Spatial Semi-Parametric Bootstrap Method for Analysis of Kriging Predictor of Random Field

AbstractIn the spatial statistics it is often assumed that the data follow a Gaussian random field. Efron introduced bootstrap method for independent data analysis (IIDB) but it can not be applied in spatial data analysis because of dependency of observations. In this paper, an algorithm is given for spatial semi-parametric bootstrap (SSPB) method to estimate the precision measures of plug-in kriging predictor of random field. We also compare IIDB and SSPB methods for analysis of plug-in kriging predictor in a Monte-Carlo simulation study. Finally, we use SSPB method for analysis of finite strain data in geology. © 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [name organizer

Spatial Analysis Of Three Agrichemicals In Groundwater Of Isfahan Using GS+

The purpose of this study was to undertake a spatial analysis of total organic carbon, electrical conductivity and nitrate, in order to produce a pollution dispersion and prediction map for the investigated area in the province of Isfahan in Iran. The groundwater samples were collected from a zone as a pilot study area of 80 km2, including 25 water wells, based on the criteria of vulnerability assessment projects, that is, about one well per 3 km2, during four seasons in 2008-09. In order to make any inferences about the areas that did not have well data, a statistical relationship between explanatory total organic carbon, electrical conductivity and nitrate variables related to well coordination was developed. The probability of the presence of elevated levels of the three compounds in the groundwater was predicted using the best-fit variogram model. According to spatial analysis, the highest R2=0.789 achieved was related to electrical conductivity and followed the exponential model with 0.266 for NO3- (spherical model) and 0.322 for total organic carbon (exponential model) in the spring 2009. This showed the high confidence level for electrical conductivity dataset and forecasted trends. The results of the spatial analysis demonstrated that the transfer trends of electrical conductivity in the groundwater resources followed the route of groundwater movement in all seasons. However, for nitrate and total organic carbon, a definite trend was not obtained and pollution dispersion depended on many parameters

In vitro and in vivo antidiabetic activity of Tamarix stricta Boiss.: Role of autophagy

Ethnopharmacological relevance: Type 2 diabetes mellitus (DM) is a complicated metabolic disorder with no definite treatment. Different species of the genus Tamarix (tamarisk) are used by local people to treat DM. Tamarix stricta Boiss. is an endemic species to Iran with several traditional therapeutic uses in Persian Medicine. This study aimed to assess the antidiabetic activity of T. stricta. Materials and methods: Hydroethanolic extract of the plant was prepared and analyzed by High-performance liquid chromatography (HPLC). The protective effect of the extract was evaluated in streptozotocin (STZ)-induced toxicity and markers of autophagy in pancreatic RIN-5F cells. The effect of intragastric 10 or 20 mg/kg of the extract was compared with negative control (water) or positive control (metformin) treatment during four weeks of administration in high-fat diet + STZ-induced DM in Balb/c mice. Results: Results showed the presence of 8.436 mg of gallic acid in each gram of the extract. A significant cytoprotective effect was observed by T. stricta in STZ-induced toxicity in RIN-5F cells, partially due to the modulation of autophagy. Also, animals treated with the extract showed a significant improvement in glycemic and lipid profiles, liver function, and histopathologic features of pancreas and liver compared with the negative control. Conclusion: T. stricta demonstrated beneficial effects in animal model of DM; though, further studies are recommended to confirm the clinical use of this plant in DM. © 2020 Elsevier B.V

Phytochemical and toxicological evaluation of Tamarix stricta Boiss

The genus Tamarix includes several plant species well-known for their medicinal properties since ancient times. Tamarix stricta Boiss is a plant native to Iran which has not been previously investigated regarding its phytochemical and biological properties. This study assessed phytochemical and toxicological aspects of T. stricta. The plant was collected from Kerman province of Iran and after authentication by botanist, it was extracted with 70% ethanol. Total phenolic compounds, total flavonoids, and antioxidant properties were measured using spectrophometric methods. Quercetin content of the extract was measured after complete acid hydrolysis with high-performance liquid chromatography. The phytochemical profile of the extract was provided using liquid chromatography-mass spectrometry method. Acute toxicity study with a single intragastric dose of 5000 mg/kg of the extract and sub-chronic toxicity using 50, 100, and 250 mg/kg of the extract was assessed in Wistar rats. Phytochemical analysis showed that polyphenols constitute the major components of the extract. Also, the extract contained 1.552 ± 0.35 mg/g of quercetin. Biochemical, hematological, and histological evaluations showed no sign of toxicity in animals. Our experiment showed that T. stricta is a rich source of polyphenols and can be a safe medicinal plant. Further pharmacological evaluations are recommended to assess the therapeutic properties of this plant