Abstract: Techniques are described herein for applying a selective automated response to a distress call received at an emergency services system. The techniques include receiving a distress call from a user device in response to an emergency event. The distress call may be parsed to identify a location, an urgency index, and a nature of the emergency event. The distress call may be routed to an available dispatcher at a dispatcher terminal. Based at least on the location, the urgency index, and the nature of the emergency event, a response procedure to resolve the distress call may be identified. The dispatcher may communicate with a dispatched first responder at the location via a communication channel established between the dispatcher terminal and a mobile first responder terminal. The response procedure may be transmitted to the mobile first responder terminal.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for resource tracking and allocation are disclosed. In one aspect, a method includes the actions of receiving data that reflects characteristics of a user. The actions further include receiving data that reflects first medical resources that are available at a first healthcare facility. The actions further include receiving data that reflects second medical resources that are available at a second healthcare facility. The actions further include, based on the user data and medical resource data, determining whether to generate and output a recommendation for the user to visit the first or second healthcare facility. The actions further include, based on the user data and medical resource data, predicting the needs of the first and second healthcare facilities and generating and outputting recommendations to allocate medical resources according to those needs.

Abstract: Described herein are techniques for calculating a likelihood of infection for one or more individuals using heat maps. Such techniques may comprise receiving, in relation to an infectious disease, an indication of an infected individual, determining a first movement data for the infected individual, and updating density information included within one or more heat maps based on the first movement data for the infected individual. The techniques may further comprise determining a second movement data for at least one second individual and calculating a likelihood of infection for the at least one second individual based on the second movement data and the updated one or more heat maps.

Abstract: Techniques directed to utilizing networked devices to enhance user experience are described. In an example, sensor data received from sensor(s) associated with a facility can be used to determine a presence of a user equipment (UE) within or proximate to the facility. Based at least in part on the sensor data, an account associated with the UE can be accessed. Based at least in part on account data associated with the account, a distribution of network technology can be modified to temporarily enable the UE to access a service that is not otherwise available to at least one other UE within or proximate to the facility.

Abstract: Techniques are described for filtering location data in a dataset based at least on its representation of the actual location of a user device. In some embodiments, sensor data including location data associated with a user device located in an environment may be used to identify one or more prediction factors. The one or more prediction factors may be associated to embed a user behavior vector of a user based at least on the associations. The user behavior vector may be a representation of an environment class in which the environment may be classified. The location data is associated with the environment class.

Abstract: This disclosure relates to a composition comprising (a) a blend; (b) one or more fillers comprising at least one of carbon black, ferrite magnet powder, calcium carbonate, alumina trihydrate, magnesium hydroxide, talc, titanium dioxide, fibers, marble dust, cement dust, clay, feldspar, silica or glass, fumed silica, alumina, magnesium oxide, antimony oxide, zinc oxide, barium sulfate, calcium sulfate, aluminum silicate, calcium silicate, titanium dioxide, titanates, clay, nanoclay, organo-modified clay or nanoclay, glass microspheres, chalk, or any combination thereof. The cross-linking agents comprise organic peroxide, and the coagents comprise at least one of di- and tri-allyl cyanurates and isocyanurates, liquid and metallic multifunctional acrylates and methacrylates, zinc-based dimethacrylates and diacrylates, and functionalized polybutadiene resins and optionally (c) a cross-linking pack including cross-linking agents and coagents.

Abstract: Methods of the present invention comprise photoinactivation of catalase in combination with low-concentration peroxide solutions and/or ROS generating agents to provide antibacterial effects.

Abstract: A computing device of a telecommunication network can receive crowd-sourced Wi-Fi reports submitted by user equipment based on scans for beacon signals broadcast by Wi-Fi access points. From the crowd-sourced Wi-Fi reports, the computing device can determine when Licensed Assisted Access (LAA) transmissions over channels of an unlicensed spectrum are safe and are not expected to interfere with Wi-Fi transmissions.

Abstract: Techniques are described herein for developing a fingerprint map that may be used for 3D indoor localization. In one example, a network server may leverage a building footprint from an open source database with signal measurements taken by probing user devices from signal sources such as access point (AP) devices. The network server may use the signal measurements to remotely calculate corresponding 3D positions of the AP devices in a particular building. Further, the network server may use the building footprint and the calculated 3D positions of the AP devices as references for developing the fingerprint map for 3D indoor localization.

Abstract: A telemetry data computing engine may receive the telemetry data of a user device, via a network, and it may apply a machine learning algorithm to at least one telemetry data and generate a predicted location for the user device. The predicted location may be used to generate a location pattern for the user device and a user device profile for the user device. The user device profile may be routed to the wireless carrier core network.

Abstract: Techniques are disclosed for locating a user device in an indoor environment such as a building based at least on a building topology model using one or more Internet of Things (IoT) devices. Certain aspects of the techniques include detecting a presence of a user device in communication with an IoT device in a building, wherein the IoT device is associated with device attributes. The building is identified based at least on a building topology model that is associated with the building and the device attributes. The location of the IoT device is determined based at least on the building topology model. The user device is located relative to the location of the IoT device.

Abstract: Techniques are described for locating user devices in an indoor environment based at least on a building topology model. The techniques include detecting a presence of a user device in a building. The building may include ingress and egress points connecting defined spaces within the building. The locations of the individual ingress and egress points are identified based at least on the movement data of the user device. A building topology model may be generated using the locations of the individual ingress and egress points. To locate the user device at a given timestamp, one or more of the ingress and egress points passed through by the user device may be identified. The location of the user device may be determined based at least on the locations of the one or more ingress and egress points passed through by the user device mapped to the building topology model.

Abstract: Techniques directed to utilizing networked devices to enhance user experience are described. In an example, sensor data received from sensor(s) associated with a facility can be used to determine a presence of a user equipment (UE) within or proximate to the facility. Based at least in part on the sensor data, an account associated with the UE can be accessed. Based at least in part on account data associated with the account, a distribution of network technology can be modified to temporarily enable the UE to access a service that is not otherwise available to at least one other UE within or proximate to the facility.

Abstract: Methods of the present invention comprise photoinactivation of catalase in combination with low-concentration peroxide solutions and/or ROS generating agents to provide antibacterial effects.

Abstract: A photoacoustic catheter includes an elongated catheter body and a housing positioned near a distal end of the elongated catheter body. A length of multimode fiber extends through the elongated catheter body and has a distal end that is beveled at about 45° relative to a longitudinal axis of the multimode fiber and is positioned in the housing. An ultrasonic transducer, electrically connected to an electrical wire extending along the elongated catheter body, is positioned within the housing. A mirror element is also positioned within the housing and includes a mirror surface beveled at about 45° relative to the longitudinal axis of the multimode fiber. The catheter is operable to deliver an optical wave through the multimode fiber and to deliver an ultrasonic wave collinearly from the housing and out of an aperture of the housing to obtain optical data and ultrasonic data within a mammalian luminal organ.

Abstract: User equipment (UE) can include a spectrum analyzer to monitor characteristics of transmission channels. The user equipment can monitor a 600 MHz spectrum and associated channels, for example, to determine if the spectrum is free of interference or is currently occupied. The UE can analyze a received signal strength indication (RSSI), a reference signal received power (RSRP), a reference signal received quality (RSRQ), and signal-to-interference-plus-noise ratio (SINR), for example, to distinguish between types of interference if a channel is occupied. User equipment (UE) can aggregate data and report such data to a network device further aggregate the data and to generate reports. Network components can be deployed or optimized based at least in part on network metrics provided by individual UEs or aggregated data provided by a plurality of UEs. In some instances, the UE can be a mobile phone of a customer to gather metrics in a distributed manner.

Abstract: A computing device of a telecommunication network can receive crowd-sourced Wi-Fi reports submitted by user equipment based on scans for beacon signals broadcast by Wi-Fi access points. From the crowd-sourced Wi-Fi reports, the computing device can determine when Licensed Assisted Access (LAA) transmissions over channels of an unlicensed spectrum are safe and are not expected to interfere with Wi-Fi transmissions.

Abstract: Methicillin-resistant Staphylococcus aureus (MRSA) possesses array of strategies to evade antibiotics through mutational inactivation, hiding inside host immune cells or concealing inside the biofilm in a sessile form. We report a drug-free approach to eradicate MRSA through blue-light bleaching of staphyloxanthin (STX), an anti-oxidative carotenoid residing inside the cell membrane of S. aureus. The photobleaching process, uncovered through a transient absorption imaging study and quantitated by mass spectrometry, decomposes STX and sensitizes MRSA to reactive oxygen species attack. Consequently, photobleaching using low-level blue light exhibits high-level synergy when combined with low-concentration of hydrogen peroxide. Antimicrobial effectiveness of this synergistic therapy is validated in MRSA culture, MRSA-infected macrophage cells, biofilm, and a mouse wound infection model. Collectively, these findings highlight broad applications of STX photobleaching for MRSA-infected diseases.

Abstract: User equipment (UE) can include a spectrum analyzer to monitor characteristics of transmission channels. The user equipment can monitor a 600 MHz spectrum and associated channels, for example, to determine if the spectrum is free of interference or is currently occupied. The UE can analyze a received signal strength indication (RSSI), a reference signal received power (RSRP), a reference signal received quality (RSRQ), and signal-to-interference-plus-noise ratio (SINR), for example, to distinguish between types of interference if a channel is occupied. User equipment (UE) can aggregate data and report such data to a network device further aggregate the data and to generate reports. Network components can be deployed or optimized based at least in part on network metrics provided by individual UEs or aggregated data provided by a plurality of UEs. In some instances, the UE can be a mobile phone of a customer to gather metrics in a distributed manner.

Abstract: The techniques described herein involve analysis of communication data included in trace file(s) of device(s) involved in a communication. These trace file(s) may each include data associated with multiple layers of a communication protocol stack of a respective device or data associated with a single such layer. The techniques may further involve one or more of determination of performance metrics associated with data at a specific layer of a specific device, correlation of the data between layers of a device, or correlation of data across multiple device(s) involved in the communication. The performance metrics or correlated data may then be analyzed based on thresholds or models to determine whether the performance metrics or correlated data exhibits a degraded quality of user experience. Also or instead, graphic or textual representations of the performance metrics or correlated data may be generated.