Abstract: A method for quantifying and assessing a scheduling risk considering source load fluctuation and rescheduling, and an apparatus for quantifying and assessing a scheduling risk considering source load fluctuation and rescheduling are provided. The method includes establishing a scene set considering a new energy disturbance; establishing and solving a rescheduling optimization model considering the new energy disturbance in each scene based on a preset scheduling plan according to the scene set, so as to obtain a solving result of the rescheduling optimization model; and calculating a risk quantifying and assessing result corresponding to the preset scheduling plan according to the solving result of the rescheduling optimization model.

Abstract: Systems and methods for automatically associating content characteristics to a third-party content are provided. A uniform resource locator identifying a resource is received from a content provider. The content is rendered to produce an object tree. A first node of the object tree is determined, where the first node represents a content slot. A second node of the object tree proximate to the first node is identified. The second node has a content characteristic, which is extracted. The extracted content characteristic is associated with the first node and stored.

Abstract: An internal detection system of stress concentration of an oil and gas pipeline based on unsaturated orthogonally magnetization is provided. The system comprises a detection device and a processing device; the detection device comprises a detection probe; the detection probe comprises a magnetizing device and a magnetic signal acquisition device; the magnetizing device is fixedly connected with the magnetic signal acquisition device; the magnetizing device is configured to magnetize a pipeline to be detected, so that the pipeline generates a magnetized magnetic field; the magnetic signal acquisition device is configured to acquire a magnetic signal of the magnetized magnetic field to obtain an acquired signal and send the acquired signal to the processing device; the processing device is configured to receive the acquired signal and obtain a stress concentration area of the pipeline based on the acquired signal.

Abstract: A method for preparing a nano metal paste, including the following steps. (S1) An organic metallic salt and an organic reducing agent are added into water or an organic solvent to obtain a first mixture. (S2) The first mixture is reacted under heating to obtain a second mixture containing metal nanoparticles. (S3) The second mixture is concentrated to obtain a nano metal paste containing 20-95% by weight of the metal nanoparticles. A conductive paste and A conductive ink prepared by using the nano metal paste as filler are also provided.

Abstract: A method for forming an ultrafine-pitch all-copper interconnect structure is provided. Nano-copper particles are mixed with a solvent, a dispersant and a viscosity modifier to prepare a nano-copper paste. A chip with a preset number of copper pillars having a preset diameter and a substrate are selected, cleaned and pretreated. The chip is sucked and flipped by a bonding machine to make the copper pillars face outward. The chip is sucked through a suction nozzle of the bonding machine and dipped in the nano-copper paste. A protective gas is fed, and the copper pillars are aligned with copper pads on the substrate through an optical system of the bonding machine, bonded with the substrate at a preset pressure and temperature under ultrasonication, and cooled at room temperature to obtain the interconnect structure. An ultrafine-pitch all-copper interconnect structure fabricated by the method is also provided.

Abstract: A data processing method, an electronic device, and a non-transitory computer readable storage medium are provided. The method includes: obtaining a first output image about a first space in a virtual space based on a first value, an output parameter being the first value and the first space including a target object; in response to a first condition being met, adjusting the output parameter from the first value to a second value; and after the output parameter is adjusted to be the second value, obtaining a second output image of a second space in the virtual space based on the second value, the second space including the target object.

Abstract: Implementations of this specification provide prediction methods and apparatuses for adjusting computing power. One method comprises receiving a prediction request, wherein the prediction request comprises a sample to be tested, determining a computing power coefficient allocated to the prediction request, wherein the computing power coefficient indicates a proportion of hardware computing power resources allocated to the prediction request to total hardware computing power resources needed for a neural network model to run on a computing platform, determining k sub-networks inn sub-networks of the neural network model to be used for a present time based on the computing power coefficient, where n>2, and inputting the sample to be tested to the k sub-networks to obtain a prediction result.

Abstract: Systems and methods for automatically associating content characteristics to a third-party content are provided. A uniform resource locator identifying a resource is received from a content provider. The content is rendered to produce an object tree. A first node of the object tree is determined, where the first node represents a content slot. A second node of the object tree proximate to the first node is identified. The second node has a content characteristic, which is extracted. The extracted content characteristic is associated with the first node and stored.

Abstract: A method for processing command includes obtaining an input command-lineinterface (CLI) command, converting the CLI command into a tree structure to obtain a to-be-processed command tree, determining a target subtree corresponding to the to-be-processed command tree in a standard command tree, and parsing the to-be-processed command tree according to nodes and a connection structure between the nodes of the target subtree to obtain a command parsing result. The standard command tree is a command tree obtained by converting standard commands in a standard command set into an integrated tree structure.

Abstract: Systems and methods for automatically associating content characteristics to a third-party content are provided. A uniform resource locator identifying a resource is received from a content provider. The content is rendered to produce an object tree. A first node of the object tree is determined, where the first node represents a content slot. A second node of the object tree proximate to the first node is identified. The second node has a content characteristic, which is extracted. The extracted content characteristic is associated with the first node and stored.

Abstract: An information processing method includes: displaying a first screen of an application program, the first screen being an image of observing a first virtual object in a virtual environment though an image acquisition model; in response to an operation of initiating an interactive action of the first virtual object, controlling the first virtual object to initiate the interactive action, and determining a second virtual object in the virtual environment whose feature satisfies a feature locking condition; and controlling the first virtual object to perform the interactive action with the second virtual object, and displaying a second screen of the application program, the second screen being an image of observing the interactive action between the first virtual object and the second virtual object through the image acquisition model.

Abstract: A target sample including a sample feature, a first label, and a second label is obtained, where a user corresponds to the target sample, the first label indicates whether a target object is clicked on by the user, and the second label indicates whether the user implements a target behavior related to the target object. Model processing is performed on the sample feature using a prediction model with a first branch and first probability and a second branch and second probability. A first loss is determined based on a first label value and the first probability. When a predetermined condition is satisfied, the second loss is determined based on a second label value of the second label and the second probability, and a predicted loss of the target sample is determined based on the first loss and the second loss. Training the prediction model based on the predicted loss.

Abstract: A system for automatically generating a content item may include receiving a content item template having a set of elements for creating a content item and content item data for the set of elements. A placeholder for each element of the set of elements may be generated and a space allocation for each element may be selected based on the generated placeholders for each element. A determination if a conflict exists based on the determined space allocations for each element may be made and, when a conflict exists, an element from the set of elements may be eliminated and a new reduced set of elements may be returned. Responsive to determining no conflict exists, a content item may be generated using the content item data for the reduced set of elements and the determined space allocations.

Abstract: A method for acquiring an object's attention information includes: displaying a three-dimensional (3D) virtual image in a virtual scene, the 3D virtual image being a 3D image corresponding to a virtual object in the virtual scene mapped from a physical object; determining a target object of the 3D virtual image displayed in a display area; and based on the target object, determining an attention focus object of the 3D virtual image, the attention focus object belonging to at least a part of the 3D virtual image.

Abstract: An object determination method includes outputting a virtual scene image of a virtual scene. The virtual scene image includes a stereoscopic virtual image of at least one virtual object in the virtual scene. The method further includes, based on a selection operation on the virtual object in the virtual scene image, determining an operation point coordinate of the selection operation in a display area. The display area is configured to display the virtual scene image. The method further includes determining a reference coordinate position in the virtual scene, determining a spatial coordinate of the operation point coordinate of the selection operation mapped into the virtual scene, and determining at least one candidate virtual object for a user to select from the virtual scene in connection with the reference coordinate position and the spatial coordinate.

Abstract: A system for automatically generating a content item may include receiving a content item template having a set of elements for creating a content item and content item data for the set of elements. A placeholder for each element of the set of elements may be generated and a space allocation for each element may be determined based on the generated placeholders for each element. A determination if a conflict exists based on the determined space allocations for each element may be made and, responsive to determining no conflict exists, a content item may be generated using the content item data and the determined space allocations.

Abstract: Systems and methods for automatically associating content characteristics to a third-party content are provided. A uniform resource locator identifying a resource is received from a content provider. The content is rendered to produce an object tree. A first node of the object tree is determined, where the first node represents a content slot. A second node of the object tree proximate to the first node is identified. The second node has a content characteristic, which is extracted. The extracted content characteristic is associated with the first node and stored.

Abstract: Systems and methods for automatically associating content characteristics to a third-party content are provided. A uniform resource locator identifying a resource is received from a content provider. The content is rendered to produce an object tree. A first node of the object tree is determined, where the first node represents a content slot. A second node of the object tree proximate to the first node is identified. The second node has a content characteristic, which is extracted. The extracted content characteristic is associated with the first node and stored.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content items. In one aspect, a method includes receiving user interaction data specifying user interactions with a publisher resource. A heat map specifying levels of user interaction with various portions of the publisher resource is created. Content item slot performance information specifying one or more performance measures for content items presented in various candidate content item slot locations are identified. One of the candidate content item slot locations is selected based on the heat map and the one or more performance measures. Data that cause presentation of suggestion information that identify the one candidate content item slot location as a suggested content item slot location are generated and output.

Abstract: A content conversion computer system for converting static image content to dynamic content includes a memory for storing data and a processor in communication with the memory. The processor is configured to receive a static image content having a plurality of image characteristics, analyze the static image content to determine the plurality of image characteristics, determine a plurality of dynamic content characteristics used for converting the static image content to a dynamic content, and generate the dynamic content based upon the image characteristics and the dynamic content characteristics.