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

This study deals with air pollution tolerance index (APTI) and anatomical variation in leaves of two species of terrestrial plants Ficus sp. and Conocarpus sp. that have bee commonly the separated along roadsides in many stations within Babylon province. APTI values of both species were less than 10 during study period which represented sensitivity of these plants to air pollution. There are Anatomical responses to pollution in the leaves of both studied species. Main adaptations included increased thickness of parenchyma cell walls with clear dark deposits in sections of Ficus sp. from sections of stations 2 and 4 which represent polluted stations. Conocarpus sp. main adaptation included stomata increased in density and decreased in size w

The field of Optical Character Recognition (OCR) is the process of converting an image of text into a machine-readable text format. The classification of Arabic manuscripts in general is part of this field. In recent years, the processing of Arabian image databases by deep learning architectures has experienced a remarkable development. However, this remains insufficient to satisfy the enormous wealth of Arabic manuscripts. In this research, a deep learning architecture is used to address the issue of classifying Arabic letters written by hand. The method based on a convolutional neural network (CNN) architecture as a self-extractor and classifier. Considering the nature of the dataset images (binary images), the contours of the alphabet