Publications by authors named "Junguang Xu"

Article Synopsis
  • * This study utilized zebrafish embryos and deep learning to identify psychoactive compounds in water, yielding promising results with the ResNet101 model achieving a 65.35% accuracy for behavioral classification.
  • * The research indicates that combining behavioral analysis with AI can provide a cost-effective and eco-friendly alternative for monitoring water quality, enhancing current pollution detection methods.
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Background: Cardiovascular diseases are the most common cause of death globally. In which atrioventricular block (AVB) is a common disorder with genetic causes, but the responsible genes have not been fully identified yet. To determine the underlying causative genes involved in cardiac AVB, here we report a three-generation Chinese family with severe autosomal dominant cardiac AVB that has been ruled out as being caused by known genes mutations.

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Synthetic biology involves reprogramming and engineering of regulatory genes in innovative ways for the implementation of novel tasks. Transcriptional gene regulation systems induced by small molecules in prokaryotes provide a rich source for logic gates. Cross-regulation, whereby a promoter is activated by different molecules or different promoters are activated by one molecule, can be used to design an OR-gate and achieve cross-talk between gene networks in cells.

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