bluuebunny/crossref_metadata_2025_split huggingface dataset:
Security and Risk Control of Enterprise Supply Chain Finance in the Context of Digital Economy
Authors: Chen Xi 
Published: November 2024

Abstract
The widespread application of new-generation information technologies, such as the Internet of Things (IoT), has brought about significant changes in the operating environments of enterprises and the supply chains in which they operate. At the same time, enterprises aim to maximize profits while minimizing enterprise risks. This paper examines the risk assessment of enterprises in supply chain finance based on the relevant literature review. First of all, after combing and defining the relevant applications of digital technology in enterprise risk prevention and control, a Logistic enterprise risk assessment model under supply chain finance is constructed, and the parameters of the model are optimally selected and estimated for testing. The main factors affecting enterprise risk are analyzed from four dimensions: enterprise, core enterprise, financing asset risk and supply chain-related aspects, and a set of index systems suitable for enterprise risk assessment under supply chain finance is established by using correlation analysis, RF and Lasso regression methods. x3, x4, x5, x6, x7, x9 and x15 are negatively correlated with the enterprise risk, and the gross profit margin and the top five customers’ gross profit margin are negatively correlated with the enterprise risk, while sales and profit margin are negatively correlated with the top five customers’ gross profit margin. The correlation between enterprise credit risk and gross margin and the proportion of sales revenue from the top five customers is positive. The accuracy of prediction of the evaluation model is 93.3%. It can be seen that the proposed logistic assessment model is reasonable and effective, and can be practically applied in the security and risk control of enterprise supply chain finance.
Dynamic analysis of nonlinear features for high-precision fault diagnosis of large pumps and compressors in oil and gas fields
Authors: Cui Jian , Dong Lei , Sun Xueyi , Yang Xiaotong , Lei Ming 
Published: November 2024

Abstract
The nonlinear and dynamic complexity of the oil and gas engineering system itself leads to an increase in the chances of accidents in the system, and the financial and material losses caused by system failures are incalculable. The study proposes a new fault diagnosis method based on evidence theory and the KPCA algorithm, and analyzes the fault characteristics of large pumps, compressors, and other high-precision equipment under high-speed operation. A set of fault feature vectors reflecting the change of nonlinear characteristics of the system is extracted, and the similarity between the patterns is used to obtain the mass function of each evidence. The simulation experiment results show that the fault diagnosis accuracy, leakage rate and F1 score of the DS-KPCA algorithm in the TE process dataset are 97.56%, 1.98% and 98.99%, respectively, and the method is significantly better than the traditional method in fault detection. Practical application shows that in the production process of oil and gas fields, this rapid fault processing method is characterized by clarity, speed, and accuracy, which significantly improves the efficiency and accuracy of fault processing.
Research on logistics cooperative scheduling method based on multi-intelligent body system in supply chain management
Authors: Guo Yirong , Zhang Xuefeng , Zhang Shaoqing 
Published: November 2024

Abstract
Collaborative scheduling of logistics is one of the core problems in supply chain management. In this paper, a multi-intelligent system is used to establish the path planning algorithm of intelligent bodies and optimize logistics scheduling in the supply chain by improving the ant colony algorithm. The improved MAPPO algorithm is obtained by introducing the deformation encoder and attention mechanism on the basis of MAPPO to realize information synergy between multiple intelligences. The candidate order table is established to update the local and global pheromones, and the ACO algorithm is improved with the help of adaptive adjustment of volatility coefficients to avoid the basic ACO algorithm from falling into a local optimum in the object classification scheduling problem. The improved MAPPO algorithm significantly outperforms other algorithms in terms of convergence speed and stability in multi-intelligent body fixed and non-fixed goal path planning, and the path planning results and reasoning time also show obvious superiority among the compared algorithms. Taking the logistics scheduling of peaches as an example, the algorithm in this paper can significantly save costs and reduce the delayed pre-cooling cost to 0, effectively solving the problem of pre-cooling delay in logistics scheduling.
Research on Informatization Construction and Teaching Reform Path of Physical Education Teaching in Colleges and Universities
Authors: Li Hao 
Published: November 2024

Abstract
Firstly, the improved OpenPose is used to obtain the skeletal point coordinate data and normalized, and then the human gesture features are extracted according to the spatial geometric relationship of human morphology to improve the differentiation degree of the gesture features on similar actions in the basic sports actions, which is used for the gesture matching of the basic sports actions. On this basis, the DTW posture matching algorithm based on human differentiated posture features is proposed, which realizes the posture matching and carries out the evaluation and result feedback of students’ sports movements. Finally, we construct a sports movement evaluation system based on the aforementioned method, which compares the movement video with the standard movement from the template library and provides feedback on the movement’s evaluation results. The system allows teachers to access the learning situations of numerous students’ movements, while the system provides feedback for movement learners to adjust their movements, thereby facilitating a convenient and informative interaction in sports movement teaching. After seven weeks of experimentation, there is a significant difference between the assessment scores of the experimental group and the control group, and 90% of the students are satisfied with the application of the sports movement assessment teaching system to assist teaching. It proves that the intelligent teaching structure and diversified teaching methods promote students’ learning efficiency and performance, significantly improve students’ motivation to learn physical education courses, and further improve the demand for an information-based teaching environment.
A Study on Optimizing Teaching Assessment Methods in Mathematical Modeling Courses by Combining Big Data Analytics Techniques
Authors: Li Yanyan 
Published: November 2024

Abstract
In this paper, starting from the teaching practice of mathematical modeling courses in colleges and universities, the application of fuzzy mathematical theory in teaching evaluation systems is studied, and the fuzzy evaluation model established by using fuzzy mathematics is analyzed and designed in depth, and the fuzzy matrix arithmetic process is given to realize the construction of a fuzzy comprehensive judging model. Given the substantial volume of data gathered to assess the teaching performance of teachers in mathematical modeling courses, direct classification is a challenging task. This paper introduces an unsupervised K-means algorithm that quickly classifies all the collected data and builds a teaching evaluation system for university mathematical modeling courses using relevant web development techniques. This paper's teaching evaluation system is helpful for teachers to improve their teaching situation and adjust their teaching strategies in a timely manner. The cluster analysis organized the teachers into four categories: excellent, good, moderate, and poor. The evaluation results were obtained after evaluating the fuzzy comprehensive evaluation model. The system's evaluation results in this paper demonstrate a confidence level of more than 0.85. It shows that the system is more reasonable, and its use accelerates the efficiency of teaching evaluation in the mathematical modeling course in colleges and universities, which greatly improves teaching management.
Optimization of sustainable development path of grassland ecotourism in Hulunbeier City based on data mining technology
Authors: Zhao Yiding , Chang An 
Published: November 2024

Abstract
In recent years, the status of ecotourism in mass tourism has gradually increased, among which the grassland ecotourism market is booming. The study uses data mining techniques to extract POI data for grassland ecotourism in Hulunbeier City. The mined POI data of grassland ecotourism in Hulunbeier City are analyzed by using nearest-neighbor distance index analysis, multi-distance spatial clustering, kernel density estimation, standard deviation ellipse, and geodetector model to explore the spatial agglomeration characteristics of grassland ecotourism in Hulunbeier City, the grassland tourism development pattern, and the influencing factors of grassland ecotourism. Accordingly, the sustainable development of grassland tourism in Hulunbuir City is proposed. The nearest neighbor index (NNI) value of grassland tourism in Hulunbuir City is 0.64 (less than 1), and the NNI index of the 13 flags (cities and districts) under the jurisdiction of Hulunbuir City is less than 1, which indicates that the grassland tourism industry is characterized by agglomeration and distribution within the city of Hulunbuir. The grassland ecotourism industry in Hulunbuir City presents a spatial distribution pattern of “multi-core agglomeration” with large agglomeration and small dispersion. The high-density cores are located in New Barkhu Left Banner, Manzhouli, Hailar District, Chenbalhu Banner, and Ergunar City. There are eight subdivided types of grassland tourism development patterns in Hulunbeier City. The four major categories of single dominant, double dominant, strong integrated, and weak integrated accounted for 34.11%, 23.55%, 7.09%, and 35.25% of the total, respectively. The spatial distribution of tourism in Hulunbeier Grassland is more influenced by natural geographic factors than socio-economic factors.
Kinetic modelling of olanzapine interactions with ciprofloxacin and norfloxacin in adult male Wistar rats: unraveling the mechanism of drug-drug interaction
Authors: Chirali Ana-Elena , Ciocotişan Iulia Maria , Vlase Ana-Maria , Muntean Dana Maria , Vlase Laurian 
Published: November 2024

Abstract
This study aimed to investigate the kinetic modelling of drug-drug interactions between olanzapine and the antibiotics fluoroquinolone, ciprofloxacin and norfloxacin, using a three-step compartmental modelling approach. Olanzapine is metabolized mainly by CYP1A2, which is inhibited by both antibiotics, affecting its disposition in the body. The proposed models evaluated the absorption, distribution, metabolism, and excretion of olanzapine and its main metabolite, N-desmethyl olanzapine, given alone and during co-administration with antibiotics. Ciprofloxacin completely inhibited presystemic metabolism, resulting in a 2.2-fold increase in olanzapine exposure, whereas norfloxacin reduced but did not eliminate this metabolic pathway, resulting in a 3.2-fold increase in olanzapine exposure. Both antibiotics also reduced the clearance of N-desmethyl olanzapine, leading to increased concentrations of the metabolite. These results provide insight into the kinetic interactions between olanzapine and fluoroquinolones, helping to optimize dosing strategies when co-administration is nedeed.
An Examination of Civil Servants’ Assessment of the New Civil Service Reforms in Kazakhstan
Authors: Issenova Gulnara , Bokayev Baurzhan , Nauryzbek Madina , Torebekova Zulfiya , Kosherbayeva Aigul , Amirova Aigerim 
Published: November 2024

Abstract
In recent years, Kazakhstan has demonstrated a strong commitment to make the civil service system open and transparent to its citizens. The country has introduced an e-government system to improve access to information and allow public consultation on civil service. Reforms of the civil service aim to reduce corruption in the civil service and to ensure a transition to a career-based model, meritocracy, and result-based remuneration.
This study aims to expand the literature on the civil servants’ appraisal toward new civil service reforms both in Kazakhstan and in worldwide. As a part of the broad investigation, this research provides the results of a sociological survey examining the assessment of civil servants toward recent civil service reforms in Kazakhstan. The survey has been conducted among 14,250 respondents aged 20 years and older from 14 regions of Kazakhstan, including three cities of republican significance and the capital city of the country – Astana. According to the survey results, civil servants are satisfied with the current state of the civil service system in Kazakhstan. The items on satisfaction mainly refer to the working conditions in the government agencies like work schedules and organizational climate. The research further reveals factors influencing the general evaluation of civil servants, as well as the most critical problems in the national civil service system.
Study of the mechanical properties, durability, and microstructure of an ultra-high-performance fiber-reinforced concrete containing recycled fillers
Authors: Lekoui Mohamed Tahar , Kechkar Chiraz , Hebhoub Houria , Messaoudi Karima , Alsayadi Hamid , Benhalilou Mohamed Ichem 
Published: November 2024

Abstract
In this article, a specific mix design of the ultrahigh-performance fiber-reinforced concrete (UHPFRC) was proposed and applied for Algerian materials that are currently in use. In the absence of a general mix design that limits their use and reuses waste materials, the present mix design can help reduce the high manufacturing cost of this type of concrete and make it more environmentally friendly. Here, we have looked for a reference mix design based on local ordinary aggregates, and then, we introduced the recycled fillers from ceramic waste and granulated blast furnace slag into our mix design, and we studied their effects on the properties of the fresh state (density, workability, and air content) and in the hardened state, namely compressive and flexural tensile strength, modulus of elasticity, ultrasonic and sclerometer resistance, as well as durability tests (capillary and immersion absorption, porosity, and chemical resistance). The microstructure analysis was carried out using scanning electron microscopy, complemented by energy-dispersive X-ray spectroscopy. Comparison of the results of UHPFRC using ceramic waste and slag fillers with the control UHPFRC after 28 days shows an increase in compressive strengths of approximately 8 and 7%, respectively, as well as an increase in flexural tensile strengths of 17 and 2%, respectively. In addition, there was a decrease in porosity of 17 and 42%, respectively. The results reveal that it is possible to produce UHPFRC based on local materials and improve its performance, durability, and microstructure with recycled fillers.
Simulating Rolling Element Bearing Defects in Induction Machines
Authors: Floh Florian , Weiss Helmut , Makoschitz Markus 
Published: November 2024

Abstract
The significant occurrence of bearing faults in electrical machines necessitates continuous online monitoring of the machine’s operating data with the main objective of ensuring both high reliability and efficiency and therefore minimising the chance of unwanted breakdowns. This work focuses on the simulation of (defective) bearings, utilising a dedicated model with five degrees of freedom (DOF) (translational motion) in conjunction with an induction motor model. The primary objective is to gain a comprehensive understanding of how faulty bearings influence both the entire bearing itself and the machine, mainly concerning vibration signals and additional frictional torque. Additionally, various shapes of spalls on the raceway(s) are described, analysed and compared. This work is an extended version of the conference paper ‘Simulating Rolling Element Bearing Defects in Induction Machines’, presenting additional information on how to simulate spalls (with different shapes and sizes) on the inner ring of the bearing. Furthermore, the so-obtained vibration signal is examined and a method is proposed aiming to verify the simulation results and to predict the location of the spall (raceway of the inner or outer ring).
دور تدريب الموارد البشرية في بناء قدرات القيادة الإدارية (بالتطبيق على مصرف الساحل والصحراء (الرئاسة)، دولة تشاد
Authors: ضيف الله أبوبكر آدم , حسابو حسابو أحمد 
Published: November 2024

هدفت الدراسة إلى التعرف على آليات تحديد الاحتياجات التدريبية لبناء قدرات القيادة الإدارية في المصرف. تمثلت مشكلة الدراسة في ضعف الاهتمام بتدريب الموارد البشرية بالمؤسسات المالية مما انعكس على بناء قادة يتمتعون بقدرات قيادية، وافترضت الدراسة فرضية رئيسة مفادها وجود علاقة ذات دلالة احصائية بين تدريب الموارد البشرية وبناء قدرات القيادة الادارية. تم استخدام المنهج الوصفي لوصف المتغيرات ذات العلاقة بموضوع الدراسة والمتمثلة في التدريب وبناء القدرات الإدارية، والمنهج التاريخي في تناول الدراسات السابقة والدراسة الميدانية، توصلت الدراسة الي مجموعة من النتائج من ضمنها ان فعالية تحديد الاحتياجات التدريبية تعتمد على فعالية البرامج التدريبية، وأن لدى إدارة البنك خطط تدريبية طموحة تهدف إلى تحسين أداء العاملين، وعلى ضوء النتائج يوصى الباحثان بضرورة تحديد الاحتياجات التدريبية وفقاً للقدرات الحالية للعاملين ومواكبة متطلبات العمل، وضرورة تأهيل وتدريب وتطوير قدرات ومهارات العاملين بالمصرف للاستفادة منهم فى شغل الوظائف القيادية مستقبلاً.
تصنيف المصارف على اساس مؤشر التعافي المالي باستخدام التحليل التميزي بالتطبيق في عينة من المصارف المسجلة في بورصة عمان للأوراق المالية للفترة (2000-2021)
Authors: يوسف رواء أحمد 
Published: November 2024

يهدف البحث الى بناء أطار معرفي لموضوع التعافي المالي، حيث ان القدرة على تصنيف المصارف الى مصارف متعافية ماليا وأخرى غير متعافية ماليا سوف تساعد السلطات المالية في اتخاذ مجموعة من الإجراءات الداعمة للمصارف غير المتعافية ماليا من حيث زيادة كفاية رأس مالها او تخفيض منح القروض غير الجيدة وكذلك تقديم المشورة المالية لها لتحسين وضعها المالي. ويعتمد هذا البحث الى استخدام التحليل التميزي لتصنيف المصارف الاردنية المدرجة في بورصة عمان عينة البحث وللمدة (2000-2021) وفق مؤشر التعافي المالي الى مصارف متعافية ماليا واخرى غير متعافية ماليا، وباستخدام مجموعة من المؤشرات المالية (معدل العائد /اجمالي الموجودات، ورأس المال الممتلك /القروض، رأس المال الممتلك / الودائع) لقياس التعافي المالي واثبات فرضياته، وقد شملت عينة البحث (12) مصرف من المصارف المدرجة في بورصة عمان للأوراق المالية. وقد خلص البحث الى مجموعة من الاستنتاجات والتوصيات، فمن اهم الاستنتاجات ان المعاملات التميزية للمتغيرات كانت كالاتي: رأس المال / القروض (0.867)، معدل العائد / الموجودات (0.482)، رأس المال / الودائع (-0.380) وأن الدالة التمييزية المعيارية ستكون D = -0.380 Log(X1) + 0.482 Log(X2) + 0.867 X3) كذلك انه تم تصنيف المصارف الى مجموعتين :الاولى المتعافية ماليا والتي تضم (بنك الاسكان للتجارة والتمويل ،بنك الاستثمار العربي الاردني ،البنك الاستثماري ،بنك المال الاردني ،بنك القاهرة عمان ،بنك الاردن ،البنك الاهلي الاردني ، البنك العربي ) والثانية : غير متعافية ماليا والتي تضم (البنك الاردني الكويتي ،البنك التجاري الاردني ، بنك الاتحاد ، بنك المؤسسة العربية المصرفية / الاردن ) ومن النتائج يتبين بأن المتغير ( رأس المال / القروض ) يأتي بالدرجة الاولى في التمييز بين المجموعتين ويليه المتغير (معدل العائد / الموجودات ) ويليه المتغير (رأس المال / الودائع ).
Hip and Groin Problems in Female Team-Sport Athletes: A Cross-Sectional Study
Authors: Stadelmann Juan Diego , Reichmann Freddy , Franceschini-Brunner Romana , Mosler Andrea , Maffiuletti Nicola A. , Bizzini Mario 
Published: November 2024

Background Hip and groin problems are common among team-sport athletes. However, few studies have been conducted in female athletes that have used the Doha Agreement classification system to categorize these problems. Purpose The purpose of this study was to examine the preseason point prevalence of hip and groin problems in elite female team-sport athletes. Secondary aims were to categorize the groin problems according to the Doha Agreement classification system and to explore the association between hip muscle strength and self-reported hip and groin function. Study Design Cross-sectional study. Methods Female athletes who participated in various sports underwent preseason assessment of isometric hip adduction and abduction strength, with pain levels recorded during respective contractions, and self-reported function on the Copenhagen Hip and groin Outcome Score (HAGOS). If any athlete reported current hip and groin problems during this screening assessment, a full, standardized clinical hip and groin examination was undertaken. These hip and groin problems were then categorized according to the Doha Agreement classification system. Comparisons between the participants with vs without hip and groin problems were made, and correlational statistics were used to examine relationships between strength and HAGOS scores. Results Ninety-one elite female athletes from six different sports were included in the study. Thirteen athletes reported current hip and groin problems, with an overall prevalence rate of 14.3%. Iliopsoas-related groin pain was the most common category diagnosed, accounting for 58.8% of cases, followed by hip-related groin pain (17.6%), adductor-related (11.8%), and inguinal- and pubic-related pain (both 5.9%). No association was found between strength and function. Conclusion The hip and groin point prevalence in female athletes documented during preseason appears to be similar to those reported in male athletes. Iliopsoas-related groin pain was the most common clinical entity reported in female athletes in this study. There was no association between hip muscle strength and self-reported hip and groin function. Level of Evidence 3b