bluuebunny/crossref_metadata_2025 huggingface dataset:
Influência da armadura longitudinal na confiabilidade de colunas curtas circulares existentes em CA confinadas com PRFC sob flexo-compressão
Authors: Quadros Peterson Araújo , Vieira Raphael Nonato Cabana , Diniz Sofia Maria Carrato
Published: July 2024

O confinamento de colunas circulares em concreto armado (CA) utilizando polímero reforçado com fibras de carbono (PRFC) é uma técnica que vem sendo amplamente utilizada no reforço de colunas existentes. A escolha dessa técnica na recuperação/reforço de tais elementos é justificada pela alta eficiência do sistema e facilidade de execução, dentre outras vantagens. Nesse contexto, o desenvolvimento de normas técnicas para o reforço de colunas de CA confinadas por PRF (CA-PRF) se faz necessário. Essas normas devem seguir um arcabouço similar àquele associado ao projeto de novas estruturas, a partir de métodos semi-probabilísticos. Uma etapa importante no desenvolvimento desse arcabouço é a avaliação dos níveis de segurança obtidos a partir das recomendações normativas propostas. Neste estudo, os níveis de segurança de colunas curtas de CA-PRFC sob flexo-compressão, reforçadas de acordo com as diretrizes do ACI 440.2R (2017), são obtidos. A simulação de Monte Carlo é empregada na descrição probabilística da resistência das colunas e no cálculo da probabilidade de falha. Um modelo tensão-deformação para colunas em CA-PRFC é utilizado, considerando explicitamente a presença das armaduras transversais. Especial atenção é dada aos efeitos da taxa de armadura longitudinal nos índices de confiabilidade obtidos. Os índices de confiabilidade encontrados estão na faixa 2,95 a 4,38, indicando a necessidade de precauções no dimensionamento de colunas CA-PRFC para a combinação de parâmetros que conduzem aos menores níveis de confiabilidade. Os resultados da pesquisa aqui apresentada contribuem para o desenvolvimento de normas técnicas relacionadas à reabilitação de estruturas de CA existentes.
Dynamics of Sea Lamprey Populations in Marine and Lake Environments: An Analysis of Sex Ratio Impacts and Predatory Behavior
Authors: Wang Dongjie , Guo Yu , Dai Zean
Published: July 2024

Understanding the population dynamics of lamprey under the influence of human activities and environmental changes is essential for ecosystem balance and biodiversity conservation. In this paper, a lamprey population dynamics model is constructed. Besides, changes in lamprey populations in different ecosystems and the impacts of lamprey on different ecosystems are explored. Specifically, after analyzing the intraspecific stage structure, the Lotka-Volterra predation model is introduced, and then the lamprey population dynamics model of lamprey is obtained. Moreover, a valuation index system for ecosystems is constructed. Subsequently, the Runge-Kutta method is cited to perform differential equation numerical solutions. The simulation results show that in marine ecosystems, the lamprey population will fluctuate initially and gradually reach stability. However, when in lake ecosystems with high food availability, the lamprey population will first decrease and then increase over a short period. In contrast, when the food availability of the lake ecosystems is low, the lamprey population decreases but does not tend to zero.
Research Progress of Image Generation Methods Based on Deep Learning
Authors: Zhang Senwei
Published: July 2024

This paper provides an overview of deep learning-based image generation methods and image style migration techniques. The focus is on text-to-image generation, unconditional and conditional image generation methods, and various approaches for image style migration. The review covers the underlying models, including Generative Adversarial Networks (GAN), Variational Autoencoders (VAE), and diffusion models, while also discussing conditional image generation methods such as Conditional Generative Adversarial Networks (CGAN) and Stacked Generative Adversarial Network (StackGAN). Furthermore, it explores deep learning-based image style migration methods, including both image iteration-based and model iteration-based approaches. The possibilities and opportunities for the advancement and use of these techniques in the field of picture production are highlighted in the review's conclusion.
Definition and Measurement of Enterprise Digital Transformation
Authors: Ou Xiaoqin
Published: July 2024

In recent years, with the continuous progress of science and technology such as the Internet, big data, cloud computing, and blockchain, and the rapid development of society, the digital transformation of enterprises has become one of the research fields that scholars at home and abroad focus on. This paper distinguishes and analyzes the related elements of digital transformation, such as digitization, digitization, informatization, and intelligence, and further expounds the characteristics of digital transformation and the main digital technologies that constitute digital transformation. At the same time, the measurement methods of enterprise digital transformation at this stage are classified and discussed, and it is found that the annual report text analysis method is a more reasonable method to measure the degree of enterprise digital transformation. The results of this paper have important theoretical and practical significance for promoting the digital transformation process of enterprises.
Comparative Analysis of Traditional Sensors and Machine Learning-Enhanced Sensors: Innovations and Implications
Authors: Feng Qianli , Long Zeyu
Published: July 2024

This review delves into the increasingly intertwined realms of machine learning and sensor technology, particularly spotlighting their convergence in medical and related fields. The recent upsurge in recognition of computer technology, in tandem with rapid strides in hardware, has catapulted machine learning to the forefront of innovation. Sensor technology, while a more mature field, continues to evolve, solidifying its crucial role in medical and biological research. The paper offers a comprehensive examination of existing sensor technologies, focusing on how their integration with machine learning not only overcomes traditional limitations but also significantly boosts their capabilities. This symbiosis enhances data accuracy, interpretation, and utility, paving the way for groundbreaking applications in diagnostics, monitoring, and treatment. However, despite these advancements, the fusion of machine learning with sensor technology is not without challenges. Issues such as data privacy, algorithmic bias, and the need for extensive training datasets are among the critical concerns that need addressing. Looking forward, the review contemplates potential future directions, including the development of more sophisticated algorithms, improved sensor accuracy, and the integration of these technologies into more personalized and accessible healthcare solutions. The convergence of machine learning and sensor technology, while still in its early stages, holds vast potential for transforming medical practices and fostering broader scientific discovery.
Preface: 3rd International Conference on Food Engineering, Nutriology and Biological Chemistry (FENBC 2024)
Authors: Penn Arlen , Jiang Kai
Published: July 2024

2024 3rd International Conference on Food Engineering, Nutriology and Biological Chemistry (FENBC 2024) has been successfully held during June 29-30, 2024, in Wellington, New Zealand. FENBC 2024 mainly focuses on food engineering, nutrition, agricultural biotechnology, diet, public health, and biological chemistry, aiming at providing a platform for experts, scholars, engineers, and technical researchers. The major audiences of the proceedings include academic staff and scholars at universities and research institutes, researchers and developers in the R&D departments of companies.
Our attendees are delighted to share scientific research achievements and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research, and promote cooperation in industrialization of academic achievements. Experts, scholars, business people, and other relevant personnel from universities and research institutions are cordially invited to attend and exchange.
During the FENBC 2024 conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 10-15 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-40 minutes to hold their speeches.
FENBC 2024 Scientific Committee
Wellington, New Zealand
Study on the Mechanisms Influencing the Intention to Teach of Current Students in Ministry Teachers' Universities
Authors: He Zhaoying
Published: July 2024

In recent years, China's Ministry of Education and other departments have issued policy documents related to teacher education that put forward systematic and comprehensive requirements for the training of pre-service teachers, whose willingness to teach determines the stability of the teaching force. As ministerial teachers' colleges bear the major task of training pre-service teachers, the study of the deep-rooted mechanism behind the desire to teach plays an important role in teacher education. Aiming at the reality that some students of ministerial teacher training universities have poor willingness to teach, an empirical study was conducted to explore the mechanisms influencing the willingness of students of ministerial teacher training universities to teach. The study found that, firstly, the results of the survey show that the overall willingness to teach of the students of the Ministry of Teacher Training University is higher than that of the students of the Ministry of Teacher Training University. Intrinsic value, personal value and social value affect the willingness to teach of the students of the Ministry of Teacher Training University to different degrees, and the effects of intrinsic value and social value are positive, while the effect of personal value is negative. The marginal effect of social value on the willingness to teach of the students of the Ministry Teachers' University is more significant than that of intrinsic value. Secondly, there were varying degrees of influence of student category, grade level, parental expectations of teaching, policy knowledge, and policy agreement. Thirdly, the marginal effect of the social value motivation on willingness to teach was greatest for students at the disadvantageous level of willingness to teach. For students with a moderately low level of willingness to teach, the marginal effects of the three types of motivation to teach were not significantly different. The effect of social value and intrinsic value motivation to teach on the willingness to teach of the students in the ministry's teacher training universities is greater for those students who have a medium to high level of willingness to teach. The marginal effect of intrinsically valued motivation to teach on willingness to teach was greatest for school students with intermediate to high levels of willingness to teach. In the future, it is recommended that the ministry's teacher training universities should focus their efforts on four areas: strengthening policy publicity and supervision to stimulate teacher trainees' motivation to teach; strengthening teachers' commitment to educating people to deepen the foundation of vocational conviction education; and strengthening the willingness of teacher trainees to teach by linking up with their families and schools to provide all-round support for the cultivation of future teacher trainees. The second classroom is the cornerstone of teacher trainees' willingness to teach.
Sports activities and sports mental toughness of college students in selected universities in China
Authors: Hu Yushan , Espeso Dr.Lorna.A.
Published: July 2024

The study aimed to gain insights into the level of participation in sports activities and sports mental toughness of college students in five different institutions. The profile of the student respondents shows a nearly equal distribution of male and female respondents, with a slightly higher number of female respondents. This indicates a diverse representation of both genders in the study, allowing for a comprehensive understanding of the research. When analyzing college students' involvement in sports and their level of sports mental toughness, the results showed that the respondents engaged in a variety of physical exercise types, reflecting their diverse interests and preferences. Notably, aerobic training, kung fu martial arts, and team sports emerged as the most popular activities among the respondents. Moreover, the analysis of sports habits revealed that a significant portion of the respondents allocated time for sports activities multiple times a week.
Deep Learning-Based Crohn's Disease Prediction: A Comprehensive Examination and Future Perspectives
Authors: Li Zhong
Published: July 2024

This study explores deep learning's (DL) role in enhancing Crohn's Disease (CD) diagnosis and treatment, aiming to overcome current diagnostic challenges and improve patient outcomes through more accurate, efficient, and personalized medical interventions. This comprehensive review scrutinized a plethora of studies focusing on the utilization of machine learning (ML) and DL methodologies for diagnosing CD. The investigation spanned various Artificial Intelligence (AI) techniques. This endeavor aimed to illustrate the transformation from traditional ML methods, which necessitate labor-intensive data preprocessing and expert analysis, to DL approaches that autonomously decipher intricate patterns from voluminous datasets. Special attention was accorded to research that leveraged these technologies for distinguishing CD from ulcerative colitis (UC), anticipating disease complications, and pinpointing diagnostic markers. This review elucidates the progression from traditional machine learning techniques, requiring substantial data preparation and expert knowledge, to deep learning algorithms capable of learning directly from raw data. This shift promises to automate and refine the diagnostic process significantly. An examination of various studies showcased how AI applications in CD diagnosis are evolving, underscoring the potential of these technologies to transform the diagnostic landscape by enhancing accuracy, reducing time, and paving the way for personalized treatment strategies. The integration of AI in CD diagnosis has shown significant promise, with DL and ML models achieving higher diagnostic accuracy and efficiency compared to traditional methods.
Uav Photogrammetry and Digital 3D Product Production Technology Design
Authors: Pang Qinshu
Published: July 2024

The use of drone photogrammetry to produce 3D digital products is a rapidly developing technical field in recent years. The technology can use the high-definition camera carried by the UAV for aerial photography, and process the aerial images through image processing software to generate high-precision digital elevation model, digital ortho map and digital line map, which provides strong support for urban planning, land resource management, environmental monitoring, cultural heritage protection and other fields.
Research on Seismic Response Analysis of High Pier Cable-stayed Bridges
Authors: Ji Jiaming
Published: July 2024

In mountainous areas with complex terrain, high pier cable-stayed Bridges are often used. The pier height and stiffness of the high-pier structure vary greatly, and the earthquake response and failure mode are different. Therefore, the earthquake will have a negative effect on the high pier cable-stayed bridge. This paper firstly introduces the seismic response of cable-stayed Bridges with high pier, including seismic analysis methods and dynamic characteristics analysis. Then, taking Wangheng Beipanjiang Bridge as an example, the seismic response of high pier cable-stayed bridge is studied in detail. The influence of earthquake on bridge pier, bridge span, cross bar and cable is analyzed, and the seismic response and safety measures are further analyzed. Through response spectrum analysis, it is found that earthquake affects the vertical and vertical response of high pier cable-stayed bridges, and the use of oil dampers can significantly reduce this effect. This paper can be an effective reference for seismic response analysis and aseismic research of high pier cable-stayed Bridges.
An Exploration of Curriculum Reform in 'E-commerce Theory and Practice' based on Innovation and Practice
Authors: Li Yuxuan , Ye Chun
Published: July 2024

In the context of the increasingly popular "integration of specialization and entrepreneurship" teaching model, it is worth exploring how to better establish the foundational curriculum for the "E-commerce Theory and Practice"course, strengthen the practice-oriented educational approach, and meet the needs of small and medium-sized enterprises (SMEs) in entrepreneurship and management. This paper carries out a comprehensive exploration from the aspects of teaching content, implementation plan, assessment and evaluation system. By aligning with the characteristics of the discipline, optimizing teaching content, and integrating educational resources, the course aims to use project-based innovation as a key approach to comprehensive curriculum reform. It helps to enhance students' ability to transfer and apply discipline-related knowledge and improves the overall effectiveness of the teaching process.
Roles and Responsibilities of Coaches Towards Their Players in a Physical Education Institution in Wuhan China: Basis for Coaches Training Program
Authors: Chen Guanghui
Published: July 2024

This dissertation proposal explores the roles and responsibilities of coaches towards their players at the Wuhan Institute of Physical Education, aiming to develop a comprehensive training program for team sports coaches. The study examines key dimensions of coaching, including goal clarification, team situation assessment, option realization, and action planning. Additionally, it evaluates the responsibilities of coaches in ensuring a safe environment, proper athlete matching, supervision, collaboration with parents, and emergency care provision. Utilizing a descriptive-comparative research design, data were collected from 156 coaches and selected athletes through questionnaires and structured interviews. Findings indicate that while coaches generally perform well in goal clarification and action planning, there are areas needing improvement, such as maintaining a safe environment and supporting athletes' professional development. The study highlights the importance of continuous education and standardized practices in coaching to enhance overall effectiveness. Based on the findings, a training program is proposed to address identified gaps, promoting better communication, safety, and strategic planning among coaches. This research underscores the critical role of coaches in athlete development and provides practical recommendations for improving coaching practices in physical education institutions.
Luxury Brand Marketing Strategy - Taking Chanel as an Example
Authors: Xu Miao
Published: July 2024

As consumers pursue quality and personalization, brand marketing strategies play a decisive role in the development of enterprises. In today's fiercely competitive business environment, it is particularly important to study marketing cases for the Chanel brand. However, there is currently relatively little in-depth analysis of the specific strategies and effects of Chanel brand marketing, and there is a research gap. This study will combine direct and indirect methods to deeply analyze Chanel's marketing methods, including advertising, product positioning, channel selection, etc. Through comparative research and case analysis, reveal the key factors for its success. Research has found that Chanel has successfully shaped a high-end and elegant brand image through precise market positioning, unique creative design, and multi-channel marketing strategies. Its unique brand story and cultural connotations have also attracted many loyal fans. In short, the success of Chanel brand marketing lies in its meticulous market positioning, innovative and diverse marketing strategies, and deeply rooted brand culture. This comprehensive approach ensures that Chanel maintains its position as a leading luxury brand in the global market while still being attractive to consumers. By understanding and analyzing Chanel's marketing practices, companies can gain valuable insights on how to effectively position and promote their own brands in today's fiercely competitive market.
A Visual Analysis of GenAI’s Impact on Economic Development from a Risk Perspective - Booster or Spoiler
Authors: Dong Yi
Published: July 2024

Cultivating new quality productive forces is the focus of the 20th National Congress of the Communist Party of China, representing the evolution direction of the advanced productive forces, and the qualitative state of the advanced productive forces that is born from the revolutionary breakthroughs in technology, the innovative allocation of production factors, and the in-depth transformation and upgrading of industries. In this direction, Generative Artificial Intelligence (GenAI) has undoubtedly achieved a subversive transformation of the world's science and technology. Many scholars have focused on the exploration of artificial intelligence (AI) in medical care, law, industrial development and even people's well-being. However, because of the difficulty of measurement, collection and analysis, economic development is often mentioned the least, but it has the closest relationship with human beings. Therefore, this paper compares the literature of AI with the development process of GenAI, and analyzes the selection and fitting of measurement indices such as economic development, AI coverage rate and business potential. The conclusion is that GenAI still has its disadvantages and defects, but it also has great overall benefits to China’s economy, and thus promoting the growth of China’s economy.
Memristor In Non-Volatile Memory Technology and Computer Architecture
Authors: Zheng Minghao
Published: July 2024

The memristor is the fourth passive basic electronic component after resistance, inductance, and capacitor. Traditional storage technology is progressively encountering more and more difficulties as information technology advances at the rate predicted by Moore's Law, including issues with power consumption, read and write speeds, storage capacity, and other issues. Memristor is a novel non-volatile memory technology that offers a wide range of potential applications and significant research value. It is now a strong rival to next-generation memory technology. This article provides an overview of the memristor's operating principle, presents its current state of application based on available research, and goes into great depth on the state of nonvolatile memory research. Lastly, a summary and outlook for the memristor's future development are provided. Memristors are predicted to surpass Moore's Law's constraints in the future, advance the advancement of storage technology, and provide ground-breaking assistance in the creation of computer architecture and new technologies.
Research Progresses of Plant Polysaccharides with α-Glucosidase Inhibition activities
Authors: Yang Ziyi
Published: July 2024

Diabetes has become one of the major diseases threatening human health, and has become the main economic burden of the public health system. Alpha-glucosidase inhibitors are the first choice for the treatment of type II diabetes. However, the widely used AGI in clinical practice often has varying degrees of side effects. Plant polysaccharide is a kind of active substance that widely exists in plants and has great potential to alleviate diabetes. Screening of plant polysaccharides with hypoglycemic effects has attracted much attention due to efficient health care ability and good biocompatibility. This article focused on plant polysaccharides with α-glucosidase inhibitory activity, systematically elaborated on the hypoglycemic effect of plant polysaccharides, and provided a detailed review on the effects of extraction and purification methods on the physicochemical properties of plant polysaccharides and the activity of α-glucosidase inhibitors, as well as the researches on improving the AGI inhibitory abilities of plant polysaccharides through modification. This article aims to provide reference for the research and development of novel plant-based α-glucosidase inhibitors.
Research of Wearable Piezoresistive Pressure Sensors
Authors: Sun Yuxuan
Published: July 2024

Wearable flexible sensors, as a product with huge potential, have attracted wide attention. In the commercial sector, various smart wearable devices products such as iWatch eagerly welcome the addition of new features, presenting great business prospects. In the medical field, new detection methods are needed for detailed monitoring of patients around the clock. This article roughly introduces the research results on the materials required for wearable flexible sensors, focusing on carbon-based materials and also mentioning sensors made from other materials. Overall, current research on this type of sensor still faces practical application challenges, particularly in the inability of materials to meet multiple key indicators required for practical use. The challenge lies in balancing. This makes the development of this sensor promising but still in the early stages of research and development. The ongoing research and development are poised to bridge this gap, heralding a new era of seamless and smart health monitoring solutions.
The Impact of Online Video and Tennis Sports App on Teaching and Learning Tennis Toward Digital Curriculum Design for Tennis Coaches
Authors: Huang Ze , DR. RIZAL O. DAPAT
Published: July 2024

This research assesses the influence of video and tennis sports apps on the teaching and development of tennis abilities among participants from three institutions in Wuhan. The study investigates the demographic attributes of the participants, such as gender, years of tennis experience, length of exposure to video and tennis applications, and tennis player classification. The examination centers on instructing both the substance and methodology and the learning facets, including skill refinement, knowledge augmentation, mental resilience, and motivation. The results suggest that most participants are male, have been engaged in tennis for 3-5 years, have used video and tennis applications for 1-2 years, and are mainly pursuing physical education as their major. An evaluation of the influence of these digital tools on tennis instruction yielded a moderate effect without any notable variances depending on demographic characteristics. Similarly, the impact on acquiring tennis skills was likewise assessed as moderate, with similar outcomes across several groups. Additionally, a mild to moderate positive association was observed between the influence of video and tennis sports applications on the instruction and acquisition of tennis skills. These applications boost learning outcomes by facilitating advances in instruction. The research suggests creating a thorough digital curriculum for tennis coaches that emphasizes improving the quality of information, promoting motivation, and integrating modules for mental toughness and strategic training.
Investigation on fetal civil capacity- from the perspective of Article 16 of the Civil Code
Authors: Zhao Shiyu
Published: July 2024

The Protection of Fetal Interest is reflected in Article 16 of China's Civil Code through an enumerated form, which endows the fetus with certain legal capacity and rights. At the same time, the scope of fetal legal capacity and rights is expanded by using the word "and" to include material personality rights and damage compensation claims, etc. In addition, a but clause is established to restrict the legal capacity and rights of the fetus. This article takes Article 16 of China's Civil Code as the perspective, discusses the related issues of fetal legal capacity and rights. By defining the legal concept of the fetus, combining relevant theoretical research, exploring the legal nature and scope of fetal civil rights and obligations, in order to better protect the interests of the fetus.
Digital Economy Empowering the Role and Pathway to Common Prosperity
Authors: Zhang Hanyue , Duan XiangLei
Published: July 2024

The 20th National Congress of the Communist Party of China proposed that achieving common prosperity for all people is an essential requirement of Chinese-style modernization. This provides us with principles to understand the position and role of common prosperity in advancing the overall process of Chinese-style modernization, as well as a more solid foundation for promoting common prosperity for all people in the new era. The pace of pursuing common prosperity has become more determined and powerful. The primary advantage of the digital economy is its enabling effect, effectively promoting industrial upgrading and consumption synergies, continuously optimizing economic and social structures, and experiencing rapid development momentum in recent years. Empowering high-quality development through the digital economy serves as the foundation for achieving common prosperity. The digital economy promotes the enhancement of social production efficiency, facilitates the transformation of market behaviors, contributes to fiscal re-efficiency, and promotes balanced development to reduce regional disparities. Applying technologies such as big data and artificial intelligence in production, distribution, exchange, and consumption can stimulate organizational changes and institutional innovations in economic activities, which is of great significance for promoting common prosperity. Under the socialist system with Chinese characteristics, the digital economy has triple advantages in politics, systems, and governance in empowering common prosperity. The main pathways to achieve common prosperity through the digital economy include comprehensively regulating the supervision of the digital economy, promoting the improvement of public service quality and efficiency, and improving the employment security system to encourage innovation and entrepreneurship.
Research on Indoor Localization Method based on Deep Learning and Wireless Sensing
Authors: Deng Yong , Li Chuanhao
Published: July 2024

Aiming at the problems of indoor localization accuracy due to scale difference and noise interference in wireless sensing, a deep learning indoor localization architecture for wireless sensing is proposed. Firstly, iBeacon devices are arranged in the localization area to collect location fingerprints, and then stacked autoencoder (SAE) is introduced to effectively capture the depth features of the data to improve the robustness of the subsequent localization model. To further enhance the global temporal sensing capability of the model, a bidirectional long short-term memory network (BiLSTM) is introduced for location prediction. The experimental results show that the algorithm achieves higher positioning accuracy and better generalization performance than the traditional indoor localization methods.
Global Trade Policies and Their Impact on Marketing in The Digital Age
Authors: Wang Hansheng
Published: July 2024

With electronic commerce and digital services gradually becoming an important part of international trade, the rapid development of digital technologies has led to significant changes in market structures and business models. The article first outlines the salient features of the digital economy, including the widespread use of big data, cloud computing and artificial intelligence. The article then explores the impact of trade policies on product pricing, firm profitability and market diversity, as well as the way digital technologies are changing marketing strategies. Thanks to big data and artificial intelligence, companies are better able to anticipate customer needs and develop appropriate marketing plans. In addition, through digital transformation, business marketing and services can be seamlessly integrated to improve user experience and service efficiency. Finally, the article outlines the difficulties that firms face in the era of digital marketing and proposes creative solutions. In the digital economy, companies must adapt to changes in international trade rules, use digital technologies to improve marketing efficiency and effectiveness, and pursue innovation for sustainable growth.
Research on the Impact of Video Game Characteristics on Russian Consumers Purchase Intention
Authors: Aleksandr Novozhenin
Published: July 2024

There are currently over 65 million people in the Russian Federation who regularly play video games of any type and on any platform. About half of them fall into the category of "paying" gamers - those who buy games or pay for in-game content, which industry analysts view as an indicator of emerging markets. As it becomes increasingly difficult for developers to compete in the video game market, it is increasingly important for publishers and video game developers to understand why consumers play and buy games. A major challenge for the gaming industry is figuring out which features of a game can grab consumers' attention and influence their intent to purchase games. The purpose of this study is to examine which characteristics of video games can affect the game participation of Russian single player gamers and consumers' willingness to purchase games, and to make suggestions for single player game developers and publishers. A survey was conducted among 492 Russian single player game players; the research results were obtained through reliability analysis, correlation analysis and linear regression analysis. The results of this study show that the game features such as control functions, reward and punishment features have a significant positive impact on flow and purchase intention, and flow has a significant positive impact on purchase intention. This research contributes to the development of a video game features theory of video games by determining the extent to which consumers' emotional responses and behaviors are directly affected by videogame structural features and game engagement. In order to expand the sales of single player video games, game developers and publishers need to focus on the interactivity and game balance.
Selecting The Best Customer for A Plan to Reduce Wildlife Trade Based on A Comprehensive Evaluation Model
Authors: Xu Fan , Wang Qian , Yin Feiyang , Xiao Minghao
Published: July 2024

In order to reduce the negative impact of illegal wildlife trade on ecology and socio-economic development, this article proposes a plan called "Wildlife Trade Trap: Five Year Strategic Plan", which covers key areas such as policy, publicity, education, economic development, and international cooperation. This article constructs a comprehensive evaluation model based on Analytic Hierarchy Process (AHP), which allocates indicators such as publicity, education, fundraising, and social impact according to weights. The report provides a comprehensive analysis of the strengths of WWF, Traffic, UN Environment, and IUCN in reducing the illegal wildlife trade. The results show that IUCN is the best customer for executing projects.
Design of Front Desk in Electronic Mall
Authors: Ding Yunzheng
Published: July 2024

The main purpose of business website design is generally to achieve the interconnection of enterprise products and services through website promotion, and to keep customers informed of the company and the latest product information provided by the company at any time. At the same time, it also provides customers with timely online services and order processing functions. The online shopping system mainly provides online shopping services centered on displaying and ordering laptops and related IT products. It is a platform for establishing more direct communication and exchange between enterprise products and customer service; Promoting one's own product is one of the main purposes for enterprises to go online; Present your products to customers, allowing them to freely choose and purchase the company's products through the website.
Review of Research on Feature Extraction Algorithms for Finger Vein Images
Authors: Guo Shuai , Zhou Guangshao , Chen Zhibo
Published: July 2024

With the development of social informatization, biometric identification has become the key technology of modern information security. Finger vein recognition has become a hot spot of current research due to its advantages such as high security and living body recognition. Finger vein feature extraction is the key link in the finger vein recognition process, which is crucial to the overall performance of the recognition system. This paper firstly introduces the finger vein recognition system and organizes and summarizes the public datasets; then, with deep learning as the boundary, it classifies and researches the applications of vein feature extraction in recent years, and combs and analyzes the feature extraction algorithms that are the focus of each category; secondly, it summarizes the evaluation indexes in the field of finger vein recognition; and finally, it sums up the status quo of the finger vein feature extraction and the challenges it faces.
How to Improve Supply Chain Information Management with Artificial Intelligence
Authors: Hou Yutong
Published: July 2024

This paper discusses how to make full use of artificial intelligence technology to improve supply chain information management, through the application of data analysis and forecasting, intelligent warehousing and inventory management, and intelligent transport and logistics, to achieve accurate monitoring and efficient management of supply chain segments, and at the same time, in-depth study of the support of artificial intelligence in supply chain decision-making, including intelligent decision-making system, risk management, and real-time feedback and adjustment capabilities to improve the accuracy and flexibility of supply chain decision-making.
Employee Retention Intention Study Based on the Relationship Analysis of Leadership Appreciation Expression, Labour Climate, and Family Support Rate
Authors: Liu Xuejie , Zhang Yingying , Qian Zhiyi
Published: July 2024

The purpose of this study is to investigate the effects of leadership appreciation expression, labour climate and family support rate on employee retention intention. In the context of socio-economic development and rapid development of science and technology information, the issue of employee retention has received more and more attention from enterprises. The departure of core employees causes large losses to enterprises, especially after the epidemic, the innovation of enterprise management mode is particularly important. This paper constructs a theoretical model and analyses the relationship between the above three factors and employee retention intention through literature research and survey method. The study found that there is a significant positive correlation between leaders' expression of gratitude, labour climate and family support and employees' intention to stay in the job. This suggests that leaders' expressions of appreciation can enhance employees' organizational commitment and increase retention intentions; positive labour climate and family support can enhance employees' job satisfaction and increase the likelihood of retention. This study suggests that companies should emphasise leadership training, strengthen data governance and ethical codes, redesign employee development paths, and formulate forward-looking laws and policies. Through these measures, employees' work experience can be enhanced and loyalty to the organization can be strengthened, thus enhancing employee retention intentions and achieving long-term stable development of the enterprise. The findings of this study have important theoretical and practical implications for human resource management practice, providing organisations with strategies and recommendations to enhance employee retention intentions.
The Effects of the COVID-19 Pandemic on Exports and Imports Values from China: Evidence from Time Series Model
Authors: Wei Meng
Published: July 2024

The COVID-19 pandemic, which began in late 2019, caused significant disruptions in global economy, affecting commercial operations globally. China, a key factor in global commerce, encountered substantial obstacles due to disruptions in supply chains, a sharp decline in demand, and the implementation of containment measures. Using time series analytic methodologies such as the Autoregressive Moving Average (ARMA) models, this study presents an exhaustive analysis of the influence that the COVID-19 pandemic has had on the values of China's imports and exports. This research sheds light on the subtle dynamics of China's commercial environment in the middle of the pandemic by conducting a comprehensive examination of data spanning from January 1, 2010, to December 1, 2023. This paper highlights China's import and export volumes were significantly impacted by the COVID-19 pandemic, especially noticeable during the early phase of the crisis. The decrease in import quantities in April and May 2020 highlights the many economic impacts of the epidemic on business, highlighting the pivotal role of supply chains in facilitating economic recovery. Policymakers must prioritize supply network resilience and implement targeted policies like employment subsidies and job training to mitigate the unemployment effects of pandemic-induced economic downturns and reduced import volumes, promoting economic recovery and stability after crises.
Friedrich List's Protectionism: A Theoretical and Applied Evaluation
Authors: Song Zhihan , Huang Weiwen
Published: July 2024

Friedrich List, through works such as "The National System of Political Economy," "The Natural System of Political Economy," and "Outlines of American Political Economy," proposed a relatively complete system of protectionist trade thought. He also practiced his economic theories through entities like the German Customs Union. Although List's economic theories are not prominently featured in academia due to their protectionist nature, many scholars have studied them from various angles. Based on the study of List's protectionist economic theory, this paper summarizes the research findings on List's economic thoughts and, combined with the practical application of his theories, conducts a dialectical analysis of the contemporary significance of the theories.
The Effect of Economic on Relative Deprivation——The Mediating Effect of Sense of Social Fairness
Authors: Zhang Yiqing
Published: July 2024

China is in the critical period of economic transformation currently, but high-speed economic development may widen the class gap and trigger social inequality, which in turn will have a negative impact on social mentality of residents. Relative deprivation is considered as a negative social mentality and an important factor affecting social harmony and stability. Academic research between economic development and social mentality is relatively abundant, but there is a lack of research on relative deprivation. In order to fill the gap, this article examines the impact of regional economic development levels on relative deprivation and the mediating effect played by the sense of social fairness based on the data from the Chinese Social Survey (2021). The study found that the level of regional economic development has a significant negative impact on relative deprivation, and the sense of social fairness mediates between them. Therefore, a higher level of regional economic development can directly alleviate residents’ relative deprivation, and can also alleviate residents’ relative deprivation by improving their sense of social fairness.
Enterprise Ownership, Corporate Governance, and Enterprise Innovation: Empirical Evidence from Listed Companies in Shanghai and Shenzhen A-Share Markets
Authors: Gong Qi
Published: July 2024

This paper takes listed companies in the Shanghai and Shenzhen A-share markets from 2008 to 2018 as samples and examines the interaction mechanism between enterprise ownership, corporate governance, and enterprise innovation based on the panel data fixed-effects regression model. The study reveals the following findings: (1) The higher the level of corporate governance, the higher the level of enterprise innovation, indicating that an improvement in corporate governance significantly enhances enterprise innovation. (2) Further regression analysis of interaction terms reveals that the nature of property rights inhibits the positive impact of corporate governance on enterprise innovation, implying that for private enterprises, the role of corporate governance in promoting enterprise innovation is more pronounced. This paper, for the first time, examines the impact of enterprise ownership and corporate governance levels on enterprise innovation from an interactive perspective, enriching the literature on corporate governance and contributing to a comprehensive understanding of how to enhance enterprise innovation from the dimension of corporate governance.
The Impact of ESG Performance on Corporate’s Financial Performance: Evidence from China’s Automobile Manufacturing Industry
Authors: Chen Ruoting
Published: July 2024

Corporate’s environmental, social, and governance (ESG) ratings, as an emerging indicator of corporate’s ESG performance, have attracted the attention of many investors and institutions. Therefore, many companies are actively enhancing their ESG performance to show their fulfillment of social responsibility. However, corporates invest their money on improving ESG performance instead of necessary expenditures. Does the investment worth it? This paper takes three important companies in China's automobile manufacturing industry as examples, lists the companies' ESG performance from multiple aspects, and collects sufficient financial indicators to reflect corporate’s financial performance. Result shows that the increase in corporate ESG performance will lead to a decline in overall corporate performance in the short term, but it will have a positive effect on the long-term financial performance of the corporation. Companies which aim for improving ESG performance will gain the recognition of investors and benefit the long-term growth of the corporation, for it is a correct understanding and practicing of social responsibility. This conclusion can be extended to China's automobile manufacturing industry and provide an example for other companies in the industry.
Analysis Of Marketing Strategy of Age Z Luxury Group ----- Take Louis Vuitton as An Example
Authors: Liu Xinyang
Published: July 2024

The theme of this thesis is luxury marketing. The analysis mainly takes Louis Vuitton as a case. It includes the analysis of the marketing strategy of Louis Vuitton, the brief analysis of the marketing strategy of Louis Vuitton and other luxury brands. And the successful marketing of other luxury brands for Louis Vuitton or the luxury industry. Using the method of literature review. The authors found that: Luxury brands that want to develop actively need to focus on implementing sustainable development and eco-friendly fashion. The implementation of sustainable development can also expand the consumer market for the brand. The use of network marketing in the Z era is divided into two aspects. The first is the combination of Internet science and technology and brand. The second is the brand promotion of the Internet platform. This is very important for any brand. In the era of Z, more and more consumers pay attention to the connotation of brand cultural value; Brands can choose co-branded objects in high-value areas if they want to get greater exposure when doing joint activities. Brands should always be ready to meet challenges.