Abstract: In one embodiment, the present disclosure relates to a system that includes a plate holder and an awl. The plate holder has a first end and a second end with an engagement feature at the second end that is engageable with a bone plate. The awl is releasably engaged to the plate holder and includes a locking mechanism adjustable from a first setting to a second setting and a tip. When the locking mechanism is in the first setting, the awl is fixed relative to the plate holder and the tip is disposed within the plate holder. When the locking mechanism is in the second setting, the awl is axially translatable relative to the plate holder such that the tip of the awl extends out of the second end of the plate holder.

Abstract: Systems and methods are described for using data collected by unmanned aerial vehicles (UAVs) to generate insurance claim estimates that an insured individual may quickly review, approve, or modify. When an insurance-related event occurs, such as a vehicle collision, crash, or disaster, one or more UAVs are dispatched to the scene of the event to collect various data, including data related to vehicle or real property (insured asset) damage. With the insured's permission or consent, the data collected by the UAVs may then be analyzed to generate an estimated insurance claim for the insured. The estimated insurance claim may be sent to the insured individual, such as to their mobile device via wireless communication or data transmission, for subsequent review and approval. As a result, insurance claim handling and/or the online customer experience may be enhanced.

Abstract: Disclosed herein are methods for performing assays, including general functional assays, on a biological cell. Also disclosed herein are methods of barcoding the 5? ends of RNA from a biological cell and methods of preparation of expression constructs from the barcoded RNA. The barcoded RNA can encode proteins of interest, such as B cell receptor (BCR) heavy and light chain sequences. The expression constructs can be generated individually or in a paired/multiplexed manner, allowing rapid re-expression of individual proteins or protein complexes.

Abstract: Unmanned aerial vehicles (UAVs) may facilitate insurance-related tasks. UAVs may actively be dispatched to an area surrounding a property, and collect data related to property. A location for an inspection of a property to be conducted by a UAV may be received, and one or more images depicting a view of the location may be displayed via a user interface. Additionally, a geofence boundary may be determined based on an area corresponding to a property boundary, where the geofence boundary represents a geospatial boundary in which to limit flight of the UAV. Furthermore, a navigation route may be determined which corresponds to the geofence boundary for inspection of the property by the UAV, the navigation route having waypoints, each waypoint indicating a location for the UAV to obtain drone data. The UAV may be directed around the property using the determined navigation route.

Abstract: Various control systems and methods for a working machine such as a compactor are disclosed. The control system can include any one or combination of components including a controller in communication with at least a steering system and a position sensor. The controller can be configured to: receive position data from the position sensor including during operator implemented steering of the compactor, save the position data to a memory, determine from the position data saved in the memory a possible intent by an operator to create a compaction area, generate a prompt on an operator interface to confirm an actual intent of the operator, and generate a compaction plan for autonomously steering the compactor to compact in the compaction area. The compaction plan can be based at least partially upon the operator implemented steering of the compactor. The controller can implement the compaction plan via autonomous steering.

Abstract: An applicator for an analyte monitoring device may include an actuatable housing having a body defining a cavity therein and having a distal opening and a side opening. A cuff and a shuttle are received within the cavity and are separately translatable relative to the housing body. A base may removable engage the housing body at the distal opening. The housing body, the cuff, the shuttle, and/or the base may be engaged with one another with one or more releasable coupling features. The base may be removed from an engagement with the housing body, causing the cuff and the shuttle to be aligned and positioned in a configuration in which the analyte monitoring device, held by the shuttle, is ready for insertion into the skin.

Abstract: Bicycle suspension systems are presented including: a frame for supporting a rider, where the frame includes a seat tube; a pivot assembly located proximate with a bottom portion of the seat tube; a swing arm pivotably coupled with the pivot assembly, where the swing arm is configured to resist twisting and flexing; and a pair of shocks each coupled along a distal end portion of the swing arm and coupled proximate with a top portion of the seat tube. In some embodiments, the swing arm includes: a pair of non-parallel chain stays each terminating with a rear dropout on a distal end of the pair of non-parallel chain stays; and a bridge coupled with the pair of non-parallel chain stays and positioned proximate to the pivot assembly.

Abstract: A computing device selects new test configurations for testing software. Software under test is executed with first test configurations to generate a test result for each test configuration. Each test configuration includes a value for each test parameter where each test parameter is an input to the software under test. A predictive model is trained using each test configuration of the first test configurations in association with the test result generated for each test configuration based on an objective function value. The predictive model is executed with second test configurations to predict the test result for each test configuration of the second test configurations. Test configurations are selected from the second test configurations based on the predicted test results to define third test configurations. The software under test is executed with the defined third test configurations to generate the test result for each test configuration of the third test configurations.

Abstract: An explosive cord is disclosed. In various embodiments, the explosive cord includes a tube having a tube inner surface and a tube outer surface, the tube inner surface defining a hollow interior that extends along a length of the tube; a carrier fiber disposed within the hollow interior of the tube, the carrier fiber having a carrier fiber exposed surface area; and a reactive material disposed on the carrier fiber exposed surface area.

Abstract: A thermal liner can include a single piece of resilient insulation material; and an outer covering coupled to the single piece of resilient insulation material; and wherein a first portion of the thermal liner defines a first end of the thermal liner; a second portion of the thermal liner defines a second end of the thermal liner; a third portion of the thermal liner is positioned between the first portion and the second portion; the single piece of resilient insulation material at least partially defining each of the first portion, the second portion, and the third portion; the thermal liner is configured to fold to a C-shaped configuration; the first portion is positioned substantially parallel to the second portion in the C-shaped configuration; and the third portion is substantially perpendicular to the first portion and the second portion in the C-shaped configuration.

Abstract: An insulated packaging assembly can include a box including a top side wall, a bottom side wall, a first lateral side wall, a second lateral side wall, a third lateral side wall, and a fourth lateral side wall, the box defining a cavity; a first thermal liner positioned in the cavity, a first portion of the first thermal liner positioned in contact with the top side wall, a second portion of the first thermal liner positioned in contact with the first lateral side wall, a third portion of the first thermal liner positioned in contact with the bottom side wall; and a second thermal liner positioned in the cavity, a first portion of the second thermal liner positioned in contact with the second lateral side wall, a second portion of the second thermal liner positioned in contact with the third lateral side wall.

Abstract: A method and system employing deep learning techniques improves processing speed and spatial resolution of acoustic wavenumber spectroscopy (ASSESS) techniques by performing semantic segmentation on simulated ultrasonic wavefield images of a steady-state, select-tone excitation of a structural or mechanical component. One or more embodiments may employ a convolutional neural network (CNN), pre-trained on openly-available datasets, and trained by transfer learning on an augmented wavefield dataset, to localize and characterize defects or damage from inspection measurements of components.

Abstract: A beverage dispensing device and methods for dispensing beverages are provided. In one embodiment, the beverage dispensing device includes a housing, a carbonation assembly, a carriage assembly, and one or more flavorant containers. The beverage dispensing device can also include a controller with a UI to allow a user to customize aspects of a beverage. These customizable aspects can include fluid volume, carbonation level, flavorant type, and/or flavorant amount. Based on the customized aspects of the beverage, the beverage dispensing device can dispense an amount of carbonated or uncarbonated water, and can dispense a type and amount of flavorant. Illustrative embodiments of flavorant containers are also provided.

Abstract: Containers are provided and include a container body having an opening extending into a hollow interior, and a cap extending across the opening. The cap has an inlet port with an inlet valve configured to couple to a fluid source such that fluid can be delivered through the inlet valve to pressurized the hollow interior of the container body. The cap also has an outlet port with an outlet valve having a cracking pressure at which the outlet valve is configured to move from a closed configuration to an open configuration to dispense fluid from the hollow interior, and a closing pressure at which the outlet valve is configured to move from the open configuration to the closed configuration to prevent fluid from passing therethrough. The cracking pressure is greater than the closing pressure.

Abstract: The methods and assays described herein relate to detection, diagnosis, and treatment of lung cancer, e.g., by detecting the level of expression of certain miRNAs described herein and/or by therapeutically increasing the level of those miRNAs.

Abstract: An applicator for an analyte monitoring device may include an actuatable housing having a body defining a cavity therein and having a distal opening and a side opening. A cuff and a shuttle are received within the cavity and are separately translatable relative to the housing body. A base may removable engage the housing body at the distal opening. The housing body, the cuff, the shuttle, and/or the base may be engaged with one another with one or more releasable coupling features. The base may be removed from an engagement with the housing body, causing the cuff and the shuttle to be aligned and positioned in a configuration in which the analyte monitoring device, held by the shuttle, is ready for insertion into the skin.

Abstract: A computer trains a neural network. A neural network is executed with a weight vector to compute a gradient vector using a batch of observation vectors. Eigenvalues are computed from a Hessian approximation matrix, a regularization parameter value is computed using the gradient vector, the eigenvalues, and a step-size value, a search direction vector is computed using the eigenvalues, the gradient vector, the Hessian approximation matrix, and the regularization parameter value, a reduction ratio value is computed, an updated weight vector is computed from the weight vector, a learning rate value, and the search direction vector or the gradient vector based on the computed reduction ratio value, and an updated Hessian approximation matrix is computed from the Hessian approximation matrix, the predefined learning rate value, and the search direction vector or the gradient vector based on the reduction ratio value. The step-size value is updated using the search direction vector.

Abstract: Techniques are disclosed relating to determining risk associated with automated authentication decisions for a multi-factor authentication scheme. In disclosed embodiments, a server system sends requests corresponding to factors in a current multi-factor authentication procedure to a mobile device. The system receives, from the mobile device, automatically generated responses for the factors, where the responses are automatically generated at the mobile device using a machine learning model based on a current set of parameters for the current procedure and a previous set of parameters for a prior procedure. Based on a current state of the mobile device received with the automatically generated responses and prior states of the mobile device stored at the server computer system, the system determines a risk score for the automatically generated responses.