The present study was performed to evaluate the anti-schistosomal activity of the medicinal plant ginger Zingiber officinale. Mice were individually infected with 100 Schistosoma mansoni cercariae. Four weeks post-infection, mice were orally treated with 1200 mg/kg of ginger for ten consecutive days. After the last dose all animals were sacrificed to evaluate the efficacy of ginger in treatment of the infection. The results obtained showed moderate reduction of 16.5% in the worm burden compared with control infected animals. The liver egg count showed a marked reduction of 53.8%. Ginger treatment showed a significant reduction in the size of liver granuloma where a percentage reduction of 66.35 was observed. Ginger treatment was slightly reflected on the liver function at such rate of infection, where an improvement in serum arginase activity was recorded, while no appreciable improvement in hepatic ALT and AST activities, albumin and creatinine contents. In conclusion Z. officinale displayed some degree of anti-schistosomal activity through reducing of the S. mansoni eggs output and the liver granuloma size.

تمت إضافة ثلاثة أنواع نباتية للفلورا الليبية هي Ruta montana + Pimpinella cretica + plantago bellardii

تمت إضافة ثلاثة أنواع نباتية للفلورا الليبية هي Lactuca saligna + Sanguisorba minor

The use of computers for handling image data in the healthcare is growing The amount of data produced by modem image generating techniques, such as Computed Tomography (CT) and Magnetic Resonance (MR), is vast. The amount of data might be a problem from a storage point of view or when the data is sent over a network. To overcome these problems data compression techniques adapted to these applications are needed Many classes of images contain some spatial regions which are more important than other regions. Compression methods which are capable of achieving higher reconstruction quality of important parts of the image have been implemented For medical images, only a small portion of the image might be diagnostically useful but the cost of wrong interpretation is high. Algorithms which deliver lossless compression within the regions of interest (ROJ), and lossy compression elsewhere in the image, might be the key to providing efficient and accurate image coding to the medical community. In this thesis both of compression techniques (lossy and lossless) of medical images using the JPEG algorithm (DCT), will be discussed.