Publications by authors named "Wei-Chao Wu"

A novel organic-inorganic hybrid perovskite crystal, [ClCH(CH)NH]CuBr (), having experienced an invertible high-temperature phase transition near (the Curie temperature = 355 K), has been successfully synthesized. The phase-transition characteristics for compound are thoroughly revealed by specific heat capacity (), differential thermal analysis, and differential scanning calorimetry tests, possessing 16 K broad thermal hysteresis. Multiple-temperature powder X-ray diffraction analysis further proves the phase-transition behavior of compound .

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Organic carbon (OC), elemental carbon (EC), and PM concentration data obtained from Shanxi Super Station in Jiashan County of Jiaxing City, in the winter of 2018 and 2019, were analyzed to determine the variation and potential source areas of carbonaceous aerosols. The results show that OC concentrations in the winter of 2018 and 2019 were 6.90 μg·m and 5.

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Background: Laparoscopic resection of the pancreatic body and tail is the predominant methodology to remove lesions in these locations; its safety and surgical planning are relatively mature, but it remains a complex and high-precision surgical operation, requiring abundant experience and skills in laparoscopic surgery, with a 10% rate of complications.

Aim: To verify the feasibility and safety, as well as to examine the complications of endoscopic pancreatectomy and healing mechanisms of pancreatic wounds after endoscopic resection.

Methods: Transgastric endoscopic resections of varying sizes of pancreases were performed in 15 healthy Bama miniature pigs.

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Objective: To study on the chemical constituents of Cudrania tricuspidata.

Methods: The chemical constituents were separated by means of silica gel and Sephadex LH-20 chromatography, and their structures were identified by spectra of 1H-NMR, 13 C-NMR.

Results: Seven compounds were isolated and identified as Quercetin (I),5,7,4'-trihydroxyldihydroisoflavone (II), (13alpha, 14beta, 17alpha, 20R)-Lanosta-7, 24-diene-3beta-ol (III), (13alpha, 14beta,17alpha, 20R)-Lanosta-7,24-diene-3beta-0-acetate (IV), Taxifolin (V), Dihydromorin (VI), Cycloartocarpin(VII).

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To improve the diagnostic efficiency of cancer, serum fluorescence spectrum combined with tumor marker groups was proved more powerful, especially when used with mathematical evaluation model, that is, artificial neural network (ANN) modeling. ANN modeling is very suitable for the discrimination of lung cancer. ANN has evident superiority in solving nonlinear, multi-parameter and uncertain complicated problems.

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