Abstract: Embodiments are directed to an automated control system having a memory and a processor system communicatively coupled to the memory. The processor system is configured to perform a method including determining that a body area network of an occupant of a vehicle has reported, during operation of the vehicle, a medical emergency event, and controlling operation of the vehicle based at least in part on the determination that the body area network of the occupant has reported an emergency event.

Abstract: Social media databases are minded for data related to a subject person. The data in indicative of a level of ultraviolet light exposure of the subject person. An ultraviolet violet exposure profile for the subject person is generated based upon the data and a health assessment report provided. The data may include timestamped images of the subject person and other related persons. The skin characteristics within images are analysed to determine an ultraviolet light exposure level for the subject person from each image. The skin characteristics may include skin colour, freckling and blemishing. The ultraviolet light exposure profile may be developed over an extended interval based upon the image timestamps. The health report may be used to mitigate risks, such as skin cancer, associated with exposure to ultraviolet light.

Abstract: Social media databases are minded for data related to a subject person. The data in indicative of a level of ultraviolet light exposure of the subject person. An ultraviolet violet exposure profile for the subject person is generated based upon the data and a health assessment report provided. The data may include timestamped images of the subject person and other related persons. The skin characteristics within images are analyzed to determine an ultraviolet light exposure level for the subject person from each image. The skin characteristics may include skin color, freckling and blemishing. The ultraviolet light exposure profile may be developed over an extended interval based upon the image timestamps. The health report may be used to mitigate risks, such as skin cancer, associated with exposure to ultraviolet light.

Abstract: A drone-based microbial analysis system includes an electronic drone control facility including an electronic storage memory device. The storage memory device stores information including a location of at least one possible contaminated area previously determined to contain at least one positively-tested microbe. At least one drone vehicle is in signal communication with the drone control facility and autonomously navigates to the at least one possible contaminated area to collect a specimen. The drone control facility performs a microbial analysis based on the collected specimen and confirms the at least one possible contaminated area is a positively contaminated area that contains at least one microbe based on the microbial analysis.

Abstract: A drone-based microbial analysis system includes an electronic drone control facility including an electronic storage memory device. The storage memory device stores information including a location of at least one possible contaminated area previously determined to contain at least one positively-tested microbe. At least one drone vehicle is in signal communication with the drone control facility and autonomously navigates to the at least one possible contaminated area to collect a specimen. The drone control facility performs a microbial analysis based on the collected specimen and confirms the at least one possible contaminated area is a positively contaminated area that contains at least one microbe based on the microbial analysis.

Abstract: A technique for defragmenting jobs on processor-based computing resources including: (i) determining a first defragmentation condition, which first defragmentation condition will be determined to exist when it is favorable under a first energy consideration to defragment the allocation of jobs as among a set of processor-based computing resources of a supercomputer (for example, a compute-card-based supercomputer); and (ii) on condition that the first defragmentation condition exists, defragmenting the jobs on the set of processor-based computing resources.

Abstract: A drone-based microbial analysis system includes an electronic drone control facility including an electronic storage memory device. The storage memory device stores information including a location of at least one possible contaminated area previously determined to contain at least one positively-tested microbe. At least one drone vehicle is in signal communication with the drone control facility and autonomously navigates to the at least one possible contaminated area to collect a specimen. The drone control facility performs a microbial analysis based on the collected specimen and confirms the at least one possible contaminated area is a positively contaminated area that contains at least one microbe based on the microbial analysis.

Abstract: In an approach for determining a preferred learning style of the user, a computer receives user information of a user. The computer collects data for user model development, wherein data includes actions performed by the user. The computer creates one or more associations between actions in the collected data for user model development and received user information. The computer determines a preferred learning style of the user based on the created one or more associations.

Abstract: Training a machine to provide specialized health care apparatus may include receiving text describing a user's health condition via a user interface. Text may be converted into corresponding medical terms. A database may be searched for a list of health care providers treating health conditions associated with the medical terms. A machine learning model may be built that may include user preference for a predefined set of features associated with the user's health condition and health care provider preference for the predefined set of features in treating the user's health condition. The machine learning model may predict one or more of the health care providers that provide treatment for the user's health condition that matches the user's preference. The machine learning model may be retrained based on one or more of feedback from the user, the health care providers, and updated traits of the users and the health care providers.

Abstract: A technique for defragmenting jobs on processor-based computing resources including: (i) determining a first defragmentation condition, which first defragmentation condition will be determined to exist when it is favorable under a first energy consideration to defragment the allocation of jobs as among a set of processor-based computing resources of a supercomputer (for example, a compute-card-based supercomputer); and (ii) on condition that the first defragmentation condition exists, defragmenting the jobs on the set of processor-based computing resources.

Abstract: A technique for defragmenting jobs on processor-based computing resources including: (i) determining a first defragmentation condition, which first defragmentation condition will be determined to exist when it is favorable under a first energy consideration to defragment the allocation of jobs as among a set of processor-based computing resources of a supercomputer (for example, a compute-card-based supercomputer); and (ii) on condition that the first defragmentation condition exists, defragmenting the jobs on the set of processor-based computing resources.

Abstract: Disclosed is a novel system and method for adjusting a flight path of an aircraft. The method begins with computing a flight path of an aircraft from a starting point to an ending point which incorporates predicted weather effects at different points in space and time. An iterative loop is entered for the flight path. Each of the following steps are performed in the iterative loop. First lift data is accessed from a fine-grain weather model associated with a geographic region of interest. The lift data is data to calculate a force that directly opposes a weight of the aircraft. In addition, lift data is accessed from sensors coupled to the aircraft. The lift data is one or more of 1) thermal data, 2) ridge lift data, 3) wave lift data, 3) convergence lift data, and 4) a dynamic soaring lift data. Numerous embodiments are disclosed.

Abstract: An information processing system, computer readable storage medium, and methods for analyzing the airflow related health of a person. A method includes obtaining an audio sample of a person's verbal communication, obtaining geographic information of the person, querying a remote server based on the geographic information, and obtaining additional information from the remote server, the additional information being related to the geographic information, and extracting contours of amplitude change from the at least one audio sample over a period of time, the contours of amplitude change corresponding to changes in an airflow profile of the person. The method further includes correlating the contours of amplitude change with periodic episodes typical of airflow related health problems, and determining, based at least on the additional information, whether the contours of amplitude change result from at least one local environmental factor related to the geographic information.

Abstract: Translocation events are sensed using composite nanopore assemblies including nanopores formed in graphene sheets. Single molecule detection and characterization and multi-molecule characterization and identification are provided using such assemblies. Multiple electrodes associated with nanofluidic sensors facilitate detection of ionic current through a nanopore as well as tunneling currents. Current signals of individual molecules are estimated from the combination of an ionic current signal through the nanopore and tunneling current signals obtained at specific locations within the nanopore.

Abstract: A method, system, and/or computer program product establish a data organization format for displaying data to a specific user. A first set of data, which is organized according to a user-selected data organization format, is received from a user. A cognition bias, which defines a preferred manner in which the user cognitively interprets data, is identified by being associated with the user-selected data organization format. The cognition bias is also associated with one or more other data organization formats that support the cognition bias. A second set of data is received and formatted using the one or more other data organization formats that also support the cognition bias. The second set of data is then displayed using the one or more data organization formats that also support the cognition bias.

Abstract: Ultraviolet light poses both health benefits and health risks. A method, device and computer storage program balances the health risks and benefits ultraviolet light exposure with personal sensitivities and preferences for these health risks and benefits. An ultraviolet violet light exposure level of a subject person is estimated by monitoring data from a plurality of sources. A personal sensitivity to ultraviolet light exposure is also estimated from data from various sources. A recommendation for the subject person is generated based upon the estimated risks and benefits of ultraviolet light exposure.

Abstract: A method for detecting an emotional stressor in a network includes detecting changes in emotions of users of the network, correlating individual ones of the changes in emotions, in accordance with a map that illustrates spatial, social, or temporal connections of the users, and inferring a cause of at least one of the changes in emotion, based on the correlating. A computer program product for detecting an emotional stressor in a network comprises a computer readable storage medium having program instructions embodied therewith. The program instructions are executable by a processor to cause the processor to perform a method including detecting changes in emotions of users of the network, correlating individual ones of the changes in emotions, in accordance with a map that illustrates spatial, social, or temporal connections of the users, and inferring a cause of at least one of the changes in emotion, based on the correlating.

Abstract: A system configured to manage battery energy of a mobile device includes a primary mobile device and at least one peer device. The primary mobile device includes a power unit, a main communication module to electrically communicate with a peer device, and a peer assisted module in electrical communication with the power unit and the main communication module. The peer assisted module determines an energy level of the energy unit, and determines a task to be executed by the peer device. The peer device receives the task transmitted from the primary mobile device. The peer device further includes a peer process management module that executes at least one computation that completes the task, and communicates a completed task to the primary mobile device.

Abstract: A system configured to manage battery energy of a mobile device includes a primary mobile device and at least one peer device. The primary mobile device includes a power unit, a main communication module to electrically communicate with a peer device, and a peer assisted module in electrical communication with the power unit and the main communication module. The peer assisted module determines an energy level of the energy unit, and determines a task to be executed by the peer device. The peer device receives the task transmitted from the primary mobile device. The peer device further includes a peer process management module that executes at least one computation that completes the task, and communicates a completed task to the primary mobile device.

Abstract: The seated posture of a subject person and a group of subject persons over a long term is analyzed to determine long-term health risk factors. Responses to the determined long-term health risk factors include posture improvement messages and group activity recommendations to reduce the long-term health risk factors as well as adjustments to reserves and premiums insuring costs associated with the long-term risks.