Abstract: Novel compounds of the structural formula (I), and the pharmaceutically acceptable salts thereof, are inhibitors of Nav1.8 channel activity and may be useful in the treatment, prevention, management, amelioration, control and suppression of diseases mediated by Nav1.8 channel activity. The compounds of the present invention may be useful in the treatment, prevention or management of pain disorders, cough disorders, acute itch disorders, and chronic itch disorders.

Abstract: A system and method for monitoring conditions in a crawl space is provided. The system generally comprises at least one sensor, computing device, data aggregator operably connected to the at least one sensor, processor operably connected to the computing device, power supply, and non-transitory computer-readable medium coupled to the processor and having instructions stored thereon. The system is designed to collect condition data via the at least one sensor and determine whether the conditions within the crawl space could have a detrimental impact on the building. In particular, the system is designed to monitor settling of a building over time and alert a user if the settling exceeds a predefined threshold.

Abstract: A system and method for monitoring conditions in a crawl space is provided. The system generally comprises at least one sensor, computing device, data aggregator operably connected to the at least one sensor, processor operably connected to the computing device, power supply, and non-transitory computer-readable medium coupled to the processor and having instructions stored thereon. The system is designed to collect condition data via the at least one sensor and determine whether the conditions within the crawl space could have a detrimental impact on the building. In particular, the system is designed to alert a third-party when a condition might cause damage to a building so that the third-party might correct the cause of the condition.

Abstract: One or more embodiments of the present disclosure relate to monitoring execution of runnables that may be executed by a computing system, the executing begin based at least on a schedule. The monitoring may include one or more of: monitoring timing of execution of the runnables, monitoring one or more sequences of execution of the runnables, or monitoring health of at least a portion of the computing system executing the runnables. Additionally or alternatively, one or more embodiments may relate to determining compliance with respect to one or more execution constraints based at least in part on the monitoring.

Abstract: One or more embodiments of the present disclosure relate to executing, by a plurality of compute engines, a plurality of runnables of a computing application based at least on an execution schedule and a set of commands associated with the execution schedule. The execution schedule may be generated using a compiling system to include the set of commands. The set of commands may include one or more individual commands corresponding to one or more timing fences dictating a timing and order of execution of one or more individual runnables of the plurality of runnables.

Abstract: A circuit interrupter movable among ON, OFF, and TRIP positions includes a housing, a latch situated on the housing, a number of mechanisms situated on the housing, each mechanism of the number of mechanisms including a contact arm that is movable with respect to the housing, a set of separable contacts including a stationary contact and further including a movable contact situated on the contact arm, a handle, a pin, a first spring that extends between the contact arm and the handle in at least one of the OFF position and the ON position, a second spring that extends between the handle and the pin, and the pin being movable among a position engaged with the latch in at least one of the ON position and the OFF position and another position engaged with the handle in the TRIP position.

Abstract: A system and method for monitoring conditions in a crawl space is provided. The system generally comprises at least one sensor, computing device, data aggregator operably connected to the at least one sensor, processor operably connected to the computing device, power supply, and non-transitory computer-readable medium coupled to the processor and having instructions stored thereon. The system is designed to collect condition data via the at least one sensor and determine whether the conditions within the crawl space could have a detrimental impact on the building. In particular, the system is designed to monitor settling of a building over time and alert a user if the settling exceeds a predefined threshold.

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 system and method for an on-demand shuttle, bus, or taxi service able to operate on private and public roads provides situational awareness and confidence displays. The shuttle may include ISO 26262 Level 4 or Level 5 functionality and can vary the route dynamically on-demand, and/or follow a predefined route or virtual rail. The shuttle is able to stop at any predetermined station along the route. The system allows passengers to request rides and interact with the system via a variety of interfaces, including without limitation a mobile device, desktop computer, or kiosks. Each shuttle preferably includes an in-vehicle controller, which preferably is an AI Supercomputer designed and optimized for autonomous vehicle functionality, with computer vision, deep learning, and real time ray tracing accelerators. An AI Dispatcher performs AI simulations to optimize system performance according to operator-specified system parameters.

Abstract: Described are reminiscence therapy and media sharing platform, methods, and systems for a patient user which provide an immediate and First Mobile Application positive impact on emotional functioning inpatients with dementia, major neurocognitive disorders, social isolation, traumatic brain injury (TBI), and psychiatric conditions such as posttraumatic stress disorder, by reducing anxiety, depression, and overall emotional distress.

Abstract: Embodiments include a system, method, and computer program product that authenticates a caller using calling party information. In an embodiment, an authentication device receives the call request and associated calling party information that includes a calling party number. The authentication device retrieves parameters associated with the calling party number, where a retrieved parameter is a number of accounts linked to the calling party number. The authentication device determines whether the number of accounts is between one and a threshold value, inclusive, and verifies that the call request originates from a location or a device associated with the calling party number. Based on the verifying and determining, the authentication device generates an authentication result that indicates whether the calling party number is authenticated.

Abstract: A cleaner head including suction chamber having a suction opening; an agitator including a hollow body and supported the suction chamber by a support member, the support member having a first end that is fixed to a side wall of the suction chamber,and second end that free and over which the hollow body of the agitator can be slideably received; and a drive assembly forming part of the support member, and arranged to rotate the agitator about an axis. The fixed end of the support member is pivotal fixed to the side all of the suctionchamber such that the free end of the support member, together with the agitator supported thereon, can be pivoted to protrude out frome suction opening, to allow the agitator o be removed and replaced.

Abstract: An operational condition of a liquid chromatography (LC) system (2110) is detected and displayed without user intervention. A plurality of pressure measurements over time are received from a pressure sensor (2119) of the LC system. A processor (2140) calculates values from the measurements for six parameters including a beginning pressure (PB), an ending pressure (PE), an average pressure (T1) for a first half of the separation, an average pressure (T2) for a second half of the separation, a ratio T1/PB, and a ratio T2/PB. The values of the six parameters are classified as one of one or more operational conditions of the LC system using a machine learning model. The machine learning model is created from values of the six parameters calculated from known separations for each of the one or more operational conditions. The operational condition found from the classification is displayed on a display device (2141).

Abstract: A system and method for an on-demand shuttle, bus, or taxi service able to operate on private and public roads provides situational awareness and confidence displays. The shuttle may include ISO 26262 Level 4 or Level 5 functionality and can vary the route dynamically on-demand, and/or follow a predefined route or virtual rail. The shuttle is able to stop at any predetermined station along the route. The system allows passengers to request rides and interact with the system via a variety of interfaces, including without limitation a mobile device, desktop computer, or kiosks. Each shuttle preferably includes an in-vehicle controller, which preferably is an AI Supercomputer designed and optimized for autonomous vehicle functionality, with computer vision, deep learning, and real time ray tracing accelerators. An AI Dispatcher performs AI simulations to optimize system performance according to operator-specified system parameters.

Abstract: In various examples, systems and methods are disclosed that perform sensor fusion using rule-based and learned processing methods to take advantage of the accuracy of learned approaches and the decomposition benefits of rule-based approaches for satisfying higher levels of safety requirements. For example, in-parallel and/or in-serial combinations of early rule-based sensor fusion, late rule-based sensor fusion, early learned sensor fusion, or late learned sensor fusion may be used to solve various safety goals associated with various required safety levels at a high level of accuracy and precision. In embodiments, learned sensor fusion may be used to make more conservative decisions than the rule-based sensor fusion (as determined using, e.g., severity (S), exposure (E), and controllability (C) (SEC) associated with a current safety goal), but the rule-based sensor fusion may be relied upon where the learned sensor fusion decision may be less conservative than the corresponding rule-based sensor fusion.

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: The resolution of a TOF mass analyzer is maintained despite a loss of resolution in one or more channels of a multichannel ion detection system by selecting the highest resolution channels for qualitative analysis. Ion packets that impact a multichannel detector are converted into multiplied electrons and emitted from two or more segmented electrodes that correspond to impacts in different regions across a length of the detector. The electrons received by each electrode of the two or more segmented electrodes for each ion packet are converted into digital values in a channel of a multichannel digitizer, producing digital values for at least two or more channels Qualitative information about the ion packets is calculated using digital values of a predetermined subset of one or more channels of the at least two or more channels known to provide the highest resolution.