Publications by authors named "Xiaoru Xie"

Alzheimer's disease is characterized by progressive amyloid deposition and cognitive decline, yet the pathological mechanisms and treatments remain elusive. Here we report the therapeutic potential of low-intensity 40 hertz blue light exposure in a 5xFAD mouse model of Alzheimer's disease. Our findings reveal that light treatment prevents memory decline in 4-month-old 5xFAD mice and motivation loss in 14-month-old 5xFAD mice, accompanied by restoration of glial water channel aquaporin-4 polarity, improved brain drainage efficiency, and a reduction in hippocampal lipid accumulation.

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Lignin serves as an ideal substrate for the synthesis of chemically functionalized hyper-cross-linked resins due to the structural composition of its aromatic rings, aliphatic side chains, and multiple active functional groups. These resins have shown to be highly effective in the adsorption of aromatic compounds. In this study, hyper-cross-linked polymer (HCPs-3), synthesized using 1,3,5-triphenyl and lignin, demonstrated a significant adsorption capacity for aniline, with a maximum adsorption capacity (q) of 189.

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  • The study addresses the need for new wound dressings that prevent bacterial infection and promote healing in damaged skin.
  • Researchers developed a curcumin-loaded nanocomposite hydrogel dressing that combines modified gelatin and curcumin nanoparticles, which enhances mechanical strength and releases curcumin gradually to fight bacteria.
  • In animal tests, this hydrogel significantly improved wound healing and tissue regeneration compared to standard treatments while showing good safety profiles.
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Memristor crossbar arrays are a promising platform for neuromorphic computing. In practical scenarios, the synapse weights represented by the memristors for the underlying system are subject to process variations, in which the programmed weight when read out for inference is no longer deterministic but a stochastic distribution. It is therefore highly desired to learn the weight distribution accounting for process variations, to ensure the same inference performance in memristor crossbar arrays as the design value.

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  • A new layer-wise fine-grained sparse neural network algorithm has gained attention for lowering computational demands while maintaining accuracy.
  • This work focuses on creating an efficient hardware accelerator specifically for sparse convolutional neural networks (CNNs) with unique architectures optimized for varying sparse patterns.
  • Implemented on Xilinx FPGAs and tested with well-known CNNs, the new design shows improved power efficiency compared to existing accelerators for both structured and unstructured networks.
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Objectives: This research aims to explore the factors motivate consumers to eat game meat during a multi-state disease outbreak.

Methods: It proposes a segmentation of consumers based on their attitudes toward and reveals the consumers' food beliefs that motivate their actions. Three segments of game meat consumers were identified: identity seekers, health seekers, and taste seekers.

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In December 2019, a novel laboratory-confirmed coronavirus (2019-nCoV) infection, which has caused clusters of severe illnesses, was first reported in Wuhan, the capital of Hubei province, China. This foodborne illness, which reportedly most likely originated in a seafood market where wild animals are sold illegally, has transmitted among humans through close contact, across the world. The aim of this study is to explore health/risk perceptions of and attitudes toward healthy/risky food in the immediate context of food crisis.

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