bluuebunny/crossref_metadata_2025 huggingface dataset:
Influencing Factors and Models of the Millennial Generation’s Willingness to Use Smart TV
Authors: Qin Yuxin
Published: June 2024

With young people becoming the main purchase force in the smart TV industry, their user experience of smart TV is highly valued. However, the use rate and preference of the youth for TV are low at present. What is the reason for their pessimistic willingness to use TV? Focusing on the influencing factors of the millennial generation’s willingness to use a smart TV, this paper theoretically based on the technology acceptance model (TAM) and advertisement avoidance model introduces the free mindset, constructs the model, and puts forward research hypotheses, so as to analyze this phenomenon from the perspectives of communication, behavioral science, and social psychology. It is shown that perceived usefulness, perceived ease of use, perceived goal impediment, and perceived advertising clutter are important independent variables that affect millennial willingness to use the smart TV. Consistent with previous research conclusions, perceived usefulness still acts as a key intermediary variable in the TAM model. In addition, the study also found that the free mindset has a significantly positive impact on the willingness to use, but there is no moderating effect in this model.
Income Status, Perceived Equity of Income Distribution and Political Participation
Authors: Luo Zhiyu
Published: June 2024

Popular political participation is an essential aspect of political modernization. Existing studies have focused on institutional political participation, such as voting in elections, and have primarily explained political participation from objective perspectives, such as income status. However, there has been some neglect of non-institutional political participation. In studies affecting political participation, subjective perceptions of the equity of income distribution and their interaction with income have yet to receive sufficient attention. Based on this, this paper uses data from the fourth round (2014-2016) of the 2016 Asian Barometer (ABS) survey to analyze the impact of income status and perceived equity of income distribution on political participation and the mechanisms of their effects through multiple regressions. The results indicate that income and perceived equity of income distribution have a positive effect on institutional political participation; in terms of impact mechanisms, income status and perceived equity of income distribution affect institutionalized political participation by influencing government satisfaction and political trust; subjective perceptions of equity of income distribution influence institutional political participation behavior more than income inequality; the paper concludes by applying social capital theory to explain the finding that income status and perceived income distribution equity are positively associated with non-institutionalized political participation in terms of the participant path and the dominant path.
Study on the Influence of Tourism Short Video on Young People's Consumption Behavior and Countermeasures
Authors: Wang Yexi
Published: June 2024

Under the background of informationization, social media plays a leading role in the application of Internet technology, especially the emergence of various live broadcast platforms, which has accelerated the economic change in online celebrity. With the integration and development of cultural tourism industry, more and more short tourism videos have enriched the content of short videos and promoted the development of tourism culture and industry. Tourism short videos have changed the way of information bearing and information dissemination, and the consumption habits of tourists have gradually changed under the influence of short videos. How to help young people correctly grasp consumption behavior has become a hot issue in society. As a special group, college students pursue fashion trends and are very interested in new things. At the same time, they are in the stage of ideological development. Under the influence of many factors such as keeping up with the trend, this brand-new economic phenomenon will have a great impact on college students' traditional consumption behavior and shopping methods. Taking online celebrity Fangqi kiki as an example, this paper analyzes the influence of short travel video on young people's consumption behavior and discusses its coping strategies.
Analysis of the Coordinated Development Relationship between Town Land Use Efficiency and Economic Growth
Authors: Li Jie
Published: June 2024

Land is the material basis for human survival and development, the means of labor for social production, and the source of all production and existence. The utilization status of land resources can affect economic growth, which in turn changes the utilization status of land resources. The regional difference pattern of town land use efficiency is objective and unbalanced, which not only affects the industrial base of cities, but also affects the economic growth of areas with low land use efficiency. When analyzing the influence of land elements on urban economic growth, we should not only consider the promotion ability of scale expansion, but also consider whether the use of construction land is effective. Scientific technology and management methods can be used to rationally distribute the land use structure in space, and the effective use of land can be increased by improving the efficiency of land use. This article analyzes the harmonious growth relationship between town land use efficiency and economic growth, and points out that each city should find a land use mode that adapts to its own characteristics to promote local economic growth.
The development of ecological smart cities in the post-epidemic era
Authors: Yi Jiaxin
Published: June 2024

With the accelerated development of globalization and urbanization, the advent of the post-epidemic era means that the world has begun to enter the recovery stage, and the rapid development of urbanization has caused cities to transform from a decentralized model to a centralized model. The growing population puts cities under tremendous pressure. This paper studies the case of Barcelona, analyzes and summarizes the development of Barcelona's ecological smart city, as well as the practical application of information technology and Internet of Things technology, and discusses the challenges faced by smart cities. The concept of ecological smart city consists of the Internet, openness, intelligence, innovation and green to form an urban planning framework. Lay out smart sensors according to the size and shape of urban space, and use smart technology to activate the city's ecosystem. The digitalization and IoT technology services of smart cities are not only conducive to the tracking and prevention of the epidemic, but also conducive to the recovery and development of the city in the post-epidemic era. Smart cities represent the development of a city that is more efficient, sustainable, and livable. The development trend of smart cities is characterized by the integration of advanced technologies to improve the quality of life of urban residents, improve sustainability, and optimize city operations.  Finally, it provides some suggestions and experiences for the development of smart cities in the world and expectations for the future of this field of research.
Navigating Insurance Challenges: A Decision Tree Model for Insurance Pricing and Risk Strategy
Authors: Fu Dongling , Hong Qianran , Xu Xuechun
Published: June 2024

Amid escalating natural disasters intensified by climate change, accurately assessing risks and determining insurance rates in disaster-prone areas present significant challenges to the insurance industry, impacting the underwriting decisions and strategies correspondingly. This article employs a frequency-loss degree framework to quantify meteorological disaster risk as the Annual Average Loss (AAL), which was classified into three categories (severe, moderate, and mild) further. Utilizing a Poisson Distribution to process extreme event data and integrating it with data from typical years into a comprehensive prediction model, this approach facilitates enhanced risk assessment and premium estimation. A decision tree model was further established to explore insurance institution’s underwriting decisions and risk strategies on the basis of monetary benefits and mental utility respectively, highlighted by case studies in Australia and the Philippines. The findings underscore the necessity for insurers to incorporate advanced decision-making tools taking utility factors into account, to navigate the complexities of risk and pricing in vulnerable areas efficiently. A tendency was observed among insurers to prefer conservative strategies in medium-risk areas, like the Philippines, over aggressive underwriting in high-risk zones, such as Western Australia. This suggests further research into expanding the model's applicability and delving into the evolving influence of climate change on the insurance industry.
Artistic design of virtual reality content of leather handicraft samples
Authors: Li Xinyi
Published: June 2024

With the continuous development of science and technology, virtual reality technology has been widely used in various industries. In the leather handicraft industry, virtual reality technology has also begun to be applied to product design and sales. This article takes the artistic design of virtual reality content of leather handicraft samples as the theme, and analyzes, discusses and explores its application from the professional perspective of the industry.
Remote Work Evolution: Contrasting Realities in China and US
Authors: Ding Xiaowen
Published: June 2024

The COVID-19 pandemic has posed significant challenges to industries, increasing the uncertainty and dynamics of operations. In this context, digital transformation becomes a core approach for organizations to address challenges. The purpose of this article is to investigate how the COVID-19 pandemic has affected remote work in China and the United States, compare the disparities in telework between the two nations, and evaluate the implementation of remote work during and after the pandemic. Digital transformation has become the cornerstone of long-term organizational competitiveness and sustainability, increasing an organization's agility, innovation potential, and internal collaboration efficiency. There are cultural, regulatory, and technological infrastructure differences between China and the United States when it comes to remote work practices. In the early days of the epidemic, companies in both countries quickly promoted remote working due to policy support, industry culture, and digital infrastructure. After the epidemic, Chinese companies resumed traditional offline office models, while the United States was more inclined to support remote work. In the future, China's office model may develop towards a hybrid work model, emphasizing digital transformation to support remote work. This article recommends that companies adopt flexible working systems, strengthen employee skills training, and build on a culture of trust. In terms of outlook, hybrid working models will attract high-quality employees and require the exploration of new management methods to adapt to remote working models.
Wong Kar-wai's Film Aesthetics: An Analysis of Chungking Express from the Perspective of Film Studies
Authors: Wei Juntong
Published: June 2024

Chungking Express is a strong stroke in Hong Kong films, whether it is the choice of characters, the deep meaning of the shooting technique, the suspenseful metaphor or the subtle and rich emotion, all make this film bring a unique look and feel to the audience. Since its release in the 90s of the 20th centuries, Chungking Express has received wide attention in society and film academia and has also triggered a boom in appreciation and analysis by many audiences and critics. The external characteristics and internal significance of the film are still worth studying and reading in the 21st century. This paper will explore the narrative characteristics, color and composition of the Chungking Express in the film. Emotional and gender elements and other dimensions analyze Wong Kar-wai's early style and the charm of Hong Kong films' works in their heyday, analyze the practical application of Wong Kar-wai's film aesthetics and the distinctive vitality of some Hong Kong films under the influence of regional and contemporary backgrounds, and draw on their reference significance for films in the new era, based on the present, look to the future, learn from the experience of predecessors, tap the potential of new film elements, and help high-quality films to achieve great progress and development.
Research on the Impact of the Digital Economy on International Trade Barriers and Its Countermeasures
Authors: Sun Weihua
Published: June 2024

The rapid development of the digital economy has not only changed traditional business models and trade patterns, promoting trade facilitation, but has also to some extent reduced international trade barriers, providing unprecedented opportunities for enterprises worldwide, especially small and medium-sized enterprises, to expand into international markets. In the era of the digital economy, the modes and patterns of international trade are undergoing profound changes. The high efficiency and universality of information transmission, as one of the core features of the digital economy, not only significantly reduce trade costs but also break the limitations of traditional trade models, laying a solid foundation for the extensive expansion of international trade. However, with the rapid rise of digital trade, new digital barriers are also emerging, which are impacting the international trade landscape. A comprehensive analysis of the role of the digital economy in reducing international trade barriers and the opportunities and challenges it brings is of great significance for understanding and grasping the current trends in global trade development.
Study on the Participation of Social Enterprises in Community Home-based Elderly Care Services
Authors: Wang Yixin , Zhu Kaijing , Yang Heliu
Published: June 2024

With the further aggravation of the aging problem in China, different types of senior care services are showing a trend of integration and development, and the model of community-based home care services is being widely adopted in China, and social enterprises can become one of the important main bodies involved in the provision of community-based home care services due to their advantages in specialization and personalization. However, the current development of social enterprises in China still has certain problems in obtaining legal status, enhancing credibility and improving operational efficiency. Therefore, it is necessary to solve the development dilemma of social enterprises in the intervention of community-based elderly care services by increasing government support, improving the level of business operation and strengthening publicity and promotion, so as to enhance the blood-forming ability of the enterprises themselves and further optimize the market of elderly care services in China.
Design of Glider Wing Shape and Research on its Aerodynamic Characteristics
Authors: Wang Ruiwen Kelvin
Published: June 2024

The glider is a type of aircraft without a power device, which relies on airflow to obtain forward power and has important application value in environmental detection, rescue, and other scenarios. The wing shape of a glider is one of the biggest factors affecting its gliding performance. However, the quantitative mechanism by which specific airfoil parameters affect gliding performance is still unclear. This paper dives into the field of aerodynamics and analyzes which airfoil performs the best in realistic situations. Unlike traditional methods in which the only way to analyze such a foil is through rigorous testing in a wind tube, this paper uses two ways, both through simulation and idealized calculation to determine the best airfoil. The results demonstrate that the lift-to-drag ratio characteristics of NACA 4424 and NACA 4415 are better than those of NACA 64A210 and NACA 2412, but there is a certain difference between the simulation results and theoretical results, which may be related to the accumulated errors in the simulation and data processing processes. This study helps to enhance the understanding of the impact of different airfoil parameters on their aerodynamic performance, providing a reference for the optimization design of airfoils.
Design theory for vibration characterisation experiments on real turbine blades with underplatform damper
Authors: Zou Lijian , Qi Wenkai
Published: June 2024

One of the main causes of turbine rotor blade failures is high-frequency fatigue caused by blade resonance, and the vibration of turbine blades can be effectively suppressed through the reasonable design of dry friction damping structure. In order to understand the vibration characteristics of the blade-disc system and to check whether the damping effect meets the technical specifications, it is necessary to design and carry out dry friction damping blade vibration characteristics experiment. This paper takes a certain type of underplatform damped turbine blade in production as an example, and briefly describes the design idea and design process of such blade vibration characteristic experiments under the premise of the experiment blade structure, material and other physical parameters.
Health Insurance Annual Premium Forecast Analysis
Authors: Chen Siwen
Published: June 2024

This study focuses on predicting an important socioeconomic indicator: health insurance costs and provides an in-depth exploration of the impact of multiple factors on insurance costs. The data used in the study comes from a representative health insurance company, and its data individuals include indicators of multiple dimensions, such as the age, gender, body fat percentage, family size of the insured, as well as whether they have smoking habits and the specific region where they are located. and other information. In order to accurately reveal the impact of these factors on insurance premiums, we adopted a machine learning model, the Lasso regression model, for modeling and prediction, supplemented by the calculation of correlation coefficients to quantify the strength of the relationship between these factors and insurance premiums. After in-depth exploration and analysis, the research results show that among all factors considered, age, body fat percentage and whether you smoke have a significant impact. It is particularly noteworthy that the factor of smoking has the most significant impact on insurance costs. In addition, the study also revealed that women and insured persons living in the southeast region tend to choose higher premiums. These research results not only have a certain enlightenment effect on theoretical research, but also have significant reference value for the practice of the insurance industry. It can help insurance companies more accurately identify and evaluate potential risks, and set more scientific and reasonable insurance rates accordingly.
Exploration and Practice of Question-based Teaching Method in University Digital Logic Course
Authors: Tana
Published: June 2024

This paper mainly discusses the application of question-based teaching method in digital logic course of university. By raising questions related to the course content before class, this method guides students to think and explore independently, aiming to improve students' learning initiative and promote knowledge in-depth understanding and long-term memory. The results show that the question-based teaching method can effectively improve students' learning effect and interest, and provide useful practical experience for the teaching reform of digital logic course.
A Study on the Application of Alexander Technique in Chinese Piano Pieces —— Take “Pinghu Autumn Moon” as an Example
Authors: Zheng Wei
Published: June 2024

The Alexander Technique is a scientifically recognized method that is widely used worldwide. In the field of piano playing, this technique enables individuals to comprehend their own body structure and movement characteristics, thereby correcting playing problems and bottlenecks caused by long-term incorrect movement habits. Numerous scholars have researched this topic. However, the author aims to begin with existing works to uncover principles and methods that can be applied to specific cases and effectively guide and advance Chinese piano music.
Style Exploration of Porcelain During Qianlong Dynasty: Tributed by Superintendents of the Jingdezhen Imperial Kiln
Authors: Zhang Xiruo
Published: June 2024

During the Qianlong period of the Qing dynasty, successive superintendents of the Imperial kiln organized craftsmen to pay tribute to the Qianlong Emperor on important festivals of the year, such as the Dragon Boat Festival, birthday of the emperor and queen mother, and the New Year's Festival, etc. At different stages of the Qianlong period, the styles of tribute porcelain were not always the same. The formation of the style of official tribute porcelain was attributed to various factors like economics, politics, and culture. Superintendents of the Jingdezhen imperial kiln during the Qianlong Dynasty also made extraordinary efforts to cater to the preferences of the emperor. To explore the style changes of tribute porcelain during the Qianlong Dynasty, this paper illustrates the characteristics of tribute porcelain in three different phases and the factors of tribute porcelain’s innovation and development, indicating that the changes in various aspects cannot be separated from the development of society and emperor’s personal preference. For the study of Chinese ceramics’ history, it is of great significance to explore the style of tribute porcelain in the Qianlong period.
Potential Habitat Prediction of Invasive Species Flaveria Bidentis in China Based on ArcGIS and MAXENT
Authors: Liang Xuanwei
Published: June 2024

The flaveria bidentis, an alien invasive plant that poses a threat to ecological stability and agricultural output, has invaded China since the early 1990s and may have the potential to spread further. An accurate assessment of its potential spread can provide a basis for early warning and prevention. The flaveria bidentis's probable habitat in China under present ecological circumstances was predicted via a maxent model that was constructed based on dispersal data and environmental factors. The result showed that the suitable habitat of the flaveria bidentis is currently widely distributed in China, making up around 3.98% of China's total land area, having a total size of about 381,795km2. The Jackknife method showed that the main factors that affected the distribution of the flaveria bidentis were the precipitation seasonality and the minimum temperature of the most frigid month. The model's AUC was 0.987, which means the precision of the forecast was quite high. The flaveria bidentis will continue to spread, therefore the pertinent departments ought to pay particular scrutiny and react promptly to set up protective measures in place.
Power Supply Unit Planning of Distribution Network Including Energy Storage based on N-1 Criterion
Authors: Zhang Zhan , Yang Jin
Published: June 2024

In order to realize effective load transfer in medium voltage distribution network when N-1 fault occurs, a method of power supply unit division is proposed. Firstly, according to the content and characteristics of grid planning of distribution network, the principle of power supply unit division is proposed. Then, based on the grid planning of distribution network, the method of power supply unit division is established. Finally, the calculation results show that the division of power supply units based on the power supply grid and energy storage planning improves the line connection rate, meets the N-1 safety check, and improves the safety and reliability of the medium-voltage distribution network.
Post Utilization of the Venues of the 31st World University Summer Games
Authors: Li Shaoyin
Published: June 2024

This study explores the post-game utilization of venues at the 31st Summer Universiade and assesses respondents’ satisfaction with venue services. The study found that although large-scale sports events such as the Summer Universiade are held in China, the issue of venue utilization after the games has become an urgent problem that needs to be solved. Although a lot of manpower and material resources have been invested in the construction of modern sports venues, they often only focus on the requirements during the event and ignore the operation and utilization of the venues after the game. In this context, through a survey and analysis of 278 respondents, this study found that venue infrastructure and recreational and leisure facilities scored higher, but other aspects such as venue facilities, accessibility, service personnel, catering services, etc. scored lower Low. Respondent satisfaction is positively correlated with gender, but not significantly correlated with other demographic characteristics such as age, education, occupation, etc. In social services, product appearance is positively evaluated, but functionality and reliability are not. Finally, the study found that only reliability and transportation accessibility were positively related to satisfaction, emphasizing the important impact of transportation on venue reliability. In summary, this study provides important reference value for solving the post-match utilization issues of large-scale sports event venues. It is recommended that while improving service levels and facility quality, strengthen the function and reliability of social services and pay attention to transportation accessibility, to improve the satisfaction of using the venue after the game.
Countermeasures for Distributed Photovoltaic Grid Integration Problems and Exploration of Relay Protection Methods
Authors: Li Minglei , Li Tianruiqi
Published: June 2024

Photovoltaic power generation technology is progressing and developing in modern society. It also causes some problems in keeping the electrical grid safe to operate. In this paper, the impact of distributed photovoltaic power generation on the low-voltage power grid during the grid connection is analyzed, and related countermeasures for relay protection are proposed. This paper examines the effects of electricity quality on the power grid and suggests prioritizing access to low-voltage energy to prevent negative consequences. Distributed photovoltaic power generation systems after being grid-connected may appear to be the phenomenon of the islanding effect. In addition to the aforementioned issues, connecting large-scale distributed PV to the power grid can significantly impact its operation, hence requiring that the PV power generation system's relay protection configuration conform to the power grid standards. Low-voltage grid connection does not mean complete safety; high-frequency modulation of inverters may cause harmonic problems, and unstable generating capacity during cloudy and rainy weather can affect grid operation and electricity quality. The paper analyzes the causes of electricity quality and islanding effect and proposes countermeasures for the corresponding problems. In terms of relay protection, the article proposes solutions including the addition of protective components and enhanced information exchange between the grid and distributed PV. The research findings enhance distributed PV power generation system's reliability and grid operation stability by offering valuable guidance and reference for future research and practice.
Research on Biosensor Technology in Wearable Health Monitoring Equipment
Authors: Wang Jiaen
Published: June 2024

In recent years, innovative and well-researched smart devices utilizing wearable biosensor systems for health monitoring have attracted much attention from society. These health monitoring devices, equipped with various transmission modules and miniature physiological sensors, are anticipated to alleviate the escalating healthcare expenses in the post-pandemic era by offering real-time, precise physiological information and persistent health status monitoring. Additionally, such health monitoring devices can provide tailored health advice and preventive measures for healthcare providers, potentially transforming the future of healthcare. Hence, their impact spans a broad and enduring spectrum in our daily lives. This paper aims to provide a comprehensive review of current technologies used for health monitoring and current trends, developments, and research in wearable biosensor systems for health monitoring. The focus is especially on the technical design of multiparameter physiological sensing systems and the challenges they face. Also, it discusses the ethical and data protection issues associated with these wearable biosensor systems. Finally, future research directions and perspectives on wearable biosensor devices are analyzed. Moreover, this paper serves as a resource for researchers and developers in this field, providing directions for future research advancements.
Application of SOM-GAN based deep learning technology in the security protection of rural bank depositors' funds information
Authors: Wu Wenjia , Han Minglei , Hu Yandong , Ma Jiaqi , Zhang Xiaolei
Published: June 2024

Since the reform and opening up, the status of China's banking industry has been significantly improved, and the traditional banking industry has gradually cross-integrated with Internet technology [1], which has become an important support for national economic development and a core component of the financial system. For example, in the original physical bank and online bank, new Internet financial models have been expanded, such as online financial management, bank electronic accounts, mobile banking, P2P models, third-party payment platforms, crowdfunding, etc. [2]. However, in the period of rapid development of the transformation and upgrading of traditional banks facilitated by information technology, many problems have emerged, such as the relaxation of supervision, the lag of policies and regulations, and the difficulty of reasonable protection of private data, etc. These problems may affect the interests of depositors and even the state. For example, in 2022, China's Henan rural bank 40 billion event, this event involved about 400,000 depositors, and platforms such as Du Xiaoman and Xiaomi Finance have related cooperation with these rural banks. Therefore, reasonable security protection of depositors' fund information and information processing and encryption under certain deep learning technology have long become the focus of experts' research in information technology. For example, Tian Gengwen has conducted an in-depth discussion on customer information security in the digital transformation of banks [3]. For example, Yang Wanrong conducted an in-depth study on the path and measures of data security governance of small and medium-sized banks [4]. For example, Zhang Wenli, Peng Xiaolei et al have made an in-depth elaboration on the bank data security solution [5]. Following hot issues closely, this paper provides a method of deep learning technology based on SOM-GAN in the security protection of rural bank depositors' funds information, aiming to combine the advantages of self-organizing mapping neural network and generative adantagonistic network unsupervised learning. At the same time, it can complement the competition mode of self-organized neural network, generate the discriminant characteristics of adversarial network and generate real data to process and review the relevant data of the fund information security of rural bank depositors, ensure the fund management security of rural bank depositors, and realize the monitoring and analysis of their funds and the surrounding environment when depositors are storing funds. Thus, the security, confidentiality, authenticity and integrity of depositors' funds information are guaranteed, and hidden dangers such as theft of depositors' funds, loss of depositors' personal information and threats to depositors' personal information security brought about by the 40bn deposit red code incident of Henan Bank in 2022 are eliminated.
Harnessing Regression Analysis and Machine Learning to Unveil the Market Dynamics and Environmental Impact of New Energy Vehicles
Authors: Yue Mingda
Published: June 2024

This study leverages regression analysis and machine learning algorithms to systematically investigate the growth patterns of the global New Energy Vehicle (NEV) market, evaluate the effects of international policy frameworks on NEVs, and quantify the environmental advantages of NEVs in urban settings. Through the analysis of worldwide market data, case studies on international policies, and urban air quality metrics, this research delineates the pivotal contributions of NEVs to mitigating urban pollution and advancing environmental sustainability. The findings provide empirical evidence and strategic recommendations for policymakers, the automotive industry, and environmental organizations, aimed at promoting the sustainable development of the global NEV market.
Study on the Improvement of China's Carbon Emission Trading System under the Goal of "Double Carbon".
Authors: Chen Jiajing
Published: June 2024

September 2020, China announced to the world that it would achieve carbon peak by 2030 and carbon neutrality by 2060, and since then, China has formally stepped into the "dual-carbon" era. Against the background of the "dual-carbon" goal, carbon emissions trading is facing major adjustments in system functions, development goals, development stages, implementation levels, trading rules, scarcity creation, and safeguard mechanisms, as well as major opportunities for market-based development. In this regard, China not only needs to reform and improve the carbon trading system on the basis of the original immature carbon trading system, but also needs to cover more subjects to participate in the carbon emissions trading market, to achieve emission reduction, pollution reduction and synergistic governance through the market mechanism, and to grasp the key opportunity to transform the carbon market from a "policy market" to a "commodity market". The carbon market from "policy market" to "commodity market" to grasp the key opportunity to change, to achieve carbon trading energy saving and emission reduction benefits significantly enhance.
The Analysis of The Impossible Triangle in Hydrogen Production Technologies
Authors: Hu Jiawei
Published: June 2024

In the current global context, the transformation of the world's energy structure is of utmost importance. Hydrogen energy, being a zero-carbon source, serves as a crucial catalyst for achieving green and low-carbon transition. Despite China being the largest producer of hydrogen energy worldwide, it still heavily relies on coal-based energy systems and consumption patterns. It is essential to acknowledge that an inherent attribute of any single form of energy is its impossibility to fulfill all three aspects simultaneously: economy, cleanliness, and security. By delving into the theoretical connotation of this "energy impossible triangle" and considering factors such as energy security, economic viability, and environmental sustainability associated with various hydrogen production methods; we can analyze a feasible pathway for transforming China's hydrogen energy structure. This transformation necessitates gradually integrating advantages from existing coal-based systems while tailoring production structures according to local conditions. The development of hydrogen energy should be guided by both resource allocation capabilities and actual demand for sustainable growth. Additionally, establishing a comprehensive energy system will greatly facilitate the transition toward more efficient hydrogen production structures.
Research on trade quantity prediction on ARIMA and Long Short-Term Memory Networks
Authors: Guo Zihao , Yang Yuhan , Wu Xinxiong , Zheng Zhiyong , Liu Weiqi
Published: June 2024

In the face of the enormous threat that illegal wildlife trade poses to global ecology and biodiversity. In this paper, two prediction models, ARIMA and LSTM, are used for comparative experiments. By analyzing the data of global illegal wildlife trade from 1995 to 2021, two prediction models, ARIMA and LSTM, are established to obtain the prediction results of global illegal wildlife trade from 2022 to 2029 respectively. The experimental results show that both the ARIMA prediction model and the LSTM prediction model show an upward trend in the prediction of the amount of illegal wildlife trade. Especially noteworthy is that the prediction results of the LSTM model show a more obvious upward trend and larger prediction values compared with the ARIMA model. The projections tell us the grim story of the illegal wildlife trade. If we do not take urgent and effective interventions, the scale of the illegal wildlife trade will continue to show a worrying trend and could rise further. This not only poses a serious threat to global biodiversity, but also has potential negative impacts on ecological balance, economic and social stability. These projections can effectively guide efforts to reduce the amount of illegal wildlife trade.
A Feasibility Study of microwave respiration monitoring by off-body sensor
Authors: Xu Yufei
Published: June 2024

This paper primarily discusses the feasibility of utilizing microwave for monitoring the deflated and inflated states of the lungs during respiration, as well as investigating the influence of system parameters related to off-body sensor. According to the body feature parameter of humans, a two-dimensional model of the human thorax cross-section is constructed. Nine sensors were arranged in the front of the thorax cavity in the form of a line. The frequencies of 433MHz and 915MHz are adopted and each antenna works as transmitter in turn while the other antennas serve as receivers. Preliminary results evaluate the feasibility of monitoring respiration with off-body sensors. At the same time, we used the off-body sensors to explore the influence of each parameter on microwave respiration detection under different frequencies of microwaves by changing the system parameters.
Extracurricular Physical Activity and Social Integration Among Students in A Government University in Zhaoqing, China
Authors: Zhou You
Published: June 2024

Extracurricular physical exercise can not only promote students' physical and mental health development, but also have a positive impact on society. This study identified the relationship between extracurricular sports activities and social integration among college students at a public university in Zhaoqing, China. In collecting the required data, the researchers used questionnaires. The results showed that students enjoyed the extra-curricular sports activities offered by the school. In terms of gender, male college students have a stronger sense of social integration than female college students. Students find themselves highly socially connected in the university community, building meaningful relationships with their peers and gaining a sense of belonging. The study found that students can actively build social connections and integrate into the university community by actively participating in various extracurricular sports activities. On this basis, this study proposes different activities that can be provided to enable students to continuously progress and develop. Actively listen to students' opinions and develop students' enthusiasm for participation. At the same time, rewards and recognition are provided for students who actively participate in extracurricular activities. To expand opportunities and resources for students, so that students more love extra-curricular sports activities.
The new situation and optimization strategy of China's power grid management system
Authors: Liao Jianhui
Published: June 2024

The system mechanism of power grid management is an important institutional basis to support the development of electric power industry, and has always been an important controversial issue in China's electric power system reform. Based on the current situation of China's power grid management system, this paper analyzes the new situation, analyzes the main problems, and finally, based on the background of new power system construction, systematically puts forward the overall thinking and specific strategies of China's power grid management system optimization.
Numerical Study on Aerodynamic Characteristics of Wings of Passenger Aircraft under High Subsonic Conditions
Authors: Wang Xiao
Published: June 2024

In aerospace engineering, optimizing aerodynamic efficiency under high subsonic flight conditions is paramount. Traditional airfoil research and design methodologies have exhibited limitations, particularly in their efficacy at speeds approaching high subsonic speed, where drag reduction and lift enhancement become critical for performance optimization. These conventional approaches often fall short of addressing the nuanced aerodynamic challenges presented by high subsonic regimes. Addressing these limitations, the present research adopts a computational fluid dynamics (CFD) approach, utilizing ANSYS Fluent 2024 R1 to conduct a detailed numerical analysis of the NACA 0012 airfoil's performance. The study leverages Reynolds-averaged Navier-Stokes (RANS) equations to explore the aerodynamic characteristics of the airfoil, focusing on lift and drag behaviors and flow separation under various flight conditions. Therefore, this methodological framework enables a comprehensive evaluation of the airfoil’s aerodynamic efficiency in high subsonic flight. The findings reveal significant insights into the NACA 0012 airfoil’s aerodynamic properties, demonstrating its potential for drag reduction and lift optimization at critical flight speeds. Notably, the research elucidates the airfoil's ability to maintain aerodynamic stability and efficiency, highlighting its suitability for applications in modern aircraft designs aimed at high subsonic operations. The implications of this study extend beyond the specific aerodynamic performance of the NACA 0012 airfoil. By advancing the understanding of airfoil behavior in near-sonic conditions, this research can inform future airfoil design and optimization efforts, fostering the development of more efficient and environmentally sustainable aviation technologies.
Translation Strategies based on Cultural Image and Symbolism in Chinese Ancient Poetry
Authors: Xing Xiaoshu
Published: June 2024

As the treasure of Chinese literature, ancient poetry contains rich cultural images. It is not only the crystallization of language art but also the carrier of cultural inheritance. Image and symbolism play an essential role in ancient Chinese poetry, which not only enriches the connotation of poetry but also brings challenges to translation. In the translation of ancient Chinese poetry, accurately conveying cultural images has become an essential task for translators. This paper takes one of the renowned Tang-dynasty poets, Li Bai's Silent Night Thoughts, as an example to explore the cultural images in ancient Chinese poetry and its translation strategies. Through the analysis of different versions of the poem translation, combined with the cultural background and language characteristics, this paper discusses the methods and techniques of the translation of cultural images and symbolism in ancient Chinese poetry in order to provide a new way of thinking and perspective for the translation of Chinese ancient poetry.
Study of Light Pollution Risk Evaluation Model
Authors: Wu Junjie , Yang Yizheng , Lei Lingxin , Zhong Yihua
Published: June 2024

The invention and widespread use of artificial light are important progress in human history, but the light pollution formed by its excessive or poor use is a serious danger to biodiversity and ecosystems, etc. Behind the bright lights of the busy city, it is also a metaphor for the bright starry sky far away from us. Though using the theory and methods of risk identification and evaluation hierarchical model, and unconfirmed measurement model, the index system and the measuring method on the risk level of light pollution are established, the Light pollution risk evaluation model is formed, and they are applied to interpret their results for the four diverse types of locations. The order of the ratings is urban communities, suburban communities, rural communities, and protected land according to high to low. They meet the results from the literature, which confirms the reasonableness of the risk level measures developed. Our work provides a certain reference for the research and treatment of light pollution.
Preface: 3rd International Conference on Software, Data Processing and Information Technology (SDPIT 2024)
Authors: Liu Huajun , Sonmerfield Ingrid
Published: June 2024

The 2024 3rd International Conference on Software, Data Processing and Information Technology (SDPIT 2024) is a leading conference held at Washington DC, USA during February 17-18, 2024. It encourages communication and collaboration, hoping to provide an international platform for its participants to present, share, and learn the latest advance and development of software engineering, data processing, cloud computation, mathematical modeling and information technology.
Academics, researchers, and students from across the world are all welcomed to exchange findings and ideas, to draw further inspirations in these research fields. It's a great opportunity to deepen your understanding in the related topics. Everyone interested in these fields were welcomed to join the conference and to give comments and raise questions to the speeches and presentations. We are hoping we could see each other again next year.
Each submission to SDPIT 2024 was reviewed by at least two program committee members. We would like to thank the program committee members and external reviewers for their hard work in reviewing and selecting papers. Hopefully, all participants and other interested readers can benefit scientifically from the proceedings and find it rewarding in the process.
Chairman of Conference Committee
Washington DC, USA
Comparison of Chinese and Western Civilizations: A Case Study of Mainstream Creation Mythologies
Authors: Jiao Xinbo
Published: June 2024

Creation myth not only records the birth of all things in the world, but also reflects the understanding of different nationalities on the origin. Due to the differences among nations, the creation myths reflect different national characteristics with universality. This paper makes a comparative study of Greek creation myth, Bible creation myth, Chinese mainstream myth of creation, "Pangu opens heaven" and "Nuwa creates humankind". It is found that the hero worship color dominated by nature worship in Greek mythology and the three classes of "Superman-Nature-Mortal", the nature worship color dominated by hero worship in Bible and the binary opposition between God and man, and the absolute nature worship color in Chinese mainstream mythology. In addition, based on the comparison between Chinese and Western myths, this paper also finds that Western myths embrace duality and systematic feature, while Chinese myths have the characteristics of fragmentation and naturalization.
Analysis of Distortions in the Implementation of the "Double Reduction" Policy
Authors: Liu Xueting , Yuan Xuezhe
Published: June 2024

Since the promulgation of the "double reduction" policy, a number of policy distortions have arisen, which have greatly constrained the actual implementation of the policy. Therefore, active countermeasures should be taken to address these problems: reforming the promotion and evaluation systems, maintaining the main focus of school education, improving the financial guarantee mechanism for after-school services, and strengthening the governance of extracurricular training institutions, so as to enhance the effectiveness of the policy's implementation.