Abstract: Provided is a method for activating T cells comprising the step of activating T cells in a medium containing a CD3 agonist and/or a CD28 agonist for more than 36 hours and less than 48 hours; a method for producing genetically modified T cells, comprising the steps of activating T cells according to the activation method, introducing an exogenous gene into the activated T cells, and culturing the T cells into which the exogenous gene has been introduced; a cell population comprising genetically modified T cells obtained by the production method; and a matrix of mobile polymer chains or a bead supporting a CD3 agonist and/or a CD28 agonist, wherein the matrix or bead is used for being added to a medium and subjecting T cells to an activation step for more than 36 hours and less than 48 hours.

Abstract: An information processing system (10) comprises: a rotation control unit (110) that makes a first camera (18) and a second camera (19) having a same rotation axis rotate on the rotation axis depending on a position of a target to be imaged; an acquisition unit (120) that acquires a first living body information from an image taken by the first camera and acquires a second living body information from an image taken by the second camera; an authentication unit (130) that executes authentication processing using the first living body information and the second living body information; and an execution unit (140) that executes, in a case that the authentication processing is successful, predetermined processing in a facility that the target uses. By such an information processing system, it is possible to execute authentication processing on the target with high accuracy and appropriately execute the predetermined processing.

Abstract: An identification device including a generation unit and an information identification unit. The generation unit generates factor information relating to pulse-wave information with respect to an identification target in accordance with biological model information representing a relevance between pulse-wave information representing a pulse wave and the factor information representing a factor of pulse wave. The information identification unit selects certain list information satisfying a predetermined determination criterion of the factor information generated by the generation unit out of list information associating the factor information generated based on the pulse-wave information representing a pulse wave of a biological subject to be an identification target with identification information for identifying the biological subject, and identifies the identification information in the selected certain list information.

Abstract: Provided are a prediction device and the like capable of more accurately simulating an analysis target. The prediction device generates function information for a gene sequence of a living body to be an analysis target based on first model information representing a relevance between sequence information and the function information, the sequence information representing the gene sequence of the analysis target, the function information representing a function potentially expressed by the gene sequence; and generates prediction information representing observation information predicted for the analysis target based on second model information and the function information, the second model information representing a relevance among the function information of the living body, environment information representing an environment around the living body, and the observation information observed for the living body, the function information being generated for the gene sequence of the analysis target.

Abstract: Provided is an information processing device, etc., that provides information which is the basis for quick detection of abnormalities that occur in a device. An information processing device calculates a degree of suitability between observation information and prediction information, the observation information observed for a system suffering an effect from an certain device, the prediction information predicted in accordance with a model for a state of the system; and calculates a difference between manipulation amount to the certain device and predictive manipulation amount predicted for the manipulation amount based on the model, the difference being a difference in case that the degree satisfies a predetermined calculation condition.

Abstract: Provided are an abnormality determination device and the like that are able to accurately determine abnormalities regarding an inspection subject. The abnormality determination device is configured to calculate a scatter degree of differences between prediction information on an observation target and observation information on the observation target, the prediction information being an information generated in accordance with a scenario that represents an aspect of state change of the observation target, the observation information generated by an inspection target; and determine whether or not the inspection target is abnormal based on the calculated degree.

Abstract: The information processing device estimates one of event and factor by giving model information the other; generates association information, the model information representing relevance between an event that occurs on a target and the factor that occurs before the event, the association information associating first event information that represents the event obtained as the estimation result with first factor information that represents the given factor or associating second event information that represents the given event with second factor information that represents the factor obtained as the estimation result; and specifies the factor of third event information representing an event occurred on the target based on the model information by using the third event information and, at least, one of the first event information and the second event information included in the association information.

Abstract: Provided are a prediction device and the like capable of more accurately simulating an analysis target. The prediction device generates function information for a gene sequence of a living body to be an analysis target based on first model information representing a relevance between sequence information and the function information, the sequence information representing the gene sequence of the analysis target, the function information representing a function potentially expressed by the gene sequence; and generates prediction information representing observation information predicted for the analysis target based on second model information and the function information, the second model information representing a relevance among the function information of the living body, environment information representing an environment around the living body, and the observation information observed for the living body, the function information being generated for the gene sequence of the analysis target.

Abstract: Provided are an information processing device and the like with which a process for raising agricultural products can be evaluated accurately. The information processing device calculates ingestion resource volume based on farming information regarding to farming work in a process of cultivating a target crop in a target field, the ingestion resource volume representing ingestible volume of the target crop cultivated along the farming information; and generates risk information representing a risk degree of yield decrease of the target crop based on necessary resource volume required for growing the target crop and the ingestion resource volume.

Abstract: An identification device including a wave extraction unit, a time difference unit, and an information identification unit. The wave extraction unit extracts an ejection wave occurring in reply to heartbeat and a reflected wave occurring in reply to passage of blood outflowing from a heart through a bifurcation of blood vessels, from pulse wave information representing a pulse wave of an identification target. The time difference unit generates time-difference information representing a time difference between the extracted ejection wave and the extracted reflected wave.

Abstract: An identification device including a generation unit and an information identification unit. The generation unit generates factor information relating to pulse-wave information with respect to an identification target in accordance with biological model information representing a relevance between pulse-wave information representing a pulse wave and the factor information representing a factor of pulse wave. The information identification unit selects certain list information satisfying a predetermined determination criterion of the factor information generated by the generation unit out of list information associating the factor information generated based on the pulse-wave information representing a pulse wave of a biological subject to be an identification target with identification information for identifying the biological subject, and identifies the identification information in the selected certain list information.

Abstract: In order to provide a farming schedule matching a growing environment for crops and increase reliability of farming support, the present invention comprises: an indicator value calculation unit that calculates indicator values at which the growth of crops is hindered, during a period including at least an observation period in which the effects of farming work performed in order to grow crops are observed; and a schedule generation unit that, in order to reduce the indicator values calculated by the indicator value calculation unit, generates a schedule for farming work performed on crops during a prescribed farming period being a period prior to the observation period.

Abstract: Provided are an abnormality determination device and the like that are able to accurately determine abnormalities regarding an inspection subject. The abnormality determination device is configured to calculate a scatter degree of differences between prediction information on an observation target and observation information on the observation target, the prediction information being an information generated in accordance with a scenario that represents an aspect of state change of the observation target, the observation information generated by an inspection target; and determine whether or not the inspection target is abnormal based on the calculated degree.

Abstract: Provided is an information processing device, etc., that provides information which is the basis for quick detection of abnormalities that occur in a device. An information processing device calculates a degree of suitability between observation information and prediction information, the observation information observed for a system suffering an effect from an certain device, the prediction information predicted in accordance with a model for a state of the system; and calculates a difference between manipulation amount to the certain device and predictive manipulation amount predicted for the manipulation amount based on the model, the difference being a difference in case that the degree satisfies a predetermined calculation condition.

Abstract: Provided are an information processing apparatus and the like for providing information that serves as a basis for estimating a state relating to an object with high precision. The information processing apparatus is configure to select certain sets satisfying a first criterion among a plurality of the sets, the set including status information that represents a state of a target in association with a possibility of a scenario that represents aspect of change of the status information, the first criterion being a criterion that the certain sets are not far from another sets in, at least, a part of the sets or that the certain sets are similar to another sets in, at least, a part of the sets; and obtain status information associated with a set having a possibility satisfying a predetermined selection criterion in the selected certain sets.

Abstract: Provided are an information processing apparatus and the like for providing information that serves as a basis for estimating a state relating to an object with high precision. The information processing apparatus is configured to determine relevance between status information representing a state of a target and a possibility of a scenario representing aspect of change of the state information; and determine state information in case that the possibility satisfies a predetermined selection criterion based on the determined relevance.

Abstract: A simulation device includes a system model, a data selection processing unit, a plurality of observation models, a post-distribution creating unit, a post-distribution unifying unit, and a determining unit. The system model calculates a time evolution of a state vector. The data selection processing unit selects multiple items of observation data. The observation model converts the state vector from the system model on the basis of the relationship with the observation data. The post-distribution creating unit creates, on the basis of the state vector from the observation model and the selected observation data, a first post-distribution based on all pieces of the observation data or a second post-distribution based on absent observation data. The post-distribution unifying unit unifies the first and second post-distributions. The determining unit determines which of the second post-distribution or the unified post-distribution is to be used.

Abstract: Disclosed is an information processing device that executes a simulation with high accuracy. The information processing device calculates a prediction value reflecting uncertainty of the mathematical model on basis of first-parameters values assumed to be constant at grid points generated by discretizing a calculation domain of the simulation, second-parameters values assumed to be inconstant, and given data; iteratively updates the prediction values and the second-parameters values to improve a degree of consistency between the prediction values and observation values reflecting uncertainty; and iteratively updates the first-parameters value and controls update processing of the prediction values and the second-parameters.

Abstract: A simulation device and the like are provided such that predicting capability and calculation resource efficiency can be both improved.

Abstract: A simulation device includes a system model, a data selection processing unit, a plurality of observation models, a post-distribution creating unit, a post-distribution unifying unit, and a determining unit. The system model calculates a time evolution of a state vector. The data selection processing unit selects multiple items of observation data. The observation model converts the state vector from the system model on the basis of the relationship with the observation data. The post-distribution creating unit creates, on the basis of the state vector from the observation model and the selected observation data, a first post-distribution based on all pieces of the observation data or a second post-distribution based on absent observation data. The post-distribution unifying unit unifies the first and second post-distributions. The determining unit determines which of the second post-distribution or the unified post-distribution is to be used.