Abstract: A method by one or more computers for learning a machine learning model classifying an input image into known classes and an unknown class by extracting a feature of the input image. The method comprises acquiring a set of features of a plurality of samples of training data each of which is with a label, calculating a loss function based on the set of the features, and learning the machine learning model to reduce the loss function. The loss function is calculated to include a first loss function and a second loss function. The first loss function is configured to become larger as first distances become smaller than a predetermined margin. The second loss function is configured to become larger as second distances become larger and as third distances become smaller.

Abstract: In a learning phase, a processor of a sample observation device: stores design data on a sample in a storage resource; creates a first learning image as a plurality of input images; creates a second learning image as a target image; and learns a model related to image quality conversion with the first and second learning images. In a sample observation phase, the processor obtains, as an observation image, a second captured image output by inputting a first captured image obtained by imaging the sample with an imaging device to the model. The processor creates at least one of the first and second learning images based on the design data.

Abstract: In learning processing performed before sample observation processing (steps S705 to S708), the sample observation device acquires a low-picture quality learning image under a first imaging condition for each defect position indicated by defect position information, determines an imaging count of a plurality of high-picture quality learning images associated with the low-picture quality learning image for each defect position and a plurality of imaging points based on a set value of the imaging count, acquires the plurality of high-picture quality learning images under a second imaging condition (step S702), learns a high-picture quality image estimation model using the low-picture quality learning image and the plurality of high-picture quality learning images (step S703), and adjusts a parameter related to the defect detection in the sample observation processing using the high-picture quality image estimation model (step S704).

Abstract: In order to provide a biological sample analysis apparatus capable of preventing a container storing a sample from being charged and of measuring only a luminescence intensity of light emitted from the sample accurately, a biological sample analysis apparatus for rapid microbiological test analyzes light generated from a biological origin substance contained in a sample, and includes a holder that holds a plurality of containers storing the sample, a photodetector fixed at a predetermined position, a holder drive mechanism that drives the holder and sequentially positions each of the containers held by the holder at a detection position detected by the photodetector, and a neutralizer that neutralizes the containers held by the holder.

Abstract: As a technology for an observation device and an inspection device, a technology capable of reducing a work effort related to generation of a recipe including alignment information is provided. An observation device 1 includes an observation unit 103 that obtains an image for observing a sample 101 on a stage 102. A computer system 2 of the observation device 1 acquires the image from the observation unit 103, specifies a period of a pattern-formed unit region repeatedly formed on a surface of the sample 101 from the image, and generates a recipe including observation or inspection alignment positions of the sample 101 using the specified period.

Abstract: The present invention shortens measurement time of a sample and improves measurement accuracy. The present invention is a biological sample analysis device that stores a sample containing a biological substance and a luminescent reagent in a container, detects luminescence generated by reacting the sample and the luminescent reagent, and analyzes the biological substance, the present invention including a photodetector that detects the luminescence and outputs a light intensity signal, and a calculator that subtracts the light intensity signal obtained before the sample and the luminescent reagent react from the light intensity signal obtained after the sample and the luminescent reagent react to remove light stored in the container, and calculates a value related to an amount of the biological substance.

Abstract: The present invention is one that intends to achieve improvements in both analysis efficiency and analysis accuracy without difficulty, and a biological substance analysis device that analyzes light derived from a biological substance in a sample, and the biological substance analysis device includes: a holder that holds multiple containers containing the sample; a photodetector that is fixed at a predetermined position; a holder driving mechanism that moves the holder to position each of the containers held in the holder at a detection position by the photodetector in sequence; and a light shielding mechanism that, while guiding light emitted from the sample in a container at the detection position to the photodetector, prevents light emitted from the sample in the other containers from being guided to the photodetector.

Abstract: In a stabilizer device, a stabilizer bar having both ends connected to right and left wheel holding portions is supported at a pair of right and left supported portions of the stabilizer bar by a vehicle body via a pair of cylinders that can be extended and retracted based on vertical movement of wheels. The stabilizer device includes two communication passages, each of which allows one of two liquid chambers of one of the pair of cylinders and the other of two liquid chambers of the other cylinder to communicate with each other. The stabilizer device further includes an inter-passage communication passage that allows the two communication passages to communicate with each other, and an on-off valve that is opened and closed to open and close the inter-passage communication passage.

Abstract: There is provided a negative electrode current collector that is used in contact with an aqueous electrolyte solution in an aqueous lithium ion secondary battery, including a surface in contact with the aqueous electrolyte solution, the surface including a material containing at least one selected from the group consisting of Ti, Pb, Zn, Sn, Mg, Zr and In as a main component.

Abstract: The present invention is one for achieving an improvement in analysis accuracy, and a sample analyzing device that measures light emitted by introducing a reagent to a sample contained in a container to analyze the sample, and the sample analyzing device includes: a holder that holds the container; a casing that has a door for taking in/out the holder; a nozzle to/from which a pipette tip for injecting the reagent into the container can be attached/detached; a photodetector that measures the light emitted from the sample in the container supported by the holder; and a disposal box into which the pipette tip after injection is disposed of, in which the disposal box is configured to be arranged in the casing and to be taken in/out via the door.

Abstract: The present invention provides a method for identifying an exosome surface molecule, including blocking and washing a carrier having a binding molecule to the exosome surface molecule immobilized thereon with a casein solution or a decomposed casein solution, and mixing a casein solution or a decomposed casein solution and a test sample containing an exosome before contact of the carrier and the test sample.

Abstract: An Inter-object relation recognition apparatus includes: a first learning device receiving an image, and outputting a first feature amount of the image; a second learning device receiving the first feature amount, outputting a second feature amount, and having a plurality of storage units holding internal states for predetermined steps; a triplet unit having a plurality of triplet-units, the triplet-units receiving the second feature amount, recognizing first to third elements, and constituted of first to third recognition units outputting probability information. The triplet unit selects at least one combination of the first to third elements, based on the probability information of the first to third elements output from the first to third recognition units of each of the triplet units, from the combinations of the first to third elements output from each of the triplet units, and recognizes and outputs the combination as a relation between objects.

Abstract: In a stabilizer device, a stabilizer bar having both ends connected to right and left wheel holding portions is supported at a pair of right and left supported portions of the stabilizer bar by a vehicle body via a pair of cylinders that can be extended and retracted based on vertical movement of wheels. The stabilizer device includes two communication passages, each of which allows one of two liquid chambers of one of the pair of cylinders and the other of two liquid chambers of the other cylinder to communicate with each other. The stabilizer device further includes an inter-passage communication passage that allows the two communication passages to communicate with each other, and an on-off valve that is opened and closed to open and close the inter-passage communication passage.

Abstract: Disclosed is a dual-ion secondary battery of high power and a high level of safety. The dual-ion secondary battery is an aqueous dual-ion secondary battery including: a cathode; an anode; and an aqueous electrolyte solution, wherein the cathode includes graphite as a cathode active material, the anode includes titanium oxide as an anode active material, and the aqueous electrolyte solution contains no less than 10 mol of lithium bis(trifluoromethanesulfonyl)imide per kilogram of water.

Abstract: The present invention is one that intends to achieve improvements in both analysis efficiency and analysis accuracy without difficulty, and a biological substance analysis device that analyzes light derived from a biological substance in a sample, and the biological substance analysis device includes: a holder that holds multiple containers containing the sample; a photodetector that is fixed at a predetermined position; a holder driving mechanism that moves the holder to position each of the containers held in the holder at a detection position by the photodetector in sequence; and a light shielding mechanism that, while guiding light emitted from the sample in a container at the detection position to the photodetector, prevents light emitted from the sample in the other containers from being guided to the photodetector.

Abstract: An object of the present invention is to provide an authentication system and method which can reduce a burden on a user while ensuring security by using a combination of a plurality of authentication methods.

Abstract: When the degree of matching between patterns decreases due to a pattern fluctuation or an appearance fluctuation that has occurred during manufacturing steps, a heavy work burden would be placed on an operator. A data processing unit of a pattern matching apparatus calculates a threshold for determination of matching between a first template image and a partial region of a search target image obtained by capturing an image of the surface of a sample, on the basis of a result of evaluation of a similarity between the search target image and a second template image, the second template image having been captured in a wider range than the first template image.

Abstract: An Inter-object relation recognition apparatus includes: a first learning device receiving an image, and outputting a first feature amount of the image; a second learning device receiving the first feature amount, outputting a second feature amount, and having a plurality of storage units holding internal states for predetermined steps; a triplet unit having a plurality of triplet-units, the triplet-units receiving the second feature amount, recognizing first to third elements, and constituted of first to third recognition units outputting probability information. The triplet unit selects at least one combination of the first to third elements, based on the probability information of the first to third elements output from the first to third recognition units of each of the triplet units, from the combinations of the first to third elements output from each of the triplet units, and recognizes and outputs the combination as a relation between objects.

Abstract: Provided is an aqueous lithium ion secondary battery configured to ensure cycle stability. Disclosed is an aqueous lithium ion secondary battery comprising: an aqueous liquid electrolyte comprising water and an electrolyte, an anode active material layer comprising an anode active material, and an anode current collector, wherein a charge potential of the anode active material calculated from a current value of a reduction peak observed by cyclic voltammetry measurement using the anode active material and the aqueous liquid electrolyte, is a more noble potential than a reduction decomposition potential of the aqueous liquid electrolyte on carbon, and it is a more base potential than the reduction decomposition potential of the aqueous liquid electrolyte on the anode current collector, wherein the anode active material comprises a titanium oxide, and wherein the anode active material comprises a carbon coating layer on a surface thereof.

Abstract: Disclosed is an aqueous electrolyte solution that is difficult to be reduced to be decomposed, and that can improve properties of a lithium ion secondary battery when the solution is applied to the battery. The aqueous electrolyte solution for a lithium ion secondary battery includes: water; a lithium ion; a TFSI anion; and a cation that can form an ionic liquid when the cation forms a salt along with the TSFI anion in an atmospheric atmosphere, the cation being at least one selected from the group consisting of an ammonium cation, a piperidinium cation, a phosphonium cation, and an imidazolium cation.