Eimeria acervulina is a species of Eimeria that causes coccidiosis in older poultry. Lesions are limited to anterior or first third of the small intestine. Peptide fragments of antigen protein can be used to select nonamers for use in rational vaccine design and to increase the understanding of roles of the immune system in infectious diseases. Analysis shows MHC class II binding peptides of antigen protein from Eimeria acervulina are important determinant for protection of host form parasitic infection. In this assay, we used PSSM and SVM algorithms for antigen design and predicted the binding affinity of antigen protein having 299 amino acids, which shows 291 nonamers. Binding ability prediction of antigen peptides to major histocompatibility complex (MHC) class I & II molecules is important in vaccine development from Eimeria acervulina.

We all regularly use the internet for a variety of reasons. We do like some sites and dislike others. There can be various reasons for liking and disliking sites. Some sites interest us, some sites are visited by us often, some are visited periodically, some simple annoy. Our Internet usage is also pretty much the same everyday barring weekends. A average user logs on to the internet at nearly same times everyday, surfs some sites regularly some new sites at times and perform repeated action on sites, more or less. The browser is used as an intermediatery for developing a system which identifies these usage patterns, learns them and then uses it to enhance and personalize our surfing behavior. The system is smart enough to prefetch the right pages at the right time and display them in the browser for the user, all without any manual intervention.

The prevailing Nation in society is that wealth brings comfort and luxury , so it is a challenging and daunting task to find out which is more effective and accurate method for stock rate prediction so that a buy or sell signal can be generated for given stocks. Predicting stock index with traditional time series analysis has proven to be difficult an Artificial Neural network may be suitable for the task. A Neural Network has the ability to extract useful information from large set of data. This paper presents a review of literature application of Artificial Neural Network for stock market predictions and from this literature found that Artificial Neural Network is very useful for predicting world stock markets.