The clinico-pathological and therapeutic studies on a natural outbreak of psoroptic acariosis in 10 New Zealand White rabbits of either sex and aged between 1 to 2 years were carried out during the period from July to December 2003. The diagnosis was made on the basis of clinical signs and examination of skin scrapings. Clinical signs recorded were severe itching and crust formation on ears, forehead, face, eyelids, forelimbs and back. Level of Hb, TEC, lymphocyte count, total protein and albumin were significantly (p < 0.05) low while TLC, neutrophil and eosinophil counts were significantly (p < 0.05) high in affected rabbits. The disease was effectively controlled by ivermectin (Inj. Mectin®, Alembic) @ 200 µg per kg bwt given SC once in a week for 2 injections and lincomycin (Inj. Alincomycin® Vet., Alved) @ 20 mg per kg bwt given IM daily for 7 days for combating secondary bacterial infection. The complete clinical recovery and absence of mite in the skin scrapings on day 10 onwards of starting of therapy was recorded.Key words: Rabbit; Psoroptes cuniculi; haematological changes; ivermectindoi: 10.3329/bjvm.v2i2.2561Bangl. J. Vet. Med. (2004). 2 (2): 155-158

Production feasibility of monosex nile tilapia, Oreochromis niloticus was studied in eight brackishwater ponds, where tilapia fries with the average body weight (ABW) of 0.15 g were stocked at a density of 5/m 2 . Salinity of the ponds varied from 11 ppt to 14 ppt. Fishes was fed with floating feed containing 35% crude protein. After 105 days of culture, production of tilapia was 6334.20-8099.50 kg/ha with an average mean of 7456.35 ± 589.60 kg/ha. This production was achieved when average body weight and survival of tilapia was 176.50 ± 18.44 g and 84.42 ± 7.23%, respectively. This growth and production tilapia was higher and very much comparable to the production of tilapia reported from freshwater bodies. The study indicates that tilapia can be grown as crop diversification in brackishwater ponds, where stocking of shrimp now become risky due to invasion of diseases.

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Face recognition is an important and challenging field in computer vision. This research present a system that is able to recognize a person's face by comparing facial structure to that of a known person which is achieved by using frontal view facing photographs of individuals to render a two-dimensional representation of a human head. Various symmetrization techniques are used for preprocessing the image in order to handle bad illumination and face alignment problem. We used Eigenface approach for face recognition. Eigenfaces are eigenvectors of covariance matrix, representing given image space. Any new face image can then be represented as a linear combination of these Eigenfaces. This makes it easier to match any two given images and thus face recognition process. The implemented eigenface-based technique classified the faces 95% correctly.

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