Abstract: Pressure sensor modules adapted for use with a dental appliance may include one or more pressure sensors encapsulated within a sealed cavity in which one or more walls of the sealed cavity are deformable so as to transduce pressure from outside of the cavity, due to deformation or movement of the dental appliance and/or the environment around the dental appliance, including the environment within a patient's mouth when wearing the dental appliance. Also described herein are method of making and using these apparatuses to identify and/or monitor the dental appliance, a patient condition and/or an orthodontic treatment. Also described herein are methods and apparatuses for identifying and/or characterizing sleep apnea using these pressure sensor modules.

Abstract: A sensor assembly includes a sensor and an adapter connected to the sensor. The sensor includes a housing having a port and a cavity, a diaphragm disposed in the port and enclosing the cavity, and a die disposed in the cavity. The diaphragm extends in a first plane. The adapter has a base section connected to the housing and an end section extending from the base section. The end section has a mating face that extends in a second plane perpendicular to the first plane. The adapter has an adapter passageway extending through the adapter that connects the mating face to the port of the housing.

Abstract: Implementations set forth herein relate to an automated assistant and/or other application that can adapt settings of a foldable display interface of a computing device according to user interactions occurring during a multilingual conversation. During the multilingual conversation between at least two users, translated content of the conversation can be rendered at a portion of the display interface according to which user is actively speaking. When a user is actively speaking, a brightness level of a portion of the display interface that is facing another user in the conversation can be modified to emphasize that the user is speaking and that the translated content is being rendered. When the user who is speaking is also the owner of the computing device, a portion of the display interface that is facing the other user can exhibit a limited responsiveness to touch inputs.

Abstract: A sensor includes a housing having a body, a plurality of ports, and a plurality of cavities. The ports include a first port and a second port, and the cavities include a first cavity disposed in the first port and a second cavity disposed in the second port. The sensor includes a first diaphragm disposed in the first port and enclosing the first cavity and a second diaphragm disposed in the second port and enclosing the second cavity. The first diaphragm and the second diaphragm are coplanar with one another in a first plane. The sensor includes a die disposed in the first cavity and having a membrane that is deflectable according to a differential pressure between a first pressure in the first cavity and a second pressure in the second cavity. The die is attached to the housing along a second plane parallel to the first plane.

Abstract: For etching tools, a neural network model is trained to predict optimum scheduling parameter values. The model is trained using data collected from preventive maintenance operations, recipe times, and wafer-less auto clean times as inputs. The model is used to capture underlying relationships between scheduling parameter values and various wafer processing scenarios to make predictions. Additionally, in tools used for multiple parallel material deposition processes, a nested neural network based model is trained using machine learning. The model is initially designed and trained offline using simulated data and then trained online using real tool data for predicting wafer routing path and scheduling. The model improves accuracy of scheduler pacing and achieves highest tool/fleet utilization, shortest wait times, and fastest throughput.

Abstract: A sensing device includes a body having a first chamber, a second chamber, and a liquid path which are filled with a liquid, the liquid path communicates with the second chamber, a pressure difference detection chip installed in the first chamber, and a pressure detection chip installed in the first chamber. The pressure difference detection chip seals an opening of the liquid path disposed on a bottom surface of the first chamber. The pressure difference detection chip detects a liquid pressure difference between the first chamber and the second chamber. The pressure detection chip detects a liquid pressure in the first chamber.

Abstract: A data collection system for semiconductor manufacturing includes: T substrate processing tools, where each of the T substrate processing tools includes: N processing chambers, where each of the N processing chambers includes a processing chamber controller configured to receive a plurality of different types of data during operating of the corresponding one of the N processing chambers, where the plurality of different types of data have different formats, where the processing chamber controller is further configured to format the plurality of different types of data into formatted data, and where T and N are integers; and a data diagnostic services computer configured to: receive and store the formatted data as categories in a common file having a table-like data structure including rows with contextual data; and in response to a request, generate an output file including a subset of the data from the common file.

Abstract: For etching tools, a neural network model is trained to predict optimum scheduling parameter values. The model is trained using data collected from preventive maintenance operations, recipe times, and wafer-less auto clean times as inputs. The model is used to capture underlying relationships between scheduling parameter values and various wafer processing scenarios to make predictions. Additionally, in tools used for multiple parallel material deposition processes, a nested neural network based model is trained using machine learning. The model is initially designed and trained offline using simulated data and then trained online using real tool data for predicting wafer routing path and scheduling. The model improves accuracy of scheduler pacing and achieves highest tool/fleet utilization, shortest wait times, and fastest throughput.

Abstract: A compressible element for a sensor assembly includes an elastomer matrix having a first compressibility and a plurality of closed areas distributed within the elastomer matrix and each surrounded by the elastomer matrix. Each of the closed areas has a second compressibility greater than the first compressibility.

Abstract: A compressible element for a sensor assembly includes an elastomer matrix having a first compressibility and a plurality of closed areas distributed within the elastomer matrix and each surrounded by the elastomer matrix. Each of the closed areas has a second compressibility greater than the first compressibility.

Abstract: The present application provides a sensor, relates to sensing technology field, the sensor includes a sensor body, a main circuit module disposed in the sensor body and an sensing assembly electrically connect to the main circuit module, and further includes a circuit protection module disposed at outside of the sensor body and electrically connected to the main circuit module. In the present application, the main circuit module and the sensing assembly are used as the core components to achieve the functions of sensing and information conversion of the sensor; the circuit protection module is disposed outside the sensor body to realize the circuit protection function of the sensor.

Abstract: A system includes an interface and a controller. The interface is configured to receive a state of a substrate processing tool comprising a plurality of process modules configured to process a substrate. The controller is configured to correlate the state with an input previously received by the substrate processing tool from the interface based on the state and to generate an output to control the substrate processing tool based on the correlation.

Abstract: The present application provides a sensor, relates to sensing technology field, the sensor includes a sensor body, a main circuit module disposed in the sensor body and an sensing assembly electrically connect to the main circuit module, and further includes a circuit protection module disposed at outside of the sensor body and electrically connected to the main circuit module. In the present application, the main circuit module and the sensing assembly are used as the core components to achieve the functions of sensing and information conversion of the sensor; the circuit protection module is disposed outside the sensor body to realize the circuit protection function of the sensor.

Abstract: One embodiment provides a compound of Formula I that activates autophagy, a pharmaceutical composition and use thereof:

Abstract: A surveillance camera system having a specialized camera assembly with a fixed-angle lens is provided in a housing designed to reduce the size and weight of the camera assembly and reduce the identifiability of the system as a surveillance camera. The camera assembly can include an integrated ball joint assembly to support the camera assembly at arbitrary angles. The ball joint can further provide a standard threaded mating component to secure the camera assembly. The surveillance camera system can employ a recessed housing partially shrouding the camera assembly in a ceiling installation and further reducing the observability of the camera assembly without obstructing the camera lens. Installed in the recessed housing with an integrated ball joint, the camera assembly retains pan and tilt adjustments common to current recessed dome surveillance cameras. The camera assembly supports attachment of a customizable front cover further obscuring the camera assembly.

Abstract: Systems and methods for improving automatic selection of keeper images from a commonly captured set of images are described. A combination of image type identification and image quality metrics may be used to identify one or more images in the set as keeper images. Image type identification may be used to categorize the captured images into, for example, three or more categories. The categories may include portrait, action, or “other.” Depending on the category identified, the images may be analyzed differently to identify keeper images. For portrait images, an operation may be used to identify the best set of faces. For action images, the set may be divided into sections such that keeper images selected from each section tell the story of the action. For the “other” category, the images may be analyzed such that those having higher quality metrics for an identified region of interest are selected.

Abstract: One embodiment provides a compound of Formula I that activates autophagy, a pharmaceutical composition and use thereof:

Abstract: A system includes an interface and a controller. The interface is configured to receive a state a substrate processing tool comprising a plurality of process modules configured to process a substrate. The controller is configured to correlate the state with an input previously received by the substrate processing tool from the interface based on the state and to generate an output to control the substrate processing tool based on the correlation.