Abstract: A solder alloy has an alloy composition consisting of, in mass %, Cu: 0.1% to 2.0%, Ni: 0.01% to 0.4%, P: 0.001% to 0.08%, and Ge: 0.001% to 0.08%, with the balance being Sn. The alloy composition satisfies the following relations (1) to (3): (Cu+5Ni)?0.945% (relation (1)), (P+Ge)?0.15% (relation (2)), 2.0?(Cu+5Ni)/(P+Ge)?1000 (relation (3)). In the above relations (1) to (3), Cu, Ni, P, and Ge each represents a content (mass %) thereof in the solder alloy.

Abstract: An optical fiber includes a glass fiber and a coating resin layer surrounding the outer periphery of the glass fiber. The coating resin layer has a primary resin layer that surrounds the outer periphery of the glass fiber, and a secondary resin layer that surrounds the outer periphery of the primary resin layer. The primary resin layer has a thickness of 7.5 ?m or more and 17.5 ?m or less. The primary resin layer has a Young's modulus of 0.10 MPa or greater and 0.50 MPa or less at 23° C. The secondary resin layer has a thickness of 5.0 ?m or more and 17.5 ?m or less. The secondary resin layer has an outer diameter of 165 ?m or more and 175 ?m or less. The secondary resin layer has a Young's modulus of 1200 MPa or greater and 2800 MPa or less at 23° C.

Abstract: A motor includes a shaft, a rotor, a stator including a coil and opposed to the rotor, and a bearing configured to support the shaft. In addition, the motor further includes a first temperature sensor disposed farther toward an outer periphery side than the coil, and a second temperature sensor disposed farther toward an inner periphery side than the coil.

Abstract: The formation method of graphene includes the steps of forming a layer including graphene oxide over a first conductive layer; and supplying a potential at which the reduction reaction of the graphene oxide occurs to the first conductive layer in an electrolyte where the first conductive layer as a working electrode and a second conductive layer with a as a counter electrode are immersed. A manufacturing method of a power storage device including at least a positive electrode, a negative electrode, an electrolyte, and a separator includes a step of forming graphene for an active material layer of one of or both the positive electrode and the negative electrode by the formation method.

Abstract: Provided are a lead-free and antimony-free solder alloy, a solder ball, and a solder joint that have improved shear strength obtained by grain minuteness at a bonded interface and can suppress fusion failure. The lead-free and antimony-free solder alloy having an alloy composition consisting of, by mass%, 0.1 to 4.5% of Ag, 0.20 to 0.85% of Cu, 0.2 to 5.00% of Bi, 0.005 to 0.09% of Ni, and 0.0005 to 0.0090% of Ge with the balance being Sn, and the alloy composition satisfies the following relations (1) and (2): 0.013 ? (Ag + Cu + Ni + Bi) x Ge ? 0.027 (1), Sn x Cu x Ni ? 5.0 (2). Ag, Cu, Ni, Bi, Ge, and Sn in the relations (1) and (2) each represent the contents (mass%) in the alloy composition.

Abstract: Provided is a brain measurement system including: a geomagnetic correction coil; a geomagnetic gradient correction coil; a transmission coil; a receiving coil; a plurality of resonance adjustment circuits; a plurality of OPM modules provided corresponding to each of the plurality of resonance adjustment circuits for detecting a signal having a resonance frequency output from the resonance adjustment circuit; and a control device for generating an MR image based on the signal detected by the OPM module, wherein, when a direction parallel to a central axis of a head portion of a subject is defined as a Z-axis direction, the resonance frequency related to each of the plurality of resonance adjustment circuits is set according to a magnetic field gradient in the Z-axis direction generated by control of a position of the corresponding receiving coil in the Z-axis direction and a tilted magnetic field.

Abstract: Provided are a lead-free and antimony-free solder alloy, a solder ball, and a solder joint, which have improved shear strength obtained by grain minuteness at a bonded interface and can suppress fusion failure. The lead-free and antimony-free solder alloy has an alloy composition consisting of, by mass %, 0.1 to 4.5% of Ag, 0.20 to 0.85% of Cu, 0.005 to 0.090% of Ni, and 0.0005 to 0.0090% of Ge with the balance being Sn, and the alloy composition satisfies the following relations (1) and (2): 0.006?(Ag+Cu+Ni)×Ge<0.023 (1), (Sn/Cu)×(Ni×Ge)/(Ni +Ge)<0.89 (2). Ag, Cu, Ni, Ge, and Sn in the relations (1) and (2) each represent the contents (mass %) in the alloy composition.

Abstract: An acquisition unit is configured to acquire measurement values of a target device. The measurement values that are acquired include at least a temperature and a flow rate of an input fluid to be input to the target device, and a temperature and a flow rate of an output fluid to be output from the target device. A correction unit is configured to obtain a correction measurement value by which the measurement values are corrected through thermal equilibrium calculations based on the measurement values. A distance calculation unit is configured to calculate a Mahalanobis distance with a factor of the correction measurement value.

Abstract: The present disclosure provides a proximity sensor. The proximity sensor includes a light emitting unit, a light receiving unit, a transimpedance amplifier, a capacitor, an amplifying unit, a converting unit and an integrating unit. The light emitting unit irradiates a detection target with light. The light receiving unit detects a reflected light from the detection target. The transimpedance amplifier receives an output of the light receiving unit. The capacitor receives an output of the transimpedance amplifier. The amplifying unit amplifies a difference between an output voltage of the capacitor when a charge corresponding to an ambient light is stored and the output voltage of the capacitor when charges corresponding to the ambient light and the reflected light are stored. The converting unit converts an output of the amplifying unit into a current signal and outputs the current signal. The integrating unit integrates an output of the converting unit.

Abstract: A semiconductor device capable of changing a data programming process in a simple manner according to a situation is provided. The semiconductor device includes a plurality of memory cells, a programming circuit for supplying a programming current to the memory cell, and a power supply circuit for supplying power to the programming circuit. The power supply circuit includes a charge pump circuit for boosting the external power supply, a voltage of the external power supply according to the selection indication, and a selectable circuit capable of switching the boosted voltage boosted by the charge pump circuit. The control circuit further includes a control circuit for executing data programming processing by the programming circuit by switching the selection indication.

Abstract: A non-transitory computer-readable recording medium stores a learning program that causes a computer to execute a machine learning process for graph data. The machine learning process includes: generating, from graph data to be subjected to learning, extended graph data where at least some of nodes included in the graph data have a value of the nodes and a value corresponding to presence or absence of an indefinite element at the nodes; and obtaining input tensor data by performing tensor decomposition of the generated extended graph data, performing deep learning with a neural network by inputting the input tensor data into the neural network upon deep learning, and learning a method of the tensor decomposition.

Abstract: A cold storage material, which has a large specific heat and a small magnetization in an extremely low temperature region and has satisfactory manufacturability, is provided, and a method for manufacturing the same is provided. Further, a refrigerator having high efficiency and excellent cooling performance is provided by filling this refrigerator with the above-described cold storage material. Moreover, a device incorporating a superconducting coil capable of reducing influence of magnetic noise derived from a cold storage material is provided. The cold storage material of embodiments is a granular body composed of an intermetallic compound in which the ThCr2Si2-type structure 11 occupies 80% by volume or more, and has a crystallite size of 70 nm or less.

Abstract: An information processing program causes a computer to execute a process including: specifying, from an image that is captured by a camera, a person and a plurality of objects, generating, by inputting the image of the person into a machine learning model, skeleton information on the person, identifying, based on the plurality of objects and the skeleton information, a first feature value associated with one or more first motions of the person who retrieves an object from among the plurality of objects, identifying a second feature value associated with one or more objects registered to a first terminal by the person from among the plurality of object, and generating, based on a difference between the first feature value and the second feature value, an alert indicates that an object retrieved by the person is not registered in the first terminal.

Abstract: A cold storage material, which has a large specific heat and a small magnetization in an extremely low temperature region and has satisfactory manufacturability, is provided, and a method for manufacturing the same is provided. Further, a refrigerator having high efficiency and excellent cooling performance is provided by filling this refrigerator with the above-described cold storage material. Moreover, a device incorporating a superconducting coil capable of reducing influence of magnetic noise derived from a cold storage material is provided. The cold storage material of embodiments is a granular body composed of an intermetallic compound in which the ThCr2Si2-type structure 11 occupies 80% by volume or more, and has a crystallite size of 70 nm or less.

Abstract: A behavior recognition method includes extracting, by a computer, skeleton information including a plurality of joint positions for each frame of an image, calculating a first set of motion feature amounts from the skeleton information, calculating a plot position by plotting the first set of motion feature amounts on a feature amount space defined by a second set of motion feature amounts, the plot position being a position where the first set of motion feature amounts is plotted on the feature amount space, the feature amount space having a plurality of mapping areas in which respective ranges corresponding to predetermined higher-level behaviors to be recognized are mapped, and expanding, when a degree of divergence from a minimum distance to other distances among distances between the plot position and each of the plurality of mapping areas satisfies a predetermined criterion, a mapping area at the minimum distance from the plot position.

Abstract: A brain measurement apparatus includes: a static magnetic field forming unit for forming a static magnetic field in a measurement area; a gradient magnetic field coil for forming a gradient magnetic field in the measurement area; a transmission coil for transmitting a transmission pulse toward a subject in the measurement area; a detection coil for detecting a nuclear magnetic resonance signal generated in the subject by transmission of the transmission pulse; and a generator for generating an MR image based on the nuclear magnetic resonance signal detected by the detection coil.

Abstract: A brain measurement apparatus configured to generate an MR image and a brain's magnetic field distribution of a subject includes: an MRI module having a transmission coil configured to transmit a transmission pulse toward the subject and a detection coil configured to detect a nuclear magnetic resonance signal generated in the subject by the transmission pulse; an optically pumped magnetometer configured to detect a brain's magnetic field of the subject; a generator configured to generate the MR image based on the nuclear magnetic resonance signal detected by the detection coil and generating the brain's magnetic field distribution based on the brain's magnetic field detected by the optically pumped magnetometer; a marker displayed on the MR image generated by the generator; and a helmet-type frame to which the detection coil, the optically pumped magnetometer, and the marker are attached and which is attached to a head of the subject.

Abstract: An optically pumped magnetometer includes cells configured to form a first cell region and a second cell region on a measurement target, a pump laser, a probe laser, a first optical system configured to cause pump light to be incident on the first cell region, a second optical system configured to cause the pump light having passed through the first cell region to be incident on the second cell region, a third optical system configured to cause first probe light to be incident on the first cell region, a fourth optical system configured to cause second probe light to be incident on the second cell region, detection portions configured to detect the first probe light having passed through the first cell region and the second probe light having passed through the second cell region, and a deriving portion configured to derive an intensity of a magnetic field.

Abstract: A non-transitory computer-readable recording medium stores a learning program that causes a computer to execute a process including: extracting, from a plurality of data groups, a plurality of first data groups having an order; generating, for each data element corresponding to each of the first data groups, an ordered data matrix in which data elements having same order have value corresponding to relationship among the data elements and data elements having different orders have values corresponding to the different orders; and obtaining input tensor data by performing tensor decomposition with the ordered data matrix, inputting the input tensor data to a neural network at time of performing deep machine learning, performing deep machine learning of the neural network, and learning about method for the tensor decomposition.

Abstract: Semiconductor devices laterally surrounded by at least one dielectric material portion are formed over a substrate. At least one edge seal ring structure is formed around the semiconductor devices and the at least one dielectric material portion. One or more of the at least one edge seal ring structure has a horizontal cross-sectional profile that includes laterally-extending regions that extend laterally with a uniform width between an inner sidewall and an outer sidewall, and notch regions connecting neighboring pairs of the laterally-extending regions and having a greater width than the uniform width. Cavities in the laterally-extending regions are connected to cavities in the notch regions to allow outgassing from the material of the at least one edge seal ring structure.