Abstract: An acoustic core may include an array of resonant cells configured as a plurality of resonant cell groups. The resonant cell groups may include a plurality of resonant cells configured as a partitioned resonant cell that include a converging resonant cell and a diverging resonant cell. The converging resonant cell and the diverging resonant cell may be defined by a plurality of cell walls integrally formed with one another and a partition integrally formed with the plurality of cell walls. The partition may at least partially delimit the converging resonant cell from the diverging resonant cell. The converging resonant cell may define an upper resonant space delimited by the partition and a top face of the array of resonant cells. The diverging resonant cell may define a lower resonant space delimited by the partition and a bottom face of the array of resonant cells.

Abstract: Disclosed are systems and methods that automatically classify, segment, and parse content data using artificial intelligence and natural language processing technology, and generate graphical user interfaces that allow end users to dynamically filter content data for display. The systems processes volumes of content data to identify interrogative data, content sources that generated the interrogative data, and subject identifiers relating to the content data. The system generates graphical user interfaces that allow end users to effectively filter the data by choosing between layouts that display one or more of the various categories of data, including the interrogative data, content source identifiers, and/or subject identifiers.

Abstract: A femoral orthopaedic prosthesis includes a metallic core extending from a proximal end to a distal tip. The metallic core includes a neck that is positioned at the proximal end and is configured to receive a prosthetic femoral ball. An elongated stem extends distally from the neck to the distal tip. The stem includes a proximal section extending distally from the neck, and a distal section that extends proximally from the distal tip. The elongated stem also includes a pair of spaced-apart beams that connect the proximal section to the distal section. An aperture is defined in the stem between the pair of spaced apart beams.

Abstract: A method for virtually representing human body poses includes receiving positioning data detailing parameters of one or more body parts of a human user based at least in part on input from one or more sensors. One or more mapping constraints are maintained that relate a model articulated representation to a target articulated representation. A model pose of the model articulated representation and a target pose of the target articulated representation are concurrently estimated based at least in part on the positioning data and the one or more mapping constraints. The previously-trained pose optimization machine is trained with training positioning data having ground truth labels for the model articulated representation. The target articulated representation is output for display with the target pose as a virtual representation of the human user.

Abstract: A display article is described herein that includes: a substrate comprising a thickness and a primary surface; and the primary surface having defined thereon a diffractive surface region. The diffractive surface region comprises a plurality of structural features that comprises a plurality of different heights in a multimodal distribution. Further, the substrate exhibits a sparkle of less than 4%, as measured by pixel power deviation (PPD140) at an incident angle of 0° from normal, a distinctness of image (DOI) of less than 80% at an incident angle of 20° from normal, and a transmittance haze of less than 20% from an incident angle of 0° from normal.

Abstract: Safety of vehicles employing an electrolysis generator is improved by a rollover abatement system.

Abstract: Navigation and simulation systems and methods for minimally invasive therapy in which the navigation system imports a planning method using patient specific preoperative images. The navigation system uses intraoperative imaging during the medical procedure to update the preoperative images and provides images of tracked surgical tools along the surgical path prepared from the preoperative images.

Abstract: Computing an image depicting a face having an expression with wrinkles is described. A 3D polygon mesh model of a face has a non-neutral expression. A tension map is computed from the 3D polygon mesh model. A neutral texture, a compressed wrinkle texture and an expanded wrinkle texture are computed or obtained from a library. The neutral texture comprises a map of the first face with a neutral expression. The compressed wrinkle texture is a map of the first face formed by aggregating maps of the first face with different expressions using the tension map, and the expanded wrinkle texture comprises a map of the first face formed by aggregating maps of the first face with different expressions using the tension map. A graphics engine may be used to apply the wrinkle textures to the 3D model according to the tension map; and render the image from the 3D model.

Abstract: Disclosed are systems and methods that automatically classify, segment, and parse content data using artificial intelligence and natural language processing technology, and generate graphical user interfaces that allow end users to dynamically filter content data for display. The systems processes volumes of content data to identify interrogative data, content sources that generated the interrogative data, and subject identifiers relating to the content data. The system generates graphical user interfaces that allow end users to effectively filter the data by choosing between layouts that display one or more of the various categories of data, including the interrogative data, content source identifiers, and/or subject identifiers.

Abstract: A blade for a ceiling fan can include a first half and a second half formed from a pulp material. The first half is attachable to the second half to form the blade. Additionally, a blade can include a skeleton with an over molding made from a pulp forming the blade. Furthermore, a blade can be formed using a blade base with a pulp topper added to the blade to form an aerodynamic shape for the blade.

Abstract: A choke valve and a method of operation of the choke valve in which the choke valve includes an orifice plate and/or a guide vane to control a flow of fluid though the choke valve, the orifice plate defining a center point and being rotatable about a center axis extending longitudinally through the center point; the orifice plate defining at least one aperture including a first aperture, the first aperture defining at least a first equi-incremental phase region, the first aperture being spaced away from the center point of the orifice plate; and rotation of the orifice plate with respect to the center point effecting an incremental and staged transitioning of the orifice plates among a plurality of open states.

Abstract: Systems and methods are provided that are directed to generating video sequences including physio-realistic avatars. In examples, an albedo for an avatar is received, a sub-surface skin color associated with the albedo is modified based on physiological data associated with physiologic characteristic, and an avatar based on the albedo and the modified sub-surface skin color is rendered. The rendered avatar may then be synthesized in a frame of video. In some examples, a video including the synthesized avatar may be used to train a machine learning model to detect a physiological characteristic. The machine learning model may receive a plurality of video segments, where one or more of the video segments includes a synthetic physio-realistic avatar generated with the physiological characteristic. The machine learning model may be trained using the plurality of video segments. The trained model may be provided to a requesting entity.

Abstract: Safety of vehicles employing an electrolysis generator is improved by a rollover abatement system.

Abstract: The disclosure relates to methods of manufacturing surface materials for construction or manufacturing use and the surface materials produced by such methods. Substrate materials, such as synthetic or engineered stone or fiber-reinforced resinous panels, can be formed in conventional ways such as casting, molding, or pressing. Layers are printed onto substrate materials to form textures, which may include inks to selectively color the printed texture, thereby enabling a wide variety of high-resolution appearances. A clear, protective topcoat is then applied to the surface materials and cured to provide a finished material.

Abstract: Systems and methods are provided that are directed to generating video sequences including physio-realistic avatars. In examples, an albedo for an avatar is received, a sub-surface skin color associated with the albedo is modified based on physiological data associated with physiologic characteristic, and an avatar based on the albedo and the modified sub-surface skin color is rendered. The rendered avatar may then be synthesized in a frame of video. In some examples, a video including the synthesized avatar may be used to train a machine learning model to detect a physiological characteristic. The machine learning model may receive a plurality of video segments, where one or more of the video segments includes a synthetic physio-realistic avatar generated with the physiological characteristic. The machine learning model may be trained using the plurality of video segments. The trained model may be provided to a requesting entity.

Abstract: A method for virtually representing human body poses includes receiving positioning data detailing parameters of one or more body parts of a human user based at least in part on input from one or more sensors. One or more mapping constraints are maintained that relate a model articulated representation to a target articulated representation. A model pose of the model articulated representation and a target pose of the target articulated representation are concurrently estimated based at least in part on the positioning data and the one or more mapping constraints. The previously-trained pose optimization machine is trained with training positioning data having ground truth labels for the model articulated representation. The target articulated representation is output for display with the target pose as a virtual representation of the human user.

Abstract: The techniques described herein disclose a system that is configured to detect and track the three-dimensional pose of an object (e.g., a head-mounted display device) in a color image using an accessible three-dimensional model of the object. The system uses the three-dimensional pose of the object to repair pixel depth values associated with a region (e.g., a surface) of the object that is composed of material that absorbs light emitted by a time-of-flight depth sensor to determine depth. Consequently, a color-depth image (e.g., a Red-Green-Blue-Depth image or RGB-D image) can be produced that does not include dark holes on and around the region of the object that is composed of material that absorbs light emitted by the time-of-flight depth sensor.

Abstract: The disclosure relates to methods of manufacturing surface materials for construction or manufacturing use and the surface materials produced by such methods. Substrate materials, such as synthetic or engineered stone or fiber-reinforced resinous panels, can be formed in conventional ways such as casting, molding, or pressing. Layers are printed onto substrate materials to form textures, which may include inks to selectively color the printed texture, thereby enabling a wide variety of high-resolution appearances. A clear, protective topcoat is then applied to the surface materials and cured to provide a finished material.

Abstract: Keypoints are predicted in an image. Predictions are generated for each of the keypoints of an image as a 2D random variable, normally distributed with location (x, y) and standard deviation sigma. A neural network is trained to maximize a log-likelihood that samples from each of the predicted keypoints equal a ground truth. The trained neural network is used to predict keypoints of an image without generating a heatmap.

Abstract: Keypoints are predicted in an image. A neural network is executed that is configured to predict each of the keypoints as a 2D random variable, normally distributed with a 2D position and 2×2 covariance matrix. The neural network is trained to maximize a log-likelihood that samples from each of the predicted keypoints equal a ground truth. The trained neural network is used to predict keypoints of an image without generating a heatmap.