bluuebunny/crossref_metadata_2025 huggingface dataset:
The pathogenesis and clinical treatment progress of cervical spondylotic radiculopathy
Authors: Wang Cheng , Li Wen-Hua , Wu Hai-Bo , Su Ting , Yang Jian-Rong
Published: October 2024

Objective: This review was designed to summarize the pathogenesis, clinical manifestations and current progress in clinical treatment of cervical spondylotic radiculopathy (CSR), so as to provide clinicians with a comprehensive understanding of CSR and reference for treatment strategies. Method: A comprehensive search was conducted across multiple databases, including PubMed (https://pubmed.ncbi.nlm.nih.gov/), Embase (https://www.embase.com/search/), Web of Science (https://www.webofscience.com), Science Direct (https://www.sciencedirect.com/), the Chinese Biomedical Literature Database (https://www.sinomed.ac.cn/index.jsp), the China network (https://book.oversea.cnki.net/), Wanfang Data (https://www.wanfangdata.com.cn/), and the VIP Database (https://www.cqvip.com/). 174 articles related to CSR, encompassing basic research, clinical reports, and review articles were collected, in which, 104 articles were selected for detailed analysis. The collected studies were then classified and summarized to analyze the pathogenesis, pathophysiological processes, and diagnostic criteria of CSR. The review also aimed to explore the typical clinical manifestations of CSR, discuss its differential diagnosis, summarize current treatment methods, and evaluate the efficacy and safety of these treatments. Results: CSR is a clinical syndrome resulting from various factors, including cervical disc degeneration, osteophyte formation, ligamentous laxity in cervical joints, subluxation, and irritation or compression of cervical nerve roots. The underlying mechanisms involve both mechanical compression and chemical irritation. Current treatment options encompass Western medicine, traditional Chinese medicine (TCM), and physical therapy. Conclusions: Various therapeutic approaches for CSR include surgery, TCM, and combination therapies. Future research should prioritize investigating the molecular mechanisms underlying CSR and further elucidating the mechanisms of action of different treatment modalities to enhance the scientific foundation for clinical management of the condition.
Research hotspots and trend of puerarin based on bibliometric analysis
Authors: Li Jing
Published: October 2024

Objective: This study aims to delineate the mounting trends in the application of puerarin and provide insights for future research. Method: Relevant literature were firstly screened from the Web of Science Core Collection (WOSCC) on puerarin, followed by analyses on the research trends in multiple aspects using VOSviewer 1.6.20. Results: A total of 1,943 publications on puerarin were identified, with "puerarin" being the most frequently occurring keyword, demonstrating a total link strength of 6,106 and showing strong associations with "oxidative stress" and "apoptosis." Publications in this field originated from 59 countries and regions, with China leading the output with 1,576 articles and USA along with South Korea being the main collaborators of China. The top seven institutions with the highest publication counts are all based in China, with Beijing University of Chinese Medicine being the most prolific. The mean citation count for these leading authors was 14.43, with a range of 13 to 19. The author with the highest average citation rate published four articles, accumulating a total of 490 citations. Frontiers in Pharmacology was the leading journal in terms of publications, with 42 articles, while the Journal of Agricultural and Food Chemistry was the most cited, with 1,634 citations. Conclusions: This paper presents a bibliometric analysis to identify current research focuses and development trends related to puerarin.
Recent advances in the treatment of β-thalassemia: from traditional therapies to gene therapy
Authors: Wang Hua-Zhu , He Zhi-Xu
Published: October 2024

β-thalassemia is a monogenic hereditary disorder, with current treatments including blood transfusions, iron chelation therapy, and hematopoietic stem cell transplantation. Despite their benefits, these approaches have significant limitations. Recent advancements in pharmacological agents and gene therapy show promising therapeutic potential. This review systematically summarizes these emerging treatment modalities, offering clinical practitioners and researchers up-to-date insights. Initially, a comprehensive literature search was performed on PubMed using the keywords "thalassemia," "epidemiology," "treatment," "gene therapy," and "molecular mechanism". From approximately 180 articles published over the past decade, 89 relevant studies were included. This review covers both foundational knowledge of β-thalassemia and treatment advancements from the past five years. The findings provide a detailed overview of the molecular mechanisms and traditional treatments of β-thalassemia, with particular emphasis on recent pharmacotherapy and gene therapy advancements. Future research directions are also proposed. Novel pharmacological agents and gene therapy offer innovative avenues for managing β-thalassemia, presenting renewed hope for patients.
Identification of biomarkers and construction of a microRNA‑mRNA regulatory network for hepatocellular carcinoma using integrated bioinformatic analysis
Authors: Yu Qing-Shan , Liu Lin-Yi
Published: October 2024

Objective: By applying bioinformatic techniques, this study aims to explore potential biomarkers associated with hepatoma carcinoma (HCC) through comprehensive analyses. Methods: We downloaded two RNA microarray datasets related to HCC by accessing the Gene Expression Omnibus (GEO) database and employing specific keywords. Subsequently, all data were retrieved and processed to analyze the differential miRNAs and mRNAs within these datasets. Moreover, Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were conducted, followed by the construction of protein-protein interaction (PPI) network. Utilizing diverse software and online platforms, we created volcano maps, GO analysis diagrams, KEGG analysis diagrams, protein interaction network diagrams, and miRNA-mRNA interaction analysis diagrams. Results: 13 differential miRNAs and 256 differential mRNAs were extracted from the two datasets. The GO annotation encompasses over 1,000 entries, comprising 345 biological process (BP) entries, over 490 cellular component (CC) entries, and 165 molecular function (MF) entries. Additionally, 116 signaling pathways were identified from the general set pathway of the KEGG. Conclusions: This study utilized bioinformatics research methods to construct a miRNA-mRNA interaction network by further collating, refining and analyzing the data obtained from miRNA chips and mRNA chips. Through the mining of potential biomarkers of HCC, new insights have been proposed for future experimental research.
The mechanical and functional research of lncRNA, miRNA and genes
Authors: Xie Rui-Shen
Published: October 2024

Societal progress parallels disease evolution, demanding swift exploration of disease mechanisms and innovative therapies, with recent emphasis on microRNA (miRNA) and long non-coding RNA (lncRNA) in intron regions. It is worthy of noticing to integrate the function and mechanism of lncRNA, microRNA and related genes, so as to provide integrate information for researchers in a clearer train of thought. Here, using the literature summarizing method, the keywords "lncRNA”, “mRNA” and “genes” were entered in PUBMED (https://pubmed.ncbi.nlm.nih.gov/) to obtain recent literature. Subsequently, we compressed, categorized and summarized these literature and reported. As a result, we systematically summarized the Research progress in the mechanism and function of the gene and lncRNA, the function and mutual mechanism of microRNA and gene, and relation of lncRNA and microRNA, so as to provide important literature information for understanding the mechanical and functional research of lncRNA, miRNA and genes.
Comments on: KYNA/Ahr signaling suppresses neural stem cell plasticity and neurogenesis in adult zebrafish model of Alzheimer’s disease
Authors: Song Zhao-Xia
Published: October 2024

This commentary offers insights into the article titled "KYNA/Ahr signaling suppresses neural stem cell plasticity and neurogenesis in adult zebrafish model of Alzheimer’s disease". The author highlights the responsiveness of Ahr2-positive NSCs to amyloid toxicity and emphasizes differential gene expression related to KYNA metabolism and AHR signaling in human late-onset Alzheimer's disease validation. The commentary acknowledges the study's rigorous design, reliable data collection, and significant contributions to the field while suggesting improvements in areas such as the abstract, keywords, introduction, results, and acknowledgment to enhance the article's completeness and value.
Research progress of immune cell therapy for spinal cord injury
Authors: Zhu Shuai-Yu
Published: October 2024

Spinal cord injury (SCI) is a life-destroying neurological disorder that affects 250,000 to 500,000 people each year, and it is estimated that 2 to 3 million people worldwide suffered from SCI-related disabilities. In addition, the injury triggers an inflammatory response that leads to secondary tissue damage, leading to further loss of function. Therefore, reducing inflammation after SCI may become a valuable therapeutic target. In this review, original research publications and reviews of immune cell repair SCI were searched in the "PubMed" database. Search terms include: SCI, macrophages, immune cells, regulatory T cells, B cells. All literature were summarized, categorized and reviewed. As a result, it was found that macrophages, as a key component of the immune system, exhibit M1 classical activation and M2 selective activation, thereby regulating inflammatory responses by regulating these two distinct phenotypes and having different effects on tissue repair. Regulatory T cells for SCI repair is involved in regulating microglia, oligodendrocytes, and other cells. The activation status of macrophages (M1 or M2) has different effects on inflammation, with M1 macrophages tending to promote inflammation while M2 macrophages contribute to the resolution of inflammation and tissue repair.
Research progress of ciliary neurotrophic factors
Authors: Shu Yu-Qing , Wang Ting-Hua
Published: October 2024

Objective: This study aims to review the structure, distribution, biological effects, and the relationship of Ciliary Neurotrophic Factor (CNTF) in spinal cord injury (SCI) and repair. Methods: A comprehensive literature review was conducted on the structure, gene, distribution, receptors, and mechanisms of action of CNTF, then the biological effects and associated molecular mechanism of CNTF and its receptor (CNTFR) information in the nervous systems from Pubmed were collected and summarized thoroughly. Results: CNTF is an acidic protein composed of 200 amino acid residues, with a molecular weight of 20-24kD, which plays crucial roles in the differentiation, survival, and functional maintenance of both sensory and motor neurons. The CNTF gene is located on chromosome 11, while the CNTFR gene is located on chromosome 9. As one of growth factors, CNTF is widely distributed in various cells in nervous systems, synthesized by astrocytes, fibroblasts, and muscle cells, etc. The CNTFR consists of three subunits: CNTFR-α, LIFR-β, and gp130, which are crucial for CNTF signaling. Mechanistically, CNTF primarily signals through the JAK/STAT3 pathway, which is essential for neuroprotective effects, including promoting neuronal survival, nerve regeneration, and inhibiting cell apoptosis. Conclusions: CNTF plays a critical role in the differentiation, survival, and functional maintenance of sensory and motor neurons via interacting with CNTFR and subsequently activating the JAK/STAT3 pathway biological activities. Therefore, CNTF holds therapeutic potential for neurodegenerative diseases and nerve injury, including SCI.
Weight-bearing swimming downregulates caspase-3 expression in hippocampal neuron of rats
Authors: Wang Hang-Ping , Liu Jian
Published: October 2024

Objective: The aim of this study is to examine the role of various weight-bearing swimming methods in the apoptosis of hippocampal neurons and their correlation with the expression of the Bcl-2, Bax, and Caspase-3 genes. Methods: A total of 50 seven-week-old Sprague Dawley (SD) rats were randomly divided into five groups, consisting of the control group, zero weight-bearing group, slight 1% weight-bearing group, moderate 3% weight-bearing group, and heavy 5% weight-bearing group, each consisting of 10 rats. Rats in the control group did not undergo swimming training, whereas, rats in swimming training were performed six weeks, one hour per day, five days per week, with rest on Saturday and Sunday. Then rats were sacrificed under anesthesia. Apoptotic detection for neurons in the hippocampus was performed using Terminal deoxynucleotidyl transferase dUTP Nick-End Labeling (TUNEL), and reverse transcription-polymerase chain reaction (RT-PCR) was employed to assess the expression of Bcl-2, Bax, and Caspase-3. Finally, immunofluorescence staining was utilized to localize Caspase-3, a major factor in the modulation of apoptotic genes, in the hippocampus. Results: RT-PCR analysis confirmed no significant difference in the expression levels of Bcl-2 and Bax in hippocampal neurons between the swim training groups and the control group. However, the expression of Caspase-3 was markedly reduced in the 0% swim training group and the slight weight-bearing group but increased in the moderate and heavy bearing group compared to the control (p < 0.05). TUNEL staining revealed a rising trend in the number of apoptotic cells with an increasing burden in the control group. Immunofluorescence staining confirmed the presence of Caspase-3 in the neurons of the rat hippocampus. Conclusions: Swimming training is beneficial for health. However, as the training intensity escalates, it may lead to injuries. The molecular mechanism underlying these effects involves caspase-3.
A novel protocol to establish SD rat spinal cord injury model
Authors: Lu Ying , Chen Hai-Feng , Jiang Ji-Li
Published: October 2024

Traumatic spinal cord injury (TSCI) denotes spinal cord injury (SCI) resulting from external direct factors, leading to various corresponding changes in movement, sensory perception, bladder function, sphincter control, muscle tone, and pathological reflexes within the affected segments. Nowadays, rats, mice, and monkeys are frequently employed as animal models in research, with rat SCI models being particularly prevalent. Hence, this article primarily focuses on detailing a well-established animal model involving total transection of the spinal cord in Sprague-Dawley (SD) rats.
Penerapan Terapi Relaksasi Otot Progresif Terhadap Penurunan kadar glukosa darah pada klien diabetes mellitus dengan Hiperglikemia di ruangan mawar pink RSUD Sidoarjo
Authors: Raudatul Jannah  , Sri Astutik Andayani  , Handono Fathur Rahman
Published: October 2024

Abstrak
Diabetes melitus merupakan sekelompok kelainan heterogen yang ditandai oleh kenaikan kadar glukosa dalam darah atau hiperglikemia. Tujuan : Mengetahui gambaran penerapan terapi relaksasi otot progresif terhadap penurunan glukosa darah pada klien diabetes melitus dengan hiperglikemia di Ruang Mawar Pink RSUD Sidoarjo. Metode : metode yang digunakan adalah studi kasus dengan teknik pengumpulan data melalui wawancara, observasi, pemeriksaan fisik dan pendokumentasian pelaksanaan relaksasi otot progresif. Pelaksanaan Relaksasi Otot Progresif dilakukan selama 3 hari berturut turut dengan durasi 10 menit. Hasil : Hasil evaluasi keperawatan berdasarkan catatan perkembangan menunjukkan bahwa, setelah dilakukan terapi relaksasi otot progresif selama 3 kali pertemuan, indikator kriteria hasil tercapai sepenuhnya penurunan sering BAK, sering merasa lapar dan gula darah puasa menurun. Kesimpulan : Berdasarkan hasil evaluasi kasus yang dilakukan dapat disimpulkan bahwa penerapan relaksasi otot progresif menangani ketidakstabilan kadar glukosa darah efektif untuk digunakan karena adanya perubahan kadar glukosa darah sebelum dan sesudah terapi yaitu dari kadar glukosa darah tinggi menjadi turun.
The Ripple Effects of Financial Fraud: Investor Trust and Risk Appetite Post-Kangmei Pharmaceutical
Authors: Sun Hao
Published: October 2024

The financial fraud at Kangmei Pharmaceutical (stock code: 600518) has had profound implications for retail investors. This paper, through data analysis, explores the correlation between information asymmetry and investment outcomes for retail investors. Information asymmetry often leaves retail investors unable to access the true financial state and operational conditions of companies, leading them to make speculative investments. Post-exposure, as information transparency increased, retail investors became aware of the company's financial issues and rushed to sell, causing a stock plunge. This highlights how information asymmetry not only affects investment decisions but also amplifies market volatility. To mitigate risks from information asymmetry, regulators must strengthen oversight and penalties, improve disclosure transparency and authenticity, while investors need to enhance self-protection awareness and information gathering and analysis capabilities. Only then can we minimize the impact of information asymmetry on retail investors and uphold fairness and stability in financial markets. This paper suggests that by implementing a robust regulatory framework and encouraging proactive investor education, we can better safeguard retail investors from the detrimental effects of information asymmetry, thereby fostering a more resilient and equitable financial market ecosystem.
Research on the Influencing Factors of House Prices in Chicago
Authors: Liu Pinyao
Published: October 2024

This study provides a comprehensive analysis of the factors that influence housing prices in suburban Chicago. Using detailed regression analysis, several key variables were identified as significant predictors of property value. The study included variables such as the number of bedrooms, square footage, number of rooms, size of the lot, annual taxes, number of bathrooms, number of garages, and the condition of the house. The R-squared value of the model is 0.732, indicating that approximately 73.2% of the house price variance can be explained by the selected variable. Houses with more rooms and more square footage tend to cost more. In addition, characteristics such as the number of garages and bathrooms can also have a significant impact on house prices. These findings provide valuable insights for real estate professionals, buyers and sellers, enabling them to make informed decisions regarding real estate investment and pricing strategies. By understanding the key drivers of house prices, stakeholders can better navigate the suburban housing market and ensure more accurate assessments and strategic planning.
The Impact of R&D Investment on The Financialization of Enterprises —— Take The Manufacturing Industry as An Example
Authors: Xu Qingyu
Published: October 2024

In recent years, the excessive investment of entity enterprises leads to the phenomenon of enterprise financialization, which makes the development of entity enterprises fall into a vicious circle. How to restrain the excessive financialization trend of enterprises and promote the high-quality development of real enterprises has become an urgent problem to be solved. Based on the financial data of listed companies in A-share manufacturing industry from 2008 to 2022, this paper studies the possible inhibitory effect of enterprise R&D investment on finalized investment from the perspective of asset allocation and market competition. The results show that R&D investment is significantly negatively correlated with the level of enterprise financialization, that is, R&D investment can restrain enterprise financialization to a certain extent. Further research shows that increasing cash holding and increasing market power are two intermediary paths for R&D investment to restrain the financialization of enterprises.
The Contemporary Immunotherapies of Pancreatic Cancer
Authors: Chen Yifan
Published: October 2024

Pancreatic cancer is a malignant tumor found in the digestive system with hidden onset, rapid progression, poor therapeutic effect and prognosis. In the last few years, immunotherapy has been included in the various solid tumors’ treatment, and pancreatic cancer immunotherapy has gradually attracted attention. Over the past decades, clinical studies have demonstrated some currently typical immunotherapies of pancreatic cancer which has already accepted by the Food and Drug Administration (FDA) which are immune checkpoint inhibitors (ICIs), CAR T-cells and vaccine. Optimistically, results provided by the scientists had described effective outcomes of these immunotherapies in treating this cancer. By combining these new treatments with the traditional, safe therapies, such as surgery or chemotherapy, an increase in patients recover or survival rate has been shown through this combination. However, new therapies mean certain hurdles are existed in these methods due to the identity of “newbies.” The emerging immunotherapeutic treatments for pancreatic patients will be explored, in order to provide more rational treatment recommendations for the patients of pancreatic cancer.
Convergence and Innovation of Artificial Intelligence in Corporate Strategic Planning: Opportunities, Challenges and Future Research Directions
Authors: Li Danni
Published: October 2024

In the contemporary digital era, the swift evolution of Artificial Intelligence (AI) has not only revolutionized various sectors but has also become an indispensable asset in corporate strategic planning, decision-making processes, and operational efficiency. This paper delves into the multifaceted applications of AI across a myriad of industries, providing a comprehensive analysis of its integration into corporate strategy and its profound impact on business operations. This study adopts a comprehensive research methodology that merges qualitative case studies with quantitative data analysis to scrutinize the practical use of AI in strategic planning. It delves into the interdependent relationship between AI and conventional digital frameworks, such as Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) systems. The research aims to illuminate how the fusion of these technologies can substantially enhance corporate competencies and optimize operational workflows. The study's findings indicate that while AI has the potential to offer transformative solutions, its integration into strategic planning is not without challenges. Ethical considerations, legal ramifications, and societal implications must be carefully navigated. Additionally, the study reveals a notable void in existing literature concerning the enduring strategic ramifications of AI and its effects on corporate culture and talent management practices. This gap highlights the need for further exploration into how AI shapes the long-term strategic direction and internal dynamics within organizations.
Investigation Upon Factors Contributing to Housing Price Variations-Specifically Sydney for Reference
Authors: Pang Haowen
Published: October 2024

The purpose of the article is to determine the small aspects that can affect the overall housing prices around the globe. It will be established by looking into one specific area and finding the relationship between them. This research will be using a multiple linear regression model to find the connection. The study used 300 samples and 9 variables each, all are possible variables that can influence overall house price. The data are from Sydney Urban areas collected during the 2020-2021 house market. For the outcome to be valuable, this research will be comparing the significance and VIF value for those variables to find out the biggest connection. Through this process, the null data was deleted as much as possible. As a result, this article discovered that Safety and Median house rent are the biggest influencing factors to the house price. The two factors are the most considered during a house purchase. And the price of Sydney urban houses can be determined by those two factors.
Meta-analysis on the Diagnostic Value of SDC2 Methylation in Colorectal Cancer Screening Among Chinese
Authors: Wu Yi
Published: October 2024

To systematically evaluate the diagnostic value of syndecan-2 (SDC2) gene methylation status in the detection of Colorectal cancer (CRC) and advanced adenomas (AA) through meta-analysis. Databases including PubMed, Web of Science were searched from 2020 to June 14, 2024. Relevant studies were selected based on predefined inclusion and exclusion criteria. The true positive (TP), false positive (FP), false negative (FN), and true negative (TN) results were calculated for each study. The quality of the included studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. A bivariate meta-analysis model was used to pool the sensitivity, specificity, diagnostic odds ratio (DOR), positive likelihood ratio (PLR), and negative likelihood ratio (NLR), and a summary receiver operating characteristic (SROC) curve was constructed. Spearman’s correlation coefficient, Cochran-Q test, and I² test were used to evaluate heterogeneity. Sensitivity analysis was performed to explore the potential sources of heterogeneity. 24 literatures were included for meta-analysis. The pooled sensitivity was 0.77 for CRC and 0.52 for AA, and the pooled specificity was 0.93 for CRC and 0.91 for AA. The pooled PLR was 10.63 for CRC and 5.57 for AA, and the pooled NLR was 0.25 for CRC and 0.53 for AA. The DOR was 43.21 for CRC and 10.47 for AA. The SROC AUC was 0.91 for CRC and 0.83 for AA. The methylation level of the SDC2 gene in stool samples has significant diagnostic value for colorectal cancer and is considered an ideal biomarker for the early detection of this disease.
An Empirical Study on Asset Pricing Models Based on The Chinese A-Share Market
Authors: Wang Yuwen
Published: October 2024

Based on the analysis of the A-share markets in Shanghai and Shenzhen Stock Exchange from 2000 to 2023, this paper systematically evaluates the applicability and explanatory power of the Capital Asset Pricing Model (CAPM), the Fama-French Three-Factor Model (FF3) and the Fama-French Five-Factor Model (FF5) in the Chinese market. The study finds that although CAPM has some explanatory power in the early stage, the three-factor and five-factor models can better explain the cross-sectional changes in stock returns as the market develops. In the descriptive statistics, each factor's volatility and correlation reveal the Chinese market's unique characteristics, such as the relative strength of small-cap and growth stocks. In the regression analysis, the results of the Fama-MacBeth regression showed that the significance and explanatory power of the market factor, size factor and value factor were different in different models. Further robustness analysis reveals the COVID-19's impact on the model's performance through the sub-period analysis. This paper provides a new perspective on understanding the asset pricing of China's A-share market and a theoretical basis for investors' investment decisions. It also points out the limitations of existing models in explaining emerging market equity returns. It suggests that future research can deeply explore the performance of more factors in different market environments.
An Analytical Study on Global Automotive Price Trends and Influencing Factors
Authors: Han Feiran
Published: October 2024

This study analyzes global automotive price trends and the key factors influencing these trends from 2018 to 2023. Using a mixed-method approach, it examines historical data, market conditions, and future projections. The findings highlight the impact of technological advancements, economic conditions, government policies, and changing consumer preferences on automotive prices. The study reveals a consistent increase in electric vehicle (EV) adoption, driven by government incentives and environmental awareness, alongside rising new car prices influenced by higher production costs and advanced features. Inflation and raw material costs have significantly impacted vehicle prices, while government subsidies have facilitated the broader acceptance of EVs. The results underscore the importance of understanding these dynamics for stakeholders to navigate the automotive market effectively. Future research should explore the long-term effects of emerging technologies and evolving regulations on automotive prices. Insights from this study are useful for manufacturers, policymakers, and consumers to make informed decisions in a rapidly evolving industry.
Impact of Equity Liquidity on Corporate Value—— Based on The Empirical Analysis of China's A-Share Listed Companies
Authors: Zhang Ruixin
Published: October 2024

Since the establishment of the Shanghai and Shenzhen Stock Exchange, China's stock market has experienced a development process from scratch, from small to large, and from weak to strong. During this period, the liquidity of China's stock market has increased significantly. The stock market can affect the real economy by changing the motivation and influencing the behavior of enterprises, which is crucial to economic development. Many scholars at home and abroad have studied the impact of stock liquidity on enterprise value from different perspectives. This paper finds that the stock liquidity has a significant positive impact on the value of enterprises. The higher the level of stock liquidity, the higher the enterprise value, and the company's equity structure can play a role as an intermediary variable in the process of stock liquidity affecting the enterprise value.
The Changes of Consumer Psychology and Price Sensitivity in Uncertainty: A Case Study of Fast Fashion Brand ZARA
Authors: Sun Yanjie
Published: October 2024

In recent years, there has been a collective decline in the development of fast fashion clothing brands in the Chinese market. Taking ZARA as an example, its parent company Inditex Group has undergone large-scale store adjustments globally in the past two years, especially in the Chinese market, where the number of ZARA stores has decreased by nearly half compared to four years ago. While Inditex's global revenue has grown, there has been a significant decline in revenue in mainland China. Therefore, understanding how the fast fashion industry was accepted by the Chinese market in the past and why it is now being excluded has gradually become important. For the clothing industry, market decision-making power has shifted from clothing merchants to consumers, and consumer psychology has undergone certain changes, and in fact, they have gained some bargaining power. As a product aimed at the general public, fast fashion brands have lower customer loyalty. Customers are more sensitive to price changes. In the rapidly changing and uncertain environment, the drawbacks of the fast fashion brand model have begun to emerge: convergent styles, unstable channels, and environmentally unfriendly production models, etc., which no longer have sufficient competitiveness in the current market. Therefore, this article intends to use literature research and case analysis methods for research, and to address the above issues, some suggestions are proposed, hoping to help fast fashion brands retain and expand the Chinese market.
Research on Sequence Clustering and Alignment in DNA Storage Based on the K-Means Model
Authors: Yang Guanglin , Zhu Yinting
Published: October 2024

The technology of DNA storage uses artificially synthesized deoxynucleotide chains to store information, ensuring precise and error-free reading. Compared with traditional electronic information storage, it has advantages in terms of capacity, density, and energy consumption. In this study, a K-Means clustering model is constructed with the aim of accurately clustering DNA sequences after DNA storage sequencing. To objectively evaluate the effectiveness of the model, clustering results are compared in detail with the correct DNA sequences. Experimental data show that when processing 100,000 DNA storage sequencing sequences, the accuracy of the model exceeds 90%, and the entire clustering process only takes 10 seconds. This result fully demonstrates the important role of the K-Means model in restoring original information sequences in DNA storage and provides a solid theoretical and practical foundation for future research.
Optimizing Retail Inventory Management Through Time Series Analysis
Authors: Fu Ziyan
Published: October 2024

The purpose of this study is to investigate the application of time series analysis in the management of retail inventory, with a particular emphasis on the precision of forecasting as well as the applicability of ARIMA models and seasonal decomposition techniques. This study aimed to evaluate these models' effectiveness in improving the scientific and precise nature of inventory management. This was accomplished by using legitimate retail data. According to the findings, the ARIMA model is effective in managing data that is stable or does not exhibit seasonal patterns. On the other hand, the seasonal decomposition technique demonstrates strong forecasting accuracy in managing data that exhibits seasonal fluctuations. Not only does this research improve the theoretical implementation of time series analysis in the retail sector, but it also provides retailers with practical strategies for mitigating economic losses that are caused by inventory imbalance. When it comes to the management of retail inventory, the findings of the research are significant for improving both overall cost control and customer satisfaction.
The Dynamics of Disparity: A Comprehensive Analysis of the Causes and Consequences of Income and Wealth Inequality and Policy Interventions for Mitigation
Authors: Wang Zhangyifan
Published: October 2024

In today's global economy, economic disparities remain a pressing issue, persisting across different societies. This paper explores the causes, impacts, and potential policy interventions to address income and wealth inequality. The analysis draws on insights from prominent economists such as Darren Acemoglu, James A. Robinson, Joseph E. Stiglitz, Branko Milanovic, Thomas Piketty, and Emanuel Saez. According to the study, globalization, automation, and labor market dynamics are key economic factors driving inequality. In addition, political and social factors, including tax policies, governance models, and access to education and healthcare, significantly impact economic distribution. The consequences of inequality are multifaceted, affecting economic growth, social mobility, social health, and political stability. Furthermore, this paper discusses various policy interventions, such as progressive taxation, improved access to quality education and healthcare, and more robust social safety nets, as potential solutions to mitigate the adverse effects of economic disparities and promote a more equitable distribution of wealth.
The Influence of Legalization of Gambling Industry on The Change in Urban Labour Output
Authors: Ao Yungaowa
Published: October 2024

A side from the fact that gambling stimulates crime in places such as Britain, Las Vegas and Macau, it has boosted tourism and the region's Labour force. The legalization of gambling industry has promoted the formation of a huge business system in Singapore, Las Vegas and other areas to meet the needs of gamblers, such as catering, hotels and luxury goods. And in the early stage of legalization, the local crime rate will not increase significantly but the unemployment rate will drop greatly. So as long as the government regulates it properly, the gambling industry should not deal a serious blow to the local economy.
Differential Economic Impacts of Chinese and American Trade Policies on Developed Versus Developing Nations
Authors: Dong Changming
Published: October 2024

The trade conflict between the United States and China, the two largest economies in the world, has considerable implications for global economic stability and growth. This topic has been selected due to the necessity of understanding how these trade disputes impact other countries, particularly those heavily dependent on exporting goods to these major economies. The analysis aims to investigate the varied effects of the trade war on both industrialized and developing nations. An analysis is conducted to examine the differential effects of the trade war on industrialized and developing nations by studying the changes in GDP growth rates, unemployment rates, and balance of trade trends. This study examines the distinct economic effects of the China-US trade war on Germany, Canada, and Mexico, which serve as representative examples of developed and developing nations. The results emphasize the significance of customized policy measures to tackle the distinct difficulties and prospects encountered by various economies. Developed countries should prioritize efforts to reduce sluggish economic development and address unemployment in specific sectors. On the other hand, developing nations should take advantage of trade diversion benefits and strengthen their economic resilience. This study enhances the awareness of global trade dynamics and offers vital perspectives for policymakers seeking to negotiate the intricacies of international trade wars.
Research on the Impact of ESG Performance on Stock Price Volatility of Enterprises: Empirical Evidence from A-share Listed Companies
Authors: Yelaman Mulatihan·
Published: October 2024

As socially responsible investment and sustainable development gain traction, the ESG performance of companies is increasingly attracting investor and public attention. ESG ratings help identify responsible firms, enabling assessment of their contributions to sustainable growth.This article examines Shanghai and Shenzhen A-share data, focusing on the impact of ESG performance on stock price volatility. Key findings include:A significant negative correlation exists between stock price volatility and ESG performance; higher ESG ratings correspond to lower volatility;he nature of property rights affects this relationship, with non-state-owned enterprises benefiting more from ESG performance in reducing volatility than state-owned enterprises;Policy uncertainty in a company's location significantly moderates the relationship, with greater uncertainty intensifying the negative impact of ESG performance on stock price volatility.This research enhances understanding of the economic consequences of ESG performance and helps investors recognize its value, improving capital allocation efficiency.
The Applicability of The Pecking Order Theory in The Digital Economy
Authors: Cui Yuqi
Published: October 2024

The Peck Order Theory (POT), proposed by Myers and Majluf in 1984, posits that firms prioritize their sources of financing based on the principle of least resistance, starting with internal financing, followed by debt, and ending with equity as a last resort. In the context of the digital economy—which is defined by new finance mechanisms and technical advancements like big data, blockchain, crowdsourcing, and artificial intelligence (AI)—this study investigates the applicability and relevance of POT. This study investigates how these contemporary tools impact conventional financing behaviors and preferences through an extensive literature review.The findings suggest that while POT remains a powerful framework, its application in the digital age needs to be modified to account for the reduced information asymmetry and increased efficiency brought about by digital innovations.
Application Prospect Analysis of 3D Printing Technology in Industrial Manufacturing
Authors: Zhang Qiang , Li Wenjie , Yang Jifeng
Published: October 2024

This paper deeply and comprehensively discusses the application status of 3D printing technology in the field of industrial manufacturing and the broad development prospects in the future. Through the in-depth analysis of the principle and characteristics of 3D printing technology, the significant advantages of 3D printing in industrial manufacturing are clearly expounded. At the same time, the specific application examples of the technology in aerospace, automotive, medical and other key and important industrial fields are studied in detail and systematically, and the possible expansion direction of the future is scientifically and reasonably predicted. The purpose is to provide valuable and instructive reference for the related research and practice in the field of industrial manufacturing.
Policy Text AI Mining Study —— A Comparative Analysis Based on U.S., U.K., and Chinese Policies
Authors: Wang Zixian
Published: October 2024

Artificial Intelligence (AI) has become a key strategic area to enhance national competitiveness globally. We adopts a textual analysis methodology, based on the three-dimensional framework of policy tools and the LDA thematic model, to conduct a systematic analysis and comparative study of the AI policy texts of the United States, the United Kingdom, and China. The study aims to reveal the policy stance, strategic planning, and challenges and opportunities faced by the three countries in the field of AI. Through the analysis, the study identifies the major themes in the policy texts of each country and maps them to the three dimensions of supply, demand, and environment of policy tools. The study finds that the US AI policy focuses on international cooperation, fair civil rights, and innovation ecology; the UK emphasizes ethical governance and legal regulation; and China highlights innovation-driven and smart economy development. In addition, all three countries emphasize building a stable, predictable and innovation-supportive policy environment. The study puts forward a series of comprehensive recommendations, including strengthening international cooperation, balancing innovation and regulation, optimizing a supportive innovation ecosystem, improving the legal system, focusing on talent cultivation, and building an AI innovation alliance. These recommendations aim to promote the healthy development of global AI technologies and maximize their positive contributions to the economy and society.
Pricing Model Construction and Empirical Research on Catastrophe Bond Pricing for Three Major Crops in China
Authors: Chen Luo
Published: October 2024

Agricultural disaster risks are significant for the sector's development, and existing risk management tools have limitations.This paper introduces a nationwide catastrophe bond for wheat, maize, and rice , offering broad coverage for China's agriculture. The paper utilizes marginal distribution and Copula function fitting to model the disaster losses of the three major crops from 1990 to 2022. It employs Monte Carlo simulation to generate a 10,000-year event set and rank correlation to align simulated data with real data. The bond price is then calculated using the Wang model, addressing the challenge of data scarcity and providing an innovative approach to catastrophe bond design. The study finds that bond prices increase with the coverage period and risk level, with interest-risk bonds offering higher returns and risks than principal-and-interest risk bonds. Catastrophe bonds present a more stable risk diversification method compared to reinsurance, both in terms of returns and potential losses.To further the development of agricultural catastrophe bonds, the paper recommends optimizing the issuance environment and establishing a robust market infrastructure.
Measurement and Analysis of The Development Level of Open Economy: A Case Study in Jiangsu Province
Authors: Zhang Xueru , Yu Jing
Published: October 2024

In recent years, the international landscape has rapidly evolved, presenting new challenges and opportunities for open economies. Using Jiangsu as a case study, this article assesses the province's open economy level through global factor and cluster analysis. Research has found that the overall development level of open economies in various cities has shown a tortuous growth trend, with significant regional differences between cities, indicating that the previous model of winning by quantity is no longer applicable. This article further analyzes the existing problems and provides relevant basis for policy improvement.
Computational Analysis of Cell Type-Specific Transcriptional Dynamics in Major Depressive Disorder
Authors: Zhang Elaine
Published: October 2024

Depression, also known as major depressive disorder (MDD), is a complex mental health condition that affects millions of people worldwide. Since disease treatments often depend on levels of understanding, this project strives to learn more about the transcriptional components of MDD to delineate the transcriptomic dynamics in MDD. The sample includes the single-cell transcriptomic profiles in the dorsolateral prefrontal cortex (dlPFC) of 34 postmortem patients. This data was acquired from publicly available datasets and run through R-Studio code. Cell clusters were classified into cell types using cell-type-specific signature markers in the original resource datasets. After analyzing immediate early genes (IEGs), MDD-associated genes, and differentially expressed genes, the trend showed broadly lowered expression levels and frequency in MDD patients than in healthy control with some exceptions. After studying 10 different IEGs, the trend showed a lowered gene expression frequency in MDD patients than in control. For MDD-associated genes, a similar trend showed lower frequency and expression levels in the MDD sample, apart from GAD1 and RELN, which had a higher expression level in the MDD sample. Then, by analyzing the top differentially expressed genes in each cell type, most cells showed a lowered frequency in MDD patients besides macrophage/microglial, which had higher expression frequency in IGHG1 and RP11-315A16.1 for the control sample. With each analytical finding, the underlying elements of MDD may be better understood, leading to more precise wet lab experiments and the eventual treatment of MDD.
A Review of Research on The Impact of Differential Order Atmosphere
Authors: Li Shitong
Published: October 2024

At present, research on the differential order atmosphere mainly focuses on its impact. The outcome variables mainly focus on behavior, and cognition and emotion are often used as mediating variables between perceived differential order atmosphere and employee work behavior. Scholars have not reached a consensus on whether the impact of a differential order atmosphere on employee behavior, cognition, and emotions is negative or positive. The research on the outcome variables of differential order atmosphere mainly focuses on three aspects: team and individual performance, employee silence and indifference behavior, and knowledge sharing and destruction. Some research on the differential order atmosphere currently only focuses on the consequences of its effects, without delving into the underlying mechanisms; Moreover, the impact of differential order atmosphere on employee behavior, cognition, and emotions is uncertain, and the effect of differential order atmosphere may have boundary conditions. Previous studies have explained this through organizational factors, leadership factors, and personal factors such as team trust, narcissistic leadership, regulatory orientation, and psychological resilience.