Abstract: A method for detecting outliers in processes running in a group of machines. A clustering stage, carried out at a first frequency, including fetching a list of software contained in all machines, calculating tf-idf value for each installed software and for each machine, performing clustering of the machines by applying a clustering algorithm and using a Jaccardian weighted distance method between machines based on the tf-idf values. A preliminary outliers detection stage, carried out at a second frequency greater than the first frequency, including fetching information of processes running in the machines, for each cluster calculating tf-idf values for each process, wherein if a tf-idf value is greater than a first predetermined threshold, the process is considered as outlier, for all clusters calculating itf-idf value for each process considered as outlier, and if a itf-idf value is lower than a second predetermined threshold, the process is confirmed as outlier.

Abstract: The present invention discloses novel process for the preparation of mixture of polypeptides comprising L-Glutamaic acid, L-Alanine, L-Tyrosine, and L-Lysine. by employing circular dichroism as a guidance tool.