基于指标自动筛选的新疆开孔河流域生态健康评价

生态健康评价对了解区域生态健康状况和促进区域可持续发展具有重要意义,如何自动筛选出能反映生态系统特性的重要指标,是生态健康定量评估的关键问题。基于压力-状态-响应(PSR,Press-State-Response)框架和生态等级网络框架(EHN,Ecological Hierarchy Network),通过文献调研和因果分析建立要素层与指标层之间的交叉联系,构建了生态健康评价"网状"指标体系;在保证指标体系完备性基础上,通过结合主成分分析和熵权法的候选指标权重的客观计算,基于目标优化理论构建了评价指标的自动筛选模型,并基于中选指标计算了新疆开孔河流域2001—2017年生态健康指数(EHCI,Ecological Health Comprehensive Indexes),分析其空间分异和时间变化特征。结果表明:利用所建立的评价指标自动筛选模型,开孔河流域生态健康评价指标由31个候选指标自动筛选出了17个中选指标,用54.8%的指标表达了85.98%的信息,中选的17个指标在干旱/半干旱区域有关文献中应用较多,使用频次比例都在20%以上,其中归一化植被指数(NDVI,Normalized Difference Vegetation Index)、年降水量和植被覆盖度(FVC,Fractional Vegetation Coverage)3个指标的使用频次百分比均超过了50%,说明指标自动筛选模型的合理性;开孔河流域空间分布差异显著,总体上西北高、东南低,东南部和中部绿洲区外围生态健康状况较差,西北部河谷地带和中部两大绿洲区生态健康状况较好;17年来,流域生态质量整体趋于改善,显著改善区域占10.26%,远高于显著退化的1.61%,显著改善区域以孔雀河绿洲最为明显。开孔河流域生态健康的总体好转趋势说明区域生态综合治理取得一定成效。     

Advances in endophenotyping schizophrenia

The search for the genetic architecture of schizophrenia has employed multiple, often converging strategies. One such strategy entails the use of tracing the heritability and neurobiology of endophenotypes. Endophenotypes are quantifiable traits not visible to the eye, which are thought to reflect an intermediate place on the path from genes to disorder. Endophenotype abnormalities in domains such as neurophysiology or neurocognition occur in schizophrenia patients as well as their clinically “unaffected” relatives, and reflect polymorphisms in the DNA of schizophrenia spectrum subjects which create vulnerability to developing schizophrenia. By identifying the single nucleotide polymorphisms (SNPs) associated with endophenotypes in schizophrenia, psychiatric neuroscientists can select new strong inference based molecular targets for the treatment of schizophrenia.     

野大豆(Glycine soja)叶绿体的光谱及其激子能量转移

野大豆叶绿体在低温(77K)时出现三条荧光发射谱带,它们来源于不同的色素蛋白复合体。 在纳秒脉冲激光激发下,捕光天线色素的相对荧光量子产额,随激光强度的增加有明显下降现象。用激子理论和动力学方程讨论和计算了激子扩散参量。指出激子转移是随机的,非相干的。     

Yeast diadenosine 5',5'-P1,P4-tetraphosphate alpha,beta-phosphorylase behaves as a dinucleoside tetraphosphate synthetase

The diadenosine 5',5'-P1,P4-tetraphosphate alpha,beta-phosphorylase (Ap4A phosphorylase), recently observed in yeast [Guaranowski, A., & Blanquet, S. (1985) J. Biol. Chem. 260, 3542-3547], is shown to be capable of catalyzing the synthesis of Ap4A from ATP + ADP, i.e., the reverse reaction of the phosphorolysis of Ap4A. The synthesis of Ap4A markedly depends on the presence of a divalent cation (Ca2+, Mn2+, or Mg2+). In vitro, the equilibrium constant K = ([Ap4A][Pi])/[(ATP][ADP]) is very sensitive to pH. Ap4A synthesis is favored at low pH, in agreement with the consumption of one to two protons when ATP + ADP are converted into Ap4A and phosphate. Optimal activity is found at pH 5.9. At pH 7.0 and in the presence of Ca2+, the Vm for Ap4A synthesis is 7.4 s-1 (37 degrees C). Ap4A phosphorylase is, therefore, a valuable candidate for the production of Ap4A in vivo. Ap4A phosphorylase is also capable of producing various Np4N' molecules from NTP and N'DP. The NTP site is specific for purine ribonucleotides (N = A, G), whereas the N'DP site has a broader specificity (N' = A, C, G, U, dA). This finding suggests that the Gp4N' nucleotides, as well as the Ap4N' ones, could occur in yeast cells.