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Articles by Jia Le
Structure-Guided Engineering of Xylitol 4-dehydrogenase Unlocks Efficient L-Xylulose Biosynthesis: Mechanistic Insights into Catalytic Enhancement
L-Xylulose, a potent α-glucosidase inhibitor and indispensable chiral precursor for L-nucleoside drugs, is highly valuable. However, chemical synthesis often suffers from poor atom economy and tedious protection and deprotection steps of functional groups. Here, a green biocatalytic route was explored by retrieving five XDH4 genes and selecting AYXDH4 as the best candidate.
Healthcare utilisation patterns for paediatric functional somatic symptom presentation: a 3-year retrospective analysis
Background Children and young persons frequently present to Emergency Departments (EDs) with physical symptoms lacking a clear medical cause, often reflecting underlying psychosocial distress. Such presentations are associated with repeated healthcare use, specialist referrals, and avoidable costs, yet longitudinal evidence on healthcare trajectories and cost patterns across care settings remains limited, particularly in Asian contexts.
[2506.03373] A Foundation Model for Spatial Proteomics
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1 × 2 Graphene Surface Plasmon Waveguide Beam Splitter Based on Self-Imaging
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RepoQA: Evaluating Long Context Code Understanding
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Fuzz4All: Universal Fuzzing with Large Language Models
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition
arXiv:2306.09626 (cs) Download a PDF of the paper titled PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition, by Jia Le Ngwe and 3 other authors Download PDF Submission history From: Kian Ming Lim [ view email] [v1] Fri, 16 Jun 2023 04:51:18 UTC (6,728 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code,...
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