吸附制冷系统中吸附床的传热传质分析及结构设计

对化学吸附制冷系统中吸附剂颗粒之间以及整个吸附床的传热传质特性进行了分析，并总结了目前国内外强化吸附床传热传质性能的主要措施和方法．分析比较了两种用于化学吸附制冷的典型吸附床结构，在此基础上设计了一种新型的吸附床．     

肌肉自发振动过程中结合几率与化学反应速率的变化

定量分析肌球蛋白与肌动蛋白丝的结合几率及相关化学反应的速率常数,对于准确掌握肌肉收缩的内在机制具有非常重要的意义.以肌肉自发振动的实验结果为依据,从振动过程所满足的动力学方程出发,推导出结合几率与肌丝滑行速度及肌节长度之间的定量关系,并求得化学反应速率随肌肉收缩的速度变化而改变的数学规律.结果显示,结合几率的基准值由溶液中主要化学成分的浓度决定;结合几率的变化值与肌肉收缩的速度成正比,与肌节长度成反比;而化学反应速率随收缩速度按指数规律变化.上述结果与实验值基本一致.     

Small molecule activators of SIRT1 as therapeutics for the treatment of type 2 diabetes

Calorie restriction extends lifespan and produces a metabolic profile desirable for treating diseases of ageing such as type 2 diabetes. SIRT1, an NAD+-dependent deacetylase, is a principal modulator of pathways downstream of calorie restriction that produce beneficial effects on glucose homeostasis and insulin sensitivity. Resveratrol, a polyphenolic SIRT1 activator, mimics the anti-ageing effects of calorie restriction in lower organisms and in mice fed a high-fat diet ameliorates insulin resistance, increases mitochondrial content, and prolongs survival. Here we describe the identification and characterization of small molecule activators of SIRT1 that are structurally unrelated to, and 1,000-fold more potent than, resveratrol. These compounds bind to the SIRT1 enzyme-peptide substrate complex at an allosteric site amino-terminal to the catalytic domain and lower the Michaelis constant for acetylated substrates. In diet-induced obese and genetically obese mice, these compounds improve insulin sensitivity, lower plasma glucose, and increase mitochondrial capacity. In Zucker fa/fa rats, hyperinsulinaemic-euglycaemic clamp studies demonstrate that SIRT1 activators improve whole-body glucose homeostasis and insulin sensitivity in adipose tissue, skeletal muscle and liver. Thus, SIRT1 activation is a promising new therapeutic approach for treating diseases of ageing such as type 2 diabetes.     

A decision rule to minimize daily capital charges in forecasting value‐at‐risk

Under the Basel II Accord, banks and other authorized deposit‐taking institutions (ADIs) have to communicate their daily risk estimates to the monetary authorities at the beginning of the trading day, using a variety of value‐at‐risk (VaR) models to measure risk. Sometimes the risk estimates communicated using these models are too high, thereby leading to large capital requirements and high capital costs. At other times, the risk estimates are too low, leading to excessive violations, so that realized losses are above the estimated risk. In this paper we analyze the profit‐maximizing problem of an ADI subject to capital requirements under the Basel II Accord as ADIs have to choose an optimal VaR reporting strategy that minimizes daily capital charges. Accordingly, we suggest a dynamic communication and forecasting strategy that responds to violations in a discrete and instantaneous manner, while adapting more slowly in periods of no violations. We apply the proposed strategy to Standard & Poor's 500 Index and show there can be substantial savings in daily capital charges, while restricting the number of violations to within the Basel II penalty limits. Copyright © 2009 John Wiley & Sons, Ltd.     

青海省唐古特铁线莲指纹图谱的构建

[目的]建立青海省唐古特铁线莲中齐墩果酸成分HPLC指纹图谱,为其质量控制提供方法学依据.[方法]采用HPLC法建立唐古特铁线莲中齐墩果酸指纹图谱,标示其共有峰与特征峰,进行相似度评价.[结果]通过对10批唐古特铁线莲药材的测定,标定15个共有峰和12个非共有峰,建立了测试样品的HPLC指纹图谱.[结论]该方法准确、稳定、可靠,可用于唐古特铁线莲的质量研究和评价.     

Functional cartography of complex metabolic networks

High-throughput techniques are leading to an explosive growth in the size of biological databases and creating the opportunity to revolutionize our understanding of life and disease. Interpretation of these data remains, however, a major scientific challenge. Here, we propose a methodology that enables us to extract and display information contained in complex networks. Specifically, we demonstrate that we can find functional modules in complex networks, and classify nodes into universal roles according to their pattern of intra- and inter-module connections. The method thus yields a 'cartographic representation' of complex networks. Metabolic networks are among the most challenging biological networks and, arguably, the ones with most potential for immediate applicability. We use our method to analyse the metabolic networks of twelve organisms from three different superkingdoms. We find that, typically, 80% of the nodes are only connected to other nodes within their respective modules, and that nodes with different roles are affected by different evolutionary constraints and pressures. Remarkably, we find that metabolites that participate in only a few reactions but that connect different modules are more conserved than hubs whose links are mostly within a single module.