bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantifying the Green Gains: A Difference-in-Differences Analysis of Low-Carbon City Pilot Policies and Green Total Factor Productivity
Authors: A Liya
Published: December 2024

In the past decade, China has enhanced its efforts to achieve sustainable and low-carbon development as a strategic response to climate change. According to their respective development stages and resource characteristics, cities in different regions have explored practical paths of carbon transformation through low-carbon city pilots. These pilots are designed to scale up nationwide low-carbon programs, focusing on embracing the challenge of peaking and neutrality carbon targets in China. This paper examines the performance of the low-carbon city pilot policy in China by analyzing panel data of prefecture-level cities from 2007 to 2020. Qualitatively, the paper estimates the impact of policies on GTFP and environmental innovation by incorporating a DID framework. These policies have had a positive impact on GTFP and innovation, but there is still potential for technological advancement. By incorporating the SBM-GML model, this study identifies further refinement areas for policy that would more firmly establish sustainable growth mechanisms within China’s evolving green development paradigm.
Research on the Problems and Optimization of Marketing Strategies of Chinese Hot Pot Restaurants
Authors: Lu Yanqi , Zhao Yihao
Published: December 2024

With the continuous development of society, the popularity of hot pots in China remains strong, but the market faces several challenges. This paper aims to analyze the marketing strategies of the Chinese hot pot industry, focusing on both historical trends and contemporary approaches. It begins by outlining the current state of the market, discussing the evolution of hot pots and key marketing strategies adopted in recent years. Haidilao, a standout player in the industry, is used as a detailed case study, with emphasis on its exceptional customer service and innovative marketing techniques. Despite its success, the hot pot market faces three critical challenges: intense market competition, overly standardized marketing and product offerings, and a lack of innovation in ingredients, which raises concerns about food safety. This paper delves into the root causes of these issues and proposes actionable recommendations for addressing them. Solutions include enhancing product differentiation, adopting more diverse marketing approaches, increasing innovation in menu offerings, and improving food safety measures to sustain long-term growth in the hot pot industry.
The Advance of Chess Engines with Deep Learning
Authors: Wang Haoran
Published: December 2024

Since IBM’s “Deep Blue” computer defeated the world champion Garry Kasparov, chess is a vital evaluation scenario to verify the learning ability of artificial intelligence algorithms. Recently, with the rapid development of this neural network technology, deep learning and reinforcement learning technology based on neural networks has completely changed the chess artificial intelligence. Several mainstream neural networks, such as Convolutional Neural Networks (CNN), are good at recognizing chess pieces and extracting game features, while Recurrent Neural Network (RNNs) analyzes complex moving sequences. AlphaZero, based on deep reinforcement learning, can even surpass human champions in the field of Go through self-supervised learning, demonstrating the great potential of artificial intelligence in intellectual games. Although artificial intelligence has greatly enhanced the competitiveness and accessibility of the game, the interpretability of the deep learning model is still a limitation, especially in high-risk or high-trust areas, where it is essential to understand the model behaviour, decision-making process and transparency. In this paper, the development of deep learning in the chess system is deeply studied, the challenge of interpretability is explored, and the potential of causal reasoning is discussed to enhance the interpretability and the overall application value of chess artificial intelligence.
The Avengers’ Marketing Strategy: A Case Study of Innovative Film Promotion in a Globalized and Digitalized Market
Authors: Li Jiarui
Published: December 2024

With the rapid development of the global entertainment industry, competition in the film market has become increasingly fierce. Driven in particular by technological progress, this study takes The Avengers as a case study to explore in depth its successful experience in integrating traditional and digital marketing methods. It analyses how it used innovative marketing strategies to drive box office growth, increase audience engagement, and enhance brand value. The study found that The Avengers made full use of viral social media communication, cross-industry collaboration, fan interaction, and word-of-mouth marketing in its film promotion. It successfully attracted the attention of audiences around the world through trailers, behind-the-scenes footage, and brand collaborations. In addition, the comprehensive marketing strategy that combined traditional media advertising with social media interaction, as well as global promotional activities, also greatly contributed to the film’s global box office performance. This study reveals the importance of innovation and integration of film marketing strategies for film success in the context of globalization and digitalization.
The Exposition and Proof of Euler’s Formula
Authors: Xiang Haoyue , Xiong Weichen , Zhang Yifan
Published: December 2024

In the 18th century, Euler’s formula (EF) was discovered by Leonhard Euler, and it has since been recognized as one of the most famous and beautiful equations in the mathematical world, occupying an extremely important place in numerous fields. The theory of complex functions has been significantly enriched by this formula, as it extends the domain of trigonometric functions to complex numbers and establishes a relationship between trigonometric functions and exponential functions. This paper explores the extended applications of Euler’s formula in complex numbers, geometry, topology, and graph theory. The proof of Euler’s formula in its algebraic form is achieved through the utilization of the Maclaurin series and the method of separation of variables, starting with the derivatives of functions. Additionally, the implications of the formula are investigated, with related proofs and applications being examined in plane geometry, graph theory, and physics. It is highlighted that Euler’s formula not only occupies a significant position in mathematics but has also been a driving force behind the continuous development and innovation of modern technology.
Experimental and Simulation Study of Vehicle Backside Constant Jet Drag Reduction
Authors: Li Lufei , Zhao Yiming , Tian Zhengyu
Published: December 2024

Vehicle back constant jet drag reduction is one of the current research hotspots. This study explores the effect and principle of constant jet drag reduction in the back of a vehicle by combining theoretical analysis, wind tunnel test, and numerical simulation with the Ahmed-like vehicle body model as the research object. The results show that the optimal jet position is at a certain distance in front of the transition line between the vehicle’s slant back and straight back, the optimal jet velocity is near 0.5 times the vehicle speed, and the optimal jet angle is slightly upstream in the direction of the normal of the plane where the jet hole is located. In this study, the optimal jet position is position 4, the optimal jet velocity is 20 m/s, and the optimal jet angle is 120° (pointing upstream) from the slanting back. Under the above conditions, the constant jet at the back of the vehicle can reduce the aerodynamic drag by 7.5%. The principle of drag reduction by constant jet includes reducing the intensity of the vehicle wake vortex and changing the position of the vehicle wake vortex. The effects of pressure and wake flow field (velocity, vortex volume, turbulent kinetic energy) are shown, the optimal jet parameters are determined, and the principle of drag reduction by constant jet at the back of the vehicle is analyzed.
Research on photocatalytic and degradation properties of SA hydrogel and advantages among photocatalytic materials
Authors: Hai Mengyang
Published: December 2024

Photocatalysts have attracted great research interest owing to their excellent properties and potential for simultaneously addressing challenges in wastewater treatment. For traditional photocatalytic materials, there are always some limitations. For example, their photocatalytic performance is limited due to their high band gap (UV range) and recombination time of photogenerated electron-hole pairs [1]. Additionally, photocatalytic materials face the challenges of secondary pollution to the environment and poor recycling performance. Hydrogel photocatalysts has been of high removal efficiency of water pollutants due to its adsorption capacities and good environmental compatibility. Hydrogels are macromolecular hydrophilic polymetric gels with cross-linked 3D structures that can easily entrap water molecules in their pores or interstitial spaces to swell up while remaining insoluble. Hydrogels exhibit high structural flexibility, chemical stability, elasticity and permeability, enhancing their water absorption capability. In this review, we will mainly focus on the photocatalytic degradation properties of sodium alginate (SA) hydrogel and explore its further application in wastewater treatment (dye degradation). Also, we compare the metal-ion-doped graphene hydrogel (MGH) with SA hydrogel in efficiency, conditions control and further prospects etc.
Optimisation of Real-time EEG Signal Classification Accuracy
Authors: Zhang Junhan
Published: December 2024

This study proposes a hybrid model based on the combination of a convolutional neural network (CNN) and a long short-term memory network (LSTM) for the classification of electroencephalographic (EEG) signals, with a particular focus on the motor imagery task in the BCI Competition IV Dataset 2a. The usability of the data is enhanced by band-pass filtering and independent component analysis (ICA), which effectively removes artefacts and noise from the signal, thus improving the quality of the data. In the process of feature extraction, time-domain statistical features are employed, while high-dimensional features are reduced in dimension through principal component analysis (PCA), thus enhancing the computational efficiency and classification performance of the model. This paper experimental results show that the CNN-LSTM model achieves 100% accuracy on the training set, but only 72.41% on the test set. These findings suggest that the model demonstrates robust classification capabilities when processing training data, but exhibits some limitations in its ability to generalise to previously unseen data. This paper also discusses the limitations of the model and makes suggestions for improvements to further optimise its generalisation performance and enhance the results of its applications.
A Comparative Analysis of the Kunqu “Shi Wu Guan” and the Qinqiang “Shi Wu Guan”: Based on the “Zhong Kuang’s Judgment of Execution” Scene
Authors: Xie Wanshu
Published: December 2024

As a classic piece of traditional Chinese drama, “Shi Wu Guan” features a vivid and gripping plot, particularly in its segment “Zhong Kuang Judges the Beheading.” This paper conducts a comparative analysis of the same work, “Shi Wu Guan”, by examining the artistic performance characteristics of Kunqu and Qinqiang. The study highlights the similarities and differences between these two versions in terms of character performance style, traditional musical forms, and the portrayal of emotions. Through this analysis, the paper aims to contribute to opera research and explore the enduring artistic charm of these operatic traditions, which transcend time and space.
Differences between Chinese and Western music classroom systems in education and the integration of borrowing path research
Authors: Huang Qiying
Published: December 2024

The distinctive differences between the Chinese and Western music education systems in the educational stage, based on which this paper proposes strategies for effective integration of the two. With the increasingly close international exchanges and the in-depth development of the concept of multicultural education, how to promote mutual learning and integration between Chinese and Western music education based on the uniqueness of their respective cultures has become an important issue in the field of music education. This issue is not only related to the innovation and development of music education but also has great significance for promoting cultural diversity and international understanding and cooperation. In this article, through literature review, comparative analysis, and other methods, we study and explore the comparison of classroom models between Chinese and Western classrooms and explore the effective ways to promote mutual learning and integration based on the differences between the two. It is found that this integration path significantly improves students’ musical literacy, creativity, and all-round development, and provides a valuable reference for the reform and innovation of music education.
The Widely Use of Support Vector Machine in Many Areas
Authors: Zhang Yuxuan
Published: December 2024

After numerous experiments, a lot of data will be obtained, but the classification of fata is complicated and cumbersome. Hence, it is crucial for them to classifier data into different classes in a efficient way so that there is a subject called Support Vector Machine (SVM). Moreover, many research areas use SVM with other mathematical method like physics, chemistry and biology. In this article, the author will fully introduce the history, definition, composition, kernel trick and four common functions about SVM and the widely uses of it in different areas, such as image classification, text categorization and bioinformatics. After showing these typical examples, the result shows that SVM plays an significant role in helping researchers classifier data and getting the most sufficient result in their researches. In the future, there will certainly be more and more studies using this method to efficiently classify data, and scholars in different fields can make reasonable use of this method based on their types of data, thus saving research time and improving the accuracy of results.
Education Inequality in China between Rural and Urban Area
Authors: Jiang Yongyang
Published: December 2024

Education inequality is a pressing and undeniable social issue in China, where disparities in educational opportunities and resources are starkly evident between urban and rural regions. Public policies and societal perceptions significantly influence the allocation of educational resources, resulting in a polarized educational landscape. This essay aims to delve into the intricacies of educational stratification caused by various policies, utilizing a Quantitative Methodological approach to address three pivotal questions. Firstly, it seeks to identify the key factors contributing to the unequal distribution of educational opportunities and resources across the country. Secondly, the essay will explore the profound impact of educational inequality on the socio-economic development of both urban and rural areas in China. Thirdly, the effectiveness of government initiatives aimed at redistributing resources to bridge these educational gaps will be scrutinized. This includes evaluating the success of policies such as the “Two Sessions” system, which aims to provide equal access to quality education for all children, regardless of their geographical location or socio-economic background. By addressing these questions, the essay will conclude that while education inequality is indeed a pervasive issue in China, there is a critical need to understand the root causes and impacts to develop targeted and effective solutions. It will highlight that the provinces with the greatest demand for educational resources are often those that are most underserved, emphasizing the urgency for policy reform and resource reallocation to ensure equitable educational opportunities for all.
Research on the Implementation Path of Differentiated Classroom Teaching in Basic Education Stage
Authors: Zhou Yue
Published: December 2024

Classroom differentiated teaching has received widespread attention in the field of teaching, but there are still shortcomings in the implementation of differentiated teaching in the classroom of basic education stage. This article analyzes the implementation path of differentiated teaching in the basic education stage from different perspectives, and concludes that although there are many obstacles in differentiated teaching in the classroom, there is still great development and implementation space for differentiated teaching in the basic education stage. Based on this, this article proposes the following suggestions to vigorously develop differentiated teaching methods in the basic education stage. According to the characteristics of students in the basic education stage, differentiated teaching obstacles should be solved from different perspectives to meet the needs of students in the basic education stage. This breaks the traditional teaching methods of teachers, innovates differentiated teaching methods, and makes the implementation of differentiated teaching in the basic education stage no longer difficult, achieving the teaching objectives of teachers.
Principle and Applications of Deployable Structure in Aerospace Engineering, Medical Devices and Emergency Facilities
Authors: Zong Zhenhao
Published: December 2024

Deployable structures have become vital in various fields due to their ability to transition between compact and expanded forms. This study focuses on their applications in aerospace engineering, medical devices, and emergency facilities. In aerospace, deployable structures like antennas and solar panels optimize space and functionality. Medical devices, particularly stents and retractable instruments, use deployable designs to enhance minimally invasive procedures. Emergency facilities, such as deployable bridges and shelters, offer rapid, reliable solutions in disaster and military contexts. The research highlights significant advancements, e.g., scissor-like mechanisms in deployable bridges, origami-based solar panels, and NiTi shape-memory alloy stents. Despite progress, challenges remain in improving durability and simplifying deployment processes. Future research should focus on lightweight, durable materials and simplified designs to enhance reliability and expand the range of applications. The significance lies in providing a comprehensive review of deployable structures, analyzing both their benefits and limitations, and offering insights into potential future developments that could influence engineering, healthcare, and emergency response innovations.
An Exploration of Profinite Sets via Filters and Ultrafilters
Authors: Wang Junlin
Published: December 2024

This paper explores the intricate structure and foundational principles of profinite sets, focusing on their compact, totally disconnected, and Hausdorff properties through the lens of filters and ultrafilters. Profinite sets, being inverse limits of finite discrete sets, are pivotal in topology and algebra, offering insights into complex mathematical constructs. The study delves into the roles of filters and ultrafilters, with filters providing a framework to investigate compactness and separation properties, while ultrafilters elucidate convergence and limit points. A significant emphasis is placed on the Stone-Čech compactification, demonstrating its utility in representing profinite sets as limits of inverse systems of finite sets. This approach confirms the compact Hausdorff and totally disconnected nature of profinite sets, illustrating their profound relevance in various mathematical fields. The paper addresses specific topological problems involving ultrafilters, reinforcing the understanding of their structural characteristics and broad applications, particularly in advanced number theory, algebraic geometry, and mathematical analysis.
Research Progress on Green Building Materials in Civil Engineering
Authors: Pan Ning
Published: December 2024

Amidst growing environmental concerns, the push for energy conservation and recycling is gaining momentum across all industries. In the construction sector, green building materials are gaining popularity due to their eco-friendliness, lack of pollution, lower energy consumption, and cost-effectiveness. These materials not only cut costs but also play a role in ecological restoration in practical applications, making them a cornerstone in the transition towards sustainable construction practices. This study delves into the essential features and categorization of green building materials and analyzes their implementation in construction projects. It highlights how these materials, such as autoclaved aerated concrete, Aerogel Composite and fly ash bricks contribute to the reduction of a building’s carbon footprint and enhance indoor environmental quality. By selecting the appropriate eco-friendly materials, we can bolster the ecological and energy-saving aspects of construction endeavors, leading to buildings that are not only structurally sound but also environmentally responsible. The adoption of green building materials is pivotal in reducing energy usage, maintaining ecological balance, and fostering the sustainable development of the socio-economic framework. As these materials become more prevalent, they offer solutions that are aligned with the global goals of reducing greenhouse gas emissions and conserving natural resources. The integration of green building materials into architectural design and construction is a significant step towards creating a built environment that is healthier for occupants and less harmful to the planet. Furthermore, the ongoing research and development in the field of green building materials are leading to innovations that improve the performance and reduce the environmental impact of construction even further. This includes the use of renewable materials, recyclable components, and materials with a lower lifecycle assessment impact. The future of construction is poised to be more sustainable, with green building materials at the forefront of this transformation, driving industry standards towards greater environmental responsibility and efficiency.
Recognition of the Physical Significance of Heisenberg’s Uncertainty Principle
Authors: Huang Hongbin , Wang Yihua
Published: December 2024

Heisenberg’s uncertainty principle (HUP) is a central concept in quantum mechanics that reveals inherent limitations in the measurement of microscopic particles and profoundly affects the understanding of the physical world. This paper reviews the physical significance of HUP and its applications and research progress in modern physics. The complexity of measurements in quantum systems is revealed by deriving the uncertainty relation and analysing the wavefunction collapse and the classicalisation of quantum states. This paper summarises the current experimental verification of the principle of measurement uncertainty in different quantum systems and discusses the research progress in improving measurement accuracy through quantum entanglement. Recent studies have shown that controlling quantum entangled states can effectively reduce measurement disturbances and thus improve the measurement accuracy of quantum systems without violating the principle of mismeasurement. Despite the many advances made, there are still challenges to further improve the measurement accuracy in complex quantum systems. Future research will continue to explore the potential for applications in this area.
Ocular Artifacts Removal in EEG Signal Based on Discrete Wavelet Transform and Savitzky-Golay Filter
Authors: Kang Jin
Published: December 2024

Electroencephalography (EEG) is a critical tool in neuroscience and clinical diagnostics, offering valuable insights into brain activity. However, EEG signals are often contaminated by ocular artifacts, which can significantly distort the data, leading to potential misinterpretations. This study introduces a novel method for removing ocular artifacts from EEG signals using a combination of Discrete Wavelet Transform (DWT) and Savitzky-Golay (SG) filter. The proposed method effectively separates the EEG signal into multiple subbands using DWT, followed by the application of the SG filter to the contaminated subbands to remove artifacts while preserving the integrity of the original EEG signal. The performance of the proposed method is evaluated using a publicly available EEG dataset. Two performance metrics (signal-to-noise ratio improvement, and percentage reduction of correlation coefficient) are used to test the DWT-SG method. The results show superior artifact removal capabilities and lower computational complexity compared to traditional methods. The results demonstrate that the DWT-SG approach has an average SNRI and η values of 10.367 dB and 25.26%.
Impact of Cross-border Investment on the Economies of Developing Countries
Authors: Chen Zeyuan , Deng Caiqiao , Liu Yuanhe , Zhang Ruke
Published: December 2024

In the context of international economic cooperation, cross-border investment has become one of the key tools to promote the economic growth of developing countries, Cross-border investment has become one of the key tools to promote the economic growth of developing countries. This study aims to analyze the impact of cross-border investment on the economy of developing countries, the basic scope, and the conceptual definition of cross-border. Paper first clarifies the basic scope of cross-border investment and its conceptual definition, focuses on foreign direct investment as the core research object, and sets developing countries as the main target group for analysis. Through the in-depth application of literature research and comparative research, this paper reveals the multiple impacts of cross-border investment on developing countries: it has indeed introduced valuable capital, advanced equipment, and technology to these countries, and promoted economic growth and development. However, this process is also accompanied by a complex mix of pros and cons. On the one hand, cross-border investment can stimulate and promote the growth and expansion of local firms; on the other hand, it can also trigger potential hazards and risks to the local social structure and natural environment. In addition, the paper points out that the economic impact of cross-border investment on different developing countries varies significantly, and that these variations are influenced by a combination of factors, such as economic fundamentals, policy orientation, resource conditions, and sociocultural contexts of each country.
The Evolutionary View and a A Research Review of The Sex Difference in ADHD
Authors: Huang Siqi , Chen Yibo , Shen Muhan , Xue Runqian
Published: December 2024

This article introduces ADHD and gender differences and reviews relevant evolutionary psychology theories. Specifically, the hunter-gatherer theory which explains the higher prevalence in males and less disruptive symptoms in females, has been expanded from the perspectives of foraging and navigation. Due to the different navigation strategies, males with ADHD are more likely to be selected by nature for their adaptation to hunting, meanwhile, females with ADHD tend to be eliminated by natural selection.
A Research on Population Structure and Economic Development
Authors: Zhu Luyi
Published: December 2024

Sustainable economic development is one of the key issues today. There are many factors affecting the development of the economy. Among all the causes, population structure is one of the most significant factors affecting economic development. However, the population structure changes hinder the sustainable economy’s development. Therefore, more and more people pay attention to population structure. Nowadays, most of the countries in the world are facing population aging, population mobility issues, or some other population problems. The paper will analyze the impact of population structure on economic development first. Furthermore, the paper will provide reasonable solutions to the corresponding problems through specific examples. Population Aging is one of the most serious population structure problems. For sustainable development, governments need to control the proportion of the elderly. Population Mobility is a quite common phenomenon. With the trend of population mobility, economic development is also changing. To improve the average economic level of all the cities, the governments need to formulate policies to attract comprehensive population mobility, rather than one-way mobility.
Hydrogen Storage Systems for Renewable Energy: Technologies, Challenges, and Future Prospects
Authors: Che Yuchen
Published: December 2024

This article examines various hydrogen storage systems to optimize the use of hydrogen as a solution for balancing inconsistent renewable energy supplies. Emphasizing hydrogen storage capacity, the paper discusses methods including compressed gas, liquid, underground, and metal hydrides storage, alongside innovative chemical forms. Technologies for hydrogen production from renewable sources such as photovoltaic solar energy and wind, as well as from biomass, are explored, highlighting the efficiency of water electrolysis and the challenges of intermittency. The study critically analyzes each storage technology’s energy conversion efficiency, capacity, and sustainability, providing a comparative insight that underscores the imperative for further research in enhancing the efficiency and reducing the operational costs of these technologies. As the demand for renewable energy continues to grow, this paper underscores the crucial role of advanced hydrogen storage solutions in achieving a reliable and sustainable energy future.
Chemical Measures for Ozone Layer Protection: A Review from Theory to Practice
Authors: Li Yaopeng , Pu Siyu
Published: December 2024

The depletion of the ozone layer is a major environmental problem with wide-ranging and far-reaching consequences for life on Earth. Chemical means have become an important method of protecting the ozone layer. The ozone layer is an important part of the Earth’s atmosphere, absorbing most of the harmful ultraviolet radiation and serving to protect life on Earth. However, since the end of the 20th century, there has been a significant depletion of the ozone layer, especially in the polar regions, due to the emission of ozone depleting substances (ODS) such as chlorofluorocarbons (CFCs) and halocarbons from human activities. These substances were once widely used in refrigeration, air-conditioning and industrial processes, leading to a thinning of the ozone layer, which in turn increased the intensity of ultraviolet (UV) radiation at the surface, posing a serious threat to human health, ecosystems and biodiversity, such as an increase in the incidence of skin cancers and cataracts, as well as damage to marine life and agriculture. Since the 1970s, scientific studies have revealed the damaging effects of CFCs on the ozone layer. In response to this threat, the international community has actively worked to control and phase out ozone-depleting substances, of which the Montreal Protocol, signed in 1987, has achieved remarkable results in reducing the production and use of CFCs and other substances.
Impact of Social Media Agricultural Aid Advertising on Online Customers’ Purchase Intention
Authors: Bian Zhuoying
Published: December 2024

Due to the prosperity and development of social media, many farmers turn to social media advertising to help farmers to improve the sales of agricultural products. However, due to the lack of farmers to capture the hot spots and characteristics of social media advertising, the sales of agricultural products cannot be greatly increased. In order to deal with this phenomenon, this study through the questionnaire survey and data sorting and analysis method, for the online customer purchase intention has significant influence of four advertising characteristics, let farmers in social media to help farmers advertising can pay more attention to the four aspects, to achieve more effectively to improve the sales of agricultural products, eventually can help social media to help farmers advertising to attract more online consumers, increase online customer purchase intention. The aim is to achieve harmonious win-win, increase online sales volume to help farmers get rid of poverty and become rich.
Modelling of Real-Life Mixed Integer Programming Problems: Comprehensive Tourism Service Center Converge Problem
Authors: Luo Tianqi
Published: December 2024

This paper uses the Mixed Integer Programming (MIP) model to plan the Comprehensive Tourism Service Centers (CTSC) in Gusu District, Suzhou, to meet the increasing demands of tourists and alleviate the excessive pressure on existing facilities. Since the end of the COVID-19 epidemic, Suzhou’s tourism industry has steadily grown, particularly in Gusu District, where scenic spots are concentrated. Tourist numbers surge, especially during holidays like Labor Day, Mid-Autumn Festival, and National Day. However, the district’s narrow streets, crowded traffic, and increasing visitor flow have highlighted the insufficiency of current visitor centers. By establishing CTSCs, which provide essential services such as rest areas, basic shopping, and emergency medical assistance, tourism quality can be enhanced while relieving pressure on existing centers. Given the district’s high density of protected buildings and construction challenges, the MIP model simplifies Gusu District into a point-line map, calculating the optimal locations for CTSCs under various constraints to connect attractions and improve the overall visitor experience within a limited budget and space.
“Marginalized” Medea: The Role of Chorus in Shaping Medea’s Political and Feminist Identities
Authors: Guo Yingshan
Published: December 2024

Euripides’ play Medea has always been the subject of academic interest and increasingly so in the last few years due to the rise of feminism. However, research concerning the role of chorus in Medea’s characterization is scant, leaving many details unexplored. This paper examines the chorus’s role in shaping Medea’s two most important identities: her political identity as an outsider, and her feminist identity as a wife and mother. By using the methods of textual analysis and close reading, this research seeks to provide in-depth and detailed insights into Medea’s characterization and the broader social background of ancient Greece. Close analysis reveals that the chorus presents Medea’s identities through both direct exposition and implicit suggestion. The chorus’s direct description of and reflection upon Medea’s situations, the delicate relationships between the chorus and Medea and their interactions enrich her identity in various ways. The circumstances of Medea are also an epitome of the entire marginalized female group in ancient Greece, who suffer from prejudice and social restrictions.
Leveraging Consumer Psychology and Behavior to Enhance Brand Reputation
Authors: Lu Juncheng
Published: December 2024

This essay explains how to utilize consumer perceptions to enhance brand reputation, it can help more companies use this method to improve their brand reputation and then increase market share. In the current market environment, more and more risks become unpredictable, and it is so hard to know consumers’ perceptions of the company’s products, furthermore, consumers’ perceptions always interact with brand reputations. So, it is necessary for the company to know consumers’ psychology and use some maneuvers to change consumers’ perceptions that can improve their brand reputation. Swatch is a big company in Switzerland which can be recited in the essay because Swatch does well in terms of changing consumers’ perceptions to enhance brand reputation. According to so many professors and scholars’ essays and research, companies need to find their strengths and use them to create their innovative products and make it popular. This behavior can be exerted in many companies to enhance their brand reputation.
Comprehensive Optimization Strategy of Traffic Signal Control System
Authors: Wei Min
Published: December 2024

Traffic jams have become a worldwide presence where urban centers are concerned, and it is clearly seen that traditional fixed-time control systems are not as flexible. The systems fail to have some ability to react to real-time traffic conditions, situations that bring a lot of inefficiencies, more fuel consumption, and more emissions. This paper forwards a new data-driven traffic signal control optimization technique, which deploys historical data analysis and real-time adaptive control. Supplying historical traffic pattern data, the presented system estimates traffic volume and makes use of intelligent signal control plans that advocate for movable vehicles and clean lungs. Dynamic control allows the system to adapt by managing the signal via real-time live traffic conditions.
Research and Application of Green Environmental Cold Mix Asphalt Mixtures for Township Roads
Authors: Wang Xinzhe
Published: December 2024

In this study, oleic acid and a water-based cold mix agent were introduced to prepare cold mix asphalt. AC-13 was selected as the aggregate gradation for the mixture design, with the optimal asphalt-to-aggregate ratio determined to be 4.9%. Additionally, cement was incorporated to replace part of the mineral powder, further improving the pavement performance of the cold mix asphalt mixture. The cold mix cold paving asphalt mixture was cured at 110°C, and its pavement performance was tested. The results showed that the modified cold mix cold paving asphalt mixture exhibited excellent road performance, with a dynamic stability exceeding 1500 times/mm, a water immersion residual stability strength ratio greater than 80%, a freeze-thaw splitting test residual strength ratio over 70%, and a scattering loss rate of less than 10%. The material was trial-paved in a factory area in the High-tech Zone of Zhengzhou, Henan Province, in July 2023. The current road conditions are performing well, further demonstrating the strong potential of this technology for widespread application.
Research on mechanical structure and collaboration of AGVs
Authors: Yang Yixin
Published: December 2024

With the entry of intelligence and automation into our world, automated guided vehicles (AGVs) have become more and more significant in logistics, warehousing, transportation, and other industries, making transportation more convenient and fast under the system algorithm‘s command, which can save a lot of labor costs and greatly improve production efficiency. This paper mainly introduces the individual structure of AGV and the research status of the ant colony algorithm among cooperative algorithms. They determine whether AGVs can adapt to complex dynamic environments and complete tasks reliably and safely, which is a major, current concern in the AGV industry. This paper analyzes the individual structure‘s chassis, sensor technology, and navigation mode and introduces their advantages and disadvantages, application scope, working principle, etc. For the ant colony algorithm, this paper first introduces the traditional ant colony algorithm. Then it divides current improved methods into the improved methods based on the principle of ant colony algorithm and the improved methods integrated with other algorithms and compares with the traditional algorithms to introduce their improved advantages. This article aims to provide readers with a more profound comprehension of how AGVs work and their role in modern industrial automation, explain key technical points for the future, and provide directions for future research.
Signal Transmission and Feedback Control in Wearable Devices: Review
Authors: Qiao Mingxuan
Published: December 2024

Wearable devices have become a critical driving force in areas such as smart health management, sports tracking, smart homes, and remote healthcare, thanks to advancements in signal transmission and feedback control technologies. This paper systematically reviews the key technologies involved in signal acquisition, transmission, and feedback control in wearable devices, focusing on how closed-loop control enhances user experience and health management through real-time monitoring and dynamic adjustment. By utilizing sensor technology, wearable devices can gather various physiological signals and collaborate with smart systems to provide personalized health and environmental adjustment solutions. The paper also discusses the technical challenges related to latency, energy management, and data security in wearable devices. Additionally, it explores the potential of 5G, artificial intelligence, and next-generation communication technologies to improve device performance. The integration of feedback transmission and closed-loop control offers more intelligent and personalized solutions for future applications in health management, sports tracking, and smart living.
Exploring Hahn-Banach Theorem: Insights into Functional Analysis and Topology
Authors: Du Bowen
Published: December 2024

This paper delves into the Hahn-Banach Theorem, elucidating its significance and applications in functional analysis and topology. It commences by highlighting foundational concepts in normed linear spaces and gradually builds towards a comprehensive exploration of the theorem’s multiple forms. By reconstructing the proof from basic principles, the paper demonstrates the theorem’s versatility in extending linear functionals from subspaces to universal sets, initially within real linear spaces and subsequently in complex scenarios. The proof employs techniques like sublinearity, seminorms, and Zorn’s Lemma to articulate the theorem’s efficacy in both real and complex linear spaces. This study also discusses the adaptation of the theorem in normed linear spaces, where the absence of an explicit dominating function presents unique challenges, and continuity replaces boundedness to establish the theorem’s claims. Through rigorous analysis, the paper confirms the theorem’s pivotal role in linking points and functions within normed spaces, thereby enhancing understanding of dual spaces and their topological implications. Additionally, the practical applications of the theorem in establishing the existence of linear functionals and exploring the relationship between points and functional norms in normed spaces are also detailed, underscoring the theorem’s enduring relevance in mathematical discourse.
Hand-Written Number Classification by Hardware Neural Network
Authors: Chen Jialong
Published: December 2024

This paper delves into the innovative integration of Very Large Scale Integration (VLSI) with machine learning by developing a perceptron-based digital recognition model tailored for handwritten number classification. This model capitalizes on the perceptron algorithm—a seminal neural network form adept at binary classification via the computation of a weighted sum of inputs followed by a nonlinear activation function. The implementation of VLSI technology underpins the model’s architecture, enabling the amalgamation of multiple logic functions onto a singular chip. This consolidation significantly diminishes the size and cost of the electronic components while concurrently elevating performance and energy efficiency. The paper thoroughly explores each phase of the model’s development, from its initial conceptualization and algorithmic formulation through to simulation and final hardware implementation, highlighting the intricate processes and meticulous adjustments required for optimization. The study aims to showcase not only the technical feasibility but also the extensive practical advantages and potential applications of melding traditional circuit design techniques with contemporary machine learning methodologies in digital recognition systems.
Analysis of The Recent Volatile Memory Cells-DRAM and SRAM
Authors: Zhang Zimo
Published: December 2024

Memory cells are basic composition units in advanced electronic equipment like computers. According to the rapid development in memory cells market and data storing industry, the intelligent new technology would absorb plenty of benefits in memory cells. The memory cells industry could be separated into two prime facets, the volatile memory cells and non-volatile memory cells. Both of them are trying to adapt the main requirement and demand of current market, while the volatile and non-volatile memory cells are pursuing more flexible and fantastic functions. This academic article only discusses of the volatile memory cells including Dynamic Random Access Memory (DRAM), Static Random Access Memory (SRAM). Therefore, the concepts and fundamental information of volatile memory cells would be shown first. In addition, the essay focuses on mentioning the well-known applications of volatile memory cells. A brief analysis on the situations and optimizations of volatile memory cells would be revealed in the last part of essay before the final conclusion.
Application of 5G Communication Technology in High-Precision Navigation and Positioning
Authors: Liu Licheng , Yuan Chenyao
Published: December 2024

This paper explores the application of 5G communication technology in high-precision navigation and positioning systems. 5G, with its low latency, high bandwidth, and advanced features such as millimeter-wave communication, Massive MIMO, and edge computing, has revolutionized the accuracy and reliability of positioning systems. The study highlights the use of millimeter waves in both outdoor and indoor environments, where it provides high precision, even under challenging conditions like signal obstruction or adverse weather. Massive MIMO further enhances spectral efficiency and enables sophisticated functionalities such as multi-target tracking and relative attitude estimation, particularly in unmanned aerial vehicles (UAVs). Edge computing is identified as a critical enabler for real-time data processing, reducing latency and improving power efficiency in UAV navigation systems and emergency evacuation applications. Through a comprehensive review of these technologies, the paper discusses the potential of 5G in driving innovation in navigation systems while also addressing key challenges such as signal obstruction and power consumption. The findings underscore the transformative role of 5G in navigation and its implications for future research and industrial applications.
EEG and FNIRS Hybrid Brain Computer Interface Technology in Rehabilitation Medicine
Authors: Jiang Chenghao
Published: December 2024

The field of rehabilitation healthcare is facing both opportunities and challenges due to issues such as the increase in the number of patients with chronic diseases and the ageing of the population. With the increasing demand for rehabilitation healthcare, these issues are gradually gaining attention. Brain computer interface (BCI), as a brand new diagnostic and therapeutic means, cross-fertilises multiple disciplines, while hybrid brain-computer interface (HBCI) technology is a research hotspot in recent years, which breaks through the limitations of the unimodal BCI technology by combining the two paradigms, and brings a new hope to patients with stroke and other diseases. This paper first analyses the current situation of the rehabilitation medical field and discusses the importance of receiving rehabilitation medical treatment for patients with chronic diseases and other diseases. Subsequently, it introduces the development history of brain-computer interface technology, analyses its research status, and explains its technical principles. Then, the application of hybrid brain-computer interface technology is analysed from three types of diseases, namely, limb movement disorders, chronic consciousness disorders, and mental illnesses. Finally, the current problems of hybrid brain-computer interface technology are discussed, and the prospect of the application of hybrid brain-computer interface technology in the field of rehabilitation medicine is outlooked.