Abstract: Various apparatuses are disclosed (e.g., system, device, method, or the like) for guiding the capture and assessing the quality of an image, including dental images. The apparatuses may use trained neural networks to examine images and provide users feedback regarding image quality. The neural networks may be trained based on images within image groups that have been ranked based on perceived image quality.

Abstract: A method of dental treatment may include receiving photos of a person's dentition, identifying a stage of a treatment plan administered to the person's dentition, gathering a three-dimensional (3D) model of the person's dentition corresponding to the stage of the treatment plan, projecting attributes of the 3D model of the person's dentition onto an image plane to get a projected representation of the person's dentition at the stage of the treatment plan, comparing the photos to the projected representation to derive an error image representing the comparison, and analyzing the error image for discrepancies, wherein the discrepancies represent one or more deviations of the person's dentition from the stage of the treatment plan.

Abstract: Methods, devices, and systems for migration or sharing of existing M2M service layer sessions are disclosed. In one embodiment, a Session Migration and Sharing Function (SMSF) performs the migration or sharing of a M2M service layer session. Various forms of service layer session context may be used to enable the migration and sharing of M2M service layer sessions.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for configuring location-specific electrical load models while preserving privacy. A first machine learning model configured to predict electrical load curves of an electrical utility grid can be obtained from a server. Load values associated with a particular region of the electrical utility grid can be obtained. The load values can be applied as calibration input to the first machine learning model to produce first adjustment parameters for the first machine learning model. The first adjustment parameters can be provided to the server.

Abstract: This disclosure describes a system, method, and non-transitory computer readable media for an ultrasound probe configured to capture ultrasound images of an examination region. The system includes a first set of one or more sensors coupled to the ultrasound probe and configured to estimate a first positional information associated with the ultrasound probe. The system includes a second set of one or more sensors coupled to the ultrasound probe and configured to capture electromagnetic force (EMF) measurements in the examination region to estimate a second positional information associated with the ultrasound probe. The second positional information is used to calibrate the first set of one or more sensors. The system includes a controller configured to use at least one of (i) the first positional information, or (ii) the second positional information to generate a reconstruction of the examination region based on ultrasound images captured by the ultrasound probe.

Abstract: The present disclosure provides a multilayer film. The multilayer film includes at least two layers including a sealant layer and a second layer in contact with the sealant layer. The sealant layer contains (A) a first ethylene-based polymer having a density from 0.900 g/cc to 0.925 g/cc and a melt index from 0.5 g/10 min to 30 g/10 min; and (B) a polyethylene-polydimethylsiloxane block copolymer having a weight average molecular weight from 1,000 g/mol to 10,000 g/mol. The second layer contains a second ethylene-based polymer.

Abstract: In one example embodiment, a transistor (100) is provided. The transistor (100) comprises a source (10), a gate (30), a drain (20), and a field plate (40) located between the gate (30) and the drain (20). The field plate (40) comprises a plurality of connection locations (47) and a plurality of electrical connectors (45) connecting said plurality of connection locations (47) to a potential.

Abstract: A method of modular construction for fabricating kitchen, bath or other countertops from modular pieces into a single laminated piece is disclosed. The method allows the inventorying of prefabricated modular countertop pieces such as that made from Corian® or other similar material. Using the method, a customer selecting a desired configuration of modular pieces can be provided a countertop, kitchen top or bathroom unit which is a singular piece, including lamination of a custom sink basin to be integrated into any selected countertop. The method disclosed allow for custom production using standardized or modular pieces, thereby reducing costs for construction while accelerating the delivery time to a customer.

Abstract: In one example embodiment, a transistor (100) is provided. The transistor (100) comprises a source (10), a gate (30), a drain (20), and a field plate (40) located between the gate (30) and the drain (20). The field plate (40) comprises a plurality of connection locations (47) and a plurality of electrical connectors (45) connecting said plurality of connection locations (47) to a potential.