Preferred Language
Articles
/
bsj-1136
Effect of Aqueous Extract of Fig (Ficus carica) Fruit on Some Hematological Parameters in Female Rabbits
...Show More Authors

The effect of the aqueous extract of fig (Ficus carica) fruit was studied by using different concentrations of this fruit (15, 20 and 25 mg/kg of body weight) on some hematological parameters (hemoglobin concentration, packed cell volume, white blood cell count and platelets count) in female rabbits. Twenty female rabbits were randomly divided into four groups (five animals in each group). Three groups were dosed with the concentrations mentioned above, while the last was administered with distilled water and considered as control group. These animals were orally dosed by aqueous extract using a micropipette. The results showed that there was a significant (P<0.05) increase in hemoglobin concentration and packed cell volume means for all groups treated with aqueous extract of fig fruit compared with the control animals. In addition, there was a significant (P<0.05) increase in white blood cells count at levels of 20 and 25 mg/kg of body weight compared with the control group while there was no significant difference between 15 mg/kg group and control group. Concerning the platelets count, the results showed that there was a significant (P<0.05) increase at level of 25 mg/kg of body weight compared with the control group while there was no significant difference at both levels of 20 and 15 mg/kg of body weight as compared with control group. It was concluded from this study that the effect of aqueous fig extract in hematopoiesis and improving blood parameters in female rabbits.

Crossref
View Publication Preview PDF
Quick Preview PDF
Publication Date
Mon Mar 31 2025
Journal Name
Iraqi Statisticians Journal
Hypothesis Testing for Non-Normal Multiple Compact Regression Model
...Show More Authors

Generalized multivariate transmuted Bessel distribution belongs to the family of probability distributions with a symmetric heavy tail. It is considered a mixed continuous probability distribution. It is the result of mixing the multivariate Gaussian mixture distribution with the generalized inverse normal distribution. On this basis, the paper will study a multiple compact regression model when the random error follows a generalized multivariate transmuted Bessel distribution. Assuming that the shape parameters are known, the parameters of the multiple compact regression model will be estimated using the maximum likelihood method and Bayesian approach depending on non-informative prior information. In addition, the Bayes factor was used

... Show More
View Publication Preview PDF
Crossref