Abstract: A computer-implemented method of using channel tuning data from a video asset viewing device connected to a network to measure video asset viewing at a second-by-second level during one or more user defined lead-in periods, and then correlating that with video asset viewing during a user defined target period, for the purpose of analyzing how viewing activity during the lead-in period(s) correlates with viewing activity during the target period, thus producing longitudinal viewing metrics; all while maintaining viewer anonymity. Additionally, viewing metrics can be categorized based on user defined demographic, geographic, and histogram groupings representing the percentage of video asset viewing with the result that the analyst is able to gain detailed insight into customer viewing behavior. The lead-in video asset may be any video asset or assets. The target may be any subsequent video asset. The metrics produced are useful to service providers, advertisers, and content producers.

Abstract: A computer-implemented method of using channel tuning data from a video asset viewing device connected to a network to measure video asset viewing at a second-by-second level during one or more user defined lead-in periods, and then correlating that with video asset viewing during a user defined target period, for the purpose of analyzing how viewing activity during the lead-in period(s) correlates with viewing activity during the target period, thus producing longitudinal viewing metrics; all while maintaining viewer anonymity. Additionally, viewing metrics can be categorized based on user defined demographic, geographic, and histogram groupings representing the percentage of video asset viewing with the result that the analyst is able to gain detailed insight into customer viewing behavior. The lead-in video asset may be any video asset or assets. The target may be any subsequent video asset. The metrics produced are useful to service providers, advertisers, and content producers.

Abstract: A computer-implemented method of processing set-top box channel tuning data resulting in channel viewing activity at a second-by-second level which is then correlated with video asset schedule data, program attribute data, and optionally, targeted content delivery data and demographic data, to measure (a) actual television viewing seconds, (b) viewing audience of an advertisement or program during each second that it aired, (c) aggregate viewing audience for each second that an advertisement or program aired, (d) ad seconds viewed controlling for factors such as time of day, product, program, (e) response of various demographic groups to advertisements, and (f) effectiveness of targeted content against non-targeted content as measured in actual viewing seconds; all while maintaining viewer anonymity. The metrics produced are useful to service providers, advertisers, and content producers.

Abstract: Compounds and methods of selectively inhibiting an immunoproteasome are described. Also described are methods of treating a cancer, an inflammation, and/or an autoimmune disease and methods of suppressing endogenous antigenic peptide generation by administering to a subject in need of treatment thereof a therapeutic amount of an immunoproteasome specific inhibitor.

Abstract: A computer-implemented method of analyzing a series of events which may overlap but which can be characterized by various non-uniform starting times and varying durations such as the interactions of human beings with electronic devices that communicate with a computer system accessed through a network. The resulting metrics provide information useful for understanding human behavior; understanding various combinations of who uses the devices, when do they use the devices, and the purpose for which they use the devices; understanding resource consumption, and understanding device usage for the benefit of service providers. One embodiment teaches how to use set-top box channel tuning data to calculate metrics which provide detailed insight into who watches television, when they watch, and what they watch along with metrics needed to manage capacity in a Switched Digital Video system. Another embodiment relates to cell phone/personal communication device usage based on call detail records.