Search Results - Yue Dong
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On-Chip Beam Splitting Strategies Based on SWG Assisted Directional Coupler for 850 nm Optical Coherence Tomography - A Numerical Study
Published 2021-01-01Get full textA subwavelength gratings (SWG) assisted directional coupler (DC) is proposed to work as beam splitter (BS) for 850 nm chip-based optical coherence tomography (OCT). The bandwidth of the SWG assisted DC is maximized to 110 nm by selecting appropriate SWG geometries including its duty cycle and period...
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Artificial Intelligence‐Based Approaches for AAV Vector Engineering
Published 2025-03-01Get full textAbstract Adeno‐associated virus (AAV) has emerged as a leading vector for gene therapy due to its broad host range, low pathogenicity, and ability to facilitate long‐term gene expression. However, AAV vectors face limitations, including immunogenicity and insufficient targeting specificity. To enhan...
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Development and validation of deep learning- and ensemble learning-based biological ages in the NHANES study
Published 2025-07-01Get full textIntroductionConventional machine learning (ML) approaches for constructing biological age (BA) have predominantly relied on blood-based markers, limiting their scope. This study aims to develop and validate novel ML-based BA models using a comprehensive set of clinical, behavioral, and socioeconomic...
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Hierarchical Icephobic Surfaces with Enhanced Photothermal Performance for Sustainable Anti‐Icing
Published 2025-07-01Get full textAbstract Icing remains a major challenge in industrial and environmental applications, leading to efficiency losses, safety hazards, and substantial economic impacts. Conventional deicing methods are energy‐intensive and environmentally unsustainable, often requiring high energy inputs, extensive op...
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Morpho-photometric Classification of KiDS DR5 Sources Based on Neural Networks: A Comprehensive Star–Quasar–Galaxy Catalog
Published 2025-01-01Get full textWe present a novel multimodal neural network (MNN) for classifying astronomical sources in multiband ground-based observations, from optical to near-infrared (NIR), to separate sources in stars, galaxies, and quasars. Our approach combines a convolutional neural network branch for learning morpholog...
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