bluuebunny/crossref_metadata_2025 huggingface dataset:
Educação empreendedora: uma revisão integrativa das abordagens teóricas para o ensino, lacunas e desafios
Authors: Ferreira Alisson de Castro , Pereira Diego Henrique , Souza Letícia Rodrigues de , Baganha Ronaldo Júlio
Published: December 2024

A formação em empreendedorismo é fundamental para estimular a inovação, gerar empregos e impulsionar o crescimento econômico sustentável. Este estudo apresenta uma revisão integrativa da literatura sobre educação empreendedora, buscando identificar as principais abordagens teóricas, as lacunas e desafios existentes que examina a utilização dessas teorias na educação de futuros empreendedores e em áreas que necessitam de maior foco. A revisão foi conduzida na plataforma Scopus, utilizando uma string de pesquisa extensa que gerou 1.211 artigos, dos quais 25 foram escolhidos após a aplicação de critérios específicos. A avaliação evidenciou uma diversidade de abordagens teóricas, incluindo o aprendizado baseado em problemas e simulações de negócios, além da integração entre teoria e prática sugerida por Fayolle (2013) e Neck e Greene (2011). Embora tenha havido progressos, ainda persistem falhas, como a necessidade de investigar o efeito dos contextos culturais e institucionais na efetividade dos programas de educação empreendedora. Para avaliar os impactos a longo prazo desses programas, são necessários estudos longitudinais, juntamente com métodos práticos e contextuais. A educação empreendedora deve combinar teoria e prática, adaptar as teorias a novos diversos contextos econômicos e culturais e conduzir pesquisas de longo prazo para avaliar seus efeitos.
Integrating Green Chemistry into Sustainable Agricultural Practices: Addressing Global Environmental Challenges
Authors: Yuan Yiding
Published: December 2024

The agricultural advancements of the 20th century, particularly the introduction of chemical fertilizers and pesticides, led to a significant boost in crop yields and food production. However, many of these substances persist in the environment, contributing to soil, water, and air pollution while also entering the food chain and posing risks to human health. As humans face escalating environmental challenges in the 21st century, including climate change, resource depletion, and biodiversity loss, the need for sustainable agricultural practices has become more critical than ever. Green chemistry, with its 12 fundamental principles, offers a pathway to reduce the ecological impact of agriculture while maintaining or even improving productivity. This paper explores the definition of green chemistry, its relationship with sustainable agriculture, and the impact of ten major global environmental issues on farming. It also provides practical solutions for integrating green chemistry into agriculture to minimize negative environmental impacts and promote a more sustainable future for food production.
A Study on the Impact of the Belt and Road Initiative on the Global Financial System
Authors: Peng Xiangcheng
Published: December 2024

Since its inception, the Belt and Road Initiative (BRI) has significantly influenced the development of the global financial system. This study mainly explores the specific measures and achievements of the BRI in promoting global financial market connectivity, the construction of diversified financing channels, and addressing financial risks. The research analyzes the progress made through the establishment of cross-border payment and RMB settlement systems, which enhance transaction efficiency, reduce costs, and promote the internationalization of the RMB. It discusses how diversified financing tools, such as the Silk Road Fund and the Asian Infrastructure Investment Bank (AIIB), provide financial support for infrastructure development and economic cooperation, as well as their role in fostering regional economic integration. The study also emphasizes the challenges and strategies for financial risk management and regulatory coordination under the BRI. By strengthening financial market connectivity, promoting diversified financing, and enhancing financial risk management, the BRI has improved the stability and sustainability of the global financial system.
Digital Inclusive Finance for Rural Revitalization: A Literature Review
Authors: Hu Kexin , Peng Xi , Tang Ming
Published: December 2024

The evolving landscape of rural revitalization has presented novel demands for the advancement of rural finance. Facilitating the expansion of digital inclusive finance in rural areas is instrumental in fortifying the progress of rural finance and realizing top-notch development in rural areas. This paper delves into the elucidation of the concept of inclusive finance and its digital evolution, elucidates the strategies and mechanisms of digital inclusive finance in propelling rural revitalization, and delineates the prevalent challenges and corresponding remedies encountered by digital inclusive finance in driving rural revitalization. By comprehensively encapsulating the contemporary research findings in the scholastic domain, this discourse aims to furnish a blueprint for forthcoming scholars' investigations and governmental agencies' governance initiatives. In the forthcoming days, it is imperative to actively harness the advantageous facets of pertinent mechanisms to alleviate the adverse repercussions of capacity exclusion and the digital divide, and ensure the sustainability of rural revitalization.
Advanced Ternary Cathode Materials for High-Performance Lithium-Ion Batteries
Authors: Huang Taiji
Published: December 2024

The global shift from fuel-powered vehicles to electric vehicles (EVs) is accelerating, driven by the need to achieve zero emissions. As a cornerstone of this transformation, the development of advanced battery technology is crucial. Among the various components, ternary cathode materials are emerging as a dominant force in powering next-generation EVs. This paper explores the factors negatively impacting the cycling stability and electrochemical performance of nickel-rich ternary cathode materials. In response, it proposes several modification strategies, including ion doping, single-crystal structuring, and surface coating. By exploring these individual approaches, the paper highlights the need for future research to focus on integrating multiple modification techniques. The primary objective is to create batteries with high energy density, superior cycling performance, excellent electrochemical characteristics, and enhanced safety—paving the way for breakthroughs in this rapidly evolving field.
Systematic analysis of New Technologies and trends of infrared photodetectors
Authors: Li Mai
Published: December 2024

Infrared detection has always been regarded as an important technology with significant applications in military, industrial, and daily life. Infrared photodetectors (IRPDs) have experienced the development process from thermal IRPDs to photonic IRPDs, until now, the latter can be widely used in focal plane array (FPA). For a long time, IRPD technology based on HgCdTe and InSb materials has dominated the market, but there are still limitations in operating temperature and detectable wavelength region. Since the 21st century, people have been committed to researching new types of IRPDs. Type-II superlattice system technology is considered an alternative solution to the long wave region, and its performance can be improved by adding unipolar potential barriers, which only allow one type of carriers to pass normally. Quantum well and quantum dot are new IRPD technologies based on quantum theory. The former is based on developed GaAs growth technology and can reduce production costs; The latter utilizes the binding mechanism of quantum dots to increase the operating temperature, but whether it can be applied to large-scale devices remains to be researched. All these technologies will contribute to the development and application of the third generation of IRPD.
The Impact of ESG on Earnings Volatility of Manufacturing Companies in China
Authors: Nyahuma Kudzai Patricia
Published: December 2024

This study examines how environmental, social, and corporate governance (ESG) performance influences a firm’s earnings volatility, considering the mediating role of financial constraints and the moderating effects of supply chain concentration. Drawing on stakeholder theory and resource de-pendency theory, the research model was proposed and hypotheses were developed to address the research questions. The study employs fixed effects regression analysis, conducted using STATA 18.0, on data from 603 manufacturing companies listed in China's A-shares market from 2013 to 2022. The results reveal that ESG significantly impacts earnings volatility, with financial constraints partially mediating this relationship, and supply chain concentration serving as a moderator. These findings have important implications for managers, policymakers, and investors.
Overcoming the Limitations of High Energy Density in Lithium-Ion Batteries: Challenges and Future Directions
Authors: Xia Siyi
Published: December 2024

Lithium-ion batteries are crucial to advancing sustainable technologies, particularly in areas like electric vehicles and renewable energy systems. However, the quest for higher energy density remains a persistent challenge due to inherent limitations in their current design. This paper offers a comprehensive review of these challenges, focusing on the key components such as electrodes, electrolytes, and separators. Issues like electrolyte volume, separator thickness, and the properties of electrode materials are discussed in depth, showing how these factors constrain energy density. Moreover, the paper explores innovative solutions, including the use of nanotechnology and the development of anode-free battery designs, which represent promising approaches to overcoming these obstacles. These advancements hold significant potential to greatly improve energy density and overall battery performance. In conclusion, ongoing progress in chemistry, materials science, and nanotechnology will continue to drive the enhancement of lithium-ion batteries, unlocking new possibilities for higher energy densities and more efficient applications across various industries.
The Research on Factors Influencing Housing Prices-Taking California for Example
Authors: Lu Zihan
Published: December 2024

This article is about something on impacting factors of house prices. In this research, multiple linear regression is used as a method. Regression method is a scientific tool that provides insights into the dynamics of how a dependent X factor responds to changes in one or more independent variables. This research finds that there are many factors and Indies do influence on the housing prices, including GDP, CPI, Income, Urban population, Delinquency rate, etc. Most of those factors or Indies have positive correlation with housing price. And through further analysis selection and analysis, research find that CPI and GDP has positive relation vs housing price and its correlation degree is most highly in those factors. And then GDP and CPI working as independent variables in multi linear regression come to a model. For this model, T test, R-squared test, F test and practical test have been done to proof this model is reasonable. And this model can be used in practical housing price analysis.
Application of metal oxide-based materials for improving the performance of lithium-ion batteries
Authors: Wang Xinghao
Published: December 2024

With the continuous development of electric vehicles, battery technology has also been developed rapidly. Lithium-ion batteries (LIBs) with a variety of advantages become the primary choice of the current battery industry. The global demand for lithium element also shows a rapidly rising trend, however, the global supply of lithium is in a relatively urgent stage. By improving the service life and efficiency of LIBs has become a hot research topic. One of the research directions is to improve the performance of battery by improving the structure of electrode materials, and metal oxide materials have become an important part of improving the performance of electrode materials by virtue of their low cost, high structural stability, high service life and high energy density. This research will introduce manganese-based oxide cathode materials, chromium oxide cathode materials, nanostructured copper oxide anode materials, and carbon/metal oxide composite anode materials. These four types of materials can improve the service life and electrochemical performance of LIBs by improving the structural stability of the materials and increasing the flow rate of lithium ions at the electrode.
Women Participation in Political Affairs During Covid 19: A Study of North East States of India
Authors:   Associate Professor, Department of Public Administration, The Assam Royal Global University, Guwahati, Assam, India., Sharma Dr. Meenu
Published: December 2024

Women have been suffering a lot during the Covid-19 pandemic. Women have faced psychological, social, economic, and political problems during the time of the pandemic. Traditional norms, the natural environment, the economic condition of women, the social system in society, and the education system for women are some of the factors that have been affecting the political participation of women. In 2021, assembly elections were conducted in Assam, West Bengal, Kerala, Tamil Nadu, and Pondicherry. The elections in these states have shown that women's participation in political affairs is more important. The women party workers have participated in all types of party-related activities and election-related tasks, like male party workers, but women's participation in political affairs has decreased due to the burden of other households and caring attitudes towards family members during Covid 19 in the northern states of India. the objectives of this paper are, to analyze the status of women's participation in political affairs during Covid-19 in the North East States of India and to find the reasons for the nonparticipation of women in political affairs during Covid-19. Data was collected through a primary tool structured questionnaire from the sample of 124 women through Google form and telephone interviews, from the four states of the Northeast, states Assam (39), Meghalaya (31), Manipur (29), Arunachal Pradesh (25) of India. 96 (77.42%) of the women respondents have been participating in political discussions, rallies, meetings, and campaigns during elections. 88 (70.97%) of the women respondents have been participating in political affairs by casting their votes during elections. None of the women respondents have formed a political party and contested elections in their state. 96 (77.42%) of the women respondents have an interest in political affairs.
The Emergence and Governance of Criminal Gangs in El Salvador
Authors: Tan Bowen
Published: December 2024

El Salvador, a nation marked by stunning landscapes and rich culture, is also notorious for its violent street gangs, which leads to the significance of this study that lies in its examination of the dual facets of the gang phenomenon: their emergence and their governance. To investigate the emergence and governance of criminal gangs in El Salvador, this study focuses on how historical, socio-political, and economic factors have contributed to gang violence, particularly the rise of MS-13 and Barrio 18. Utilizing Strain Theory as the theoretical framework, the study underscores how societal pressures such as inequality and unemployment push individuals toward gang involvement. Comparing El Salvadors "mano dura" policies with similar efforts in Honduras, the study reveals the challenges and limitations of relying on punitive measures if they never address deeper social and economic issues. The analysis of this study emphasizes the need for a balanced approach that combines law enforcement with preventive strategies to tackle this issue.
Educational Programs and Strategic Directions in the Context of Globalization
Authors: Huang Xibao , Zhang Xinya
Published: December 2024

Globalization has become one of the key research topics in the field of global education. Educational curricula and strategies are gradually developing towards globalization and digitalization. This paper will study the current educational curriculum and the direction of future educational strategies under the background of globalization. Specifically, the core concepts, practical methods, and impacts of three distinctive educational models, namely, the Reggio education concept, the STEAM education system, and the IB international curriculum system, on contemporary education are studied. Through the study of these educational models, it is predicted that future educational strategies will develop in four aspects: emphasizing soft skills, increasing international education cooperation projects, promoting vocational skills training, and digital transformation. This paper adopts the literature research method, theoretical analysis method, case analysis method, and inductive summary method to conduct research. The research found that: the Reggio education concept, STEAM education system, and IB curriculum system promote the all-round development of children's independent learning and innovation ability, critical thinking, and global vision; future educational strategies will also tend to break the boundaries of disciplines and cultivate talents who dare to innovate and master multiple skills. This paper expands the conjecture about future educational strategies and is committed to helping international students improve their global adaptability.
Sexism in Interior: Feminine Design in a Male-Centric Domain
Authors: Yu Ruolin
Published: December 2024

This paper examines how gender-based differences are reflected in architecture, especially in interior and furniture design, mainly through evaluating male-centric design standards and feminine design approaches. Traditionally, the architectural industry has been dominated by men solely. According to Le Corbusiers Scale of Modulor and Adolf Loos Villa Muller, male designers produce standardized and fixed products in the contemporary era, which require users to adjust to the designs. In contrast, female designers like Charlotte Perriand, Lily Reich, etc. contribute to breaking the male-centric design norms with flexibility and mobility to achieve individual needs, trying to revise the relationship between users and products. While other researchers focus mainly on the expansion of design standards within the male domain, this paper is dedicated to bringing to the front the ongoing struggle for gender equality and justice and advocating for a more diverse and inclusive atmosphere not only in the design industry but also in the entire society.
African Poverty: Influence of Climate Change and Inequality Since the 1990s
Authors: Cai Hechen
Published: December 2024

Despite steady GDP growth since the 1990s, extreme poverty in Africa remains prevalent due to environmental degradation and multidimensional inequality. This paper examines how inequality and climate change aggravate poverty in African countries, particularly in the Democratic Republic of Congo, Nigeria, and Niger. This paper discusses the effects of the Gini coefficient and multidimensional poverty index on perpetuating a cycle of poverty in these underdeveloped countries. By implementing several varied scenarios, this paper demonstrates how severe weather events generate economically challenging situations for these countries to cope with. The high reliance on agricultural production led to increased migration and food insecurity, denying those below the poverty line access to resources. It underscored that both climate change and poverty hindered the propensity for these African countries to escape from the poverty trap, despite equilibrium GDP growth. This paper provides two additional contributions beyond existing literatures. First, it disaggregates inequality into different dimensions for the governments economic decision-making. Second, through Africas extreme weather, it offers a focused examination of how climate change has constrained economic resources.
Ultrashort Echo Time (UTE) Imaging for Contrast Agent Deposition Measurement: A Review
Authors: Xian Xiao
Published: December 2024

The deposition of Gadolinium-based contrast agents (GBCAs) has become a growing concern in the field of enhanced Magnetic Resonance Imaging (MRI). GBCAs have been found to be accumulate in various tissues, including the brain and bone, leading to potential long-term health risks, even in patients with normal renal function. Conventional MRI sequences are often limited in detecting Gd deposition in tissues like cortical bone due to their extremely short transverse relaxation times. Ultrashort Echo Time (UTE) MRI sequences offer a promising solution to this challenge by capturing signals from tissues with short relaxation times, enabling more accurate assessment of Gd deposition. This review provides a comprehensive overview of the application of UTE sequences in the measurement of Gd deposition, highlighting key advancements in the applications of UTE technique. It also explores the use of UTE imaging in combination with other methods. This review also discusses potential future directions and give some possible solutions.
The Multifaceted Impact of the Prostate on Quality of Life
Authors: Chen Haohua
Published: December 2024

Prostatitis, a common condition in men, is known to significantly impact quality of life (QoL) by affecting daily activities, mental health, and sexual function. This review examines the relationship between prostatitis and QoL, with a focus on chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS), the most prevalent form. The physical symptoms of prostatitis, including chronic pelvic pain and urinary issues, can lead to fatigue, disrupted social participation, and limitations in work and physical activity. Psychologically, prostatitis is linked to anxiety, depression, and feelings of hopelessness, which can exacerbate the severity of physical symptoms and reduce overall well-being. Sexual dysfunction, particularly erectile dysfunction, is a frequent concern for men with prostatitis, compounding mental health challenges and further diminishing QoL. Traditional treatments, including antibiotics and anti-inflammatory medications, provide limited relief for some patients. However, alternative therapies like physical therapy, acupuncture, and herbal remedies show promise in addressing both physical and psychological symptoms. A multidisciplinary treatment approach, incorporating both symptom management and mental health support, is crucial for improving the overall QoL of men suffering from prostatitis. This review highlights the need for comprehensive interventions to address the multidimensional impact of prostatitis on daily life, mental health, and sexual function.
Research on the Relationship Between Heart Failure and Calcium Cycling Proteins
Authors: Liu Rui
Published: December 2024

Heart failure, defined as the inability of the heart to pump blood efficiently, involves various pathophysiological mechanisms, including disruptions in calcium cycling. Calcium cycling proteins, including calcium pumps and channels, are essential for the optimal contraction and relaxation of cardiac muscle. In patients with heart failure, the dysfunction of these proteins results in impaired calcium regulation, which serves to exacerbate the condition. This study explores the relationship between heart failure and calcium cycling proteins, which play a crucial role in the regulation of heart function. Through a review of recent experimental studies, this research reveals the significant changes in calcium cycling proteins observed in heart failure and discusses potential treatment strategies aimed at restoring calcium homeostasis. The findings indicate that the targeting of calcium cycling proteins may provide novel therapeutic avenues to improve cardiac function in patients with heart failure.
Gene regulatory networks in morphological evolution: A developmental biology perspective
Authors: Guo Chuxuan
Published: December 2024

Morphological evolution is key to understanding biodiversity and adaptability, revealing how organisms morphology changes during evolution. Gene regulatory networks (GRNs) play a central role in regulating gene expression and driving morphological traits. This review explores the intersection of morphological evolution and developmental biology, discussing GRNs composition, developmental functions, and their role in shaping morphological diversity across species. Research shows GRNs are conserved yet flexible, allowing evolutionary adaptation in changing environments. The paper also highlights technological advancements, challenges, and future research directions, emphasizing systems biology and synthetic biology for deeper insights into morphological evolution.
Research on the Application of Schroth Therapy Combined with Shockwave Therapy in Adolescent Idiopathic Scoliosis
Authors: Wang Zhenghui , Hui Zhilin
Published: December 2024

Adolescent idiopathic scoliosis (AIS) is a complex spinal disorder characterised by a curvature of the spine with lateral deviation, posture issues, pain and high-level of decreased quality-of-life. Schroth therapy, a physical rehabilitation technique, has been widely used as a conservative treatment of AIS, by means of posture correction and muscle rebalancing. While it has been used as a conservative treatment for several years, it is not efficacious in patients with high-grade scoliotic curvatures. Extracorporeal shockwave therapy (ESWT) has been recently added to Schroth therapy in the treatment of AIS, as it has been shown to improve pain and relieve muscle tension. This study assesses the combined effect of Schroth therapy and ESWT as a treatment method for AIS. When the two treatment methods were combined, a greater reduction in the Cobb angle was observed, there was a higher adherence to the exercise regimen, and there was a marked improvement in pain and quality-of-life scores, especially to the psychosocial domain, including self-image and functional capacity. The study determined that, over the short-term, Schroth therapy combined with ESWT is more effective in symptom relief and, over the long-term, it enhances the success of scoliosis management. As a non-surgical intervention, it is favoured for patients with moderate AIS.
A Comprehensive Analysis of Gibbs Free Energy in Monte Carlo Simulations for Understanding 2D Protein Folding Dynamics
Authors: Zuo Yihan
Published: December 2024

This paper presents a detailed analysis of Gibbs free energy changes in 2D protein folding using Monte Carlo simulations. It starts by introducing fundamental concepts about proteins and the critical role of Gibbs free energy in the free energy landscape of protein folding. The study utilizes a Monte Carlo-based protein prediction server to simulate the folding process of protein sequences and investigates how temperature variations impact this process. Inspired by the work outlined in "Evolutionary Monte Carlo for protein folding simulations," the analysis extends to explore the specific properties of amino acids and their influence on protein folding dynamics in two dimensions. The simulation results offer insightful observations on how different parameters affect the protein folding process, providing a better understanding of the underlying mechanisms. This comprehensive review of the application of Monte Carlo methods to study 2D protein folding dynamics highlights the significance of temperature and Gibbs free energy in shaping the protein folding landscape, demonstrating the utility of these simulations in biochemical research.
Advancements and Applications of Protein Structure Prediction Algorithms
Authors: Chen Ye
Published: December 2024

Protein structure prediction serves as a foundational aspect of molecular biology, where computational advancements have recently propelled significant increases in prediction accuracy. This paper evaluates traditional protein structure prediction methods, including homology modeling, threading, and Ab Initio techniques, emphasizing the inherent challenges these methods face in accurately modeling novel and highly flexible proteins. With the advent of AI-based models, particularly AlphaFold, the landscape of protein structure prediction has undergone a transformative shift. AlphaFold integrates evolutionary data with sophisticated deep learning algorithms to achieve accuracies close to experimental results. Despite such progress, AlphaFold grapples with challenges in dynamic regions of proteins, such as intrinsically disordered proteins (IDPs), and struggles to accurately predict the structural impacts of genetic mutations. The paper also explores novel emerging methods, such as protein language models, designed to address these specific limitations. These cutting-edge approaches not only enhance the accuracy of protein structure predictions but also broaden the scope of potential applications. Areas such as drug discovery and vaccine development stand to benefit immensely from these advancements, potentially expediting critical breakthroughs. This examination of both established and novel methodologies illuminates the ongoing evolution of protein structure prediction, pointing towards future innovations that may further revolutionize the field.
Advances in the clinical application of small molecule chemical drugs
Authors: Sun Yunqi
Published: December 2024

Chemical small molecule drugs, whose molecular weight is often less than 1000, are usually a signal transduction inhibitor specifically blocking the signal transduction pathway necessary for tumor growth and proliferation, so as to achieve the ideal treatment effect. Mostly, these drugs are absorbed through the concentration gradient, which provides the power. In this research, Gefitinib, Sorafenib, Imatinib are elaborately introduced in terms of their synthesis, treatment effect, merits and demerits of non-small cell lung cancers patients (NSCLC), hepatocellular carcinoma (HCC), chronic myeloid leukemia (CML), respectively. It is found that chemical small molecule drugs have a broad prospect because of their specificity and great drug properties. However, in the treatment process of chemical small molecule drugs, they are liable to drug resistance mutations and multi-drug resistance sites, thus drug improvement and update iteration will be more frequent. In addition, the side effects and adverse events of these drugs should be concerned about. Meanwhile, the development of drug synthesis routes should give priority to non-toxic and non-hazardous synthetic raw materials, while reaction conditions such as cost, temperature, reaction time and so forth should be taken into consideration for industrial mass production.
The Role of Equestrian Sports in Physical Rehabilitation
Authors: Zhang Jiayue
Published: December 2024

Equestrian therapy, especially through hippotherapy and therapeutic riding, has become well-known as an effective method for addressing the physical and psychological difficulties faced by people with conditions such as autism spectrum disorder (ASD), cerebral palsy (CP), and post-traumatic stress disorder (PTSD). This study aims to investigate the importance of equestrian therapy in improving muscle strength, coordination, and sensory processing in children with autism and cerebral palsy. The research explores how equestrian therapy aids in physical and emotional recovery through a literature review and case study analysis. Results indicate that children with CP experienced significant improvements in muscle symmetry and postural control, with enhanced gross motor functions, such as sitting and walking, attributed to the horse's rhythmic movement. Children with ASD demonstrated improved social interactions and communication abilities, including better engagement with caregivers and peers. Additionally, individuals with PTSD experienced lower levels of anxiety and significant emotional regulation improvements, particularly in managing hyperarousal and intrusive thoughts, through the rhythmic motion of horseback riding. The conclusion highlights that even with difficulties like accessibility, cost, and ethical issues, equestrian therapy offers a comprehensive method for rehabilitation, enhancing both physical and emotional health.
On-target off-tumor (OTOT) toxicity from HER2-targeting chimeric antigen receptor (CAR) engineered T cell therapy: current solutions
Authors: Ke Junxian
Published: December 2024

Breast cancer is a major threat to women's life and health, with HER2+ BC accounting for a significant proportion of cases. This subtype is characterized by aggressive behavior, a high recurrence rate, and generally poor prognosis. The efficacy of conventional HER2-CAR-T treatment for HER2-positive breast cancer is well-documented; however, it is not without its risks, particularly the potential for on-target off-tumor (OTOT) toxicity, which poses a significant threat to patient safety. This analysis examines the difficulties encountered with standard HER2-CAR-T approaches and discusses contemporary methods designed to reduce the incidence of OTOT toxicity. This review organizes the strategies into three primary methods, offering an exhaustive summary to facilitate the medical and research sectors in gaining a deeper comprehension of the present scenario and prospective advancements of HER2-CAR-T treatment. By discussing these approaches and the underlying mechanisms that make them effective, this review aims to inspire further innovation in improving existing HER2-CAR-T therapy. A thorough understanding of the current challenges and promising avenues for enhancement in HER2-CAR-T therapy is quite important for advancing future research and clinical applications.
Uncertainties on projecting future cloud feedback and possible ways to address them
Authors: Liu Luozhen
Published: December 2024

The issue of climate change is hotly debated in today's world. More attention is paid to climate-related issues, including global warming. It is accepted that clouds are responsible for the rise of global surface temperature. People have spent decades trying to develop climate models that are capable of more accurate cloud projections without getting the ultimate solution since clouds are complicated compounds. This review article focuses on clouds' role in global warming, the mechanisms of cloud warming the Earth's surface, uncertainties of cloud parameterizations, and some researches aiming at mitigating the uncertainties . This paper concluded that although advancements are made in adding new constraints and taking new observable variables, uncertainty remains. The majority of new methods and constraints reviewed in this paper are still limited to different extents. Therefore, more complete climate models that can be applied to more conditions and regions could be the direction for future studies in the field.
The Facts, Causes and Effects of Carbon Tax
Authors: Zheng Xueshen
Published: December 2024

Abstract: The significance of climate change is growing, prompting individuals to actively reduce greenhouse gas pollution, promote the use of renewable energy sources, and advocate for sustainable development. Carbon taxes have become an important policy tool for attaining sustainable development. The purpose of this article is to analyze the emergence of carbon taxes. The research objective is to analyze the feasibility and the efficacy of imposing a carbon tax. The research highlighting the importance of carbon taxes in effectively eliminating greenhouse gas pollutions by analyzing countries that are already implementing them, designing income neutral carbon taxes to balance environmental benefits and economic growth, and listing options for various subsidies after taxes. The study is significant because it provides a thorough assessment of the effects of carbon taxes and suggests feasible policy suggestions. The government should consider the economic situation and people's income when designing the level of carbon tax and use more tax revenue to invest in new energy to achieve long-term low carbon. Wind and solar energy will be the main energy sources in the future. Under appropriate policies, carbon tax can achieve low-carbon and maintain GDP.
Enhancing Performance for Fama-French Model Based on New Factors: Evidence from Multiple Industries
Authors: Guo Xiaomin
Published: December 2024

As a matter of fact, in the current complex and volatile financial markets, the traditional Fama-French five-factor model shows some limitations in explaining stock returns. With this in mind, this study introduces new technical indicators (e.g., MACD, RSI, and CCI), to improve the model's performance as well as analyze the performance of the technology, energy, healthcare, financial, construction, and commodities sectors. To be specific, this research uses data collection, model construction, hypothesis testing, and statistical analysis to improve the model's explanatory power and predictive accuracy. According to the analysis, the finding proves the new factors' effectiveness and provides investors with a more accurate asset pricing tool. The research in this paper emphasizes the importance of innovation and improvement of traditional asset pricing models in the changing financial market environment. At the same time, it discusses the implications of the findings for investment strategies and market efficiency and suggests possible directions for future research.
The Current State and Future Prospects of Japans Macroeconomy: Challenges and Opportunities
Authors: Wang Qingyue
Published: December 2024

With the continuous evolution of the global economic landscape, the stability and growth potential of Japan's macroeconomy have received widespread attention from society. Since the 1990s, Japan has been in a state of long-term economic downturn. Faced with this challenge, the Japanese government has successively introduced economic stimulus plans, including zero interest rates and monetary easing policies. However, the pace of recovery of the Japanese economy is still slow and has not been able to get rid of the shadow of deflation. This article deeply analyzes the current situation of Japan's macroeconomy, including economic growth, employment, and wage levels, as well as prices and inflation, to evaluate the economic situation in Japan. The study shows that although the easing policies have produced some effects, Japan has not fundamentally escaped the dilemma of deflation. Moreover, Japan's structural problems such as the aging population and the weakening of the labor force ratio have hindered Japan's economic stimulus efforts. This paper suggests that while implementing monetary policies, Japan should also focus more on reforming economic structural issues and actively implement the Society 5.0 plan to promote scientific and technological innovation, thereby improving the level of economic development and leading Japan out of the long-term dilemma of economic stagnation.
An Analysis of Emotional Marketing Mechanisms Strategies and Consumer Responses
Authors: Tan Yuxin
Published: December 2024

As consumers evolve psychologically and cognitively, there is an urgent need for enterprises to adapt their marketing strategies to meet consumer needs. As a result, a new marketing concept, emotional marketing, has emerged in the field of marketing. From a theoretical standpoint, emotional marketing refers to the fact that consumers tend to make purchasing decisions based not only on rational considerations but on emotional responses. This shift from a purely transactional approach to one that recognizes the emotional drivers behind consumer behavior is key to understanding modern marketing activities. This study examines the mechanisms and strategies of emotional marketing, focusing on its impact on consumer behavior. Through literature review and case studies, it aims to investigate how enterprises can implement effective emotional marketing that creates lasting influence. Thus, the paper analyzes the impact of emotion marketing on consumer behavior, the strategies and channels used, and the current challenges faced, elucidating the importance of emotion marketing for business development, and making recommendations for future research. The results demonstrate that the incorporation of cutting-edge technologies may facilitate a more precise comprehension of consumer sentiment and enhance the efficacy of future marketing initiatives.
Analysis of Florasis Marketing Strategies from a Digital Marketing
Authors: Shan Linfei
Published: December 2024

Digital marketing has become the core means of brand promotion of modern enterprises. This article takes Florasis, a famous Chinese beauty brand, as an example to explore the multi-dimensional analysis of the impact of digital marketing on its brand. Through the specific practice of social media, content marketing and e-commerce strategies, this article aims to reveal how digital marketing can shape the brand image, improve consumer participation, and have a profound impact on market competitiveness. Research shows that Florasis successful experience in digital marketing has provided valuable experience for other brands. The study explores how Florasis uses social media, key opinion leaders (KOLs) and e-commerce to build its brand image and market competitiveness. Through cooperation with beauty bloggers and data-driven marketing, the brand has successfully entered the young consumer market. The article emphasizes the innovative method of Florasis combining culture with modern technology, making it a strong competitor in the beauty industry. In addition, this article also shows that future research can focus on the global expansion of digital marketing strategies and the impact of emerging technologies such as AR/VR in enhancing consumer experience.
Analysis on Whether Climate Finance Derivatives Can Help Chinese Farmers Avoid Natural Risks
Authors: Ke Xuanyu
Published: December 2024

China has a vast population, but knowledge gaps hinder them from sensibly hedging the myriad natural hazards they face in agriculture, which financial derivatives might help counteract. This thesis committed to discussing how climate finance derivatives could enable Chinese farmers to hedge against natural risks based on relevant literature and existing data. The author explores whether financial derivatives have become a tool for Chinese farmers to mitigate natural risks, and puts forward some suggestions on how to introduce financial derivatives into the Chinese market. The research results indicate that climate derivatives are important for the management of agricultural risks, the economic stability of farmers, and the future quality of life of farmers. Farmers are able to use derivatives to hedge against economic crises caused by climate-induced reductions in crop yields, following farmer literacy on financial derivatives and the introduction of climate derivatives by other energy companies.
Research on Business Analytics and Brand Management on Social Media in the Era of Big Data - A Case Study of TikTok, Instagram, and Lasso
Authors: Zhang Zhuojie
Published: December 2024

In the era of big data, data-driven strategies and brand management have a profound impact on social media platforms and brand operations. This study uses case analysis and comparative methods to conduct an in-depth exploration of the performance of TikTok, Instagram, and Lasso in terms of advertising, brand management, and global market expansion. The research aims to reveal the significant influence of data analysis capabilities and precision advertising on platform performance. The results show that TikTok and Instagram have significantly enhanced user engagement and advertising effectiveness through data analysis and personalized advertising strategies, while Lasso has failed to succeed in the competition due to a lack of advanced data analysis and precision marketing strategies. This article provides a reference for enterprises to utilize big data and precision marketing to optimize market performance and points out that the future research direction for improvement is mainly to explore in-depth data learning and optimize data processing.
Predicting Corporate ESG Scores Using Machine Learning: A Comparative Study
Authors: Jiang Xuran
Published: December 2024

This paper investigates the application of machine learning to predict corporate Environmental, Social, and Governance (ESG) scores, focusing on identifying the most influential factors within companies' reports. Three modelslinear regression, random forests, and gradient boostingwere utilized to estimate ESG risk scores. Hyperparameter tuning through Grid Search with cross-validation ensured that the models were optimized for robust performance, and their accuracy was assessed using Root Mean Square Error (RMSE) and R-squared (R) metrics. The findings from the experiments indicate that the gradient boosting model surpasses other methods in accuracy. According to Shapley Additive Explanations (SHAP) analysis, industry classification emerges as the primary influencer of ESG scores, followed by financial indicators such as Price/Sales, Price/Book, and Market Capitalization. This predictive model can provide valuable insights for both investors and companies, aiding in investment decisions and strategic improvements in ESG performance. While the study effectively demonstrates the potential of machine learning for ESG forecasting, future research could further refine the models by exploring more advanced ensemble methods like Extreme Gradient Boosting (XGBoost) or Categorical Boosting (CatBoost) and incorporating qualitative data to enhance predictive power.
Analyst Coverage and Corporate Earnings Management
Authors: Wu Yixuan , Yu Ke
Published: December 2024

This paper investigates the complex dynamics of corporate earnings management and its interaction with analyst coverage, highlighting three main drivers: capital market incentives, contractual incentives, and regulatory pressures. Each driver influences firms to manipulate earnings for different strategic benefitssuch as influencing stock prices, optimizing executive compensation, and complying with or exploiting regulations. The role of analysts is critically examined, suggesting that their effectiveness as monitors can significantly influence corporate behaviors concerning earnings management. The study discusses how analysts can either deter or inadvertently encourage these practices based on their interaction with corporate management and their monitoring capabilities. Through detailed empirical analysis, the paper aims to deepen the understanding of the dual role of analysts in either mitigating or exacerbating earnings manipulations. Overall, this research contributes to the broader discussions on corporate governance and financial reporting, aiming to enhance the transparency and reliability of financial markets.