bluuebunny/crossref_metadata_2025 huggingface dataset:
Simulation Analysis of a Flexible Sports Simulation Model for Multimedia Data Analysis
Authors: Fan Huiguo
Published: January 2025

In order to improve the analysis effect of sports simulation model, this paper proposes a flexible sports simulation model for multimedia data analysis. Moreover, the rigid body sports simulation model of the athlete is established in this paper to analyze and solve the control force required by the athlete to obtain the maximum movement distance. Besides, this paper simplifies the athlete's movement process into two stages through two constant control forces. Finally, through the force analysis of each stage, the corresponding dynamic equations are listed, and the force analysis is carried out for 7 rigid bodies separately, and the plane motion differential equations of each rigid body are listed. The experimental study shows that the simulation analysis model of a flexible sports simulation model for multimedia data analysis proposed in this paper has a good effect.
The Impact of Strategic Information Systems on Competitive Advantage
Authors: Reem Sabah Mohammad
Published: January 2025

The research aims to measure the impact of SIS on competitive advantage within Asia Cell. It focuses on evaluating the effectiveness of these systems in enhancing managerial efficiency and competitive positioning. The study involves 30 participants from various managerial levels at Asia Cell, with data analyzed using SPSS software. Key findings reveal that respondents acknowledge the presence of SIS and their positive influence on managerial performance, leading to a competitive advantage.
Research on the Application of Ductile Iron in High-Performance Automobile Parts
Authors: Yuanzheng Ling
Published: January 2025

Background: Ductile iron, known for its better mechanical properties, is essential in the production of high-performance automobile components. As the automotive industry strives for lightweight yet durable elements, comprehending the relationship between ductile iron material properties and part effectiveness is critical. Predicting the efficiency of these components using their properties can dramatically improve product development and manufacturing procedures.
Objectives: The primary objective of this research is to create the Ductile Iron Part Performance Predictor (DIP3), a sophisticated technique that can predict the performance rating (high, medium, or low) of ductile iron automobile parts. Using machine learning ensemble methods such as Bagging, Boosting, and Stacking, the model intends to offer precise and trustworthy performance predictions.
Methods: The DIP3 model uses a three-step ensemble technique. The first step uses Bagging with the J48 decision tree classifier to create multiple sub-models. The second step improves predictions by combining AdaBoostM1 with RandomForest as the base classifier, which improves on the initial predictions from Bagging. Finally, in the third step, the algorithm uses a SimpleLogistic meta-classifier for Stacking, which combines the results of Bagging and Boosting to make more accurate predictions. Mean/mode imputation for missing values, label encoding for categorical variables, and Min-Max normalization for numerical features are all used for data preprocessing. Information Gain is employed in feature selection to find the most important predictors of part performance.
Results and Conclusion: The DIP3 model was assessed using a variety of performance metrics, comprising accuracy, precision, recall, F1-score, and MCC. The model had a high level of predictive performance. These results prove the resilience and dependability of the DIP3 model in predicting the performance rating of ductile iron parts. The DIP3 model is a reliable and efficient solution for predicting the performance of high-performance ductile iron automobile parts. By combining Bagging, Boosting, and Stacking approaches, the algorithm offers precise, trustworthy, and interpretable predictions, which can help manufacturers improve their design and manufacturing processes.
The Applications and Prospects of Fuel Cells in the Medical Field: Insights from Health Assistants, Respiratory Therapists, and Nurses in Saudi Arabia
Authors: Wejdan Ahmed Abuillah
Published: January 2025

Fuel cells are devices that convert chemical energy from fuels into electrical energy through an electrochemical reaction. Fuel cells emerged as a commercially viable alternative for the production of “clean” energy and are viewed as an environmentally friendly technology that can play a significant role in the energy economy of the future (K. Niakolas et al., 2016). Fuel cells have numerous applications in a wide range of economic activities including portable devices, vehicles, and stationary power generation. The medical field finds itself needing new energy solutions as technologies compete to become more reliable, portable, and self-sufficient. This adds pressure to find new energy sources to power the equipment used to promote patient health. Saudi Arabia’s healthcare systems are emerging to trenchant and ingenious solutions to issues such as their ongoing need for expansion and the consequences of unbridled uneven growth within the nation’s provinces.
The Role of Fuel Cells in Advancing Pharmaceutical Technologies: Applications and Future Perspectives
Authors: Hanan Saleh Almasmary
Published: January 2025

The pharmaceutical industry is vital for public health and modern life. However, drug misadventures, especially during drug development, create significant costs for the pharmaceutical sector. With rising energy costs and environmental concerns, drug manufacturers must consider energy use and carbon impact. Fuel cells, which convert a fuel's chemical energy directly into electrical energy, promise efficient on-site energy production and zero emission alternatives to burning fossil fuels. Their adoption relies on a balance of upfront costs and long-term benefits. This essay discusses fuel cells' current and potential applications in the pharmaceutical industry, where energy use is often hidden.
Fuel Cells in Healthcare Systems: Enhancing Administration, Laboratory Operations, Community Services, Anaesthesia, and Nutrition Efficiency
Authors: Ibrahim Saad Ali Alqarni
Published: January 2025

Fuel cells have emerged as a promising technology to enhance energy efficiency and sustainability in healthcare systems. This review explores the applications of fuel cells in various healthcare domains, including administration, laboratory operations, community services, anesthesia, and nutrition management. Fuel cells generate energy through an electrochemical process, providing higher efficiency and lower emissions compared to traditional energy systems. They are modular, scalable, and suitable for meeting the simultaneous electrical and thermal energy needs of healthcare facilities. Key applications discussed include their role in powering healthcare administrative functions, ensuring reliable energy for sensitive laboratory equipment, supporting remote healthcare services, advancing anesthesia delivery systems, and improving nutrition management. The review also highlights global and local trends, techno-economic analyses, and the sustainability perspective of fuel cell integration in healthcare systems. By adopting fuel cell technology, healthcare organizations can reduce greenhouse gas emissions, lower operational costs, and promote innovation in energy management.
Gamified Strategy for the Development of Critical Reading in Secondary School Students: Creation and Validation of "Critical Explorer"
Authors: Hernán Javier Guzmán Murillo
Published: January 2025

This article aims to describe the design and validation of an educational video game titled Critical Explorer, developed as a gamified strategy to enhance critical reading skills in secondary school students. The research adopted a projective design with a qualitative approach and was conducted in a high school in Montería, Colombia. The video game was built following an iterative methodology that included three main phases: analysis, design, and validation. During the analysis phase, educational needs related to critical reading and students' preferences for digital games were identified. In the design phase, the video game elements were developed based on gamification theories, incorporating narratives, challenges, and rewards. Finally, in the validation phase, an evaluation process involving experts in pedagogy and video game design was conducted to ensure its educational relevance and effectiveness. The results indicate that Critical Explorer possesses characteristics that make it an innovative tool for fostering skills such as analysis, inference, and argumentation in academic contexts. This study highlights the importance of integrating gamified strategies into teaching, promoting meaningful and motivating learning experiences.
The Use of the Audiovisual Workshop as an Innovative Strategy to Improve Reading Comprehension in Elementary School Students in Montería, Colombia
Authors: Hernán Javier Guzmán Murillo
Published: January 2025

This article presents the design of a pedagogical proposal focused on audiovisual workshops as a strategy to improve reading comprehension among eighth-grade students in an educational institution in Montería, Colombia. This project is based on sociocultural and constructivist learning theories, highlighting authors such as Vygotsky and Bruner, as well as key concepts of visual literacy. The initial diagnosis, based on tests applied to 35 students, revealed low levels of reading comprehension, with 69% of students falling into an insufficient performance range. The proposal includes dynamic and technological activities, such as video and film analysis, designed to develop critical and creative skills. The validation of the workshop by experts through Aiken's V coefficient supports its pedagogical relevance. This work offers an innovative alternative to address educational challenges in rural and urban contexts, emphasizing the usefulness of audiovisual resources to promote motivation and meaningful learning among students.
A Multidisciplinary Perspective on Public Health: The Role of Fuel Cells and Nanotechnology in Advancing Epidemiology, Occupational Health, Emergency Services, Nursing, and Laboratory Operations
Authors: Saleh Taher Bawab
Published: January 2025

Human health in a population, typically referred to as public health, is a complex attribute with biological, psychological, social, and economic influences. The public health armamentarium that is working to understand, monitor, and treat these influences is equally complex, including fields such as epidemiology, sociology, medicine, environmental health, emergency response, nursing, virology, industrial hygiene, and psychological health that address these factors. It is an excellent example of an interdisciplinary tool, one of the many that are used daily by those who are trained and tasked with protecting the population's health. More sound data, properly interpreted and acted upon, always improve that protection effort, and this is true no matter which of the aforementioned disciplines is involved. Solving the problems in which data are applied, however, requires imagination as well. New ways to measure factors that have not been understood or are clouded are especially helpful when developed. The use of new technology, or combinations of existing technology, can be a transformative experience that moves science and health theory forward. The use of nanotechnology, fuel cells, and other energy-storing devices, or even a combination of both, fit the bill. Individually, the new data that each can produce is valuable or, at least, will lead to new questions and new directions. Together, on the other hand, we are searching for the synergism that would allow for truly transformative practice in the many disciplines that are working to improve and protect the public's health. This paper explores the opportunities to advance practice in epidemiology, health care, emergency services operation, occupational health exams, and laboratory operations.
Application Research of Physical Model Based on Differential Equation Theory in Salvaging Dropped Items
Authors: Xiaoling Mei
Published: January 2025

Incidents of items accidentally falling into water are common in daily life, especially during travel, where important items such as ID cards and mobile phones fall into water. This article uses the items falling into the West Lake and the Beijing-Hangzhou Grand Canal as examples. By utilizing the theory of differential equations advanced mathematics, a physical model is established. The model takes into account the impact of water flow speed, direction, wind speed, and other factors on the final point of the item. It provides a detailed simulation of the item's descent process in the water and analyzes the trajectory of the item's movement in the water. Python for numerical simulation, the recommended search radius for a mobile phone falling into the West Lake is obtained as 0.00042m, while a mobile phone falling into the Grand Canal, the recommended search radius is 0.18m, Similar analysis of ID search radius in West Lake and Grand Canal areas, These results provide theoretical support and scientific basis for actual retrieval work.
Design and Key Technology Research of Coal Mine Safety Comprehensive Monitoring System based on AHP Analysis Method
Authors: Xiangyun Wan
Published: January 2025

With the continuous deepening of coal mining activities, the importance of coal mine safety has become increasingly prominent and has become a widely concerned focus of society. In order to improve the efficiency and accuracy of coal mine safety management, we adopted the Analytic Hierarchy Process (AHP) to design and implement a comprehensive monitoring system for coal mine safety. This system not only combines the actual situation of coal mining, but also fully utilizes modern technological means to ensure the safety and stability of coal mining operations. Firstly, we conducted an in-depth analysis and statistical analysis of the causes of 45 coal mine gas explosion accidents that have occurred in the past 5 years. Through detailed accident investigation and data analysis, we identified the key factors leading to gas explosions and constructed a dishonesty model for gas explosion accidents based on the Analytic Hierarchy Process. Based on the current situation of coal mine safety monitoring system and the development trend of wireless sensor network technology, a design scheme of coal mine comprehensive monitoring system based on wireless sensor network is proposed. Based on the CC2430/CC2431 node design, a security monitoring system in wireless sensor networks has been implemented. This system adopts advanced wireless communication technology to ensure stable data transmission and real-time processing. At the same time, we also conducted strict testing on the system to ensure its reliability and stability in practical applications. The test results in a simulated mine show that when the distance between wireless nodes is 10m, the system can meet communication requirements, achieve accurate data transmission and real-time monitoring.
Research on Digital Technology, Brain-Computer Interface Technology, and Willingness to Purchase Travel Experience Quality Insurance
Authors: Cheng Zhang
Published: January 2025

Based on tourists' concerns regarding the quality and trustworthiness of technology-related effects on travel experience insurance, this study employs experimental methods and Logit regression analysis. The research is conducted in two stages: pre- and post-application of digital technology. Tourists visiting Ningbo Tianyi Pavilion are selected as the research sample. Brain-computer interface technology is utilized to quantitatively measure real-time attention levels and travel experience quality among tourists. By visualizing travel experience quality based on attention levels, this study examines the relationship between digital technology, brain-computer interface technology, and willingness to purchase travel experience insurance from a technological application risk perspective. The findings demonstrate that: (1) Digital technology enhances tourists' attention, thereby improving the quality of their travel experience and positively influencing their inclination to purchase insurance for travel experience quality. Moreover, digital technology can serve as a means of ensuring the quality of purchased travel experience insurance. (2) The utilization of brain-computer interface technology can significantly enhance the inclination to procure insurance for travel experience quality. Brain-computer interface technology offers a reliable guarantee for the acquisition of travel experience quality insurance. This study provides a crucial foundation and practical conditions for investigating the implementation of travel experience quality insurance, offering valuable insights into how technology-enabled insurance can effectively incorporate third-party oversight within the tourism industry.
Experimental and Analytical Behaviour of Prefabricated Pretensioned Mo-ment-Resistant Column-to-Column Spliced Joints
Authors: Yufeng Jiao
Published: January 2025

To facilitate the rapid construction of steel or steel-concrete structures, a new type of spliced joint, called a prefabricated pretensioned moment-resistant joint, was designed to splice H-shaped steel columns. Two supporting plates, sustained by two stiffened ribs, were welded near the end of the column, which could be prefabricated in a factory. Two segments of the H-shaped steel column were linked by longitudinal high-strength bolts (LHSBs), which were pretensioned to provide precompression in the milled flange of the column. In this paper, reversed cyclic loading tests were conducted on three specimens of this innovative joint to investigate its failure modes and load-bearing capacity influencing factors. A finite element(FE) model of the tested specimens was developed, and the results obtained from the FE modelling were verified against those from the test results. The results indicate that the LHSBs have such a remarkable connection ability that the load-bearing capacity is strong even if buckling deformation occurs in the flange of the column. The joint was damaged due to the loosening of the LHSBs accompanied by the separation of the two flanges of the column. Parametric studies were conducted to investigate the influence of steel strength, bolt pretension force, flange bolt diameter, etc, on the behaviour of the connection. The results show that the ratio β and pretension of the LHSB have a great influence on the joint performance. When a pretension of 0.8P is applied(P is pretension of high-strength bolt), the ultimate moment can be reduced by 15.8%; when a pretension of 0.6P is applied, the ultimate moment can be reduced by 24.5%. When the ratioβis large, the flange at the column splicing joint is prone to local instability, thus accelerating the failure of the joint.
Efficient Deep Blue Organic Light-emitting Diodes Based on Thermally Activated Delayed Fluorescence Emitter with Simplified Device Structure
Authors: Leijuan Ma
Published: January 2025

In this study, we have designed a series of blue electroluminescent (EL) devices with streamlined structures based on conventional electron transport materials. The incorporation of TcTa layer leads to a distinct improvement in the EL properties, which is attributable to the balanced distribution of the charge carriers and the extent of the recombination zones in the emission layer. In addition, it has been found that the auxiliary thickness of the stepwise TcTa layer is advantageous in order to improve the color purity of the device. Finally, device obtained the highest brightness, current efficiency, power efficiency, power efficiency and external quantum efficiency (EQE), reaching 3914 cd/m²,12.58 cd/A, 12.69 lm/W and 13.1% respectively. The color coordinates of the device are (0.176, 0.159), which are shown in dark blue..
Research on the Weight of Factors in Interactive Space Experiential Interior Design Based on Environmental Protection and Energy Conservation
Authors: YilinSun
Published: January 2025

From the perspective of "green demand" of indoor space users, this paper discusses and considers the related problems of indoor space design. The green demand of users is the premise and foundation to realize the green development of interior design. To fully tap and cultivate the green needs of users, we need to experience the green indoor space. It is necessary to fully consider the rationalization of building space structure in the design, learn from the traditional ecological and energy-saving building technology, and choose the natural lighting and natural ventilation of the building to the greatest extent. This paper analyzes the methods of using renewable energy according to the local natural environment, selecting environmental friendly decoration materials, reasonably carrying out indoor greening and creating a sustainable indoor space environment with ecological beauty. The experiment shows that this method has a certain reference value for the indoor design and research of environmental protection and energy-saving interactive space experience..
Construction of Safety Risk Assessment Index System for Mechanical and Electrical Equipment Installation Engineering
Authors: E E Man
Published: January 2025

With the continuous expansion of the industrial scale of electromechanical equipment installation, it is necessary to strengthen the ecological management of the construction and installation industry. On the one hand, this can reduce potential safety hazards and safety accidents, on the other hand, it can reduce ecological risk losses. Based on the common risk identification methods and approaches, this paper first describes the relevant concepts and theories of construction risk of electromechanical equipment installation projects. The construction safety risk factors of mechanical and electrical equipment installation project were preliminarily identified through data review and investigation and interview. This paper uses LEC evaluation method to evaluate the preliminarily identified construction safety risks of electromechanical equipment installation projects, and obtains the risk degree and risk level of the construction safety risk factors of electromechanical equipment installation projects. In this paper, the construction safety risk evaluation index system of mechanical and electrical equipment installation project is established and the evaluation basis and standard are clarified. Finally, the paper conducts an empirical study on the feasibility and reliability of the construction safety risk assessment system of electromechanical equipment installation projects through specific engineering examples.
Charging and Discharging Control Strategy of Electric Vehicle Grid Connected Under Clean Energy
Authors: Tengfei Li
Published: January 2025

A control strategy for electric vehicle charging station under clean energy is proposed in this paper. Its core is to determine the operation mode of the charging station according to the maximum power output of the photovoltaic system and the state of charge of the energy storage battery. The system can realise the coordinated operation of photovoltaic power generation, energy storage system charging and discharging, charging station demand and grid connection. The bidirectional DC/DC converter at the energy storage end adopts voltage and current double closed loop control. In order to avoid frequent charging and discharging of storage battery, bus voltage layered control method is adopted. The experimental results show that the adopted control strategy can enable the electric vehicle charging station to switch effectively between various operation modes, which verify the effectiveness of the system control strategy.
A Reinforcement Learning Approach to Decision Making of Phased Array Radar Jamming
Authors: Lihui Huang
Published: January 2025

With the rapid advancement of phased array radar, the guidance and anti-jamming capabilities of phased array radar seekers have been further enhanced. Traditional radar jamming decision-making methods are no longer applicable in electronic warfare. Thus, radar jamming decision-making methods based on reinforcement learning have emerged, which can effectively address the issues of poor performance and low efficiency of traditional jamming approaches. Given the extremely high cost and poor repeatability of physical experiments, the construction of simulation models is frequently adopted for simulation experiments. Unlike most other studies on radar jamming decision-making that employ functional-level simulation modeling, this paper adopts signal-level simulation of radar jamming decision-making, presenting a more realistic and intuitive reflection of the entire process of interference equipment interfering with the missile terminal guidance. Through the signal-level simulation of phased array radar terminal guidance and the introduction of reinforcement learning algorithms, this study investigates how the interference equipment should act to maximize the interference benefit. Through simulation experiments, on the one hand, it is demonstrated that the reinforcement learning algorithm can improve the interference effect. On the other hand, the accuracy of the signal-level simulation model is verified.
Promoting Engagement Through Enterprise Information System Integration: Mediating Role of Self-Determination and Moderating Effect of Leadership Style
Authors: Jiashou Wang
Published: January 2025

Introduction: Enterprise Information System Integration (EISI) plays a pivotal role in enhancing organizational operational efficiency and empowering employees. Despite its growing importance, limited research explores how EISI impacts employee engagement. Addressing this gap is crucial for enterprises aiming to optimize both technological and human capital.
Objectives: This study aims to investigate the relationship between EISI and employee engagement by integrating the Information System Success Model with Self-Determination Theory. Additionally, it examines the moderating role of transformational leadership and the mediating role of self-determination in this relationship.
Methods: A quantitative research design was employed, utilizing structural equation modeling (SEM) to analyze 500 valid questionnaires collected from Chinese enterprise information system users. The proposed hypotheses were tested to understand the direct and mediated effects of EISI on employee engagement.
Results: The findings reveal that effective EISI significantly enhances employee engagement. Self-determination plays a crucial mediating role, highlighting the importance of fulfilling employees' psychological needs in this process. Furthermore, transformational leadership positively moderates the relationship between EISI and employee engagement, amplifying the beneficial effects of EISI.
Conclusions: This study provides valuable insights for enterprises, emphasizing the need to optimize information systems and adopt transformational leadership styles to foster higher employee engagement. These findings offer theoretical support and practical guidance for leveraging EISI to enhance workplace productivity and employee satisfaction.
Developing Emotional Expression in Painting Through Guided Pedagogies
Authors: PengYuan Zhu
Published: January 2025

This study demonstrates a method of integrating machine learning (ML) with pedagogies to enhance emotion expression in painting. Much traditional art education focuses on skill and technique, leaving less emphasis on emotional expression, where most beginner artists are interested. This research uses an analysis of emotional content in painting with a CNN model so that participants receive personalized feedback in real-time, potentially filling the gap between emotion and artistic output. In total, two groups were observed during the experiment. These are the traditional art educational input group and the experimental machine learning-guided input group. The result from this was that the improvement in emotional expression was very clear; hence, emotional scores from the experimental group changed from 0.47 to 0.75 against 0.45-0.54 of the control group. Additionally, 85% of participants in the experimental group felt more confident about expressing their emotions through their paintings, and their emotional expression was still stronger without further guidance. This study implies that incorporating machine learning into art education may help improve emotional depth and artistic confidence, providing a tool for artists to express themselves better in visual form. This approach offers a novel framework for rethinking art pedagogy, with technology creatively merged to foster deeper emotional connections within artistic practices.
Using Augmented Reality for Sculpture Teaching in Art Schools
Authors: Xiaofei Lu
Published: January 2025

This study demonstrates the implementation of Augmented Reality in sculpture education at art schools to improve traditional teaching methods. The use of AR technologies that allow students to interact with virtual 3D models in real-time creates a dynamic and immersive learning environment for sculptors. The two main objectives of the study were to determine the effect of AR on the spatial visualization, creativity, and general engagement of the students in the sculpture-making process. The 50 students from five art schools were involved. The participants were divided into an experimental group using AR tools and a control group that used traditional sculpting methods. The experimental group used AR software like Unity and ARKit to design and manipulate 3D models, which enabled them to visualize and modify sculptures before physically creating them. The control group engaged in hands-on sculpture work using conventional tools and materials. Data were gathered using a combination of quantitative measurements, which included spatial visualization and creativity tests, and qualitative feedback from questionnaires and interviews. The AR group demonstrated a 30% improvement in spatial visualization and a 38.1% increase in creativity compared to the control group. In addition, 92% of AR users reported higher engagement, feeling more confident and motivated. The ability to explore digital prototypes with minimal material waste fostered creativity. This study suggests that AR can effectively complement traditional sculpture teaching, offering an innovative, cost-effective, and interactive approach to art education, enhancing spatial understanding and creative exploration for more engaging and accessible learning experiences.
AI-Driven Personalized Learning for Beginner Musicians
Authors: Fuqiang Qiu
Published: January 2025

This paper presents the development and implementation of an AI-driven personalized learning platform designed specifically for beginner musicians. The platform leverages advanced machine learning techniques, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs), to offer real-time feedback on musical performance, focusing on pitch recognition, rhythm accuracy, and note classification. By adapting to the individual progress of each learner, the system provides tailored exercises, personalized recommendations, and motivational elements, such as gamification, to enhance engagement and improve learning outcomes. The study evaluates the platform’s effectiveness through empirical testing, measuring improvements in performance accuracy and user satisfaction. Results indicate that the AI system significantly aids beginner musicians in overcoming common learning challenges, fostering confidence, and accelerating skill development. This research contributes to the growing field of AI in music education, addressing the gap in personalized learning tools for beginners and offering a scalable solution for music instructors and learners alike. The findings suggest that AI-driven platforms hold considerable potential to revolutionize music education by providing adaptive, interactive, and personalized learning experiences.
Enhancing Graphic Design Skills Through AI-Based Learning Systems
Authors: An Ouyang
Published: January 2025

This paper aims to evaluate the ability of AI-based learning systems in graphic design. It was conducted by comparing the students who used AI-powered tools and those who relied on the traditional method of learning. 100 participants were split into two groups. These two groups performed a set of graphic design projects for 12 weeks. The AI-assisted group used platforms that provided real-time feedback and personalized learning paths, whereas the traditional group was instructor-led and textbook-based. The results indicate that the AI-assisted group showed a more significant improvement in design skills, with an average increase in post-test scores of 31.5% as compared to 20% for the traditional group. The participants in the AI group also reported higher satisfaction, greater creativity, and more efficient learning experiences. This study shows how AI can accelerate learning, encourage creativity, and facilitate personalized guidance in graphic design education. It also puts into focus the role of AI in modernizing approaches to education, offering valuable insights for integrating AI tools into graphic design curricula.
Developing Emotional Intelligence Through Color Theory in Visual Design Education
Authors: Jianfei Wang
Published: January 2025

This study investigates the integration of colour theory into visual design education as a means of developing emotional intelligence (EI) among design students. EI, defined as the capacity to perceive, understand, and manage emotions, is crucial in visual design as it helps designers create emotionally engaging and user-centred designs. The research employs a quasi-experimental design involving a 10-week training program on colour theory. Results show that students who received colour theory training demonstrated significant improvements in both their EI scores and the emotional quality of their design projects compared to a control group. This study contributes valuable insights into how design education can better incorporate emotional intelligence to foster more empathetic and effective designers.
The Influence of Gamified Platforms on Student Engagement in Animation Design
Authors: Xiaoran Ma
Published: January 2025

This study explores the effects of gamified platforms on engagement in animation design education. To this end, the current study integrates points, badges, leaderboards, and challenges into a gamification platform to meet the requirements of animation design, namely creativity, technical mastery, and motivation. The quasi-experimental design was adopted, wherein engagement metrics of students working with a gamified interface were compared with those in a conventional learning environment. The gamified group emerged as having a significantly higher completion rate on the tasks, duration of sessions, and collaboration scores compared to the non-gamified condition. Supporting this, qualitative feedback by participants further recommended that gamification boosts motivation, reduces stress, and promotes teamwork. This indicates the possibilities of such platforms in making the learning experience more engaging in creative disciplines while in play. This concludes with recommendations for including gamification in curricula related to animation design, along with avenues for further research on the long-term impact on learning outcomes and creativity.
Recent Analytical Techniques for Encrustation in Ureteral Stents: A Review
Authors: Halah Hadi Salih
Published: January 2025

The purpose of this review is to explore the issue of ureteral stent encrustation, a common complication following stent placement, and to examine recent advancements in the literature regarding its prevention and management. This review synthesizes peer-reviewed studies and methods for analyzing and evaluating ureteral stent encrustation, as well as emerging technologies aimed at addressing the challenges associated with this issue. The focus is on understanding the mechanisms behind encrustation, which can involve crystalline biofilms alone or in conjunction with bacterial biofilms. Recent research highlights the significant challenges posed by stent encrustation, including its impact on patient outcomes and the potential for serious complications. Various analytical methods for evaluating encrustation, along with advancements in stent design and coatings, have been explored to mitigate these issues. Given the growing concerns about complications from ureteral stent placement, particularly encrustation, continued research into innovative stent technologies and effective methods for preventing and managing encrustation is critical to improving patient care and outcomes.
Assessment of Compensatory Gain on Land Resource Utilization: Insights for Engineering and Environmental Sustainability from China
Authors: Huilin Xia
Published: January 2025

Since China's economic reform in 1978, the utilization of land resources has significantly contributed to material and environmental support for economic growth and industrial progress. However, the distributional effects of compensatory gains from land resources have shown disparities, particularly between urban and rural populations, with rural residents benefiting less from land appreciation. Despite its critical role in engineering sustainable development and environmental management, limited research has focused on the economic and environmental implications of these compensatory gains and their distribution.This study integrates the Marxian theory of land rent to define the economic and environmental attributes of compensa-tory gains from land resources, emphasizing their distributional impacts across 29 Chinese provinces from 2007 to 2021. Additionally, land development intensity is introduced as a moderating variable to explore its influence on the equitable use of land for industrial and environmental purposes.The findings indicate that compensatory gains from land resources exacerbate distributional inequities, with significant implications for sustainable land resource management and regional development. The moderating effect of land devel-opment intensity highlights that higher levels of land openness mitigate the widening inequities caused by compensatory gains. These insights are critical for policymakers to enhance land resource utilization in a manner that supports industri-al engineering, environmental sustainability, and socioeconomic equity.
The Application and Optimization of Extensive Data Analysis in the Evaluation of the Effect of Marketing Strategies on Agricultural Machinery Enterprises
Authors: Wei Shen
Published: January 2025

It is well known that one of the most important things for businesses to grow is to make decisions. There are many issues for them, and most of them involve money. AI models will be used to determine how the chosen agroeconomic factors connect to data from digital marketing in this study. Explaining how these measures decide what to do in detail is essential. On the websites of five well-known farming companies, the numbers of the indexes were written down and put together to make a collection. Stress and sadness tests were used to see if the score had anything to do with information about how farming companies use digital marketing. ANN models were used to make these links work so that they could be used. It's important to know where the advertising traffic comes from, the business costs paid and those not. These steps allow this link to work. Many people are telling big farming companies to spend more on the AI and digital marketing data apps they like.They will learn more about how to get a job in their field and how prices for things like tools, medicines, and farm supplies change over time. After reading this, they can make better choices and business ideas.
Analyzing the Relationship between Talent Management, Transformational Leadership, Organizational Commitment, and Emotional Intelligence: An In-Depth Literature Review
Authors: Laith Yousef Rababa
Published: January 2025

In the quickly changing business environment, maintaining a competitive edge requires effective talent management. This literature review explores the intricate relationship between talent management, transformational leadership, organizational commitment, and emotional intelligence. By analyzing existing research, it sheds light on how aligning talent management strategies with organizational objectives and employee aspirations fosters greater commitment. Emphasizing the role of emotional intelligence, the review highlights its impact on nurturing employee dedication, particularly in terms of affective commitment. However, its influence on continuance commitment is less pronounced. Additionally, visionary leadership is identified as crucial, especially in service-oriented SMEs, for bolstering organizational commitment. Furthermore, the review underscores perceived organizational support as a mediator between talent designation and affective commitment. Overall, this study offers valuable insights into optimizing human capital strategies, enhancing employee engagement, and improving retention in today's competitive business landscape.
Designing an innovative electronic system for hip stability and its impact on certain attacking skills for seated volleyball players
Authors: Omar Hamad Khalaf
Published: January 2025

The goal of the research is to analyze the effect of this design on the accuracy of specific attacking skills and to build a novel electrical system for hip stability for seated volleyball players. Under the direction of the Iraqi Paralympic Committee/ Diyala Branch, the research sample was chosen from physically impaired seated volleyball players for the 2023–2024 season. The twelve players were split into two groups at random, one for the experimental group and the other for the control group, with six players in each group. They were divided into two more groups to complete the necessary experiments. The study concluded that the unique hip stability design and associated exercises had a positive impact on the accuracy with which seated volleyball players perform certain attacking skills. Considering these findings, coaches are advised to use this electronic system as a teaching tool to improve player performance and decrease hip lifting infractions during games considering these findings. The use of modern technologies in training sessions should also be prioritized, keeping in mind the unique characteristics and ages of seated volleyball players. These suggestions highlight how crucial it is to use technology to enhance the sitting volleyball performance of athletes with physical disabilities and to create training regimens that adequately suit their requirements.
Application of Static State Estimator in Boilers of Thermal Power Stations
Authors: Hamed Shaker
Published: January 2025

Controlling bad data is one of the most important challenges in power systems because it affects the continuity of plants operation in an appropriate way. Bad data can appear morely in the control center of thermal power plants due to the malfunctioning of sensors which feeding the central processing unit (CPU) through wireless or cables communication system. The happened malfunctioning is because of the harsh environment especially in the boiler sections where an elevated temperature results due to fuel combustion. The bad data may cause inaccurate decisions from the central unit which may lead to sudden shutdowns of the overall station. The sudden shutdown results in losses in the generation of electrical energy where restarting the station requires long time to reach steady state operation. The bad data can be treated by an estimator based on suitable mathematical model. In this paper an estimator is presented to treat the bad data received from the boiler of the thermal power stations. The mathematical model of the estimator is written to simulate the boiler system based on heat transfer principles. The weighted least squares algorithm technique (WLS) is selected to execute the state estimator. The effectiveness of the estimator is tested by inserting white noise and bad data. The results show that the estimator is effective where it can identify bad data. The presented estimator is applied on the boiler of Al-Doura in Baghdad thermal station as a case study, due to the low performance of metering system of this plant. The results show that the estimator can detect and identify even to 10 bad data in the same time at a redundancy ratio of 2.125.
Driving Impact of Sci-Tech Finance on Companies’ Green Productivity: An Empirical Analysis Using High-Dimensional Fixed Effects and Difference-in-Differences Models
Authors: Bowen Li
Published: January 2025

Achieving high-quality economic performance and cultivating new quality productive forces are important goals of the Chinese government currently. Green development serves as a foundation for high-quality economic performance, where new quality productive forces are essentially green productivity. Sci-tech finance refers to a financing framework aimed at fostering technological innovation and advancing the commercialization of R&D achievements. To investigate how the development of Sci-tech finance influences companies’ green productivity, this research utilizes panel data from listed companies in Zhejiang Province from 2007 to 2021, using high-dimensional fixed effects model and difference-in-differences model. The findings reveal that Sci-tech finance plays a crucial role in boosting companies’ green total factor productivity, encouraging green patent applications, and driving the cultivation and growth of green productivity. Heterogeneity analysis shows that the impact of sci-tech finance is particularly significant in high-income regions, private companies, small and medium-sized enterprises, and firms not audited by the Big Four accounting firms. Furthermore, by constructing a quasi-natural experiment, it is verified that the “Pilot policy for synergizing technology and finance” considerably boosts the green productivity of companies in pilot cities. Finally, the research makes policy proposals for the growth of green productivity in companies, such as strengthening Sci-tech finance policy support, promoting regional coordinated development, and providing more financing channels for small and medium-sized companies.