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Van Le

As seen in: Nature, Wiley Online Library, Journal of Automated Methods and Management in Chemistry, ScienceDirect, Frontiers, Frontiers in Immunology, Journal of Manufacturing and Materials Processing, MDPI, Taylor & Francis Online, ZDNet and

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Articles

Lightweight Machine Learning for Oyster-Reef Environmental Forecasting: A Random-Forest Baseline with Classical and Deep Benchmarks

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By Van Le, Vân Anh Lê, Văn Nhung Lê, Ransford Antwi, Tan D. Le, Tấn Thành Lê
| preprints.org
You are already at the latest version Short-term forecasting of coastal environmental conditions is critical for supporting oyster-reef management, early detection of stress events, and informed decision-making in dynamic estuarine systems. While deep learning models have gained traction in environmental prediction, lightweight machine learning approaches remain compelling due to their low computational cost, robustness to noisy sensor data, and interpretability.
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Open Minor Hepatectomy with Takasaki’s Glissonean Pedicle Control for Hepatocellular Carcinoma: A Vietnamese Cohort Study

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By Van Quang Vu, Van Le, Van Ho
| preprints.org
You are already at the latest version Surgical resection remains a curative-intent treatment for hepatocellular carcinoma, but procedure-specific evidence for open minor hepatectomy using Takasaki’s Glissonean pedicle control remains limited.
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Circular economy in action: transforming spent alkaline batteries into ZnO-based photocatalysts for water purification

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By Huỳnh Hiếu, Van Le, Vy Tran
| Taylor & Francis Online
ABSTRACT The rapid accumulation of spent alkaline batteries poses a pressing environmental challenge due to their hazardous components. In response, this study introduces a sustainable upcycling strategy that transforms battery-derived manganese and zinc oxides into high-efficiency photocatalytic materials.
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