Abstract: A showerhead including a handle supporting a water passageway and a sprayface, and a water diverter device. The water diverter device includes a pivotable waterway including a diverter body having an inlet and an outlet. The diverter body is pivotable such that the outlet is movable along an arcuate path. A driving mechanism is operably coupled to the water diverter device and includes a user interface, wherein axial movement of the user interface causes pivoting movement of the diverter body.

Abstract: The present disclosure relates to a method for calculating the calibration sensitivity of a sensor for insertion into the body and, more particularly, to a method for calculating calibration sensitivity, wherein a biometric value of a user can be accurately calibrated by overcoming an error in a biometric value measured through a sensor for insertion into the body, or an error in a reference biometric value measured through a biometric information measurement device, by storing past sensitivities and using at least one of the past sensitivities and a currently calculated sensitivity to calculate a calibration sensitivity of the sensor for insertion into the body, and the calibration sensitivity of the sensor for insertion into the body can be accurately calculated, even if there is an error in the reference biometric value or the reference biometric value temporarily deviates from the range of normal biometric values of the user, by determining whether the reference biometric value used to calculate the calib

Abstract: The described aspects and implementations enable vehicle light classification in autonomous vehicle (AV) applications. In one implementation, disclosed is a method and a system to perform the method that includes, obtaining, by a processing device, first image data characterizing a driving environment of an autonomous vehicle (AV). The processing device may identify, based on the image data, a vehicle within the driving environment. The processing device may process the image data using one or more trained machine-learning models (MLMs) to determine a state of one or more lights of the vehicle and cause an update to a driving path of the AV based on the determined state of the lights.

Abstract: According to a present invention embodiment, a trace collected during flow of instructions through an execution pipeline of one or more processors is received. The trace includes contents of registers and memory. One or more memory locations to be reset are determined from the trace based on performance of the instructions indicated within the trace. The test case is generated including indications of the one or more memory locations to be reset and corresponding contents for resetting the one or more memory locations. The test case is executed on one or more platforms a plurality of times to determine a performance measurement. The one or more memory locations are reset with the corresponding contents between executions of the test case on the one or more platforms.

Abstract: A faucet mounting system including a mounting shank including external threads and configured to be coupled to a mounting deck. A securement device is operably coupled to the mounting shank and includes internal threads. The internal threads of the securement device are engaged with the external threads of the mounting shank in a first mode. The internal threads of the securement device are disengaged from the external threads of the mounting shank in a second mode.

Abstract: Provided herein is a process for the production and purification of acetic acid. In particular, this disclosure relates to improved processes for producing and purifying acetic acid by the carbonylation of methanol in the presence of a Group VIII metal carbonylation catalyst. The acetic acid production and purification process described herein controls the formation and mass composition of acetal impurities, such as 1,1-dimethoxyethane.

Abstract: Systems and methods for determining a passenger pick-up/drop-off (PUDO) state of a mass transit vehicle by an autonomous vehicle (AV) are disclosed. A system includes a memory one or more processing devices, coupled to the memory, configured to perform operations that include identifying a mass transit vehicle in an environment of an AV, responsive to determining the mass transit vehicle is in a PUDO state, providing movement instructions to a planning system of the AV, and autonomously modifying operation of the AV based on the movement instructions.

Abstract: A process for producing acetic acid is provided that is capable of lowering acetaldehyde mass composition in acetic acid. The process for producing acetic acid according to the present invention comprises at least one distillation step that satisfies the following operating conditions (i) temperature in a lower portion of the distillation column is not less than 40° C.; (ii) water mass composition in the lower stream is not less than 0.3 wt. %; or (iii) acetic acid mass composition in the lower stream on weight percentage basis is greater than the acetic acid mass composition in the first mixture; wherein the methanol mass composition in the first mixture is less than or equal to 2 wt. %.

Abstract: A shower assembly includes a base showerhead including a plurality of outlets and defining a longitudinal axis. Each of the outlets ejects a liquid in a respective direction at a respective angle relative to the longitudinal axis. A handheld shower is removably coupled to the base showerhead. When the handheld shower is removed from the base showerhead, the outlets of the base showerhead pivot.

Abstract: A faucet assembly is mounted to a mounting deck that has a passageway extending from a first surface of the mounting deck to a second surface of the mounting deck. The faucet assembly includes a spout that emits a fluid therefrom. A base is installed on the first surface of the mounting deck and between the spout and the mounting deck. The base has a size and shape such that the base cannot pass through the passageway of the mounting deck when installed on the first surface. A mounting shank is connected to the base and is inserted in the passageway. The mounting shank having a circular outer surface having external threads thereon. A nut includes a pipe section having an inner wall with internal threads. The inner wall defines a channel that is sized to receive the mounting shank such that the internal threads of the inner wall mesh with the external threads of the mounting shank. A cantilevered arm extends from an outer wall of the pipe section. The cantilevered arm includes a threaded through-hole.

Abstract: An embodiment may provide a blood glucose measurement method using a learning model, the method including obtaining a biosignal, generating biometric data from the biosignal, training a learning model with training biometric data, so as to output a blood glucose value, obtaining a blood glucose value corresponding to the biometric data from the biometric data via the learning model when training is completed, and providing, to a user, the blood glucose value corresponding to the biometric data.

Abstract: The present disclosure relates to a method for calculating the calibration sensitivity of a sensor for insertion into the body and, more particularly, to a method for calculating calibration sensitivity, wherein a biometric value of a user can be accurately calibrated by overcoming an error in a biometric value measured through a sensor for insertion into the body, or an error in a reference biometric value measured through a biometric information measurement device, by storing past sensitivities and using at least one of the past sensitivities and a currently calculated sensitivity to calculate a calibration sensitivity of the sensor for insertion into the body, and the calibration sensitivity of the sensor for insertion into the body can be accurately calculated, even if there is an error in the reference biometric value or the reference biometric value temporarily deviates from the range of normal biometric values of the user, by determining whether the reference biometric value used to calculate the calib

Abstract: A valve body extension including an in-wall rough assembly fluidly coupled to an extension valve assembly. The in-wall rough assembly includes a rough valve body receiving an adapter. The extension valve assembly includes an extension valve body receiving a valve cartridge. A diverter valve assembly may be fluidly coupled to the extension valve assembly.

Abstract: An adjustable hair clipper blade assembly is provided for attachment to hair clippers. The adjustable hair clipper blade assembly includes a stationary blade assembly and a guard attachment. The stationary blade assembly includes a stationary blade having a lever mounted on the front of the stationary blade for interfacing with the rear side of a guard attachment that is moveably secured against the stationary blade. The lever moves the guard attachment in a first direction when the lever is moved in a first direction and moves the guard attachment in a second direction with the lever is moved in a second direction.

Abstract: A showerhead including a handle supporting a water passageway and a sprayface, and a water diverter device. The water diverter device includes a pivotable waterway including a diverter body having an inlet and an outlet. The diverter body is pivotable such that the outlet is movable along an arcuate path. A driving mechanism is operably coupled to the water diverter device and includes a user interface, wherein axial movement of the user interface causes pivoting movement of the diverter body.

Abstract: The described aspects and implementations enable vehicle light classification in autonomous vehicle (AV) applications. In one implementation, disclosed is a method and a system to perform the method that includes, obtaining, by a processing device, first image data characterizing a driving environment of an autonomous vehicle (AV). The processing device may identify, based on the image data, a vehicle within the driving environment. The processing device may process the image data using one or more trained machine-learning models (MLMs) to determine a state of one or more lights of the vehicle and cause an update to a driving path of the AV based on the determined state of the lights.

Abstract: In an aspect, a pressure sensor for determining pressure in an environment comprises: a source for emitting a coherent reference light characterized by a reference light frequency; a first lock-in mechanism configured to send an electrical signal to the source based on a reference resonance frequency; a reference cavity; wherein the reference cavity is characterized by the reference resonance frequency; a modulator configured a reference light to generate at least a first sideband frequency such that an output of said modulator is a measurement light characterized by at least the first sideband frequency; a frequency synthesizer configured to drive the modulator; a second lock-in mechanism configured to send an electrical signal to the frequency synthesizer based on a measurement resonance frequency; and a measurement cavity configured to receive at least a portion of the measurement light; wherein the measurement cavity is characterized by the measurement resonance frequency; and wherein the pressure of the

Abstract: A rotary grater includes a grater body with a body arm portion; a rotatable cutting device; a grater plunger with a plunger arm portion connected to a plunger head portion; and a lever member pivotably coupled to the body arm portion, the lever member having a first lever end portion and a second lever end portion, the second lever end portion of the lever member being oppositely disposed relative to the first lever end portion, the first lever end portion of the lever member configured to receive an input force applied by a user, and the second lever end portion of the lever member configured to apply an output force against the plunger arm portion so as to facilitate a compressing of the workpiece between the plunger head portion and the rotatable cutting device while grating the workpiece.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for open vehicle doors prediction using a neural network model. One of the methods includes: obtaining sensor data (i) that includes a portion of a point cloud generated by a laser sensor of an autonomous vehicle and (ii) that characterizes a vehicle that is in a vicinity of the autonomous vehicle in an environment; and processing the sensor data using an open door prediction neural network to generate an open door prediction that predicts a likelihood score that the vehicle has an open door.