Abstract: Disclosed in the present disclosure is an S32750 austenitic ferrite super duplex stainless steel seamless pipe for a deep sea manifold and a method for preparing the same. The stainless steel seamless pipe includes the following components in percentage by mass: less than or equal to 0.03% of C, less than or equal to 0.80% of Si, less than or equal to 1.20% of Mn, less than or equal to 0.035% of P, less than or equal to 0.01% of S, 24.0-26.0% of Cr, 6.0-8.0% of Ni, 3.0-5.0% of Mo, less than or equal to 0.50% of Cu, 0.24-0.32% of N, 0.012-0.018% of Al, and the balance of Fe and impurities. The ferrite content of the stainless steel seamless pipe is 40-60%, and 41?PREN<45. The stainless steel seamless pipe is prepared by metal collaborative design, smelting, pouring, forging, hot piercing and cold working.

Abstract: Provided are a file sending method, a file receiving method, and a file transceiving apparatus. The file sending method includes: creating a data sending process; acquiring a file to be sent, corresponding to the data sending process, from a data cache region in a user space; constructing metadata for the data sending process, and recording the metadata in a data reading and sending region in the user space; and sending the file to be sent and the metadata to a network adapter by means of a user-mode network device driver, and sending the file to be sent and the metadata by means of the network adapter.

Abstract: Disclosed are a method and an apparatus for designing a magnetic shielding apparatus and a magnetic shielding apparatus. The method includes: determining a region of interest inside the magnetic shielding apparatus, the region of interest being a region where a magnetic shielding effect is expected to be achieved, and the magnetic shielding apparatus including N layers of shields disposed in a nested manner; determining a complete parameter set; and obtaining, based on the complete parameter set, a set of result parameters for describing the geometric structure, the set of result parameters that enables magnetic flux density in the region of interest to meet a preset threshold. This method not only greatly improves optimized magnetic shielding performance compared with an equal-spacing solution, but also resolves a problem that an analytical method cannot be used to optimize a magnetic shielding apparatus with a non-concentric structure.

Abstract: The technology disclosed relates to training a pathogenicity predictor.

Abstract: The technology disclosed relates to determining pathogenicity of nucleotide variants. In particular, the technology disclosed relates to specifying a particular amino acid at a particular position in a protein as a gap amino acid, and specifying remaining amino acids at remaining positions in the protein as non-gap amino acids, generating a gapped spatial representation of the protein that includes spatial configurations of the non-gap amino acids, and excludes a spatial configuration of the gap amino acid, determining an evolutionary conservation at the particular position of respective amino acids of respective amino acid classes based at least in part on the gapped spatial representation, and based at least in part on the evolutionary conservation of the respective amino acids, determining a pathogenicity of respective nucleotide variants that respectively substitute the particular amino acid with the respective amino acids in alternate representations of the protein.

Abstract: A circuit board includes a first layer, a second layer, a third layer, a plurality of plating through holes, at least one first intermediate layer and at least one second intermediate layer. The first layer and the second layer are used as reference voltage planes. A plurality of transmission wires are disposed on the third layer. The transmission wires are coupled to a wireless signal transceiver and a plurality of antenna arrays; wherein the third layer is disposed between the first layer and the second layer. The plating through holes are disposed at sides of the third layer, wherein the plurality of plating through holes are configured to connect the first reference voltage plane with the second reference voltage plane. The first intermediate layer is disposed between the first layer and the third layer, and the second intermediate layer is disposed between the second layer and the third layer.

Abstract: An integrated circuit (IC) device includes a circuit region, a lower metal layer over the circuit region, and an upper metal layer over the lower metal layer. The lower metal layer includes a plurality of lower conductive patterns elongated along a first axis. The upper metal layer includes a plurality of upper conductive patterns elongated along a second axis transverse to the first axis. The plurality of upper conductive patterns includes at least one input or output configured to electrically couple the circuit region to external circuitry outside the circuit region. The upper metal layer further includes a first lateral upper conductive pattern contiguous with and projecting, along the first axis, from a first upper conductive pattern among the plurality of upper conductive patterns. The first lateral upper conductive pattern is over and electrically coupled to a first lower conductive pattern among the plurality of lower conductive patterns.

Abstract: An integrated circuit (IC) includes a first, second and third semiconductor cell regions. The first cell region includes a first active region having a first dopant type. The second semiconductor cell region abuts the first cell region in a second direction, and includes second and third active regions having correspondingly a second dopant type and the first dopant type. The second active region is between the first and third active regions. The third cell region abuts the second cell region in the second direction, and includes a fourth active region having the second dopant type. The third active region is between the fourth active region and the second active region. The second semiconductor cell region has a height 2H, and the first, second and third semiconductor cell regions collectively have a height 3H.

Abstract: The technology disclosed describes determination of which elements of a sequence are nearest to uniformly spaced cells in a grid, where the elements have element coordinates, and the cells have dimension-wise cell indices and cell coordinates. The determination includes generating an element-to-cells mapping that maps, to each of the elements, a subset of the cells. The subset of the cells mapped to a particular element in the sequence includes a nearest cell in the grid and one or more neighborhood cells in the grid, and the nearest cell is selected based on matching element coordinates of the particular element to the cell coordinates. The determination further includes generating a cell-to-elements mapping that maps, to each of the cells, a subset of the elements, and using the cell-to-elements mapping to determine, for each of the cells, a nearest element in the sequence.

Abstract: The technology disclosed relates to a variant pathogenicity classifier. The variant pathogenicity classifier comprises memory and runtime logic. The memory stores (i) a reference amino acid sequence of a protein, (ii) an alternative amino acid sequence of the protein that contains a variant amino acid caused by a variant nucleotide, and (iii) a protein contact map of the protein. The runtime logic has access to the memory, and is configured to provide (i) the reference amino acid sequence, (ii) the alternative amino acid sequence, and (iii) the protein contact map as input to a first neural network, and to cause the first neural network to generate a pathogenicity indication of the variant amino acid as output in response to processing (i) the reference amino acid sequence, (ii) the alternative amino acid sequence, and (iii) the protein contact map.

Abstract: The technology disclosed relates to a variant pathogenicity prediction network. The variant pathogenicity classifier includes memory, a variant encoding sub-network, a protein contact map generation sub-network, and a pathogenicity scoring sub-network. The memory stores a reference amino acid sequence of a protein, and an alternative amino acid sequence of the protein that contains a variant amino acid caused by a variant nucleotide. The variant encoding sub-network is configured to process the alternative amino acid sequence, and generate a processed representation of the alternative amino acid sequence. The protein contact map generation sub-network is configured to process the reference amino acid sequence and the processed representation of the alternative amino acid sequence, and generate a protein contact map of the protein. The pathogenicity scoring sub-network is configured to process the protein contact map, and generate a pathogenicity indication of the variant amino acid.

Abstract: A substrate support structure includes a substrate support structure body formed from a ceramic composite and having a first surface, a second surface spaced apart from the first surface, and a periphery spanning the first surface and the second surface of the substrate support structure body. The first surface, the second surface, and the periphery of the substrate support structure body are defined by the ceramic composite. The ceramic composite includes two or more of a (a) an aluminum nitride (AlN) constituent, (b) an aluminum oxynitride (Al2.81O3.56N0.44, AlON) constituent, (c) an alpha-alumina (?-Al2O3) constituent, (d) a yttrium alumina garnet (Y3Al5O12, YAG) constituent, (e) a yttrium alumina monoclinic (Y4Al2O9, YAM) constituent, (f) a yttrium alumina perovskite (YAlO3, YAP) constituent, and (g) a yttrium oxide (Y2O3) constituent. Semiconductor processing systems and methods of making substrate support structures are also described.

Abstract: Electrostatic chucks and methods of using electrostatic chucks are disclosed. Exemplary electrostatic chucks include a ceramic body, a heating element embedded within the ceramic body, and two or more temperature measurement devices embedded within the ceramic body. Exemplary methods include measuring temperatures within the electrostatic chuck using two or more vertically spaced-apart temperature measurement devices.

Abstract: The technology disclosed relates to determining pathogenicity of nucleotide variants. In particular, the technology disclosed relates to specifying a particular amino acid at a particular position in a protein as a gap amino acid, and specifying remaining amino acids at remaining positions in the protein as non-gap amino acids. The technology disclosed further relates to generating a gapped spatial representation of the protein that includes spatial configurations of the non-gap amino acids, and excludes a spatial configuration of the gap amino acid, and determining a pathogenicity of a nucleotide variant based at least in part on the gapped spatial representation, and a representation of an alternate amino acid created by the nucleotide variant at the particular position.

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 non-transitory computer-readable storage medium storing a machine learning program that causes at least one computer to execute a process, the process includes acquiring a calculation amount of each partial network of a plurality of partial networks that is included in a neural network; determining a target channel based on the calculation amount of the each partial network and a scaling coefficient of each channel in a batch normalization layer included in the each partial network; and deleting the target channel.

Abstract: Provided are a metadata processing method and apparatus, and a computer-readable storage medium. In the metadata processing method, a management server obtains metadata to be processed, wherein the metadata to be processed includes a directory structure and file attributes; and according to a load condition of at least one first node for storing the file attributes and based on a rule that file attributes of a same directory are stored in a same first node, the management server stores, in the at least one first node, the file attributes of directories in the directory structure in a distributed manner.

Abstract: A system includes at least a voxelizer, an alternative allele encoder, an evolutionary conservation encoder, and a convolutional neural network. The voxelizer accesses a three-dimensional structure of a reference amino acid sequence of a protein and fits a three-dimensional grid of voxels on atoms in the three-dimensional structure on an amino acid-basis to generate amino acid-wise distance channels. The alternative allele encoder encodes an alternative allele sequence to each voxel in the three-dimensional grid of voxels. The evolutionary conservation encoder encodes an evolutionary conservation sequence to each voxel in the three-dimensional grid of voxels. The convolutional neural network applies three-dimensional convolutions to a tensor that includes the amino acid-wise distance channels encoded with the alternative allele sequence and respective evolutionary conservation sequences and determines a pathogenicity of a variant nucleotide based at least in part on the tensor.

Abstract: The technology disclosed relates to efficiently determining which atoms in a protein are nearest to voxels in a grid. The atoms have three-dimensional (3D) atom coordinates, and the voxels have 3D voxel coordinates. The technology disclosed generates an atom-to-voxels mapping that maps, to each of the atoms, a containing voxel selected based on matching 3D atom coordinates of a particular atom of the protein to the 3D voxel coordinates in the grid. The technology disclosed generates a voxel-to-atoms mapping that maps, to each of the voxels, a subset of the atoms. The subset of the atoms mapped to a particular voxel in the grid includes those atoms in the protein that are mapped to the particular voxel by the atom-to-voxels mapping. The technology disclosed includes using the voxel-to-atoms mapping to determine, for each of the voxels, a nearest atom in the protein.