Abstract: The present disclosure provides for methods of producing analgesia in a subject. In some cases, methods produce analgesia in a subject undergoing arthroscopic subacromial decompression surgery. The present disclosure also relates to improved sustained release drug delivery systems. In some cases, a composition comprises an active pharmaceutical agent; at least one of sucrose acetate isobutyrate and a polyorthoester; an organic solvent; and 2,6-dimethylaniline, wherein the 2,6-dimethylaniline is present at a level less than 500 ppm. In some cases, a composition comprises bupivacaine N-oxide at a level less than 1 wt %, based on weight of the composition. In some cases, a composition comprises metal present at a level less than 5 ppm. Dosage forms and methods are also provided.

Abstract: The intelligent data storage manager functions to combine the non-homogeneous physical devices contained in a data storage subsystem to create a logical device with new and unique quality of service characteristics that satisfy the criteria for the policies appropriate for the present data object. In particular, if there is presently no logical device that is appropriate for use in storing the present data object, the intelligent data storage manager defines a new logical device using existing physical and/or logical device definitions as component building blocks to provide the appropriate characteristics to satisfy the policy requirements. The intelligent data storage manager uses weighted values that are assigned to each of the presently defined logical devices to produce a best fit solution to the requested policies in an n-dimensional best fit matching algorithm.

Abstract: An intelligent data storage manager is operational in a virtual data storage system that uses a storage element to store data for a host processor. The storage manager includes a host interface and a controller. The host interface receives a virtual volume having virtual blocks from a host processor. The controller sequentially segments the virtual volume into data pages. Each data page includes virtual blocks of the virtual volume. The controller generates a meta data page associated with the virtual volume to map the data pages to the virtual blocks of the virtual volume. The controller uses the meta data page to selectively store the data pages onto the storage element. The storage element has a partitioning configuration and the amount of the virtual blocks included by each data page is a function of the partitioning configuration of the storage element. The meta data page associated with the virtual volume includes meta data page records.

Abstract: The intelligent data storage manager functions to combine the non-homogeneous physical devices contained in a data storage subsystem to create a logical device with new and unique quality of service characteristics that satisfy the criteria for the policies appropriate for the present data object. In particular, if there is presently no logical device that is appropriate for use in storing the present data object, the intelligent data storage manager defines a new logical device using existing physical and/or logical device definitions as component building blocks to provide the appropriate characteristics to satisfy the policy requirements. The intelligent data storage manager uses weighted values that are assigned to each of the presently defined logical devices to produce a best fit solution to the requested policies in an n-dimensional best fit matching algorithm.

Abstract: The intelligent data storage manager functions to combine the non-homogeneous physical devices contained in a data storage subsystem to create a logical device with new and unique quality of service characteristics that satisfy the criteria for the policies appropriate for the present data object. In particular, if there is presently no logical device that is appropriate for use in storing the present data object, the intelligent data storage manager defines a new logical device using existing physical and/or logical device definitions as component building blocks to provide the appropriate characteristics to satisfy the policy requirements. The intelligent data storage manager uses weighted values that are assigned to each of the presently defined logical devices to produce a best fit solution to the requested policies in an n-dimensional best fit matching algorithm.