Abstract: A pervasive realtime framework supports the execution of realtime software applications with high-level functions that significantly reduce the effort and time needed to develop realtime software applications in a new operating environment paradigm in which realtime connections between network nodes are pervasive. The pervasive realtime framework handles the complex tasks of connecting to communicants, virtual areas, and other network resources, as well as switching those connections in response to user inputs and thereby enables software application developers to focus on developing high-level realtime software application functionality.

Abstract: A pervasive realtime framework supports the execution of realtime software applications with high-level functions that significantly reduce the effort and time needed to develop realtime software applications in a new operating environment paradigm in which realtime connections between network nodes are pervasive. The pervasive realtime framework handles the complex tasks of connecting to communicants, virtual areas, and other network resources, as well as switching those connections in response to user inputs and thereby enables software application developers to focus on developing high-level realtime software application functionality.

Abstract: A pervasive realtime framework supports the execution of realtime software applications with high-level functions that significantly reduce the effort and time needed to develop realtime software applications in a new operating environment paradigm in which realtime connections between network nodes are pervasive. The pervasive realtime framework handles the complex tasks of connecting to communicants, virtual areas, and other network resources, as well as switching those connections in response to user inputs and thereby enables software application developers to focus on developing high-level realtime software application functionality.

Abstract: A system and method for monitoring the health of a patient in a residential environment. An energy monitoring module is in communication with an electrical panel providing power to electrical devices in the residential environment. The energy monitoring module is operable to monitor energy consumed by the electrical devices. A data energy analysis engine collects energy data from the energy monitoring module over a period of time. A health data correlation engine determines a health condition of the patient based on the collected energy data.

Abstract: In association with a virtual area, a first network connection is established with a first network node present in the virtual area and a second network connection is established with a second network node present in the virtual area. Based on stream routing instructions, a stream router is created between the first network node and the second network node. The stream router includes a directed graph of processing elements operable to receive network data, process the received network data, and output the processed network data. On the first network connection, an input data stream derived from output data generated by the first network node is received in association with the virtual area. The input data stream is processed through the stream router to produce an output data stream. On the second network connection, the output data stream is sent to the second network node.

Abstract: An asthma analytics system provides asthma risk notifications in advance of predicted rescue usage events in order to help effect behavior changes in a patient to prevent those events from occurring. Rescue medication events, changes in environmental conditions, and other contextually relevant information are detected by sensors associated with the patient's medicament device/s and are collected from other sources, respectively, to provide a basis to determine a patient's risk score. This data is analyzed to determine the severity of the patient's risk for an asthma event and is used to send notifications accordingly.

Abstract: A method for shifting a multi-speed transmission for transmitting rotation between an input shaft and an output shaft for a marine vessel. The method includes providing a multi-speed transmission having first and second gears engaged by actuating first and second clutches, and providing first and second pressure sensors that measure first and second pressures within the first and second clutches, respectively. The method further includes performing a first shift from the first gear to the second gear by de-actuating the first clutch a first delay after the second clutch is actuated, then measuring the first and second pressures and determining a first shift pressure at which the first and second pressures are substantially equal while performing the first shift. The method further includes comparing the first shift pressure to a first pressure threshold range and adjusting the first delay when the first shift pressure is outside the first pressure threshold range.

Abstract: Examples of systems and methods for voice-based navigation in one or more virtual areas that define respective persistent virtual communication contexts are described. These examples enable communicants to use voice commands to, for example, search for communication opportunities in the different virtual communication contexts, enter specific ones of the virtual communication contexts, and bring other communicants into specific ones of the virtual communication contexts. In this way, these examples allow communicants to exploit the communication opportunities that are available in virtual areas, even when hands-based or visual methods of interfacing with the virtual areas are not available.

Abstract: Methods and materials for modulating low-nitrogen tolerance levels in plants are disclosed. For example, nucleic acids encoding low nitrogen tolerance-modulating polypeptides are disclosed as well as methods for using such nucleic acids to transform plant cells. Also disclosed are plants having increased low-nitrogen tolerance levels and plant products produced from plants having increased low-nitrogen tolerance levels.

Abstract: A modular barrier panel and a barrier formed therewith and methods and systems for construction of the panel and barrier. The panel includes an aboveground portion and a base portion. The aboveground portion includes a grid-like configuration having a plurality of vents that are sized to limit passage of a human therethrough but that enable viewing through the panel. The base portion includes a plurality of side-by-side, waffle-shaped sections with openings therethrough. The panels can be cast on-site, cured overnight, and immediately installed in the barrier formation. The panels are installed in a trench and the base portions are encased in concrete; the openings in the base allow the concrete to flow to both sides of the panel. Sensors, including cameras and vibration sensors, may be installed in the base section or in the foundation concrete or on the aboveground portion to detect actions on, over, or under the barrier.

Abstract: Methods and materials for modulating low-nitrogen tolerance levels in plants are disclosed. For example, nucleic acids encoding low nitrogen tolerance-modulating polypeptides are disclosed as well as methods for using such nucleic acids to transform plant cells. Also disclosed are plants having increased low-nitrogen tolerance levels and plant products produced from plants having increased low-nitrogen tolerance levels.

Abstract: In a network communications environment supporting realtime communications between respective network nodes of a user and other communicants in virtual areas each of which is associated with its own respective set of communicant members, a graphical user interface is provided in connection with the user's network node. The graphical user interface includes controls for establishing presence in respective ones of the virtual areas, managing realtime communications with other communicants in respective ones of the virtual areas, and presenting different views of communicants associated with the network communications environment.

Abstract: A pervasive realtime framework supports the execution of realtime software applications with high-level functions that significantly reduce the effort and time needed to develop realtime software applications in a new operating environment paradigm in which realtime connections between network nodes are pervasive. The pervasive realtime framework handles the complex tasks of connecting to communicants, virtual areas, and other network resources, as well as switching those connections in response to user inputs and thereby enables software application developers to focus on developing high-level realtime software application functionality.

Abstract: A method for determining delivery energy requirements includes determining a mass of individual partial loads that make up a total payload and a delivery address of each partial load. The method also includes determining possible delivery routes that cover the delivery addresses and for each possible delivery route, determining an expected traffic volume and initial projected energy requirement for a delivery vehicle, based at least in part on the masses and the delivery addresses of the partial loads, the projected energy requirement reflecting energy projected to complete a given possible delivery route based on the expected traffic volume and based on a decreasing total payload diminished by removing, from the total payload and for at least one partial load, the mass of a given partial load scheduled for delivery at a given delivery stop along the delivery route.

Abstract: Methods and systems are provided for a vehicle system. In one example, a method may include ascertaining a functional relationship between the driving resistance and the velocity vveh of a motor vehicle comprising an electrical machine as a torque source for the drive and a storage device for electrical energy.

Abstract: An application server predicts respiratory disease risk, rescue medication usage, exacerbation, and healthcare utilization using trained predictive models. The application server includes model modules and submodel modules, which communicate with a database server, data sources, and client devices. The submodel modules train submodels by determining submodel coefficients based on training data from the database server. The submodel modules further determine statistical analysis data and estimates for medication usage events, healthcare utilization, and other related events. The model modules combine submodels to predict respiratory disease risk, exacerbation, rescue medication usage, healthcare utilization, and other related information. Model outputs are provided to users, including patients, providers, healthcare companies, electronic health record systems, real estate companies and other interested parties.

Abstract: This description relates to insight into the asthma management habits of a patient or a plurality of patients. The provided information includes records of rescue medication usage events, records of controller medication events, and overall evaluations of a patients disease management. Users of the application may include both patients who may use the information to monitor their own habits or providers who may use the information to monitor patients or improve a patient's existing medication regimen.

Abstract: An application server predicts respiratory disease risk, rescue medication usage, exacerbation, and healthcare utilization using trained predictive models. The application server includes model modules and submodel modules, which communicate with a database server, data sources, and client devices. The submodel modules train submodels by determining submodel coefficients based on training data from the database server. The submodel modules further determine statistical analysis data and estimates for medication usage events, healthcare utilization, and other related events. The model modules combine submodels to predict respiratory disease risk, exacerbation, rescue medication usage, healthcare utilization, and other related information. Model outputs are provided to users, including patients, providers, healthcare companies, electronic health record systems, real estate companies and other interested parties.

Abstract: This description provides asthma risk notifications in advance of predicted rescue usage events in order to help effect behavior changes in a patient to prevent those events from occurring. Rescue medication events, changes in environmental conditions, and other contextually relevant information are detected by sensors associated with the patient's medicament device/s and are collected from other sources, respectively, to provide a basis to determine a patient's risk score. This data is analyzed to determine the severity of the patient's risk for an asthma event and is used to send notifications accordingly.

Abstract: Apparatus and methods relating to persistent network resource and virtual area associations for realtime collaboration include managing and displaying an object associated with a virtual area that supports establishment of respective presences of communicants operating respective client network nodes. Examples of the object include an object that has one or more user-modifiable property fields and an object that is associated with screen sharing functionality of the client network node.