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The endothelial nitric oxide synthase (eNOs) expression in endothelial cells from normal and preeclamptic pregnancies are determined to investigate the potential role of eNOs in regulating endothelial permeability in preeclampsia. The messenger RNA and eNOs expression are decreased in endothelial cells from preeclampsia and the inhibition of eNOs activity has increased the endothelial permeability.

To document the therapeutic effects of Feiwei granules (FGs) for idiopathic pulmonary fibrosis (IPF).

Synchrotron radiation (SR) direct micromachining of polymers was developed and high-aspect-ratio microparts of polytetrafluoroethylene (PTFE) were made. The limitation of critical dependence on the photon flux was eliminated by processing PTFE at a temperature of 200-250°C, so that the process was greatly simplified and the aspect-ratios were improved with reducing the smallest surface detail to less than ten microns and achieving the largest structural height of one thousand microns. The decomposition mechanism was discussed with a comparison between the SR micromachining and laser ablation.

Reports on the increase of childless, dual-income married couples in China. High level of education; Having no children as a manifestation of marriage; Increase in divorces; Pressure encountered by childless couples from friends and families; Defense of childless households by Chinese sociologists and marriage experts; Lifestyle and family choices through a multi-functional society.

Granular computing (GrC) is a problem-solving concept deeply rooted in human thinking. GrC, as a new and rapidly growing paradigm of information processing, has attracted the attention of many researchers and practitioners. GrC is related to granulation, i.e., a process of drawing a set of objects (or points) together based on their indiscernibility, similarity, proximity, or functionality. In general, two types of granulation processes exist: functional granulation and relational granulation. If the process is based entirely on the attributes of the objects, it is known as functional granulation, whereas if the granulation process is based on the relationship between objects, it is known as relational granulation. This paper proposes a novel method, called the maximum flow based on Quotient Space Theory (M F − Q S T), for solving the maximum flow problems based on Quotient Space Theory for relational granulation. Using the method M F − Q S T , substructures are first detected, and the community is described as a substructure. Next, the relational granulation criterion is discussed in detail. The substructure that satisfies the relational granulation criterion is regarded as a coarse-grained node. Subsequently, the construction of a quotient network that is coarser than the original network is described. Finally, the maximum flow algorithm is used to compute the maximum flow on the quotient network as the approximated maximum flow on the original network within a much shorter period of time. Experimental results demonstrate that the novel method M F − Q S T reduces the cumulative running time after simplifying the network structure with a low error rate. The size of the quotient network is significantly reduced, and the node and edge scales are reduced to 20.59% and 21.62% on average, respectively. [ABSTRACT FROM AUTHOR]