Abstract: A method of processing information acquired by imaging performed by a medical image diagnostic apparatus, the method including but not limited to at least one of (A) acquiring a training image volume including at least one three-dimensional object having an embedded three-dimensional feature having a first cross-sectional area in a first three-dimensional plane; selecting a second cross-sectional area in a second three-dimensional plane containing the embedded three-dimensional feature, wherein the second cross-sectional area is larger than the first cross-sectional area; and training an untrained neural network with an image of the second cross-sectional area generated from the training image volume; and (B) acquiring a first set of training data; determining a first distribution of tissue density information from the first set of training data; generating from the first set of training data a second set of training data by performing at least one of a tissue-density shifting process and a tissue-density sca

Abstract: Aan integrating system for evaluating and managing cultivation and targeted adoption includes a cultivating adoption evaluating and managing system, a profit returning module, and a contract terminating, rescinding and assigning module; the cultivating adoption evaluating and managing system includes, an adoption confirming system, a cultivating data and harvesting database, a contract database; the adoption confirming system includes, an adoption reporting evaluating procedure module, a contract concluding procedure module; the adoption reporting evaluating procedure module is connected to the adoption buying proposing module; with the system, an automatic solution is provided to the adoption contract, the procedure of the contract drafting to the contract signing can be processed online for establishing the filing operation; the purchasing price in the market and the profit statuses of both parties can be obtained in any desired time for the investing party and the cultivating party.

Abstract: A water quality monitoring and maintaining system includes a water quality monitoring instrument, a process system and a water quality treating module. The water quality monitoring instrument is used for collecting a plurality of water quality data of a monitored water in a monitored environment. The process system is used for processing an error correcting operation and a storing operation for the plurality of water quality data collected by the water quality monitoring instrument, thereby establishing a water quality data model. The water quality treating module is used for adjusting the plurality of water quality data of the monitored environment according to the water quality data model.

Abstract: Provided are a video sharing method and apparatus, an electronic device, and a storage medium. The method comprises: determining a designated user, and triggering a video filming instruction for the designated user; displaying a filming interface in response to receipt of the video filming instruction; initiating video filming in response to receipt of an initiate instruction, and in response to determining that voice information is received, adding the voice information in the form of a subtitle to the filming interface to obtain a filmed video; and sharing the filmed video with the designated user through a conversation message.

Abstract: A method, apparatus, and computer-readable storage medium for controlling exposure/irradiation during a main three-dimensional X-ray imaging scan using at least one spatially-distributed characteristic of a pre-scan/scout scan preceding the main scan. The at least one spatially-distributed characteristic includes (1) a spatially-distributed noise characteristic of the pre-scan and/or (2) a spatially-distributed identification of exposure-sensitive tissue types. The at least one spatially-distributed characteristic can be calculated from images reconstructed from sinogram/projection data and/or from sinogram/projection directly using a neural network.

Abstract: A one-way valve is provided. The one-way valve includes a housing and a valve core assembly. The housing is provided with a valve port. A ratio of a wall thickness of the housing to an outer diameter of the housing is in a range of 0.08 and 0.12. The valve core assembly is movably disposed in the housing and configured to open or seal the valve port.

Abstract: An electrochemical cell includes a cathode including a cathode active material; an anode including silicon, conductive carbon, lithium metal, sodium metal, magnesium metal, sulfur, or a combination of any two or more thereof; a separator; and an electrolyte including a lithium sulfonylimide salt, an asymmetric fluorinated glycol ether, and optionally an electrolyte additive, an aprotic gel polymer, or a mixture thereof.

Abstract: Devices, systems, and methods receive scan data that were generated by scanning a region of a subject with a computed tomography apparatus; generate multiple partial angle reconstruction (PAR) images based on the scan data; obtain corresponding characteristics of the multiple PAR images; perform correspondence mapping on the multiple PAR images based on the obtained corresponding characteristics and on the multiple PAR images, wherein the correspondence mapping generates correspondence-mapping data; and generate a motion-corrected reconstruction image based on the correspondence-mapping data and on one or both of the scan data and the PAR images.

Abstract: A multi-bit resolution sub-pipeline structure for measuring a jump magnitude of a transmission curve, comprising: a sub-analog-to-digital converter having n-bit resolution configured to quantize input analog voltage signals and output digital voltage signals; a sub-digital-to-analog converter having n-bit resolution configured to convert the digital voltage signals output by the sub-analog-to-digital converter into corresponding analog voltage signals; a decoder having n-bit resolution configured to decode an n-bit binary input signal; and a switched-capacitor amplification unit configured to, when in a normal mode, perform sampling and residue amplification on the input analog voltage signals; and when in a test mode, measure the jump magnitude of the transmission curve corresponding to each decision level. Magnitude measurement of a transmission curve is performed within 2n clock periods, th and a measurement result is sent to a back-end digital domain of the A/D converter for correction.

Abstract: A video processing method and an apparatus are provided in embodiments of the present disclosure. The method includes: detecting an operation instruction of a first user; in response to the operation instruction, displaying an image collected by a camera of the first terminal on a chat page of the first user with a second user in real time, superposing and displaying remaining information except the image within a preset area on the image; and sending the image collected by the camera of the first terminal to a second terminal in real time as a video frame, so that the second terminal displays the image on a chat page of the second user with the first user in real time, and superposes and displays remaining information except the image within a preset area on the image; where the first terminal is a terminal corresponding to the first user.

Abstract: Apparatuses and methods for customized retainers to prevent relapse. In particular, described herein are customized retainers, and methods and apparatuses for making customized retainers that specifically reenforce and prevent movement of one or more teeth having a higher likelihood of relapse following completion of an orthodontic treatment plan.

Abstract: A method, system, and computer readable medium to compensate for consecutive missing views in Computed Tomography (CT) reconstruction. By utilizing at least one complementary ray from a previous or subsequent view, the missing view(s) can be filled in. When plural complementary rays exist, a linear or non-linear combination of rays can be used to fill in the missing views, and the weights used in the combination may be smoothed to prevent over-emphasis of the replacement views.

Abstract: A differential-follower control circuit has been provided, comprising: a follower; an output-voltage following module, which controls a voltage at a control terminal of the follower to vary with an output voltage; a substrate-voltage following module, which controls a substrate voltage of an output transistor of the follower to vary with an input voltage; an output terminal of the follower is connected to a first terminal of the output-voltage following module; a second terminal of the output-voltage following module is connected to the control terminal of the follower; a first terminal of the substrate-voltage following module is connected to an input terminal of the follower and a second terminal of the substrate-voltage following module is connected to a substrate of the output transistor; the invention effectively improves the overall linearity of the follower.

Abstract: A follow-hold switch circuit comprising: a follower; a sampling sub-circuit for voltage sampling; a bootstrap-control sub-circuit, which provides a bootstrap voltage to the sampling sub-circuit when the circuit is in a following state; a sampling-switch-control sub-circuit, which provides a common-mode voltage to a bootstrap capacitor in the bootstrap-control sub-circuit when the circuit is in a holding state; the follower is connected to an output of the sampling sub-circuit; the sampling sub-circuit is connected to the bootstrap-control sub-circuit and the sampling-switch-control sub-circuit respectively through a sampling switch; the present disclosure can effectively improve the linearity of sampling switches.

Abstract: An information processing method of an embodiment is a processing method of information acquired by imaging performed by a medical image diagnostic apparatus, the information processing method includes the steps of: on the basis of first subject data acquired by the imaging performed by the medical image diagnostic apparatus, acquiring noise data in the first subject data; on the basis of second subject data acquired by the imaging performed by a medical image diagnostic modality same kind as the medical image diagnostic apparatus and the noise data, acquiring synthesized subject data in which noises based on the noise data are added to the second subject data; and acquiring a noise reduction processing model by machine learning using the synthesized subject data and third subject data acquired by the imaging performed by the medical image diagnostic modality.

Abstract: Devices, systems, and methods obtain first radiographic-image data reconstructed based on a set of projection data acquired in a radiographic scan; apply one or more trained machine-learning models to the set of projection data and the first radiographic-image data to obtain a set of parameters for a scatter kernel; input the set of parameters and the set of projection data into the scatter kernel to obtain scatter-distribution data; and perform scatter correction on the set of projection data using the scatter-distribution data, to obtain a set of corrected projection data.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry configured to acquire a radiographic image of a subject and acquire a post-processing image with reduced steak artifacts by applying a model that reduces streak artifacts to the radiographic image, wherein the model is generated by machine learning that uses, as a training data pair, a first radiographic image and a second radiographic image based on artifact generation processing for generating streak artifacts.

Abstract: A method and device for fabricating vascular networks in for tissue engineering. The vascular network is embedded in a porous scaffold and is created from a sacrificial wax template, according to one embodiment. A extrusion-based three dimensional printer is used to create the template, wherein the printer utilizes an extruder incorporating a mixer to maintain the consistency of the extrudate.

Abstract: A method and apparatus is provided that uses a deep learning (DL) network to reduce noise and artifacts in reconstructed medical images, such as images generated using computed tomography, positron emission tomography, and magnetic resonance imaging. The DL network can operate either on pre-reconstruction data or on a reconstructed image. The DL network can be an artificial neural network or a convolutional neural network (e.g., using a three-channel volumetric kernel architecture). Different neural networks can be trained depending on the noise level, scanning protocol, or the anatomic, diagnostic or clinical objective of the reconstructed image (e.g., by partitioning the training data into noise-level range and training respective DL networks for each range). Further, the DL networks can be trained to mitigate artifacts, such as the cone-beam artifact.