Abstract: In an embodiment, an object of the present invention is to provide a double-stranded nucleic acid complex having a novel structure. In an embodiment, the present invention relates to a nucleic acid complex comprising a first nucleic acid strand and a second nucleic acid strand, wherein said first nucleic acid strand: (1) is capable of hybridizing to at least a part of a target transcriptional product; (2) has an antisense effect on the target transcriptional product; and (3) is a gapmer comprising a central region, and a 5? wing region and a 3? wing region, said second nucleic acid strand comprises at least one sugar-unmodified central region (first exposed region) consisting of one sugar-unmodified ribonucleoside or two or three contiguous sugar-unmodified ribonucleosides linked by an internucleoside bond, which is or are complementary to a part of said first nucleic acid strand, and said first nucleic acid strand is annealed to said second nucleic acid strand.

Abstract: According to one embodiment, a sensor includes a base, a first support portion fixed to the substrate, and a first member supported by the first support portion. A gap is provided between the base and the first member. The first beam electrode and the second beam electrode satisfy at least one of a first condition, a second condition, a third condition, a fourth condition, a fifth condition, a sixth condition, a seventh condition, or an eighth condition.

Abstract: According to one embodiment, a sensor includes a base body, a support portion fixed to the base body, and a first member supported by the support portion. A gap is provided between the base body and a part of the first member. The first member includes a supported region, a first movable region, a first structure, a first support structure, a first connection structure, a first connect portion, and a first beam. The support portion is located between the base body and the supported region in a first direction from the base body to the support portion. The first beam extends along a second direction crossing the first direction. A first beam position of the first beam is located between a first movable region position of the first movable region and a support portion position of the support portion in the second direction.

Abstract: A medical image processing apparatus includes: an obtaining unit configured to obtain a first image that is a motion contrast en-face image of an eye to be examined; and an image quality improving unit configured to generate a second image with at least one of lower noise and higher contrast than the obtained first image using the obtained first image as input data that is input into an image quality improving engine, wherein the image quality improving engine includes a machine learning engine that has been obtained by using training data including a second image with at least one of lower noise and higher contrast than a first image that is a motion contrast en-face image of an eye to be examined.

Abstract: An image processing apparatus includes display control means for displaying, on display means, a blend image obtained by performing blend processing at a variable transmissivity in accordance with an instruction of an operator using an optical coherence tomography (OCT) image and an OCT angiography (OCTA) image of mutually corresponding regions in a subject that are acquired by an OCT, setting means for setting a region of interest in the displayed blend image, and execution means for executing processing on the set region of interest in at least one image of the OCT image and the OCTA image.

Abstract: A medical image processing apparatus includes: an obtaining unit configured to obtain a first image that is a motion contrast en-face image of an eye to be examined; and an image quality improving unit configured to generate a second image with at least one of lower noise and higher contrast than the obtained first image using the obtained first image as input data that is input into an image quality improving engine, wherein the image quality improving engine includes a machine learning engine that has been obtained by using training data including a second image with at least one of lower noise and higher contrast than a first image that is a motion contrast en-face image of an eye to be examined.

Abstract: An image processing apparatus includes display control means for displaying, on display means, a blend image obtained by performing blend processing at a variable transmissivity in accordance with an instruction of an operator using an optical coherence tomography (OCT) image and an OCT angiography (OCTA) image of mutually corresponding regions in a subject that are acquired by an OCT, setting means for setting a region of interest in the displayed blend image, and execution means for executing processing on the set region of interest in at least one image of the OCT image and the OCTA image.

Abstract: Provided is a motor control apparatus that suppresses a steep rush current to a charging circuit and that can quickly start driving of a motor without depending on a current-limiting resistor. The motor control apparatus according to the present disclosure includes an inverter for driving a motor, a charging circuit for supplying electric power to the inverter, a relay circuit for connecting a charging circuit and a power supply terminal, a control unit for controlling the inverter and the relay circuit, and a pre-charging circuit that is provided in parallel with the relay circuit, that starts charging from the power supply terminal to the charging circuit after a power switch for connecting an external power source with the power supply terminal is turned on, and that completes charging of the charging circuit before the control unit starts operation thereof.

Abstract: The optical coherence tomography apparatus is an optical coherence tomography apparatus that obtains a tomographic image of an eye to be examined by using combined light obtained by combining (a) return light from the eye to be examined irradiated with measurement light and (b) reference light, the optical coherence tomography apparatus including an optical path length difference changing unit arranged to change an optical path length difference between the measurement light and the reference light, a driving unit arranged to drive the optical path length difference changing unit, a determining unit configured to determine, using a learned model, a driving amount of the driving unit from the obtained tomographic image, and a controlling unit configured to control the driving unit using the determined driving amount.

Abstract: The objective is to provide a motor control apparatus that suppresses a steep rush current to a charging circuit and that can quickly start driving of a motor without depending on a current-limiting resistor. A motor control apparatus according to the present disclosure includes an inverter for driving a motor, a charging circuit for supplying electric power to the inverter, a relay circuit for connecting a charging circuit and a DC power source, a control unit for controlling the inverter and the relay circuit, and a pre-charging circuit that is provided in parallel with the relay circuit, that starts charging from the DC power source to the charging circuit after a power switch for connecting an external power source with the DC power source is turned on, and that completes charging of the charging circuit before the control unit starts operation thereof.

Abstract: The optical coherence tomography apparatus is an optical coherence tomography apparatus that obtains a tomographic image of an eye to be examined by using combined light obtained by combining (a) return light from the eye to be examined irradiated with measurement light and (b) reference light, the optical coherence tomography apparatus including an optical path length difference changing unit arranged to change an optical path length difference between the measurement light and the reference light, a driving unit arranged to drive the optical path length difference changing unit, a determining unit configured to determine, using a learned model, a driving amount of the driving unit from the obtained tomographic image, and a controlling unit configured to control the driving unit using the determined driving amount.

Abstract: An apparatus includes an obtaining unit configured to obtain, using an optical coherence tomography, an analysis map for a disk and an analysis map for a macular area, which are analysis results of three-dimensional data obtained by capturing an image of a region of a fundus of a subject's eye that includes the disk and the macular area, and a control unit configured to cause a display unit to display side by side a two-dimensional image of the region including the disk and the macular area, the analysis map for the optic disk, and the analysis map for the macular area.

Abstract: An image processing apparatus includes display control means for displaying, on display means, a blend image obtained by performing blend processing at a variable transmissivity in accordance with an instruction of an operator using an optical coherence tomography (OCT) image and an OCT angiography (OCTA) image of mutually corresponding regions in a subject that are acquired by an OCT, setting means for setting a region of interest in the displayed blend image, and execution means for executing processing on the set region of interest in at least one image of the OCT image and the OCTA image.

Abstract: A medical image processing apparatus includes: an obtaining unit configured to obtain a first image that is a medical image of a predetermined site of a subject; an image quality improving unit configured to generate, from the first image, a second image in which image quality is improved compared to the first image, using an image quality improving engine including a machine learning engine; and a display controlling unit configured to cause a composite image obtained by combining the first image and the second image according to a ratio obtained using information relating to at least a partial region in at least one of the first image and the second image to be displayed on a display unit.

Abstract: An image processing apparatus includes: an obtaining unit configured to obtain a first medical image of an object under examination; an image quality improving unit configured to generate, from the obtained first medical image, a second medical image with image quality higher than image quality of the obtained first medical image using a learned model; a comparing unit configured to compare an analysis result obtained by analyzing the obtained first medical image and an analysis result obtained by analyzing the generated second medical image; and a display controlling unit configured to cause a comparison result obtained by the comparing unit to be displayed on a display unit.

Abstract: A speech providing device includes a memory that stores instructions, and a processor that executes the instructions. The instructions cause the processor to perform acquiring a position of a user and a direction that the user is facing, and providing a speech corresponding to an area existing in a direction that the user is facing on the basis of the position of the user, to the user.

Abstract: A medical image processing apparatus includes: an obtaining unit configured to obtain a first image that is a motion contrast en-face image of an eye to be examined; and an image quality improving unit configured to generate a second image with at least one of lower noise and higher contrast than the obtained first image using the obtained first image as input data that is input into an image quality improving engine, wherein the image quality improving engine includes a machine learning engine that has been obtained by using training data including a second image with at least one of lower noise and higher contrast than a first image that is a motion contrast en-face image of an eye to be examined.

Abstract: An image processing apparatus includes: an obtaining unit configured to obtain a first image of an eye to be examined; an image quality improving unit configured to generate a second image with at least one of lower noise and higher contrast than the obtained first image using the obtained first image as an input data of a learned model, wherein the learned model has been obtained by using training data including a second image with at least one of lower noise and higher contrast than a first image of an eye to be examined; and a display controlling unit configured to cause the obtained first image and the generated second image to be switched, juxtaposed or superimposed and displayed on a display unit.

Abstract: A medical image processing apparatus includes: an obtaining unit configured to obtain a first image that is a medical image of a predetermined site of a subject; an image quality improving unit configured to generate, from the first image, a second image in which the image quality is improved compared to the first image by using an image quality improving engine that includes a machine learning engine; and a display controlling unit configured to cause a display unit to display a composite image obtained by combining the first image and the second image according to a ratio obtained using information relating to at least a partial region of the first image.

Abstract: Provided is an information processing apparatus including: a first acquisition unit configured to acquire a plurality of pieces of tomographic data based on measurement light controlled to scan the same position of a fundus; a second acquisition unit configured to acquire a correction coefficient by performing an arithmetic operation on a first approximate parameter obtained by transforming, in a first dimension, a parameter of the tomographic data to be used for calculating a motion contrast, and a second approximate parameter obtained by transforming the parameter in a second dimension smaller than the first dimension; a correction unit configured to correct a parameter of at least one piece of tomographic data through use of the correction coefficient; and a generation unit configured to generate a motion contrast image through use of the at least one piece of tomographic data corrected by the correction unit.