Abstract: An image processing apparatus includes a correction unit, a first detection unit, a second detection unit, and a merging unit. The correction unit is configured to perform correction of a misalignment between a plurality of images captured at exposures different from each other. The first detection unit is configured to detect an inappropriate area from the plurality of images. The second detection unit is configured to detect a feature point for the correction by preferentially using an area other than the inappropriate area of the plurality of images. The merging unit is configured to merge the plurality of images on which the correction has been performed.

Abstract: An apparatus includes an image sensor configured to capture a plurality of images, at least one memory configured to store instructions, and at least one processor in communication with the at least one memory and configured to execute the instructions to determine whether a flicker has occurred, and combine the plurality of images into a combined image. If the flicker occurs, the image sensor captures the plurality of images through application of different gains by performing one exposure. If the flicker does not occur, the image sensor captures the plurality of images by performing a plurality of exposures.

Abstract: A prediction device extracts each predictive feature vector expressing a feature from a peptide that is a target for biostability prediction. The prediction device generates a predicted value of biostability of the prediction target cyclic peptide by inputting plural predictive feature vectors into a trained model pre-trained to output a predicted value of peptide biostability.

Abstract: A prediction device extracts each predictive feature vector expressing a feature from a peptide that is a target for membrane permeability prediction. The prediction device generates a predicted value of membrane permeability of the prediction target peptide by inputting plural predictive feature vectors into a trained model pre-trained to output a predicted value of peptide membrane permeability.

Abstract: In response to request signals transmitted from a terminal, a server generates prediction information relating to pharmacokinetics of a peptide. The server then transmits the prediction information to the terminal.

Abstract: An image processing apparatus includes a correction unit, a first detection unit, a second detection unit, and a merging unit. The correction unit is configured to perform correction of a misalignment between a plurality of images captured at exposures different from each other. The first detection unit is configured to detect an inappropriate area from the plurality of images. The second detection unit is configured to detect a feature point for the correction by preferentially using an area other than the inappropriate area of the plurality of images. The merging unit is configured to merge the plurality of images on which the correction has been performed.

Abstract: An information processing device includes an operation input unit which inputs a user operation, a U/I screen generation unit which generates a U/I screen where a row of a plurality of category options for selecting a category and a row of a plurality of icons which is an option belonging to what is selected among the plurality of category options are orthogonally disposed, and when a selection of the option in the row of the plurality of category options is changed by the input user operation, an icon rotator which changes the plurality of icons from icons corresponding to those before a change of the category to icons corresponding to those after the change of the category by an animation display which causes the icon to rotate around the rotation axis in the same direction as a direction of the row of icons.