Abstract: The technology disclosed relates to determining pathogenicity of variants. In particular, the technology disclosed relates to generating amino acid-wise distance channels for a plurality of amino acids in a protein. Each of the amino acid-wise distance channels has voxel-wise distance values for voxels in a plurality of voxels. A tensor includes the amino acid-wise distance channels and at least an alternative allele of the protein expressed by a variant. A deep convolutional neural network determines a pathogenicity of the variant based at least in part on processing the tensor. The technology disclosed further augments the tensor with supplemental information like a reference allele of the protein, evolutionary conservation data about the protein, annotation data about the protein, and structure confidence data about the protein.

Abstract: The technology disclosed relates to determining pathogenicity of variants. In particular, the technology disclosed relates to generating amino acid-wise distance channels for a plurality of amino acids in a protein. Each of the amino acid-wise distance channels has voxel-wise distance values for voxels in a plurality of voxels. A tensor includes the amino acid-wise distance channels and at least an alternative allele of the protein expressed by a variant. A deep convolutional neural network determines a pathogenicity of the variant based at least in part on processing the tensor. The technology disclosed further augments the tensor with supplemental information like a reference allele of the protein, evolutionary conservation data about the protein, annotation data about the protein, and structure confidence data about the protein.

Abstract: A common mode filter is disposed on a circuit board. A signal layer of the circuit board has a differential signal wire pair. The common mode filter has a slot structure and a filtering frequency adjusting device. The slot structure is formed on a reference voltage layer of the circuit board, wherein the slot structure surrounds the differential signal wire pair. The filtering frequency adjusting device is disposed on a corner part of the slot structure, wherein the filtering frequency adjusting device includes at least one of at least one capacitor and at least one inductor, and is disposed on the circuit board across the differential signal wire pair.

Abstract: A common mode filter is disposed on a circuit board. A signal layer of the circuit board has a differential signal wire pair. The common mode filter has a slot structure and a filtering frequency adjusting device. The slot structure is formed on a reference voltage layer of the circuit board, wherein the slot structure surrounds the differential signal wire pair. The filtering frequency adjusting device is disposed on a corner part of the slot structure, wherein the filtering frequency adjusting device includes at least one of at least one capacitor and at least one inductor, and is disposed on the circuit board across the differential signal wire pair.

Abstract: An electronic device and a method of controlling a screen of the electronic device, and a storage medium. The electronic device includes a screen including at least one multiplexing function region; a function module disposed below the screen, a location of the function module corresponds to a location of the at least one multiplexing function region; controlling the at least one multiplexing function region to be in a first state when receiving a startup instruction of the function module, so that the function module transmits a signal through the at least one multiplexing function region.

Abstract: A display panel, an electronic device and a method of fabricating thereof. The display panel is a laminated structure comprising a substrate, a thin film transistor layer on the substrate, a pixel defining layer on the thin film transistor layer, and a light emitting structure on the pixel defining layer. The light emitting structure comprises a plurality of transparent regions and a plurality of light emitting regions disposed at intervals, the transparent regions correspond to light sensors. The light emitting structure comprises a first light extraction layer disposed in the transparent region.

Abstract: The technology disclosed relates to constructing a computer-implemented method for variant classification. In particular, the method includes using a pathogenicity prediction neural network to process as input, (i) a reference protein sequence that has a first chain of amino acids with at least twenty amino acids, (ii) an alternative protein sequence aligned with the reference sequence, where the alternative protein sequence has a second chain of amino acids with at least twenty amino acids, and the first and second chains of amino acids differ by a variant amino acid caused by a nucleotide substitution, and (iii) a primate conservation profile generated using a primate cross-species multiple sequence alignment that aligns the reference protein sequence with other protein sequences from primate species. The method further includes based on the processing of the input by the neural network, generating as output a pathogenicity prediction for the nucleotide substitution.

Abstract: A display panel and a display device are provided. The display panel includes a display region and a sensor region. The sensor region is provided with multiple sensors in the display panel. Multiple first pixels are arranged in the display region. The first pixels are arranged as a first array in the display region. Multiple second pixels are arranged in the sensor region, and the second pixels are arranged as a second array in the sensor region. A pixel unit area of the first array is equal to a pixel unit area of the second array, and the pixel unit area is a number of the pixels multiplied by an area of each pixel in a unit area. The display device includes the display panel and the sensors. The sensors are disposed on one side of the display panel.

Abstract: Embodiments of the disclosure provide a method and system of interpreting HL7 segments of an HL7 message. The method includes: electronically obtaining and interpreting a grammar definition to determine a prescribed hierarchy of HL7 segment definitions; creating a resulting segment hierarchy data structure, the resulting segment hierarchy data structure comprising a top segment; performing steps: (a) obtaining an HL7 segment from a plurality of HL7 segments in the HL7 message, (b) determining a parent-child relationship for the HL7 segment, and (c) adding the HL7 segment to the resulting segment hierarchy data structure; and, continuing to perform steps (a), (b), and (c) on remaining HL7 segments of the plurality of HL7 segments until all HL7 segments of the HL7 message have been added to the resulting segment hierarchy data structure.

Abstract: Electrostatic chucks and methods of forming electrostatic chucks are disclosed. Exemplary electrostatic chucks include a ceramic body, a device embedded within the ceramic body, and an interface layer formed overlying the device. Exemplary methods include providing ceramic precursor material within a mold, providing a device, coating the device with an interface material to form a coated device, placing the coated device on or within the ceramic precursor material, and sintering the ceramic precursor material to form the electrostatic chuck and an interface layer between the device and ceramic material formed during the step of sintering.

Abstract: The technology disclosed relates to constructing a convolutional neural network-based classifier for variant classification. In particular, it relates to training a convolutional neural network-based classifier on training data using a backpropagation-based gradient update technique that progressively match outputs of the convolutional neural network-based classifier with corresponding ground truth labels. The convolutional neural network-based classifier comprises groups of residual blocks, each group of residual blocks is parameterized by a number of convolution filters in the residual blocks, a convolution window size of the residual blocks, and an atrous convolution rate of the residual blocks, the size of convolution window varies between groups of residual blocks, the atrous convolution rate varies between groups of residual blocks. The training data includes benign training examples and pathogenic training examples of translated sequence pairs generated from benign variants and pathogenic variants.

Abstract: A flexible display panel and a method of fabricating the same are provided. The flexible display panel has a display region and a bending region. The flexible display panel has a substrate, an organic pattern layer, layered structures, first holes, and second holes. The organic pattern layer is at the bending region and disposed on the substrate. The layered structures cover the organic pattern layer and the substrate located at the display region. The first holes pass through the layered structures and the organic pattern layer located at the bending region. The second holes pass through the layered structures located at the display region, wherein the second holes are adjacent to the bending region. When the bending portion is bent, the flexible display panel has a specific bending shape by disposing an organic pattern layer. Further, the first holes and the second holes are formed to balance stress.

Abstract: The present invention provides an organic light emitting diode (OLED) display panel and an intelligent terminal, including: an electronic element region in which sensor elements are disposed; and a pixel region provided with at least one light transmissive region. The electronic element region is arranged corresponding to the at least one light transmissive region, multiple sub-pixels are arranged in the pixel region. Pixel density of the sub-pixels is gradually decreased along a direction toward a center of the pixel region.

Abstract: A display device is disclosed, including: a back plate, a display module disposed on a side of the back plate, a cover plate disposed on a side of the display module away from the back plate, and a buffer layer disposed on a side of the back plate away from the cover plate. Wherein, the buffer layer includes at least one of at least one first sub-buffer layer, at least one second sub-buffer layer, and at least one third sub-buffer layer. The first sub-buffer layer is made of a foamed material with a completely closed hole structure, the second sub-buffer layer is made of a foamed material with a half-open and half-closed hole structure, and the third sub-buffer layer is made of a foamed material with a completely open hole structure.

Abstract: A method of treating an inflammatory disorder in a subject, comprising administering to a subject in need thereof a nucleic acid molecule for inhibiting the expression of Hom-1.

Abstract: An information processing apparatus, includes a computation processing device that includes a memory and a processor coupled to the memory; and a storage device that stores a program, and wherein the processor is configured to: store, in the memory, a first storage area for first data that is assigned to a computation target by data definition for the computation target written in the program and a second storage area for second data that is assigned to the computation target instead of the first data, simplify the program, when the data definition for the computation target is omitted by executing the simplified program, output the second data, and perform the computation by using the output second data.

Abstract: Systems, computer-implemented methods, and non-transitory computer readable media are provided for sharing medical data. The disclosed systems may be configured to create a first workgroup having a first knowledgebase. This first knowledgebase may be federated with a common knowledgebase, and with a second knowledgebase of a second workgroup. At least one of the first knowledgebase, common knowledgebase, and second knowledgebase may be configured to store data items comprising associations, signs, and evidence. The signs may comprise measurements and contexts, and the associations may describe the relationships between the measurements and contexts. The evidence may support these associations. The disclosed systems may be configured to receive a request from a user in the first workgroup, retrieve matching data items, and optionally then output to the user at least some of the retrieved matching data items. The request may comprise at least one of a first association and a first measurement.

Abstract: A power supply apparatus includes, a power generating circuit that converts energy to power and output a voltage of the power, a first switch installed on either or both of a pair of power lines, a first switch control circuit that controls the first switch based on the level of the voltage, a second switch installed on a branched line coupled to the pair of power lines, a second switch control circuit that controls the second switch based on the level of the voltage, and controls the second switch so that the second switch is repeatedly turned on and off when a power storage circuit is charged with power generated by the power generating circuit, and the power storage circuit installed on the branched line and coupled to the power generating circuit when the first switch and the second switch are set to ON states.

Abstract: A wear leveling and access method and device for a non-volatile memory, and a storage medium. The method includes: logically dividing a non-volatile memory into physical units of p levels, the non-volatile memory including a plurality of physical units of the first level, each physical unit of the p?1-th level including a plurality of physical units of the p-th level, and p being a positive integer greater than one (S110); when a time period corresponding to the physical units of the q-th level arrives, replacing the data of each of the physical units of the q-th level with other physical units of the q-th level, q being any positive integer from one to p (S120).

Abstract: The technology disclosed relates to constructing a convolutional neural network-based classifier for variant classification. In particular, it relates to training a convolutional neural network-based classifier on training data using a backpropagation-based gradient update technique that progressively match outputs of the convolutional neural network-based classifier with corresponding ground truth labels. The convolutional neural network-based classifier comprises groups of residual blocks, each group of residual blocks is parameterized by a number of convolution filters in the residual blocks, a convolution window size of the residual blocks, and an atrous convolution rate of the residual blocks, the size of convolution window varies between groups of residual blocks, the atrous convolution rate varies between groups of residual blocks. The training data includes benign training examples and pathogenic training examples of translated sequence pairs generated from benign variants and pathogenic variants.