Abstract: Adjusting a navigation path of a worker land roaming edge device is provided. The worker land roaming edge device is identified moving along a navigation path to an asset to perform a task. It is determined that the worker land roaming edge device cannot reach the asset to perform the task due to an environment change along the navigation path. A set of task performance alternatives is generated in response to determining that the worker land roaming edge device cannot reach the asset to perform the task. A task performance alternative of the set of task performance alternatives is selected based on a set of criteria. The navigation path of the worker land roaming edge device is adjusted in accordance with the selected task performance alternative. The adjusted navigation path is sent to the worker land roaming edge device to dynamically adjust operation of the worker land roaming edge device.

Abstract: A device may receive small cell data associated with a small cell, wherein the small cell data includes small cell location data and a small cell barometric pressure reading. The device may identify a calibration user device connected to the small cell and may receive, from the calibration user device, a user device barometric pressure reading. The device may calibrate, based on the user device barometric pressure reading, the small cell barometric pressure reading to obtain a calibrated small cell barometric pressure reading. The device may identify a reference weather station and may receive, from the reference weather station, weather station data, wherein the weather station data includes a weather station barometric pressure reading, and a weather station altitude that indicates an altitude of the reference weather station. The device may determine a small cell altitude based on the calibrated small cell barometric pressure reading and the weather station data.

Abstract: A neuromodulation therapy is delivered via at least one electrode implanted subcutaneously and superficially to a fascia layer superficial to a nerve of a patient. In one example, an implantable medical device is deployed along a superficial surface of a deep fascia tissue layer superficial to a nerve of a patient. Electrical stimulation energy is delivered to the nerve through the deep fascia tissue layer via implantable medical device electrodes.

Abstract: A neuromodulation therapy is delivered via at least one electrode implanted subcutaneously and superficially to a fascia layer superficial to a nerve of a patient. In one example, an implantable medical device is deployed along a superficial surface of a deep fascia tissue layer superficial to a nerve of a patient. Electrical stimulation energy is delivered to the nerve through the deep fascia tissue layer via implantable medical device electrodes.

Abstract: Provided are compounds of Formula (I) or (II) and related compositions and methods for their use as inhibitors of alpha-kinase 1 (ALPK1).

Abstract: The present invention relates to Tri-Specific Binding Molecules, which are multi-chain polypeptide molecules that possess three Binding Domains and are thus capable of mediating coordinated binding to three epitopes. The Tri-Specific Binding Molecule is preferably characterized in possessing binding domains that permit it to immunospecifically bind to: (1) an epitope of a first Cancer Antigen, (2) an epitope of a second Cancer Antigen, and (3) an epitope of a molecule that is expressed on the surface of an immune system effector cell, and are thus capable of localizing an immune system effector cell to a cell that expresses a Cancer Antigen, so as to thereby facilitate the killing of such cancer cell.

Abstract: The disclosure provides systems and methods for data analysis of experimental data. The analysis can include reference data that are not directly generated from the present experiment, which reference data may be values of the experimental parameters that were either provided by a user, computed by the system with input from a user, or computed by the system without using any input from a user. Another example of such reference data may be information about the instrument, such as the calibration method of the instrument.

Abstract: Examples may include techniques for using a sample clock to measure a duty cycle by periodic sampling a target clock signal based on a prime number ratio of a reference clock frequency. The reference clock frequency used to set a measurement cycle time over which the duty cycle is to be measured. A magnitude of a duty cycle error as compared to a programmable target duty cycle is determined based on the measured duty cycle and the duty cycle is adjusted based, at least in part, on the magnitude of the duty cycle error.

Abstract: Provided are compounds of Formula I, compositions and methods for their use as inhibitors of alpha-kinase 1 (ALPK1).

Abstract: The present disclosure is directed to inhibitors of SHP2 and their use in the treatment of disease. Also disclosed are pharmaceutical compositions comprising the same.

Abstract: Antibodies that selectively bind to glycosylated PD-1 relative to unglycosylated PD-1 are provided. In some aspects, PD-1 polypeptides comprising glycosylated amino acid positions are also provided. Methods for making and using such antibodies and polypeptides (e.g., for the treatment of cancer) are also provided.

Abstract: The present disclosure is directed to inhibitors of SHP2 and their use in the treatment of disease. Also disclosed are pharmaceutical compositions comprising the same.

Abstract: Examples may include techniques for using a sample clock to measure a duty cycle by periodic sampling a target clock signal based on a prime number ratio of a reference clock frequency. The reference clock frequency used to set a measurement cycle time over which the duty cycle is to be measured. A magnitude of a duty cycle error as compared to a programmable target duty cycle is determined based on the measured duty cycle and the duty cycle is adjusted based, at least in part, on the magnitude of the duty cycle error.

Abstract: A digital signal processor includes analog to digital converters to convert an analog voltage to digital voltage in unit intervals of an analog signal. A decision feedback equalizer (DFE) determines a first level of a digital sum of a digital voltage in a first UI and digital voltages of adjacent UIs (taps). The DFE identifies predetermined sequences of levels of consecutive UIs that include the first level and selects one of the predetermined sequences to decode digital data encoded in the analog signal in the UI. The DSP may be programmable to include taps from UIs that may affect the first UI. The predetermined sequences may include levels of the digital sums of consecutive UIs of the analog signal. The predetermined sequences may be identified in a look-up table based on the first level.

Abstract: Local passive matrix displays and methods of operation are described. In an embodiment, the display includes a pixel driver chip coupled with a matrix of rows and columns of LEDs. The pixel driver chips may be arranged in rows across the display with separate portions to operate separate matrices of LEDs.

Abstract: A method, computer program product, and system include a processor(s) that engages, based on a request for an inference, from a group of sensors of multiple modalities at a physical location, sensor(s) of a main modality to provide data to a pipeline to generate the inference. The pipeline includes one or more machine learning models which generate the inference for a downstream task. The processor(s) obtains raw data from the sensor(s) of the main modality and applies an outlier detector to the raw data. Based on determining that there is an outlier the processor(s) automatically engages sensor(s) of at least one different modality than the main modality from the group of sensors of multiple modalities and obtains new raw data from the sensor(s) of the at least one different modality. The processor(s) applies the one or more machine learning models to the new raw data to derive the inference.

Abstract: A system and method for controlling usage of shared demo assets includes embedding a digital watermark into a demo asset created by a first entity, the digital watermark including usage conditions defined by the first entity, tracking a use of the demo asset by a second entity by utilizing the digital watermark embedded into the demo asset, and controlling, by the processor, the use of the demo asset by the second entity based on a compliance with the usage conditions defined by the first entity.

Abstract: Text is received from a first user. The text is associated with an electronic communication tool for communication to a second user. Candidate answers are generated based on the text using a question answering system. At least one of the candidate answers is provided to the first user.

Abstract: Local passive matrix displays and methods of operation are described. In an embodiment, the display includes a pixel driver chip coupled with a matrix of rows and columns of LEDs. The pixel driver chips may be arranged in rows across the display with separate portions to operate separate matrices of LEDs.

Abstract: Dynamically adjusting, using artificial intelligence (AI), sensors and models of an autonomous roaming robotic device, which includes receiving data regarding an asset at a computer of a roaming robotic device from sensors on the robotic device. The robotic device identifies an asset at a location using the sensors, and the robotic device has instructions, received from a control system, to inspect the location or items at the location. The data is analyzed using the computer of the robotic device, and the analysis includes using historical data for the asset. An AI model is loaded using the computer of the robotic device, based on the identification of the asset. A sensor is selected using the computer of the robotic device, for conducting an inspection of the asset based on the analysis of the data and the AI model.