Abstract: A method, a computer system, and a computer program product for communicating employment opportunities to job candidates. A recruiting system receives a job posting from an organization communicating over a first network. The recruiting system matches the job requirements in the job posting to a candidate profile. The recruiting system identifies a mobile device associated with the candidate profile, and an interaction template that describes a conversational flow of messages for soliciting an application for the job from a job candidate. A dialogue is initiated with the mobile device, by sending a transmission object built from a message in the interaction template. A response received from the mobile device based on rules that describe a conversational flow for the interaction template. If the response is positive, the recruiting system submits the user as a candidate for the job by posting the information in the response to the organization.

Abstract: Certain aspects of the present disclosure provide techniques for committing log data in an application to a log data repository. An example method generally includes receiving, from an application, data to be committed to a remote storage location. A type of the received data is determined. The type of the received data is generally associated with a prioritization level and a compression mechanism to be used in committing the data to the remote storage location. An application execution context associated with the received data is determined. At a dispatch time associated with the prioritization level of the received data and the application execution context associated with the received data, a compressed data payload is generated and transmitted to the remote storage location. Generally, to compress the data payload, at least the received data is generally compressed based on the determined compression mechanism.

Abstract: Certain aspects of the present disclosure provide techniques for committing log data in an application to a log data repository. An example method generally includes receiving, from an application, data to be committed to a remote storage location. A type of the received data is determined. The type of the received data is generally associated with a prioritization level and a compression mechanism to be used in committing the data to the remote storage location. An application execution context associated with the received data is determined. At a dispatch time associated with the prioritization level of the received data and the application execution context associated with the received data, a compressed data payload is generated and transmitted to the remote storage location. Generally, to compress the data payload, at least the received data is generally compressed based on the determined compression mechanism.

Abstract: The present invention relates to pharmaceutical compositions comprising Lenalidomide. More particularly, the present invention relates to a stable composition comprising anhydrous Lenalidomide Form I and one or more pharmaceutically acceptable excipients and process for preparing such compositions.

Abstract: Examples of techniques for computer-generated team based metrics for candidate onboarding and retention are described herein. An aspect includes determining metrics of a candidate that is interviewing for a position in a team of an organization. Another aspect includes determine metrics of each individual member of the team. Another aspect includes calculating a first score for the team based on the metrics of each individual member of the team. Another aspect includes recalculating a second score for the team based on the metrics of each individual member of the team and the metrics of the candidate. Another aspect includes determining a variance between the first score and the second score.

Abstract: A method, a computer system, and a computer program product for communicating employment opportunities to job candidates. A recruiting system receives a job posting from an organization communicating over a first network. The recruiting system matches the job requirements in the job posting to a candidate profile. The recruiting system identifies a mobile device associated with the candidate profile, and an interaction template that describes a conversational flow of messages for soliciting an application for the job from a job candidate. A dialogue is initiated with the mobile device, by sending a transmission object built from a message in the interaction template. A response received from the mobile device based on rules that describe a conversational flow for the interaction template. If the response is positive, the recruiting system submits the user as a candidate for the job by posting the information in the response to the organization.

Abstract: The present invention relates to pharmaceutical compositions comprising Lenalidomide. More particularly, the present invention relates to a stable composition comprising anhydrous Lenalidomide Form I and one or more pharmaceutically acceptable excipients and process for preparing such compositions.

Abstract: System and method of mapping multiple reference frame motion estimation on a multi core digital signal processor is disclosed. The method includes considering at least one motion vector of a plurality of neighbouring macro blocks present in a current frame and a co-located frame to find a best prediction point motion vector set, collecting a best data block among a plurality of data blocks from a plurality of reference frames according to a plurality of sets of motion vectors at a first pipeline stage, transmitting a data searched related to the plurality of sets of motion vectors from the second level of memory to a first level of memory of a second digital signal processor at a second pipeline stage and finding a best motion vector by utilizing a cost based search on the second digital signal processor is performed at third pipeline stage.

Abstract: Methods for performing motion estimation in multiple reference frames scenario are disclosed. The method includes considering a motion vector of a plurality of neighbouring macro blocks present in a current frame and a co-located frame to find a best prediction point motion vector set, scaling at least one motion vector in a plurality of prediction frames and a plurality of bidirectional frames to find a predictive motion vector set by calculating a temporal distance between a nth reference frame and a reference frame referred by an input motion vector and finding at least one best prediction point motion vector of the nth reference frame from a set of motion vectors by utilizing a cost based motion search. The cost based motion search comprising finding a prediction motion vector, finding a cost factor, performing a cost based motion search of at least one partition level to find the best motion vector from the set of motion vectors.

Abstract: Examples of techniques for computer-generated team based metrics for candidate onboarding and retention are described herein. An aspect includes determining metrics of a candidate that is interviewing for a position in a team of an organization. Another aspect includes determine metrics of each individual member of the team. Another aspect includes calculating a first score for the team based on the metrics of each individual member of the team. Another aspect includes recalculating a second score for the team based on the metrics of each individual member of the team and the metrics of the candidate. Another aspect includes determining a variance between the first score and the second score.

Abstract: System and method of mapping multiple reference frame motion estimation on a multi core digital signal processor is disclosed. The method includes considering at least one motion vector of a plurality of neighbouring macro blocks present in a current frame and a co-located frame to find a best prediction point motion vector set, collecting a best data block among a plurality of data blocks from a plurality of reference frames according to a plurality of sets of motion vectors at a first pipeline stage, transmitting a data searched related to the plurality of sets of motion vectors from the second level of memory to a first level of memory of a second digital signal processor at a second pipeline stage and finding a best motion vector by utilizing a cost based search on the second digital signal processor is performed at third pipeline stage.

Abstract: Methods for performing motion estimation in multiple reference frames scenario are disclosed. The method includes considering a motion vector of a plurality of neighbouring macro blocks present in a current frame and a co-located frame to find a best prediction point motion vector set, scaling at least one motion vector in a plurality of prediction frames and a plurality of bidirectional frames to find a predictive motion vector set by calculating a temporal distance between a nth reference frame and a reference frame referred by an input motion vector and finding at least one best prediction point motion vector of the nth reference frame from a set of motion vectors by utilizing a cost based motion search. The cost based motion search comprising finding a prediction motion vector, finding a cost factor, performing a cost based motion search of at least one partition level to find the best motion vector from the set of motion vectors.

Abstract: An integrated circuit device may include a mask register that stores mask values writable from a processor interface; and mask logic that selectively masks status indications from each of a plurality of buffers according to stored mask values; wherein the buffers alter the status indications in response to accesses from at least one different interface other than the processor interface.