Abstract: Methods and systems for processing requests with load-dependent throttling. The system compares a count of active job requests being currently processed for a user associated with a new job request with an active job cap number for that user. When the count of active job requests being currently processed for that user does not exceed the active job cap number specific to that user, the job request is added to an active job queue for processing. However, when the count of active job requests being currently processed for that user exceeds the active job cap number, the job request is placed on a throttled queue to await later processing when an updated count of active job requests being currently processed for that user is below the active job cap number. Once the count is below the cap, the throttle request is moved to the active job queue for processing.

Abstract: Methods and systems for processing requests with load-dependent throttling. The system compares a count of active job requests being currently processed for a user associated with a new job request with an active job cap number for that user. When the count of active job requests being currently processed for that user does not exceed the active job cap number specific to that user, the job request is added to an active job queue for processing. However, when the count of active job requests being currently processed for that user exceeds the active job cap number, the job request is placed on a throttled queue to await later processing when an updated count of active job requests being currently processed for that user is below the active job cap number. Once the count is below the cap, the throttle request is moved to the active job queue for processing.

Abstract: Methods and systems for processing requests with load-dependent throttling. The system compares a count of active job requests being currently processed for a user associated with a new job request with an active job cap number for that user. When the count of active job requests being currently processed for that user does not exceed the active job cap number specific to that user, the job request is added to an active job queue for processing. However, when the count of active job requests being currently processed for that user exceeds the active job cap number, the job request is placed on a throttled queue to await later processing when an updated count of active job requests being currently processed for that user is below the active job cap number. Once the count is below the cap, the throttle request is moved to the active job queue for processing.

Abstract: Systems and methods for personalized media recommendation are provided. One example system may include a media server including a media database containing a plurality of media tracks and a database schema defining multiple media styles. The media server may further include a media delivery engine configured to transmit media tracks to each of a plurality of media clients. The system may further include a feedback module configured to receive history data from each of the media clients. Further still, the system may include a recommendation engine configured to compute a plurality of user-specific style weights, and to select one or more recommended media tracks for each user, The recommendation engine may be further configured to send a recommendation message to the media client including media links to the recommended media tracks on the media server, to cause the media client to display the media links to a user.

Abstract: Systems and methods for personalized media recommendation are provided. One example system may include a media server including a media database containing a plurality of media tracks and a database schema defining multiple media styles. The media server may further include a media delivery engine configured to transmit media tracks to each of a plurality of media clients. The system may further include a feedback module configured to receive history data from each of the media clients. Further still, the system may include a recommendation engine configured to compute a plurality of user-specific style weights, and to select one or more recommended media tracks for each user, The recommendation engine may be further configured to send a recommendation message to the media client including media links to the recommended media tracks on the media server, to cause the media client to display the media links to a user.

Abstract: The present invention describes devices and methods for performing protein analysis on laser capture microdissected cells, which permits proteomic analysis on cells of different populations. Particular disclosed examples are analysis of normal versus malignant cells, or a comparison of differential protein expression in cells that are progressing from normal to malignant. The protein content of the microdissected cells may be analyzed using techniques such as immunoassays, 1D and 2D gel electrophoresis characterization, Western blotting, liquid chromatography quadrapole ion trap electrospray (LCQ-MS), Matrix Assisted Laser Desorption Ionization/Time of Flight (MALDI/TOF), and Surface Enhanced Laser Desorption Ionization Spectroscopy (SELDI).