Abstract: A conjugate consisting of an insulin-like growth factor-1 (IGF-I) variant and one or two poly(ethylene glycol) group(s), characterized in that said IGF-I variant has an amino acid alteration at up to three amino acid positions 27, 37, 65, 68 of the wild-type IGF-I amino acid sequence so that one or two of said amino acids is/are lysine and amino acid 27 is a polar amino acid but not lysine, is conjugated via the primary amino group(s) of said lysine(s) and said poly(ethylene glycol) group(s) have an overall molecular weight of from 20 to 100 kDa is disclosed. This conjugate is useful for the treatment of neurodegenerative disorders like Alzheimer's Disease.

Abstract: A system and method are provided for detecting fraud and/or misuse of data in a computer environment through generating a rule for monitoring at least one of transactions and activities that are associated with the data. The rule can be generated based on one or more criteria related to the at least one of the transactions and the activities that is indicative of fraud or misuse of the data. The rule can be applied to the at least one of the transactions and the activities to determine if an event has occurred, where the event occurs if the at least one criteria has been met. A hit is stored if the event has occurred and a notification can be provided if the event has occurred. A compilation of hits related to the rule can be provided.

Abstract: A system and method are provided for detecting fraud and/or misuse in a computer environment through tracking users activities at the application layer for known users. Application layer data and other data are normalized and records are created. The normalized data is correlated to user identities to produce correlated information that is analyzed against modeling information. The modeling information is generated using rules, algorithms, and/or database queries to define fraud scenarios and misuse scenarios. Reports and/or alerts may be generated if fraud and/or misuse are detected.