Abstract: A method can include, for a control action for a hydraulic fracturing operation of a well, using a trained machine learning model that predicts treatment pressure of the hydraulic fracturing operation, determining if the control action increases efficiency; if the control action increases efficiency, assessing viability of the control action with respect to one or more predefined criteria; and, if the control action is viable, issuing the control action for implementation during the hydraulic fracturing operation.

Abstract: The invention relates to additives for enhancing the electrical conductivity and physical and mechanical properties of rubber compounds, including, inter alia, the elastic modulus, tensile strength, tear resistance and abrasion resistance of composite elastomer-based materials (rubbers), and to composite elastomer-based materials (rubbers). The invention proposes an additive containing from 1 to 20 wt % carbon nanotubes, from 3 to 90 wt % high-viscosity organic rubber, and from 8 to 95 wt % low-molecular-weight organic dispersion medium. The present invention also proposes a method for producing the additive.

Abstract: Determine a current position of a camera relative to a road based on a set of imagery from the camera and a recommended position of the camera relative to the road based on the set of imagery from the camera, while the camera is maintained at a constant height relative to the road and a constant lateral distance relative to the road. The camera can be positionally adjusted from the current position to the recommended position based on a movement of the camera about a Y-axis or a Z-axis of the camera at that time relative to the road. In order to enable movement of the camera, a guide can be output to a user such that the user can follow the guide and move the camera from the current position to the recommended position.

Abstract: Improved techniques for dialogue management are disclosed. In particular, disclosed systems facilitate improved autonomous agents that can generate a virtual social dialogue from a corpus of text. A virtual social dialogue is a dialogue between autonomous agents and user devices. For example, a virtual social dialogue can include viewpoints, concerns, or questions of various actors on a particular topic. By presenting textual content in this manner, disclosed techniques improve information comprehension and increase the practicality of autonomous agents.

Abstract: Magnetic angular sensor device destined to sense an external magnetic field, the sensor device including a plurality of magnetic sensor elements, each sensor element including a magnetic tunnel junction containing a ferromagnetic reference layer having a reference magnetization that is pinned in a pinning direction, a ferromagnetic sense layer having a sense magnetization that can be oriented in an external magnetic field, and a tunnel barrier spacer layer, between the reference layer and the sense layer; wherein the sense layer of at least a portion of said plurality of sensor elements comprises an in-plane uniaxial sense magnetic anisotropy having an easy axis that is aligned substantially parallel to the pinning direction, such that an angular deviation in the alignment of the direction of the sense magnetization in the external magnetic field is minimized for a range of external magnetic field.

Abstract: Provided herein is a method and apparatus for venting of intravenous tubing to remove air bubbles, and more particularly, to a venting valve that allows air bubbles to escape along a venting path while not permitting fluid passage through the venting path. An example air extraction device may include: a chamber; a fluid inlet to convey fluid from intravenous tubing into the chamber; a fluid outlet to convey fluid from the chamber to intravenous tubing for supplying to a patient; a top portion of the chamber; a branch tube extending from the top portion of the chamber, where the branch tube receives air from the fluid in the chamber; and a ball received within the chamber, where the ball is configured to rise with an influx of fluid to the chamber from the fluid inlet and to seal off the branch tube from the chamber in response to the fluid level rising to the top portion of the chamber.

Abstract: Various embodiments herein provide techniques for channel state information (CSI)-reference signal (RS) configurations and measurement latency requirements for evaluating CSI-RS based L3-RSRP measurement accuracy for 5G New Radio (NR) radio resource management (RRM). Other embodiments may be described and claimed.

Abstract: Systems, methods, and computer program products are provided for improving establishment and broadcasting of communication among mobile computing devices. For example, a method comprises determining a first user accesses a mobile application on a first mobile device of the first user; determining a second user accesses the mobile application on a second mobile device of the second user; and initiating the audio communication between the first user and the second user, wherein the audio communication may or may not be streamed to a third user who accesses the mobile application on a third mobile device of the third user.

Abstract: Method and device for processing LIDAR sensor data are disclosed. The method includes (i) receiving from the LIDAR sensor a first dataset having a plurality of first data points representative of respective coordinates and associated with respective normal vectors, (ii) determining an uncertainty parameter for a given first data point based on a normal covariance of the normal vector of the given first data point where the normal covariance takes into account a measurement error of the LIDAR sensor when determining the respective coordinates of the given first data point, (iii) in response to the uncertainty parameter being above a pre-determined threshold, excluding the given first data point from the plurality of first data points, (iv) using the filtered plurality of first data points, instead of the plurality of first data points, for merging the first dataset of the LIDAR sensor with a second dataset of the LIDAR sensor.

Abstract: Method and device for processing LIDAR sensor data are disclosed. The method includes: receiving a first dataset and a second dataset having pluralities of data points; matching at least some of the plurality of first points with at least some of the plurality of second points, thereby determining a plurality of pairs; for the given one of the plurality of pairs, determining a pair-specific filtering parameter by calculating neighbour beam distances between the given first data point and respective ones the set of neighboring points, a given neighbour beam distance being representative of a linear distance between the given first data point and a respective one of the set of neighbouring points; in response to the pair-specific parameter being positive, excluding the given one of the plurality of pairs from further processing; and processing the reduced plurality of pairs for merging the first dataset and the second dataset.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for modifying one or more parameters of a data streaming bitrate selection algorithm based on machine learning. An example embodiment operates by training and operating a first machine learning model to predict a sustainable network bandwidth. A second machine learning model is trained to receive the sustainable network bandwidth and predict a likelihood that this network bandwidth will not empty a data buffer of streaming data. A bitrate is selected based on the likelihood being below a threshold percentage, such as 50%.

Abstract: Configuration data associated with data traffic of at least one user equipment at a geographical area may be obtained at a home public land mobile network. The configuration data may comprise a mapping of the data traffic to an identifier of at least one co-located public land mobile network configured to provide access to an edge application server at the geographical area. The home public land mobile network may cause routing of the data traffic to the co-located public land mobile network based on the configuration data.

Abstract: The present disclosure relates to methods of treating certain diseases and disorders (e.g., IRAK4-associated diseases and disorders).

Abstract: Geopolymer precursor compositions are presented that are useful for cementing a subterranean well, among other uses. The precursor compositions are dry mixtures that have an aluminosilicate source and an activator. The activator is an alkalinity source that is safe to store, transport, and blend with an aluminosilicate source. The activator may be a hydroxide-free activator. A geopolymer slurry is formed by adding water to the dry geopolymer precursor compositions. Such slurries have suitable characteristics for use in cementing applications that use pumpable mixtures.

Abstract: A vehicle may wirelessly communicate with another vehicle via a physical channel (a vehicle-to-vehicle (V2V) channel) that is robust and reliable under high mobility propagation conditions. The physical channel may be created by modifying an existing long-term evolution (LTE) physical channel, such as an LTE sidelink (SL) channel. For instance, the V2V physical channel may be created by increasing, by a particular factor, the subcarrier spacing of legacy LTE channels (e.g., from 15 kilohertz (kHz) to 30 kHz). Additionally, a symbol duration and a fast Fourier transform (FFT) size for the V2V physical channel may each be reduced by the same factor. Doing so may enable the V2V physical channel to be implemented without significant modifications to other aspects of the LTE standard.

Abstract: A computing system and method for training one or more machine-learning models to perform anomaly detection. A training dataset is accessed. An overall sensitivity score is determined that indicates an amount of sensitive data in the training dataset. Machine-learning models are trained based on the training dataset and the overall sensitivity score. The machine-learning models use the overall sensitivity score to determine a threshold. The threshold is relatively low for datasets having a large amount of sensitive data and is relatively high for dataset having a small among of sensitive data. When executed, the machine-learning models determine if a probability score of features extracted from a received dataset are above the determined threshold when a second overall sensitivity score of the received dataset is substantially similar to the overall sensitivity score. When the probability score is above the determined threshold, the machine-learning models cause an alert to be generated.

Abstract: A computing device includes an appliance status table to store at least one of reliability and performance data for one or more network functions virtualization (NFV) appliances and one or more legacy network appliances. The computing device includes a load controller to configure an Internet Protocol (IP) filter rule to select a packet for which processing of the packet is to be migrated from a selected one of the one or more legacy network appliances to a selected one of the one or more NFV appliances, and to update the appliance status table with received at least one of reliability and performance data for the one or more legacy network appliances and the one or more NFV appliances. The computing device includes a packet distributor to receive the packet, to select one of the one or more NFV appliances based at least in part on the appliance status table, and to send the packet to the selected NFV appliance. Other embodiments are described herein.

Abstract: An anomalous action security assessor is disclosed. An anomaly is received from a set of anomalies. A series of linked queries associated with the anomaly is presented to the user. The series of linked queries includes a base query and a subquery. The base query tests an attribute of the anomaly and resolves to a plurality of outcomes of the base query. The subquery is associated with an outcome of the plurality of outcomes of the base query. The series of linked queries finally resolve to one of tag the anomaly and dismiss the anomaly. A security alert is issued if the series of linked queries finally resolves to tag the anomaly.

Abstract: Systems and methods for progressively providing checkout options during a checkout transaction are provided. During a transaction process, a user interface with an options category having a set of checkout options is provided. Requests associated with the checkout options are transmitted, with at least one of the transmitted queries being transmitted to a remote third-party. One or more of the checkout options are identified as a first set of options and others are identified as a second set of options. The user interface is updated to display the first set of options and a selectable UI element prior to display of the second set of options, where all of the second set of options are hidden from display prior to selection of the selectable UI element. The checkout transaction is completable using one of the options from the first set of options without display of the second set of options.

Abstract: A method and architecture for using dynamically loaded plugins is described herein. The dynamically loaded plugin architecture comprises a parent context and a plugin repository. The parent context may define one or more reusable software components. The plugin repository may store one or more plugins. When a plugin is loaded, a child context may be created dynamically. The child context is associated with the plugin and inherits the one or more reusable software components from the parent context.