Abstract: An analysis apparatus including a stage, an analysis device placed on the stage and including receiving sections which accommodate a sample and a reagent for biochemical reaction, and are communicated with one another through a flow path having an inlet and an outlet, a liquid introduction section which is connected to the inlet and supplies into the flow path the sample, the reagent, and an sealing liquid for sealing each of the receiving sections, and a waste liquid storage section which is connected to the outlet and stores as waste liquid an excess of the sample and the reagent and a part of the sealing liquid supplied to the flow path, an optical system which includes an objective lens, emits excitation light to the receiving sections and allows observation of fluorescence generated in the receiving sections by the excitation light, and a control unit that controls such that the sealing liquid and the excess of the sample and the reagent form an interface in the waste liquid storage section, and that the

Abstract: A non-transitory computer-readable storage medium storing a model training program for causing a computer to execute processing including: selecting, from among a plurality of pieces of training data included in a training data set used to train a determination model, training data that have caused the determination model to output a correct determination result during the training of the determination model; presenting, to a user, the correct determination result and a data item that has contributed to the correct determination result among data items included in the selected training data; receiving, from the user, an evaluation of ease of interpretation for the presented data item; and performing, based on a loss function adjusted in accordance with the received evaluation, training of the determination model by using the training data set.

Abstract: A scintillator panel includes a substrate made of an organic material, a barrier layer formed on the substrate and including thallium iodide as a main component, and a scintillator layer formed on the barrier layer and including cesium iodide as a main component. According to this scintillator panel, moisture resistance can be improved by providing the barrier layer between the substrate and the scintillator layer.

Abstract: A scintillator panel 10 includes a substrate 11 having a substrate main surface 11a, a substrate rear surface 11b, and a substrate side surface 11c; and a scintillator layer 12 having a scintillator rear surface 12b formed of a plurality of columnar crystals, a scintillator main surface 12a, and a scintillator side surface 12c. The substrate side surface 11c and the scintillator side surface 12c are substantially flush with each other. In the substrate 11, an angle A1 between the substrate rear surface 11b and the substrate side surface 11c is smaller than 90 degrees.

Abstract: A used secondary battery module management system server manages a manufacture of a battery assembly. The server stores, in a memory, a correspondence relationship of each of secondary battery modules among identification information, ranks, and status information. The server extracts an available rank from the ranks in response to a rebuilding request for the battery assembly. The available rank is a rank in which the number of the secondary battery modules having the status information indicating that the secondary battery modules are available is equal to or larger than the number of the secondary battery modules required to constitute the battery assembly. The server receives, from an external terminal, the identification information on each of selection secondary battery modules having an identical rank.

Abstract: An analysis apparatus including a stage, an analysis device placed on the stage and including receiving sections which accommodate a sample and a reagent for biochemical reaction, and are communicated with one another through a flow path having an inlet and an outlet, a liquid introduction section which is connected to the inlet and supplies into the flow path the sample, the reagent, and an sealing liquid for sealing each of the receiving sections, and a waste liquid storage section which is connected to the outlet and stores as waste liquid an excess of the sample and the reagent and a part of the sealing liquid supplied to the flow path, an optical system which includes an objective lens, emits excitation light to the receiving sections and allows observation of fluorescence generated in the receiving sections by the excitation light, and a control unit that controls such that the sealing liquid and the excess of the sample and the reagent form an interface in the waste liquid storage section, and that the

Abstract: A non-transitory computer-readable recording medium stores therein an extraction program that causes a computer to execute a process including: generating a plurality of combinations of conditions relating to a plurality of item values included in data; calculating an index value that indicates a degree of cooccurrence between a specified response variable and each of the plurality of combinations, by using a machine learning model that estimates a response variable from the plurality of item values, the machine learning model having been trained by using the data; and extracting a specific combination from among the plurality of combinations based on any one of the condition and the index value.

Abstract: A non-transitory computer-readable storage medium storing a model generation program that causes at least one computer to execute a process that includes acquiring, on a first assumption that assumes each of individual data items included in a training data set is easy for a user to interpret, each of first values for each of the individual data items by optimizing an objective function that has a loss weight related to ease of interpretation of the data item by using the training data set; acquiring, on a second assumption that assumes each of the individual data items is not easy, each of second values; selecting a specific data item from the individual data items based on each of the first values and each of the second values for each of the individual data items; and generating a linear model using user evaluation for the specific data item.

Abstract: A scintillator panel includes a substrate made of an organic material, a barrier layer formed on the substrate and including thallium iodide as a main component, and a scintillator layer formed on the barrier layer and including cesium iodide as a main component. According to this scintillator panel, moisture resistance can be improved by providing the barrier layer between the substrate and the scintillator layer.

Abstract: A non-transitory computer-readable recording medium stores therein a learning data selection program that causes a computer to execute a process including: extracting a first input data group relating to first input data in correspondence with designation of the first input data included in an input data group input to a machine learning model, the machine learning model classifying or determining transformed data that is transformed from input data; acquiring a first transformed data group of the machine learning model and a first output data group of the machine learning model, respectively, the first transformed data group being input to the machine learning model and corresponding to the first input data group, the first output data group corresponding to the first transformed data group; and selecting learning target data of an estimation model from the first input data group.

Abstract: A scintillator panel includes a substrate, a resin protective layer formed on the substrate and made of an organic material, a barrier layer formed on the resin protective layer and including thallium iodide as a main component, and a scintillator layer formed on the barrier layer and including cesium iodide with thallium added thereto as a main component. According to this scintillator panel, moisture resistance can be improved due to the barrier layer provided therein.

Abstract: According to an embodiment, a charged particle beam apparatus includes a stage; a chamber; an emission source of the charged particle beam; an electronic optical system configured to emit the charged particle beam; an optical column including the emission source and the electronic optical system; a charged particle detector configured to detect a position of the charged particle beam; a first actuator configured to provide a frequency vibration to the stage based on a first excitation signal; a second actuator configured to provide a frequency vibration to the optical column based on a second excitation signal; a third actuator configured to provide a frequency vibration to the chamber based on a third excitation signal; and a controller configured to generate the first to third excitation signals.

Abstract: A non-transitory computer-readable recording medium stores therein a predicting program that causes a computer to execute: receiving input data to be subjected to prediction; and generating, from training data sets each having explanatory variables and an objective variable, a prediction result, by using a hypothesis set and respective weights of hypotheses included in the hypothesis set, the hypotheses each being formed of a combination of the explanatory variables, classifying any of the training data sets and satisfying a specific condition, the weights being learnt based on whether each of the hypotheses holds true for each of the training data sets. The generating includes determining a value of a variable included in a pseudo-Boolean function such that a probability satisfies a predetermined standard, the probability being a probability that the prediction result satisfies the specific condition, the pseudo-Boolean function including variables corresponding to the explanatory variables.

Abstract: A server inputs behavior information of a target to a trained machine learning model that learn a plurality of association relations obtained by associating combinations of behaviors generated from a plurality of behaviors included in a plurality of training data items with likelihoods indicating certainties that the combinations of the behaviors are in a specific state, the trained machine learning having been trained by using the plurality of training data items obtained by associating combinations of behaviors of persons corresponding to the specific state. The server specifies a difference between the combination of the behaviors in each of the plurality of association relations and the behavior information of the target based on output results of the trained machine learning model, and determines an additional behavior for causing the target to transit to the specific state based on the likelihood the difference.

Abstract: A used secondary battery module management system server manages a manufacture of a battery assembly. The server stores, in a memory, a correspondence relationship of each of secondary battery modules among identification information, ranks, and status information. The server extracts an available rank from the ranks in response to a rebuilding request for the battery assembly. The available rank is a rank in which the number of the secondary battery modules having the status information indicating that the secondary battery modules are available is equal to or larger than the number of the secondary battery modules required to constitute the battery assembly. The server receives, from an external terminal, the identification information on each of selection secondary battery modules having an identical rank.

Abstract: With respect to training data records in which combinations of data item values of data items are individually associated with label information, the data item values are converted based on a criterion per data item into discretized data values. Training processing for training a model that receives the discretized data values as input and performs determination about the label information is performed by using training data records obtained by the conversion. From an execution result of the training processing, feature data records, each of which differently indicates a combination of two or more data items for the determination among the data items, and index values, which indicate importance levels of the feature data records respectively, are acquired. The criterion for the discretization of the data item values is changed based on at least one of the feature data records having been selected based on the index values.

Abstract: A storage medium storing a pattern extraction program that causes a computer to execute a process includes acquiring sample set data associated with both of data item values related to each of a plurality of data items and label information regarding an event; acquiring a plurality of combination patterns, each of which is a combination of the data item values; determining evaluation values for each of the plurality of combination patterns based on a number of samples that satisfy each of the plurality of combination patterns among the samples indicated by the sample set data and a ratio of samples whose label information indicates a certain value to samples that satisfy each of the plurality of combination patterns; and extracting a combination pattern that corresponds to one of the evaluation values that has a local maximum value in the evaluation values from the plurality of combination patterns.

Abstract: A scintillator panel includes a substrate having a substrate main surface, a substrate rear surface, and a substrate side surface; a scintillator layer having a scintillator rear surface formed of a plurality of columnar crystals, a scintillator main surface, and a scintillator side surface; and a protective film covering the scintillator side surface of the scintillator layer. The substrate side surface partially has a coarsened region. The scintillator side surface has a coarse surface including an uneven structure. The protective film closely adheres to the scintillator side surface such that the coarse surfaces are covered.

Abstract: To accurately calculate a location range which a ship is capable of reaching within a prescribed time interval. A signal processing device is configured so as to be equipped with reachable range calculation units 17, 18 which calculate a reachable range, which is the location range a ship is capable of reaching within a prescribed time interval, on the basis of the static information of the ship.

Abstract: A microfluidic device including a microwell array having microwells, and a cover member facing the microwell array with a gap between the cover member and the microwell array, and having a flow path formed in the gap. The cover member has a surface facing the microwell array, and the surface has an arithmetic average roughness Ra of 70 nm or less.