Docking Simulations of G-Protein Coupled Receptors Uncover Crossover Binding Patterns of Diverse Ligands to Angiotensin, Alpha-Adrenergic and Opioid Receptors: Implications for Car... by Harry Ridgway, Graham J. Moore, Laura Kate Gadanec, John M. Matsoukas

“…Recent bioassay studies have unexpectedly supported the high (computationally predicted) binding affinities of angiotensin receptor blockers (ARBs) at α-adrenergic receptors (αARs) in isolated smooth muscle. …”
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Distributed simulation of fully coupled hydrological-hydrodynamic model for predicting rainfall-induced runoff/flood in small watersheds by Yulong Zhu, Yu Gao, Bonan Wang, Binh T. Nguyen, Yafen Zhang, Baolin Xue

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Laser Phase Noise Effects and Joint Carrier Phase Recovery in Coherent Optical Transmissions With Digital Subcarrier Multiplexing by Meng Qiu, Qunbi Zhuge, Mathieu Chagnon, Fangyuan Zhang, David V. Plant

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A Novel Connected-Components Algorithm for 2D Binarized Images by Costin-Anton Boiangiu, Giorgiana-Violeta Vlăsceanu, Constantin-Eduard Stăniloiu, Nicolae Tarbă, Mihai-Lucian Voncilă

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Arabic Fake News Dataset Development: Humans and AI-Generated Contributions by Hanen Himdi, Nuha Zamzami, Fatma Najar, Mada Alrehaili, Nizar Bouguila

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Analysis of <i>BMAP</i>/<i>PH</i>/<i>N</i>-Type Queueing System with Flexible Retrials Admission Control by Sergei A. Dudin, Olga S. Dudina, Azam A. Imomov, Dmitry Y. Kopats

“…This research examines a multi-server retrial queueing system with a batch Markov arrival process and a phase-type service time distribution. …”
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DecoStrat: Leveraging the Capabilities of Language Models in D2T Generation via Decoding Framework by Elias Lemuye Jimale, Wenyu Chen, Mugahed A. Al-antari, Yeong Hyeon Gu, Victor Kwaku Agbesi, Wasif Feroze

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A Distributed Machine Learning-Based Scheme for Real-Time Highway Traffic Flow Prediction in Internet of Vehicles by Hani Alnami, Imad Mahgoub, Hamzah Al-Najada, Easa Alalwany

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Generative AI Models (2018–2024): Advancements and Applications in Kidney Care by Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla

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Assisted-Value Factorization with Latent Interaction in Cooperate Multi-Agent Reinforcement Learning by Zhitong Zhao, Ya Zhang, Siying Wang, Yang Zhou, Ruoning Zhang, Wenyu Chen

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A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique by Sajida Perveen, Abdullah Alourani, Muhammad Shahbaz, M. Usman Ashraf, Isma Hamid

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Flexible Job Shop Scheduling Optimization Using Genetic Algorithm For Handling Dynamic Factors by Masmur Tarigan, Ford Lumban Gaol, Tuga Mauritsius, Widodo Budiharto

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Advanced IoT-integrated parking systems with automated license plate recognition and payment management by Gulmini Pradhan, Manas Ranjan Prusty, Vipul Singh Negi, Suchismita Chinara

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Real-Time Integration of Optical Coherence Tomography Thickness Map Overlays for Enhanced Visualization in Epiretinal Membrane Surgery: A Pilot Study by Ferhat Turgut, Keisuke Ueda, Amr Saad, Tahm Spitznagel, Luca von Felten, Takashi Matsumoto, Rui Santos, Marc D. de Smet, Zoltán Zsolt Nagy, Matthias D. Becker, Gábor Márk Somfai

“…Subsequently, for consecutive frames, feature point extraction (the Shi–Tomasi method) and optical flow computation (the Lucas–Kanade algorithm) were used to calculate frame-by-frame transformations, which were applied to the OCT image to maintain alignment in near real time. (3) Results: The method achieved a 92.7% success rate in optical flow detection and maintained an average processing speed of 7.56 frames per second (FPS), demonstrating the feasibility of near real-time application. (4) Conclusions: The developed approach facilitates enhanced intraoperative visualization, providing surgeons with easier retinal structure identification which results in more comprehensive data-driven decisions. …”
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Improving GNSS precise point positioning with tropospheric constraints from data-driven numerical weather prediction model by Yuanfan Deng, Wu Chen, Junsheng Ding, Ahmed El-Mowafy, Duojie Weng, Long Tang, Lei Bai, Xiaolong Mi

“…This reliance can introduce approximation errors and increase computational demands, limiting their effectiveness. …”
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Interactive Analysis and Visualisation of Annotated Collocations in Spanish (AVAnCES) by Simon Gonzalez

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Terrestrial laser scanning point clouds and tree attributes from 55 sample plots at the Evo test site (spring 2024) by Tuomas Yrttimaa, Lauri Liikonen, Aapo Erkkilä, Mikko Vastaranta

“…For individual trees, the point clouds were further processed to derive key attributes such as crown projection area, crown diameter, and stem diameter. …”
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Configuring adaptive PID-controllers of the automatic speed control system of the GTE by K. E. Chertilin, V. D. Ivchenko

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A Modified Kalman Filter Based on Radial Basis Function Neural Networks for the Improvement of Numerical Weather Prediction Models by Athanasios Donas, George Galanis, Ioannis Pytharoulis, Ioannis Th. Famelis

“…The proposed modified Kalman filter utilizes Radial Basis Function neural networks to estimate covariance matrices adaptively during the filtering process. This self-adaptive computational system enables the simultaneous targeting of the systematic and the remaining non-systematic parts of the forecast error, producing an innovative and efficient post-process strategy. …”
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A Multimodal Convolutional Neural Network Based Approach for DICOM Files Classification. , 2025(1), e70107. by Mabirizi, Vicent, Wasswa, William, Kawuma, Simon

“…This conversion leads to metadata loss and classification bias, the developed model processes raw digital imaging and communication in medicine files, thereby preserving both pixel data and embedded metadata. …”
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