The goal of the extant revision was to explore the influence of  caffeic acid (CA) extracted from Arctium lappa L. on lipid profile and histology of aorta  in rats .  Analytical study demonstrated a high percentage of both chlorogenic and caffeic acid in the 80 % methanol extract of the aerial parts (leaves and stems) of Arctium lappa L. from the family Asteraceace.  Hypolipidemic activity of caffeic acid was studied against cholesterol induced hypercholesterolemia in Wistar albino rats for thirty days. Rats were separated into normal group (A), hypercholesterolemic positive controller group (B). While, the rest three groups (C, D and E) attended as hypercholesterol

Twenty four  samples of  various granites and marble used common as flooring materials were collected from many factories and market in Baghdad Province, Iraq. Natural radioactivity of ²²⁶Ra, ²³²Th and ⁴⁰K in the samples was measured by using high purity germanium detectors with an efficiency of 40%. The Specific activity concentration in granite samples ranged from 9.20 to 79.64 Bq/kg, 10.50 to 229.40 Bq/kg and 185.30 to 1391.20 Bq/kg for ²²⁶Ra, ²³²Th and ⁴⁰K, respectively. The estimated  of radiological parameters: radium equivalent activity (R_eq), activity concentration Index (I) and hazard indices (internal (H_in) and External (H

Porosity is important because it reflects the presence of oil reserves. Hence, the number of underground reserves and a direct influence on the essential petrophysical parameters, such as permeability and saturation, are related to connected pores. Also, the selection of perforation interval and recommended drilling additional infill wells. For the estimation two distinct methods are used to obtain the results: the first method is based on conventional equations that utilize porosity logs. In contrast, the second approach relies on statistical methods based on making matrices dependent on rock and fluid composition and solving the equations (matrices) instantaneously. In which records have entered as equations, and the matrix is sol

       Modern cities suffer from heavy metal pollution due to urban expansion and population increase. Heavy metals have a great impact on human health. The objective is to determine the contamination level of heavy metals Cr, Mn, Ni, Cu, Zn, As, Zr and Pb at industrial and residential in Hilla city. The mean concentration of Cr, Mn, Ni, Cu, Zn, As, Zr and Pb enrichment factors of the investigated industrial soils are 3.43, 0.74, 6.45, 3.95, 5.60, 3.44, 1.17 and 11.44, respectively. The means of Cr, Mn, Ni, Cu, Zn, As, Zr and Pb in residential soils are 3.30, 1.09, 11.40, 0.94, 2.08, 5.39, 0.9 and 3.6, respectively. The I-geo mean values of heavy elements in the industrial area may be ordered in the following: Mn> Pb> Ni>

Raw milk is subjected to various physical, chemical and biological pollutants due to produce, a transporting and marketing processes. The current study was designed to examine raw milk samples which were collected from different locations of Iraq. The highest mean value of Pb content [1.801±0.311 ppm] was recorded while the lowest mean value [0.941±0.104 ppm]. The highest mean value [1.532±0.124 ppm] and gave the lowest mean value [0.063±0.044 ppm] of Cd content. This study has the highest mean value of Cu content was [0.931±0.092 ppm] and but the lowest mean value was [0.308±0.029 ppm]. Metals contents of raw milk in this study showed higher than standards of the International Dairy Federation [IDF].

The aim of this study is to determine the level of pollution with heavy metals (Cd, Cr, Cu, Ni, Pb, Zn) and their potential sources in dust samples collected from schools in Ramadi City, Iraq. The dust samples were collected from 40 primary schools and two kindergartens and analyzed by using atomic absorption spectrophotometer. The heavy metal concentrations were found to follow the order Cr > Cu > Pb > Ni > Zn > Cd.  The results indicated that the concentrations of Cd, Cu, and Pb exceeded the permitted background values. The pollution level was assessed using the geo-accumulation index (I_geo) and pollution load index (PLI). The classification of dust samples according to I_geo values showed that

In this research, some robust non-parametric methods were used to estimate the semi-parametric regression model, and then  these methods were compared using the MSE comparison criterion, different sample sizes, levels of variance, pollution rates, and three different models were used. These methods are S-LLS S-Estimation -local smoothing, (M-LLS)M- Estimation -local smoothing, (S-NW) S-Estimation-NadaryaWatson Smoothing, and (M-NW) M-Estimation-Nadarya-Watson Smoothing.

The results in the first model proved that the (S-LLS) method was the best in the case of large sample sizes, and small sample sizes showed that the