Abstract: A device, structure, and method are provided whereby an insert layer is utilized to provide additional support for surrounding dielectric layers. The insert layer may be applied between two dielectric layers. Once formed, trenches and vias are formed within the composite layers, and the insert layer will help to provide support that will limit or eliminate undesired bending or other structural motions that could hamper subsequent process steps, such as filling the trenches and vias with conductive material.

Abstract: A stream of virtual topograms, in particular live virtual topograms, is predicted. Sets of surface data of an outer surface of a subject are continuously received. Based on each received set of surface data a (live) virtual topogram is continuously generated by a trained machine learning algorithm (MLA). Thereto, a representation of body landmarks is updated based on each received set of surface data by a trained body marker detector (BMD), of the trained MLA, and the (live) virtual topogram is predicted based on the updated spatial marker map and on the corresponding set of surface data by a trained topogram generator (TG) of the trained MLA.

Abstract: A method of characterizing a serum and plasma portion of a specimen in regions occluded by one or more labels. The characterization may be used for Hemolysis, Icterus, and/or Lipemia, or Normal detection. The method captures one or more images of a labeled specimen container including a serum or plasma portion, processes the one or more images to provide segmentation data and identification of a label-containing region, and classifying the label-containing region with a convolutional neural network (CNN) to provide a pixel-by-pixel (or patch-by-patch) characterization of the label thickness count, which may be used to adjust intensities of regions of a serum or plasma portion having label occlusion. Optionally, the CNN can characterize the label-containing region as one of multiple pre-defined label configurations. Quality check modules and specimen testing apparatus adapted to carry out the method are described, as are other aspects.

Abstract: An in-plane magnetized spin-orbit magnetic device is provided. The in-plane magnetized spin-orbit magnetic device includes a heavy metal layer, an upper electrode and a magnetic tunnel junction. The magnetic tunnel junction is disposed between the heavy metal layer and the upper electrode. The magnetic tunnel junction includes a free layer and a pinned layer. The free layer is disposed on the heavy metal layer, and the free layer has a first film plane area. The pinned layer is disposed on the free layer, and the pinned layer has a second film plane area. There is a preset angle between a long axis direction of a film plane shape of the free layer and a long axis direction of a film plane shape of the pinned layer, and the first film plane area is larger than the second film plane area.

Abstract: A method of decoding a bitstream by an electronic device is provided. A block unit is determined from an image frame according to the bitstream. One of a plurality of candidate groups is selected based on a set flag in the bitstream. A plurality of merge mode with motion vector difference (MMVD) indications of the block unit is determined according to the bitstream. A plurality of MMVD prediction parameters of the block unit is determined based on the plurality of MMVD indications and the selected candidate group. The block unit is reconstructed based on the plurality of MMVD prediction parameters.

Abstract: A video coder is configured to form, in a symmetric motion vector difference mode, a List 0 (L0) base vector using a L0 Advanced Motion Vector Prediction (AMVP) candidate list and a List 1 (L1) base vector using a L1 AMVP candidate list; determine a refined L0 motion vector and a refined L1 motion vector by performing a decoder-side motion vector refinement process that refines the L0 base vector and the L1 base vector; and use the refined L0 motion vector and the refined L1 motion vector to determine a prediction block for a current block of a current picture of the video data.

Abstract: A rower includes a main frame, a second frame pivotally connected to the main frame with one end thereof and having a protruding portion, a handlebar provided with a slot that corresponds to the slot in size and has the configuration complementary to the protruding portion, and a first magnetically attractive member and a second magnetically attractive member respectively and fixedly installed in the slot of the handlebar and the protruding portion of the second frame and magnetically attractable to each other. In this way, in the process of bending the second frame, the handlebar is not easy to detach from the second frame, so the user can fold the handlebar relatively conveniently and easily, and can avoid the handlebar from being damaged by accidental falling during the folding process.

Abstract: A rower folding structure includes a main frame provided with a stopper at the front and a screw lock seat with a locking bolt at the bottom, and a second frame pivotally connected to the front of the main frame and pivotable relative to the main frame between an unfolded position and a folded position. The second frame is provided with a buckle member at the bottom, which has an opening for the passing of the locking bolt. When the second frame is at the unfolded position, the buckle member abuts the screw lock seat and the locking bolt tightens the buckle member; when the second frame is at the folded position, the second frame abuts the stopper. In this way, the overall volume of the rower during transportation can be reduced.

Abstract: A rower includes a main frame provided with a slide rail that has a front and an opposing rear end, a seat cushion slidably arranged on the slide rail, and a resistance device installed under the slide rail and adjacent to the rear end of the slide rail. Thereby, by changing the resistance device to be arranged in the rear half of the rower and arranged under the slide rail, the overall volume of the rower can be further reduced.

Abstract: A method of characterizing a serum and plasma portion of a specimen in regions occluded by one or more labels. The characterization may be used for determining Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N) of a serum or plasma portion of a specimen. The method includes capturing one or more images of a labeled specimen container including a serum or plasma portion, processing the one or more images with a convolutional neural network to provide a determination of Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N). In further embodiments, the convolutional neural network can provide N?-Class segmentation information. Quality check modules and testing apparatus adapted to carry out the method are described, as are other aspects.

Abstract: A video coder is configured to form, in a symmetric motion vector difference mode, a List 0 (L0) base vector using a L0 Advanced Motion Vector Prediction (AMVP) candidate list and a List 1 (L1) base vector using a L1 AMVP candidate list; determine a refined L0 motion vector and a refined L1 motion vector by performing a decoder-side motion vector refinement process that refines the L0 base vector and the L1 base vector; and use the refined L0 motion vector and the refined L1 motion vector to determine a prediction block for a current block of a current picture of the video data.

Abstract: An example method includes decoding, from a coded video bitstream, a first syntax element that specifies a constraint for a second syntax element that specifies whether subpicture information is present in the coded video bitstream and whether more than one subpicture is allowed to be present in the coded video bitstream; and decoding, based on the constraint specified by the first syntax element, the second syntax element.

Abstract: A method of processing video data, the method comprising: decoding a syntax element in a profile tier level syntax structure in a bitstream that includes an encoded representation of the video data; and based on a value of the syntax element being equal to 0, inferring that all constraint fields in a general constraint information syntax structure have values indicating that constraints corresponding to the constraint fields do not apply to the bitstream.

Abstract: Example methods and devices for coding video data are disclosed. An example device for coding video data includes memory configured to store the video data, and one or more processors implemented in circuitry and communicatively coupled to the memory. The one or more processors are configured to determine a value of a first syntax element indicative of whether a first constraint is applicable, the first constraint being that rectangular slices are not used for a plurality of pictures. The one or more processors are also configured to decode the plurality of pictures of the video data in accordance with the value of the first syntax element.

Abstract: Example techniques and devices for decoding video data are disclosed. An example device includes memory configured to store the video data and one or more processors implemented in circuitry and communicatively coupled to the memory. The one or more processors are configured to extract a current sub-picture from a bitstream of the video data and parse virtual boundary syntax elements indicative of virtual boundaries for a current picture, wherein the current sub-picture is associated with the current picture. The one or more processors are configured to update the virtual boundaries based at least in part on the virtual boundary syntax elements and decode the current sub-picture based on the updated virtual boundaries.

Abstract: A method of characterizing a specimen in a specimen container includes capturing one or more images of the specimen container, wherein the one or more images include one or more objects of the specimen container, and wherein the capturing generates pixel data from a plurality of pixels. The method further includes identifying one or more selected objects from the one or more objects, displaying an image of the specimen container, and displaying, on the image of the specimen container, one or more locations of pixels used to identify the one or more selected objects. Other apparatus and methods are disclosed.

Abstract: A method of characterizing a serum or plasma portion of a specimen in a specimen container provides an HILN (hemolysis, icterus, lipemia, normal) determination. Pixel data of an input image of the specimen container is processed by a classification network to identify whether the specimen contains plasma or serum. Specimen Pixel data representing a plasma sample are forwarded to a segmentation/classification/regression network trained with plasma samples for HILN determination. Pixel data representing a serum sample are forwarded to a transformation network, wherein the serum sample pixel data is transformed into pixel data that matches pixel data of a corresponding previously-collected plasma sample by changing sample color, contrast, intensity, and/or brightness. The transformed serum sample pixel data are forwarded to the segmentation/classification/regression network for HILN determination.

Abstract: A method of characterizing a specimen as containing hemolysis, icterus, or lipemia is provided. The method includes capturing one or more images of the specimen, wherein the one or more images include a serum or plasma portion of the specimen. Pixel data is generated by capturing the image. The pixel data of the one or more images of the specimen is processed using a first network executing on a computer to predict a classification of the serum or plasma portion, wherein the classification comprises hemolysis, icterus, and lipemia. The predicted classification is verified using one or more verification networks. Quality check modules and specimen testing apparatus adapted to carry out the method are described, as are other aspects.

Abstract: Methods of autonomous diagnostic verification and detection of defects in the optical components of a vision-based inspection system are provided. The method includes illuminating a light panel with a first light intensity pattern, capturing a first image of the first light intensity pattern with a sensor, illuminating the light panel with a second light intensity pattern different than the first light intensity pattern, capturing a second image of the second light intensity pattern with the sensor, comparing the first image and the second image to generate a comparison of images, and identifying defects in the light panel or the sensor based upon the comparison of images. Systems adapted to carry out the methods are provided as are other aspects.

Abstract: A method of processing video data comprises performing a bitstream conformance process that determines whether a bitstream that comprises an encoded representation of the video data conforms to a video coding standard, wherein the bitstream conformance process determines that the bitstream does not conform to the video coding standard when at least one of: a chroma-related constraint flag is equal to 0 and when there are no chroma components for pictures in the bitstream, or an inter prediction-related constraint flag is equal to 0 when all slices of the bitstream are I slices.