Publications by authors named "Pingji Deng"

Article Synopsis
  • Clusters represent a unique matter scale that is crucial for understanding how structure relates to function in materials, lying between single atoms and larger constructs.
  • The study examined 2D planar Au clusters (sizes 1-12) doped with magnesium and germanium, discovering significant structural behavior, including rapid 3D growth of GeMgAu isomers and the distinct interactions of Au with these dopants.
  • Findings aim to enhance knowledge of gold clusters and provide guidance on creating 3D structures through selective doping, highlighting the concepts of "affinity" and "alienation" between different atom types.
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Structure, stability, charge transfer, chemical bonding, and spectroscopic properties of Ga atom-doped neutral Mg (n = 2-12) clusters have been systematically investigated by CALYPSO and density functional theory. All cluster structures are based on "tetrahedral" and "yurt-like" growth except for GaMg. The ground state isomer of GaMg with high symmetry structure is predicted to be the best-fit candidate for the "magic" cluster because of its excellent stability.

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Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the causative agent of the coronavirus disease 2019 (COVID-19) pandemic. In this study, we conducted a comparative analysis of the structural genes of SARS-CoV-2 and other CoVs. We found that the sequence of the E gene was the most evolutionarily conserved across 200 SARS-CoV-2 isolates.

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Using CALYPSO crystal search software, the structural growth mechanism, relative stability, charge transfer, chemical bonding and optical properties of AuMg ( = 2-12) nanoclusters were extensively investigated based on DFT. The shape development uncovers two interesting properties of AuMg nanoclusters contrasted with other doped Mg-based clusters, in particular, the planar design of AuMg and the highly symmetrical cage-like of AuMg. The relative stability study shows that AuMg has the robust local stability, followed by AuMg.

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Objective: The aim of this study was to systematically and comprehensively evaluate the diagnostic and prognostic value of myocardial injury biomarkers in COVID-19 patients.

Methods: This is a retrospective cohort study of confirmed COVID-19 patients that were admitted to the Renmin Hospital of Wuhan University from January 30, 2020 to February 15, 2020.

Results: Receiver operating characteristic (ROC) curve analysis demonstrated that cTnI-ultra had the highest area under the curve (AUC) at 0.

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A novel coronavirus disease, designated as COVID-19, has become a pandemic worldwide. This study aims to estimate the incubation period and serial interval of COVID-19. We collected contact tracing data in a municipality in Hubei province during a full outbreak period.

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Using CALYPSO method to search new structures of neutral and anionic beryllium-doped magnesium clusters followed by density functional theory (DFT) calculations, an extensive study of the structures, electronic and spectral properties of Be Mg (Q = 0, -1; n = 2-11) clusters is performed. Based on the structural optimization, it is found that the Be Mg (Q = 0, -1) clusters are shown by tetrahedral-based geometries at n = 2-6 and tower-like-based geometries at n = 7-11. The calculations of stability indicate that Be Mg , Be Mg , and Be Mg clusters are "magic" clusters with high stability.

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By using CALYPSO searching method and Density Functional Theory (DFT) method at the B3LYP/6-311G (d) level of cluster method, a systematic study of the structures, stabilities, electronic and spectral properties of Si ( = 1-11; = 0, ±1) clusters of silicon-magnesium sensor material, is performed. According to the calculations, it was found that when > 4, most stable isomers in Si ( = 1-11; = 0, ±1) clusters of silicon-magnesium sensor material are three-dimensional structures. Interestingly, although large size Si clusters show cage-like structures, silicon atoms are not in the center of the cage, but tend to the edge.

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Coronary heart disease is a serious threat to human health. In China, medical care for the population has been focused on therapy with little follow-up of treated patients. The efficacy of therapy; however, is highly dependent on post-therapy recovery.

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Motivation: K-mers along with their frequency have served as an elementary building block for error correction, repeat detection, multiple sequence alignment, genome assembly, etc., attracting intensive studies in k-mer counting. However, the output of k-mer counters itself is large; very often, it is too large to fit into main memory, leading to highly narrowed usability.

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