bluuebunny/crossref_metadata_2025 huggingface dataset:
From Theory to Practice: A Multidimensional Optimization Method for Improving the Charging Efficiency of Electric Vehicles
Authors: Yi Shihan
Published: December 2023

This paper focuses on the optimization of dynamic wireless charging technology for electric vehicles to address challenges such as long charging time and few charging locations. The research covers transmit and receive unit optimization, system and power management improvements, and the impact of environmental conditions on charging efficiency. In terms of the optimization of transmitting and receiving devices, the paper discusses the optimization of power, frequency and directivity to improve the energy transmission distance and efficiency. In terms of system and power management optimization, energy loss is reduced through methods such as magnetic disc structure improvement, and the importance of proper power management for battery life and charging safety is emphasized. In addition, the influence of environmental conditions (such as temperature, humidity, and distance) on charging efficiency is also elaborated. High temperature, high humidity and long distance may affect the system performance. The paper puts forward some countermeasures for these effects, such as heat dissipation design, humidity cancellation technology and signal processing technology. However, further field validation and technical, cost and standard issues need to be resolved to achieve commercial application of the technology.
Monte Carlo-based Charging Demand Forecasting Model and Market Space Study
Authors: Zhang Jun , Peng Xiaojin , Lv Wang , Yu Rujie , Xu Ziqi
Published: December 2023

With the rapid development of China's new energy vehicle industry, charging infrastructure has gradually become a key factor affecting the further development of the new energy vehicle industry. Scientific and reasonable forecasts of the future development scale of the domestic charging infrastructure market have become an important element supporting the business planning of various related parties such as vehicle enterprises, charging pile enterprises, and the energy industry. Based on the distribution data of electric vehicle traveling and charging characteristics obtained from the industry research, this study proposes a set of charging infrastructure prediction model based on the principle of energy supply-demand balance, predicts the development scale of charging infrastructure in the country and key cities, and further analyzes the market competition and future market margin of the key cities, and evaluates the difficulty of future market entry in the key cities, which provides a basis for further development of the charging infrastructure industry. The difficulty of entering the future market in each key city is assessed, providing business decision support for industry participants. In the future, the charging infrastructure development scale prediction results proposed by this study can be used as the input parameters of the charging pile layout planning model to enhance the scientific nature of the charging infrastructure layout and help the industry to develop in a high-quality manner.
Analysis of the Impact of Green Innovation and Corporate Green Performance
Authors: Zhang Gaohan
Published: December 2023

Green innovation plays a crucial role in contemporary enterprise development, and its impact on enterprise green performance is multifaceted and far-reaching. From policy guidance to technology promotion to intellectual property protection, this series of measures together motivate enterprises to be more active in innovation in the field of environmental protection and improve the level of green performance. First, policy support provides enterprises with clear directions and incentives, and through financial incentives, regulations and other means, it promotes enterprises to better fulfill their social responsibilities and accelerates the pace of green innovation. Secondly, the improvement of technology level and the protection of intellectual property rights have provided the technical basis and legal guarantee for green innovation, accelerated the dissemination and application of environmental protection technology, and improved the core competitiveness of enterprises in the field of environmental protection. Finally, from the perspective of industry chain resilience, green innovation makes the whole industry chain more adaptable and growth potential, provides new market opportunities for enterprises, and promotes the upgrading and sustainable development of the whole industry chain. Overall, green innovation not only provides enterprises with a new impetus for development, but also pushes them to fulfill their social responsibilities more actively, and prompts the whole industry chain to move towards a greener, more innovative and sustainable direction.
Modeling Research and Analysis of Multibeam Bathymetric Systems
Authors: Xia Xiaolong , Wang Jianhao , Huang Dong , Zhou Zhouyou
Published: December 2023

This paper conducted research on the application of multi beam measurement system for underwater detection. Firstly, a mathematical model was established and determined for the coverage width of multi beam bathymetry and the overlap rate between adjacent bands; Secondly, based on the rectangular sea area to be measured, a mathematical model for the coverage width of multi beam bathymetry was established. Finally, in order to meet the requirement of 10% to 20% overlap between adjacent bands, a set of survey lines with the shortest measurement length and capable of fully covering the entire sea area to be measured was further studied and designed.
Tongue image datasets and performance evaluation
Authors: Deng Xiangyu , Ma Tianchao
Published: December 2023

With the development of computer medicine, data has become an extremely important resource, and the construction and research of dataset is an important means to promote the development and innovation of medicine. Because there are few tongue image datasets and most tongue body image datasets are in a non-public state, the research of medical related algorithms is hindered to some extent, especially in computer vision and medical artificial intelligence. The constructed tongue image data set provides a large number of tongue images and related clinical information, which can be used to train computer medical models such as tongue image detection and tongue segmentation. A Tongue dataset based on deep learning was established by selecting and labeling the collected tongue images manually. The datasets contain 2,021 tongue images, which are randomly divided into training sets, verification sets and test sets according to the proportion, and the dataset performance evaluation experiments are carried out on the existing algorithms. Testing on convolutional neural network models such as YOLO detection and tongue segmentation, the average accuracy of detection and segmentation Miou value can reach 97.0% and 99.95%, respectively. The experimental results show that the data set can obtain high accuracy in detection and segmentation algorithms, and can be further applied to related research in the medical field. Tongue dataset data set can be downloaded at the following url: https://github.com/xiaohuomiao12/datasets.git.
Optimization Study of Desert Traversing Routes Based on Floyd and Greedy Algorithms
Authors: Liu Xiaolin , Qi Yuyang , Li Xuecong , Hai Jing
Published: December 2023

This paper is based on a desert traversal game to reach the endpoint within the specified time and keep as much money as possible, so it is necessary to give a reasonable choice of routes and optimize the routes. This paper defines the adjacency matrix of the graph and borrows the Floyd algorithm to get the two shortest routes: "to mine" and "not to mine"; secondly, based on the basic assumption that "players will give priority to routes containing villages", the shortest routes are optimized and the shortest routes are optimized to be "to mine" and "not to mine". Secondly, based on the basic assumption that "players will prefer the route containing villages", the shortest route is optimized to the shortest route passing through villages; Thirdly, based on the objective of "retaining as much money as possible", mining in mines is divided into "continuous mining" and "non-continuous mining". "Finally, the greedy method is used to obtain the funds of the three cases of the two routes are 9410-yuan, 10430 yuan, and 9800 yuan, and the remaining funds are compared to obtain the optimal route for the player to pass the game. Afterward, the weather probability of each day is estimated and the weather sequence is randomly generated; secondly, combining the map information and the weather condition of the day, the dynamic strategy should be adopted by the player given; again, Monte Carlo simulation is used to simulate the whole decision-making process, and the performance of the model is optimized by adjusting the parameters of the model.
Research on the Application of Layered Architecture in Computer Software Development
Authors: Tu Zhenan
Published: December 2023

The objective of this study is to examine the application of layered technologies in computer software development. As software scale and complexity continue to increase, the adoption of appropriate software architecture becomes crucial. Layered architecture, a commonly employed software design pattern, enables effective organization and management of software systems, enhancing their maintainability, scalability, and reusability. This paper explores the fundamental principles and advantages of layered architecture and presents its specific applications in computer software development, such as client-server architecture, MVC architecture, and microservices architecture. Through analysis and comparison of relevant case studies, the suitability and effectiveness of layered technologies in different contexts are evaluated. Lastly, the study concludes with an overview of the application prospects of layered technologies and suggests future research directions.
Optimal Design of Heliostat Field Power Based on Whale Optimization Algorithm and Gravitational Search Algorithm
Authors: Duan Xinting , Li Jincheng
Published: December 2023

With the deterioration of global climate and the worsening of energy crisis, the construction of a new power system mainly based on new energy is an important measure for China to realize the goal of "carbon peak" and "carbon neutrality". In order to maximize the power generation efficiency of the mirror field, the layout design of the heliostat is particularly important. In this paper, we constructed a model to calculate each optical efficiency loss component, cosine efficiency, atmospheric transmittance, and discretized the points on the heliostat, and calculated the shadow masking efficiency by coordinate transformation, and finally obtained the collector truncation efficiency. Next, the optimal design of the heliostat field in different cases is obtained using the whale optimization algorithm and the gravitational search algorithm.
The Pre-qin Confucian View of Dignity and its Contemporary Value
Authors: Zhou Erxiang
Published: December 2023

Pre-Qin Confucian scholars and their classics attach great importance to the concept of human dignity, which is an important embodiment of Confucian humanitarian spirit. How to maintain dignity in the “sense of shame”, how Confucius creatively transformed rituals to improve human dignity, and the realization of human dignity under relative equality will be the main issues discussed in this paper. The concept of dignity advocated by the pre-Qin Confucians fundamentally affirmed the value of human beings, which was highly praised by later scholars and intellectuals. In the new era, it is necessary to carry out a deeper discussion and research on the Confucian concept of dignity that highlights the people's right to life and personality to a large extent. How to trace back to the source and correctly interpret the Confucian concept of dignity, the most fundamental thing is to return to the discussion and discussion of this proposition by Confucian scholars and their classics. This article focuses on the Confucian classics, and tries to analyze the concept of dignity in pre-Qin Confucianism.
The Influence of the Hospital Service Leadership on of Employees Job Satisfaction
Authors: Huang Liang
Published: December 2023

The rapid development of modern society has led to the increasing popularity and improvement of education, resulting in the expansion of knowledge-based talent teams. Hospitals have been challenged with improving employee job satisfaction and identifying effective leadership styles that can foster a positive workplace environment. It is crucial to investigate the correlation between service-oriented leadership, work remodeling and job satisfaction, which greatly impacts the development of hospitals. Based on the research on the relationship between servant leadership, job redesign and work satisfaction, this paper proposes the influence of servant leadership on employees' work satisfaction and the mediating role of job redesign. After conducting a thorough literature review and administering a questionnaire based on established measures of service leadership, work happiness, and job remodeling from both domestic and international sources, online responses were collected from hospital employees. Statistical analysis was performed using SPSS 2.0 software. The results indicate that hospital service leadership has a positive effect on staff work happiness and that hospital service-oriented leadership positively affects staff work remodeling. Additionally, job remodeling is found to have a positive influence on employee work happiness and serves as an intermediary between hospital service-oriented leadership and employee work happiness.
How to Strengthen the Financial Risk Management of Enterprises in the Era of Financial Technology
Authors: Xu Yuhang
Published: December 2023

In recent years, artificial intelligence, blockchain and other emerging technologies have been gradually applied to traditional financial businesses, making the financial industry undergo great changes. However, there are two sides to everything. Although financial technology brings much convenience to people, it also generates some potential risks and hazards. This paper firstly analyzes the main financial risks faced by enterprises in the era of financial technology and their causes from a theoretical point of view; then finds that the financial risks faced by enterprises in China at present show a trend of diversification and complexity through empirical research, where the most prominent performance is the rise of credit default risk; finally puts forward the proposed measures to cope with these financial risks.
Measurement of Servitization Level of Manufacturing Industry based on Input-Output
Authors: Chu Peng , Jiang Zhu
Published: December 2023

To measure the servitization level of the manufacturing industry in Shaanxi Province and reveal the current situation of the servitization input and output. Based on the input-output tables of the whole country, Shaanxi provinces from 2002 to 2017, the direct consumption coefficient and the complete consumption coefficient are calculated to measure the input servitization level of Shaanxi's manufacturing industry and its subsectors. 56 listed manufacturing companies in Shaanxi Province were selected to measure the servitization level of manufacturing output in Shaanxi Province. The results show that from 2002 to 2017, the manufacturing industry in Shaanxi Province presents a development trend of seeking improvement in stability, but the development of servitization is slow, and the overall input servitization level is not high. The development among manufacturing industry and its subsectors is not balanced, and the gap of the input servitization level is large. The service import rate of manufacturing enterprises is not high, and the servitization level of manufacturing output is in the primary and intermediate stage. Based on those above, from the four points of policy support, optimizing the industrial structure, accelerating the integration and application of internet technology in the manufacturing industry and changing the traditional manufacturing concept, the corresponding suggestions to improve the servitization level of manufacturing in Shaanxi Province is put forward.
From Traditional to New Media: The Self-transformation of News Presenters
Authors: Yan Xinyao
Published: December 2023

With the advent of the new media era, the status and influence of traditional media have been gradually impacted and replaced. This paper takes the blogger "Anchor Pan Xiaorong" in Tiktok as an example, and discusses the self-presentation change of news presenters in the process of transition between traditional media and new media. By analyzing the self-presentation change of "Anchor Pan Xiaorong", we can understand the diversity, adaptability and trend of change of the role of the presenter.
A.I. as a Medium: The Curation and Consumption of Online News Against the Background of Media Convergence
Authors: Wu Elin
Published: December 2023

In recent years, with the rapid development of Artificial Intelligence (AI) technology (SAS,2023), the journalism industry has gradually produced a new mode of operation which, coinciding with the Covid-19 period (WHO,2020), has led to the explosive growth of the online news industry. People are beginning to popularize and follow up their attention to online news. In particular, the category of news media with the background qualities of integrated media is gradually entering into the public's view and becoming an important part of people's lives. On current social media platforms, the constructs of online news consumption and curation have rapidly evolved to become an important part of journalism. This development has to some extent contributed to the progress and reform of ‘online news' in the context of integrated media in the age of AI. In contrast, there are also potential online news consumers and curators in the journalism industry who are exhibiting new characteristics and working modes in line with the AI era.
Field Research and Study of Ceramic Wine Vessels in the Song Dynasty: Taking the Jingdezhen kiln as an Example
Authors: Rao Shun , Liu Jing
Published: December 2023

The purpose of this article is to discuss the social background of wine utensils from Song Dynasty and the aesthetic views unique to the same period. Through field study and research on kiln sites such as Hutian kilns in Jingdezhen, it focuses on analyzing ceramic wine utensils from this period. In the context of the political, economic, cultural, and aesthetic ideas of the Song Dynasty, with the theme of the aesthetic style reflected in Song Dynasty wine utensils, it tries to learn the aesthetic value and functional value of Song Dynasty wine utensils under the background of “emphasizing literature and restraining military” based on the understanding of people's normal lives, social conditions, and religious culture at that time. We hole that it can provide a certain reference for future wine ware research.
Overview of Logistics Finance Theories
Authors: Yan Mingxi , You Zhanjun , Wang Minghao
Published: December 2023

Logistics finance is of great significance in helping companies bail out. Not only that, different models of logistics financial business types also have different impacts on business risks. This article starts from logistics finance, expounds its role and significance in the modern economic system, subdivides logistics financial business into three aspects: logistics settlement finance, logistics warehouse receipt finance and logistics credit finance, and analyzes their role in supply chain management and the key role in the financial field, and further in-depth research on the risks faced by the logistics financial field. It is hoped to provide in-depth insights to practitioners and decision-makers in the field of logistics finance and help them better understand and manage the risks associated with it to ensure the sustainable development and successful implementation of logistics finance business.
Future Elderly Care Exploration and Practices: The Application of Intelligent Medical Technology in Promoting Health and Well-being Among the Elderly
Authors: Wang Yitong
Published: December 2023

The aging population is a global phenomenon, presenting challenges that modern societies have never faced before. Traditional healthcare systems, often under resourced and overburdened, are struggling to meet the complex needs of an increasing elderly population. This paper delves into innovative solutions through the adoption of intelligent medical technology, highlighting its significance in enhancing the health and well-being of the elderly. By exploring current practices, analyzing real-world case studies, and identifying the potential hurdles in technology adoption, this study provides insights into developing a more responsive, efficient, and inclusive future elderly care model.
Urban Resilience Evaluation and Optimization Research based on Rainfall Scenarios
Authors: Li Shuang , Li Chaolin
Published: December 2023

The development process of urbanization has changed the natural factors such as topography, geomorphology, and bit difference, which increases the risk of urban storm flooding in case of extreme weather. The concept of urban resilience can guide urban planning and construction to resist rain and flood disasters and improve urban rain and flood safety resilience capacity. In order to effectively assess the level of urban rain and flood resilience, and effectively tap the key impact factors of resilience, this project takes Bengbu City as an example, and analyzes the urban infrastructure construction, economic and social development, urban ecological environment and hydrological situation of Bengbu City in recent years, constructs a comprehensive assessment model of urban rain and flood resilience, obtains the level of rain and flood safety resilience and key constraints in Bengbu City, and looks for optimization of the management of urban flooding, and find the effective implementation path to optimize the management of urban flooding.
Design and Implementation of Research Incentive Mechanisms in Private Universities based on Performance Assessment
Authors: Gan Qi
Published: December 2023

This study explores the design, implementation, and evaluation of a research incentive mechanism in private universities. Private higher education institutions often face unique challenges in promoting research and innovation due to resource constraints and competition with public counterparts. The research incentive mechanism is designed to enhance research productivity, motivate faculty members, and cultivate a vibrant research culture. The implementation phase includes a pilot program, continuous monitoring, and feedback mechanisms, while assessment methods encompass quantitative and qualitative measures. Challenges are addressed through flexibility and fairness, and lessons learned inform future recommendations. A well-structured incentive mechanism has the potential to transform private universities into centers of research excellence, contributing to academic advancement and innovation.
Exploration of New Digital Marketing Mode under the Background of Web3.0 Technology
Authors: Zhang Yuantian
Published: December 2023

In the present, the digital economy is rising strongly with an irresistible trend, and it has become a key force to reorganize global factor resources, reshape global economic structure and change global competition pattern. As the underlying technical support of various applications of digital economy, Web3.0 is completely different from web1.0 and web2.0, that is, it has a new feature of "being owned" in addition to the readable and writable features of the previous two generations of Internet. The "ownability" mentioned here means that users have the ownership of their own created data. Once users have data assets and can trade freely, it will greatly stimulate their subjective initiative and creativity, thus giving birth to various new digital economic forms. Digital marketing is usually an important starting point for the success of digital transformation of enterprises. In the process of digital transformation, traditional enterprises often regard digital marketing as the first strategy. Digital marketing not only changes the contact mode between users and enterprises, but also can better improve the user experience, drive the upstream and downstream of the supply chain to produce efficient synergy, improve the coverage of sales activities, and effectively cope with retail scenes, optimize the shopping experience of consumers, and build a coordinated logistics system.
Blockchain-based Distributed Financial Trust Evaluation System and Operation Mechanism
Authors: Wu Meng , Sang Nang Anthony Ang
Published: December 2023

The functioning of the present-day financial system relies on the movement of funds and information. DeFi (Decentralized Finance), utilising blockchain technology, possesses the capability to establish autonomous and trustworthy smart contracts that do not require the involvement of intermediaries for escrow and auditing purposes. This results in the creation of a financial system that is characterised by its openness and transparency, devoid of any form of identity-based discrimination, and accessible to all individuals. The utilisation of a private blockchain system facilitates enhanced efficiency, while concurrently ensuring the attainment of privacy and security objectives. Moreover, such a system aligns more closely with prevailing regulatory standards. The Coalition Chain has the characteristic of a scale-free network, with its nodes following a power law distribution. This work aims to investigate credit governance from the standpoint of group behaviour and provide optimisation solutions accordingly.
Intangible Cultural Heritage Boosts Rural Revitalization: Dilemma and Way out
Authors: Wang Jiana
Published: December 2023

The dilemma of intangible cultural heritage has become a short board of rural revitalization, but it can be alleviated by the favorable policies of rural revitalization. The sustainable development of intangible cultural heritage is an important part of rural revitalization and an effective driver of rural revitalization. The two help each other. Huaiji county Qiaotou town provincial intangible cultural heritage Guier Opera popular in the middle of the 20th century, after entering the 21st century Guier Opera facing times change, inheritance, insufficient funding, insufficient publicity, lack of research, in the national protection and development of intangible and rural revitalization of the policy gradually under the good, from three aspects of culture, talent, governance power Qiaotou town rural revitalization. Studies have shown, build a digital information platform for Guier Opera, create forms and contents that are popular with young people, and integrate sound and photoelectric technology into the performance, which can meet the diverse spiritual and cultural needs of the local people and promote the revitalization of rural culture. The government can strengthen the support for Guier opera troupe and the inheritors, and the inheritors can constantly improve their performing arts quality, cooperate between schools and counties, and strengthen the support of talents, which can promote the revitalization of rural talents. By performing and publicizing national policies, laws and regulations, and showing the new look of the countryside, the repertoire can strengthen the villagers' sense of ownership and enhance the ability of rural autonomy.
Research on the Digital Personality Customization and Application of Chinese Fashion Clothing under the Background of Fashion Intelligent Manufacturing and Cultural Integration
Authors: Huang Jinfan , Xu Jue
Published: December 2023

China's national fashion clothing industry is booming, attracting the younger generation of consumers, especially the post-90s and post-00s. One of the driving forces of this trend is the pursuit of personalization and cultural connotation by the new generation of consumers. They seek the expression of spiritual identity and cultural values of clothing, and digital personalization provides them with opportunities to realize these needs. However, the national fashion clothing industry still faces challenges, such as product design homogenization and lack of digital transformation. In order to solve these problems, this paper proposes an innovative path based on fashion and intelligent manufacturing. First of all, by building a library of Chinese elements and patterns, Chinese cultural symbols are integrated into the national fashion clothing design to realize cultural empowerment and personality characteristics. Secondly, through the digital body database, we can improve the fit and quality of personalized customized clothing and meet the needs of consumers for virtual fitting. Finally, through the four-library virtual digital intelligent customization platform, the design efficiency and resource sharing are improved, and the high-quality development of the industry is promoted. These innovative paths will promote China's national fashion clothing industry towards a digital future, improve product personalization and cultural connotation, meet the needs of a new generation of consumers, and promote industrial upgrading and transformation. By emphasizing the key role of the integration of science and culture in the national fashion clothing industry, it provides an innovative way for industrial upgrading and meeting consumer needs.
On the Philosophical Evolution of Marx the Transformation from Old Philosophy to New Materialism
Authors: Yang Min
Published: December 2023

Marx's ideology has undergone two major changes in his life, one is from idealism to materialism, the second is from old philosophy to new materialism, these two changes make Marx's thought experienced a reborn change, but also make philosophy has unprecedented scientific. Among them, in the Theses on Feuerbach, Marx proposed for the first time that the new materialism is practical materialism, and the fundamental difference between the "old" materialism and idealism lies in the understanding of "practice". The new materialism, which takes practice as its philosophical starting point, can be based on the relationship between "transforming and being transformed", thus drawing the conclusion that philosophy, above all, changes the world on the basis of interpretation, and above all, changes the world. Therefore, using the research methods of induction and deduction, this paper expounds the transformation of Marx from the old philosophy to the new materialism.
Study on Environmental Governance Mechanism of Anhui Province under the Goal of "Double Carbon"
Authors: Guo Yuan
Published: December 2023

Based on the "two-carbon" goal, this paper analyzes the challenges and opportunities of energy transformation and green development, as well as the role and influence of environmental governance mechanisms in the process of realizing carbon peaking and carbon neutrality in Anhui Province. This paper mainly discusses the status quo and problems of environmental governance mechanism in Anhui Province in the process of realizing the goal of "dual carbon", as well as its influencing factors and paths, and puts forward policy suggestions for improvement and optimization. This paper uses qualitative analysis method, Anhui Province as a case study, literature review, policy analysis, case analysis and other methods to evaluate and diagnose the environmental governance mechanism in Anhui Province. The research results of this paper can provide reference and reference for the government departments, enterprises and social organizations in Anhui Province, and provide support and guarantee for the environmental governance and the realization of the "double carbon" goal in Anhui Province.
How to Mediate the Healthy and Sustainable Development of Live Streaming Shopping
Authors: Gao Xi
Published: December 2023

At the end of 2019, "COVID-19" pandemic broke out suddenly, which made people's lifestyle change greatly. With the spread of the epidemic, offline activities are limited, and people's shopping style has also changed, move from offline shopping to online shopping suddenly. With consumers' aesthetic exhaustion in the original shopping mall, live streaming shopping, as a new shopping mode, has entered more people's field of vision and was quickly accepted by the public. With the rapid development of Internet technology, live streaming shopping has been developing extremely fast. More and more people are pouring into live streaming shopping, and more and more consumers are gradually recognizing and participating in this new shopping mode. However, how to mediate the healthy and sustainable development of live streaming shopping remains unclear and deserves further investigation. During the research process, the researchers conducted an in-depth paper review. This technique is ideal for estimating how to mediate the healthy and sustainable development of live streaming shopping has been widely employed in many social-science studies on customer behaviors analysis. Research found that the important factor affecting live shopping was consumers' keen on high quality and low-price products. Products with low prices and excellent products attracted most attention. In terms of how to mediate the healthy and sustainable development of live streaming shopping, specific solutions are put forward, manufacturers should provide high-quality products; improve relevant laws and policies; increase supervision on tax paying and livestreamer should strengthen rational guidance to consumers and guide rational consumption, so that livestreaming shopping can develop healthily, stably and orderly.
Impact of Coaches’ Leadership Styles on Sports Performance of Football Athletes in China
Authors: Wu Xinmin
Published: December 2023

Effective leadership is essential in setting a clear vision and goals for a sports organization or team. A strong leader can articulate a compelling vision for the future, inspire team members to work towards a common goal, and develop a roadmap for achieving success. Leadership is the art of guiding, in an organized manner, a diverse group to achieve a common goal. This can be both emotional and rational. An effective leader always knows the strengths and weaknesses of his team as well as being attentive to threats and opportunities of sporting activities. Therefore, the role of the leader in sports is vital.
Suggestions for Applying Digital Technology to Improve Service Quality in Mid to High end Hotels
Authors: Bie Xinyu
Published: December 2023

This article aims to explore how mid to high end hotels can apply digital technology to improve service quality and provide corresponding suggestions. This article analyzes the current development status, challenges, and opportunities of digitalization in mid to high end hotels, elaborates on the necessity and significance of digitalization in mid to high end hotels, studies the influencing factors of customer satisfaction in mid to high end hotels, and finally, based on the SWOT analysis model, proposes suggestions for applying digital technology to improve service quality in mid to high end hotels, including strengthening digital talent cultivation, optimizing digital service processes Innovate digital service experience and ensure digital service security.
THE FREQUENCY OF VSR (VENTRICULAR SEPTAL RUPTURE) AFTER ACUTE STEMI ST-ELEVATION MYOCARDIAL INFARCTION IN TERTIARY CARE HOSPITAL
Authors: RAHIM A , ALI J , SAJJAD W , BILAL A , REHMAN SU , JAN DA , ULLAH R
Published: December 2023

The purpose of the study was to find out how frequently ventricular septal rupture occurred in patients who had an acute ST-elevation myocardial infarction and then visited the cardiology department of Lady Reading Hospital in Peshawar. The cross-sectional design was employed in the investigation, which took place between April 6, 2018, and April 12, 2018. A thorough history and standard physical examination were performed on 346 patients while under observation. Baseline tests such as transthoracic echocardiography and electrocardiography were carried out to evaluate ventricular septal rupture. Records included age, gender, type of STEMI, diabetes mellitus, smoking, history of CAD, and prodromal angina. The study's findings indicated that the patients' mean age was 53, with a standard deviation of ±11.23. Of the patients, 32% were female and 68% were male. Furthermore, ventricular septal rupture was present in 5% of the patients but not 95%. Thus, the study concludes that 5% of cases of ventricular septal rupture followed an acute ST-elevation myocardial infarction.
PRECLIINICAL SUB-ACUTE ORAL TOXICITY STUDY FOR ANTI-INFLAMMATORY EVALUATION OF METHANOL EXTRACT OF CUCURBITA PEPO L. SEEDS
Authors: SHEHZAD A , SALEEM U , GULZAR F , AHMED FN , ANWER R , SHAHAD M , KOUSAR S , ZAHID F , ZAHID S
Published: December 2023

: Cucurbita pepo, a plant known for its traditional use in managing various ailments, contains valuable phytoconstituents and nutritional components. Aim: This study aimed to assess the sub-acute toxicity of the methanol extract of C. pepo (MECP) seeds according to OECD 407 guidelines. Rats were orally administered MECP at 250, 500, and 1000 mg/kg doses for twenty-eight days. Throughout the study period, the animals were closely monitored for any signs of toxicity, and at the end, blood samples were collected for biochemical and hematological analyses. Histopathological examination was performed on vital organs after euthanizing the rats. The results demonstrated that MECP administration significantly increased body and organ weight in the treated rats. However, food and water intake remained unchanged, and no mortality was observed. Biochemical and hematological analyses revealed no significant changes in the treated groups compared to the control group, except for a notable decrease in red blood cells, suggesting potential anemic effects of MECP. Histopathological examination showed no structural alterations in the liver, heart, and kidney. Based on these findings, it can be concluded that C. pepo is safe for use and holds the potential for therapeutic efficacy.
Strategic Resource Allocation in Project Management: A Data-Driven Framework
Authors:   American University in the Emirates, Dubai, UAE, .. Abedallah Z. ,   American University in the Emirates, Dubai, UAE, Almajed Rasha
Published: December 2023

Effective project management relies on smart resource allocation strategies that navigate the complexities, in project dynamics. However, it is important to consider factors when choosing projects for a portfolio and allocating resources to that portfolio. In this paper, we present a data-driven framework for strategic resource allocation in project management. By using the Fuzzy TOPSIS method this framework combines evaluations into a model improving decision-making accuracy. Our study identifies ten factors that contribute to project complexity and transforms opinions into fuzzy numbers to evaluate project performance. When we applied this framework to five projects, we gained insights into how they align with established criteria resulting in nuanced rankings based on calculated closeness coefficients. This research lays the foundation for resource allocation strategies by advocating for the integration of dynamic data sources and advanced analytical techniques. The goal is to enhance adaptability and facilitate implementation, within project management paradigms.
Embracing the Challenges and Opportunities of Financial Management in an AI-Dominated Business Environment
Authors:   Professor, Dept. of ECE, and Dean R&D, St. Martin's Engineering College, Secunderabad, Telangana, India, Kumar Suman Sanjay
Published: December 2023

In this work, we describe an adaptive financial management strategy, tailor-made to meet the demands of, and capitalize on, an economy ruled by AI. The suggested solution combines three essential algorithms: LSTM-based machine learning for economic forecasting; SHAP-based explainable AI for openness in decision-making; and blockchain technology with proof-of-work (PoW) security. This LSTM-based method handles the sequential data often seen in time series analysis, which is crucial for effective financial forecasting. It is particularly effective at identifying complex interrelationships in financial time series data, providing a solid basis for reliable forecasting. By giving each feature in a prediction model an equal amount of weight, the SHAP algorithm improves the openness of decisions. The experimental results confirm the superiority of the suggested technique over the conventional methods. It uses dynamic Machine Learning models, in particular LSTM networks, to provide more precise economic forecasts than static models based on averages. Using SHAP, explainable AI solves the problem of interpretability that plagues conventional techniques, allowing for more open deliberation. The combination of Blockchain with PoW gives better security, overcoming the risks of centralized systems employed in previous approaches. The suggested adaptive strategy provides a comprehensive and robust framework for managing finances in a world controlled by artificial intelligence.
A Study on Interval Valued Temporal Neutrosophic Fuzzy Sets
Authors:   Department of Mathematics, Government Arts and Science College for Women, Krishnagiri, Tamil Nadu – 635 108, India., Rajesh K. ,   Department of Computer Engineering, Mcts Rajiv Gandhi Institute of Technology, Andheri West, Mumbai – 400053, India.,   Department of Information Technology, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai – 400706, India.,   Department of Artificial Intelligence and Machine Learning, DJ Sanghvi College of Engineering, Mumbai – 400056, India.,   Department of Mathematics, Mount Carmel College (Autonomous), Bengaluru-560052, Karnataka, India,   Department of Mathematics, Silapathar College, Dhemaji, Assam – 787059, India.,   Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, Delhi -110063, India.,   Department of Mathematics, Arul Anandar College (Autonomous), Karumathur-625514, Tamil Nadu, India., Rathod Sharmila , Kundale Jyoti , Rathod Nilesh , Anand M. Clement Joe , Saikia Utpal , Tiwari Mohit , Martin Nivetha
Published: December 2023

In this research, we introduce the Interval Valued Temporal Neutrosophic Fuzzy Sets (IVTNFS) and some of its basic operations. Also, examine some of their properties. The Neutrosophic Fuzzy Sets of membership and non-membership values are not always possible up to our satisfaction, but the IVTNFS part has a more important role here, because the time movement with an interval in NFS gave the best solution to making a decision, deciding their careers in our real-life situation.
An Improved K-Means Clustering Process Solicitation for Mine Blood Donors Information
Authors:   University of the Witwatersrand Johannesburg, South Africa, .. Anil  Audumbar ,   Assistant Professor in Pune Institute of Computer Technology Pune, India,   Assistant Professor, Department of AI and Big data, Woosong University, Daejeon, South Korea,   Associate Engineer, TSYS Global Payments, Pune, India,   University of Prince Edward Island, Canada,   Department of Computer Engineering, Vishwakarma Institute of Technology, Pune, India, Pise Ganesh Shivaji , .. Saurabh , .. Hemachandran. , Imuede Jude , Shinde Sandip
Published: December 2023

The exponential rise in accidents and the introduction of new, supposedly trendy ways of living have contributed to the dire need for the needy to have an organ or blood transfusion. Circumstances refer to a circumstance where proper care should be taken when collecting the necessary blood or original parts for transfusion, typically in dire circumstances. To determine the distance at which the interested and qualified donors are located, a thorough investigation must be conducted. People are often first categorized according to their blood type, eligibility, and region. Following that, people group together according to locality. A healthy person can safely donate blood twice within 56 days, as this is the minimal time between successful donations that has been established as a norm. The decision to donate an organ is often made after careful consideration of the severity of the situation, the donor's health, and the health of the recipient. Knowledge data finding tasks can be made easier with the help of KEEL, an open-source programme. The graphs that are produced show clearly how the proposed algorithm varies from the standard K-means method. Therefore, it will be quite useful in the present day and could end up saving lots of lives. The necessity to decide ahead of time on the total number of groups is just one of the issues with the K-means clustering method. In practise, it is difficult to anticipate the precise number of clusters. When the number of clusters is small, incongruous clustering is more common, but when the number of clusters is large, like clustering is more common. Thanks to a method called Active Cluster with Modified k-means clustering, which finds the right number of clusters on the fly, the issue is now resolved
Securing the Future of Digital Marketing through Advanced Cybersecurity Approaches and Consumer Data Protection Privacy and Regulatory Compliance
Authors:   Professor and Head, Dept. of ECE, Rajalakshmi Engineering College, Chennai, TN, India, Bhagyalakshmi L.
Published: December 2023

The SecureDigitalGuard framework gets recognition for its all-encompassing strategy, which combines strict consumer data protection laws with state-of-the-art security safeguards with ease. This all-encompassing approach is designed to guarantee the longevity of digital marketing in the face of constantly changing cyberthreats. This cutting-edge system is based on three key strategies: the Behavioural Threat Detection (BTD) algorithm, the Adaptive Access Control (AAC) algorithm, and the Homomorphic Privacy Guard (HPG) programme. The vital task of dynamically controlling user access levels in response to continuing risk evaluations is taken on by the AAC algorithm. This dynamic control technique improves the framework's capacity to adjust to constantly shifting security circumstances. However, the BTD algorithm is proactive in spotting abnormalities in user behaviour, allowing for quick reactions to any dangers. The SecureDigitalGuard architecture gains an additional degree of protection from this preventive method. In addition, the HPG programme is responsible for doing analytics while maintaining user privacy. This careful approach shows a dedication to finding a fine balance between user protection and data analysis, making sure the framework complies with the strictest privacy regulations. Test results provide empirical evidence that SecureDigitalGuard is effective and that it can keep up with the dynamic and often changing nature of cyber threats. As a result, the architecture makes traditional cybersecurity techniques outdated. In an increasingly complex and dynamic cybersecurity world, SecureDigitalGuard provides a strong solution for protecting digital marketing through the seamless integration of state-of-the-art technology and strict adherence to privacy regulations.