A Method for Distributed Generator Dispatch Strategy in Distribution Network

Since a load of power system changes continuously,the generation also adjusted for supply-demand balance purpose.If there exist more distributed generators in the distribution network,the dispatch strategy becomes more crucial.The possibility of having numerous controllable microgrids,diesel generator(DG)units and loads for microgrids(MGs)system requires an efficient dispatch strategy in order to balance supply demand for reducing the total cost of the integrated system.In this paper,a method for the dispatch of the distributed generator in distributed power systems has been proposed.The dispatch strategy is such that it keeps a flat voltage profile,reduces the network losses,increases the maximum loading and voltage security margin of the system.The procedure is based on the analysis of continuous power flow.The method is executed on a 34-bus test system.The MATLAB based PSAT packages are used for simulation purpose.

Identification of Key Genes as Potential Drug Targets for Gastric Cancer

Gastric cancer(GC)is one of the most common cancers and ranks the third in cancer mortality all over the world.The goal of this study was to identify potential hub-genes,highlighting their functions,signaling pathways,and candidate drugs for the treatment of GC patients.We used publicly available next generation sequencing(NGS)data to identify differentially expressed(DE)genes.The top DE genes were mapped to STRING database to construct the protein-protein interaction(PPI)network and top hub genes were selected for further analysis.We found a total of 1555 DE genes with 870 upregulated and 685 downregulated genes in GC.We selected the top 400(200 upregulated and 200 downregulated)genes to construct a PPI network and extracted the top 15 hub genes.The gene ontology(GO)term and kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analyses of the 15 hub genes exposed some important functions and signaling pathways that were significantly associated with GC patients.The survival analysis of the hub genes disclosed that the lower expressions of the three hub genes CDH2,COL4A1,and COL5A2 were associated with better survival of GC patients.These three genes might be the candidate biomarkers for the diagnosis and treatment of GC.Then,we considered 3 key proteins(genomic biomarkers)(COL4A1,CDH2,and CO5A2)as the drug target proteins(receptors),performed their docking analysis with the 102 meta-drug agents,and found Everolimus,Docetaxel,Lanreotide,Venetoclax,Temsirolimus,and Nilotinib as the top ranked 6 candidate drugs with respect to our proposed target proteins for the treatment against GC patients.Therefore,the proposed drugs might play vital role for the treatment against GC patients.