Publications by authors named "H X Yan"

Mitochondrial function is essential for synaptic function. ATAD1, an AAA+ protease involved in mitochondrial quality control, governs fission-fusion dynamics within the organelle. However, the distribution and functional role of ATAD1 in neurons remain poorly understood.

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Amycolatopsis sp. BJA-103 was isolated for its exceptional feather-degradation capability, leading to the purification, cloning, and heterologous expression of the keratinase enzyme, KER0199. Sequence analysis places KER0199 within the S8 protease family, revealing <60 % sequence similarity to known proteases.

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Background: The ORIENT-15 double-blind randomized controlled trial demonstrated that the addition of sintilimab to chemotherapy for locally advanced or metastatic oesophageal squamous cell carcinoma (OSCC) resulted in better clinical outcomes. In this analysis, we sought to evaluate the cost-effectiveness of sintilimab as a first-line treatment for locally advanced or metastatic OSCC from a healthcare system perspective in China.

Methods: A partitioned survival model was constructed to perform a cost-effectiveness analysis comparing chemotherapy alone with sintilimab for locally advanced or metastatic OSCC patients.

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As an emerging two-dimensional (2D) Group-VA material, bismuth selenide (BiSe) exhibits favorable electrical and optical properties. Here, three distinct morphologies of BiSe were obtained from bulk BiSe through electrochemical intercalation exfoliation. And the morphologies of these nanostructures can be tuned by adjusting solvent polarity during exfoliation.

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Visual semantic decoding aims to extract perceived semantic information from the visual responses of the human brain and convert it into interpretable semantic labels. Although significant progress has been made in semantic decoding across individual visual cortices, studies on the semantic decoding of the ventral and dorsal cortical visual pathways remain limited. This study proposed a graph neural network (GNN)-based semantic decoding model on a natural scene dataset (NSD) to investigate the decoding differences between the dorsal and ventral pathways in process various parts of speech, including verbs, nouns, and adjectives.

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