Can Regional Eco-Efficiency Forecast the Changes in Local Public Health: Evidence Based on Statistical Learning in China.

Regional eco-efficiency affects local public health through intermediaries such as economic and environmental impacts. Considering multiple factors, the implicit and uncertain relationship with regional characteristics, and the limited data availability, this paper investigated the forecasting of changes in local public health-including the number of visits to hospitals (VTH), outpatients with emergency treatment (OWET), number of inpatients (NI), number of health examinations (NOHE), and patients discharged (PD)-using calculated regional eco-efficiency with the Least Square-Support Vector Machine-Forecasting Model and acquired empirical evidence, utilizing the province-level data in China. Results: (1) regional eco-efficiency is a good predictor in both a single and multi-factor situation; (2) the prediction accuracy for five dimensions of the changes in local public health was relatively high, and the volatility was lower and more stable throughout the whole forecasting period; and (3) regional heterogeneity, denoted by three economic and demographic factors and three medical supply and technical level factors, improved the forecasting performance. The findings are meaningful for provincial-level decision-makers in China in order for them to know the current status or trends of medical needs, optimize the allocation of medical resources in advance, and enable ample time to tackle urgent emergencies, and, finally, the findings can serve to evaluate the social effects of improving regional eco-efficiency via local enterprises or individuals and adopting sustainable development strategies.

Fixed/Preassigned-time stochastic synchronization of T-S fuzzy complex networks with partial or complete information communication.

This paper is devoted to analyzing Fixed/Preassigned-time synchronization of T-S fuzzy complex networks (TSFCNs) with stochastic effects. Unlike the existing results, partial information communication and complete information communication are all considered according to a Bernoulli distribution. Furthermore, different controllers with quantization are structured to realize our synchronization goal, and one of control parameters can switch based on the error information. Besides, we derive sufficient conditions to guarantee Fixed-time(FDT) and Preassigned-time(PAT) synchronization of TSFCNs, and analyze the difference of FDT and PAT synchronization. Finally, numerical examples and comparisons show that our results are valid.

Quantitative Impact Analysis of Climate Change on Residents' Health Conditions with Improving Eco-Efficiency in China: A Machine Learning Perspective.

Climate change affects public health, and improving eco-efficiency means reducing the various pollutants that are the result of economic activities. This study provided empirical evidence of the quantitative impact analysis of climate change on the health conditions of residents across China due to improvements that have been made to eco-efficiency. First, the indicators that were collected present adequate graphical trends and regional differences with a priori evidence about their relationships to each other; second, the present study applied Sensitivity Evaluation with Support Vector Machines (SE-SVM) to Chinese provincial panel data, taking the Visits to Hospitals, Outpatients with Emergency Treatment, and Number of Inpatients as proxy variables for the health conditions of the residents in each area and temperature, humidity, precipitation, and sunshine as the climate change variables, simultaneously incorporating the calculated eco-efficiency with six controlling indicators; third, we compared in-sample forecasting to acquire the optimal model in order to conduct elasticity analysis. The results showed that (1) temperature, humidity, precipitation, and sunshine performed well in forecasting the health conditions of the residents and that climate change was a good forecaster for resident health conditions; (2) from the national perspective, climate change had a positive relationship with Visits to Hospitals and Outpatients with Emergency Treatment but a negative relationship with the Number of Inpatients; (3) An increase in regional eco-efficiency of 1% increase the need for Visits to Hospitals and Outpatients with Emergency Treatment by 0.2242% and 0.2688%, respectively, but decreased the Number of Inpatients by 0.6272%; (4) increasing the regional eco-efficiency did not show any positive effects for any individual region because a variety of local activities, resource endowment, and the level of medical technology available in each region played different roles. The main findings of the present study are helpful for decision makers who are trying to optimize policy formulation and implementation measures in the cross-domains of economic, environmental, and public health.

Long noncoding RNA ARSR is associated with a poor prognosis in patients with colorectal cancer.

BACKGROUND: As one of the leading cancer-related mortalities worldwide, colorectal cancer (CRC) shows resistance to chemotherapy mainly because of drug resistance. Existing evidence has revealed that long noncoding RNAs (lncRNAs) are related to tumorigenesis and chemoresistance scenarios. However, the mechanism by which lncRNA induces chemoresistance and the postoperative prognosis of CRC both remain unclear. METHODS: The expression of a lncRNA named lncARSR in CRC tissue was tested, and its association with clinical and pathological features was analyzed. Gain-of-function and loss-of-function assays were conducted to investigate the role of lncARSR in vivo and in vitro. RESULTS: Functional analysis showed that overexpressing lncARSR increased oxaliplatin (OXA) resistance of CRC cells in vitro and in vivo. Moreover, lncARSR conferred chemoresistance to CRC cells. Silencing lncARSR decreased cell viability and promoted cell apoptosis after OXA treatment, whereas overexpression of lncARSR increased cell viability and reduced cell apoptosis after OXA treatment. In addition, lncARSR overexpression induced the tumor formation capacity of colorectal cancer cells. CONCLUSIONS: The results obtained in the present study show that up-regulation of lncARSR promoted OXA resistance in CRC. Our results also imply that lncARSR may be a candidate marker for CRC chemoresistance.

Xuan Bi Tong Yu Fang Promotes Angiogenesis via VEGF-Notch1/Dll4 Pathway in Myocardial Ischemic Rats.

OBJECTIVE: To investigate the effect of Xuan Bi Tong Yu Fang (XBTYF) on angiogenesis via the vascular endothelial growth factor- (VEGF-) Notch1/delta-like 4 (Dll4) pathway. Materials and Methods. Sixty Sprague-Dawley rats were randomly divided into six groups: control, sham-operated, myocardial ischemia model, and XBTYF treatment at 3.2, 1.6, and 0.8 g/kg. Electrocardiography was performed to evaluate the successful establishment of the model. Hematoxylin-eosin staining and transmission electron microscopy were carried out to observe the morphology and mitochondrial structure in myocardial cells, respectively. TUNEL staining was performed to assess the degree of cell apoptosis. The expression of VEGF-A, Notch1, Dll4, Bcl2, Bax, caspase 3, caspase 9, and cytochrome-c (Cyt-c) was observed by western blot. RESULTS: XBTYF inhibited changes to the morphology and mitochondrial structure in cardiomyocyte and reduced cell apoptosis. Compared with the model group, XBTYF at all doses (3.2, 1.6, and 0.8 g/kg) reduced the expression of Notch1, Dll4, Bax, caspase 3, caspase 9, and Cyt-c, whereas expression of VEGF-A and Bcl2 was increased. CONCLUSION: XBTYF attenuated mitochondrial damage and cell apoptosis while promoting the angiogenesis of cardiomyocyte. The associated mechanism may be related to the VEGF-Notch1/Dll4 pathway.

MicroRNA-219-5p Represses the Proliferation, Migration, and Invasion of Gastric Cancer Cells by Targeting the LRH-1/Wnt/ß-Catenin Signaling Pathway.

MicroRNAs (miRNAs) are reportedly involved in gastric cancer development and progression. In particular, miR-219-5p has been reported to be a tumor-associated miRNA in human cancer. However, the role of miR-219-5p in gastric cancer remains unclear. In this study, we investigated for the first time the potential role and underlying mechanism of miR-219-5p in the proliferation, migration, and invasion of human gastric cancer cells. miR-219-5p was found to be markedly decreased in gastric cancer tissues and cell lines compared with adjacent tissues and normal gastric epithelial cells. miR-219-5p mimics or anti-miR-219-5p was transfected into gastric cancer cell lines to overexpress or suppress miR-219-5p expression, respectively. Results showed that miR-219-5p overexpression significantly decreased the proliferation, migration, and invasion of gastric cancer cells. Conversely, miR-219-5p suppression demonstrated a completely opposite effect. Bioinformatics and luciferase reporter assays indicated that miR-219-5p targeted the 3'-untranslated region of the liver receptor homolog-1 (LRH-1), a well-characterized oncogene. Furthermore, miR-219-5p inhibited the mRNA and protein levels of LRH-1. LRH-1 mRNA expression was inversely correlated with miR-219-5p expression in gastric cancer tissues. miR-219-5p overexpression significantly decreased the Wnt/ß-catenin signaling pathway in gastric cancer cells. Additionally, LRH-1 restoration can markedly reverse miR-219-5p-mediated tumor suppressive effects. Our study suggests that miR-219-5p regulated the proliferation, migration, and invasion of human gastric cancer cells by suppressing LRH-1. miR-219-5p may be a potential target for gastric cancer therapy.