bluuebunny/crossref_metadata_2025 huggingface dataset:
Teletrabalho na pandemia do COVID-19:
Authors: Machado Lisleandra , Lima Roseli Ferreira , Garcia Domingos Sávio da Cunha , Araújo Leonardo Amorim de , Leal Carlos Artur Alevato , Assunção Arthur Nascimento
Published: April 2024

O teletrabalho até então visto como uma possibilidade pouco aplicável aos tribunais brasileiros, frente a rigidez da cultura organizacional da administração pública, se tornou uma realidade latente em um curto espaço de tempo, com o advento da pandemia de COVID-19. Essa pesquisa pretendeu analisar a experiência vivida pelos servidores do Tribunal de Justiça de Goiás (TJGO), após a adoção do trabalho à distância. Para isso, foi realizada uma análise quantitativa e qualitativa dos dados coletados, a partir da aplicação de um questionário virtual abrangendo as temáticas diretamente ligadas ao assunto, por meio do Sistema Eletrônico do Serviço de Informações ao Cidadão (e-SIC) em que foi respondido de forma anônima por 15 servidores do tribunal, além da pesquisa bibliográfica sobre o tema. Os resultados obtidos foram compilados via planilha de Excel e após revisão sistemática restou evidenciado que na percepção dos participantes, essa mudança trouxe tanto impactos positivos quanto negativos. Se por um lado, os servidores apontaram uma melhora na qualidade de vida pelo fato de não precisarem se deslocar até o local de trabalho e evitar o desgaste diário com o trânsito, por outro lado, alguns expressaram dificuldades em conseguir separar o profissional do pessoal, além da falta de definição de horários gerando sobrecarga na jornada de trabalho. Contudo, apesar dos percalços e aprendizados vividos nessa jornada, os servidores entendem que o trabalho remoto é 100% aplicável ao tribunal.
Turnitin Use and Analysis: Software to Reduce Plagiarism at Medan State University
Authors: Vebibina Almaida , Rambe Nana Ronawan , Asrul Asrul
Published: April 2024

Plagiarism is taking the idea of someone else's essay or writing then as if making the work as his own work. Seeing the many cases of plagiarism committed against scientific papers, it is necessary to analyze the use of turnitin software in examining quotations taken from other people's written works. The purpose of this study was to analyze the use of Turnitin software in reducing plagiarism at Medan State University. This type of research is qualitative research with descriptive methods. Data collection conducted in this study was through interviews and documentation studies. The results of software usage data showed a significant decrease in the similarity index of student writing. In the similiarities index percentage of 1% - 24%, data entered in the Turnitin software shows the number of scientific papers is increasing compared to the similarties index of 50% - 74%. The same thing happens with the similiraties index of 25% - 49%, the number of scientific papers entered in the software is greater than 50% - 74%.  The use of Turnitin software is also effective in reducing plagiarism of scientific papers because the achievement indicators consist  of clarity on the goals achieved and strategies in achieving the goals in their implementation are clearly visible; facilities and infrastructure already have standards in services carried out for plagiarism tests; The implementation of plagiarism test services that have been carried out has effectiveness and efficiency in its implementation; surveillance system and Controls that have been implemented well, as well as human resources, namely librarian staff and plagiarism detection teams, understand the use of the Turnitin device application in serving plagiarism tests.
The Effect of Learners’ Self- directed Study on Willingness to Communicate
Authors: Qarani Zahraa S.
Published: April 2024

Self-directed study is a crucial need for learners to emphasize its central role in language education. Fostering and improving students’ ability to take initiative in their learning is considered crucial, for achieving success in both the present and future career. Additionally, recognizing the significance of being open to communication willingness to communicate works as a measure of learning, which can lead to attitudes, among students. This paper aims at finding out the relationship and the effect of learners’ self -directed motivation on willingness to communicate by answering the following questions. Is there any relationship between self-direction and willingness to communicate? Does self -direction have a positive impact on willingness? The paper examines willingness to communicate of 3rd grade students in English Department, from Collage of Basic Education at Salahaddin University –Erbil for the academic year 2022–2023. The participants are (60) students. The paper conducted through quantitative method. The data have been collected by a questionnaire and the tool adopted for analyzing the data is Statistical Package for the Social Science (SPSS). It is concluded that the most common factors that influence on students’ willingness to communicate are motivation, reliance, and anxiety about making mistakes and challenging situations. Another concluding point is that, students were unwilling to utilize only English while expressing an idea or discussing a matter with classmates or teachers. Moreover, Students referred to linguistic factors represented as indicative of their preference in taking more foreign courses and feeling comfortable in the classroom.
Development of Self-Based Competency Test Application Based On Microsoft Excel To Improve Self-Efficacy of High School Students
Authors: Ulfah Shafiyah , Arisanti Dewi
Published: April 2024

This study aims to analyze the computer-based Independent Competency Test (ICT) program that was developed to improve students' self-efficacy in physics subjects and to analyze the computer-based Independent Competency Test (ICT) program that was developed effectively used in increasing student self-efficacy used by participants students and teachers. This research uses the Research and Development (R&D) method which includes stages: (i) Identification of Potential and Problems; (ii) Analysis of Needs and Data Collection; (iii) System Design; (iv) System Implementation; (v) System Validation; (vi) System Revision; (vii) System Testing; and (viii) Final Systems. The subjects of this study were MAN 1 Medan students. The instrument used was testing aspects of functionality, usability, and student self-efficacy questionnaires. Based on the results of expert validation on the functionality test, it is obtained a percentage of 100% with very good criteria and has met the aspects of functionality. The results of expert validation on the usability test obtained a percentage of 93.15% with very high criteria and have met the usability aspect. Furthermore, the percentage obtained from the student questionnaire / self-efficacy questionnaire was 81% with very high criteria.
COLLABORATION AND ACHIEVEMENTS OF STUDENTS MOTIVATION IN PHYSICS LEARNING
Authors: Siregar Ramadana Fitrah
Published: April 2024

Teaching and learning activities that tend to be monotonous and passive result in low student interest in learning and achievement. Therefore, this study aims to determine the collaboration and achievement of student motivation in learning physics. This research is applied with the cooperative learning model Group Investigation (GI) type in six phases that can improve collaboration, motivation and student achievement, namely selecting topics, cooperative planning, implementation, analysis and synthesis, presentation, evaluation. This type of research is a quasi experiment. The instrument used was a test of student learning outcomes in the form of descriptions totaling 10 items and student activity sheets, namely experimental activities. The results showed that the existence of good peer collaboration will affect the achievement of student motivation in learning physics.
CHARACTERISTICS OF ELECTRODE MEMBRANE PVA-ENZIME COATING PVC-PLASTICIZER KTpClPB FOR UREA BIOSENSOR
Authors: Waruwu Evori Natanael , Hakim S Abd
Published: April 2024

This study aims to determine the effect of the composition comparison of the PVA-Enzyme urease coating PVC-Plastisizer KTpClPB membrane with memmbran characterization using FTIR and analyze membrane electrodes with XRD. The method used is the potentiometric method using the Electrode Selective Ion (ISE), where the polymer used is PVA and PVC as a coating with a composition ratio of PVA: PVC is 1: 1. The same PVA and PVC were used, namely 0.0350 g, with 2 mg of enzyme and 0.0500 g and 0.0120 g of KTpClPB plasticizer. The best composition result is the PVA-Enzyme PVC-Plastisizer coating enzyme KTpClPB 0.0500 g membrane electrode characterization using XRD shows the highest intensity value is at an angle of 2θ = 44.020 which is 1,626 count second (cts) and membrane characterization using FTIR shows that there is a functional group OH, CH, C≡C, NH, CO and CH. The addition of PVA-Enzyme coating will reduce or even eliminate the amount of Wolframm and can reduce the amorphous properties of the membrane electrodes.
Contextos institucionales de las mujeres candidatas a gobernadoras en las provincias argentinas (1983-2019)
Authors: Berman Luciana
Published: April 2024

Este artículo busca avanzar en la comprensión sobre la participación política-electoral de las mujeres en las elecciones ejecutivas en las 23 provincias argentinas y la Ciudad Autónoma de Buenos Aires entre 1983 y 2019. A partir de la reconstrucción de las 1.878 candidaturas en 236 comicios provinciales durante 36 años de democracia ininterrumpida y del análisis de los regímenes electorales y sus modiﬁcaciones, se analizan los contextos institucionales en los que las mujeres participaron en elecciones como candidatas a gobernadoras o a vicegobernadoras. Se toman las constituciones provinciales para determinar el régimen electoral, las reformas políticas y constitucionales y las leyes que, especíﬁcamente, tengan que ver con la participación electoral de las mujeres, con el objetivo de encontrar si esas leyes reﬁeren a las candidaturas ejecutivas. Los hallazgos principales muestran que no hubo un efecto derrame que incorporara mujeres como candidatas a los ejecutivos a partir de las leyes de cuotas y de paridad legislativas, dado que el porcentaje de participación fue bajo durante todo el período en todas las provincias y para ambos cargos en competencia, sobre todo para la Gobernación.
PENGETATAN POLIGAMI DI INDONESIA PERSPEKTIF MAQASHID SYARIAH DAN HUKUM POSITIF
Authors: Aqil Izan Syarifurrohman
Published: April 2024

Polygamy is a solution to social problems given in Islam, how an adult male can marry more than one woman. of course it is not arbitrary for an adult man to do this, he must also know the laws and provisions that apply in Fiqh, and the State, especially in countries in Indonesia where there are constitutional laws as well as positive laws, through this research with the title: tightening polygamy in Indonesia; the perspective of Maqasid Sharia and positive law, is expected to be a solution for Muslims to the anxiety that occurs in Islamic society in Indonesia.
Enhancing entrepreneurial strategy skills in Saudi universities employees: The impact of psychological capital
Authors: Hassan Ahmed K. , Aldawsari Hussam K. , Frikha Mohamed , Selim Hossam S. , Zahran Khaled M. , Saleh Eldiasty Hatem Abd Elmonem , El-Tanahi Nagla , Abdelwahab Ahmed M. , Alsedrah Ibrahim Tawfeeq , Aljamaan Nahla Saad Ebrahim , Hammad Badry E.
Published: April 2024

Psychological capital is recognized as a positive and unique factor that plays a crucial role in human resource development and performance management. It has the potential to increase employees’ efforts towards achieving organizational goals and improving their entrepreneurial strategy skills. The objective of this study was to examine the contribution of psychological capital in enhancing the entrepreneurial strategy skills of employees in Saudi universities. The study employed a descriptive approach, specifically utilizing the survey study method. The study sample was intentionally selected from different categories within the study population. Data was collected from 530 participants using two questionnaires. The findings revealed that employees exhibited an average level of psychological capital, while their practice of entrepreneurial strategy skills was rated as poor. The study also demonstrated that psychological capital significantly contributes to enhancing employees’ entrepreneurial strategy skills. Furthermore, statistically significant differences were observed in the psychological capital of employees across certain variables, such as personal and functional aspects. The average level of psychological capital among employees indicates the need for further development in this area. By focusing on enhancing psychological capital, organizations can effectively improve the entrepreneurial strategy skills of their employees. It is clear that investing in the psychological capital of employees can lead to significant improvements in their entrepreneurial strategy skills. This highlights the potential for organizations to foster a more entrepreneurial mindset and approach among their staff members. Additionally, the study’s findings underscore the need to tailor interventions and development programs to address specific aspects of psychological capital that may vary across different employees. Overall, the study emphasizes that psychological capital is a valuable resource that should be nurtured and developed within the organizational context. By doing so, organizations can not only enhance the entrepreneurial strategy skills of their employees but also cultivate a more resilient, motivated, and engaged workforce. This has the potential to contribute to the overall success and innovation of Saudi universities and similar institutions.
La “Escuela 7 de mayo de la Fundación Eva Perón” en el marco del proceso de profesionalización de la enfermería en la república argentina
Authors: Cipolla Damian Alejandro
Published: April 2024

Con la llegada al gobierno de Juan Domingo Perón, comienza un nuevo periodo en la  República Argentina donde los habitantes experimentaron una ampliación de todos sus derechos. Se estableció una nueva estructura estatal, donde la dirección de la secretaria de Salud Pública quedó a cargo del Doctor Ramón Carrillo quien promovió una transformación en el ámbito sanitario en todo el país.
En el marco de dicho contexto, la presente investigación apunta a estudiar el papel de la enfermería en relación con la situación de la profesión médica y el desarrollo de la misma vinculada a la presencia del Estado. Durante los primeros gobiernos peronistas, el reconocimiento de la enfermería y su desarrollo cobrarían en esta etapa renovados impulsos por su formación. El presente articulo apunta a trabajar la Escuela de Enfermeras 7 de mayo de la Fundación Eva Perón a partir de los registros que se encuentran en el acervo del Instituto Nacional de Investigaciones Históricas Eva Perón (INIHEP); además de las entrevistas desarrolladas a las ex alumnas de dicha escuela, testimonios que forman parte del Archivo de Historia Oral del INIHEP.
Teniendo en cuenta las contribuciones brindadas por los estudios de las mujeres y género sumado a los aportes de la historia social de la salud y la enfermedad, apuntamos a observar: por un lado, las características que tuvo la organización y matrícula estudiantil de la Escuela 7 de mayo, y por otra parte, el intento de la transformación del rol de las enfermeras observadas en la formación de las estudiantes de la Escuela 7 de mayo y las acciones llevadas adelante por las mismas.
Hacia la construcción de un nuevo orden social: Genealogías feministas y militancia de mujeres en Mendoza (Argentina)
Authors: Rodríguez Agüero Laura
Published: April 2024

En este trabajo, en vistas a rastrear genealogías feministas, indagaremos en algunas experiencias ocurridas en la década del ´70 en Mendoza. En investigaciones anteriores hemos reconstruido las principales características que tuvo la lucha de clases en los álgidos ’60 y ´70. En esta ocasión, pondremos el foco en algunos tempranos debates feministas que cuestionaron “el orden social machista”, apuntando a poner en valor la temprana presencia de esas discusiones en una provincia periférica, y a rastrear de qué modo esas experiencias se fueron conectando y creando redes que fueron parte fundamental tanto del proceso de movilización política de los ´70 como de la organización del movimiento de mujeres durante los ’80.
Repoblación en la taha de Ugíjar: Las Visitas del último cuarto del Quinientos
Authors: Onieva Tarifa Manuel
Published: April 2024

Este trabajo analiza los componentes demográficos y económicos más relevantes de las visitas a la taha de Ugíjar que fueron realizadas en los años 1574, 1576, 1578 y 1593. El objeto de estudio se suma a una temática consolidada, la repoblación en época de Felipe II, en un horizonte cronológico estacionado en varias décadas cuya coordenada preliminar está constituida por la conclusión de la Guerra de las Alpujarras, la deportación morisca y el inicio de la repoblación. Con el apoyo de fuentes primarias ahondaremos en los elementos poblacionales más significativos en estos años, evaluando el porvenir de la empresa filipina.
Efectos del déficit bilateral sobre variables cinemáticas en el esprint con cambio de dirección en basquetbolistas universitarios
Authors: Moya Marvyn
Published: April 2024

El objetivo del presente estudio fue investigar los efectos del déficit bilateral (DBL) en el salto con contra movimiento (CMJ) y su asociación con variables cinemáticas al realizar el test 505 que consiste en realizar un esprint de 15 metros con cambio de dirección (CoD). 28 jugadores de básquet universitario participaron en este estudio, y fueron clasificados según el DBL a partir de la altura del salto CMJ, dividiéndose en 3 grupos. Los resultados muestran diferencias significativas (p<,05)  en la asimetría entre piernas, tiempo de desaceleración, tiempo de reaceleración, tiempo en cambio de dirección  y déficit de cambio de dirección. Al analizar las diferencias entre piernas según la clasificación del DBL no se encontraron diferencias significativas (p>0,05) en las variables evaluadas. En conclusión se encontró que un mayor DBL tiene efecto en un menor rendimiento en las variables del test 505 y no así al compáralo entre piernas..
COVID-19 y docentes de educación superior: Respuesta pedagógica y psicoafectiva
Authors: Vera Noriega José Ángel , Sainz Palafox Miguel Angel , Cuevas Jaramillo María Clara
Published: April 2024

La crisis debido a la pandemia por COVID-19 provocó una transición forzada hacia una metodología de aprendizaje remoto de emergencia en el ámbito de educación superior. La presente investigación busca entender cómo los docentes se agrupan según su respuesta pedagógica y psicoafectiva en este contexto, y encontrar diferencias significativas entre ellos. El estudio es de cuantitativo, con un diseño transversal. Participaron 1992 docentes de educación superior, mediante un cuestionario electrónico. Se llevaron a cabo análisis descriptivos, clúster k medias y análisis de varianza. Los resultados indican una adecuada respuesta pedagógica y puntuaciones medias en las variables psicoafectivas. Desde la dimensión pedagógica se observan tres grupos: Alto desempeño, Baja evaluación y Bajo desempeño. Desde las variables psicoafectivas se observan tres grupos: Ajuste psicoafectivo alto, ajuste psicoafectivo medio y ajuste psicoafectivo bajo. Como conclusiones, destaca la dificultad de los docentes para evaluar el aprendizaje, la caracterización de resiliencia instruccional de un grupo de docentes y la relevancia de la regulación emocional para diferenciar a docentes con mejor y peor desempeño. Se contribuye a lograr una mayor comprensión sobre la relación del bienestar psicológico y la respuesta pedagógica de los docentes en el contexto de pandemia.
A new species of stilt-legged mite of the genus Neophyllobius Berlese (Acari: Camerobiidae) from Brazil
Authors: Escobar-Garcia Hector Alonso , de Andrade Daniel Júnior , Mohammad-Doustaresharaf Mojtaba , Ueckermann Edward A.
Published: April 2024

A new species of Neotropical Camerobiidae from Brazil, Neophyllobius (Neophyllobius) unespensis n. sp., is collected and described from the raceme-type inflorescences of a native South America forest tree, Cannonball tree, Couroupita guianensis Aubl. (Lecythidaceae), description based on females, a protonymph, and a larva. The new stilt-legged mite was found during two springs for two consecutive years, which coincides with the inflorescence period of this tree.
Therapeutic interventions using the peritoneal and coelomic cavity in dogs, cats, and exotic pets
Authors: Noriega Jacobo Romano , Thomovsky Elizabeth J.
Published: April 2024

OBJECTIVE

To provide a video tutorial describing intraperitoneal (IP) and intracoelomic (IC) therapeutics (IP/IC fluid therapy, euthanasia, direct peritoneal resuscitation).

ANIMALS

Dogs, cats, and exotic pets.

METHODS

Peritoneal and coelomic centesis allows for delivery of fluids or to perform euthanasia. The peritoneal and coelomic membranes contain a vast network of capillaries and lymphatics that allow absorption of fluids and blood products. Needles are inserted aseptically IP or IC at species-specific locations to avoid iatrogenic damage. In mammals, the needle is inserted in a periumbilical location at a 1- to 2-cm radius from the umbilicus, while the needle is inserted into the ventral inguinal fossa in chelonians and lateroventrally in lizards and snakes. Direct peritoneal resuscitation is a human technique in which a dextrose/electrolyte solution infused IP reduces ischemia-reperfusion injury, edema, and tissue necrosis to improve mortality in patients with diseases like shock and sepsis or who require acute abdominal surgery.

RESULTS

Isotonic crystalloids are given IP/IC at 10- to 20-mL/kg doses (smaller volumes in reptiles) and blood products at standard calculated doses. Sodium pentobarbital without phenytoin (3 mL/4.5 kg) is used for IP/IC euthanasia.

CLINICAL RELEVANCE

Being aware of multiple routes for fluid and blood product administration allows treatment in animals for which intravenous or intraosseous catheterization is undesirable or impossible. While intravenous or intraosseous routes are always preferred, especially for resuscitation, familiarity with locations for IP/IC fluid and euthanasia is useful. Techniques like direct peritoneal resuscitation are not currently used in animals but might be translated to veterinary cases in the future.
Research on the application technology of Artificial Intelligence in college physical education and training
Authors: Mao Min , Chen Jianxing
Published: April 2024

Nowadays, with the swift advancement of Artificial Intelligence (AI) technology, its applications have become widespread across diverse fields. AI is no longer a mere abstract idea but has seamlessly integrated into our daily lives, bringing numerous conveniences through its myriad benefits. One such domain where AI has made significant inroads in college physical education and training. The integration of Intelligent Computer-Aided Instruction (ICAI) with computer-assisted teaching systems, AI-powered wearable devices, motion capture systems in sports training, and virtual demonstration technology for simulating athletic movements has greatly enhanced both the precision of physical education and the efficacy of physical training. AI continues to evolve rapidly, indicating vast potential for further development in its integration with physical education and training. This paper highlights the widespread adoption of AI in sports and delves into its specific applications within this domain. The findings reveal that the algorithm employed in this context excels in identifying sports movement features, outperforming the comparison algorithm by 27.65%. Moreover, it precisely pinpoints the edge contours of human movement. In comparison to traditional Support Vector Machines (SVM), Convolutional Neural Networks (CNN) exhibit clear advantages during the later stages of operation, reducing errors by 36.69%. The experimental results underscore the importance of comprehensive human body detection in ensuring stable and accurate sports action tracking.
Study on the Interaction Effects of Risk Factors for Type 2 Diabetes Based on IV Feature Selection and the LightGBM Model
Authors: Yuan Xiaoyong
Published: April 2024

This study aims to explore the predictive strength of interactions among physical examination indicators regarding diabetes risk. It specifically addresses the utilization of the LightGBM polynomial kernel model for early diabetes screening and prognosis. Methods: The study utilized the PolynomialFeatures method to derive high-order interaction data from physical examination indicators. Employing the IV feature selection model, it identified strongly predictive factors, which informed the inputs for the LightGBM polynomial kernel prediction model to predict the risk of diabetes, with the model’s predictive performance evaluated based on the AUC. Results: The LightGBM prediction model, established using high-order factors selected by the IV model for their strong predictive ability, achieved an AUC of 0.9687 (95%CI: 0.9612~0.9762). Conclusion: The LightGBM model, built on high-order interaction factors with robust predictive power, shows significant potential for diabetes risk prediction in populations undergoing physical examinations.
Research on the Evaluation of Higher Vocational Students’ Occupational Literacy in the Context of Big Data
Authors: Zhou Yanli
Published: April 2024

The current education and evaluation systems for vocational literacy in higher vocational institutions are inadequate, hindering high-quality talent development. This study utilizes the hierarchical-gray correlation method to construct an evaluative framework for assessing vocational literacy, identifying key indices through a judgment matrix scaling method. We further refine our analysis using the Analytic Network Process (ANP) method to calculate the influence between indices, culminating in a comprehensive student vocational literacy evaluation model. Notably, our approach disregards dimensions in index evaluation, computing a final comprehensive score. The quality of our empirical investigation was assured through extreme value and homogeneity tests, revealing a Consistency Ratio (CR) between −26 and −20 (absolute value > 3) and a correlation coefficient (r) between 0.601 and 0.893 (absolute value < 0.4), with a significance level (P value) of 0.000, indicating high survey quality. Analysis of 21 tertiary components yielded an average score of 3.5260, with 42.86% of indices surpassing this average, suggesting generally good vocational literacy among students.
Research on the Construction of Translation Path of College English Teaching Based on Deep Learning Strategy
Authors: Liu Jiying , Li Zheng , Huang Qiuheng
Published: April 2024

Based on deep learning, this study explores a teaching model to promote college students’ English translation ability with the support of information technology. It mainly adopts the neural machine translation algorithm to make the training samples constitute data nodes with semantic feature-carrying properties through the profound training of semantic feature quantity. It then gets the best English translation utterance that recognizes the translated information. Using a combination of quantitative and qualitative methods, we explored the impact of deep learning strategies on English translation teaching in colleges and universities, as well as the evaluation of practical effects. The results of the study show that under the deep learning teaching mode, the English translation scores of college students are improved by 9.085 points, which is a significant difference (P=0.018) compared to the traditional teaching mode, indicating the excellent performance of the strategy in English translation teaching.
A Study on Role Orientation and Professional Development of Early Childhood Teachers in Preschool Education in the Context of Big Data
Authors: Wang Nini
Published: April 2024

This research delves into how early childhood teachers’ understanding of their roles impacts their professional advancement, essential for developing and nurturing children. We gathered data from six kindergartens in G city, employing a multiple linear regression model to scrutinize factors influencing this relationship. Our approach involved separate hypothesis formulation and model building, complemented by validity checks via endogeneity and robustness tests using advanced statistical methods. The analysis highlighted the importance of teachers’ emotional connection to their work, with a notable regression coefficient of 0.403. It demonstrated that enhancing core literacy by 1% leads to a 0.154% increase in professional development levels. The findings advocate focusing on emotional engagement and core skills to foster excellence in early childhood education.
Reform and Practice of Civic Teaching in Design Curriculum by Integrating Local Excellent Culture
Authors: Liang Guanbo
Published: April 2024

To scientifically constitute the reform of Civics teaching in design course, the support structure of Civics network resources in design course is subdivided into Civics theory and network technology. This paper mainly utilizes fuzzy set-based knowledge fusion algorithm and semantic similarity algorithm to realize the knowledge fusion of local cultural resources course ideology and politics, updates local artistic resources by combining the results of fusion of knowledge elements, establishes implicit connection between different knowledge elements, and realizes the knowledge fusion of local cultural resources and design studies course ideology and politics. Taking the design majors of six universities in Guangxi as an example, the information access channels of local excellent cultural resources are discussed in depth, in which the proportion of search engine and social network channels respectively reaches more than 70%, presenting a “strong” dependence level. Based on the data of practical teaching reform, the construction of local excellent culture courses of design majors in Guangxi colleges and universities needs to be further improved to deepen students’ understanding of local excellent culture and encourage them to actively participate in relevant practical activities.
Innovation of Talent Training Mode of Higher Vocational Education in the Information Age with Industry-Teaching Integration
Authors: Li Jiangwei , Wu Yang
Published: April 2024

The optimization of talent training structures and the promotion of scientific and technical accomplishments transformation may be achieved via the merger of industry and education with higher vocational education, particularly in the information technology era. This paper uses the fuzzy intuition stacked analysis method to compute the weights of the industry-education integration evaluation indexes and the binary semantics-based comprehensive evaluation method to convert the voice evaluation of experts into binary semantic information. According to the study’s findings, there will be 1,594 faculty members overall in 2021—114 more than there were in 2016. In 2021, there will be 1,012 full-time faculty members, representing 63.32% of the overall faculty members. Of the full-time professors on campus, 65.86% of them held a master’s degree in 2016. This represents the percentage of faculty degrees. 72.14% of all full-time professors on campus obtained their master’s degree in 2020, which is equivalent to 720 full-time faculty members. Furthermore, there is a general downward tendency in Institution B’s title faculty profiles from 2016 to 2020. Senior positions will be earned by 315 full-time faculty members, which is 31.56% of the total number of full-time professors on campus in 2020. In 2016 and 2020, the percentage of mid-level degrees was 48.38% and 45.19%, respectively. Assessing the degree of development of industry-taught integration can help modernize the governance structure and diversify the core integration. These developments will help enhance higher vocational education, enhance the development plan, and advance talent cultivation reform.
Reform of Innovation and Entrepreneurship Ability Cultivation System for Undergraduates in the Context of Economic Transformation and New Engineering Disciplines
Authors: Li Shangke
Published: April 2024

Science and technology and new industries are constantly changing, providing a more precise direction for innovation and entrepreneurship education in colleges and universities. To reform the cultivation system of college students’ innovation and entrepreneurship ability, this paper proposes the cluster core academic competence model (KAI) to analyze the learning process and the degree of knowledge absorption of college students engaged in bi-innovation education. The Group Learning Generation Network (GLGN) is constructed, and the GCN is used to update the GLGN, which can clearly show the practice and degree of difficulty of knowledge implementation, and focus on cultivating college students’ innovation and entrepreneurship ability. After the experimental research in this paper, the national innovation and entrepreneurship policy and innovation and entrepreneurship courses significantly correlate with the cultivation of innovation and entrepreneurship ability of college students. The Pearson correlation coefficient is 0.233 and 0.183 respectively, and the significance P-value is less than 0.01. From the aspect of the results of the innovation and entrepreneurship ability cultivation, the score of the college students’ participation in innovation and entrepreneurship competitions has risen to 0.098 after the reform, which shows that the reformed training system pays more attention to the education of innovation and entrepreneurship practice of college students.
Analysis of Artistic Instruction and Emotional Expression Pathways in College Piano Performance in the Internet Era
Authors: Liu Sha , Mao Dandan
Published: April 2024

As computer science advances, it intersects intriguingly with the realm of music acoustics, particularly in enhancing piano performance through technological means. This paper delves into an innovative approach to piano learning and creation, focusing on emotional expression’s nuances. We have devised a system capable of precise musical tone recognition and sound quality evaluation by adopting Mel Frequency Cepstral Coefficients (MFCC) for the nuanced extraction of piano sounds and integrating dynamic fuzzy neural networks. Our findings show an impressive accuracy rate, with musical tone misidentification below 2.58% and sound quality assessment errors within a 5% margin. This work not only sets a new benchmark in piano performance analysis but also paves the way for revolutionary teaching methods in music education, with profound implications for artistic instruction and emotional expression.
Reform of the Evaluation Index System of Civics Teaching in Higher Vocational Colleges and Universities Curriculum Oriented to the Demands of Vocational Positions in the Context of Deep Learning
Authors: Ma Xiaobing
Published: April 2024

Vocational and technical education professional courses have significant occupational relevance, and the teaching and evaluation design ideas of its course Civics should be drawn by the job tenure demand. In this paper, through the matching comparison between the characteristics of graduates of higher vocational colleges and the vector space of job demand characteristics, the residual optimal algorithm is used to construct the matching model of college students’ supply and demand so as to achieve the maximization of the total matching value between supply and demand. On the basis of the CIPP evaluation model and the teaching characteristics of courses in higher vocational colleges and universities, a fit analysis is carried out to construct the evaluation index system for the teaching of Civics and Politics in courses in higher vocational colleges and universities. The study shows that the weights of the four first-level indicators, namely, teaching background, teaching input, teaching process, and teaching effect, are 0.2042, 0.2592, 0.3754, and 0.1612, respectively, of which the teaching process has the most significant proportion of weight. Practical value can be gained from the teaching evaluation system.
Constructing Early Strategies for Cultivating Innovative Talents Based on Cognitive Behavioral Characteristics
Authors: Qiu Zhenzhong
Published: April 2024

The quest for innovative talent is more than an academic pursuit; it’s a strategic imperative for nations aiming to enhance their core competitiveness. Central to this quest is the early development of students’ scientific literacy, a focus grounded in cognitive behavior theory and enriched by the concept of ternary reciprocity. Our study introduces a novel approach to understanding and cultivating innovative talents, integrating a cognitive behavior system model to identify key influencing factors. Employing a fuzzy comprehensive evaluation method, we developed and tested an innovative talent cultivation strategy, yielding significant results: strategy effectiveness scores range from 2.1 to 2.3 for primary indicators and 1.8 to 2.3 for secondary indicators, with all indices showing statistically significant improvements (p < 0.05) when our strategies are applied. This research not only evidences the potency of our approach but also contributes actionable insights and methodologies for future innovative talent development.
Exploring the Path of Informatization Construction of Civic Education in Colleges and Universities in the Era of Melting Media
Authors: Shi Si
Published: April 2024

The development of informatization has increasingly become the transformation direction of the Civic Education in colleges and universities in the new media era. This paper outlines the path of civic and political information technology, in conjunction with campus networks in general, and presents a series of support mechanisms for information technology. Taking S university as a research case, firstly, Fractal Brownian motion is used to scientifically characterize the traffic of campus network users. The network group characteristics are estimated through the determination of the Hurst coefficient. Secondly, the Apriori algorithm is used to extract the association rules of online behaviors hidden in these traffic features to explore the relationship between online behaviors in time series. Finally, by combining the above features and association rules, we developed subspace clustering techniques for college students’ campus Internet usage behavior. We proposed a path for ideological education based on the clustering results. The results show that the online behavior of different students on campus shows significant differences. Class A students like to stay up late on weekends, and the number of such students online fluctuates slightly from 14:30 to 23:30. Class B students generally prefer to go online during the daytime. Class C students also have some students who stay up late, but the average duration is not long, with a maximum of 766 seconds. Class D students all stay up all night, and the peak of the mean value of the online duration occurs at 4:30. Class D students all stay up all night, and the peak of the mean value of the online duration occurs at 4:30. Category D students need to be given more attention in the management of political education.
Research on the Application Mode of Construction Engineering Safety Management Combined with BIM Technology
Authors: Wang Dongmei , Liu Shuqing , Jiang Weifeng
Published: April 2024

The advent of Building Information Modeling (BIM) technology heralds a new era in construction safety management. This research integrates BIM to forge a safety management system that proactively identifies construction risks and counteracts worker safety hazards in real-time. It also constructs a comprehensive BIM-based safety evaluation index, applying advanced multi-level fuzzy comprehensive assessment techniques and refined hierarchical analysis to calculate index importance. The study dissects safety management on multiple fronts through a detailed analysis of the construction safety practices at the new campus of People’s Hospital in Province A. The findings denote a basic level of success in collaborative safety efforts and an overall disappointing safety management score of 2.463, spotlighting an urgent need for systematic safety improvements within the project.
Exploration on the practice process of modernization of vocational education governance system based on big data
Authors: Yu Zhonghua , Feng Jian
Published: April 2024

In the era of big data, the integration of teaching and information technology has become a new trend in the development of modernized vocational education. Taking the big data majors of vocational college M as an example, this study explores the modernization of vocational education governance system, establishes a vocational education resource recommendation model based on K-Means clustering and FunkSVD algorithm, applies the model to analyze the students’ vocational abilities in terms of user profiles, and verifies the performance stability of the resource recommendation model through continuous iterative training of the model. Comparing the changes in students’ vocational abilities before and after using the resource recommendation model, the effects of the vocational education resource recommendation model are explored. It is finally concluded that the vocational skills of the selected students can be categorized into three types: the first type of students has the most muscular comprehensive strength and the highest proportion, 62.15%. The RMSE value of the resource recommendation model gradually decreases with the increase of data volume and iteration number. The RMSE value decreases by 0.06 when the data volume increases 10 times. The vocational ability of the selected students increases by about 0.05~0.15 after the resource recommendation, which verifies the recommendation effect of the model. The study can be used to improve students’ vocational competence and provide intelligent new ideas for the governance system of vocational education.
Construction of Intelligent Financial Supervision Mechanism for Colleges and Universities Based on RPA Technology
Authors: Zhao Huan
Published: April 2024

The RPA financial monitoring mechanism utilizes a predictive model to capture and store university data in preprocessing, and adopts a decision tree algorithm to construct a specific predictive model with good classification ability, and its logical structure is very similar to the decision-making ideas of human beings in the natural environment. CNN-LSTM financial risk assessment model is also utilized to carry out scientific risk assessment, the output of CNN is used as the input of LSTM, combining the advantages of the two to improve the learning ability of the financial fraud risk assessment model, and dynamic early warning can be accomplished beforehand for potential risk points. By analyzing the accuracy and coverage of the financial violation prediction model, 10.28% of violations were found with 96.7% accuracy. The accuracy is lower when the proportion of financial violations is higher. Risk assessment of fundraising activities and working capital of universities can be found that Z private universities have a relatively single source of income, tuition income is dominant, and in 2019, 2020 and 2022, the proportion of constructive expenditures of Z private universities reaches more than 20%, while the expenses of scientific research costs are less, however, the university’s comprehensive early warning status is relatively good. The financial risk is not significant and is in a safer range. In the university research fund violation supervision, the weight of researchers still have balance funds after two years after the completion of the project is 0.073, which indicates that the research project fund management supervision is not in place.
A study on the guiding role of educational management informatization in integrated physical education teaching and sports training
Authors: Zhou Yanhong
Published: April 2024

Employing the OpenPose model, this research advances the prediction and analysis of human skeletal points in videos, paving the way for refined action differentiation and posture analysis. By isolating unique posture features and developing a DTW-based algorithm for posture matching, we identify deviations in movements for corrective action in sports training. This methodology promotes the digitization of physical education, enabling personalized coaching and a detailed understanding of student performance. Our findings reveal a marked improvement in the experimental group’s movement evaluation scores, surpassing the control group by 82.86 points, with a P value of 0.000, and demonstrating significant skill test advancements (t=3.129, P<0.01). These results validate the approach’s potential to revolutionize physical education management and sports training with data-driven insights.
The Role of Mining and Detection of Big Data Processing Techniques in Cybersecurity
Authors: Wu Yubao
Published: April 2024

The need for advanced detection methods has become more critical in light of the increasing prevalence of network security incidents. This study proposes a novel approach to network security detection using a fuzzy data mining algorithm, addressing the rising challenges in big data processing and network security. The paper outlines the evolution of big data analytics by exploring the integration of network security detection, data mining, and structural feature analysis. Data for this research was collected using a sniffer device and underwent extensive preprocessing to ensure diversity and applicability. To overcome the limitations of traditional data mining, such as the issue of sharp boundaries, this method combines fuzzy logic with data mining techniques, enhancing conventional network security protocols. Simulation experiments demonstrate the efficacy of this fuzzy mining-based approach, with results showing 987,238 predicted positive cases, 93,951 of which were accurate. The method achieves an impressive 93.65% accuracy and 92.55% recall rate, proving its capability to promptly identify and mitigate suspicious network activities.
Line loss localization diagnosis and management measures of station area combined with data mining
Authors: Cheng Hui , Shen Jun , Wu Fangzhou , Gao Qian , Wei Yang
Published: April 2024

This study explores an advanced method for improving line loss in station areas, a vital issue in the energy sector. By analyzing line loss data from the X-area station using data mining and a novel convolutional neural network (CNN) model optimized with particle swarm optimization, we aimed to pinpoint and diagnose line loss issues effectively. Our model, which integrates specific line loss predictive parameters, underwent rigorous training and testing with collected data. The results were promising: the model's predictions closely matched actual data, with most errors under 0.1. It outperformed existing models in iteration speed, convergence time, and accuracy, evidenced by lower mean square error (0.0112), root mean square error (0.1023), and average absolute error (3.2514%). This research presents a potent tool for distribution network analysis, offering practical insights for line loss localization and diagnosis.