Abstract: Refrigerant compositions including 2,3,3,3-tetrafluoropropene (HFO-1234yf) and propylene (R-1270) which exhibit near-azeotropic or azeotrope-like behavior. The refrigerant compositions exhibit a low global warming potential (GWP) and are non-ozone depleting. The refrigerant compositions are useful as a heating or cooling fluids in a variety of heating or cooling systems including heat pumps and other heating and cooling loops, in for example the automotive industry.

Abstract: A combined cycle power plant CCPP includes one turbomachine and heat recovery steam generator HRSG that is shutdown (or offline) and a second turbomachine and heat recovery steam generator HRSG that is online. The HRSG supplied duct dampers can provide sealing air therein to ensure no back flow from the online turbomachine to the shutdown turbomachine of the plant. However, as cooling flow is desired, a controlled flow may be implemented to allow cooling flow to the shutdown turbomachine. This solution is valuable to cool CCPP configurations with multiple (e.g., 2) HRSGs discharging into a common exhaust stack without individual flues dedicated to each HRSG, regardless of turbomachine configuration.

Abstract: The present disclosure provides a description of systems and methods for providing guidance to adjust settings of a router. A mobile device receives user input to aid in establishing a connection between a media storage device and a media player device via a network. The media storage device and the media player device are unable to discover one another via the network. The mobile device transmits, to a router providing the network, a request for current settings information of the router. In response, the mobile device receives, from the router, the current settings information of the router. The mobile device determines, from the current settings information of the router, whether one or more settings are preventing the media storage device and the media player device from discovering one another via the network. The mobile device then generates a window providing options for guidance to change settings of the router.

Abstract: Security risk evaluation across user devices is disclosed herein. An example method includes identifying a user and one or more devices associated with the user, collecting information identifying applications used by the user on the one or more devices, determining respective security sub-scores for each item of the one or more devices, computing an overall security score for the user based, at least in part, on an aggregation of the security sub-scores, and creating a user profile based on the overall security score, the user profile to enable the at least one of the one or more devices to exchange data with an external device when the overall security score meets a security score threshold, the user profile to prevent the at least one of the one or more devices from exchanging data with the external device when the overall security score does not meet the security score threshold.

Abstract: Included is a homogeneous sheet, which excludes polyvinylchloride. The sheet includes a polyurethane, a synthetic rubber blend, and a filler. The synthetic rubber blend may include a pre-mix of a synthetic rubber and white oil.

Abstract: Examples disclosed herein may generate a refined and denoised body pose data from a video feed of a sporting event. Tracking data containing player locations may be used to determine correspondence between a location and a body pose. For example, body pose with middle of key footpoints with shortest distance from the location may be selected as a likely body pose for the location. The body pose data may be refined to estimate the length of missing limbs or limbs with unusual length ratios. The body pose data may further be filtered to filter out unwanted body poses such as body poses of spectators or noisy body poses. The refined and filtered body pose data may be used for other downstream processing such as projecting the body poses to a three dimensional play surface.

Abstract: An application for tracking cancer therapy symptom triggers stored on non-transitory computer readable media including an input module for inputting variables from a user in electronic communication with an output variable module, an analysis module for analyzing input variables and output variables, and an output module for presenting results to the user. A method of tracking triggers of symptoms in cancer patients, by a user inputting data about nutrition, medication, lifestyle, symptoms due to cancer therapy, pain, and user defined metrics in an application stored on non-transitory computer readable media, performing an analysis on the data, and outputting a result from the data identifying daily activities that effect the user's symptoms due to cancer therapy. A method of adjusting treatment of a cancer patient.

Abstract: Disclosed herein are system, method, and computer program product embodiments for ride hailing an autonomous vehicle by a third party. For example, the method includes: receiving, from a user device associated with a user account of a user for an autonomous vehicle service, (i) a request to add a rider profile associated with a rider other than the user to the user account and (ii) rider information associated with the rider; generating, based on the rider information, the rider profile; receiving, from the user device, a pick-up request associated with (i) the user account and (ii) the rider profile; assigning, based on the pick-up request, an autonomous vehicle to pick-up the rider; and providing, to the autonomous vehicle assigned to pick-up the rider, based on the rider profile, an indication of a type of identification to use to identify the rider and/or unlock the autonomous vehicle when picking-up the rider.

Abstract: An integrated circuit includes: a radio-frequency (RF) to direct current (DC) rectifying circuit coupled to one or more antenna on an implantable wirelessly powered device, the rectifying circuit configured to: rectify an input RF signal received at the one or more antennas and from an external controller through electric radiative coupling; and extract DC electric power and configuration data from the input RF signal; a logic control circuit connected to the rectifying circuit and a driving circuit, the logic control circuit configured to: generate a current for the driving circuit solely using the extracted DC electrical power; in accordance with the extracted configuration data, set polarity state information for each electrode; and a driving circuit coupled to one or more electrode, the driving circuit comprising current mirrors and being configured to: steer, to each electrode and via the current mirrors, a stimulating current solely from the generated current.

Abstract: A control system may include a direct-current (DC) power bus for charging internal energy storage elements in control devices of the control system. For example, the control devices may be motorized window treatments configured to adjust a position of a covering material to control the amount of daylight entering a space. The system may include a bus power supply that may generate a DC voltage on the DC power bus. For example, the DC power bus may extend from the bus power supply around the perimeter of a floor of the building and may be connected to all of the motorized window treatments on the floor (e.g., in a daisy-chain configuration). An over-power protection circuit may be configured to disconnect the bus power supply if a bus current exceeds a threshold for a period of time.

Abstract: Disclosed herein is electrode comprising a current collector comprising a conductor layer having at least a first surface; and elongated metal carbide nanostructures extending from the first surface; and a carbonaceous energy storage media disposed on the first surface and in contact with the elongated metal carbide nanostructures. Disclosed herein too is an ultracapacitor comprising at least one electrode comprising a current collector comprising a conductor layer having at least a first surface; and elongated metal carbide nanostructures extending from the first surface; and a carbonaceous energy storage media disposed on the first surface and in contact with the elongated metal carbide nanostructures.

Abstract: A system for applying material to a substrate includes a nozzle, robot, actuator, sensor, and controller. The robot provides primary movement such that the nozzle traverses a predefined global bead path across and spaced apart from the substrate. The actuator provides secondary relative movement between the nozzle and substrate. The sensor senses a first location on the substrate that is spaced apart from a location where the nozzle deposits material by a distance based on a sensor response time and relative speed of the nozzle and substrate. The controller detects a feature of the substrate based on the data received from the sensor. The controller directs the actuator to provide the secondary relative movement such that a bead of material is applied to the substrate along a feature-relative bead path. The controller controls the actuator to provide the secondary relative movement based on the response time and the relative speed.

Abstract: Innovations in phase quantization during speech encoding and phase reconstruction during speech decoding are described. For example, to encode a set of phase values, a speech encoder omits higher-frequency phase values and/or represents at least some of the phase values as a weighted sum of basis functions. Or, as another example, to decode a set of phase values, a speech decoder reconstructs at least some of the phase values using a weighted sum of basis functions and/or reconstructs lower-frequency phase values then uses at least some of the lower-frequency phase values to synthesize higher-frequency phase values. In many cases, the innovations improve the performance of a speech codec in low bitrate scenarios, even when encoded data is delivered over a network that suffers from insufficient bandwidth or transmission quality problems.

Abstract: Various aspects of this disclosure relate to methods to lower the activation energy of the cannabinoid decarboxylation reaction by performing the decarboxylation reaction in the gas phase.

Abstract: The invention relates to the soybean variety designated 01094726. Provided by the invention are the seeds, plants and derivatives of the soybean variety 01094726. Also provided by the invention are tissue cultures of the soybean variety 01094726 and the plants regenerated therefrom. Still further provided by the invention are methods for producing soybean plants by crossing the soybean variety 01094726 with itself or another soybean variety and plants produced by such methods.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. One of the methods includes, at each of a plurality of generation time steps: generating a combined sequence for the generation time step that includes the input sequence followed by the output tokens that have already been generated as of the generation time step; processing the combined sequence using a self-attention decoder neural network to generate a time step output that defines a score distribution over a set of possible output tokens; and selecting, using the time step output, an output token from the set of possible output tokens as the next output token in the output sequence.

Abstract: This document relates to training of machine learning models. One example method involves providing a machine learning model having one or more mapping layers. The one or more mapping layers can include at least a first mapping layer configured to map components of pretraining examples into first representations in a space. The example method also includes performing a pretraining stage on the one or more mapping layers using the pretraining examples. The pretraining stage can include adding noise to the first representations of the components of the pretraining examples to obtain noise-adjusted first representations. The pretraining stage can also include performing a self-supervised learning process to pretrain the one or more mapping layers using at least the first representations of the training data items and the noise-adjusted first representations of the training data items.