Publications by authors named "Ruiqi Xin"

Metal-organic frameworks (MOFs) are widely used in environmental remediation due to their unique properties. However, their practical applications are significantly limited by its powder crystal form. To address these limitations, MOFs can be integrated with abundant and sustainable biomass-derived nanocellulose (NC) to construct processable macroscopic architectures.

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Formaldehyde is a common indoor organic pollutant and primarily emitted from materials such as artificial panels and wall coatings, posing significant risks to human health. Therefore, it is of practical significance to develop novel materials for efficient removal of indoor formaldehyde. Prussian blue analogs (PBA), which possess desirable properties such as high tunability, multifunctionality, large specific surface area, and environmental friendliness, show great potential in formaldehyde removal applications.

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Global warming is a crisis that humanity must face together. With greenhouse gases (GHGs) as the main factor causing global warming, the adoption of relevant processes to eliminate them is essential. With the advantages of high specific surface area, large pore volume, and tunable synthesis, metal-organic frameworks (MOFs) have attracted much attention in GHG storage, adsorption, separation, and catalysis.

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Deep mutational scanning (DMS) measures the effects of thousands of genetic variants in a protein simultaneously. The small sample size renders classical statistical methods ineffective. For example, p-values cannot be correctly calibrated when treating variants independently.

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In primates, high-acuity vision is mediated by the fovea, a small specialized central region of the retina. The fovea, unique to the anthropoid lineage among mammals, undergoes notable neuronal morphological changes during postnatal maturation. However, the extent of cellular similarity across anthropoid foveas and the molecular underpinnings of foveal maturation remain unclear.

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Unlabelled: In primates, high-acuity vision is mediated by the fovea, a small specialized central region of the retina. The fovea, unique to the anthropoid lineage among mammals, undergoes notable neuronal morphological changes during postnatal maturation. However, the extent of cellular similarity across anthropoid foveas and the molecular underpinnings of foveal maturation remain unclear.

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Post-translational modifications (PTMs) serve as key regulatory mechanisms in various cellular processes; altered PTMs can potentially lead to human diseases. We present a protocol for using MIND-S (multi-label interpretable deep-learning approach for PTM prediction-structure version), to study PTMs. This protocol consists of step-by-step guide and includes three key applications of MIND-S: PTM predictions based on protein sequences, important amino acids identification, and elucidation of altered PTM landscape resulting from molecular mutations.

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