The impact of climate change on global energy use

Robust decision making, a growing approach to infrastructure planning under climate change uncertainty, aims to evaluate infrastructure performance across a wide range of possible conditions and identify the most robust strategies and designs. Robust decision making seeks to find potential weaknesses in systems in order to gird these through a combination of policy, infrastructure, and, in some cases, resilient or recovery strategies. A system can be explored by simulating many combinations of uncertain climatic and economic parameters; statistical clustering can identify parameter thresholds that lead to unacceptable performance. Often, however, uncertain variables are correlated, complicating the robustness analysis and casting doubt upon the thresholds identified. Here, we evaluate the impact of ordinary, hidden correlations in uncertainty parameters that drive simulation in robust decision making. We induced correlations between temperature and key climatic and economic parameters. We tested correlations of 0%, 30%, 60%, and 90% between temperature and the absolute value of precipitation, coefficient of variation, and downward surface solar radiation, and negative correlations between temperature and net variable benefit and the discount rate. We used a calibrated simulation model of a dam system regulating Lake Tana, Ethiopia, to compute the agricultural supply and net present value of the reservoirs. As the correlation strength increased, the results converged in a smaller region. We found that strong correlations depressed robustness scores of lower-performing alternatives and conversely increased results of the higher-performing alternatives. As the correlations increased in favorable alternatives, the failure thresholds became more extreme, speciously suggesting that only intense changes would result in poor performance. This overall analysis highlights the degree to which correlations of an interconnected climatic and economic system can impact outcomes of robust decision making and suggests methods to avoid confounding results.

     

电信息采集系统采集率问题分析

针对固原电网用电信息采集系统改造过程出现的问题,从集中器与主站召测数据有误和集中器与采集终端召测有误两方面进行分析,找出系统改造后,上线采集率偏低的原因并提出具体解决措施。应用结果表明:用电信息采集率由原来的80%以下提高到95%以上,有效提高了信息采集的效率。     

Fabrication of Salinomycin and Biotin Encapsulated Polymeric Nanoparticles Showing Potent Antiproliferative Activity and Induce Apoptosis in Gastric Carcinoma Cells

Cytotoxicity can be much greater than all other treatments by targeted combination chemotherapy. In this context, we have recognized the use for gastric cancer chemotherapy of multifunctional polymer nanoparticles (PNPs) loaded with Salinomycin (SAL) and Biotin (BT). The encapsulation of BT and SAL anticancer agents co-loaded with polyethylene glycol (PEGs) and nanoparticles of polylactide-co-glycolides (PLGAs) is incompetent due to inadequacy in polymeric biodegradable nanoparticles (PNPs) of the dual antitumor drugs BT and SAL. The morphology of the BT@PNPs, SAL@PNPs and SAL/BT@PNPs, and composition and sizes of the nanoparticles was investigated using a transmission electron microscopy (TEM). In vitro cell death of human gastric cell lines including SGC-791 and NCI-N87 has also been caused by SAL/BT@PNPs. A variety of biochemical stains, for example, AO/EB (Acridine Orange / Ethidium Bromide) and Hoechst, have been used to detect morphological and cell death. The mechanical examination of apoptosis was further tested using the Annexin V-FITC flow cytometry. In overall, SAL/BT@PNPs may be used as a possible instrument for enhanced gastric cancer therapy efficacy in this dual approach to drug delivery.