Abstract: A non-transitory computer-readable recording medium storing an information processing program for causing a computer to execute processing including: acquiring evaluation for any variable that appears in at least any mathematical model of a plurality of mathematical models among a plurality of variables; specifying a frequency of appearance of each variable of the plurality of variables in each mathematical model of the plurality of mathematical models; and determining evaluation for the each mathematical model based on an importance level for the any variable set according to the acquired evaluation and the specified frequency.

Abstract: A data converting device includes a processor that executes a procedure. The procedure includes: for each of plural conversion rules, specifying a difference between pre-conversion data and post-conversion data generated by applying the plural conversion rules respectively to the pre-conversion data; determining application probabilities of the plural conversion rules respectively, in accordance with deviations in first plural data based on a first attribute of the first plural data and the differences for the plurality conversion rules; and generating second plural data by applying the plural conversion rules to the first plural data based on the application probabilities.

Abstract: A microfluidic device includes a substrate having an electromagnetic wave transmission property, a micropore array layer formed on the substrate and having microwells such that the microwells is configured to receive a target of analysis, and a light absorption layer formed over the microwells of the micropore array layer such that the light absorption layer absorbs an electromagnetic wave.

Abstract: The present invention provides a method for producing a catalyst for polymerization of an olefin, which suppresses a decrease in polymerization activity due to early deactivation of the active site after the catalyst has been formed, exhibits excellent catalyst activity at the time of polymerization of olefins, and can produce polymers of olefins, which are excellent in stereoregularity. The method for producing a catalyst for polymerization of an olefin includes contacting a solid catalyst component (A) containing magnesium, titanium, halogen and an internal electron-donating compound, and a specific organoaluminum compound (B) represented by the general formula (I), with each other, wherein at least one selected from the solid catalyst component (A) and the organoaluminum compound (B) is previously subjected to contact treatment with a hydrocarbon compound having one or more vinyl groups.

Abstract: A method is disclosed for producing a catalyst, which suppresses a decrease in polymerization activity due to early deactivation of the active site after the catalyst has been formed, exhibits excellent catalyst activity at the time of polymerization of olefins, and can produce polymers of olefins, which are excellent in stereoregularity. The method for producing a catalyst includes contacting a solid catalyst component (A) containing magnesium, titanium, halogen and an internal electron-donating compound, and a specific organoaluminum compound (B) represented by the general formula (I), with each other, wherein at least one selected from the solid catalyst component (A) and the organoaluminum compound (B) is previously subjected to contact treatment with a hydrocarbon compound having one or more vinyl groups, in an organic solvent containing 30% by mass or more of one or more compounds selected from saturated aliphatic hydrocarbon compounds having 20 or more carbon atoms.

Abstract: A non-transitory computer-readable recording medium stores therein an allocation program that causes a computer to execute a process including: performing, by using a part of data including an objective variable and one or more explanatory variables corresponding to the objective variable as training data, training of a model that predicts the objective variable from the explanatory variables of the data; classifying test data obtained by excluding the training data from the data into a group according to a classification condition regarding at least a part of the explanatory variables of the data; predicting the objective variable from the explanatory variables of the test data using the trained model for each of groups by which classification has been performed at the classifying; and calculating a predetermined resource amount to be allocated to each of the groups based on the objective variable for each of the groups predicted at the predicting.

Abstract: A fluidic device including a substrate having a well array that includes regularly arranged wells that have a same shape and are open to a surface of the substrate, and a cover member facing the well array. The well array and the cover member are positioned to have a space therebetween, which forms a flow path through which a fluid flows, and the wells including a well A and a well B closest to the well A satisfy formula (1): 0.8?Da/Dab<1 . . . (1) where Dab is a distance between a centroid Ca of an opening of the well A and a centroid Cb of an opening of the well B, and Da is a diameter of a circle having a same area as the opening of the well A.

Abstract: An information processing device classifies a plurality of linear models, each of which includes one or more variables, into a plurality of groups in such a way that the linear models which include identical variables included in each of the plurality of linear models and which have identical coefficient encoding with respect to the variables are grouped in the same group, outputs a first question used in deciding degree of importance of each explanatory variable included in training data which is used in training of the plurality of linear models, and, decides on an explanatory variable about which a second question is to be asked, when a linear model in which the degree of importance is reflected is to be selected from the plurality of linear models, based on extent of decrease in number of target groups for selection according to an answer to the first question.

Abstract: A non-transitory computer-readable recording medium stores therein an information processing program that causes a computer to execute a process including, deciding on one or more variables, from among a plurality of variables, to be a target for a question regarding degree of importance, based on order of priority of the variables and estimated amount, the order of priority of the variables being determined based on a plurality of patterns indicating ranking of the plurality of variables, the estimated amount indicating possibility of a match with predetermined condition regarding each of the patterns, and updating the estimated amount based on an answer result of the question about the decided variable.

Abstract: A microfluidic device includes a substrate having an electromagnetic wave transmission property, a lid member facing the substrate and being separated from the substrate such that a flow channel is formed between the substrate and the lid member, a light absorption layer which is placed in the flow channel and absorbs an electromagnetic wave, and a microwell array formed on the substrate and having plural microwells that are open to the flow channel to receive a target of analysis.

Abstract: A non-transitory computer-readable recording medium stores therein a prediction program that causes a computer to execute a process including obtaining a machine learning model trained by using training data, the machine learning model predicting presence or absence of purchase actions or predetermined actions of users corresponding to feature information on the users, the training data including feature information on users and information indicating the presence or the absence of the purchase actions of commercial products or the predetermined actions, receiving input of a budget amount in an entry field displayed on a display in association with a user group including users including a common feature in the feature information, and displaying, in association with the budget amount on the display, feature information on the users included in the user group corresponding to the entry field.

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: 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 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: 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.