No abstract

Differentially expressed serum miRNAs may have considerable clinical value in HCC diagnosis, and be particularly helpful for AFP-negative HCC.

To establish serum microRNA profiles as prognostic biomarkers in hepatocellular carcinoma patients (HCCs), we used deep sequencing to screen serum microRNAs in a discovery set. Twelve up-regulated serum miRNAs were selected for qPCR analysis in a training set. MiR-192-5p and miR-29a-3p were identified and associated with HCC prognosis. HCCs with high concentrations of miR-192-5p and miR-29a-3p had poorer overall survival (OS) and progression-free survival (PFS) than those with low concentrations. We calculated a prognostic index (PI) score and classified patients into low-, medium- and high-risk groups. OS and PFS among the 3 groups from the training set were significantly different (all P < 0.05). PI (PIOS, PIPFS) score was the only independent prognostic predictor for OS and PFS of HCCs in the training set. These results were further confirmed in a validation set. In conclusion, differentially expressed serum miRNAs can be helpful for predicting survival in HCCs.

In this paper, Al-doped ZnO thin films were deposited on glass substrates by RF magnetron sputtering and subsequently rapid thermal processing was executed under temperature range from 300°C to 600°C in order to investigate the microstructure, electrical, and optical properties of AZO films. XRD and AFM microscopy results showed that all the samples were of poly-crystalline and the grain size became larger with the increasing processing temperature. Compared with the sample as-deposited, it was shown that resistivity decreased from 1.9×10-2 to 1.48×10-3Ωcm and carrier concentration increased from 1.48×1020 to 5.59×1020 cm3 when the sample was processed at 600°C in pure nitrogen for 1 min. The highest transmittance of the samples processed at 500°C improves to 90.35% compared with the as-deposited films (68.2% ) as the wavelength varied between 400 and 900 nm.

The material recognition and size measuring cell is very important for the development and practicability of flexible manufacturing system (FMS). However, the existing FMS mostly recognize the two-dimensional shape of the workpiece, measure the one- dimensional shape of the finishing product. This greatly limits the performance of FMS. In this paper, these cells have been optimally designed to identify and measure the three-dimensional shape of the workpiece based on the optical measurement principle. The method has the advantage at robust recognition rate and high recognition quality.