Abstract: The present disclosure provides to graphical user interfaces for controlling a flow therapy apparatus. The graphical user interface can provide a display of flow therapy treatment information and indicators of a patient's health. The graphical user interface can be configured to display the information associated with the patient on one or more user interface screens.

Abstract: A system for refilling a dispenser includes a refill assembly having refill base, a refill stick receptacle and a refill cover, and a dispenser having a dispenser stick receptacle a stick receptacle carrier and a propel-repel mechanism for longitudinally advancing and retracting the stick receptacle carrier within the dispenser. The dispenser stick receptacle is configured to be replaced by the refill stick receptacle by (1) removing the refill base from the refill cover with the refill stick receptacle engaged with the refill cover; (2) engaging the refill base with the dispenser stick receptacle and then removing the dispenser stick receptacle from the stick receptacle carrier by pulling the refill base away from the stick receptacle carrier; (3) engaging the refill cover with the refill stick receptacle engaged therewith with the stick receptacle carrier; and (4) removing the refill cover by pulling the refill cover away from the stick receptacle carrier.

Abstract: Processing of medical diagnostic information returns comprises receiving a text block containing medical diagnostic information and returning corresponding tracking codes. Diagnostic terms may be identified within a text block containing medical diagnostic information, and the diagnostic terms may be mapped to corresponding respective tracking codes. At least one trained machine learning model, such as a large language model and/or a classifier, may be used to identify the tracking codes that correspond to the diagnostic terms.

Abstract: The present disclosure provides thiolases and polypeptide variants of 3-hydroxybutyryl-CoA dehydrogenase, nucleic acids encoding the same, vectors comprising the nucleic acids, and cells comprising the polypeptide variants and/or thiolase, the nucleic acids, and/or the vectors. The present disclosure also provides methods of making and using the same, including methods for culturing cells, and for the production of various products, including 3-hydroxybutyryl-CoA (3-HB-CoA), 3-hydroxybutyraldehyde (3-HBal), 3-hydroxybutyrate (3-HB), 1,3-butanediol (1,3-BDO), and esters and amides thereof, and products made from any of these.

Abstract: An image sensor comprises a plurality of pixels. Pixels are capable of detecting a change in an amount of light intensity and pixels are capable of detecting an amount of light intensity. In a first mode the sensor outputs data from the first one or more of the pixels. In a second mode the sensor outputs data from the second one or more of the pixels. The first mode may be a lower power operation mode and the second mode may be a higher power operation mode. At least one of the first mode and the second mode is selected by a processor based on at least one of a result of processing data output in the first mode and a result of processing data output in the second mode.

Abstract: An image sensor, electronic device and method thereof that performs on-sensor multiresolution deep neural network (DNN) processing, such as for gesture recognition. The image data is transformed into first resolution type image data and second resolution type image data. Based on detecting the first resolution type image data includes a predetermined object, processing the second resolution type image data using the second resolution type image data as input into the second DNN.

Abstract: An imaging device with a plurality of image sensing pixels and a plurality of event detection pixels is provided. The image sensing and event detection pixels can be provided as part of different arrays of pixels, or can be included within a common array of pixels. The event detection pixels are operated continuously to provide signals indicating the occurrence of events. In response to detecting an event, image sensing pixels are selectively operated. The selective operation of the image sensing pixels can include activation of image sensing pixels within one or more regions of interest, while image sensing pixels not included in any region of interest remain off. The selective operation of the image sensing pixels can include the selection of a frame rate applied across an array of mage sensing pixels, or within determined regions of interest.

Abstract: An image sensor, electronic device and method thereof that performs on-sensor single object class detection using an on-sensor single object class detection deep neural network (DNN), such as a face detection DNN. The single object class detection DNN includes a pixel array layer configured to capture an image and transfer image data of the captured image, and a logic and single object class detection deep neural network (DNN) layer that receives the image data directly from the pixel array layer and outputs the image data with the single object class detection data to a communication bus of an electronic device.

Abstract: Time-of-Flight (ToF) sensors, methods, and non-transitory computer-readable media. In one example of the present disclosure, a ToF sensor includes an array of pixels and processing circuitry. The processing circuitry configured to generate a plurality of ToF exposure control signals that control at least one pixel of the array of pixels to generate a plurality of ToF pixel signals, generate a plurality of error correcting code (ECC) exposure control signals that control the at least one pixel to generate a plurality of ECC pixel signals, and determine a distance from an object based on the plurality of ToF pixel signals and the plurality of ECC pixel signals by determining a region code from the plurality of ToF pixel signals and the plurality of ECC pixel signals, and calculating the distance based on the plurality of ToF pixel signals, the plurality of ECC pixel signals, and information from the region code.

Abstract: A system for refilling a dispenser includes a refill assembly having refill base, a refill stick receptacle and a refill cover, and a dispenser having a dispenser stick receptacle a stick receptacle carrier and a propel-repel mechanism for longitudinally advancing and retracting the stick receptacle carrier within the dispenser. The dispenser stick receptacle is configured to be replaced by the refill stick receptacle by (1) removing the refill base from the refill cover with the refill stick receptacle engaged with the refill cover; (2) engaging the refill base with the dispenser stick receptacle and then removing the dispenser stick receptacle from the stick receptacle carrier by pulling the refill base away from the stick receptacle carrier; (3) engaging the refill cover with the refill stick receptacle engaged therewith with the stick receptacle carrier; and (4) removing the refill cover by pulling the refill cover away from the stick receptacle carrier.

Abstract: Time-of-Flight (ToF) sensors, methods, and non-transitory computer-readable media. In one example of the present disclosure, a ToF sensor includes an array of pixels and processing circuitry. At least one pixel of the array of pixels is configured to generate a depth signal. The processing circuitry is configured to determine a phase value from the depth signal and perform phase filtering on the phase value.

Abstract: An image sensor, electronic device and method thereof that performs on-sensor multiresolution deep neural network (DNN) processing, such as for gesture recognition. The image data is transformed into first resolution type image data and second resolution type image data. Based on detecting the first resolution type image data includes a predetermined object, processing the second resolution type image data using the second resolution type image data as input into the second DNN.

Abstract: An imaging device with a plurality of image sensing pixels and a plurality of event detection pixels is provided. The image sensing and event detection pixels can be provided as part of different arrays of pixels, or can be included within a common array of pixels. The event detection pixels are operated continuously to provide signals indicating the occurrence of events. In response to detecting an event, image sensing pixels are selectively operated. The selective operation of the image sensing pixels can include activation of image sensing pixels within one or more regions of interest, while image sensing pixels not included in any region of interest remain off. The selective operation of the image sensing pixels can include the selection of a frame rate applied across an array of mage sensing pixels, or within determined regions of interest.

Abstract: A sensor system with a plurality of sensors or sensor functions is provided. The sensors can include an event detection sensor, a time of flight sensor, and imaging sensor. The different sensors can be implemented on the same or different substrates. Accordingly, sensors with pixels having different or shared functions can be included in the sensor system. In operation, an event detection signal from an event detection sensor causes the operation of a time of flight sensor to be initiated. In response to the detection of an object within a critical range by the time of flight sensor, the imaging sensor is activated. The image sensing and event detection pixels can be provided as part of different arrays of pixels, or can be included within a common array of pixels.

Abstract: An image sensor comprises a plurality of pixels. Pixels are capable of detecting a change in an amount of light intensity and pixels are capable of detecting an amount of light intensity. In a first mode the sensor outputs data from the first one or more of the pixels. In a second mode the sensor outputs data from the second one or more of the pixels. The first mode may be a lower power operation mode and the second mode may be a higher power operation mode. At least one of the first mode and the second mode is selected by a processor based on at least one of a result of processing data output in the first mode and a result of processing data output in the second mode.

Abstract: An image sensor comprises a plurality of pixels. Pixels are capable of detecting a change in an amount of light intensity and pixels are capable of detecting an amount of light intensity. In a first mode the sensor outputs data from the first one or more of the pixels. In a second mode the sensor outputs data from the second one or more of the pixels. At least one of the first mode and the second mode is selected by a processor based on at least one of a result of processing data output in the first mode and a result of processing data output in the second mode.

Abstract: An image sensor, electronic device and method thereof that performs on-sensor single object class detection using an on-sensor single object class detection deep neural network (DNN), such as a face detection DNN. The single object class detection DNN includes a pixel array layer configured to capture an image and transfer image data of the captured image, and a logic and single object class detection deep neural network (DNN) layer that receives the image data directly from the pixel array layer and outputs the image data with the single object class detection data to a communication bus of an electronic device.

Abstract: A method for designing a system on a target device includes identifying portions in the system to preserve based on comparing structural characteristics of the system with another system. Design results from the another system are reused for portions in the system that are preserved.