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Generative AI/LLMs for Plain Language Medical Information for Patients, Caregivers and General Public: Opportunities, Risks and Ethics
Published 2025-07-01“…Uptake of these technologies will also need education and awareness among non-specialist audiences around their optimal use as sources of plain language medical information.Plain language summary: More and more people are using special computer programs called artificial intelligence (AI) or large language models (LLMs) to find and get medical facts in simple words they can understand. …”
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14383
Performance Analysis of RIS-Assisted RF-Based Detection of Unauthorized UAVs
Published 2025-01-01Get full text
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14384
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14385
Effect of Near-Field Diffraction in Photolithography of Hexagonal Arrays for Dichroic Filters
Published 2016-01-01Get full text
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14386
2D Lidar-Based SLAM and Path Planning for Indoor Rescue Using Mobile Robots
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14387
A Knowledge-Enhanced Object Detection for Sustainable Agriculture
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14388
Using Hybrid Artificial Intelligence Approaches to Predict the Fracture Energy of Concrete Beams
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14389
Mitigating commutation failures in HVDC systems with SFCL deployment
Published 2024-02-01Get full text
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14390
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Exploring the Potential of Phytocannabinoids Against Multidrug-Resistant Bacteria
Published 2025-06-01“…To investigate the possible molecular targets and clarify the mechanism of action, we employed Inverse Virtual Screening (IVS), a computational approach optimized for predicting potential protein–ligand interactions, on three selected MDR bacterial species. …”
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Enzyme promiscuity shapes adaptation to novel growth substrates
Published 2019-04-01Get full text
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14394
A Novel Harmony Search Algorithm Based on Teaching-Learning Strategies for 0-1 Knapsack Problems
Published 2014-01-01Get full text
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14395
Explainable post hoc portfolio management financial policy of a Deep Reinforcement Learning agent.
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14396
Healthy Air for Children
Published 2025-02-01“… In response to the WHO and UN’s call to ensure children’s right to breathe “clean” air and the challenges posed by the COVID-19 pandemic on maintaining healthy indoor air quality (IAQ), this PhD research explores ventilation and air cleaning strategies to control the spread of infectious respiratory particles (IRPs) in school classrooms. The study follows four key steps: (1) a literature review bridging school ventilation regimes, IRP transmission, and advanced ventilation systems; (2) a field study to evaluate real-world ventilation and thermal conditions during the pandemic; (3) an experimental investigation of performance of mobile air cleaners (MACs) followed by an in-situ validation; and (4) a combined experimental and computational study to assess personalized air cleaners (PACs) as localized exhaust for IRP removal. …”
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14397
PhotoD with LSST: Stellar Photometric Distances Out to the Edge of the Galaxy
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14398
A Novel Multi-Task Learning-Based Approach to Multi-Energy System Load Forecasting
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14399
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A Hybrid Large Language Model for Context-Aware Document Ranking in Telecommunication Data
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