Abstract: A medical information processing apparatus acquires multiple training samples. Each of the training samples includes a feature amount representing a condition of a subject, a type label of an event performed on the subject, and an effect label of the event. The apparatus acquires a knowledge base independent from the training samples. The processing circuitry assigns a knowledge label to at least one training sample among the training samples based on the knowledge base. The apparatus trains, based at least on the at least one training sample to which the knowledge label is assigned, a model that infers an effect of each type of an event. The at least one training sample to which the knowledge label is assigned includes the feature amount, the type label, the effect label, and the knowledge label.

Abstract: A medical information processing apparatus according to an embodiment includes processing circuitry that is configured to acquire medical image data that includes a target organ, acquire grid point cloud data that is associated with the medical image data and that is related to the target organ, display the medical image data, and that identify an attention grid included in the grid point cloud data on the basis of a display condition of the medical image data.

Abstract: A medical image processing apparatus according to one embodiment includes processing circuitry. The processing circuitry acquires second image data in which a low count artifact is reduced, by applying a trained machine learning model to first image data that is obtained by X-ray CT scan. The processing circuitry outputs image data based on the second image data. The machine learning model is trained by using training data that includes third image data and fourth image data, where the third image data is reconstructed based on projection data that is obtained by X-ray CT scan and the fourth image data is based on the projection data and includes a generated low count artifact.

Abstract: This uninterruptible power supply includes a switch that is turned off while an AC power supply is normal and turned on during power failure, a converter that converts AC power supplied from the AC power supply into DC power to supply resultant DC power to a DC link portion while the AC power supply is normal, and that supplies DC power supplied from a battery through the switch to the DC link portion during power failure, an inverter that converts DC power from the DC link portion into AC power to supply resultant AC power to a load, and a chopper circuit that allows DC power from the DC link portion to be stored in the battery while the AC power supply is normal.

Abstract: A medical information processing apparatus includes processing circuitry configured to acquire status information indicating a status of a plurality of medical devices connected to each other via a network and/or a status around the plurality of medical devices, generate, based on the status information, operation information indicating an operation to be performed on the medical device, and control a display unit so as to display the generated operation information.

Abstract: An apparatus comprises processing circuitry configured to receive a first model and a second model; determine difference information that is representative of a difference between the first model and the second model and/or between the first task and the second task and/or between the first domain and the second domain; and generate a third model using the first model, the second model and the difference information, wherein the generating of the third model comprises training the third model to perform both of the first task and the second task and/or to operate on both the first domain and the second domain.

Abstract: A method using capillary force lamination (CFL) for manufacturing a high-performance optical absorber, includes: texturizing a base layer of the high-performance optical absorber, the base layer comprising one or more of a polymer film and a polymer coating; joining a surface layer of the high-performance optical absorber to the base layer, the surface layer comprising a non-woven carbon nanotube (CNT) sheet; wetting the joined surface layer and base layer with a solvent; allowing surface tension forces of the solvent to draw the non-woven CNT sheet into the base layer, thereby texturizing the surface layer; drying the joined surface layer and base layer; and treating the resulting base layer with plasma, creating the high-performance optical absorber.

Abstract: A superconducting coil device of an embodiment includes stacked pancake coils. Each of the stacked pancake coils includes an inner frame, a separator disposed outside the inner frame, and a superconducting wire wound part formed on the separator. The superconducting coil device further includes a position adjustment part configured to adjust relative positions of the stacked pancake coils.

Abstract: The encryption system may include a host apparatus and a remote apparatus. The host apparatus may generate an asymmetric encryption key pair that comprises a first key and a second key. The host apparatus may deliver the first key to the remote apparatus. The remote apparatus may generate a symmetric encryption key. The remote apparatus may encrypt a key block using the first key. The encrypted key block may include the symmetric encryption key and a sequence field. The remote apparatus may record a dataset. The remote apparatus may encrypt the recorded dataset using the generated symmetric encryption key. The remote apparatus may send the recording file to the host apparatus. The host apparatus may decrypt the symmetric encryption key using the second key. The host apparatus may decrypt the encrypted dataset using the symmetric encryption key.

Abstract: A diagnosis support system includes an acquirer, a calculator, and a display controller. The acquirer acquires diagnosis data. The calculator calculates, based on the medical data, a feature amount in the medical data for a predetermined period. The display controller causes the displayer to display the medical data in a format according to the feature amount.

Abstract: An X-ray diagnosis apparatus according to an embodiment includes: an X-ray generator configured to emit X-rays; an X-ray detector having a detection surface parallel to a first direction and being movable in the first direction and in a second direction orthogonal to the first direction and parallel to the detection surface; and processing circuitry configured to set a plurality of imaging ranges touching each other on the basis of reference information, to cause the X-rays to be emitted from the X-ray generator to each of the plurality of imaging ranges while sequentially moving the X-ray detector, and to generate X-ray images respectively corresponding to the plurality of imaging ranges, on the basis of a detection signal resulting from the X-ray detector detecting the X-rays.

Abstract: A vessel harvesting apparatus for removing a blood vessel from a patient includes collection and conditioning (i.e., treatment) of expelled insufflation gas prior to releasing the gas into the air of the operating room. An endoscopic instrument has a distal end with a vessel harvesting tip and has a proximal end with a handle. An insufflation channel is configured to convey an insufflation gas subcutaneously into a dissected space within the patient. A removal channel is configured to evacuate fluidic contents from the dissected space, wherein the fluidic contents include insufflation gas and biological impurities. A processor/separator is coupled to the removal channel to process the fluidic contents to retain at least some of the biological impurities and to exhaust the insufflation gas.

Abstract: A medical information processing apparatus includes processing circuitry. The processing circuitry is configured to: acquire operator information that identifies an operator of an operation apparatus; acquire apparatus information that indicates a medical apparatus operable by the operator based on the acquired operator information; and provide the operation apparatus with the acquired apparatus information.

Abstract: An MR signal processing apparatus according to one embodiment includes processing circuitry. The processing circuitry inputs a plurality of MRS signals acquired by MR spectroscopy on the same target to a trained model, and outputs a parameter for MRS reconstruction.

Abstract: A guided pairing method includes generating a singles list by detecting a plurality of singles at a plurality of detector elements in a detector array, the plurality of singles falling within a plurality of detection windows; for each detection window of the plurality of detection windows in the singles list having exactly two singles of the plurality of singles, determining the line of responses (LORs) for each of the two singles of the plurality of singles; for each detection window of the plurality of detection windows in the singles list having more than two singles of the plurality of singles, determining all coincidences possible based on the more than two singles; generating a weight for said each coincidence of the coincidences based on the determined LORs for said each of the two singles of the plurality of singles; and pairing the more than two singles based on the generated weight for said each coincidence of the coincidences.

Abstract: The present disclosure relates to a spatially-variant model of a point spread function and its role in enhancing medical image resolution. For instance, a method of the present disclosure comprises receiving a first medical image having a first resolution, applying a neural network to the first medical image, the neural network including a first subset of layers and, subsequently, a second subset of layers, the first subset of layers of the neural network generating, from the first medical image, a second medical image having a second resolution and the second subset of layers of the neural network generating, from the second medical image, a third medical image having a third resolution, and outputting the third medical image, wherein the first resolution is lower than the second resolution and the second resolution is lower than the third resolution.

Abstract: A system includes an orthogonal coordinate signal generator that generates an orthogonal two-phase voltage signal from a three-phase voltage signal of three-phase alternating current power of a power system; and a frequency calculator including an angular frequency calculator calculating an angular frequency of the power system based on the two-phase voltage signal, and an arithmetic unit calculating a system frequency of the power system from the angular frequency. A prediction calculator calculates a predicted value of the angular frequency after a time has elapsed based on the angular frequency and a differential of the angular frequency. In a state in which the phase jump of the power system is not detected, the frequency calculator calculates the system frequency based on the angular frequency. When the phase jump of the power system is detected, the frequency calculator calculates the system frequency based on predicted value for a constant amount of time.

Abstract: Provided is a dispensing mechanism for an article vending machine, which can facilitate coupling of a drive section to a dispensing unit.

Abstract: A pet door is described herein comprising a motor for locking and unlocking a pet flap of a pet door, wherein the pet flap is rotatably attached to an upper portion of the pet door. The pet door includes a first motion detector for monitoring movement in a first detection region and a second motion detector for monitoring movement in a second detection region, wherein the pet flap of the pet door occupies a plane separating the first detection region from the second detection region when the pet flap is in a locked position. One or more applications running on at least one processor of the pet door are configured to receive a first motion signal from the first motion detector indicating movement of a pet in the first detection region, the receiving the first motion signal including activating an access sequence controlling ingress or egress of a pet.

Abstract: An apparatus for reconstructing or filtering medical image data is provided. The apparatus includes processing circuitry to receive a first medical image data and meta-parameters related to the first medical image data; apply the received meta-parameters to inputs of a first trained machine-learning (ML) network, e.g., a multilayer perceptron, to obtain, from outputs of the first trained ML network, tuning parameters of a second ML network (e.g., a convolutional neural network) different from the first ML network; apply the received first medical image data to inputs of the second ML network, as tuned by the obtained tuning parameters output from the first ML network, to obtain, from outputs of the second ML network, second medical image data; and output the second medical image data. In one embodiment, the first medical image data is magnetic-resonance k-space data and the second medical data is a magnetic-resonance image.