From Binding-Induced Dynamic Effects in SH3 Structures to Evolutionary Conserved Sectors. by Ana Zafra Ruano, Elisa Cilia, José R Couceiro, Javier Ruiz Sanz, Joost Schymkowitz, Frederic Rousseau, Irene Luque, Tom Lenaerts

“…Prior experimental NMR work on the SH3 domain of Src showed that ligand binding induces long-range dynamic changes consistent with an induced fit mechanism. …”
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Commuting flow prediction using OpenStreetMap data by Kuldip Singh Atwal, Taylor Anderson, Dieter Pfoser, Andreas Züfle

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Lithological mapping and spectroscopic studies of carbonatite and clinopyroxenite from Hogenakkal carbonatite complex, India by Saraah Imran, Sourav Bhattacharjee, Ajanta Goswami, Aniket Chakrabarty

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Investigation of Error Probability for Grid and Random Uniform Topologies in a Variable Noise Environment by Mahmoud Zaki Iskandarani

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Estimating behavioural relaxation induced by COVID-19 vaccines in the first months of their rollout. by Yuhan Li, Nicolò Gozzi, Nicola Perra

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Multiple-Feature Construction for Image Segmentation Based on Genetic Programming by David Herrera-Sánchez, José-Antonio Fuentes-Tomás, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, José-Luis Morales-Reyes

“…However, performing accurate segmentation is difficult due to image variations. In this way, this work proposes an automated multiple-feature construction approach for image segmentation, working with magnetic resonance images, computed tomography, and RGB digital images. …”
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A new approach to Health Benefits Package design: an application of the Thanzi La Onse model in Malawi. by Margherita Molaro, Sakshi Mohan, Bingling She, Martin Chalkley, Tim Colbourn, Joseph H Collins, Emilia Connolly, Matthew M Graham, Eva Janoušková, Ines Li Lin, Gerald Manthalu, Emmanuel Mnjowe, Dominic Nkhoma, Pakwanja D Twea, Andrew N Phillips, Paul Revill, Asif U Tamuri, Joseph Mfutso-Bengo, Tara D Mangal, Timothy B Hallett

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EXAMINING THE IMPACT OF FEATURE SELECTION TECHNIQUES ON MACHINE AND DEEP LEARNING MODELS FOR THE PREDICTION OF COVID-19 by Hafiza Zoya Mojahid, Jasni Mohamad Zain, Marina Yusoff, Abdul Basit, Abdul Kadir Jumaat, Mushtaq Ali

Chemical Reaction Optimization for Minimum Weight Dominating Set by A. Pritam Khan Boni, B. Md. Rafiqul Islam

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IDMPF: intelligent diabetes mellitus prediction framework using machine learning by Leila Ismail, Huned Materwala

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Intelligent reflective surfaces in 5G and beyond: optimizing uplink satellite connectivity for IoT by Callistus Odinaka Obidiozor, Adeeb Sait, Tawfik Al-Hadhrami, Eman H. Alkhammash, Faisal Saeed

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A Data-Driven Approach Based on Deep Neural Network Regression for Predicting the Compressive Strength of Steel Fiber Reinforced Concrete by Nhat-Duc Hoang, Van-Duc Tran

“…A dataset, consisting of 303 samples and 12 predictor variables, is used to train the deep learning approach. Notably, the current work has carried out a comparative study to identify the suitable regularization strategy for establishing a robust SFRC strength estimation model. …”
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Machine learning approaches for imputing missing meteorological data in Senegal by Mory Toure, Nana Ama Browne Klutse, Mamadou Adama Sarr, Md Abul Ehsan Bhuiyan, Annine Duclaire Kenne, Wassila Mamadou Thiaw, Daouda Badiane, Amadou Thierno Gaye, Ousmane Ndiaye, Cheikh Mbow

“…Although not a substitute for direct observations, imputation emerges as a critical complementary tool to support robust and resilient climate information systems essential for agriculture, public health, and disaster risk management under intensifying climate variability.…”
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Unsupervised learning analysis on the proteomes of Zika virus by Edgar E. Lara-Ramírez, Gildardo Rivera, Amanda Alejandra Oliva-Hernández, Virgilio Bocanegra-Garcia, Jesús Adrián López, Xianwu Guo

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Variation-resilient spike-timing-dependent plasticity in memristors using bursting neuron circuit by Yize Liu, Jiayi Zhao, Yu Xiao, Peng Chen, Haisong Chen, Enhui He, Peng Lin, Gang Pan

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NFC-Based User Interface for Smart Environments by Susanna Spinsante, Ennio Gambi

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Network-based elucidation of human disease similarities reveals common functional modules enriched for pluripotent drug targets. by Silpa Suthram, Joel T Dudley, Annie P Chiang, Rong Chen, Trevor J Hastie, Atul J Butte

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Self-review and feedback in virtual reality dialogues increase language markers of personal and emotional expression in an empathetic communication training experience by Anna C.M. Queiroz, Jeremy N. Bailenson, Kristen Pilner Blair, Daniel L. Schwartz, Candace Thille, Anthony D. Wagner

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ChatGMP: A case of AI chatbots in chemical engineering education towards the automation of repetitive tasks by Fiammetta Caccavale, Carina L. Gargalo, Julian Kager, Steen Larsen, Krist V. Gernaey, Ulrich Krühne

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Application of Fuzzy-RBF-CNN Ensemble Model for Short-Term Load Forecasting by Mohini Yadav, Majid Jamil, Mohammad Rizwan, Richa Kapoor

“…Its results are validated while comparing with four benchmark models like multiple linear regression (MLR), support vector machine (SVM), ML-SVM, and fuzzy-RBFNN in terms of accuracy. …”
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