Abstract: A method and computer program product for conferencing, the method includes: electing a cluster leader node out of multiple nodes that participate in a conference; monitoring, by the cluster leader node and at least by one other node, a connectivity status of the nodes; recording conference content during at least a certain disconnection period of a certain node; and sending to the certain node, after the certain disconnection period ended, conference information representative of the recorded conference content.

Abstract: A data storage resynchronization system is provided. The system includes a primary site having a primary server, primary storage unit, primary replication agent, and a primary storage controller. Data is written to primary pages on the primary storage unit upon receiving a command to do so from the primary server. A secondary site has a secondary server, secondary storage unit, secondary replication agent for receiving a command from the primary replication agent to write the data at the secondary site and secondary storage controller. Data is written to secondary pages on the secondary storage unit upon receiving a command to do so from the secondary replication agent when the secondary and primary pages correspond, and means for comparing corresponding pages and sending primary pages to the secondary replication agent for replacement of corresponding secondary pages at the secondary site where page-change indicators of the corresponding pages do not match.

Abstract: A device for calculating numerical solutions for partial differential equations in successive intervals using adaptive meshes, comprises: a neural network part for producing predictions of gradients at a following interval based on gradients available from previous intervals, and a mesh adaptation part, associated with the neural network part, configured for adapting a mesh over a domain of a respective partial differential equation using the predictions, such that the mesh adaptively refines itself about emerging regions of complexity as the partial differential equation progresses over the successive intervals. The neural network part succeeds in its predictions since its use herein is equivalent to using time series function fitting techniques.

Abstract: A device for calculating numerical solutions for partial differential equations in successive intervals using adaptive meshes, comprises: a neural network part for producing predictions of gradients at a following interval based on gradients available from previous intervals, and a mesh adaptation part, associated with said neural network part, configured for adapting a mesh over a domain of a respective partial differential equation using said predictions, such that said mesh adaptively refines itself about emerging regions of complexity as said partial differential equation progresses over said successive intervals. The neural network part succeeds in its predictions since its use herein is equivalent to using time series function fitting techniques.