Publications by authors named "Shi-Jun Tang"
Poor oral health was associated with higher risk of gastric cancer: Evidence from 1431677 participants.
World J Gastrointest Surg
February 2024
Article Synopsis
- The study examines the link between oral health and the risk of gastric cancer (GC), acknowledging mixed findings in previous research.
- It analyzes data from 1.4 million patients across various studies, concluding that poor oral health is indeed associated with an increased risk of GC, particularly highlighting periodontitis as a significant factor.
- The research suggests that individuals with poor oral hygiene should be aware of their potential heightened risk for developing gastric cancer.
Background: Children with Autism spectrum disorder (ASD) was frequently experienced dental anxiety and uncooperative behaviors during dental treatment. Oral health care was necessary because of the poor oral hygiene and prevalent dental diseases in this population.
Aim: In this systematic review, we evaluated the effectiveness and feasibility for pediatric dentist to manage the dental anxiety in children with ASD.
[Effects of Bisphosphonates on Beclin1 and LC3Ⅱ Induced by High-glucose in Rat Bone Marrow Mesenchymal Stem Cells].
Sichuan Da Xue Xue Bao Yi Xue Ban
September 2018
Objective: To investigate the effects of bisphosphonates on autophagy induced by high-glucose in rat bone marrow mesenchymal stem cells (BMSCs).
Methods: BMSCs were isolated and cultured , identified by undergoing osteogenic/chondrogenic/adipogenic differentiation, the concentration of bisphosphonates was determined by CCK-8 method. The cells were cultured in normal glucose (5.
Non-destructive and fast identification of cotton-polyester blend fabrics by the portable near-infrared spectrometer.
Guang Pu Xue Yu Guang Pu Fen Xi
December 2014
Article Synopsis
- A study analyzed 376 cotton-polyester blend fabrics using a portable near-infrared (NIR) spectrometer, creating a calibration model through Partial Least Squares (PLS) for both qualitative and semi-quantitative identification.
- The model effectively distinguished cotton and polyester content by utilizing the specific absorption bands in the 1400-1800 nm range, adjusting for noise using Savitzky-Golay derivative techniques and other preprocessing methods.
- The final model produced strong evaluation metrics, including a relational coefficient of 0.978 for calibration and a prediction accuracy of 93.4%, indicating its reliability for identifying fabric compositions.
The establishment and external validation of NIR qualitative analysis model for waste polyester-cotton blend fabrics.
Guang Pu Xue Yu Guang Pu Fen Xi
October 2014
A series of 354 polyester-cotton blend fabrics were studied by the near-infrared spectra (NIRS) technology, and a NIR qualitative analysis model for different spectral characteristics was established by partial least squares (PLS) method combined with qualitative identification coefficient. There were two types of spectrum for dying polyester-cotton blend fabrics: normal spectrum and slash spectrum. The slash spectrum loses its spectral characteristics, which are effected by the samples' dyes, pigments, matting agents and other chemical additives.
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