Abstract: Providing to a person a health service for a health condition includes receiving, from a health sensor of a mobile health device over an initial period, a plurality of initial values of health metrics of the person associated with performance of the health service, determining, based on the initial values, baseline values of the health metrics for the person, receiving, from the health sensor at a time after the initial period, an additional value corresponding to at least one of the health metrics, and determining whether the additional value represents an irregularity with respect to the baseline values for the person. Providing to a person a health service for a health condition may also include, if it is determined that the additional value represents an irregularity with respect to the baseline values, communicating the irregularity to a provider of the health service.

Abstract: The present invention relates to methods, systems, and computer readable media comprising instructions for rescaling human judgment data for one or more items of content. The method of the present invention comprises generating one or more test sets comprising one or more items of content and generating one or more benchmark sets comprising one or more items of content common to each of the test sets. Judgment data for the one or more items of content comprising the one or more test sets from one or more human editors is received. A variation correction factor and a drift correction factor are identified for each of the one or more human editors. The variation correction factor and drift correction factor associated with each respective human editor are thereafter applied to the one or more items of content comprising the test set for which each human editor provided judgment data.

Abstract: The present invention relates to methods, systems, and computer readable media comprising instructions for rescaling human judgment data for one or more items of content. The method of the present invention comprises generating one or more test sets comprising one or more items of content and generating one or more benchmark sets comprising one or more items of content common to each of the test sets. Judgment data for the one or more items of content comprising the one or more test sets from one or more human editors is received. A variation correction factor and a drift correction factor are identified for each of the one or more human editors. The variation correction factor and drift correction factor associated with each respective human editor are thereafter applied to the one or more items of content comprising the test set for which each human editor provided judgment data.

Abstract: A method for classifying polymorphic computer software by extracting features from a suspect file and comparing the extracted features to features of known classes of software.

Abstract: The present invention is a system for transmitting a digital signal which includes an encoder, a perceptual encrypting system and a transmitter. The encoder band-compression encodes a first digital signal as encoded data defining an image. The perceptual encrypting system is coupled to the and perceptually encrypts the encoded data to generate restricted video data as perceptually encrypted encoded data. The transmitter is coupled to the perceptual encrypting system and transmits the perceptually encrypted encoded data. A combined receiver and decoder for the restricted video data as perceptually encrypted encoded data includes a receiver and a decoder. The receiver receives the perceptually encrypted encoded data. The decoder is coupled to the receiver and decodes the perceptually encrypted encoded data to generate low quality video.