bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role and Role of Digital Governance in Improving Government Transparency and Citizen Engagement
Authors: Cao Jiaqi 
Published: November 2024

Abstract
This paper designs relevant questionnaires according to the needs of this research, obtains basic data through the questionnaires, and explores the intrinsic role mechanism between the influencing factors of the dimensions of digital governance and the roles and functions in government transparency and citizen participation through structural equation modeling and regression analysis. The results show that government transparency and citizen participation have a positive effect on digital governance, with a p-value of less than 0.05. In the detailed description, the three dimensions of openness, interactivity, and selectivity of public participation in digital governance in X county positively affect the five dimensions of information integration and scientific decision-making ability, benign communication, and collaborative ability in digital governance capacity. The transparency of government procurement will be positively impacted by the investment of science and technology funding, and the correlation between GDP per capita and transparency of government procurement is 10%.
Research on Intelligent Analysis Model of Tourism Consumers’ Purchase Intention and Its Application Practice in E-commerce Platforms
Authors: Ma Weina , Chen Yong See 
Published: November 2024

Abstract
Tourism consumption, as a special type of daily consumption, has significant features that distinguish it from other types of consumption. The purpose of this paper is to summarize and extract the feature engineering in tourism consumption, encode the feature engineering in tourism consumption behaviors using the Transformer model, and predict consumer purchase intention. After the performance evaluation of the Transformer-based consumer purchase intention analysis model constructed in this paper, it is applied to the e-commerce platform, taking the dynamic pricing strategy of the e-commerce platform as the entry point and analyzing the application effect of the model in the optimal inventory time path, the optimal price of the platform, and the expected revenue. The transformer-based consumer purchase intention analysis model in this paper is significantly better than other prediction models in AUC, accuracy, precision, recall, and F1. When applied to e-commerce platforms, this paper’s model helps to realize the inventory equilibrium state between inbound enterprises and e-commerce platforms, which improves the overall revenue of both parties. When time t=40 or inventory n=30, the optimal online store price of the platform after the model is lower than the price before the model is applied, and consumers can enjoy a better purchasing experience. t=40 or n=30, the total expected revenue of both parties after the model is higher than the total expected revenue before the model is applied. This paper shows that the Transformer-based consumer purchase intention analysis model can positively impact the dynamic pricing of e-commerce platforms.
A Practical Study of Higher Vocational School-Enterprise Cooperation in Developing Business English Modular Online Courses Based on Data Mining
Authors: Dai Yanli , Wang Jingyan 
Published: November 2024

Abstract
A large amount of learning behavior data is generated in online course education, and the correlation between these data can be effectively mined by using data mining and behavior analysis techniques. In collaboration with higher vocational schools and enterprises, this paper develops and enhances the modular business English boutique online open course on the SPOC teaching platform. Relying on the business English boutique online open course, we are exploring an effective new teaching mode. Clustering analysis of online learning behavior using K-Means algorithm, dividing learning status, achieving short-term monitoring and evaluation of online learning behavior. Investigate the potential relationship between grades by mining the association rules of grades in two semesters using the Apriori algorithm. To study the changes in students’ learning effects and motivation under the new teaching mode, qualitative and quantitative analyses are utilized. The experimental analysis shows that there are 2 peaks in the distribution of students’ learning hours during the learning process of the SPOC “Business English” course: fragmented learning within 0~5min and classroom-based learning around 41~45min. By using data analysis, it is possible to gain a more accurate understanding of their learning situation and develop effective learning programs.
Modeling the Impact of Virtual Reality Technology Integration for Snow and Ice Sports on Enhancing Regional Sports Tourism Economy
Authors: Wang Ning , Zhao Ping , Wang Xing , Wang Yixuan 
Published: November 2024

Abstract
In order to reveal the relationship between the integration of ice and snow sports virtual reality technology and the regional sports tourism economy, this paper establishes a structural equation model for ice and snow sports VR and sports tourism economy. Determine the latent variables and observed variables in the structural equation model (i.e., questionnaire items), take the online distribution of questionnaires to obtain the research data in this paper, and use the model in this paper to explore and analyze the integration of ice and snow sports virtual reality technology and regional sports tourism economies. The questionnaires developed in this paper meet the standard requirements of the reliability test, and the fitting indexes of the model have reached the state of conformity, as shown by the results. The path coefficients of the latent variable (VR experience quality) to the observed variables (Q11, Q12, Q13, Q14) are 0.555, 0.409, 0.344, and 0.348, respectively, and the non-standard coefficient of the quality of ice and snow sports VR experience (Q1) to the local sports tourism economy (Q4) is 0.941, P<0.05, which confirms that the ice and snow sports VR experience has a positive impact on the local sports tourism economy promotion effect.
Intelligent education technology empowers the integration of industry and education to boost the innovation and improvement of talent cultivation practice in colleges and universities
Authors: Yi Yuting 
Published: November 2024

Abstract
In order to boost the innovation and improvement of talent cultivation practice in colleges and universities, the talent cultivation model of integrated intelligent technology and industry-teaching integration is proposed. Based on the research purpose of talent cultivation, the questionnaire was designed after reliability and validity calibration. The model of this paper was validated and analyzed by using an independent sample t-test. After analysis, it was found that this paper’s model has a significant difference in both student performance and talent cultivation quality (P<0.05), while the traditional model does not have a significant difference (P>0.05). It is concluded that compared with the traditional talent cultivation model, the talent cultivation model designed in this paper with integrated intelligent technology and industry-teaching fusion has a more significant enhancement effect, and it has a significant promotion effect on the innovation and quality of talent cultivation practice in colleges and universities.
A graph-theoretic analytical study of the influence of ideological and political education on the mentality of employment and entrepreneurship of college students
Authors: Zhou Chengjun 
Published: November 2024

Abstract
According to the actual education situation in colleges and universities, revealing the ideological and political education and employment and entrepreneurship mentality characteristics, selecting the research object and designing the questionnaire based on the research objectives. The questionnaire was formally distributed to obtain research data for this paper, and then the reliability test was conducted on it. Comprehensive research data, Pearson’s correlation coefficient, multiple linear regression model and graph theory were used to jointly explore the influence of ideological and political education on the employment and entrepreneurship mentality of college students. The results show that the Pearson correlation coefficients of virtual practicability (D1), interactive subjectivity (D2), latent permeability (D3), technological iterative (D4) and employment and entrepreneurship mentality (D5) are -0.079, 0.129, 0.043, -0.196, respectively, and the corresponding regression equations are, college students’ employment and entrepreneurship mentality = 0.359 + 0.188*virtual practicability (D1) + 0.158*interactive subjectivity (D2) + 0.147*subliminal permeability (D3) + 0.179*technological iterative (D4). It intuitively demonstrates the influence of ideological and political education on college students’ employment and entrepreneurship mentality, deepens people’s cognition of the relationship between the two, and promotes the development of education and talent cultivation in colleges and universities.
Optimization study of a dynamic assessment model of physical fitness for youth basketball training
Authors: Ge Chenxuan 
Published: November 2024

Abstract
Physical fitness assessment is of great significance for the design and adjustment of youth basketball training, and talent selection and evaluation of training teams. In this paper, a dynamic assessment model of physical fitness and health is designed, and a convolutional neural network and autoencoder are used to achieve feature learning of raw body side data. According to the learning results, the Gaussian mixture model is selected for physical fitness assessment, and the quantitative evaluation method of physical fitness is established based on the parameter-solving results of the EM algorithm. The ablation experiment demonstrates that the model in this paper has a low feature loss and excellent convergence, and the mAP value is 89.12%, which is the most accurate performance. The comprehensive accuracy of the assessment reaches 97.5%, indicating that the assessment performance of the dynamic assessment model of physical fitness and health proposed in this paper is better and can provide help for youth basketball training.
Optimized Design of Instrument Recognition Based on CNN Model
Authors: Jiao Yanbing , Lin Xiaoguang 
Published: November 2024

Abstract
Intelligent recognition of instrument features plays an important role in automation management and overhaul and also facilitates the realization of accurate reading of key parameters in complex environments. The instrument dial intelligent recognition system proposed in this paper consists of geometry correction, pointer segmentation, and reading recognition modules. Combining the idea of the GhostNet model to improve the structure of the backbone network of the Mask RCNN model, the attention mechanism is introduced into the U-Net model, and the minimum outer rectangle method is used for reading recognition. Under different viewpoint rotation angles, the recognition errors of this paper’s method are relatively stable, and they are less than 1%. The region segmentation precision, recall, and accuracy are 99.39%, 99.05%, and 98.38%, respectively. The average error of the recognition results is only -0.04°C, which is satisfactory for instrument recognition.
A study of methods to improve pedagogical interactivity using data visualization in tourism education
Authors: Liu Wenbin 
Published: November 2024

Abstract
The application of big data visualization in teaching is becoming more and more common. The study introduces this method into tourism education and combines it with “educational data narrative” to jointly construct a visual learning analysis framework based on “educational data narrative”. To determine the purpose of the study and the research object, we set up a controlled teaching experiment for tourism education in colleges and universities and conducted a pre-and post-test to verify the academic levels of the experimental group and the control group. The classroom behaviors of the experimental group before and after the experiment were further observed and counted to investigate the effectiveness of the teaching method in improving teaching interactivity from the perspective of classroom emotional atmosphere, teacher’s influence in the classroom, student interaction, and classroom structure as a whole. Before the experiment, the performance of the experimental group and the control group in the six courses of tourism management majors was similar, with no significant differences. The experiment resulted in significant P-values at the 1% level for both groups on the 6 courses, and the experimental group had a significantly higher academic level than the control group. In terms of emotional climate in the classroom, the experimental group fell in the positive integration grid ratio, which was improved, and the defective grid ratio decreased after the experiment. Teachers had an indirect influence ratio of 32.75% and a direct influence ratio of 8.73%, respectively. The ratio of students’ verbal behavior was 29.26%. The teacher’s speech ratio, student’s speech ratio, silence ratio, and technology ratio were 41.48%, 29.26%, 7.86%, and 21.40%, respectively. Traveling classroom interactivity has obviously improved.
Research on the Communication Effect and Inheritance Strategy of Chinese National Community Consciousness in Virtual Reality Environment
Authors: Zhu Xianwen 
Published: November 2024

Abstract
Casting a firm sense of the Chinese national community is the main line of ethnic work in the new era, and it has an important significance in social dynamics for realizing the great rejuvenation of the Chinese nation. The study examines and evaluates the communication impact of Chinese national community consciousness on the virtual reality scene. Based on the constructed communication effect evaluation index system, a questionnaire survey is designed to measure the communication value of Chinese national community consciousness. Then, the communication value in the virtual reality scene is compared with the data, video and text communication forms, and the communication value of the virtual reality scene reaches 4.2 points, which is much higher than the other three forms of communication. Different evaluation indexes show significant differences between all four forms of communication through difference analysis. The Chinese national community’s consciousness can be inherited from three aspects: curriculum design, activity planning, education, and publicity.
Research on the Application of New Media Technology and the Interaction Mechanism of Party Members in Party Building Work
Authors: Chen Feier , Wang Lanwen , Shen Shiming 
Published: November 2024

Abstract
The application of new media technology accelerates the informatization and modernization of party building work. For the construction of party members’ interactive mechanism, the study builds a smart party building cloud platform, which covers five modules: party members’ management, organizational structure management, information exchange and interaction, learning and training support, and data analysis and decision support. In order to investigate the effect of the intelligent party building cloud platform on the construction of party members’ interactive mechanism, an evaluation model of the construction effect of party members’ interactive mechanism is established by using the combination of the three-scaled AHP method and fuzzy theory. The intelligent party building cloud platform has a comprehensive evaluation value of 0.569 for the construction effect of party members’ interaction mechanism, which is considered to be of better construction effectiveness according to the model. Combined with the results of the study, specific countermeasures for the long-term implementation of party members’ interactive mechanism are proposed from the three aspects of organization, system, and funding.
Bio-potent aryl ketoximes
Authors: Gayathri Paneerselvam , Divya Jaganathan , Muthuvel Inbasekaran , Mayavel Perumal , Usha Veeramalai , Nalini Selladurai , Manikandan Venkatesan , Sundararajan Rajasekaran , Arulkumaran Ranganathan , Sakthinathan Saravanan Palanivel , Thirunarayanan Ganesamoorthy 
Published: November 2024

Abstract
Four aryl ketoximes were synthesized by potassium hydrogen phthalate catalyzed condensation of aryl ketones and hydroxylamine hydrochloride under conventional heating in ethanol medium. The yield of this condensation is more than 75%. The synthesized ketoximes were characterized by their physico-chemical constants and spectroscopic data. The ligand-protein interactions ability of these ketoximes were studied by molecular docking method. The antimicrobial activities of these ketoximes were assess by Bauer-Kirby disc diffusion methods against selective microorganisms.
Analyzing Jordan's National Security Council Framework: Safeguarding Sovereignty
Authors: Abu Azam Sadam 
Published: November 2024

Abstract
This study explores the factors influencing national security effectiveness by examining structure and functionality, interagency coordination, policy alignment, and democratic governance. It also identifies key areas for improvement. The aim is to evaluate how these elements impact national security outcomes. The study surveyed 470 officials across the Palace of Justice, achieving a 78% response rate. Using SPSS (Statistical Package for the Social Sciences), the study demonstrates that structure and functionality, interagency coordination, policy alignment, and democratic governance significantly impact national security. It further shows that improvements in key areas have a substantial positive effect. The article contributes original insights into enhancing national security strategies through targeted structural and oversight mechanisms, offering practical recommendations for policy and operational improvements.
Towards a Unified Framework for District Heating Resilience
Authors: Priedniece Vivita , Pakere Ieva , Krigers Guntars , Blumberga Dagnija 
Published: November 2024

Abstract
Ensuring an uninterrupted supply of energy, electricity, and heat is becoming a pressing necessity. Resilience is the ability of a system to recover from adversity and in connection with the critical infrastructure – the ability to prepare for and adapt to changing conditions, and withstand and recover rapidly from disruptions. If energy resilience has not been well considered or even ignored in the planning, design, and operation stages in district energy communities can lead to system fragility and vulnerability. Therefore, the research assesses the different methods for resilience assessment in energy systems by focusing on district heating. Based on current studies, the energy resilience assessment is mainly considered for the electricity transmission system. The study on heat supply resilience is limited. During the research of the literature, it has been concluded that there is no consistent quantitative and quality approach to resilience because there is no consistent treatment of the concept of resilience. There is a need for a fundamental generic quantitative and quality approach for resilience, which can be used for the development of resilient systems and effective resilience strategies for district heating systems.
نموذج مقترح لتطبيق معيار المراجعة الإجراءات التحليلية (رقم 520) لقياس الجدارة الائتمانية للعملاء(بالتطبيق على أرصدة حسابات العملاء لمختبرات الأول الطبية لسنة 2021)
Authors: عبد الرحيم الفاتح الأمين , الهادي عبدالحق مكي 
Published: November 2024

هدفت هذه الدراسة الي محاولة وضع اطار علمي يمكن المراجعين من استخدام معيار المراجعة رقم 520 الخاص بالإجراءات التحليلية لتحديد الجدارة الائتمانية للعلاء والتعرف علي أثر تطبيق معيار المراجعة رقم 520 الخاص بالإجراءات التحليلية علي تصنيف العملاء وفق مستويات الجدارة الائتمانية المختلفة ، ولتحقيق أهداف الدراسة تم استخدام المنهج الوصفي التحليلي حيث كان مجتمع الدراسة هو المؤسسات التجارية والخدمية ، أما عينة الدراسة فتتمثل في القطاع الخدمي تطبيقا علي مختبرات الأول الطبية والسبب في اختيار مختبرات الأول الطبية في انها تمثل مجموعة مهمة من شريحة القطاع الخدمي منتشرة في العديد من الفروع في المملكة العربية السعودية وكأداة أولية لجمع البيانات تم الحصول علي مجموعة من عملاء مختبر الأول الطبي وتم تطبيق معيار المراجعة رقم 520 الخاص بالإجراءات التحليلية عليها ، وتوصلت الدراسة الي العديد من النتائج منها : أن تطبيق معيار المراجعة رقم 520 يساهم في تصنيف العملاء الي مستويات مختلفة من الجدارة الائتمانية تمكن المراجع وإدارة الائتمان علي حد سواء من اتخاذ القرارات المناسبة .تطبيق معيار المراجعة رقم 520 الخاص بالإجراءات التحليلية يساهم في وضع مؤشرات مبكره تنذر بوجود عملاء تحت تصنيف الجدارة الائتمانية المنخفضة ومن ثم يقوم المراجع باستخدام برامج مراجعه اخري لبند العملاء كالحصول علي المصادقات للعملاء أصحاب الجدارة الائتمانية المنخفضة.
قياس وتحليل العوامل المؤثرة في التوازن المالي للمصارف دراسة تحليلية على عينة من المصارف المدرجة في بورصة عمان للأوراق المالية للمدة (2000-2021)
Authors: يوسف رواء أحمد 
Published: November 2024

يهدف البحث الى اختبار العوامل ( المتغيرات ) التي يكون لها القدرة على تحقيق التوازن المالي اكثر من غيرها من العوامل الاخرى في المصارف التجارية ، باستخدام عينة من (12) مصرف تجاري مدرج في بورصة عمان للأوراق المالية للمدة من (2000-2021) وقد تم اختيار مؤشرات مالية لقياس التوازن المالي هي مؤشر ( القدرة الائتمانية ، ومؤشر الربحية ، مؤشر السيولة ، مؤشر كفاية راس المال ومؤشر المرونة المالية ) واستخدام المنهج الوصفي و التحليلي للبيانات و المعلومات الواردة في القوائم المالية للمصارف المبحوثة ، كما استخدم اسلوب التحليل العاملي واستخدام البرنامج الاحصائي (SPSS) لاختبار الفرضية و الاجابة عن التساؤل المتعلق بمشكلة الدراسة و الوصول الى الاهداف ، كما توصل البحث الى مجموعة من النتائج أهمها بينت نتائج التحليل صحة الفرضية التي تشير بان هناك مجموعة من العوامل التي تؤثر على قدرة المصارف المبحوثة في تحقيق التوازن المالي اذ اتضح تفاوت في تأثير مؤشرات التوازن المالي على المركز المالي للمصارف، كما قدم البحث مجموعة من التوصيات اهمها: ضرورة قيام المصارف بتنويع المحفظة الاقراضية وتجنب مشاكل التركز الائتماني الذي يؤثر على التوازن المالي للمصارف في حالة زيادة القروض المتعثرة.
Physical Therapy Utilization Prior to Biceps Tenodesis or Tenotomy for Biceps Tendinopathy
Authors: McDevitt Amy , Cleland Joshua , Hiefield Paisley , Bravman Jonathan , Snodgrass Suzanne 
Published: November 2024

Introduction Surgery for the management of individuals with long head of the biceps tendon (LHBT) tendinopathy is common. Little is known about physical therapy (PT) utilization prior to surgery. The purpose of this review was to investigate the use of PT prior to biceps tenodesis and tenotomy surgeries by assessing the number of visits and the types of interventions. A secondary objective was to report on themes of PT interventions. Methods A retrospective observational cohort study design was used to analyze medical records and report on patient visits, procedure codes based on active or passive interventions, and themes of interventions utilized by PT. Results Patient records (n=308) were screened for eligibility, n=62 (20.1%) patients attended PT prior to surgery. The median number of PT visits was four (IQR=3.5), and 39/62 (63%) patients had four or more visits to PT. Active interventions were used in 54.5% (533/978) of the codes billed; passive interventions were used in 45.5% (445/978) of the codes. There was high utilization of therapeutic exercise [93.4% (498/533) of active procedure codes] including muscle performance/resistance, functional activity, motor control and stretching. Manual therapy [84.3% (375/445) of passive procedure codes] included soft tissue mobilization, non-thrust manipulation (glenohumeral joint and cervical spine) and thrust manipulation (thoracic spine). Conclusions PT was not commonly utilized prior to undergoing biceps tenodesis and tenotomy surgery. Further research is needed to understand the reasons for low utilization. Level of Evidence 3b