Abstract: A system and method is provided for controlling physiological-noise in functional magnetic resonance imaging using raw k-space data to extract physiological noise effects. The method can identify these effects when they are separable and directly reflects the artefactual effects on fMRI data, without the need for external monitoring or recording devices and to be compensated for via rigorous statistical analysis modeling of such noise sources. The physiological fluctuations may be treated as global perturbations presented around the origin point in a k-space 2D slice. Each k-space 2D slice may be acquired at a very short repetition time with an effective sampling rate to sample cardiac and respiratory rhythms through proper reordering and phase-unwarping techniques applied to the raw k-space data.

Abstract: Illustrative embodiments include a method, an electronic device, and a computer program product for video processing. In the method, a first group of image frames in a first video having a first resolution is converted into a second group of image frames having a second resolution, the first resolution being higher than the second resolution; a second video having the second resolution is generated based on the second group of image frames; conversion parameters for the second video are determined based on the first group of image frames and the second group of image frames, the conversion parameters being used to convert an image frame in the second group of image frames into an image frame having a third resolution, and the third resolution being higher than the second resolution; and the conversion parameters and the second video are sent to a requester of the first video.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a program product for image processing. In one embodiment, a method may include: at an edge node of a network, obtaining a first image generated based on data associated with a target event, wherein the first image has a first resolution ratio. Additionally, the method may further include: sending a second image converted from the first image to a terminal device, wherein the second image has a second resolution ratio higher than the first resolution ratio. According to the embodiments of the present disclosure, by rendering a low-resolution-ratio image at a cloud server and transmitting the image to an edge node or a terminal device for reconstructing a high-resolution-ratio image, the bandwidth and time delay of high-definition image transmission can be significantly reduced, so that the user experience is improved.

Abstract: The present disclosure relates to a method, a device, and a computer program product for model updating. The method includes: acquiring a first image set and first annotation information, wherein the first annotation information indicates whether a corresponding image in the first image set includes a target object; updating a first version of an object verification model using the first image set and the first annotation information to obtain a second version, wherein the first version of the object verification model has been deployed to determine whether an input image includes the target object; determining the accuracy of the second version of the object verification model; and updating, if it is determined that the accuracy is lower than a preset accuracy threshold, the second version of the object verification model using a second image set and second annotation information to obtain a third version of the object verification model.

Abstract: A communication network switching system for an elevator system, a communication network switching method for an elevator system, and an elevator system are disclosed. The communication network switching system includes at least two communication networks, and the at least two communication networks are respectively arranged in different areas of the elevator system and a building where the elevator system is located, and are configured to provide a communication link for a movable device in the areas, in which the communication network switching system is configured to enable the communication link of the movable device to be switched from one of the at least two communication networks to the other of at least two communication networks according to current movement characteristics of the movable device.

Abstract: The present disclosure relates to a method for managing an artificial intelligence (AI) application, a device, and a program product. One method comprises receiving input data to be processed by the AI application; updating a first version of the AI application with the input data to generate a second version, wherein the first version is deployed at server equipment; compressing the second version of the AI application to generate a third version of the AI application; and deploying the third version of the AI application to terminal equipment to replace a fourth version of the AI application deployed at the terminal equipment, wherein the fourth version of the AI application is used for processing the input data received at the terminal equipment. A device and a computer program product corresponding thereto are provided.

Abstract: Provided is a method for manufacturing an array substrate. The method includes: providing a base substrate with a conductive pattern layer, wherein the base substrate is provided with a display region and a peripheral region disposed around the display region, wherein the conductive pattern layer includes a plurality of conductive lines disposed in the peripheral region; forming an electrode material film layer on the conductive pattern layer; forming a mask layer on the electrode material film layer, wherein the mask layer includes a plurality of electrode layer patterns disposed in the display region and protection patterns disposed above the conductive lines; and etching the electrode material film layer and removing the mask layer.

Abstract: A preparation method of a uniform low stress cone shaped charge liner includes the steps of multi-pass extrusion forming, vibration aging treatment, and cryogenic treatment. The step of multi-pass extrusion forming refers to 4 to 8 passes of extrusion deformation under the actions of a three-dimensional compressive stress and a deformation rate of 5 to 10 mm/s, having a deformation amount of 5 to 50% for each pass. The shaped charge liner prepared by the present invention has high dimensional accuracy, good geometric symmetry, low stress value, and excellent stability in the precise machining process and in use, which may significantly improve the penetration capability and stability of the shaped charge liner of high-explosive anti-tank warheads.

Abstract: In some aspects, a mobile device may receive, from a transmitting device, the signal by a plurality of antennas. The mobile device may measure one or more phase differences among the signal received at the plurality of antennas. The mobile device may determine a first set of possible values for the angle of arrival that are consistent with the one or more phase differences. The mobile device may measure one or more signal values using one or more sensors of the mobile device. The mobile device may for each of the first set of possible values, determining a confidence score based on the one or more signal values. The mobile device may select, based on the confidence scores, one of the first set of possible values as the angle of arrival.

Abstract: A gradient control method for a microstructure ultrafine crystallization of a deep cone copper shaped charge liner includes the steps of an extrusion forming, a recrystallization heat treatment, and a high-frequency percussion. A multi-pass extrusion is used in the extrusion forming, and in the high-frequency percussion step, a percussion speed is 30,000 to 40,000 times/min, a percussion force is 1600 N to 2000 N, and a number of percussion times is 1 to 3. The forming and surface quality control of the deep cone shaped charge liner are realized by the control technology of the present invention; the plasticity of the material is improved, and fine crystal structures are obtained; and an ultrafine grain gradient structure distributed along the thickness direction is formed in the inner surface of the shaped charge liner.

Abstract: An embodiment provides a method for treating a body fluid of a patient, including: removing the body fluid from a patient; applying a treatment to the body fluid, wherein the treatment comprises an antibody that joins with an aging process targeted antigen (TA) in the body fluid to form an antibody-TA complex, wherein the antibody comprises a tag sensitive to an illumination; removing the antibody-antigen complex from the body fluid; and returning the body fluid to the patient. Other aspects are described and claimed.

Abstract: An embodiment provides a method for treatment of a viral antigen for the COVID-19 virus, including: obtaining a body fluid from a patient; introducing the body fluid to at least one binding antibody, wherein the at least one binding antibody binds to an antigen of the SARS-CoV-2 spike (S) protein and comprises a conjugated metal; forming a viral antigen-antibody complex; and removing the viral antigen-antibody complex from the body fluid using a radiofrequency method; and returning the body fluid to the patient. Other aspects are described and claimed.

Abstract: Described is a system and method that provides a data protection risk assessment for the overall functioning of a backup and recovery system. Accordingly, the system may provide a single overall risk assessment score that provide an operator with an “at-a-glance” overview of the entire system. Moreover, the system may account for changes that occur over time based on leveraging statistical methods to automatically generate assessment scores for various components (e.g. application, server, network, load, etc.). In order to determine a risk assessment score, the system may utilize a predictive model based on historical data. Accordingly, residual values for newly observed data may be determined using the predictive model and the system may identify potentially anomalous or high risk indicators.

Abstract: A fine blanking device and method for forming a friction plate with friction material layers. The fine blanking device includes an upper die, a lower die, a guide mechanism, a punch and a counter punch. Upper and lower blank holders are respectively provided at outer circumferences of the punch and the counter punch. The upper and lower blank holders are respectively provided with a buffer mechanism. Friction material powders are sintered on both sides of the base sheet. The friction material layers are trimmed and planished by hot pressing. The base sheet with the friction material layers is fixed by the upper blank holder and the lower blank holder. A tooth profile with an absolute shear fractural surface is formed. The fixing indentation of the V-shaped structure of the friction material layers is cut off for obtaining a finished friction plate product with the friction material layers.

Abstract: A programming method for a memory device is disclosed. The programming method comprises moving a plurality of first charge carriers at a shallow energy level to a channel in a substrate layer before a programming operation for a first word line, wherein the plurality of first charge carriers at the shallow energy level correspond to a memory cell to be programmed.

Abstract: A method includes determining a first instance of a current version for a machine learning model and a second instance of an upgraded version for the machine learning model, the first instance executing a service for processing data; adjusting respectively, if it is determined that the service is to be migrated from the first instance to the second instance, a first allocation policy for storage space of the first instance and a second allocation policy for storage space of the second instance to a first target policy and a second target policy, wherein the first target policy is used to phase out storage space and the second target policy is used to phase in storage space; reclaiming allocated storage space for the first instance based on the first target policy; and allocating required storage space for the second instance based on the second target policy to realize migration of the service.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for data distillation. The method includes: training an input data set by using a machine learning training process to establish a training model of the input data set; extracting multiple weights from the training model of the input data set, wherein the multiple weights contain information indicating the input data set, and the multiple weights are orthogonal to each other; and retraining the training model by using the multiple weights for generating a reconstructed data set. The embodiments of the present disclosure can greatly reduce the data storage cost of a data storage system and maintain the performance of the data storage system.