Abstract: The present invention establishes a molecular therapy for glycogen storage disease type Ia. The present invention provides an oligonucleotide of 15-30 bases comprising a nucleotide sequence complementary to die cDNA of G6PC gene with c.648G>T mutation, wherein the oligonucleotide comprises a sequence complementary to a region comprising any site between the 82nd to the 92nd nucleotide from the 5? end of exon 5 of the G6PC gene with c.648C>T mutation, a pharmacologically acceptable salt or solvate thereof. Also provided is a pharmaceutical drug comprising the oligonucleotide, a pharmacologically acceptable salt or solvate thereof (e.g., therapeutic drug for glycogen storage disease type Ia).

Abstract: A non-transitory computer-readable recording medium stores an information determination program causing a computer to execute a process including: classifying a plurality of sentences posted on the Internet into a plurality of clusters based on words contained in the plurality of sentences; extracting a topic from each of the plurality of clusters, the topic indicating a feature of a plurality of sentences included in the concerned cluster; for each of the plurality of clusters, determining a likelihood that a sentence about the topic newly posted on the Internet will turn to disinformation or misinformation based on an occurrence state of sentences considered as a factor for generating disinformation or misinformation in the plurality of sentences included in the concerned cluster; and outputting the topic associated with a cluster, the likelihood of turning of which satisfies a predetermined condition, among the plurality of clusters.

Abstract: A recording medium storing a measurement program for causing a computer to execute a process for measuring an information literacy degree of a user. The process includes measuring a knowledge amount of a user related to an action when responding to suspicious information from a browsed history of a user terminal, specifying the suspicious information among browsed articles included in the browsed history, predicting executable actions by the user from the knowledge amount, detecting, from an operation log of the user terminal, an execution action executed by the user when browsing the suspicious information, and measuring an information literacy degree of the user based on a difference between an action with a best evaluation among the executable actions and the execution action.

Abstract: A generation method includes extracting, by a computer, a tendency of topics shared by a group to which a user of a social networking service belongs; and generating information that indicates, based on the tendency of topics, a probability of the user spreading posted fake information.

Abstract: Provided is a primer pair of primers for methicillin-resistant gene detection for the purpose of achieving highly sensitive methicillin-resistant gene detection. Said primer pair comprises a combination of SEQ ID NO: 3 and SEQ ID NO: 7, a combination of SEQ ID NO: 2 and SEQ ID NO: 9, a combination of SEQ ID NO: 1 and SEQ ID NO: 8, a combination of SEQ ID NO: 1 and SEQ ID NO: 9, a combination of SEQ ID NO: 4 and SEQ ID NO: 11, a combination of SEQ ID NO: 5 and SEQ ID NO: 12, a combination of SEQ ID NO: 6 and SEQ ID NO: 10, or a combination of SEQ ID NO: 6 and SEQ ID NO: 12.

Abstract: A determination method includes: receiving first sensing data that includes either video or voice generated in a first remote call made between a first account and a second account and second sensing data that includes either video or voice generated in a second remote call made between the first account and the second account; referring to a storage unit that stores feature information extracted when a specific situation for a person who corresponds to the first account occurs in the first sensing data in association with the specific situation when occurrence of the specific situation for the person who corresponds to the first account is detected in the second sensing data; and making determination related to spoofing on a basis of a matching state between the feature information for the specific situation in the storage unit and the feature information for the specific situation detected from the second sensing data.

Abstract: A method for identifying a bacterium includes: (1) A step of performing a reverse transcription reaction using a first reaction system consisting of a primer for reverse transcription to prepare a cDNA containing a base sequence for identification of a bacterium of interest, an RNA extracted from the bacterium in a sample, and an enzyme with RNA-dependent DNA polymerase activity to obtain a reaction mixture containing the synthesized cDNA and the primers for the reverse transcription, (2) A step of performing PCR using a second reaction system consisting of the reaction mixture, a primer pair for synthesis of a double-stranded DNA containing the base sequence for identification of the bacterium of interest, and an enzyme with DNA-dependent DNA polymerase activity, and (3) A step of detecting the generation of the double-stranded DNA containing the base sequence for identification of the bacterium of interest from the second reaction system after PCR.

Abstract: Provided is a primer pair of primers for methicillin-resistant gene detection for the purpose of achieving highly sensitive methicillin-resistant gene detection. Said primer pair comprises a combination of SEQ ID NO: 3 and SEQ ID NO: 7, a combination of SEQ ID NO: 2 and SEQ ID NO: 9, a combination of SEQ ID NO: 1 and SEQ ID NO: 8, a combination of SEQ ID NO: 1 and SEQ ID NO: 9, a combination of SEQ ID NO: 4 and SEQ ID NO: 11, a combination of SEQ ID NO: 5 and SEQ ID NO: 12, a combination of SEQ ID NO: 6 and SEQ ID NO: 10, or a combination of SEQ ID NO: 6 and SEQ ID NO: 12.

Abstract: An apparatus includes a memory configured to store training data used for automatically sorting objects. The apparatus acquires a first captured-image that is captured at a first timing before an object-sorting work for sorting objects is performed, and a second captured-image that is captured at a second timing after the object-sorting work has been performed, and extracts, from each of the first captured-image and the second captured-image, a feature amount of an object-image that is an image of an object included in each of the first captured-image and the second captured-image. The apparatus stores, in the memory, as the training data, a first feature amount corresponding to a first object whose object-image is included in both the first captured image and the second captured image, or a second feature amount corresponding to a second object whose object-image is included in only one of the first captured-image and the second captured-image.

Abstract: A device that determines whether a first person extracted from a first image is identified with a second person extracted from a second image, includes a processor configured to extract a first feature value of a contour portion of the first person, from the first image, extract a second feature value of a contour portion of the second person, from the second image, and determine whether the first person is identified with the second person, based on comparison processing in which a first effect on a first comparison result of the first feature value and the second feature value becomes greater than a second effect on a second comparison result of a third feature value of a portion further from a contour than the contour portion of the first person and a fourth feature value of a portion further from the contour than the contour portion of the second person.

Abstract: An apparatus for identifying a candidate area in a first image corresponding to an object in a second image, includes a memory and a processor to divide the plurality of candidate areas into a plurality of small candidate areas, divide an image area of the object into a plurality of small areas, perform first comparison processing for a first part, when there is a first candidate area lacking image information of the small candidate area corresponding to the first part, perform second comparison processing for a second part, predict missing result on the small candidate area corresponding to the first part in the first candidate area based on a result of the first comparison processing on a candidate area other than the first candidate area, and a result of the second comparison processing on the plurality of candidate areas, and identify the candidate area based on a prediction.

Abstract: An image processing method for tracking an object, the method includes: specifying a first range in which a first target is searched for and a second range in which a second target is searched for in a next frame by referring to a storage device that stores past frames captured by a capturing device; changing the first range and/or the second range in the next frame such that an area in which the first range and the second range specified in the next frame overlap each other is less than a predetermined value in a case where the overlapping area is equal to or greater than the predetermined value; and searching for, in the changed first range and the changed second range, and specifying a region corresponding to the first target and a region corresponding to the second target in the next frame.

Abstract: An apparatus includes a memory configured to store training data used for automatically sorting objects. The apparatus acquires a first captured-image that is captured at a first timing before an object-sorting work for sorting objects is performed, and a second captured-image that is captured at a second timing after the object-sorting work has been performed, and extracts, from each of the first captured-image and the second captured-image, a feature amount of an object-image that is an image of an object included in each of the first captured-image and the second captured-image. The apparatus stores, in the memory, as the training data, a first feature amount corresponding to a first object whose object-image is included in both the first captured image and the second captured image, or a second feature amount corresponding to a second object whose object-image is included in only one of the first captured-image and the second captured-image.

Abstract: A search system includes circuitry configured to detect an first object to be a search target, from information of an image that is captured by an imaging device, determine a parameter in consideration of how the first object is viewed in the image, in accordance with a height at which the imaging device is installed, a depression angle of the imaging device, and a distance from the imaging device to the first object, divide an image region corresponding to the first object into at least two image regions based on a dividing ratio that is obtained by correcting a predetermined ratio in accordance with the parameter, and specify a second object in another image based on feature information of each of the at least two image regions, the second object corresponding to the first object in the image.

Abstract: Disclosed is a urine sample dispensing method. The method comprises: (i) suctioning a urine sample using a nozzle; (ii) flowing the urine sample suctioned by the nozzle through a filter for capturing foreign matter, the filter being provided in a flow path connected to the nozzle; and (iii) changing a flow course of the urine sample or a position of the filter so that the filter is not positioned on the flow course of the urine sample, when the urine sample that has passed through the filter is discharged from the nozzle.

Abstract: A non-transitory computer-readable storage medium storing an event detection program that causes a computer to perform a process, the process including acquiring a first captured image captured at a first timing by a first camera device, acquiring a second captured image captured at a second timing after the first timing by a second camera device, detecting an event in accordance with a first image feature extracted from the first captured image, a second image feature extracted from the second captured image and an event detection criteria, the event detection criteria making the event less detectable as a variance of the first image feature or a variance of the second image feature is smaller, both the first image feature and the second image feature corresponding to one or more target objects, and outputting a result of the detecting of the event.

Abstract: An apparatus for identifying a candidate area in a first image corresponding to an object in a second image, includes a memory and a processor to divide the plurality of candidate areas into a plurality of small candidate areas, divide an image area of the object into a plurality of small areas, perform first comparison processing for a first part, when there is a first candidate area lacking image information of the small candidate area corresponding to the first part, perform second comparison processing for a second part, predict missing result on the small candidate area corresponding to the first part in the first candidate area based on a result of the first comparison processing on a candidate area other than the first candidate area, and a result of the second comparison processing on the plurality of candidate areas, and identify the candidate area based on a prediction.

Abstract: A moving object group detection method includes: respectively analyzing a first captured image captured by a first image capture device and a second captured image captured by a second image capture device, and respectively extracting a first image region and a second image region from the first captured image and the second captured image, the first image region and the second image region being regions in which coloring patterns satisfy a predetermined similarity range and moving in corresponding directions over plural frames; and detecting that a common moving object group is included in the first image region and the second image region on the basis of an evaluation of similarity between an image within the first image region and an image within the second image region.

Abstract: An image processing method for tracking an object, the method includes: specifying a first range in which a first target is searched for and a second range in which a second target is searched for in a next frame by referring to a storage device that stores past frames captured by a capturing device; changing the first range and/or the second range in the next frame such that an area in which the first range and the second range specified in the next frame overlap each other is less than a predetermined value in a case where the overlapping area is equal to or greater than the predetermined value; and searching for, in the changed first range and the changed second range, and specifying a region corresponding to the first target and a region corresponding to the second target in the next frame.

Abstract: An apparatus for identifying a candidate area in a first image corresponding to an object in a second image, includes a memory and a processor to divide the plurality of candidate areas into a plurality of small candidate areas, divide an image area of the object into a plurality of small areas, perform first comparison processing for a first part, when there is a first candidate area lacking image information of the small candidate area corresponding to the first part, perform second comparison processing for a second part, predict missing result on the small candidate area corresponding to the first part in the first candidate area based on a result of the first comparison processing on a candidate area other than the first candidate area, and a result of the second comparison processing on the plurality of candidate areas, and identify the candidate area based on a prediction.