Abstract: A patient interface has a single loop head strap and a mask for covering at least the nostrils of the user. The single loop head strap extends from the mask at either end. A short length of supple conduit is coupled to the mask by a swivel or ball joint to allow rotation of the conduit relative to the mask through different angles and orientations.

Abstract: A method for segmenting a camouflaged object image based on distraction mining is disclosed. PFNet successively includes a multi-layer feature extractor, a positioning module, and a focusing module. The multi-layer feature extractor uses a traditional feature extraction network to obtain different levels of contextual features; the positioning module first uses RGB feature information to initially determine the position of the camouflaged object in the image; the focusing module mines the information and removes the distraction information based on the image RGB feature information and preliminary position information, and finally determines the boundary of the camouflaged object step by step. The method of the present invention introduces the concept of distraction information into the problem of segmentation of the camouflaged object and develops a new information exploration and distraction information removal strategy to help the segmentation of the camouflaged object image.

Abstract: An interface and headgear assembly includes a headgear assembly. The headgear assembly has a first strap configured to connect to the interface. A crown strap can be adjusted along a length of the first strap. In some configurations, the crown strap has a first portion and a second portion that are adjustably connected. The crown strap can be removably connected to the first strap using bridge regions of the first portion and the second portion.

Abstract: The invention belongs to scene segmentation's field in computer vision and is a depth-aware method for mirror segmentation. PDNet successively includes a multi-layer feature extractor, a positioning module, and a delineating module. The multi-layer feature extractor uses a traditional feature extraction network to obtain contextual features; the positioning module combines RGB feature information with depth feature information to initially determine the position of the mirror in the image; the delineating module is based on the image RGB feature information, combined with depth information to adjust and determine the boundary of the mirror. This method is the first method that uses both RGB image and depth image to achieve mirror segmentation in an image. The present invention has also been further tested. For mirrors with a large area in a complex environment, the PDNet segmentation results are still excellent, and the results at the boundary of the mirrors are also satisfactory.

Abstract: A nasal mask having a seal housing and a flexible nasal seal connected or connectable to the seal housing to define a mask cavity. The nasal seal extends between a face-contacting side and an outer side. The nasal seal has a contacting surface having an edge that defines a nose-receiving opening into the mask cavity and which is configured to seal about the user's nose. The nasal seal also has an under-nose support fixedly connected into the seal and which is configured to extend within the mask cavity and having a contact surface that is oriented to contact at least a portion of the under-nose surface of the user.

Abstract: A nasal mask having a seal housing and a flexible nasal seal connected or connectable to the seal housing to define a mask cavity. The nasal seal extends between a face-contacting side and an outer side. The nasal seal has a contacting surface having an edge that defines a nose-receiving opening into the mask cavity and which is configured to seal about the user's nose. The nasal seal also has an under-nose support fixedly connected into the seal and which is configured to extend within the mask cavity and having a contact surface that is oriented to contact at least a portion of the under-nose surface of the user.

Abstract: A sealing interface forms part of an apparatus for supplying a flow of respiratory gases to a user. The sealing interface comprises a foam or gel inner cushion and a thin resilient rubber outer sheath. A face side of the inner cushion resiliently supports the outer sheath. The inner cushion has a toothed profile formed on the face side of the inner cushion. The toothed profile consists of at least one tooth having an apex on the perimeter of the inner cushion. The apex is positioned between two valleys in the perimeter of the inner cushion. In use the apex of each tooth of the toothed profile is in supporting contact with the outer sheath.

Abstract: Various embodiments may provide an electronic synapse device. The electronic synapse device may include a body including a doped chalcogenide layer including a chalcogenide material and a dopant. The electronic synapse device may also include a drain electrode in contact with the body. The electronic synapse device may further include a source electrode in contact with the body. The electronic synapse device may additionally include a gate electrode including an electrode contact layer in contact with the doped chalcogenide layer. The electrode contact layer may be any one selected from a group consisting of an electrically conductive layer including an electrically conductive material and a dopant layer including the dopant.

Abstract: A sealing interface forms part of an apparatus for supplying a flow of respiratory gases to a user. The sealing interface comprises a foam or gel inner cushion and a thin resilient rubber outer sheath. A face side of the inner cushion resiliently supports the outer sheath. The inner cushion has a toothed profile formed on the face side of the inner cushion. The toothed profile consists of at least one tooth having an apex on the perimeter of the inner cushion. The apex is positioned between two valleys in the perimeter of the inner cushion. In use the apex of each tooth of the toothed profile is in supporting contact with the outer sheath.

Abstract: The invention belongs to scene segmentation's field in computer vision and is a depth-aware method for mirror segmentation. PDNet successively includes a multi-layer feature extractor, a positioning module, and a delineating module. The multi-layer feature extractor uses a traditional feature extraction network to obtain contextual features; the positioning module combines RGB feature information with depth feature information to initially determine the position of the mirror in the image; the delineating module is based on the image RGB feature information, combined with depth information to adjust and determine the boundary of the mirror. This method is the first method that uses both RGB image and depth image to achieve mirror segmentation in an image. The present invention has also been further tested. For mirrors with a large area in a complex environment, the PDNet segmentation results are still excellent, and the results at the boundary of the mirrors are also satisfactory.

Abstract: A method for segmenting a camouflaged object image based on distraction mining is disclosed. PFNet successively includes a multi-layer feature extractor, a positioning module, and a focusing module. The multi-layer feature extractor uses a traditional feature extraction network to obtain different levels of contextual features; the positioning module first uses RGB feature information to initially determine the position of the camouflaged object in the image; the focusing module mines the information and removes the distraction information based on the image RGB feature information and preliminary position information, and finally determines the boundary of the camouflaged object step by step. The method of the present invention introduces the concept of distraction information into the problem of segmentation of the camouflaged object and develops a new information exploration and distraction information removal strategy to help the segmentation of the camouflaged object image.

Abstract: Methods and structures of a three-dimensional memory device are disclosed. In an example, the memory device includes a substrate having one or more first recesses in a first region and one or more second recesses in a second region. A liner layer is disposed over the sidewalls and bottom of the one or more first recesses in the first region and an epitaxially-grown material is formed in the one or more second recesses in the second region. One or more NAND strings are formed over the epitaxially-grown material disposed in the one or more second recesses, and one or more vertical structures are formed over the one or more first recesses in the first region.