4,5-Bis(isopropyl­sulfan­yl)benzene-1,2-dicarbonitrile

In the title compound, C14H16N2S2, the C atoms of the aromatic ring, the two cyanide groups and the two S atoms of the isopropyl­sulfanyl groups are almost coplanar [maximum deviation from the mean plane = 0.042 (7) Å]. In the crystal, inversion dimers linked by aromatic π–π stacking occur, with a centroid–centroid separation of 3.7543 (8) Å

Influence of “Internet plus” based continuous nursing intervention on hemodialysis self-management ability of patients with uremia and its countermeasures

Objective: To analyze the impact of “Internet Plus”oriented continuous nursing intervention on hemodialysis self-management ability (HSMA) of patients with uremia and its countermeasures.Methods: 60 uremia patients admitted to hemodialysis in the hospital from January to December 2018 were selected as the control group (using routine continuous nursing intervention); 60 uremia patients admitted to hemodialysis from January to December 2019 were also selected as the observation group (using "Internet Plus"oriented continuous nursing intervention); the changes in the score values of the two groups of patients according to the self-management scale (SMSH) and chronic disease health literacy after intervention respectively. Results: After intervention，the self-management score of the patients in the observation group in terms of problem solving，emotional processing and self-care was higher than that of the control group (P<0.05)，and the score value in terms of information acquisition ability，improvement of health willingness, communication and interaction ability was higher than that of the control group (P<0).0.05).Conclusion:the continuity of nursing intervention based on “Internet plus”self-management enhances the self-management ability of patients with uremic hemodialysis and improves their health literacy

Gastritis Treated by Chinese Medicine

Chronic gastritis is one of the common diseases of the digestive system characterized by many uncomfortable clinical symptoms, and the patient with chronic gastritis has a lower quality of life. Chinese medicine is a branch of medicine in the world, and it has special theory; different methods have been used to treat gastritis for more than 1000 years. We aimed to introduce the special theory and the different methods of Chinese medicine and about its syndrome classification, syndrome differentiation and treatment, diagnosis and treatment process, and criterion of therapeutic effect of chronic gastritis. The mechanism of Chinese medicine on chronic gastritis needs further research

A Comparison of Hierarchical and Non-Hierarchical Bayesian Approaches for Fitting Allometric Larch (Larix.spp.) Biomass Equations

Accurate biomass estimations are important for assessing and monitoring forest carbon storage. Bayesian theory has been widely applied to tree biomass models. Recently, a hierarchical Bayesian approach has received increasing attention for improving biomass models. In this study, tree biomass data were obtained by sampling 310 trees from 209 permanent sample plots from larch plantations in six regions across China. Non-hierarchical and hierarchical Bayesian approaches were used to model allometric biomass equations. We found that the total, root, stem wood, stem bark, branch and foliage biomass model relationships were statistically significant (p-values \u3c 0.001) for both the non-hierarchical and hierarchical Bayesian approaches, but the hierarchical Bayesian approach increased the goodness-of-fit statistics over the non-hierarchical Bayesian approach. The R2 values of the hierarchical approach were higher than those of the non-hierarchical approach by 0.008, 0.018, 0.020, 0.003, 0.088 and 0.116 for the total tree, root, stem wood, stem bark, branch and foliage models, respectively. The hierarchical Bayesian approach significantly improved the accuracy of the biomass model (except for the stem bark) and can reflect regional differences by using random parameters to improve the regional scale model accuracy

Prediction of yeast protein–protein interaction network: insights from the Gene Ontology and annotations

A map of protein–protein interactions provides valuable insight into the cellular function and machinery of a proteome. By measuring the similarity between two Gene Ontology (GO) terms with a relative specificity semantic relation, here, we proposed a new method of reconstructing a yeast protein–protein interaction map that is solely based on the GO annotations. The method was validated using high-quality interaction datasets for its effectiveness. Based on a Z-score analysis, a positive dataset and a negative dataset for protein–protein interactions were derived. Moreover, a gold standard positive (GSP) dataset with the highest level of confidence that covered 78% of the high-quality interaction dataset and a gold standard negative (GSN) dataset with the lowest level of confidence were derived. In addition, we assessed four high-throughput experimental interaction datasets using the positives and the negatives as well as GSPs and GSNs. Our predicted network reconstructed from GSPs consists of 40 753 interactions among 2259 proteins, and forms 16 connected components. We mapped all of the MIPS complexes except for homodimers onto the predicted network. As a result, ∼35% of complexes were identified interconnected. For seven complexes, we also identified some nonmember proteins that may be functionally related to the complexes concerned. This analysis is expected to provide a new approach for predicting the protein–protein interaction maps from other completely sequenced genomes with high-quality GO-based annotations