bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of Intergenerational Parenting on Children's Attachment Behaviors: The Mediating Role of Basic Psychological Needs
Authors: Shen Qianling
Published: January 2025

Intergenerational parenting which affects children's attachment behaviors has become one of the major forms of family education in China. The attachment behaviors that are typically observed in close relationships are associated with basic psychological needs. To explore these relationships, this study investigates how intergenerational parenting and basic psychological needs affect children's attachment behaviors. Structural equation modeling was used to analyze what is developed by the proposed hypotheses. There were 300 primary school students participating in this study. The Kens Security Scale, the Chinese version of the Basic Psychological Needs Scale, and the Grandparenting Styles Questionnaire were used. Trust-encourage style and affection-wormed style were positively associated with basic psychological needs and attachment behaviors, but indulgence style but authoritarian and neglecting styles were negatively correlated with basic psychological needs and attachment behaviors. Basic psychological needs were positively correlated with attachment behaviors and mediate the effects of different styles of intergenerational parenting on attachment behaviors. Five intergenerational parenting styles influenced children’s attachment behaviors by mediating basic psychological needs differently. This study also demonstrated the direct influence of intergenerational parenting on attachment, in turn, gives reference to the advancement of children’s attachment behavior.
The Evolution of China's Environmental Protection Policies from a Sustainable Development Perspective
Authors: Wang Zhiguo , Min Kwisik
Published: January 2025

This study examines the evolution of China's environmental protection policies from a sustainable development perspective, analyzing their development across five distinct stages from 1972 to the present. Through comprehensive analysis of policy transformation, stakeholder dynamics, and institutional changes, the research reveals the complex interplay between domestic and international factors shaping China's environmental governance. The study identifies key transitions in policy approach: from passive response to active participation, from single pollution control to systematic construction, and from administrative command to multi-stakeholder governance. The research highlights significant challenges in policy implementation, including local-central government tensions, economic-environmental balance conflicts, and public participation limitations. The findings demonstrate that optimizing institutional structures and strengthening social security systems are crucial for enhancing the effectiveness of China's environmental protection efforts.
Design of 3D-Printed Prosthetics for Disabled Pets
Authors: Wang Ronghan
Published: January 2025

Pets play a vital role in human lives, yet approximately 10% of pets in the EU and USA are disabled, facing challenges with traditional prosthetics due to high costs and surgical risks. This study explores the application of 3D printing technology to develop customizable and affordable prosthetics for disabled pets, focusing on dogs. By leveraging advancements in material science, biomechanics, and veterinary medicine, the research designs a multidisciplinary framework for creating prosthetics that are more accessible and comfortable. Preliminary findings indicate that 3D printing significantly reduces production costs and time while enhancing functionality and aesthetics. This study aims to improve the quality of life for disabled pets and contribute to the broader field of assistive technologies.
The Use of Music Therapy in the Psychological Counseling of College Students
Authors: Yi Wang , Muralitharan Doraisamy Pillai
Published: January 2025

With the increasingly fierce social competition, the psychological pressure of college students is increasing, and psychological problems are gradually coming to the fore. Music therapy, as a kind of non-pharmacological treatment method, has gradually been emphasized in the field of mental health in China. The purpose of this paper is to explore the application of music therapy in the psychological guidance of college students and analyze its effectiveness and advantages. Firstly, this paper provides an overview of the basic theories of music therapy, including the definition, development, principles and methods of music therapy. Secondly, by analyzing the sources of psychological pressure and the current situation of psychological guidance for college students, this paper elaborates the advantages of music therapy in psychological guidance for college students. Then, this paper introduces the application practice of music therapy in college students' psychological guidance in detail, including program design, implementation process and effect evaluation, combined with actual cases. Finally, this paper summarizes the use of music therapy in the psychological guidance of college students and puts forward the prospect of further research.
The Impact of Emotion Regulation Strategies on Adolescent Mental Health: Interactions of Family and Society
Authors: Eva Yifan Li
Published: January 2025

Emotion regulation plays a critical role in adolescent mental health. Adolescents are in a transitional stage, facing emotional challenges as they develop. In the United States, a leading nation globally, many adolescents struggle with mental health problems such as anxiety, depression, and emotional instability. These challenges significantly impact their personal growth and the nation's future development. Families and society play key roles in shaping adolescents' emotional well-being, yet there is limited research on how these two factors interact. This paper explores the factors contributing to adolescents' emotional problems, particularly the influences of family and society, and suggests innovative strategies to help adolescents improve their emotional health. Research questions include: How do family and societal factors influence adolescent emotion regulation? What strategies can help adolescents overcome emotional challenges? This paper argues that family and society interact in significant ways to influence adolescent mental health, and integrating these insights can lead to better emotion regulation strategies.
STM32 microcontroller-based automated control system for high-throughput cell sphere culture chips
Authors: Li Jiangshan , Qing Ziyi
Published: January 2025

3D cell culture technology has gradually become a hotspot in biomedical research in recent years, traditional cell culture methods are complex, inefficient and unable to simulate the three-dimensional structure of cells in vivo and extracellular plasmic interactions, high-throughput screening (HTS) technology and automation technology is a necessary technology for modern biomedical research, and the automated cultivation devices on the market are generally larger and more expensive, which are not suitable for the promotion of laboratory. In this paper, a microfluidic chip automation control system based on STM32F103C8T6 microcontroller is proposed, which integrates lifting, oscillating and suctioning devices, realises the full automation of the cell culture process, and significantly improves the culture efficiency, and is compact and lightweight, suitable for laboratory promotion, which greatly saves the financial and material resources of researchers. This study provides important technical support for the automation and high-throughput development of cell culture technology.
Treasures of Opera Art: A Study of the Aesthetic Features in Puccini’s Works
Authors: Xu Yiwen
Published: January 2025

Giacomo Puccini is a great master in the history of Italian opera. His works not only have profound artistic value in music creation, but also show rich aesthetic characteristics. Puccini's opera works are famous for their lyricism, drama and exquisite description of music. This paper discusses the aesthetic characteristics of Puccini's opera works, analyze his creative style, musical characteristics and the expression of piano accompaniment, and reveal how these characteristics make his works transcend the times and become the treasure of the world's opera art.
Case Study of the Principle of Syntactic Linearity in Chinese-English Interpretation
Authors: Yang Maowen
Published: January 2025

The importance of language in the development of human society cannot be overstated. The diversity of languages and the urgency of cross-cultural communication have given rise to the work of translation. In today's world, all countries are committed to international exchanges and cooperation in order to seek better development for both sides. Among them, international conferences are one of the effective ways to carry out international exchanges. The differences in the languages of different countries have led to the emergence of the discipline of conference interpreting, which is an important support for cross-cultural communication, and interpreters are the bridge and link for communicating with people of different cultures and languages. Psycholinguistic research on the process of language comprehension shows that people tend to follow the principle of immediacy in their understanding of linguistic input. According to this principle, when we hear or see a word, phrase or sentence, we tend to quickly take into account the specific linguistic context of the moment, extract the representation of the meaning of the linguistic expression from long term memory, recognize its specific reference, and make an immediate interpretation. In this paper, Hua Chunying's speech at the International Symposium on the 130th Anniversary of the Asia-Pacific Week and the Founding of the Hague Conference on Private International Law is selected as an interpretation case, and through observing the translation results of senior interpreters, it is found that the principle of sentence-drivenness has universal applicability in conference interpretation. The detailed analysis of the text case following the principle of sentence-driven interpreting is conducive to guiding the interpreters to pay attention to the application of the principle of sentence-driven interpreting in the future practice, and suggesting them to combine with certain translation skills to improve their interpreting ability continuously.
The Significance of the ‘I Move’ in Teacher Talk: A Comparative Analysis of Teacher Question in Two Video Recordings
Authors: Zhai Mingshi
Published: January 2025

This study explores the significance of the ‘I move’ in teacher talk through a comparative analysis of teacher questions in two video recordings of classroom interaction. This research identifies various types of moves and specifically focuses on types and functions of ‘I moves’ in teaching process, which is based on IRF structure. Three types of moves can be observed in both video recordings, including initiation, response and feedback. This study has divided teacher questions in ‘I moves’ into two categories to analyze the types and functions of ‘I moves’. First of all, this study identifies the ‘I moves’ in classroom interactions in both video recordings, including open-ended, closed, probing questions and directive statements. On the other hand, this study examines how different questions types are employed by teachers, including wh-questions, yes/no questions, checking questions, display questions and referential questions. This research provides insights into effectiveness of various questioning strategies in creating active learning environment. The findings suggest that strategic use of ‘I moves’ can significantly enhance learner participation and comprehension, contributing to more effective teaching practices.
Exploration of the Minimalist Aesthetic in Geometric Form Language in Oil Painting
Authors: Liu Weiguo
Published: January 2025

This study, which is entitled "Exploration of the Minimalist Aesthetic in Geometric Form Language in Oil Painting," investigates the way in which geometric form language accomplishes minimalist aesthetics in the oil painting. Based on the theory of geometric form language and minimalist aesthetics, the analysis in the article explores the visualization of the concepts discussed such as simplicity of form, purity of color, equilibrium in the composition, and the connectedness of the artist to conceptually new approaches in art production. The paradigmatic artworks of Piet Mondrian, Kazimir Malevich, and Mark Rothko are exemplified to illustrate the inbred correlation of geometric form language and minimalist aesthetics. The study establishes that the geometric form language which is expressed with simplicity and clarity not only beautifies the piece formally but also embeds it with deep thought and conceptuality. The aim of this paper is to look at oil painting from new and different angles while at the same time discussing abstractly the potential of geometric form language in contemporary art.
Using Point Clouds for Creating a Digital Model of an Existing Building and Its Application in Mechanical Systems Maintenance -Systematic Review
Authors:   BIMM Master student at the Syrian Virtual University, Damascus, Syria, Rawan Rawan ,   BIMM Programme director at the Syrian Virtual University, Damascus, Syria,   Supervisor Professor at the Syrian Virtual University, Damascus, Syria, .. Sonia , Darwish Samer
Published: January 2025

This research addresses the challenge of creating accurate 3D BIM models for existing buildings using laser scanning and point cloud technologies, enabling effective documentation, management, and use in mechanical system maintenance. The study also aims to assess the integration effectiveness of these technologies with BIM software in facility management, shedding light on challenges related to workforce and resource shortages for their implementation. It emphasizes the importance of raising awareness about the benefits of using point clouds and their applications to enhance maintenance operations and building sustainability, thereby enhancing the ability to make informed technical and economic decisions to achieve comprehensive maintenance goals.
How Does Emotion Impact Sports Performances?
Authors: Ma Chingyuen
Published: January 2025

This paper examines the significant impact of emotions on sports performance, exploring both positive and negative emotional states and their influence on athletic outcomes. Emotions, as complex affective states, shape perception, judgment, and behavior, making them a critical focus in sports psychology. Utilizing the Individual Zones of Optimal Functioning (IZOF) model, we assess how athletes perform best within unique emotional ranges and how deviating from these zones can hinder performance. Positive emotions, fostering openness and flexibility, generally enhance performance up to a certain intensity, while excessive levels may backfire. Conversely, negative emotions like stress can impair focus but, when controlled, may serve as performance challenges. The paper delves into emotional intelligence, emphasizing its role in helping athletes recognize, manage, and leverage their emotions for peak performance. Practical applications are proposed for coaches and teams, including emotional monitoring, team-based identity building, and mental training techniques. Future research directions advocate for integrating technology in personalized emotional training, alongside considerations of cultural contexts, to refine athlete performance in high-pressure environments.
The Implementation Date and Disclosure Date in China's Securities False Statements
Authors: Yang Ziyue
Published: January 2025

Since the issuance of the Securities Law of the People's Republic of China as amended in 2019 and the Provisions of the Supreme People's Court on Hearing Cases of Tort Compensation for False Statements in the Securities Market as amended in 2022, the standards for identifying the implementation date and disclosure date have been gradually improved. But faced with a variety of judicial cases, relevant laws and regulations are still inadequate. This paper makes a comparative analysis of the theories and judicial cases of execution day and disclosure day with the ideas of various scholars, some suggestions on the improvement of the theory of implementation day and disclosure day are put forward. It is hoped that it will be helpful to determine the scope of damage compensation in the false statement of securities in our country.
Research on the Creation of Female Characters in Animation from the Perspective of Gender Narrative
Authors: Jia Hanzhi
Published: January 2025

With the continuous improvement of global gender equality awareness, the application of gender narrative perspective in various cultural works has gradually received attention, especially in the popular culture form of animation. The shaping and performance of female characters has also ushered in unprecedented changes. This study aims to explore the creative evolution of female characters in animation from the perspective of gender narrative. By comparing animation works from different periods and different cultural backgrounds, this paper analyzes the changes in female characters in terms of gender, role positioning, and personality setting. At the same time, this study will also focus on the diverse shaping of female characters in contemporary animation, and how to reflect gender equality and female autonomy in plot settings, gender relations, and role interactions. Specifically, the paper conducts research from the following aspects: the typical image of female characters in traditional animation, and analyzes the commonalities behind them; secondly, explores the transformation and diversification of female character images in recent years, and how to reflect the progress of gender cognition and the changes in social values; finally, combines with specific cases, it analyzes how gender narrative affects the shaping of female characters in the process of animation creation. Through these studies, this paper hopes to reveal the importance of gender narrative in animation creation, and provide theoretical support and creative reference for more equal and diverse gender performance in future animation works.
The Influence of Information Cocoon Effect on the Spread of Feminism: Taking Douyin as an Example
Authors: Zhu Yizhen
Published: January 2025

The rapid expansion of social media platforms has provided new avenues for feminist discourse, enabling broader public engagement and visibility. However, algorithm-driven environments like Douyin (Chinese TikTok) introduce the information cocoon effect, which reinforces user biases by tailoring content to their preferences. This study investigates how these algorithmic constraints impact the dissemination of feminist content, shaping public perception and influencing the strategies of feminist creators. Using literature review and case study methods, the paper examines the effects of Douyin's recommendation algorithms on feminist narratives. It explores how feminist creators navigate the platform's algorithmic and audience-driven challenges, addressing the tension between generating visibility and delivering substantive, intersectional feminist discourse. The findings highlight the limitations imposed by the information cocoon effect, which prioritizes superficial, sensational content, thereby narrowing feminist perspectives and perpetuating misconceptions. The study underscores the importance of quality-driven, inclusive content strategies in breaking through these constraints to foster meaningful discussions and promote gender equality in digital spaces.
The Pan-Asian Railway: Opportunities and Challenges
Authors: Yang Zhuoran
Published: January 2025

This study explores the profound impact of the Pan-Asian Railway (PAR) on Southeast Asias economy, regional security, and geopolitics. As a key part of Chinas Belt and Road Initiative, the railway improves regional infrastructure, boosts trade, tourism, and industrialization, particularly by reducing transportation costs and enhancing exports. The project has strengthened regional security cooperation, especially in combating drug trafficking and cross-border crimes. Chinas influence in Southeast Asia has grown through economic and political ties, furthering its geopolitical presence in the region. Despite significant economic benefits and regional integration, the Pan-Asian Railway faces challenges such as environmental impact, financial sustainability, and geopolitical tensions. The success of the project will depend on political cooperation, environmental safeguards, and effective financial management in the future.
Analyzing Lu Xun's View on Love in Regret for the Past from a Social Perspective
Authors: Guan Pinyi , Wang Xueyao , Yao Ziyan , Zheng Rudan
Published: January 2025

During the May Fourth Movement, Enlightenment thought swept through China, and at that time, most young people and intellectuals were influenced by it, leading to the liberation and development of their thoughts. This study focuses on the advanced views on marriage and love of that era, particularly using Mr. Lu Xun as an example. It analyzes the views on love revealed in his literary work Regret for the Past and examines its connotations from various social perspectives, including the historical context of the time. In conclusion, Lu Xun's view on love is complex and profound, encompassing both the pursuit of ideal love and criticism of real-life dilemmas. His works re-examine love, revealing the poison of feudal thought on individuals, reflecting a critique of traditional views on love, emphasizing individual freedom and liberation, pondering how to keep love fresh, focusing on the status of women, and also revealing the close relationship between love and society. Furthermore, they analyze the profound impact of his views on love on modern concepts of marriage and love and modern society.
The Transmission and Development of Beijing Local Culture in Traditional Quadrangle Courtyards: A Comparison with Japanese Samurai Residences
Authors: Zhang Heyan
Published: January 2025

Quadrangle courtyards have been the main living spaces for Beijing residents since the Ming and Qing dynasties, serving as a cultural calling card for Beijing and embodying the local culture and architectural features of the city for nearly a thousand years. This paper examines the unique traditional culture of the Beijing area through the study of Tan Zongjuns former residence and his hobbies, focusing on the inheritance and development of culture in the new era. It also compares with traditional Japanese architecture, such as the samurai residences. Through the research and comparison, this research finds that the quadrangle courtyard, as a place of residence for ancient and modern people, can not only reflect peoples class status but also their way of life. Although the construction of the quadrangle courtyard shares similarities with the culturally similar Japanese samurai residences, it still has its own uniqueness.
Analysis of the Black Population Flow in China and the United Kingdom
Authors: Shi Guanhao
Published: January 2025

In recent years, an increasing number of black population has flowed into China and the United Kingdom. By viewing the impact of black people in China and the United Kingdom through the deaths of black people in Guangzhou, China in 2009 and 2012, this paper draws on books and reviews past cases to analyze the differences between the two countries. Some of the data comes from web pages, while others are found in books. The research results include: firstly, whether they have contributed to society and how they are living in the new country; secondly, studying their social status, achievements in different fields, assistance to the country, and household registration migration; thirdly, black people are now distributed in various countries with different purposes, but they are all helpful and make contributions to this country they live. This paper may offer some references for the population flow research in other countries.
The Role of the Teacher in Moral Education: Neutrality and Emotional Involvement
Authors: Yan Yangtian
Published: January 2025

Whether teachers should remain neutral or engage in emotional communication in moral education has become widely discussed in modern education. Moral education is about students' cognitive development and understanding of social norms and personal values. Some scholars argue that teachers' emotional engagement helps stimulate students to think deeply about and internalize moral issues, while others emphasize the importance of neutrality to avoid the imposition of values. However, complete neutrality is difficult to achieve and may undermine the effectiveness of moral education. By combining the views of different scholars and analyzing the roles of neutrality and affective engagement in moral education, this study finds that the teacher's role in moral education lies not only in imparting cognitive principles but also in facilitating meaningful value-based interactions between students and teachers. Teachers should moderately display emotions and values while maintaining rational thinking, thus encouraging students to develop deeper cognitive and emotional engagement. Ultimately, the study concludes that moral education is about teaching moral theories and stimulating authentic reflection and internalization of moral issues through teacher-student interactions to achieve all-around moral growth.
From Connection to Isolation: The Role of TikTok Algorithmic Personalization in Computational Media and Cross-cultural Communication
Authors: Yin Jue
Published: January 2025

With the popularity of social media platforms, recommendation algorithms play an important role in user content exposure. However, while the personalized recommendation mechanism of the algorithm may promote cross-cultural communication and understanding, it could also strengthen information barriers and affect users' cultural cognition and cross-cultural communication ability. This paper focuses on TikTok's recommendation algorithm and uses a related studies analysis method to explore its impact on multicultural content exposure and cross-cultural communication. According to the findings of numerous related studies, TikTok's algorithm enhances the probability of users being exposed to specific cultural content through strengthening interest - based matching. Moreover, TikTok's algorithm restricts the extensive dissemination of cross - cultural content on account of its "loneliness effect", thus diminishing the depth and quality of cross - cultural understanding. This paper has revealed the two-sided nature of recommendation algorithms in cross-cultural communication and provides inspiration for improving algorithm design and promoting cross-cultural communication.
Age of AI: Explore the Role of AI in Personalized Learning
Authors: Li Chenyue
Published: January 2025

Nowadays, the relationship between artificial intelligence and learning has received wide attention. However, there is still insufficient research on the relationship and application of artificial intelligence and personalized learning. This paper analyzes the relationship between the current artificial intelligence tools and personalized learning and the future application prospects of AI tools in personalized learning. The analysis of this paper shows that the current AI tools have been widely used in the learning process of students, and the use of after-school learning accounts for a higher proportion. In addition, when students use AI tools in their learning process, the role played by AI tools is not highly related to personalization. And the current AI tools still have certain shortcomings, and further improvements are needed to promote his application in personalized learning. Based on this, this paper puts forward the following suggestions. The first step is to strengthen the use of AI tools in the classroom so that they can participate in the whole process of personalized learning. In addition, AI tool developers should improve the flexibility of AI tools and add corresponding new functions in response to the needs of the education industry. Finally, schools should guide to enable students to use AI tools more effectively in the process of personalized learning and introduce policies to avoid academic misconduct caused by AI tools.
Explore Potential in Bridging of Neuroscience and Deep Learning
Authors: Wei Ziang , Liu Xiaoyu , Xie Tianxin , Wang Zoujizhong , Bian Wanyue
Published: January 2025

Neuroscience has tight connections with machine learning, but this relationship isnt so clear in deep learning. This review explores the bidirectional bridge between deep learning and neuroscience. It reveals how deep learning helps interpret the basic mechanisms of neuroscience and how neuroscience inspires AI scientists to improve algorithms. We review research using deep learning to investigate cognition portions, like grid cells, neuron-astrocytes, and hippocampus. Also, deep learning, mainly Transformers, is improved by modifying and combining with other models. Inspired by neurons, even a new model known as Thousand Brains is set up. Finally, we discuss the limitations revealed in how to translate biology action into algorithms. In the future, it is convinced combination of biology function and deep learning which is used to test multiple tasks is a feasible method to explore the basic mechanism of neuroscience and improve algorithms.
A Review of the Clinical Application of Endovascular Electrodes and Its Future Prospects
Authors: Zhang Zhao , Zhang Rui , Chen Zhimeng , Meng Jingran
Published: January 2025

Brain-computer interface (BCI) has been used to treat neurological diseases. Traditional BCI technologies are usually invasive and may damage neural tissue during implantation. However, endovascular electrodes (EE) are a promising solution to the above problem. They represent a minimally invasive neural technique that can reduce the risks associated with surgery and its complications. In this review, we summarized the research progress on EE technology in animal models and human clinical trials. In addition, we reviewed the development of devices that can enhance EE applications, focusing on the representative product StentrodeTM. Finally, we discussed the prospects of EE technology based on current experimental results. Early animal experiments have demonstrated the safety and viability of EE, while recent human trials have shown its potential in treating diseases such as paralysis. Besides, with the development of technology, EE may be applied in a broader range of areas. In conclusion, existing studies indicate that EE can overcome the limitations of traditional BCIs and suggest a wider use of EE in the future.
Optimization of Distributed UAV Swarm Placement for Target Localization Using Multiple Heuristic Algorithms Based on Compressive Sensing
Authors: Du Zeyu , Liu Luoyu , Zhou Hangyu , Chen Ziyi , Yao Yusen
Published: January 2025

Collaborative UAV swarms are increasingly deployed as temporary base stations in emergency situations to relay communications. This paper designs intelligent optimization algorithms, which minimizing mutual coherence within a region of interest (ROI) aims to solving challenge in these scenarios is optimizing the UAVs' locations to avoid mutual signal interference and ensure high communication quality. Minimizing mutual coherence reduces the likelihood of signal interference between UAVs. We explore various optimize algorithum, including Heuristic Search (HS) and Ant Colony Optimization (ACO) and so on. The results provide insights into each algorithm's performance in dynamic environments, helping to identify the most suitable approaches for UAV deployment in emergency scenarios. This study contributes to the development of efficient UAV deployment strategies, enhancing the reliability of UAV-based communication systems during critical events.
From sidelines to scoreboards: Regression modelling for predicting NBA game outcomes
Authors: Wang Yiming , Ji Haokang , Dai David
Published: January 2025

This research paper examines the diverse factors that affect score difference between teams in the NBA scene. With this intent, by utilizing data from the 2012-13 regular season, this research aims to develop a predictive model that can forecast the score difference between teams for the last 50 games of the season. Additionally, the same model can be expanded and used for many different seasons of NBA data. To accomplish this, the methodology implemented first involved a data collection process, where many years of injury data and NBA season data were gathered. Next, extensive cleaning was done so all the variable names matched, and only significant information remained. Then, by merging the injury data with data from the 2012-2013 NBA season, a larger, more comprehensive file was created. As last, through the use of regression modelling, a base model was created. In addition, factors impacting the score difference were considered and adjusted the model accordingly. To validate the final models prediction, actual score differences in the last 50 games will be compared to the differences given by the model, with statistical measurement methods to quantify the accuracy. By doing so, this research hopes to provide a more valuable system that produce insight towards basketball sports betting.
Analysis of the Accuracy of Reported Track Conditions Utilizing Predictive Modeling
Authors: Li Mohan , Yang Dian , Zhao Tianyu
Published: January 2025

Horse racing is a globally viewed sport in which the performance of horses may be influenced by numerous factors, with the condition and moisture in the racing surface, known as the "going," being one of the most influential. Accurate reporting of the going is essential for ensuring fair competition. This study aims to measure the accuracy of reported track conditions by utilizing a dataset from three racecoursesCatterick, Chester, and Newmarket. We first identified discrepancies suspected to be caused by rounding in reported distances in the data and corrected them by reverting them to officially sanctioned distances. We started with linear regression models to predict winning times, using key variables such as race distance, class of the race, and the reported going. Then we applied log transformation to the data to solve heteroscedasticity. The final model will be used to generate prediction intervals for winning times under each going conditions, allowing us to figure out which goings might be reasonable for a specific race. The results indicate that approximately 6-7% of races were outside of the calculated bounds, which may lead to errors in strategic decisions by trainers and bettors. By calculating the posterior probabilities of each going condition using Bayesian inference, we created a list of reasonable goings for each new race, giving trainers and bettors more accurate information so that they can better prepare for future races in the day.
Attempted Improvements on Existing Recommendation System
Authors: Li Yikai , Li Wentai , Su Weiran , Tang Yingkai , Miao Jingyu
Published: January 2025

This paper presents an exploration and enhancement of existing recommendation systems by addressing key challenges such as the cold-start problem and data sparsity. We propose DGSR++, a hybrid model that combines dynamic user-item interaction data with content-based features to enhance recommendation quality. Additionally, we develop MPKG lite, a lightweight knowledge graph embedding model, to mitigate cold-start issues. Besides, we also improved other models, such as GTN and ensembled learning. The paper also evaluates the performance of ensemble learning methods. Experimental results demonstrate the priority of DGSR++ in solving cold-start challenges and improving overall recommendation accuracy compared to traditional approaches.
Optimization Strategies for Low-Power AI Models on Embedded Devices
Authors: Zhen Tianqi
Published: January 2025

With the growing demand for IoT devices, developing low-power AI models on embedded systems has become increasingly important. However, the efficient implementation of AI models within the computational and battery limitations of these devices remains a significant challenge. This study addresses how model pruning and quantization compression techniques can reduce power consumption without significantly compromising model accuracy. The research method optimizes the performance of the three-color recognition model, organizes a dataset consisting of red, yellow, and green classification images, and pre-processes them to standardize the resolution and format. The research object is to use pruning and quantization techniques in combination to optimize memory and computational efficiency further. Experimental evaluation was performed on an Arduino Nano 32 with a camera model, TensorFlow Lite for Microcontrollers for deployment, and a power measurement tool to record energy consumption. The results demonstrate that these methods significantly reduce energy consumption while maintaining acceptable accuracy for real-time applications. This study provides practical optimization strategies for deploying TinyML on resource-constrained devices, offering valuable insights for low-power AI development in IoT and edge computing applications.
Clothes-changing Person Re-identification Based on Spatial Consistency
Authors: Zhang Mai
Published: January 2025

Address clothes-changing person recognition of other key is to extract the characteristics associated with human nature, for example, face, hair, body size and gait. At present, most of the research work mainly focuses on processing multi-modal information and fails to make full use of the information related to human nature in the original RGB images. In this paper, a viewpoint-based adversarial loss algorithm is proposed to mine visually relevant features from the original RGB images by punishing the predictive ability of the ReID model. A lot of experiments show that our model has achieved good results.
Enhancing Kalman Filter Performance for PPG Signal Denoising: Adaptive Integration of Accelerometer and Gyroscope Data
Authors: Ao Weixian
Published: January 2025

The monitoring of oxygen saturation (SpO2) for premature babies carries great importance, due to the highly required accuracy of oxygen therapy, which is used to prevent premature babies dyspnea. Motion artifacts, however, can influence the quality of the photo-plethysmograph (PPG) signal, causing imprecision. Through this study, the accuracy of PPG detection for newborns can be improved by applying the Kalman filter to restitute motion artifacts by using an accelerator and a gyroscope to build reference signals and adaptively adjust the parameters of the Kalman filter. A quantitative study is used in this investigation with relative simulations of Heartbeat Rate (HR) estimation based on filtered PPG signals. The results, on average, show an absolute error of 1.69 BPM, a relative error of 1.82%, and a standard deviation of 9.37 BPM. The great accuracy of the algorithm can improve SpO2 monitoring for newborns, further lowering the working pressure for medical workers. On the other hand, the standard deviation is relatively high, indicating that further work, such as improving the preprocess of signals or introducing machine learning, should be paid attention to.
Upaya Guru BK Melalui Teknik Self-Management untuk Meningkatkan Kematangan Karir Siswa SMK Ma’arif NU 1 Cilongok
Authors: Fahmi Fahrezi Fahmi , Wisnuaji Aditya , Budiyono Alief , Nurrahman Yudha Faki
Published: January 2025

This study aims to analyze the role of Guidance and Counseling teachers in enhancing career maturity among 12th-grade students at SMK Ma'arif NU 1 Cilongok through the implementation of Self-Management techniques. This research employs a descriptive qualitative approach with subjects consisting of vocational school students and Guidance and Counseling (BK) teachers. Data was collected through interviews, observations, and documentation, then analyzed using an interactive analysis model consisting of data reduction, data display, and conclusion drawing. The results indicate that Self-Management techniques, which include self-monitoring, self-reward, and stimulus control, are effective in enhancing students' awareness and abilities in career planning. The guidance program designed by the BK teachers helps students understand their potential, set realistic career goals, and take concrete steps toward their future. These findings highlight the importance of self-management training for students and the need for BK teachers' support in guiding them to achieve optimal career maturity. The implementation of these techniques is recommended to be integrated into the school curriculum with collaborative support from parents and industry stakeholders.
Tantangan dan Solusi dalam Penyediaan Infrastruktur Pendidikan di Daerah Terpencil
Authors: Salsabila Farah , Lailufar Hauna Fathiinah , Amanatin Ifah , Salsyabella Ratna Cahya , Sundari Siti Astria
Published: January 2025

This study aims to analyze challenges and solutions related to the provision of educational facilities and infrastructure in remote areas. This research is a literature study focused on the main theme, namely the challenges in the provision of educational facilities and infrastructure, the management of educational facilities, and the obstacles faced by remote areas, including limited infrastructure and human resources. The research stage starts from collecting, analyzing, and compiling information from various relevant literature sources, such as books, journal articles, research reports, and other related publications. The analysis is carried out descriptively by grouping information based on themes to facilitate conclusions. The results of this study propose several solutions that can be applied, including the development of basic infrastructure, the use of information technology, and the optimization of the education budget. In addition, increasing community participation, government support, and training of school managers are important steps to ensure equitable access to quality education. Collaboration between the government, the community, and the private sector is also expected to realize equitable and quality education throughout Indonesia.
Tantangan Pengelolaan Pendidikan di Sekolah Dasar: Peran Humas dalam Mengatasi Ketimpangan Partisipasi Masyarakat Terhadap Pembelajaran
Authors: Syaharani Adinda Regita , Faradila Esla Zahra , Nababan Indah Intansari , Hafiza Nadyne Dinda , Awaliyah Novia Aliestiani , Prihatini Prihatini
Published: January 2025

Education management in primary schools faces a major challenge in involving the community as an integral part of the learning process. The gap in community participation in primary school education is a major challenge in improving the quality of learning. This study aims to analyze the role of public relations as a liaison between schools and communities in overcoming this gap. The research was conducted through a literature review method by analyzing various relevant scientific sources. The study evaluates the role of public relations as a communication bridge between schools and communities to effectively convey educational information and encourage active community involvement in school activities. The results show that PR plays an important role in creating harmonious relationships between schools and communities through two-way communication strategies, the use of digital technology and the promotion of school programs. The implications of this study emphasize the importance of training public relations personnel and providing infrastructure to support inclusive and sustainable education management
Sekolah Pagi-Siang: Solusi atau Tantangan Bagi Pembelajaran yang Berkualitas?
Authors: Gumilar Dinda Amelia , Zahra Fanya Rachma , Rahmadini Rizqia , Zikri Shiva Aqila , Pujiyanah Tri Silviya , Prihantini Prihantini
Published: January 2025

Learning effectiveness is influenced by a number of factors, including educator competence, material quality, delivery methods, and study time allocation. In particular, study time has a significant impact on students' concentration and motivation, especially in the context of the implementation of the shift system in Indonesia, which divides study time into morning and afternoon sessions. This study aims to illustrate the importance of learning time management and its impact on student motivation, concentration, and learning outcomes. This study uses a literature study approach to analyze the influence of learning time duration and system shifts on learning effectiveness. The main source of data for this research is scientific artifacts published through the Google Scholar database. Data analysis was carried out qualitatively with the knowledge of data reduction, data presentation, and drawing conclusions. The results of the analysis showed that the morning session was more effective in increasing students' concentration and motivation than the afternoon session which tended to cause fatigue. Schools should pay attention to learning time and curriculum adjustments to create a supportive learning environment
Rendahnya Kontribusi Orang Tua dalam Meningkatkan Pendidikan Anak
Authors: Luthfiatunnisa Farah Fauziah , Nurfadillah Yoane Siti , Maghfira Rhaudya Zihan Esa , V Anggista Dwiana , Safitri Awalia , Prihantini Prihantini
Published: January 2025

The low contribution of parents in improving children's education has an impact on the academic, social, and emotional aspects of children. This study aims to identify the factors that cause low parental involvement as well as efforts that can be made to improve the role of parents in education. This study uses a qualitative descriptive method. Data collection techniques through observation of interactions between parents and children in the school environment. Data analysis is carried out qualitatively with the stages of data reduction, data presentation, and conclusion drawing. The research findings indicate that internal factors such as time constraints and understanding of education, as well as external factors such as culture and social pressure, are the main obstacles. Therefore, parent education programs, flexibility in school activities, and more effective communication between parents and schools are needed to increase parental involvement.
Pengelolaan Pendidikan yang Efektif: Tantangan dan Solusi untuk Masa Depan
Authors: Rahmawati Kesya Aprilia , Dewangga Puspa Calista , Nurlia Ririn , Setiawati Riska , Oktavia Rizqi , Prihantini Prihantini
Published: January 2025

Effective education management is key to building quality and sustainable education for the future, especially in the midst of the challenges of globalization and the current digital era. In this study, the main challenges in realizing effective education management such as budget and infrastructure limitations, gaps in access and quality of education, technological developments and digital access are discussed. This study uses literature studies on the challenges and solutions faced to realize effective education management.  Relevant sources related to the topic raised are obtained through Google Scholar. Data analysis uses qualitative descriptive analysis. Based on the results of the study, limited resources and gaps in access to education affect the equitable distribution of education quality and low technological infrastructure hinders creating innovative learning. To overcome the challenges in this study, solutions that can be done are discussed, namely optimizing the education budget, improving infrastructure and equitable access, improving the quality of teachers through teacher training, integrating technology in learning. With collaboration with schools with the government, the private sector, the community and other stakeholders, effective education management for the future can be realized