Abstract: Methods and systems for determining a microbial risk assessment for an entity are provided. Microbial data and non-microbial data are received and identified as corresponding to the entity and one or more biological processes associated with the entity. The microbial data and non-microbial data are mapped to one or more risk vectors impacting a state of the one or more biological processes. One or more risk vector ratings are determined for the one or more risk vectors based on the microbial and non-microbial data. A microbial risk assessment including a microbial risk rating for the entity is determined based on the one or more risk vector ratings, where the microbial risk assessment is indicative of a risk of the one or more biological processes to the entity. An expected loss value for the one or more biological processes associated with the entity is determined based on the microbial risk assessment.

Abstract: A method, an apparatus, and a computer-readable medium for wireless communication are provided. In one aspect, the apparatus is configured to determine a target receiver power level for uplink transmissions received at the apparatus, to determine uplink power control information based on the determined target receiver power level for UL MU-MIMO transmission or UL OFDMA transmission, and to transmit a frame that includes the determined uplink power control information to a station scheduled by the apparatus for uplink transmission.

Abstract: A deep-learning based method evaluates similarities of entities in decentralized identity graphs. One or more processors represent a first identity profile as a first identity graph and a second identity profile as a second identity graph. The processor(s) compare the first identity graph to the second identity graph, which are decentralized identity graphs from different identity networks, in order to determine a similarity score between the first identity profile and the second identity profile. The processor(s) then implement a security action based on the similarity score.

Abstract: Techniques are disclosed for performing custom waypoint missions using an onboard computing device in communication with a movable object. The movable object can include a flight controller, and a communication system. The flight controller can be in communication with the onboard computing device which includes a processor and an onboard data manager. The onboard data manager can receive at least one input, determine one or more instructions to be performed by the at least one movable object based on the at least one input, generate movement commands to implement the one or more instructions, and send movement commands to the flight controller to be executed.

Abstract: A computing device identifies a plurality of metrics corresponding to one or more data sources. The device receives a first user input to add a first data visualization to a first visualization card in a first scene of the interactive presentation. In response to the first user input, and in accordance with a determination that the graphical user interface includes a prior scene having a second visualization card with a second data visualization, the device computes, for each metric, a respective parameter that measures a variability of values of the respective metric. The device identifies a subset of metrics based on the computed parameters and identifies a first metric to which the second data visualization corresponds. The device determines whether the first subset of metrics includes the first metric and displays a plurality of the generated data visualizations in accordance with the determination.

Abstract: A computing device displays, in a graphical user interface, a canvas region that includes one or more scenes. The one or more scenes include a first scene having a first visualization card. The device displays, in the graphical user interface, a recommendation region that includes one or more data visualizations. Each of the data visualizations corresponds to a respective metric of a data source. The respective metric has a respective temporal attribute. The device also displays, in the graphical user interface, a scene summary that includes, for each scene, a respective count of visualization cards corresponding to the scene, a respective count of text cards corresponding to the scene, a respective count of unique metrics corresponding to the scene, and a respective cumulative temporal span corresponding to the scene.

Abstract: A computing device receives a user input to add a data visualization to a first visualization card in a first scene of an interactive presentation. In response to the user input, when the first scene is an initial scene to be added, the device computes, for each metric of a plurality of metrics, a respective parameter that measures the variability of values of the respective metric, and identifies a first subset of metrics based on the computed parameters. The device generates a respective data visualization for each metric. The device displays a plurality of the generated data visualizations. The device receives user selection of a first data visualization of the plurality of data visualizations, corresponding to a first metric of the subset of metrics. In response to the user selection, the device populates the first visualization card with the first data visualization.

Abstract: A computing device displays, in a graphical user interface, a canvas region that includes a first scene. The first scene includes a first visualization card having a first data visualization and a second visualization card, adjacent to the first visualization card, the second visualization card having a second data visualization. The device receives user input to specify merging the first data visualization with the second data visualization. Responsive to the user input, and in accordance with a determination that (i) the first data visualization and the second data visualization share a common time period and (ii) there is a substantial overlap between a first range of values in a vertical axis of the first data visualization and a second range of values in a vertical axis of the second data visualization, the device merges the first data visualization and the second data visualization into a single data visualization.

Abstract: A computing device displays, in a graphical user interface, a canvas region that includes a first scene. The first scene includes a first visualization card having a first data visualization and a first text card, adjacent to the first visualization card. The device receives, via the first text card, (i) text input from a user and (ii) user selection of a first user interface element for linking the first text card to the first visualization card. In accordance with the receiving, the device determines whether the text input includes a first expression having a first time span that intersects with a temporal domain of the first data visualization. In accordance with a determination that the text input includes the first expression, and in response to a first user interaction with a first region of the first text card that includes the first expression, the device visually emphasizes a first portion of the first data visualization, corresponding to the first time span.

Abstract: A computing device displays, in a graphical user interface, a canvas region that includes a first scene. The first scene includes a first visualization card. The device also displays, in the graphical user interface, a recommendation region that includes one or more data visualizations. Each data visualization corresponds to a respective metric of one or more metrics of a data source. The respective metric has a respective temporal attribute. The device receives user selection to add a first data visualization, corresponding to a first metric of the one or more metrics, to the first visualization card. In response to the user selection, the device updates display of the first visualization card to include the first data visualization.

Abstract: A method for 3D object tracking is described. The method includes inferring first 2D semantic keypoints of a 3D object within a sparsely annotated video stream. The method also includes matching the first 2D semantic keypoints of a current frame with second 2D semantic keypoints in a next frame of the sparsely annotated video stream using embedded descriptors within the current frame and the next frame. The method further includes warping the first 2D semantic keypoints to the second 2D semantic keypoints to form warped 2D semantic keypoints in the next frame. The method also includes labeling a 3D bounding box in the next frame according to the warped 2D semantic keypoints in the next frame.

Abstract: Methods and systems for a content server to select sets of video streams having different encoding parameters for transmitting the sets of video streams to a media device are disclosed herein. In some embodiments, a method for transmitting video streams for a media program from a server to a media device includes: selecting, by the server, first encoding parameters including a first bitrate for a first set of video streams for the media program based on a first estimated bandwidth capacity for a network linking the server and the media device, transmitting the first set of video streams from the server to the media device, determining, by the server, second encoding parameters including a second bitrate for a second set of video streams for the media program, and transmitting the second set of video streams from the server to the media device.

Abstract: Embodiments of the present disclosure are directed to ferrofluid-based assay methods, systems and device for detecting one or more parasite oocyst or egg, and more specifically, to detecting parasite oocysts or eggs in fecal matter of livestock, so as to determine parasitic infections within such livestock. Such embodiments are configured to help in the ability to maintain healthy livestock for human consumption.

Abstract: A data source is monitored. During the monitoring, an arrival at the data source of each of one or more sets of one or more features is detected. In response to detecting the arrival at the data source of at least a first set of one or more features of the one or more sets of one or more features, data is extracted from the first set of one or more features, data for at least a second set of one or more features of the one or more sets of one or more features is estimated, wherein the second set of one or more features has not yet arrived at the data source, and, based on the extracted data and the estimated data, a data quality metric is predicted.

Abstract: A device for regulating a through-flow and expanding a fluid in a fluid circuit, in particular a refrigerant in a refrigerant circuit of an air-conditioning system of a motor vehicle. The device has a housing and a valve element arranged in the interior of the housing as well as at least one sealing element.

Abstract: A method is provided of making a magnetocaloric alloy composition comprising Ni, Co, Mn, and Ti, which preferably includes certain beneficial substitutional elements, by melting the composition and rapidly solidifying the melted composition at a cooling rate of at least 100 K/second (Kelvin/second) to improve a magnetocaloric property of the composition. The rapidly solidified composition can be heat treated to homogenize the composition and annealed to tune the magneto-structural transition for use in a regenerator.

Abstract: A medical implant identification system is disclosed. The implant identification system may include a probe reader extending from a proximal end to a distal end and the distal end may include a faraday cage. The probe reader may be in communication with an operating room computer and/or a display. The implant identification system may include at least one digital set screw comprising an antenna disposed in an antenna portion of the digital set screw. In various embodiments, the faraday cage may have a size and shape corresponding to a size and shape of the antenna portion of the digital set screw. Additionally, the antenna may be configured to transmit identity information to the probe reader, and the identify information may be displayed by the display and/or stored in a data store of the operating room computer.

Abstract: For example, a wireless communication device may be configured to determine a Resource Unit (RU) allocation of a plurality of RUs to a plurality of wireless communication stations (STAs), respectively, the RU allocation to allocate to a STA of the plurality of STAs an RU of the plurality of RUs, wherein an RU size of the RU allocated to the STA is based at least on a traffic rate parameter, which is dependent on a traffic rate of Downlink (DL) traffic for the STA; and to transmit a Multi-User (MU) DL Orthogonal-Frequency-Division-Multiple-Access (OFDMA) Physical-layer Protocol Data Unit (PPDU) to the plurality of STAs according to the RU allocation.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may generate a pseudorandom noise (PN) sequence, modulate the PN sequence based at least in part on a modulation order parameter, and transmit the PN sequence in one or more symbols prior to transmitting sidelink data. The one or more symbols used to transmit the PN sequence may be used for automatic gain control (AGC) training at a receiving device. The user equipment may then transmit the sidelink data in a plurality of symbols that are subsequent in time relative to the one or more symbols used to transmit the PN sequence, and the receiving device may process the sidelink data based on the AGC training. Numerous other aspects are provided.

Abstract: A user interface device is adapted to provide tremor cancellation. The user interface device comprises a user interface for determining a position from a physical user input and a position output for providing a time-ordered output stream of position data, but also provides a tremor learning module and a tremor cancellation module. The tremor learning module can be trained to identify tremor patterns for a user by comparing time-ordered output streams of position data produced by the user with predetermined representations. The tremor cancellation module is adapted to apply the tremor patterns learned for the user to cancel tremors in a time-ordered stream of position data produced by the user to create an output stream of position data which is corrected for user tremor. A method of training and then using such a user interface device is also described.