Abstract: A hot-rolled steel sheet according to the present invention has a predetermined chemical composition, in which, when a height profile of a surface of the hot-rolled steel sheet is measured in each of five measurement ranges in a rolling direction and a direction perpendicular to the rolling direction, a distance in a height direction from an average height position which is an average of a height position of a point having a highest height position and a height position of a recessed part which is a point having a lowest height position to the recessed part is indicated as R1 (?m) in each of the height profiles, and an average of heights of two measurement points away from the recessed part in the rolling direction or the direction perpendicular to the rolling direction by 5 ?m is indicated as R2 (?m), an average value of radii of curvature r represented by Expression (1) is 10 ?m or more, and a tensile strength of the hot-rolled steel sheet is 500 MPa or more. r=(25+|R2?R1|2)/2|R2?R1| . . .

Abstract: This hot-rolled steel sheet has a predetermined chemical composition, has a microstructure including, by area %, residual austenite of less than 3.0%, ferrite of 15.0% or more and less than 60.0%, and pearlite of less than 5.0%, in which an entropy value obtained by analyzing an SEM image of the microstructure using a gray-level co-occurrence matrix method is 10.7 or more, an inverse difference normalized value is 1.020 or more, a cluster shade value is ?8.0×105 to 8.0×105, and a standard deviation of an Mn concentration is 0.60 mass % or less, and has a tensile strength of 980 MPa or more.

Abstract: This hot-rolled steel sheet has a predetermined chemical composition, in which a metal microstructure contains, by area %, 3.0% or more of residual austenite, has a ratio L52/L7 of a length L52 of a grain boundary having a crystal orientation difference of 52° to a length L7 of a grain boundary having a crystal orientation difference of 7° about a <110> direction of 0.10 or more and 0.18 or less, has a standard deviation of a Mn concentration of 0.60 mass % or less, and has a tensile strength of 980 MPa or more.

Abstract: A neural network update device includes a processor that includes hardware. The processor is configured to, with respect to a plurality of output data obtained as a result of inputting a plurality of training data into a neural network, compare the plurality of output data with a plurality of pieces of correct answer information allocated respectively to the plurality of training data to calculate a loss value for each of the plurality of output data, and for relevant output data, the loss value for which meets a predetermined reference, process the correct answer information corresponding to the relevant output data, or process the training data corresponding to the relevant output data, to update the neural network by using the loss value of the output data of the neural network after the processing.

Abstract: An image processing method includes generating a first augmented image by applying first data augmentation on an input image, generating a second augmented image by applying second data augmentation on the input image, generating a first output by inputting the first augmented image to a neural network, generating a second output by inputting the second augmented image to the neural network, calculating an output difference indicating a degree of difference between the first output and the second output, and updating a weight coefficient of each layer of the neural network based on the output difference.

Abstract: An information processing device includes a processor configured to acquire a document image illustrating a document, acquire a related character string associated with a target character string included in the document image, and extract target information corresponding to the target character string from a region set with reference to a position of the related character string in the document image.

Abstract: An information processing device includes a processor configured to acquire a document image illustrating a document, acquire a related character string associated with a target character string included in the document image, and extract target information corresponding to the target character string from a region set with reference to a position of the related character string in the document image.

Abstract: A learning data generating apparatus receives first training data, first correct answer information, and second training data, inputs the first and second training data into a neural network to thereby cause the neural network to output first and second array groups each constituted of a plurality of arrays, identifies a first array from the first array group based on the first correct answer information, the first array being an array corresponding to the recognition target, and compares the first array and each of the plurality of arrays constituting the second array group, to create second correct answer information corresponding to the second training data.

Abstract: This hot-rolled steel sheet has a predetermined chemical composition, in a microstructure, in terms of area %, residual austenite is less than 3.0%, ferrite is 15.0% or more and less than 60.0%, and pearlite is less than 5.0%, an E value that indicates periodicity of the microstructure is 10.7 or more, and an I value that indicates uniformity of the microstructure is 1.020 or more, a standard deviation of a Mn concentration is 0.60 mass % or less, and a tensile strength is 980 MPa or more.

Abstract: An information processing apparatus includes a processor configured to: acquire, from results of character recognition performed on a target image including character strings, attribute information indicating an attribute to which a key character string and a value character string belong, the key character string as a character string specified beforehand as a key and the value character string as a character string indicating a value corresponding to the key character string; acquire by using the attribute information the key character string corresponding to the value character string extracted from the results of the character recognition; and output the key character string and the value character string corresponding to the key character string.

Abstract: An information processing apparatus includes a processor configured to acquire a manuscript image and an additional image added to the manuscript image, and reduce an image area other than a blank area in the manuscript image so that the additional image fits in the blank area of the manuscript image.

Abstract: This hot-rolled steel sheet has a predetermined chemical composition, in a microstructure, in terms of area %, residual austenite is less than 3.0%, ferrite is 15.0% or more and less than 60.0%, and pearlite is less than 5.0%, an E value that indicates periodicity of the microstructure is 10.7 or more, and an I value that indicates uniformity of the microstructure is less than 1.020, a standard deviation of a Mn concentration is 0.60 mass % or less, and a tensile strength is 980 MPa or more.

Abstract: An image processing system includes a memory storing a training image set and a reference image set, and a processor including hardware. The processor is configured to: generate an augmented image set by applying data augmentation to images included in the training image set; and determine an augmentation parameter based on a similarity between an augmentation feature statistic and a reference feature statistic, the augmentation feature statistic being a statistic of a feature of a recognition target calculated based on the augmented image set, the reference feature statistic being a statistic of a feature of the recognition target calculated based on the reference image set.

Abstract: An information processing apparatus includes a processor configured to: acquire an image corresponding to a key character string from a target image in response to the key character string that serves as a character string specified beforehand as a key and is acquired from results of character recognition performed on the target image including character strings; extract, by using results of acquiring the image corresponding to the key character string, from the results of the character recognition a value character string that serves as a character string indicating a value corresponding to the key character string; and output the key character string and the value character string corresponding to the key character string.

Abstract: Cytotoxic T cells derived from human T cell-derived iPS cells may avoid an NK cell missing-self response and may be used for allogeneic administration while maintaining a strong antitumor effect of antigen-specific CTLs. A method may produce a cytotoxic T cell derived from a human T cell-derived iPS cell expressing HLA class I of HLA-restricted class I of an antigen epitope of a CTL and HLA-E. Such a method may include: knocking out all HLA class I of the human T cell-derived iPS cell; introducing a gene of the HLA-restricted HLA class I of the antigen epitope of the CTL and a gene of the HLA-E into the T-iPS cell in which all HLA class I have been knocked out; and redifferentiating the genetically introduced T-iPS cell into a CD8 single-positive T cell.

Abstract: This hot-rolled steel sheet has a predetermined chemical composition, in which a metallographic structure contains, by area %, less than 3.0% of residual austenite, 15.0% or more and less than 60.0% of ferrite, and less than 5.0% of pearlite, has a ratio L60/L7 of a length L60 of a grain boundary having a crystal misorientation of 60° to a length L7 of a grain boundary having a crystal misorientation of 7° about a <110> direction of 0.60 or more, has a standard deviation of a Mn concentration of 0.60 mass % or less, and has a tensile strength of 980 MPa or more.

Abstract: A hot-rolled steel sheet has, as a chemical composition, by mass %: C: 0.01% to 0.30%; Si: 0.01% to 3.00%; Mn: 0.20% to 3.00%; P: 0.030% or less; S: 0.030% or less; Al: 0.001% to 2.000%; N: 0.0100% or less; and Ni: 0.02% to 0.50%, in which among measurement points at which elemental analysis is performed at a measurement pitch of 1 ?m using an EPMA in a region of 250 ?m×250 ?m on a surface, the percentage of measurement points having a Ni content of 0.5 mass % or more is 10% to 70%.

Abstract: A learning data generating system includes a processor. The processor inputs a first image to a first neural network to generate a first feature map by the first neural network and inputs a second image to the first neural network to generate a second feature map by the first neural network. The processor generates a combined feature map by replacing a part of the first feature map with a part of the second feature map. The processor inputs the combined feature map to a second neural network to generate output information by the second neural network.

Abstract: A data processing device applies a first convolutional neural network layer to pieces of data included in a mini-batch to obtain a first feature map of each of the pieces of data, independently calculates a first statistic for each of the pieces of data based on the first feature maps, calculates a normalization parameter for each of the pieces of data based on the first statistic of each of the pieces of data and a cumulative statistic, normalizes the first feature map of each of the pieces of data by using a normalization parameter of each of the pieces of data to obtain a normalized feature map of each of the pieces of data, and applies a second convolutional neural network layer to the normalized feature map of each of the pieces of data to obtain a second feature map of each of the pieces of data.

Abstract: This hot-rolled steel sheet has a predetermined chemical composition, in which a microstructure contains, by area %, less than 3.0% of residual austenite, 15.0% or more and less than 60.0% of ferrite, and less than 5.0% of pearlite, has a ratio L60/L7 of a length L60 of a grain boundary having a crystal misorientation of 60° to a length L7 of a grain boundary having a crystal misorientation of 7° about a<110> direction of less than 0.60, has a standard deviation of a Mn concentration of 0.60 mass % or less, and has a tensile strength of 980 MPa or more.