Characterization of spatial and temporal correlation between ecosystem service and human activity intensity in Xinjiang, China based on supply and demand.

The balance between supply and demand of ecosystem services in arid zones is crucial for regional sustainable development. Taking Xinjiang as the study area, we analyzed the spatial and temporal variations of the supply and demand of food production, habitat quality, carbon storage, soil conservation, water yield and greenfield leisure in relation to the intensity of human activities during 2000-2020 by using bivariate spatial autocorrelation method. The results showed that from 2000 to 2020, the six ecosystem services in the study area were in a state where their supply was far greater than demand (supply/demand ratio>1).

Integrated Analyses to Identify the Roles of in Frailty and Hypertension.

Background: With aging, frailty and hypertension become increasingly prevalent comorbidities in the older population. Therefore, the aim of the study is to identify effective druggable targets for these conditions.

Methods: We performed a two-sample Mendelian randomization analysis to assess the causal effects of 2532 druggable genes on frailty, hypertension, systolic blood pressure and diastolic blood pressure.

[Spatial distribution characteristics of the physical and chemical properties of water in the Kunes River after the supply of snowmelt during spring].

Eight physical and chemical indicators related to water quality were monitored from nineteen sampling sites along the Kunes River at the end of snowmelt season in spring. To investigate the spatial distribution characteristics of water physical and chemical properties, cluster analysis (CA), discriminant analysis (DA) and principal component analysis (PCA) are employed. The result of cluster analysis showed that the Kunes River could be divided into three reaches according to the similarities of water physical and chemical properties among sampling sites, representing the upstream, midstream and downstream of the river, respectively; The result of discriminant analysis demonstrated that the reliability of such a classification was high, and DO, Cl- and BOD5 were the significant indexes leading to this classification; Three principal components were extracted on the basis of the principal component analysis, in which accumulative variance contribution could reach 86.

Identification of a novel nuclear-localized adenylate kinase 6 from Arabidopsis thaliana as an essential stem growth factor.

Adenylate kinase (AK; EC 2.7.4.