Prediction of PM2.5 time series by seasonal trend decomposition-based dendritic neuron model.

The rapid industrial development in the human society has brought about the air pollution, which seriously affects human health. PM2.5 concentration is one of the main factors causing the air pollution. To accurately predict PM2.5 microns, we propose a dendritic neuron model (DNM) trained by an improved state-of-matter heuristic algorithm (DSMS) based on STL-LOESS, namely DS-DNM. Firstly, DS-DNM adopts STL-LOESS for the data preprocessing to obtain three characteristic quantities from original data: seasonal, trend, and residual components. Then, DNM trained by DSMS predicts the residual values. Finally, three sets of feature quantities are summed to obtain the predicted values. In the performance test experiments, five real-world PM2.5 concentration data are used to test DS-DNM. On the other hand, four training algorithms and seven prediction models were selected for comparison to verify the rationality of the training algorithms and the accuracy of the prediction models, respectively. The experimental results show that DS-DNM has the more competitive performance in PM2.5 concentration prediction problem.

Comparison of hospitalization cause and risk factors between patients undergoing hemodialysis and peritoneal dialysis.

This retrospective study was designed to compare the cause of hospitalization and influencing factors between patients undergoing hemodialysis (HD) and peritoneal dialysis (PD). Baseline data and laboratory parameters of 192 dialysis patients (92 HD patients and 100 PD patients) were compared. Quantitative parameters with normal distribution were assessed using independent t-test or analysis of variance (ANOVA). Quantitative parameters with non-normal distribution were assessed by non-parametric test. Qualitative data were statistically compared using χ2 test. The number of patients with urban employee medical insurance (88 HD patients and 60 PD patients) and rural cooperative medical care (12 HD patients and 40 PD patients) significantly differed (P < .01). The hospitalization rate of PD patients was significantly higher than that of HD counterparts. The average length of hospital stay of PD patients was 10 days, remarkably longer than 8 days of HD patients (P < .01). The primary cause of hospitalization for HD patients was infection-related complications, followed by cardiovascular, cerebrovascular complications and dialysis access disorders. The primary cause of hospitalization for PD patients was infection-related complications, followed by dialysis access disorders, cardiovascular, and gastrointestinal complications. Compared with the HD group, the levels of hemoglobin, serum albumin, alkaline phosphatase, intact parathyroid hormone were significantly decreased, whereas serum urea nitrogen, serum creatinine, phosphorus levels and cardiothoracic ratio were remarkably increased in the PD group (all P < .01). The hospitalization rate of PD patients is relatively higher, and the length of hospital stay is longer. Extensive attention and efforts should be delivered to enhance the understanding of disease and lower the risk of complications for patients.

GPR40 Agonist Ameliorate Pathological Neuroinflammation of Alzheimer's Disease via the Modulation of Gut Microbiota and Immune System, a Mini-Review.

Alzheimer's disease (AD) is a central disease with high incidence, and its pathological process is closely associated with changes of some biological indicators in the periphery. Among them, the intestinal flora mainly causes a series of pathological changes such as inflammation through the immune system, which may contribute to the pathological process of AD. In this paper, we mainly focused the relationship between gut microbiota and immune system disorder in the neuropathology of AD, underlining the significance of the advanced mechanism of inflammatory response and providing a new direction for the treatment of AD.