Abstract: In an aspect of a vehicle control device, a vehicle control method, a target trajectory calculation method, and a vehicle according to the present invention, an offset amount of a coordinate value or a curvature is determined for each item of basic trajectory coordinate data on a basis of the basic trajectory coordinate data on at least a part or all of a two-dimensional coordinate value, a trajectory curvature, and a trajectory azimuth angle at coordinates arranged in ascending order of arc length from a certain position serving as an origin point, new target trajectory coordinate data is determined by adding the offset amount to each item of the basic trajectory coordinate data, and a trajectory of a vehicle is controlled on a basis of the new target trajectory coordinate data. Thus, a target trajectory with an out-in-out line can be obtained as in steering by an expert driver.

Abstract: According to an embodiment, a medical image diagnosis device includes processing circuitry. The processing circuitry acquires at least a reflected wave signal obtained by reflecting an ultrasound signal detected by an ultrasound probe and transmitted to a subject within a body of the subject and an image signal including an external appearance of the subject captured by an imaging device, controls a process of displaying an ultrasound image based on the reflected wave signal and a visual field image based on the image signal on a display device attached to a head of an examiner, and determines whether or not a state is an imaging state in which the ultrasound probe detects the reflected wave signal and the inside of the body of the subject is imaged.

Abstract: A medical learning system according to an embodiment includes processing circuitry. The processing circuitry acquires a first inference model that infers a treatment action of a target medical care provider based on a state of a patient. The processing circuitry acquires treatment progress data relating to a target patient. The processing circuitry generates a second inference model in conformity with the target patient by updating the first inference model based on the treatment progress data.

Abstract: A hydrogen generation catalyst according to a first aspect of the present invention contains a molybdenum sulfide powder containing molybdenum disulfide having a 3R crystal structure. A hydrogen generation catalyst according to a second aspect of the present invention contains a metal-doped molybdenum sulfide powder containing a doping metal in Groups 3 to 13 and molybdenum disulfide having a 3R crystal structure.

Abstract: Provided is a particle-containing resin composition having an appropriate particle size and being capable of improving friction and wear resistance properties even under a high temperature and high load environment. The particle-containing resin composition according to the present invention includes a resin composition and molybdenum disulfide particles, in which a median diameter D50 of the molybdenum disulfide particles determined by a dynamic light scattering method is 10 nm or more and 1,000 nm or less.

Abstract: A medical information processing apparatus acquires multiple training samples. Each of the training samples includes a feature amount representing a condition of a subject, a type label of an event performed on the subject, and an effect label of the event. The apparatus acquires a knowledge base independent from the training samples. The processing circuitry assigns a knowledge label to at least one training sample among the training samples based on the knowledge base. The apparatus trains, based at least on the at least one training sample to which the knowledge label is assigned, a model that infers an effect of each type of an event. The at least one training sample to which the knowledge label is assigned includes the feature amount, the type label, the effect label, and the knowledge label.

Abstract: Molybdenum disulfide particles include a 2H crystal structure and a 3R crystal structure of molybdenum disulfide, in which a presence ratio of the 3R crystal structure in a crystal phase of molybdenum disulfide is 10% or more, and a crystallite size of the 3R crystal structure calculated by extended-type Rietveld analysis based on an analysis formula L=K?/(? cos ?) using a profile obtained from powder X-ray diffraction (XRD) using Cu-K? rays as an X-ray source is 1 nm or more and 150 nm or less (in the above formula, K is an instrumental constant that depends on an XRD optical system (an incident side and a detector side) and settings, L is a crystallite size [m], ? is a measured X-ray wavelength [m], ? is a half width [rad], and ? is a Bragg angle of a diffraction line [rad]).

Abstract: A diagnosis support system includes an acquirer, a calculator, and a display controller. The acquirer acquires diagnosis data. The calculator calculates, based on the medical data, a feature amount in the medical data for a predetermined period. The display controller causes the displayer to display the medical data in a format according to the feature amount.

Abstract: Provided is a particle-containing grease composition that can efficiently improve friction and wear resistance properties with a small added amount and exhibits excellent friction and wear resistance properties even when a clearance and the surface roughness of the friction surface in sliding parts are extremely small. The particle-containing grease composition includes base oil, a thickener, and molybdenum disulfide particles, in which a median diameter D50 of the molybdenum disulfide particles determined by a dynamic light scattering method is 10 nm or more and less than 450 nm.

Abstract: A medical learning apparatus acquires a data set consisting of a plurality of events, the data set including first data that includes first action data relating to an expert. The medical learning apparatus trains, based on the first data, a causal structure model for inferring a causal relationship relating to the plurality of events.

Abstract: A hydrogen generation catalyst according to a first aspect of the present invention contains a molybdenum sulfide powder containing molybdenum disulfide having a 3R crystal structure. A hydrogen generation catalyst according to a second aspect of the present invention contains a metal-doped molybdenum sulfide powder containing a doping metal in Groups 3 to 13 and molybdenum disulfide having a 3R crystal structure.

Abstract: A metal-doped molybdenum sulfide powder according to the present invention contains a doping metal in Groups 3 to 13 and molybdenum disulfide having a 3R crystal structure. A first aspect of a method for producing a metal-doped molybdenum sulfide powder includes dry-mixing a powder containing a molybdenum trioxide powder made of an aggregate of primary particles containing molybdenum trioxide, a sulfur source, and a salt of a metal in Groups 3 to 13, and heating the powder at a temperature of 200° C. to 1,000° C. A second aspect includes removing, from a mixture obtained by blending a molybdenum trioxide powder made of an aggregate of primary particles containing molybdenum trioxide, a salt of a metal in Groups 3 to 13, and a dispersion medium, the dispersion medium to obtain a solid, and heating the solid at a temperature of 200° C. to 1,000° C. in the presence of a sulfur source.

Abstract: Provided is a molybdenum trioxide powder containing an aggregate of primary particles containing a crystal structure of molybdenum trioxide, the crystal structure containing ? crystals with an average crystallite size of 50 nm or less, a median diameter D50 of the primary particles being 2,000 nm or less determined by dynamic light scattering.

Abstract: A medical information processing apparatus of an embodiment includes processing circuitry. The processing circuitry acquires symptom reply information regarding a predetermined symptom of a patient. The processing circuitry acquires condition data of the patient related to the symptom. The processing circuitry identifies a condition sensitivity component of the symptom reply information on the basis of change in the symptom reply information with respect to change in the condition data.

Abstract: A clinical decision support device of an embodiment includes processing circuitry. The processing circuitry acquires at least one of attribute information of a patient and first parameters regarding a first preference category for the patient. The processing circuitry estimates second parameters of the patient with respect to a second preference category on the basis of at least one of the attribute information and the first preference category. The processing circuitry determines preferable selections of the patient with respect to a predetermined preference category on the basis of the second parameters. The processing circuitry displays the preferable selections and the second parameters in association with each other.

Abstract: According to one embodiment, a medical information display apparatus includes processing circuitry. The processing circuitry displays first medical information over a first period along a first time axis and second medical information over a second period along a second time axis, acquires time information at a time point or in a range designated in the first period about the first medical information displayed, decides a position on the second time axis which corresponds to the time information, and displays an indicator indicating the position in an area displaying the second medical information.

Abstract: According to one embodiment, a medical examination assistance apparatus includes processing circuitry. The processing circuitry outputs presence/absence of pre-detection for an adverse event at respective time points when a pre-detection model for an adverse event is applied to time-series medical examination data multiple times. The processing circuitry classifies a detection event of the pre-detection model, into a plurality of patterns each defined by a combination of presence/absence of the pre-detection of an adverse event and presence/absence of a medical event related to the adverse event. The processing circuitry calculates a performance indicator for evaluating the pre-detection model based on the number of instances of each pattern.

Abstract: The present invention relates to a lubricant containing molybdenum sulfide particles, and the molybdenum sulfide particles contain molybdenum disulfide having a 3R crystal structure. The present invention relates to a lubricating composition containing molybdenum sulfide particles, which are the lubricant, and a base oil which is a mineral oil, a synthetic oil, or a partially synthetic oil.

Abstract: A medical information display apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured: to obtain time series data related to a predetermined patient; to receive a display time period being a range of data to be displayed from among the time series data; to identify a first state of the patient corresponding to the display time period, on the basis of the time series data; to determine reference data corresponding to a second state different from the first state, on the basis of one selected from between relevant data that is of the same type as the time series data and is relevant to another patient and the time series data; and to cause a display to display time series data corresponding to the display time period and the reference data, so as to be kept in correspondence with each other.

Abstract: According to one embodiment, a medical information processing apparatus includes processing circuitry. The processing circuitry predicts a medical treatment effect of each of a plurality of options that are possibly selected as a medical treatment judgment for a medical care target. The processing circuitry computes, based on a prediction result of the medical treatment effect, a first importance degree relating to an effect common to the options and a second importance degree relating to a difference in effect between the options, with respect to each of one or more features that affect the medical treatment effect. The processing circuitry presents the first importance degree and the second importance degree by one graph or one list.