This  experiment  was carried  out to evaluate   the efficiency ·of growth regulator  (Match) and biotic pesticides  (Agerin) on the  pupa and adult stages of cotton  leaf worm Spodoptera littoral is {Boisd) that developed from  the  1 51 larval instar  fed on food treated with different concentration  of these pesticides for different' periods. Result  showed that their was a significant  decreases  in pupal period    pupal  weight, pupal   length,   abnonnal   growth   for   pupal   stage      .   A  significant decrease  in the em

In the course of generating a library of open-chain epothilones, we discovered a new class of small molecule anticancer agents that has no effect on tubulin but instead kills selected cancer cell lines by harnessing reactive oxygen species in an iron-dependent manner.

The aims of study were identify the Morphological description and histological structure of pancreas gland in the Saw-scaled viper snake, (Echis carinatus scochureki). The study was conducted on 6 snakes collected from the city of Nasiriya in Dhi Qar province, Doped snakes was dissected to isolate the pancreas gland, and the histological slides prepared after samples fixation by fixative solutions, the routine stains Haematoxylin– Eosin were used. Morphological Description study showed that the pancreas gland was compact in type with one lobe, white-pink in colure. The pancreas Located at the level of the Gall bladder associated with it’s caudal side, The spleen is adjacent to pancreas completely in the dorsal side .and duodenum l

A genetic algorithm model coupled with artificial neural network model was developed to find the optimal values of upstream, downstream cutoff lengths, length of floor and length of downstream protection required for a hydraulic structure. These were obtained for a given maximum difference head, depth of impervious layer and degree of anisotropy. The objective function to be minimized was the cost function with relative cost coefficients for the different dimensions obtained. Constraints used were those that satisfy a factor of safety of 2 against uplift pressure failure and 3 against piping failure.
Different cases reaching 1200 were modeled and analyzed using geo-studio modeling, with different values of input variables. The soil wa

Due to advancements in computer science and technology, impersonation has become more common. Today, biometrics technology is widely used in various aspects of people's lives. Iris recognition, known for its high accuracy and speed, is a significant and challenging field of study. As a result, iris recognition technology and biometric systems are utilized for security in numerous applications, including human-computer interaction and surveillance systems. It is crucial to develop advanced models to combat impersonation crimes. This study proposes sophisticated artificial intelligence models with high accuracy and speed to eliminate these crimes. The models use linear discriminant analysis (LDA) for feature extraction and mutual info

Accurate emotion categorization is an important and challenging task in computer vision and image processing fields. Facial emotion recognition system implies three important stages: Prep-processing and face area allocation, feature extraction and classification. In this study a new system based on geometric features (distances and angles) set derived from the basic facial components such as eyes, eyebrows and mouth using analytical geometry calculations. For classification stage feed forward neural network classifier is used. For evaluation purpose the Standard database "JAFFE" have been used as test material; it holds face samples for seven basic emotions. The results of conducted tests indicate that the use of suggested distances, angles