bluuebunny/crossref_metadata_2025_split huggingface dataset:
Information-based teaching model of college modeling foundation course based on ADDIE model
Authors: Huang Yingying 
Published: September 2023

Abstract
Education informatization is an inevitable change in using information technology for education development in the education field in the information age. This study firstly takes Guilin college teachers as the research object, based on the ADDIE model and optimized BP neural network algorithm, and tries to understand the current situation of using informationized teaching resources of basic modeling course college teachers. Secondly, by analyzing the data collected from students’ evaluation of the ability to use informationized teaching resources of drawing design teachers in the basic modeling course, we found that there are still some problems in the informationized teaching of basic modeling courses in colleges and universities, and we explore these problems in depth. The analysis shows that 80.9% of teachers will use teaching equipment when teaching and 92.72% of teachers will use teaching tools. The students rated the teachers’ ability to use informatization teaching resources highly, and about 50% thought that teachers could use them. College teachers need to establish an awareness of lifelong learning and take the initiative to adapt to the needs of information-based teaching.
Construction of social governance capacity evaluation system based on the ADDIE model
Authors: Liu Yuyang 
Published: September 2023

Abstract
To improve social governance capacity, this paper proposes a social governance capacity evaluation system based on the ADDIE model. The system is mainly based on the public’s subjective evaluation of the effect of social governance, and 40 evaluation indicators of social governance capacity are constructed from five aspects: political governance, economic governance, social governance, cultural governance, and ecological civilization construction. Furthermore, the system is applied to test and evaluate the comprehensive development quality of the social governance level in Shandong Province and analyze the effect. In 2006-2014, Shandong economic governance modernization index had the highest weight of 0.3606 in the evaluation of the province’s governance status, followed by the political governance modernization factor and cultural governance modernization factor of 14.80%, and the ecological environment governance capacity weight is only 0.1213, indicating that the province-wide mainly focuses on economic development, and the investment in social and cultural status and ecological, environmental protection is still at a relative disadvantage. The evaluation of social governance capacity is a complex process, and the screening and quantitative evaluation of indicators should be optimized with the current status of social governance.
Analysis of ductility of hybrid fiber ultra-high performance concrete based on improved GA-BP neural network
Authors: Hu Qin , Gao Yuanzhi 
Published: September 2023

Abstract
Ultra-high-performance concrete is a cement-based material with ultra-high strength, outstanding toughness, and excellent durability, which enables structures to achieve larger spans and lighter dimensions. In this paper, an improved GA-BP neural network model is constructed based on BP neural network, which is optimized and improved by the GA algorithm. Then, the experimental data were input into the improved GA-BP neural network model by designing experiments with different types and volume doping of blended fiber UHPC, and the ductility of blended fiber UHPC was analyzed in terms of compressive strength and tensile strength. In terms of compressive strength, the compressive strengths of each group of PE fibers with 0.5%, 1.0%, and 1.5% volume doping were from PD/S<PD/H<PA/S<PA/H. In terms of tensile strength, the 1.0% volume doping of short straight type S and 1.5% volume doping of end hook type H had the best effect, and the tensile strength reached 12.44 MPa. GA-BP neural network can effectively analyze the factors influencing the ductility of blended fiber ultra-high performance concrete.
Evaluation of the effect of dance therapy for children with high-functioning autism based on the LightGBM model
Authors: Ma Fubo 
Published: September 2023

Abstract
In the context of big data development, the problem of evaluating the effectiveness of dance therapy for children with autism has attracted the attention of researchers. In this paper, feature selection and model construction use the Pearson correlation coefficient and sequence forward selection method to select the optimal feature subset through a Bayesian algorithm-based optimization of integrated LightGBM model, LightGBM model for Latin dance, aerobics, ballet, jazz, street dance, folk dance six autistic children treatment effect evaluation of weight and accuracy rate indicators. In the weight index, 93.4% of the improved LightGBM model performed better than 83.2% of the traditional LightGBM model. In the accuracy index, 95.6% of the improved LightGBM model performed better than 93.4% of the traditional LightGBM model. This study has a guiding reference value for treating autism in children, thus helping more autistic patients.
General layout design of mountain PV plant based on array spacing planning
Authors: Bai Yaoqing , Li Lingling , Lyu Chao 
Published: September 2023

Abstract
Reasonable determination of the installation inclination and array spacing of PV power plant modules is essential to improve the power generation efficiency of PV power plants. This paper firstly derives the formula for calculating the north-south spacing of PV arrays with arbitrary slope inclination and visualizes the north-south spacing of complex mountain PV arrays using ArcGIS. Secondly, a mountain PV array system is proposed to ensure that the system can still operate at the maximum power point in real-time when the solar radiation intensity changes drastically due to unpredictable environmental variables. Finally, to verify the feasibility of the active PV array system in real-life production, an experimental platform is built, and an operational test experiment of the active PV array system under partial shading conditions is conducted, as well as a long-term power boost comparison test. The experimental results show that the mountain PV array system has a 95.7% matching degree in the operation test experiment, which can be perfectly adapted to most PV plants; in the power boost comparison test, the power generation of the traditional PV system is 254Wh, and the power generation of the mountain PV array system is 483Wh, which is about 1.9 times higher than the performance of the traditional PV system. The mountain PV array system has good adaptability to various harsh and unexpected conditions and solves the problem of improving the power output of PV systems in the shadow-shaded environment of mountainous areas, which improves the general usability of PV.
An Exploration of the Challenges of Cross-border Data Flow for International Investment Law by Counting and Fuzzy Numerical Analysis Algorithms
Authors: Wang Qiao 
Published: September 2023

Abstract
In the context of globalization, cross-border data circulation has brought many challenges to international investment law. Based on fuzzy theory, this paper constructs the affiliation function of cross-border data flow for the fuzzy set of international investment law based on fuzzy theory statistical experiment strategy, then establishes the fuzzy numerical analysis method, and uses the entropy weight method to strengthen the connection between the weights and the initial data for the problem that the index weights are not objective enough. The entropy-weight-based fuzzy numerical analysis method will then study the privacy risk, management risk, and strategic risk brought by cross-border data growth to international economic cooperation. From 2010 to 2019, the privacy risk of cross-border flowing data increased by 32.16% on average, the management risk increased by 37.84% on average, and the strategic risk increased by 167.31% on average. Although none of these 3 risk assessments have yet exceeded 50%, they still challenge major economies to balance the regulation of cross-border data security and promote capital cooperation and circulation. Faced with the challenges brought by cross-border data flow, countries should start by improving international investment agreements and enhancing international consensus, take advantage of the advantages of large data resource countries, and promote the establishment of new rules for cross-border data flow.
Tracing down the updates on Ebola virus surges: An update on anti-ebola therapeutic strategies
Authors: Malik Shiza , Waheed Yasir 
Published: September 2023

Abstract
Ebola virus (EBOV) related health complications have presented a great threat to the healthcare system in the endemic regions. The outbreaks of 2013-2016 and 2018-2020 brought along a huge healthcare burden for the afected communities. Knowing the seriousness of the matter, a series of research experiments have been actively carried out to devise efective therapeutics, drugs, and vaccination protocols against the Ebola virus disease (EVD) in the past decade. The purpose of this piece of literature is to shed light on vaccination protocols being clinically evaluated for EVD. A methodological approach has been adopted to gather relevant data from the latest publications. The compiled data include the molecular mechanistic insights into Ebola infection and a brief overview of diferent vaccination strategies: inactivated and DNA vaccines, virus-like particles and replicons, reverse genetic and recombinant approaches, entry, ion, and gene expression inhibitors, and some repurposed drugs. This data will help the scientific community to get a comprehensive overview of therapeutic interventions against Ebola that could be related to modifying EBOV vaccines and designing other antiviral vaccinations. Having said that, further work in modern therapeutic design is pertinent to tackle and lessen the healthcare burden expected from such outbreaks in the future.
Endoscopic diagnosis and treatment of superficial non-ampullary duodenal epithelial tumors: A review
Authors: Zhao Zheng , Jiao Yue , Yang Shuyue , Zhou Anni , Zhao Guiping , Guo Shuilong , Li Peng , Zhang Shutian 
Published: September 2023

Abstract
The surface of the small bowel mucosa is covered more than any other section of the digestive canal; however, the overall prevalence of small bowel tumors of the whole gastrointestinal tract is evidently low. Owing to the improvement in endoscopic techniques, the prevalence of small bowel tumors has increased across multiple countries, which is mainly due to an increase in duodenal tumors. Superficial non-ampullary duodenal epithelial tumors (SNADETs) are defined as tumors originating from the non-ampullary region in the duodenum that share similarities and discrepancies with their gastric and colorectal counterparts in the pathogenesis and clinicopathologic characteristics. To date, white light endoscopy (WLE) remains the cornerstone of endoscopic diagnosis for SNADETs. Besides, narrow-band imaging (NBI) techniques and magnifying endoscopy (ME) have been widely used in the clinic and endorsed by multiple guidelines and consensuses for SNADETs’ evaluation. Confocal laser endomicroscopy (CLE), endocytoscopy (ECS), and artificial intelligence (AI) are also up-and-coming methods, showing an exceptional value in the diagnosis of SNADETs. Similar to the endoscopic treatment for colorectal polyps, the choices for SNADETs mainly include cold snare polypectomy (CSP), endoscopic mucosal resection (EMR), endoscopic submucosal dissection (ESD), and laparoscopic endoscopic cooperative surgery (LECS). However, owing to the narrow lumen, rich vascularity, weak muscle layer, abundant Brunner’s gland, and the hardship of endoscope control, the duodenum ranks as one of the most dangerous operating areas in the digestive tract. Therefore, endoscopists must anticipate the difficulties in endoscopic maneuverability, remain aware of the increased risk of complications, and then select the appropriate treatment according to the advantages and disadvantages of each method.
Approach to different thrombolysis techniques and timing of thrombolysis in the management of portal vein thrombosis in cirrhotic patients
Authors: Primignani Massimo , Tosetti Giulia , Ierardi Anna Maria 
Published: September 2023

Abstract
Thrombolysis is not currently recommended in cirrhotic patients with acute portal vein thrombosis (PVT) in most guidelines, because of the exceedingly limited data and the perceived high risk of bleeding adverse events. However, in the few studies including patients with cirrhosis, the rate of success was high and that of adverse events was similar in patients with or without cirrhosis. Hence, thrombolysis might be a rescue therapeutic option in patients with cirrhosis and acute, symptomatic thrombosis of the portal venous system, unresponsive to anticoagulation, provided a suitable timing is kept, less than 30 days and, if possible, less than 14 days from the acute onset of portal vein thrombosis. In this review perspective article, I discuss the several potential approaches of thrombolysis, either local or systemic, alone or combined with mechanical procedures for thrombus removal, or as a complement to Transjugular Intrahepatic Portosystemic Shunt placement, with a focus on the more suitable timing of thrombolysis. However, the very limited available data preclude from performing firm recommendations, and decision to carry out thrombolysis must take into account both the occurrence of major contraindications and the current critical clinical setting. In the next future, large high-quality multicentre studies will hopefully be able to settle more firm indications and preferable techniques.
Analisis Tingkat Pengetahuan dan Perilaku Swamedikasi Diare terhadap Mahasiswa Farmasi Universitas Tanjungpura
Authors: Esperanza Agvina Felicia , Pratiwi Liza , Rizkifani Shoma 
Published: September 2023

Self-medication is done to treat minor illnesses, such as diarrhea. Knowledge and behaviour of drugs usage in each individual affect self-medication so that irrational drugs usage can be prevent. This study determines the relationship between semester, knowledge and behaviour about diarrhea self-medication of pharmacy students at Tanjungpura University 2021/2022. The research method was carried out retrospectively in the form of a cross-sectioned questionnaire. Stratified random sampling method was used for sample selection. Rank-spearman analysis was used to analyze the relationship between semester level, knowledge and behaviour of diarrhea self-medication. Based on research, out of 232 respondents, majority of respondents were women, aged 21, obtained drugs from pharmacies without prescription (81,03%) and used adsorbent class for antidiarrheal drugs. Knowledges are classified from good (9,91%), moderate (28,45%) and low (61,64%). Behaviours are classified as appropiate (79,74%) and inappropriate (20,26%). The p-value results show the relationship between semester and knowledge 0,142; relationship between semester and behaviour 0,256 and relationship between knowledge and behaviour 0,318. The conclusion of this study is the relationship between semester and knowledge are categoried very low with positive significant relationship. Relationship between semester and behaviour and relationship between knowledge and behaviour are categoried low with positive significant relationship.
Prediksi Nilai Akhir Matakuliah Mahasiswa Menggunakan Metode K-Means Clustering (Studi Kasus : Matakuliah Pemrograman Dasar)
Authors: Ariawan Made Pasek Agus , Peling Ida Bagus Adisimakrisna , Subiksa Gde Brahupadhya 
Published: September 2023

Nilai akhir matakuliah merupakan salah satu komponen untuk kelulusan mahasiswa, selain mahasiswa dosen juga memiliki peran penting dalam hasil dari nilai akhir matakuliah mahasiswa. Tentunya diharapkan nilai akhir dari matakuliah yang diambil mahasiswa mendapatkan hasil yang maksimal. Dosen biasanya akan memberikan remedial bagi mahasiswa yang nilainya kurang dari standar kelulusan. Remedial biasanya akan diberikan setelah nilai akhir dikeluarkan. Remidial biasanya dilakukan berkali – kali sampai nilai akhir mahasiswa memenuhi standar dari perguruan tinggi. Tentunya proses remidial ini akan menghabiskan banyak waktu bagi dosen dan mahasiswa, dengan mengetahui perkiraan nilai akhir mahasiswa dapat memahami sejauh mana pemahaman mereka terhadap materi dan sejauh mana mereka telah mencapai tujuan pembelajaran. Hal ini dapat membantu mereka mengidentifikasi area-area di mana mereka perlu meningkatkan pemahaman atau keterampilan mereka.Berdasarkan permasalahan ini peneliti melakukan penelitian untuk memprediksi nilai akhir matakuliah mahasiswa. Data yang digunakan pada penelitian ini adalah data mahasiswa yang mengambil matakuliah pemrograman dasar. Metode yang digunakan pada penelitian ini adalah metode K-means clustering. Hasil dari prediksi menggunakan metode K-means clustering menunjukan tingkat Precision 86%, Recall 100%, akurasi 93%.
Penerapan K-Means Clustering Pada Pariwisata Kabupaten Bojonegoro Untuk Mendukung Keputusan Strategi Pemasaran
Authors: Al-Fahmi Barron Mahardhika , Rahmawati Endra , Sagirani Tri 
Published: September 2023

Dinas Kebudayaan dan Pariwisata Kabupaten Bojonegoro merupakan lembaga pemerintahan yang berfokus pada pariwisata yang ada di Kabupaten Bojonegoro. Pada dinas ini terdapat beberapa bidang dalam menjalankan pengelolaan pariwisata salah satunya bidang pariwisata yang mana bertujuan untuk meningkatkan kontribusi sektor pariwisata di Kabupaten Bojonegoro. Bidang pariwisata dalam mencapai tujuannya, tentu harus memiliki strategi dalam meningkatkan kontribusi sektor wisatanya. Salah satu dari strategi tersebut adalah membuat strategi pemasaran. Pemasaran yang tengah dijalankan oleh Bidang Pariwisata pada Dinas Kebudayaan dan Pariwisata Kabupaten Bojonegoro melalui pemanfaatan digital marketing serta melakukan direct marketing dengan memberi brosur pada masyarakat ketika mengunjungi obyek wisata atau event pariwisata. Bersumber dari wawancara yang dilakukan, didapatkan bahwa strategi tersebut terus menerus dilakukan karena belum adanya gambaran lebih jelas mengenai strategi yang efektif dan efisien. Pengukuran kegiatan marketing yang dijalankan saat ini dapat dilihat dari realisasi jumlah kunjungan yang mana tidak adanya kestabilan jumlah pengunjung dimana grafik menunjukan naik turun terutama pada tahun 2021 jumlah pengunjung turun drastis. Maka dari itu, untuk menentukan strategi pemasaran perlu dilaksanakan pengelompokan tempat wisata sesuai dengan kondisi dari data yang ada. Pengelompokan wisata dilakukan menggunakan teknik Data Mining menerapkan algoritma K-Means. Berdasarkan penelitian yang dilakukan dan perhitungan menggunakan K-Means menghasilkan 3 cluster.Sehingga, dengan adanya pengelompokan tempat wisata sesuai dengan kondisi dari data yang ada dapat menentukan strategi pemasaran perlu dilakukan dengan lebih efektif dan efisien.
Self-efficacy, test anxiety and mathematics performance in Uruguayan adolescents exposed to community violence
Authors: Mels Cindy , Cuevasanta Diego , Ortuño Victor 
Published: September 2023

Introduction. Community violence exposure (CVE) during adolescence relates negatively with academic performance, yet little is known about the mechanisms that underlie this association. Research on self-regulated learning identifies self-efficacy and test anxiety as key for explaining academic performance, while the stress process model of children's exposure to violence provides a framework for understanding how these aspects of the learning process may be debilitated by CVE.
Method. This study aims to explore the mediating role of self-efficacy and test anxiety in the relation between CVE and academic performance. In a sample of 110 adolescents from low-income neighborhoods in Montevideo, Uruguay, structural equation modeling was used to test the hypothesis that adolescents with higher CVE have lower self-efficacy and higher test anxiety, which in turn compromises their mathematics achievement. We also hypothesize an indirect negative effect of CVE on self-efficacy through test anxiety.
Results. Our data confirm that CVE is associated with test anxiety and mathematics score, yet not self-efficacy. While both self-efficacy and test anxiety relate to mathematics score, our sample does not support an indirect effect of CVE on mathematics performance through these variables. Furthermore, analysis reveal a surprising positive – yet small – indirect effect of CVE on self-efficacy through test-anxiety.
Discussion and Conclusion. As self-efficacy – a malleable tool for promoting academic outcomes – appears not directly related to CVE in our sample, it holds important potential for enhancing academic achievement in youth exposed to community violence. Implications for psycho-educational interventions are set forth.
<p>Diseño y validación de la Escala de Convivencia Escolar en educación Secundaria del noroeste de México</p>
Authors: Rodelo-Morales Norma Isabel , Fraijo-Sing Blanca Silvia , Tapia-Fonllem César Octavio 
Published: September 2023

Introducción. La convivencia escolar como punto importante en la calidad entre las interacciones es uno de los constructos más importantes en el análisis del comportamiento humano dentro del campo educativo (Cerda et al., 2019; Larios-Gómez, 2021). Para medir este constructo, se diseñó y validó la Escala de Convivencia Escolar en Educación Secundaria.
Método. La muestra se conformó por 641 estudiantes del noroeste de México (48% hombres, 52% mujeres, M edad=12.94 años). Para revisión de sus propiedades psicométricas, se realizó un análisis factorial confirmatorio, la validez convergente, de contenido, así como la consistencia interna.
Resultados. Los resultados del análisis confirmatorio mostraron una estructura factorial similar a la originalmente diseñada de 15 factores, además de índices aceptables de consistencia interna.
Discusión y conclusiones. A partir de estos resultados, se propone un instrumento válido para medir convivencia escolar en estudiantes de secundaria, de fácil comprensión y de respuesta rápida.
Qué procesos creativos intervienen en la realización de pruebas de pensamiento divergente
Authors: Ferrando Prieto Mercedes , Prieto Fernández María Dolores , Ferrándiz García Carmen 
Published: September 2023

Introducción. La psicología cognitiva ha sido capaz de identificar algunos de los procesos creativos claves que ayudan al pensamiento en la solución original y valiosa de problemas. Según la psicología cognitiva no existe un único proceso mental que dé lugar a soluciones creativas, sino que la creatividad surge del uso combinado de estos procesos. El objetivo de esta investigación es indagar sobre qué procesos están más relacionados con un alto rendimiento en las pruebas de pensamiento divergente.
Método. Para ello un total de 122 alumnos de edades comprendidas entre 12 y 17 años (M=14.22; DT=1.44) cumplimentaron distintas tareas de pensamiento divergente que valoran las dimensiones de fluidez, flexibilidad, originalidad y elaboración. Además, cumplimentaron la prueba Procesos Cognitivos Asociados a la Creatividad, CPAC (Miller, 2014) que valoran las dimensiones: generación de ideas; pensamiento metafórico y analógico; manipulación de ideas; imaginación; incubación; y flujo de ideas.
Resultados. Los resultados mostraron algunas correlaciones significativas pero muy débiles entre los procesos imaginación y fluir con algunas de las dimensiones del pensamiento divergente. Se establecieron dos grupos de alumnos: aquellos con mayor rendimiento creativo y aquellos con menor rendimiento creativo; y se realizaron análisis de diferencia de medias. Se encontró que no existían diferencias entre ambos grupos de alumnos.
Discusión o conclusión: No habiendo encontrado ningún proceso creativo con más impacto sobre el pensamiento divergente, se discute la hipótesis de Pringle y Sowden (2007) que afirma que las personas creativas no se caracterizan pore el tipo de procesos que utilizan, sino por su facilidad para cambiar de un proceso a otro.