Abstract: According to an aspect, a fluorescence detection device includes: a light source configured to irradiate a sample with excitation light in a circularly polarized state; a sample holder configured to hold the sample; a cholesteric liquid crystal layer configured to transmit fluorescence emitted by the sample due to the excitation light and reflect the excitation light; and a sensor configured to detect the fluorescence transmitted through the cholesteric liquid crystal layer.

Abstract: An information processing apparatus includes a processor configured to acquire plural scanned images obtained by scanning a bundle of paper media including a plural standard document bundles each of which is a set of a standard document and a related document related to the standard document, extract a title from the plural scanned images, extract, from the plural scanned images, an identifier that is assigned to be common within one standard document bundle and to be different between different standard document bundles, and divide the plural scanned images into bundles such that a scanned image from which the title is extracted is set as a bundle head, scanned images having the same identifier are included in the same bundle, and scanned images having different identifiers are included in different bundles.

Abstract: A vehicle lamp can include: a first light source configured to emit visible light; a reflective surface designed to reflect the visible light emitted by the first light source and form a light distribution pattern for a vehicle lamp; and a LiDAR apparatus including a second light source configured to emit light for detecting an object to be detected to be transmitted to a first detection range and a light-receiving element configured to output, when return light being reflected light of the light for detecting the object to be detected having been reflected by the object to be detected is incident to the light-receiving element, an electric signal corresponding to an intensity of the return light, in which the LiDAR apparatus is arranged.

Abstract: There is provided a vehicle lamp that can transmit light for detecting a detection object (e.g., preceding vehicle, oncoming vehicle, pedestrian, bicycle, and motorcycle) transmitted from a LiDAR apparatus to an appropriate range based on a road condition around a vehicle (and receive return light thereof). The vehicle lamp includes: a LiDAR apparatus including a light source configured to emit light for detecting a detection object transmitted to a first detection range, and a light reception element configured to output, in a case where return light as reflected light of the light for detecting the detection object reflected by the detection object enters the light reception element, an electric signal corresponding to intensity of the return light; and a light control mechanism configured to control a transmission range of the light for detecting the detection object, based on a road condition around a vehicle.

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.

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.