Abstract: A fuel cell module comprises: at least one cell stack including a plurality of single fuel cells supplied with a fuel gas and an oxidizing gas to generate power; a sealable housing accommodating the at least one cell stack and forming a power generation chamber inside the housing; a pressure vessel accommodating the housing; and an oxidizing gas supply pipe for supplying the oxidizing gas to the cell stack. At least one pressure equalizing opening is formed in the housing to allow communication between inside and outside of the housing. The at least one pressure equalizing opening includes only one pressure equalizing opening, or a plurality of pressure equalizing openings in which a distance between a pressure equalizing opening in the highest position and a pressure equalizing opening in the lowest position is within 0.1H, where H is a height of the housing.

Abstract: A semiconductor memory includes a plurality of stripe-like active areas formed by stacking, in a direction perpendicular to a substrate, a plurality of layers extending parallel to the substrate, a first gate electrode formed on first side surfaces of the active areas, the first side surfaces being perpendicular to the substrate, a second gate electrode formed on second side surfaces of the active areas, the second side surfaces being perpendicular to the substrate. The layers are patterned in self-alignment with each other, intersections of the active areas and the first gate electrode form a plurality of memory cells, and the plurality of memory cells in an intersecting plane share the first gate electrode.

Abstract: Provided is a pharmaceutical composition for treating a tumor, which is used in combination therapy of lenvatinib and (6S,9aS)—N-benzyl-8-({6-[3-(4-ethylpiperazin-1-yl)azetidin-1-yl]pyridin-2-yl}methyl)-6-(2-fluoro-4-hydroxybenzyl)-4,7-dioxo-2-(prop-2-en-1-yl)hexahydro-2H-pyrazino[2,1-c][1,2,4]triazine-1(6H)-carboxamide.

Abstract: A tire has an outer diameter smaller than a value obtained by subtracting 4 mm from an outer diameter maximum value of new product dimensions defined by a JATMA standard or an ETRTO standard, and has a total width smaller than a value obtained by subtracting 5 mm from a maximum total width of the new product dimensions. The tire includes an outer surface including a tread surface and a pair of side surfaces. The tread surface includes an equator. Each of the side surfaces includes a maximum width position. In a normal state, a ratio of a length of the shoulder line segment to a length of the reference line segment is 85.9% or more and 89.3% or less, and a ratio of the radius of the center arc to the radius of the middle arc is 1.85 or more and 2.00 or less.

Abstract: According to one embodiment, a learning apparatus includes processing circuitry. The processing circuitry generates a plurality of pieces of partial data from a mini-batch of learning data used for a plurality of learning processes for learning of a parameter of a neural network using an objective function, calculates a partial gradient that is a gradient related to the parameter of the objective function for each of the pieces of partial data, and updates the parameter based on an average value of the plurality of partial gradients corresponding to the pieces of partial data and a variance for the partial gradients.

Abstract: According to one embodiment, an importance calculation apparatus includes a processing circuit. The processing circuit obtains data in which samples each including values regarding a plurality of explanatory variables and one response variable are arranged in a predetermined order. The processing circuit generates first data in which a first correspondence between the values of the plurality of explanatory variables and the values of the response variable is randomized between the samples in the data, and second data in which a correspondence between the values of at least one target explanatory variable among the plurality of explanatory variables and the values of the response variable is restored to the first correspondence in the first data.

Abstract: According to one embodiment, a machine learning model evaluation system includes processing circuitry. The processing circuitry inputs used data used for training a machine learning model and target data to be input to the machine learning model for prediction. The processing circuitry calculates first statistical information from an output which the machine learning model produces with respect to the used data. The processing circuitry calculates second statistical information from an output which the machine learning model produces with respect to the target data. The processing circuitry evaluates reliability of the machine learning model, based on a difference or a rate of change between the first and second statistical information and on a threshold value.

Abstract: An X-ray diagnosis apparatus according to an embodiment includes processing circuitry configured: to detect an element from X-ray image data taken of an examined subject; to determine a parameter of multi-frequency processing on the basis of a detection result of the element; and to execute the multi-frequency processing on one or both of the X-ray image data and another piece of X-ray image data taken later than the X-ray image data, on the basis of the determined parameter.

Abstract: A health support apparatus includes a processor including hardware. The processor accepts input of a first factor that is directly controlled by improving a lifestyle habit of a person subjected to a medical checkup and a second factor that is not directly controlled by improving a lifestyle habit of the person. The processor generates a lifestyle habit combination pattern. The processor calculates change amounts of the first factor and the second factor corresponding to the combination pattern. The processor predicts a disease risk value representing a disease risk of a disease of the person based on at least the change amount of the second factor.

Abstract: A surface mount coil component includes an element body with a first surface, a second surface that opposes the first surface, and a third surface connecting the first surface and the second surface, the element body being defined by a compact including magnetic particles; a first conductor pattern provided at the first surface of the element body; a second conductor pattern provided at the second surface of the element body; input/output terminals provided at the third surface of the element body; and metal pins embedded in the element body, ends of each metal pin being connected to the first and second conductor patterns. The first conductor pattern, the second conductor pattern, and the metal pins define a coil conductor. The input/output terminals are defined by a pair of metal pins exposed at the third surface.

Abstract: According to one embodiment, a trait prediction model generation apparatus generates a plurality of first trait prediction models for each of a plurality of populations, based on summary statistics and inter-polymorphism correlated information. The apparatus generates a second trait prediction model for a specific one of the populations based on regularized regression of the first trait prediction models of each of the populations using a plurality of data sets including single-nucleotide polymorphism data and a trait value.

Abstract: A linear vibration motor and a linear vibration system include a housing, a moving member, a drive unit including a driving coil and driving magnets, and a bias unit including a biasing electromagnet and biasing magnets. The moving member vibrates in a first direction substantially orthogonal to a winding axis of the driving coil with Lorentz force generated by a magnetic field formed by the driving coil and a magnetic field formed by the driving magnets. The biasing electromagnet and the biasing magnets are disposed such that the same poles substantially face each other, and the moving member is biased in the first direction by a magnetic spring generated from a repulsive force between the biasing electromagnet and the biasing magnets. Moreover, a magnetic spring constant of the magnetic spring varies with variation in a value of a current flowing through a biasing coil.

Abstract: An antenna device is provided that can be designed easily and includes a flat antenna of which communication characteristics do not change significantly even when there exist metallic objects or the like in the surroundings. Moreover, the flat antenna is provided with an antenna-side signal line path conductor, an antenna-side first ground conductor, a matching circuit part, and an antenna-side connector part which are provided in an antenna-side insulator. The antenna device further includes a signal transmission cable that is provided with a radiation area setting part in the vicinity of a cable-side connector part. The antenna device is designed such that, by connecting the antenna-side connector part and the cable-side connector part to each other, substantially the entire surface of the flat antenna serves as a radiation part that radiates electromagnetic waves.

Abstract: According to one embodiment, an X-ray diagnostic apparatus includes a holding device and processing circuitry. The holding device movably holds an X-ray generator and an X-ray detector. The processing circuitry generates an X-ray image of the subject, based on an output of the X-ray detector. The processing circuitry sets an interference judgment region between the holding device and an interference object, based on a landmark in the X-ray image. The processing circuitry controls movement of the holding device, based on the set interference judgment region.

Abstract: A transmission line includes an insulator as a base member, a transmission conductor, and a ground layer. A connector is provided at a wiring substrate to fix the transmission line. The transmission line includes a signal columnar conductor having a solid columnar shape integrated with the transmission conductor, and ground columnar conductors having solid columnar shapes integrated with the ground layer. The connector has a through hole corresponding to the signal columnar conductor, and through holes corresponding to the ground columnar conductors. Conductive films are respectively provided on the inner peripheral surfaces of the through holes. The signal columnar conductor is inserted into the through hole, and the ground columnar conductors are respectively inserted into the through holes.

Abstract: According to an embodiment, a machine learning model compression system includes a memory and a hardware processor. The hardware processor is coupled to the memory and configured to: analyze an eigenvalue of each layer of a machine learning model by using a data set and the machine learning model, the machine learning model having been learned based on the data set; determine a search range of a compressed model based on a count of eigenvalues, each of which is used for calculating a first value and causes the first value to exceed a predetermined threshold; select a parameter for determining a structure of the compressed model included in the search range; generate the compressed model by using the parameter, and judge whether the compressed model satisfies one or more predetermined restriction conditions or not.

Abstract: An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry extracts a fixed object included in chronologically collected X-ray images and having a substantially fixed position. The processing circuitry detects a target object included in each of the X-ray images, on the basis of extraction results of the fixed object. The processing circuitry generates a plurality of corrected images by a correction process to substantially match, with a reference position, the detected position of the target object in an X-ray image other than a reference X-ray image, the reference position being the detected position of the target object in the reference X-ray image.

Abstract: A monitoring system includes storage, and one or more processors. The storage stores at least one of first output data that is obtained from a learning model, or first statistical information that is obtained from the first output data. The processors calculate a degree of abnormality indicating a degree of change in statistical information of second output data with respect to the first statistical information, or a degree of change in the statistical information of the second output data with respect to second statistical information. The processors determine whether or not there is occurrence of an abnormality in the learning model, on the basis of the degree of abnormality. The processors output information indicating occurrence of the abnormality, in a case where occurrence of the abnormality is determined.

Abstract: An electronic apparatus includes a spiral coil conductor shared by a first non-contact transfer system and a second non-contact transfer system. In the electronic apparatus, a coil antenna includes an inner coil and an outer coil connected in series with each other. The coil antenna includes opposite ends connected to a first system circuit. The inner coil includes opposite ends connected to the outer coil. The outer coil defines and functions as a booster coupled to the inner coil via an electromagnetic field.

Abstract: An image forming system includes a first storage unit that stores identification information and storage information with the identification information mapped to the storage information, the identification information identifying a user, the storage information indicating a storage location where image data corresponding to the identification information is stored, an identifying unit that, in response to the identification information input by the user, identifies the storage location indicated by the storage information stored on the first storage unit with the identification information mapped thereto, a retrieval unit that retrieves, from the storage location identified by the identifying unit, the image data corresponding to the identification information, and an image forming unit that forms an image responsive to the image data retrieved by the retrieval unit.