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The growth of cities is one of the most important global phenomena, which is occurring under the influence of environmental factors on the human, economic and political, and giving services to citizens and the city are of the priorities of the urban planners and managers. To accomplish this, a variety of techniques have been used both classical and modern. Since the 1970s, the use of quantitative methods in problems locating utilities increased and each of these methods in addition to the advantages and disadvantages in this field is used to study how the spatial distribution centers in Range, South of Tehran has been studied as the case the system uses a multi -criteria analysis. The issue of site selection, service, and service centers in the city is better. The purpose of this study is locating the appropriate municipal hospital in south of Tehran, is analytical and descriptive methods and the type of application. To achieve this objective the integration of GIS and hierarchical method (AHP) and GIS was used, the required layers, including the proximity to compatible land uses, access to the communication network, proximity to fire stations, population density, distance from the existing medical centers, away from the path, away from fuel stations, distance learning centers, land slope, proximity to the city center and close to green areas in GIS environment and then paired comparisons were performed by Expert choice software finally, by weighting the criteria and by combining layers of information, the most suitable place to build a city hospital was located in this area.

Background: Placental growth factor is involved in human gastric cancer initiation and progression through stimulating the proliferation, angiogenesis, invasion and metastasis of cancerous cells. Previous studies indicate that the expression profiles of hsa-miR-22-3p, hsa-let-7b-3p, hsa-miR-451b, and hsa-mir-4290 change in MKN-45- derived gastric cancer stem-like cells. Therefore, this study aims to investigate the effect of PlGF knockdown on hsa-miR-22-3p, hsa-let-7b-3p, hsa-miR-451b, and hsa-mir-4290 expressions in MKN-45-derived gastric cancer stem-like cells. Methods: We used a non-adhesive culture system to derive the cancer stem-like cells from MKN-45 cells. PlGF gene silencing was performed by PlGF-specific siRNA. The transcript of PlGF and miRNAs were measured by real-time RT-PCR. We conducted bioinformatics analyses with the online software programs TargetScan, miRanda, miRWalk, PicTar, and the Database for Annotation, Visualization, and Integrated Discovery tools to predict miRNAs’ targets and their signaling pathways. Results: hsa-let-7b-3p had a 2.28-fold up-regulation, whereas we observed downregulation of hsa-mir-451b (25%), hsa-mir-4290 (34%), and hsa-mir-22-3p (9%). Bioinformatics analysis results indicated that the miRNA target genes TGF-β, MAPK, and Wnt, and hedgehog signaling pathways contributed to cancer initiation and progression by influencing different cellular behaviors. Conclusion: We suggest that PlGF signaling may influence miRNA expression profiles in MKN-45-derived cancer stem-like cells, which can influence the expressions of different genes and signaling pathways. However, more empirical studies should determine the exact effect of PlGF knockdown on the expression of miRNA targets in cancer stem-like cells to locate their actual gene targets.