Abstract: Disclosed herein is an electrolyte comprising H+ or OH? and precursors used to make a hydrogen evolution electrocatalyst, an oxygen evolution electrocatalyst, a bifunctional hydrogen/oxygen evolution electrocatalyst, or any combination thereof for use in in situ catalyst synthesis, deposition and/or utilization.

Abstract: Measurement apparatus performs a measurement of a quality indicator for an electrical insulator comprising a ratio of a first value of an electrical parameter at a first time to a second value at a second time. An output from an electrical circuit for measuring the electrical parameter for the electrical insulator is sampled to produce at least one sample and steps of sampling the output from the electrical circuit are performed to produce one or more further samples at successive increments in time and at least some of the samples are processed to generate an approximate function relating the measured electrical parameter to time. A predicted value is calculated for the quality indicator on a basis comprising the electrical parameter indicated by the approximate function for the second time and an electrical signal is generated indicating a state of the measurement based on at least the predicted value of the quality indicator.

Abstract: Techniques to apply machine learning to schedule events of interest for a device user. As described herein, a typical device user is inundated with information suggesting activities and other things to do. Using these techniques, the information is categorized according to the activity and those activities that are most likely to be engaged in by the device user are recommended to the device user (via their device) as events of interest. If the device user selects an event of interest, the device is updated to reflect that selection. For instance, a calendar application may be updated to include an event description at the event's date and time. Other embodiments are described and claimed.

Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

Abstract: A truss, comprising: a first truss member; a second truss member; and a third truss member configured to join the first truss member to the second truss member; wherein the third truss member comprises an end portion comprising: a flat base; an arm; and a shoulder raised relative to the base between the base and the arm; wherein the shoulder is substantially parallel to the base.

Abstract: Content providers may wish to display different versions of content to different users, which may require different versions of the content to be deliverable. The assignment of a particular version of the content to a particular user may also need to persist over time for that particular user. It may be desirable that this functionality occurs at an edge server of a content delivery network, rather than at an origin server. In some embodiments, the edge server may receive a user request including a user identifier for content from a user device; identify an experiment key for the user request based at least in part on the user identifier, the experiment key associated with an experimental version of the content; and transmit an experiment fetch request including the experiment key to an edge cache to retrieve the experimental version of the content.

Abstract: An exemplary system, method, and computer-accessible medium can include, for example, receiving an original dataset(s), receiving a synthetic dataset(s), training a model(s) using the original dataset(s) and the synthetic dataset(s), and evaluating the synthetic dataset(s) based on the training of the model(s). The model(s) can include a first model and a second model, and the first model can be trained using the original dataset(s) and the second model can be trained using the synthetic dataset(s). The synthetic dataset(s) can be evaluated by comparing first results from the training of the first model to second results from the training of the second model.

Abstract: An automated system of airborne drones may be equipped with components for navigating within a warehouse environment, locating specific bins of product as assigned, retrieving a single item from the bin, and delivering the retrieved item to a central shipping area or disposing in a designated location including conveyor belts or mobile robotic platforms.

Abstract: According to some embodiments, a spacecraft includes an electronics housing having a sun-facing side. The spacecraft further includes a peel-and-stick thermal control material coupled to the sun-facing side of the electronics housing. The peel-and-stick thermal control material includes a non-metallic optical interface coating, a carrier film, and an adhesive.

Abstract: Hair coloring appliances include an elongate handle and a consumable assembly removably couplable to the handle. The consumable assembly has a manifold chamber with a fluid inlet in selective fluid communication with a first formulation fluid source, a plurality of outlet nozzles configured to discharge a first formulation from the manifold chamber, and a distribution protrusion extending into the manifold chamber and configured to direct the flow of the first formulation from the fluid inlet to each of the plurality of outlet nozzles.

Abstract: A storage tunnel assembly for the bed of a pickup truck or other vehicle. The storage tunnel assembly generally includes a deployable vertical wall separated from a bulkhead of the bed and disposed across a width of the bed and a deployable cover separated from a floor of the bed between the vertical wall and the bulkhead and disposed across the width of the bed. The vertical wall, the cover, the bulkhead, and the floor define a storage space within a space defined by the bed. The vertical wall and the cover may be fixed components, separate components, and/or hinged components in various assemblies. One or both side walls of the bed define a storage tunnel access opening coincident with the storage space defined by the vertical wall, the cover, the bulkhead, and the floor and may include a door adapted to selectively open and close the associated storage tunnel access opening.

Abstract: The present technology is generally directed to methods and systems for automated food packaging. The method and system includes singulating a plurality of elongate food products into a plurality of individual product pieces, conveying the plurality of individual product pieces along a moving surface, depositing a portion of the individual product pieces into a bucket, where the products are deposited such that a length of greater than about 90% of the individual product pieces are generally aligned parallel with the first side or second side of the bucket. Methods and systems include measuring a height between a top surface of the deposited portion of produce pieces and a top side of the moving surface, vertically lowering the bucket if the measured height is less than a threshold amount, and depositing a second portion of individual product pieces into the vertically lowered bucket.

Abstract: A non-combustible aerosol provision system includes an article comprising a rod of aerosol generating material having a circumference greater than 19 mm and a non-combustible aerosol provision device for heating the aerosol generating material of the article, the non-combustible aerosol provision device comprising a coil.

Abstract: Embodiments of systems and methods for generating user interfaces are described. In an embodiment, a monitoring tool can observe the user's interaction with a computing device, collect input and output operation data, and calculate a user effectiveness score based on the collected data. A user interface can be generated based on the user effectiveness score to match the user's proficiency.

Abstract: This disclosure includes methods and systems for producing ophthalmic lenses. Some methods include identifying a plurality of zones within a spatial representation of a lens blank, selecting, for each of the zones, one or more parameters for producing the lens, and producing the lens by removing material from the lens blank according to the one or more parameters of each of the zones.

Abstract: Systems and methods are disclosed for assessing cardiovascular disease and treatment effectiveness based on adipose tissue. One method includes identifying a vascular bed of interest in a patient's vasculature; receiving a medical image of the patient's identified vascular bed of interest; identifying adipose tissue in the received medical image; receiving a geometric vascular model comprising a representation of the patient's identified vascular bed of interest; and computing an inflammation index associated with the geometric vascular model, using the identified adipose tissue.

Abstract: A method includes: accessing objects, generated by a set of sources, representing attributes of assets, affiliated with a computer network, including a set of endpoint devices and a first application; partitioning the objects into object groups including a first object group representing the first application; aggregating objects in the first object group into a first user container representing the first application during the first time interval; and, in response to selection of the first application at an operator portal: generating a visualization representing a subset of endpoint devices, in the set of endpoint devices, on which the first application is installed during the first time interval based on a set of attributes, exhibited by the first application during the first time interval, contained in the first application container; and rendering the visualization at the operator interface.

Abstract: A method comprising retrieving a plurality of clinical trial records from a clinical trial database; mapping each of the plurality of clinical trial records to one or more of a plurality of payment records from a payment database, manifesting a set of mapped records; merging each of the plurality of clinical trial records with the one or more of the plurality of payment records based on the set of mapped records, forming a merged dataset comprising a plurality of merged data entries; estimating imputed enrollees for each of the merged data entries; determining a ranking for each of the one or more ranking factors for each of the merged data entries; determining a score for each of the merged data entries based on the rankings; and generating a visualizer based on at least the score for each of the merged data entries.

Abstract: An image-based approach for statistical shape and appearance modeling includes re-orienting (rotating/translating) training masks to align the training masks with a reference mask to provide corresponding re-orientation parameters, where the training masks represent 3-dimensional shapes of a population of objects and the reference mask represents a 3-dimensional shape of a reference object, deforming the re-oriented training masks based on the reference mask to provide displacement fields indicative of differences between a 3-dimensional shape of the reference mask and 3-dimensional shapes of the re-oriented training masks, re-orienting training backgrounds based on the re-orientation parameters, where the training backgrounds represent volumetric intensity data of the 3-dimensional images of the objects, deforming the re-oriented training backgrounds based on the displacement fields, combining the deformed training backgrounds and the displacement fields, and reducing a dimensionality of the combined deforme

Abstract: Provided herein are high energy ion beam generator systems and methods that provide low cost, high performance, robust, consistent, uniform, low gas consumption and high current/high-moderate voltage generation of neutrons and protons. Such systems and methods find use for the commercial-scale generation of neutrons and protons for a wide variety of research, medical, security, and industrial processes.