Abstract: An assay provides comprehensive genomic profiling for plasma-derived circulating tumor DNA from solid tumors. The assay covers genes for mutations including single nucleotide variants (SNVs), insertions and deletions (indels), copy number variants (CNVs), and fusions, as well as microsatellite instability (MSI) status. The assay may use a custom hybrid capture process with optimized chemistry and panel design, as well as novel algorithms for SNV, indel, and CNV data filtering to optimize performance.

Abstract: Improved imaging devices and methods. A portable SPECT imaging device may co-register with imaging modalities such as ultrasound. Gamma camera panels including gamma camera sensors may be connected to a mechanical arm. A coded aperture mask may be placed in front of a gamma-ray photon sensor and used to construct a high-resolution three-dimensional map of radioisotope distributions inside a patient, which can be generated by scanning the patient from a reduced range of directions around the patient and with radiation sensors placed in close proximity to this patient. Increased imaging sensitivity and resolution is provided. The SPECT imaging device can be used to guide medical interventions, such as biopsies and ablation therapies, and can also be used to guide surgeries.

Abstract: Systems, methods, and software can be used to perform a two-factor authentication. In some aspects, a method includes: receiving, by an electronic device from a device authentication server, a two-factor authentication (2FA) token; transmitting, by the electronic device to an identity provider (IDP), an authentication request for a 2FA operation, wherein the authentication request comprises the 2FA token; receiving, by the electronic device from the IDP, an authentication response; and determining, by the electronic device, whether the 2FA operation succeeds based on the authentication response.

Abstract: A method, system and computer-readable storage medium for controlling access to application data associated with an application configured on a computing device.

Abstract: An actuator assembly including a first actuator having a first magnetically actuated plunger and a first latching plate, where the first plunger is operable to be magnetically latched to the first latching plate. The actuator assembly further includes a second actuator coupled to and axially aligned with the first actuator. The second actuator includes a second magnetically actuated plunger, a second latching plate, a sleeve positioned within and extending from the second plunger and being rigidly secured to the first plunger, and a tolerance spring wrapped around the sleeve. The second plunger is operable to be magnetically latched to the second latching plate, where latching of the second plunger causes the tolerance spring to compress and provide additional latching force of the first plunger to the first latching plate.

Abstract: Systems, methods, and software can be used to perform a two-factor authentication. In some aspects, a method includes: receiving, by an electronic device from a device authentication server, a two-factor authentication (2FA) token; transmitting, by the electronic device to an identity provider (IDP), an authentication request for a 2FA operation, wherein the authentication request comprises the 2FA token; receiving, by the electronic device from the IDP, an authentication response; and determining, by the electronic device, whether the 2FA operation succeeds based on the authentication response.

Abstract: A method includes receiving image data representing an environment of a robotic device from a camera on the robotic device. The method further includes applying a trained dense network to the image data to generate a set of feature values, where the trained dense network has been trained to accomplish a first robot vision task. The method additionally includes applying a trained task-specific head to the set of feature values to generate a task-specific output to accomplish a second robot vision task, where the trained task-specific head has been trained to accomplish the second robot vision task based on previously generated feature values from the trained dense network, where the second robot vision task is different from the first robot vision task. The method also includes controlling the robotic device to operate in the environment based on the task-specific output generated to accomplish the second robot vision task.

Abstract: A method includes receiving, from a camera disposed on a robotic device, a two-dimensional (2D) image of a body of an actor and determining, for each respective keypoint of a first subset of a plurality of keypoints, 2D coordinates of the respective keypoint within the 2D image. The plurality of keypoints represent body locations. Each respective keypoint of the first subset is visible in the 2D image. The method also includes determining a second subset of the plurality of keypoints. Each respective keypoint of the second subset is not visible in the 2D image. The method further includes determining, by way of a machine learning model, an extent of engagement of the actor with the robotic device based on (i) the 2D coordinates of keypoints of the first subset and (ii) for each respective keypoint of the second subset, an indicator that the respective keypoint is not visible.

Abstract: Improved imaging devices and methods. A portable SPECT imaging device may co-register with imaging modalities such as ultrasound. Gamma camera panels including gamma camera sensors may be connected to a mechanical arm. A coded aperture mask may be placed in front of a gamma-ray photon sensor and used to construct a high-resolution three-dimensional map of radioisotope distributions inside a patient, which can be generated by scanning the patient from a reduced range of directions around the patient and with radiation sensors placed in close proximity to this patient. Increased imaging sensitivity and resolution is provided. The SPECT imaging device can be used to guide medical interventions, such as biopsies and ablation therapies, and can also be used to guide surgeries.

Abstract: A method includes receiving image data representing an environment of a robotic device from a camera on the robotic device. The method further includes applying a trained dense network to the image data to generate a set of feature values, where the trained dense network has been trained to accomplish a first robot vision task. The method additionally includes applying a trained task-specific head to the set of feature values to generate a task-specific output to accomplish a second robot vision task, where the trained task-specific head has been trained to accomplish the second robot vision task based on previously generated feature values from the trained dense network, where the second robot vision task is different from the first robot vision task. The method also includes controlling the robotic device to operate in the environment based on the task-specific output generated to accomplish the second robot vision task.

Abstract: A method includes receiving, from a camera disposed on a robotic device, a two-dimensional (2D) image of a body of an actor and determining, for each respective keypoint of a first subset of a plurality of keypoints, 2D coordinates of the respective keypoint within the 2D image. The plurality of keypoints represent body locations. Each respective keypoint of the first subset is visible in the 2D image. The method also includes determining a second subset of the plurality of keypoints. Each respective keypoint of the second subset is not visible in the 2D image. The method further includes determining, by way of a machine learning model, an extent of engagement of the actor with the robotic device based on (i) the 2D coordinates of keypoints of the first subset and (ii) for each respective keypoint of the second subset, an indicator that the respective keypoint is not visible.

Abstract: A system and method for controlling an operation of devices in a power distribution network. The method determines that there is a power loss in the network as a result of a fault and one or more teams is not receiving power and performs a switching process in switching devices to prevent fault current from flowing to the fault. The method initiates a power restoration process to control the open and closed status of switching devices to isolate the fault and performs the power restoration process by the leader device in a division that the fault is occurring that includes opening and closing switching devices so that power is provided to all of the teams except the team that the fault is in. The method reconfigures the divisions based on which switching devices are now open and selects new leader devices based on the reconfiguration of the divisions.

Abstract: Improved imaging devices and methods. A portable SPECT imaging device may co-register with imaging modalities such as ultrasound. Gamma camera panels including gamma camera sensors may be connected to a mechanical arm. A coded aperture mask may be placed in front of a gamma-ray photon sensor and used to construct a high-resolution three-dimensional map of radioisotope distributions inside a patient, which can be generated by scanning the patient from a reduced range of directions around the patient and with radiation sensors placed in close proximity to this patient. Increased imaging sensitivity and resolution is provided. The SPECT imaging device can be used to guide medical interventions, such as biopsies and ablation therapies, and can also be used to guide surgeries.

Abstract: A switching device for controlling power flow on a power line. The device includes a current sensor for measuring primary current on the line, a first voltage sensor for measuring primary voltage on the line at one side of the switching device, and a second voltage sensor for measuring primary voltage on the line at another side of the switching device. An ADC converts measurement signals from the current sensor and the voltage sensors to digital signals, and a PMU calculates magnitude and phase angle synchrophasor data using the current and voltage measurement digital signals and calibration data.

Abstract: This disclosure describes systems, methods, and computer-readable media related to providing a point of sale platform. In some embodiment, a point of sale (POS) device may receive information associated with an order and payment information associated with the order. The POS device may generate a first object based at least in part on the information associated with the order and a second object based at least in part on the payment information. The POS device may store the first object and the second object in a queue. The POS device may transmit the first object and the second object to a remote server.

Abstract: A system and method for generating phasors having a phase angle and magnitude from a sinusoidal power signal, and using the phasors to generate a frequency and RoCoF of the power signal. The system and method provide improvements over known systems and methods by correcting the frequency of sensor signals, providing a simplified phasor correction equation, reducing errors in a non-recursive DFT algorithm, improving frequency estimation by spacing out DFTs, correcting the sampling rate, providing linear interpolation of frequency and/or providing a variable DFT window length.

Abstract: A method includes receiving a first depth map that includes a plurality of first pixel depths and a second depth map that includes a plurality of second pixel depths. The first depth map corresponds to a reference depth scale and the second depth map corresponds to a relative depth scale. The method includes aligning the second pixel depths with the first pixel depths. The method includes transforming the aligned region of the second pixel depths such that transformed second edge pixel depths of the aligned region are coextensive with first edge pixel depths surrounding the corresponding region of the first pixel depths. The method includes generating a third depth map. The third depth map includes a first region corresponding to the first pixel depths and a second region corresponding to the transformed and aligned region of the second pixel depths.

Abstract: A method includes receiving sensor data representing a first object in an environment and generating, based on the sensor data, a first state vector that represents physical properties of the first object. The method also includes generating, by a first machine learning model and based on the first state vector and a second state vector that represents physical properties of a second object previously observed in the environment, a metric indicating a likelihood that the first object is the same as the second object. The method further includes determining, based on the metric, to update the second state vector and updating, by a second machine learning model configured to maintain the second state vector over time and based on the first state vector, the second state vector to incorporate into the second state vector information concerning physical properties of the second object as represented in the first state vector.

Abstract: Systems, methods, and software can be used to handle security events of a device based on remediation actions and recovery actions. In some aspects, a method comprises: receiving, by a security gateway, a security event notification associated with a device; determining, by the security gateway and based on the security event notification, a risk level of the device; determining, by the security gateway and based on the risk level, a set of remediation actions and recovery actions; and sending, by the security gateway, an action plan indicating the set of remediation actions and recovery actions.

Abstract: A method includes receiving sensor data from a plurality of robot sensors on a robot. The method includes generating a depth map that includes a plurality of pixel depths. The method includes determining, for each respective pixel depth, based on the at least one robot sensor associated with the respective pixel depth, a pixelwise confidence level indicative of a likelihood that the respective pixel depth accurately represents a distance between the robot and a feature of the environment. The method includes generating a pixelwise filterable depth map for a control system of the robot. The pixelwise filterable depth map is filterable to produce a robot operation specific depth map. The robot operation specific depth map is determined based on a comparison of each respective pixelwise confidence level with a confidence threshold corresponding to at least one operation of the robot controlled by the control system of the robot.