Abstract: A linear motion guide unit includes a rail, a slider, and a plurality of balls. The slider includes a coil spring arranged in a first circulation passage so as to extend in a longitudinal direction. The coil spring includes a pair of first regions provided at both ends in the longitudinal direction and fitted in the first circulation passage, and a second region smaller in diameter than the pair of first regions and positioned between the pair of first regions with a gap from an inner wall surface of the first circulation passage.

Abstract: An assembly structure for assembling a first part to a second part includes a first assembly portion provided in the first part and a second assembly portion provided in the second part. The first assembly portion includes a base, an engagement portion that elastically-deformable and protrudes from the base, and a hole formed in a circumference of a connection portion at which the engagement portion is connected to the base. The second assembly portion includes a locking portion that is engaged with the engagement portion to lock the first and second assembly portions together, and a projection that is inserted into the hole. In a state in which the projection is inserted into the hole, the engagement portion is engaged with the locking portion.

Abstract: To provide a temperature adjustment stage that can efficiently heat a cartridge in accordance with necessity of heating each well. A temperature adjustment stage for heating a cartridge in which a plurality of wells that store a liquid are formed. The cartridge is used in an inspection system that detects an object captured by an immunoreaction, the wells include a labeled antibody well that stores a labeled antibody that labels the object, and there is provided a structure that does not heat the labeled antibody well.

Abstract: There is provided a model selection apparatus including: an evaluation model storage unit configured to store each of a plurality of evaluation models capable of outputting an index for evaluating a state of a facility that is configured to manufacture a product from a raw material, in association with the raw material; a property data acquisition unit configured to acquire property data indicating a property of the raw material which is used in the facility; a model selection unit configured to select a target model for evaluating the state of the facility based on the property data, from among the plurality of evaluation models, when a target raw material in the facility is used; and a target model output unit configured to output the target model.

Abstract: An evaluation model generating apparatus, including: a property data obtaining unit which obtains property data representing a property of a raw material to be used in equipment that manufactures a product from the raw material; a determining unit which determines, based on the property data, whether to generate an evaluation model that outputs an indicator obtained by evaluating a state of the equipment; and an evaluation model generating unit which generates, according to a result of the determining, the evaluation model by machine learning, is provided. In the evaluation model generating apparatus, the determining unit may determine, if it is judged that a target raw material is not similar in property to a raw material that has been used in the past based on the property data, to generate the evaluation model.

Abstract: An estimation apparatus is provided, including an abnormality index acquisition unit for acquiring, as an abnormality index, an evaluation index output by an evaluation model according to state data being input when an abnormality occurs in a facility, among the state data indicating a state of the facility when an operation model is used to control a control target, the operation model being generated by reinforcement learning where an output of the evaluation model trained by machine learning to output the evaluation index in accordance with the state of the facility is set as at least a part of a reward, and outputting an action in accordance with the state of the facility; an estimation unit for estimating which of the evaluation model or the operation model is a main cause of the abnormality; and an output unit for executing an output in accordance with a result of the estimate.

Abstract: Provided is a model selection apparatus including a candidate model storage unit configured to store a plurality of candidate models each of which is generated by reinforcement learning using, as at least a part of a reward, an output of an evaluation model configured to output an indicator obtained by evaluating a state of equipment and is capable of output an action, a state data acquisition unit configured to acquire a plurality of pieces of state data representing the state of the equipment in a case where each of manipulated variables based on outputs of the plurality of candidate models is applied to a controlled object in the equipment, an indicator acquisition unit configured to acquire a plurality of indicators, a model selection unit configured to select an object model for controlling the controlled object, and an object model output unit configured to output the object model.

Abstract: Provided is a model verification apparatus including a model storage unit configured to store a machine learning model that has been subjected to machine learning, by using a learning sample including state data indicating a state of equipment in which a controlled object is provided and action data indicating an action for deciding a manipulated variable to be applied to the controlled object, so as to output an action according to the state of the equipment, a learning range identification unit configured to identify a learning range indicating a range of the learning sample, a verification data acquisition unit configured to acquire verification data indicating a plurality of states of the equipment outside the learning range, and a verification result output unit configured to output a verification result indicating a plurality of actions to be output by the machine learning model in response to an input of the verification data.

Abstract: Provided is an apparatus including: a storage unit configured to store an account having a use authority for each of a plurality of learning algorithms; a use control unit configured to restrict use of each learning algorithm to a user of an account having a use authority for the learning algorithm; and a learning processing unit configured to perform learning processing of a learning model by one learning algorithm of the plurality of learning algorithms by using learning data supplied from a user of an account having a use authority for the one learning algorithm.

Abstract: A detection method uses a reaction vessel including a container including a housing part having a first opening opened at an upper portion and a second opening opened at a side portion, and a side wall member fixed to the container so that a capturing region on a metal film is exposed in the second opening. First, a liquid containing a specimen is provided to the housing part. Next, the liquid in the housing part is stirred to capture, into the capturing region, a substance to be detected in the liquid. Next, the metal film is irradiated with light so that surface plasmon resonance occurs in the metal film, and light emitted from the reaction vessel and having a light amount changing depending on the amount of the substance to be detected captured in the capturing region is detected.

Abstract: An assembly structure for assembling a first part to a second part includes a first assembly portion provided in the first part and a second assembly portion provided in the second part. The first assembly portion includes a base, an engagement portion that elastically-deformable and protrudes from the base, and a hole formed in a circumference of a connection portion at which the engagement portion is connected to the base. The second assembly portion includes a locking portion that is engaged with the engagement portion to lock the first and second assembly portions together, and a projection that is inserted into the hole. In a state in which the projection is inserted into the hole, the engagement portion is engaged with the locking portion.

Abstract: Provided is an interface apparatus including an interface unit configured to receive, from an AI processing unit configured to execute at least either processing of generating a model for determining a state of a facility by machine learning or processing of determining the state of the facility using the model, a first command using a protocol of a common form that is not dependent on a cloud platform configured to manage the facility, and a cloud communication unit configured to convert the first command into a second command using a protocol of a first form dependent on a first cloud platform and transmit the second command to the first cloud platform.

Abstract: A specimen containing a substance to be measured is introduced into a flow path of a measurement chip including a flow path which is a cavity for accommodating liquid and a reflecting unit which specularly reflects light which passes through the flow path so as to pass through the flow path again and a measurement value indicating an amount of the substance to be measured in the specimen is acquired. Then, second light acquired when first light including light of a wavelength absorbed by a red blood cell passes through the specimen in the flow path, is reflected by the reflecting unit, and passes through the specimen in the flow path again is detected in a state in which the specimen is present in the flow path. Next, a hematocrit value of the specimen is determined on the basis of a detection result of the second light. Next, a measurement value is corrected on the basis of the hematocrit value.

Abstract: Provided is a determination apparatus including: a determination data acquisition unit for acquiring determination data, which are time series data obtained by measuring a measurement target; a determination data preprocessing unit for preprocessing the determination data by a preprocessing algorithm used for learning a learning model that outputs state of the measurement target; and a determination unit for determining state of the measurement target, based on the preprocessed determination data, using the learning model.

Abstract: Scanning optical system, comprising a rotatable mirror unit including first and second mirror surfaces each inclining relative to a rotation axis, and a light projecting system including a light source which emits light flux toward an object through the mirror unit. The light flux is reflected on the first mirror surface, then to the second mirror surface, and projected so as to scan on the object correspondingly to rotation of the mirror unit. The mirror unit includes multiples pairs of the first and second mirror surfaces, and the respective intersection angles of the multiples pairs are different from each other. In one rotation of the mirror unit, light flux emitted from the light source is reflected on the second mirror surfaces, and is projected sequentially, thereby to scan a measurement range in which the object is measured. Length in a sub scanning direction of the light flux and intersection angles of the multiples pairs correspond to length in a sub scanning direction of the measurement range.

Abstract: To provide a temperature adjustment stage that can efficiently heat a cartridge in accordance with necessity of heating each well. A temperature adjustment stage for heating a cartridge in which a plurality of wells that store a liquid are formed. The cartridge is used in an inspection system that detects an object captured by an immunoreaction, the wells include a labeled antibody well that stores a labeled antibody that labels the object, and there is provided a structure that does not heat the labeled antibody well.

Abstract: An antenna installation configuration includes: a vehicle-mounted apparatus that is mounted to a dashboard of a vehicle, the vehicle-mounted apparatus including a human-machine interface and a main body that is arranged in front of the human-machine interface, relative to a traveling direction of the vehicle; and an antenna attached to the main body, the antenna having a directivity directed toward an inside of a cabin of the vehicle and bypassing the human-machine interface.

Abstract: A surface plasmon fluorescence analysis device that has a chip holder, a light source, an angle adjustment unit, a light sensor, a filter holder, an excitation light cut filter, a scattered light transmission unit, a transmission adjustment unit, and a control unit. As seen in plan view, the area occupied by the scattered light transmission unit is arranged on the excitation light cut filter or on the filter holder and is smaller than the area of a fluorescence transmission region as seen in plan view.

Abstract: A surface plasmon fluorescence analysis device that has a chip holder, a light source, an angle adjustment unit, a light sensor, a filter holder, an excitation light cut filter, a scattered light transmission unit, a transmission adjustment unit, and a control unit. As seen in plan view, the area occupied by the scattered light transmission unit is arranged on the excitation light cut filter or on the filter holder and is smaller than the area of a fluorescence transmission region as seen in plan view.

Abstract: A surface plasmon resonance fluorescence analysis device has a chip holder for holding an analysis chip, a light source for irradiating excitation light, an angle adjustment unit for adjusting the angle of incidence of the excitation light in relation to the interface of a prism and metal film of the analysis chip, an excitation light reflection filter, a first optical sensor for detecting the fluorescence emitted from the analysis chip and transmitted through the excitation light reflection filter, a second optical sensor for detecting the plasmon scattered light emitted from the analysis chip and reflected by the excitation light reflection filter, and a control unit for controlling the angle adjustment unit. The control unit determines an enhancement angle on the basis of the plasmon scattered light detection results of the second optical sensor.