Abstract: According to one embodiment, a magnetic head includes first and second magnetic poles, a conductive part, an element part, and first to fourth terminals. The conductive part is electrically insulated from the first and second magnetic poles. The first and second terminals are electrically connected to the conductive part. The element part is provided between the first and second magnetic poles and electrically connected to the first and second magnetic poles. The element part is conductive. The third terminal is electrically connected to the first magnetic pole. The fourth terminal is electrically connected to the second magnetic pole. A first magnetic pole temperature in a first state is higher than a second magnetic pole temperature of the second magnetic pole in the first state. A first current is supplied between the first and second terminals in the first state.

Abstract: A ventricular pressure waveform estimation device includes a calculation unit. The calculation unit estimates a plurality of coefficients of a model equation that indicates a left ventricular pressure waveform or a right ventricular pressure waveform by using values of one or more parameters related to a heartbeat or an arterial pressure to estimate at least a part of the left ventricular pressure waveform or the right ventricular pressure waveform.

Abstract: According to one embodiment, a data processing device includes an acquisitor, and a processor. The acquisitor is configured to acquire a first acquired data and a first other data. The processor is configured to perform a first evaluation index derivation operation deriving a first evaluation index from a plurality of first regression labels and a plurality of first synthetic regression labels. The first regression labels are derived from a plurality of first machine learning models. The first machine learning models are derived from a plurality of first sample data. The first synthetic regression labels are derived from a plurality of first synthetic machine learning models. The first synthetic machine learning models are derived from the first sample data and the first acquire data by a first transfer leaning. The first sample data are derived from the first other data or a first conversion other data.

Abstract: An electronic control method for a throttle performed by an electronic control throttle device is disclosed. The electronic control method includes: generating, by the electronic control section, the control signal for the throttle with a sum of a proportional torque and an integral torque as a value of a torque command, by calculating an engine speed deviation from a difference between a calculated or input engine speed and an input engine speed command; calculating an engine rotational angular acceleration based on the engine speed; obtaining the proportional torque from a product of the engine speed deviation and a predetermined coefficient; and obtaining the integral torque by integrating the product of the engine speed deviation and the predetermined coefficient.

Abstract: An electronic control method for a throttle performed by an electronic control throttle device is disclosed. The electronic control method includes: generating, by the electronic control section, the control signal for the throttle with a sum of a proportional torque and an integral torque as a value of a torque command, by calculating an engine speed deviation from a difference between a calculated or input engine speed and an input engine speed command; calculating an engine rotational angular acceleration based on the engine speed; obtaining the proportional torque from a product of the engine speed deviation and a predetermined coefficient; and obtaining the integral torque by integrating the product of the engine speed deviation and the predetermined coefficient.