bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction of Traditional Culture English Learning Resources Based on Data Mining Technology
Authors: Li Zhang  
Published: May 2024

This study explores the construction of traditional culture English learning resources through the integration of data mining technology, Bayesian neural networks (BNNs), and Dragonfly optimization techniques. The aim is to develop culturally authentic and linguistically rich educational materials that enhance language proficiency while deepening learners' understanding of traditional cultural nuances embedded within the English language. By leveraging BNNs, which account for uncertainty and variability in traditional cultural texts, and employing Dragonfly optimization to optimize search algorithms, educators can curate personalized and adaptive learning resources tailored to individual learners' needs and preferences. The utilization of data mining technology facilitated the extraction and analysis of vast datasets encompassing diverse aspects of traditional culture, including texts, images, and multimedia content The innovative approach presented in this study promises to revolutionize language education by fostering a deeper appreciation for traditional culture and promoting cross-cultural understanding and communication.
Genetic Algorithm Based on Operator Optimization in Illustration Art Design
Authors: Shaoqiang Chen  
Published: May 2024

The current research explores the use of Genetic Algorithm (GA) Based on Operator Optimization in graphic art design, to improve the creative process using computational methods. By improving genetic operators such as crossover and mutation, the technique streamlines the creation of visually appealing artwork, allowing artists to efficiently express their distinctive vision. Through testing and research, the study reveals the effectiveness of this strategy in automating repetitive processes, exploring new creative pathways, and creating audience-resonant artwork. The combination of computational intelligence and creative intuition improves efficiency while also encouraging creativity and experimentation in the realm of graphic art design. The work sheds light on the revolutionary potential of Genetic algorithms (GA) based on Operator Optimization, highlighting areas for future research and development at the interface of technology and artistic effort. The results indicate that a better genetic algorithm (GA) provides efficacy and optimizes the operator in art design using a genetic algorithm.
Classroom Management Effectiveness Assessment Model of English Teaching Based on Gustafson-Kessel Clustering Based Takagi-Sugeno Fuzzy Model with Wild Geese Algorithm
Authors: Jing Tang  
Published: May 2024

The classroom's evaluation of the teaching effect English has a demanding workload, complex statistics, among other factors. The assessment of classroom instruction quality plays a crucial role in creating a supportive environment that encourages and guides the improvement of university administration and services, as well as in igniting teacher enthusiasm, boosting their efficacy as teachers, and raising the standard of talent development. Strong ambiguity, fuzziness, and inexactness are the main questions that come up while thinking about the case of teaching quality evaluation. The Gustafson - Kessel Clustering Based Takagi-Sugeno Fuzzy (GK-TSF) model along with wild geese algorithm (GKTSF-WGA) method is proposed for classify the skills, attitudes, and verbal, classifications to improve the above issues. Initially, the data’s are gathered via the dataset of teaching assistant evaluation dataset. Afterward, the data’s are fed to pre-processing. In pre-processing segment; it removes the noise and enhances the input data’s utilizing adaptive robust cubature kalman filtering. The feature extraction section receives the output of the preprocessing. Fluency is extracted as a feature using the One - dimensional quantum integer wavelet S-transform in this case. After that, the extracted features are given to the GK-TSF model with wild geese algorithm for effectively classify skills, attitudes, and verbal. The proposed ET-GKTSF-WGA approach is implemented in MATLAB. The proposed ET-GKTSF-WGA method attains 23.05%, 28.95%, and 26.56% higher accuracy for skills; 23.12%, 25.43%, and 27.45%, higher accuracy for attitudes; 25.86%, 27.73%, and 21.04%, higher accuracy for verbal. The computational time performance of the proposed method attains 70.85%, 45.7%, 60.12%, and 35.34%, lower computation. The proposed ET-GKTSF-WGA method is in contrast to the current techniques like ET-FCE, ET-q-ROFs, and ET-K-MC, respectively.
Construction and Optimization of Financial Transformation Decision Model Based on Data Mining
Authors: Ruifen Zhao  
Published: May 2024

Real-time data processing and analysis is crucial in the financial markets since transactions in real time are directly linked to profit. Understanding the integration of finance and business allows the organization to enhance its core competitiveness by improving management and enabling it to lead business expansion more effectively. This manuscript proposes a Sparse Oblique Trees Algorithm (SOTA) optimized with the Waterwheel Plant Algorithm (WWPA) for the construction of financial transformation. The data are collected from multi-national organization dataset. Afterward, the data’s are fed to pre-processing. In pre-processing segment; it removes the noise and enhances the input data’s utilizing Data-Adaptive Gaussian Average Filtering (DAGAF). The outcome from the pre-processing data is transferred to the SOTA. The investment and dividend are successfully classified by using SOTA. The WWPA is used to optimize the weight parameter of SOTA. The proposed SOTA-WWPA is applied in python working platform. The proposed technique was computed by examining performance indicators like precision, F1-score, accuracy, sensitivity and recall. The proposed SOTA-WWPA technique yields improved results in terms of accuracy (16.65%, 18.85%, and 17.89%), sensitivity (16.34, 12.23%, and 18.54%), and precision (14.89%, 16.89%, and 18.23%). The proposed FT-SOTA-WWPA method is contrasted with the existing methods like FT-CNN, FT-MBLSTMNN, and FT-SVM models respectively.
Enhancing English Oral Teaching through Pyramidal Convolution Shuffle Attention Neural Network and Sea-Horse Optimizer using Virtual Reality Technology
Authors: Cuimin Sun  
Published: May 2024

The ultimate objective of teaching English to students is to help them become self-sufficient language learners and users, proficient in efficient language learning techniques, and capable of transmitting information in English. As a result, good English language instruction requires language communication training for both students and teachers, as well as between students. Compared to classroom instruction, English learning could easily facilitate English learning and provides a comfortable environment by reducing the drawback of the conventional classroom, which could lead to lower ratings for mental strain, absence of communication, and fear of making mistakes. To avoid these challenges, the pyramidal convolution shuffle attention Neural Network with sea-horse optimizer is proposed for classifying pronunciation, speaking proficiency, fluency, and intonation, of the English oral teaching. Initially, the data’s are gathered via the dataset of oral English teaching in virtual reality dataset. Afterward, the data’s are fed to pre-processing. In pre-processing segment; it removes the noise and enhances the input images utilizing federated neural collaborative filtering. The pre-processing output is fed to Feature extraction segment. Here, four statistical features such as kurtosis, mean, skewness, and standard deviation are extracted based on Adaptive and concise empirical wavelet transforms. After that, the extracted features are given to the pyramidal convolution shuffle attention neural network optimized with sea-horse optimizer algorithm for effectively classify the pronunciation, speaking proficiency, fluency, and intonation. The proposed EOT-VRT-PCSANN-SHO approach is implemented in MATLAB. The performance of the proposed EOT-VRT-PCSANN-SHO approach attains 99%, 98%, 97.5%, and 97%, as high accuracy, 98%, 98.5%, 95%, and 99% in F1 score, and 98.7%, 98%, 99%, and 97.5%, in precision, are high, when compared with existing methods.
Multitask Multi attention Residual Shrinkage Convolutional Neural Network Personalized Assessment Model of Tennis Teaching Based on Data Mining and Intelligent Recommendation
Authors: Yang Liu  
Published: May 2024

Tennis is highly explosive, continuous, intense sport that involves numerous continuous short-term explosive actions. This type of training is short-term, high-intensity, and focuses on competitive skills. Athletes must be physically fit and have long-term endurance to excel in technical and tactical skills during competition. In this manuscript, Multitask Multi attention Residual Shrinkage Convolutional Neural Network Personalized Assessment Model of Tennis Teaching Based on Data Mining and Intelligent Recommendation (MMARSCNN-PAM-TT-DM-IR) is proposed. The input data are collected from training levels of technical – sportive actions of 12-14 years old tennis players’ dataset. Initially the input data is preprocessed using Generalized Multi-kernel Maximum Correntropy Kalman Filter for exploring the data. The pre-processed data is given into Gradient Descent Namib Beetle Optimization (GDNBO) for choosing features from the dataset. Then, selected features are given to Dual Tree Complex Discrete Wavelet Transform to extract gray-scale statistical features such as Homogeneity, Entropy, Energy and Smoothness. Finally, the extracted feature attributes are given to MMARSCNN is used to Tennis Teaching Based on Data Mining. In general, MMARSCNN does not express some adaption of optimization strategies for determining optimal parameters to assure accurate Teaching of Tennis. Therefore, Zebra Optimization Algorithm (ZOA) is proposed to enhance weight parameter of MMARSCNN, which precisely Teaching of tennis depend on Data Mining. The proposed model is implemented, its efficacy is assessed utilizing some performance metrics such as accuracy, precision, F1-score, MSE, AUC. The proposed MMARSCNN-PAM-TT-DM-IR method provides 22.55%, 24.72% and 29.63% higher accuracy; 32.66%, 34.97% and 29.57% higher precision; 25.18%, 21.52% and 28.68% higher F1-Score is compared with existing method such as analysis characteristics of Tennis singles matches depend on 5G with data mining technology (AOC-TSM-DM), Tennis online teaching information platform depend on android mobile intelligent terminal (AMIT-TTP-DM), optimization analysis of Tennis players’ physical fitness index depend on data mining with mobile computing (OA-TP-DM-MC) respectively.
A Multi-Source Stream Analysis Model for Adult Education Sustainability Study
Authors: Qi Niu  
Published: May 2024

Adult education is instruction intended for students who are elder and have recently gone into employment. People have the opportunity to increase their expertise and develop new abilities by learning as adult students. Investigation into adult education has been ongoing for a while, and there have been efforts made all around the globe to increase its application. The study's objectives were to investigate the features of the courses provided by education centers (EC), determine if they promote equality, and determine any organizational obstacles to adult education that were connected to these courses. Through the training courses they provide, ECs attempt to satisfy the educational requirements of people and industries in a variety of subjects. As a result, this research suggested a Multi-Source Stream Analysis (MSSA) Model for Adult Education Sustainability Study. The adult education sessions were the source of the information for this investigation. The adult education provided by ECs was evaluated by several criteria, including technical knowledge, communication skill, art and music, customs management, and self confidence. The research demonstrates that adult education enhances educational achievement and other professional abilities and makes adults more capable of realizing their full capability.
Frequency Control of Interconnected Power System via SBO assisted Simultaneous Tuning Strategy in Presence of DFIG
Authors: A. Ravi Shankar  
Published: May 2024

To achieve the objectives of the automatic generation control (AGC) of wind integrated interconnected power system (WIIPS), better tuning and control strategies are required. This paper suggests simultaneous tuning strategy for the AGC and wind system controllers to improve the stability of the WIIPS. The bulk amount of wind is integrated into the grid using the doubly fed induction generator (DFIG) and its simplified model is used to simulate the WIIPS. Initially, classical controllers are opted in AGC mechanism to reduce the frequency disturbances caused by the load and wind generation uncertainties. Further, classical controllers of WIIPS are replaced with cascade controllers to enhance the system frequency profile during the disturbances. The optimal set of solutions of the classical and cascade controllers are examined by the satin bowerbird optimizer (SBO) with the help of integral square error as fitness function of the optimization problem. Comparisons are provided to show the merits of the WIIPS over normal interconnected power system, cascade controller over classical controller and simultaneous tuning strategy over regular tuning mechanism.
Integrated Passive Anti-Islanding Protection in Micro Grid
Authors: Nirali Upadhyay  
Published: May 2024

In last two decades due to major interest amongst power system engineers and policy makers penetration of different distributed energy resources (DREs) into power distribution network are significantly increased. Integration of DREs with conventional power grid is a complex issue and will impose some challenges against power engineers. The major challenge is protection of micro grid, which is based on how your protection strategies distinguish islanding and non islanding conditions correctly and timely. Methods used for have strengths and limitations in the areas like speed, accuracy, power quality and Non detection islanding zone. The prime motive of this research is to presents an efficient new integrated anti-islanding protection strategy using passive parameters. The proposed algorithm having a novel islanding detection technique, which discriminate the islanding events from the non islanding events of similar signature accurately with minimum non detection zone and minimum impact on power quality. The proposed strategy is the combination of different conventional and latest passive relays based on single and multiple parameters. Integration of different relays made in such a strategic way that it combines the strengths and benefits of each method and minimizes their limitations. The presented algorithm tested under MATLAB/SIMULINK environment in different network conditions. Finally, the efficiency of the algorithm has checked by testing it on standard microgrid structure. The results received from simulation confirmed that algorithm is detecting islanding conditions reliably and efficiently, followed by generation of trip/block signal correctly.
Linking Renewable Energy in Protected Areas for Sustainable Ecotourism Development
Authors: Shanker Bhattarai  
Published: May 2024

The tourism sector has been booming in South Asia for several years. Many local people have also started tourism with traditional approaches in various protected areas and homestay places in Nepal. In recent years, the “sustainable tourism” approach has been prioritized too even from the community level. The interrelationship between “renewable energy” and “ecotourism” can be better explored by looking at the link between “renewable energy” and “environment” and “renewable energy” and “tourism” simultaneously. Thus, to know how the use of renewable energy has fostered sustainable Eco-tourism development, a systematic review is conducted to find all peer-reviewed articles in English published between 2009 and 2023 associated with the impact of the use of renewable energy for sustainable ecotourism development. The important databases “Google Scholar, JSTOR, and ScienceDirect,” search yielded 18,113 articles. Among 167 full articles, only 24 articles fulfilled our inclusion criteria. This comprehensive review concludes that integrating “renewable energy sources" into various aspects of tourism in protected areas not only transforms the tourism industry into eco-friendly ecotourism but also increases tourist arrivals ultimately fostering economic growth in the long run. Maintaining and protecting ecotourism and renewable energy is the process of the IoE and IED. These two new protection protocol technologies are decentralized to collect the data and store them in a safe and secure. The protocol helps to maintain sustainability without affecting the environment
HOMENS E MULHERES NA ENFERMAGEM: UMA ANÁLISE HISTÓRICA QUANTITATIVA DOS ESTUDANTES NA UNIVERSIDADE DE BRASÍLIA
Authors: Rodrigues Thamyres de Sousa , Faustino Andréa Mathes 
Published: May 2024

Introdução: Há uma forte influência social e cultural, que resulta na associação entre o ato de cuidar, bem como as demais práticas profissionais da enfermagem com a figura feminina, fator que se repete mesmo diante do contexto atual, que, comparado ao século anterior, é mais favorável a inserção de homens na enfermagem. Objetivo: Analisar dados retrospectivos em relação à quantidade de homens e mulheres, enquanto ingressantes e egressos pelo Curso de Enfermagem em uma universidade pública federal, durante os anos de 1981 a 2019. Método: Estudo de natureza histórico-social, documental, com análise quantitativa, fundamentado no levantamento e sistematização de documentos históricos armazenados em setores e unidades da Universidade de Brasília (UnB). Resultados: Foi registrado um total de 1461 estudantes ingressantes no bacharelado, dos quais aproximadamente 76,7% eram mulheres e 23,3% eram homens. Em relação à licenciatura, verificou-se o ingresso de 441 discentes, sendo que destes, 373 eram mulheres (84,6%) e 68 eram homens (15,4%). A amostra final referente aos estudantes concluintes foi de 705 egressos, de modo que 626 eram mulheres, o que equivale a 88,8% do total, e 79 homens, representando cerca de 11,2% de todo quantitativo de egressos. Conclusão: Assim como apontado em outros estudos semelhantes, a pesquisa demonstrou que a maioria dos ingressantes e egressos do curso de Enfermagem da Universidade de Basília são do sexo feminino, característica que se mantém relativamente estável mesmo com as mudanças temporais, ao longo dos trinta e oito anos de análise.
Effects of Methyl Jasmonate on Quality and Phytochemical Contents of Postharvest ‘Kamphaeng Saen 42’ Mulberry Fruit
Authors:   Division of Plant Science Textiles and Design, Faculty of Agriculture and Technology, Rajamangala University of Technology Isan, Surin Campus, Muang, Surin 32000, Kammapana Laddawan 
Published: May 2024

The ‘Kamphaeng Saen 42’ mulberry fruit is consumed fresh and is rich in nutrients. However, it has a short shelf life of only 1-2 days under room temperature conditions. This research aimed to study the effects of methyl jasmonate (MeJA) on quality and phytochemical content of postharvest 'Kamphaeng Saen 42' mulberry fruit. The fruits were fumigated with 0 (control), 10, and 20 µmolL-1 MeJA at 20 °C for 6 h, then stored at 10 ± 2 °C, 90 ± 2 relative humidity (RH) for 8 days. The results showed that fruits treated with 10 µmolL-1 MeJA were most effective in retarding weight loss, and all treated fruits tended to exhibit reduced spoilage compared to the control, although the differences were not significant. Additionally, fruit treated with 10 µmolL-1MeJA showed a significant increase in phytochemicals and antioxidant activities; their total ascorbic acid and total phenolic contents were higher than in other treatments (p<0.01). Fruit treated with 20 µmolL-1 MeJA had a significantly increased skin color change (p< 0.05), resulting in the highest anthocyanin content. These results suggested that MeJA treatment effectively maintains quality and boosts phytochemical content in postharvest 'Kamphaeng saen 42' mulberry fruit.
Masses solides du pancréas : audit des comptes rendus de scanner au CHU Yalgado à Ouagadougou
Authors: Admin Admin , OUATTARA Boubakar  , ZANGA Moussa Soré  , NDE/OUEDRAOGO Nina Astrid  , TIEMTORE/KAMBOU Bénilde  Marie  Ange  , DAO Siaka Ben-Aziz  , KIENDREBEOGO Benoît  , ZIDA Maurice  , BAMOUNI Abel  , DIALLO Ousséini  , CISSE Rabiou  
Published: May 2024

Objectives : To make a qualitative analysis of the CT scan of solid masses of the pancreas in the surgical department of Yalgado Ouedraogo University Hospital in Ouagadougou.
Material and Methods: A retrospective analytical study of CT reports from hospitalized patients for pancreatic solid masses for one year, from January 1, 2015 to December 31, 2015 at the visceral surgery department of Yalgado Ouedraogo University Hospital.
Results: We collected eighteen (18) scanner reports; the data mentioned in all the reports were: detection and number of lesions, lesional characteristics, topography; the state of the bile ducts and the main pancreatic duct were not noted in 11 and 7 cases, respectively; The hemodynamic
behavior of the tumor after iodine injection has been reported in 16 cases; the extension of the tumor, in particular the perivascular infiltration, the possible lymphadenopathies and the possible presence of metastases were only reported in 5, 4 and 2 cases respectively. The technique and type of device, resectability of the tumor have not been reported in any review.
Conclusion : None of the TDM reports fully met the established standards of compliance; A computed tomography report must meet standards to allow better management.
Résumé
Objectifs : Faire une analyse qualitative des comptes rendus scanographiques des masses solides du pancréas au service de chirurgie du CHU Yalgado Ouédraogo à Ouagadougou.
Matériel et méthodes : Etude rétrospective analytique des comptes rendus de scanner de patients hospitalisés pour masses solides du pancréas pendant une année, du 1er janvier 2015 au 31 décembre 2015 au service de chirurgie viscérale du CHU Yalgado Ouédraogo.
Résultats : Nous avons colligé dix-huit (18) comptes rendus de scanner ; les données mentionnées dans tous les comptes rendus étaient : la détection et le nombre de lésions, les caractéristiques lésionnelles, la topographie ; l’état des voies biliaires et du canal pancréatique principal n’ont pas été notées respectivement dans 11 et 7 cas ; Le comportement hémodynamique de la tumeur après injection d’iode a été signalé dans 16 cas ; l’extension de la tumeur notamment l’infiltration péri vasculaire, les adénopathies éventuelles et la présence éventuelle de métastases n’ont été rapportées respectivement que dans 5, 4 et 2 cas. La technique de réalisation et le type d’appareil, la résécabilité de la tumeur n’ont été signalées dans aucun compte rendu.
Conclusion : Aucun des comptes rendus TDM ne répondait totalement aux normes de conformité établies ; Un compte rendu tomodensitométrique doit répondre à des normes afin de permettre une meilleure prise en charge.