bluuebunny/crossref_metadata_2025 huggingface dataset:
BRCA Gene Mutation Testing in Ovarian Cancer Patients and Its Impact on Targeted Therapy
Authors: Feng Yuling
Published: December 2024

Ovarian cancer is a highly fatal gynecological malignancy, with its early symptoms being subtle, resulting in most patients being diagnosed at an advanced stage. Studies have shown that BRCA gene mutations hold significant clinical importance in ovarian cancer patients. Mutations in the BRCA1 and BRCA2 genes are not only closely linked to the onset of ovarian cancer but also play a crucial role in its progression and treatment. The advancement of gene sequencing technology has provided more efficient and accurate methods for detecting BRCA mutations, particularly with the application of next-generation sequencing (NGS), which has greatly improved both detection rates and accuracy. In the field of targeted therapy, PARP inhibitors, as a novel treatment strategy, have been widely applied to ovarian cancer patients with BRCA mutations. These inhibitors work by suppressing the DNA repair pathway, inducing apoptosis in cancer cells, thereby significantly extending patient survival. However, resistance to PARP inhibitors in some patients remains a key challenge in current research. With the deepening of individualized treatment concepts, BRCA mutation testing not only assists doctors in assessing patient sensitivity to PARP inhibitors but also provides critical insights for developing personalized treatment plans. This paper reviews the clinical applications of BRCA gene mutations in ovarian cancer, explores gene testing technologies and their impact on targeted therapy, and emphasizes the analysis of the mechanisms and resistance issues associated with PARP inhibitors, aiming to provide theoretical support for precision medicine in ovarian cancer patients.
An approach to increase efficacy against triple negative breast cancer using an engineered multigenic vaccinia virus combined with CAR T-cell therapy
Authors: Chen Baoyi , Du Yibeile , Wu Yingxuan , Yu Chang , Zhuang Boya
Published: December 2024

Triple negative breast cancer (TNBC) is an aggressive subtype with poor prognosis and limited treatment options. Conventional therapies often lead to systemic relapse, and cancer immunotherapy faces challenges such as insufficient immune activation and lack of tumor specificity. To overcome these limitations, we propose a novel strategy using an engineered oncolytic vaccinia virus (VV) combined with chimeric antigen receptor (CAR) T-cell therapy to treat TNBC. This oncolytic virus is designed to increase tumor specificity through the expression of anti-MUC-1 and ANTXR1 and to reprogram the tumor microenvironment (TME) by integrating PD-L1 inhibitor, CCL5, GM-CSF, and IL-2. This is expected to significantly increase recruitment and function of macrophages, NK cells, granulocytes, and T cells within the TNBC TME and to enhance tumor cell lysis. Additionally, the VV is expected to increase CAR T-cell proliferation and their specific targeting of TNBC cells. Our model provides a specific and immunologically potent treatment for TNBC. Future directions include addressing tumor heterogeneity and minimizing antiviral immune responses.
Application of CRISPR/Cas9 based therapy in SCD, DMD and HIV
Authors: Shen Mia
Published: December 2024

Gene editing has revolutionised the possibilities of molecular biology, and the emergence of CRISPR as the novel groundbreaking genome engineering tool has since proved superior to its predecessors such as TALENs and ZFNs owing to its cost-effectiveness, simplicity of design, flexibility and high specificity. Under the guidance of gRNA, the endonuclease Cas9 could achieve manipulation at nearly any location. This review concentrates on the application of CRISPR/Cas9 based therapies in three diseases-SCD, DMD and HIV. By taking a corresponding drug or frontier research as an example, its mechanism and efficiency are clearly illustrated. For instance, Casgevy, a CRISPR/Cas9 based drug, used to treat SCD, which could modify the mutation in HBB and rescue the aberrant production of foetal haemoglobin, has proven to be in high efficiency. In the therapy of DMD, a similar strategy is adopted, except taking AAV as the delivery vector. For HIV treatment regimen, instead of targeting host genome, the Cas9 aims to engineer the promoter of pathogen, inhibiting the pathogen activity and clearing the latent infected HIV virus permanently. According to the clinical data, all of these methods tend to be therapeutic alternatives. However, despite CRISPR/Cas9s plethora of merits, its challenges require further in-depth research and strategies of prevention before its routine application in disease treatment. This review briefly discusses its most significant shortcoming of off-targets effects, which can lead to fatal genetic mutations, and the potential interventions.
Research and Application of Hyperbaric Oxygen Chambers
Authors: Yang Xiyao
Published: December 2024

Hyperbaric oxygen chamber is a medical device that improves the oxygenation capacity of human tissue by increasing the ambient pressure and oxygen concentration. It has been widely used in a variety of clinical treatments and other fields. This study aims to systematically evaluate the application effects of hyperbaric oxygen chambers in different medical fields, explore its potential therapeutic principles and analyze its future development. Through a literature review, the study focused on the application of hyperbaric oxygen chambers in decompression sickness, carbon monoxide poisoning, chronic diseases and burn injuries. The results showed that hyperbaric oxygen chambers can significantly promote tissue regeneration, reduce nerve damage, and improve the survival rate of patients with carbon monoxide poisoning. Beyond medical applications, hyperbaric oxygen therapy is gaining recognition in the fields of sports recovery, beauty, and wellness, where it is used to enhance athletic performance, improve skin quality, and promote overall health. The conclusion of this study is that hyperbaric oxygen chambers have broad clinical application prospects as an auxiliary treatment method. With ongoing advancements in artificial intelligence and big data, the future of hyperbaric oxygen chambers is likely to see more personalized and intelligent systems, enabling treatments tailored to individual patient needs. Additionally, the development of portable and home-use chambers will increase accessibility, allowing more patients to benefit from this therapy outside traditional medical settings.
Correlation Analysis between Ankle Joint and Core Strength
Authors: Sui Dongrun
Published: December 2024

The ankle is one of the maximum crucial joints withinside the body, gambling a vital function in helping weight and preserving balance. However, the correct shape of the ankle makes it particularly at risk of injury. Statistics display that the prevalence of ankle injuries is growing each year, as is the funding in ankle care. If not well managed, ankle injuries can take a bodily and highbrow toll on patients. Therefore, it is crucial to recognize and prevent ankle injuries. This paper opinions the literature on ankle anatomy, critical troubles, epidemiology of ankle troubles and rehabilitation. It concludes that the maximum common ankle injuries include ankle sprains, fractures and arthritis. According to the spiral muscle chain theory, strengthening the middle muscle tissues may be powerful in preventing ankle injuries.
Current knowledge of apoptosis and targeting apoptotic pathways for cancer therapy
Authors: Yang Yixin
Published: December 2024

The dual role of programmed cell death (PCD) has been detected in multicellular organisms, contributing to diseases such as cancer. This dissertation discusses current knowledge of apoptosis, the most studied form of PCD, and evaluates potential therapies targeting its pathways, which are crucial for maintaining tissue homeostasis and preventing irregular cell proliferation. In cancer, cells often evade apoptosis by inhibiting cascade activation, highlighting the importance of understanding the initiation phase of apoptosis. Based on the abnormalities in cancer pathogenesis along both intrinsic and extrinsic pathways, which include death receptors (DRs), B cell lymphoma (BCL)-2 family of proteins, and the Second Mitochondria-derived Activator of Caspases (SMAC), researchers have developed cancer therapies that promote apoptosis based on their underlying mechanism. However, recent studies reveal that apoptotic cells may influence the tumour microenvironment (TME), implying the possibility of apoptosis to promote tumour progression. These findings indicate the need for future studies to develop more effective therapeutic strategies that target other types of PCD other than apoptosis.
Progress in Diabetes Mellitus Treatment
Authors: Du Hongliang
Published: December 2024

Hyperglycemia, a chronic condition caused by either absolute or relative insufficiency of insulin production and poor insulin utilisation, is the hallmark of diabetes mellitus. Type 1, type 2, and gestational diabetes are the three primary classifications of the condition. The primary cause of the illness is thought to be a confluence of environmental and genetic factors, such as the body's insensitivity to the effects of insulin or a decrease in insulin secretion brought on by pancreatic islet cell dysfunction, which both impede the body's ability to use and store blood glucose. Diabetes has a long history of development. The disease was first named diabetes in the Yellow Emperor's Neijing patients who had polyphagia, polydipsia, polyuria, and weight loss. Of course, the disease's treatment history is even longer, beginning with the discovery of insulin and continuing with a gradual analysis of the pathology of diabetes and other therapeutic techniques to improve diabetes treatment. Currently, insulin injections, which work on the principle of promoting glucose, are used to treat diabetes. Insulin is currently administered intravenously to treat diabetes. Insulin helps control blood glucose levels by enhancing glucose absorption and utilisation, preventing the release of hepatic glycogen, and encouraging the synthesis of fatty and amino acids. This article contains the history of the development of the disease, the first panel is the background, in the history of the development of the disease is divided into the history of the discovery of diabetes and the history of the treatment of diabetes, in the discovery of diabetes in the history of the panel only lists the important historical nodes, in the history of medical treatment of diabetes is written from the beginning of the discovery of insulin once in 1921, a lot of scientists have made their own unique contribution to diabetes. The clinical features of the disease are of course included, as well as an overview of the most common insulin treatments available. The second panel is an introduction to the pathogenesis of diabetes mellitus, which addresses the relevant mechanisms of diabetes mellitus and includes important proteins of interest in the pathogenesis of diabetes mellitus. The third panel is an overview of the treatment modalities, the four current treatment modalities, and my thoughts on how to improve them.
The Treatment of Cardiovascular Disease
Authors: Li Xinyang
Published: December 2024

With the public's attention to public health and disease prevention and treatment, cardiovascular disease has gradually entered people's vision, and its treatment and prevention have become a topic of great concern in today's society. Cardiovascular disease is the leading cause of death in the world. There are many classification methods for cardiovascular diseases. This article mainly introduce cardiovascular diseases from the etiological classification. And cardiovascular diseases can seriously affect Peoples Daily life. Most cardiovascular diseases can be divided into two main groups according to their causative factors: congenital heart disease and acquired heart disease. This article will discuss the causes, treatment, prevention and control of two specific diseases (ventricular septal injury and coronary heart disease) in detail. For the ventricular septal injury, the main treatment is transthoracic closure surgery .For the coronary heart disease, the main treatment is Medical treatment and surgical treatment. Finally, the principles and limitations of each treatment for these two cardiovascular diseases are discussed and summarized. For medication, some medications can cause serious side effects such as dizziness, nausea and rash; Some patients may develop drug resistance after long-term drug treatment; The effectiveness of drug therapy varies from person to person due to differences in individual constitution and metabolic capacity. For surgical treatment, the main limitations are the limitation of indications, high requirements of surgical techniques, and difficult control of surgical risks.
Overview and future development of CAR-T therapy
Authors: Gu Haixuan
Published: December 2024

Cancer, as one of the highest mortality rate diseases, and the research on its treatment is endless. Traditional therapies like chemotherapy or radiotherapy all have serious side effects and unstable therapeutic effects. The treatment process of patients is excruciating. Therefore, CAR-T cell therapy as a bright star in immunotherapy gradually emerged in the world. CAR-T therapy needs to alter a patients own T cells to kill cancer cells, so it has high specificity for each individual and can design the most suitable CAR-T cells for different patients based on their immune systems and tumor cells status. Its strong proliferation and survival ability let patients have a long-term anti-tumor effect and prevent the recurrence of cancer very well. Although it still has side effects, unstable durability and the threat of immune escape mechanisms, it still shows good results in many clinical trials which undoubtedly proves that it is a way to treat cancer with great potential. CAR-T will gradually improve its safety and durability to address the demand of more patients as technology and instruments improve. This review discusses the basic principles of CAR-T, applications in clinical trials, difficulties and impendingfuture of CAR-T therapy, gives a thorough overview of the present situation and potential development of CAR-T therapy in cancer treatment.
Current status and future development direction of treatment for essential tremor
Authors: Zhou Zilun
Published: December 2024

Essential tremor (ET) is a common movement disorder that continues to increase in prevalence. Currently used drugs such as propranolol and primidone have limited efficacy and are associated with a high number of side effects. For individuals with serious conditions, deep brain stimulation (DBS) is an effective therapy, but its high cost and potential surgical complications limit widespread use. Emerging therapies including Magnetic resonance-guided focused ultrasound (MRgFUS) and Gamma Knife radiosurgery thalamotomy (GKT) offer new options for treatment, but their long-term effects still need to be proven. Future treatment directions should focus on personalized and low side-effect regimens to enhance patients' quality of life. This article reviews existing treatments and discusses future directions.
Exploring the role of circadian rhythms in Polycystic Ovary Syndrome
Authors: Dong Zhentian
Published: December 2024

Polycystic Ovary Syndrome (PCOS) impacts 7% of women of reproductive age and is linked to metabolic syndrome, diabetes, cardiovascular conditions, and more. There hasn't been an exact explanation for the cause of this disease. Despite extensive research, the complete pathophysiology of PCOS remains elusive. One intriguing avenue of investigation is the association between PCOS and circadian rhythms. Sleep disorders, a symptom of PCOS, is controlled by circadian rhythms. Women with PCOS have been proven to suffer from sleep disorders, indicating a relation between the two. Furthermore, studies have shown that PCOS affects the endocrine system, which is vital in regulating circadian rhythms. Numerous studies have been done on the relationship between PCOS and circadian rhythms on a genetic level, where Cytochrome P450(CYP) genes and CLOCK genes are affected by PCOS pathogenesis. The regulation of circadian rhythms plays a positive role in the mitigation and treatment of PCOS. The physiological connections between PCOS and circadian clocks are presented in this review. It draws attention to the most recent studies on the relationships between circadian disorders and PCOS, which suggest a possible explanation and alleviation for the syndrome.
CAR-T therapy in acute lymphoblastic leukemia (ALL): current clinical applications and beyond
Authors: Han Ella Peiwen
Published: December 2024

Chimeric antigen receptor T-cell (CAR-T) therapy has revolutionized the treatment landscape for acute lymphoblastic leukemia (ALL), particularly in relapsed and refractory (r/r) B-cell ALL. This review explores the efficacy of this therapy targeting CD19 and CD22, addressing the challenges of antigen escape, treatment durability, and manufacturing delays. Innovative strategies, including bispecific CAR-T and FasT CAR-T technology, promise to overcome these limitations by improving production timelines and reducing relapse rates. The review further highlights the potential of combining CAR-T therapy with radiation or sequential targeting to enhance long-term outcomes in high-risk patients. Although CAR-T therapy has demonstrated significant clinical success, ongoing research is essential to improve persistence, reduce toxicity, and expand its applicability across broader patient populations.
Solving the global organ shortage by researching pig organ transplantation
Authors: Liu Tianchuan
Published: December 2024

Diseases such as organ failure or serious organ damage caused by accidents make organ transplantation become a key research area for scientists in today's society. The immune rejection and the lack of organ supply after organ transplantation are important factors limiting the success of transplantation. Due to the particularity of this field and the urgent need of researchers for clinical entity trials of organ transplantation, organ allotransplantation of non-primate, pigs, which are similar to humans in physiological and anatomical aspects and have high moral rationality, has attracted wide attention. With the in-depth research of immunology and genetics, gene coding, gene knockout and other technologies began to be applied to pig kidney and heart transplantation. Due to the obvious structural advantages of pigs, and the high familiarity of humans with pigs, the transplantation of highly complex lungs and livers can also be solved by genetic technology. From the perspective of individual tissues and genes, this paper explores the feasibility of pig organ transplantation by discussing the difficulties and solutions of pig organ transplantation, hoping to shed some light on the future development of xenotransplantation.
The Impact of Microplastic Bioaccumulation on Marine Ecosystems
Authors: Song Shuran
Published: December 2024

Microplastics, resulting from the decomposition of human-produced plastic waste, were first discovered in the ocean and have significantly disrupted marine ecosystems, causing widespread biological and ecological issues. These problems are severe, and no comprehensive solution has been developed to date. To address these challenges, studying the bioaccumulation process of microplastics and their impact on marine ecosystems is essential for developing effective solutions. This paper reviews recent research on marine microplastics, focusing on their sources, bioaccumulation mechanisms, ecological impacts, and future research directions. The results show that the bioaccumulation of microplastics has a significant negative impact on marine ecosystems and human health. Microplastics not only cause physical pollution but are also toxic, threatening marine biodiversity and potentially harming humans through the food chain. Future research should focus on improving the detection, identification, and degradation of microplastics in real-world environmental conditions, as well as developing standardized methodologies for their analysis.
Overview of Meniscus Injury Treatment
Authors: Jiao Jinnan
Published: December 2024

Meniscus injury, a common knee injury among all age of people, can be tear or rupture in the meniscal cartilage. It can be caused either by traumatic issues or degenerative issues happen on elder population. This passage addresses different types of injuries including longitudinal, transverse, radial, complex, and degenerative tears. And for each type of injury, it is studied on its epidemiology, methods of examinations, and repair and rehabilitations. Specifically, the structure of meniscus is closely examined in this essay to better examine the degree of injuries and the possible treatments or repair that can be done. Some examination techniques, such as MRI, X-rays, and physical examinations, and there is detailed explanation of some examinations work to examine if there are any injuries in meniscus. Additionally, this essay also investigates the different repair methods (surgical operations) by evaluating the advantages and drawbacks of each. In the end, it discusses some rehabilitation method for meniscus injuries recovery, including some exercises and strengthen the muscles to promote the stability in the joint, accelerating the rehabilitation process.
New Quality Productivity Empowers Enterprises Risk-Driven Innovation -- Taking BYD's Entry into New Energy Vehicle Insurance Industry as an Example
Authors: Wang Zisen
Published: December 2024

Abstract: Driven by the new wave of revolution in the science and technology industry, emerging industries are emerging one after another, with huge potential and unpredictable risks coexisting. The concept of new quality productivity came into being,which represents the innovation of productivity and the future development trend of advanced productivity. This paper uses a conceptual analysis method to study and analyze the logical ideas of risk-driven innovation of enterprises empowered by new quality productivity, and takes BYD's entry into the new energy vehicle insurance industry as an example to conduct a case analysis. The study demonstrates the positive role that new productivity plays in empowering enterprise innovation at the technical level and building an innovation culture for enterprises when firms engage in risk-driven innovation. Based on this, the study suggests innovative behaviors for relevant enterprises to explore new industries in the future. Enterprises with innovation needs can realize risk-driven innovation by utilizing new quality productivity from multiple perspectives, such as enhancing core technology R&D capabilities, cultivating new production factors, forward-looking planning for new industries, and shaping the supply chain pattern of new industries.
Theoretical Analysis of Dependence Structures for Credit Risk+ Framework
Authors: Mo Yiming
Published: December 2024

The Credit Risk+ model is an influential method to evaluate the default risk level of a credit portfolio in the financial and insurance industry. As an essential modelling technique in the Credit Risk+ framework, dependence structure models relationship between default probability and risk factors using a variety of statistical methods. This research paper analyzes the dependence structure related to default correlation and sector dependence among classic and enhanced Credit Risk+ models. At first, the concepts of default event and default probability are discussed within classic models for explaining the connection between default correlation and risk factors. Then, given the limitations of classic models, two enhanced models are presented to incorporate sector dependence generated by additional Gamma-distributed variables. Based on previous literature and probability theory, this paper revisits methods of deriving the correlation coefficient for default dependence and the variance-covariance for sector dependence. The proof results show that default correlation is associated with default probability and sector characteristics. Also, the multi-system model, which develops sector dependence from a set of independent macro-economic variables via linear combination, provides a more flexible variance-covariance structure than the compound Gamma model.
The Impact of Digital Economy on the Upgrading of Industrial Structure: Based on the Perspective of Consumption Structure and Technological Innovation
Authors: Mi Jia
Published: December 2024

With the continuous changes in the structure of consumer demand and the rapid development of scientific and technological innovation, the digital economy is increasingly becoming an important driving force to promote industrial upgrading. This article explores the impact of it on industrial upgrading and the interaction of mechanism factors based on panel data from 31 provinces from 2014 to 2021. The empirical results indicate that: (1) The progression of the digital economy has obviously promoted the upgrading of China's industrial structure; (2) The digital economy provides consumers with more diversified and personalized consumption choices, and promotes the transformation of traditional industries to high value-added and high-quality directions; (3) The digital economy has promoted the continuous breakthrough and use of technology, changing the industrial production and business model, and promotes the development of the industry; (4) There is a two-way feedback between consumption upgrading and technological innovation, which jointly promote industrial upgrading. After robustness testing, the above conclusion is still valid. Finally, this article summarizes the positive influence of the digital economy on industrial upgrading and proposes policy recommendations from the supply and demand.
Innovative Business Analysis and Marketing Strategies: Unraveling Teslas Success in the Digital Age
Authors: Fu Ruining
Published: December 2024

This research examines the innovative business analysis and marketing strategies employed by Tesla, a leading electric vehicle manufacturer, in the digital age. The study analyzed Teslas business model, marketing strategies on social media and word-of-mouth (WOM), and the impact of these strategies on its success. Data was collected from publicly available sources, including Teslas official website, social media platforms, and industry reports. The analysis utilized SWOT and 4P frameworks to assess Teslas business model and marketing strategies. The study found that Teslas success can be attributed to its vertically integrated business model, its focus on sustainability and innovation, and its effective use of social media and Word of mouth (WOM) marketing. Teslas strategies have created a strong brand image, fostered customer loyalty, and driven significant market share gains. The findings suggest that companies in the automotive industry and other sectors can draw valuable lessons from Tesla's innovative approach to business and marketing in the digital age.
Low Fertilitys Socio - Economic Impact and Coping Strategies
Authors: Fei Linxi
Published: December 2024

In modern society, with the development of the economy and the improvement of people's living standards, the fertility rate generally shows a declining trend. This article uses the latest data to explore the causes of low fertility and the social and economic implications of declining fertility. The rising house prices and high educational costs will bring people a lot of financial pressure and make it difficult for them to raise a child. The acceleration of urbanization and female career development can take a lot of burden on adults and be the factors that lead people unwilling to have babies. The declining fertility rate will hurt the country and society, resulting in labor shortages, a smaller consumer market, and an increasing aging population. So increasing maternity benefits, improving the level of medical security, and optimizing fertility policies and services can be the strategies for low fertility.
Predicting Bitcoin Log Returns: A Comparative Analysis of Machine Learning Models
Authors: Liu Muyang
Published: December 2024

As the cryptocurrency market continues its rapid growth in both market value and trading volume, it has garnered significant attention. In response to this trend, this paper evaluates four machine learning modelsSupport Vector Regression (SVR), Random Forest (RF), Long Short-Term Memory (LSTM) networks, and Extreme Gradient Boosting (XGBoost)to predict the log return of Bitcoin, one of the leading cryptocurrencies. The primary objective is to determine which model performs best in predicting Bitcoin's log return. During the research, the website Kaggle.com provides a solid database for all of the model-training processes and evaluations. Multiple experiments are then conducted to optimize each model's hyperparameters for maximum performance. Afterwards, in order to test whether models have learnt the features of data well, metrics like mean squared error (MSE), mean absolute error (MAE), and R-squared (R) scores are computed and compared. According to the comparison, SVR outperforms the other models, achieving the best prediction accuracy. This paper offers some insightful information for analysts and researchers in the cryptocurrency domain. Additionally, it advances the area by offering a practical guide for utilizing machine learning algorithms to perform time series analysis, demonstrating their effectiveness in cryptocurrency market prediction tasks.
Enhancing Anti-Money Laundering Systems Using Knowledge Graphs and Graph Neural Networks
Authors: Yu Qilong
Published: December 2024

In today's increasingly complex financial landscape, traditional anti-money laundering (AML) systems are often inadequate in combating sophisticated financial crimes. This research aims to bridge that gap by integrating knowledge graphs with graph neural networks (GNNs) to enhance AML detection capabilities. The study leverages financial transactional data to construct a knowledge graph, employing GNN architectures, particularly Graph Attention Networks (GAT), to predict and detect potential money laundering activities. Empirical results demonstrate that GNNs are highly effective at uncovering intricate transaction patterns that conventional methods frequently miss. However, the GAT model encounters issues with generalization and overfitting, especially on larger test datasets. Sensitivity analyses highlight the critical influence of features such as transaction timestamps and payment formats on model performance. This research provides a data-driven, Artificial Intelligence (AI)-enhanced approach to advancing AML systems, offering practical insights for optimizing models and improving detection accuracy. Additionally, the findings present valuable recommendations for financial institutions and regulatory bodies, aiming to enhance compliance and fortify the security of financial markets. Future research will focus on further optimizing these models to address existing challenges and improve generalization.
Potential Problems and Solutions Faced by Bike-sharing System in China
Authors: Lin Aubert
Published: December 2024

This paper studied the development of the bike-sharing system in China, the challenges that bike-sharing system facing, and proposed solutions. Shared-bicycle is a convenient and environmentally friendly option for short-distance city travel, but it faced issues such as insufficient durability, poor application software performance, theft, and intentional destruction. This paper compares the large-scale deployment and adoption of dockless bicycle systems used by shared bicycle systems in China with the small-scale deployment in the West that prioritizes user experience and sustainability through the use of bicycle parking stations. Although shared-bicycles have a positive impact on the environment, economy, and transportation in China, technical issues and low operational efficiency have hindered user satisfaction and market growth. This paper proposes a series of suggestions, such as improving the durability, software performance, and anti-theft measures of bicycles, aiming promote the sustainable development and optimization of shared bicycle system in China.
Prediction of Option Prices by BP Neural Network Based on Principal Component Analysis
Authors: Yao Yiyuan
Published: December 2024

Under the development of artificial intelligence, this paper adopts the neural network algorithm based on principal component analysis to perform data fitting and prediction on the option prices of Huaxia SSE 50ETF. It also compares the fitting and prediction accuracy of the traditional Black-Scholes option pricing, time series option pricing model and BP neural network algorithm based on principal component analysis for option prices. For the time series model, by analyzing the ACF and PACF figures, the research builds an ARIMA(2,2,0) model. For Black-Scholes model, the study utilizes the relevant stock price information to build the model. The results show that the prediction of BP neural network algorithm based on principal component analysis is effective, and it has the highest fitting and prediction accuracy. The fitting accuracy of the traditional time series option pricing method is approximately the same as that of the Black-Scholes model, but the prediction accuracy of Black-Scholes is relatively higher.
Analysis of Marshall Amplification about Its Leadership, Culture, Market Analysis, Marketing Strategy and Strategic Human Resources
Authors: Zhou Xinyu
Published: December 2024

This paper provides an in-depth analysis of the leadership, organizational culture, market analysis, marketing strategy, and strategic human resource management of Marshall Amplification. Since its establishment in the 1960s, the company has garnered an outstanding reputation in the audio equipment industry for its innovative products such as guitar amplifiers, speaker cabinets, and personal audio devices. Despite the challenges posed by advancements in digital audio technology, the company has maintained its market position through its unique leadership style, market positioning, and strategic human resource management. By exploring these elements, this paper offers a comprehensive perspective on the trajectory of Marshall Amplification in the global market and envisions its future trajectory.
Application of 5G Technology in Jingdong Logistics --From a Management Perspective
Authors: Zhang Qi
Published: December 2024

5G technology is widely applied in various domains and occasions nowadays. When regarding the aspect of financial economy, 5G is of paramount importance for the operation of modern logistics. As one of the most outstanding digital retailers in China, Jingdong has performed well in its logistics with the aid of 5G technology. More importantly, Jingdong has also demonstrated management ingenuity in its 5G operations. This essay explores the integration of 5G technology into Jingdong Logistics, emphasizing its impact on managerial tactics such as decision-making and technology entrepreneurship. By employing case studies and theoretical models, the analysis reveals how 5G enhances Jingdong's logistics efficiency through improved data connectivity and real-time decision processes. The strategic use of 5G, combined with IoT and blockchain, exemplifies technology entrepreneurship, driving Jingdong's sustainable growth and innovation in logistics management. The findings highlight Jingdong's role as a leader in digital transformation, offering insights for other corporations seeking to refine their logistics strategies through advanced technologies.
Dual-class Stock Structure and Corporate Innovation -- Evidence from Listed Companies on the Science and Technology Innovation Board
Authors: Wen Xiaoyu
Published: December 2024

The dual-class stock structure is a common corporate governance model for science and technology enterprises. We explore the influence of the dual-class stock structure on the innovative behavior of companies listed on Chinas Science and Technology Innovation Board (STAR) and provide theoretical and practical insights for policymakers and enterprise managers. In our empirical analysis, we use a hand-collected sample to demonstrate that firms with dual-class stock structures exhibit a higher level of innovation, offering valuable insights into its practical effects and international practices. Furthermore, we find that only eight firms have adopted the dual-class stock structure, indicating that it is underutilized in Chinas capital market.
Research on Brand Management and Market Expansion Strategy of CHAGEE
Authors: Qi Yixuan
Published: December 2024

CHAGEE is a famous tea beverage brand in China. The success of the brand in the domestic market and the recognition of the majority of consumers are attributed to the company's scientific management of innovative brands and reasonable marketing methods, CHAGEE organically integrates traditional tea culture with modern consumer preferences. CHAGEE has successively landed in Shanghai, Dali and other cities in China, and has opened stores in Malaysia, Singapore and other countries. The core part of the paper focuses on the opportunities and challenges faced by the current enterprise, and how the company is scientifically expanded and operated. Through a detailed analysis of the product management mode and development status, as well as the specific situation of consumers, combined with the overall market pros and cons analysis, in the search for reasons while summarizing some successful experience, to provide theoretical support for related industries and other brands in the same industry.
The Influence of Fan Economy on Marketing Strategy -- Taking Xiaomang E-commerce as an Example
Authors: Ma Ruolin
Published: December 2024

This paper explores the influence of fan economy on marketing strategy according to the research background of Xiaomang E-commerce: the television media facing the challenges that users are losing, and sponsors are withdrawing under the impact of short videos and live streaming platforms. Traditional marketing strategies have proven inadequate for industry development, necessitating innovative approaches. For enterprises like Mango Super Media, e-commerce has become a pivotal choice for internet business expansion. By employing the SWOT analysis and embedding development theory, this paper reveals that the fan economy plays a significant role in Xiaomang E-commerce's marketing promotion. And the fan economy has facilitated Xiaomang E-commerce to explore new avenues in the saturated e-commerce market and gradually steers market trends. This paper proves that Xiaomang regards fan economy as an important part of its precision marketing. By building embedded communities and fan consumption models, Xiaomang has opened up a new e-commerce track. At the same time, using the principle of reducing cost and increasing efficiency, Xiaomang continues to improve the competitiveness of the platform.
The Substitution Effect of Artificial Intelligence
Authors: Lin Yuna
Published: December 2024

The rapid advancement of artificial intelligence (AI) is reshaping industries worldwide, particularly its impact on the labor market, which has garnered significant attention. AI, as an emerging technology, has not only enhanced productivity but also posed challenges by automating certain tasks, especially in labor-intensive sectors. Studies indicate that the degree of AIs influence varies across industries such as finance, manufacturing, and services, leading to heterogeneous substitution effects. Low-skilled and repetitive jobs in manufacturing are more susceptible to AI replacement, whereas high-skilled positions are less affected due to the complexity of the tasks involved. In the service industry, while AI assists in improving efficiency, human emotional intelligence and complex decision-making are still required.To address the disruptions AI may cause in employment, policymakers should focus on vocational training, upskilling, and fostering innovation and entrepreneurship, helping workers adapt to emerging opportunities. Education and retraining policies are crucial to mitigating job displacement caused by AI. Additionally, crafting policies that meet the specific needs of different industries will be key to facilitating the coexistence of AI and human labor in the future.
Evaluating the Impacts of Sustainability Reporting on Financial Performance of Corporations
Authors: Guo Guangyu
Published: December 2024

With the increasing emphasis on corporate sustainability and general global sustainability issues, more companies and firms began to prioritize their business sustainability measures, such as requiring third-party organizations risk assessment and keeping an outstanding ESG score. While some studies have shown that this positively impacts companies financial performance, various results still highlight disagreement. It is still unclear for firms the optimal cost-effective ratio of maintaining a high ESG score. Moreover, sometimes the subjunctive weights of specific indices included in calculation of ESG score by these organizations add uncertainties. This paper focuses on the environmental aspect of the ESG score collected from top ten US companies sustainability reports, analyzed their weights in ESG calculation and mapped significant relationships between environmental indices, social responsibility indices, governance indices, financial performance indices and ESG score through regression analysis. This would provide insights for business decisions to balance sustainability investment to improve firm profitability, as well as the development of ESG evaluation systems.
Analysis of Marketing Strategies for Optimizing Commercial Performance under STP Theory
Authors: Jin Ruian
Published: December 2024

Based on the rapidly expanding and highly competitive commercial performance market in the post-pandemic era, the application of the STP (Segmentation, Targeting, and Positioning) Theory in optimizing marketing strategies for commercial performances is explored in this paper. Through market segmentation, audience groups are divided in detail based on age, music preference, geographic location, and other factors. In the target market stage selection, the most promising and attractive segments are identified, with due consideration to the characteristics of the segments and the companys strategic objectives. In the market positioning stage, the unique competitive position of each performance in the target market is clarified, and the audience is attracted and retained by the provision of differentiated experiences and services. This paper employs a combination of literature analysis and a case study to illustrate the practical applications and outcomes of STP theory. The research results show that the implementation of precise market segmentation, clear target market selection, and differentiated market positioning can significantly enhance the market competitiveness of commercial performance enterprises, thus facilitating sustainable development. The paper aims to propose a systematic and effective marketing strategy optimization framework for commercial performance enterprises, to help them develop and implement effective marketing strategies, and promote brand influence and market share in the context of a complex and evolving market environment.
The Review of Rural Economic Development in Developing Countries
Authors: Zhang Zihan
Published: December 2024

The rural economic development plays a significant role in the overall economic development of developing countries or regions. The purpose of this paper is to illuminate the main issues encountered in the process of the rural economic development and countermeasures. On this basis, a complete and clear framework is intended to be established for subsequent research and development in this area of the rural economy. During this study, the major existing issues in rural economic development will be firstly integrated and summarised in the methodology of literature review, and then the current circumstances and corresponding strategies of selected countries or regions will be analysed specifically in the methodology of case studies. The results and findings of this research indicate that the methods of improving road infrastructure as well as social infrastructure, enhancing UAVs application and land productivity, and optimizing capability of getting access to financial resources are beneficial for the rural economic development in developing countries.
Interaction Between Environmental Policies and Economic Growth: Lessons from Developing Countries
Authors: Sun Ledi
Published: December 2024

As a developing country and the second largest economy in the world, China's rapid industrialization and urbanization have brought remarkable economic development to China, but they have also caused serious environmental problems, including air pollution, water shortage and ecological damage. This paper discusses the positive and negative effects of environmental policies on economic growth, and analyzes the pressure of economic growth on environmental policies. It mainly studies how China can achieve the purpose of protecting the environment while promoting economic growth, and summarizes the experience and lessons. Through the actual case analysis of environmental policies being implemented in various parts of China, suggestions for optimizing policies are put forward. It includes transparency of policy implementation, promotion of public awareness of environmental protection, popularization of environmental education, and promotion of green technology innovation. The purpose of this paper is to summarize the experimental experience so that China can achieve a win-win situation of economic growth and environmental protection, and provide better suggestions for policy making.
Coca-Cola's Global Marketing Strategy: A Go-Stop Signal Framework Analysis
Authors: Hong Pengzhuo , Luo Kewei
Published: December 2024

The article employs the Go-Stop signal framework to examine Coca-Cola's global marketing strategy, with a view to identifying the factors that either encourage or deter consumer purchases. However, a key limitation of the research is its focus on Coca-Cola, which may not fully capture the diverse challenges faced by other global brands with different market dynamics. The article employs the Go-Stop signal framework to analyze Coca-Cola's global marketing strategy, identifying factors that encourage (Go signals) and inhibit (Stop signals) consumer purchasing decisions. Coca-Cola utilizes a variety of Go signals, including product diversity, emotional branding, and competitive pricing, to strengthen consumer loyalty and expand its market. These strategies are tailored to diverse cultural contexts, as seen in the localization of products like garlic-flavored Coke in Japan. Concurrently, Coca-Cola mitigates Stop signals, such as health concerns and environmental issues, through innovations like Coca-Cola Zero Sugar and sustainable packaging. The company also leverages data analytics to adjust its marketing strategies based on consumer behavior, ensuring relevance across different markets. The Go-Stop framework proves effective in guiding Coca-Colas global marketing efforts, allowing it to remain a dominant brand by responding to evolving consumer demands, economic conditions, and environmental concerns. This paper highlights the importance of balancing Go and Stop signals in maintaining Coca-Cola's global presence and brand loyalty.