Publications by authors named "Ying-Ao Liu"

Article Synopsis
  • Light-driven oxidative coupling of methane (OCM) has potential for producing valuable multi-carbon chemicals but faces challenges due to low activity.
  • The study combines bismuth oxide (BiO) and gold (Au) on titanium dioxide (TiO) to enhance conversion rates, selectivity, and durability in photocatalytic OCM through improved catalytic design.
  • The hybrid catalyst achieves a high conversion rate of 20.8 millimoles per gram per hour and 97% selectivity for C products, with the lattice oxygen in BiO playing a key role in the reaction stability via the Mars-van Krevelen mechanism.
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The diagnosis of solid pseudopapillary neoplasm of the pancreas (SPN) can be challenging due to potential confusion with other pancreatic neoplasms, particularly pancreatic neuroendocrine tumors (NETs), using current pathological diagnostic markers. We conducted a comprehensive analysis of bulk RNA sequencing data from SPNs, NETs, and normal pancreas, followed by experimental validation. This analysis revealed an increased accumulation of peroxisomes in SPNs.

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The meticulous design of active sites and light absorbers holds the key to the development of high-performance photothermal catalysts for CO hydrogenation. Here, we report a nonmetallic plasmonic catalyst of MoN/MoO-x nanosheets by integrating a localized surface plasmon resonance effect with two distinct types of active sites for CO hydrogenation. Leveraging the synergism of dual active sites, H and CO molecules can be simultaneously adsorbed and activated on N atom and O vacancy, respectively.

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Article Synopsis
  • Open international challenges are now the main way to evaluate algorithms for computer vision and image analysis, especially in pulmonary airway segmentation.
  • A new challenge, ATM'22, was organized to provide a large-scale dataset of 500 annotated CT scans to help improve algorithm performance in this area.
  • The results showed that deep learning models that enhanced topological continuity performed best, and the challenge offers an open-call design for accessing data and evaluations.
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