Abstract: A target analysis kit includes: a sample holder including: a reagent chamber containing a first reagent; a sample holding portion; and a liquid transfer portion; and an analysis container including: a first chamber containing a second reagent; and a second chamber with a labeling substance contained in the first or second reagent to be detected. A combination of the first and second reagents is any of the combinations (1) to (3) and (4): (1) first reagent is the immobilized second binding substance and second reagent is the labeled first binding substance; (2) first reagent is the labeled first binding substance and second reagent is the immobilized second binding substance; (3) first reagent is the immobilized first binding substance and second reagent is the labeled second binding substance; and (4) first reagent is the labeled second binding substance and second reagent is the immobilized first binding substance.

Abstract: A data transfer system includes a management server 1 for managing user information, browsing setting information that defines a user who can browse data, and transfer setting information that designates a transfer destination of the data, a data transfer apparatus 2 for setting, for the data, browsing authorization that allows only a specific user to browse the content of the data, based on the user information and the browsing setting information, and transferring the data for which the browsing authorization is set to the designated transfer destination based on the transfer setting information, and a data browsing apparatus 3 for determining whether or not a user has the browsing authorization that is set for the data, based on the user information, the browsing setting information, and the transfer setting information, and presenting the content of the data to the user if the user has the browsing authorization.

Abstract: The present invention provides a method for producing a nucleic acid molecule that can obtain a nucleic acid molecule that binds to a target and does not inhibit a function of the target. The production method for a nucleic acid molecule of the present invention is a method for producing a nucleic acid molecule that binds to a first biological molecule and does not inhibit a function of the first biological molecule, the method including the steps of: (A) bringing a candidate nucleic acid molecule into contact with the first biological molecule to select a nucleic acid molecule that has bound to the first biological molecule as a first selected nucleic acid molecule; and (B) selecting the first selected nucleic acid molecule as an intended nucleic acid molecule.

Abstract: The present invention provides a new stock control system that can grasp the stock status of objects to be controlled and is excellent in convenience. The stock control system of the present invention includes a shelf 10; a marker 11; an image acquisition unit 12; a storage unit; an analysis unit; and an alert unit. The shelf 10 is a shelf on which an object to be controlled 20 is placed. The marker 11 is disposed in the shelf 10 at a position where it is shielded from the image acquisition unit 12 due to the placed object to be controlled 20. The image acquisition unit 12 acquires an image of the marker 11. The storage unit updates and stores on-time stock information of the object to be controlled 20 placed on the shelf 10 based on sales information of the object to be controlled 20. The analysis unit analyzes, upon acquisition of the image of the marker 11 by the image acquisition unit 12, the on-time stock information in the storage unit.

Abstract: An action learning device includes an action candidate acquisition unit that extracts a plurality of possible action candidates based on situation information data representing an environment and a situation of a subject, a score acquisition unit that acquires a score that is an index representing an effect expected for a result caused by an action for each of the plurality of action candidates, an action selection unit that selects an action candidate having the largest score from the plurality of action candidates, and a score adjustment unit that adjusts a value of the score linked to the selected action candidate based on a result of the selected action candidate being performed on the environment.

Abstract: A circuit device (10) includes a circuit construction unit (20) having logic circuit deployment areas (21) and (22) in which a logic circuit can be deployed, and a circuit controller (30) configured to deploy a designated logic circuit in a logic circuit deployment area, in which, if a logic circuit that is deployed in one of the logic circuit deployment areas is instructed to be rewritten to a new logic circuit, the circuit controller (30) deploys the new logic circuit in the other logic circuit deployment area, and, after deployment of the new logic circuit has ended, stops operation of the logic circuit that was initially deployed in the one of the logic circuit deployment areas.

Abstract: Provided is a measurement device including a first acquisition unit that acquires depth information indicating a depth for each two-dimensional position, and a measurement unit that measures a walking state of a test subject by using the depth information.

Abstract: A virtual reality image display system includes processor selects an attribute, senses motion of a user, generates a virtual reality image from body image information of the selected attribute, and controls motion of the generated virtual reality image based on information on the sensed motion of the user and displays the virtual reality image in accordance with the controlled motion.

Abstract: The present invention provides a novel nucleic acid molecule that can be used for detection of a wheat allergen. The wheat allergen-binding nucleic acid according to the present invention is characterized in that it binds to a wheat allergen with a dissociation constant of 20 nM or less, and preferably includes a polynucleotide consisting of either of base sequences of SEQ ID NOs: 1 and 2, for example.

Abstract: To automatically determine the invalidity of series data including the predicted value obtained based on assumed conditions. The index computation device 60 includes invalidity score output means 61 that outputs, when series data of a predetermined prediction target item is input, the series data including three or more pieces of data which indicate the value of the prediction target item in association with time, and at least one of which is data indicating a predicted value, an invalidity score that is an index indicating the invalidity of the series data and is based on an error between a curve model obtained by fitting the series data to a predetermined function form and the series data.

Abstract: An information processing apparatus (2000) displays, on a display apparatus (60), a first display (30) that represents a partial image (14) where an object contained therein was not recognized as a product. The information processing apparatus (2000) receives input for selecting one or more first displays (30). The information processing apparatus (2000), upon receiving a predetermined input from a user, ends receiving selection of a first display (30). The information processing apparatus (2000) stores, in a storage apparatus (120), product identification information input to a product information input area (54) and feature information based on a partial image(s) (14) corresponding to a selected first display(s) in association with each other.

Abstract: The present invention provides a novel fluorescent protein. A novel protein includes the following protein (F1): (F1) a protein consisting of an amino acid sequence of SEQ ID NO: 1, wherein in the amino acid sequence of SEQ ID NO: 1, a 52nd amino acid Xaa52 is an arbitrary amino acid, a 133rd amino acid Xaa133 is an arbitrary amino acid, and a 154th amino acid Xaa154 is an arbitrary amino acid.

Abstract: A data conversion processing unit converts a second group including a plurality of reflection point data units in which a reflection point corresponding to each reflection point data unit belongs to a three-dimensional object among a first data unit group into a third group including a plurality of projection point data units by projecting the second group onto a horizontal plane in a world coordinate system. A clustering processing unit clusters the plurality of projection point data units of the third group into a plurality of clusters based on positions of these units on the horizontal plane. A space of interest setting unit sets a space of interest for each cluster by using the plurality of reflection point data units corresponding to the plurality of projection point data units included in each cluster.

Abstract: The present invention provides a system for identifying individual crowns of individual fruit trees using aerial images. A crown identification device 40 of the present invention includes an identification criterion determination unit 41 and a crown identification unit 42.

Abstract: A moving body positioning system of the present invention includes: a GNSS receiver that is included in a moving body and that receives a GNSS signal transmitted from each of one or more satellites and acquires pieces of observation data respectively corresponding to the satellites; an external data acquisition means that acquires external data; a multipath detection means that detects multipath with respect to an observation data group; and a positioning calculation means that performs positioning calculation after a selection of a satellite to be used and a satellite to be excluded on the basis of a result of the multipath detection.

Abstract: The model generation device 60 of the present invention includes regularization parameter candidate setting means 61 that outputs a search set of regularization parameters in which a plurality of solution candidates are set, the solution candidates having at least mutually different values of a regularization parameter that affects a term of a strong regularization variable that is one or more variables specifically defined among the explanatory variables, model learning means that learns a prediction model corresponding to each of the plurality of solution candidates, accuracy evaluation means 62 that evaluates a prediction accuracy of each of the learned prediction models, transition evaluation means 63 that evaluates the number of defective samples, which is the number of samples for which a graph shape or the transition is not valid for each of the learned prediction models, and model determination means 64.

Abstract: A system acquiring data for phenotyping on a farm field where crops are bred. The device includes: an information storage unit storing farm field information, an imaging condition, and aerial images of the farm field linked with imaging condition; a classification unit classifying the aerial images into a plurality of image groups having different imaging altitude ranges on the basis of an imaging altitude included in the imaging condition; an image processing unit creating image-processed data from at least one of the image groups and imaging condition and analyzes a trait of in the farm field from the image-processed data; a visualization unit visualizing image-processed data obtained in the image processing unit; a processed information storage unit storing, as processed information, data obtained in the image processing unit and visualization unit; and an output unit outputting data obtained in the image processing unit and the visualization unit.

Abstract: A virtualized network function management apparatus includes: an orchestration part; a virtualized network function management part; a storage part that holds priority hardware information in which a combination of physical resources, for an individual virtualized network function, as a deployment candidate of the virtualized network function is associated with information about a priority set to the combination of physical resources; and a virtualized infrastructure management part. The virtualized infrastructure management part reserves a combination of physical resources that satisfies resource and constraint information necessary for the virtualized network function in accordance with the priorities in the priority hardware information. Finally, the virtualized network function management apparatus creates a virtual machine by using the reserved combination of physical resources.

Abstract: In a machine learning variable data generating apparatus 1, a text data obtaining unit 11 obtains text data, a variable group classifying unit 12 classifies the text data into a plurality of variable groups, a variable scoring unit 13 scores the data of at least one of the plurality of variable groups by associating that data with the data of another group, and a variable data output unit 14 takes the data of the scored group as a response variable and the data of the other group associated with the scored group as an explaining variable, and outputs those data.