Abstract: An electronic component includes an element body made of a composite material of a resin material and metal powder. A plurality of particles of the metal powder are exposed from the resin material and make contact with one another on the outer surface of the element.

Abstract: According to one embodiment, an image processing apparatus incudes processing circuitry. The processing circuitry generates, for N processed images based on an input image, N being an integer equal to greater than 3, N feature amounts by performing feature amount extraction processing using a neural network, stores process data generated during the feature amount extraction processing in a memory, selects a maximum feature amount by performing two or more comparisons with M combinations among the N feature amounts, M being an integer equal to 2 or more and (N?1) or less, and releases (M?1) or less pieces of process data that correspond to (M?1) or less feature amounts not having been selected from the memory for each of the two or more comparisons.

Abstract: According to an embodiment, a processing apparatus includes a hardware processor. The hardware processor is configured to: cut out, from an input signal, a plurality of partial signals that are predetermined parts in the input signal; execute processing on the plurality of partial signals using neural networks having the same layer structure with each other to generate a plurality of intermediate signals including a plurality of signals corresponding to a plurality of channels; execute predetermined statistical processing on signals for each of the plurality of channels for each of the plurality of intermediate signals corresponding to the plurality of partial signals, to calculate statistics for each channel and generate a concatenated signal by concatenating the statistics of the plurality of respective intermediate signals for each channel; generate a synthetic signal by performing predetermined processing on the concatenated signal; and output an output signal in accordance with the synthetic signal.

Abstract: According to one embodiment, a medical image diagnostic apparatus includes processing circuitry. The processing circuitry inputs a noise correlation map and a medical image or an intermediate image to a learned model that is functioned to generate a denoise image, in which noise of the medical image or noise of the intermediate image is reduced, based on the medical image generated based on data collected with respect to a subject or the intermediate image at a front stage for generating the medical image and the noise correlation map correlated with the noise included in the medical image or the intermediate image, and generates the denoise image, in which the noise of the medical image or the noise of the intermediate image is reduced.

Abstract: According to one embodiment, a medical image diagnostic apparatus includes processing circuitry. The processing circuitry inputs a noise correlation map and a medical image or an intermediate image to a learned model that is functioned to generate a denoise image, in which noise of the medical image or noise of the intermediate image is reduced, based on the medical image generated based on data collected with respect to a subject or the intermediate image at a front stage for generating the medical image and the noise correlation map correlated with the noise included in the medical image or the intermediate image, and generates the denoise image, in which the noise of the medical image or the noise of the intermediate image is reduced.

Abstract: A photon counting X-ray CT apparatus according to an embodiment includes: data acquiring circuitry, and processing circuitry. The data acquiring circuitry is configured to allocate energy measured by signals output from a photon counting detector in response to incidence of X-ray photons to any of a plurality of first energy bins so as to acquire a first data group as count data of each of the first energy bins. The processing circuitry is configured to determine a plurality of second energy bins obtained by grouping the first energy bins in accordance with a decomposition target material that is a material to be decomposed in a imaging region, allocate the first data group to any of the second energy bins so as to generate a second data group, and use the second data group to generate an image representing a distribution of the decomposition target material.

Abstract: According to one embodiment, a distance measuring apparatus includes a processing circuit and a memory. The processing circuit generates a distance image by measuring distances to an obstacle by using the time until the emitted light is reflected from the obstacle and returned as reflected light. The processing circuit generates an intensity image by measuring the intensity of the reflected light or the intensity of the environmental light. The memory stores a learned model for generating a denoise image, in which noise of the distance image is reduced, based on the distance image and the intensity image.

Abstract: According to one embodiment, an inference apparatus includes a processor. The processor generates an intermediate signal by processing an input signal with a convolutional neural network. The processor extracts one or more intermediate partial signals each serving as part of the intermediate signal from the intermediate signal. The processor calculates a statistic of the one or more intermediate partial signals. The processor outputs an inference result relating to the input signal and corresponding to the statistic.

Abstract: A compound represented by the following general formula (I) or a pharmaceutically acceptable salt or solvate thereof, and a pharmaceutical composition thereof, and the use thereof to prevent or treat infectious diseases and a method to prevent or treat infectious diseases using those regimen are disclosed. The compound represented by formula (I) has an antibacterial activity against both gram-positive and gram-negative bacteria, and is useful in the prevention or treatment of infectious diseases caused by these bacteria.

Abstract: According to an embodiment, a processing apparatus includes a hardware processor. The hardware processor is configured to: cut out, from an input signal, a plurality of partial signals that are predetermined parts in the input signal; execute processing on the plurality of partial signals using neural networks having the same layer structure with each other to generate a plurality of intermediate signals including a plurality of signals corresponding to a plurality of channels; execute predetermined statistical processing on signals for each of the plurality of channels for each of the plurality of intermediate signals corresponding to the plurality of partial signals, to calculate statistics for each channel and generate a concatenated signal by concatenating the statistics of the plurality of respective intermediate signals for each channel; generate a synthetic signal by performing predetermined processing on the concatenated signal; and output an output signal in accordance with the synthetic signal.

Abstract: A compound represented by the following general formula (I) or a pharmaceutically acceptable salt or solvate thereof, and a pharmaceutical composition thereof, and the use thereof to prevent or treat infectious diseases and a method to prevent or treat infectious diseases using those regimen are disclosed. The compound represented by formula (I) has an antibacterial activity against both gram-positive and gram-negative bacteria, and is useful in the prevention or treatment of infectious diseases caused by these bacteria.

Abstract: An X-ray computed tomography (CT) apparatus according to an embodiment includes an X-ray generator, an X-ray detector and processing circuitry. The X-ray generator irradiates X-rays to a subject. The X-ray detector detects the X-rays that have passed through the subject. The processing circuitry calculates an estimated spectrum based on an irradiation spectrum, an estimated length and information indicating a distortion of a spectrum occurring in a path of the X-rays passing through the subject, the estimated length representing an estimated value of an X-ray transmission length of a material of decomposition target. The processing circuitry determines an X-ray transmission length of the material of decomposition target based on the estimated spectrum and a detected spectrum that is a spectrum after the X-rays have passed through the subject and that is detected by the X-ray detector.

Abstract: A compound represented by the following general formula (I) or a pharmaceutically acceptable salt or solvate thereof, and a pharmaceutical composition thereof, and the use thereof to prevent or treat infectious diseases and a method to prevent or treat infectious diseases using those regimen are disclosed. The compound represented by formula (I) has an antibacterial activity against both gram-positive and gram-negative bacteria, and is useful in the prevention or treatment of infectious diseases caused by these bacteria.

Abstract: According to one embodiment, a signal processing apparatus includes a memory and a processing circuit. The memory stores a learned model for generating restoration data by restoring deterioration of a signal based on data of the signal and data related to a position of a sample of the signal. The processing circuit inputs data of the signal and data related to the position to the learned model. The processing circuit generates the restoration data by using the learned model.

Abstract: A compound represented by the following general formula (I) or a pharmaceutically acceptable salt or solvate thereof, and a pharmaceutical composition thereof, and the use thereof to prevent or treat infectious diseases and a method to prevent or treat infectious diseases using those regimen are disclosed. The compound represented by formula (I) has an antibacterial activity against both gram-positive and gram-negative bacteria, and is useful in the prevention or treatment of infectious diseases caused by these bacteria.

Abstract: A photon counting X-ray CT apparatus according to an embodiment includes: data acquiring circuitry, and processing circuitry. The data acquiring circuitry is configured to allocate energy measured by signals output from a photon counting detector in response to incidence of X-ray photons to any of a plurality of first energy bins so as to acquire a first data group as count data of each of the first energy bins. The processing circuitry is configured to determine a plurality of second energy bins obtained by grouping the first energy bins in accordance with a decomposition target material that is a material to be decomposed in a imaging region, allocate the first data group to any of the second energy bins so as to generate a second data group, and use the second data group to generate an image representing a distribution of the decomposition target material.

Abstract: According to one embodiment, a medical image diagnostic apparatus includes processing circuitry. The processing circuitry inputs a noise correlation map and a medical image or an intermediate image to a learned model that is functioned to generate a denoise image, in which noise of the medical image or noise of the intermediate image is reduced, based on the medical image generated based on data collected with respect to a subject or the intermediate image at a front stage for generating the medical image and the noise correlation map correlated with the noise included in the medical image or the intermediate image, and generates the denoise image, in which the noise of the medical image or the noise of the intermediate image is reduced.

Abstract: According to one embodiment, a distance measuring apparatus includes a processing circuit and a memory. The processing circuit generates a distance image by measuring distances to an obstacle by using the time until the emitted light is reflected from the obstacle and returned as reflected light. The processing circuit generates an intensity image by measuring the intensity of the reflected light or the intensity of the environmental light. The memory stores a learned model for generating a denoise image, in which noise of the distance image is reduced, based on the distance image and the intensity image.

Abstract: A photon counting X-ray CT apparatus according to an embodiment includes: data acquiring circuitry, and processing circuitry. The data acquiring circuitry is configured to allocate energy measured by signals output from a photon counting detector in response to incidence of X-ray photons to any of a plurality of first energy bins so as to acquire a first data group as count data of each of the first energy bins. The processing circuitry is configured to determine a plurality of second energy bins obtained by grouping the first energy bins in accordance with a decomposition target material that is a material to be decomposed in a imaging region, allocate the first data group to any of the second energy bins so as to generate a second data group, and use the second data group to generate an image representing a distribution of the decomposition target material.

Abstract: According to an embodiment, a device includes first and second generators, a detector, and a corrector. The first generator is configured to generate a first image based on data corresponding to photons with a first energy from among data that is obtained based on an energy of radiation that has passed through a subject. The second generator is configured to generate a second image based on data corresponding to photons with a second energy. The detector is configured to detect, in the second image, a second block having a similar pattern of pixel values to a first block included in the second image. The corrector is configured to correct pixel values of a third block in the first image corresponding to the first block based on new pixel values of the third block that are calculated by using pixel values included in a fourth block in the first image.