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    The Influence of Artificial Intelligence Tools on Learning Outcomes in Computer Programming: A Systematic Review and Meta-Analysis by Manal Alanazi, Ben Soh, Halima Samra, Alice Li

    Published 2025-05-01
    “…This systematic review and meta-analysis investigates the impact of artificial intelligence (AI) tools, including ChatGPT 3.5 and GitHub Copilot, on learning outcomes in computer programming courses. …”
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    Comparative Analysis of CO<sub>2</sub> Adsorption Performance of Bamboo and Orange Peel Biochars by Choul Woong Kwon, Sungho Tae, Soumen Mandal

    Published 2025-04-01
    “…The CO<sub>2</sub> adsorption isotherm shows a higher adsorption capacity (22.83 cm<sup>3</sup>/g) in OPB than BB (14.12 cm<sup>3</sup>/g) at 273 K and 1 bar. …”
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    Enhancing skin lesion classification: a CNN approach with human baseline comparison by Deep Ajabani, Zaffar Ahmed Shaikh, Amr Yousef, Karar Ali, Marwan A. Albahar

    Published 2025-04-01
    “…A CNN model utilizing the EfficientNetB3 backbone is trained on datasets from the ISIC-2019 and ISIC-2020 SIIM-ISIC melanoma classification challenges and evaluated on a 150-image test set. …”
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    Influence of Nucleating Agents on the Crystallization, Thermal, and Mechanical Properties of Poly(3-hydroxybutyrate-<i>co</i>-3-hydroxyhexanoate) (P3HBHHx) by Anyi Jin, Germán Pérez, Luis J. del Valle, Jordi Puiggalí

    Published 2025-05-01
    “…Overall, BN emerged as the most effective nucleating agent for enhancing the P3HBHHx crystallization kinetics, providing a promising strategy for improving processing efficiency and reducing the cycle times in industrial applications.…”
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    Enhancing Gait Analysis for Parkinson&#x2019;s Disease Detection and Severity Staging With a Parallel Conv1D-Efficient Transformer and Bidirectional GRU Hybrid Architecture by Xiaoli Huan, Hong Zhou, Byungkwan Jung, Long Ma

    Published 2025-01-01
    “…Designed to balance computational efficiency and scalability, the model demonstrates state-of-the-art performance, achieving 95.7% accuracy in PD detection and 87.3% accuracy in severity staging on the PhysioNet gait dataset. …”
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    Driving Pattern Analysis, Gear Shift Classification, and Fuel Efficiency in Light-Duty Vehicles: A Machine Learning Approach Using GPS and OBD II PID Signals by Juan José Molina-Campoverde, Juan Zurita-Jara, Paúl Molina-Campoverde

    Published 2025-06-01
    “…The proposed approach is based on the analysis of identification parameters (PIDs), such as manifold absolute pressure (MAP), revolutions per minute (RPM), vehicle speed (VSS), torque, power, stall times, and longitudinal dynamics, to determine the efficiency and behavior of the vehicle in each of its gears. …”
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