bluuebunny/crossref_metadata_2025_split huggingface dataset:
Digital transformation of labour education in higher education and quality control mechanisms
Authors: Wang Rui 
Published: December 2024

Abstract
Labor education is an indispensable component of the education system, playing a crucial role in the comprehensive development of “five education”. It is a significant part of China’s education system, and its functional status has been continuously improved. This paper explores the digital transformation path of labor education in order to respond to the needs of the times. The study first analyzes and discusses the development trend of digital transformation in labor education, and then proposes a quality monitoring mechanism for labor education, based on the PDCA cycle theory. Data mining serves as the foundation for the development and design of a labor education quality monitoring system platform. After removing the initialization phase and the end phase from the system platform performance test, the traffic real-time monitoring system achieved an average throughput of 1611279 data records per minute, indicating a good performance. Meanwhile, according to the test results, the system in this paper adopts 7 working nodes, which can ensure that the processing time is within 400s and the computational delay is only 0.042ms. This can effectively improve the computational speed and more fully utilize the existing system computing resources. In the actual application of the monitoring platform, the scores of individual indicators of labor education courses numbered 1, 4, and 7 are all lower than the standard score (below 0). The labor education course numbered 6 scored above 1 for each indicator, and its curriculum arrangement (Index 1) scored a relatively low 1.18. For labor courses 8 and 9, the scores were stable at 0.2 or above in all semesters, and the scores were higher in all semesters. The synthesis presented above demonstrates that the platform of the labor education quality monitoring system in this paper can effectively and practically monitor the quality of labor education courses, while also offering digital support for course reform and implementation.
Research on Vehicle Traffic Monitoring Technology in Traffic Big Data Environment
Authors: Li Zhiming , Yang Jian , Liang Jigui , Wang Jianfei 
Published: December 2024

Abstract
Intelligent traffic flow analysis, as an emerging technology, provides effective solutions for urban traffic management through big data analysis and artificial intelligence algorithms. The Yolov4 algorithm is used to incorporate the Deep SORT multi-target tracking algorithm and multi-scale feature fusion detection model in this study. In addition, the improved Yolov4 algorithm model with multi-scale feature fusion based on the tracking algorithm is formed by combining the CLAHE algorithm in the input module of the original Yolov4 algorithm and by replacing the backbone network and optimising the neck network. The model presented in this paper has a better training effect on the vehicle flow evaluation index. The tracking algorithm employed in this paper is now 0.268 more accurate than the KCF algorithm, and it takes only 5.65ms to process the video images. In addition, the mAP, Rank-1, and Rank-5 of this paper’s model for monitoring small vehicles are 82.81%, 86.79%, and 95.43% respectively, which are better than the base model. The improved Yolov4 traffic monitoring algorithm proposed in this paper balances counting accuracy and running speed, and has superior vehicle traffic monitoring performance than the comparison algorithm.
Research on Digital Transformation Strategies of Ethnic Traditional Sports Programmes for Wushu Training
Authors: Li Zhiliang , Fu Jinfen 
Published: December 2024

Abstract
It is of great significance to exert the driving force of digitalization on the creative transformation and innovative development of ethnic traditional sports culture to accelerate the construction of a sports power and a cultural power. The study uses the construction activity data of ethnic traditional sports programs in 50 recreational regions as a case study to construct an analytical framework based on the technology-organization-environment (TOE) theory. After gathering 235 pieces of data, the study narrows down the factors that lead to the digital transformation of traditional ethnic sports programs. It then uses fuzzy-set qualitative comparative analysis (fs QCA) to look at the impacts of five factors that lead to the digital transformation of traditional ethnic sports programs: innovation investment, digital facilities, government support, enterprise integration, and teaching and learning digital intelligence. Using fuzzy set qualitative comparative analysis (fs QCA), we examined the group effects of five antecedent conditions, namely, innovation investment, digital facilities, government support, enterprise integration, and digital teaching, on the digital transformation of ethnic traditional sports. The study found that innovation input and digital facilities have significant time effects on the digital transformation of traditional ethnic sports programs and that a single variable does not constitute a necessary condition for digital transformation. Based on the results of the study, a development strategy for the digital transformation of ethnic traditional sports programs oriented towards martial arts training is proposed.
Research on the Innovative Integration of Ideological and Political Education Resources in the Digital Era
Authors: Hu Xuefeng , Zheng Dan , Su Yanhua , Zhang Lu , Xu Dan 
Published: December 2024

Abstract
The development of digital technology provides a new way for teachers to obtain, integrate and use ideological and political education resources, which can enrich the teaching content, stimulate students’ interest in learning, and thus improve the teaching effect. This paper proposes an ideological and political education resources integration platform based on Web service technology and J2EE technology, calculates the similarity of different types of ideological and political education resources using semantic association similarity, and constructs an educational resources information matching algorithm by combining metadata similarity. Then, the hash algorithm is used to pre-process the retrieval request of ideological and political education resources, and the unsupervised cross-modal hash retrieval model is established by combining the graph convolutional neural network, which is used to achieve the fast retrieval of ideological and political education resources. When the resource matching result set is upgraded from Top5 to Top50, the average search accuracy of the resource information matching algorithm always remains above 65%. The cross-modal hash retrieval model sees an average improvement of 2.93% and 1.52% on the tasks of retrieving images from texts and text from images. The resource integration platform for ideological and political education helps to achieve rapid retrieval and matching of ideological and political education resources and provides new support for diversified teaching of ideological and political education.
The impact of theatre education in the cultural heritage of higher education based on big data analysis
Authors: Li Bo 
Published: December 2024

Abstract
In the modern environment, the inheritance of excellent theater culture faces great obstacles, and education is an important means of cultural inheritance. The use of “big data analysis” in theater education plays an important role in cultural inheritance. The technology is meant to be utilized for semester analysis, teaching design, teaching reform, teaching reflection, student behavioral analysis, and student performance warning in drama education. Principal component analysis was used to analyze the influence indicators of cultural heritage in colleges and universities. The results of correlation analysis show that there are no indicators with a small coefficient of variation and true correlation coefficient greater than 0.95 or more, and the independence of the nine evaluation indicators designed in this paper is good. Through principal component analysis, the 5 principal components extracted in this paper about big data analysis contain the drama education indicators designed in this paper, which are the key elements contributing to the cultural heritage of colleges and universities.
Ethical Challenges of Intelligent Diagnostic Systems to the Doctor-Patient Relationship and Their Normative Development Path in Healthcare Regulations
Authors: Ma Yulian , Liu Chang 
Published: December 2024

Abstract
The innovation of the digital medical field, derived from the algorithms of the intelligent era, is bound to have ethical and risky problems while greatly improving diagnosis and treatment efficiency. The purpose of this paper is to outline the overall function of the intelligent diagnosis and treatment system and propose a standardized governance route to address doctor-patient conflicts and ethical risks that arise from it in the medical industry. This involves establishing a diagnosis and treatment decision-making system that targets common and multiple diseases, both in urban and rural areas. Incorporating CBR technology and improving the KNN method, the improved nearest neighbor method for spatial fuzzy number calculation is formed, together with the fuzzy hybrid case retrieval algorithm (FHRA-M) based on the characteristics of hospital diagnosis and treatment decision-making cases, to jointly innovate the case-based hospital diagnosis and treatment intelligent decision-support system. We look at how well the FHRA-M model retrieves information based on hospital diagnosis and treatment decision-making case features. The intelligent diagnosis and treatment system is utilized to assist medical students in learning clinical skills and doctors in determining what is wrong with patients. The self-assessment results of the trainees’ clinical skills showed that the study group had a higher completion rate of clinical skills, and the self-assessment results of first-aid skills, clinical thinking in emergency medicine, and proactive provision of first-aid services for chest pain patients were significantly better than those of the control group. Intelligent assisted diagnostic film reading has better diagnostic consistency than the conventional film reading method, and the average diagnostic time is 0.81±0.55min, which is significantly lower than the conventional film reading diagnostic time and obviously reduces the workload of diagnostic imaging physicians. The intelligent diagnosis and treatment system, as part of the standardized governance of medical regulations, must continue to enhance its diagnostic and treatment decision-making capabilities and establish algorithmic governance trust in the field of intelligent diagnosis and treatment.
Research on the Path of Teaching Ability Improvement of College Teachers Supported by Artificial Intelligence Technology
Authors: Chen Chen 
Published: December 2024

Abstract
In the intelligent era, information-based teaching is the trend of education reform in colleges and universities, and improving teachers’ information-based teaching ability has become an inevitable requirement for education and teaching in colleges and universities. According to the constituent elements of university teachers’ teaching ability, this paper proposes a scheme to improve teachers’ teaching ability by using virtual reality technology to build a virtual teaching and research room, introducing data sharing technology based on blockchain and federated learning, and creating a smart teaching environment in universities. Several experiments are conducted to measure the key pair generation time of this paper’s scheme in SGX and non-SGX environments, as well as the total time of the whole sharing system. Divide the experimental group of virtual teaching and research rooms into the traditional group, compare the effectiveness of pre- and post-tests, and verify the practicality of virtual teaching and research room construction. The comparison shows the level of informational teaching achieved by teachers in colleges and universities after smart teaching environments were constructed, when combined with the questionnaire data. Following the implementation of the smart teaching environment for teaching and research, 45.67% of teachers regularly engage in informational teaching, while less than 2% do not. This trend may partially correlate with their age.
The Realisation Path of Human-Computer Collaborative Learning in College English Teaching Based on Blended Learning Model
Authors: Gu Xiaoying 
Published: December 2024

Abstract
Reforming and innovating the teaching mode of the university English program is crucial for cultivating students’ English literacy and skills. This paper utilizes the theory of multiple intelligences and other relevant theories, along with the fundamental requirements of college English teaching in the blended learning mode, to guide the design of an intelligent teaching platform-based human-computer collaborative learning path. Subsequently, we conducted teaching experiments and explored changes in students’ learning attitudes and other aspects of college English teaching through a questionnaire after conducting a reliability test. It was found that there was a significant difference between the experimental class’s post-test scores on college English learning and those of the control class, with a p-value of 0.029<0.05 for the post-test test of the total scores. Also, the experimental class’s learning attitudes toward college English teaching have been significantly improved, which is significantly different from those of the control class (p<0.05) and supports the effectiveness of implementing the HC collaborative learning pathway. This paper’s design for the human-computer collaborative learning implementation path can enhance the effectiveness of blended learning college English courses and better cater to students’ learning needs and interests through innovative, collaborative teaching methods.
Intelligent Acquisition and Processing of Weak Signals in High Noise Environments Based on Deep Neural Networks
Authors: Wei Xuejie , Li Jia , Li Yanfeng , Li Wanjun 
Published: December 2024

Abstract
In this paper, according to the characteristics of weak signals, A/D conversion and software programming are used to produce an intelligent acquisition device for weak signals. After completing the acquisition of weak signals, they are saved in the form of data sets and divided into training and testing sets, and the long and short-term memory network and convolutional self-encoder are used to construct a weak signal processing model and design the corresponding loss function. Simulation is used to confirm the effectiveness of the model in this paper. It is found that when the input voltage is 0.4V, it leads to the largest conversion error value, whose value is 0.00019357003601074. The model was tested, and it was concluded that the final loss values of the training set and the test set were reduced to 0.000112 and 0.00298, respectively. The model in this paper improves the signal with noise from -5dB to 16.04dB, and it perfectly removes the noisy information in it. The noise reduction ability of the CAE-LSTM network is much better than other control models. This study is capable of rejecting interference signals in weak signals with perfect accuracy, which is useful for academic research in the field of signals.
U-Small and U-Locally Small Categories
Authors: Coghetto Roland 
Published: December 2024

Summary
This paper deals with the notions of U-small set, U-small category, and U-locally small category (U is non-empty Grothendieck universe). We reuse the first Mizar formalization of categories contained in CAT_* series of Mizar articles in order to show the expressive power of the Tarski-Grothendieck set theory (which is the base for the Mizar Mathematical Library) in this area. We encode parts of SGA 4 by Nicolas Bourbaki.
Relationship Between Genetic and Overcrowding Factors and Weight Loss in Cattle Transported by Land
Authors: Arrieta-González Armando , Silva-Martínez Karla Lissette , Martínez-Sánchez Itzcóatl , Reyes-Zepeda Francisco , Ángel Teresa de Jesús Juarez del , García José Miguel del Ángel 
Published: December 2024

Objective: Determine the influence of breed on the weight of animals from the northern region of Veracruz, Mexico during transport to fattening.

Theoretical Framework: The transportation of livestock by land is a common practice that animals undergo at least once in their lives, and this practice is usually linked to trade. The loss of live weight and carcass yield during transportation is a concern for animal welfare and the producer's economy.

Method: 434 calves of different breeds, weighing between 350 and 440 kilograms, were examined before boarding the vehicle, taking the following information: breed, weight before boarding and after disembarking, handling, position in the cage, conditions during transport.

Results and Discussion: The animals used were classified into three groups: Low weight, medium weight, and high weight, where animals with higher weight tend to lose more weight. Of the breeds analyzed, the results showed that the one that loses the most weight is the Brahman breed.

Implications of the research: The research was derived from the needs of livestock producers in northern Veracruz. The conditions during transport and the driver's experience can make the difference between the presence of stress in the animals reflected in productive indicators.

Originality/Value: Cattle ranching is one of the most relevant activities in the state of Veracruz; however, there is no documented information on the weight loss of cattle during transportation
EFECTIVIDAD DE LA APLICACIÓN DEL ENFOQUE POR TAREAS EN EL DOMINIO DE LA LENGUA ESPAÑOLA PARA LOS ESTUDIANTES IRAQUÍES
Authors: Yousif Hadi Rihab 
Published: December 2024

En los últimos años la preocupación central en el aula de ELE en un contexto de no inmersión como es el caso de Irak es el papel del profesor y las metodologías que este aplica en el aula. De la misma manera, la comunidad de investigación lingüística ha desarrollado en varias propuestas centradas en el progreso de los métodos de enseñanza para las lenguas el llamado enfoque por tareas, el cual ha venido en la última década a reformular a su vez el papel que el profesor desempeña en la clase, pues busca que los estudiantes tengan un protagonismo mayor en su aprendizaje.
Así, al centrarnos en la función esencial que desempeñamos como profesores en el aula de ELE, podemos determinar que una de estas se centra en la mediación que hacemos entre el estudiante y la adquisición del conocimiento. Pero, esta labor la venimos desempeñando desde el principio consciente de quehacer del educador, lo cual no significa que este papel no explore nuevos caminos que se puedan acomodar a las necesidades de aprendizaje que al día de hoy presentan nuestros estudiantes. Por tanto, nuestra investigación se preocupa por responder al siguiente interrogante: cómo puede el maestro adaptar metodologías que respondan a las necesidades más importantes de los estudiantes de español en Irak?
Al comprender el objetivo que deseamos alcanzar, proponemos demostrar que el papel del profesor es fundamental para desarrollar un enfoque tan actual como en de la acción o por tareas. En ese sentido, los primeros es fundamentar las características esenciales de esta metodología. Luego, analizar la trayectoria acerca del papel que desempeña el profesor de español en el aula. Finalmente, proponer estrategias para que estos dos aspectos ayuden a los estudiantes árabes del español a mejorar su competencia comunicativa y la forma en la que se acercan al conocimiento.
¿PERSUADEN LOS NIÑOS DE LA MISMA MANERA A SUS AMIGOS QUE A LOS ADULTOS? UN ESTUDIO CON ESCOLARES DE QUITO, ECUADOR
Authors: Cedeño Coppiano Carolina , Barajas Carmen , Martin-Vegas Daniel 
Published: December 2024

Introduction. The ability to persuade requires understanding how through language one can influence the mental states (EEMM) of the persuaded, so that they adopt a belief, attitude or idea that, in turn, leads them to perform some action (To et al., 2016). It has therefore been linked to theory of mind, having been shown that a greater understanding of mind is associated with a greater variety and frequency of terms referring to EEMM (Longobardi et al., 2015). However, there are no known studies on child persuasion that analyze mental state language. Objective. The aim of this study is to analyze the frequency of use of mental state terms in short persuasive texts of school-aged children, and to test the effect of addressee: asymmetry (equal vs adult), familiarity (own mother vs friend's mother) and authority (friend's mother vs school principal). Method. The participants were 117 schoolchildren (75 girls) aged 7 to 12 years from Quito (Ecuador). Each participant wrote, at an appropriate time and place, four short texts, addressed respectively to: a friend, her own mother, a friend's mother and the school principal, in an attempt to convince them of the same thing. For each text, the frequency of occurrence of EEMM terms was analyzed following the proposal of Pinto et al. (2017): Cognitive, Volitional, Emotional and Moral. Results. Two Repeated Measures ANOVAs indicate significant differences in the total frequencies of EEMM terms (in order: Volitional, Moral, Emotional, Cognitive) and that there are no significant differences in the frequency of total EEMM terms by addressee. However, for each addressee separately, four Repeated Measures ANOVAs revealed different distribution patterns in EEMM terms. Friends as addresses differ from adults by generating much higher frequency of Emotional terms and much lower frequency of Moral terms. Significantly more Moral and Cognitive terms are used with one's own mother than with a friend's mother. With the mother of a friend, significantly more Emotional terms are used than with the school principal. Discussion. The data allow us to demonstrate the effect of asymmetry (differences between text addressed to a friend and adults), familiarity (between text addressed to one's own mother and that of a friend) and authority (between text addressed to a friend's mother and the school principal) in the use of terms referring to Cognitive, Volitional, Emotional and Moral EEMM by children from 7 to 12 years of age.