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Image compression is the process of removal of redundant data in order to achieve savings in storage and communication costs. A new method for predictive coding of images is proposed using two-dimensional multiplicative autoregressive models. Genetic algorithm is implemented to compute autoregressive parameters. Comparison with other multiplicative autoregressive model based image compression method has also been reported here.

Modified low density lipoproteins (LDL), including their oxidized forms, have been widely implicated in the etiology of atherosclerosis and concomitant cardiovascular disease (CVD) in chronic renal failure (CRF). The nature of events that lead to oxidative changes in LDL proteins are not clearly understood. Thus, patients suffering from CRF were grouped into mild, moderate and severe categories based on their blood urea and serum creatinine levels. Progression of CRF was accompanied not only with gradual increase in serum malondialdehyde (MDA) but also parallel increase in conjugated diene and MDA levels in LDL fractions separated from serum. Serum superoxide dismutase (SOD) activity was concurrently found to decrease, along with a decrease in high-density lipoprotein (HDL) cholesterol, during the progression of CRF. Gradual increase in the appearance of LDL oxidation products seems to accompany progressive manifestation of CRF. The results presented suggest that determination of serum MDA and SOD levels may enhance the diagnostic significance of the study of lipid profile in determining the risk for cardio vascular disease in CRF.