Abstract: The present invention provides azeotropic or azeotrope-like compositions comprising 1234yf and at least one component selected from a group comprising of R-134, and R-134a. The compositions of the present invention are useful as refrigerants, heat transfer fluids, foam blowing agents, aerosol propellants, and fire suppression and fire extinguishing agents.

Abstract: The present invention relates to a compound selected from Formula I and a process for preparing the same, wherein, R2, T, L1, A, G, J, n, W, Z and Z1 are each as defined in the description. The invention also relates to the combination and composition comprising the compound of Formula I.

Abstract: A method and system for providing therapy to an individual, the method comprising: transmitting a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing mobility of the individual in association with the time period; generating a survey dataset upon retrieving responses provided by the individual to at least one of a set of surveys, associated with a set of time points of the time period; generating a predictive model from a passive dataset derived from the log of use dataset and the supplementary dataset and the survey dataset; generating a report summarizing a mental health state of the individual, associated with at least a portion of the time period, from the passive dataset, the survey dataset, and an output of the predictive model; and rendering information from the report to a coach associated with the individual.

Abstract: A method and system for providing therapy to an individual, the method comprising: transmitting a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing mobility of the individual in association with the time period; generating a survey dataset upon retrieving responses provided by the individual to at least one of a set of surveys, associated with a set of time points of the time period; generating a predictive model from a passive dataset derived from the log of use dataset and the supplementary dataset and the survey dataset; generating a report summarizing a mental health state of the individual, associated with at least a portion of the time period, from the passive dataset, the survey dataset, and an output of the predictive model; and rendering information from the report to a coach associated with the individual.

Abstract: A method and system for providing therapy to an individual, the method comprising: transmitting a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing mobility of the individual in association with the time period; generating a survey dataset upon retrieving responses provided by the individual to at least one of a set of surveys, associated with a set of time points of the time period; generating a predictive model from a passive dataset derived from the log of use dataset and the supplementary dataset and the survey dataset; generating a report summarizing a mental health state of the individual, associated with at least a portion of the time period, from the passive dataset, the survey dataset, and an output of the predictive model; and rendering information from the report to a coach associated with the individual.

Abstract: A method and system for providing therapy to an individual, the method comprising: transmitting a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing mobility of the individual in association with the time period; generating a survey dataset upon retrieving responses provided by the individual to at least one of a set of surveys, associated with a set of time points of the time period; generating a predictive model from a passive dataset derived from the log of use dataset and the supplementary dataset and the survey dataset; generating a report summarizing a mental health state of the individual, associated with at least a portion of the time period, from the passive dataset, the survey dataset, and an output of the predictive model; and rendering information from the report to a coach associated with the individual.

Abstract: A method and system for providing therapy to an individual, the method comprising: transmitting a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing mobility of the individual in association with the time period; generating a survey dataset upon retrieving responses provided by the individual to at least one of a set of surveys, associated with a set of time points of the time period; generating a predictive model from a passive dataset derived from the log of use dataset and the supplementary dataset and the survey dataset; generating a report summarizing a mental health state of the individual, associated with at least a portion of the time period, from the passive dataset, the survey dataset, and an output of the predictive model; and rendering information from the report to a coach associated with the individual.

Abstract: A method and system for providing therapy to an individual, the method comprising: transmitting a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing mobility of the individual in association with the time period; generating a survey dataset upon retrieving responses provided by the individual to at least one of a set of surveys, associated with a set of time points of the time period; generating a predictive model from a passive dataset derived from the log of use dataset and the supplementary dataset and the survey dataset; generating a report summarizing a mental health state of the individual, associated with at least a portion of the time period, from the passive dataset, the survey dataset, and an output of the predictive model; and rendering information from the report to a coach associated with the individual.

Abstract: A method and system for providing therapy to an individual, the method comprising: transmitting a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing mobility of the individual in association with the time period; generating a survey dataset upon retrieving responses provided by the individual to at least one of a set of surveys, associated with a set of time points of the time period; generating a predictive model from a passive dataset derived from the log of use dataset and the supplementary dataset and the survey dataset; generating a report summarizing a mental health state of the individual, associated with at least a portion of the time period, from the passive dataset, the survey dataset, and an output of the predictive model; and rendering information from the report to a coach associated with the individual.

Abstract: Entropy based image segmentation determines entropy values for pixels in an image based on intensity or edge orientation. One or more threshold values are determined as a fraction of the entropy distribution over the image. For example, high and/or low thresholds may be generated to identify regions in the image associated with trees or sky, respectively. The entropy values are compared to the threshold(s) from which regions within the image can be segmented. Intensity based entropy has no structural information, and thus, proximity based clustering and pruning of the entropy points is performed. A mask may be applied to the segmented regions to remove the regions from the image, which is useful in, e.g., objection recognition processes. Additionally, separate buildings may be identified and segmented using edge orientation entropy with clustering and pruning.

Abstract: Disclosed is an apparatus for providing remote testing and monitoring of equipment backup batteries at the location of the batteries. The testing can be accomplished upon command from a remote terminal or remote agent as well as in accordance with predetermined parameters programmed into a processor at the remote site. The test is accomplished using the normal site load while reducing the amplitude of the DC (direct current) output voltage, obtained from an AC (alternating current) rectifier used at the site, from a battery charging “float” level amplitude during the duration of the test. The discharge curve obtained during the test is compared with previous and/or standardized curves to ascertain the condition of the battery tested and/or the likelihood of near future failure of the battery tested.