Abstract

          Binary logistic regression model used in data classification and it is the strongest most flexible tool in study cases variable response binary when compared to linear regression. In this research, some classic methods were used to estimate parameters binary logistic regression model, included the maximum likelihood method, minimum chi-square method, weighted least squares, with bayes estimation , to choose the best method of estimation by default values to estimate parameters according two different models of general linear regression models ,and different s

The planning for the formation of administrative policies and guidance through leadership are important things for managing administrative processes and sporting activities. As both contribute in the stability of the administrative conditions, and their development in the sport federations, whether they both were attentive about team and individual Olympic Games. The two researchers observe that, there is a variation in the correct way of application. Particularly in the formulation of administrative policies and leadership describing it as, modern management standards for both team and individual Olympic Games in the Iraqi National Olympic Committee. That led to cause a misconception and lack of clarity for some administrators of those uni

Arabian killifish, Aphanius dispar, lives in marine coastal areas of the Middle East, as well as in streams that experience a wide range of salinities and temperatures. It has been used as a mosquito control agent and for studying the toxicities of environmental pollutants. A. dispar's eggshell (chorion) and embryos are highly transparent and are suitable for high resolution microscopic observations, offering excellent visibility of live tissues.

The aim of this study was to determine the influence of feeding diets containing different levels of sesame seeds and oil on the egg quality of laying quail. A total of 120, 10 weeks old, were randomly assigned to 1 of 5 dietary groups and fed for 12 weeks diets containing 0% sesame seeds + 0% sesame oil (control group; C) or 0.5% sesame oil (T1), 1% sesame oil (T2), 1% sesame seeds (T3), and 2% sesame seeds (T4).The study was terminated when the birds were 22 weeks of age. Egg quality characteristics involved in the present study were egg weight, yolk diameter, yolk height, yolk weight, albumen height, albumen weight,Haugh unit, shell weight, shell thickness, shell percentage, yolk percentage, and albumen percentage. The addition of sesame

Pseudomonas aeruginosa is an opportunistic pathogen responsible for serious infections. At least three different exopolysaccharides, alginate, polysaccharide synthesis locus (Psl), and pellicle exopolysaccharide (Pel) make up the biofilm matrix in P. aeruginosa . The effect of temperature on the biofilm formation and gene expression was examined by microtiter plate and real-time quantitative polymerase chain reaction (qRT-PCR). To be able to determine the effect of temperature on biofilm formation and gene expression of P. aeruginosa, 303 clinical and environmental samples were collected. Pseudomonas aeruginosa was isolated from 61 (20.1%) and 48 (15.8%) of the clinical and e

Examination of the blood and the alimentary canal of moorhens in two sites around
Baghdad area in the middle of Iraq showed that 38% of the examined birds were infected with
one or more of the following parasites, Haemoproteus baghdadensis, H. gallinulae
(Protozoa), Cyclocoelum mutbile (Trematoda), Diorchis inflata, Ligula intestinalis (Cestoda),
Amidostomum fulicae and Porrcaecum sp. (Nematoda) .The stomach analysis revealed that
the bird is omnivorous in feeding including wid range of invertebrate animals with some plant
origin food items.

The area of character recognition has received a considerable attention by researchers all over the world during the last three decades. However, this research explores best sets of feature extraction techniques and studies the accuracy of well-known classifiers for Arabic numeral using the Statistical styles in two methods and making comparison study between them. First method Linear Discriminant function that is yield results with accuracy as high as 90% of original grouped cases correctly classified. In the second method, we proposed algorithm, The results show the efficiency of the proposed algorithms, where it is found to achieve recognition accuracy of 92.9% and 91.4%. This is providing efficiency more than the first method.