bluuebunny/crossref_metadata_2025 huggingface dataset:
Medical management versus intravenous thrombolysis for patients with minor non-disabling acute ischemic stroke: A systematic review and meta-analysis
Authors: An Zhuyan , Wei Qi , Xie Fang , Hu Hai , Ye Guohui , Li Qi , Peng Yuqi , Yang Guangui
Published: December 2024

Background: The efficacy and safety of thrombolysis therapy in patients with mild stroke, especially acute non-disabling stroke is controversial. We intend to conduct this systematic review and meta- analysis to evaluate the efficacy and safety of thrombolytic therapy compared to medical management in acute non-disabling stroke.
Methods: We searched multiple databases to obtain articles related to medical management and intravenous thrombolysis therapy for minor non-disabling acute ischemic stroke from inception until November 28, 2023, and the search was conducted again on September 1, 2024. The primary outcome was functional independence (modified Rankin scale [mRS] score of 0 to 2) at 90 days. All analyses were performed using the random effect model. The quality of articles was evaluated through the Cochrane risk assessment tool and Newcastle-Ottawa scale.
Results: 2 RCTs and 7 cohort studies met the inclusion criteria. The merge analysis showed that there was no significant difference in improving functional independence (mRS 0-2, RR: 1.01, 95% CI 0.98 - 1.04, P = 0.47) and excellent outcome (mRS 0-1) of patients with minor non-disabling acute ischemic stroke between IVT and medical management. However, IVT would increase the risk of early neurological deterioration (RR: 0.50, 95% CI 0.30 - 0.82, P = 0.007), compared to medical management. Analysis of the cohort studies showed that there was a significant correlation between IVT and sICH (RR: 0.20, 95% CI: 0.06 - 0.68, P=0.01).
Conclusions: For patients with minor non-disabling acute ischemic stroke, medical management will not have a negative impact on functional recovery, and may be a safer alternative.
Risk factors and secondary prevention interventions for recurrence of acute cerebral infarction within half a year after rhTNK-tPA treatment
Authors: Gao Chengyuan , Zhang Qingli , Mei Liting , Zhu Yuqing
Published: December 2024

Objective: To investigate the risk factors for the recurrence of acute cerebral infarction (ACI) within half a year after treatment with recombinant human TNK tissue-type plasminogen activator (rhTNK- tPA) and secondary prevention.
Methods: A total of 84 patients with ACI treated with rhTNK-tPA in our hospital from March 2023 to April 2024 were selected for the study. The patients were divided into a recurrence group and a non-recurrence group according to whether they recurred within half a year after treatment. The clinical data of the two groups of patients were compared, and the risk factors of recurrent cerebral infarction were analyzed. The risk prediction model of the nomogram was constructed by incorporating the risk factors and its effectiveness was verified. Model discrimination was assessed by using the receiver operating characteristic curve (ROC). Model fit was evaluated with calibration curves. Hosmer-Lemeshow (HL) analysis was applied to assess model consistency. At the same time, the effect of secondary prevention on the recurrence rate was explored.
Results: There were 20 patients with a recurrence of ACI, and the recurrence rate was 23.81%. Multivariate Logistic regression analysis showed that the risk factors of recurrence in patients with ACI included age ≥ 70 years, smoking, hypertension, diabetes, irregular or never using antiplatelet drugs (P<0.05). The prediction model of the nomogram was constructed according to the above indexes. The area under the curve (AUC) of the model’s training and test sets for predicting recurrence within six months in patients with acute cerebral infarction was 0.918 (95%CI: 0.848-0.988) and 0.850 (95%CI: 0.703-0.997). At the same time, the HL test showed good goodness of fit (χ2 =1.684, P = 0.989). The calibration curves indicated good agreement between the predicted values of the nomograms and the actual observed values. The recurrence rate of ACI patients who took secondary prevention measures was lower than that of patients who did not take corresponding measures (P<0.05).
Conclusions: Patients with ACI have a high recurrence rate within half a year. Age ≥70 years, smoking, hypertension, diabetes, irregular or never use of antiplatelet drugs are risk factors for recurrence. The prediction model of nomogram combined with 5 indicators can be used as an accurate and rapid clinical evaluation tool. The recurrence rate can be reduced by taking corresponding secondary prevention interventions for patients.
Comparison of efficacy and safety of neuroendoscopic surgery and minimally invasive puncture surgery in the treatment of spontaneous cerebral hemorrhage: A meta-analysis
Authors: Wang Jun , Zhu Suijun , Tang Chao
Published: December 2024

Objective: To compare the efficacy and safety of neuroendoscopic surgery and minimally invasive puncture surgery in the treatment of spontaneous cerebral hemorrhage.
Methods: The English databases, including PubMed, OVID, EMBASE, Cochrane Library, and the Chinese databases, such as CNKI, Wanfang and Weipu, were computer searched to collect the relevant literature on the treatment of spontaneous cerebral hemorrhage by neuroendoscopic surgery and minimally invasive puncture surgery. The included literature was meta-analyzed using Stata 17.0 software.
Results: A total of 10 articles were included in the study. There were 344 patients in the neuroendoscopy group and 419 patients in the minimally invasive puncture group. Compared with the minimally invasive puncture group, the clearance rate of postoperative hematoma in the neuroendoscopy group was higher (MD = 19.71; 95% CI 4.84-34.57, Z = 2.60, P = 0.01 < 0.05), the amount of hematoma cleared was higher (MD = 16.5; 95% CI 5.95-27.04, Z = 3.07, P = 0.001 < 0.05), mRS score was lower (MD = -0.49; 95% CI -0.76 to -0.21, Z = -3.42, P = 0.001 < 0.05); GCS score was higher (MD = 0.74; 95% CI 0.05-1.43, Z = 2.09, P = 0.04 < 0.05). However, the operation time was longer (MD = 51.44; 95% CI 37.44-65.44, Z = 7.20, P = 0.0001 < 0.05) of patients in the neuroendoscopy group than those in the control group.
Conclusion: Neuroendoscopic surgery is superior to minimally invasive puncture surgery in the treatment of spontaneous intracerebral hemorrhage in hematoma clearance and clearance rate, postoperative recovery, and postoperative consciousness recovery. Neuroendoscopic surgery has better efficacy and safety.
Application of Supply Chain Operations Reference Model (Scor) Among Small and Medium-Sized Fresh Food Enterprises in Guangdong Province: An Input to Similar Industry Benchmarking
Authors: Zhang Shuxiang
Published: December 2024

The dissertation proposal assesses the SCOR model's application in Guangdong Province's fresh food e-commerce sector using a mixed-method approach with data from 420 SMEs. It aims to analyze supply chain management efficiency across key dimensions like planning, procurement, production, distribution, and returns.The study reveals that SMEs are generally satisfied with their supply chain management, despite a surprising finding that supply chain efficiency is universal and balanced among SMEs, regardless of size or financial performance. This challenges the common belief that efficiency is directly linked to business size or financials.The research offers recommendations for stakeholders, including policymakers and managers, to improve supply chain maturity and efficiency. It aims to contribute to a deeper understanding of supply chain practices and inspire further exploration of optimization strategies in the fresh food e-commerce sector in Guangdong and other regions.
The Impact of ESG Disclosure on Corporate Performance: A Case Study of Anta Group
Authors: Wang Yuchen
Published: December 2024

Under the "dual carbon" goal of 2020, carbon emission is an issue that has received more and more attention. Carbon emission is the main topic of environmental factors research in the context of ESG, and corporate ESG practice is the focus of investors. In recent years, more companies have begun to disclose their ESG practices to help investors better understand their sustainability capabilities and meet their sustainable investment requirements. This study takes Anta Group as an example to further explore the role of ESG practice on corporate performance, so as to promote the company to further improve its ESG disclosure and build a good social image and sustainable development.
Digital Transformation and Innovation Performance of Selected Manufacturing Firms: A Policy Guide for Accelerating Innovation Performance
Authors: Liu Wei
Published: December 2024

This study investigates the relationship between digital transformation and innovation performance in selected manufacturing enterprises, with a particular focus on the mediating role of dynamic capabilities. Regression and correlation analyses reveal that digital transformation significantly enhances innovation performance, particularly in technological advancement, service innovation, and management innovation. The findings indicate that enterprises investing in digital technologies achieve enhanced innovation outcomes, enabling them to better respond to market demands and stay competitive. Additionally, the study reveals that dynamic capabilities—specifically opportunity perception, opportunity grasping, and resource integration—partially mediate the relationship between digital transformation and innovation performance. This suggests that while digital transformation directly drives innovation, its impact is amplified through the development of dynamic capabilities, enabling firms to adapt more effectively to changing environments. The study underscores the importance of fostering both digital transformation and dynamic capabilities for sustainable innovation and long-term competitiveness in the manufacturing sector.
Ruminations on the Construction of the Assistance System for Expert Supporters in Criminal Proceedings
Authors: Hu Yuting
Published: December 2024

China established the expert supporter system in the field of criminal proceedings as early as 2012. However, factors such as unclear expert qualifications, expert peer pressure and economic difficulties of the parties make it difficult for the expert auxiliary to participate in the litigation, and the parties are unable to effectively cross-examine the expert opinions involving specialized issues. The construction of the criminal expert aid system is an effective means to solve the above dilemma, through the state aid to resolve the parties to hire experts, to ensure that the expert aid actually participate in the litigation, to protect the substantive equality of the litigation, so that the expert aid system is no longer just a “law within the book”. This article puts forward some specific ideas on the assistance system for expert supporters in criminal proceedings, with a view to improving and reforming the expert supporter system in China, by drawing on relevant systems at home and abroad.
Enhancing Managerial Accountability: An Analysis of the UK Corporate Governance Code (2018)
Authors: Ma Junyu
Published: December 2024

This article examines the impact of the UK Corporate Governance Code (2018) on managerial accountability, focusing on its provisions for transparency and the "comply or explain" principle. It evaluates the Code's strengths, including fostering stakeholder trust and encouraging ethical governance, while addressing key criticisms such as rising compliance costs and the limitations of its voluntary framework. The discussion highlights the evolving role of corporate governance in the context of global economic changes and increasing environmental, social, and governance (ESG) expectations. The article concludes that while the Code has significantly advanced managerial accountability, its future success depends on its adaptability to emerging challenges and its ability to strike a balance between flexibility and enforceability.
On Listed Enterprises Favoritism, Financial Short-Selling Brought About by Various Warnings and Countermeasures-Example Based on Luckin Coffee Co.
Authors: Zhao Hongkai
Published: December 2024

With the rapid development of the global economy and the maturity of the capital market, the number of financial fraud incidents of listed companies is increasing, which has become the focus of the market. This not only makes us ponder — what are the reasons that drive enterprises to commit frequent fraud and what lessons such incidents can bring us. This paper analyzes the history of Luckin Coffee Co., LTD. (hereinafter referred to as Luckin or Luckin Coffee), the causes of fraud, and introduces relevant academic documents to analyze the various warnings and relevant countermeasures brought by the short selling of Rising Company.
Stock Price Forecasting Based on the Gauss-Newton Method
Authors: Zhou Quan
Published: December 2024

The purpose of this study is to explore the stock price forecasting method based on the Gauss-Newton method. In this work, through a literature review, the existing stock forecasting methods were analyzed, and it was noted that there is a lack of attempts to construct nonlinear regression models using the Gauss-Newton method in existing research. The practical operation section provides a detailed description of data reading, fitting of the logarithmic regression model, the construction process of the exponential regression model and the power function regression model, as well as parameter estimation and forecasting using the Gauss-Newton iterative method. By comparing the mean square error and graphical analysis of different models, the optimal model is determined. The significance of this study lies in providing investors with a new tool for understanding market fluctuations, which helps in formulating more scientific risk management strategies.
Empirical Study on How Ordinary Shareholders Avoid the Operational Risk of Listed Companies through Public Information
Authors: Wang Shuqing
Published: December 2024

In the capital market, individual investors face challenges in identifying and avoiding the operational risks of listed companies. This study focuses on the practical feasibility of risk management using publicly available information, reviewing the types of operational risks and their influencing factors, and analysing the mechanisms and limitations of obtaining public information.  This paper constructs an empirical research framework by collecting and preprocessing relevant data to evaluate the specific role of public information in helping investors avoid operational risks in listed companies. The research findings reveal the critical importance of effectively processing and utilising public information, and further validate the practicality of the theoretical results through case analysis.
Factors Affecting the Purchasing Behaviors of Virtual Commodities for Otome Game Players: Case of Light and Night
Authors: Wang Xiangfei , Phakdeephirot Nutteera
Published: December 2024

The objectives of this research were (1) To examine the impact of game story, character set, dubbing music, and art style on player satisfaction in the otome game “Light and Night”. (2) To examine the impact of the game story, character set, dubbing music, and art style on player flow experience. (3) To examine the relationship between player satisfaction and the flow experience, and their impact on in-game purchase intentions. Major Findings/Results: (1) In terms of the impact of game story, character set, dubbing music, and art style on player satisfaction, the results of the research show that all of these elements significantly increase player satisfaction with the game, thus indicating a direct correlation between game design elements and overall player satisfaction. (2) In terms of the impact of game story, character set, dubbing music, and art style on players' immersive experience, it was found that, in particular, the quality of character setting and dubbing music can significantly improve players' immersive experience and enhance their emotional and flow experience of the game. (3) Regarding the relationship between player satisfaction and flow experience and its impact on purchase intentions, the research shows that higher satisfaction and immersive experiences significantly increase the likelihood of players purchasing virtual goods, highlighting a positive feedback loop between these variables and purchase behavior.
The Pivotal Role of Accounting in Civilizational Progress and the Age of Advanced AI: A Unified Perspective
Authors: Chen Bing
Published: December 2024

This paper comprehensively explores the significant role that accounting plays in the progress of social civilization and delves into the profound impact of accounting on the advancement of social civilization, integrating its historical evolution and modern applications with emerging technological trends in Artificial Intelligence (AI), Artificial General Intelligence (AGI), Artificial Superintelligence (ASI), and Universal Basic Income (UBI). By examining accounting's role in fostering economic growth, corporate governance, governmental functioning, and social equity, alongside the transformative potential of advanced AI, the paper highlights how these domains interconnect to shape future societies. Comparative analyses between socialist and capitalist accounting systems underscore diverse approaches to leveraging AI technologies for equitable development and innovation. The findings illuminate the indispensable role of accounting as a cornerstone for global progress and ethical advancement in an AI-dominated era.
Current Status and Prospects of Direct Hydrogen Production from Seawater in China
Authors: Chen Guangming , Cui Zongbiao , Yang Xianhua , Deng Yusen , Yu Xiaozhong , Ge Chang , Jia Chunsheng , Luo Xia
Published: December 2024

This paper summarizes the current research status and future outlook of direct hydrogen production technology from seawater in China. With the growth of global energy demand and prominent environmental problems, hydrogen energy has been attracting attention as a kind of clean energy. The research on direct hydrogen production from seawater in China involves various fields such as electrolysis of water, photoelectrochemistry, electrocatalysis, membrane technology and polygeneration technology, and has made progress in demonstration projects, joint test bases, system integration and optimization, and industrial chain development. Technology application scenarios include offshore oil platforms, coastal islands, ocean development and protection, emergency energy supply and industrial parks. Looking ahead, China will focus on technology development priorities such as high-efficiency catalysts, advanced membrane technology, intelligent control systems, optimization of multi-generation technology, application of new energy integration technology, exploration of low-cost materials and improvement of seawater pretreatment technology. At the same time, it will promote the large-scale application and industrialization of seawater direct hydrogen production technology by constructing large-scale demonstration projects, perfecting industrial chain, expanding policy support and financing channels, strengthening international cooperation and technical exchanges, building human resources, as well as market promotion and application scenario expansion.
The Impact of Cultural Integration in Hotels on Consumer Satisfaction
Authors: Yang Wenwen
Published: December 2024

Nowadays, with the rapid development of tourism e-commerce platforms, hotel online booking business is booming day by day. Consumers' purchase intention is more and more susceptible to the influence of customer experience evaluation. At the same time, the upgrading of consumer spiritual demand and the needs of tourism culture and hotel culture make high-star hotels to speed up the pace of transformation and upgrading. Based on this development trend, this paper grabs the online reviews of TripAdvisor, the world's leading travel evaluation platform, and takes "Suzhou Tonilo Lamborghini Book Hotel" as an example to deeply study the impact of culture integration into hotels on consumer satisfaction. Through the research of online text content, The multivariate statistical regression model is used to analyze the main factors affecting the customer satisfaction. The results show that there are 2 types of experience and 4 kinds of influencing factors related to the research content of this paper. Among them, room comfort, service quality and additional environment have a significant positive impact on star rating, but room environment does not have an impact on star rating.
The Impact of Social Media Marketing Strategies on Corporate Brand Loyalty and Survival in the Competitive Environment
Authors: Chen Haolin
Published: December 2024

In the digital age, social media has transformed the landscape of corporate marketing and brand promotion. This paper explores the intricate relationship between social media marketing strategies and corporate brand loyalty, with a significant emphasis on how these strategies influence consumer perceptions of brands and their attitudes towards them. Additionally, the study delves into the strategies employed by enterprises that thrive in highly competitive environments without relying on traditional marketing approaches. The research methodology encompasses a blend of quantitative and qualitative methods, including surveys and case studies, to comprehensively explore these phenomena. The findings contribute to the existing body of knowledge in the fields of marketing and management.
Analysis of the Current Situation of English Majors’ Oral English Class: A Case Study of Xiamen University Tan Kah Kee College
Authors: Chen Yibei , Wang Yuqing
Published: December 2024

In the context of reform and opening up and the requirements of the new era, foreign language teaching has always been an important part of cultivating high-quality talents in China, especially English teaching. However, there is still a traditional way of education in the college oral English classroom. Teachers focus on the output of English knowledge, while students need more opportunities to practice speaking English. Thus, there is still room for improvement in the content and form of oral English classes in colleges and universities, which has some research value. In order to improve the oral English classes in today’s colleges and universities, this study takes the English majors’ Oral English class at Xiamen University Tan Kah Kee College as the research object. Based on the interview of the oral English teacher and the observation and analysis of the classroom, the strengths and weaknesses of the classroom are discussed, alongside feasible suggestions and reflections. Meanwhile, it can provide some reference for foreign teachers and other majors in teaching English as a foreign language and provide practical suggestions for improving the content and form of the speaking class in the future to improve students’ language skills and communicative abilities in an absolute sense.
Practical Case Exploration of Cultural Tourism Integration in Public Libraries
Authors: Zhu Wei
Published: December 2024

The role of public library has changed in this era. Public library and tourism are bonding together nowadays. Consumer and readers’ have changed over the time, they are expecting brand new experiences in tourism and library. As the traditional cultural and information resources collection and service institutions, it’s role in the integrated development of cultural tourism has become more and more prominent. Libraries have rich historical and cultural resources and professional service capabilities which can provide rich materials and intellectual support for the innovation of cultural tourism products.
The Impact of Ideological and Political Education on Students' Mental Health: Insights into Educational Management and Policy Development
Authors: Li Shuang , Li Wanyin , Huang Qianting , Chen Yiyang , Ding Xiaoxi
Published: December 2024

This study explores the critical role of Ideological and Political Education (IPE) in promoting students' mental health, focusing on the interplay between educational management and policy development. By integrating Self-Determination Theory (SDT) and Social Constructivism, the study provides a theoretical framework to examine how IPE influences psychological well-being through enhanced value recognition, emotional regulation, and social adaptability. Empirical analysis based on diverse student groups demonstrates both the direct and indirect impacts of IPE on reducing anxiety and depression while fostering positive emotions and psychological resilience. The findings highlight the importance of optimizing policy support, including curriculum enhancement, participatory learning opportunities, and expanded mental health resources. However, the study acknowledges limitations such as the regional focus of the sample and the lack of longitudinal data. Future research should address cross-cultural applicability and leverage big data and AI technologies to refine mental health evaluation and intervention frameworks, thereby advancing the global understanding of the synergy between education and psychological well-being.
Influence of E-Sports Brand Advertising on Fans' Consumption Behavior
Authors: Chen Zaiyi
Published: December 2024

Based on the analysis of the current situation of e-sports and fan groups, this paper explores the influence of brand advertising in e-sports on fans' consumption behavior and intention. It is suggested that brands should strive to reach a connection with the competition when designing and releasing advertisements, pay attention to fans' emotional feedback, and design targeted advertisements for fans, so as to attract influential consumer groups in this emerging field. Enhance their purchase desire and consumption behavior.
A Multi-case Study of Green Port-adjacent Industrial Cluster Development Based on Grounded Theory
Authors: Li Hongyuan
Published: December 2024

This paper adopts a multi-case analysis approach, selecting the port-adjacent industrial clusters in Ningbo, China, Rotterdam, Netherlands, and Tokyo Bay, Japan, as exemplary cases for study. It collects multi-source data and information from academic literature, official channels, news reports, and social media. By applying the three-level coding process of Grounded Theory, it delves into successful practices of these cases in constructing and developing green port-adjacent industrial clusters, and extracts the valuable experiences of them. Based on this, a series of strategic conclusions aimed at promoting the development of green port-adjacent industrial clusters are summarized, providing useful references and insights for the formation and development pathways of port-adjacent industrial clusters in other regions.
Data Assets and Enterprise Innovation Performance
Authors: Yuan Xiaochuan
Published: December 2024

In recent years, data has shown an exponential growth trend in the era of rapid economic development. As a new asset, data has also played its practical application value on various platforms. It has become an important strategic resource for enterprises and even countries, providing favorable conditions for stimulating enterprises' innovation willingness and improving their innovation performance. Taking the data of China's A-share listed companies from 2014 to 2023 as research samples, this paper examines the impact of data assets on enterprise innovation performance and its mechanism. The results show that: (1) Data assets can help improve enterprise innovation performance; (2) Easing corporate financing constraints and promoting corporate integration into the global innovation network are the ways that data assets affect corporate innovation performance; (3) Compared with smaller enterprises, the promotion effect of data assets on innovation performance is more significant in larger enterprises. The research in this paper provides new empirical evidence for the microeconomic benefits of data assets, and has important practical significance and theoretical value for promoting enterprises to improve new quality productivity and promote high-quality economic development.
The Impact of Artistic Marketing on China's Luxury Market A Case Study of Gucci
Authors: You Zewen
Published: December 2024

The continuous expansion of today's luxury market reflects the rising economic strength of China. As people's purchasing power increases, so does their demand for spiritual aspects. The gradually improving aesthetic standards are posing a threat to the traditional luxury industry that is content with the status quo, thus the demand for excellent artistic marketing is becoming urgent. Gucci has a development history of nearly a hundred years, and its former design director's design themes, which combined Renaissance themes, innovated while inheriting its foundation. Undoubtedly, this brought positive guidance, but the change of design directors also undoubtedly had a huge impact. Artistic marketing has its pros and cons, and it should be more cautious in terms of promotion.
A Research on the Impact of the Belt and Road on the Euro Exchange Rate
Authors: Xu Miaoqian
Published: December 2024

With the advancement of the Belt and Road Initiative, the currency exchange rate fluctuations of various countries along the route are significantly influenced by it. The Belt and Road Initiative is based on the import and export trade of the countries along the route and has emerged as one of the crucial factors affecting currency exchange rate fluctuations. The current research focuses on the impact of the Belt and Road Initiative on the euro exchange rate. Regarding import and export trade, the economic development level of countries worldwide, the inflation rate, and the demand for money, it aims to review, investigate, and study previous research outcomes such as "Fisher's Theorem", "Cambridge Equation", and Keynes's liquidity preference theory. By citing the white paper "Jointly Building the Belt and Road: A Major Practice of Building a Community with a Shared Future for Mankind" issued by The State Council, this paper employs literature analysis and regression analysis methods to demonstrate the influence of the Belt and Road Initiative on the fluctuation of the euro exchange rate from multiple perspectives, in all respects, and at a profound level. Through the Belt and Road database and the World Bank to search for relevant data and by citing relevant literature from CNKI and WOS, we already have come to a conclusion that the Belt and Road has a significant influence on the rate of euro, good prediction results have been achieved.
Beyond Traditional Norms Examining the Efficacy of Civil Liability in Marital Disputes through a Management Science Perspective
Authors: Wei Jiaxu , Ye Rui , Fan Yunting , Ding Xiaoxi , Chen Yongze , An Kejia
Published: December 2024

This study aims to explore the applicability and efficacy of civil liability in resolving marital disputes through the lens of management science frameworks. As marital disputes grow increasingly complex in modern society, traditional legal frameworks often fail to address these conflicts effectively and equitably. By integrating the principles of civil liability with advanced management science tools, this research investigates how innovative approaches can improve the resolution process. The methodology involves a combination of legal analysis, game theory, and decision-making models to evaluate the effectiveness of civil liability in achieving fair and efficient outcomes. Legal analysis provides the foundational understanding of civil liability principles, while game theory offers insights into strategic interactions between disputing parties. Decision-making models, such as multi-criteria decision analysis (MCDA), are applied to assess the multidimensional outcomes of civil liability mechanisms. The findings indicate that civil liability mechanisms, when aligned with management science principles, not only streamline dispute resolution but also enhance fairness and satisfaction among the involved parties. By leveraging structured decision-making and strategic models, this study demonstrates the potential of civil liability frameworks to bridge the gap between legal norms and practical conflict resolution needs.
Innovation Efficiency of Chinese Manufacturing Listed Companies Towards the Development of An Improved Policy Guidelines
Authors: Zheng Xiaoyan
Published: December 2024

This dissertation examines the factors influencing innovation efficiency among Chinese listed manufacturing companies, aiming to develop improved policy guidelines. The study focuses on the impact of enterprise digitalization level and government subsidy intensity on innovation efficiency. The findings indicate that digitalization significantly boosts innovation efficiency, while government subsidies also positively contribute with  pronounced effect. Furthermore, the study reveals enterprise ownership and region variations, with enterprise digitalization having a significant impact on innovation efficiency in state-own enterprise but not in non state-owned enterprise, while government subsidies having a significant impact on innovation efficiency in developed provinces but not in non-developed provinces. The results highlight the heterogeneity of these factors across different ownership types and regional development levels. Based on these findings, the thesis recommends that enterprises should enhance their digital transformation efforts and that governments should refine subsidy policies, increase resource investment, and improve the policy environment to jointly promote a comprehensive leap in the industrial value chain and high-quality economic development.
Research on EPC Project Management Mode and Improvement Based on Blockchain Technology
Authors: Shen Lingyi
Published: December 2024

The concept of project management first appeared in the industrial revolution of the last century, and then with the continuous development of economy and the trend of globalization, project management has also improved. Therefore, with the rapid development of gold today, project management still occupies an indispensable position in the development of enterprises and projects. However, most current research on project management is limited to the analysis of a single project, and the conclusions obtained cannot be extended to more aspects. Therefore, this study adopts multi-case analysis, comparative analysis and literature analysis to further analyze the main data center project of China Railway and Yidu City Civic Center project. The progress of EPC project management method based on DBB mode and the improvement of EPC+PPP mode to EPC mode are concluded. Finally, combining with today's hot blockchain and big data technology, the possibility of further development of EPC+ mode is proposed.
Service Excellence in the Age of Personalization a Comparative Study of Luxury Hotel Management Practices
Authors: Qi Shichang
Published: December 2024

This study explores the role of personalized services in luxury hotel management, focusing on applying Service-Dominant Logic (SDL) in high-end hospitality. By analyzing the service practices of two prominent luxury hotels—Sanya Tianfang InterContinental and Sanya Haitang Bay JW Marriott—this research compares and contrasts their approaches to personalized services, offering valuable insights into effective strategies for enhancing guest experience. The findings highlight how personalized services contribute to differentiating brands in a competitive high-end market and serve as a key tool for integrating local cultural values with global hospitality standards. In addition, this study provides theoretical contributions to service management and consumer behavior, particularly in the context of luxury tourism. It offers practical recommendations for hotel managers to optimize service offerings and suggests pathways for the sustainable development of the luxury tourism market through aligning consumer experience with broader cultural and brand objectives.
A study of College Students' Employment Intention in Tourism Service Industry Based on Planned Behavior Theory
Authors: Lyu Haolin
Published: December 2024

Based on the theory of planned behavior, this paper conducted a questionnaire survey on the employment intention of some college students in Shenzhen in the tourism service industry, and obtained 310 valid questionnaires. With the help of SPSS27.0 software, descriptive statistics and difference analysis were carried out to explore the relevant influencing factors of college students' employment intention in tourism service industry, and corresponding countermeasures and suggestions were put forward. It is found that the behavioral attitude, subjective norm and perceived behavior in the theory of planned behavior have a significant impact on the employment intention of college students in the tourism service industry. According to the research results, this paper puts forward countermeasures and suggestions to promote college students' employment intention in the service industry from three dimensions: improving their own personality traits to improve college students' employment cognition in the tourism service industry, creating a social support atmosphere for service industry employment, and improving college students' comprehensive employment ability in the service industry, in order to provide reference and reflection for subsequent research on college students' employment intention in the service industry.
The Influence of the Age Factor on The Quest for Value for Money in The Phenomenon of Electronic Product Leveling
Authors: Liu Yuanxi
Published: December 2024

With the continuous development of electronic product technology, a large number of reasonably priced, high-performance flat products have appeared on the market. This phenomenon reflects that consumers are highly concerned about the price-performance ratio. The age factor plays an important role in consumers' purchasing decisions, and there are significant differences in the behaviors and preferences of consumers of different age groups in the pursuit of cost-effective products. In this paper, we conduct an in-depth analysis of the demand, purchasing behavior and preference of consumers of different age groups in the phenomenon of electronic product replacement, and explore how the age factor affects consumers' pursuit of cost-effectiveness. It is found that there are significant differences between teenagers, middle-aged people and the elderly in terms of their concern for cost-effectiveness, purchase decision-making process and brand preference. In the phenomenon of electronic product parity, young people are more concerned with appearance and trends, middle-aged people emphasize comprehensive value and rational comparison, and older people tend to choose brands that are easy to use and trustworthy. These differences are closely related to consumers' economic status, consumer attitudes, technology acceptance, and risk tolerance. This paper aims to provide a reference for marketing strategies in the electronics market and to provide new perspectives for future research.
Research Progress of Membrane Distillation Technology in Coal Chemical High Salt Wastewater Treatment
Authors: Liu Yong , Zhang Dequan , Ling Jianming , Xurigan  , Li Yun
Published: December 2024

The treatment of high-salt wastewater from coal chemical processes has been a significant aspect of the pursuit of zero wastewater discharge. However, this treatment method is also the most energy-intensive process. Furthermore, the Erdos region is characterised by a scarcity of water, which presents a significant challenge for the coal chemical industry. Consequently, membrane distillation technology has emerged as a highly promising treatment option in recent years, attracting increasing research attention. The current limitations of membrane distillation technology in the treatment of high-salt wastewater from the coal chemical industry are still a topic of research. To further realise the application of this technology, research is mainly focused on aspects such as energy utilisation, component optimisation, material research and development, and economic evaluation. With the depth of research and the maturity of application, membrane distillation technology has become a promising new technology in the treatment of coal chemical high-salt wastewater.
Research Progress in Catalytic Desorption of Organic Amine CO2 Absorbent Solution
Authors: Liu Lei
Published: December 2024

In this paper, the research status of CO2 catalytic desorption regeneration technology in amine absorption system was reviewed. The types, characteristics, advantages and disadvantages of heterogeneous catalysts and the challenges faced were introduced in detail, The main factors affecting the desorption and regeneration performance of catalysts were summarized. Finally, the current situation of catalytic desorption regeneration for CO2 capture after combustion was analyzed, and the future research trend was prospected.
Digital Capability, Digital Innovation and Enterprise Performance of Selected Small and Medium Enterprises (Smes) In Guangdong, China: Guidelines for Growth and Policy
Authors: Zhu Yuping
Published: December 2024

This study investigates the impact of digital capability and digital innovation on enterprise performance, including customer satisfaction and objective evaluations, among Small and Medium Enterprises (SMEs) in Guangdong Province, China. Through an extensive literature review, quantitative research methods including mean analysis, correlation analysis, and regression analysis were employed to analyze survey data collected from SMEs. The results reveal a significant positive relationship between both digital capability and digital innovation, and enterprise performance. Specifically, SMEs with stronger digital capabilities and higher levels of digital innovation tend to demonstrate better enterprise performance in terms of customer satisfaction and objective evaluations such as sales growth rate and profit margin. Furthermore, based on the findings, the study proposes guidelines for growth and policy recommendations aimed at enhancing the digital capabilities and fostering digital innovation, ultimately contributing to their competitiveness and performance in the digital age.
EMD-CNN Based Classifier to Detect Schizophrenia from EEG Signals
Authors:   Assistant Professor, Department of Electrical & Electronics Engineering Ahalia School of Engineering & Technology, Palakkad (Kerala), India., Padayatty Rosu Varkeyachan , Fathima N.K Thasneem ,   Associate Professor, Department of Electrical & Electronics Engineering, MES College of Engineering, Kuttipuram (Kerala), India., Mohanraj V  ,   Machine Learning Lead, Standard Chartered Bank, Chennai (Tamil Nadu), India.
Published: December 2024

The United Nations has designated schizophrenia (SZ) as a serious mental illness that affects 20 million people globally. Hallucinations, delusions, and incredibly chaotic thought and behavior are some of the symptoms. SZ has an impact on a person in all facets of his life and makes it challenging to go on. Traditionally, a skilled psychiatrist uses thorough and incisive patient interviews to make the diagnosis of SZ. This procedure takes a long time and couldlead to mistakes. Therefore, the purpose of our effort is to assist physicians in making diagnoses effectively. In this work two different methods for the detection of SZ is compared and the results are analyzed. In the first method Local binary pattern which is a computationally simple andproven technique in image processing is modified and madecapable to be applied to the 1D EEG signal and histogram based features were extracted from it. Using the histogram features a feature matrix is formulated. The obtained matrix is used to train various machine learning models using the classification learner toolbox in matlab and K- nearest neighbour with medium kernel obtained a comparatively better training accuracy. Further this model is tested and an overall accuracy of 83.3 % is obtained. In the second method the EEG signals were decomposed using empirical mode decomposition (EMD). EMD is one of best signal processing technique that handle the nonlinear, nonstationary and aperiodic signal like EEG. EMD is performed to decompose the signal into various Intrinsic mode functions (IMF). Then differential entropy, a stastistical feature used to determine the randomness measure of a signal were extracted from the EEG signals. Further a feature matrix is formulated and it is trained andtested on the renowned deep learning model, the convolutional neural network. CNN performed well on the EEG data and an overall accuracy of 86 % is obtained. From the results we can see that the deep learning model (CNN) outperformed the machine learning model (K-NN) and is good and robust in detecting SZ using EEG signals.
Skin Cancer Cell Detection Using Machine Learning and Image Processing
Authors:   Professor, Department of Computer Science and Engineering, FET, Jain (Deemed to be University), Ramanagaram (D), Bangalore, (Karnataka), India., Verma C Dr. Devaraj , Prajwala R  ,   Student, Department of Computer Science and Engineering, FET, Jain (Deemed to be University), Ramanagaram (D), Bangalore (Karnataka), India.
Published: December 2024

Skin Cancer in today’s scenario is the most trending and common of all the cancers that directly affect the skin of the patient. It is the fifth most common type of cancer found in men and the sixth most common type in women. Surgery, Chemotherapy, Radiation therapy, and immunotherapy techniques are used to kill cancer cells. The research investigated cancer detection, thoroughly discussed it, and proposed the methodologies for early diagnosis of the diseases using image processing and machine learning. The proposed model is designed with the procedures of collection of dermoscopy images and undergoes pre-processing, segmentation, feature selection, and predictions. Multiple algorithms were utilized for the medical diagnosis of the cancer cells including Conventional neural network (CNN), Support vector machine (SVM), Decision Tree, and Random Forest to detect the cancer cells with higher accuracy.
Insights into Therapeutic Peptides and their Quality Control
Authors:   Department of Medicinal Chemistry and Quality Control, Faculty of Pharmacy, University of Tishreen, Latakia (Syria), Middle East., Abbood Ayat
Published: December 2024

Therapeutic peptides have been garnering renewed attention in recent years. The manufacturing of peptides and protein-based drugs rapidly expands within the pharmaceutical sector. These compounds may be obtained through solid-phase synthesis or biotechnological methods. Peptides and proteins are delicate molecules that undergo chemical or physical changes such as oxidation of methionine, deamidation of asparagine and glutamine, isomerization, aggregation, and denaturation during production. The alterations could compromise the stability of the drugs, consequently impacting the therapeutic efficacy of the protein or peptide. It is essential to effectively monitor the quality of proteins or peptides to verify the preservation of their biological properties throughout the production process. This review outlines the official guidelines for quality control of peptides manufactured through solid-phase synthesis or genetic engineering. The discussion also covered the frequently utilized separation techniques for evaluating the efficacy of therapeutic peptides.