bluuebunny/crossref_metadata_2025 huggingface dataset:
The Evolution and Mainstreaming of Subcultures:Challenges and the Pursuit of Harmonious Coexistence
Authors: Cai Xi
Published: October 2024

With the rise of consumer culture, the diversification of personal identity needs, and the strong influence of social media, niche subcultures are gradually developing towards mass popularization. This article delineates the definitions of subculture articulated by scholars across different eras, exploring subculture’s true essence and its gradual evolution into a “cultural mosaic” and penetration into mainstream culture. Combined with the statistics on the number of views of subculture content on social media, this paper reveals the widespread popularity of contemporary subculture. However, further investigation reveals various challenges and issues subcultures face, both internal and external, in mainstreaming, including social stereotypes, legal restrictions, conflicts with mainstream ideologies, and the inherent exclusivity of subcultures. Moreover, mainstreaming subcultures has introduced a series of negative effects, such as cultural alienation, the loss of original spirit and values due to commercialization, and the dilution and erosion of cultural essence. These phenomena pose a potential threat to the uniqueness of subcultures.
LPS Priming Before Plaque Deposition Activates the Rho/ROCK Pathway to Regulate Microglial M1/M2 Polarization Through the NF-κB Pathway in the 5xFAD Mouse Model of Alzheimer’s Disease
Authors: Yin Tete
Published: October 2024

Alzheimer’s Disease is a neurodegenerative disease which is characterized by continuous neuroinflammation, beta-amyloid plaques (Aβ) and tau clusters. Microglia is a type of immune cell that resides in the brain and plays a crucial role in disease progression and neuroprotection based on its extent of polarization. This research investigated the effect on microglial polarization caused by LPS priming before plaque deposition through the Rho/ROCK pathway and the NF-κB pathway in a 5xFAD mouse model. It is assumed that LPS priming will activate the Rho/ROCK pathway and then regulate the NF-κB pathway, causing microglial polarization from M1 (pro-inflammatory state) to M2 (inflammatory state). To achieve this goal, the techniques applied include immunohistochemistry, flow cytometry, Western blotting, and RT-qPCR. The expected result is the observation that LPS priming increased Rho/ROCK activation, inhibited the NF-κB pathway, and promoted M2 polarization. This observation indicates the complex relationship between systemic and neuroinflammatory pathways in AD. Moreover, it provides potential therapeutic approaches targeting Rho/ROCK and NF-κB pathways to reduce neuroinflammation and enhance neuroprotection.
Optimized application and potential impact of blockchain technology in carbon trading
Authors: Zhou Wenhan
Published: October 2024

The integration of blockchain technology with carbon trading opens up new avenues for carbon market optimization. The use of blockchain technology to address climate change is the main topic of this research. Using case studies as a basis, it examines how blockchain technology might help optimize the carbon trading market. It is discovered that the drawbacks and inefficiencies of the carbon trading market can be technically addressed by the current blockchain technology. Blockchain technology has been instrumental in increasing the market’s transparency and streamlining the trading procedure for carbon offsets. Green finance and blockchain technology work together to lessen “greenwashing” behavior, and their cooperation enhances the carbon trading market. This research offers a valuable resource for the enhancement and novelty of carbon trading methods, the growth of environmentally conscious financial enterprises, and the incorporation of the carbon market through the utilization of blockchain technology.
Application of Electrical Stimulation in BCI in Patients with Alzheimer’s Disease
Authors: Wang Yufu
Published: October 2024

This paper systematically discusses the application prospect of neuromodulation technology in the treatment of Alzheimer’s disease (AD). It focuses on the potential role of various techniques, including transcutaneous electrical nerve stimulation (TENS), deep brain stimulation (DBS), repeated transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS), in improving the cognitive function of AD patients. With the aggravation of the global aging problem, the incidence of AD is increasing year by year, and the existing treatment methods are difficult to effectively prevent the progress of the disease. Studies have shown that technologies such as TENS and DBS can improve patients’ memory and cognitive function to some extent. For example, a study by Smith et al. (2020) found that DBS applied to the fornix resulted in a 20% improvement in memory scores over a 6-month period. However, due to the small sample size and inconsistent experimental design, the universality and reliability of the existing research results are still limited. Future studies should aim for larger, more diverse sample sizes and standardized experimental protocols to enhance the robustness of findings. This article reviews the latest research results of these neuromodulation techniques, emphasizing the importance of optimizing treatment parameters and expanding the scale of clinical trials. The paper is structured as follows: first, this paper discusses each neuromodulation technique in detail; then, this paper analyzes their potential benefits and limitations; finally, this paper provides recommendations for future research directions.
Design and Implementation of Digital Integrated Circuit Based CPU
Authors: Zhang Ruikai
Published: October 2024

This paper presents a simplified 16-bit CPU design and its implementation using digital integrated circuits developed with Verilog hardware description language, while emphasizing simulation through the EDA tool. This design puts more emphasis on the critical roles played by the data path and the control unit, executing key instructions including arithmetic operations such as addition, subtraction, bitwise logic, and conditional jumps. This structurally modular CPU is both functioning and stable in nature, allowing support for future enhancements and enhancements as well, thereby serving as an effective model towards an understanding of the principles of CPU design. The execution of these basic instructions puts the core of the CPU under test and reaffirms its proper operation in respect of the detailed instruction set, while its extensibility design confirms further improvement possibilities for future complex instructions as well as finite-state machine optimization for the control unit. The present work not only proves the possibility of creating a fully working CPU, using readily available bare minimum resources to implement a prototype, but is also a breakthrough in future research with CPU architecture. The obtained results will shed light on CPU functionality optimization and extension, being the ground for building more powerful and effective processors in the future.
3D Printing with Self-Healing Materials and Applications
Authors: Ding Ruoxuan
Published: October 2024

3D printing also called as the additive manufacturing. It is revolutionizing various industries by enabling the production of complex objects directly from digital models. This technology offers significant advantages over traditional manufacturing methods. Especially in reducing material waste and increased design flexibility. The range of 3D printing application contains healthcare to aerospace, reflecting its growing importance in modern society. Recently, 3D printing advancements have introduced in self-healing (SH) materials, it saved limitations related to the durability and repairability of printed objects. SH materials are categorized into external and internal systems. External SH materials use embedded healing agents that repair damage through chemical reactions, while internal systems rely on dynamic bonding within the material itself. This innovation not only extends the functional life of 3D printed items but also supports trends in mass customization and sustainability. This paper explores the mechanisms, types, and applications of SH materials in 3D printing, and mainly focus on their potential to enhance product longevity and functionality across medical, construction, and consumer goods sectors.
Business Success in the Long-Term: A Case Study of Douyin
Authors: Guo Ziming (David)
Published: October 2024

Douyin is at the center of China’s short-video social media landscape through its intuitive offerings and innovative ideas. Through its continued focus in these core areas, this firm has the potential of further maintaining its position and further increasing its competitive advantage. In this essay, a comprehensive exploration into the current state of Douyin, including its current strategy is explored. The goal is to understand the key elements that make Douyin successful in a highly competitive market and to see whether these efforts are enough or more needs to be done. Observations show that Douyin is successful due to its comprehensive AI-driven content recommendation algorithm, e-commerce integration, and adaptation to the Chinese regulatory environment. Evidently, these advantage factors are not enough to ensure Douyin’s success in the long run, which is why a close assessment into the firm and its competitors is presented as premises for strategic recommendations that will ascertain its market dominance even in the event of new competitors.
The Main Groups of Photosynthetic Bacteria and Photosynthetic Pigments
Authors: Xiong Huizhong
Published: October 2024

Photosynthesis is one of the most important process on today’s Earth, which provides most of the energy source of the Earth’s biosphere, changed and shaped the atmosphere and oceans in early days of the Earth. Photosynthetic bacteria are a kind of prokaryotic microorganism that can assimilate or dissimilate by using light energy as an energy source and organic or inorganic matter as the electron donor for assimilation or heterocytosis, which can be divided into Cyanobacteria, Purple bacteria (PB), Green bacteria (GB), Aerobic anoxygenic photosynthesis bacteria (AAPB) and others. In this paper, the literature on photosynthetic bacteria in recent years is reviewed and combined with the latest astrobiology research, revealing the photosynthetic pigment composition of different photosynthetic bacteria. Cyanobacteria contain Chlorophyll (Chl) for the absorption and transfer of light energy including Chl a, CHl b, Chl d, carotenoids and phycobilins, of which chlorophyll b and chlorophyll d are not contained in all types of cyanobacteria, PB contain BChl a or BChl b,  GSB contains photopigments BChl a, Chl a, and BChl c, d, or e, GNSB contains photopigments BChl a and/or BChl c, and AAPB mainly contain BChl a. Understanding how Photosynthesis evolves, what kinds of photosynthetic pigments and how do it function could provide a new insight into the origins of life and are beneficial to detection of extraterrestrial life and potential habitable planets.
Research on the Mechanism of Establishing National Identity: Based on the Analysis of Taiwan’s History from 1895 to 2000
Authors: Cheng Can
Published: October 2024

Taiwan’s autonomy and status in the People’s Republic of China (PRC) have always been contentious. The visits of numerous Western officials and Taiwan’s steadfast assertion of its national identity have introduced uncertainties in the security of the Indo-Pacific region. Exploring the development of Taiwan’s self-awareness regarding its national identity is crucial for understanding how Taiwan navigates its position in the PRC, paving the way for a practical approach for the mainland to improve cross-strait relations. With a deep analysis of factors contributing to deteriorating Taiwan’s identity recognition, the article will continue to examine Taiwan’s history from 1895 to 2000 and the evolution of its national identity. It concludes that historical factors significantly shape Taiwan’s identity and considers how the mainland can enhance its relationship with Taiwan’s utilizing mechanisms. To promote a Chinese identity in Taiwan, the article suggests strategies such as fostering economic cooperation under the One-China principle, facilitating youth education exchanges, and acknowledging cultural and national identity.
The formation of tea culture in British
Authors: Xia Lanxuan
Published: October 2024

When foreign people think of British culture nowadays, they can easily picture gentlemen and ladies elegantly dressed, surrounded by fine furniture and utensils, enjoying afternoon tea. The unique tea culture has already become a strong impression of Britain. This article explores the positioning of tea within the map of cultural differentiation, highlighting its status as a significant symbol of British culture, despite Britain not being its country of origin. The success of tea arose from the collision of Eastern and Western civilizations, with Chinese tea being introduced to Britain by Dutch merchant ships in the 17th century, marking its economic rise. The paper raises key questions about how tea transformed from an exotic product into a British cultural icon and whether the promotion of tea culture in Britain is mere imitation or rooted in local traditions. Additionally, it reviews research by Chinese and foreign scholars on British tea culture, focusing on the origins of tea culture in China, including the history of tea cultivation and consumption, and the evolution of tea culture in various dynasties. The second half describes in detail the thriving process of tea trade in Britain since the 17th century, the background of tea culture breaking the gender status and other restrictions in British society, and the different connotations and influences of tea culture in the British upper society and working class.
Research Progress on Essential Trace Elements Associated with Osteoporosis
Authors: Wang Xunwei
Published: October 2024

Osteoporosis (OP) is a common skeletal disease affecting millions of people worldwide. The relationship between trace elements and OP has garnered widespread attention in recent years. This study conducts a literature review to comprehensively analyze the mechanisms of iron, copper, and magnesium in OP. The research encompasses multiple fields, including in vitro experiments, in vivo experiments, case-control studies, cross-sectional studies, and materials science, to reveal the impact of trace elements on the occurrence and development of osteoporosis.Iron accumulation promotes the development of OP by causing a reduction in osteoblast activity. Ferroptosis induces a decline in the function of osteoblasts, leading to reduced bone formation functionality; copper intake is positively correlated with bone density to a certain extent, and copper ions aid in the repair and regeneration of bone tissue. Copper-induced cell death may participate in the pathogenesis of OP by affecting the mitochondrial function and the immune response; magnesium ions promote bone formation, and the intake of magnesium is related to bone quality. Magnesium-containing materials show potential in the treatment of osteoporosis. Trace elements such as iron, copper, and magnesium are closely related to the occurrence and development of OP. Future research needs to further explore the specific mechanisms of these elements to develop new treatment strategies for OP.
A Brief Analysis of Internal Control Strategies for Financial Risks in Listed Companies
Authors: Song Jialin
Published: October 2024

In an era of intensifying competition, a more complex socio-economic environment, and rapid technological advancement, financial risks throughout all economic activities of enterprises have become a critical concern. These risks affect not only the stability of individual businesses and financial markets but also the economic security of countries. Effective financial risk control requires a systematic approach and the integration of efforts across various functional departments to ensure stable and sustainable development of enterprises. This paper provides recommendations on managing financial and operational risks based on internal control theories, China’s regulatory norms, and perspectives from economics and management.
Copyright Issues in the Artworks Generated by Artificial Intelligence
Authors: Feng Zifan
Published: October 2024

This article explores the upcoming issues and legal challenges in copyright law brought by AI-generated artworks. As AI technologies improve, the creation of art by AI has raised problems regarding authorship, originality, and the application of existing copyright frameworks. By analyzing cases happened in different region about copyright in AI-generated art, it is discovered that different attitudes toward AI-generated artworks under current copyright framework. While the United States show a relatively conservative stance, insisting that the role of author must be human, other countries such as Can dada and China began to admit the authorship of AI, accepting AI as a way to achieve creativity and originality. Based on the existing situation, the article provided possible solutions, aiming to protect copyright of creative artworks generated by AI and accept AI as artistic tool that could increase efficiency and creativity.
An Introduction to Lagrange Multipliers: Theory and Applications in Economics
Authors: Zhai Yuheng
Published: October 2024

The purpose of this paper is to explore the basic applications of the Lagrange multiplier method in economics and to help beginners build their understanding of this mathematical tool. Tesla Inc. is used as a case study to examine how it maximizes profits by optimizing pricing and marketing expenses under given market conditions and constraints. The context of the study includes the importance of maintaining Tesla’s leadership position as the world’s leading electric car manufacturer in a competitive market. In this paper, the Lagrange multiplier method is used to incorporate specific market share and marketing expense constraints into the profit function and to find the extreme values by constructing the Lagrange function and solving for the derivatives. However, the results of the study show that the solutions obtained are extreme minima rather than the expected maxima. This result highlights the possible limitations of the Lagrange multiplier method in economic optimization problems. Nonetheless, this paper provides valuable lessons for understanding and applying the Lagrange multiplier method and points the way for further research on the application of optimization methods in economic decision making.
The distinctions between Chinese and Western literature
Authors: Zhang Zichun
Published: October 2024

In today’s globalization, the communication between Chinese and western literature is becoming more and more frequent, and the influence between them is also deepening. However, although mixed in some aspects, Chinese and Western literature still maintains its own characteristics and charm. Through the discussion of the differences between Chinese and Western literature, we can better understand the diversity of different cultures, promote cross-cultural dialogue and understanding, and enrich the spiritual world of human beings. This paper discusses the differences between Chinese and Western literature in various aspects, including communication mode, communication medium, development time, cycle, content and core ideas. Through the combination of historical events and objective development laws, this paper explores the influence of literature on economic and political development. This paper discusses in detail the relationship between literature and national and social development and how various social factors affect literature development, both of which restrict each other and cooperate with each other.
A Survey on Ring Theory for its Mathematical Foundation and Applications
Authors: Zheng Huiran
Published: October 2024

The origin of the ring theory can be dated to the early 19th century. With the rapid development of technology, more and more complex engineering problems and computer problems need to obtain support and results from more basic mathematics theory. Hence, based on this demand, the researcher discovered that ring theory is a very noteworthy math theory for solving the complicated problems above. This paper investigated the ring theory and related articles based on number theory and corresponding applications, which produces and results in a literature review in this particular direction.
Connotation, Expression and Breakthrough of Women’s Power
Authors: Deng Hanyin
Published: October 2024

With the development and progress of the times, women’s abilities and strength have been further affirmed. Women’s thinking and development are also improving. However, there are still some obstacles that prevent them from moving forward. This issue has received a lot of attention. This article mainly focuses on the connotation, and expression of women’s power, then discovers how to solve the difficulties they faced. This article finds that women’s power took a long time to develop, and women suffered from stereotypes and discrimination while working. These kinds of obstacles mean women do not have equal chances as men. Based on these, this article finds that improving female status and breaking and turning stereotypes into benefits and policy supports are conducive to helping women. It is necessary to provide equal chances to women as men while working. Plus, women can use their advantages, such as empathy and emotional intelligence, to make a career. Last, governments ought to support women with some policies, for instance, resting holidays to relax or do other things. All these methods enable women to greatly show themselves and completely use their capabilities.
Digital transformation: literature review and research outlook
Authors: Gao Yinming
Published: October 2024

The fast development of emerging technologies such as cloud computing, big data, artificial intelligence, and the Internet of Things (IoT), has provided robust technical support for the digital transformation of corporations. Concurrently, the literature on digital transformation is also increasing, reflecting the gradual progress of this phenomenon. A systematic review and summary of digital transformation is presented in this paper, based on a sample of 54 papers published in UTD24 and FT50. The results of the research are as below: (1) the number of published papers on digital transformation shows a dynamic growth trend; (2) resource, organizational, and environmental factors trigger and shape digital transformation; (3) the influence mechanism of digital transformation mainly includes innovation and integration; (4) digital transformation is a double-edged sword, and its impact consequences include positive and negative effects. Finally, a research framework for digital transformation is constructed, and ideas for future research are provided.
An Introduction to the Difficulties in Translating Sacred Texts
Authors: Du Hao
Published: October 2024

Religious translation contributes significantly to the development of translation as a subject. In the field of religious translation, the most frequently translated documents are sacred texts since sacred texts are central to a religion. However, due to complicated and sensitive cultural elements sacred texts contain, the translating processes of any sacred texts are filled with difficulties. To produce more adequate translation of sacred texts, the potential difficulties are ought to be studied and understood. This article will introduce the major difficulties in translating sacred texts and, briefly discuss current methods utilized in sacred text translation, and provide suggestions. Contents will be provided in the following order: reasons for translating sacred texts (introduction), linguistic difficulties in the sacred text translation, religious issues in the sacred text translation, current translation method of the sacred text, and conclusion with suggestions on the potential methods of sacred text translation depending on a translation’s target audiences.
Analyzing the Characteristic of Simplex Algorithm
Authors: Dong Zixuan
Published: October 2024

Simplex algorithm is a kind of iterated algorithm which is used to solve linear programming problems. It is raised by George Dantzig in 1974 and is still a valid tool especially when the scale of problem is relatively small or secondary. Simplex algorithm starts at an initializing feasible solution, and constantly approach to the optimal solution until the optimal solution is found or unbounded. Serving as a classical algorithm solving linear programming problem, it plays an important role in both theoretical. With the continuous development of computing technology, the simplex method and its varieties will continue in optimization. This research aims to help people make better decisions in optimization problems by summarizing the formula, characteristics and problem solutions of simplex algorithm. The summary is come from existing literature and including the condition of using simplex algorithm, all kind of different solutions, an example of simplex tableau method and the future of simplex algorithm.
Research on the Analysis and Optimization of Advertising Strategies on YouTube
Authors: Wang Bo
Published: October 2024

The research presented in this paper investigates YouTube advertising and its problems and prospects with an emphasis on ad fatigue, ad-blocking tools, and targeting issues in digital advertising. The paper focuses on the aspects that might influence the effectiveness of YouTube ads based on the literature review and the case study of the YouTube channel Verdeliss. Some of the discoveries presented show that such factors as entertainment and informativeness are vital for capturing the audience’s attention, whereas ad irritation and targeting errors negatively impact the ads’ performance. Some of the strategies suggested are increasing the ad variety and relevance, refining targeting algorithms, and reducing the effects of ad blockers to enhance the return on investment (ROI) and user interaction. This study highlights the need to overcome these challenges to enhance digital advertising, especially on YouTube, so as to meet the users’ needs and firm goals. Based on these strategies, future research should endeavor to use empirical research to validate these strategies and other emerging methods of digital advertising in the dynamic online environment.
Research on the influencing factors of the difference in warming rates between the east, west and central regions of North America during the 21st century
Authors: Xie Ruyun , Zhao Yunbo , Ni Xinlin , Cui Wenlan
Published: October 2024

Temperature in North America (NA) is a significant focus of current climate change research. This study focuses on various climate variables and employs linear regression and correlation coefficient analysis to examine the factors influencing the differences in warming rates across the eastern, western, and central regions of NA in the 21st century, as well as the correlations between these factors and temperature. Results indicate that NA temperatures are rising with notable regional variations in warming rates. Under the influence of cloud cover, the impact of precipitation on warming rates is relatively minor, whereas radiation significantly affects warming rates. Additionally, sea level pressure influences wind patterns, thereby significantly impacting warming rates. This study highlights the complexity of regional climate dynamics in NA and provides deep insights into regional climate differences.
Prompt Recovery for Large Language Models
Authors: Feng Ruochen , Hu Jincheng , Chen Yifang
Published: October 2024

Understanding and recovering prompts in large language models (LLMs) is vital for addressing concerns related to privacy, copyright, and beyond. However, there is a lack of extensive research in this area. To fill this gap, we implemented model stacking techniques, such as utilizing mean prompts and embedding models, tailored for specific datasets. While these individual models were designed for particular datasets, our combined stacking model demonstrated improved accuracy in prompt recovery across diverse datasets. Although there was a slight decline in performance on the initial dataset, our comprehensive evaluation across multiple LLMs and prompt benchmarks indicates that our stacking model exceeds the performance of existing methods. Notably, this approach uses a single LLM without depending on external resources, making it an efficient and accessible solution for prompt recovery.
Why does the International Criminal Court Fail to End Impunity: An Analysis of ICC’s Operative and Structural Flaws
Authors: Wang Yunyi
Published: October 2024

The International Criminal Court was established to end impunity while sentencing some of the worst criminals committing brutal mass murders. Facing doubts from critics regarding its effectiveness, it is only a matter of time before this court meets its end. Past research usually offers suggestions with a third party’s involvement, while this research focuses on empowering the court itself and its root causes: legal and operational flaws. Methods such as data analysis of the ICC’s financial report and past cases are utlized. These findings are later used to propose recommendations that ensure more effective communication between ASP and the ICC and amend the Rome Statute to grant the ICC more authority. The specific areas of flaws tested in this research can become valuable information for future research, while the ICC can consider the legal recommendations from this research as guidance for future actions.
What Happens after Nora Walks Out?——Take Regret for the Past and A Room of One’s Own as Examples to Analyze Female Liberation
Authors: Zhang Xinchi
Published: October 2024

At the commencement of the 20th century, concurrent with the transformation of the socioeconomic structure and the augmentation of individualistic consciousness, the feminist narrative in both the Eastern and Western contexts grew increasingly assertive. The character Nora in Ibsen’s plays significantly contributed to the consciousness awakening among women. Regret for the Past can serve as a sequel to What Happens after Nora Walks Out? Delineating the roads and ultimate fate of a consciousness-awakened woman. Concurrently, the eminent Western author, Virginia Woolf, initiated an exploration of feminism within the narrative of A Room of One’s Own marking a significant juncture in the Western feminist movement’s trajectory. This scholarly work involves a meticulous exegesis of the literary texts within Regret for the Past and A Room of One’s Own, examining the diverse experiences of women’s liberation across various historical periods. Research indicates that the status of women has enhanced subsequent to societal emancipation, with women’s liberation being concomitant with their endeavor for gender equality. Subsequently, the Women’s Liberation Movement has achieved additional advancements. It is incontrovertible that research has demonstrated the necessity of social emancipation as a prerequisite for the advancement of women’s liberation. Presently, given the enhancement of women’s societal standing, when running away from home, which had been given the meaning of awakening, was no longer the only option. What contemporary avenues are available for women and what novel challenges confront the cause of women’s liberation?
The Possible Factors that Influence the Stability of Binary Star System
Authors: Yin Luxinming
Published: October 2024

Binary star systems are a crucial subject in astrophysics, as they provide insights into stellar formation, evolution, and dynamics. Despite extensive research, there remains a gap in understanding the factors influencing the longterm stability of such systems. This paper discusses the factors that may affect the stability of binary star systems by analyzing and exploring the physical laws and formulas of the operation of binary star systems and using the operation data of specific binary star systems as evidence. It can be concluded that the factors affecting the stability of a binary star system may be as follows: 1. Mass ratio of two stars, 2. Stellar spacing, 3. Orbital eccentricity, 4. Influence of stellar evolution stage, 5. The influence of external bodies. Future research should further explore the combined effects of these factors in more complex systems to better understand binary star stability in various astrophysical environments. Additionally, understanding how these factors interact in multi-body systems could provide deeper insights into the evolution of complex stellar systems.
How did female members of the Ku Klux Klan think about gender in the United States?
Authors: Lin Zihao
Published: October 2024

This paper focuses on the members’ perspective toward gender issues inside the Women’s KKK party, mainly about their attitude toward gender equality. This paper will analyze two secondary and two primary sources to join the debate of whether women in the KKK want to be empowered or stay traditional. The analysis of the primary sources interrupts this debate by stating women in the KKK believe there is no distinction between the two sexes. The idea of doing this specific research is to show that women are fighting for equality and rights in different kinds of conditions, including in extremist groups.
Experimental Research on whether personality label will distort people’s behaviors
Authors: Ye Wenxi , Zhou Keyin , Wang Yixin
Published: October 2024

In the last few years ,the personality test (MBTI and Eysenck)has been gaining popularity among young people, everyone is accustomed to using an personality test result to summarize themselves, especially when socializing. Both of these tests are interesting, one of this is divided all the personalities into 16 personalities by accurately, and the other is by looking at the three dimensions of extroversion and introversionit. But the phenomenon also raises some questions: Can our personalities be changed and limited by the results of the personality test? Therefore, we conducted the following experiments for the question: including questionnaire survey, bar chart and T-test were used for data analysis. However, instead of selecting all the mbti labels in our research completely, we chose to study only a subset of the mbti labels: extroversion and introversion(e and i), in other words , using the Eysenck personality test. In this series of work, the comparison and analysis of the data found similar results to the original suspects –-personality labels does change and limit people’s behavior and thinking in a subtle way. Therefore, being one of the pioneer studies on the impact of mbti results on people, the unique value of this research lies in help most people today understand themselves better, and not be held back by the results of some test that everyone is full of infinite possibilities.
How does the same piano piece have a different impact on the mood of different age groups and different genders?
Authors: Wang Yuhao
Published: October 2024

developing in the field of music therapy. This study aims to investigate the different emotional changes experienced by participants of different ages and genders when listening to the same piece of piano music. Participants will complete an emotional scale questionnaire (options include calmness, excitemend, anger, happiness, sadness) after listening to the same stimulus (the piano piece). The results will be analyzed through a paired t-test and presented graphically. The study finds that women tend to experience more positive emotions than men. Furthermore, there are significant differences in emotional responses between different age groups, particularly with regard to how older adults react emotionally to music. These findings suggest that the same piece of music can resonate differently with various demographic groups, playing a positive role in music therapy.
Rail Detection Research Status of Multi -Sensing Technology
Authors: Zhang Hengyu
Published: October 2024

Traditional rail inspection methods, primarily relying on manual inspection and basic equipment, face significant challenges including low efficiency, poor accuracy, and susceptibility to human error. This paper presents a comprehensive review of the current research status and future trends in multi-sensor rail transit inspection vehicles. The focus is on the integrated application of various sensing technologies, particularly inertial systems and visual sensing, to achieve high-precision and efficient measurement of rail geometrical parameters. An in-depth analysis of key technologies and challenges in railway track inspection is provided, exploring how advanced sensing methods can overcome the limitations of traditional approaches. The paper also examines the market prospects for rail transit inspection, highlighting the growing demand for more sophisticated and reliable inspection systems. Furthermore, potential future research directions in this field are outlined, including the development of AI-powered data analysis, real-time defect detection algorithms, and the integration of emerging technologies such as LiDAR and thermal imaging. This review aims to provide valuable insights for researchers, engineers, and industry professionals working on advancing rail inspection technologies.
Analysis and Validation of Sponge City Construction in Mountainous Cities based on SWMM - Taking Nanan District of Chongqing as an Example
Authors: Xie Jinyuan
Published: October 2024

Sponge city construction is one of the key topics in today’s research. China’s sponge city construction has gradually entered the stage of optimization and effect evaluation. However, there are still some gaps in issues such as the verification of the effect of sponge cities. Therefore, in this paper, Storm Water Management Model (SWMM) is carried out by collecting data on surface runoff, waterlogging, peak flow, control rate, etc. in Nanan District of Chongqing City. At the same time, reasonable Low Impact Developments (LID) facilities such as rain gardens, permeable paving, bioretention tanks, rain barrels, rooftop rainwater harvesting and rooftop gardens are incorporated into the sponge city design and verified by using a typical rainfall process with a return period of 5a and a duration of 3 hours. The results of the study showed that the surface runoff drainage time in one catchment was 11.1% faster before and after the LID facilities were installed in contrast, the peak flow reduction rate of the main pipe was 71.55%, and the average runoff control rate in each catchment was around 40.57%. In conclusion, the LID facilities are not effective enough to reduce the rainfall runoff above the medium rainfall, while they are more effective below the medium rainfall.
A Literature Review of Schizoprenia Therapies Comparing Effects
Authors: Su Siyi
Published: October 2024

Schizophrenia is a complex and chronic mental health condition that affects a significant number of individuals across the globe. This disorder can have a profound impact on those who suffer from it, as well as their families and communities. Characterized by a range of symptoms that may include delusions, hallucinations, disorganized thinking, and reduced social engagement, schizophrenia can be a challenging condition to manage. Despite the difficulties it presents, with proper treatment and support, many people with schizophrenia can lead fulfilling lives. Understanding and awareness of this condition are crucial in fostering a supportive environment for those affected and advancing research towards more effective treatments and potential cures. Psychological treatment is considered a limited side-effect therapy compared to medication. Psychological treatment can be divided into several therapies. Those therapies have different effects and various aspects of improvement. This literature review attempts to show the function of family therapy, group therapy, social skills training, and vocational rehabilitation. A total of 17 empirical researches are included in this literature review. Through the review of previous studies, it could be proposed that the improvement of symptoms, quality of life and social functioning are different for each therapy.
Emerging Frontiers in Cancer Immunotherapy: Recent Advances in CAR-NK Cell and CAR-Macrophage Therapies
Authors: Drew David
Published: October 2024

Chimeric antigen receptor (CAR) cell therapies have revolutionized the field of cancer treatment with the breakthrough successes of CAR-T cell therapy in hematological malignancies. However, CAR-T cell efficacy in solid tumors has been limited by challenges such as the immunosuppressive tumor microenvironment (TME) and safety concerns like cytokine release syndrome (CRS) and graft-versus-host disease (GvHD). This review focuses on the latest advancements in CAR-NK cell and CAR-macrophage therapies, which offer potential solutions to these limitations. CAR-NK cells exhibit natural cytotoxicity and MHC-independent tumor targeting, providing a safer profile with lower risks of GvHD and CRS compared to CAR-T cells. Innovations in CAR-NK cell therapy includes structural optimizations, gene editing with CRISPR-Cas9, and the development of multispecific CARs, all contributing to enhanced anti-tumor efficacy, especially in solid tumors. Meanwhile, CAR-macrophages are effective in remodeling the TME through phagocytosis and immune activation, addressing the challenges of solid tumor infiltration. This review compares the mechanisms of action, clinical applications, and safety profiles of CAR-NK cells and CAR-macrophages, highlighting the synergistic potential of these therapies. Although clinical research on both therapies is still in its early stages, the promising preclinical and early clinical trial results underscore their potential as alternative immunotherapies for refractory cancers. Future research will focus on overcoming challenges in production scalability, improving in vivo persistence, and personalizing CAR therapies through precision medicine approaches. These two therapies will likely play pivotal roles in the next generation of cancer immunotherapies.
Examining the Impact of Social Media Marketing on Consumer Purchase Intentions: Insights from Content, Influencer, and User-Generated Content Strategies
Authors: Su Nan
Published: October 2024

How social media affect the customers behavior plays an essential role for enterprise who aiming to thrive in a competitive market under the rapid digital platforms development and increasing amount of time people spend online. Social media platforms are the main source of information, entertainment and interaction, as well as the significant tool of marketing and customer engagement. The article emphasizes multiple influences of social media to customer determination through analyzing content, influencer and user generated content (UGC) marketing. Content marketing involves generating valuable and pertinent information to engage and sustain a specifically targeted audience, whereas influencer marketing utilizes the influence and credibility of prominent figures to endorse products and brands. UGC, on the other hand, provides authentic, peer-driven content that resonates with potential customers. These strategies comprehensively enhance the brand reputation, emotional resonance and consumer trust to drive purchase decisions and facilitate success. The study reveals that effective social media tactics can improve customer engagement and credibility, further increase the purchase intention, and conversation. These findings underscore the importance of integrating comprehensive social media strategies into marketing plans to positively influence consumer behavior and achieve business objectives.
A Study on User Privacy Information Sharing and Boundary Management on Social Media
Authors: Wu Keyao
Published: October 2024

This article aims to study and analyze issues related to user privacy information sharing and limitation management on social media. It examines the actions users take regarding information sharing in various situations and proposes effective privacy management measures to help users better secure their personal privacy. Based on survey data, the analysis makes two key assumptions: first, there is a negative correlation between users’ reception of privacy management policies and the frequency of experiencing privacy information leaks; second, there is a positive correlation between the reception of privacy management policies and users’ privacy management actions. The analysis reveals several findings: privacy information management practices are generally prevalent among social media users, users face significant challenges in managing privacy information, and most social media users have experienced personal privacy information leaks. These insights are crucial for understanding privacy management actions in social media environments and for developing effective privacy management policies.
The analysis of the reasons the UK is unlikely to become a police state
Authors: Ge Jinjing
Published: October 2024

In today’s society, there is tension between the exercise of public power and the protection of free speech. In Britain, nearly 1,000 people have been arrested for freedom of speech in the past five years. There has been discussion about whether Britain is becoming a police state. The system of the police state is undemocratic and authoritarian and serves a particular class. Under such a system, the police can arbitrarily use public power to arrest citizens, and citizens’ fundamental freedoms cannot be guaranteed. Today’s British society is civil, and citizens enjoy fundamental rights, including freedom of speech. The law establishes the boundaries of freedom of speech. Regarding limiting police power, the scope of police power can be clarified at the legislative and judicial levels, and the relationship between public power and private rights should be balanced. Thus, this paper argues that Britain will unlikely become a police state.
Introducing an Epistemological Paradigm and Its Ontological Origin through the Metaphysical Deconstruction of Language as the Model of Expression
Authors: Wang Mingze
Published: October 2024

The model of language can relatively concretely reveal the mechanism of the epistemology, which is extended by the ontology that takes “person” as the unit. It unveils an intuitable dimension to represent the epistemolog’s paradigm and limitations. Deriving from the inherent relation between epistemology and ontology, the retrospection of the epistemology’s ontological origin can be actualized by locating or grasping the epistemological first person’s ontological essence. Hence, the illusional and frail essence of the ontology behind this epistemology would be uncovered. “Person” is not a stable unit in the ontological world, since the application of this unit stimulates the development of the operating style of the epistemology which relies on the supplement of paradox. After this study that intends to get the epistemological and ontological truth of the current using nominative, the new era of one or more unknown but solid epistemology and its ontology will be gradually recognized. Furthermore, the circumstance of past and current philosophical study is going to be changed.