bluuebunny/crossref_metadata_2025 huggingface dataset:
Applications of Graphene Composite Materials in 3D Printing
Authors: Yang Shanglin
Published: December 2024

With the advancement of technology, 3D printing has transformed manufacturing in various aspects and has received widespread attention and research over the past few years, being regarded as the beginning of a whole new era. However, current mainstream materials cannot meet the growing demand for lightweight, high-strength applications, leading to an increasing societal demand for new materials. One such material is graphene, which has attracted considerable attention due to its enormous specific surface area and outstanding mechanical properties. Graphene sheets are extremely thin, approximately one atom thick, but they lack ideal rheological properties and tend to aggregate and stack in solvents. To address this issue, graphene composite materials have emerged. The innovation of graphene composites in the field of 3D printing holds great promise. By refining manufacturing techniques, optimizing materials, and overcoming key limitations, graphene composites have the potential to revolutionize manufacturing, enabling the realization of high-performance devices in the future.
Research on Market Demand Analysis and Marketing Strategy Optimization of Luckin Coffee
Authors: Zhao Junxi
Published: December 2024

As modern life accelerates, people are increasingly prioritizing health and wellness. One innovative response to this trend is the rise of traditional Chinese medicine coffee, which blends the ancient wisdom of Chinese herbal remedies with contemporary coffee culture. This unique beverage not only caters to coffee lovers’ desire for rich flavor but also infuses the drink with the nourishing, health-promoting properties of traditional Chinese medicine. It is particularly appealing in today’s climate, where consumers are seeking ways to balance indulgence with health-conscious choices. In this context, Luckin Coffee, a brand known for its innovative approach to coffee culture in China, has a significant opportunity to capitalize on this growing trend. By launching a line of traditional Chinese medicine coffee, Luckin can appeal to a broad consumer base, particularly those interested in integrating wellness into their daily routines. This article analyzes Luckin’s current marketing strategy and provides targeted suggestions for the introduction of this new product. By focusing on the health benefits of Chinese herbs, creating distinct branding around wellness, and targeting specific market segments—such as health-conscious professionals and younger consumers—Luckin could successfully expand its market share. Through these strategic efforts, Luckin can further strengthen its position as an industry leader and innovator in China’s highly competitive coffee market.
Research of Field Effect Transistors and Their Applications
Authors: Lu Zhengyu
Published: December 2024

This article explores the evolution of Field Effect Transistor (FET) technology, from early Metal-Oxide-Semiconductor FETs to modern Gate-All-Around FETs. It explains FET’s fundamental principles, highlighting its importance in electronics due to high input resistance, low noise, and precise current control. The text traces the progression from planar MOS FETs to three-dimensional FinFETs, which addressed current leakage issues. As semiconductor manufacturing advanced to 3nm processes, new challenges led to GAA FET development, offering improved electrostatic control and further miniaturization. Emerging technologies like Quantum Well FETs and Graphene FETs are mentioned, promising higher performance and broader applications. The article emphasizes FETs’ crucial role in both analog and digital circuits, driving electronic device miniaturization. Looking ahead, it predicts continued breakthroughs in FET technology, stressing the need for innovative structures and materials to create smaller, faster transistors. These developments are expected to impact fields like AI, IoT, and quantum computing, shaping the future of electronics and computing.
Using the Characteristics of Existing Semiconductors to Predicted the Possible Direction of Future Semiconductor Development
Authors: Chen Sirui
Published: December 2024

In today’s scientific and technological development, the semiconductor industry is one of the key topics that can make its rapid development, whether it is a vehicle such as automobiles, aircraft or mobile phones, computers such as the daily need of electronic equipment, are inseparable from semiconductors. The research theme of this paper is to analyze the possible development direction of future semiconductors based on the characteristics of existing new semiconductors. The research method of this paper is to collect the structure and property data of GaN and SiC, and then compare these data with the previous Si semiconductors to find the reasons why GaN and SiC can replace the previous semiconductors. The study found that although GaN and SiC are respectively inferior to Si in some aspects, such as SiC’s lower electron mobility than Si, they can both work in environments that Si cannot withstand and are better than Si as a whole.
Verifying Stellar Black Hole Candidates Using Radial Velocity Method
Authors: Zhang Hanwen
Published: December 2024

This study gives a quick introduction to stellar black holes, explores the drawbacks of identifying the unseen companion only by analysing the X-ray emission from X-ray binaries, derives the radial velocity method, and tests it using two black hole candidates. The dark companion in A0620-00 has a radial velocity semi-amplitude of 459.613.91kms±−1 M⊙, and its computed mass is 3.180.16± M⊙, above the 3 M⊙ Tolman–Oppenheimer–Volkoff limit on neutron star mass. With the two recorded X-ray outbursts, its identity as a black hole is largely verified. On the other hand, the dark companion in LMC X-3 has a radial velocity semi-amplitude of 219.310.47±kms−1 and a computed mass of 6.980.56± M⊙, exceeding the upper mass limit of neutron star. Its powerful and very fluctuating X-ray emission is supported by observations, and thus helps to basically corroborate that it is indeed a black hole. In the search for black holes, the two methods presented to ascertain the nature of the dark companion are both essential and needed. After classifying the partners and adding them to the list of potential black hole candidates using X-ray emission analysis, the mass of the companion can be confirmed by calculating the star’s radial velocity. Nonetheless, identification errors are not uncommon; the computed mass varies within an unavoidable range, giving rise to disparate findings. Future research may compare the differences between black hole binaries and neutron star binaries and look for evidence to increase the veracity and trustworthiness of the results.
Enhancing Early Diabetes Risk Prediction: Optimization and Application of Logistic Regression Models
Authors: Luo Manwen
Published: December 2024

Diabetes has become a significant challenge in global public health, with its incidence steadily rising and increasingly affecting younger populations. Statistics indicate that over 422 million people worldwide are currently living with diabetes. This chronic metabolic disease severely impacts patients’ quality of life and imposes substantial economic pressure on healthcare systems. Therefore, timely identification of high-risk groups and the implementation of effective preventive strategies are crucial. However, the multifactorial nature of diabetes presents limitations in existing prediction methods. This study utilizes logistic regression analysis to highlight the key roles of factors such as gender, age, frequent urination, excessive thirst, fatigue, localized paralysis, genital fungal infections, emotional instability, and increased appetite in assessing diabetes risk. The model achieved prediction accuracies close to 93% in both the training and test sets. Additionally, the p-values for frequent urination, localized movement disorders, excessive drinking, mood fluctuations, weakness, genital fungal infections, and increased appetite were significantly below 0.01, strongly indicating a close association between these characteristics and the risk of developing diabetes. The findings of this study lay a critical foundation for the early warning system of diabetes and emphasize the need for future research to incorporate richer clinical data and innovative technologies to optimize prediction models.
Efficient Electromagnetic Shielding Properties and Applications of Two-dimensional Materials and Their Derivatives
Authors: Liang Yu , Xia Weiyi , Yang Pujie
Published: December 2024

With the rapid development of electronic devices and wireless communication technologies, the problem of electromagnetic interference has become increasingly serious, and the development of efficient, lightweight and corrosion-resistant electromagnetic shielding materials has become a current research hotspot. This paper reviews the latest research progress of two-dimensional materials and their derivatives in the field of electromagnetic shielding, focusing on the structural properties, preparation methods, and electromagnetic shielding performance of graphene and its composites, MXene (e.g., Ti3C2Tx ) and CrxTey ultrathin films. It is shown that graphene is an ideal filler for electromagnetic shielding by virtue of its excellent electrical conductivity, mechanical strength and thermal conductivity. MXene materials are capable of preparing lightweight, high-strength and long-life electromagnetic shielding materials due to their excellent electrical conductivity, multifunctionality and composite ability with other materials. CrxTey ultra-thin films exhibit unique magnetoelectric properties and high chemical stability while maintaining good electromagnetic shielding properties, making them suitable for use in harsh environments. This paper summarizes the prospects and challenges of the application of these materials in aerospace and electronic devices, and provides references and suggestions for future research directions.
A Novel Fall Detection Scheme Using Yolo-Pose with Efficient Attention and Lightweight Convolution
Authors: Wang Jianqi
Published: December 2024

Falling is a prominent external cause of severe injuries and death among the elderly. To this end, fall detection serves to mitigate these hazards. This paper outlines the need for fall detection systems and surveys the proposed methodologies, citing several disadvantages and advantages. In these respects, we propose a fall detection system based on a threshold classification approach and the improved YOLO-pose model, the latter involving attention mechanism-related enhancements and increased convolutions to enhance the accuracy and speed of pose estimation. This paper wants to evaluate this proposed addition to the original one. The paper tests the proposed system under multiple scenarios to demonstrate efficacy in practical applications within elder care environments. Finally, we evaluate the performance of our model and go through plans regarding this fall-detection system.
Research on Communication Strategies of Photography Works in Viral Videos—take the Uploader Xia Qiji Going to the Countryside version and the creative photographer Jordi as examples
Authors: Liang Hao
Published: December 2024

This study aims to discuss the communication strategies of photography works in viral videos. Guided by relevant literature, it analyzes the top ten most viewed photography work videos published by two Bilibili platform creators, the creative photographer Jordi and the “Xia Qiji Going to the Countryside” version, as samples. The study analyzes their communication patterns, characteristics, video release strategies, and the current status and trends of their communication. The study summarizes the successful experiences of video communication of photography works. The research finds that impactful visual experiences, artistic height and innovative thinking, as well as the depth of emotional resonance, are the keys to the successful dissemination of photography works in viral videos. The results of this study are expected to provide effective video marketing strategies and guidance for those who wish to enter the self-media industry related to photography.
Study on the Influencing Factors of Housing Price
Authors: OUYANG TINHOU
Published: December 2024

This study delves into the multifaceted dynamics of housing prices by applying a multiple linear regression model to assess the impact of various macroeconomic and social variables on housing price growth in the United States from 2010 to 2023. The research scrutinizes the influence of GDP growth, interest rates, unemployment rates, inflation, and population growth on the likelihood of housing price increases. The findings underscore the significant positive effects of economic growth and population expansion on housing prices, while concurrently highlighting the suppressive impact of rising interest rates and unemployment on the real estate market. Interestingly, the study reveals that inflation does not significantly influence housing prices over the studied period. These insights are pivotal for policymakers, investors, and homeowners, providing a nuanced understanding of the factors that can potentially sway housing market trends. The research concludes by emphasizing the complexity of housing market behavior and the importance of considering these economic indicators in strategic planning and investment decisions.
Research on the impact of mBridge on the existing cross-border trading system
Authors: Xu Jiaxin
Published: December 2024

The mBridge has attracted widespread attention from the international community. Currently, the number of mBridge observers, including several developed countries, has been expanded to 15, and more and more systemically important banks and large multinational corporations are also looking forward to participating in mBridge. mBridge’s network effect will undoubtedly continue to expand as the number of participants increases. Driven by the new international financial infrastructure, financial inclusion and financial support to the real economy will achieve breakthrough progress. The traditional cross-border payment system has a longer transaction chain, higher transaction costs, higher transaction risks and regulatory requirements, and higher participation thresholds. At the same time, mBridge shows stronger economic effects, security and stability effects, and inclusive effects. This paper enriches the systematic research on mBridge by summarizing the advantages and disadvantages of mBridge, exploring in-depth the key concerns of mBridge’s projects, pilot results, and room for progress, and summarizing and analyzing the project from the perspectives of its economic significance, innovative mechanisms, and effectiveness and challenges. However, based on the current problems of mBridge, it seems to take time to answer whether the system will fundamentally impact the dollar-dominated cross-border trade model.
Methods and Designs for Improving Operational Amplifier Performance
Authors: Kang Weilian
Published: December 2024

This paper reviews recent improvements in operational amplifier design, focusing on key performance aspects such as noise reduction, gain enhancement, gain-bandwidth product improvement, accuracy enhancement, slew rate improvement, and bandwidth increase. The article begins by explaining the fundamental principles of operational amplifiers, including open-loop gain, bandwidth, and noise sources. It then explores various design modifications aimed at enhancing specific characteristics. Five innovative designs are presented: a CMOS operational amplifier with high gain and output swing, a two-stage amplifier with improved unity gain bandwidth, a highly linear and high-gain operational amplifier using cross-coupled differential pairs and positive feedback, a high-gain rail-to-rail operational amplifier with folded cascade structure, and an operational transconductance amplifier with enhanced gain-bandwidth product and slew rate. Each design is described in terms of its unique features, circuit structure, and performance improvements. The paper highlights the continuous evolution of operational amplifier technology to meet the increasing demands of modern electronic applications across various fields.
Stock Market Price Analysis and Prediction of Financial Industry Based on the Time Series Method
Authors: Sun Ruining
Published: December 2024

With the increasing complexity of financial markets and the rapid growth of data volumes, accurately predicting stock prices has become crucial for ensuring market stability and guiding investment decisions. Although traditional time series analysis models have been widely applied, they still face research gaps in prediction accuracy due to the high nonlinearity and dynamics of the market. This paper introduces the application of time series analysis methods in stock market price prediction within the financial industry. This paper aims to enhance prediction accuracy and timeliness. The study provides a detailed overview of the advantages of both traditional models and modern deep learning techniques. The latter offers a new perspective for prediction through its capabilities in nonlinear modeling and capturing long-term dependencies. Representative stocks in the financial industry are selected for empirical analysis, demonstrating the performance of models that combine time series analysis with deep learning techniques in terms of prediction accuracy and stability. Meanwhile, the paper points out current research deficiencies, such as model optimization, improvement in generalization ability, and interdisciplinary integration, as future directions. With the backdrop of big data, it is hoped that through the rational integration of time series analysis and deep learning techniques, stronger support can be provided for financial market stability and scientific decision-making.
Analysis of the Principle, Applications and Improvements of Foldable Structure for Bridge Design
Authors: Ai Guanchen
Published: December 2024

As a matter of fact, the foldable structures have been widely adopted in these years. With this in mind, collapsible structures in Bridges are mainly studied and investigated in this research. The development history of foldable structure is discussed. And how folding structures have been gradually used in construction projects such as the famous London Bridge throughout history. Several common foldable structures and their principles include their advantages and disadvantages and the difficulty of implementation. It is also briefly stated in the article. The foldable structure of several representative bridge projects from 2022 to 2024 has also been demonstrated. The paper then describes the development direction of foldable structure in the future, the defects of foldable structure and the possible impact of environmental protection on the material selection of foldable structure. The purpose of this paper is to summarize the existing collapsible structures of Bridges with famous engineering projects in the past four years as examples. Combined with the social background, the future development direction of the structure is analyzed and predicted.
The Key Technological Developments of Non-Orthogonal Multiple Access (NOMA) in 5G Cellular Networks
Authors: Wei Jiaye
Published: December 2024

With the evolution of cellular networks, the shortage of spectrum resources remains a vital limitation for the technology. In the application of 5G, traditional Orthogonal Frequency Division Multiple Access (OFDMA) technology cannot meet the technical specifications of R17. NOMA technology introduces interference information to allow spectrum resource sharing between mass users. Therefore it improves the capacity and efficiency of the channel and is valued for its immense potential for 5G future development. This paper mainly focuses on NOMA technology. Firstly the paper introduces the technology’s working principles and design concepts, then respectively elaborates on the basic principle of three mainstream technical solutions under this approach. The three technologies are MUSA, SCMA, and PDMA. The paper pointed out that NOMA realizes a non-orthogonal multi-user shared spectrum by introducing interference to differentiate different users on the same frequency resources. NOMA possesses excellent scalability and potential for enhancement, offering improved performance compared to the previous generation. However, meanwhile, the technology also faces drawbacks such as a high bit error rate under high resource utilization and limited performance improvement under low utilization. Future development of NOMA technology should mainly focus on optimizing and simplifying the code to enhance various performances. The technology can also integrate with other mature technologies for broader practical implementation. In summary, the current state of NOMA development shows great potential but faces challenges such as limited performance improvement and high bit error rates. The paper comes up with practical suggestions for optimizing NOMA to achieve mass 5G applications.
The response to the aggravate impact of DOM caused by the increase in human activities on natural water body
Authors: Xu Jiawei
Published: December 2024

The dissolved organic matter (DOM) act as an important role of the whole aquatic ecosystem can provide not only the nutrients to the water body but also regard as an material cycle. The DOM can originates from numerous sources, including terrestrial source from oil and the allochthonous source which increase because of the human activities. The excess DON in water will cause the overdose nutrients in water in turn lead to the growth of the algae blooms. This will affect the oxygen level in the water body which is harmful to aquatic life. Finding the proper treatment to remove this DOM is essential for managing water quality, ensuring water safety. Although there are numerous existing treatments to remove this excess DOM in water, the high-cost of the method and the scale it can be used is still a limitation. The new method like the usage of the nanomaterial and the graphene seems a better way.
Design of Low Power Integrated Circuits
Authors: Wang Luoyi
Published: December 2024

The rapid development of integrated circuit technology has made the design of low-power circuits a major concern in this field. Power consumption limits the prolonged operation of high-performance computer systems, affects system performance and heat dissipation, and shortens the operating lifespan of portable devices. The fundamental causes of power consumption, including static, short-circuit, and dynamic power consumption, are thoroughly examined in this work, which focuses on the design of low-power digital integrated circuits. Power and voltage designs, DVFS (dynamic voltage and frequency scaling), and closed-loop clocking are some of the tactics for implementing low-power technologies that are also discussed. In addition, new ultra-low power designs such as field-effect transistors (FETs), semiconductor organic integrated circuits (SOIs), and tunneling field effect transistors (TFETs) are shown, and their usefulness is shown by way of an example of a Bluetooth 5.0 system-on-chip (SoC) application. Future developments in low-power design will guarantee ongoing innovation in high-performance electronic systems by optimizing device layouts and making use of new materials.
The Analysis and Applications of Deployable Structure
Authors: Wang Haoze
Published: December 2024

As a matter of fact, because of its unique portability and flexibility, the deployable structure can meet the needs of many fields of work, and has been widely used in various industries especially in recent years. With this in mind, this research will introduce the background of deployable structure, systematically introduce the basic principle as well as practical application of deployable structure. Based on the evaluations, the working principle of deployable structure represented by scissor structure, origami structure and scissor origami composite and how to work in practical applications are analyzed. According to the existing deployable structure, the limitations of deployable structure and the future development direction of deployable structure are pointed out and demonstrated. In this paper, the basic working principle and practical application of deployable structures are described by classifying deployable structures, and the types of existing deployable structures are summarized. Overall, these results pave a path for further exploration of deployable structure developments.
Video Game and Its Effect on Mental Health
Authors: Lin Yanshan
Published: December 2024

The rapid growth of the video gaming community over the past decades has brought into sharp focus its impact on individual psychological health, particularly among adolescents. This paper aims to explore the positive and negative effects of video games on mental health and proposes constructive solutions for developers to foster the development of a healthy online gaming community. Research indicates that video games have the potential to enhance cognitive abilities, strengthen social connections, and provide emotional support. However, they also pose risks such as gaming addiction, sleep disturbances, and social impairments. To address these challenges, it is recommended that developers implement measures including the design of healthy gaming mechanisms, the establishment of positive community guidelines, and collaboration with mental health professionals. Through these efforts, game developers, publishers, and the broader gaming community can work together to create a gaming environment that is conducive to the psychological well-being of users, forging a better gaming future for all of humanity.
Sponge City Construction Based on Comprehensive Watershed Management
Authors: Wang Yumeng
Published: December 2024

With the development of society, water problems caused by traditional urbanization have become increasingly serious. Sponge urban construction has begun to emerge, based on the sustainable concept, to improve the urban water system. In the urban renovation, however, designers and builders often do not consider the scope of the watershed comprehensively, which is easy to cause certain harm to the upstream and downstream cities. Therefore, it is significant to carry out innovative design of sponge city based on comprehensive watershed management. Based on the overall view of the basin system, this study puts forward improvement measures for the construction of sponge city, and uses SWMM model to simulate the flow and other parameters, and finally analyzes the benefits. The results show that: (1) The construction of the new sponge city can improve the drainage status of the city and the basin. The peak displacement effect can reach 20%, the peak reduction is about 65%, and the slope of the drainage curve slows down. (2) Implementing new measures of sponge city construction can improve the level of system ecology. The system ecological coefficient is increased from 0.65 to 0.78, the efficiency improvement rate can reach 20%, and the water quality improvement rate can reach 14%. This study provides some measures and ideas for the regional coordinated development of sponge city construction, which is conducive to sustainable development.
Feature Analysis with K-Nearest Neighbor and Random Forest
Authors: Deng Liang
Published: December 2024

The performance of a machine learning algorithm depends on the algorithm’s complexity, and the feature representation of data is another critical factor. A standard feature representation method is based on expert prior knowledge, which transforms data into discrete feature representation, and each attribute represents the vital information in prior knowledge for the task. However, in practical application, the prior knowledge and the actual performance of the model are often contradictory, so it is essential to identify the features that can improve the machine learning model in machine learning, data mining and statistical modelling. Specifically, feature selection aims to identify and delete irrelevant or redundant features in the data while retaining those features that contribute the most to the model’s prediction performance. By removing irrelevant or noisy features, feature analysis can improve the model’s accuracy, generalization ability and robustness. This paper discusses the influence of feature selection on the performance of K nearest neighbour (KNN) and random forest (RF) algorithms in machine learning applications. The model’s accuracy change is observed and analysed by deleting the features in the data set one by one. Then, the feature importance ranking provided by the random forest algorithm is compared to reveal their correlation and difference in feature selection. The experimental results show that although the two methods differ in feature evaluation, they can effectively guide feature optimization and improve model performance.
The Influence of the New Wave on the Development of Cinema: A Case Study of French Genre Cinema
Authors: Shi Xinyan
Published: December 2024

The New Wave movement has received extensive attention, but its influence on the film industry is still insufficient. This paper analyzes the influences and differences between French films before and after the New Wave movement. This paper also analyzes that the New Wave movement has a profound impact and far-reaching significance on the film industry and has important research and analysis value. It includes the New Wave as a turning point in the history of Western cinema, Under its influence, the young directors of the time, French cinema formed a unique artistic character and filmed representative works of art. Particularly point out the characteristics of the New Wave movement, such as the increase in the freedom of filmmaking and the innovation of the lens language. Based on this, this paper puts forward the following suggestions: focus on the analysis of the influence of French cinema in the context of the New Wave movement and give examples of changes and advantages of specific shooting techniques.
“Belief Updating under Uncertainty: Probabilistic Epistemology and Its Limitations”
Authors: Shao Kangrui
Published: December 2024

Probabilistic epistemology, especially the Bayesian model, provides a dynamically updated framework for the construction of knowledge under uncertainty. Starting from the shortcomings of the traditional view of knowledge, this paper analyzes how probabilistic theory can cope with uncertainty by adjusting the strength of beliefs, so as to gradually approach the truth. Bayesian epistemology has shown its unique application potential in the fields of science, medicine and economic forecasting. Especially, Bayesian epistemology can enhance rational belief in dynamic environment through the update mechanism of conditional probability. Although Bayesian epistemology has many advantages, it has obvious limitations in its application to non-empirical fields such as ethics and metaphysics. This paper also explores the importance of Bayesianism in knowledge construction and compares it with other epistemological models such as evidentialism and dependability. This paper argues that although Bayesianism provides flexible instrumental support for knowledge construction, it still has great limitations in dealing with fuzzy and non-quantitative knowledge and ethical decision-making, which limits its application to broader epistemological problems. At the same time, it is pointed out that probabilistic epistemology can be combined with other methods to expand its application scope.
Dysregulated Lipid Metabolism in Non-alcoholic Fatty Liver Disease
Authors: Zeng Jiasheng
Published: December 2024

Non-alcoholic fatty liver disease (NAFLD) is a global health concern and a clinicopathological syndrome characterized by excessive fat deposition in hepatocytes. It develops in the absence of alcohol intake or other established liver-damaging factors, encompassing a spectrum from simple hepatic steatosis to non-alcoholic steatohepatitis (NASH), which may or may not progress to cirrhosis. Abnormal lipid metabolism plays a central role in NAFLD progression, driven by genetic mutations, dysregulation of transcription factors, and altered lipid species. This review introduces key genetic factors, such as TM6SF2, PNPLA3, and MBOAT7, which contribute to lipid accumulation and liver inflammation, and discusses transcription factors like SREBP1c and PPARγ that promote lipogenesis, exacerbating hepatic fat buildup. This review also explores Lipid species like triglycerides, free fatty acids, and ceramides act as signaling molecules, influencing metabolic pathways and contributing to insulin resistance, inflammation, and fibrosis. Additionally, this review discusses signaling pathways such as mTOR and AMPK modulate lipid metabolism and impact NAFLD progression. Understanding these molecular mechanisms offers potential therapeutic targets to mitigate the metabolic disturbances in NAFLD and develop effective treatments for this increasingly prevalent disease.
Current Progress and Prospects in Cancer Immunotherapies
Authors: Zheng Yihe
Published: December 2024

Cancer is still among the leading causes of death around the world and represents a formidable challenge for both researchers and clinicians. Despite the effectiveness in specific contexts of traditional modalities of treatment, including surgery, radiation, and chemotherapy, they generally lack specificity and long-term efficacy. Currently, immunotherapy has dramatically reshaped the landscape of cancer treatment, providing new hope both for patients and health caregivers. It utilizes the body in the recognition and battle of cancer cells through the use of the immune system, hence offering better-targeted and durable responses. Assorted approaches include checkpoint inhibitors, CAR T-cell therapy, and cancer vaccines have shown promising development and together reflect a shift toward personalized medicine in oncology. This review outlines recent advances in cancer immunotherapies, including breakthroughs and ongoing research, and the challenges remaining for further improvements in patient outcomes and effective cancer treatment. The topic of mechanisms, successes, and future directions concerning these therapies will form the bedrock upon which our assertion stands: the full potential for immunotherapy to revolutionize the paradigm of care in cancer.
The Impact of Marketing Strategy on Luxury Image and Consumer Loyalty: An Example of Hermes’ Marketing Activities in China from 2023 to 2024
Authors: Zhang Xiwen
Published: December 2024

As a top luxury brand, Hermes’ unique marketing approach in China, including adding and refurbishment physical stores, online marketing and strict control of distribution channels, has helped to build brand image and increase customer loyalty. This study utilizes a mixed research methodology, including a questionnaire survey of 46 Hermes consumers and in-depth interviews with two Hermes consumers, to explore the reasons behind Hermes’ unique marketing approach in China since 2023, its significance and its impact on brand image building as well as on consumer loyalty. The results of the survey show that 52.17% of consumers believe that Hermes is high-end. Meanwhile, 78.26% of consumers believe that they will continue to buy Hermes even if its prices are higher than its competitors, which shows that Hermes’ unique marketing strategy in China has achieved positive results in building brand image and increasing customer loyalty. The insights provided offer valuable implications for luxury brands operating in competitive markets like China.
The effects of HHLA2 overexpression in MCF-7 breast cancer cells on HHLA2 protein glycosylation, and on MCF-7 cell viability and apoptosis
Authors: Tao Yvting
Published: December 2024

Purpose: Since HHLA2 protein is overexpressed in BC tumors and its glycosylation promotes immune system escape and accelerates tumor progression, this paper aimed to investigate whether HHLA2 protein induces its glycosylation and improves the survival and reduces apoptosis of MCF-7 breast cancer cells. This paper hopes that this inquiry will lead to the development of new therapies to control the overexpressed HHLA2 protein in solid tumors, particularly breast cancer, to inhibit breast cancer progression. Methods: Measure glycosylation by mass shift on western blot, measure viability by MTT assay, and apoptosis by Annexin V/PI FACs. Positive control is Taxol, negative control is the blank control group. Possible results: There are four possible outcomes: (1) HHLA2 overexpression promotes self-glycosylation, increases MCF-7 breast cancer cell survival, and reduces apoptosis. (2) HHLA2 overexpression does not promote self-glycosylation but increases MCF-7 breast cancer cell survival and reduces apoptosis. (3) HHLA2 overexpression does not promote self-glycosylation and does not increase MCF-7 breast cancer cell survival, or reduce apoptosis. (4) HHLA2 overexpression promotes self-glycosylation but does not increase MCF-7 breast cancer cell survival and reduce apoptosis. Conclusion: The observed phenomenon will be useful for future immunotherapy against HHLA2 for breast cancer.
Application Progress and Optimization of Probiotics and Prebiotics in Chronic Diseases
Authors: Qiu Zijian
Published: December 2024

The increasing prevalence of chronic illnesses can be attributed to modern unhealthy lifestyle habits, sparking significant interest in the role of probiotics in supporting gut health. Research has demonstrated the potential of probiotics to balance gut microbiota, leading to their application in functional foods. However, challenges remain, including ensuring the probiotics’ survival through the gastrointestinal tract and their absorption once they reach the gut. This article explores the relationship between probiotics and the human gut microbiome, with a focus on how dietary habits influence gut health. Furthermore, it discusses the mutagenesis of Lactobacillus plantarum and the application of these mutant probiotics in the treatment of hyperuricemia (HUA) and gout. A phenol high-throughput screening method is presented for identifying mutant probiotics, offering insights into more effective probiotic mutagenesis and screening techniques. Future research should aim to verify the success of probiotic mutations and focus on improving methodologies for probiotic development and delivery.
A Comparison of MBTI and Big Five Personality
Authors: Ma Xinyu
Published: December 2024

This article explores the two most common measurements in the world today, the Myers-Briggs Type Indicator (MBTI) and the Big Five Personality (Five-Factor Model). Furthermore, the article casts a critical eye on the MBTI, dissecting its methodology, reliability, and validity. It highlights measurements’ strengths, such as its ability to offer a framework for self-understanding and its user-friendly nature, while also addressing the common criticisms levied against it. These include concerns about its scientific rigor, the potential for misinterpretation of results, and the static nature of the personality types it proposes. The discussion then pivots to the Big Five Personality Inventory, exploring its origins and the evolution of its use in contemporary psychological research and practice. The overarching goal of this paragraph is to present a comprehensive study that not only illuminates the advantages and disadvantages of these personality assessments but also opens the door to considering alternative psychological instruments. By doing so, the article aims to provide readers with a broader perspective on how these tools can be utilized to enhance various aspects of life, including academic study, the recruitment process in organizations, and the promotion of mental well-being. This holistic approach encourages a more informed selection of psychological resources, ultimately leading to more effective strategies in these areas.
Exploring Social Engagement in Live Commerce--Take Douyin as an Example
Authors: Han Yuzhe
Published: December 2024

China’s live streaming industry is gradually approaching maturity, becoming a major competitive instrument in the e-commerce industry. Therefore, this article will explore social interaction in live commerce and future interaction in live streaming. This article describes the background and current development of the live-streaming industry in China. This article explores interactivity in live commerce using the Douyin platform as an example. Explored the interactive features of live commerce on the Douyin platform from the streamer and audience to audience perspectives. Using the frameworks of symbolic interactionism and Internet expansion, the social interactions that live commerce brings to audiences are researched. This article also emphasizes the importance of live interaction for the benefit of live commerce and the importance of live content. Subsequently, the impact of this social interaction on the audience’s decision-making process is explored. Furthermore, the article also explores the misinformation, data privacy, and potential brand crisis that can be caused by live commerce, and it emphasizes the emotional connection between streamers and audiences and the building of community as the future of live commerce.
The Applications of Derivative and Differential
Authors: Nie Zilin
Published: December 2024

Differential and derivative are core concepts in analytical mathematics and are closely related. To be brief, the derivative refers to the rate of change of a function near a point, while the differential describes the actual change in the value of the function under the action of the derivative. Together, they form the basis of calculus. Differential is an application of the concept of derivative, specifically the response to a small change in the function. The derivative is the slope of the local linear approximation, while the differential is the increment of the function value under this linear approximation. This paper mainly discusses the topic about derivative and differential. To illustrate them clearly, this paper will introduce step by step, from their concept to examples, including definition, properties and geometric meaning. Specifically, the article particularly emphasizes applications in sequence problems and approximate calculations. These applications are of great significance in mathematics, physics, engineering, and economics.
Research on Social Media’s Impact on Adolescent Mental Health
Authors: Zhou Ruoyu
Published: December 2024

The research looked into how teenagers used of social media and how it influenced their mental health. The research examined the ways in which teenagers engaged with social media and the effects it had on their psychological well-being. By analyzing social media interaction data from 103 individuals between the ages of 21 and 30, it was discovered that the quantity of likes they received daily had a substantial effect on the core emotions of these young adults. The results, which were obtained using a logistic regression model, demonstrated that the teens’ negative emotions were more evident the more time they spent on social media and the more likes they received. In addition, studies have found a link between social media use and depression and anxiety in teens. In addition, studies have linked social media use by young people this decade to worry and sadness. Despite the small sample size, these findings are important for understanding the impact of social media on young people’s mental health. They advise parents, educators and social media companies to focus on the social media use patterns of young users and take steps to reduce potential risks to their wellbeing. These findings have raised awareness of the impact of social media conversations on young people’s emotional wellbeing and have provided the basis for the development of effective mental health intervention techniques.
The Communication Deviation and Optimization of Brand Image in Social Media Environment: A Case Study of Lululemon
Authors: Xiao Mingya , Zhou Ningzi
Published: December 2024

With the rapid development of social networks, many brands are using the characteristics of social media platforms for brand promotion to attract target audiences, and brands are gradually entering various social media platforms. This study is based on Shannon-Weaver model of communication and explores the message’s communication lines on social media platforms. At the same time, explore the influence of the convergence and difference of brand content on the social media platform on noise, and how to improve the publicity effect of the brand. The hypothesis proposed in this paper is that in the current social media environment, brand image communication tends to be consistent across different platforms, and the convergence of social media platforms will reduce the significant differences in brand communication. Using analytical vocabulary identification, Semantic Analysis of Pre-Trained Models, Statistical Methods, and Hypothesis Testing, these research methods were explored to find that the resulting hypotheses were valid and analysed that convergence and divergence between social media platforms is a dialectical unity rather than an opposition.
Analysis of the Application of Bioinformatics-Based Neuroregulation Technology in Brain Science Research
Authors: Yang Junbo
Published: December 2024

As a pivotal branch of interdisciplinary science, bioinformatics plays a critical role in neuroregulation technology—a cutting-edge field within brain science. This technology holds great promise for treating neurological disorders, enhancing cognitive functions, and managing mental health. This article reviews the applications of bioinformatics in neuroregulation, analyzes its significance and challenges, and discusses prospects for future advancements. The article traces the development and key types of neuroregulation technology, focusing on bioinformatics’ role in big data processing, biosignal analysis, brain network modeling, and personalized medical interventions. It also presents clinical and basic research case studies. Furthermore, it addresses current issues and challenges, such as data standardization, privacy concerns, and the complexity of system simulations, while proposing potential solutions. Finally, the article explores future challenges and directions as technology advances, underscoring the need for interdisciplinary collaboration, innovation in research methodologies, and careful consideration of ethical and legal implications.
Content Analysis of Self-reported Cyberbullying Videos on Chinese Video Websites
Authors: Peng Yubo
Published: December 2024

With the rapid expansion of the scale of China’s internet industry, the related issue of cyberbullying has become increasingly rampant. In recent years, it has even caused a series of serious public opinion events and begun to be unfavorable to the stable development of Chinese society. This study mainly explores the operation mechanism and laws of “cyberbullying” events in the Chinese internet environment through video analysis. This study shows that “cyberbullying” events in the Chinese internet environment are related to cultural background and era changes. At the same time, whether a “cyberbullying” event occurs is jointly determined by a series of factors including management systems, and it cannot be directly caused by a certain link. In addition, as research carried out through video analysis similar to interviews, this study also presents discussions and research on the behavior patterns and characteristics of the three groups of “bullying initiators” “bullying participants” and “bullying victims”.