Wuhan University

About: Wuhan University is a education organization based out in Wuhan, China. It is known for research contribution in the topics: Population & Feature extraction. The organization has 92849 authors who have published 92882 publications receiving 1691049 citations. The organization is also known as: WHU & Wuhan College.

Vacancy-Rich Monolayer BiO2−x as a Highly Efficient UV, Visible, and Near-Infrared Responsive Photocatalyst

Abstract: Vacancy-rich layered materials with good electron transfer property are of great interesting. Herein, full spectrum responsive vacancy-rich monolayer BiO2-x has been synthesized. The increased density of states at the conduction band (CB) minimum in the monolayer BiO2-x are responsible for the enhanced photon responsibility and photo-absorption, which was confirmed by UV-vis-NIR diffuse reflectance spectra (DRS) and photocurrent measurements. Compared to bulk BiO2-x, monolayer BiO2-x exhibited enhanced photocatalytic performance for rhodamine B and phenol removal under UV, visible and near-infrared light (NIR) irradiation attributed to the vacancy associates VBi-O‴ as confirmed by the positron annihilation spectra. The presence of VBi-O‴ defects in monolayer BiO2-x promoted the separation of electrons and holes. This finding provides an atomic level understanding for developing highly efficient ultraviolet (UV), visible and NIR light responsive photocatalysts.

Resequencing of 243 diploid cotton accessions based on an updated A genome identifies the genetic basis of key agronomic traits.

Abstract: The ancestors of Gossypium arboreum and Gossypium herbaceum provided the A subgenome for the modern cultivated allotetraploid cotton. Here, we upgraded the G. arboreum genome assembly by integrating different technologies. We resequenced 243 G. arboreum and G. herbaceum accessions to generate a map of genome variations and found that they are equally diverged from Gossypium raimondii. Independent analysis suggested that Chinese G. arboreum originated in South China and was subsequently introduced to the Yangtze and Yellow River regions. Most accessions with domestication-related traits experienced geographic isolation. Genome-wide association study (GWAS) identified 98 significant peak associations for 11 agronomically important traits in G. arboreum. A nonsynonymous substitution (cysteine-to-arginine substitution) of GaKASIII seems to confer substantial fatty acid composition (C16:0 and C16:1) changes in cotton seeds. Resistance to fusarium wilt disease is associated with activation of GaGSTF9 expression. Our work represents a major step toward understanding the evolution of the A genome of cotton.

A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis.

Abstract: Confounding variation, such as batch effects, are a pervasive issue in single-cell RNA sequencing experiments. While methods exist for aligning cells across batches, it is yet unclear how to correct for other types of confounding variation which may be observed at the subject level, such as age and sex, and at the cell level, such as library size and other measures of cell quality. On the specific problem of batch alignment, many questions still persist despite recent advances: Existing methods can effectively align batches in low-dimensional representations of cells, yet their effectiveness in aligning the original gene expression matrices is unclear. Nor is it clear how batch correction can be performed alongside data denoising, the former treating technical biases due to experimental stratification while the latter treating technical variation due inherently to the random sampling that occurs during library construction and sequencing. Here, we propose SAVERCAT, a method for dimension reduction and denoising of single-cell gene expression data that can flexibly adjust for arbitrary observed covariates. We benchmark SAVERCAT against existing single-cell batch correction methods and show that while it matches the best of the field in low-dimensional cell alignment, it significantly improves upon existing methods on the task of batch correction in the high-dimensional expression matrix. We also demonstrate the ability of SAVERCAT to effectively integrate batch correction and denoising through a data down-sampling experiment. Finally, we apply SAVERCAT to a single cell study of Alzheimer’s disease where batch is confounded with the contrast of interest, and demonstrate how adjusting for covariates other than batch allows for more interpretable analysis.

Morphology-dependent photocatalytic H2-production activity of CdS

Abstract: Various morphologies of CdS photocatalysts, including nanoparticles, nanorods, urchin-like shape and nanowires were prepared via a solvothermal process by tailoring the solvent. Based on both experimental and theoretical simulation investigation, the microstructure evolution mechanism was specified. Visible-light-driven photocatalytic activities for hydrogen production over the different CdS products were compared and rationalized. CdS nanowires prepared with the utilization of tetraethylenepentamine (TEPA) as solvent and l -cysteine as sulfur precursor displayed excellent photocatalytic H2-production activity of 803 μmol h−1 with quantum efficiency (QE) of 37.7% at 420 nm. The enhanced photocatalytic activity was ascribed to the high purity, good crystallinity, and unique microstructure and band structure, which was favorable for transfer of photogenerated carriers and thus reduced the recombination of electron–hole pairs. This work showed that the nature of solvent had significant influence on the photocatalytic H2-production activity of CdS, which adds knowledge on designing photocatalysts for visible-light-driven photocatalytic hydrogen evolution.

Visible light-assisted heterogeneous Fenton with ZnFe2O4 for the degradation of Orange II in water

Abstract: In this study, a visible (Vis) light response photocatalyst was synthesized via a simple reduction–oxidation method. The structure, morphology and optical properties of the catalyst were well characterized. The absorption capability of ZnFe 2 O 4 in visible-light region was demonstrated by the high rate of Orange II decolorization under Vis/ZnFe 2 O 4 /H 2 O 2 process. Guided by studies to explore the effects of radical scavengers and to quantify the yield of hydroxyl radical ( OH) production, OH on the surface of the catalyst was found to be the dominating reactive species for the Orange II removal. Moreover, ZnFe 2 O 4 maintained high activity, crystallinity and extremely low iron and zinc leaching during repeated experiments. The intermediate products were identified by GC–MS and a possible pathway is accordingly proposed to elucidate the mechanism of Orange II degradation by OH. In addition, high extent of mineralization was obtained as the chemical oxygen demand (COD) and total organic carbon (TOC) removal efficiencies were 86.6% and 60.4%, respectively, within 60 min reaction. The toxicity tests with activated sludge indicated that the toxicity of the solution increased during the first 30 min but then decreased significantly as the oxidation proceeded.