Publications by authors named "Li-xia Yao"

Based on grid sample method (20 m×20 m), spatial heterogeneity and distribution of soil water physical properties from 0 to 5 cm of the coal gangue pile in arid desert area were explored by using classical statistics and geostatistics methods. The results showed that the variation of soil bulk density, capillary porosity, capillary maximum moisture capacity, total porosity and saturated moisture contents were weak, while water content showed a moderate variation. The best fitting model of soil bulk density was Gaussian model, and exponential model was the best fitting model for other indices.

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Drug safety is a severe clinical pharmacology and toxicology problem that has caused immense medical and social burdens every year. Regretfully, a reproducible method to assess drug safety systematically and quantitatively is still missing. In this study, we developed an advanced machine learning model for de novo drug safety assessment by solving the multilayer drug-gene-adverse drug reaction (ADR) interaction network.

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Delivering safe and effective therapeutic treatment to patients is one of the grand challenges in modern medicine. However, drug safety research has been progressing slowly in recent years, compared to other fields such as biotechnologies and precision medicine, due to the mechanistic complexity of adverse drug reactions (ADRs). To fill up this gap, we develop a new database, the Adverse Drug Reaction Classification System-Target Profile (ADReCS-Target, http://bioinf.

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Purpose: To evaluate the bond strength of a self-adhesive resin cement to dentin by pulse Nd:YAG laser.

Methods: Ten freshly extracted non-carious human premolars were cut into nearly equal halves and prepared to expose the dentin,randomly divided into two groups with 10 in each group:laser group and control group.All teeth were bonded using a self-adhesive resin cement to dentin after the teeth in the laser group were processed with pulse Nd:YAG laser(0.

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Objective: To compare the expression of CCL28 in minor and major salivary glands and clarify the role it plays in IgA secreting by minor salivary glands in oral cavity.

Methods: Labial gland and parotid samples were analyzed with real-time fluorescent quantitative PCR assay for CCL28 mRNA. Rank-sum test was used for data analysis using SPSS 10.

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