Abstract: The present disclosure provides methods of treating a subject having metabolic disorders and/or cardiovascular diseases, methods of identifying subjects having an increased risk of developing a metabolic disorder and/or a cardiovascular disease, and methods of detecting human Inhibin Subunit Beta E variant nucleic acid molecules and variant polypeptides.

Abstract: A system is disclosed for identifying a user based on the classification of user characteristic data. An identity verification system receives a request from a requesting target user for access to an operational context and characteristic data describing actions of the requesting target user. The identity verification system inputs the characteristic data to an identity confidence model to determine an identity confidence value describes a likelihood that an identity of the requesting target user matches an authenticating identity and determines a false match rate and false non-match rate, which represent a performance of the identity confidence model. The identity verification system determines a match probability for the requesting target user by adjusting the identity confidence value based on the determined false match rate and false non-match rate and grants the requesting target user access to the operational context if match probability is greater than the operational security threshold.

Abstract: The present disclosure provides methods of treating subjects having obesity and/or increased body mass index (BMI), and methods of identifying subjects having an increased risk of developing obesity and/or BMI.

Abstract: A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed based upon data indicative of at least one of vehicle damage or a vehicle defect being shown in the one or more sets of imaging data. Based upon the analyzing of the one or more sets of imaging data, damage to the vehicle or a defect of the vehicle may be identified. The identified damage or defect may be compared to a claimed damage or defect to determine whether the claimed damage or defect occurred.

Abstract: A system is configured to delivering radiofrequency power to the endometrial lining tissue of a uterine cavity, including modulating the delivered power so that a measured impedance of the endometrial lining tissue tracks a target impedance as a function of time, wherein the target tissue impedance is derived from a function that approximates a preferred endometrial lining tissue ablation impedance curve that is determined based upon a measured impedance of the endometrial lining tissue after RF power has been delivered for a predetermined initial time period.

Abstract: Techniques for a privacy-based user data sharing protocol disclose a system that receives a request to consent to share user data with a subscriber device. The system identifies, based on the request, a smart contract associated with the subscriber device. The smart contract comprises one or more conditions for collecting and managing the user data. The system generates a token based on the smart contract, in which the token indicates consent by a user to share the user data with the subscriber device according to the one or more conditions. The system records the generated token to a blockchain.

Abstract: An intention detection mechanism detects a target user accessing an operational context and accesses sensor data collected by a plurality of sensors encoding signals describing one or more characteristics of the target user and surroundings of the target user. The intention detection mechanism converts the accessed sensor data into a multi-channel sensor data time series, where each channel represents a characteristic of the target user. The intention detection mechanism compares the sensor data time series to a multi-channel intentionality template to determine whether the sensor data time series contains the multi-channel intentionality template. The multi-channel intentionality template describes characteristics indicative of an intent of a target user accessing the operational context. If the sensor data time series contains the multi-channel intentionality template, the intention detection mechanism communicates a signal confirming that the target user intended to access to the operational context.

Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data from a mobile device operated by a target user. From the sequences of motion data, the identity verification system identifies a plurality of identity blocks representing different movements performed by the target user and encodes a set of signature sequences from each identity block into a feature vector. Each feature vector is input to a confidence model to output an identity confidence value for an identity block. An identity confidence value describes a confidence that the movement in the identity block was performed by the target user. The identity confidence value is compared to an operational security threshold and if identity confidence value is above the threshold, the target user is granted access to an operational context.

Abstract: A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed based upon data indicative of at least one of vehicle damage or a vehicle defect being shown in the one or more sets of imaging data. Based upon the analyzing of the one or more sets of imaging data, damage to the vehicle or a defect of the vehicle may be identified. The identified damage or defect may be compared to a claimed damage or defect to determine whether the claimed damage or defect occurred.

Abstract: An intention detection mechanism detects a target user accessing an operational context and accesses sensor data collected by a plurality of sensors encoding signals describing one or more characteristics of the target user and surroundings of the target user. The intention detection mechanism converts the accessed sensor data into a multi-channel sensor data time series, where each channel represents a characteristic of the target user. The intention detection mechanism compares the sensor data time series to a multi-channel intentionality template to determine whether the sensor data time series contains the multi-channel intentionality template. The multi-channel intentionality template describes characteristics indicative of an intent of a target user accessing the operational context. If the sensor data time series contains the multi-channel intentionality template, the intention detection mechanism communicates a signal confirming that the target user intended to access to the operational context.

Abstract: The present application describes a sleeve for retaining a container. The sleeve comprising: a front element, a rear element, and a plurality of side elements. The front element comprises a substantially inelastic material forming a pouch. The front element further comprises a top edge and an exterior surface. The top edge defines a front aperture, and the front element further comprises an elastic collar attached to the top edge. The rear element comprises a substantially inelastic material forming a closeable space. The rear element further comprises a zipper and an exterior surface. The zipper is configured to open and close the closeable space. The plurality of side elements comprise an elastic material.

Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data from a mobile device operated by a target user. From the sequences of motion data, the identity verification system identifies a plurality of identity blocks representing different movements performed by the target user and encodes a set of signature sequences from each identity block into a feature vector. Each feature vector is input to a confidence model to output an identity confidence value for an identity block. An identity confidence value describes a confidence that the movement in the identity block was performed by the target user. The identity confidence value is compared to an operational security threshold and if identity confidence value is above the threshold, the target user is granted access to an operational context.

Abstract: A multi-coil voice coil motor (VCM) may be configured to be used as a haptic actuator for providing haptic feedback to a user. When implemented in a handheld controller having one or more controls, the multi-coil VCM may be configured to provide haptic feedback to a user of the controller. The multi-coil VCM may include a housing, multiple concentric coils, and a magnet coupled to the housing. The multiple concentric coils may include a first coil disposed on a first support coupled to the housing and a second coil disposed on a second support coupled to the housing, wherein the multiple concentric coils may have different diameters to allow for the concentricity of the coils. A system may include one or more haptic actuators, such as the multi-coil VCM, the haptic actuator(s) being configured to provide haptic feedback by causing at least a portion of a finger-operated control(s) to vibrate.

Abstract: A distributed identity server cluster maintains a first communication channel between an endpoint device in a first geographic region and a first server. The first server receives a request from the endpoint device to communicate with an application containing a digital key for accessing the endpoint device and stored at an authentication device located in a second geographic region. The server cluster transmits a notification to the application with instructions for the authentication device to connect to the server cluster. The server cluster opens a second communication channel between the authentication device and a second server in communication with the first server. The server cluster transmits data between the endpoint device and the authentication device across the first communication channel and the second communication channel.

Abstract: An identity verification system is disclosed for identifying a user based on the classification of user characteristic data. The identity verification system receives a request for access to an operational context that comprises authentication credentials representing an identity of a requesting target user. The system authenticates the identity of the requesting target user by determining an identity confidence value describing a likelihood that an identity of the requesting target user matches the identity represented by the authentication credentials. The system determines a proximity of the requesting target user to the operational context by determining a distance between a location of the requesting computing device and a location of an authenticating computing device operated by the requesting target user. The system grants the request from the requesting target user for access to the operational context if the requesting target user is within a threshold proximity of the operational context.

Abstract: A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed based upon data indicative of at least one of vehicle damage or a vehicle defect being shown in the one or more sets of imaging data. Based upon the analyzing of the one or more sets of imaging data, damage to the vehicle or a defect of the vehicle may be identified. The identified damage or defect may be compared to a claimed damage or defect to determine whether the claimed damage or defect occurred.

Abstract: Described herein are controllers with sensor-rich controls for enhanced controller functionality. An example control may include a pressure sensor that is configured to detect an amount of a force of a press on a cover of the control based at least in part on a proximity of a metal layer to the pressure sensor. This control may further include a touch sensor for detecting an object contacting the cover of the control. Additional embodiments disclose, among other things, integrated trackpads and D-pads, as well as backlighting features that indicate a functional state of the controller.

Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data from a mobile device operated by a target user. From the sequences of motion data, the identity verification system identifies a plurality of identity blocks representing different movements performed by the target user and encodes a set of signature sequences from each identity block into a feature vector. Each feature vector is input to a confidence model to output an identity confidence value for an identity block. An identity confidence value describes a confidence that the movement in the identity block was performed by the target user. The identity confidence value is compared to an operational security threshold and if identity confidence value is above the threshold, the target user is granted access to an operational context.

Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data from a mobile device operated by a target user. From the sequences of motion data, the identity verification system identifies a plurality of identity blocks representing different movements performed by the target user and encodes a set of signature sequences from each identity block into a feature vector. Each feature vector is input to a confidence model to output an identity confidence value for an identity block. An identity confidence value describes a confidence that the movement in the identity block was performed by the target user. The identity confidence value is compared to an operational security threshold and if identity confidence value is above the threshold, the target user is granted access to an operational context.