Abstract: A high pressure fuel pump includes: a pump body that forms a suction passage and a pressurizing chamber and slidably supports a plunger; and a control valve that opens a connection between the suction passage and the pressurizing chamber in a suction stroke, during which the plunger is driven toward a suction side for suctioning fuel into the pressurizing chamber, while the control valve controls closing timing, at which the connection between the suction passage and the pressurizing chamber is closed by the control valve in a delivery stroke, during which the plunger is driven toward a delivery side for delivering the fuel out of the pressurizing chamber. The pump body forms a release passage that is communicated with the suction passage. The release passage relieves the fuel, which is pressurized by the plunger, from the pressurizing chamber before the closing timing during the delivery stroke.

Abstract: A moving state analysis device improves accuracy of moving state recognition by including a detection unit configured to detect, from image data associated with a frame, an object and a region of the object, for each of frames that constitute first video data captured in a course of movement of a first moving body, and a learning unit configured to learn a DNN model that takes video data and sensor data as input and that outputs a probability of each moving state, based on the first video data, a feature of first sensor data measured in relation to the first moving body and corresponding to a capture of the first video data, a detection result of the object and the region of the object, and information that indicates a moving state associated with the first video data.

Abstract: A measurement image management system acquires identification information to identify a selected image from a plurality of measurement images, presents the identification information to a plurality of user terminals such that the identification information is selectable, and transmits, to a user terminal that has received an input operation for image transmission among the plurality of user terminals, the selected image corresponding to the selected identification information based on the input operation for the image transmission on any one of the plurality of user terminals.

Abstract: A drive-side rotor is rotated synchronously with a crankshaft. A driven-side rotor is rotated integrally with a camshaft. An internal gear section is formed at the driven-side rotor. An Oldham coupling includes: a driven Oldham flange that is formed at the drive-side rotor; a drive Oldham flange that is formed at the planetary rotor; and an Oldham intermediate that is configured to synchronize rotation of the driven Oldham flange and rotation of the drive Oldham flange while permitting eccentricity between the driven Oldham flange and the drive Oldham flange. There is satisfied a relationship of ?2<?1 where: ?1 is a maximum tilt amount of the planetary rotor relative to the driven Oldham flange; and ?2 is a maximum tilt amount of the planetary rotor in a clearance formed at the Oldham coupling.

Abstract: A classification unit of a classification device inputs input data to a learned model for classifying data into a class, to classify a class of the input data. The learned model includes a feature value extraction model for extracting a feature value from data and a classification model for classifying a class of data based on the feature value extracted by the feature value extraction model. In the learned model, respective parameters of the feature value extraction model and the classification model are trained in advance based on a supervised data set in a first domain in such a manner that a class classification result output from the learned model and a ground truth label correspond to each other.

Abstract: An Oldham coupling includes: a driven Oldham flange that is formed at a drive-side rotor; a drive Oldham flange that is formed at a planetary rotor; and an Oldham intermediate that is configured to synchronize rotation of the driven Oldham flange and rotation of the drive Oldham flange. A thrust section is formed at a rotor plate portion which is a portion other than the Oldham coupling. The thrust section is configured to limit tilting of the planetary rotor relative to the driven Oldham flange when the thrust section contacts the planetary rotor in an axial direction. There is satisfied a relationship of ?2>?1 where: ?1 is a maximum tilt amount of the planetary rotor relative to the driven Oldham flange; and ?2 is a maximum tilt amount of the planetary rotor in a clearance formed at the Oldham coupling.

Abstract: Provided is a means for increasing mannosylerythritol lipid (MEL) production efficiency. The present invention is a mannosylerythritol-lipid-producing microorganism transformed with an expression vector having a gene that encodes a lipase under the control of E5Pgap promoter or E5Ptef promoter.

Abstract: Provided is a means for efficiently producing a monoacyl MEL. This means comprises culturing a monoacyl-MEL-producing microorganism in the presence of a surfactant.

Abstract: A lubricating oil composition with a resin (A) and a base oil (B), the resin (A) is in a range of 0.01 to 50 parts by mass per 100 parts of (A) and (B), the resin (A) satisfies the following requirements: (A-1) the resin (A) is a polymer including a constituent unit from 4-methyl-1-pentene in a range of 60 to 99 mol % and a constituent unit from an ?-olefin having 2 to 20 carbon atoms (excluding 4-methyl-1-pentene) in a range of 1 to 40 mol % (provided that 4-methyl-1-pentene and the ?-olefin is 100 mol %); (A-2) intrinsic viscosity [?] measured in decalin at 135° C. is in a range of 0.01 to 5.0 dl/g; (A-3) a melting point (Tm) is in a range of 110 to 150° C. as determined by DSC; and the base oil (B) has (B-1) kinematic viscosity at 100° C. is in a range of 1 to 50 mm2/s.

Abstract: A movement status learning device is provided with a detection unit that detects a plurality of objects from image data of each frame generated from video data, a calculation unit that calculates a feature amount of each object detected by the detection unit, a selection unit that sorts the plurality of objects on a basis of the feature amount calculated by the calculation unit, and a learning unit that learns a model on a basis of video data, sensor data, a feature amount of the plurality of objects in the sorted order, and annotation data.

Abstract: In an analysis method and an analysis system for detecting fluorescences from each of a plurality of light-emitting points in a plurality of wavelength bands in order to identify fluorescence emissions of a plurality of types of fluorophores from the plurality of light-emitting points, spatial crosstalk and spectral crosstalk are present between the plurality of light-emitting points and between the plurality of wavelength bands, and then performance of the identification is reduced. The spatial crosstalk and the spectral crosstalk are eliminated and concentrations of each of the plurality of types of fluorophores at each of the plurality of light-emitting points are derived by inputting all detection signals in the plurality of wavelength bands for the plurality of light-emitting points to a predetermined arithmetic operation expression.

Abstract: A hazard estimation unit 21 estimates a likelihood of an occurrence of an event according to a hazard function, with respect to each of a plurality of pieces of time-series data that are a series of multiple pieces of data to which an event occurrence time relevant to the data is given in advance and that include time-series data in which the event did not occur and time-series data in which the event occurred. A parameter estimation unit 22 estimates a parameter of the hazard function so as to optimize a likelihood function expressed by including the event occurrence time given with respect to each of the plurality of pieces of time-series data and the likelihood of the occurrence of the event estimated with respect to each of the plurality of pieces of time-series data.

Abstract: A movement state recognition multitask DNN model training section 46 trains a parameter of a DNN model based on an image data time series and a sensor data time series, and based on first annotation data, second annotation data, and third annotation data generated for the image data time series and the sensor data time series. Training is performed such that a movement state recognized by the DNN model in a case in which input with the image data time series and the sensor data time series matches movement states indicated by the first annotation data, the second annotation data, and the third annotation data. This thereby enables information to be efficiently extracted and combined from both video data and sensor data, and also enables movement state recognition to be implemented with high precision for a data set including data that does not fall in any movement state class.

Abstract: A bearing portion of a planetary rotatable body for providing bearing support in a thrust direction is defined as a planetary thrust bearing portion. A driving-side rotatable body or a driven-side rotatable body, which is configured to contact the planetary thrust bearing portion in the thrust direction, is defined as a specific rotatable body. A bearing portion of the specific rotatable body for providing bearing support in the thrust direction is defined as a specific thrust bearing portion. In a parallel state where the specific thrust bearing portion and the planetary thrust bearing portion are parallel to each other, the specific thrust bearing portion and the planetary thrust bearing portion contact with each other only on one of an eccentric side and a counter-eccentric side of the planetary rotatable body while the counter-eccentric side is opposite to the eccentric side.

Abstract: Event occurrence is estimated from time series information which is high-dimensional information such as an image. A hazard estimation unit 11 estimates a likelihood of occurrence of an event according to a hazard function for each of a plurality of time-series image groups including time-series image groups in which no events have occurred and time-series image groups in which events have occurred, each of the plurality of time-series image groups being given an occurrence time of an event in advance, and a parameter estimation unit 12 estimates a parameter of the hazard function such that a likelihood function that is represented by including the occurrence time of an event given for each of the plurality of time-series image groups and the likelihood of occurrence of an event estimated for each of the plurality of time-series image groups is optimized.

Abstract: A light-transmitting member includes a substrate including a resin layer, and a functional film disposed on the substrate. The substrate has a thickness of 1 ?m or more and less than 1 mm. An optical thickness of the functional film with respect to light having a wavelength of 464 nm or more and 653 nm or less is less than a half of the wavelength. A contact angle of water with respect to an upper surface of the functional film in the light-transmitting member is less than 90°. The functional film has a porous portion containing a plurality of particles. A first particle and a second particle among the plurality of particles are bound to each other with a binder. Each of the first particle, the second particle, and the binder contains an inorganic material.

Abstract: The present disclosure provides a member having a porous layer containing particles and having a low refractive index and high film strength and a coating liquid for forming a porous layer containing particles, wherein the porous layer contains a plurality of silicon oxide particles bound by an inorganic binder and at least one acid.

Abstract: A more appropriate proposal is made far an action to be performed by a user in a free time of his or her schedule. A controller is provided which performs: obtaining schedules of a user; and transmitting to a terminal of the user, based on a content of a first schedule among the schedules of the user, a proposal for an action of the user to change his or her mood in a first free time in which the user has no schedule immediately before the first schedule.

Abstract: An information processing device includes a controller configured to acquire a detected value of a sensor that detects presence or absence of a person within a predetermined range outside one or more openings that is formed in a wall surface of a first building, each of the one or more openings using light control glass, the wall surface facing outside, and control transmittance of the light control glass based on the detected value of the sensor. A building includes one or more opening that is formed in at least a wall surface that faces outside, the opening using light control glass; a sensor that detects presence or absence of a person within a predetermined range outside the one or more openings; and a control device that controls transmittance of the light control glass based on a detected value of the sensor.

Abstract: An information processing apparatus includes a controller configured to monitor movement of at least one object that is owned by a first user, based on information detected by a sensor, and create a list of lendable objects from the at least one object, based on the movement of the at least one object. The controller adds an object a frequency of use of which is smaller than a first value, among the at least one object, to the list as the lendable object.