bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengaruh Kompetensi dan Motivasi Arsiparis Terhadap Archival Organization Agility pada Perguruan Tinggi Negeri Badan Hukum Universitas Negeri Semarang
Authors: Febrianto Eko , Kuswantoro Agung , H. Rina Lilla , S. Andika R. 
Published: February 2025

All organizations face a competitive, rapidly changing and complex environment, and archival organizations are no different. The strategy that is often implemented by organizations or institutions is agile or nimble organizations or often called archival organization agility. In archival organization agility there are at least two influencing factors, namely competence and motivation. The aim of this research is to determine the influence of competence and motivation on archival organization agility. The scope of this research is the archival organization at Semarang State University with archivists as the research object. This research method uses a quantitative descriptive analysis method of causality with regression analysis. The results of the research concluded that: (1) The competence of archivists at the State University of Legal Entity, Semarang State University has a positive and significant influence on archival organization agility by 97%; (2) The motivation of archivists at the State University of Legal Entity, Semarang State University has a positive and significant influence on archival organization agility by 97%; (3) The competence and motivation of archivists at the State University of Legal Entity, Semarang State University positively and significantly influences archival organization agility by 98%.
Kurasi Digital Sastra Siber untuk Author dan Digital Publisher
Authors: Indrawati Tri , Tchaikovsky Virtu Ozo Fable , Patricia Aretha Hanny 
Published: February 2025

The advancement of digital technology has resulted in the rise of diverse manifestations of cyber literature. Cyber literature has different characteristics from conventional literature, so it requires a special approach to sustainability. Digital curation for cyber literature is important to ensure its sustainability as a form of expression. This research aims to explore the digital curation of cyber literature for authors and digital publishers. This research uses qualitative methods with case studies and a literature review. Data were obtained through interviews with authors and digital publishers on the KaryaKarsa platform as well as academic literature data that discusses cyber literature. The results of the study show that authors and digital publishers have curated cyber literary works in different ways. Authors generally store their works on physical storage devices, such as laptop hard drives and Onedrive. Digital publishers store their works on digital publishing platforms, such as KaryaKarsa cloud storage. Authors need to maintain their original works, by doing regular back ups and utilizing cloud storage. Storage can also be done through digital publishing to maintain future works.
Digitalization of Tourism in the Development of Samiran Tourism Village Based on Community Based Tourism in Selo, Boyolali
Authors: Hartini Sri , Wulandari Amy , Setiawan Feri , Puspitasari Ayu 
Published: February 2025

Tourism digital transformation can make it easier for tourists to access all forms of information about tourism destinations. The digitalization of tourism is a step forward in responding to the current civilization of society which is oriented towards digital media in meeting the need for tourism. The aim of this research is to identify and analyze 1) the form of tourism digitalization that must be implemented in the development of Dewi Sambi; 2) Forms of community participation in supporting the development of Dewi Sambi Digitalization; and 3) Obstacles encountered in developing digitalization of Dewi Sambi tourism. The urgency of conducting this research is because tourism digitalization is a very important strategy as a means of providing information, introducing, communicating and promoting the beauty and uniqueness of Dewi Sambi so that it has an impact on the development of Dewi Sambi and the lives of its people. The development of digitalization is studied through Afnarius' Digital Tourism theory. This research uses a qualitative method with a PAR (Participatory Action Research) approach. Data collection techniques were carried out with involved participants (participant observation) and independent interviews This research resulted in 1) In developing the digitalization of tourist villages, Dewi Sambi Management and the community, both Homestay owners and Samiran Asri MSMEs, were able to implement and optimize the digital marketing media they currently have, such as websites, WhatsApp, Instagram, TikTok, Facebook and Google; 2) People try to actively use social media, take part in digital marketing training, and are willing to use paid WiFi every month; 3) The obstacles that arise in the development of tourism digitalization are the lack of public knowledge about digital marketing platforms and the lack of ability of the public to create media content. In the end, this research is expected to provide benefits to the community, the management of Dewi Sambi, and relevant stakeholders to be able to develop the digitalization of tourism.
Improving Students' Descriptive Writing Achievements Through The Mind Mapping Method
Authors: Carolina Carolina , Susanti Susanti , Lestari Febrika Dwi , Simanjuntak Abdi Putra Arianto 
Published: February 2025

This study focused on finding out the effect of using mind mapping method of in teaching writing descriptive text. The objective of the study is to find out whether or not the mind mapping method affects students’ achievement in writing descriptive text. This study was conducted by applying study case research. The subject of the study was the Second-year students of HKBP Nommensen University. The writer took group A which consists of 20 students used Mind mapping. The writer took one class as random sampling to see the effect of Mind mapping method in teaching writing descriptive text. The data were taken by giving writing test. The tests were divided into two tests: pre-test and post-test for both the second cycle and the first cycles. The mean score of cycle I class is 57 and the post-test is 85,55. The mean score of pre-test in the cycle I is 53,4 and the post-test is 82,1. It is conducted that the mean score of cycle II is higher than a the first cycle. The result that the calculated > t-table as the level of significance p=0.05 (4,48 >1.734). The alternative hypothesis (Ha) is accepted and the null hypothesis (Ho) is rejected. It is suggested that teachers of English subject apply Mind mapping method as an alternative teaching technique to help writing ability at tenth grade students in university level.
Estudio técnico comparativo de levantamientos topográficos en terreno montañoso realizados con estación total, equipos GNSS, y UAV de consumo con y sin apoyo de puntos de control
Authors: Chaves Pabón Saieth Baudilio , Muñoz Serna Eder Felipe 
Published: February 2025

El objetivo del presente trabajo es realizar una comparación de tres tecnologías topográficas usadas comúnmente en el mapeo de terrenos montañosos: estación total, equipos GNSS y UAV de consumo. En esta comparación tomamos en cuenta criterios cronológicos, y técnicos para determinar las ventajas y desventajas de cada una de las tecnologías analizadas. En este estudio se determinó que las antenas GNSS, siempre y cuando cuenten con recepción satelital y una comunicación entre base y rover óptimas, ofrecen el mejor desempeño comparadas con las otras dos. Estas obtuvieron una precisión similar a la conseguida con estación total, con tiempos de ejecución considerablemente menores. En segundo lugar, se encontró que los datos recolectados con UAV, con puntos de control, permitieron realizar una descripción geomorfológica de la zona cuya precisión es sensiblemente inferior a la conseguida con las otras dos tecnologías analizadas. Esto evidenció que, para conseguir mayor precisión, es necesario realizar una alta densificación de puntos de control, aun cuando esto suponga un aumento de los tiempos de trabajo en campo.
Investigation of the effects of propofol and sevoflurane anesthesia on oxidant-antioxidant status and biochemical parameters in Turkish hair goats
Authors: Gülaydın Ali , İrak Kıvanç , Şındak Nihat , Akgül Mustafa Barış , Çelik Özgür Yaşar , Yıldırım Onur , Yılmaz Maruf , Gülendağ Erman 
Published: February 2025

Abstract

Objective
To investigate the effects of propofol and sevoflurane anesthesia on the oxidant-antioxidant status and biochemical parameters in Turkish hair goats.

Methods
The study was conducted from February 15 through March 15, 2024. Seven clinically healthy female Turkish hair goats aged 1 to 2 years with an average live weight of 29.95 (26.1 to 33.8) kg were included. A bolus of propofol (6 mg/kg) was injected IV. The goats were placed in the sternoabdominal position and administered 1% to 3% sevoflurane with 100% oxygen for 2 hours with the help of a vaporizer. Blood samples were collected before and after the administration of propofol and at the 15th, 30th, 60th, and 120th minutes after the start of sevoflurane administration in nonanticoagulated tubes. The oxidant-antioxidant status (serum total antioxidant status, total oxidant status, paraoxonase activity, and arylesterase activity) and biochemical parameters (levels of glucose, AST, GGT, ALT, ALP, LDH, creatine kinase, amylase, lipase, creatinine, urea, uric acid, high-density lipoprotein, low-density lipoprotein, total protein, albumin, total bilirubin, direct bilirubin, magnesium, chlorine, calcium, iron, sodium, phosphorus, and potassium) were evaluated. The heart rate, respiratory rate, and body temperature of the goats were measured using a bedside monitor.

Results
Arylesterase activity increased with sevoflurane administration. Changes were observed in heart rate and body temperature as well as in the levels of glucose, creatine kinase, urea, total bilirubin, and potassium at different time intervals of propofol-sevoflurane administration.

Conclusions
Propofol-sevoflurane anesthesia has no adverse effects on oxidant-antioxidant status in Turkish hair goats.

Clinical Relevance
The evaluation of heart rate and body temperature, as well as glucose, creatine kinase, urea, total bilirubin, and potassium levels, must be considered in propofol-sevoflurane anesthesia protocol.
Research on Innovative Teaching Strategies in Physical Education Empowered by New Technology
Authors: Wang Yong , Wang Xu , Zhang Zhijun 
Published: February 2025

Abstract
Digital technology has injected new vitality into college physical education teaching, and in the context of the digital era, college physical education has begun to transform from teaching form to teaching mode and from teaching concept to teaching resources. This paper realizes the innovative design of physical education teaching strategies under the empowerment of new technology by exploring the operation mechanism of new technology-enabled physical education teaching and constructs a specific implementation framework of the strategies. Subsequently, the implementation effect of teaching strategies was analyzed using an independent sample t-test. Under the technology acceptance model, Pearson correlation and multiple linear regression models were used to analyze students’ acceptance of new technology-enabled physical education teaching. The P-values of movement skill scores, performance scores, and total scores of the students under this teaching strategy were less than 0.05 compared to those of the students learning by traditional methods, all of which were significantly different and achieved higher scores. This indicates that physical education empowered with new technology helps students master movement skills, enhance expressiveness, and achieve better performance. In the stage movement assessment, the performance of students in the experimental group and the control group changed less significantly in the early stage but changed more significantly from the beginning of the middle stage to the late stage, and the significance of the difference gradually increased. This paper indicates a strategic path for the digital transformation of physical education.
Research and Application of Key Technology of Safety Situational Awareness for the Whole Process of Grid Infrastructure Construction Based on Edge-Side Scene Recognition and Knowledge Fusion
Authors: Chen Bo , Zhang Hongyu , Yang Runxi , Du Hongyu , Xu Mengzhu 
Published: February 2025

Abstract
Personnel violations in power construction sites pose significant safety risks and may lead to serious accidents. This paper proposes a method based on multi-sensor fusion and deep neural networks to recognize staff violations and fully understand on-site personnel behavior. By integrating data from multiple sensors, including visual and distance sensors, this method allows for precise personnel positioning and detailed behavior analysis. Fine-grained behavior analysis and recognition can be achieved by incorporating 3D point cloud data to obtain three-dimensional spatial information of personnel, and combining texture features of visible light images. The method first performs pre-processing and feature extraction on multimodal data, followed by integrating information from both data sources using a fusion strategy, and constructing a behavior recognition model using deep neural networks. Experimental results in complex real-world scenarios show that this method significantly outperforms single data source approaches in terms of recognition accuracy and robustness, effectively enhancing personnel behavior recognition in complex ground environments.
Optimisation Strategies and Mathematical Modelling of the Path to Improvement of Students’ Physical Fitness Levels in Higher Education Physical Education
Authors: Yang Yage 
Published: February 2025

Abstract
The development of physical education in colleges and universities can not only enrich the after-school lives of students and cultivate their sentiments, but also improve the physical fitness level of students and cultivate their sportsmanship in the new era. In this paper, we develop a diagnostic process for assessing the physical fitness level of college physical education students, present a dynamic monitoring framework for their physical fitness, and implement real-time data collection of students’ physical training using the LSTM model. The wavelet transform algorithm is used to get the dynamic features of the physical training data. It is then combined with the convolutional neural network to help the students recognize the features of their physical training. The associated dimension retrieval is then used to set up a test model for real-time monitoring and evaluation of the physical training data. The wavelet transform extracted the changing amplitude of the biceps brachii muscle, which ranged from -0.19 mV to 0.11 mV. The mean recognition accuracy of the students’ physical training features was 99.14%, and the RMSE fluctuation range of the students’ physical training monitoring was between 0.127 dB and 0.165 dB. The improvement of students’ physical fitness level in physical education in colleges and universities needs to start from the optimization of core strength and specialized physical fitness, which guides the promotion of physical fitness and the overall development of students in colleges and universities.
A Study on Behavioural Characterisation of Music Learners and Optimisation of Teaching Strategies Based on Data Mining
Authors: Zhao Zhou , Wei Zehui 
Published: February 2025

Abstract
With the development of big data technology, the field of music education has also begun to use data mining technology to analyze learners’ behavioral characteristics in order to provide better music teaching optimization strategies. In this paper, we design a music teaching model based on flipped classrooms and analyze the characteristics of students’ questioning behaviors in the classroom through analysts’ and students’ pre-course preparations, in-course analyses, and post-course feedback in an intelligent teaching environment. And using the iFIAS coding model, the behavioral characteristics of teacher-student interactions in the music-flipped classroom are coded and analyzed. In addition, this paper evaluates the teaching effect of the music-flipped classroom using a variety of teaching effect research methods. The rate of student analytical, evaluative, and comprehensive questioning increased by 12.02%, 12.30%, and 5.65%, respectively, in the music-flipped classroom. The average rate of teacher speech in the flipped classroom was 41.77%, and student speech was 28.47%, both of which showed optimized effects over the standard values. Students recognize the music-based flipped classroom teaching model proposed in this paper, and most of them give it a rating above 4 points. Students in the experimental group showed significant differences in music skill level, music learning interest, learning attitude, and independent learning ability after the experiment compared to the control group (P < 0.5). This study confirms that the flipped classroom can be used as an optimization strategy in music teaching.
The construction of an autonomous knowledge system in communication based on knowledge mapping
Authors: Li Huajin 
Published: February 2025

Abstract
Facing the profound changes in the media environment in the new media era, exploring the construction of an autonomous knowledge system of communication studies is of fundamental and directional significance to its disciplinary development. Under the guidance of the overall framework of knowledge mapping, a set of autonomous knowledge systems for communication science is being constructed. A feedback mechanism is introduced to the preprocessed communication studies corpus for ontology construction. In terms of data layer filling, a joint information extraction model based on Bert-BiLSTM-CRF-Att is proposed, after which the fusion and storage of the knowledge graph are realized through semantic similarity and Neo4j to complete the construction of the knowledge graph of the autonomous knowledge system of communication studies. Conducting experiments on the joint information extraction model, the model has a high recognition speed, and the F1 values of entity recognition and relationship extraction are 77.77% and 88.47%, respectively, which are better than the comparison model, and the experimental results reflect that the joint information extraction model has a better recognition efficiency and recognition accuracy, which proves the effectiveness of the information extraction model of this topic in the construction of the autonomous knowledge system of communication science. This paper’s construction of an autonomous communication knowledge system based on the knowledge graph can enhance the efficiency of communication knowledge acquisition and provide a new direction for the integration of communication knowledge.
A study on the construction of a data-driven civic assessment system for the course of composition and work analysis
Authors: Wang Dan , Li Yue , Wang Haidong 
Published: February 2025

Abstract
It is a pioneering work for colleges and universities to integrate the core concepts of Curriculum Civics into the teaching of professional courses. The purpose of this paper is to examine the construction of a data-driven course-oriented evaluation system for course ideology and politics, using the course of composition and work analysis as an example. Combining the CIPP model and big data mining technology, the preliminary selection of evaluation indexes is realised, and then after the questionnaire reliability and validity screening, the Civic Teaching Evaluation System of Curriculum Civics and Works Analysis is constructed. Then, the hierarchical analysis method and the entropy weight method are used to obtain the combined weights of the indicators. Finally, the fuzzy comprehensive evaluation method is used to verify the effectiveness of the constructed index system. The constructed evaluation index system includes 4 first-level indicators, 8 second-level indicators and 19 third-level indicators for teaching background, teaching input, teaching process and teaching results evaluation. In this study, the evaluation score is 3.4413, which belongs to the level between average and better, and it is more consistent with the evaluation results of experts, peer teachers and students’ evaluation subjects, which indicates that the evaluation system of the CIPP teaching of the course of song and work analysis constructed in this study has practicality.
Research on E-commerce Mode of Rural Common Wealth Realisation Path under the Internet Environment
Authors: Cen Yuming , Mo Haiyan 
Published: February 2025

Abstract
The rapid development of rural e-commerce provides significant impetus for rural revitalization and the realization of the goal of common wealth. It has emerged as a significant force in promoting rural economic growth, boosting farmers’ income, and achieving the integrated development of urban and rural areas. In this case, this paper studies the e-commerce model of the realization path of common prosperity in rural areas under the Internet environment in order to provide experience for the cultivation of the e-commerce industry in rural areas of China and the realization of the goal of common prosperity in rural areas. Firstly, we design an e-commerce platform for “Internet+” special agricultural products, establish a functional system, and implement the core technology of the e-commerce platform, which relies on cluster analysis and association rule algorithms. The rural areas of the Guangxi Zhuang Autonomous Region are selected as the investigation area, and the “Internet +” special agricultural products e-commerce platform proposed in this paper is used for the trial operation of agricultural product sales to explore the effect of using the platform constructed in this paper on the sales of agricultural products to increase income. To promote the prosperity of rural areas as a whole.
A Principal Component Analysis Approach to Maternal Mental Health Nursing Care
Authors: Jiang Chunmei 
Published: February 2025

Abstract
Pregnancy and childbirth are special and important stages in a woman’s life, and due to the great changes in physiology and external conditions, pregnant women may develop negative emotions, which may lead to mental health problems. The study is designed to explore the characteristics of maternal mental health, design relevant experiments, and mine its key factors using principal component analysis. After descriptive statistics and different analyses of the basic information and mental health of pregnant women, the influencing factors of maternal mental health were explored in depth so as to propose mental health care measures for pregnant women. The normative level was not met by the subjects when it came to their SCL-90 scores for maternal mental health factors. The maternal mood is not good and can lead to psychological problems. There were significant differences in maternal mental health across three dimensions: literacy level, work status, and family economic situation. Among the six principal components with a cumulative variance contribution rate greater than 90%, Components 1~6 were the principal component of own feelings, the principal component of basic objective status, the principal component of culture and education, the principal component of economic status, the principal component of social pressure, and the principal component of career development aspects, respectively.