bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Connotation of Talent Cultivation Management System of Higher Vocational Education and Its Ideal Model Construction
Authors: Wang Yong 
Published: October 2024

Abstract
The rapid development of higher vocational education has occasionally led to a disconnection between talent cultivation and social needs, prompting researchers to focus their attention and concern on the quality problem of higher vocational education. This paper focuses on the current issues related to talent cultivation in higher vocational education. It employs the quality function development (QFD) method to conduct a thorough analysis of the talent cultivation management system in higher vocational education. It then establishes a corresponding quality house model, tests its reliability through simulation experiments, and ultimately constructs an ideal model for talent cultivation in higher vocational education. The model application calculates the stakeholder demand weights using the DEMATEL-RAHP method and then combines the questionnaire survey results to determine the final demand weights. Next, we calculate the weights of the qualities based on the correlation matrix between stakeholders’ needs and quality assurance characteristics. The development achievement dimension has the largest demand weight at 0.4497, and the basic conditions dimension and the interaction dimension have the lowest demand weights at 0.2874 and 0.2629, respectively. The management of talent cultivation in higher vocational education should prioritize the reinforcement of the management system, the construction of practice infrastructure, the deepening of industry-university-research institute cooperation, and the cultivation of graduates’ core competencies. Government management (0.0641), university management (0.0619), student participation (0.0606), and social collaboration (0.0476) have average weights that are in descending order. Talent cultivation in higher vocational education should be the government’s leading and guiding role, based on university management and social collaboration. This paper confirms the QFD model’s viability in managing talent cultivation in higher education.
Study on the Adjustment of Teaching Strategies and Tracking of Educational Effect of Youth Rule of Law Education Based on Big Data Analysis
Authors: Zhang Hong 
Published: October 2024

Abstract
The article optimizes and proposes a youth rule of law teaching strategy based on big data analysis on the basis of the traditional youth rule of law education model. The traditional K-means algorithm is improved by Mean Shift theory so as to construct an educational data mining model based on the MK-means algorithm. In order to test the actual effect of the rule of law teaching strategy proposed in this paper, X Middle School is selected to implement the youth rule of law teaching strategy based on big data analysis and analyze the learning effect and the rule of law ability of students. Students’ mastery of the 10 knowledge points of the rule of law education content is between 0.80 and 0.92, among which students have the highest mastery of law enforcement and justice, law compliance and law-abiding, and the lowest mastery of rational thinking. The subject students were divided into three categories, and each category had 36, 10, and 4 students, respectively. The first category of students had the best mastery of the knowledge points, with the number of 72%. The second category had average mastery, with the number of 20%, and the third category had the worst mastery, with the number of 8%. The post-test mean value of the experimental group in the four dimensions of the rule of law competence is higher than the pre-test mean value by 6.39, 3.70, 3.12, and 3.02, respectively, and the P value of the four dimensions is less than 0.05. The post-test mean value of the control group rises compared with the pre-test mean value by 0.31, 0.58, 0.41, and 0.30, respectively, and the P value is greater than 0.05. The comprehensive result shows that the teaching effect of the rule of law for adolescents based on big data analysis is significantly better than that of the teaching strategy of the rule of law for adolescents based on big data analysis. Teaching strategies are significantly better than traditional rule-oflaw teaching methods.
A logistic regression modeling study of college students’ mental health status in predicting suicidal behavior
Authors: Zhang Liqin 
Published: October 2024

Abstract
The problem of college student suicide has been widely discussed, and the prediction of students’ suicide risk through their mental health status is one of the keys to preventing college student suicide. To this end, this paper proposes a suicidal behavior prediction model based on a logistic regression model. It solves the sample imbalance problem by sampling method and adjusts the model parameters using parameters and learning curves. The experiments show that the AUC values of the training and test sets are 0.922 and 0.934, respectively, and the model has a good predictive ability. Logistic regression analysis showed that emotional health problems were significant factors affecting suicidal behavior, in which the correlation coefficients of anxiety and depression with suicidal thoughts were 0.198 and 0.138, respectively, and the results of multifactorial regression analysis of these two emotions showed that economic status, inter-parental violence, and family dysfunction were related to depression and anxiety.
The Vietnam War, Imperial Presidents, and Limited Democracy
Authors: Sarvis Will 
Published: October 2024

Abstract
During the Vietnam conflict presidents Lyndon Johnson and Richard Nixon wielded war powers without congressional declarations of war. The legislature and judiciary more or less deferred to these “Imperial Presidents” rather than check or balance their war policies. This deferment seriously compromised and, in some cases, even nullified representative democracy. Populist democracy, in the form of the Antiwar Movement, fared little better. Millions of citizens repeatedly expressed their opposition to the war in mass demonstrations, especially after 1967. And yet active American combat in Vietnam continued until 1973. The ineffectiveness of the Antiwar Movement is consistent with the Elite Theory of democracy wherein a small minority of powerful people in corporations (including media corporations) and government offset and counteract populism. Ironically, in this case, the Imperial Presidency also overwhelmed legislative and judicial elites. Thus, in the most dramatic subset of a greater post-World War II phenomenon, the Vietnam War featured a monarch-like executive using war powers that circumvented both direct (populist) and indirect (representative) aspects of democracy.
Dynamic Testing and Fatigue Analysis of the I-31P Nose Landing Gear
Authors: Skorupka Zbigniew 
Published: October 2024

Abstract
The landing gear is a critical safety component of any aircraft, playing a key role in managing the significant loads experienced during landing and ground maneuvers. In the case of the I-31P aircraft, a redesign of the I-23 landing gear system, required comprehensive testing to validate its performance, after change of landing gear parts manufacturer and minor updates to materials and technologies. This study focuses on the dynamic testing of the I-31P nose landing gear (NLG), particularly to assess its energy dissipation and fatigue resistance under operational conditions. Dynamic tests, performed in accordance with CS-23 standards, utilized strain gauges to monitor potential stress concentrations, especially on the half-fork design. Results demonstrated that the I-31P nose landing gear meets the required safety standards, with key performance metrics such as deflection and load factors within acceptable limits. The findings also highlighted the importance of continued monitoring for potential fatigue issues, offering valuable insights for future design enhancements.
The Effects of Postoperative Trimetazidine Treatment on Ischemia-Reperfusion Injury after Isolated Surgical Myocardial Revascularization
Authors: Kamen Stanev , Bistra Dobreva-Yatseva , Todor Gonovski , Asen Ivanov , Gencho Nachev 
Published: October 2024

Abstract

Background
Surgical revascularization is the gold standard in the management of patients with multi-vessel coronary artery disease (CAD). It is well known that increased oxidative stress during ischemia-reperfusion and post-revascularization procedures leads to the release of free radical in the circulation. This process can cause reversible or irreversible myocardial damage.

Aim
The aim of this study was to assess the effect of trimetazidine on decreasing postoperative ischemia-reperfusion myocardial damage.

Material and methods
This prospective single-blind randomized controlled trial included 90 patients with elective surgery, operated between March 2018 and October 2018. The patients were divided into two equal groups, a study group and a control group; those in the study group received trimetazidine 35 mg b.d., immediately after tracheal extubation, in addition to their regular therapy. Pre- and postoperative levels of specific blood biomarkers such as high-sensitivity troponin T (hs-TnT), creatine kinase-MB (CK-MB), and malondialdehyde (MDA) were evaluated. Patients were followed for a period of 6 months after surgery.

Results
MDA levels were lower in patients who received trimetazidine, leading to a reduction in oxidative stress and improved cardiomyocyte protection by augmentation of the antioxidant status. The quality-of-life assessment with the Minnesota Living with Heart Failure Questionnaire yielded excellent results.

Conclusions
Improvement of myocardial cell metabolism and decreasing the level of postoperative ischemiareperfusion damage is alleviated by postoperative regular trimetazidine therapy.
Regional-Sectoral Characteristics of the Formation of Digital Economy Sectors and Evaluation of Its Innovative Perspectives
Authors: Aliyev Alovsat Garaja 
Published: October 2024

Abstract
The analysis of the characteristics of regional-sectoral approaches to the effective formation of the structure of the modern digital economy and the assessment of their innovative perspectives are considered urgent issues. In this aspect, the analysis of the scientific-theoretical foundations and formation problems of the information economy as the main element of the digital economy has been attempted. The structural features and characteristics of the digital economy were studied, and the method of evaluating the innovative perspectives of its sectors was developed. New information, knowledge, and technology-intensive economic sectors have been identified. The method of assessing the perspective of sub-sectors of the digital economy was developed in the form of a sequence of certain algorithmic steps. In the evaluation process, the selection of organizations and experts, the determination of the experts' weighting coefficients, and the indicators for assessing the perspective of sub-fields were also determined by the experts themselves. As a result of the assessment of the innovative perspectives of the subfields of the digital-information economy, the level of innovativeness of the relevant sectors, the level of potential development, the level of the possibility of creating new jobs, the level of social utility, the level of influence on the development of other areas, the level of current infrastructure provision and cyber resistance, the level of necessary staffing, export orientation indicators such as level, green, inclusion and sustainability level, competitiveness level have been adopted. The results of the generalized systematic analysis and evaluation of the research results of the preliminary expert evaluations of the digital economy sectors on the innovative perspective are given schematically. It has been shown that effective results can be achieved with the application of modern computer software in the formation of digital economy sectors based on the technologies of the Industry 4.0 platform and in the assessment of its innovative prospects. Those results can be effectively applied in other regional-sectoral structures with relevant characteristics.
Attraction of Mining Lands From the Jiu Valley Basin in Public and Private Utility Projects
Authors: Radu Sorin Mihai , Gâf-Deac Ioan , Vesa Benea Mărioara , Danci Marius Daniel , Flinker Alexandru , Ceuţă Simona , Bocşiţan Mariana Valentina , Stanca Iulian Marius 
Published: October 2024

Abstract
In the article, the authors report on the diversified perspective on the various aspects of the mining sector in Valea Jiului with reference to the attraction of mining land in new investment projects from those interested in the public and private sphere. It is stated that the mining lands offer opportunities for expansion of reserves or zonal development in the future; mining land can be attractive to investors because it offers prospects for long-term growth and profitability. The authors present data on the disposal of mining lands unloaded of technological burdens, make an updated inventory of mining lands in the Valea Jiului Basin available for expressions of interest in expropriation and inclusion in new zonal development programs. At the same time, a model is proposed for the recovery of the affected mining lands, practically analyzing the influence of the "mechanized felling" system to avoid surface subsidence. Details are given about the lack of mining security, land damage through subsidence, and it is recommended that each mining unit be equipped and operate with a distinct silting station, taking into account the objective requirement to protect against the loosening of the rock massif of the land up to date, above the exploitation perimeters.
Evidence-Based Practice (EBP) in the Professional Practice of Nurses
Authors: Dolega Elżbieta , Szara Marta , Kościołek Aneta 
Published: October 2024

Abstract

Aim. The purpose of this study was to analyze the application of Evidence Based Practice (EBP) in the professional practice of nurses.

Material and methods. The study involved 151 active professionals in the nursing profession. The study was conducted using the diagnostic survey method, the tool was the Standardized Evidence-Based Practice Profi le Questionnaire (EBP2Q), Polish adaptation: M.Pańczyk (2017). A 5% error of inference and an associated signifi cance level of p<0.05 were assumed.

Results. The lowest scores were obtained by the respondents on the subscale Frequency of use of specifi c elements of Evidence-Based Practice in daily clinical work (M=21.5 points, 47.8% of the maximum score), and on the subscale Knowledge of knowledge of research terminology (M=45.5 points, 53.5% of the maximum score). Statistically signifi cant associations were found between age, education, seniority of the subjects and the studied aspects of EBP (p<0.05).

Conclusions. 1. The application of EBP in the professional practice of nurses is at a low and insufficient level. 2. Nurses present a low level of knowledge related to EBP topics. 3. Along with their younger age, higher level of education, shorter length of service of the subjects, EBP was signifi cantly more frequently used in the daily practice of the subjects.
Non-Uniform Torsion Behavior of Thin-Walled Beams According to the Finite Element Method
Authors: Tran Dang-Bao 
Published: October 2024

Abstract
This study is based on a theory for analyzing non-uniform torsion in thin-walled beams made of homogeneous elastic material with arbitrary cross-sections by incorporating the effect of the shear deformation of a cross-section. Utilizing the Finite Element Method (FEM), the proposed numerical approach addresses non-uniform torsion by breaking down a 3D analysis into 2D cross-sectional and 1D modeling components. Initially, the geometric constants of the cross-section were computed using a 9-node isoparametric element in 2D FEM. Subsequently, a 1D FEM employing a linear isoparametric element calculated the twist angle, torsion warping parameters, and stress results. The stress field was determined through a local analysis of the 2D cross-section. Notably, the 2D FEM component aligns with contemporary trends in commercial software, thereby bolstering the potential and practical applicability of the proposed numerical approach. Its verification and validation through numerical analyses using MATLAB underscore the efficacy and reliability of the method in analyzing non-uniform torsion behavior in structural design, particularly under diverse boundary conditions.
Effect of Polypropylene Fiber on the Strength Properties of Geopolymer Concrete Activated with Water Glass
Authors: Sangi Rajashekar , Bollapragada Shesha Srinivas , Kandukuri Shanker 
Published: October 2024

Abstract
Cement, which is a significant constituent in concrete, plays a crucial role in the construction industry. The manufacturing process of cement releases substantial amounts of CO2, thereby contributing to environmental concerns. To address this issue, geopolymers have emerged as promising alternative substitutes to ordinary Portland cement. However, one of the challenges in utilizing geopolymer binders is the need for activators to initiate the polymerization process. Sodium silicate and sodium hydroxide solution are commonly used activators, but ground granulated blast-furnace slag (GGBS) reacts quickly with these activators and reduces the setting time. In order to arrest quick settings and enhance the efficiency of concrete production, “water glass” is used as an activator. The present study investigates the flexural and split tensile strength of geopolymer concrete by optimizing the dosage of polypropylene fibers for different mix proportions of GPC activated with water glass. The optimum dosage of fibers was obtained by the addition of different dosages of polypropylene fibers ranging from 0, 0.2%, 0.4%, 0.6% and 0.8%. The results from the investigation revealed a consistent augmentation in compressive strength with the incremental addition of fibers up to a threshold of 0.6%; beyond this point, the strength exhibited a dimin-ishing trend, while the flexural strength and split tensile strength were enhanced from 25% to 45% with the addition of an optimum dosage of polypropylene fibers. By optimizing the material formulations and mix proportions, it is possible to achieve a superior performance by minimizing the environmental impact on the construction industry.
Modelling the Entry Capacity Reduction Factor and Pedestrian Movement Analysis at Roundabouts: A Case Study of Tier-II Cities in India
Authors: Munshi Aarohi Kumar , Patnaik Ashish Kumar , Bhuyan Prasanta Kumar 
Published: October 2024

Abstract
The present study is aimed at developing an entry capacity reduction factor model for roundabouts in developing countries. The study covers four Tier-II cities in India, namely, Ranchi, Rourkela, Bhubaneswar, and Nagpur. The explanatory variables are: the circulating vehicular traffic flow, pedestrian flow, and the diameter of the central island. A multiple non-linear regression (MNLR) analysis was utilised; it has an R2 of 0.946 and 0.961 for the development and validation of the model. With an increase in influencing variable levels such as circulating vehicular traffic flow by [(50, 100, and 150) PCU/hr], pedestrian flow by [(50, 100, and 150) Ped/hr], and the diameter of central island by [10,20,30) m]; the Capacity Reduction Factor rises by (15%, 30% & 35%), (10%, 15% & 20%) and (25%, 35% & 45%) respectively. Further, the Equilibrium Probability Method (EPM) has been employed to analyse pedestrian movement patterns at roundabouts while they are crossing the streets. ‘Children’ and ‘Seniors’ cross the street almost at the same speed, but more slowly than ‘Young People’. The study could be helpful for the operational evaluation of roundabouts by incorporating pedestrian behaviour.
Risk factors for anastomotic leakage following McKeown esophagectomy: a single-center retrospective analysis
Authors: Toneev E. A. , Pikin O. V. , Aleksandrov O. A. 
Published: October 2024

The OBJECTIVE was to identify risk factors for anastomotic leakage following McKeown esophagectomy.METHODS AND MATERIALS. From January 1, 2016 to December 31, 2022, in our clinic, a total of 69 patients with stage I–III esophageal cancer were operated with McKeown esophagectomy performed in a fully open approach (thoracotomy, laparotomy, cervicotomy). The characteristics of the studied patients were evaluated according to a standardized protocol. Statistically significant factors influencing the development of anastomotic failure were determined.RESULTS. The frequency of anastomotic leakage was 13/69 (18.4 %). Mortality due to anastomotic failure occurred in 3 (23 %) patients; while in the non-failure group, there were 4 (7.1 %) fatalities. The average postoperative hospital stay was 11.57±3.71 days in the non-leakage group and increased to 25.42±8.12 days in the leakage group (p=0.001). Univariate analysis revealed that the presence of diabetes mellitus, postoperative blood transfusions, and higher than Grade III chronic kidney disease significantly influenced anastomotic integrity. These factors were selected for multiple logistic regression analysis. In multivariable logistic regression only chronic kidney disease and diabetes mellitus were confirmed as significant risk factors for anastomotic failure; Type III and IV failures occurred in 5/13 (38.5 %) patients resulting in death for three individuals (23 %).CONCLUSIONS. In univariate analysis, diabetes mellitus, chronic kidney disease and perioperative blood transfusion were recognized as statistically significant risk factors associated with anastomotic leakage following McKeown esophagectomy. Unsatisfactory outcomes occurred with leakage type III and IV.
Mandala: Compositional Memoization for Simple & Powerful Scientific Data Management
Authors: Makelov Aleksandar 
Published: October 2024

We present mandala, a Python library that largely eliminates the accidental complexity of scientific data management and incremental computing. While most traditional and/or popular data management solutions are based on logging, mandala takes a fundamentally different approach, using memoization of function calls as the fundamental unit of saving, loading, querying and deleting computational artifacts.It does so by implementing a compositional form of memoization, which keeps track of how memoized functions compose with one another. In this way: (1) complex computations are effectively memoized end-to-end, and become ‘interfaces’ to their own intermediate results by retracing the memoized calls; (2) all computations in a project form a single computational graph, which can be explored, queried and manipulated in high-level ways through a computation frame, which is a natural generalization of a dataframe that replaces columns by a computation graph, and rows by (partial) executions of this graph.Several features implemented on top of the core memoization data structures — such as natively and transparently handling Python collections, in-memory caching of intermediate results, and a flexible versioning system with dynamic dependency tracking — turn mandala into a practical and simple tool for managing and interacting with computational data.