[Application of Intermittent Lung Inflation Combined with Rigid Ureteroscopy in Treating Upper Ureteral Stones That Were Not Fully Visible].

To analyze the effectiveness and safety of intermittent lung inflation combined with rigid ureteroscopy in the treatment of upper ureteral stones that were not fully visible. The clinical and imaging data of 56 patients with upper ureteral stone undergoing rigid ureteroscopic lithotripsy combined with intermittent lung inflation in Zhejiang Quhua Hospital from March 2016 to October 2017 were retrospectively analyzed.Intermittentt lung inflation was used to change and stabilize the position of ureteral calculi during the operation,so as to ensure the visual field of ureteroscopy.

Serum level of co-expressed hub miRNAs as diagnostic and prognostic biomarkers for pancreatic ductal adenocarcinoma.

Sensitive and specific non-invasive biomarkers are urgently needed in order to improve the survival of patients with pancreatic ductal adenocarcinoma (PDAC), which is the fourth leading cause of cancer-related death. We aim to identify serum hub miRNAs as potential diagnostic and prognostic biomarkers for PDAC. A total of 2578 serum miRNA expression data from 88 PDAC patients and 19 healthy subjects were downloaded from the Gene Expression Omnibus database.

The current and future potential geographic range of West Indian fruit fly, Anastrepha obliqua (Diptera: Tephritidae).

The West Indian fruit fly, Anastrepha obliqua (Macquart), is one of the most important pests throughout the Americas. CLIMEX 3.0 and ArcGIS 9.

[The quantitative analysis of polycomponent PAHs by netural network based on data synthese and principal].

The present paper used synthesized data from the experiment samples to replace partial basic experiments, and increased the training samples amount from 14 to 27. In principal component analysis (PCA), the dimensionality of multivariate data was reduced to n principal components and almost all data information was kept. The PCA reduced the network's input nodes from 60 to 3 to simplify the neural network's structure.

[The preliminary research on information redundance in fluorescence spectral data process].

This paper presented the problem of information redundance factor in spectral data analysis. Three-component mixtures fluorescence spectra data of anthracene, pyrene and phenanthrene, which were typical polycyclic aromatic hydrocarbons (PAHs), were investigated through principal component regression analysis and move windows wavelength selection in chemometrics. Theoretical analysis and experimental result demonstrated that there was information redundancy in fluorescence signal; the data which have been optimized by redundancy techniques could show more realistic information of the test samples quantitatively, and for the multi-component mixed system with spectral overlapped seriously, analysis with the data which have been optimized through redundancy techniques could improve the sensitivity and stability of the models.