Abstract: A machine-implemented method for supporting a natural language user request against a user's personal data cloud can include a machine receiving the natural language user request from the user, determining a semantic interpretation of the natural language user request, querying a semantically-indexed, integrated knowledge store based on the semantic interpretation, and responding to the natural language user request by displaying results of the querying, wherein the results correspond to an item within the user's personal data cloud.

Abstract: A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.

Abstract: The invention provides methods, compositions, uses of compositions, assays and kits for modulating brown adipose tissue (BAT) in animals and patients with obesity, insulin resistance and perturbed glucose homeostasis are disclosed. Accordingly, methods, compositions, uses of compositions, and kits are useful for the amelioration of pathological conditions characterized by storage of excess energy, insulin resistance and related metabolic syndromes often associated with obesity.

Abstract: The present disclosure extends to methods, systems, and computer program products for providing collaboration among users within a group for improved communication and scheduling.

Abstract: The present disclosure extends to methods, systems, and computer program products for providing collaboration among users within a group and to provide improved scheduling and reports based on group characteristics.

Abstract: A machine-implemented method for supporting a natural language user request against a user's personal data cloud can include a machine receiving the natural language user request from the user, determining a semantic interpretation of the natural language user request, querying a semantically-indexed, integrated knowledge store based on the semantic interpretation, and responding to the natural language user request by displaying results of the querying, wherein the results correspond to an item within the user's personal data cloud.

Abstract: An apparatus and computer-implemented method for enhancing a calendar view on a device comprising extracting data from a user's linked data store, processing the data to recognize one or more entities within the data, inferring correlations between the entities, supplementing existing calendar entries on the user's device with the inferred correlations, creating new entities and displaying one or more actions to the user based on the context of a selected calendar entry.

Abstract: A method and apparatus for implementation of PLL minimum frequency via voltage comparison have been described.

Abstract: A machine-implemented method for supporting a natural language user request against a user's personal data cloud can include a machine receiving the natural language user request from the user, determining a semantic interpretation of the natural language user request, querying a semantically-indexed, integrated knowledge store based on the semantic interpretation, and responding to the natural language user request by displaying results of the querying, wherein the results correspond to an item within the user's personal data cloud.

Abstract: A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.