Boosting C Alcohols Selectivity and Activity in High-Current CO Electroreduction using Synergistic Cu/Zn Co-Catalysts.

The electrosynthesis of multi-carbon (C) alcohols, specifically ethanol and n-propanol through CO electroreduction (CORR) in HO, presents a sustainable pathway for intermittent renewable energy storage and a low-carbon economy. However, achieving high selectivity for alcohol production at industrial current densities is kinetically hampered by side reactions such as ethylene generation and hydrogen evolution reaction, which result from competing adsorption of *CO and *H. In this study, we developed a Cu/Zn alloy catalyst to simultaneously enhance the activity and selectivity for alcohol production by increasing CO capture capacity and enriching active hydrogen on Cu sites.

Spontaneous exciton dissociation in organic photocatalyst under ambient conditions for highly efficient synthesis of hydrogen peroxide.

SignificanceHydrogen peroxide is a highly competitive ready-to-use product for solar energy transformation. Nevertheless, the contemporary photosynthetic systems are not efficient enough, due to severe charge recombination caused by high activation energy and binding energy of the exciton. Herein, we achieve spontaneous exciton dissociation at room temperature.

Identification of circRNA-miRNA-mRNA networks contributes to explore underlying pathogenesis and therapy strategy of gastric cancer.

Background: Circular RNAs (circRNAs) are a new class of noncoding RNAs that have gained increased attention in human tumor research. However, the identification and function of circRNAs are largely unknown in the context of gastric cancer (GC). This study aims to identify novel circRNAs and determine their action networks in GC.

Highly efficient photosynthesis of hydrogen peroxide in ambient conditions.

Photosynthesis of hydrogen peroxide (HO) in ambient conditions remains neither cost effective nor environmentally friendly enough because of the rapid charge recombination. Here, a photocatalytic rate of as high as 114 μmol⋅g⋅h for the production of HO in pure water and open air is achieved by using a Z-scheme heterojunction, which outperforms almost all reported photocatalysts under the same conditions. An extensive study at the atomic level demonstrates that Z-scheme electron transfer is realized by improving the photoresponse of the oxidation semiconductor under visible light, when the difference between the Fermi levels of the two constituent semiconductors is not sufficiently large.

Valence-dependent catalytic activities of iron terpyridine complexes for pollutant degradation.

Herein, iron-terpyridine complexes with the iron centers at different initial valence states were utilized as homogeneous catalysts for the degradation of phenol in water. The iron(iii)-terpyridine complex induced the formation of more high-valent iron-oxo centers and hydroxyl radicals than the iron(ii)-terpyridine complex, leading to a higher catalytic activity.

Functional role of lncRNA LOC101927497 in N-methyl-N'-nitro-N-nitrosoguanidine-induced malignantly transformed human gastric epithelial cells.

Aims: Evidence shows that aberrant expression of long non-coding RNA (lncRNA) is closely associated with tumor development and progression. However, the role of lncRNA in environmental carcinogen induced gastric tumorigenesis remains largely unknown. This study aimed at investigating the function role of lncRNA in N-methyl-N'-nitro-N-nitrosoguanidine (MNNG) induce malignantly transformed human gastric epithelial cells.

[Hematologic toxicity of Gynura segetum and effects on vascular endothelium in a rat model of hepatic veno-occlusive disease].

Objective: To observe the effects ofGynura segetum in rats with hepatic veno-occlusive disease (HVOD).

Methods: Sixty Sprague-Dawley rats were assigned to a blank control group, one of three Gynura segetum treatment groups (low-dose group, 5.0 g/kg; mid-dose group, 10 g/kg; high-dose group, 20 g/kg), or a pseudo-drug group (10 g/kg of pseudo-ginseng).

Automatic clustering of flow cytometry data with density-based merging.

The ability of flow cytometry to allow fast single cell interrogation of a large number of cells has made this technology ubiquitous and indispensable in the clinical and laboratory setting. A current limit to the potential of this technology is the lack of automated tools for analyzing the resulting data. We describe methodology and software to automatically identify cell populations in flow cytometry data.