Abstract: A behavior control apparatus for a vehicle having a control unit for controlling a braking device and controlling a behavior of a vehicle by controlling braking forces of wheels. When the vehicle is in the non-braking state, the control unit acquires information on a lateral acceleration of the vehicle; calculates, based on the lateral acceleration of the vehicle, a target yaw moment of a feedforward control for reducing a rate of decrease of the vehicle's yaw gain accompanying with an increase in an absolute value of a lateral acceleration of the vehicle, and controls braking forces of the wheels by controlling the braking device so that at least a yaw moment corresponding to the target yaw moment is applied to the vehicle.

Abstract: Provided is a novel technique for controlling the blood-brain barrier. An antibody whose epitope is a region within an extracellular domain of Claudin 5 protein.

Abstract: A control device for a high pressure fuel pump (33) for fuel injection (14) in which values of at least seven parameters of an engine speed, an engine load, a lubrication oil temperature, an amount of fuel supplied to the high pressure fuel pump (33), a temperature of intake air fed into the engine, a temperature of fuel discharged from the high pressure fuel pump (33), and a vehicle speed are acquired, and a learned neural network learned in weights using acquired values of the seven parameters as input values of the neural network and using as training data the temperature of fuel discharged from the high pressure fuel pump (33) acquired after a fixed time period from when acquiring the values of the seven parameters is stored, At the time of an engine operation, the temperature of fuel discharged from the high pressure fuel pump (33) after the fixed time period is estimated by using the learned neural network from the current estimated temperature of fuel discharged from the high pressure fuel pump (33).

Abstract: A learned neural network learned in weights using an engine load, an engine speed, and an intake pressure inside the engine intake passage downstream of the throttle valve (19) as input parameters of the neural network and using leakage of blow-by gas from a blow-by gas feed path (20) as a truth label is stored. At the time of operation of the vehicle, the learned neural network is used to detect the abnormality of leakage of blow-by gas from the blow-by gas feed path (20) from the above input parameters.

Abstract: A learned neural network in weights using at least the four parameters of the engine load, engine speed, intake pressure inside the intake passage downstream of the throttle valve (12), and amount of intake air fed into the engine as input parameters of the neural network and using a target EGR rate as training data is stored. At the time of engine operation, the learned neural network is used to estimate the target EGR rate from the above parameters and abnormality of the exhaust gas recirculation system is detected based on the difference between the estimated value of the target EGR rate and the target EGR rate.

Abstract: An electrostatic-image developer includes a toner and a resin-coated carrier. The toner includes toner particles including a binder resin, a release agent, and a non-ionic surfactant. The resin-coated carrier includes magnetic particles and a resin layer covering the magnetic particles. The resin layer includes inorganic particles having a volume resistivity of 1×100 ?·cm or more and 1×104 ?·cm or less.

Abstract: An abnormality detection device for an air-fuel ratio sensor is provided. An air-fuel ratio sensor is provided in an exhaust passage. A storage device stores mapping data specifying a mapping. The mapping outputs an abnormality determination variable using first time series data and second time series data as an input. The first time series data is time series data of an excess amount variable in a first predetermined period. The excess amount variable is a variable corresponding to an excess amount of fuel actually discharged to the exhaust passage in relation to an amount of fuel reacting without excess or deficiency with oxygen contained in a fluid discharged to the exhaust passage. The second time series data is time series data of an air-fuel ratio detection variable in a second predetermined period.

Abstract: At the time of stopping operation of the vehicle, the pressures inside of the fuel tank (5) and inside of the canister (6) detected at every constant time are stored in the storage device. A learned neural network using the pressures inside the fuel tank (5) and inside the canister (6) for each fixed time stored in the storage device and the atmospheric pressure as input parameters of the neural network and using a case where perforation occurs in the system causing fuel vapor to leak as a truth label is stored. At the time of stopping operation of the vehicle, a perforation abnormality causing fuel vapor to leak is detected from these input parameters by using the learned neural network.

Abstract: An electrostatic-image developer includes a toner and a resin-coated carrier. The toner includes toner particles including a binder resin, a release agent, and a non-ionic surfactant. The resin-coated carrier includes magnetic particles and a resin layer covering the magnetic particles. The resin-coated carrier has an absolute specific gravity of 3 g/cm3 or more and 4 g/cm3 or less.

Abstract: A sensor outputs a signal indicating an excavation start position at which a work implement starts excavation. A controller determines an inclination angle of a virtual design surface so that an amount of soil between the virtual design surface extending from the excavation start position and a current landscape matches a predetermined target amount of soil. The controller generates a command signal that causes the work implement to move along the virtual design surface extending from the excavation start position in a direction inclined at the inclination angle.

Abstract: An oxygen storage amount estimation device estimates an oxygen storage amount of a catalyst disposed in an exhaust passage of an internal combustion engine. The oxygen storage amount estimation device includes a storage device and processing circuitry. The storage device stores mapping data, which is data specifying a mapping that uses multiple variables including at least an excess-deficient amount variable and a previous value of a storage amount variable as an input to output a value of the storage amount variable. The processing circuitry executes a storage amount variable calculation process that repeatedly calculates a value of the storage amount variable based on an output of the mapping using the multiple variables and an operation process that operates predetermined hardware based on a calculation result of the storage amount variable calculation process. The mapping data includes data learned by machine learning.

Abstract: At the time of stopping operation of the vehicle, the pressures inside of the fuel tank (5) and inside of the canister (6) detected at every constant time are stored in the storage device. A learned neural network using the pressures inside the fuel tank (5) and inside the canister (6) for each fixed time stored in the storage device and the atmospheric pressure as input parameters of the neural network and using a case where perforation occurs in the system causing fuel vapor to leak as a truth label is stored. At the time of stopping operation of the vehicle, a perforation abnormality causing fuel vapor to leak is detected from these input parameters by using the learned neural network.

Abstract: A traveling route generation device includes a lane shape detection unit detecting a shape of a traveling lane in which a host vehicle is traveling, a lateral position detection unit detecting a lateral position that is a position of the host vehicle in a width direction of the traveling lane, and a traveling route generation unit generating, as a traveling route of the host vehicle when traveling in a curved section, a route in which an offset distance of the host vehicle remains at an entry offset distance on the basis of detection results of the lane shape detection unit and the lateral position detection unit. The offset distance indicates a distance between a lane center line and the lateral position of the host vehicle, and the entry offset distance indicates the offset distance of the host vehicle when entering the curved section.

Abstract: A traveling control device includes: a sensor information acquisition unit configured to acquire an output value of an in-vehicle sensor including a yaw rate sensor detecting an actual value of a yaw rate generated in the vehicle; a command value determination unit configured to determine a target value of the yaw rate to be generated in the vehicle based on the output value and determine a command value to be given to an actuator controlling a behavior of the vehicle such that a difference between the actual value and the target value is reduced; a characteristic parameter acquisition unit configured to acquire a characteristic parameter indicating a characteristic of a drivers driving operation based on the difference; and an adjustment output unit configured to adjust the command value according to the characteristic parameter and output the adjusted command value to the actuator.

Abstract: A vehicle control device causing a vehicle to travel along a target route includes: a first calculation unit calculating a yaw angle control amount that reduces a yaw angle deviation between an actual yaw angle of the vehicle and a target yaw angle corresponding to the target route; a second calculation unit calculating a lateral control amount that reduces a lateral deviation of the vehicle with respect to the target route; and a setting unit setting a first gain of the yaw angle control amount and a second gain of the lateral control amount. The setting unit reduces the first gain and increases the second gain at a current position of the vehicle as a current curvature is larger. The current curvature is a curvature of the target route corresponding to the current position or a curvature of the target route ahead of the current position.

Abstract: To estimate an engine cooling water temperature, four learned neural networks (150A, 150B, 150C, and 150D) are stored, in which weights are learned for the four states of whether the grille shutter (50) is opened and whether air blown by the blower (63) circulates through the air-conditioning use heater (65). The engine cooling water temperature is estimated using any one of the learned neural networks selected from among the four learned neural networks (150A, 150B, 150C, and 150D). An abnormality of the engine cooling water recirculation system is detected based on the estimated value of the engine cooling water temperature.

Abstract: An electrostatic-image developer includes a toner and a resin-coated carrier. The toner includes toner particles including a binder resin, a release agent, and a non-ionic surfactant. The resin-coated carrier includes magnetic particles and a resin layer covering the magnetic particles. The resin-coated carrier has an absolute specific gravity of 3 g/cm3 or more and 4 g/cm3 or less.

Abstract: An abnormality detection device for an air-fuel ratio sensor is provided. An air-fuel ratio sensor is provided in an exhaust passage. A storage device stores mapping data specifying a mapping. The mapping outputs an abnormality determination variable using first time series data and second time series data as an input. The first time series data is time series data of an excess amount variable in a first predetermined period. The excess amount variable is a variable corresponding to an excess amount of fuel actually discharged to the exhaust passage in relation to an amount of fuel reacting without excess or deficiency with oxygen contained in a fluid discharged to the exhaust passage. The second time series data is time series data of an air-fuel ratio detection variable in a second predetermined period.

Abstract: An electrostatic-image developer includes a toner and a resin-coated carrier. The toner includes toner particles including a binder resin, a release agent, and a non-ionic surfactant. The resin-coated carrier includes magnetic particles and a resin layer covering the magnetic particles. The resin layer includes inorganic particles having a volume resistivity of 1×100 ?·cm or more and 1×104 ?·cm or less.

Abstract: A recording control device, a recording control method, and a recording tape cartridge capable of estimating a lifetime of the recording tape cartridge are obtained. A recording control device reads information correlated with an error rate of reading or writing of data from or to a magnetic tape included in a recording tape cartridge, the information being recorded on a RFID tag included in the recording tape cartridge, and a measurement date of the information, and estimates a lifetime of the recording tape cartridge using the read information and the read measurement date, and the information measured at the time of using the recording tape cartridge and a measurement date.