bluuebunny/crossref_metadata_2025 huggingface dataset:
Working Memory and Mathematics Performance
Authors: Ronney Raul Rifaie , Abu Bakar Mohamad Azhari
Published: January 2025

This study investigated the relationship between working memory and mathematics performance. It is a correlational study utilising experimental tasks to investigate the relationship, using backwards digit span task to test working memory and a simple maths quiz for maths performance. Thirty (30) participants from psychology undergraduates were involved. The result showed a positive relationship between working memory and maths performance based on total correct recall, whilst a negative relationship was found between working memory and maths performance based on total time taken. This indicates the existence of a significant relationship between verbal working memory and maths. Working memory is related to the mathematical aspects of manipulation of numerical value and the procedures involved in solving maths problems, thus more correct answers and lesser time taken with the increase of working memory level. Further study is recommended to explore the role of attention in working memory in retrieval speed of information as it is implied from the non-normal distribution of the data.
The Design and Development of a Gamification Teaching Methods Based on a Focus Group Interview
Authors: Xu Caixia , Abdullah Mohd Hassan
Published: January 2025

This article aims to explore the practical and theoretical basis of teaching Chinese folk songs through gamification teaching methods. This is a qualitative study that includes a focus group interview consisting of five experts with over ten years of experience in the field of music education. To determine the effectiveness of teaching methods, three experts evaluated teaching strategies in the fields of education, linguistics, and qualitative research. Use Cohen's kappa analysis to evaluate the consistency between evaluators. Research has found that a series of teaching projects have been developed based on six teaching constructs, which are feedback, competition, goals, collaboration, challenge, and fun. After the focus group interview, a new construction also emerged, cognitive reaction. This study suggests that teachers can use this teaching checklist for early identification and appropriate intervention of students, which has significant benefits for the education sector, teachers, and students themselves. Although this study was conducted in China, its results have broader significance as gamification teaching methods have the potential to be applied globally.
Artificial Intelligence in Academic Writing: A Literature Review
Authors: Guo Hui , Zaini Syaza Hazwani
Published: January 2025

Artificial intelligence (AI) has emerged as a transformative technology in education. This review focused on the intersection of AI tools and academic writing, addressing challenges such as plagiarism, language barriers, and feedback processes. The problem statement revolved around the increasing integration of AI in academic contexts, which offered opportunities for improved student learning but raised concerns over ethical issues such as plagiarism and over-dependence on AI-generated content. The purpose of this review was to critically review highly cited studies on the use of AI in academic writing, identifying AI tools and key findings. Research questions guiding this review included: 1) Which highly cited studies related to AI and academic writing, published since 2020, were identified as relevant? 2) Which AI had been utilised for academic writing? and 3) What findings had been reported in these previous studies? Methodologically, the review employed keyword searches in Google and Scopus databases to identify highly cited, open-access articles published since 2020. This resulted in the selection of 11 studies that spanned various AI tools in academic writing. Findings indicated that ChatGPT was the most frequently used AI tool, employed for tasks such as academic text generation, plagiarism detection, and language learning support. The review also highlighted ethical concerns, particularly regarding plagiarism, content accuracy, and the risk of over-reliance on AI. The implications were both theoretical and practical. Theoretically, this review demonstrated AI’s expanding influence in educational theory, especially in scaffolding learning for non-native English speakers. Practically, AI tools offered personalised feedback and enhance writing outcomes, though educators must implement these tools responsibly to prevent over-reliance. In conclusion, while AI tools showed great promise in improving academic writing, future research should address ethical concerns, enhance the accuracy of AI-generated content, and develop frameworks that balance AI assistance with the promotion of critical thinking skills.
Development of Neoteric Learning Modules for Year 3 Mathematical Geometry Topic: A Systematic Literature Review
Authors: Md Fauzi Muhamad Fakhrul Afiz , Md Junus Noor Wahida
Published: January 2025

The Neoteric Approach Curriculum is an experience and systematic educational plan based on a national curriculum that is more integrative and dynamic, covering knowledge, skills and values that are in line with local and global cultural norms and communities. (Academic of Laboratory School Education, 2020). The developed Year 3 Neoteric Learning Module integrates the subjects of Mathematics, Music and Physical Education. This study produced a year 3 mathematics learning module that has expert validity and applicability that achieves its effectiveness. Study design involved descriptive study design and quasi-experimental design. The sample for this study consists of Year 3 students of underserved schools (SKM) around Selangor and Perak. This study uses three research instruments, namely a questionnaire to test the reliability and validity of experts for the 3rd year mathematics module that has been built. The effectiveness of the module, pre-post-test will be conducted and requires pre-post-test study instrument. At the end of the study, the researcher hopes that this mathematics learning module, is able to help improve education in Malaysia by creating integrated learning to be more interesting and less burdened by a large syllabus. In addition, the researcher hopes that the findings of this study can provide a new perspective on the integrated education system that uses this neoteric approach.
Evaluation of Usability for Interdisciplinary Teaching Module for Enhancement of High-order Thinking Skills Among College Educators
Authors: Zhenduo Ding , Othman Mohd Syaubari
Published: January 2025

The main purpose of this study was to evaluate an interdisciplinary teaching module (IHTM) that had been developed, and this evaluation determined the usability of the module and its instructional objectives in strengthening the higher-order thinking skills of Chinese university students. The evaluation process involved a total of 37 teachers in interdisciplinary fields; these participants included 27 young teachers and 10 expert teachers. Descriptive analyses, comparative analyses, and Fuzzy Delphi (FDM)-based expert consensus were used to derive results in terms of the module's usability. Findings indicated the module's usability and usefulness in strengthening higher-order thinking skills, and the 10-member expert panel reached a consensus on the evaluation of the module's usability.
Pembangunan Permainan Periodicard dan Kajian Persepsi Bagi Topik Jadual Berkala Unsur
Authors: Anua Nur Afiqah , Wan Salleh Wan Mohd Nuzul Hakimi
Published: January 2025

Kajian ini dijalankan untuk membangunkan permainan PeriodiCard bagi topik Jadual Berkala Unsur serta mengenalpasti nilai kesahan kandungan dan konstruk soal selidik, kebolehpercayaan, dan persepsi guru pelatih terhadap kebolehgunaan permainan. Kajian ini menggunakan model ADDIE manakala instrument yang digunakan ialah borang penilaian kesahan kandungan permainan, borang penilaian kesahan konstruk soal selidik dan soal selidik persepsi kebolehgunaan permainan. Dua orang pakar telah dilantik sebagai penilai untuk menilai kesahan kandungan dan kesahan konstruk soal selidik. Responden bagi kajian rintis adalah 15 orang guru pelatih Ijazah Sarjana Muda Pendidikan (ISMP) Kimia Semester 7. Seramai 86 orang guru pelatih ISMP Kimia Semester 7 telah dipilih sebagai responden untuk mendapatkan persepsi terhadap kebolehgunaan permainan. Dapatan kajian bagi kesahan kandungan permainan ialah 77.8% manakala kesahan konstruk soal selidik ialah 94.1%. Nilai pekali Cronbach’s Alpha bagi kebolehpercayaan permainan ialah 0.914. Nilai min persepsi guru pelatih terhadap kebolehgunaan permainan bagi aspek reka bentuk adalah 3.81 (sisihan piawai 0.385), aspek kandungan adalah 3.81 (sisihan piawai 0.395) dan aspek kebolehgunaan adalah 3.78 (sisihan piawai 0.410). Kesimpulannya, permainan mempunyai nilai kesahan dan kebolehpercayaan yang tinggi termasuk nilai min bagi persepsi guru pelatih. Oleh itu, permainan PeriodiCard ini sesuai dan berguna semasa proses Pembelajaran dan Pemudahcaraan (PdPc).
ANÁLISE DE CAPTURAS HÍBRIDAS PARA HPV EM MULHERES COM LESÃO INTRAEPITELIAL CERVICAL
Authors: Meister Arnold Rufino Mirelly , Marson Meneguzzo Thaís , Amboni Canela Luana , Ross Martins Elizandra
Published: January 2025

Introdução: Sabe-se que a presença do HPV está intimamente relacionada ao desenvolvimento de lesões intraepiteliais cervicais. A fim de identificar a presença viral no organismo, utiliza-se a busca pelo DNA-HPV por meio do exame de captura híbrida. O presente estudo tem por objetivo avaliar achados de capturas híbridas e comparar com resultados do exame anatomopatológico de mulheres com lesão intraepitelial cervical em um centro médico de patologia diagnóstica. Métodos: foi a busca de dados secundários através da análise dos laudos de captura híbrida positiva para HPV, bem como do exame anatomopatológico sugestivo de lesão intraepitelial cervical. As variáveis utilizadas foram idade da paciente, laudo da captura híbrida e laudo do exame anatomopatológico. Resultados: A média de idade das pacientes estudadas foi de 30,14 anos, sendo que mulheres com lesão de alto grau tiveram média de idade maior. Quanto ao exame anatomopatológico, a maioria das mulheres tiveram lesão de baixo grau. O HPV de alto risco foi mais prevalente tanto nas mulheres com lesão de baixo grau quanto nas com lesão de alto grau. A sensibilidade da captura híbrida foi de 62,2%, especificidade de 28,9% e o valor preditivo negativo de 63,2%. Discussão: Os resultados obtidos foram inferiores aos da literatura, mas corroboram as diretrizes vigentes. Conclusão: O estudo sugere que a captura híbrida seja utilizada como método auxiliar ao diagnóstico e seguimento de mulheres com lesões cervicais.
Development of E-Handout Based on Audiovisual Fiqih Material for Women as an Effort to Provide Religious Character in Class IV Students of Primary Schools and Madrasah Ibtidaiyah
Authors: Zakiyatur Rofi’ah Firda , Silfiyah Khoirotus , Isnawati Putri , Shovia Mia
Published: January 2025

Education is a planned effort so that each individual is able to achieve various life achievements, including spiritual achievements. One of the religious characters is obedience to God Almighty. This character can be achieved if students have a good understanding of obedience material, one of which is women's jurisprudence. Based on observations, 78% of class IV students at SD Bojonegoro do not understand this material well. Apart from that, the content of material about women's jurisprudence in class IV students of primary schools and madrasah ibtidaiyah textbooks is very minimal, so accompanying teaching materials are needed. Then, students' interest in reading using books or worksheets is very low, students prefer to use devices, because there are videos, pictures and animations. Therefore, developing audio-visual based teaching materials via the Google site is considered very necessary. This teaching material is presented in electronic form by displaying videos, images and animations. This research aims to determine the results of the development of an e-handout on women's fiqh material. The research method used is the Borg & Gall model Research and Development (R&D) method. The results of the development of an audio-visual based e-handout on women's jurisprudence material were declared suitable for use. This is proven by the material expert validation results being 80% (feasible), the media expert validation results being 77% (valid category), and the language expert validation being 76% (feasible), then the question expert validation results being 86% (very feasible) and the student response results were 83% (very interesting).
Anticipating future explorations in science and technology literature for university liberal arts majors
Authors: Liu Jiexuan
Published: January 2025

Scientific literacy emerges as a vital competency for aspiring preservice educators, underscoring the need for a multidimensional approach to literacy that transcends disciplinary boundaries and fosters a holistic understanding of knowledge. This study investigates the borrowing behaviors of 4,864 students across the teacher education, fine arts, and psychology departments at Nanjing Normal University from 2014 to 2023. A total of 15,859 science and technology book transactions were recorded, culminating in an overall borrowing of 38,783. The analysis employs chi-square tests to explore the relationship between gender and borrowing frequency, particularly in light of the COVID-19 pandemic. A ranking of book categories based on the Chinese Library Classification System is conducted, and the findings are analyzed through SPSS to evaluate the degree of correlation among various levels of borrowing data. Correspondence analysis is utilized to visualize patterns in borrowing across different majors, providing insights into preferences for specific literature and resources. The study further delves into topological structures of borrowing practices using Gephi to create network diagrams, revealing statistical connectivity among readers within a major. Annual borrowing averages for science and technology books are calculated, and predictions for future borrowing trends are visualized using Excel scatter plots, facilitating an understanding of science and technology book reading of liberal arts students, as well as evolving academic resource utilization. The results highlight distinctive borrowing patterns and the impact of demographic factors on students’ library usage, contributing valuable insights to academic resource management.
Function of Fractional Calculus and Relationship Between Distribution Theory and Partial Differential Equations
Authors:   Department of Mathematics, Maharishi University of Information Technology, Lucknow, India, Pal Shilpa
Published: January 2025

Partial Differential Equations are fundamental mathematical tools used to model physical phenomena across various disciplines such as physics, engineering, and economics. Solving PDEs often involves the concept of distributions, which extends the classical notion of functions to more generalized objects. This paper provides an introduction to PDEs, outlines the basic concepts of distribution theory, and discusses their interplay in solving PDEs. and distributional derivatives its convergence with distributional solution with space D^' (Ω) its extended form with weak derivatives.
Spam Detection Using Natural Language Processing
Authors:   Amity School of Engineering and Technology Lucknow, Amity University Uttar Pradesh, India, Srivastava Aditya
Published: January 2025

In the digital age, where digital communication is omnipresent, the issue of spam remains pervasive, undermining the quality of user experiences, compromising cybersecurity, and posing significant challenges. This research paper is a comprehensive exploration of "Spam Detection Using Natural Language Processing". We traverse a multifaceted journey through the realms of spam detection, dissecting its crucial components and implications. Our investigation commences with data collection and preprocessing, discussing the intricacies of gathering diverse datasets and transforming them into analysable forms. Feature engineering takes center stage as we unveil the pivotal role of engineered features in distinguishing spam from legitimate content. Model building and evaluation form the core of spam detection, and we scrutinize various algorithms, techniques, and metrics that drive the development of effective spam detection systems. Challenges loom large in spam detection, from imbalanced datasets and evasion tactics to the perpetual struggle for false positive-false negative equilibrium. Privacy concerns and the legal landscape add further layers of complexity. Real-world applications span the gamut, encompassing social media moderation, review systems, chat applications, and more. We unearth how spam detection safeguards user interactions, maintains quality, and secures digital ecosystems across these diverse platforms. Finally, we gaze into the horizon of spam detection's future, envisioning trends such as deep learning dominance, multimodal detection, adversarial defense, and blockchain authentication. This research paper is a compendium of insights, strategies, and prospects, providing a holistic view of spam detection in the dynamic digital age.
Graphene Quantum Dots: Sustainable and Greener Synthetic Approaches
Authors:   Department of Chemistry, Kanoria PG Mahila Mahavidyalaya, Jaipur, Rajasthan India, Joshi Garima
Published: January 2025

Honeycomb crystal lattice graphene has proved to be a subject of a great deal of investigation over the previous decades owing to its intriguing electrical, optical and physical properties. Graphene identification imparts a significant lift and vital dimensions to nanotechnology and materials science. Graphene quantum dots (GQDs), a nanomaterial with zero dimensions (0D) demonstrated encouraging potential in biomedicine because of their really tiny and harmless nature, water solubility, outstanding biological compatibility, adjustable fluorescence, and photo resilience thereby gaining a great deal of interest in the biomedical sector. GQDs wide bandgap and their flexibility to engineer its bandgap over an extensive range and carrier selectivity play a major role in catalysis and energy applications. There are wide range possibilities for new applications due to their unique structure – related features such as optical, electrical, physiochemical qualities and exceptional biocompatibility when compared to other nanomaterials. They have gained tremendous attention along with other graphene derivatives in the last few years. Therefore, the development of GQDs became a remarkable catalyst for the utilization of graphene. Top down as well as bottom-up methodologies are applied for production of GQDs. Sustainable synthesis of GQDs has a variety of advantages, including the least cost and noncorrosive material, faster reactions, environmentally conscious resources, and simpler post-processing procedures than with synthetic methods. In this review, we have compiled a few of the green methods utilized by various research groups worldwide, for the green synthesis of GQDs and some of its biomedical applications.
Performance Evaluation of Traction Motors Using Simulation Model Considering Different Driving Cycles
Authors:   Department of Electrical Engineering, Amity University Uttar Pradesh, Lucknow, India, Amity University, Lucknow, India, Singh Umesh
Published: January 2025

The abstract outlines the fundamental principles underlying traction motor operation, elucidating the role of these motors in converting electrical energy into mechanical motion for propelling EVs. Various types of traction motors, including DC motors, permanent magnet synchronous motors (PMSMs), induction motors, and switched reluctance motors (SRMs), are discussed, highlighting their unique features and performance attributes. In this research project we will explore the key performance metrics used to assess traction motor efficiency and effectiveness. Parameters such as torque-speed characteristics, power density, efficiency, and thermal management are analysed in detail, emphasizing their significance in determining overall vehicle performance and range. Electric Vehicle model is simulated for each type of traction motor for same drive cycles and other vehicle parameters being constant for each simulation model and evaluating traction motor’s performance by comparing their results. In this thesis, we develop both a vehicle dynamics model and a vehicle load model, taking into account various road conditions and drive cycles.
Research Article Mathematical Modelling and Bending Analysis of Beams
Authors:   Department of Mechanical Engineering, MBM University, Jodhpur-342011, Rajasthan, India, Kumari Emarti
Published: January 2025

In this communication finite element formulation of Euler-Bernoulli beam is done considering Hermites shape functions and illustrated the calculation of stiffness matrix, mass matrix and force vector in detail. Here, considered the various cross-section of beams such as trapezoidal, rectangular, circular, triangular, etc under various loading and boundary conditions to investigate the effect of transverse deflection, shear force and bending moment with change in cross-section of beams by using finite element method based commercial software ANSYS 18.1. Here, present numerical results are validated with analytical results of beams with different cross-sections, loading and boundary conations.
A Comprehensive Study on Heavy Metal Contamination in Irrigation Water and Soil from Farmland Located Near Dravyavati River in Jaipur
Authors:   Department of Science and Humanities, Poornima University, Jaipur, Rajasthan, India, Mittal Babusha
Published: January 2025

The environmental issue today is the contamination of river water and soil by heavy metals. Various pollutants are generated and continuously increasing because of various human activities, which are affecting the environment. Numerous varieties of chemical substances are being discharged into the water and soil through different resources and processes, which affect the environmental quality in multiple ways. Highly toxic metals present in water and soil pose a high number of health risks to humans and animals. Heavy metals are among the primary pollutants. In this study, five soil samples were analyzed for heavy metals, including nickel, mercury, arsenic, copper, lead, and zinc. Additionally, five water samples were collected and examined such as copper (Cu), lead (Pb), nickel (Ni), mercury (Hg), zinc (Zn), and arsenic (As) for the detection of heavy metals in them. Soil samples collected from five different villages, and water samples were obtained from four villages near the Dravyavati River, including Mohanpura, Baas Beelwa, Baadh Shyopur, Ashawala, and Sukhdevpura Urf Nohra. The samples were analyzed using Atomic Absorption Spectrometry (AAS), a technique used to detect trace element concentrations in soil and water. The study's findings indicated that copper and lead levels in all five soil samples were below the permissible limits set by the WHO (1996), while zinc levels exceeded the permissible limits in all samples. Nickel concentrations were higher in the soil of Sukhdevpura Urf Nohra and Mohanpura but lower in the other three villages. Mercury and arsenic were below BLQ level when all five samples were analysed. However, industrial effluents discharged into the environment around the Dravyavati River Basin, now known as Amanishah Nallah, have severely impacted the basin's ecosystem. Industrialization has had a detrimental effect on the soil irrigated by its waters.
Chatbot: Chatbot Assistant
Authors:   Amity School of Engineering and Technology Lucknow, Amity University Uttar Pradesh, India, Singh Rakshita Rajan
Published: January 2025

Chatbots are a promising solution for order tracking in the digitally connected world. They offer real-time updates and personalized assistance, reducing the need for customers to constantly check their emails or websites. They also provide 24/7 availability, allowing customers to check their order status or seek assistance at any time. Chatbots also collect valuable data on customer inquiries and behaviors, enabling businesses to identify trends and refine their order-tracking systems. They can seamlessly integrate with existing order management systems, making it easier for businesses to adopt this technology without significant disruptions. However, challenges such as data security, user experience, and conversational skills remain.
Automation with Reinforcement Learning in Driving
Authors:   Department of Computer Science & Engineering, Amity University Uttar Pradesh, India, Tyagi Anushka
Published: January 2025

In recent years, the field of automatic driving technology has grown significantly, with the goal of driving a car without the need for human interaction. Reinforcement learning approaches have been important in this area. The application of reinforce-ment learning to automated driving techniques is examined and discussed in this work. The reinforcement learning process is where the study starts. A specific focus of the architectural framework is creating novel reward functions that promote safe and socially acceptable driving behavior while taking uncertainty factors into account with the use of sophisticated Bayesian neural networks. Understanding the scene, localization and mapping, planning and driving techniques, and control are the main topics of this work. The study also explores the particular complications connected to each of the main components of automated driving. It draws attention to how rein-forcement learning is applied in the field of autonomous driving. Autonomous vehi-cles use reinforcement learning to help them comprehend their surroundings, recog-nize roads with accuracy, drive wisely, and maintain safe control of the vehicle. The implementation and ongoing enhancement of automated driving heavily relies on reinforcement learning, particularly when combined with deep learning. Lastly, a summary and forecast covering the full study round up the publication.
Pipa Performance Analysis and Timbre Simulation Based on Artificial Intelligence
Authors: Chen Yuqing
Published: January 2025

As a traditional Chinese musical instrument, pipa is famous for its unique timbre and complex and varied playing techniques. It is an important symbol of Chinese music culture. However, its complexity also makes its digital protection and research face many challenges. There are many kinds of playing techniques for pipa, such as finger rolling, plucking, bending, sweeping and overtones, each technique gives it a unique timbre change. In addition, the timbre of the pipa presents a variety of expressions due to the playing force, speed and the performer's skills, which puts higher demands on traditional music research and simulation technology.With the rapid development of artificial intelligence technology, especially breakthroughs in audio signal processing and deep learning, new solutions have been provided for the research of pipa art. By combining machine learning models and generative adversarial networks (GAN), significant progress can be made in technique analysis and timbre simulation. This study aims to use artificial intelligence technology to analyze the performance characteristics of the pipa and generate realistic timbre simulations, providing technical support for the digital protection and dissemination of traditional music.
Research on the Innovation Path of Cultural and Creative Products Based on Digital Technology
Authors: He Fei
Published: January 2025

This study aims to explore the application of digital technology in the design of cultural and creative products in Jingdezhen red venues, analyze the design status of cultural and creative products in Jingdezhen red venues, reveal the types and characteristics of existing products, and identify the existing problems and challenges. For Jingdezhen red venues and product market positioning and marketing strategy to provide theoretical support and practical guidance, in order to the red culture resources inheritance and innovation provide new ideas and methods, at the same time for Jingdezhen and even the national product market inject new vitality, to promote the dual goal of cultural inheritance and economic benefits.
Research on the Current Status of the Application of Ethnic Music Elements in Secondary School Music Education
Authors: Wang Linlin
Published: January 2025

Folk music is an indispensable branch of the tree of Chinese culture and a treasure of our outstanding traditional culture. Our national music comes from our ancestors' love for the nation for thousands of years. By integrating the essence of folk music into contemporary middle school music teaching, we can better promote, develop and enhance the charm of folk music. As Mr. Zhou Yin-chang pointed out, "Chinese as mother tongue" music education should become a focus, rather than just bringing young people into the stream of history, it aims to help young people better understand the tradition, inherit and carry forward the tradition, and better move towards the future. Through systematic investigation, analysis and research, we find that the teaching and application of folk music should have a good psychological foundation, which is derived from Piaget's theory of cognitive development, Vygotsky's theory of culture-historical development and other professional psychological theories. Based on this, we need to take measures to enhance the interest of middle school students in folk music, at the same time, we also need to train excellent teachers, so that they can better spread, carry forward and inherit the excellent traditional culture, and actively participate in various social practices, and strive to realize the true inheritance of folk music.
Research on Curriculum Reform and Teaching Practice Strategies for Musicology Majors
Authors: Wang Yi , Pillai Muralitharan Doraisamy , Wang Kun
Published: January 2025

As an important art discipline, musicology, its curriculum reform and teaching practice strategies are of great significance for cultivating high-quality musical talents. This paper firstly analyzes the current situation and problems of curriculum reform of musicology majors in China, and on this basis puts forward the core content of curriculum reform of musicology majors, including the repositioning of curriculum objectives, optimization of curriculum structure, updating of curriculum content and improvement of curriculum evaluation system. At the same time, this paper also discusses the teaching practice strategies for musicology majors, including innovative teaching methods, strengthening practical teaching, expanding extracurricular activities, and building a diversified evaluation mechanism. Finally, this paper puts forward the implementation path of curriculum reform and teaching practice in musicology, including policy support and guarantee, faculty construction, integration of teaching resources, and student participation and feedback.
Predictive Research of the US Stock Market: Comparative Analysis Based on Multiple Data Science Methods
Authors: Li Runduo
Published: January 2025

This study thoroughly investigates the effectiveness of numerous data science techniques in forecasting trends inside the US stock market using a wide range of machine learning (ML) and deep learning (DL) approaches. Among the investigated techniques are decision trees, random forests, long short-term memory networks (LSTM), and support vector machines (SVM). The study underlines both the benefits and drawbacks of every model in real-world settings by means of numerous comparisons, therefore evaluating its predictive capability. The results show that although simpler models such random forests and decision trees have a degree of interpretability and are easier for investors to understand, they frequently fail to portray the complexity of market behavior. On the other hand, creative models like LSTMs and fusion techniques show shockingly great capacity to analyze and predict complex market processes, so far much above conventional approaches. For legislators seeking improved knowledge of market behavior and trends as well as for investors seeking portfolio optimization, these findings have major ramifications. By means of improved prediction models, stakeholders can make better judgments, so enhancing possibly financial returns. At last, this study provides perceptive analysis that enhances our ability to project on the always shifting terrain of the financial markets.
Supply Chain Finance, Supply Chain Concentration and Corporate ESG Performance
Authors: Liang Siyi
Published: January 2025

Creating diversified value has become a strategic goal for contemporary corporate development, with supply chain finance offering new avenues to enhance environmental, social, and governance (ESG) practices. This study analyzes a dataset from A-share listed companies spanning 2014 to 2023 to empirically investigate how supply chain finance influences ESG performance and the moderating role of supply chain concentration. Results indicate that advancements in supply chain finance positively impact ESG performance, providing companies with a pathway to strengthen sustainable practices. However, a higher supply chain concentration has a significant negative relationship with supply chain financing, indicating that companies with more concentrated supply chains may face challenges in fully leveraging supply chain finance to enhance ESG outcomes. Additionally, supply chain concentration negatively mediates the relationship between supply chain finance and ESG performance, suggesting that supply chain structure influences the effectiveness of financial strategies on ESG outcomes. This research provides theoretical and empirical insights to guide companies toward sustainable decision-making and improved supply chain practices aligned with ESG objectives.
The Impact of Income Inequality on Economic Growth in the Emerging Economies
Authors: Lin Hengjun
Published: January 2025

Emerging market economies generally face severe income inequality. Despite the relatively high economic growth in these countries, the distribution of wealth is extremely unequal, with the rich controlling a large amount of wealth, while the incomes of low-income groups are growing slowly, with a marked urban-rural gap. Incomes in urban areas are much higher than in rural areas, making it difficult for rural populations to access development opportunities. While globalization and technological advances have contributed to economic development, their benefits have been concentrated among high-income and high-skilled people, exacerbating the skills gap and limiting income growth for low-skilled workers. In addition, inadequate social security systems further exacerbate the gap between the rich and the poor. Income inequality has a positive and negative impact on economic growth. In addition, inadequate social security systems further exacerbate the gap between the rich and the poor. Income inequality has a positive and negative impact on economic growth. Research by IMF and the World Bank suggests that sound redistributive policies, such as increased investment in education, health care and social security, can help mitigate the negative effects of income inequality and promote inclusive growth. Overall, addressing income inequality is critical to the long-term economic health of emerging market economies.
Aging Anxiety, Identity and Gender Equality: A Study on Key Issues in Contemporary Western Gerontology
Authors: Wei Siqi
Published: January 2025

Since the late 20th century, Western gerontological research has expanded from purely biomedical to a broader cultural approach, developing interdisciplinary subfields such as humanistic and cultural gerontology. Cultural gerontology, drawing from cultural studies theories, places aging in parallel with categories like class, gender, and race to explore its culturally constructed attributes. Traditionally, old age has been negatively stereotyped as fragile and obstinate, leading to societal fear and discrimination. In reality, the segmentation of life stages is a product of societal evolution. Analyzing aging through a cultural studies lens—focusing on identity, aging anxiety, and gender power dynamics—reveals the critical role of culture in shaping the experiences and identities of the elderly. This approach effectively deconstructs negative stereotypes associated with old age and provides insights for the development of gerontology in China.
The Research on Strategies of Cultivating Senior High School English Autonomous Reading Ability from the Perspective of Key Competence
Authors: Wang Shiyi , Yan Jun
Published: January 2025

In the context of core literacy teaching, high school is a critical period for students’ learning and development. While teaching students English knowledge, English teachers in high schools should pay more attention to the cultivation of their autonomous learning ability. English reading is an important part of English teaching in senior high school, and English teachers need to cultivate students’ good autonomous reading ability in teaching. Therefore, to effectively develop and improve students’ autonomous reading ability and encourage them to form a good reading habit in the process of learning, English teachers in senior high schools should change their traditional educational ideas in time, and constantly seek more scientific, reasonable, and interesting teaching methods in the process of teaching, to stimulate students’ reading interest, improve their English reading ability and effectively improve their English comprehensive literacy ability. Based on this purpose, this paper briefly analyzes the effective ways to cultivate English autonomous reading ability in senior high schools in literacy idea.
An Overview of the Impact of Financial Technology Development on the Real Economy
Authors: Wang Yuge
Published: January 2025

Financial Technology (FinTech) is leading profound and significant changes in the structure of the global economy at an unprecedented speed with a thunderous momentum. It has subversively reconstructed the operation mode of the traditional financial industry and sown extensive and far-reaching seeds of change in the real economy. This paper aims to comprehensively and deeply scrutinize the multidimensional and omnidirectional impact of FinTech development on the real economy. FinTech has played a vital role in promoting the prosperity of the consumer market, effectively stimulating the vigor of consumption; at the same time, it has opened new channels of financing for small and medium-sized enterprises (SMEs), effectively alleviating the bottleneck of the funding that they have been facing for a long time. In addition, FinTech has significantly improved the overall efficiency of financial services, enabling financial resources to flow more efficiently and conveniently. In optimizing the efficiency of capital and resource allocation, FinTech also shows strong potential to help resources achieve better allocation. More importantly, FinTech has actively stimulated innovation and entrepreneurship, injecting a new powerful impetus for economic development.
Research and Practical Exploration of an Integrated Online and Offline Industry-Education Fusion Teaching Model
Authors: Yang Xu
Published: January 2025

Promoting the digital transformation of education is a crucial move in implementing the strategies of rejuvenating the country through science and education, building a strong nation through talent, and driving development through innovation. The essence of the educational model for digital innovation and entrepreneurship is the integration of 'theory + practice.' However, practical teaching has consistently been a weak point in various universities, lacking practical guidance from enterprises and high-quality case studies. Therefore, it is necessary to tailor the teaching content based on the characteristics of each major's corresponding industry. This involves making appropriate selections and adjustments, incorporating relevant examples and cases from the professional industry, introducing real-life scenarios from enterprise sites and production lines into classroom teaching. Adjustments should also be made in terms of teaching resources and requirements, integrating industrial elements into the teaching process. Higher education teaching, through the integration of industry and education, deepens cooperation with enterprises, jointly builds curriculum teaching resources to meet the needs of the development of talents in 'new engineering disciplines + new liberal arts disciplines.' This approach aims to satisfy the contemporary and personalized requirements for educational resources.
An A-Share Board Chasing Strategy Based on the JoinQuant Platform
Authors: Hong Xiuyang
Published: January 2025

The price limit system sets a limit on the price fluctuation of stock prices to ensure the stable operation of the securities market. Current research mainly focuses on the impact of various price limit policies on the stock market, but research on short-term investment strategies and methods for price limit stocks is still insufficient. Since the proportion of people who can get great investment returns in the Chinese stock market is very low, this paper aims to explore the stocks with good liquidity on the stopping stocks to construct investment strategies. In this paper, five important stock factors are identified through the multi-factor stock selection method, and then through the Join Quant platform with a back testing method, we finally get a good excess return and determine the value range of these five factors. Based on the above research, people can provide a good stop trading strategy for individual investors. This strategy can be called as a board chasing strategy, which can help investors to get high investment returns in a short period of time.
Comprehensive Mitigation Plan for Environmental Impacts
Authors: Zhang Zhiheng
Published: January 2025

Environmental Impact Assessment (EIA) is a systematic process designed to evaluate the potential environmental effects of proposed projects or developments before they are implemented. Its primary objective is to ensure sustainable development by identifying, predicting, and mitigating adverse environmental impacts while enhancing positive ones. EIA involves multiple stages, including screening, scoping, impact analysis, public consultation, mitigation planning, and decision-making. The process emphasizes public participation, interdisciplinary collaboration, and adherence to regulatory frameworks. Key areas of assessment include air and water quality, biodiversity, land use, socioeconomic impacts, and climate change implications. By integrating environmental considerations into project planning, EIA supports informed decision-making, reduces environmental harm, and fosters long-term ecological balance. It serves as a critical tool for governments, developers, and stakeholders to achieve environmental sustainability while addressing economic and social objectives.
A Review of the Literature on Fintech and Enterprise Digital Transformation
Authors: Yang Yihao
Published: January 2025

As global digital technology advances, digital transformation of businesses has emerged as a crucial step in the growth of multinational corporations. A large number of enterprises lacking strong economic strength urgently need the help of financial technology, a product of the digital economy era. This article summarizes and generalizes existing relevant literature from three aspects: The way that financial technology facilitates businesses' digital transformation, The degree to which various business types can adjust to financial technologies, and the external factors that influence the mechanism. Specifically, the article first clarifies the mechanism by which financial technology promotes Businesses' digital transformation by investigating the connection between enterprise digital transformation and financial technology, as well as the elements that influence this process. Examine further how various business models and financial technology might work together, and group businesses based on five factors: ownership, lifespan, age, size, and industry. Similarly, in the external factors section, external influencing factors are also divided into five aspects: geographical factors, degree of marketization factors, financial regulatory factors, media supervision factors, and economic policy factors. All things considered, this paper thoroughly develops a preliminary framework for fintech to support businesses' digital transformation from angles including time, location, and enterprise qualities. The financial sector's ability to support the real economy and foster its growth in the digital economy has significant practical implications.
Exploration of Charging Technology for New Energy Electric Vehicles
Authors: Meng Boru
Published: January 2025

As the global consensus on reducing carbon emissions and environmental protection strengthens, electric vehicles, as a kind of clean energy transportation, have received great attention in terms of market demand and technology development. Based on the impact of the "double carbon" target, carbon emissions will officially peak by 2030, and carbon neutrality can be fully achieved by 2060, which provides strong policy support for the development of electric vehicles and their charging technologies. In addition, the large-scale development of electric vehicles promotes the transformation of the energy industry to low-carbon, electrification, and intelligence, and the charging technology, as the key infrastructure for the popularization of electric vehicles, its technological innovation and optimization and upgrading are of great significance for promoting the development of the entire new energy vehicle industry. Therefore, this paper explores the charging technology of new energy electric vehicles through the assessment of the actual needs of industry development, policy orientation, promotion of technological innovation and market potential.
Tudy on Urban Waterfront Space Renewal from the Perspective of Residents' Health
Authors: Ding Hao , Fang Xiaoziyu
Published: January 2025

Public health has increasingly become the focus of urban planning and design, and urban waterfront space, as an important place for the daily leisure activities of residents in Waterside Areas, its health value has not really been reflected in the actual planning. From the perspective of residents' health, this paper summarizes the promotion mechanism and influencing factors of waterfront space on residents' health, and makes a field survey on the waterfront space environment in Suzhou outer city to explore its influencing factors on residents' health, and puts forward the waterfront space renewal strategy to guide citizens' healthy behavior, further improve residents' health and happiness in life, and promote the sustainable development of human settlements in waterfront areas.