bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Development of 3D Visualization Platform for Data Fusion in Mining Process
Authors: Zhang Chi , Jiang Puxian , Chen Yin , Ji Hu , Li Jinyang
Published: January 2025

In view of the common problems such as ground pressure disasters, water inrush, ventilation heat damage that may be induced by mining activities, this paper designs and develops a multi-source data fusion 3D visualization platform with a separation structure of front-end and back-end based on the multi-type online monitoring system established by Yiliang Chihong Mining Co., Ltd. and based on the three-js technical framework, so as to realize real-time online management of multiple types of data including mine production operations, ground pressure monitoring, ventilation heat damage and water inrush. Classified statistical analysis, three-dimensional visual integrated display of risk early warning information and early warning push ensure mine production safety, improve the emergency response efficiency of mine safety risks, and significantly improve the level of mine safety risk information management and control.
The Exploration and Establishment of an Economic Operation Monitoring and Early Warning Model Driven by Big Data
Authors: Zhang Xiaoping , Lei Yang , He Wancai , Chang Liu , Peng Yang , Jiang Yingying , Kou ZhengMing
Published: January 2025

The tobacco industry is a crucial component of the national economy. Enhancing the foresight, relevance, and effectiveness of macroeconomic regulation to ensure that the cigarette economy operates within a reasonable range is vital for improving macroeconomic alignment and stabilizing its contribution. This study proposes a monitoring index system for the cigarette economy. The SARIMA model is applied to forecast key indicators scientifically, while algorithms like the BP neural network and the prosperity index establish a big data-driven early warning system for cigarette economic operations. This system identifies real-time trends, detects abnormal fluctuations, shifts from reactive regulation to proactive prevention, and provides data-driven support for management decisions.
Paving the Ecological Foundation of New Industrialization with Green and Low-Carbon Development
Authors: Ma Dongyan , Zhang Hongbo , Shi Lijuan , Meng Qi , Su Yongrui , Zhao Jueyu
Published: January 2025

Since its inception, the new industrialization has incorporated green and low-carbon into its characteristics. Against the backdrop of the interweaving of global economic development and environmental protection, green development is an inevitable choice for China to break through resource and environmental constraints and promote the development of new industrialization. This article first analyzes the connotation and characteristics of new industrialization and green low-carbon, and then introduces the practical experience of green development in the European Union, the United States, and China. The European Union focuses on transforming energy structure and promoting innovation in green technologies, the United States focuses on supporting green low-carbon development through legislation and building market mechanisms, while China actively explores from top to bottom through policy guidance, industrial transformation, and energy system optimization. Based on domestic and foreign experiences, this article proposes to strengthen the division of responsibilities, improve supply levels, optimize energy structure, and other aspects to cultivate a green background for new industrialization.
Study on the Impact of Green Credit on the Business Performance of Commercial Banks
Authors: Wu Caitian , Xia Yongxing , Chen Hongxi
Published: January 2025

Nowadays, the problem of environmental pollution affects people's lives and inhibits the development of the national economy. The development of green credit plays a very important role in promoting the sustainable development of society, ecology and economy. In the long run, under the background of increasingly fierce international competition, the development of green credit by commercial banks is not only conducive to strengthening their own reputation and international competitiveness, but also conducive to improving their own business performance. However, in the short term, due to increased costs, environmental risks, incomplete supporting policies and other problems, green credit business may also have a negative impact on the business performance of commercial banks. Therefore, this paper analyzes the different impacts of green credit on commercial banks, and then discusses how to promote the improvement of commercial banks' operating performance from the perspective of green credit.
Rolling Bearing Fault Diagnosis Based on CBAM-WDCNN
Authors: Yang Nan , Bing Zhigang , Zhao Di
Published: January 2025

Rolling bearing fault diagnosis methods based on convolutional neural networks (CNNs) have demonstrated excellent capabilities in processing complex nonlinear signals. Among them, the one-dimensional convolutional neural network greatly accelerates the signal processing process by directly processing the one-dimensional time-series signal and simplifying the input of the model. However, the traditional 1D convolutional neural network has problems such as poor feature recognition. In this paper, we propose a model based on the fusion of the attention mechanism CBAM and the deep convolutional neural network with a wide kernel in the first layer (WDCNN), which emphasizes the key features and suppresses the irrelevant noises, and significantly improves the model's recognition ability for fault features. The improved method is compared with other diagnostic algorithms to verify its higher accuracy and more stable training process.
University Teachers' Issues and Strategies in Vertical Scientific Research Project Applications
Authors: Xu Peiquan
Published: January 2025

Scientific research is one of the important functions of universities. Vertical scientific research projects play a significant role in the scientific research of universities. The active carrying out of vertical scientific research projects is of great importance to the comprehensive development of universities. Combining years of work experience in scientific research management, the author discusses some common issues that arise in the application for vertical scientific research projects and proposes corresponding solutions.
The Effects of Music Lessons on Social Skills Development for Children with Autism
Authors: Zhou Yuan
Published: January 2025

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized by difficulties in social interaction, communication, and restricted or repetitive behaviors. Children with ASD often struggle with social skills, which can significantly impact their ability to form relationships and function effectively in social settings. Recent research has increasingly highlighted music lessons as a promising intervention to improve social skills in children with ASD, as they provide a structured and engaging environment for social interaction and learning. This review synthesizes findings from existing studies published between 2010 and 2024, focusing on three key aspects: the effectiveness of various musical pedagogical approaches, the critical role of specially trained music educators in implementing these interventions, and the measurable outcomes in social skill development. The research shows that organized music education consistently leads to improvements in social communication, peer interaction, and the ability to recognize emotions in children with ASD. The results are talked about in terms of what they mean for educational practices and therapeutic interventions. Suggestions are also made for future studies that will help build more evidence for music-based interventions in autism spectrum disorders. This thorough literature review looks at the growing role of music education in helping kids with ASD learn how to get along with others.
Study on Driving Mechanism of Geological Environment Carrying Capacity
Authors: He Haiyang , Dai Wei , Xu Wenyan , Wang Yan , Liu Jingyang
Published: January 2025

The carrying capacity of the geological environment to human activities is limited, and the maximum limit of this carrying capacity is the geological environment carrying capacity. It is necessary to scientifically understand the concept of geological environment carrying capacity from two dimensions: the geological environmental conditions (the carrier) and human activities (the load). To date, research on geological environment carrying capacity has focused on the establishment of evaluation methods and indicator systems, and the research seldom deals with the driving mechanism of geological environment carrying capacity. This paper evaluates the background carrying capacity and the carrying state of the geological environment in the Dongning-Suifenhe region by using the hierarchical comprehensive index method. On this basis, the geological weighted regression model is used to study the driving mechanism of geological environment carrying capacity. The background carrying capacity of the geological environment, primary sector, and population are identified as the three driving factors. All of them have positive driving effects on the geological environment carrying state.
Family Educational Inputs and Adolescent Academic Stress: The Mediating Role of Self-educational Expectations
Authors: Chen Jing
Published: January 2025

The country pays more and more attention to the youth group, and reform measures continue to be taken, and the research on adolescents is also gradually increasing. This paper takes the influence of family education on adolescents as the core, and explores in depth the influence mechanism of each factor on academic pursuits of teenagers stress. The study's findings indicate that family education input and self-education expectations have an impact on adolescents' academic stress.
Crash Risk Monitoring Method for Highways in Rain and Fog Conditions
Authors: Chen Xingguang , Liao Peng
Published: January 2025

As the volume of traffic on highways has increased, so too has the frequency of accidents. In particular, the risk of vehicular accidents is heightened in inclement weather conditions, such as precipitation and low visibility, due to the combined effect of reduced visibility and a slippery road surface. It is therefore of great significance to develop an effective method for monitoring the risk of collisions on highways in order to reduce the incidence of traffic accidents and ensure driving safety. This paper will examine the monitoring of highway collision risk in inclement weather conditions, namely rain and fog. The analysis will assess the collision risk in real time by evaluating the spacing and speed of vehicles. Furthermore, the utilisation of Python technology will facilitate the visualisation and characterisation of the risk situation.
Analysis of the Characterization and Improvement of the Safe Harbor Rule in the Electronic Commerce Law
Authors: Zeng Fankun
Published: January 2025

This article focuses on the safe harbor rules in the E-Commerce Law and discusses in depth its characterization and improvement strategy. Under the background of the booming development of Internet economy, the problem of intellectual property infringement is highlighted, and the clear definition of the safe harbor rule is of key significance in promoting the orderly development of Internet economy according to law. Through a comprehensive analysis of the origin, legal basis, qualitative analysis, implementation status and causes of the safe harbor rule, this paper puts forward a series of improvement suggestions, aiming to provide solid legal support for the protection of intellectual property rights in the field of e-commerce.
Teaching Modification and Practice of Experiments in Fermentation Engineering
Authors: Yang Xinchao , Wang Fang , Liu Yuehui , Wang Yuanxiu , Sun Naxin , Ye Chunjiang
Published: January 2025

Microbiology and Fermentation Engineering is one of the very important specialized courses in biotechnology majors, which is in the core position, and it is a discipline with strong practicability and applicability. In addition, the course of Fermentation Engineering is characterized by large knowledge span, many difficult contents, fast scientific and technological updating, and strong practicability, etc. Therefore, the Experiment of Fermentation Engineering is the best way to improve the theoretical knowledge. Fermentation Engineering Experiment is a practical content necessary for the consolidation of theoretical knowledge. In the past, the teaching content is generally biased towards verification experiments, and lack of independent design experiments. Summarizing years of teaching experience, the author has summarized a set of teaching mode of “Fermentation Engineering Experiment” with students independent design as the main body and the textbook as the basis, including several aspects such as the design of teaching syllabus, the setting of teaching content, and the determination of assessment methods. In order to improve the quality of teaching, so as to cultivate high-quality application-oriented professionals.
Progress and Prospects of Micro/Nano-robots in Medical Applications
Authors: Li Mingxuan
Published: January 2025

Along with the development of science and technology, micro/nano-robots bring more possibilities to medical surgery. The research and development of micro/nano-robots is vital because precision and the ability to work in a microscale environment can break through the bottleneck of current human medical surgery. However, the traditional type of design and research has some deficiencies, flaws in the design, and some technical issues during the process that obstruct further developments. The review is based on the progress and prospects of micro/nano-robots in medical applications. This review focuses on the principle of nano/micro-robots, the technical routes, the challenges current research teams are facing, and future perspectives. This study summarized the research and experimental reports of relevant professional teams. In summary, the researchers have already developed many kinds of actions and the combination of microorganisms and artificial structures. Currently, many ways of actuation have been invented to suit the robot in different applications, but there are still problems with efficiency, biocompatibility, or positioning and navigation. This research also discusses the challenges and outlook throughout nanorobot research.
Teaching Academic Oracy Program for First-Year Chinese Students in Australian Tertiary Education
Authors: Nie Danyang
Published: January 2025

Mastering academic skills is essential for Chinese students to complete their studies, as these skills affect their understanding of course content and critical thinking. This article discusses the integration of oracy exercises into the TESOL curriculum. Part 1 highlights the importance of teaching academic oracy to Chinese students, focusing on their specific needs and the challenges of incorporating speaking practice in Australian universities. Part 2 outlines a lesson plan based on the Oracy Skills Framework, evaluating its pros and cons, and suggests solutions to improve the instructional program's effectiveness.
Analysis of the Formation of Zhang Yuansu's Idea of "Nourishing Stomach Qi
Authors: Li Peiyi , Li Yaju
Published: January 2025

Zhang Yuansu's ideology and theory of “Nourishing stomach qi as the foundation” is a concentrated manifestation of Zhang Yuansu's academic thought, which is a combination of the academic treasures of the sages and physicians of past dynasties, as well as Zhang's independent knowledge and innovations in clinical practice. Its view of the spleen and stomach and stomach qi is the fundamental thought content, specifically embodied in: the importance of the care of the nature of the nursery, indicating that “strong stomach qi, the five organs and six bowels are strong”; internal injuries and diseases, the first to supplement the spleen and stomach and then transform its injuries; the use of medicines is prudent, avoiding bitter, cold and harsh ones, in order to prevent damage to the stomach qi. On the basis of this theory, combined with a large amount of literature and historical data, to clarify the formation of its factors: natural climatic factors affecting Zhang Zhongjing attaches importance to the use of the doctrine of the five elements in the treatment of visceral organ identification and treatment, and indicates that the spleen and stomach internal injury disease clinical evidence of medication, it is necessary to combine with the seasonal diagnosis and treatment in order to support the maintenance of the stomach qi; on the social level, Zhang Zhongjing was in the era of wars, the economy and culture have been damaged, social instability and anxiety, the people are tired of running for their lives, and are susceptible to fatigue, worry, hunger, and the need to take care of the stomach. The social level, Zhang Yuansu lived in the era of wars, economic and cultural destruction, social unrest, people were tired of running around, easily suffering from fatigue, worry, hunger, and satiety problems affecting the spleen and stomach, which is to say, internal injuries to the spleen and stomach were more common during this period. At this time, there was the phenomenon of the abuse of doctors and the popularity of a large number of warm and dry medicines, which caused many ills. Therefore, Zhang Yuansu paid particular attention to the internal causes of spleen and stomach diseases and put forward the academic idea of "raising the stomach qi as the foundation. Finally, it is concluded that Zhang Yuansu's view of the spleen and stomach and his academic thoughts are the inevitable development of the era, natural geography, personal understanding, and innovation; and finally formed the treatment idea of “nourishing the stomach and qi as the basis,” which is to stabilize and harmonize the spleen and stomach. This therapeutic idea became an important part of The School of Yi Shui and was the foundation for the development of the academic ideas related to the spleen and stomach in later generations.
Research on Sports Service Supply Mechanism and Realization Countermeasures of Yancheng Sports Venues
Authors: Zhang Huijun
Published: January 2025

With the deepening of Chinas national fitness program, the peoples sports needs are increasing, and the effective supply of stadiums and gymnasiums has been brought into full play. Using a method of literature data method, interview method, field investigation method, mathematical statistics and other research methods to analyze the current situation of sports service supply mechanism in Yancheng stadiums and gymnasiums. The study shows that the supply of sports services is insufficient; the supply subject is single and lacks market competition; the supply efficiency provides non-public choice. Based on this, the supply mechanism optimization and guarantee measures: introduce diversified supply subjects to realize the efficiency of multiple supply; establish the relationship between supply and demand activities, smooth the balance between supply and demand; guarantee measures: transform the government functions, strengthen the coordination of the subjects, improve the service system, facilitate consultation and participation; optimize the evaluation system, and strengthen the service meaning.
From the Perspectives of Scholars and Artisans: A Study on the Forms and Aesthetics of Ming-style Furniture
Authors: Ke Minyu
Published: January 2025

Ming-style furniture, to some extent, remains an artistic concept, representing the highest achievement in the history of Chinese furniture development and standing as a unique existence in the global furniture system. There is no clear scope or definition for the concept of Ming-style furniture. In a broad sense, Ming-style furniture encompasses any piece that exhibits the style of Ming dynasty furniture, regardless of whether the material is expensive or inexpensive, the craftsmanship is simple or intricate, or even if it is a modern innovative creation. In a narrow sense, Ming-style furniture refers to furniture produced from the Jiajing period of the Ming dynasty to the Yongzheng period of the Qing dynasty. This period is regarded as the golden era of traditional furniture in terms of both quantity and quality. This article limits the scope of research on Ming-style furniture to the narrow definition and explores its forms and designs from a materialist historical perspective and the viewpoint of its creators.
The Impact of Building Material Modeling on Enhancing Building Sustainability (Energy Efficiency): A Case Study of a Residential Building in Basilia
Authors:   MSc. in Building Information Modeling and Management, Syrian Virtual University, Damascus, Syria, Mary Mary ,   Lecturer Professor, Building Information Modeling and Management Master, Syrian Virtual University, Damascus, Syria,   Lecturer Professor, Al-Rasheed International Private University, Damascus, Syria, Khalil Naoras , Kadi Alaa J
Published: January 2025

This research aims to study the impact of building materials modeling on enhancing building sustainability through a case study of a residential building within the Basilia City planning scheme in Damascus, which is being transformed into a sustainable area using sustainable design techniques. The study is based on analyzing plot EA-189 in the Kfar Sousseh area by evaluating the thermal efficiency of the proposed building materials and comparing them with other materials using the Insight Solar tool in Autodesk Revit.The study involves analyzing three scenarios using different building materials: (1) Concrete blocks with air insulation and a bituminous insulated roof, (2) Brick with fiberglass insulation and a green roof, (3) A mix of brick and concrete blocks on different facades and a green roof. The results show that the second scenario provides the highest energy efficiency and best indoor air quality, despite its higher cost. The third scenario, which combines brick and concrete blocks, offers a balance between energy efficiency and cost, making it the optimal choice for future construction projects. The study demonstrates that building information modeling (BIM) enhances the effectiveness of sustainable design strategies and contributes to improved energy performance and environmental comfort of buildings.
Classification Segmentation and Visualization of Intracranial Hemorrhage in CT Brain Images
Authors:   Assistant Professor, Department of ECE, Knowledge Institute of Technology, India, admin admin ,   Assistant Professor, Department of ECE, Knowledge Institute of Technology, India,   Assistant Professor, Department of ECE, Knowledge Institute of Technology, India,   PG Scholar, Department of ECE, Knowledge Institute of Technology, India, Silambarasan A. , Hemalatha R. , Sharmila E.
Published: January 2025

Intracranial hemorrhage (ICH) poses a large chance to affected person fitness, regularly modern requiring set off diagnosis and intervention. In latest years, the medical imaging techniques, specifically computed tomography (CT) scanning, have end up critical tools for detecting and characterizing ICH. This paper offers a complete evaluate comprehensive review of the state-of-the-art techniques for the segmentation, category, and visualization cutting-edge intracranial hemorrhage in CT mind pics. The evaluate encompasses numerous methodologies, consisting of conventional picture processing strategies, system cutting-edge algorithms, and deep brand new strategies, highlighting their strengths, limitations, and capability applications in scientific exercise. Additionally, it discusses the challenges associated with correct ICH detection and quantification, inclusive of the presence modern day artifacts, anatomical variations, and sophistication imbalance. Furthermore, the paper explores emerging tendencies in ICH research, which includes the combination trendy multimodal imaging information and the improvement trendy interactive visualization gear for enhanced medical choice-making. The segmented portion from each CT image is constructed into a single 3D volumetric structure and essential information such as region Area, volume and location are provided. Further the classification accuracy between normal brain and ICH brain is 95.8%. Such a 3D visualization, Classification and volumetric analysis of ICH can provide the exact and necessary information to the neurologist which is essential for the treatment of ICH.
Genetic Diversity and Population Structure of Phyllosphere-Associated Xanthomonas euvesicatoria Bacteria in Physalis pubescens Based on BOX-PCR and ERIC-PCR in China
Authors: Siddique Faisal , Xiaofeng Xu , Zhe Ni , Mingxiu Yang , Dawei Liu , Yuting Li , Naibo Yang , Younis Haseeb , Niaz Nihal , Junhua Zhang
Published: January 2025

Xanthomonas euvesicatoria has become a serious problem in Physalis pubescens, leading to substantial crop losses. In our previous investigation, we used rapid molecular detection techniques to identify X. euvesicatoria; however, this pathogen’s diversity and population structure remain poorly understood, despite their importance in disease management. To address this knowledge gap, we analyzed the diversity of X. euvesicatoria using BOX-PCR and ERIC-PCR fingerprinting techniques. A total of 103 isolates were collected from 13 counties across Heilongjiang province during the 2018 and 2019 growing seasons. Our findings revealed 635 unique genetic patterns from ERIC-PCR fingerprinting, compared to 360 patterns from BOX-PCR. BOX-PCR analysis identified 12 distinct genotypic clusters, whereas ERIC-PCR identified 14 clusters through unweighted pair group approach with arithmetic average analysis, demonstrating substantial genetic variability. STRUCTURE analysis further identified five distinct genetic clusters in the BOX-PCR data and two in the ERIC-PCR data. The Hailin isolates showed the highest level of diversification compared to other regional isolates. AMOVA results indicated that 85% of the genetic variation in BOX-PCR was attributable to within-population differences, while 78% of ERIC-PCR variation was due to differences across populations. In addition, a Mantel test demonstrated a tenuous correlation between BOX-PCR and ERIC-PCR genetic markers, indicating distinct genetic profiles. This extensive genetic information enhances our understanding of the epidemiology of bacterial leaf spot and its potential therapeutic prospects. These data can provide insights into Xanthomonas strains’ diversity and geographical dissemination.
БАНКРОТСТВО КАК ОСНОВАНИЕ ПРЕКРАЩЕНИЯ ДЕЯТЕЛЬНОСТИ СУБЪЕКТОВ ПРЕДПРИНИМАТЕЛЬСКОЙ ДЕЯТЕЛЬНОСТИ
Authors: Калканова Ж.С. , Югай К. Югай
Published: January 2025

The article is devoted to the problem of insolvency and bankruptcy of entrepreneurs, including peasant and farm enterprises, and an analysis of the sources of legal regulation of insolvency and bankruptcy. Two fundamental legislative acts were subjected to legal analysis, such as the Law of the Republic of Kazakhstan dated January 21, 1997 “On Bankruptcy” and the Law of the Republic of Kazakhstan dated March 7, 2014 “On Rehabilitation and Bankruptcy”. It is concluded that the current law of 2014 was adopted taking into account the practice of applying bankruptcy legislation, the procedure for rehabilitation and bankruptcy was more clearly regulated, and the features of bankruptcy of city-forming legal entities and agricultural producers were highlighted. The article examines bankruptcy procedures applied to entrepreneurs and their legal consequences. The chronology of the adoption of legislative acts regulating the insolvency procedure of individual entrepreneurs and legal entities is traced, the shortcomings and imperfections of some provisions of legislative acts are analyzed, and directions for their further improvement are identified. The practice of adopting similar bankruptcy laws in some foreign countries such as France and the USA is examined.
ЭКОНОМИКАНЫ ЭКОЛОГИЯЛАНДЫРУДЫҢ НЕГІЗГІ ФАКТОР РЕТІНДЕГІ ЭКОЛОГИЯЛЫҚ САЛЫҚ САЛУДЫҢ РОЛІ
Authors: C. Cабит  , З.А.Бигельдиева
Published: January 2025

Today, environmental issues determine their importance. Economic activity in a number of countries is accompanied by deterioration of nature and often environmental disasters. World experience shows that this resource in this matter is the main factor motivating business entities to behave positively from the point of view of the environment.
Environmental regulation is a global vector of development, and changes in the environment have a noticeable impact on the quality of life of the population. In addition, the regulation of environmental processes requires the use of various tools, including financial and economic ones. Today, there is a global trend of introducing such an economic mechanism of environmental regulation as environmental taxes and fees into the national economy. The need to use these tools is fixed by regulatory legal acts, which makes environmental taxation an integral attribute from public policy to a global instrument. This tool allows the state to regulate the relationships that arise between society and taxpayers on environmental issues. Consequently, the process of reforming tax systems with the aim of environmental direction is an urgent problem in tax theory and a new development paradigm.
Reimagining Public Restrooms: Integrating Art and Design in New York Citys Urban Spaces
Authors: Gao Hongyi
Published: January 2025

This research explores the integration of public art into New York Citys public restrooms, focusing on enhancing the user experience through design and functionality. Traditionally, restrooms have been seen as purely utilitarian spaces; however, design principles from Japanese restroom culture reveal the potential to transform these areas into immersive, artistic environments that prioritize comfort, privacy, and well-being. The study examines the use of advanced technologies, minimalist aesthetics, and sustainable materials in public restroom design, drawing comparisons to Japans innovative restroom culture. Through a combination of case studies, design analysis, and user feedback, the research explores how art can be incorporated into public restroom spaces through murals, interactive installations, ambient lighting, and soundscapes. The ndings suggest these elements can transform restrooms from mundane facilities into inviting, functional, and culturally reective spaces. This s design principles from Japanese restroom culture reveal the potential to transform these areas into immersive, artistic environments that prioritize comfort, privacy, and well-being. Shift in design can enhance the public's overall experience, foster community engagement, and improve public perceptions of restroom environments, promoting a shift in how these spaces are viewed within the urban landscape.
Evaluating ChatGPT's Chinese-English Translation Quality of Tender Documents: A Research of MTPE with MQM Scoring Models
Authors: Zhou Lin
Published: January 2025

Since Google introduced the Transformer model into natural language processing (NLP) in 2017, AI-aided translation has rapidly advanced. At the same time, translation is evolving from a solitary endeavor into a cooperative activity between human translators and machine translation systems, epitomized by the emergency of platforms with the Machine Translation Post Editing (MTPE) function. The advent of new translation modes also leads to increased research evaluating the effectiveness and quality of machine translation, for example, studies on the translation quality under the Multidimensional Quality Metrics (MQM) error typology framework. Involving AI-based translators and MTPE in their translation enables human translators to prepare the engineering documents efficiently. However, researchers notice that it is difficult for most machine translators to figure out the semantic and cultural differences in the source language and generate coherent structural translation in the target language. This research opens up ChatGPTs application in tender document translation under the MQM framework, hoping to cast light on assessment on ChatGPT's translation quality, identification of ChatGPT's errors in translating such documents and suggestions on human translators' performance throughout MTPE.
Bridging Educational Achievement Gaps with Generative AI: Personalized Curriculum for Targeted Learning Support
Authors: Cao Yahan , Gu Chang , Li Yixuan , Lyu Yanze
Published: January 2025

The inequitable distribution of educational resources plays a major role in widening achievement gaps, placing students from lower socioeconomic status (SES) backgrounds at a disadvantage due to systemic barriers that restrict access to these resources. Recent advancements in the development of artificial intelligence (AI), namely ChatGPT by OpenAI, showcased its ability to generate text responses in natural language format based on input prompts. The accessibility and convenience of ChatGPT hold promise for offering personalized learning support. In pursuit of this goal, the authors built Ligare an AI-powered curriculum builder that integrates, optimizes, and presents generated responses with a user-friendly interface. The design process followed rigorous Human-Computer Interaction (HCI) protocols, including pre-development analysis, low- and high-fidelity prototyping, and subsequent evaluation. Although Ligare currently supports only math learning, the evaluation results demonstrate its potential for broader application, highlighting future directions for providing more accessible personalized education and addressing achievement gaps.
Research on Vehicle Detection Based on Improved YOLOv8 Network
Authors: Guo Haocheng , Zhang Yaqiong , Chen Lieyang , Khan Arfat Ahmad
Published: January 2025

The key to ensuring the safe obstacle avoidance function of autonomous driving systems lies in the use of extremely accurate vehicle recognition techniques. However, the variability of the actual road environment and the diverse characteristics of vehicles and pedestrians together constitute a huge obstacle to improving detection accuracy, posing a serious challenge to the realization of this goal. To address the above issues, this paper proposes an improved YOLOv8 vehicle detection method. Specifically, taking the YOLOv8n-seg model as the base model, firstly, the FasterNet network is used to replace the backbone network to achieve the purpose of reducing the computational complexity and memory while improving the detection accuracy and speed; secondly, the feature enhancement is achieved by adding the attention mechanism CBAM to the Neck; and lastly, the loss function CIoU is modified to WIoU, which optimizes the detection box localization while improving the segmentation accuracy. The results show that the improved model achieves 98.3%, 89.1% and 88.4% detection accuracy for car, Person and Motorcycle. Compared with the pre-improvement and YOLOv9 models in six metrics such as Precision.
AI-Enhanced Digital Twins for Energy Efficiency and Carbon Footprint Reduction in Smart City Infrastructure
Authors: Li Yankun
Published: January 2025

The combination of Artificial Intelligence (AI) and Digital Twin technology provides disruptive potential to increase energy efficiency and carbon footprint in smart city infrastructure. Digital Twins virtual copies of the real-world systems are augmented by AI algorithms that enable continuous monitoring, predictive analysis and optimization. In this paper, we explore the use of AI-based Digital Twins on smart buildings, transport networks and smart grids to save significant amounts of energy and drive sustainability. This is done through machine learning and reinforcement learning algorithms which identify patterns of energy use with high precision and helps to reduce the energy usage in smart buildings by 25-30%. For transportation, AI-enabled traffic infrastructure reduced carbon emissions by 20% and enhanced EV infrastructure efficiency by 18%. The smart grids were better served by predictive energy distribution, which allowed for a 15% decrease in losses and a 20% rise in the use of renewable energy. All of these results point towards the potential of AI-augmented Digital Twins to reshape city planning, optimise resource consumption and play a key role in achieving global sustainability targets. This research underscores the need to embrace high-tech solutions for the next smart city projects to combat climate change and promote sustainable development.
Research on an AI Model for Early Alzheimer's Detection
Authors: Wang Hanyu
Published: January 2025

Alzheimer's Disease (AD) is a neurodegenerative ailment with significant impact. This study aims to enhance early AD detection accuracy using a novel AI model. Leveraging multimodal image fusion (MRI and PET) and a self-attention mechanism, the model captures complex brain region relationships. Experiments on ADNI and OASIS datasets, with data preprocessing and augmentation, yielded a 92.5% accuracy and 0.95 AUC on the test set, outperforming traditional methods. Grad-CAM heatmaps enhanced model interpretability. However, challenges like data quality dependence and computational complexity remain. Future work will focus on data augmentation, model compression, and cross-domain validation to improve clinical application potential and further AD research.
UPI测试结果为导向的大学生心理健康状况实证研究——以河北某高校经济贸易学院新生为例
Authors: 张 天资 , 刘 昱 , 赵 慧敏
Published: January 2025

UPI（大学生心理健康调查表）量表作为一种广泛应用于大学生心理健康评估的工具，具有较高的信度和效度。已有研究在大学生心理健康状况的评估、干预和预防等方面取得了显著成果，然而，现有研究仍存在一定局限性，主要表现在以下方面：大学生心理状况的实证研究多集中在量化调查，缺乏深入的质性研究；现有研究对UPI测试结果的应用和解读存在一定程度的局限性；针对大学生心理健康问题的干预措施研究尚不充分。基于此，本研究致力于对UPI测试结果为导向的大学生心理健康状况进行实证研究，探讨大学生心理健康状况的具体表现是什么，针对UPI测试结果提出有效的干预措施，旨在为高校心理健康和心理危机干预提供有益参考。
Translation and Research in Arabic at Jerash University: A Survey-based Analysis of Procedures
Authors: Hawamdeh Dr. Mohammad Amin
Published: January 2025

This study aims at investigating the overall relationship between translation and academic research (written in Arabic) on technical and cognitive levels. Methodically, a self-administered questionnaire was designed to consist of 18 statements distributed to the two aspects above. As a survey-based investigation to apply to a representative sample of the faculty members at Jerash University (JPU) in Jordan, the questionnaire was validated by seven professors in their capacities as deans, deputy deans or directors of specialized centers at JPU. Translation was found to help more fruitfully conduct research projects with the text(s) translated from other languages being unavoidable and bridge the gap between identity and loyalty as an Arab researcher might be shocked by the knowledge or experience encountered in foreign languages. Also, Arab researchers know that translation is an important window to see other peoples’ intellectual and philosophical heritage and various achievements. Also, translation was found to contribute to national development with the translator as a partner of the same. Eventually, translated research is highly recommended in university contexts as it helps trigger dialogues and, hence, address the other thoughts of the world in one language both positively and productively.
Protective Effect of Thymoquinone Coated Zinc Oxide Nanoparticles Against Aflatoxin B1 Induced Hepatotoxicity in Albino Rats
Authors: Huma Mujahid  , Amina Batool  , Rahat Naseer  , Syeda Aamna Hassan  , Barizah Malik  , Sadia Akbar  , Maryam Javed
Published: January 2025

Herbal Aflatoxins are a group of mycotoxins which can cause hepatotoxicity and can eventually lead to liver cancer. The current study was designed to check the hepatoprotective effect of thymoquinone coated zinc oxide nanoparticles against aflatoxin induced hepatotoxicity in albino rats. Aflatoxin B1 (AFB1) was produced by solid state fermentation on rice using Aspergillus flavus and quantified by HPLC. TQ-coated ZnONPs were prepared by the conjugation of thymoquinone with ZnONPs and characterized by UV-Visible spectrophotometer,and Zeta potential analysis. The albino rats were fed with different diets by dividing them into five groups i.e., group A (normal diet), group B (20 ppb AFB1), group C (20 ppb AFB1 and 25 ppb ZnONPs), group D (20 ppb AFB1 and 10 ppb TQ) and group E (20 ppb AFB1 and 25 ppb TQ-ZnONPs). Blood sample and liver tissues were taken for histopathological study. Histopathological examination of liver revealed that AFB1 causes swelling, focal necrosis and decreased sinusoidal spacing. Biochemical tests like ALT (116 U/L) and AST (109 U/L) were significantly raised while there was decline in level of glucose, cholesterol, HDL and TG by AFB1. Liver function enzymes ALT (28 U/L) and AST (35 U/L) were significantly improved by treatment of TQ-ZnONPs. These changes caused by AFB1 were ameliorated by TQ-ZnONPs. It was concluded that the combined effect of TQ and ZnONPs is an effective approach towards the lethal hepatotoxic effects caused by aflatoxins present in animal feed.
Transhumanism and Qur'an-Centered Human Conception: A Contemporary Approach.
Authors: Özyılmaz Edanur
Published: January 2025

Transhumanism, which emerged in the second half of the 20th century, is a movement that argues human nature is not fixed and immutable; rather, it can be transformed through technological and scientific innovations. In the transhumanist future, human forms are expressed through terms such as transhuman, posthuman, cyborg, and homo cyberneticus, reflecting the potential and levels of advancement of nanotechnology, biotechnology, and information technology in transforming humanity. From a Quran-centered perspective, humans are rational beings endowed with free will and bear responsibility. The most fundamental responsibility of a human is to recognize their Creator and their servitude. Humans, who are obliged to reflect the exemplary personalities of God's prophets, the vicegerents of Allah on Earth, are also tasked with cultivating the land. In the face of ideologies like transhumanism that aim to transcend human biological and cognitive limits, we believe it is crucial to revisit the Islamic conception of humanity. We are of the opinion that the studies conducted in this direction will be an important step towards reinterpreting Islam's universal message and providing solutions to contemporary issues.
Why Natural Language Processing is Not Reading: Two Philosophical Distinctions and their Educational Import
Authors: Culbertson Dr. Carolyn
Published: January 2025

This paper explores two important ways in which close reading differs from natural language processing, the use of computer programming to decode, process, and replicate messages within a human language. It does so in order to highlight distinctive features of close reading that are not replicated by natural language processing. The first point of distinction concerns the nature of the meaning generated in each case. While natural language processing proceeds on the principle that a text’s meaning can be deciphered by applying the rules governing the language in which the text is written, close reading is premised on the idea that this meaning lies in the interplay that the text prompts within readers. While the semantic theory of meaning upon which natural language processing programs are based is often taken for granted today, I draw from phenomenological and hermeneutic theories, particularly Wolfgang Iser and Hans-Georg Gadamer, to explain why a different theory of meaning is necessary for understanding the meaning generated by close reading. Second, while natural language processing programs are considered successful when they generate what epistemologists call true beliefs about a text, I argue that close reading aims first and foremost at the development, not of true belief, but of understanding. To develop this distinction, I draw from recent scholarship on the epistemology of education, including work by Duncan Pritchard, to explain how understanding differs from true belief and why attainment of the latter is less educationally significant than the former.
Status Offenses
Authors: Mandayam Rashmi
Published: January 2025

Abstract—Status offenses constitute 20% of
juvenile arrests annually and have been identified as
early indicators of potential delinquency. This paper
examines the consequences of institutionalizing status
offenders, highlighting its counterproductive
outcomes, and advocates for rehabilitation-focused
alternatives. Institutionalization often exacerbates
underlying personal and systemic issues, increasing
recidivism and antisocial behavior. By exploring
policy variations across states and emphasizing
developmental perspectives, this study proposes
community-based interventions as a more effective
and humane solution to address status offenses.
Index Terms—Status offenses, juvenile justice,
institutionalization, rehabilitation, community-based
programs, recidivism, developmental needs, policy
discrepancies, economic implications.
To Review on Speech-to-Sign Language Conversion System Using Natural Language Processing
Authors:   Department of CSE(DS), D Y Patil agriculture and technical University Talsande Kolhapur, Chougale Ajit R.
Published: January 2025

The project aims to bridge the communication gap between hearing individuals and the deaf community by developing a speech-to-sign language conversion system. This system transforms spoken language into corresponding sign language gestures, enabling real-time, inclusive communication. Leveraging advanced speech recognition algorithms and natural language processing (NLP), the spoken input is converted into text. The text is then analysed, segmented into meaningful components, and mapped to sign language gestures displayed as animations or visuals. This approach prioritizes accessibility and ease of use, ensuring that individuals with hearing impairments can participate seamlessly in conversations. The system's modular design allows adaptability for sign languages and continuous improvement through machine learning techniques. By combining cutting-edge technology with a user-centric focus, this project provides an innovative tool for enhancing inclusivity in communication.

Key Words:Speech recognition ,  Real-Time Translation,  Natural Language Processing, Sign Language Animation, Deaf Accessibility,  Speech Recognition,  Communication Bridge,  Text preprocessing, NLP.
Fabrication and Characterization of Bamboo and Pine Apple Fibres Reinforced with Agarbatti Powder Hybrid Epoxy Composites.
Authors:   DEPARTMENT OF MECHANICAL ENGINEERING SIR C. R. REDDY COLLEGE OF ENGINEERING, MAHENDRA U.
Published: January 2025

A composite material is made from two or more constituent materials; having better properties compared two both two parent materials. The composite is stronger, lighter, and less expensivecompared with the traditional materials. In current years composites have considerable importance as a potential operational material. Fiber reinforced polymer composites are used in almost all type of advanced engineering structure like sheets, blankets, number of otherhousehold textiles and shirts, evening wears etc. Better mechanical properties like tensile strength, flexural strength, impact strength of reinforced epoxy composite, are the main area offocus in the thesis. Composites are bamboo fiber reinforced along with pineapple fiber variations. In this present work research is carried forward to find the best composite based on strength. The aggarbatti powderis hybridized with polyster resin.The hybrid composites are formed by using hand layup techniquein random orientationby considering the proportions.

Bamboo fibre, pine apple fibre, bamboo fibre + pineapple fibre, bamboo fibre + pineapple fibre+10gms of aggarbatti Powder, bamboo fibre + pineapple fibre +20gms aggarbatti powderusing hand layup technique using Epoxy and Hardener. The composites for all the tensile, flexural, impact, hardness we prepared using ASTM standards.