Abstract: An apparatus and system for inter-UE coordination feedback for sidelink communications are described. In particular, inter-UE coordination feedback signaling for reliable sidelink communication including transmitter-based resource allocation and signaling of conflicts, prioritization of the inter-UE coordination feedback, and timing of the inter-UE coordination feedback are described. Sidelink hybrid acknowledgment request (HARQ) acknowledgment/negative acknowledgment (ACK/NACK) or NACK only signaling is prioritized over a half-duplex (HD) or co-channel collision (CC) feedback indication, and uplink transmissions are prioritized over sidelink transmissions. In response to detection of a conflict, the inter-UE coordination feedback is transmitted relative to the slot where the HD or CC event occurs or relative to the slot where reservation of the resources for the sidelink transmissions.

Abstract: Systems and methods of providing RAT co-existence and congestion control in V2V communications are generally described. A vUE detects specific non-LTE RAT transmissions in a listening period of a PSCCH or PSSCH, determines whether a metric has been met and reselects to a non-overloaded channel to communicate with other vUEs or the eNB. The manner of reselection is dependent on the RAT specific or V2X service priorities of the channels, as well as whether the channels are V2V service dependent.

Abstract: A computer-readable storage medium stores instructions to configure a UE for sidelink operation in a 5G NR network, and to cause the UE to perform operations including encoding a first SCI for transmission. The first SCI includes a first resource reservation for a subsequent sidelink transmission by the UE in a pre-selected slot. A second SCI received from a second UE is decoded. The second SCI includes a second resource reservation for a subsequent sidelink transmission by the second UE in the pre-selected slot. A reservation conflict is detected based on the first resource reservation and the second resource reservation using the pre-selected slot. A third SCI is encoded for transmission based on the detection of the reservation conflict. The third SCI includes a modified version of the first resource reservation for the subsequent sidelink transmission by the UE.

Abstract: A computer-readable storage medium stores instructions to configure a UE for radio resource management (RRM) measurements in a 5G NR. network, and to cause the UE to perform operations. The operations include decoding RRC signaling. The RRC signaling includes system information associated with an inter-RAT cell of a. target base station. The system information includes an indicator for support of enhanced RRM measurements by the inter-RAT cell. Configuration information from a. source base station is decoded. The configuration information includes a handover instruction for performing a handover from the source base station to the target base station. A determination is made whether to perform the enhanced RRM measurements and the handover based on the indicator.

Abstract: An apparatus and system for power saving in a user equipment (UE) are described. The UE uses signal-to-interference-plus-noise (SINR) of radio link monitoring (REM) signals to determine whether to enter or exit a relaxation state in which the frequency of measurement of the REM signals is reduced, as is feedback to the base station. The REM relaxation state is dependent on the average SINR of the REM signals over a predetermined time window. Alternatively, the REM relaxation state is dependent on SINR thresholds that include an SINR fluctuation range using a SINR threshold for REM in-sync or derived from a Cumulative Distribution Function (CDF) curve of SINR using a predetermined maximum SINR fluctuation.

Abstract: An apparatus and system for setting an uplink timing advance (TA) for a non-terrestrial network (NTN) user equipment (UE) are described. The NTN UE estimates and updates a UE-specific TA value each period. The update is based on Global Navigation Satellite System (GNSS) positions and satellite ephemeris information. The NTN UE adjusts the UE-specific TA gradually, between a predetermined minimum and maximum aggregate adjustment rate.

Abstract: A pressure wave is generated within a first well extending into a subterranean formation. A pressure response associated with the pressure wave is detected from a second well extending into the formation. Information is then determined, based on the pressure response in the second well, wherein the information is associated with at least one of the formation and a fracture connected to at least one of the first well and the second well.

Abstract: In particular embodiments, a computing system may capture access a set of depth measurements and an image of a scene generated using one or more sensors of an artificial reality device. The system may generate, based on the image, a plurality of segmentation masks respectively associated with a plurality of object types. The system may segment, using the plurality of segmentation masks, the set of depth measurements into subsets of depth measurements respectively associated with the plurality of object types. The system may determine, for each object type, a three-dimensional (3D) model that best fits the subset of depth measurements corresponding to the object type. The system may refine, using 3D models determined for the plurality of object types, the subsets of depth measurements respectively associated with the plurality of object types and use refined depth measurements for mixed reality rendering.

Abstract: Provided are computing systems, methods, and platforms for using machine-learned models to generate a depth map. The operations can include projecting, using a dot illuminator, near-infrared (NIR) dots on the scene. The NIR dots can have a uniform pattern. Additionally, the operations can include capturing, using a single NIR camera, the projected NIR dots on the scene. Moreover, the operations can include generating a dot image based on the captured NIR dots on the scene. Furthermore, the operations can include processing the dot image with a machine-learned model to generate a depth map of the scene. Subsequently, the operations can further include evaluating the generated depth map of the scene and a ground truth depth map, and performing an action based on the evaluation.

Abstract: The present invention provides methods of reducing, inhibiting, preventing and treating vascular diseases. More specifically, the present disclosure provides methods of treating vascular diseases with the modulator of p66Shc signaling SHetA2.

Abstract: Some embodiments select a machine learning model training duration based at least in part on a fractal dimension calculated for a training data dataset. Model training durations are based on one or more characteristics of the data, such as a fractal dimension, a data distribution, or a spike count. Default long training durations are sometimes replaced by shorter durations without any loss of model accuracy. For instance, the time-to-detect for a model-based intrusion detection system is shortened by days in some circumstances. Model training is performed per a profile which specifies particular resources or particular entities, or both. Realistic test data is generated on demand. Test data generation allows the trained model to be exercised for demonstrations, or for scheduled confirmations of effective monitoring by a model-based security tool, without thereby altering the model's training.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing a machine learning model that is trained to perform a machine learning task. In one aspect, a method comprises receiving a request to train a machine learning model on a set of training examples; determining a set of one or more meta-data values characterizing the set of training examples; using a mapping function to map the set of meta-data values characterizing the set of training examples to data identifying a particular machine learning model architecture; selecting, using the particular machine learning model architecture, a final machine learning model architecture for performing the machine learning task; and training a machine learning model having the final machine learning model architecture on the set of training examples.

Abstract: A plasma lamp for use in a laser-sustained plasma (LSP) light source is disclosed. The plasma lamp includes a gas containment structure for containing a gas, a gas seal positioned at a base of the gas containment structure, a gas inlet, and a gas outlet. The plasma lamp includes a gas swirler including a set of nozzles configured to generate a vortex gas flow and a swirler shaft including an inlet channel for delivering the gas from the gas inlet to the nozzles and an outlet channel for delivering the gas from the gas containment structure to the gas outlet. The plasma lamp includes a distributor including one or more plenums to distribute the gas from the gas inlet into the swirler. The plasma lamp may also include a deflector fluidically coupled to the swirler shaft and extending above the set of nozzles and configured to direct gas flow around the swirler.

Abstract: A system (200) for monitoring conveyor belts is disclosed. The system (200) includes a sensor loop stack (110), RFID, a transmitter (104), a detector (106), RFID-readers and circuitry (108). The sensor loop stack incorporated and/or installed (inserted) into a conveyor belt (102). The transmitter (110) is configured to generate an electromagnetic field. The detector (106) is configured to measure an induced electric field from the sensor loop stack (110). The circuitry (108) is configured to detect damage of the conveyor belt based on the measured induced electromagnetic field.

Abstract: The example systems, methods, and/or computer-readable media described herein help with design treatment plans for orthodontic treatments. Treatment templates expressed according to treatment domain-specific protocols may be processed to provide treatment planning software, including automated or real-time treatment planning software, that accommodates treatment preferences of a practitioner and/or patient data relevant to a treatment plan. These methods and systems may be also be useful for planning, designing and producing as series of dental appliances (e.g., aligners).

Abstract: A method of laser bonding glass ceramic to metal foil includes contacting a first surface of a first glass ceramic substrate with a first surface of a first metal foil to create a first contact location between at least a portion of the first surface of the first glass ceramic substrate and the first surface of the first metal foil; and conducting a first welding step by directing a laser beam on at least a portion of the first contact location to bond the first glass ceramic substrate to the first metal foil and form a first bond location and a package. The first glass ceramic substrate has a thickness greater than or equal to 20 ?m and less than or equal to 250 ?m. The laser beam comprises a pulsed laser comprising a wavelength greater than or equal to 250 nm and less than or equal to 2 ?m.

Abstract: A network interface device which may include: an elongated frame having a first end, a second end, and, between the first and second ends, a top wall, a bottom wall opposing the top wall, a first lateral wall, and a second lateral wall opposing the first lateral wall; wherein the top wall includes: a first longitudinal portion that is adjacent to the first end of the frame; and a second longitudinal portion that is adjacent to the second end of the frame and whose outer surface slopes towards its inner surface in a direction of the second end of the frame.

Abstract: A membrane cleaning apparatus for removing particles from a membrane, the apparatus including: a membrane support for supporting the membrane; and a pressure pulse generating mechanism including one or more laser energy sources configured to generate a pressure pulse in a gas. The one or more energy laser sources may be focused to generate a pressure pulse in a gaseous atmosphere. The pressure pulse serves to dislodge particles on the membrane.

Abstract: Method and system for determining one or more heart beat features using remote photoplethysmography (rPPG). The method, comprising capturing a series of images of a user in a car by a camera in the car, wherein each image comprises one or more colour signals; for each of the images: locating a face of the user in the image; determining a boundary in the image, wherein the face is located within the boundary; detecting one or more facial features within the boundary; and based on the detected facial features, determining one or more regions in the image representing skin patches in the face; analysing the colour signals in the regions representing the skin patches; and determining one or more heart beat features based on the analysis.