Abstract: The present invention provides a kit for quantitatively detecting a copy number of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The kit includes a nucleic acid extraction kit and a nucleic acid amplification kit. The nucleic acid extraction kit adopts a magnetic bead method to perform rapid nucleic acid lysis and adsorption on a sample. The nucleic acid amplification kit adopts a fluorescence quantitative RT-PCR technology for quantitative analysis. Meanwhile, optimal primer and probe sequences are designed, and a pseudotype virus containing SARS-CoV-2 and HCV gene fragments is used as a standard.

Abstract: A computing device performs a method of decoding video data by acquiring a video bitstream including data associated with multiple encoded pictures, each picture including multiple rows of coding tree units (CTUs) and each CTU including one or more coding units (CUs). A data buffer storing a plurality of history-based motion vector predictors is used for encoding the rows of CTUs and the decoding process resets the buffer before decoding a first CU of a current row of CTUs. For a current CU of the row of CTUs, a motion vector candidate list is constructed from exploiting spatial and temporal correlation of motion vectors of neighbouring code units as well as the history-based motion vector predictors in the buffer. Finally, one motion vector predictor is selected, from the motion vector candidate list, for decoding the current CU and the buffer is updated based on the selected one.

Abstract: A method for printing on a substrate includes printing a support structure by printing a liquid precursor material and curing the liquid precursor material, positioning a substrate within the support structure, printing one or more anchors on the substrate and the support structure by printing and curing the liquid precursor material to secure the substrate to the support structure, and printing one or more device structures on the substrate while anchored by printing and curing the liquid precursor material.

Abstract: An electronic apparatus performs a method of decoding video data. The method comprises: receiving the video signal that includes a first component and a second component; receiving a plurality of offsets associated with the second component; utilizing a sample value of the first component to obtain a classifier associated with the second component; dividing a range of the sample value of the first component into several bands based on the classifier; selecting a band based on an intensity value of the sample value of the first component; selecting an offset from the plurality of offsets for the second component according to the selected band; and modifying the second component based on the selected offset.

Abstract: A method for video coding is provided. The method may include: identifying motion vectors (MVs) and control point motion vectors (CPMVs) for spatial MV prediction and affine motion inheritance, respectively; converting the MVs and the CPMVs into a mantissa-exponent format; and storing mantissa-exponent representations of the MVs and the CPMVs in a memory.

Abstract: An elevating mechanism includes a base member, a first movable member, a second movable member, a first magnetic member, and a second magnetic member, the first movable member is movably disposed on the base member, the second movable member is movably disposed on the base member, the first magnetic member disposed on the first movable member, the second magnetic member corresponds to the first magnetic member and is disposed on the second movable member, when the second movable member is in a holding position, the first magnetic member and the second magnetic member are attracted to each other.

Abstract: A computing device performs a method of decoding video data by reconstructing a luma block corresponding to a chroma block; searching a sub-group of a plurality of reconstructed neighboring luma samples in a predefined order to identify a maximum luma sample and a minimum luma sample; computing a down-sampled maximum luma sample corresponding to the maximum luma sample; computing a down-sampled minimum luma sample corresponding to the minimum luma sample; generating a linear model using the down-sampled maximum luma sample, the down-sampled minimum luma sample, the first reconstructed chroma sample, and the second reconstructed chroma sample; computing down-sampled luma samples from luma samples of the reconstructed luma block, wherein each down-sampled luma sample corresponds to a chroma sample of the chroma block; and predicting chroma samples of the chroma block by applying the liner model to the corresponding down-sampled luma samples.

Abstract: An electronic apparatus performs a method of decoding video data. The method includes receiving, from a video bitstream having a hierarchical structure, a first syntax element associated with a first level of the hierarchical structure, in accordance with a determination that the first syntax element indicates that a Cross-Component Sample Adaptive Offset (CCSAO) filter information is present in the first level, reconstructing, from the video bitstream, one or more regions under the first level jointly according to the CCSAO filter information, and in accordance with a determination that the first syntax element indicates that the CCSAO filter information is not present in the first level, reconstructing, from the video bitstream, the one or more regions separately according to the CCSAO filter information present in a second level of the hierarchical structure.

Abstract: Systems and methods executed by a processor of user equipment for ensuring a user receives scheduled notifications are disclosed. Various embodiments may include determining a current exercise performed by the user, determining a target breathing pattern appropriate for the current exercise performed by the user, monitoring a current breathing pattern of the user while performing the current exercise based on inputs from a respiratory sensor, determining differences between the target breathing pattern appropriate for the current exercise performed by the user and the current breathing pattern of the user, and providing information to the user regarding determined differences between the target breathing pattern appropriate for the current exercise performed by the user and the current breathing pattern of the user.

Abstract: A computing device performs a method of decoding video data by acquiring a video bitstream including data associated with multiple encoded pictures, each picture including multiple rows of coding tree units (CTUs) and each CTU including one or more coding units (CUs). A data buffer storing a plurality of history-based motion vector predictors is used for encoding the rows of CTUs and the decoding process resets the buffer before decoding a first CU of a current row of CTUs. For a current CU of the row of CTUs, a motion vector candidate list is constructed from exploiting spatial and temporal correlation of motion vectors of neighbouring code units as well as the history-based motion vector predictors in the buffer. Finally, one motion vector predictor is selected, from the motion vector candidate list, for decoding the current CU and the buffer is updated based on the selected one.

Abstract: A backlight module including a light guide plate, a circuit board, an electronic component, a reflective sheet, a light-shielding sheet, and a light-emitting component is provided. The light guide plate includes an escape opening and a light-source opening. The circuit board is disposed under the light guide plate. The electronic component is electrically connected to the circuit board, and at least a part of the electronic component is located in the escape opening. The reflective sheet is disposed on a rear surface of the light guide plate and between the light guide plate and the circuit board. The light-shielding sheet is disposed on a light emitting surface of the light guide plate opposite to the rear surface. The light-emitting component is disposed in the light-source opening. A luminous keyboard using this backlight module is also provided.

Abstract: A method and an apparatus for image filtering in video coding using a neural network are provided. The method includes: loading a plurality of input patches associated with a current image to be coded, where the plurality of input patches include a first input patch with a first resolution, a second input patch with a second resolution, and a third input patch with a third resolution; and in response to determining that one resolution in the first resolution, the second resolution, and the third resolution is different from the other two resolutions, adjusting the first resolution, the second resolution, and the third resolution at one region of a plurality of regions before the neural network or in the neural network.

Abstract: A supporting device for supporting a display is provided. The supporting device includes an upright, a bearing slider, an actuating module, a driving module, and a control module. The upright includes a column body and a receiving space. The bearing slider is slidably disposed in the receiving space. The actuating module includes a screw rod and a screwing element, the screw rod is pivoted to the upright along a first axis and inserted to the screwing element, and the screwing element is disposed on the bearing slider and screws with the screw rod. The driving module is connected to the actuating module and drives the screw rod to rotate about the first axis. The control module controls the driving module to drive the screw rod to rotate to make the screwing element and the bearing slider move between a highest position and a lowest position along the first axis.

Abstract: The present disclosure relates to a method for deriving constructed affine merge candidates. The method includes encoding, by an encoder, a regular merge flag for a coding unit (CU) that is coded as merge mode and merge related modes; in response to determining that the regular merge flag is encoded as one, indicating that a regular merge mode or merge mode with motion vector differences (MMVD) is used by the CU, constructing, by the encoder, a motion vector merge list for the CU and using regular merge index to indicate which candidate is used; and in response to determining that the regular merge flag is encoded as zero, indicating the regular merge mode is not used by the CU, and further encoding, by the encoder, mode flags to indicate associated merge related modes are used in response to determining that a mode flag's constraints are met.

Abstract: A supporting device is provided. The supporting device is set on a working surface for bearing a display. The supporting device comprises a base and an upright, wherein the base includes a stationary housing, a rotating element, a first gear, a second gear, a driving module, and a controlling module. The stationary housing is disposed on the working surface; the rotating element is rotatably disposed on the stationary housing and co-defines an accommodating space with the stationary housing. The first gear is disposed in the accommodating space; the second gear is also disposed in the accommodating space and is engaged to the first gear. The driving module is connected to the second gear for driving the second gear; the controlling module is electrically connected to the driving module. The upright moves together with the rotating element, the second gear, and the driving module in a circumferential direction with respect to the first gear while the driving module is controlled by the controlling module.

Abstract: A foldable electronic device includes a frame, a flexible component disposed on the frame, and a hinge device. The hinge device includes a chain and at least one elastic padding. The chain is connected to the frame and includes a plurality of chain units. The elastic padding is disposed in at least one of the chain units or encapsulates at least one of the chain units.

Abstract: An electronic apparatus performs a method of decoding video data. The method includes: receiving, from the video signal, a picture frame that includes a first component and a second component; reconstructing samples of the first component through a first in-loop filter; reconstructing samples of the second component through a second in-loop filter; determining a classifier for the first component from one or more reconstructed samples of the second component relative to a respective reconstructed sample of the first component; selecting a first sample offset for the respective reconstructed sample of the first component according to the classifier; applying a plurality of filters in parallel with the selection of the first sample offset to obtain a plurality of parallel offsets; and clipping an output of a combination of the respective reconstructed sample of the first component, the first sample offset, and the plurality of parallel offsets from the plurality of filters.

Abstract: An electronic apparatus performs a method of decoding video data, including: reconstructing, from a video bitstream, a picture frame that includes a luma component, a first and a second chroma components, and applying a trained neural network based in-loop filter to the reconstructed picture frame by: converting a first resolution of the samples of the at least one of the first and the second chroma components to a second resolution of the samples of the luma component when the first resolution is different from the second resolution; concatenating samples of at least one of the first and the second chroma components with the luma component; processing the concatenated samples using a convolutional neural network; and reconverting the samples of the at least one of the first and the second chroma components processed by the convolutional neural network from the second resolution back to the first resolution.

Abstract: A device for encoding video data includes a memory configured to store video data, and a video encoder implemented in circuitry and configured to encode a future picture of the video data having a first display order position, the future picture being included in an intra period (IP) of the video data, the IP comprising a plurality of groups of pictures (GOPs), and after encoding the future picture, encode a picture of an ordinal first GOP of the plurality of GOPs using the future picture as a reference picture, each picture of the ordinal first GOP having display order positions earlier than the first display order position. Encoding the future picture in this manner may result in encoding performance improvements with minimal increases in encoding and decoding complexity.