Abstract: An image processing apparatus includes a processor configured to impose a group of pages on a single sheet as a target for reprinting and perform reprinting, the group of pages being referred to as printing-error pages, each of the pages having been printed with a printing error that occurred while multiple pages imposed on one or more sheets were printed.

Abstract: A silica particle includes: a quaternary ammonium salt, in which the following expressions are satisfied, 0.90?FBEFORE/FAFTER?1.10, and 5?FSINTERING/FBEFORE?20, in which FBEFORE represents a maximum frequency value of a pore diameter of 2 nm or less in the silica particles before washing, which is obtained from a pore distribution curve in a nitrogen gas adsorption method, FAFTER represents a maximum frequency value of the pore diameter of 2 nm or less in the silica particles after washing, which is obtained from the pore distribution curve in the nitrogen gas adsorption method, and FSINTERING represents a maximum frequency value of the pore diameter of 2 nm or less in the silica particles before washing and after sintering at 600° C., which is obtained from the pore distribution curve in the nitrogen gas adsorption method.

Abstract: An information processing system includes one or more processors configured to: acquire past printing request information on a printing request received in a past, record information on a record of printing performed by a printer based on the past printing request information, and new printing request information on a newly received printing request; and present a candidate for paper to be used for printing related to the new printing request information based on the past printing request information, information included in the record information and related to paper used for the printing, and an attribute of paper to be used as a print medium. The attribute of paper is identified from the new printing request information.

Abstract: There is provided a pit initiation evaluation system or the like capable of predicting pit initiation effectively and at low cost. In a pit initiation evaluation system of an embodiment, a pit initiation evaluation unit creates and retains, based on a dry-wet alternate time data, a deposit impurity concentration data, and a pit initiation data on pitting corrosion initiated in each of a plurality of turbine stages when an operation is actually performed in the steam turbine, a pit initiation evaluation table presenting a relationship between a dry-wet alternate time, a deposit impurity concentration, and pit initiation. Further, the pit initiation evaluation unit is configured to evaluate, by using the pit initiation evaluation table, pitting corrosion to be initiated in each of the plurality of turbine stages in an operation planned for the steam turbine.

Abstract: In an approach to improve file recall between storage devices by optimizing file recall for multiple users. Embodiments of the present invention obtain one or more similarities among one or more users based on one or more usage points and divide the one or more users into a plurality of clusters based on a content of the one or more usage points. Further, embodiments select a cluster from the plurality of clusters based on cluster importance, and select the content used by more than a predetermined percentage of the weighted users pertaining to the selected cluster as an automated recall subject. Additionally, embodiments recal one or more selected content from a secondary storage device to a primary storage device.

Abstract: File number segments to be used within simulations can be defined. Tape division regions to be used within simulations can be defined. Times to locate each file number segment for each tape division region according to a first locate method can be simulated. Times to locate each file number segment for each tape division region according to a second locate method can be simulated. The simulated times for each locate method can be applied to a set of defined total file numbers to determine the time to locate each defined total file number for each locate method, file number segment, and tape division region combination.

Abstract: File number segments to be used within simulations can be defined. Tape division regions to be used within simulations can be defined. Times to locate each file number segment for each tape division region according to a first locate method can be simulated. Times to locate each file number segment for each tape division region according to a second locate method can be simulated. The simulated times for each locate method can be applied to a set of defined total file numbers to determine the time to locate each defined total file number for each locate method, file number segment, and tape division region combination.

Abstract: A computer-implemented method according to one embodiment includes receiving, at a first system, a command to start encryption. In response to receiving the command to start encryption, a pair of keys are created on the first system. The pair of keys includes a public key and a secret key. The method further includes outputting the public key to a second system and saving the secret key on the first system. A command encrypted using the public key is received by the first system. The encrypted command is decrypted on the first system using the secret key and the decrypted command is executed. A computer program product according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method.

Abstract: In an approach to improve file recall between storage devices by optimizing file recall for multiple users. Embodiments of the present invention obtain one or more similarities among one or more users based on one or more usage points and divide the one or more users into a plurality of clusters based on a content of the one or more usage points. Further, embodiments select a cluster from the plurality of clusters based on cluster importance, and select the content used by more than a predetermined percentage of the weighted users pertaining to the selected cluster as an automated recall subject. Additionally, embodiments recal one or more selected content from a secondary storage device to a primary storage device.

Abstract: Aspects of the present invention disclose a method for assisting a stalled autonomous vehicle in an incommunicable area. The method includes one or more processors determining a route of an autonomous vehicle. The method further includes identifying an area of the route of the autonomous vehicle that includes a communication outage. The method further includes determining a driving difficulty of one or more segments of the route of the autonomous vehicle within the area. The method further includes determining a location of the autonomous vehicle within a segment of the one or more segments of the route based at least in part on the driving difficulty of the segment.

Abstract: Utilizing a trained generative adversarial network (GAN) model to cause a computer to output multivariate forecasted time-series data by providing a trained GAN model, the GAN model comprising dilated convolutional layers for receiving time-series multivariate data, receiving time-series multivariable biometric data, generating, using the GAN model, successive time series multivariate biometric data according to the time-series multivariate biometric data, determining an outcome according to the successive time-series multivariate biometric data, and providing an output associated with the outcome.

Abstract: A computer-implemented method according to one embodiment includes receiving, at a first system, a command to start encryption. In response to receiving the command to start encryption, a pair of keys are created on the first system. The pair of keys includes a public key and a secret key. The method further includes outputting the public key to a second system and saving the secret key on the first system. A command encrypted using the public key is received by the first system. The encrypted command is decrypted on the first system using the secret key and the decrypted command is executed. A computer program product according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method.

Abstract: Aspects of the present invention disclose a method for assisting a stalled autonomous vehicle in an incommunicable area. The method includes one or more processors determining a route of an autonomous vehicle. The method further includes identifying an area of the route of the autonomous vehicle that includes a communication outage. The method further includes determining a driving difficulty of one or more segments of the route of the autonomous vehicle within the area. The method further includes determining a location of the autonomous vehicle within a segment of the one or more segments of the route based at least in part on the driving difficulty of the segment.

Abstract: Utilizing a trained generative adversarial network (GAN) model to cause a computer to output multivariate forecasted time-series data by providing a trained GAN model, the GAN model comprising dilated convolutional layers for receiving time-series multivariate data, receiving time-series multivariable biometric data, generating, using the GAN model, successive time series multivariate biometric data according to the time-series multivariate biometric data, determining an outcome according to the successive time-series multivariate biometric data, and providing an output associated with the outcome.

Abstract: A training apparatus 1000 using a method of decoding nerve activity includes: a brain activity detecting device 108 for detecting brain activity at a prescribed area within a brain of a subject; and an output device 130 for presenting neurofeedback information (presentation information) to the subject. A processing device 102 decodes a pattern of cranial nerve activity, generates a reward value based on a degree of similarity of the decoded pattern with respect to a target activation pattern obtained in advance for the event as the object of training, and generates presentation information corresponding to the reward value.

Abstract: Provided is a method of analyzing brain activities for realizing a biomarker for neurological/mental disorder, based on brain function imaging. From measured data of resting-state functional connectivity MRI of a healthy group and a patient group, correlation matrix (80) of degree of brain activities among prescribed brain regions is derived for each subject. Feature extraction is executed by regularized canonical correlation analysis (82) on the correlation matrix (80) and attributes of the subject including a disease/healthy label of the subject. Based on the result of regularized canonical correlation analysis, by discriminant analysis (86) through sparse logistic regression, a discriminator (88) is generated.

Abstract: Provided is a method of analyzing brain activities for realizing a biomarker for neurological/mental disorder, based on brain function imaging. From measured data of resting-state functional connectivity MRI of a healthy group and a patient group, correlation matrix (80) of degree of brain activities among prescribed brain regions is derived for each subject. Feature extraction is executed by regularized canonical correlation analysis (82) on the correlation matrix (80) and attributes of the subject including a disease/healthy label of the subject. Based on the result of regularized canonical correlation analysis, by discriminant analysis (86) through sparse logistic regression, a discriminator (88) is generated.

Abstract: An immunochromatographic test strip that achieves a shorter reaction completion time and excellent sensitivity is provided. The immunochromatographic test strip comprises: (1) a conjugate pad comprising a sample-supplying section supplying a sample possibly containing an analyte and a line-shaped conjugate section containing a conjugate in which an antibody or antigen immunologically reactive with the analyte is immobilized to a label on the downstream side relative to the sample-supplying section; and (2) an insoluble membrane support having at least one detecting section to which an antibody or antigen immunologically reactive with the analyte is immobilized, the lower surface of the sample-supplying section of the conjugate pad being not in contact with the upper surface of the insoluble membrane support, the lower surface of the conjugate section of the conjugate pad being in contact with the upper surface of the insoluble membrane support.

Abstract: Provided is a brain activity training apparatus for training to cause a change in correlation of connectivity among brain regions, utilizing measured correlations of connections among brains regions as feedback information. From measured data of resting-state functional connectivity MRI of a healthy group and a patient group (S102), correlation matrix of degree of brain activities among prescribed brain regions is derived for each subject. Feature extraction is executed (S104) by regularized canonical correlation analysis on the correlation matrix and attributes of the subject including a disease/healthy label of the subject. Based on the result of regularized canonical correlation analysis, by discriminant analysis through sparse logistic regression, a discriminator is generated (S108). The brain activity training apparatus feeds back a reward value to the subject based on the result of discriminator on the data of functional connectivity MRI of the subject.

Abstract: Provided is a method of analyzing brain activities for realizing a biomarker for neurological/mental disorder, based on brain function imaging. From measured data of resting-state functional connectivity MRI of a healthy group and a patient group, correlation matrix (80) of degree of brain activities among prescribed brain regions is derived for each subject. Feature extraction is executed by regularized canonical correlation analysis (82) on the correlation matrix (80) and attributes of the subject including a disease/healthy label of the subject. Based on the result of regularized canonical correlation analysis, by discriminant analysis (86) through sparse logistic regression, a discriminator (88) is generated.