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: 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: A sensing and stimulation system includes a central hub, and a plurality of flexible arms extending from the central hub. Each of the arms includes at least one electrode and at least one sensor. Each of the arms is configured to perform sensing and stimulation including electrically stimulating biological material, and sensing biological responses and changes. The system includes a port configured to be alternatively connected to a remote control module for wireless operation of the system and a leaded connector for wired operation of the system.

Abstract: A computing system has a user interface allowing a user to view and input data related to concepts in a knowledge area associated with the user, an observation sub-system to centralize data and to identify a plurality of knowledge concepts, a conceptualization sub-system to generate a plurality of nodes within an ontological mapping, wherein each of the nodes corresponds to a certain one of the plurality of identified knowledge concepts identified by the observation sub-system, a relationship identification sub-system to create relationships between at least some of the plurality of identified knowledge concepts, and attribute affinity weights to the relationships, a change refinement sub-system to modify at least one of the plurality of nodes, affinity weights and relationships based upon information associated with the user, and a non-transitory knowledge store to store the information associated with the user pertaining to a sub-plurality of the plurality of identified knowledge concepts.

Abstract: The present invention relates to the method to identify the source of a signature signal by processing sparse digital data collected by a sensor system in a laboratory, field, or other application. The invention specifically addresses weak, obscured, or partially sampled signatures collected by a sensor system. The method takes advantage of all sources of data using an innovative method that uses Bayes Theorem for performing probability arithmetic and statistical inference. The method requires an exclusive and exhaustive library of candidate signatures. The method finds the most likely signature candidate from the library that has the highest likelihood of being responsible for the measured signal. In addition, the method can work with mixtures of library candidates to find the most likely mixture that explain the data. The method is applicable to a variety of sensor systems that collect and digitize data as signal strength (ordinate) versus measurement attribute (abscissa).

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 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: A computing system has a user interface allowing a user to view and input data related to concepts in a knowledge area associated with the user, an observation sub-system to centralize data and to identify a plurality of knowledge concepts, a conceptualization sub-system to generate a plurality of nodes within an ontological mapping, wherein each of the nodes corresponds to a certain one of the plurality of identified knowledge concepts identified by the observation sub-system, a relationship identification sub-system to create relationships between at least some of the plurality of identified knowledge concepts, and attribute affinity weights to the relationships, a change refinement sub-system to modify at least one of the plurality of nodes, affinity weights and relationships based upon information associated with the user, and a non-transitory knowledge store to store the information associated with the user pertaining to a sub-plurality of the plurality of identified knowledge concepts.

Abstract: A method of operating a machine having a lockable differential includes monitoring a first operating parameter indicative of wheel slip, and monitoring a second operating parameter different from the first parameter, the method further including controlling locking and unlocking of the differential responsive to the second operating parameter. A machine is provided having an electronic controller including software control logic for controlling locking and unlocking of a differential, the electronic controller being configured to lock the differential where the machine is in an operating mode where wheel slip is likely, such as a digging/dozing mode. Satisfaction of criteria for locking may be recognition by the controller of a predetermined pattern of sensor inputs corresponding with a likely wheel slip condition, or actual slip detection.

Abstract: The present invention provides an apparatus and method for efficiently dislodging and extracting at least a portion of solid materials from one or more reactor tubes of shell-and-tube reactors without damage to at least a portion of the solid materials which would otherwise render the solid materials unsuitable for re-use. The apparatus has at least one rod, a rotator assembly for rotating the rod, and a transmission assembly for applying an axially-directed force to insert the rod into a corresponding reactor tube and dislodging solid materials therein. The rod is also in fluid communication with an aspirator for extraction of dislodged solid materials. When the apparatus has more than one rod, they are arranged in a configuration matching the pattern of the reactor tubes and each rod is in axial alignment with a corresponding reactor tube.

Abstract: A method of operating a machine having a lockable differential includes monitoring a first operating parameter indicative of wheel slip, and monitoring a second operating parameter different from the first parameter, the method further including controlling locking and unlocking of the differential responsive to the second operating parameter. A machine is provided having an electronic controller including software control logic for controlling locking and unlocking of a differential, the electronic controller being configured to lock the differential where the machine is in an operating mode where wheel slip is likely, such as a digging/dozing mode. Satisfaction of criteria for locking may be recognition by the controller of a predetermined pattern of sensor inputs corresponding with a likely wheel slip condition, or actual slip detection.

Abstract: A preferred embodiment of the invention enables I/O port POST codes to be accessed via a universal serial bus (“USB”) port of the computer system: BIOS writes an I/O port POST code to a USB port. A device coupled to the USB port reads the I/O port POST code and presents the code on a display.

Abstract: A vehicle includes at least one wheel, a parking brake associated with the at least one wheel and a service brake associated with the at least one wheel, and a braking control system. The braking control system interprets operator on/off commands to the parking brake. The service brakes are actuated instead of or in addition to the parking brake when a parking brake application is ordered and the vehicle speed falls outside a preferred vehicle speed range. If the vehicle is stopped and the parking brake is engaged, the parking brake is not disengaged responsive to an operator command until the service brake condition is within a preferred ready range.

Abstract: Methods are described for measuring the activity of dual substrate enzymes and for identifying compounds that inhibit such enzymes. The disclosed methods use a capture resin to bind to a first substrate of the dual substrate enzyme and a separation step to remove unreacted radiolabeled second substrate and the amount of radiolabeled first substrate is then measured by scintillation counting.

Abstract: A vehicle includes at least one wheel, a parking brake associated with the at least one wheel and a service brake associated with the at least one wheel, and a braking control system. The braking control system interprets operator on/off commands to the parking brake. The service brakes are actuated instead of or in addition to the parking brake when a parking brake application is ordered and the vehicle speed falls outside a preferred vehicle speed range. If the vehicle is stopped and the parking brake is engaged, the parking brake is not disengaged responsive to an operator command until the service brake condition is within a preferred ready range.