Nature of the Positron State in CdSe Quantum Dots.

Previous studies have shown that positron-annihilation spectroscopy is a highly sensitive probe of the electronic structure and surface composition of ligand-capped semiconductor quantum dots (QDs) embedded in thin films. The nature of the associated positron state, however, whether the positron is confined inside the QDs or localized at their surfaces, has so far remained unresolved. Our positron-annihilation lifetime spectroscopy studies of CdSe QDs reveal the presence of a strong lifetime component in the narrow range of 358-371 ps, indicating abundant trapping and annihilation of positrons at the surfaces of the QDs. Furthermore, our ab initio calculations of the positron wave function and lifetime employing a recent formulation of the weighted density approximation demonstrate the presence of a positron surface state and predict positron lifetimes close to experimental values. Our study thus resolves the long-standing question regarding the nature of the positron state in semiconductor QDs and opens the way to extract quantitative information on surface composition and ligand-surface interactions of colloidal semiconductor QDs through highly sensitive positron-annihilation techniques.

Structural characterization and anti-inflammatory activity of a novel neutral polysaccharide isolated from Smilax glabra Roxb.

Crude polysaccharides isolated from Smilax glabra were screened for anti-inflammatory activity using mice ear swelling animal experiments, during which the neutral polysaccharide S1 was identified. The structural characteristics and anti-inflammatory effects of the anti-inflammatory S1 polysaccharide were then investigated. The results showed that S1 was mainly composed of rhamnose, arabinose, galactose, glucose, xylose, and mannose. The structure of the main chain consisted of →6)-α-Galp-(1 â†’ 6)-ß-Galp-(1 â†’ 4)-α-Xylp-(1 â†’ 6)-ß-Galp-(1→, with branched chains comprising α-Araf-(1 â†’ 4)-α â†’ Manp-(1 â†’ and ß-Rhap-(1 â†’ 4)-α-Glcp-(1 â†’ units. Furthermore, S1 did not have a triple helix conformation. S1 could inhibit NO secretion, reduce the levels of pro-inflammatory factors (IL-6 and TNF-α), and significantly reduce LPS-stimulated inflammatory damage in RAW 264.7 cells by inhibiting activation of the NF-κB (p65) pathway. These results shed light on the possibility of S1 to be developed as a novel anti-inflammatory drug for therapeutic purposes.

Astilbin from Smilax glabra Roxb. alleviates high-fat diet-induced metabolic dysfunction.

Overweight, obesity, and related diseases are currently the major public health problems worldwide. Astilbin, extracted from the rhizome of Smilax glabra Roxb., is known to have significant anti-inflammatory activity and hepatoprotective effect. Studies have shown that it can inhibit adipogenesis in adipocytes in vitro; however, the intervention benefits of astilbin against obesity and related diseases along with its associated mechanisms remain unknown. This study aimed to demonstrate the impact of astilbin consumption on the overall biochemical pattern of high-fat diet (HFD) mice by using a combined multi-omics approach. Our data indicated that astilbin reduced body weight, insulin resistance, and inflammation in mice fed an HFD. Astilbin improved HFD-induced gut microbial dysbiosis by decreasing the Firmicutes-to-Bacteroidetes ratio, by increasing beneficial bacteria such as Alistipes and Muribaculum and decreasing harmful bacteria including Lachnospiraceae FCS020 group, Coriobacteriaceae UCG-002, and Lachnospiraceae UCG-008, resulting in enhanced intestinal carbohydrate and lipid metabolism. Meanwhile, astilbin protected the integrity of the intestinal barrier in HFD mice, increased short-chain fatty acid levels, and reduced metabolic endotoxemia. We further showed that astilbin attenuated hepatic lipid droplet aggregation and triglyceride accumulation in HFD mice, affected glutamate metabolism-related pathways, and enhanced hepatic ATP transduction pathways and attenuated xanthine metabolism pathways in mice, which were positively correlated with the abundance of Alistipes and negatively correlated with Ruminococcaceae UCG-003. The results highlighted that astilbin could be used as a prebiotic for the prevention of "gut-liver axis" damage and metabolic disruption in obese individuals.

The joint return period analysis of natural disasters based on monitoring and statistical modeling of multidimensional hazard factors.

As a random event, a natural disaster has the complex occurrence mechanism. The comprehensive analysis of multiple hazard factors is important in disaster risk assessment. In order to improve the accuracy of risk analysis and forecasting, the formation mechanism of a disaster should be considered in the analysis and calculation of multi-factors. Based on the consideration of the importance and deficiencies of multivariate analysis of dust storm disasters, 91 severe dust storm disasters in Inner Mongolia from 1990 to 2013 were selected as study cases in the paper. Main hazard factors from 500-hPa atmospheric circulation system, near-surface meteorological system, and underlying surface conditions were selected to simulate and calculate the multidimensional joint return periods. After comparing the simulation results with actual dust storm events in 54years, we found that the two-dimensional Frank Copula function showed the better fitting results at the lower tail of hazard factors and that three-dimensional Frank Copula function displayed the better fitting results at the middle and upper tails of hazard factors. However, for dust storm disasters with the short return period, three-dimensional joint return period simulation shows no obvious advantage. If the return period is longer than 10years, it shows significant advantages in extreme value fitting. Therefore, we suggest the multivariate analysis method may be adopted in forecasting and risk analysis of serious disasters with the longer return period, such as earthquake and tsunami. Furthermore, the exploration of this method laid the foundation for the prediction and warning of other nature disasters.

Analysis of expressed sequence tag data and gene expression profiles involved in conidial germination of Fusarium oxysporum.

We obtained 3,372 tentative unique transcripts (TUTs) from a cDNA library of Fusarium oxysporum. A cDNA array with 3,158 TUTs was produced to analyze gene expression profiles in conidial germination. It seems that ras and other signaling genes, e.g., ccg, cooperatively initiate conidial germination in Fusarium by increasing protein synthesis.