Abstract: According to one embodiment, a storage device includes a non-volatile memory and a control unit that is electrically connected to the non-volatile memory and that is configured to control the non-volatile memory. The control unit is configured to manage a plurality of management areas obtained by logically partitioning storage area of the non-volatile memory, when a write request is received that includes data for which a valid term has been set, determine, based on the valid term, a first management area from among the management areas, write the data included in the write request to the determined first management area, and when the data written to the first management area is erased, collectively erase all data written in the first management area which includes the data.

Abstract: A pillar delivery method is a method for delivering a plurality of pillars onto a substrate, including a glass panel, to manufacture a glass panel unit. The pillar delivery method includes an irradiation step, a holding step, and a mounting step. The irradiation step includes setting, over a holder, a sheet for use to form pillars and irradiating the sheet with a laser beam to punch out the plurality of pillars. The holding step includes having the plurality of pillars, which have been punched out of the sheet, held by the holder. The mounting step includes picking up some or all of the plurality of pillars from the holder and mounting the pillars onto the substrate.

Abstract: A method for manufacturing a glass panel unit includes an assembling step, a bonding step, a gas exhausting step, a sealing step, and an activating step. The bonding step includes melting a peripheral wall in a baking furnace at a first predetermined temperature to hermetically bond a first glass pane and a second glass pane together with the peripheral wall thus melted. The gas exhausting step includes exhausting a gas from an internal space through an exhaust port in the baking furnace to turn the internal space into a vacuum space. The sealing step includes locally heating to a temperature higher than a second predetermined temperature, and thereby melting, either a port sealing material or an exhaust pipe to seal the exhaust port and thereby obtain a work in progress. The activating step includes activating a gas adsorbent after the sealing step to obtain a glass panel unit.

Abstract: An information processing apparatus includes a processor. The processor acquires a plurality of unknown waveform data of which a determination result of superiority or inferiority based on similarity to an ideal waveform is unknown, performs a determination of the superiority or inferiority for each of the plurality of unknown waveform data based on a plurality of teacher waveform data to which the determination result of the superiority or inferiority is linked, and outputs the superiority or inferiority of the plurality of unknown waveform data in a comparable manner.

Abstract: The information processing apparatus, the information processing method, and the program include at least one processor configured to acquire, in at least one piece of processing of the process, at least one piece of information of chemical information or physical information of an object to be processed and a processed object at two points at which elapses of processing times between before the processing and after the processing are different from each other, acquire a calculation value of a difference between numerical values at the two points that are obtained from the information, and set the difference as an explanatory variable, set the quality of the product as an objective variable, and predict the quality of the product based on the calculation value by using a trained model obtained by performing machine learning based on a known data set of the explanatory variable and the objective variable.

Abstract: An object of the present invention is to provide a film forming method capable of improving a film forming speed in the film formation by an aerosol deposition. The object is achieved by aerosolizing a raw material liquid including a film forming material, supplying the generated aerosol to a base material vibrating at a frequency of 10 kHz or less, and forming a film including the film forming material on the base material.

Abstract: A prediction-data-set-generation-unit generates a prediction-data-set composed of a plurality of prediction-data where an explanatory-variable for an unknown-value of a response-variable and a prediction-value of the response-variable are associated with each other by using a known-data-set. A first-actual-measurement-value-acquisition-unit acquires an actual-measurement-value of the response-variable included in the prediction-data where the prediction-value is closest to a target-value. An improvement-rate-calculation-unit calculates an improvement-rate representing a difference between a known-value of the response-variable closest to the target-value and the actual-measurement-value. A known-data-set-update-unit adds the actual-measurement-value and a value of the explanatory-variable corresponding to the actual-measurement-value to the known-data-set in a case where the improvement-rate is equal to or higher than a target improvement-rate.

Abstract: An object of the present invention is to provide a film forming method capable of forming a film by an aerosol deposition with high accuracy patterning. The object of the present invention is achieved by aerosolizing a raw material liquid including a film forming material; supplying the aerosol to a base material; and forming a film of the film forming material on the base material, in which the base material has, on a film forming surface, a liquid-repellent region which has liquid repellency to the raw material liquid and a lyophilic region which has lyophilicity to the raw material liquid, and in a case where a width of the liquid-repellent region is L and a diameter of the aerosol is D, “D>L” is satisfied.

Abstract: There are provided a learning apparatus, an operation method of the learning apparatus, an operation program of the learning apparatus, and an operating apparatus capable of further improving accuracy of prediction of a quality of a product by a machine learning model in a case where learning is performed by inputting, as learning input data, multi-dimensional physical-property relevance data, which is derived from multi-dimensional physical-property data of the product, to the machine learning model. In the learning apparatus, a first processor derives, as learning input data, multi-dimensional physical-property relevance data which is related to multi-dimensional physical-property data. A first processor inputs the learning input data to the machine learning model, performs learning, and outputs the machine learning model as a learned model to be provided for actual operation.

Abstract: There are provided a learning apparatus, an operation method of the learning apparatus, a non-transitory computer readable recording medium storing an operation program of the learning apparatus, and an operating apparatus capable of further improving accuracy of prediction of a quality of a product by a machine learning model in a case where learning is performed by inputting, as learning input data, multi-dimensional physical-property relevance data, which is derived from multi-dimensional physical-property data of the product, to the machine learning model.

Abstract: The optimization support device includes a first conversion unit that converts an operating condition parameter indicating an operating condition of a process for producing a product into a state parameter indicating a state of the process, and a second conversion unit that converts the state parameter into a quality parameter indicating a quality of the product.

Abstract: A flow reaction facility 10 includes a reaction section 23, a collecting section 26, a system controller 15, a first flow velocimeter to a third flow velocimeter 35a to 35c, a thermometer 35d, and a soft sensor 38. The first flow velocimeter to the third flow velocimeter 35a to 35c and the thermometer 35d detect reaction conditions in the reaction section 23, and output the detected reaction conditions as detection information. The soft sensor 38 applies the above detection information to a prediction function generated in advance using measurement data, and calculates a reaction result in the reaction section 23 as an arithmetic reaction result. The system controller 15 controls the reaction section 23 on the basis of the arithmetic reaction result.

Abstract: The invention provides a laminated assembly dedicated to an enhanced heat discharge type electronic device application by providing an enhanced thermal performance to a silicon device. A graphite thin film/silicon substrate laminated assembly is provided by cleaning the surfaces of a smoothed graphite thin film and a silicon substrate under deaeration conditions for activation, thereby bringing them close to each other for spontaneous bonding. In such a laminated assembly wherein the graphite thin film is provided on the silicon substrate, the silicon substrate and graphite thin film come into contact directly via an interface.

Abstract: A data generation device generates a data set consisting of a plurality of pieces of learning data for training a neural network in which a plurality of layers are connected by a plurality of connection weights, the neural network outputting a production result corresponding to a process condition in a case where the process condition is input in a process for producing a product. At this time, assuming that a total number of the connection weights of the neural network is M0, a plurality of the process conditions of 2×M0 or more are set. In addition, a production result corresponding to each of the plurality of process conditions is acquired, which is derived by producing the product under each of the plurality of process conditions. The plurality of pieces of learning data consisting of the plurality of process conditions and the production result are generated as the data set.

Abstract: A flow reaction facility 10 includes a reaction section 23, a collecting section 26, a system controller 15, a first flow velocimeter to a third flow velocimeter 35a to 35c, a thermometer 35d, and a soft sensor 38. The first flow velocimeter to the third flow velocimeter 35a to 35c and the thermometer 35d detect reaction conditions in the reaction section 23, and output the detected reaction conditions as detection information. The soft sensor 38 applies the above detection information to a prediction function generated in advance using measurement data, and calculates a reaction result in the reaction section 23 as an arithmetic reaction result. The system controller 15 controls the reaction section 23 on the basis of the arithmetic reaction result.

Abstract: A program for operating a cell culture support apparatus causes a computer to function as a first acquisition unit, a second acquisition unit, and a first derivation unit. The first acquisition unit acquires a learned model indicating a relationship between an initial culture process and a production culture process, derived by performing machine learning on the basis of initial record data for learning including a set of culture condition data indicating a record of culture conditions and culture result data indicating a record of culture results in the initial culture process, and production record data for learning, corresponding to the initial record data for learning and including a set of culture condition data indicating a record of culture conditions and culture result data indicating a record of culture results in the production culture process.

Abstract: A flow reaction support apparatus includes a computing section and a determination section. The computing section generates a prediction data set by calculating a prediction result for each reaction condition whose reaction result is unknown, using measurement data. The computing section extracts the reaction condition of the prediction result closest to a target result as an extracted reaction condition. The determination section determines whether or not a difference between the reaction result under the extracted reaction condition and the prediction result is within an allowable range, and adds, in a case where the difference is not within the allowable range, reaction information in which the extracted reaction condition and the reaction result are associated with each other to the measurement data.

Abstract: A program for operating a cell culture support apparatus causes a computer to function as a first acquisition unit, a second acquisition unit, a first derivation unit, and an output control unit. The first acquisition unit acquires a learned model, derived by performing machine learning on the basis of a set of time-series data for learning indicating a time transition of an amount of each of plural types of components constituting a medium used for cell culture and good/bad data indicating good or bad of a result of the cell culture in correspondence with the time-series data for learning, indicating a guideline of the amount. The second acquisition unit acquires time-series data for analysis indicating the time transition of the amount.

Abstract: An object of the present invention is to provide a film forming method capable of improving a film forming speed in the film formation by an aerosol deposition. The object is achieved by aerosolizing a raw material liquid including a film forming material, supplying the generated aerosol to a base material vibrating at a frequency of 10 kHz or less, and forming a film including the film forming material on the base material.

Abstract: An object of the present invention is to provide a film forming method capable of forming a film by an aerosol deposition with high accuracy patterning. The object of the present invention is achieved by aerosolizing a raw material liquid including a film forming material; supplying the aerosol to a base material; and forming a film of the film forming material on the base material, in which the base material has, on a film forming surface, a liquid-repellent region which has liquid repellency to the raw material liquid and a lyophilic region which has lyophilicity to the raw material liquid, and in a case where a width of the liquid-repellent region is L and a diameter of the aerosol is D, “D>L” is satisfied.