application in education has gradually attracted the attention of the relevant academic circles, especially in the field of language learning. However, the question of how AI can help EFL (English as a Foreign Language) learners, especially in Chinese colleges and universities, is still worth further research. Based on the semi-structured interview method and using Nvivo12 to encode the interview data, 16 EFL students from Chongqing University of Technology were interviewed to explore the influence of AI-assisted English writing on undergraduate EFL learners’ writing capabilities. Through conducting consistent data analysis of students of different majors in some dimensions, the study figures out that in the subjective evaluation and cognition, almost all students talk about the positive and negative effects of AI from various perspectives of AI itself and personal changes. However, there are some differences in the results of previous studies, including the focus on the feedback of EFL learners in developing countries.
Degradation of Oil in co-culture system of Alcanivorax borkumensis SK2 and Rhod coccus opacus B4
Authors: Shi Lang , Ye Junming
Published: December 2024

This study explores the bioremediation potential of petroleum contamination using a co-culture of Alcanivorax borkumensis SK2 and Rhod coccus opacus B4. The research investigates the effectiveness of these bacteria in degrading petroleum hydrocarbons, focusing on their growth and oil degradation capabilities in diesel and gasoline environments. Experimental results demonstrated that diesel, due to its long-chain hydrocarbons, supported more significant bacterial growth, especially for Rhod coccus opacus B4, than gasoline. The findings highlight the potential of using this co-culture for oil spill remediation, with tailored approaches for different oil compositions.
Analysis of the Combination of Chinese Medicine and Psychology
Authors: Liu Hongchao
Published: December 2024

With the development of medical model, the combination of psychology and traditional Chinese medicine (TCM) has gradually become an important way to improve the clinical therapeutic effect. Current research progress shows that psychological theories such as social cognitive theory and emotional theory have been widely applied in the field of TCM, especially in the field of psychological regulation and psychological intervention, it provides a new perspective and method for the improvement of curative effect of TCM. However, there are still some gaps in the current research, such as the evaluation of the applicability of psychological intervention in different cultural backgrounds, long-term follow-up and in-depth study of the mechanism of specific diseases This paper analyzes the application of psychology in the clinical practice of TCM, especially the influence of psychological adjustment and intervention on the curative effect of TCM, it is concluded that psychological intervention can effectively reduce the morbidity and improve the therapeutic effect of patients in a specific age group. The significance of the study is to provide clinical doctors with empirical support of psychological intervention and TCM, and provide a more comprehensive treatment plan for reference. The future research can focus on the evaluation of the applicability of psychological intervention in different cultural backgrounds, the long-term effect tracking and the in-depth study of the mechanism of specific diseases, so as to further improve the combination of psychology and TCM, promote the development and inheritance of Chinese medicine.
Overview of wind turbine pitch angle adjustment model
Authors: Wang Wenxu
Published: December 2024

Accurate adjustment of the wind turbine blade pitch angle is critical for optimizing energy capture, ensuring system stability, and avoiding excessive equipment fatigue. This paper reviews recent advances in control theory and methods for blade pitch angle regulation. Classical control theories such as PID control models and hysteresis compensation models have been widely used due to their simple structure and intuitive design; however, these methods exhibit limitations when dealing with nonlinearity and uncertainty. Modern control theories, including robust control models and fuzzy logic control models, enhance system robustness and adaptability, effectively improving the accuracy and stability of blade pitch angle regulation. Robust control models ensure stable operation under model uncertainties, while fuzzy logic control models, leveraging fuzzy set theory to mimic human decision-making, demonstrate good adaptability to complex environments. The application of intelligent algorithms in blade pitch angle regulation, such as neural network control models and genetic algorithm optimization models, shows great potential. Neural network control models, trained on large datasets, achieve precise control of nonlinear systems, and genetic algorithm optimization models, by simulating natural selection processes, significantly enhance control performance by finding globally optimal controller parameters. Despite higher design complexity, these intelligent algorithms significantly improve control performance, particularly in addressing the complex dynamics of wind turbines. In summary, research on blade pitch angle regulation models is transitioning from traditional control theories to modern control theories and intelligent algorithms, which contributes to enhanced power generation efficiency, stability, and reliability of wind turbines. Nevertheless, issues regarding real-time performance, explain ability, and model generalization of intelligent algorithms require further investigation. In the future, with advancements in deep learning, model predictive control, and other cutting-edge technologies, research on blade pitch angle regulation models will become more sophisticated, promising more efficient and intelligent wind turbine control.