Abstract: A method for manufacturing an early treatment appliance for guiding mandibular growth and reconstruction with a maxillary occlusal structure is provided. A maxillary arch is arranged by determining a functional occlusal plane, a treatment target position of a maxillary first molar, a treatment target position of a maxillary central incisor, a treatment target positions of canine to bicuspid in a middle section of the maxillary arch, and a maxillary arch form, and a target mandibular arch is determined based on a centric relation jaw position and the target maxillary arch, and then the mandibular occlusion reconstruction is guided by adjusting the mandibular arch or arranging a jaw pad based on the condition of the child. The maxillary arch structure can be restored to a normal range conforming to the age and growth pattern structure of an individual while the pathogenesis is controlled.

Abstract: A graft copolymer and a preparation method and use thereof. The method for preparing a graft copolymer includes: dissolving an N-ethyl-2-pyrrolidinone-substituted flavan-3-ol (EPSF) and a starch in a polar organic solvent, to obtain a raw material solution; and mixing the raw material solution with ascorbic acid and hydrogen peroxide to obtain a mixture, and subjecting the mixture to a grafting reaction, to obtain the graft copolymer.

Abstract: A graft copolymer and a preparation method and use thereof. The method for preparing a graft copolymer includes: dissolving an N-ethyl-2-pyrrolidinone-substituted flavan-3-ol (EPSF) and a starch in a polar organic solvent, to obtain a raw material solution; and mixing the raw material solution with ascorbic acid and hydrogen peroxide to obtain a mixture, and subjecting the mixture to a grafting reaction, to obtain the graft copolymer.

Abstract: An image registration method includes: acquiring a target image comprising a target object; inputting the target image to a preset network model, and outputting position information and rotation angle information of the target object; obtaining a reference image comprising the target object by querying a preset image database according to the position information and the rotation angle information; and performing image registration on the target image and the reference image to obtain a corresponding position of the target object of the target image in the reference image.

Abstract: A first set of values for a set of metrics is obtained. A given metric of the set of metrics monitors a given component of a set of components of a computing system. The first set of values is obtained during a period of expected behavior of the computing system. One or more correlations are determined between values of the first set of values to establish one or more expected correlations between values of two or more metrics. A second set of values for the set of metrics is obtained. A determination is made as to whether values of the second set of values maintain the one or more expected correlations determined based on the first set of values.

Abstract: Embodiments of the present disclosure provide a method and apparatus for document recommendation by obtaining a plurality of first data for a source recommendation task from activities related to a source user using a plurality of first documents; obtaining a plurality of second data for a target recommendation task from activities related to a target user using a plurality of second documents; performing the target recommendation task based on the plurality of first data, the plurality of second data, and knowledge transferred from the source recommendation task to obtain a target recommendation model; and conducting document recommendation to the target user using the target recommendation model.

Abstract: A method and apparatus for detecting a moving target, an electronic equipment and a storage medium. The method includes obtaining a first frame image and a second frame image which are adjacent, and a rotation matrix and a translation matrix between the first and second frame images, the first and second frame image include the same moving target; extracting first feature points from the first frame image; determining second feature points corresponding to the first feature points from the second frame image based on the second frame image and the first feature points; determining distances between the second feature points and corresponding polar lines based on the rotation matrix and the translation matrix; determining third feature points located on the moving target based on the distances; and detecting the moving target based on the third feature points.

Abstract: The present invention belongs to the field of ship engineering, and provides a ship real wind measuring device calibration method. In this method a ship sway simulator is build using a 2-axis ganged platform, natural wind is simulating generated using a wind tunnel flow field. Then the ship sway simulator is controlled to simulate the ship spatial motion under the disturbance of stormy waves. Furthermore, the data of the wind speed and direction is obtained under different sway angles and speeds. So that the database of wind direction and speed measurement, attitude measurement, actual wind direction and speed measurement is formed. Subsequently, a calibration model based on BP neural network is constructed using this database, a ship real wind direction and speed calibration algorithm is formed, which can calibrate a ship real wind measuring device.

Abstract: Embodiments of the present disclosure relate to a method an apparatus and a computer program product for constructing a scalable storage device by constructing the scalable storage device by combining a plurality of modularized building blocks; wherein each modularized building block in the plurality of modularized building blocks comprises a magnetic disk enclosure; and at least one modularized building block in the plurality of modularized building blocks comprises a storage processor, the storage processor comprising an input output processing unit; forming a cluster using the input output processing unit in the at least one modularized building block; and processing, using the cluster, an input or output (I/O) request from a host and metadata service.

Abstract: A method and apparatus for detecting a moving target, an electronic equipment and a storage medium. The method includes obtaining a first frame image and a second frame image which are adjacent, and a rotation matrix and a translation matrix between the first and second frame images, the first and second frame image include the same moving target; extracting first feature points from the first frame image; determining second feature points corresponding to the first feature points from the second frame image based on the second frame image and the first feature points; determining distances between the second feature points and corresponding polar lines based on the rotation matrix and the translation matrix; determining third feature points located on the moving target based on the distances; and detecting the moving target based on the third feature points.

Abstract: The disclosure relates to a method and an electronic device for displaying animation. The method includes: a display instruction is received, wherein the display instruction is configured to trigger the electronic device to display an animation corresponding to an animation model; a spatial parameter of an image device is obtained, wherein the spatial parameter indicates coordinates in a spatial model; an initial position of the animation model in the spatial model is determined based on the special parameter; and the animation at the initial position is displayed based on a skeleton animation, wherein the skeleton animation is generated based on the animation model.

Abstract: Embodiments of the present disclosure provide a method and apparatus for video surveillance. The method comprises: receiving a video data transmission request from a mobile device; registering the mobile device as a temporary surveillance device of the video surveillance system in response to the video data transmission request; establishing a wireless connection with the mobile device, receiving video data from the mobile device via the wireless connection; and processing and storing the video data. The methods or apparatuses of the present disclosure enables a mobile device to temporarily join in a video monitoring system as needed so as to supplement and reinforce the existing video monitoring systems, e.g., enhancing the coverage and/or precision of the video surveillance systems.

Abstract: The present disclosure provides a method and apparatus for storing data. The method comprises: extracting metric information and metadata associated with the metric information from time series data, the metric information including a time value and a numerical value at the time value; and staling the metric information in an object storage device and the metadata in a database. As compared with the prior art, the present disclosure provides a flexible storage design to guarantee extensibility of storage capacity and meanwhile support fast data retrieving.

Abstract: A method, system and computer program product for performing video analytics on content, by collecting content (video data) from a plurality of sources, wherein the content pursues a streaming protocol; and performing at least one of storing the content in a local repository for downtime recording wherein on negative determination of a network connection, wherein servers directly coupled to a plurality of sources cache content until the network connection retains normalcy or performing analytics at least one of a real-time insight or an interactive insight or a batch insights on the content, and displaying to the user a resulting insight wherein the resulting insights are in a human readable form.

Abstract: Embodiments of the present disclosure provide a method and apparatus for document recommendation by obtaining a plurality of first data for a source recommendation task from activities related to a source user using a plurality of first documents; obtaining a plurality of second data for a target recommendation task from activities related to a target user using a plurality of second documents; performing the target recommendation task based on the plurality of first data, the plurality of second data, and knowledge transferred from the source recommendation task to obtain a target recommendation model; and conducting document recommendation to the target user using the target recommendation model.

Abstract: Embodiments of the present disclosure provide a method and apparatus for data processing. The apparatus comprises: a dividing unit configured to divide, based on a predetermined policy, computation workload for data in a storage node into at least one sub-workload; and a dispatching unit configured to dispatch the at least one sub-workload to at least one of the storage node and a computing node that is physically separate from the storage node for execution of the at least one sub-workload with computing resources in the at least one of the storage node and the computing node.

Abstract: A first set of values for a set of metrics is obtained. A given metric of the set of metrics monitors a given component of a set of components of a computing system. The first set of values is obtained during a period of expected behavior of the computing system. One or more correlations are determined between values of the first set of values to establish one or more expected correlations between values of two or more metrics. A second set of values for the set of metrics is obtained. A determination is made as to whether values of the second set of values maintain the one or more expected correlations determined based on the first set of values.

Abstract: Embodiments of the present disclosure provide a method and apparatus for providing data storage service. The method comprises: receiving a storage service template from an user, the storage service template specifying a storage service policy for the user and a service instance to launch; and providing a storage service according to the storage service template; wherein the storage service policy defines a storage function to be performed for data of the user. With the method and apparatus according to embodiments of the present disclosure, a unified solution for overall orchestration of storage functions can be provided to enable the user to customize the required storage function flexibly.

Abstract: Embodiments of the present disclosure provide a method and apparatus for document recommendation by obtaining a plurality of first data for a source recommendation task from activities related to a source user using a plurality of first documents; obtaining a plurality of second data for a target recommendation task from activities related to a target user using a plurality of second documents; performing the target recommendation task based on the plurality of first data, the plurality of second data, and knowledge transferred from the source recommendation task to obtain a target recommendation model; and conducting document recommendation to the target user using the target recommendation model.

Abstract: A first set of values for a set of metrics is obtained. A given metric of the set of metrics monitors a given component of a set of components of a computing system. The first set of values is obtained during a period of expected behavior of the computing system. One or more correlations are determined between values of the first set of values to establish one or more expected correlations between values of two or more metrics. A second set of values for the set of metrics is obtained. A determination is made as to whether values of the second set of values maintain the one or more expected correlations determined based on the first set of values.