bluuebunny/crossref_metadata_2025 huggingface dataset:
Pelatihan dan Pendampingan Pemanfaatan Tools Artificial Intelligence untuk Guru
Authors: Brave A. Sugiarso  , Arie S.M. Lumenta  , Pingkan A.K. Pratasis
Published: December 2024

The training and mentoring activities for the use of Artificial Intelligence (AI) tools for teachers were chosen with the aim of enhancing or improving teachers’ understanding and ability to implement AI technology in the educational environment. Initial interviews revealed a lack of knowledge and skills among teachers in utilizing AI tools, which affects the quality and effectiveness of learning. The methods applied in this community service include counseling and training, preceded by surveys and interviews. Teachers were given intensive training that included an overview of AI and how to apply AI tools in the teaching and learning process. Additionally, there was an implementation phase that required teachers to design and implement simple AI-based learning applications as supporting media. The AI tools used included Gamma, IlovePDF, chatPDF, and ChatGPT. The results showed significant improvements in teachers’ understanding and skills in using AI tools. Teachers were able to create AI-based learning applications aimed at enhancing interaction between teachers and students. Furthermore, teachers could reduce administrative workload and optimize resources. Thus, the use of AI can have a positive effect on the quality of learning. The implementation of AI also facilitates teachers’ work in managing administration, such as handling attendance, assessments, and lesson planning.
Strategi Pengembangan Usaha Budidaya Ikan Nila (Oreochromis niloticus) di Desa Sukamantri, Kecamatan Tamansari, Kabupaten Bogor
Authors: Ilham Galeh Ramadhan  , Aliffia Anassyahtira Hamzah  , Camelia Trirahmawati  , Apan Sopian  , Ratu Nabilla Rahmawati  , Muhammad Radithya Naufal Apriansyah  , Dian Eka Ramadhani  , Sarah Anjani  , Sofia Deannisa
Published: December 2024

Red tilapia (Oreochromis niloticus) is a freshwater fish known for its high tolerance to environmental conditions, low water quality, and ability to adapt well to various situations. Data from the Ministry of Marine Affairs and Fisheries shows that tilapia production in Indonesia has increased significantly, from 1,172,633.38 kg in 2020 to 1,300,529.23 kilograms in 2021, with a percentage increase of 10.90%. The community strongly influences the local economy and food security. Tilapia farming is widely chosen because it has a stable selling price and fast growth. Many farmers have chosen Tilapia farming as their primary source of livelihood. This research aimed to study the socio-economic conditions, difficulties, and development opportunities of tilapia farming in the community. The results show that although this business contributes significantly to family income, there are several constraints, such as fluctuating market prices, limited access to technology, and low aquaculture skills. In addition, the success of aquaculture is also affected by environmental conditions and resource availability. Therefore, a development plan that includes training, access to capital, and improved infrastructure is needed to improve yields and the welfare of the tilapia farming community.
Mengoptimalkan Pemasaran Digital bagi UMKM: Pendampingan Sayuran Organik pada UMKM AD Hidroponik
Authors: Herlina Kusuma Wardhani  , Frederik Pradana Deniswara  , Agus Hermawan
Published: December 2024

Abstract The service activity for AD Hydroponic MSMEs aims to provide assistance that emphasizes digital marketing for the development of AD Hydroponic MSMEs in Malang Regency, where AD Hydroponics is a business in agriculture, namely organic vegetable plantations. This activity was carried out by a team of assistants and the method of this research was observation and implementation based on an analysis of the situation at AD Hydroponic MSMEs. This service was carried out from October to December 2024. The results of the implementation of this assistance went well, where business actors participated and carried out the directions of the assistance team well. It is hoped that the results of this assistance can improve digital marketing skills and also encourage the growth of the AD Hydroponic business in the future.
Stafne mandibular bone cavity: Case series
Authors: Yılmaz Büşra Gül , Altun Sinan
Published: December 2024

Stafne Mandibular Bone Cavity (SMBC) is an asymptomatic bone depression typically seen on the lingual surface of the mandible, often in the posterior region. It was first described by Edward C. Stafne in 1942. Although the etiology is not definitively known, it is thought that the submandibular salivary gland (at the posterior region) or the sublingual salivary gland (at they anterior region) causes bone resorption by exerting pressure on the mandible. SMBC is typically found in males, between the ages of 50-70, and is often detected incidentally on panoramic radiographs. In the case series, radiolucent areas were observed below the mandibular canal in 9 patients; 1 was irregular, 2 were round, and 6 were oval in shape, all with well-defined borders. These structures do not require treatment and are monitored with regular clinical and radiological follow-ups.
The Data Preprocessing Technique in Machine Learning
Authors: Deng Jiale
Published: December 2024

Data preprocessing has a vital impact on the performance of traditional machine learning. However, with the continuous development of deep learning technology and the powerful representation learning ability of neural networks, deep learning models can easily convert raw data into continuous feature representation and have made remarkable achievements in many downstream tasks. Recently, with the application of deep learning technology in more fields that require robustness and stability, its model bias caused by data quality problems are gradually exposed, which makes the data preprocessing technology regain the attention of researchers. This paper systematically expounds on the primary data preprocessing technology in machine learning and discusses the model bias caused by data deviation and the robustness in the face of attacks. In addition, this paper also illustrates the possibility of a data preprocessing foundation in solving the defects of deep learning foundation based on glove word vector and image classification task based on convolutional neural network. The research in this paper can provide a valuable reference for researchers in related fields.
Graphene Polymer Composites in Flexible Materials
Authors: Jin Heng , Zhang Boxuan
Published: December 2024

Flexible materials have made remarkable development in recent years and are widely used in various fields such as flexible sensors and wearable devices. Existing flexible sensors, wearable devices, flexible electronics and other devices, however, still have problems such as low precision and poor mechanical properties. The emergence of graphene provides a new idea to solve these problems. The composite of graphene, which has excellent electrical conductivity, mechanical strength and flexibility, with polymer materials can improve its electrical and mechanical properties without affecting the flexibility of the materials. In this paper, we mainly introduce the relevant properties of graphene and polymer materials, list the common composite preparation methods of graphene and polymer materials, and the current status of graphene polymer composites. At this stage, graphene polymer composites are widely used in flexible electronics, wearable devices, sensors, folding screens, etc., but there are still some properties that need to be improved and enhanced
The 2-Sheeted, 3-Sheeted, and Universal Coverings of Corresponding 2-Oriented Graph of Rank-2 Free Group
Authors: Hong Xiao
Published: December 2024

This paper reviews results from classical covering theory and applies the classification theorem to provide a comprehensive classification of the connected 2-sheeted and 3-sheeted covering spaces of the bouquet of 2 circles, up to isomorphism without basepoints. These coverings are represented as 4-valent graphs, labeled by the two generators of the rank-2 free group, which serves as the fundamental group of the bouquet of 2 circles. The result directly addresses a question posed by Hatcher, a problem often answered incompletely in previous attempts. This paper provides all possible cases and includes detailed illustrations to accompany the classifications. Additionally, the paper explores the X-digraphs associated with the corresponding index-2 and index-3 subgroups of the rank-2 free group. These subgroup graphs introduce powerful combinatorial tools to examine the subgroups of free groups. In the broader context of geometric group theory, the paper concludes by discussing the Cayley graph of the rank-2 free group as a universal covering space.
The Enlightenment and Reference of Finland’s Special Education Financial Model to China
Authors: Tan Xuanzi
Published: December 2024

This study aims to investigate the financial system of special education in Finland and explore the implications of Finland’s experience for China. The research methods include literature review and statistical data analysis. The main issues include allocating special education funds, management models, and their effects between the two countries. This article compares the financial background and current situation of special education in China and Finland, pointing out challenges such as insufficient funding, uneven resource allocation, and shortage of professional personnel in China. By comparison, Finland adopts an inclusive education fiscal system that emphasizes fairness and efficiency. Through centralized financial support and flexible resource allocation, it has achieved high-quality development of special education. China can learn from Finland’s experience in rational planning of financial investment and improvement of policy support, to enhance the quality and equity of its special education and improve China’s national policy on special education. Summarizing Finland’s experience and providing insights for China, it is recommended that China learn from Finland’s successful practices in funding, resource allocation, audit evaluation, and professional training to optimize the use of special education resources and enhance educational equity and quality.
Research and Design of Sine Wave and Square Wave Signal Generator
Authors: Liao Xiangrui
Published: December 2024

In modern electronic systems, signal generators are widely used in fields such as communication, signal processing, and automatic control systems. High-quality signal sources are key to ensuring system stability and reliability, especially in testing and measurement processes. Traditional signal generators often use complex hardware designs and costly dedicated chips, making it difficult to meet the cost and size requirements for mid- to low-frequency applications. Therefore, it is important to design a simple, cost-effective, and high-performance signal generator based on general-purpose operational amplifiers. In response to this need, this paper designs and implements a sine wave and square wave signal generator based on the UA741 operational amplifier, with a focus on adjustable control of signal frequency and duty cycle. By optimizing the design of the RC oscillation circuit and feedback network, the sine wave generator can output high-quality signals with low distortion, while the square wave generator achieves flexible duty cycle adjustment via adjustable resistors. Simulation results show that these circuits exhibit good stability and flexibility, making them suitable for communication, signal processing, and automatic control systems. Despite achieving the desired results, further research is needed in component selection and circuit optimization to improve precision and adaptability. Future work will focus on the automation of circuit adjustment mechanisms and performance validation under extreme conditions to meet more demanding application needs.
Tinyriscv-based Processor Core Design
Authors: Gao Jingbo
Published: December 2024

Microelectronics and integrated circuit technologies are undergoing continuous evolution, resulting in increasingly powerful processor chips. Presently, the predominant processors available in the market are based on the X86 and ARM architectures, both of which are proprietary and associated with substantial patent licensing constraints. In contrast, RISC-V is an entirely open-source instruction set architecture that is accessible to anyone. Given the diverse, personalized, and differentiated demands within the chip industry, the exploration and utilization of the RISC-V instruction set for processor design hold significant importance.This study first examines the RISC-V instruction set architecture, focusing on its instructional characteristics and format. Subsequently, a three-stage pipeline design is implemented based on the tinyriscv framework, incorporating resource optimizations. The study also addresses the pipeline conflict issues and proposes a partial solution. Finally, the pipeline design’s efficacy and the processor core’s fundamental instructions are validated through ModelSim simulations and the development of test programs.
Related progress of graphene oxide composites in the adsorption and killing of Escherichia coli
Authors: Kong Xianghuan
Published: December 2024

Escherichia coli (E. coli) is one of the most common pathogenic bacteria in modern society, and its resistance to antibiotics has led to the consideration of the abuse of antibiotics. It is necessary to find alternative bactericidal substances to reduce the use of antibiotics and kill E. coli efficiently. Graphene oxide (GO) composites have great potential in killing bacteria and other aspects. This study reviews the progress of graphene oxide composites in the adsorption and killing of E. coli, and concluded that graphene oxide/silver ion (GO-Ag) is the best choice for killing E. coli and reducing the spread of drug resistance genes.
The Advanced and Practical Application of Existing Object Detection Technologies
Authors: Li Kang
Published: December 2024

Object detection is the core task in computer vision, widely used in industry, medicine, agriculture, and other fields. With the development of deep learning technology, object detection algorithms have made remarkable progress in improving accuracy, improving efficiency, and reducing cost. However, the existing technology still faces challenges such as insufficient accuracy, high computational complexity, and deployment flexibility. In this paper, the basic principle of object detection is summarized in detail, including two-stage and single-stage object detection algorithms, and the advantages and disadvantages of several classical algorithms and their application scenarios are analyzed. At the same time, this paper summarizes the specific cases of the application of object detection technology in industrial production, medical diagnosis, and smart agriculture, and discusses the limitations and future development direction of the existing object detection technology. The review in this paper provides a valuable reference for further enhancing the application potential of target detection technology, and it is expected that future research can overcome the current challenges and achieve a wider application.
Optimal Zero Placement for PI and PD Control of DC Motors in Medical Applications
Authors: Wu Jiangtai
Published: December 2024

In medical devices, DC motors are crucial components due to their high efficiency and high starting torque, which effectively address sudden load increases. This study focuses on improving the inherent performance of the system. The proposed approach utilizes PI control for motor speed and PD control for motor angle to optimize system performance. Gain selection is central to this process, ensuring the system maintains robustness while improving response time and minimizing overshoot. The primary task of this research is to select appropriate zero points and gains to achieve optimal performance. Using the root locus method and Matlab, gains for rapid response were identified for a 100mHz DC motor under PI and PD control. Zero points of -11 and -12 were found for high stability requirements and general demands, respectively, offering reduced overshoot and shorter response times. The resulting circuit was constructed based on these values, yielding ideal waveforms and verifying the feasibility of the proposed results. On this basis, further refinement in zero-point selection and optimization of the underlying control system can be pursued.
Adaptive Learning and Central AI Analysis of UAV Navigation Systems Using Multiple Sensors in Complex Terrain
Authors: Cheng Yutian
Published: December 2024

This paper explores the application of artificial intelligence (AI) in the field of unmanned aerial vehicle (UAV) navigation in complex terrains. Traditional navigation systems like GPS often fail in extreme environments due to their limitations. AI techniques, such as reinforcement learning, enhance the UAV’s adaptability, offering a solution to these challenges. By applying continuous optimization methods, including experience replay and dynamic model adjustments, UAVs improve their decision-making capabilities. This results in a more powerful ability to operate effectively in various applications, such as disaster relief and precision agriculture. The integration of AI enables drones to autonomously learn and adapt to new conditions, reducing the need for human intervention and lowering costs. As a result, UAVs are becoming increasingly vital in our daily lives, providing innovative solutions in challenging environments where traditional methods fall short.
Analysis of Rural Education Finance and Poverty Alleviation Policies in Guangxi to Assist Impoverished Students: Based on Data from Compulsory Education Stage
Authors: Zhang Xueyu
Published: December 2024

In China, allocating rural education resources effectively and enhancing educational quality are critical for the nation’s long-term growth and social cohesion. Education significantly contributes to the country’s overall development and the integration of urban and rural areas. Particularly, the progress of rural education is not only pivotal for the country’s future trajectory but also a key element in achieving balanced development between urban and rural regions. Therefore, ensuring a fair distribution of rural education resources and effectively raising the standard of education is a matter that demands the attention of all societal sectors. This research focuses on the Guangxi Zhuang Autonomous Region as the subject of study, delving deeply into the texts and data surrounding educational poverty alleviation policies within the region. The findings of the study show that, despite the government’s successful efforts to enhance the level of rural education through financial assistance and poverty reduction measures, the disparity between urban and rural education persists. Confronting challenges within the realm of educational poverty alleviation, the government needs to increase financial commitment to rural education, optimize the allocation of educational funds between urban and rural areas, elevate the quality of rural education, and ensure the effective and equitable execution of educational poverty alleviation policies.
Research of Graphene Instead of Silicon to Produce Supercomputers
Authors: She Yucheng
Published: December 2024

Graphene is an emerging material in the field of electronics and electrical engineering in recent years, and it is composed of only a single layer of carbon atoms, which gives it some properties that many other materials do not have. For example: high conductivity, high carrier mobility, etc. Due to its excellent performance, it is widely used in many electronic devices, among which supercomputers are a typical example. Graphene replaces silicon in supercomputers to produce transistors for use in supercomputers, and it has its own drawbacks in the process of using graphene in the process of scientists because it is not entirely advantageous. This article will discuss the advantages and disadvantages of graphene as a substitute for silicon in supercomputers. In the first part, this paper will briefly introduce how graphene is made, the sources of demand for graphene, and how graphene works instead of silicon in supercomputers, then introduce the advantages of graphene, and finally introduce the disadvantages of graphene and how to deal with it. The research in this paper will be of great value for the further research and application of graphene.
The Impact of JELLYCAT’s Emotional Positioning on Consumer Behavior in Chinese Youth Market
Authors: Ren Siyu
Published: December 2024

In the modern fast-paced and high-intensity epoch, young people face various life pressures and emotional needs, and buying dolls has become a good way for them to release their emotions. Along with the dynamic changes in preferences of the young Chinese market, the development trend and product design of the plush toy market are also taking place. How to create a differentiated correlation between brand positioning and consumer cognition to raise brand market competitiveness has become a focal point. JELLYCAT has introduced the Amuseeable series of products since 2018, describing dolls as living accessories that resonate emotionally with consumer group and occupy a tiny place in the Chinese youth market. This article begins with the brand awareness among Chinese young consumers, exploring the Chinese youth market competitiveness of JELLYCAT’s emotional positioning in terms of consumer behavior, consumption motivation, and social marketing through questionnaire surveys and some consumer interviews. It not only provides a deeper understanding of the emotional needs of young groups, but also provides more reference value for the brand positioning of similar doll brands.
Implementation of High Level Matrix Arithmetic Based on Serverless Platform
Authors: Xiao Hailiang
Published: December 2024

This article provides a comprehensive review of the topic related to high-dimensional matrix operations based on a Serverless architecture, encompassing the entire process of data upload, parallel processing, and result aggregation. It leverages the automatic scalability of cloud services to achieve efficient computing and evaluates and optimizes system performance. High-dimensional matrix operations play a crucial role in data science, machine learning, and large-scale computing. With the rapid growth of data volume, traditional computing architectures are facing bottlenecks, necessitating efficient and scalable solutions urgently. By implementing high-dimensional matrix operations on a Serverless platform, computational costs can be reduced, resource utilization improved, and flexibility and scalability ensured. This offers new insights for handling large-scale datasets and contributes to the advancement of related fields. Research indicates that the Serverless platform can effectively support high-dimensional matrix operations and enhance computational efficiency. In the future, more complex types of operations and optimization strategies can be explored, along with the integration of edge computing to further reduce latency and improve response speed.
The Development of Renewable Energy Sources and Its Application in the Industrial Field
Authors: Zhai Victor Yunhao
Published: December 2024

Fossil fuels such as coal, oil, and gas are non-renewable resources that take millions of years to form, making the shift to renewable resources essential. This paper discusses the application advantages and development status of two key renewable materials: Polylactic Acid (PLA) and Polyhydroxyalkanoates (PHA). PLA, a biodegradable polyester derived from lactic acid, and PHA, a natural polymer synthesized by microorganisms, offer promising alternatives to petroleum-based plastics. Their use in packaging, textiles, and medical fields helps reduce fossil fuel reliance and promotes the growth of renewable energy sources. They have been widely applied in different fields. They have been widely used for packaging material, including packages for food, delivery service, and so on. PLA and PHA can grow together to meet the different needs of society while protecting the planet’s environment. This paper aims to reduce dependence on fossil fuels and promote the development of renewable energy, thereby promoting sustainable development and environmental protection. Overall, the study highlights that the co-development of PLA and PHA can meet social needs and help protect the earth’s environment.
Explanations of Theory and Performance of Support Vector Machine
Authors: Wang Haowei
Published: December 2024

Hitherto, data points are extremely popular in many difference branches of natural science. For this purpose, this is a mathematical article mainly focuses on how to separate or categorize data points efficiently based on their characteristics. The methods are the following. For the linear separable data, the most fundamental Support Vector Machine(SVM) model can be used, while for non-linear separable data, the slack variables and kernel tricks are two efficient techniques. To test whether there is a significant difference among kernels, two kernels, the Gaussian and polynomial kernels, are chosen. The results for those two are quite alike (used a group of data of iris to showcase this). Next, the author applies two kernels to categorize data points of breast cancer. The whole point of this is to separate data in the most efficient way. In this manner, researchers can better predict events, such as injuries or diseases, and take quicker actions. This paper highlights the importance of SVM model in dealing with data-driven problems.
Research on Interstitial Eddy Currents Detection Methods between Two - layer Conductors based on Apparent Conductivity Curve
Authors: Li Chen
Published: December 2024

In aviation, energy and other fields, the Two-layer Conductors Slabbed Construction has a very wide range of applications, so its reliability is crucial to the operation of the system. However, the traditional testing methods are often limited by complex environment and structural characteristics, but as a nondestructive testing technology, eddy current testing has the advantages of non-contact and high resolution, so it has attracted much attention. As for Two-layer Conductors Slabbed Construction, it is of great theoretical and practical value to accurately detect the internal defects and gaps by analyzing the electromagnetic characteristic changes caused by eddy currents. This study takes the eddy current detection method based on apparent conductivity as the research topic, and explores the theory and method of eddy current detection of two-layer conductors slabbed spacing. First, it describes the physical mechanism of eddy current testing. Then, it analyzes the impedance characteristics of eddy current detection, proposes a two-layer conductors slabbed spacing eddy current detection method, and carries out sweep frequency test of eddy current detection impedance characteristics. On this basis, the analysis of two-layer conductors slabbed spacing eddy current inspection simulation is carried out. Finally, an inversion algorithm of eddy current detection based on orthogonal polynomial is proposed, and its validity is verified by simulation analysis.
The Construction of the Ideal Female Image in Advertising Photography
Authors: Li Yirui
Published: December 2024

This study employs content analysis to examine the construction of idealized female images in the field of advertising photography, with a particular focus on lingerie and menstrual care product advertisements primarily targeting female consumers. Historically, lingerie ads have emphasized the objectification, sexualization, and commodification of women, portraying them as passive objects of male desire, thereby exacerbating anxieties surrounding appearance and body image. Similarly, early menstrual product advertisements perpetuated the notion of period shame, with many women adopting attitudes of avoidance, taboo, and shyness toward this natural physiological phenomenon, reinforcing negative stereotypes about femininity. In contrast, recent lingerie advertisements showcase a wider diversity of models, prioritizing functionality and comfort over sexual appeal, while menstrual care ads increasingly emphasize authenticity and body positivity. This study seeks to determine the extent to which contemporary advertising photography continues to reinforce or challenge traditional gender roles within visual culture through the construction of the ideal female image.
From “Chrysanthemum Terrace” to “Chinese Wedding”: The Evolution of the “Chinese Style” in Popular Music
Authors: Tian Yanan , Yang Ziqing
Published: December 2024

This article aims to explore the evolution of the “Chinese Style” in the Chinese music scene. Through a comparative analysis of two representative “Chinese Style” songs - “Chrysanthemum Terrace” and “Chinese Wedding” - in terms of lyrics, melody, harmony, arrangement, special instruments, and singing techniques, it reveals how the development and changes of “Chinese Style” popular music over different periods. This evolution demonstrates how ‘Chinese style’ has transformed from a more traditional expression with classical overtones to a style that is more integrated, culturally authentic, and modernized.
Causal Inference Analysis: Relationship Between Interest Rate and Housing Price
Authors: Liu Zhaoyang
Published: December 2024

In this research, the researchers are going to talk about the causal inference of interest rates on housing prices using a combination of causal inference techniques and predictive modeling. The researcher will introduce the basic introduction of causal inference, and four different rules-adjustment formulas, backdoor adjustment, front door adjustment, and collision situation- to identify the relationships between different variables, and based on these relationships, make a causal graph with causal direction. By employing decision-making trees and Vector Autoregression (VAR) models to predict the impact of interest rate changes on housing prices. This study offers insights into how fluctuations in interest rates influence housing markets, enhancing the predictive power and accuracy of macroeconomic decisions. The researcher collected data from the last ten years to make predictions and figure out the overall tendency of the housing market. Comparing the real data and the predicted data, finally figured out the importance of interest rates and exchange rates
Research on artificial intelligence-assisted magnetic resonance imaging: a review
Authors: Dong Li
Published: December 2024

Magnetic resonance imaging (MRI) has been widely used in clinical diagnosis since its introduction with its high resolution and unparalleled contrast imaging of soft tissues. The traditional MRI image analysis is highly dependent on subjective judgment and has the risk of misdiagnosis. The efficiency of human relied diagnosis is still needs to be improved. In recent years, artificial intelligence technology has developed rapidly and gradually involved in MRI image analysis. For example, the image segmentation algorithm, machine learning and deep learning are increasingly widely used in MRI image processing. This paper explores the use of traditional machine learning and deep learning models in MRI and focuses on their ability to extract advanced features, and performance of lesion detection and tumour classification. The advantages and disadvantages of traditional machine learning models such as support vector machines (SVM) and random forests (RF) and their applications are discussed. The deep learning models, particularly convolutional neural networks and generative adversarial networks, this paper focus on their principles and applications to assist MRI diagnosis.
The Return and Fulfillment of Emotional Needs of Chinese Female University Students Behind the Fan Economy Phenomenon
Authors: Gong Shiyu
Published: December 2024

With the rapid development of social media today, the fan economy has become an important part of the cultural industry, especially with a significant influence on female university students. This paper aims to explore the emotional needs of Chinese female university students behind the phenomenon of the fan economy and the deep logic of how these emotional needs are fulfilled through interactions with idols, as well as the social and psychological impacts of this phenomenon on them. The study delves into the multiple emotional deficiencies experienced by university students, how emotional compensation is achieved through symbolic interaction, and how this symbolic compensation strengthens fan loyalty, leading to the monetization of the fan economy. Through a quantitative survey and SPSS data analysis, the study found that university students reported higher emotional satisfaction, enriched emotional experiences, and improved feelings of alienation, security, and interpersonal relationships after engaging in fan behavior. The process of idol worship brought significant emotional value, with idols reflecting self-realization. In turn, this helped complete the students’ identity construction and clarified future development goals, fulfilling individual needs. The conclusion is that the fan economy, to a large extent, serves as a way for fans to please themselves, improve themselves, and advance their personal development.
Analysis of elastohydrodynamic lubrication of ball screw under the influence of load
Authors: Wu Mengjie
Published: December 2024

The lubricating oil film is crucial for the efficient operation of ball screws, as it significantly influences the adhesion and fatigue failure of the contact surfaces. This paper presents a comprehensive study on isothermal elliptical contact elastohydrodynamic lubrication (EHL) by developing a detailed model that examines the behavior of the oil film under various initial load conditions. Through rigorous analysis, we investigate the oil film pressure distribution and thickness variations, which are essential for understanding the lubrication performance in ball screw applications. Our findings reveal the nuanced relationship between load conditions and lubrication characteristics, providing valuable insights that can enhance the reliability and longevity of ball screw systems in engineering applications. This study aims to the broader realm of tribology through addressing critical lubrication challenges.
Research Status and Application Scenarios Exploration of Brain Computer Interface Chip Technology
Authors: Yue Zheyu
Published: December 2024

Brain-computer interface is a rapidly developing emerging field in the 21st century, with important applications in multiple disciplines. This article mainly discusses the research status and application scenarios of brain-computer interface chip technology, and analyzes the related potential risks and countermeasures. Neuralink has made progress in the research and development of brain-computer interface chips, and at the same time, other researchers are also improving the signal processing algorithm. Brain-computer interface chips are widely used in the diagnosis and treatment of limb movement disorders, cognitive disorders, mental illnesses, sensory defects, epilepsy, and neurodevelopmental disorders. However, this technology has potential risks in terms of chip lifespan, stability, popularity, and ethics, which need to be addressed through countermeasures such as designing stable chips, conducting biocompatibility studies, improving cost-effectiveness, strengthening data protection, and formulating relevant laws and regulations. In conclusion, brain-computer interface technology has great development potential, but it needs to be fully studied in many aspects to ensure its healthy development.
Applications of Fourier Series on Signal processing and Heat conduction
Authors: Zeng Zhixiang
Published: December 2024

This paper explores the application of the Fourier series in mathematical analysis and its significant impact on scientific fields such as signal processing and heat conduction. The study emphasizes the utility of Fourier series in decomposing complex functions into simpler trigonometric components, which facilitates the analysis of periodic functions. A primary focus is on the series’ role in approximating square waves in signal processing, demonstrating its effectiveness despite challenges like the Gibbs phenomenon. Additionally, the Fourier series is applied to solving the heat equation, where it models the evolution of temperature distribution over time in a medium. Techniques to improve convergence and mitigate oscillations, such as corrected Fourier series and summation methods like Cesàro and Fejér summation, are discussed to enhance the accuracy of approximations in cases with discontinuities. The results underline the Fourier series’ versatility in representing and analyzing both smooth and discontinuous functions, showcasing its importance in theoretical and applied mathematics.
Research for the Relevant Factors and Influence on Students’ Mental Health
Authors: Jin Xuan
Published: December 2024

The mental health of students has been receiving more and more social attention. This article explains that the student’s mental health has a wide influence, including but not limited to the academic aspect, social economic consequences, and public opinion. By organizing the existing literature, they summarize the important influence of focusing on students’ mental health and some bad behaviors caused by negative minds. Meanwhile, speculating the relevant factors of students’ mental health. The researchers use different ranges of data and methods to find and verify some factors that have a close relationship with students’ mental health. Some specific conclusions have concluded that mental health is related to the frequency of physical exercise, social media, and academic stress. By enumerating related factors, this article sums up reasonable education suggestions and prevention suggestions and emphasizes that society, schools, and families have the responsibility to pay attention to the prevention of mental illness. The aim is to help the follow-up research to develop and put forward some practical recommendations based on the existing conclusions. At the same time, this paper points out that the range of data collected in relevant studies is generally small, and these studies do not consider the factors in different aspects. This might cause errors in conclusions or inadequacy for general generalization. Follow-up researchers can target these issues, the sample from different districts and schools, and use weighted analysis methods to conclude. This will make the conclusions more general.
The Impact of Social Media Use on Adolescents’ Celebrity Worship
Authors: Lin Fangyu
Published: December 2024

Social media has emerged as the primary means by which adolescents communicate, express themselves, and get information in recent years. Adolescents are increasingly worshiping celebrities at the same time. The aim of this study is to determine how adolescents’ celebrity worship and social media use are related. A questionnaire survey was conducted to collect data from 157 Chinese adolescents aged 14 to 24. The study measured the participants’ use of social media and degree of celebrity worship using the Celebrity Worship Scale (CWS) and the Social Media Use Integration Scale (SMUIS). The results show that adolescents’ use of social media and their admiration for celebrities are strongly positively correlated. Additionally, the study discovered that older adolescents were less likely to adore celebrities and that male adolescents used social media more than female adolescents. Understanding how social media influences adolescents’ social cognition and behavior patterns is greatly aided by this study. It provides insights for parents, educators, and policymakers to help guide adolescents to use social media healthily and cultivate a rational attitude towards celebrity worship.
BHs and GWs: Leading frontiers in astrophysics
Authors: Zhu Dongheng
Published: December 2024

This article introduces the black holes as one of the most important objects in the universe, the existence of BHs has an important impact on the generation of GWs. GWs are ripples caused by changes in the curvature of space-time, and their source is closely related to the accelerating motion of large celestial bodies. This paper discusses the role of GWs in the evolution and development of black holes, and analyzes the effects of black holes with different masses and spins on GW signals. By analyzing data captured by GW detectors, we have revealed how merger events between black holes provide important information about the nature of BHs and the evolution of the universe. In addition, the potential contribution of future development of detection techniques to deepening the understanding of the relationship between BHs and GWs is discussed. The results show that BHs are not only the source of GWs, but also an important window into the deep structure of the universe.
Feasibility Analysis on Producing Higgs Boson via Particle Collisions
Authors: Yang Yueer
Published: December 2024

As a matter of fact, with the rapid development of accelerators techniques in recent years, lots of new particles have been observed contemporarily. Among various observed novel particles nowadays, Higgs Boson production is one of the most attracting one. With this in mind, this study presents feasibility analysis on producing Higgs Boson via particle collisions based on various sets of experiments. To be specific, this study will outline the objective of studying the feasibility of producing HBs via particle collisions, emphasizing the experimental approaches used, theoretical calculations, as well as potential implications. According to the analysis, the current observation results are analyzed and evaluated. Based on the evaluations and estimations, this study presents the current limitations in terms of various fields as well as demonstrate the prospects for further research. Overall, these results shed light on guiding further exploration of Higgs Boson as well as offer a guideline for improvements.
Prediction and Analysis of Influencing Factors of Heart Disease
Authors: Cao Hanwei , Liu Chang , Wu Bowen , Wu Yilin
Published: December 2024

Cardiovascular disease, the leading cause of morbidity and mortality, affects more than 523 million people worldwide. Cardiovascular disease characterized by an insidious onset, long latency period, and complex, variable presentation, poses significant challenges to recovery post-onset. Patients often suffer from irreversible organ damage due to delayed treatment, which not only severely threatens their lives but also exacerbates medical and economic burdens. In this research, the methods of logistic regression and random forest were used to identify the influencing factors. The dataset includes 303 clinical cases and 14 variables such as chest pain type, fasting blood sugar level, serum cholesterol, and so on. The outcomes demonstrate that the overall prediction accuracy of the research model is 85.15%. Thus, this model will assist primary care personnel to recognize heart disease more easily, accurately, and earlier, and to provide a scientific basis for clinical prevention and treatment, reducing the medical and economic burden on patients.
Application of Graphene Composites in Flexible Electrons
Authors: Zhao Ke
Published: December 2024

With the development of science and technology, graphene materials have come into the public view, especially in flexible electronics and play a key role, which has attracted the public’s attention. Because of its good electrical conductivity, high light transmittance and good flexibility, it has a high application value in the research and development of supercapacitors and epidermal electronics.This paper summarizes the structure and properties of graphene, discusses the application of graphene in supercapacitors and other aspects, describes the research progress and direction of graphene composite in flexible electrons in recent years, and the future development and prediction of graphene composite in flexible electrons. It is found that graphene has significant technical advantages and broad application prospects in the field of flexible electronics. The future prospects of graphene are still broad, and the joint efforts of scientific research and industry are expected to promote the further development and wide application of graphene technology.
Differences in Preschool Education Funding between the East and the West in China
Authors: Chen Shunjia
Published: December 2024

Pre-school education is an important part of the national education system, it is an important stage for children to lay the foundation for lifelong learning and all-round development. However, there are obvious differences in population, number of kindergartens, and teacher level between the eastern and western regions, which has caused a shift in the country’s investment in education. The eastern provinces have a high level of urbanization, close to the coast, and occupy geographical advantages, most of the investment in education funds is higher than that of the western provinces, and the education level is also ahead of the west. To balance the differences in education between regions and improve the inclusive system of preschool education, the country should increase investment in education in key western provinces to optimize educational resources and reduce information gaps. Promote education legislation to enhance the social status of rural teachers, while establishing a “compensation” type of fiscal fund transfer payment system to increase the income of low-income groups, to balance the problem of regional funding differences.
A Subcultural Comparative Analysis: The Case of China, Japan, and Korea
Authors: Lu Ziying , Tang Zihan , Wang Zoe
Published: December 2024

As influential nations in East Asia, China, Japan, and South Korea have made significant contributions to both regional and global popular culture. The modern Hanfu movement in China, the ACG (Anime, Comics, and Games) culture of Japan, and the K-pop phenomenon of South Korea are representative of each country’s distinct popular culture, attracting worldwide attention. This study aims to explore the perceptions of the Chinese public towards these three subcultures. The reasons underlying their views are also discussed. A reaction time experiment was conducted to provide quantifiable and precise outcomes. Stimuli consisted of images representing each culture, accompanied by descriptions using positive, and negative words. Participants were asked to judge whether they agreed with the combinations of images and descriptions. Reaction times and choices were used to gauge their attitudes towards the subcultures. Data analysis revealed that Chinese participants showed a very positive perception of the modern Hanfu culture based on higher positive scores and a shorter reaction time. Conversely, their impressions of K-pop were less favorable, with the highest negative scores. The score towards ACG culture is between Hanfu and K-pop. However, people are less familiar with ACG culture due to the longest reaction time. Age-based categorization indicated that younger individuals had higher awareness for all three subcultures, and their overall attitudes towards subcultures were more positive comparing with the older groups. Previous studies have inadequately addressed subcultures as specific topics. This research not only fills a gap in the academic research of East Asian subcultures but also provides a novel methodology. It provides an updated understanding of East Asian cultures and promotes an inclusive perspective on cultural diversity.