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Based on the estimation of carbon emissions (CE) from the power sector throughout China’s 30 administrative regions in the period of 2003 to 2013, this study investigated the space-time evolution characteristic and its determinants using spatial autocorrelation test and the spatial Durbin model (SDM). The main results are as follows: (1) The CE from power sector increased from 1.58 billion tons to 3.88 billion tons, with an average annual growth rate of 9.54%, while obvious imbalance existed among different regions. (2) According to spatial analysis, the global Moran’s I values of CE from the power sector are significantly positive during the sample period, meaning that the CE has an obvious clustering effect. The local spatial autocorrelation index confirms the imbalance of spatial distribution of the power sector’s CE. (3) Results of the spatial Durbin model show that the urbanization rate, per capita GDP, and fee-based environmental regulations have a spatial spillover effect. Based on the above findings, several policy suggestions are presented in this article.
This paper employs a parametric Malmquist index to measure carbon emission performance and its dynamic variation of China’s thermal power generation sector from 2003 to 2013. The parametric stochastic frontier analysis (SFA) is applied to estimate the total factor carbon emission performance (TFCP), while the Malmquist carbon emission performance index (MCPI) is used to measure the dynamic change. The main findings are as follows: 1. The average value of TFCP shows an increasing trend but varies among regions. In addition, the investment-based regulations and the efficiency of fuel utilization have positive effects on TFCP, while the effects of R&D expenditure and fee-based regulations are insignificant. 2. The MCPI of China’s provincial thermal power industry grew by an average of 3.1% annually and was mainly driven by the efficiency change component. 3. According to the average levels of TFCP and MCPI, the 30 provinces are divided into four categories, which provide a scientific basis for policymakers to implement regional-oriented strategies for the improvement of both TFCP and MCPI.
Background: Post-infarction cardiac injury is closely associated with cardiac remodeling and heart dysfunction. Mammalian STE20-like kinase 1 (Mst1), a regulator of cellular apoptosis, is involved in cardiac remodeling in post-infarction heart, but the mechanisms remain poorly defined. We aimed to explore the role of Mst1 in regulating chronic post-infarction cardiac injury, with a focus on mitochondrial homoeostasis. Methods: Wild-type (WT) and Mst1-knockout mice were as the cardiac myocardial infarction model. Cardiac fibrosis, myocardial inflammation response, heart dysfunction and cardiomyocyte death were measured in vivo using immunohistochemistry, immunofluorescence, western blot, qPCR and TUNEL assays. Cardiomyocytes were isolated from WT and Mst1-knockout mice, and a chronic hypoxia model was used to induce damage. Mitochondrial function was determined via JC1 staining, ROS measurement, cyt-c leakage detection and mitochondrial apoptotic pathways analysis. Mitochondrial fission was observed using immunofluorescence. A pathway activator and inhibitor were applied to establish the signaling pathways involved in regulating mitochondrial homeostasis. Results: Our study demonstrated that Mst1 expression was significantly upregulated in the heart post-infarction. Activated Mst1 induced cardiac fibrosis, an excessive inflammatory response, and cardiomyocyte death, whereas the genetic ablation of Mst1 protected the myocardium against chronic post-infarction injury. Function assays showed that upregulation of Mst1 activity contributed to JNK pathway activation, which led to Drp1 migration from the cytoplasm onto the surface of the mitochondria, indicative of mitochondrial fission activation. Excessive mitochondrial fission caused mitochondrial fragmentation, resulting in mitochondrial potential collapse, ROS overproduction, mitochondrial pro-apoptotic leakage into the cytoplasm, and the initiation of caspase-9-mediated mitochondrial apoptosis. By contrast, Mst1 deletion helped to maintain mitochondrial structure and function, sending pro-survival signals to the cardiomyocytes. Conclusions: Our results identify Mst1 as a malefactor in the development of post-infarction cardiac injury and that it acts through the JNK-Drp1-mitochondrial fission pathway.
In order to reveal the impact of forest coverage on runoff of the basin in the Loess Plateau of China, multi-year observational data were collected from 53 basins located in a typical loess area of the Loess Plateau of China. The impact was investigated using trend analysis, regression fitting, and serial cluster analysis. The results showed that 25% forest coverage is the partition point impacting the mean annual runoff coefficient, dividing the basins into two groups with forest coverage <25% and forest coverage ≥25%. For the former, the correlation between forest coverage and the mean annual runoff coefficient is very weak, while for the latter, the correlations conform to negative exponential function, the correlation is significantly negative at 0.01 level and the correlation coefficient is 0.614, and forest coverage has a relatively large impact on the mean annual runoff coefficient and that the mean annual runoff coefficient decreases significantly as forest coverage increases. Therefore, revegetation within 25% forest coverage will not have a large impact on local water resources, and the results provide some reference for revegetation in areas of the Loess Plateau of China.
Chlorpyrifos, one of the common broad-spectrum insecticides, can damage the human nerve system – even to the point of death under long-term exposure. In addition, chlorpyrifos is hard to be naturally degraded because of its strong combination with soil particles and long half-life. So repairing the polluted soil is urgently needed. In this study, the embedding and crosslinking immobilization techniques were used to determine the degradation of chlorpyrifos in soil. After 16SrDNA analysis, the results showed that LLBD2 is Bacillus cereus and LLBD4 is bacillus sp., and bacteria immobilized on the degradation of chlorpyrifos were significantly better than the free bacteria. The degradation rate reached 83.28% after LLBD2 being immobilized within 72 h. Furthermore, the environmental factors influenced with LLBD2 showed that immobilized bacteria were more adapted to the changed environment than the free one. Although the initial concentration, pH, and temperature were significantly changed, the degradation rate of chlorpyrifos by immobilized bacteria was stable, suggesting that environmental factors had little influence on the immobilized bacteria.
Background: MicroRNAs (miRNAs) have physiological and pathophysiological functions that are involved in the regulation of cardiac fibrosis. This study aimed to investigate the effects of miR-495 on high glucose-induced cardiac fibrosis in human cardiac fibroblasts (CFs) and to establish the mechanism underlying these effects. Methods: Human CFs were transfected with an miR-495 inhibitor or mimic and incubated with high glucose. The levels of NOD1 and miR-495 were then determined via quantitative RT-PCR. Pro-inflammatory cytokine levels, cell differentiation and extracellular matrix accumulation were respectively detected using ELISA, quantitative RT-PCR and western blot assays. The luciferase reporter assay, quantitative RT-PCR and western blot were used to explore whether NOD1 was a target of miR-495. The effects of miR-495 on the NF-κB and TGF-β1/Smad signaling pathways were also detected via western blot. Results: Our results show that high glucose can significantly increase the expression of NOD1 in a time-dependent manner. Upregulation of miR-495 significantly alleviated the high glucose-induced increases in cell differentiation and collagen accumulation of CFs. Moreover, the bioinformatics analysis predicted that NOD1 was a potential target gene for miR-495. The luciferase reporter assay showed that miR-495 can directly target NOD1. The introduction of miR-495 could significantly inhibit the high glucose-activated NF-κB and TGF-β1/Smad signaling pathways. Conclusion: Upregulation of miR-495 ameliorates the high glucose-induced inflammatory, cell differentiation and extracellular matrix accumulation of human CFs by modulating both the NF-κB and TGF-β1/Smad signaling pathways through downregulation of NOD1 expression. These results provide further evidence for the protective effect of miR-495 overexpression in cases of high glucose-induced cardiac fibrosis.
Soil microbial biomass and enzyme activities have an important influence on nutrient cycling. The temporal variation in soil microbial biomass C, N, and enzyme activities during the growing season were determined under three different alpine grasslands in Northern Tibet. The results showed that soil microbial biomass C, and N contents and enzyme activities of the alpine meadow (AM) and the alpine meadow steppe (AMS) sites were much higher than those of the alpine steppe (AS) site. Soil microbial biomass C, N variations were not significantly correlated with the soil temperature and moisture, except that microbial biomass N seemed associated with the microsite where soil temperature was higher. Our results demonstrate that soil temperature was one of most important factors explaining the seasonal variation of microbial biomass N, but how the alpine grassland ecosystem's type affects microbial biomass C, N and enzyme activity are still needed to be clarified by determining other correlative ecological factors and covering prolonged observation periods.
Accurate short-term power load forecasting is becoming more and more important for the stable operation and improved economic benefits of electric power systems. However, when affected by various factors the power load shows non-linear and non-stationary characteristics. In order to forecast power load precisely, we propose an extreme learning machine (ELM) combined with variational mode decomposition (VMD), as a new hybrid time series forecasting model. In the first stage, since decomposed modes and hidden layer nodes have great influence on prediction accuracy, a three-dimensional relationship has been established to determine them in advance. In the second stage, using VMD, the time series of power load is decomposed into predetermined modes that are then used to construct training parts and forecast outputs. Then every individual mode is taken as an input data to the ELM. Eventually, in the third stage, the final forecasted power load data is obtained by aggregating the forecasting results of all the modes. To testify the forecasting performance of the proposed model, a five-minute power load data in Hebei of China is used for simulation, and comprehensive evaluation criteria is proposed for quantitative error evaluation. Simulation results demonstrate that the proposed model performs better than some previous methods.
Breast cancer is the most prevalent cancer among women in the world, with a notable increasing prevalence in recent decades. Many environmental compounds with estrogenic activity, called environmental estrogens (EEs), which are especially persistent organic pollutants, may play important roles in the occurrence and development of breast cancer and even treatment and prognosis. EE compounds, including bisphenol A, nonylphenol, phthalates, perfluorooctane sulfonate, polybrominated diphenyl ethers, dioxins, and polychlorinated biphenyls, result from industrial manufacturing and exist ubiquitously in the human environment. With the aggravation of environmental pollution, these compounds are residual in all kinds of environmental matrices – especially in industrialized countries. Humans are frequently exposed to them through various pathways, including body contact, inhalation, diet, household products, dust, and cosmetics. They have been detected in many types of human specimens. Their persistence in environmental matrices and humans has aroused global attention because of their effect on public health, especially the occurrence of breast cancer. In this review, we focus on recent research of these seven familiar EEs in industrial pollutants to provide insight into the evidence for risk of breast cancer with exposure to environmental estrogen-like chemicals and to provide clues for prevention and control of breast cancer.
The instrumentation of anterior vertebral body screws has become an important approach for the treatment of unstable fractures or curvature of the spine, but little attention has been paid to the starting point of placing the screws and the variability of the rib head position. We analysed the variability of rib head position in a Chinese population in terms of the spinal canal and vertebral body using computed tomography (CT). Images from transverse CT scans of the T4–T12 vertebral bodies of 30 normal individuals were 3-D reconstructed and analysed for measurement of parameters which included: 1) distance between the left (or right) anterior border of the rib head and the posterior (or anterior) margin of the vertebral body [L(R)ARHP(A)VB]; 2) left (or right) transverse dimension [L(R)TD]; 3) left (or right) posterior (or anterior) safe angle [L(R)P(A)SA]; and 4) distance between the inferior border of the left (or right) rib head and the superior (or inferior) end-plate in the sagittal plane [I L(R)RHS(I)EP]. The ARHPVB, PSA, and IRHIEP gradually decrease, but ARHAVB, TD, ASA, and IRHSEP gradually increase, from T4 to T12, indicating that the position of the rib head changes from a more anterior position to a more posterior position and from a more superior position to a more inferior position, as the number of the vertebra increases. Our study has provided a comprehensive reference guide for accurate and safe instrumentation of vertebral body screws in treating related spine diseases. (Folia Morphol 2010; 69, 4: 232–240)
Galanthamine is used as a strong reversible inhibitor of cholinesterase to increase acetylcholine sensitivity. Here, we sought to determine the effect of nitrogen (N) application on physiological and proteomic properties of Lycoris aurea (L. aurea) in order to explore the factors that influence galanthamine biosynthesis. A marked increase in plant growth was observed under absent nitrogen condition (0 mmol L-1 N), while a clear stunting of growth was seen under high nitrogen condition (3.57 mmol L-1 N). Levels of photosynthetic pigments also showed a preference for the absent nitrogen condition. The leaves and roots of absent nitrogen plants had significantly higher galanthamine content and lower contents of free amino acids and proline compared with those of control (0.75 mmol L-1 N). On the other hand, galanthamine content in L. aurea was significantly reduced with high nitrogen treatment. However, the contents of free amino acids and proline were increased with high nitrogen application, suggesting that these play important roles in the storage of nitrogen in L. aurea. Next, we carried out proteomic analysis of the leaves, bulbs and roots of L. aurea treated with nitrogen by two-dimensional gel electrophoresis. Using comparative proteomic strategies, we found 11 proteins that showed significant differences among the three groups. These proteins are involved in a variety of cellular processes including energy metabolism, scavenging oxygen free radicals, cytoskeleton stabilization, galanthamine biosynthesis and cellular homeostasis. Out of the 11 proteins, the level of phenylalanine ammonia-lyase was found to correlate with that of galanthamine biosynthesis.
Using the ARDL test and Granger approaches, this paper investigates long-term co-integration and causal relationships among nuclear, renewables, GDP and CO2 emissions in China, US, France and Japan. The findings reveal that the long-term coefficient of nuclear energy is smaller than renewable energy, indicating a relative advantage of nuclear power. However, the emission reduction effect of nuclear and renewables in China was not as much as compared to other nations. Moreover, causality from economic growth to nuclear or renewable energy existed in all countries, whereas no causality from nuclear energy to economic growth existed except in Japan. Therefore, giving priority to energy conservation and energy mix optimization is not likely to hurdle economic growth in China. However, greenness of the overall energy production process, augmentation of energy efficiency, technological progress in energy storage and internet, sustainable development of resource-society, and nuclear safety issues should be given priority in order to contribute to low-carbon growth in China.
A Pressure-State-Response (PSR) framework was developed to realize a holistic health assessment of the Ulansuhai Lake in the Inner Mongolia. A total of 25 indicators including ecological character indicators, ecological function indicators and social environment indicators were organized to assess the lake ecosystem health. The Ulansuhai Lake was regionalized into three sub-regions (I, II, and III) in the consideration of ecological and environmental characters the lake. Results indicate the lake is in the state of Alert or Worse. The comprehensive health indices (CHI) of three sub-regions are 0.346, 0.385, and 0.445, respectively, reflecting obvious regional differences in ecosystem health of the lake. The current study may provide useful information for valid wetland restoration and management
Accurate precipitation data are of great importance for environmental applications. Interpolation methods are usually applied to afford spatially distributed precipitation data. However, due to the scarcity of rain gauges, different spatial interpolation methods may result in deviations from the real spatial distribution of precipitation. In this study, three different interpolation methods were investigated with regard to their suitability for producing a spatial precipitation distribution on China’s Tibetan Plateau. Precipitation data from 39 rain gauges were spatially interpolated using ordinary kriging, cokriging with covariates as elevation (Cok-elevation), and cokriging with covariates as tropical rainfall measuring mission (Cok-TRMM). The results showed that the mean absolute error (MAE), mean relative error (MRE), and root mean square error (RMSE) for Cok-TRMM amounted to 103.85 mm, 0.32, and 134.50 mm, respectively. These numbers were lower than the figures for ordinary kriging (MAE 111.01 mm, MRE 0.34, RMSE 144.86 mm) and Cok-elevation (MAE 111.43 mm, MRE 0.34, RMSE 144.35 mm). In addition, the correlation coeffi cient between observed and predicted values of Cok-TRMM (r² = 0.53) was higher than that for ordinary kriging (r² = 0.46) and Cok-elevation (r² = 0.46). Our results demonstrate that Cok-TRMM is more effective at producing a spatial precipitation distribution on the Tibetan Plateau and can serve as a new spatial interpolation method for precipitation in data-scarce regions.
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