Abstract: An ice cream making assembly includes a mixing bowl having an outer housing and an inner liner defining a wall cavity therebetween. The mixing bowl further includes a radiator fin unit received within a portion of the wall cavity and a phase-change medium filling a further portion of the wall cavity surrounding at least a portion of the radiator fin unit. The radiator fin unit defines an outer chamfer extending generally along an outer cross-sectional profile of the wall cavity and a tapered inner profile extending along inner cross-sectional profile of the wall cavity and in at least partial contact with the inner liner. The assembly further includes a dasher including first and second mixing arms extending outwardly from an anchor end of the axle and upwardly and outwardly to generally follow an angled inner profile of the food-product receiving cavity defined by the liner.

Abstract: Compact and portable, real-time or near real-time, in-line, on-line, at-line, or off-line reagentless detection, identification, and/or quantification spectroscopic methods and sensor systems provide detection and quantification of chemical and biological (CB) materials or analytes (whether harmful or beneficial) at trace quantities and concentrations (e.g., at less than 10 ppb, 10 ppt, or 10 ppq). Some embodiments detect trace volumes of materials of interest that were originally in water or another liquid wherein detection is enhanced by one or more of (1) liquid reduction or elimination, (2) overlaid multi-droplet deposition, (3) analyte spatial separation, and/or (4) creation and storage of analyte sample archives in a readily accessible manner for future re-examination.

Abstract: The present invention relates to a tablet composition comprising Ibrutinib and one ore more pharmaceutically acceptable excipients. The invention further relates to the use of said composition as a medicament, particularly in the treatment of lymphocytic leukaemia (CLL), mantle cell lymphoma (MCL), Waldenström's macroglobulinaemia (WM) and chronic graft versus host disease (cGVHD).

Abstract: A MEMS package includes an interconnect structure disposed on a wafer. A first device substrate including a first MEMS device and a second device substrate including a second MEMS device are laterally separated from each other, disposed on the wafer and bonded to the interconnect structure. A first cap substrate with a first cavity is bonded to the first device substrate. A second cap substrate with a second cavity is bonded to the second device substrate. A getter is disposed on the interconnect structure and directly under the second MEMS device. The first cavity has a first pressure, and the second cavity has a second pressure lower than the first pressure.

Abstract: System and methods include obtaining Wi-Fi network data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers and obtaining customer data for each customer associated with the plurality of Wi-Fi networks, the customer data including call-ins made by customers; aggregating and filtering the data; analyzing the aggregated and filtered data including correlating the call-ins made by customers to the Wi-Fi network data; predicting customer call-ins based on correlations made between the call-ins made by customers and the Wi-Fi network data; and initiating a customer outreach workflow prior to a predicted customer call-in.

Abstract: A system and method are provided for modifying search metrics based on features of interest determined from interactions with images. The method includes determining an input comprising at least one feature of interest, the at least one feature of interest determined from at least one interaction with a first image; and using the input in an image search by modifying a search metric to bias the image search towards locating one or more second images based on the at least one feature of interest.

Abstract: For a surgical robotic system, a machine-learned model is used to determine port placement. For example, a machine-learned model indicates internal regions based on input of external measurements on a patient. An overlap of an inverse-kinematics-based operation region of the surgical robotic system and the internal regions of the patient is optimized based on port placement. In an alternative or additional approach, information about the surgeon (e.g., handedness) is used with the machine-learned model to determine port placement.

Abstract: System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data for Wi-Fi metric based alarms, each Wi-Fi metric based alarm being associated with detection of one of an offline Wi-Fi network of the plurality of Wi-Fi networks, an offline node of the Wi-Fi network, instability of the Wi-Fi network, congestion in the Wi-Fi network, and interference in the Wi-Fi network; determining the Wi-Fi metric based alarms based on the analyzing; and performing one or more actions based on the determined Wi-Fi metric based alarms.

Abstract: Systems and processes are disclosed for controlling television user interactions using a virtual assistant. In an example process, a virtual assistant can interact with a television set-top box to control content shown on a television display. Speech input for the virtual assistant can be received from a device with a microphone. The speech input can comprise a query associated with content shown on the television display. A user intent of the query can be determined based on one or more of the content shown on the television display and a viewing history of media content. A result of the query can be caused to be displayed based on the determined user intent.

Abstract: A glass manufacturing apparatus includes a delivery apparatus defining an upstream portion of a ribbon travel path extending in a first travel direction. A forming roll extends along an axis parallel to the travel path and perpendicular to the first travel direction. The forming roll includes a recess that imparts a protrusion to a ribbon. A substantially planar surface is positioned downstream from the forming roll and receives the ribbon. A conveyor supports the substantially planar surface. The conveyor moves the substantially planar surface in a second travel direction that is angled relative to the first travel direction. A force application apparatus biases the ribbon toward the substantially planar surface to alter a position of the protrusion relative to a major surface of the ribbon. Methods of manufacturing a ribbon are provided.

Abstract: A vehicle system and method of controlling a vehicle engine are provided. The method includes determining a speed of an engine in the vehicle system including a hydraulic system and a vehicle propulsion system operatively coupled to the engine. The method includes determining that the engine speed is decreasing and an actual engine speed is less than a target engine speed, and determining a current gear setting and one or more operating parameters of the hydraulic system in response to determining that the engine speed is decreasing and the actual engine speed is less than the target engine speed. The method, in response to the current gear setting being engaged and the one or more operating parameters being greater than a predetermined threshold value, includes controlling the engine speed to be higher than the target engine speed.

Abstract: A computer-implemented method can receive a message sent from a source entity, perform first pre-processing operations for verifying validity of the message, perform second pre-processing operations for determining a category of the message, extract metadata from the message, generate an enriched message comprising the metadata and the determined category, perform post-processing operations for classifying the enriched message into one of a plurality of event types, broadcast the enriched message to a message broker, and routing, by the message broker, the enriched message to one or more target entities registered an event type into which the message is classified.

Abstract: A tracking system includes a host station and a sensor station. The sensor station includes transmitters transmitting an IR synchronous signal and IR laser signal. The system includes a head-mounted display and a tracked object, which has a plurality of object sensors. The tracked object determines its location and orientation relative to the sensor station based on the IR signals. The tracked object transmits the location and orientation to the host station. The host station determines an actual flight path of the tracked object during an object tracking event; generates a predicted flight path of the tracked object; and renders an image of a virtual object on a display of the head-mounted display. The image includes a virtual object corresponding to the tracked object, wherein the image is rendered in a VR environment such that the virtual object moves along the actual flight path and the predicted flight path.

Abstract: Disclosed are various examples identifying time-sensitive tasks being performed by a user of a client device that may be affected by a network connectivity issue associated with the client device and alerting the user interacting with the client device of the identified time-sensitive tasks. Network connectivity data associated one or more client devices can be used to identify patterns and context in network connectivity loss based at least in part on location, time, date, etc. Additionally, user context data associated with a user can be analyzed to predict whether the user will experience any connectivity issues and identify any tasks or action items being performed by the user interacting with the client device that may be considered time-sensitive. A user can be notified of a potential connectivity issue that may affect the ability for the user to complete a time-sensitive task.

Abstract: In an example, a system includes a receiver configured to receive a differential input signal from a quadrature amplitude modulation (QAM) transmitter at a differential interface that includes a first input and a second input. The system also includes a first switch coupled to the first input and a second switch coupled to the second input, where the first switch and second switch are configured to couple the first input and the second input to a complex mixer in a non-inverting configuration. The system includes a third switch coupled to the first input and a fourth switch coupled to the second input, where the third switch and the fourth switch are configured to couple the first input and the second input to the complex mixer in an inverting configuration. The complex mixer is configured to produce an output signal based on the non-inverting configuration and the inverting configuration.

Abstract: An assembly, in one embodiment, comprising an exercise mat having a top layer and a bottom layer, and a towel is described. The top layer of the exercise mat is configured to have a first exposed surface. The towel comprises a first surface and second surface, the first surface configured to be coupled to the first exposed surface of the top layer of the exercise mat, the surface area of the towel being less than or equal to a surface area of the top surface of the exercise mat.

Abstract: Systems and processes for application integration with a digital assistant are provided. In accordance with one example, a method includes, at an electronic device having one or more processors and memory, receiving a natural-language user input; identifying, with the one or more processors, an intent object of a set of intent objects and a parameter associated with the intent, where the intent object and the parameter are derived from the natural-language user input. The method further includes identifying a software application associated with the intent object of the set of intent objects; and providing the intent object and the parameter to the software application.

Abstract: Embodiments relate to providing self-learning automated information technology change risk prediction. A processor inputs a change request to a first machine learning model, the first machine learning model determining at least one word pair in the change request, the change request being a modification in an IT environment. The processor classifies the at least one word pair into a change category for the IT environment using a second machine learning model, the change category identifying a type of the modification to be executed in the IT environment. The processor determines a likelihood of causing a problem in the IT environment as a result of executing the modification. The processor automatically performs an action to prevent the modification of the change request in the IT environment.

Abstract: A system and method include a server computer that determines a plurality of routes and corresponding route schedules for a plurality of ride service requests. The server computer assigns a plurality of vehicles to service each one of the plurality of routes and further assigns one of the plurality of vehicles to one of a plurality of drivers to perform the route according to the route schedule. The server computer may detect an exception to the route schedule, identify a resolution to the exception, and automatically implement the resolution to the exception.

Abstract: Analyzing the complexity of an object of a scene in a media steam (or media data) performed by at least one processor, is provided, including receiving immersive media data comprising a plurality of scenes from a content source; obtaining a respective object of a respective scene in the plurality of scenes, from the immersive media data; analyzing the respective scene to generate complexity information associated with the respective object of the respective scene; generating metadata associated with the respective object of the respective scene, the metadata comprising the complexity information; and determining whether to distribute the respective scene to a client for processing based on the generated metadata.