Novel control strategies for electric vehicle charging stations using stochastic modeling and queueing analysis by Shreekant Varshney, Kaibalya Prasad Panda, Manthan Shah, Bhasuru Abhinaya Srinivas, Ankit Deshmukh, Kapil Kumar Choudhary, Mohit Bajaj, Lukas Prokop, Olena Rubanenko

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A 3-D Full-Wave Model to Study the Impact of Soybean Components and Structure on L-Band Backscatter by Kaiser Niknam, Jasmeet Judge, A. Kaleo Roberts, Alejandro Monsivais-Huertero, Robert C. Moore, Kamal Sarabandi, Jiayi Wu

“…Microwave remote sensing offers a powerful tool for monitoring the growth of short, dense vegetation such as soybeans. …”
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Controlling Cable Driven Parallel Robots Operations—Deep Reinforcement Learning Approach by Muhammad Kamran Joyo, Abdulmajeed M. Alenezi, Wenfu Xu, Mohamad A. Alawad, Muhmmad Tayyab Yaqoob, Noor Maricar, Sheroz Khan

“…Deep Reinforcement Learning (DRL) is a powerful approach for generating control strategies for a variety of complex systems, representing an emerging paradigm in control applications. …”
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SumGPT: A Multimodal Framework for Radiology Report Summarization to Improve Clinical Performance by Tipu Sultan, Mohammad Abu Tareq Rony, Mohammad Shariful Islam, Samah Alshathri, Walid El-Shafai

“…In this study, we propose a novel model, SumGPT, which integrates T5 with a Vision Transformer to harness the power of transformer-based architectures for enhanced radiology report summarization. …”
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Identification of the key material degradation mechanisms affecting silicon solar cells: Systematic literature review by Eshetu Tadesse Ymer, Hirpa Gelgele Lemu, Mesay Alemu Tolcha

“…Environmental elements are identified as major contributors to power output degradation, with observed annual losses ranging from 1.8% to 2% in hot-humid regions, notably higher than the approximately 0.3% reported in temperate zones. …”
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Cognitive-Discursive Study of Migration Discourse (Based on English-Language Media Texts) by N. V. Stepanova

“…The migration discourse studied is explicitly related to politics, to issues of power and influence. …”
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Investigation of Relationship between the Surface Roughness and Residual Stress on Pearlitic Ductile Iron Face Machined by Olutosin Olufisayo Ilori, Gbemileke Akin Ogunranti, Toyese Friday Oyewusi, Opeoluwa Damilola Sola-Adeoye, Oluwaseun Adekola Fadare, Funmilayo Florence Adeyemi

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Adaptive Defense: Zero-Day Attack Detection in NIDS With Deep Reinforcement Learning by Khorshed Alam, Md Fahad Monir, Md Junayed Hossain, Mohammad Shorif Uddin, Md. Tarek Habib

“…Zero-Day attack detection in Network Intrusion Detection Systems (NIDS) refers to the ability to identify previously unseen attack patterns during testing without having been explicitly trained on those specific attacks, utilizing learned features from other known attacks. …”
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Predictive modeling for the adsorptive and photocatalytic removal of phenolic contaminants from water using artificial neural networks by Shahzar Hafeez, Ayesha Ishaq, Azeem Intisar, Tariq Mahmood, Muhammad Imran Din, Ejaz Ahmed, Muhammad Rizwan Tariq, Muhammad Amin Abid

“…This study overviews their employment and application for optimization and modeling of removal processes and explicitly discusses the important input and output parameters necessary for better performance of the system. …”
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The effect of instability resistance training on balance ability among athletes: a systematic review by Jianxin Gao, Xinxin Fu, Hang Xu, Qi Guo, Xiaopeng Wang

“…However, there is a lack of systematic reviews explicitly evaluating IRT’s impact on athletes’ balance ability. …”
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ScITree: Scalable Bayesian inference of transmission tree from epidemiological and genomic data. by Hannah Waddel, Katia Koelle, Max S Y Lau

“…Phylodynamic models capture joint epidemiological-evolutionary dynamics during an outbreak, providing a powerful tool to enhance understanding and management of disease transmission. …”
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Antecedent Effect Models as an Exploratory Tool to Link Climate Drivers to Herbaceous Perennial Population Dynamics Data by Aldo Compagnoni, Dylan Childs, Tiffany M. Knight, Roberto Salguero‐Gómez

“…ABSTRACT Understanding mechanisms and predicting natural population responses to climate is a key goal of Ecology. However, studies explicitly linking climate to population dynamics remain limited. …”
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Deep neural networks for endemic measles dynamics: Comparative analysis and integration with mechanistic models. by Wyatt G Madden, Wei Jin, Benjamin Lopman, Andreas Zufle, Benjamin Dalziel, C Jessica E Metcalf, Bryan T Grenfell, Max S Y Lau

“…Specifically, we investigate how the TSIR can be utilized to improve a state-of-the-art approach known as Physics-Informed-Neural-Networks (PINN) which explicitly combines compartmental models and neural networks. …”
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Optimizing energy and load management in island microgrids for enhancing resilience against resource interruptions by Majid Hosseina, Mahmoud Samiei Moghaddam, Amir Hassannia

“…In this paper, we propose a novel resilience-oriented energy and load management framework for island microgrids, integrating a multi-objective optimization function that explicitly minimizes load curtailment, energy losses, voltage deviations, emissions, and energy procurement costs while maximizing the utilization of renewable energy sources. …”
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Relational practices for meaningful inclusion in health research: Results of a deliberative dialogue study by Katrina Plamondon, Davina Banner, Miranda A. Cary, Melissa Faulkner, Heather Gainforth, Kiranpreet Ghag, Alison Hoens, Anne Huisken, Damanpreet K. Kandola, Shaheer Khan, Aline Silveira Silva, Nelly Oelke, Ashmita Rai, Kimberly Strain, Kathryn M. Sibley, Ursula Wick

“…In research explicitly interested in doing research with those most affected by the issue or outcomes, research teams need to know how to advance meaningful inclusion. …”
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A Multi-Constraint Co-Optimization LQG Frequency Steering Method for LEO Satellite Oscillators by Dongdong Wang, Wenhe Liao, Bin Liu, Qianghua Yu

“…However, subject to stringent size, power, and cost constraints, LEO satellites are typically equipped with oven-controlled crystal oscillators (OCXOs) as the system clock. …”
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ResTreeNet: A Height-Aware LiDAR Tree Classification Model With Explainable AI for Forestry Applications by Asrat Kaleab Taye, Jeong-Mook Park, Hyung-Ju Cho, Jin-Taek Kang, Yeon-Ok Seo

“…To address these critical limitations, we propose ResTreeNet, an efficient and lightweight deep learning model designed explicitly for tree classification using terrestrial LiDAR point clouds. …”
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When politics meets policy: a realist review of how political context shapes the impact of public health legal interventions by Yuri Lee, Jiwon Park

“…BackgroundPublic health laws—whether focusing on taxation, bans, mandates, or licensing—are powerful tools for reducing risk behaviors and improving population health. …”
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A meta-analysis of genome-wide association scans identifies IL18RAP, PTPN2, TAGAP, and PUS10 as shared risk loci for Crohn's disease and celiac disease. by Eleonora A M Festen, Philippe Goyette, Todd Green, Gabrielle Boucher, Claudine Beauchamp, Gosia Trynka, Patrick C Dubois, Caroline Lagacé, Pieter C F Stokkers, Daan W Hommes, Donatella Barisani, Orazio Palmieri, Vito Annese, David A van Heel, Rinse K Weersma, Mark J Daly, Cisca Wijmenga, John D Rioux

“…The aim of our study was to explicitly identify shared risk loci for these diseases by combining results from genome-wide association study (GWAS) datasets of CD and CelD. …”
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A systematic review of theories, models and frameworks used for youth engagement in health research by Sherald Sanchez, Rachel Thorburn, Marika Rea, Pamela Kaufman, Robert Schwartz, Peter Selby, Michael Chaiton

“…We identified theories that were explicitly stated and surfaced theories that were more implicitly suggested. …”
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