Abstract: A head-mountable device including a frame, a display positioned in the frame, a processor, and a facial interface connected to the frame. The facial interface can include a sensor electrically coupled to the processor. The sensor can collect biometric information from a nasal region of a user and generate a signal based on the biometric information.

Abstract: A head-mountable device including a housing, a display positioned in the housing, a processor positioned in the housing, and a retention band connected to the housing, the retention band comprising a sensor configured to monitor a brain activity of a user.

Abstract: An apparatus can include a display, a facial interface, and a connector between the display and the facial interface. The facial interface can at least translate or rotate relative to the display via the connector.

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: Processing a query for a database includes: receiving a portion of a query from a client device in a server implemented by at least one processor, the portion of the query comprising an incomplete component; determining that the incomplete component is one of multiple predefined types with the server; providing the incomplete component to an auto-complete function specific to the determined type of the incomplete component; receiving in the server a suggestion for completing the query from the auto-complete function, the suggestion being specific to the type of the incomplete component; and providing the suggestion from the server to the client device.

Abstract: Methods are provided for data processing in a multi-threaded processing arrangement. The methods include receiving a data processing task to be executed on data including a plurality of data records, the data having an associated record description including information relating to parameters or attributes of the plurality of data records. Based on the received data processing task, the record description is analyzed to determine an indication of expected workload for the data records. Further, the data is divided into a plurality of data sets. Based on the determined indication of expected workload for the data records, the data sets are allocated processing threads for parallel processing by a multi-threaded processing arrangement.

Abstract: Methods are provided for data processing in a multi-threaded processing arrangement. The methods include receiving a data processing task to be executed on data including a plurality of data records, the data having an associated record description including information relating to parameters or attributes of the plurality of data records. Based on the received data processing task, the record description is analyzed to determine an indication of expected workload for the data records. Further, the data is divided into a plurality of data sets. Based on the determined indication of expected workload for the data records, the data sets are allocated processing threads for parallel processing by a multi-threaded processing arrangement.

Abstract: A method of generating a sequence of commands to gather information using a directed tree graph includes providing a plurality of goals, each goal having a weighting, and a set of commands that lead to completion of the goals. A directed tree graph is constructed comprising a root node, respective leaf nodes associated with the goals, and one or more parent nodes. Each node is associated with one command, the command having the potential to complete any goals associated with the node and all the goals associated with any subordinate nodes. The priority of each command is determined, based on the sum of the goal weightings of leaf nodes subordinate to the node associated with the command. One or more commands is executed, a command having a higher priority being executed before a command having a lower priority.

Abstract: The present arrangements relate to analyzing a software error. At least one dump file created in response to a crash of software executing on a processing system can be accessed. Based on the dump file, a base version of at least one software module that was loaded when the crash occurred can be identified. Based on the dump file, maintenance that has been applied to the at least one software module also can be identified. A report recommending new corrective maintenance to be applied to the at least one software module can be generated.

Abstract: Methods are provided for data processing in a multi-threaded processing arrangement. The methods include receiving a data processing task to be executed on data including a plurality of data records, the data having an associated record description including information relating to parameters or attributes of the plurality of data records. Based on the received data processing task, the record description is analyzed to determine an indication of expected workload for the data records. Further, the data is divided into a plurality of data sets. Based on the determined indication of expected workload for the data records, the data sets are allocated processing threads for parallel processing by a multi-threaded processing arrangement.

Abstract: Methods are provided for data processing in a multi-threaded processing arrangement. The methods include receiving a data processing task to be executed on data including a plurality of data records, the data having an associated record description including information relating to parameters or attributes of the plurality of data records. Based on the received data processing task, the record description is analyzed to determine an indication of expected workload for the data records. Further, the data is divided into a plurality of data sets. Based on the determined indication of expected workload for the data records, the data sets are allocated processing threads for parallel processing by a multi-threaded processing arrangement.

Abstract: Methods are provided for data processing in a multi-threaded processing arrangement. The methods include receiving a data processing task to be executed on data including a plurality of data records, the data having an associated record description including information relating to parameters or attributes of the plurality of data records. Based on the received data processing task, the record description is analyzed to determine an indication of expected workload for the data records. Further, the data is divided into a plurality of data sets. Based on the determined indication of expected workload for the data records, the data sets are allocated processing threads for parallel processing by a multi-threaded processing arrangement.

Abstract: Methods are provided for data processing in a multi-threaded processing arrangement. The methods include receiving a data processing task to be executed on data including a plurality of data records, the data having an associated record description including information relating to parameters or attributes of the plurality of data records. Based on the received data processing task, the record description is analyzed to determine an indication of expected workload for the data records. Further, the data is divided into a plurality of data sets. Based on the determined indication of expected workload for the data records, the data sets are allocated processing threads for parallel processing by a multi-threaded processing arrangement.

Abstract: Creating additional trace entries by dynamically processing recently captured output data, working data, and input data to diagnose a software error. Integrating additional trace entries in chronological order with conventional trace entries into a single trace dataset for analysis.

Abstract: A method of generating a sequence of commands to gather information using a directed tree graph includes providing a plurality of goals, each goal having a weighting, and a set of commands that lead to completion of the goals. A directed tree graph is constructed comprising a root node, respective leaf nodes associated with the goals, and one or more parent nodes. Each node is associated with one command, the command having the potential to complete any goals associated with the node and all the goals associated with any subordinate nodes. The priority of each command is determined, based on the sum of the goal weightings of leaf nodes subordinate to the node associated with the command. One or more commands is executed, a command having a higher priority being executed before a command having a lower priority.

Abstract: Creating additional trace entries by dynamically processing recently captured output data, working data, and input data to diagnose a software error. Integrating additional trace entries in chronological order with conventional trace entries into a single trace dataset for analysis.

Abstract: Creating additional trace entries by dynamically processing recently captured output data, working data, and input data to diagnose a software error. Integrating additional trace entries in chronological order with conventional trace entries into a single trace dataset for analysis.

Abstract: Creating additional trace entries by dynamically processing recently captured output data, working data, and input data to diagnose a software error. Integrating additional trace entries in chronological order with conventional trace entries into a single trace dataset for analysis.

Abstract: Methods are provided for data processing in a multi-threaded processing arrangement. The methods include receiving a data processing task to be executed on data including a plurality of data records, the data having an associated record description including information relating to parameters or attributes of the plurality of data records. Based on the received data processing task, the record description is analyzed to determine an indication of expected workload for the data records. Further, the data is divided into a plurality of data sets. Based on the determined indication of expected workload for the data records, the data sets are allocated processing threads for parallel processing by a multi-threaded processing arrangement.

Abstract: Methods are provided for data processing in a multi-threaded processing arrangement. The methods include receiving a data processing task to be executed on data including a plurality of data records, the data having an associated record description including information relating to parameters or attributes of the plurality of data records. Based on the received data processing task, the record description is analyzed to determine an indication of expected workload for the data records. Further, the data is divided into a plurality of data sets. Based on the determined indication of expected workload for the data records, the data sets are allocated processing threads for parallel processing by a multi-threaded processing arrangement.