Abstract: Embodiments of the disclosure are in the field of advanced integrated circuit structure fabrication and, in particular, 10 nanometer node and smaller integrated circuit structure fabrication and the resulting structures. In an example, an integrated circuit structure includes a fin. An insulating structure is directly adjacent sidewalls of the lower fin portion of the fin. A first gate electrode is over the upper fin portion and over a first portion of the insulating structure. A second gate electrode is over the upper fin portion and over a second portion of the insulating structure. A first dielectric spacer is along a sidewall of the first gate electrode. A second dielectric spacer is along a sidewall of the second gate electrode, the second dielectric spacer continuous with the first dielectric spacer over a third portion of the insulating structure between the first gate electrode and the second gate electrode.

Abstract: A client device operates by: reading an optical code associated with a coupon; sending, in response to reading the optical code, a request to download a coupon NFT associated with the coupon from an NFT distribution platform; downloading from the NFT distribution platform, via the client device, the coupon NFT associated with the coupon; and storing the coupon NFT in a wallet associated with a user of the client device.

Abstract: Cooling jacket devices of ingot puller apparatus used to prepare silicon ingots by the Czochralski method are disclosed. The cooling jacket device may include an inner shell that forms an inner chamber through which the ingot is pulled. The cooling jacket includes an outer shell. A plurality of tubes are disposed between the inner shell and outer shell. Each tube forms a cooling fluid passageway through which cooling fluid passes.

Abstract: A method and apparatus for implementing a method are disclosed. The method includes providing point cloud data to a machine learning algorithm, the point cloud data detected in the vicinity of an autonomous vehicle. The method further includes differentiating, via the machine learning algorithm, in the point cloud, data directly representing a location of a first object and data indirectly representing a location of a second object. The method includes transforming the data indirectly representing the location of the second object into data directly representing the location of the second object and generating corrected point cloud data based on the data directly representing the location of the first object and the data directly representing the location of the second object. The method includes outputting the corrected point cloud data to the autonomous vehicle.

Abstract: Methods and systems for compressing shape data for a set of electronic designs include inputting a set of shape data, where the shape data comprises mask designs. A convolutional autoencoder encodes the set of shape data, where the encoding compresses the set of shape data to produce a set of encoded shape data. The convolutional autoencoder is tuned for increased accuracy of the set of encoded shape data based on design rules for the set of electronic designs. The convolutional autoencoder comprises a set of parameters comprising weights, and the convolutional autoencoder has been trained to retain important information needed, based on the design rules for the set of electronic designs.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for robot navigation. One of the methods includes obtaining one or more images of an area from a robot; detecting two or more lines within the one or more images; identifying at least two of the two or more lines as vanishing lines; determining, using the vanishing lines, a correction maneuver; and controlling the robot to implement the correction maneuver.

Abstract: A method of priming an interventional device assembly includes providing the interventional device assembly, the interventional device assembly including a first interventional device and a second interventional device, the second interventional device being positioned within the first interventional device. The method further includes reciprocally moving at least one of the first interventional device and the second interventional device relative to the other of the first interventional device and the second interventional device while flushing a lumen between the first interventional device and the second interventional device with fluid to remove microbubbles from the lumen.

Abstract: Techniques include transferring control of a device from a provider entity to a user and transferring control of the device from the user to the provider entity.

Abstract: A system comprising a patient support surface including a core, a ticking covering the core, a RF welding equipment, and a die are used to emboss a layer of an embossing substrate to a surface of the ticking to form a 3-dimensional structure determined by the die. The ticking has a first surface that faces away from the core and a second surface that faces towards the core, and the 3-dimensional structure is formed on the second surface.

Abstract: An extensometer structure comprising a first extension arm having a first mount configured to support a first specimen engaging member and a second extension arm having a second mount configured to support a second specimen engaging member. A cross-flexure assembly is formed between the first extension arm and the second extension arm remote from the first mount and the second mount. The cross-flexure assembly may include a first flexure and a second flexure each joined to and extending between the first extension arm and the second extension arm. The second flexure is orthogonal to the first flexure to form a pivot axis, the second flexure extending only on one lateral side of the first flexure from the first extension arm to the second extension arm and the first flexure extending only on one lateral side of the second flexure from the first extension arm to the second extension arm.

Abstract: A method of database recovery includes starting a first database server, starting a second database server, starting a third database server, and starting an application server after starting the first database server, the second database server, and the third. The first, second, and third database servers are configured to store data according to first, second, and third database management systems, respectively, and the application server is configured to run application modules of a set of application modules. The method of database recovery further includes starting a search module, starting a product catalog management module, starting a web connectivity module after starting the search module, starting a graphical user interface module after starting the web connectivity module, and starting at least one business operations module.

Abstract: A method of calibrating a radar sensor includes receiving radar returns from a plurality of objects based on a radar signal sent from the radar sensor, each of the radar returns having a magnitude, at least a subset of the objects are known static objects, identifying a location and orientation of the radar sensor when the signal was sent, identifying expected reflectance values for each of the plurality of known static objects, calculating a conversion function configured to adjust the magnitudes of each of the radar returns for the known static objects to an estimated reflectance value based on the expected reflectance values for each of the known static objects, and adjusting an output of the radar sensor based on the conversion function.

Abstract: A method for detecting and exposing user communication preferences within a communication application includes accessing a user profile datastore to retrieve an inferred communication preference from each of a plurality of user profiles. The method further includes storing, within each of a plurality of contact cards of a communication application, the inferred communication preference downloaded from a corresponding one of the plurality of user profiles in the user profile datastore; detecting, via a user interface of the communication application, a user interaction with a user interface element associated with a select one of the contact cards; and responsive to detecting the user interaction, presenting, on the user interface of the communication application, the inferred communication preference stored within in the select one of the contact cards.

Abstract: Provided herein is a digital care circle platform for electronic communication between a senior and virtual care circle members. The digital care circle platform may include a chatbot and an application associated with the senior, a mobile application associated with the plurality of virtual care circle members, at least one processor in communication with at least one memory device, and one or more servers, sensors, wearables, and transceivers. The at least one processor may be configured to: (i) accept event posts from the senior via the chatbot and application and from each virtual care circle member of the plurality of virtual care circle members via the mobile application, (ii) detect pro-active check-ins from the senior, and (iii) generate, once a pro-active check-in is detected, an electronic communication detailing the pro-active check-in as a pro-active check-in event, and transmit the pro-active check-in event to the virtual care circle members.

Abstract: A method may include obtaining a first 3D model of an upper jaw of a patient using an intraoral scanner and obtaining a second 3D model of the lower jaw of the patient using the intraoral scanner. The method may also include capturing a series of 2D images of the upper and lower jaws of the patient as the patient is moves the upper jaw and lower jaw in dynamic occlusion and processing the captured series of 2D images to identify features associated with the upper jaw of the patient and the lower jaw of the patient. For each 2D image in the captured series of 2D images, the method may include identifying a relative position of the first 3D model and the second 3D model based on alignment of features in the first 3D model and second 3D model with the features identified in the 2D image to generate a series of relative positions of the first 3D model and the second 3D model.

Abstract: A method of priming an interventional device assembly includes providing the interventional device assembly including a first interventional device coupled to a first hub and a second interventional device coupled to a second hub arranged in a concentric stack, the second interventional device being positioned within a lumen of the first interventional device. The method includes coupling the interventional device assembly to a drive system while arranged in the concentric stack, axially advancing the first interventional device and the first hub relative to the second hub to decrease a depth of insertion of the second interventional device within the lumen of the first interventional device while maintaining a distal end of the second interventional device within the lumen of the first interventional device, and flushing the first interventional device with fluid after decreasing the depth of insertion of the second interventional device within the lumen of the first interventional device.

Abstract: Particular embodiments may provide recommendations for a parking area for a vehicle. Information regarding an object within a specified area may be detected by a sensor of the vehicle. The specified area may be divided into a plurality of tiles. Based on the information regarding the object, one or more of the tiles may be classified as unobstructed tiles. Based on the one or more unobstructed tiles and a footprint of the vehicle, a parking area for the vehicle may be identified within the specified area. The footprint of the vehicle may fit inside the parking area. A visualization associated with the parking area may be generated.

Abstract: The present document relates to multi-phase power converters. In particular, the present document relates to a multi-phase power converter comprising a first phase with a first power stage and a first inductor, a second phase with a second power stage and a second inductor, and a first substrate extending along a first substrate plane. The first power stage, the first inductor and the second inductor may be arranged above the first substrate. The second power stage may be arranged below the first substrate.

Abstract: The invention relates to a flat textile material (2) for applying to a human or animal body (4) and for receiving electrical and/or electronic components (6) for medical measurement and/or control purposes, comprising: a longitudinal direction (8); a transverse direction (10) running transversely to the longitudinal direction; a plane of extension (12); a thickness direction (13) orthogonal to the e plane of extension (12); at least one carrier portion (36), which extends in the longitudinal direction (8) and has a carrier layer (44); at N least one pocket portion (34), which extends in the longitudinal direction (8), adjoins the carrier portion (36) in the longitudinal direction (8) and has at least one pocket (22) for receiving the electrical and/or electronic components (6); wherein the at least one pocket (22) comprises a first pocket layer (38) nearer the body and a second pocket layer (40) farther from the body, which delimit a pocket space (42) therebetween; wherein the at least one pocket (22) has at

Abstract: Systems and methods for detecting and classifying objects proximate to an autonomous vehicle can include a sensor system and a vehicle computing system. The sensor system includes at least one LIDAR system configured to transmit ranging signals relative to the autonomous vehicle and to generate LIDAR data. The vehicle computing system receives the LIDAR data from the sensor system. The vehicle computing system also determines at least a range-view representation of the LIDAR data and a top-view representation of the LIDAR data, wherein the range-view representation contains a fewer number of total data points than the top-view representation. The vehicle computing system further detects objects of interest in the range-view representation of the LIDAR data and generates a bounding shape for each of the detected objects of interest in the top-view representation of the LIDAR data.