Abstract: Adopted are a steel sheet contains, as a chemical composition, by mass %, C: 0.040% to 0.105%, Mn: 1.00% to 2.30%, Si: 0.005% to 1.500%, Al: 0.005% to 0.700%, P: 0.100% or less, S: 0.0200% or less, N: 0.0150% or less, O: 0.0100% or less, and a remainder: Fe and impurities, in which ?C that is calculated from C20, which is a C content at a 20 ?m depth position from a surface, C60, which is a C content at a 60 ?m depth position from the surface, and the following expression (1) is in a range of 0.20 to 0.90 mass %/mm, and a press-formed article that is obtained by press-forming the steel sheet. ? ? C = ( C 60 - C 2 ? 0 ) / ( 0.

Abstract: A substrate processing apparatus includes: a processing tank configured to store a solution capable of processing a substrate; a supply configured to supply the solution to the processing tank; a holding member having an openable and closable support portion capable of sandwiching the substrate, the holding member configured to hold the substrate in the processing tank; a first drive mechanism configured to move the holding member in a first direction along a substrate surface; and a guide disposed between the support portion and the supply in the processing tank and configured to guide a rotational movement of the substrate in the first direction.

Abstract: As an example of an EC element in which vertical color separation is suppressed, the present disclosure provides an EC element including a pair of electrodes, a solvent, an anodic EC compound, and a cathodic EC compound. In the EC element, the difference between a solvation free energy of an oxidized form of the anodic EC compound in water and a solvation free energy of the oxidized form in octanol is 35 kcal/mol or more, and the cathodic EC compound has a substituent containing any one element selected from halogens, sulfur, boron, phosphorus, and silicon.

Abstract: An object of one embodiment of the present invention is to provide a multicolor light-emitting element that utilizes fluorescence and phosphorescence and is advantageous for practical application. The light-emitting element has a stacked-layer structure of a first light-emitting layer containing a host material and a fluorescent substance, a separation layer containing a substance having a hole-transport property and a substance having an electron-transport property, and a second light-emitting layer containing two kinds of organic compounds that form an exciplex and a substance that can convert triplet excitation energy into luminescence. Note that a light-emitting element in which light emitted from the first light-emitting layer has an emission spectrum peak on the shorter wavelength side than an emission spectrum peak of the second light-emitting layer is more effective.

Abstract: An information processing device (30) includes a signal acquisition unit (31), a passive depth estimation unit (34), and a fusion unit (35). The signal acquisition unit (31) extracts, from light reception data, active information indicating a flight time of reference light (PL) and passive information (PI) indicating two-dimensional image information of a subject (SU) obtained from ambient light (EL). The passive depth estimation unit (34) generates passive depth information (PDI) based on the passive information (PI). The fusion unit (35) fuses the passive depth information (PDI) with active depth information (ADI) generated based on the active information to generate depth information (DI) of the subject (SU).

Abstract: An information processing apparatus according to an embodiment of the present technology includes: an acquisition unit; an inversion unit; and a generation unit. The acquisition unit acquires sequence information relating to a genome sequence. The inversion unit generates, on the basis of the sequence information, inversion information in which the sequence is inverted. The generation unit generates, on the basis of the inversion information, protein information relating to a protein. In this information processing apparatus, sequence information relating to a genome sequence is acquired by the acquisition unit. Further, inversion information in which the sequence is inverted is generated by the inversion unit on the basis of the sequence information. Further, protein information relating to a protein is generated by the generation unit on the basis of the inversion information. As a result, it is possible to predict information relating to a protein with high accuracy.

Abstract: A method for obtaining image data of a subject, including; a first scanning step including a plurality of steps W, each step W being a step of determining one place existing in a one-dimensional, two-dimensional, or three-dimensional first space; and a second scanning step of scanning insides of second spaces including at least one of the places, wherein the second scanning step includes a step X of randomly determining a location of an observation point and a step Y of obtaining a piece of image data for the observation point, and, at a time point of end of scanning an inside of one of the second spaces, the second space has a first region including 50% of observation points and a second region existing outside the first region and including remaining 50% of the observation points, the second region being larger than the first region by at least 15%.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes an MRI system and a processing circuitry. The MRI system includes a receiving coil to receive a magnetic resonance signal. The processing circuitry is configured to generate an image based on the magnetic resonance signal, the image including a plurality of pixels; calculate a feature value corresponding to a signal value of the pixel; correct the feature values based on a sensitivity of the receiving coil; and reduce noise in the image based on distribution of the corrected feature values.

Abstract: An information processing apparatus (1) according to the present disclosure includes an estimation unit (first MV estimation unit 3 and second MV estimation unit 4) and a correction unit (high-precision restoration unit 7). The estimation unit (first MV estimation unit 3 and second MV estimation unit 4) estimates a motion vector of a distance measurement target based on distance information on a distance to the distance measurement target input from a distance measuring device that measures the distance to the distance measurement target and motion information of the distance measuring device input from a motion detection device that detects a motion of the distance measuring device. The correction unit (high-precision restoration unit 7) corrects the distance information based on the motion vector of the distance measurement target estimated by the estimation unit (first MV estimation unit 3 and second MV estimation unit 4).

Abstract: Provided is an image processing apparatus that includes an image processing section that executes filter processing using a filter coefficient. The filter coefficient is set at least on the basis of a detection result for details based on a first image and a detection result of detection of a disturbance performed on a second image.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes an MRI system and a processing circuitry. The MRI system includes a receiving coil to receive a magnetic resonance signal. The processing circuitry is configured to generate an image based on the magnetic resonance signal, the image including a plurality of pixels; calculate a feature value corresponding to a signal value of the pixel; correct the feature values based on a sensitivity of the receiving coil; and reduce noise in the image based on distribution of the corrected feature values.

Abstract: A transmittance estimation unit estimates a transmittance for each of regions from a captured image. The transmittance estimation unit estimates the transmittance for each pixel, using, for example, dark channel processing. A transmittance detection unit detects a transmittance of haze at the time of imaging of the captured image, using the transmittance estimated for each pixel by the transmittance estimation unit and depth information for each pixel. The transmittance detection unit detects the transmittance of the haze on the basis of, for example, a logarithm average value of the transmittances in the whole or a predetermined portion of the captured image, and an average value of depths indicated by the depth information.

Abstract: A method for obtaining image data of a subject, including; a first scanning step including a plurality of steps W, each step W being a step of determining one place existing in a one-dimensional, two-dimensional, or three-dimensional first space; and a second scanning step of scanning insides of second spaces including at least one of the places, wherein the second scanning step includes a step X of randomly determining a location of an observation point and a step Y of obtaining a piece of image data for the observation point, and, at a time point of end of scanning an inside of one of the second spaces, the second space has a first region including 50% of observation points and a second region existing outside the first region and including remaining 50% of the observation points, the second region being larger than the first region by at least 15%.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes an MRI system and a processing circuitry. The MRI system includes a receiving coil to receive a magnetic resonance signal. The processing circuitry is configured to generate an image based on the magnetic resonance signal, the image including a plurality of pixels; calculate a feature value corresponding to a signal value of the pixel; correct the feature values based on a sensitivity of the receiving coil; and reduce noise in the image based on distribution of the corrected feature values.

Abstract: An ultrasound diagnosis apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains time-series data having complex values based on a reflected wave of an ultrasound wave transmitted by an ultrasound probe and calculates an expansion coefficient in a case in which the obtained time-series data is expressed as a linear sum of a plurality of mathematical functions, the time-series data having, as an argument, a first parameter related to time. The plurality of mathematical functions are mathematical functions that are possible to be generated on a basis of a function family that has, as arguments, the first parameter and a second parameter different from the first parameter.

Abstract: There is provided an apparatus and a method that perform a process of improving the quality of a low-quality image such as a far-infrared image. The apparatus includes an image correction unit that repeatedly performs an image correction process using a plurality of processing units in at least two stages. The image correction unit inputs a low-quality image to be corrected and a high-quality image which is a reference image. Each of the processing units in each stage performs a correction process for the low-quality image, using a class correspondence correction coefficient corresponding to a feature amount extracted from a degraded image of the high-quality image. A processing unit in a previous stage performs the correction process, using a class correspondence correction coefficient corresponding to a feature amount extracted from an image which has a higher degradation level than that in a processing unit in a subsequent stage.

Abstract: An image processing apparatus includes an image processing section configured to execute filter processing using a filter coefficient set at least on the basis of a detection result for details based on a first image and a detection result of detection of a disturbance performed on a second image.

Abstract: A transmittance estimation unit estimates a transmittance for each of regions from a captured image. The transmittance estimation unit estimates the transmittance for each pixel, using, for example, dark channel processing. A transmittance detection unit detects a transmittance of haze at the time of imaging of the captured image, using the transmittance estimated for each pixel by the transmittance estimation unit and depth information for each pixel. The transmittance detection unit detects the transmittance of the haze on the basis of, for example, a logarithm average value of the transmittances in the whole or a predetermined portion of the captured image, and an average value of depths indicated by the depth information.

Abstract: There is provided an apparatus and a method that perform a process of improving the quality of a low-quality image such as a far-infrared image. The apparatus includes an image correction unit that repeatedly performs an image correction process using a plurality of processing units in at least two stages. The image correction unit inputs a low-quality image to be corrected and a high-quality image which is a reference image. Each of the processing units in each stage performs a correction process for the low-quality image, using a class correspondence correction coefficient corresponding to a feature amount extracted from a degraded image of the high-quality image. A processing unit in a previous stage performs the correction process, using a class correspondence correction coefficient corresponding to a feature amount extracted from an image which has a higher degradation level than that in a processing unit in a subsequent stage.

Abstract: An apparatus and method are provided for generating a superimposed image of a visible light image and a fluorescence image having a noise level which substantially coincides with a noise level of the visible light image. A fluorescence image noise reduction unit executes noise reduction processing on a fluorescence image and generates a noise reduced fluorescence image, an image superimposing unit generates a superimposed image of a visible light image and a noise reduced fluorescence image according to a set superimposing rate, and a fluorescence image noise reduction intensity calculation unit calculates a noise reduction intensity which is applied to the noise reduction processing on the fluorescence image. Even when the superimposing rate is changed, a noise reduction intensity is calculated having a value which makes a noise level of the noise reduced fluorescence image substantially coincide with a noise level of the visible light image forming the superimposed image.