Abstract: A three-dimensional measurement method combines the three-step phase shift method to embed the marker line information into the sinusoidal stripe pattern to obtain the target stripe pattern. The target stripe pattern is projected onto the surface of the object to be measured, and the wrapped phase image, mean intensity image and modulated intensity image of the stripe pattern collected by the left and right cameras are solved. The mask image according to the mean intensity image and modulation intensity image is solved to extract the marker line. The spatial phase unwrapping starting from the marker line in the wrapped phase image is performed to obtain the spatial phase. The spatial phase matching based on the unique correspondence between the left and right cameras based on the spatial phase of the marker line is performed, the best matching point of the right camera is obtained.

Abstract: A method for image-based orthodontic treatment may include receiving image data of a patient's dentition and an orthodontic appliance, identifying, from the image data, the orthodontic appliance, calculating a misalignment height of a misalignment of the orthodontic appliance with respect to the patient's dentition, determining whether the misalignment height satisfies a misalignment threshold, and in response to satisfying the misalignment threshold, providing a notification.

Abstract: An electronic apparatus performs a method of real time simulation of physical visual effect on one or more Graphics Processing Units (GPUs). The method includes a plurality of time steps. Each of the time steps includes: building up a mapping between particles and background grid blocks; sorting the particles to a level of granularity; transferring momenta and masses of the particles to grid nodes on the background grid blocks to compute forces on the grid nodes; updating velocities and resolving collisions from the computed forces on the grid nodes; and applying the updated velocities back to the particles from the grid nodes and advecting the particles. In some embodiments, the frequency of building up and sorting is reduced compared with the frequency of transferring, updating, and applying in the plurality of time steps.

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: A roller assembly for a mobile cleaning system for cleaning a work surface can include a drive shaft, a sheath, a bushing, and a bushing shroud. The drive shaft can be rotatable about a drive axis, and the drive shaft can include a driven end and an opposite bushing end. The sheath can be supported by the drive shaft and the sheath can be rotatable with the drive shaft. The sheath can include a shell engageable with the work surface. The bushing can be located about the bushing end of the drive shaft. The bushing shroud can be connected to the bushing. The sheath and the drive shaft can be together rotatable with respect to the bushing and the bushing shroud, the bushing shroud can include an outer portion defining a first radius of curvature and a recessed portion connected to the outer portion.

Abstract: Methods, apparatuses, and systems are disclosed for simulating a tooth whitening procedure. The simulation may generally obtain a patient's two-dimensional or three-dimensional dental scan and color space convert color information from a first or native color space to a color space based on an International Commission on Illumination color space (CIELAB). The simulation may include modifying color information in the CIELAB color space then returning the modified color information to the native color space.

Abstract: An item recall method includes: behavior data is acquired, where the behavior data includes items and item information of each item; target behavior data containing a retrieval category word is extracted from the behavior data; retrieval words of each item and a retrieval frequency of each retrieval word are acquired in a reverse correlation manner; word segmentation is performed on the item information to obtain multiple item segmented words; a similarity between all retrieval words and the multiple item segmented words is calculated; whether the similarity is greater than a first preset threshold or not is determined, and if yes, then a retrieval word is extracted as an expansion word of the retrieval category word; and item recall is performed according to the retrieval category word and the expansion word.

Abstract: Methods and apparatuses (including systems and devices), including computer-implemented methods for segmenting, correcting and/or modifying a three-dimensional (3D) model of a subject's oral cavity to determine individual components such as teeth, gingiva, tongue, palate, etc., that may be selective and/or collectively digitally manipulated. In some implementations, artificial intelligence uses libraries of labeled 2D images and 3D dental models to learn how to segment a 3D dental model of a subject's oral cavity using 2D images, height map and/or other data and projection values that relate the 2D images to the 3D model. As noted herein, the dental classes can include a variety of intra-oral and extra-oral objects and can be represented as binary values, discrete values, a continuum of height map data, etc. In some implementations, several dental classes are predicted concurrently.

Abstract: A method includes determining depth values associated with a first set of pixel locations in a first image of a mouth. One or more function is generated for one or more color channels based on intensities of the one or more color channels at the first set of pixel locations and depth values associated with the first set of pixel locations. Image data comprising a new representation of the teeth is received, wherein the image data comprises a second set of pixel locations and new depth values associated with the second set of pixel locations. A new image is generated based on the image data and the one or more functions.

Abstract: The present disclosure provides a method of treating cancer in a subject in need thereof comprising administering a therapeutically effective amount of a MALT-1 inhibitor to the subject; optionally in combination with a checkpoint inhibitor, wherein the MALT-1 inhibitor is administered at a continuous daily dose over a treatment cycle.

Abstract: Systems and methods of simulating dental treatments are disclosed. A method may include capturing a first 2D image of a patient's face, including the patient's teeth, building a parametric 3D model of the patient's teeth and gingiva based on the first 2D image, developing a simulated outcome of a dental treatment of the patient's teeth by rendering the parametric 3D model with the patient's teeth in one or more positions and/or orientations corresponding to the treatment goals of the dental treatment plan, and rendering a second 2D image of the patient's face with gingiva and teeth according to a simulated outcome of the dental treatment plan. As noted herein, the dental treatment plan may include orthodontic and/or restorative elements. The simulated outcome may correspond to estimated outcomes and/or intended outcomes of the dental treatment plan.

Abstract: A method for dental treatment may include receiving photos capturing a state of a patient's dentition of a patient at a specific time, retrieving a first treatment plan to treat the patient's dentition, identifying an intended arrangement of the first treatment plan at the specific time, evaluating the photo parameters of the photos to generate alignment data to align the intended arrangement of the first treatment plan and the photos, generating an alignment mesh using the alignment data, the alignment mesh comprising a three-dimensional (3D) mesh representation of the patient's dentition at the specific time, performing an evaluation of the first treatment plan for modifications using the alignment mesh, and identifying proposed modifications to the first treatment plan based on the evaluation.

Abstract: A method includes determining depth values associated with a first set of pixel locations in a first image of a mouth. One or more function is generated for one or more color channels based on intensities of the one or more color channels at the first set of pixel locations and depth values associated with the first set of pixel locations. Image data comprising a new representation of the teeth is received, wherein the image data comprises a second set of pixel locations and new depth values associated with the second set of pixel locations. A new image is generated based on the image data and the one or more functions.

Abstract: Methods and apparatuses (including systems and devices), including computer-implemented methods for segmenting, correcting and/or modifying a three-dimensional (3D) model of a subject's oral cavity to determine individual components such as teeth, gingiva, tongue, palate, etc., that may be selective and/or collectively digitally manipulated. In some implementations, artificial intelligence uses libraries of labeled 2D images and 3D dental models to learn how to segment a 3D dental model of a subject's oral cavity using 2D images, height map and/or other data and projection values that relate the 2D images to the 3D model. As noted herein, the dental classes can include a variety of intra-oral and extra-oral objects and can be represented as binary values, discrete values, a continuum of height map data, etc. In some implementations, several dental classes are predicted concurrently.

Abstract: An adaptive measurement and calculation method for luminescence values of a chemiluminescence analyzer is provided. A fixed step length is adopted for continuous multi-point reading to obtain a complete correspondence diagram of detection positions and luminescence values. Two nearest luminescence values on the left and right sides of a maximum value are selected, the nearest luminescence values on both sides are connected to form a straight line, and an intersection of two straight lines is taken as an approximate maximum luminescence value. The measurement and calculation method can adapt to random positions of the detected object, and stably obtain the approximate maximum luminescence value, thus reducing increased complex hardware design and cost to confirm accuracy of the measurement position.

Abstract: The present application provides a method for speed estimation, device, electronic device, and storage medium, and relates to the technical field of rotational speed estimation. The method for speed estimation is applied to a three-phase brushless motor: firstly, acquire voltages of three terminals of a three-phase brushless motor; secondly, take the voltage difference value of each two terminals as an equivalent line voltage; thirdly, determine a virtual Hall signal according to a zero-crossing point of the equivalent line voltage; and lastly, estimate the rotational speed of the three-phase brushless motor according to the virtual Hall signal. The method for speed estimation, device, electronic device, and storage medium provided in the present application have the advantage of being simpler for rotational speed estimation.

Abstract: Systems and methods of simulating dental treatments are disclosed. A method may include capturing a first 2D image of a patient's face, including the patient's teeth, building a parametric 3D model of the patient's teeth and gingiva based on the first 2D image, developing a simulated outcome of a dental treatment of the patient's teeth by rendering the parametric 3D model with the patient's teeth in one or more positions and/or orientations corresponding to the treatment goals of the dental treatment plan, and rendering a second 2D image of the patient's face with gingiva and teeth according to a simulated outcome of the dental treatment plan. As noted herein, the dental treatment plan may include orthodontic and/or restorative elements. The simulated outcome may correspond to estimated outcomes and/or intended outcomes of the dental treatment plan.

Abstract: The present application provides a method for speed estimation, device, electronic device, and storage medium, and relates to the technical field of rotational speed estimation. The method for speed estimation is applied to a three-phase brushless motor: firstly, acquire voltages of three terminals of a three-phase brushless motor; secondly, take the voltage difference value of each two terminals as an equivalent line voltage; thirdly, determine a virtual Hall signal according to a zero-crossing point of the equivalent line voltage; and lastly, estimate the rotational speed of the three-phase brushless motor according to the virtual Hall signal. The method for speed estimation, device, electronic device, and storage medium provided in the present application have the advantage of being simpler for rotational speed estimation.

Abstract: Disclosed is a method of providing information including obtaining input information of a user, wherein the input information is related to a service, determining whether an account corresponding to the user exists in the service, obtaining characteristic information of the user based on the result of the determination, providing response information corresponding to the input information based on the characteristic information and the result of the determination, and storing activity information of the user based on at least one of the input information, the response information, and the characteristic information.