Abstract: A system for finishing a surface of a workpiece. The system includes a laser unit configured to emit a laser radiation. The system further includes an attenuator disposed within the laser unit and configured to adjust optical parameters of the laser radiation. The system further includes a cavitation chamber storing a liquid medium. The workpiece is mounted within the cavitation chamber and is in contact with the liquid medium. The system further includes at least one lens configured to focus at least a portion of the laser radiation and transmit at least one laser beam towards the workpiece.

Abstract: Systems and methods for processing and displaying information for multiple applications on a computing device are disclosed herein. An example method includes a mobile device retrieving, from a pinboard server, pin blocks corresponding to applications. The mobile device may then filter the pin blocks based on (i) a geolocation of the mobile device, (ii) a user profile activated on the mobile device, (iii) a time of day, (iv) a date, or (v) an activity associated with a user. The mobile device may then display the filtered pin blocks.

Abstract: Systems and methods for processing and displaying information for multiple applications on a computing device are disclosed herein. An example method includes a mobile device retrieving, from a pinboard server, pin blocks corresponding to applications. The mobile device may then filter the pin blocks based on (i) a geolocation of the mobile device, (ii) a user profile activated on the mobile device, (iii) a time of day, (iv) a date, or (v) an activity associated with a user. The mobile device may then display the filtered pin blocks.

Abstract: A method and system for synchronizing and prioritizing messages from separate systems includes receiving a message from a computer network having a unique identifier. Next, this message having the unique identifier may be compared to at least one of a rule and a formula stored in a database. If the message with the unique identifier matches at least one of a rule and a formula stored in the database based on the unique identifier, then the message may be supplemented with an action identifier. Subsequently, the message may be prioritized relative to one or more other messages based on at least one of a source identifier and the action identifier. The message may then be transmitted to a notifier. The notifier may relay the message over the communications network to at least one of an application content provider (ACP) and/or a target application upon receiving a request for transmitting messages.

Abstract: Systems and methods are described for automating the creation of data marts within an enterprise. Data is maintained in a plurality of data sources that include at least a relational database and a multidimensional database. The system includes a business intelligence server that provides a virtual logical semantic model to integrate all of the plurality of data sources. The user specifies a list of levels and measures on the virtual logical semantic model. The list of levels and measures can span data from multiple data sources. The user can also specify a location in the plurality of data sources that will store the aggregate matrix. Once the list of levels and measures are specified, the business intelligence server generates a multidimensional cube to store the data for the aggregate matrix and stores the multidimensional cube in the data source location.

Abstract: Systems and methods are described for automating the creation of data marts within an enterprise. Data is maintained in a plurality of data sources that include at least a relational database and a multidimensional database. The system includes a business intelligence server that provides a virtual logical semantic model to integrate all of the plurality of data sources. The user specifies a list of levels and measures on the virtual logical semantic model. The list of levels and measures can span data from multiple data sources. The user can also specify a location in the plurality of data sources that will store the aggregate matrix. Once the list of levels and measures are specified, the business intelligence server generates a multidimensional cube to store the data for the aggregate matrix and stores the multidimensional cube in the data source location.