Abstract: The present invention relates to novel bipyridine sulfonamide derivatives of formula (I) and their use for the treatment and/or prophylaxis of a neurodegenerative disease or condition, particularly Alzheimers disease (AD), a cardiovascular disease or a pathology involving ischemia. Additionally, processes for preparing such derivatives and pharmaceutical compositions comprising them are provided.

Abstract: The present invention relates to novel bipyridine sulfonamide derivatives of formula (I) and their use for the treatment and/or prophylaxis of a neurodegenerative disease or condition, particularly Alzheimers disease (AD), a cardiovascular disease or a pathology involving ischemia. Additionally, processes for preparing such derivatives5 and pharmaceutical compositions comprising them are provided.

Abstract: Methods, systems, and computer program products are disclosed for determining application-level traffic characteristics in a network based on transport and network layer header information. Transport and network layer header information is collected from packet traffic in a network. Packets are classified to different connections based on the transport and network layer header information. Each connection is modeled using an abstract syntax for characterizing bidirectional interactions between endpoints of each connection and delays between the interactions. Application-level characteristics of the packet traffic are determined based on the modeled connections. Simulated traffic that models application-level traffic behavior in a real network may also be generated by simulating traffic connections based on the modeled connections.

Abstract: A transgenic animal in which GSK-3? protein is over-expressed is useful as a model for neurodegenerative disease.

Abstract: Methods, systems, and computer program products are disclosed for determining application-level traffic characteristics in a network based on transport and network layer header information. Transport and network layer header information is collected from packet traffic in a network. Packets are classified to different connections based on the transport and network layer header information. Each connection is modeled using an abstract syntax for characterizing bidirectional interactions between endpoints of each connection and delays between the interactions. Application-level characteristics of the packet traffic are determined based on the modeled connections. Simulated traffic that models application-level traffic behavior in a real network may also be generated by simulating traffic connections based on the modeled connections.

Abstract: A transgenic animal in which GSK-3&bgr; protein is over-expressed is useful as a model for neurodegenerative disease.

Abstract: The present application provides a novel process for the industrial preparation of rice cooked under vacuum, comprising the steps of cleaning, scalding, cooling, draining, drying, frying, mixing with sauces and/or solids, packaging, maceration, and cooking and sterilizing, as described and claimed herein.