Preparing a scale for sports knowledge management and standardizing it for employees in student activities departments in Iraqi universities by Shakir Mahmoud Abdullah, Zeyad Mishaal Farhan, Yaseen Ali Khalaf, Omar Fadhil Yahya, Othman Adham Ali

“… Introduction: The importance of the research lies in the need to exchange sports knowledge between principals and their assistants and all workers in the field of extracurricular student activities, especially in the sports field. …”
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A informatização dos tribunais brasileiros e as mudanças na burocracia judiciária: linearidade e instantaneidade observadas com a ajuda da metodologia do text mining by Luciana Yeung, Paulo Eduardo Alves da Silva

“…Além disso, constatou-se grande quantidade de rotinas no andamento do processo (centenas e, em alguns casos, mais de mil), o que, apesar da curta duração de cada uma, acaba tornando o processo longo. Assim, por trás da aparente celeridade e eficiência do processo eletrônico, existe uma morosidade devido à exigência do cumprimento de inúmeras rotinas, o que pode ser o principal obstáculo à maior celeridade no processo judicial pós-informatização.…”
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Piper-PCA-Fisher Recognition Model of Water Inrush Source: A Case Study of the Jiaozuo Mining Area by Pinghua Huang, Xinyi Wang

“…During the one-by-one rediscrimination process of 28 groups of training samples using the Piper-PCA-Fisher water inrush source model, 100% correct discrimination rate was achieved. During the prediction and discrimination process of 13 samples, one water sample was misdiscriminated; hence, the correct prediscrimination rate was 92.3%. …”
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Comprehensive Environmental Monitoring System for Industrial and Mining Enterprises Using Multimodal Deep Learning and CLIP Model by Shuqin Wang, Na Cheng, Yan Hu

“…Results reveal that the multimodal LSTM-CLIP model achieved an anomaly detection accuracy of 0.98 in environmental monitoring, marking a 0.10 improvement over the unimodal LSTM model, with a response time of merely 110.25 milliseconds. …”
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Using tree-based models to identify factors contributing to trait negative affect in adults by Catalina Cañizares, Yvonne Gómez-Maquet, Eugenio Ferro, Carlos Arturo Torres, Diana María Agudelo, Gabriel Odom

“…The regression tree model achieved strong performance metrics, including an R-squared value of 0.77. …”
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Comparative Performance of Sentinel-2 and Landsat-9 Data for Raw Materials’ Exploration Onshore and in Coastal Areas by Morgana Carvalho, Joana Cardoso-Fernandes, Francisco Javier González, Ana Claudia Teodoro

“…The demand for Critical Raw Materials (CRM) is increasing due to the need to decarbonize economies and transition to a sustainable low-carbon future achieving climate goals. To address this, the European Union is investing in the discovery of new mineral deposits within its territory. …”
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Unlocking watershed mysteries: Innovative regionalization of hydrological model parameters in data-scarce regions by Temesgen T. Mihret, Fasikaw A. Zemale, Abeyou W. Worqlul, Ayenew D. Ayalew, Nicola Fohrer

“…New hydrological insights for the region: The RBA outperformed PSA and SPA in parameter transfer, achieving R² values of 0.57, 0.79, and 0.67; PBIAS values of 7.3, −1.5, and 2.6; and NSE values of 0.58, 0.78, and 0.67 for Beressa, Dedessa, and Gilgel Abay, respectively. …”
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Study on Deformation Mechanism and Support Measures of Soft Surrounding Rock in Muzhailing Deep Tunnel by Zhigang Tao, Jindong Cao, Liu Yang, Aipeng Guo, Ruifeng Huang, Xiaojie Yang, Di Yuan, Lin Hou

“…The NPR cable can achieve large deformation under the condition of constant support resistance. …”
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UV Hyperspectral Imaging and Chemometrics for Honeydew Detection: Enhancing Cotton Fiber Quality by Mohammad Al Ktash, Mona Knoblich, Frank Wackenhut, Marc Brecht

“…Additionally, partial least squares regression (PLS-R) was utilized to predict the honeydew content for each pixel in hyperspectral images, achieving a cross-validation coefficient of determination <i>R</i>² = 0.75 and root mean square error of RMSE = 0.8 for the honey model. …”
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Urdu Handwritten Characters Data Visualization and Recognition Using Distributed Stochastic Neighborhood Embedding and Deep Network by Mujtaba Husnain, Malik Muhammad Saad Missen, Shahzad Mumtaz, Dost Muhammad Khan, Mickäel Coustaty, Muhammad Muzzamil Luqman, Jean-Marc Ogier, Hizbullah Khattak, Sikandar Ali, Ali Samad

“…The accuracy achieved in recognition of Urdu characters and numerals among the approaches for the same task is found to be much better. …”
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Parameters Influencing Sulfur Speciation in Environmental Samples Using Sulfur K-Edge X-Ray Absorption Near-Edge Structure by Siwatt Pongpiachan, Kanjana Thumanu, Charnwit Kositanont, Klaus Schwarzer, Jörg Prietzel, Phoosak Hirunyatrakul, Itthipon Kittikoon

“…Further investigation on “self-absorption” effect revealed that the maximum sensitivities of sulfur K-edge XANES spectra were achieved when diluting sulfur compound standards with boron nitride (BN) at the mixing ratio of 0.1%. …”
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Vegetation runoff and sediment reduction benefits and influential factor in the Loess Plateau of China: A meta-analysis by Mengrou Jia, Cong Han, Jianzhi Niu, Miao Wang, Linus Zhang, Ronny Berndtsson

“…The Loess Plateau is one of the most severely affected regions in China by soil erosion, where vegetation restoration is the principal strategy for soil and water conservation. …”
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Classification of Strawberry Maturity Stages and Varieties Using Neural Networks Based on Volatile Organic Compounds by Jing Huang, Xuenan Zhang, Hang Yang, Zhenbiao Li, Zhengfang Xue, Qingqing Wang, Xinyuan Zhang, Shenghua Ding, Zisheng Luo, Yanqun Xu

“…The accuracy of all models ranged from 90.00% to 98.33%, with the NN model demonstrating the best performance. Specifically, it achieved 96.67% accuracy for single-maturity classification, 98.33% for single-variety classification, and 96.67% for dual maturity and variety classification, along with 98.09% precision, 97.92% recall, and 97.91% F1 score. …”
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A Study on Canopy Volume Measurement Model for Fruit Tree Application Based on LiDAR Point Cloud by Na Guo, Ning Xu, Jianming Kang, Guohai Zhang, Qingshan Meng, Mengmeng Niu, Wenxuan Wu, Xingguo Zhang

“…Experimental results indicate that the PLSR model outperformed other approaches, achieving optimal performance with three principal components. …”
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Quality improvement exercises in Inflammatory Bowel Disease (IBD) services: A scoping review. by Katie Ridsdale, Kajal Khurana, Azizat Temidayo Taslim, Jessica K Robinson, Faith Solanke, Wei Shao Tung, Elena Sheldon, Daniel Hind, Alan J Lobo

“…The objectives of this review were to document the scope and quality of published quality improvement initiatives in IBD, highlight successful interventions and the outcomes achieved.<h4>Design/method</h4>We searched MEDLINE, EMBASE, CINAHL and Web of Science. …”
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Long-term effects of institutional quality on financial inclusion in Asia–Pacific countries by Duc Hong Vo

“…We find that improved institutional quality is fundamental to achieving financial inclusion in the region. These effects are particularly prominent in high-income countries in the Asia–Pacific region. …”
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Physicochemical Properties and Fertility Assessment of Soils in Foumban (West Cameroon) by Vivien Piercy Lotse Tedontsah, Michel Bertrand Mbog, Gilbert François Ngon Ngon, Robert Christel Edzoa, Bernard Tassongwa, Dieudonné Bitom, Jacques Etame

“…Given the low productivity recorded in this locality, this study aims to assess the state of soil fertility in this locality in order to redefine the major agro-ecological complexes in Cameroon. In order to achieve this objective, ninety (90) soil samples of this area were studied in order to determine their physicochemical parameters, namely, soil organic carbon (OC), total nitrogen (N), available P, total P, exchangeable cations (Ca, Mg, K, and Na), cation exchange capacity (CEC), and pH of water. …”
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Telaprevir in treatment of chronic hepatitis C: safety issues by T. M. Ignatova

“…Increase of frequency and severity of skin reactions, that was a principal cause of treatment cancellation, is of special importance. …”
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Adaptive Gaussian Incremental Expectation Stadium Parameter Estimation Algorithm for Sports Video Analysis by Lizhi Geng

“…Our proposed visual object tracking algorithm not only outperforms existing visual object tracking algorithms in terms of accuracy, success rate, accuracy, and robustness but also achieve the performance required for real-time tracking in terms of execution speed on the central processing unit (CPU). …”
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A Program for Postgraduate Diploma in Human Resource Management by Kabale University

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