High-Valence Mo Doping and Oxygen Vacancy Engineering to Promote Morphological Evolution and Oxygen Evolution Reaction Activity.

The rational design of high-efficiency, low-cost electrocatalysts for electrochemical water oxidation in alkaline media remains a huge challenge. Herein, combined strategies of metal doping and vacancy engineering are employed to develop unique Mo-doped cobalt oxide nanosheet arrays. The Mo dopants exist in the form of high-valence Mo, and the doping amount has a significant effect on the structure morphology, which transforms from 1D nanowires/nanobelts to 2D nanosheets and finally 3D nanoflowers.

A Deep Learning-Based Electromagnetic Signal for Earthquake Magnitude Prediction.

The influence of earthquake disasters on human social life is positively related to the magnitude and intensity of the earthquake, and effectively avoiding casualties and property losses can be attributed to the accurate prediction of earthquakes. In this study, an electromagnetic sensor is investigated to assess earthquakes in advance by collecting earthquake signals. At present, the mainstream earthquake magnitude prediction comprises two methods.

Study on nonlinear constitutive model of skin under compression load over a wide range of strain rates.

Purpose: In wound ballistics, skin has obvious blocking effect in the biological target penetration of projectiles. An analytical description of skin mechanical properties under compression can set the basis for the numerical simulation and the evaluation of blocking effect.

Methods: In this study, an improved three-parameter solid visco-elastic model was proposed to describe the skin creep phenomenon.

Achieving Universal Wearing of Face Masks During the COVID-19 Pandemic: A Practical Solution from Shanghai, China.

Background: Face masks are basic protective equipment for preventing respiratory infectious diseases. The measures to properly dispose of and allocate face masks during the early stage of an epidemic caused by respiratory infectious diseases deserve worldwide attention.

Methods: A qualitative research approach was used to document the practice of a citywide face mask-wearing strategy of the Shanghai Municipal Government (called the "Shanghai solution" in this article).

LncRNADisease 2.0: an updated database of long non-coding RNA-associated diseases.

Mounting evidence suggested that dysfunction of long non-coding RNAs (lncRNAs) is involved in a wide variety of diseases. A knowledgebase with systematic collection and curation of lncRNA-disease associations is critically important for further examining their underlying molecular mechanisms. In 2013, we presented the first release of LncRNADisease, representing a database for collection of experimental supported lncRNA-disease associations.

[Characteristics and Risks of Heavy Metals Content in Surface Sediment of Tidal Flat Areas in Eastern China].

To understand the heavy metals content such as As, Cd, Cr, Cu, Hg, Pb, and Zn, as well as their distribution features in surface sediments of tidal flat areas of Eastern China, mathematical statistics, correlation analysis, factor analysis and other statistical methods are used. This study collected 1906 surface sediment samples of As, Cd, Cr, Cu, Hg, Pb, Zn were collected as part of a systematic research effort. These results show that the coastal tidal flats zone of Eastern China contains surface sediment samples with heavy metal concentrations (As, Cd, Cr, Cu, Hg, Pb, and Zn) with is not high but has increased due to anthropogenic sources.

A potential prognostic lncRNA signature for predicting survival in patients with bladder urothelial carcinoma.

Increasing evidence has highlighted the critical roles of long non-coding RNA (lncRNA) in cancer development and progression. However, the prognostic power of expression-based lncRNA signature for predicting overall survival in patients with Bladder Urothelial Carcinoma (BLCA) has not been investigated. Here, we performed a comprehensive analysis for lncRNA expression profiles and corresponding clinical information of 234 BLCA patients from The Cancer Genome Atlas (TCGA).