Enhancing the students’ perception of machine learning methods-based drug formulation using R_programming educational protocols by Rania M. Hathout, Shaimaa S. Ibrahim

“…Objective The objective of this study was to assess the enhancement of non-computer sciences-based students’ perception of the use of machine learning methods such as PCA and HCA using R-programming in drug formulation. …”
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A practical and efficient model for benthic habitat parameters retrieval in optically shallow waters from four-band multispectral imagery by Yunhan Ma, Tong Han, Enze Wang, Zhongping Lee, Surendra Prasad, Gandercillar Wainiqolo Vosaki, Wenting Cao, Dongling Li, Juan Wang, Xiulin Lou, Huaguo Zhang

“…Additionally, it outperformed the traditional semi-analytical model, achieving greater accuracy while being over 100 times more computationally efficient. This model offers promising potential for large-scale, high-resolution monitoring of benthic habitats using four-band multispectral data, supporting improved understanding of reef health and informed decision-making.…”
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Evaluating User Interactions and Adoption Patterns of Generative AI in Health Care Occupations Using Claude: Cross-Sectional Study by Gabriel Alain, James Crick, Ella Snead, Catherine C Quatman-Yates, Carmen E Quatman

“…Our findings emphasize the urgent need for strategies addressing potential impacts on clinical workflows, patient decision-making, information quality, and health equity. …”
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Comparative Analysis of qSOFA, PRIEST, PAINT, and ISARIC4C Scores in Predicting Severe COVID-19 Outcomes Among Patients Aged over 75 Years by Daniela Rosca, Vamsi Krishna, Chandramouli Chetarajupalli, Adelina Maria Jianu, Ilona Emoke Deak, Claudia Raluca Balasa Virzob, Sorina Maria Denisa Laitin, Madalina Boruga, Rodica Lighezan

“…These tools can be crucial for early identification of patients at high risk of adverse outcomes, guiding clinical decision making, and optimizing resource allocation. …”
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Progression of the first stage of spontaneous labour: A prospective cohort study in two sub-Saharan African countries. by Olufemi T Oladapo, Joao Paulo Souza, Bukola Fawole, Kidza Mugerwa, Gleici Perdoná, Domingos Alves, Hayala Souza, Rodrigo Reis, Livia Oliveira-Ciabati, Alexandre Maiorano, Adesina Akintan, Francis E Alu, Lawal Oyeneyin, Amos Adebayo, Josaphat Byamugisha, Miriam Nakalembe, Hadiza A Idris, Ola Okike, Fernando Althabe, Vanora Hundley, France Donnay, Robert Pattinson, Harshadkumar C Sanghvi, Jen E Jardine, Özge Tunçalp, Joshua P Vogel, Mary Ellen Stanton, Meghan Bohren, Jun Zhang, Tina Lavender, Jerker Liljestrand, Petra Ten Hoope-Bender, Matthews Mathai, Rajiv Bahl, A Metin Gülmezoglu

“…Averaged labour curves may not truly reflect the variability associated with labour progression, and their use for decision-making in labour management should be de-emphasized.…”
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Optimization of Cocoa Pods Maturity Classification Using Stacking and Voting with Ensemble Learning Methods in RGB and LAB Spaces by Kacoutchy Jean Ayikpa, Abou Bakary Ballo, Diarra Mamadou, Pierre Gouton

“…Providing an objective and rapid assessment enables farmers to make informed decisions about the optimal time to harvest, helping to maximize the yield of their plantations. …”
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The age-adjusted Charlson comorbidity index in acetabular fracture in geriatric acetabular fractures by J.M. Bogallo, C. Castillejo, A. Ramirez, J.R. Cano, F. Rivas-Ruiz, E. Guerado

“…Conclusion: Presurgical ACCI and CFS scales may serve as a risk assessment method in treatment decision-making for patients with acetabular fracture. …”
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Real-time morphological and dosimetric adaptation in nasopharyngeal carcinoma radiotherapy: insights from autosegmented fractional fan-beam CT by Xiao-li Yu, Jiang Hu, Yu-xian Yang, Guang-yu Wang, Xin Yang, Wen-chao Diao, Lu Liu, Xiao-bo Jiang, Chen-di Xu, Liu-wen Lin, Le-cheng Jia, Hua Li, Yan-fei Liu, Ying Sun, Guan-qun Zhou

“…Abstract Background To quantify morphological and dosimetric variations in nasopharyngeal carcinoma (NPC) radiotherapy via autosegmented fan-beam computed tomography (FBCT) and to inform decision-making regarding appropriate objectives and optimal timing for adaptive radiotherapy (ART). …”
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The Impact of ICT on Student's Academic Performance in Selected Secondary Schools in Kabale District: A Case Study of Katuna Town Council. by Muzahura, Onesmus

“…The researcher recommended that; the government should provide enough funds for schools to purchase computers for instructional purposes and make available suitable computer environments in our secondary schools. …”
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Water quality index modelling and its application on artificial intelligence (AI) in conjunction with machine learning (ML) methodologies for mapping surface water potential zones... by Abhijeet Das

“…., World Health Organization guidelines is implanted to decipher the values ranging from natural to anthropogenic contribution.In the Mahanadi River Basin, Odisha, however, this study has highlighted the evaluation of surface water quality (WQ) for drinking reasons by the combined use of Machine Learning (ML) methodologies like Genetic Algorithm Particle Swarm Optimization-based WQI (GAPSO-WQI), with dependability-oriented decision-making approaches such as Firefly Algorithm (FA) and Algorithm of Weeds (AW), that have been used for river water quality monitoring and assessment due to their dependability and feasibility. …”
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[Artículo traducido] El índice de comorbilidad de Charlson ajustado por la edad en las fracturas acetabulares de los pacientes ancianos by J.M. Bogallo, C. Castillejo, A. Ramirez, J.R. Cano, F. Rivas-Ruiz, E. Guerado

“…Conclusion: Presurgical ACCI and CFS scales may serve as a risk assessment method in treatment decision-making for patients with acetabular fracture. …”
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Consideration of heterogeneity in the fragmentation of carbonate reservoir deposits in the modeling of acid treatments by Mukhametshin Vyacheslav Sh., Gilyazetdinov Ruslan, Khamzin Rinat

“…The criteria for their application are determined based on the influence of thickness properties, which will make it possible to make effective management decisions. …”
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Data Mining Classification Techniques for Diabetes Prediction by Hindreen Rashid Abdulqadir, Adnan Mohsin Abdulazeez, Dilovan Assad Zebari

“…RF offers 75,7813 greater precisions than Support Vector Machine (SVM).and may assist medical professionals in making care decisions. …”
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Lessons learned from the co-development of operational climate forecast services for vineyards management by N. Pérez-Zanón, V. Agudetse, E. Baulenas, P.A. Bretonnière, C. Delgado-Torres, N. González-Reviriego, A. Manrique-Suñén, A. Nicodemou, M. Olid, Ll. Palma, M. Terrado, B. Basile, F. Carteni, A. Dente, C. Ezquerra, F. Oldani, M. Otero, F. Santos-Alves, M. Torres, J. Valente, A. Soret

“…This service aims to help vineyard managers make decisions by anticipating the climate conditions up to three months in advance for a set of essential climate variables. …”
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Transparency and reproducibility in invasion science by Fabio Mologni, Jason Pither

“…For instance, only one study explicitly considered statistical power in the methods describing study design, and only 2 studies provided access to both data and code, which is the minimum requirement for computational reproducibility. We then discuss the implications that low statistical power has for published invasion science research, for designing studies, and for policymakers and practitioners relying on primary research to inform their decisions. …”
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Prediction of Train Station Delay Based on Multiattention Graph Convolution Network by Dalin Zhang, Yi Xu, Yunjuan Peng, Yumei Zhang, Daohua Wu, Hongwei Wang, Jintao Liu, Sabah Mohammed, Alessandro Calvi

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Quality Risk Evaluation of the Food Supply Chain Using a Fuzzy Comprehensive Evaluation Model and Failure Mode, Effects, and Criticality Analysis by Libiao Bai, Chunming Shi, Yuntao Guo, Qiang Du, Youdan Huang

“…The results suggest that this model can be used as a general guideline to assess the quality risk level in the food supply chain and achieve the most important objective of providing a reference for the public and private sectors when making decisions on food quality management.…”
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Utilizing Cell Transmission Models to Alleviate Accident-Induced Traffic Congestion in Two-Way Grid Networks by Yi-Sheng Huang, Yi-Shun Weng, Chun-Yu Shih

“…Its effectiveness relies heavily on accuracy, making proper calibration essential for deriving reliable design decisions. …”
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Device Evaluation, Treatment, and Explantation Recommendations (DETER): Review and Best Practices for Managing Neuromodulation Device Infections by Pritzlaff SG, Goree JH, Dare RK, D’Souza RS, Lee DW, Dudas AA, Kalia H, Orhurhu V, Singh N, Hagedorn JM, Mousavi A, James W, Leong MS, Meacham KW, Gulati A, Sheth SJ, Pena I, Shah JR, Murphy MZ, Nashi SE, Nasseri M, Khoury AM, Dorsi MJ, Falowski SM, Petersen EA, Tomycz ND, Wahezi S, Chakravarthy KV, Pope JE, Schatman ME, Amirdelfan K, Sayed D, Deer TR

“…This paper outlines best practices for diagnosing, managing, and treating neuromodulation device infections, focusing on guiding clinical decision-making from the onset of infection through treatment and potential reimplantation.Keywords: spinal cord stimulation, intrathecal pumps, procedure complications, infection control, surgical site infection…”
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Intelligent Optimization of OSPF Path Selection Using Machine Learning Models for Adaptive Network Routing by Rebeen Rebwar Hama Amin

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