面向突发事件的电网韧性能力评价及构建方法

近年来,我国对电力系统面对突发事件时的性能表现提出了更为严格的要求,利用韧性的概念构建电网系统能够实现应急全周期内避免损失.文章利用应急管理理论分阶段刻画韧性的特征,在描述突发事件下电网韧性能力的同时提出了一种定量评价电网韧性的方法,它侧重于电网在突发事件发生后随着时间的推移维持稳定、抵抗中断、恢复性能的调整能力:利用给出的韧性评价指数结合电网特有的包括运行模式、组件物理强度和网络拓扑结构在内的电网特征,针对性地描述了能够增强电网韧性的措施.最后举例选取N-1准则措施利用PSCAD软件进行仿真模拟,利用韧性评价指数说明N-1措施能够增强电网韧性的同时,验证了韧性评价指数的合理性.电网实例引用IEEE14节点模型.     

双前桥重型汽车轴间距及操纵稳定性分析

分析了双前桥重型汽车轴间距与轮胎载荷的关系,建立了双前桥重型汽车平面运动微分方程,得到该车型稳态横摆角速度增益和稳定性因素表达式;提出了保证轮胎均载和整车具有不足转向特性应满足的条件;分析结果为双前桥重型汽车轴距合理布置提供了理论依据。     

基于HMM的多维数据下扶贫对象状态预测

针对扶贫领域中贫困、脱贫和返贫状态预测不准确,影响状态变迁的关键因素难以识别的问题,从扶贫基础数据和多个行业数据中提取8个关键特征和22个观测状态,构建观察状态和隐含状态关联关系,建立扶贫对象状态预测隐马尔可夫模型(hidden markov model,HMM)。以某深度贫困县连续3年的数据为样本,进行参数训练、测试实验和结果验证,结果表明该方法对返贫、贫困和脱贫状态有较强的预测能力,误差率较低,且能准确识别出影响返贫的关键要素。该方法对指导精准扶贫工作具有非常重要的实际意义。     

基于CPN的智能合约交易顺序依赖漏洞的验证

智能合约的形式化验证工作主要集中在编程语言层面的漏洞研究,而交易顺序依赖作为区块链层面的漏洞更不易被检测。基于着色Petri网对智能合约中潜在的交易顺序依赖漏洞进行形式化验证。以Decode悬赏合约为对象,分析合约中潜在的漏洞,自顶向下地对合约本身及其执行环境建立着色Petri网模型,并引入攻击者模型来考虑合约遭受攻击的情况。通过运行模型以验证合约存在交易顺序依赖漏洞,最后基于Remix平台在以太坊网络中证实结论的正确性。     

稻草还田少免耕对稻田土微生物及酶活性的影响

为探明少免耕和稻草覆盖对土壤生物特征的影响,合理利用稻草覆盖及耕作制度来保障土壤的可持续利用,研究了33％（约2500ks／hm^2）、67％（约5000kg／hm^2）、100％（约7500kg/hm^2）稻草覆盖少免耕对稻田土微生物区系及活性的影响。定位试验2年后,少免耕与稻草覆盖提高了稻田土好气性细菌数量、真菌数量和微生物活度,但厌气性细菌和放线菌的数量则略减少。33％和67％稻草还田时,翻耕土壤的好气性细菌和厌气性细菌数量均高于免耕和少耕土壤。33％稻草还田时,免耕和少耕土壤的放线菌和真菌数量均高于翻耕土壤。同时,少免耕提高了土壤木聚糖酶、纤维素酶、蛋白酶、脲酶、过氧化氢酶的活性,也提高了土壤微生物活度、氨化作用强度和硝化作用强度。少量稻草还田少耕要优于少量稻草还田翻耕和免耕。     

三峡水库二期蓄水初期螺山站水位流量变化响应

三峡工程二期蓄水对坝下游江段水情的变化产生了一定的影响.在水库蓄水的初期阶段,分析螺山江段水位流量的变化响应,采用综合落差指数法描述了该河段水位流量关系的变化,并通过同流量水位法初步撂悉了访河段近几年河床冲淤变化情况.结果表明,水库蓄水后.枯水期该站月径流量占径流量的百分比上升了0.43%,丰水期和平水期分别下降了0.2%和0.23%;从该站水位距平值来看,枯水期有所上升,丰水期和平水期均有所下降.时该站水位流量关系进行单值化处理后,发现蓄水后水位流量关系曲线较蓄水前偏左.同时,同流量下水位的变化也反映了该河段泥沙冲淤情况,对此本文作了初步探悉,发琨在同一江段的不同时段都有冲淤的变化.     

燃料电池气、水、热平衡分析及综合管理系统设计

建立了质子交换膜燃料电池系统的气、水和热平衡计算模型,总结了电堆气、水和热管理相关物理量的计算方法;以60kW电堆为例计算分析,认为气、水、热管理三者有着密切的联系,应建立综合管理的概念;设计了气、水、热综合管理系统,该系统充分回收利用了电堆的尾气、电化学反应生成的水和电堆产生的热量。     

PPAR γ partial agonist, KR-62776, inhibits adipocyte differentiation via activation of ERK

Indenone KR-62776 acts as an agonist of PPARγ without inducing obesity in animal models and cells. X-ray crystallography reveals that the indenone occupies the binding pocket in a different manner than rosiglitazone. 2-Dimensional gel-electrophoresis showed that the expression of 42 proteins was altered more than 2.0-fold between KR-62776- or rosiglitazone-treated adipocyte cells and control cells. Rosiglitazone down-regulated the expression of ERK1/2 and suppressed the phosphorylation of ERK1/2 in these cells. However, the expression of ERK1/2 was up-regulated in KR-62776-treated cells. Phosphorylated ERK1/2, activated by indenone, affects the localization of PPARγ, suggesting a mechanism for indenone-inhibition of adipogenesis in 3T3-L1 preadipocyte cells. The preadipocyte cells are treated with ERK1/2 inhibitor PD98059, a large amount of the cells are converted to adipocyte cells. These results support the conclusion that the localization of PPARγ is one of the key factors explaining the biological responses of the ligands. Received 04 March 2009; received after revision 13 March 2009; accepted 17 March 2009     

单轴晶体平板与各向同性介质平板间的Casimir力

在量子表面模式方法的基础上,计算单轴晶体平板与各向同性介质平板间的Casimir力.在延迟条件下,给出了两平板间Casimir力的解析表达式.此Casimir力的主要部分与两相同半无限大各向同性介质平板间Casimir力相同,附加项与单轴晶体光轴与x轴夹角的三角函数相关.     

Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes

Genome-wide association (GWA) studies have identified multiple loci at which common variants modestly but reproducibly influence risk of type 2 diabetes (T2D). Established associations to common and rare variants explain only a small proportion of the heritability of T2D. As previously published analyses had limited power to identify variants with modest effects, we carried out meta-analysis of three T2D GWA scans comprising 10,128 individuals of European descent and approximately 2.2 million SNPs (directly genotyped and imputed), followed by replication testing in an independent sample with an effective sample size of up to 53,975. We detected at least six previously unknown loci with robust evidence for association, including the JAZF1 (P = 5.0 x 10(-14)), CDC123-CAMK1D (P = 1.2 x 10(-10)), TSPAN8-LGR5 (P = 1.1 x 10(-9)), THADA (P = 1.1 x 10(-9)), ADAMTS9 (P = 1.2 x 10(-8)) and NOTCH2 (P = 4.1 x 10(-8)) gene regions. Our results illustrate the value of large discovery and follow-up samples for gaining further insights into the inherited basis of T2D.