Abstract: The present invention is directed to certain 2-aminoquinzaoline derivatives of Formula (I) and pharmaceutically acceptable salts thereof, wherein R1, R2, and R3 are as defined herein, which are potent inhibitors of LRRK2 kinase and may be useful in the treatment or prevention of diseases in which the LRRK2 kinase is involved, such as Parkinson's Disease and other diseases and disorders described herein. The invention is also directed to pharmaceutical compositions comprising these compounds and the use of these compounds and compositions in the prevention or treatment of such diseases in which LRRK-2 kinase is involved.

Abstract: Embodiments of a method and system for improving care determination for care providers in relation to a condition of a user associated with a mobile device can include: collecting a log of use dataset associated with user digital communication behavior at the mobile device; collecting a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device; determining a medical status analysis for a condition of the user based on at least one of the log of use dataset and the mobility supplementary dataset, the medical status analysis including at least one of a diagnosis and a therapeutic intervention associated with the condition; and promoting the at least one of the diagnosis and the therapeutic intervention to a care provider.

Abstract: A propulsion system for an aircraft having a two stage contra-rotating fan system to generate thrust. The contra-rotating fan system is surrounded by an aerodynamic duct, having the power train within the duct.

Abstract: An example of a distributed discernment system including a discernment server and a communications interface permitting bi-directional communications to and from the discernment server; and a plurality of human interface devices, each including a speaker, a microphone, a processor running a local processing program, and a system interface permitting bi-directional communications between the human interface device and the discernment server, where the diagnostic program running on the discernment server is adapted to generate interview instructions provided to the interface devices and the interface devices are adapted receive interview instructions from the discernment server, present a verbal question to a human interviewee; receive and process sensor data from the microphone to determine whether the microphone sensor data corresponds to a complete human voice response to the presented verbal question.

Abstract: A child-resistant cap for containers is provided. The child-resistant cap includes an outer cap and an inner cap. The outer cap is configured with a knurled side wall and includes a plurality of inner projections and a plurality of involute teeth projected on an inner top surface. The inner cap is configured to fit into the outer cap and includes an inner side wall which includes a plurality of ribs positioned on the outer side. The space between the adjacent ribs of the plurality of ribs includes an inclined structure and a plurality of undercuts. An outer top surface of the inner cap includes a plurality of projections with a wedge-shaped structure which is configured to mesh with the plurality of involute teeth. The wedge-shaped structure includes a chamfered edge. A bottom surface of the inner cap is configured as a tapered surface.

Abstract: A data processing method and apparatus, where one or more applications run in an operating system of a first device, there is a plurality of paths between the first device and a second device, and the paths correspond to the one or more applications. In a data receiving process, the one or more applications obtain data on the paths through a system call, and further obtain data in a plurality of packets from at least one path. In a data sending process, the one or more applications distribute data to corresponding paths through a system call.

Abstract: Sensor data of a subject is received, wherein the sensor data includes eye tracking data and visible light image data. Using one or more processors, the sensor data is automatically analyzed to determine one or more metrics. Using the one or more metrics, an indicator associated with a likelihood the subject is being deceptive is determined.

Abstract: The present invention is directed to certain 2-aminoquinzaoline derivatives of Formula (I): and pharmaceutically acceptable salts thereof, wherein R1, R3, R4, X1, and X2 are as defined herein, which are potent inhibitors of LRRK2 kinase and may be useful in the treatment or prevention of diseases in which the LRRK2 kinase is involved, such as Parkinson's Disease and other diseases and disorders described herein. The invention is also directed to pharmaceutical compositions comprising these compounds and the use of these compounds and compositions in the prevention or treatment of such diseases in which LRRK-2 kinase is involved.

Abstract: Embodiments of a method and system for improving care determination for care providers in relation to a condition of a user associated with a mobile device can include: collecting a log of use dataset associated with user digital communication behavior at the mobile device; collecting a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device; determining a medical status analysis for a condition of the user based on at least one of the log of use dataset and the mobility supplementary dataset, the medical status analysis including at least one of a diagnosis and a therapeutic intervention associated with the condition; and promoting the at least one of the diagnosis and the therapeutic intervention to a care provider.

Abstract: Systems and methods for generating code-switched semantic parsing training data and training of semantic parsers. In some examples, a processing system may be configured to use a trained first language model to translate a first single-language text sequence and first parsing data into a second code-switched text sequence and associated second parsing data, and to generate a second training example based on the second code-switched text sequence and the second parsing data. In some examples, the processing system may be further configured to generate a training set from two or more of these second training examples, and to use the training set to train a semantic parser to semantically parse code-switched utterances.

Abstract: The present disclosure relates to a system, a method and a computer-readable tangible non-transitory medium for recommending live streaming data. The method includes identifying a set of live streaming programs according to an attribute of the user and a tag of each live streaming program in the set of live streaming programs, generating a first subset of live streaming programs from the set of live streaming programs according to a first criterion, and generating a second subset of live streaming programs from the set of live streaming programs according to a second criterion. The first criterion is different from the second criterion. The present disclosure can recommend contents in a more efficient way and increase user engagements.

Abstract: Distributed tracing is applied during an upgrade from a first management appliance to a second management appliance. The distributed tracing method includes generating a parent span that encapsulates states of the overall workflow, including a span context that contains a trace identifier and a span identifier, and generating a plurality of child spans. Each child span encapsulates states that represent a piece of the workflow and contains a reference to the parent span context. The states of the child spans include an error tag that indicates whether the piece of the workflow associated with the child span executed with an error. Because child spans may be generated for a piece of the workflow that is executed by a service running in the first or second management appliance, the span context for the parent span is persisted by the first management appliance and replicated for use by the second management appliance.

Abstract: Systems and methods of the present disclosure are directed to a computing system, including one or more processors and a machine-learned multi-mode speech recognition model configured to operate in a streaming recognition mode or a contextual recognition mode. The computing system can perform operations including obtaining speech data and a ground truth label and processing the speech data using the contextual recognition mode to obtain contextual prediction data. The operations can include evaluating a difference between the contextual prediction data and the ground truth label and processing the speech data using the streaming recognition mode to obtain streaming prediction data. The operations can include evaluating a difference between the streaming prediction data and the ground truth label and the contextual and streaming prediction data. The operations can include adjusting parameters of the speech recognition model.

Abstract: A system for detecting an infectious agent. The system has a microfluidic apparatus having a first port for receiving a sample and a second port; an electrochemical sensing structure for engaging the microfluidic apparatus and in fluid communication therewith for receiving the sample therefrom; and a bio-sensing apparatus having one or more circuitries for electrically coupling to the electrochemical sensing structure for detecting the infectious agent/analytes from the samples received thereon.

Abstract: A semiconductor device includes a low power fast differential transconductor, which provides an output current as a function of a difference between a reference potential input and a feedback potential input. The transconductance increases as an absolute value of the difference between the reference potential and the feedback potential increases. The transconductor includes a reference input stage to receive the reference potential and a reference load coupled in series with the reference input stage. The transconductor includes a feedback input stage to receive the feedback potential and a feedback load coupled in series with the feedback input stage. The transconductor further includes a current limiting component that is configured to control a total current through the reference input stage and the feedback input stage.

Abstract: A method of warning of early rotation of an aircraft during takeoff is disclosed. An improvement in aircraft performance and passenger comfort can be realised by monitoring for signs of early rotation and warning the pilot of such. By detecting when rotation has been commanded by the pilot, and the aircraft nose has started to lift off the ground, when the speed of the aircraft is below a threshold, early rotation can be determined and an auditory warning can mitigate the impact of that on aircraft performance.

Abstract: An electrochemical-sensing apparatus for analyzing a sample of a user. The apparatus has a housing with a port for receiving an electrochemical-sensor structure having a counter electrode (CE), a reference electrode (RE), and at least one working electrode (WE) for contacting the sample, and an analysis circuitry for coupling to the electrodes for analyzing biomarkers in the sample, and an output for outputting an analytical result. The analysis circuitry has a circuit for generating an excitation signal and applying it to CE and RE, at least one frequency analyzer for receiving a return signal from the at least one WE for analyzing the sample, and a set of switches for short-circuiting CE and RE and for engaging at least one calibration resistor to CE/RE and the at least one frequency analyzer for directing a calibration signal to the at least one frequency analyzer component for calibration.

Abstract: A data processing method includes receiving, by an operating system of a device, a start instruction from an application in the device that includes an identifier of a socket connection, where the application is a latency-insensitive application, calling, by the operating system according to the start instruction, a monitoring system in the operating system to monitor buffering of data of the socket connection in a kernel buffer, where the data of the socket connection is from an underlying protocol stack, and generating, by the monitoring system, a data readable identifier when a time interval between a current moment and a start moment is greater than or equal to a timeout duration, where the start moment is when the operating system receives the start instruction, and the data readable identifier indicates that the data of the socket connection is readable by the application.

Abstract: Curve antialiasing based on curve-pixel intersection is leveraged in a digital medium environment. For instance, to apply antialiasing according to techniques described herein, curves of a visual object are mapped from an original pixel space to a virtual pixel space. Virtual pixels of the virtual pixel space that are intersected by the mapped curves are identified and aggregated as intersected virtual pixels. The intersected virtual pixels are then mapped back into the original pixel space to identify which intersected virtual pixels positionally coincide with respective original pixels of the original pixel space. Intersected virtual pixels are mapped to original pixels to generate pixel coverage for original pixels. The generated pixel coverage values for original pixels are applied to render antialiased curves as part of an antialiased version of the original visual object.

Abstract: A computer-implemented method includes receiving a sequence of acoustic frames as input to an automatic speech recognition (ASR) model. Here, the ASR model includes a causal encoder and a decoder. The method also includes generating, by the causal encoder, a first higher order feature representation for a corresponding acoustic frame in the sequence of acoustic frames. The method also includes generating, by the decoder, a first probability distribution over possible speech recognition hypotheses. Here, the causal encoder includes a stack of causal encoder layers each including a Recurrent Neural Network (RNN) Attention-Performer module that applies linear attention.