The Role of Digital Financial Services in Narrowing the Gender Gap in Low–Middle-Income Economies: A Bayesian Machine Learning Approach by Alicia Fernanda Galindo-Manrique, Nuria Patricia Rojas-Vargas

“…The Machine Learning approach evaluates the model’s ability to predict women’s autonomy and the role of digital finance. …”
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CFD simulation for segregation behavior of a ternary mixture in a bubbling fluidized bed: effect of solid wall boundary condition by M. rasteh, F. Farhadi

“…Abstract The effect of the solid–wall boundary condition on the segregation behavior of a sand ternary mixture differing in size but having the same proportion has been investigated in a gas–solid bubbling fluidized bed. A multi-fluid computational fluid dynamics model incorporating the kinetic theory of granular flow has been used. …”
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Post-disaster flooded region segmentation using DeepLabv3+ and unmanned aerial system imagery by Akila Agnes Sundaresan, Appadurai Arun Solomon

“…ResNet-50 proves to be the most effective backbone, achieving the optimal balance between segmentation accuracy and computational efficiency. The ASPP module enhances global and local feature extraction, while the decoder combines low-level spatial and high-level semantic features for precise pixel-wise segmentation. …”
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Solar Sail Transfers under Uncertainties: A Deep Reinforcement Learning Approach by Christian Bianchi, Lorenzo Niccolai, Giovanni Mengali

“…The trained control policies are then tested through Monte Carlo simulations to evaluate their effectiveness and robustness. As a case study, a 3-dimensional transfer from Earth’s orbit to Venus’ orbit is examined, demonstrating that the control policy derived from reinforcement learning is capable of guiding the sail to its target with good accuracy, providing real-time control with relatively low computational effort.…”
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Benchmarking Quantum Machine Learning Kernel Training for Classification Tasks by Diego Alvarez-Estevez

“…The experimental data call into question a general added value of applying QKT optimization, for which the additional computational cost does not necessarily translate into improved classification performance. …”
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Investigating Pb2 CAP-binding domain inhibitors from marine bacteria for targeting the influenza A H5N1. by Taha A Kumosani, Aymn T Abbas, Balogun Basheer, Ahmed M Hassan, Soonham S Yaghmoor, Areej H Alyahiby, Amer H Asseri, Vivek Dhar Dwivedi, Esam I Azhar

“…Subsequent molecular dynamics simulations, conducted using the Amber software suite, evaluated their binding affinities and dynamic interactions with the PB2 protein. …”
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Estimation of the Craniectomy Surface Area by Using Postoperative Images by Meng-Yin Ho, Wei-Lung Tseng, Furen Xiao

“…In this study, we implemented and compared three methods of estimating the craniectomy surface area for evaluating the decompressive effort. We collected 118 sets of preoperative and postoperative brain computed tomography images from patients who underwent craniectomy procedures between April 2009 and April 2011. …”
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Unveiling the Polypharmacological Potency of FDA-Approved Rebamipide for Alzheimer’s Disease by Israa J. Hakeem, Hadil Alahdal, Hanadi M. Baeissa, Tahani Bakhsh, Misbahuddin Rafeeq, Alaa Hamed Habib, Mohammed Matoog Karami, Maryam A. AL-Ghamdi, Ghadeer Abdullah, Abeer Al Tuwaijri

“…<b>Methods:</b> This study employed advanced computational methodologies to perform multitargeted molecular docking of FDA-approved drugs against four key AD-associated proteins implicated in disease progression. …”
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Enhancing Wind Turbine Efficiency: An Experimental Investigation of a Sensorless Three-Vector Finite Set Predictive Torque Control Approach for PMSG-Based Systems by Marouane Ahmed Ghodbane, Toufik Mohamed Benchouia, Mohamed Chebaani, Mohamed Becherif, Yassine Himeur, Amar Golea, Abdelmoumen Ghilani, Zakaria Alili, Shadi Atalla, Wathiq Mansoor

“…They can also suffer from problems like torque fluctuations, high computational demands, and reduced power quality. To make wind turbines work efficiently and reliably, especially under changing wind conditions, advanced control strategies are needed. …”
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Bioactive Cyclopeptide Alkaloids and Ceanothane Triterpenoids from <i>Ziziphus mauritiana</i> Roots: Antiplasmodial Activity, UHPLC-MS/MS Molecular Networking, ADMET Profiling, and... by Sylvestre Saidou Tsila, Mc Jesus Kinyok, Joseph Eric Mbasso Tameko, Bel Youssouf G. Mountessou, Kevine Johanne Jumeta Dongmo, Jean Koffi Garba, Noella Molisa Efange, Lawrence Ayong, Yannick Stéphane Fotsing Fongang, Jean Jules Kezetas Bankeu, Norbert Sewald, Bruno Ndjakou Lenta

“…Malaria continues to pose a significant global health burden, driving the search for novel antimalarial agents to address emerging drug resistance. This study evaluated the antiplasmodial potential of <i>Ziziphus mauritiana</i> Lam. …”
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Disease-modifying osteoarthritis drugs (DMOADs): new trends in osteoarthritis therapy by O. A. Shavlovskaya, О. А. Gromova, A. Yu. Kochish, Yu. D. Yukhnovskaya, I. D. Romanov, I. A. Bokova

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Electroencephalography Artifact Removal using Optimized Radial Basis Function Neural Networks by Shoorangiz Shams Shamsabad Farahani, Mohammad Mahdi Arefi, Amir Hossein Zaeri

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Determination of the constant pressure loss for a new segmented orifice with an inclined inflow plane by Marcin Heronimczak, Andrzej Mrowiec, Mariusz Rząsa, Krzysztof Koszela, Piotr Nowaczyk

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Analysis and Extension of Safety Mechanisms for Standardized Control Networks in Smart Grid by Jun Wu, Zhitao Guan, Ming Zhan, Jianhua Li, Yuwei Su

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Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques by S. Vijayalakshmi, Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

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Redactable blockchain with anonymity and multi-permission for instructional management by Xiuhua Lu, Jing Liu, Fengyin Li, Jiazheng Zou, Yuhao Hou

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The Degradation of Epoxy Resin-Coated ZnO Varistors at Elevated Temperatures and Ambient Humidity Conditions by Jianying Li, Shengtao Li, M. A. Alim, G. Chen

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Statistical Software Usability for Novice Research Students in the Social Sciences: An Eye-Tracking Study by Sedigheh Abbasnasab Sardareh, Gavin T. L. Brown, Paul Denny

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Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs by Thiago Fellipe Ortiz de Camargo, Thiago Fellipe Ortiz de Camargo, Guilherme Alberto Sousa Ribeiro, Guilherme Alberto Sousa Ribeiro, Maria Carolina Bueno da Silva, Luan Oliveira da Silva, Pedro Paulo Teixeira e Silva Torres, Denise do Socorro da Silva Rodrigues, Mayler Olombrada Nunes de Santos, William Salibe Filho, Marcela Emer Egypto Rosa, Magdala de Araujo Novaes, Thiago Augusto Massarutto, Osvaldo Landi Junior, Elaine Yanata, Marcio Rodrigues da Cunha Reis, Gilberto Szarf, Pedro Vieira Santana Netto, Joselisa Peres Queiroz de Paiva

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YOLO-MECD: Citrus Detection Algorithm Based on YOLOv11 by Yue Liao, Lerong Li, Huiqiang Xiao, Feijian Xu, Bochen Shan, Hua Yin

“…Accurate quantification of the citrus dropped number plays a vital role in evaluating the disaster resistance capabilities of citrus varieties and selecting superior cultivars. …”
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