Abstract: Methods, devices and systems are disclosed for inter-app communications between software applications on a mobile communications device. In one aspect, a computer-readable medium on a mobile computing device comprising an inter-application communication data structure to facilitate transitioning and distributing data between software applications in a shared app group for an operating system of the mobile computing device includes a scheme field of the data structure providing a scheme id associated with a target software app to transition to from a source software app, wherein the scheme id is listed on a scheme list stored with the source software app; and a payload field of the data structure providing data and/or an identification where to access data in a shared file system accessible to the software applications in the shared app group, wherein the payload field is encrypted.

Abstract: A shingle coating asphalt composition is provided that is produced from a paving grade asphalt. The asphalt composition comprises a paving-grade asphalt that has been modified with one or more polymer additives; and a secondary additive comprising one or more of a viscosity reducing agent, a wax, a salt of a fatty acid ester, and an amide of a fatty acid. The shingle coating asphalt coating composition is used to make a shingle. The shingle includes a substrate, the asphalt, and roofing granules.

Abstract: Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.

Abstract: A multi-activity system may be configured to receive, upload, synchronize and process data for a variety of different activity types and/or recorded using multiple types of activity monitoring devices. In one example, an application interface may be defined with a multiple functions that are each useable by various types of devices and for processing multiple types of data. Additionally or alternatively, data for different activity types and/or recorded using different types of monitoring devices may be processed differently. Synchronization of data may further be handled on a device-by-device basis, device-type basis and/or activity-type basis using various tracking parameters.

Abstract: A multi-activity system may be configured to receive, upload, synchronize and process data for a variety of different activity types and/or recorded using multiple types of activity monitoring devices. In one example, an application interface may be defined with a multiple functions that are each useable by various types of devices and for processing multiple types of data. Additionally or alternatively, data for different activity types and/or recorded using different types of monitoring devices may be processed differently. Synchronization of data may further be handled on a device-by-device basis, device-type basis and/or activity-type basis using various tracking parameters.

Abstract: A multi-activity system may be configured to receive, upload, synchronize and process data for a variety of different activity types and/or recorded using multiple types of activity monitoring devices. In one example, an application interface may be defined with a multiple functions that are each useable by various types of devices and for processing multiple types of data. Additionally or alternatively, data for different activity types and/or recorded using different types of monitoring devices may be processed differently. Synchronization of data may further be handled on a device-by-device basis, device-type basis and/or activity-type basis using various tracking parameters.