Abstract: Embodiments are directed towards a use of a supported biphenylphenol polymerization catalyst to make a polymer via a slurry-phase polymerization process, where the supported biphenylphenol polymerization catalyst is made from a biphenylphenol polymerization precatalyst of Formula I.

Abstract: An example medical device includes a device housing configured to be implantable within a patient, the device housing including an internal surface in contact with a voltaic cell of the battery, and a battery external to the device housing and comprising a battery housing configured to be hermetically sealed. The battery is configured to provide electrical power to an electrical component housed within the device housing, and the battery housing is configured to be attached to the device housing. The battery housing includes an internal surface in contact with a voltaic cell of the battery, and an external surface in contact with the biocompatible electrical insulator. an external surface in contact with the biocompatible electrical insulator.

Abstract: Example embodiments relate to generation of dynamic content interfaces based on device capabilities and user entitlements. Multiple devices associated with a user account may each request a content interface. Generation of the content interfaces may be based on capability information of the devices and a tier entitlement associated with the user account. A service included in both the content interfaces may be assigned a same virtual channel in each of the content interfaces.

Abstract: Example embodiments relate to generation of dynamic content interfaces based on device capabilities and user entitlements. Multiple devices associated with a user account may each request a content interface. Generation of the content interfaces may be based on capability information of the devices and a tier entitlement associated with the user account. A service included in both the content interfaces may be assigned a same virtual channel in each of the content interfaces.

Abstract: Example embodiments relate to generation of dynamic content interfaces based on device capabilities and user entitlements. Multiple devices associated with a user account may each request a content interface. Generation of the content interfaces may be based on capability information of the devices and a tier entitlement associated with the user account. A service included in both the content interfaces may be assigned a same virtual channel in each of the content interfaces.

Abstract: Example embodiments relate to generation of dynamic content interfaces based on device capabilities and user entitlements. Multiple devices associated with a user account may each request a content interface. Generation of the content interfaces may be based on capability information of the devices and a tier entitlement associated with the user account. A service included in both the content interfaces may be assigned a same virtual channel in each of the content interfaces.

Abstract: Example embodiments relate to generation of dynamic content interfaces based on device capabilities and user entitlements. Multiple devices associated with a user account may each request a content interface. Generation of the content interfaces may be based on capability information of the devices and a tier entitlement associated with the user account. A service included in both the content interfaces may be assigned a same virtual channel in each of the content interfaces.

Abstract: Computer technology for substantially optimizing portfolios of multiple participants is disclosed. Preferably the portfolios of such multiple participants comprise fixed income instruments. The disclosed systems and methods include using at least one computer system for storing digital data representing portfolio holdings of multiple parties and, in particular, for each participant storing in the computer memory data representing constraints with respect to the desired portfolio. The method and system comprise optimizing using an optimization engine portfolio and constraint information of multiple participants so as to generate a set of trades that would substantially optimize participants portfolios with respect to a known objective.

Abstract: Computer technology for substantially optimizing portfolios of multiple participants is disclosed. Preferably the portfolios of such multiple participants comprise fixed income instruments. The disclosed systems and methods include using at least one computer system for storing digital data representing portfolio holdings of multiple parties and, in particular, for each participant storing in the computer memory data representing constraints with respect to the desired portfolio. The method and system comprise optimizing using an optimization engine portfolio and constraint information of multiple participants so as to generate a set of trades that would substantially optimize participants portfolios with respect to a known objective.

Abstract: Computer technology for substantially optimizing portfolios of multiple participants is disclosed. Preferably the portfolios of such multiple participants comprise fixed income instruments. The disclosed systems and methods include using at least one computer system for storing digital data representing portfolio holdings of multiple parties and, in particular, for each participant storing in the computer memory data representing constraints with respect to the desired portfolio. The method and system comprise optimizing using an optimization engine portfolio and constraint information of multiple participants so as to generate a set of trades that would substantially optimize participants portfolios with respect to a known objective.

Abstract: Computer technology for substantially optimizing portfolios of multiple participants is disclosed. Preferably the portfolios of such multiple participants comprise fixed income instruments. The disclosed systems and methods include using at least one computer system for storing digital data representing portfolio holdings of multiple parties and, in particular, for each participant storing in the computer memory data representing constraints with respect to the desired portfolio. The method and system comprise optimizing using an optimization engine portfolio and constraint information of multiple participants so as to generate a set of trades that would substantially optimize participants portfolios with respect to a known objective.