bluuebunny/crossref_metadata_2025 huggingface dataset:
Literature review on the evaluation of resilience in infrastructure projects
Authors: Shoaei Ali , Sousa Vitor , Cruz Carlos Oliveira
Published: December 2024

Infrastructure decision-making has traditionally been focused on the use of cost-benefit analysis (CBA) and multicriteria decision analysis (MCDA). Nevertheless, there remains no consensus in the infrastructure sector regarding a favored approach that comprehensively integrates resilience principles with those tools. This review focuses on how resilience has been evaluated in infrastructure projects. Initially, 400 papers were sourced from Web of Science and Scopus. After a preliminary review, 103 papers were selected, and ultimately, the focus was narrowed down to 56 papers. The primary aim was to uncover limitations in both CBA and MCDA, exploring various strategies for amalgamating them and enhancing their potential to foster resilience, sustainability, and other infrastructure performance aspects. Results were classified based on different rationalities: i) objectivist, ii) conformist, iii) adjustive, and iv) reflexive. The analysis revealed that while both CBA and MCDA contribute to decision-making, their perceived strengths and weaknesses differ depending on the chosen rationality. Nonetheless, embracing a broader perspective, fostering participatory methods, and potentially integrating both approaches seem to offer more promising avenues for assessing the resilience of infrastructures. The goal of this research proposal is to devise an integrated approach for evaluating the long-term sustainability and resilience of infrastructure projects and constructed assets.
Path Analysis of Artificial Intelligence Technology to Help Improve the Quality of International Student Enrollment in China
Authors: Liang Yueqiao
Published: December 2024

International student education is an important part of the internationalization of Chinese higher education, and the promotion of “The Belt and Road Initiative” has put forward higher requirements for the enrollment of international students studying in China, and it is of great significance to improve the quality of enrollment. In this paper, we extracted the data related to the enrollment and academic performance of international students from the academic affairs management system of each school and then pre-processed the data through data cleaning, normalization and desensitization. Then, we use the Apriori and C4.5 decision tree algorithm to mine the association rules between different influencing factors and the enrollment quality of international students and apply the decision tree to assist the decision-making of enrollment. Subsequently, the enrollment management system is constructed to realize the path of artificial intelligence technology to help improve enrollment quality. The results of association rule mining show that there are multiple association rules between different influencing factors and enrollment quality (with a minimum confidence level of 80%) and that international students’ intercultural communication ability and academic performance should be considered in the enrollment process. The empirical application of the enrollment management system found that the ideological quality of international students at the enrollment survey increased from 4.017 scores in 2020 to 9.221 scores in 2022, which verified that the enrollment system is an effective path to improve the enrollment quality of international students. The enrollment management system proposed in this paper can effectively provide decision-making reference and help for the enrollment of international students coming to China, and provide an effective path to improve the quality of international student enrollment in each school.
Research on the Path of Civic and Political Construction of Physical Education Curriculum in Vocational Colleges and Universities Based on Big Data Analysis Technology
Authors: Li Fang , Zhang Jian , Li Shaoming
Published: December 2024

The traditional high school physical education classroom teaching mode often focuses only on learning sports skills and knowledge and ignores the rich civic-political elements contained in sports. This paper constructs an index system for the construction of Civics and Politics in physical education courses based on vocational colleges and universities and identifies a total of 4 level 1 indexes through screening, which are Civics and Politics objectives, Civics and Politics teaching, Civics and Politics resources, and Civics and Politics evaluation. Taking 25 vocational colleges and universities in a certain province as the research object, using data mining method and K-means clustering method to cluster analyze the level of the construction of sports course ideology and politics in each school, the 4 evaluation indicators were classified into 3 major types. According to the results of the type evaluation, the types of sports program construction of different schools were determined. Subsequently, the data were discriminantly analyzed, and the clustering model and discriminant function were constructed to discriminate between established cluster types and known data. The accuracy and error rates were calculated, and a total of 15 institutions were identified as being in the general type. An optimization path for the construction of sports curriculum civics was proposed. The experimental subjects were selected to apply the path of the Civic and Political Construction of Physical Education Courses in Vocational Colleges and Universities to test the implementation effect of the optimization path of the Civic and Political Construction of Physical Education Courses. The results showed that the average values after the experiment were higher than those before the experiment. They were improved by 0.887, 1.034, 1.113, 0.941, 0.966, 1.121, 1.331, 1.279, and 1.124, respectively, which showed that the Physical Education Courses Civic Building Optimization has better results in the improvement of Civic Education.
Combined with social network analysis of the art of local folk songs and cultural heritage of national music
Authors: Yang Yue
Published: December 2024

As an indispensable carrier of information dissemination, social networks have added new vitality to all kinds of information dissemination and, at the same time, brought new opportunities to national music culture inheritance. Aiming at the current development and inheritance status of local folk songs, this paper improves the original SIR model, establishes a set of kinetic evolution equations based on the SIR model, adds the strategy of employing network pushers to dispel rumors, and puts forward an improved model for the dissemination of ethnic music culture in online social networks. Then, through further analysis, based on the results of social network topological analysis, parameter values are set, and the dynamic design of simulation is carried out for the infection rate, conversion rate, immunization rate, and derivation rate of the improved model, respectively. Grasping the law of information dissemination of the current social network platform provides a theoretical basis for controlling the benign information dissemination of ethnic music culture. The survey on the perception degree of local folk songs of respondents from different regions and the scores of respondents on the dissemination methods of local folk songs, in which the dissemination method of “media and social platforms” got a score of 6.02, effectively indicating that social media platforms can be further used as a carrier for the dissemination of local folk songs and ethnic music culture. Increasing the infection rate β and derivation rate λ, decreasing the conversion rate α and decreasing the immunity rate γ in the social network can maximize the dissemination of local folk songs and promote the effective inheritance of ethnic music culture.
Study on the mechanism and inhibition technology of oil oxidation in peanut fried foods
Authors: Xie Lin
Published: December 2024

Oxidation of fats and oils is a common phenomenon, and antioxidants have been widely used to retard oxidation induction and inhibit oxidation of fats and oils. In this paper, the oxidative stability of peanut fried foods under different baking temperatures was examined by using the oven method in conjunction with the basic principles of oil and fat oxidation and the influence of temperature on the oxidation reaction rate of oils and fats. The chemical indexes of peroxide value, acid value and carbonyl value of fats and oils were selected as the objective indexes to evaluate the oxidation reaction of fats and oils in the storage process of peanut fried foods. The degree of oxidative deterioration of oils and fats in peanut-fried food samples was compared to samples stored at different storage temperatures, packaging materials, air conditioning environments, and storage times. The lipid oxidation changes of the samples were observed by comparing and analysing the changes of C=C signals in Raman spectra after adding antioxidant peptides to the samples. With the gradual increase of baking temperature, the oxidative stability of the samples showed an overall increasing trend, and the oxidative stability at 220°C baking temperature was the best and better than the oxidative stability of hot-pressed and cold-pressed peanut oil. Through the packaging and storage test, it can be concluded that the packaging of low-temperature storage, nitrogen filling, and aluminum foil paper bags can play a certain role in inhibiting the oxidative deterioration of oil and fat in peanut frying.
Study on the Sense of Acquisition of the Rural Poor under the Perspective of Precision Poverty Alleviation
Authors: Li Dan
Published: December 2024

Sense of access is an important yardstick for measuring the effect of precise poverty alleviation work and an important guide for rural grassroots governance work. This paper designs an evaluation index system for rural poor people’s sense of access, constructs a logistic regression model, and studies the current situation of rural poor people’s sense of access and influencing factors. Firstly, based on the idea of Modified Ridge Estimation and Liu Estimation, Modified Liu Estimation is proposed as an alternative estimation method for Great Likelihood Estimation to solve the problem of multicollinearity in binary logistic regression models. Then, 20 indicators related to the five dimensions of economy, politics, ecology, society, and culture are selected to explore and establish the evaluation system of rural poor people’s sense of access. Nineteen precision poverty alleviation administrative villages in a national poverty-stricken county in Gansu Province were selected for questionnaire distribution. It has been found that gender differences have significant effects on access to economic income. In terms of specific factors, the logistic regression equation has the greatest explanatory power for F1 economic sense of access (the value of R-squared is 0.15, p=0.000<0.001), followed by the sense of access to F4 social services (the value of R-squared is 0.12, p=0.000<0.001). In summary, this paper puts forward policy recommendations to enhance the sense of access of the rural poor, such as revitalising rural industries. This paper provides certain references for improving the grassroots social governance system and strengthening the modernization of governance capacity.
Data Mining Techniques and Strategies in Digital Asset Management in Cultural Museums
Authors: Yang Lin
Published: December 2024

The development trend of digital assets characteristic of public cultural service units involves the rational and standardized management of existing and future-generated digital resources. The study examines the significance of data mining technology in the digital asset management system of cultural museums. For the information retrieval service involved in the system, an improved decision tree algorithm based on mutual information is proposed as the data mining kernel by improving the ID3 algorithm to achieve fast and effective information retrieval of multi-source data. On different domain sets, the average retrieval speed of the improved decision tree algorithm is 6.87 ms, which is better than the Random Forest algorithm and Bagging algorithm, and it is able to accurately retrieve the data location of digital assets. This paper proposes to improve the management of digital assets in cultural museums from three aspects: innovating the institutional mechanism, standardizing the account management of digital assets, and establishing an intelligent promotion platform for digital assets.
Knowledge Graph Construction and Personalised Learning Path Generation Mechanism for Online English Teaching and Learning
Authors: Ying Shichao , Fu Yuemei
Published: December 2024

With the accelerated development of educational intelligence, the application of online English teaching has become more and more widespread. This paper constructs a knowledge map for online English teaching, which serves as the foundation for a personalized learning path generation model, with the goal of offering students deeply personalized English teaching services. Spectral convolution is used to transfer the filter and graph signals in the graph convolution network to the Fourier domain for computation, and the graph convolution neural network is used to generate the online English teaching knowledge map. Learner preferences are obtained by improving the knowledge graph convolutional network, and the learning path recommendation algorithm MKGLR is proposed. 50 first-year students of educational technology at Henan Normal University in China have been selected as the research subjects to carry out an online English teaching experiment. After the experiment, the average study duration of students decreased from 83.62 hours to 76.8 hours, the performance of online learning behavior improved significantly, and the number of classroom interactions, the number of homework submissions, and the number of resource accesses increased compared to the pre-experiment (Sig<0.01). There was a significant difference. The evaluation values of the usefulness and satisfaction dimensions increased by 43.42% and 26.77%, respectively, compared to the pre-experiment.
Optimisation study of agricultural product circulation standard system in big data environment based on DNN model
Authors: Cai Qiaoyan , Zhang Xihua
Published: December 2024

This paper combines deep learning and neural networks to construct a prediction model of deep neural networks. Taking the bulk agricultural products in X province as an example, it elaborates on the current situation of agricultural product circulation in X province and analyzes the problems in the development process. Using the DNN prediction model for the demand of the agricultural product circulation system, the demand of the agricultural product circulation system is modelled and simulated. After analysis, it can be seen that 588 national industry standards in the area of commerce circulation and domestic trade have been formulated at present. With the increasing production of bulk agricultural products as well as the total food production in X province, the development of agricultural product circulation main body also grows to 3,033 in 2023. However, the time currently used for the distribution chain still accounts for 95% of the total system. Therefore, the layout design scheme derived from the predicted values of the DNN model makes the agricultural product logistics network more reasonable.
Intelligent Algorithm-Assisted Evaluation System Construction and Practice of Civic Education in Colleges and Universities
Authors: Zhuang Yaling
Published: December 2024

Civic education is one of the basic contents of higher general education. The study uses a hierarchical analysis method, particle swarm optimisation algorithm and genetic algorithm to construct the evaluation system of civic education in colleges and universities, improves the GA-BP evaluation model through adaptive mutation genetic algorithm and entropy value method, and constructs EM-AGA-BP evaluation model of civic education in colleges and universities. The evaluation results and performance of this evaluation model in practice are analysed and tested. The fit of the EM-AGABP evaluation model of civic and political education in colleges and universities exceeds 0.90, and the evaluation index system of this paper is able to reflect the situation of civic and political education in colleges and universities. The highest score of Z-schools in the evaluation indexes of the first level of civic and political education is the construction of educational resources (3.81), and the lowest score is the construction of infrastructure (2.39). The highest-scoring second-level indicator is Civics Teachers (4.62), and the lowest-scoring is Facilities for Teachers and Students (1.88). The score interval on the third-level indicators is [1.30,4.93]. The absolute error distribution of the EM-AGA-BP evaluation model of college civic education is 0~0.07, which is significantly better than the absolute error distribution of the RBF neural network model (0~1.519). The absolute error of the predicted value of 85% of the evaluation results of the samples in the EM-AGA-BP model does not exceed 0.06. EM-AGA-BP is superior in the performance of the evaluation of ideological and political education in colleges and universities.
Numerical simulation study on the relationship between mechanical properties and forming conditions during incremental forming of magnesium alloys
Authors: Bao Wenke , Tian Xitian , Liu Yongyue
Published: December 2024

Recent years have seen an increasing study and application of magnesium alloy, a light metal with high specific strength. Incremental Forming is a technology that uses rapid prototyping and forming to efficiently and cost-effectively manufacture parts from sheet metal. In this paper, we analyze the true stress-strain curve of magnesium alloy during incremental forming using the extension principle of Mises yield criterion Hill48 yield criterion. We then input the curve and the intrinsic model of magnesium alloy into ABAQUS software for numerical simulation and analysis of the mechanical properties of magnesium alloy under forming conditions. The results show that as the temperature increases, the yield strength and tensile strength of the AZ31B magnesium alloy decrease, and the material’s resistance to deformation decreases. The yield and tensile strength of the magnesium alloy decreased to below 61 MPa and 71 MPa, respectively, upon increasing the experimental temperature to 280 °C. It was also found that the maximum equivalent stress and wall thickness reduction rate of magnesium alloy incrementally forming parts increased with the increase of layer spacing during incremental forming. The successful incremental forming of magnesium alloy depends on the selection and optimal combination of forming condition parameters, and this paper offers a robust experimental foundation for the rapid prototyping of magnesium alloy under incremental forming.
A Study on the Change of Artistic Creation Styles in the Internet Era in Higher Art Education Based on the Perspective of Network Analysis
Authors: Zhang Congli
Published: December 2024

Artistic creation in the network era, examined in terms of artistic style, can be roughly divided into several important stages in time, such as 1985-1995, 1996-2005, 2006-2015, and 2016-present. This paper integrates pedagogical knowledge distillation and an artistic style feature extraction model to investigate the change in artistic creation style in the network era. Using global features, the color histogram of the art image region is extracted by calculating the color features on H, S, and V from both color and texture features. The color and texture feature vectors are normalized, assuming that they conform to a Gaussian distribution. Quantify the art style features using an adaptive weighted Gram matrix to improve the accuracy of art image style classification. Joint art knowledge distillation model for dissemination of knowledge of the extracted art style features. Plotting the scatter of color chromaticity values L*-b* of all painting samples reveals that the luminance L* of all paintings fluctuates between 21.38 and 79.94, the red/greenness value a* fluctuates between -8.57 and 1.7, and the yellow/blueness value b* fluctuates between 1.67 and 16.21. The temporal development of the color characteristics of art styles follows a clear pattern. In the comparison of texture eigenvalues under variable parameters, the moment of inertia of the painting images in the period 1985-1995 is raised from 147.698 to 615.965 after noise addition, and there are different degrees of growth in the moment of inertia in the other periods, but with different magnitudes of growth, and there are obvious differences.
Research on Informatisation Path in the Process of Teachers’ Professional Development Supported by Big Data
Authors: Chen Tao , Wu Qingqing
Published: December 2024

The arrival of the big data era has caused a great impact on the traditional education model, and also put forward higher requirements for teachers’ professional ability. This paper explores the professional development level of college teachers using exploratory factor analysis and Spearman correlation analysis, and designs an informatisation path for teachers’ professional development based on big data according to the results of the analyses and the challenges faced by teachers’ professional development. Then, a controlled experiment was designed to empirically verify the application effect of the pathway using independent samples t-test and paired samples t-test. In this paper, five principal component factors were extracted from teachers’ professional development level, namely, career development potential, intelligent education concept, intelligent teaching ability, intelligent evaluation ability, and university education development management, and the correlation coefficient values of the first four with university education development management were 0.245, 0.274, 0.282, and 0.275, which were all greater than 0, with corresponding p-values less than 0.01, which indicated that there was a significant positive relationship between all of them and university Education Development Management are all significantly positively correlated with each other. In the control experiment, there is no significant difference between the experimental group adopting the informatisation path of this paper and the control group adopting the traditional path before the experiment, but there is a significant difference after the experiment, and the level of teachers’ professional development of the former is better than that of the latter, which suggests that the informatisation path of teachers’ professional development designed in this paper is better than the traditional path, and it has a positive promotion effect on teachers’ professional development.
Research on Behavioural Characteristics and Language Habits of Business English Online Learning Based on Big Data Analysis
Authors: Li Ling
Published: December 2024

Online learning models are rapidly emerging. By tracking the relevant learning behaviors of students in the learning process, certain suggestions can be provided for learners’ study guidance. In this paper, the improved K-Means algorithm and behavioral data from students’ online learning are used to cluster their learning status. In addition, the self-attention mechanism is introduced on the basis of TCN, and the network structure for dealing with the language habit classification problem is constructed as a whole by combining it with the Meier filter bank alternative network. Finally, TCNSA is used to learn and classify pronunciation habits, and the two networks are trained together to form an end-to-end recognition method. The classification effectiveness of the method was finally verified on different datasets, and the classification accuracy of Region 5 language habits increased from 42 to 49, and the classification accuracy of the remaining regions also increased compared to that of the TCN. It comprehensively reflects the performance of the TCNSA model in distinguishing language habits. The method proposed in this paper helps to provide targeted online business English learning guidance to students from different regions, with different learning behaviors, and different language habits.
Research on the Resource Sharing Mode of Civic and Political Education Platform in Colleges and Universities in the Information Technology Era and the Path of Student Participation
Authors: Liang Li
Published: December 2024

This paper uses multimedia technology to build a civic education platform and integrates it into the civic education of colleges and universities by designing a resource sharing model for the civic education platform. Starting from the connotation of resource sharing mode and students’ participation path, a questionnaire is developed to test the reliability of the questionnaire. Correlation coefficients and regression models were used to explore the relationship between the resource sharing model of the Civic and Political Education Platform and the students’ participation path. The questionnaire’s reliability was maintained at above 0.7, and its validity was all above 0.9, which fully met the questionnaire’s standard requirements. The Pearse’s Choice correlation coefficients between the educational model (A1) and behavioural participation (A2), cognitive participation (A3), and affective participation (A4) were 0.149, 0.081, and -0.054, respectively, and the corresponding regression equations were Y=1.992+0.428*behavioural participation+0.217* cognitive participation+0.199*emotional participation, which revealed the relationship between the Civic and Political Education Platform resource-sharing model and the relationship between students’ participation paths, which makes the ideological education in colleges and universities rise to a new level.
Analogue simulation and practical application effect analysis of relay protection strategy of power system in high altitude area
Authors: Ma Haifeng , Li Yuan , Qi Baocai , Zhu Guochao , Tuo Zhipeng , Han Fengjun
Published: December 2024

As a safety protection measure in power systems, relay protection can quickly and accurately determine the type of fault and its cause. In order to adapt to the increasingly complex operating environment of relay protection systems in high-altitude areas, a relay protection strategy based on EMD-GA-ELM is proposed. The strategy preprocesses the multi-source data using the EMD algorithm, trains the data using the ELM model, and optimizes the overall parameters using the parallel search function of the GA algorithm, enhanced by PSO. Through simulation and practical application, it is found that the AUPR scores of this paper’s relay protection strategy for different scenarios are above 0.9, and the running time is reduced by 35.94% to 60.60%, which has better fault detection accuracy and timeliness. The coordination time intervals of EMD-GA-ELM models in practical applications are all greater than 0.3s, and the relay action speeds in different modes are all improved, which verifies the higher fault detection level of the proposed strategy in practical applications and can help identify and respond to the security risks of the power system in high-altitude areas.
Designing Virtual Reality-integrated Immersive Learning Experiences for Art Education
Authors: Ren Dan
Published: December 2024

The field of art education can benefit from the application of VR technology due to its characteristics of immersion, interaction, and empathy. This paper utilizes VR technology in the field of art education, utilizing immersive learning as a theoretical guide. It also combines the analysis of user group needs of students and teachers, and presents a design scheme for an immersive virtual learning system for art appreciation courses. The system consists of three modules: hardware environment, software environment, and human-computer interaction. The Scene Operate and Scale panels perform real-time interactive behaviors. Boolean operations are used to mark the interaction intentions of students in the virtual environment in order to achieve an understanding of their interaction intentions. It was found that students’ mental flow state and art classroom quiz scores were slightly higher in the VR immersive learning system environment than in the traditional classroom. As for the learning engagement dimension, the students’ learning engagement in the VR environment was 131.27±8.831, which was significantly higher than that of traditional classroom learning (96.72±15.210, p<0.05). The integration of VR technology into the classroom is proven to enhance students’ creativity and enhance their immersive learning experience.
Research on the Practical Path of Teachers’ TPACK Capacity Building in Private Colleges and Universities under Educational Informatisation
Authors: Wang Xiao , Guo Ziyang , Gui Yangyang
Published: December 2024

Teaching ability is the place where university teachers settle down, and cultivating teachers’ teaching ability is the necessary way to guarantee the teaching quality of private colleges and universities. In this paper, for the TPACK ability construction of teachers in private colleges and universities, taking the TPACK model as the theoretical basis, the logical relationship between the elements within the structure of teachers’ informational teaching ability, between the elements and the system, and between the system and the environment is clarified under the perspectives of nurturing orientation and disciplines. And the cultivation model was applied in practice to evaluate and analyze the actual teaching situation. The results show that the difference in the overall level of TPACK of the experimental group after TPACK training is very significant (T=-10.224, p<0.001), indicating that the TPACK competence cultivation model for teachers in private colleges and universities proposed in this paper has a significant role in promoting the construction of teachers’ TPACK competence. This study enriches the theory of TPACK development to some extent and provides a theoretical basis for the practice of TPACK development for teachers in private colleges and universities. A complete case of teacher capacity building for TPACK can be formed at the level of teaching practice, which can be learned and referred to by educators.
Research on the calculation method of global optimal solution for multivariate functions based on genetic algorithm
Authors: Zhou Wanna
Published: December 2024

In this paper, the time delay of warehouse entry, traveling distance, scheduled arrival time, and other factors are fully considered. From there, a genetic algorithm global optimal solution is conceived for the computation of the warehouse entry allocation problem. We propose a new constrained optimization algorithm, based on orthogonal experimental design, to address the global optimal solution of multivariate functions. We also verified the algorithm’s effectiveness and usability in a practical simulation study of the warehouse entry allocation problem. The optimal value of the genetic algorithm is 9.3487. In the parameter design, the actual total number of demands is 131. The S, T, and D of the calculation results of secondary simulation experiments have been reduced. Therefore, the global optimization of the genetic algorithm enhances the shelf stability and boosts the efficiency of the work in the store’s goods allocation.
Optimisation of Data Flow Control Policies under Software Defined Network Architecture for Complex Network Environments
Authors: Chen Yongcheng , Wan Yifei , Qin Jianrong
Published: December 2024

In recent years, with the rapid growth of Internet-related services, the traditional software-defined network architecture has gradually failed to adapt to user demands and services. This paper proposes an ant colony algorithm (ACO)-based data flow control policy optimization scheme specifically designed for software-defined networks (SDNs). It has been found that the traditional ACO algorithm is prone to overfitting during the optimization process of data flow control policies for SDN, and a pheromone updating strategy has been introduced to optimize this phenomenon. After solving this phenomenon, the optimization scheme of data flow control policy for software-defined networks based on the ACO algorithm will be formally formulated, and simulation experiments will be used to confirm the effectiveness of the optimization scheme in this paper. The results show that this paper’s algorithm has a higher priority than the control algorithm in terms of four evaluation metrics: average link throughput, link utilization, average round-trip delay, and data packet loss rate. This study enables the optimization of data flow control strategies under software-defined network architecture and also improves the utilization of network data flow to bring about a better network experience.
A study on the assessment of changes in students’ physical fitness by teaching physical education and health courses in colleges and universities based on intelligent data analysis
Authors: Wu Chuanzhong , Liang Danqing , Wang Runhan , Xu Li , Li Yunlong
Published: December 2024

The development of physical education and health courses is not only an important element in the current stage of college education, but also a crucial measure to enhance students’ physical fitness and health. For this reason, this paper is based on intelligent data analysis to build a system to research changes in students’ physical fitness. This paper first analyzes the user and functional requirements for a physical fitness analysis. The clustering algorithm is studied, as is a system for analyzing student body mass, consisting of a browser, a server, and a numerical student body mass testing instrument. Finally, an intelligent analysis of the physical education and health curriculum is carried out using the system. From the empirical analysis, it can be seen that the value of the regression coefficient of physical education and health curriculum is 0.150 (P < 0.001), and the physical education and health curriculum has a significant positive impact relationship on students’ physical fitness, and the percentage of school support mediation effect is 24.52%. In addition, students’ speed, endurance, explosive strength, and power improved with the increase in physical fitness education and grade level. A significant correlation exists between the comprehensiveness and organization of the physical fitness curriculum, with a correlation coefficient of 0.285. Meanwhile, the mean value of the overall evaluation of the system in this paper is 1.452, and it is excellent in terms of simple use, with a mean value as high as 1.475. The synthesis shows that the construction of the physical fitness system in this paper is able to effectively analyze the data of physical education and health courses, improve the physical fitness of the students, and promote the healthy development of students.
UNDERSTANDING MULTILINGUALISM AND SUSTAINABLE DEVELOPMENT. CASE STUDIES FROM ROMANIA
Authors: RUSU Olivia Cristina
Published: December 2024

Drawing on the data provided by the Eurobarometer on Europeans and their languages, on the Relevance theory, and ethnographic observations of contemporary Romanian society and its linguistic habits, this article develops the taxonomy of different subdivisions of multilingualism in the social continuum “pre-university studies - university studies - labor market”. Qualitative research based on ethnographic interviews and testimonies from reallife experiences provides us with a contextual understanding of the term in pre-university education and on the labor market, while quantitative research based on responses to a thematic questionnaire sent to university students of economics provides key clues about their language skills with a view to improving their linguistic performance. The case studies examined in this study will allow us to refine certain preconceived ideas about multilingualism, and to perceive accurate social and cultural patterns of this contemporary dynamic topic.
PRAXISORIENTIERTE ÜBERLEGUNGEN ZUR FÖRDERUNG DER SCHLÜSSELQUALIFIKATION WISSENSCHAFTLICHE TEXTPRODUKTION
Authors: SAVA Doris
Published: December 2024

Preparation for professional practice and dealing with communicative challenges in the context of academic and professional mobility ensure – beyond academic education – a wide range of courses for job-related language support at language schools. This article takes a look at the special knowledge and skills required in the university communication environment in order to highlight some of the challenges of acquiring German as an academic language and to emphasize the importance of writing support during studies, based on the importance of academic writing skills as a teaching and learning objective.
SPEAKING IN ENGLISH FOR MEDICAL PURPOSES - THE TEACHERS’ POINT OF VIEW
Authors: POP Anișoara
Published: December 2024

In order to bridge the gap between current training and the real needs of future medical specialists likely to communicate in an international context, the formation of speaking skills in Medical English (ME) should be approached from a complex bio-medical (BM), academic (A), and humanistic (H) perspective. To validate this hypothesis, the current study capitalises on the expertise and questionnaire-based feedback of a group of Romanian and international ME teachers (N=35) with a desire to find common ground for the consolidation of speaking as pivotal for the medical field and bring it closer to real-life international situations of future physicians and the practice of humanism, albeit this may currently mean different things in different national/local contexts.
Intervención para el autocuidado alimentario en comunidades rurales de la Reserva Ecológica de Cuxtal
Authors: Gullian-Klanian Mariel , Sánchez-Solís María José , Cutz-de Ocampo Joel
Published: December 2024

Objetivo: evaluar el cambio de conocimientos, actitudes y hábitos personales necesarios para producir, seleccionar y mantener los alimentos seguros en residentes de tres comunidades rurales de la Reserva Ecológica Cuxtal a través de una intervención educativa. Metodología: se utilizó un muestreo no probabilístico por conveniencia. El instrumento de evaluación fue de tipo pre/post, compuesto por 36 reactivos diseñados para medir los cambios en conocimientos, actitudes y hábitos de los participantes basados. Resultados: la intervención incrementó en un 60% el área de conocimientos, 44% en actitudes y 67% los hábitos. La variable conocimiento tuvo impacto significativo en San Ignacio Tesip, donde el número de respuestas correctas aumentó en un 40%. Las actitudes registraron cambios significativos en Dzoyaxché, aumentando el nivel de aciertos en un 25%. Ambas comunidades elevaron significativamente sus porcentajes en hábitos. Los participantes de Molas comenzaron con mayor % de aciertos en el pretest en comparación con las otras comunidades, y la intervención logró aumentar el resultado al 80%. Limitaciones: el tipo de muestreo no asegura una representación adecuada de todos los grupos de la población, lo que puede afectar la generalización de los resultados. Conclusiones: la intervención mejoró los conocimientos, actitudes y hábitos de los residentes, lo que incrementó factores personales o psicológicos relacionados con su estilo de vida, colocándolos en mejores condiciones para cuidar su salud.
Reduction in Average Ambulance Response Time of Interfacility Transfer for Life-saving Cases (STEMI, STROKE, RTA) in Easterh Health Cluster of Saudi Arabia
Authors: AlMulhim Mobarak , Edah Almohannad , AlAnzi Sultan , Maqsood Muhammad
Published: December 2024

Introduction: Interfacility transport (IFT) is a complex component of out-of-hospital Emergency Medical Services (EMS) which provides care and transport to patients who need transfer from one facility to another. The aim of IFT is that patients receive the care they need in a time-efficient and safe manner, and it helps in maintaining high practice standards and reduces financial burden. The delay in response time of interfacility transfer for life-saving cases may result in adverse health outcomes.
Objective: The study aimed to identify possible causes of delay in ambulance response time for three life-saving categories (CVA, Stroke & RTA) and to reduce the average response time by applying improvement initiatives.
Methods: This was a QI study. It was carried out by EMS at Eastern Health Cluster (EHC) Saudi Arabia from August 2022 till June 2023. In first phase retrospective analysis was conducted for the pre-intervention period (Jan 2022 to Aug 2022) to assess average response time for interfacility transfer of life-saving cases and to identify possible causes of delay through root cause analysis (RCA). In the second phase (Sep 2022 to April 2023) IHI improvement approach was applied to improve the efficiency of interfacility transfer for life-saving cases.
Results: The retrospective data analysis highlighted the average response time for three lifesaving categories was 17 minutes. Certain interventions were applied and there was a significant reduction in average response time for three life-saving categories from 17 minutes to 9 minutes. The results of the paired-t test indicated that there was a significant difference t (7) = 15.3, p < .001 between before intervention response time (M = 17, SD = 1.7, n=8) and after intervention response time (M = 9.1, SD = 2, n=8). The highest average response was in December 2022 and average number of cases increased from 39 to 42 cases per month.
Conclusion: The findings of this showed significant improvement in response time by merely introducing soft interventions e.g., EMS smart solution, and without acquiring additional staff or required ambulances. The rural region in EHC is vast with less concentration of stations, ambulances, and staff. Use of technology and staff resistance were also challenges. A fully functional EMS headquarter with resource control center may further improve EMS functioning. Hiring staff, acquiring ambulances & staff development is necessary to maintain and enhance gains. These findings can be replicated to improve IFT response time in different settings.
Clinical Spectrum of Poisoning in Pediatric Emergency in Underdeveloped Countries
Authors: Rahman Razi
Published: December 2024

Background:
Poisoning is a common presentation in pediatric emergency. Over the period, clinical spectrum changes continuously. This study helps to understand current spectrum of poisoning in pediatric population.
Objective:
To find out the clinical spectrum of Poisoning in pediatric population in Pediatric Emergency Department of underdeveloped country.
Method:
We did a cross-sectional study in eleven units of pediatric emergency of tertiary care hospitals of Pakistan during a period of six months from January 2022 to June 2022.
Result:
A total of 631 Patients evaluated who presented to PED in this duration. The mean age of presentation is 42.15 months with a male to female ratio of 1:1.3. In almost 80.03 % (n=505) cases the cause of poisoning in unknown, it is because proper history is not available. Out of known ingestion (n= 126), 56.34 (n=71) is due to Organophosphate ingestion, Benzodiazepine 18.25 % (n=23), Salicylate 10.31 % (n=13), Vitamin supplements 9.52 % (n=12) and Tricyclic antidepressant 5.55 % (n=7). Most 33.12 % (n=209) were discharged home with a length of stay of 7.58 hours, 26.94 % Left Against Medical Advice, 25.51 % (n=170) were discharged on request, 2.53 % (n=16) referred to other h hospital due to unavailability of bed and Four patients were expired. The expired patients were all presented with unknown poisoning, length of stay was 12.06 %, the average age was 41.6 Months.
Conclusion:
Public awareness is needed to decrease the morbidity and mortality due to unknown poisoning, so pediatric patients can get better treatment.
Impact of endocrine disorders associated with cleft lip and palate
Authors: Çavuşoğlu Gökberk , Boynuyoğun Etkin , Erek Nur , Çalış Mert , Canoruç Emet Dicle , Gönç Nazlı , Özön Alev , Özgür Fatma Figen
Published: December 2024

Background. Any impediment to the development of midline structures i.e. hypothalamus, pituitary and oral cavity may cause anatomical and functional issues. We aimed to determine the association of endocrine disorders with anatomic defects of midline structures i.e. cleft types and syndromes, as well as their impact on postoperative intensive care unit (ICU) admissions and complications.
Methods. A total of 6000 patients from the Cleft Lip and/or Palate (CLP) Treatment Center between September 2014 - February 2022 were included. Patients with physical findings or biochemistry that may indicate endocrine disorders were examined by the Division of Pediatric Endocrinology. Data concerning sex, operation age, cleft types, coexisting endocrine disorders, syndromes, echocardiography, postoperative complications as well as postoperative intensive care unit (ICU) admissions were recorded.
Results. The study group consisted of 78 patients with endocrine disorders, with a mean follow-up time of 59±7 months. One hundred and nine CLP operations were performed. The most common endocrine disorders coexisting in CLP patients were hypothyroidism (44.8%) and growth hormone (GH) deficiency (14.1%). Of the patients, 29.4% had genetic syndromes. The median age of operation in patients with endocrine disorders was 5 months (Q1-Q3: 4-8 months) for cleft lip and 15 months (Q1-Q3: 12-20 months) for cleft palate repair. Of the patients with CLP and endocrine disorders, 24% required postoperative ICU admission. Age of operation and ICU admission rates were higher compared to the general population of patients with CLP in our center (p<0.01).
Conclusions. Endocrine disorders, particularly hypothyroidism and GH deficiency, are frequent in CLP. Furthermore, our data suggest that endocrine disorders may complicate the postoperative course. Thus, investigation of these problems is crucial for appropriate treatment as well as adopting measures to successfully manage the postoperative course.