Building Translation Memory System by N-gram

PACLIC 20 / Wuhan, China / 1-3 November, 200

Growth of single-walled carbon nanotubes from well-defined POSS nanoclusters structure

High-quality single-walled carbon nanotubes (SWNTs) with narrow diameter distribution can be generated from well-defined Si8O12 nanoclusters structure which form from thermal decomposition of chemically modified polyhedral oligomeric silsesquioxane (POSS). The nanosized SixOy particles were proved to be responsible for the SWNT growth and believed to be the reason for the narrow diameter distribution of the as-grown SWNTs. This could be extended to other POSS. The SWNTs grown from the nanosized SixOy particles were found to be semiconducting enriched SWNTs (s-SWNTs). A facile patterning technology, direct photolithography, was developed for generating SWNT pattern, which is compatible to industrial-level fabrication of SWNTs pattern for device applications. The metal-free growth together with preferential growth of s-SWNTs and patterning in large scale from the structure-defined silicon oxide nanoclusters not only represent a big step toward the control growth of SWNTs and fabrication of devices for applications particularly in nanoelectronics and biomedicine but also provide a system for further studying and understanding the growth mechanism of SWNTs from nanosized materials and the relationship between the structure of SWNT and nonmetal catalysts

Bis(4H-1,2,4-triazol-3-yl)disulfane

The title compound, C4H4N6S2, was synthesized by the reaction of 3-mercapto-1H-1,2,4-triazole with sodium hydrox­ide in ethanol. The mol­ecule possesses a crystallographically imposed twofold axis. Inter­molecular N—H⋯N hydrogen bonds link the mol­ecules into chains along the c axis

Band Structure, Phonon Scattering and the Ultimate Performance of Single-Walled Carbon Nanotube Transistors

Semiconducting single-walled carbon nanotubes are studied in the diffusive transport regime. The peak mobility is found to scale with the square of the nanotube diameter and inversely with temperature. The maximum conductance, corrected for the contacts, is linear in the diameter and inverse temperature. These results are in good agreement with theoretical predictions for acoustic phonon scattering in combination with the unusual band structure of nanotubes. These measurements set the upper bound for the performance of nanotube transistors operating in the diffusive regime

Boron Nitride Nanosheets as Improved and Reusable Substrates for Gold Nanoparticles Enabled Surface Enhanced Raman Spectroscopy

Atomically thin boron nitride (BN) nanosheets have been found an excellent substrate for noble metal particles enabled surface enhanced Raman spectroscopy (SERS), thanks to their good adsorption of aromatic molecules, high thermal stability and weak Raman scattering. Faceted gold (Au) nanoparticles have been synthesized on BN nanosheets by a simple but controllable and reproducible sputtering and annealing method. The size and density of the Au particles can be controlled by sputtering time, current and annealing temperature etc. Under the same sputtering and annealing conditions, the Au particles on BN of different thicknesses show various sizes because the surface diffusion coefficients of Au depends on the thickness of BN. Intriguingly, decorated with similar morphology and distribution of Au particles, BN nanosheets exhibit better Raman enhancements than silicon substrate as well as bulk BN crystals. Additionally, BN nanosheets show no noticeable SERS signal and hence cause no interference to the Raman signal of analyte. The Au/BN substrates can be reused by heating in air to remove adsorbed analyte without loss of SERS enhancement.Comment: Complementary Info include

A method for estimating yield of maize inbred lines by assimilating WOFOST model with Sentinel-2 satellite data

Maize is the most widely planted food crop in China, and maize inbred lines, as the basis of maize genetic breeding and seed breeding, have a significant impact on China’s seed security and food safety. Satellite remote sensing technology has been widely used for growth monitoring and yield estimation of various crops, but it is still doubtful whether the existing remote sensing monitoring means can distinguish the growth difference between maize inbred lines and hybrids and accurately estimate the yield of maize inbred lines. This paper explores a method for estimating the yield of maize inbred lines based on the assimilation of crop models and remote sensing data, initially solves the problem. At first, this paper analyzed the WOFOST(World Food Studies)model parameter sensitivity and used the MCMC(Markov Chain Monte Carlo) method to calibrate the sensitive parameters to obtain the parameter set of maize inbred lines differing from common hybrid maize; then the vegetation indices were selected to establish an empirical model with the measured LAI(Leaf Area Index) at three key development stages to obtain the remotely sensed estimated LAI; finally, the yield of maize inbred lines in the study area was estimated and mapped pixel by pixel using the EnKF(Ensemble Kalman Filter) data assimilation algorithm. Also, this paper compares a method of assimilation by setting a single parameter. Instead of the WOFOST parameter optimization process, a parameter representing the growth weakness of the inbred lines was set in WOFOST to distinguish the inbred lines from the hybrids. The results showed that the yield estimated by the two methods compared with the field measured yield data had R2: 0.56 and 0.18, and RMSE: 684.90 Kg/Ha and 949.95 Kg/Ha, respectively, which proved that the crop growth model of maize inbred lines established in this study combined with the data assimilation method could initially achieve the growth monitoring and yield estimation of maize inbred lines

Assessment of the influence on Hypsizygus marmoreus stem waste as a sustainable alternative to corn in Holdobagy geese dietary

The processing of edible mushrooms generates a large amount of mushroom residue. How to handle this mushroom residue in a way that avoids environmental pollution and maximizes effective utilization is a current issue that needs to be explored. This study aimed to investigate the effects of substituting dietary corn with Hypsizygus marmoreus mushroom stem waste (HSW) in the diet of geese. The control group was fed with a basal diet (BD), and the other groups were fed the basal diet to which 12% (HSW12 group), 24% (HSW24 group), or 32% (HSW32 group) of HSW were added to replace the equivalent proportion of corn. The test lasted 28 days. The results showed that the average daily feed intake (ADFI) of the HSW12 and HSW24 groups at 35–49 d, and the HSW12 and HSW32 groups at 35–63 d, was significantly higher compared to the BD group (p<0.05). The average daily gain (ADG) of the HSW12 group was significantly higher than BD at 35–49 d (p<0.05), but there was no significant difference in the feed/gain (F/G) among the groups. The levels of serum total protein (TP), albumin (ALB), globulin (GLOB), glutathione peroxidase (GSH-Px), and catalase (CAT) in HSW24 group were significantly higher than those in the BD group (p<0.05). Total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and malondialdehyde (MDA) decreased significantly, and there were no significant differences in carcass traits and meat quality. As 24% HSW supplementation had the best overall effect on the growth performance, serum biochemical indicators, meat quality, and carcass traits of geese, gut microbiota analysis was only performed on this group. The microbiota α-diversity of the cecum and ileum did not differ significantly between the BD and HSW24 groups. Principal coordinate analysis (PCoA) indicated that the difference in the cecum was significant in the β-diversity (p<0.05). Short chain fatty acid-producing bacteria and decomposing protein and carbohydrate bacteria (Prevotella) were enriched in the cecum in the HSW24 group. Gut immune regulating and nutritional bacteria, Lactococcus and Bacillus, respectively, were enriched in the ileum in HSW24 group. Spearman’s analysis indicated that Bacillus, Prevotella, and Clostridium were positively associated with serum protein and lipid metabolism. These results indicate that 24% HSW substitution of corn could improve goose serum ALB and fat metabolism, and increase serum antioxidant capacity, which may becaused by the improvement of goose cecal microbiota