Abstract: Systems and methods are disclosed for automatically determining property value, the systems and methods perform operations comprising: receiving, by a server, subject real-estate property listing information associated with a subject real-estate property; identifying a plurality of comparable real-estate property listings based on attributes of the subject real-estate property listing information; processing the subject real-estate property listing information together with the plurality of comparable real-estate property listings using a trained machine learning technique to predict a value for the subject real-estate property, the trained machine learning technique being trained to jointly establish a relationship between weights assigned to a set of training comparable real-estate property listings and value adjustments of the set of training comparable real-estate property listings and a value of a real-estate property of interest; and performing an action with respect to the subject real-estate property

Abstract: Systems and methods for the external aiding of inertial navigation systems are described herein. In certain embodiments, a device includes an inertial navigation system. In some embodiments, the inertial navigation system includes one or more inertial sensors and an input interface for receiving measurements. In further embodiments, the measurements include at least one of delta attitude and/or delta position measurements from an external system, and position and attitude information in an arbitrary map frame. In certain embodiments, the inertial navigation system includes a computation device that is configured to calibrate the errors from the one or more inertial sensors using the received measurements.

Abstract: A fan assembly includes a fan body, a motor-driven impeller contained within the fan body and arranged to generate an air flow, a nozzle including a nozzle body having an air inlet arranged to receive the air flow from the fan body, and one or more air outlets arranged to emit the airflow from the fan assembly. The fan assembly further includes a nozzle retaining mechanism for releasably retaining the nozzle on the fan body, and a rotation mechanism for rotating the nozzle body relative to the fan body. The nozzle rotation mechanism includes a rotation motor arranged to drive a drive member and a driven member that is arranged to be driven by the drive member to rotate around a rotation axis.

Abstract: Techniques for using a network to decompose an HRTF data set to generate approximation data and to render an audio signal using the approximation data are disclosed herein. An input HRTF data set is fed into the network, which then generates approximation data that includes mixing channel gains, FIR filter coefficients, and basis filter shapes. This approximation data controls various components in the network. When the input HRTF data set is fed as input into the network, then the output of the network is an output approximated HRTF data set. The network iteratively fine tunes the approximation data until the output approximated HRTF data set sufficiently matches the input HRTF data set. After the approximation data is sufficiently tuned, the approximation data is later used by the network to render an audio signal.

Abstract: A method for inertial sensor error modeling and compensation comprises obtaining multiple bias drift datasets for an elapsed time period for one or more gyroscopes; generating a 3D bias drift data plot using the multiple bias drift datasets; generating a partial bias drift data image based on the 3D bias drift data plot; and inputting the partial bias drift data image into a machine learning algorithm to predict how bias drift evolves over time for the gyroscopes. The machine learning algorithm uses the partial bias drift data image, the elapsed time period, and temperature history to compute a predicted bias over temperature with respect to time, to thereby predict bias drift data for a future time period for the gyroscopes. The machine learning algorithm outputs a completed bias drift image that represents drift data from the elapsed time period and the predicted bias drift data for the future time period.

Abstract: Crosslinked polymers and related compositions and related compositions, electrochemical cells, batteries, methods and systems are described. The crosslinked polymers have at least one redox active monomeric moiety having a redox potential of 0.5 V to 3.0 V with reference to Li/Li+ electrode potential under standard conditions or ?2.54 V to ?0.04 V vs. SHE and has a carbocyclic structure and at least one carbonyl group or a carboxyl group on the carbocyclic structure. The crosslinked polymers also include at least one comonomeric moiety with at least one of the at least one redox active monomeric moiety and/or the at least one comonomeric moiety has a denticity of three to six corresponding to a three to six connected network polymer, and provide stable, high capacity organic electrode materials.

Abstract: A method for inertial sensor error modeling and compensation comprises obtaining multiple bias drift datasets for an elapsed time period for one or more gyroscopes; generating a 3D bias drift data plot using the multiple bias drift datasets; generating a partial bias drift data image based on the 3D bias drift data plot; and inputting the partial bias drift data image into a machine learning algorithm to predict how bias drift evolves over time for the gyroscopes. The machine learning algorithm uses the partial bias drift data image, the elapsed time period, and temperature history to compute a predicted bias over temperature with respect to time, to thereby predict bias drift data for a future time period for the gyroscopes. The machine learning algorithm outputs a completed bias drift image that represents drift data from the elapsed time period and the predicted bias drift data for the future time period.

Abstract: Systems and methods for the external aiding of inertial navigation systems are described herein. In certain embodiments, a device includes an inertial navigation system. In some embodiments, the inertial navigation system includes one or more inertial sensors and an input interface for receiving measurements. In further embodiments, the measurements include at least one of delta attitude and/or delta position measurements from an external system, and position and attitude information in an arbitrary map frame. In certain embodiments, the inertial navigation system includes a computation device that is configured to calibrate the errors from the one or more inertial sensors using the received measurements.

Abstract: The present invention relates to compounds and compositions capable of acting as inhibitors of small ubiquitin-like modifier (SUMO) family of proteins. The compounds and compositions may be used in the treatment of cancer. There are disclosed, inter alia, methods of inhibiting an E1 enzyme, and compounds useful for inhibiting an E1 enzyme.

Abstract: There is provided a fan assembly comprising a fan body, a motor-driven impeller contained within the fan body and arranged to generate an air flow, a nozzle comprising a nozzle body having an air inlet arranged to receive the air flow from the fan body and one or more air outlets arranged to emit the airflow from the fan assembly. The fan assembly further comprises a nozzle retaining mechanism for releasably retaining the nozzle on the fan body, and a rotation mechanism for rotating the nozzle body relative to the fan body. The nozzle rotation mechanism comprises a rotation motor arranged to drive a drive member and a driven member that is arranged to be driven by the drive member to rotate around a rotation axis, wherein the nozzle body comprises the driven member and the fan body comprises the rotation motor and the drive member.

Abstract: Techniques for using a network to decompose an HRTF data set to generate approximation data and to render an audio signal using the approximation data are disclosed herein. An input HRTF data set is fed into the network, which then generates approximation data that includes mixing channel gains, FIR filter coefficients, and basis filter shapes. This approximation data controls various components in the network. When the input HRTF data set is fed as input into the network, then the output of the network is an output approximated HRTF data set. The network iteratively fine tunes the approximation data until the output approximated HRTF data set sufficiently matches the input HRTF data set. After the approximation data is sufficiently tuned, the approximation data is later used by the network to render an audio signal.

Abstract: This disclosure is drawn to pyridine derivatives, compositions thereof, and associated methods, useful for inhibition of SARM1 activity and/or for treating or preventing neurological disorders.

Abstract: Crosslinked polymers and related compositions and related compositions, electrochemical cells, batteries, methods and systems are described. The crosslinked polymers have at least one redox active monomeric moiety having a redox potential of 0.5 V to 3.0 V with reference to Li/Li+ electrode potential under standard conditions or ?2.54 V to ?0.04 V vs. SHE and has a carbocyclic structure and at least one carbonyl group or a carboxyl group on the carbocyclic structure. The crosslinked polymers also include at least one comonomeric moiety with at least one of the at least one redox active monomeric moiety and/or the at least one comonomeric moiety has a denticity of three to six corresponding to a three to six connected network polymer, and provide stable, high capacity organic electrode materials.

Abstract: A coupler for securing an attachment to an earth working machine. The coupler comprises a coupler body that presents a receptacle having a capture region. A pin of an attachment can move into and out of the capture region. A retainer can capture the pin in the capture region but the retainer can be moved by a hydraulically driven driver to a position to allow release of the pin from the capture region. A trigger that the pin will strike when the pin moves into or out of the capture region, decouples the driver from the retainer and the retainer is then allowed to be biased back to its retaining position by a spring.

Abstract: Systems and methods for multiple inertial measurement unit sensor fusion using machine learning are provided herein. In certain embodiments, a system includes inertial sensors that produce inertial measurements, a memory unit that stores a fusion model produced by at least one machine learning algorithm, and a processor that receives inertial measurements, where the processor applies the fusion model to the inertial measurements. The fusion model directs the processor to extract features from the inertial measurements, and to select inertial measurements based on a sensor in the plurality of inertial sensors that produced the inertial measurements. Also, the fusion model directs the processor to apply weights to the selected inertial measurements based on the extracted features, to apply compensation coefficients to the selected inertial measurements, and to fuse the selected inertial measurements into an inertial navigation solution.

Abstract: The description relates to representing acoustic characteristics of real or virtual scenes. One method includes generating directional impulse responses for a scene. The directional impulse responses can correspond to sound departing from multiple sound source locations and arriving at multiple listener locations in the scene. The method can include processing the directional impulse responses to obtain coherent sound signals and incoherent sound signals. The method can also include encoding first perceptual acoustic parameters from the coherent sound signals and second perceptual acoustic parameters from the incoherent sound signals, and outputting the encoded first perceptual acoustic parameters and the encoded second perceptual acoustic parameters.

Abstract: Provided herein are mammalian cells comprising a first exogenous nucleic acid encoding a DNAse protein and a second exogenous nucleic acid encoding another DNAse protein, such as DNASE1 protein and DNASE1L3 protein, that have improved properties, including the ability to degrades extracellular chromatin and remove Neutrophil Extracellular Traps (NETs). Use of these cells, including the use in the treatment of a subject in need thereof, is also contemplated.

Abstract: The present invention relates to a biological sample quality apparatus for determining the quality of a biological sample. The apparatus includes a sample receiver for receiving the biological sample. One or more light sources are provided for supplying light to the sample. An image sensor is provided for capturing an image of the lit sample. The apparatus also includes an image processor for image processing the captured image to determine the quality of the sample. Advantageously, image processing may be used to determine the quality of a sample for use in collection sites and screening laboratories so that acceptability can be determined prior to analyzing the sample. Determination that the sample is of sufficient quality (e.g. sufficient biomaterial) prior to analyzing saves wastage of laboratory time and expense of materials and chemicals. The apparatus may be in the form of desktop or hand-held portable variations.

Abstract: This disclosure is drawn to pyridine derivatives, compositions thereof, and associated methods, useful for inhibition of SARM1 activity and/or for treating or preventing neurological disorders.

Abstract: This disclosure is drawn to pyridine derivatives, compositions thereof, and associated methods, useful for inhibition of SARM1 activity and/or for treating or preventing neurological disorders.