The present study was designed to investigate the effect of R. stolonifer metabolic products on some antioxidant defenses and some elements (Cu, Fe, Ca) . The experiment was performed using 25 mature male rats, their age average was about (3-3.5) months and their weight average was about (200-225) gm. The animals were randomly divided into 5 equal groups (five animals for each): control (treated orally with normal saline) and four treatment groups were drenched orally with four concentrations of R. stolonifer metabolic products (15, 30, 60,120) μl/kg body weight. The animals were treated with one single dose of the previously described concentrations then left for 15 days. Animals of different groups were sacrificed under light ether anesthesia one day after the end of treatments and blood samples were taken to determine some physiological, biochemical parameters. The results revealed that the treated groups showed significant decreases (P< 0.05) in serum vitamin C and Fe, Cu concentrations. The decrease was proportional with the increase the concentrations of the metabolic products of R. stolonifer. On the contrary Catalase activity increased significantly (P< 0.05), while Ca concentration didn’t differ significantly (P< 0.05) The findings of this study may encourage other researcher for further study especially that we find in our local market that there are many rotted vegetable and fruits which may cause serious problems if consumed for certain period.
(165)
(106)
(22)
(19)
(6)
(3)
(1)
(1)
In this research , we study the inverse Gompertz distribution (IG) and estimate the survival function of the distribution , and the survival function was evaluated using three methods (the Maximum likelihood, least squares, and percentiles estimators) and choosing the best method estimation ,as it was found that the best method for estimating the survival function is the squares-least method because it has the lowest IMSE and for all sample sizes
In this research , we study the inverse Gompertz distribution (IG) and estimate the survival function of the distribution , and the survival function was evaluated using three methods (the Maximum likelihood, least squares, and percentiles estimators) and choosing the best method estimation ,as it was found that the best method for estimating the survival function is the squares-least method because it has the lowest IMSE and for all sample sizes
The current issues in spam email detection systems are directly related to spam email classification's low accuracy and feature selection's high dimensionality. However, in machine learning (ML), feature selection (FS) as a global optimization strategy reduces data redundancy and produces a collection of precise and acceptable outcomes. A black hole algorithm-based FS algorithm is suggested in this paper for reducing the dimensionality of features and improving the accuracy of spam email classification. Each star's features are represented in binary form, with the features being transformed to binary using a sigmoid function. The proposed Binary Black Hole Algorithm (BBH) searches the feature space for the best feature subsets,
... Show More