Abstract: According to one embodiment, an active material is provided. The active material includes an Nb2TiO7 phase and at least one Nb-rich phase selected from the group consisting of an Nb10Ti2O29 phase, an Nb14TiO37 phase, and an Nb24TiO64 phase. The active material includes potassium and phosphorus, and a total concentration of potassium and phosphorus in the active material is in the range of 0.01% by mass to 5.00% by mass. An average crystallite diameter is in the range of 80 nm to 150 nm. In a particle size distribution chart obtained by a laser diffraction scattering method, D10 is 0.3 ?m or greater, and D90 is 10 ?m or less. The active material satisfies a peak intensity ratio represented by the following Formula (1). 0<IB/IA?0.

Abstract: A liquid crystal display device includes a liquid crystal panel that includes a liquid crystal layer containing a liquid crystal composition; and a light source that emits light on the liquid crystal panel, the liquid crystal composition containing at least one of a first liquid crystal compound containing a phenyl group and a conjugated bond group that forms a conjugated system continuous with the phenyl group and a second liquid crystal compound containing an alkenyl group not forming a conjugated system, the light source emitting green light having a half width of less than 50 nm.

Abstract: Provided is a burner of double tube structure including an outer tube and an inner tube. The inner tube includes a tip-side support portion fixed on the outer tube, a base-side support portion fixed on the outer tube, a main body portion supported by the tip-side support portion, bellows interposed between the main body portion and the base-side support portion, and a bulkhead member attached at a position between the tip-side support portion and the base-side support portion. Between an outer peripheral surface of the bulkhead member and an inner peripheral surface of the outer tube, a second gap smaller than a first gap between an outermost peripheral surface of the bellows and the inner peripheral surface of the outer tube is interposed.

Abstract: The air discharge device includes a duct defining: a main flow path through which an air flow passes; and a main hole opened in a flat shape to discharge the air flow as a working air flow toward a downstream from the main flow path. A throttle portion is provided in the duct to reduce a flow path height of the main flow path from an upstream of the air flow toward a downstream of the air flow. A plurality of partitions are arranged to divide the main flow path in a major direction into a pair of side flow paths and at least one center flow path. The plurality of partitions are disposed in the duct such that a flow path width of the center flow path is reduced from the upstream of the air flow toward the downstream of the air flow.

Abstract: A robot control device is provided with a camera which images a teaching tool which includes a characteristic area, and a characteristic position detection unit which detects the position of the characteristic area. The robot control device includes a movement instruction generating unit which, when an operator has moved the teaching tool, changes the position and orientation of the robot such that the camera follows the characteristic area. The robot control device includes a calculation unit which, on the basis of the position of the characteristic area, calculates the position and orientation of an auxiliary coordinate system set for the teaching tool. The robot control device includes a setting unit which, on the basis of the position and orientation of the auxiliary coordinate system, sets the position of the teaching point and the orientation of the robot at the teaching point.

Abstract: A biological information measurement device includes a sensor unit that detects predetermined biological information related to an organ of a living body, an A/D conversion unit that converts a measurement signal output from the sensor unit into a digital signal, a storage unit that stores information including a digital signal related to the measurement signal output from the A/D conversion unit, an analysis processing unit that determines presence or absence of a suspicion of an abnormality in the organ by analyzing the digital signal, and a measurement control unit that changes a sampling frequency related to A/D conversion of the measurement signal under a predetermined condition when the analysis processing unit has determined that a suspicion of an abnormality is present in the organ.

Abstract: The present disclosure proposes a diagnostic system capable of properly identifying the cause of even an error for which multiple factors or multiple compound factors may be accountable. The diagnostic system according to the present disclosure is provided with a learning device for learning at least one of a recipe defining operations of an inspection device, log data describing states of the device, or specimen data describing characteristics of a specimen in association with error types of the device, and estimates the cause of the error by using the learning device (refer to FIG. 4).

Abstract: A defect inspection apparatus includes: a feature value calculation unit calculating a feature value based on a captured image of a sample; an image information reduction unit generating a latent variable by reducing an information quantity of the feature value; a statistic value estimation unit estimating an image statistic value that can be taken by a normal image based on the latent variable; and a defect detection unit detecting a defect in an inspection image based on the image statistic value and the inspection image of the sample.

Abstract: A lid component is arranged to face an electric oil pump. The lid component includes an accommodation groove that accommodates at least a part of the electric oil pump on a surface side from which a lid-side connector protrudes.

Abstract: A hydrophobic structure includes: a resin substrate; and a superhydrophobic mixture layer formed on the resin substrate and including a mixture of a hydrophobic part and a resin forming a surface portion of the resin substrate. The hydrophobic part includes one or both of a fluororesin and hydrophobic fine particles formed by subjecting inorganic fine particles having an average particle size of 5 nm or more and 30 nm or less to a hydrophobic treatment. The superhydrophobic mixture layer has a surface roughness Sa of 1 ?m or more and 10 ?m or less.

Abstract: An error cause estimation device comprising: a data pre-processing unit that uses data to be processed and generates training data that has an appropriate format for input to a machine learning model; and a model tree generation unit that generates error detection models that are training models for detecting errors and uses the training data as inputs therefor, and generates a model tree that expresses the relationship between error detection models by using a tree structure that has the error detection models as node therefor. Thus, it is possible to generate a training model that detects errors for each of a plurality of types of errors that occur, even when there has been no prior annotation of error causes.

Abstract: The present invention provides an aqueous pigment dispersion liquid being such that a pigment is finely dispersed, and the viscosity, and the particle diameters of the pigment are unlikely to fluctuate, being excellent in storage stability, and enabling preparation of an emulsion-polymerized toner having properly controlled particle diameters while improving the pigment utilization rate. The aqueous pigment dispersion liquid is an aqueous pigment dispersion liquid for an emulsion-polymerized toner containing a pigment, a dispersant, and an aqueous medium.

Abstract: A heat exchanger coating composition includes an aqueous dispersion having a water-repellent resin containing spherical particles with an average particle size of 2 ?m or more and 50 ?m or less.

Abstract: An error cause estimation device comprises a feature value generation unit for using data transmitted from the outside to generate feature values suitable for a machine learning model; a model database having a plurality of error prediction models, for determining whether an error has occurred using the feature values as input data; a model evaluation unit for evaluating the performance of an error prediction model by comparing a prediction result of the error prediction model and an actually measured error; a model selection unit for selecting from the model database an error prediction model for which an evaluation value calculated by the model evaluation unit is greater than or equal to a preset defined value; and an error prediction model generation unit for generating a new error prediction model with respect to the measured error when no corresponding error prediction model has been selected by the model selection unit.

Abstract: The present disclosure proposes a diagnostic system capable of properly identifying the cause of even an error for which multiple factors or multiple compound factors may be accountable. The diagnostic system according to the present disclosure is provided with a learning device for learning at least one of a recipe defining operations of an inspection device, log data describing states of the device, or specimen data describing characteristics of a specimen in association with error types of the device, and estimates the cause of the error by using the learning device (refer to FIG. 4).

Abstract: Provided is a water repellent coating film, including: an undercoat layer formed on a surface of a base material and containing: at least one type of spherical particles having an average particle diameter of 2 ?m or more and 50 ?m or less and selected from the group consisting of spherical molten silica particles, spherical molten alumina particles, and spherical silicone resin particles; and an underlying resin; and a topcoat layer formed on the undercoat layer and containing: inorganic fine particles having an average particle diameter of 2 nm or more and 20 nm or less; and a water repellent resin. The underlying resin is preferably a polyurethane resin or a fluororesin. The water repellent resin is preferably a fluororesin or a silicone resin.

Abstract: A water-repellent coat according to the present disclosure includes: an undercoat layer that is formed on a surface of a base material and contains a base resin, at least one kind of spherical particles, and water-repellent particles, the at least one kind of spherical particles having an average particle diameter of 2 ?m or more and 1000 ?m or less and being selected from the group consisting of spherical molten silica particles, spherical molten alumina particles, and spherical silicone resin particles, the water-repellent particles having an average particle diameter of 5 nm or more and 30 nm or less; and a topcoat layer formed on the undercoat layer and containing a water-repellent resin and the water-repellent particles contained in the undercoat layer.

Abstract: A coating composition contains silica fine particles having an average particle size of 3 nm or more and 25 nm or less, a solvent having a boiling point of 150° C. or higher and 300° C. or lower, and water. The content of the silica fine particles is 0.1 mass% or more and 5 mass% or less. The content of the solvent is 20 mass% or more and 70 mass% or less.

Abstract: An inspection apparatus includes an image distortion estimation unit that estimates a distortion amount between a reference image and an inspection image, an image distortion correction unit that corrects the inspection image and/or the reference image using an estimated distortion amount, and an inspection unit that performs inspection using a corrected inspection image and the reference image or the inspection image and a corrected reference image. The image distortion estimation unit estimates a distortion amount in which only distortion occurring in an entire image can be corrected by adjustment of a correction condition.

Abstract: An objective of the present invention is to provide a system which can infer the cause of a recipe error and present a correction candidate for the recipe error. A recipe information presentation system or recipe error inference system according to the present invention: causes a learner to learn a correspondence between a recipe and an error originating from the recipe; and acquires from the learner an inference result as to whether the error occurs when a new recipe is used (refer to FIG. 1).