Abstract: Methods for visualizing treatment outcomes are provided. In some embodiments, a method includes obtaining a first 2D image of a patient's teeth from a mobile device, and obtaining an arch model representing an outcome for the patient's teeth after orthodontic treatment. The method can include matching the patient's teeth in the first 2D image to corresponding teeth in the arch model, using a parametric model. The method can also include determining a target position for the patient's teeth, based on a position of the matched corresponding teeth in the arch model. The method can further include generating a second 2D image depicting the patient's teeth in the target position.

Abstract: Medical protective clothing, including a protective clothing body. The protective clothing body includes a hood part, a neck part, a top, pants, shoe cover parts, and sleeves, and is formed by sewing the hood part, the neck part, the top, the pants, the shoe cover parts and the sleeves in sequence. The hood part includes an air exchange assembly. The sidewall of the top is separated from the back of the medical personnel by means of airbag ribs, thus preventing the sweaty back from being in contact with the sidewall of the top to make the people feel uncomfortable when the protective clothing is worn for a long time in summer.

Abstract: Provided herein are orthodontic systems and methods for automatically segmenting a person's teeth. Systems, methods and processes are provided to properly segment the teeth of a person's teeth from an image of the person's face showing at least some of the person's teeth (e.g., dental arch). Methods and systems are provided to automatically detect dental edges after a dental scan. Also described herein are methods and systems for generating a simulated image of the person's face from the final segmentation of the person's teeth in which the segmented teeth have been moved from their original position, including a new position based on an orthodontic treatment plan.

Abstract: A computing device comprises a memory to store instructions and one or more processors operatively coupled to the memory. Execution of the instructions causes the one or more processors to calculate a quality metric for a region of interest in a received image of a face of a person that comprises a current dentition of the person, wherein data for pixels inside of the region of interest is used to calculate the quality metric, and wherein data for pixels of a second region that is outside of the region of interest is not used to calculate the quality metric; determine whether the quality metric satisfies a criterion; and responsive to determining that the quality metric satisfies the criterion, generate a modified version of the image, wherein the current dentition of the person is replaced with a post-treatment dentition of the person in the modified version of the image.

Abstract: Embodiments include receiving image data comprising a representation of teeth, wherein the image data comprises a set of pixel locations for the teeth and depth values associated with the pixel locations in the set of pixel locations. The method further includes generating new image based on applying one or more functions to the image data, wherein the one or more functions adjust one or more color channels of the set of pixel locations based at least in part on the depth values.

Abstract: Apparatuses and methods for dental image analysis including determining pixel sizes of an image. A pixel size enables conversion of a two-dimension image-based measurement into a 3D measurement. The pixel sizes vary over the image due to differences in distance between the camera taking the image and the object of interest. A three-dimensional model may be registering to the two-dimension image, and the pixel sizes may be identified on a per-object (e.g., per-tooth) basis, per-region basis or at each point in the image. The pixel size scaling may be used to identify features in the image for diagnostic or other dental application purposes.

Abstract: Provided herein are orthodontic systems and methods for automatically segmenting a person's teeth. Systems, methods and processes are provided to properly segment the teeth of a person's teeth from an image of the person's face showing at least some of the person's teeth (e.g., dental arch). Methods and systems are provided to automatically detect dental edges after a dental scan. Also described herein are methods and systems for generating a simulated image of the person's face from the final segmentation of the person's teeth in which the segmented teeth have been moved from their original position, including a new position based on an orthodontic treatment plan.

Abstract: Disclosed are azacarbene carbon free radical molecules including a structure of formula (I). T is a single bond, or a carbon atom, or a nitrogen atom, when T is a single bond, Ar3 does not exist. Also provided are formulations containing at least one azacarbene carbon free radical molecule, and at least one organic solvent. Further provided are organic electronic devices containing at least one azacarbene carbon free radical molecule.

Abstract: The present invention relates to a boron hydroxyl-containing organic compound having a structural formula shown in formula I. The present invention also relates to a method for preparing the boron hydroxyl-containing organic compound and use thereof in an organic electronic device, particularly an organic light-emitting diode. The present invention further relates to an organic electronic device, particularly an organic light-emitting diode, including the boron hydroxyl-containing organic compound according to the present invention and use thereof in display and lighting technology. By optimizing the structure of the device and altering the concentration of the boron hydroxyl-containing organic compound in the substrate, the optimal device performance can be achieved so as to produce an OLED device with high efficiency, high brightness and high stability, which provides a better material option for use in full-color display and lighting.

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 computer-implemented method for generating a 3D geological model of a subsurface volume of a geographic site. The method includes processing, based on a machine-learning-based model, borehole data of a plurality of boreholes at the geographic site and trusted geological data associated with the geographic site, so as to generate a plurality of geological cross-sections of the subsurface volume of the geographic site. The borehole data includes data related to subsurface soil and/or rock information along at least part of each of the plurality of boreholes. The trusted geological data includes data related to prior stratigraphic information associated with the geographic site. Each of the geological cross-sections contains respective stratigraphic information. The method also includes forming the 3D geological model based on the generated geological cross-sections for display.

Abstract: A processing device receives an image and calculates a sharpness metric for a region of interest of the image. The processing device determines whether the sharpness metric satisfies a sharpness criterion, and one or more additional operations are performed responsive to determining that the sharpness metric satisfies the sharpness criterion.

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 connection apparatus and an integrated assembly are provided. The connection apparatus comprises a base portion and a flow passage portion which are limited and/or fixedly provided. The connection apparatus comprises a plurality of element connection portions and a plurality of external interfaces that can be used for connecting to a system. The base portion comprises at least two accommodating portions. The flow passage portion comprises at least two modules and a connection part, and the modules are partially located in the accommodating portions. The base portion is provided with a limiting structure that limits the movement of the modules and a notch portion that is at least arranged between two adjacent accommodating portions. The connection apparatus is provided with the connection part that connects at least one group of two adjacent modules, and the connection part is partially located at the notch portion.

Abstract: The disclosure is directed to a bispecific protein, comprising a first binding domain (BD1) that binds to a first target and a second binding domain (BD2) that binds to a second target, wherein the BD1 binds to IL6R or CD40, and BD2 binds to CD80/CD86; a composition comprising the bispecific protein, nucleic acids, cells, or any methods of use thereof.

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: In a technique to assess the blurriness of an image, an image of a face is received, the image including a depiction of lips. A processing device determines a region of interest in the image, wherein the region of interest comprises an area inside of the lips. The processing device applies a focus operator to the pixels within the region of interest, and calculates a sharpness metric for the region of interest using an output of the focus operator. The processing device determines whether the sharpness metric satisfies a sharpness criterion, and one or more additional operations are performed responsive to determining that the sharpness metric satisfies the sharpness criterion.