Abstract: A method and apparatus for processing a call task, a device, a computer-readable storage medium, and a computer program product are provided. The method includes: acquiring a weight assigned to a free agent for a call task; acquiring call parameters for executing the call task during a first time period; determining a number of calls during a second time period based on the assigned weight and the call parameters; and executing the call task based on the number of calls and the assigned weight.

Abstract: A carpet of carbon nanotubes (CNTs) extends from a conductive substrate. The CNTs are bundled, and the bundles are bonded to the substrate to create low-resistance connections. A polymeric adhesive around the bases of the bundles binds the CNTs to the substrate without interfering with the low-resistance connection. The bundles can be organized into interconnected walls defining an irregular mosaic of valleys.

Abstract: A method for preparing lithium bis(fluorosulfonyl)imide, includes reacting bis(fluorosulfonyl)imide with lithium carbonate in a mixed organic solvent to obtain lithium bis(fluorosulfonyl)imide after post-treatment. In the synthetic route of the lithium bis(fluorosulfonyl)imide, the reaction process stays at the stage of lithium bicarbonate, so there is little water in the reaction system, and it is very easy to recover the generated lithium bicarbonate. The process is simple and can be used to prepare lithium bis(fluorosulfonyl)imide of high quality at a high yield.

Abstract: Methods and systems for determining a signal-to-noise metric for locations of interest on a specimen are provided. One or more statistics of non-defect signals from background patch images in a test image that are similar to a patch image of a location of interest in the test image are determined. The background patch images are found by searching a reference image for patch images that are similar to the location of interest patch image and finding the corresponding patch images in the test image. The signal of the location of interest in the test image and the one or more statistics are used to determine a signal-to-noise metric for the location of interest. The signal-to-noise metric can be used in applications such as defect annotation, deep learning (DL) model tunability, DL model repeatability, and novel defect detection.

Abstract: The present disclosure describes techniques for training a model using cross-domain adaptation to classify content requests from client devices having unknown attributes. The system can obtain requests for content from client devices of a first domain, and requests for content from client devices of a second domain. The system can train a model by propagating request attributes of the first domain through the model to generate first internal data from an internal layer of the model and a first output vector an output layer of the model. The system can propagate request attributes of the second domain to generate second internal data, and determine a difference between the first internal data and the second internal data. The system can update the model based on the difference and the output vector, and classify a third client device of the second domain using the model.

Abstract: A processor-implemented method for representing computation in a machine learning (ML) model as loops includes receiving the ML model. The ML model is initially represented as a graph having multiple nodes coupled by edges. A value number is assigned to each node in the graph based on a similarity in characteristics of the multiple nodes. A loop for computations in the graph is reconstructed based on the value number. The loop bounds are determined using an affine scalar evolution analysis technique.

Abstract: A wireless charger includes an upper housing assembly, a lower housing assembly, a magnetic sheet coil, and a heat dissipation ring. A concave structure is provided on an upper surface of the lower housing assembly, and the concave structure is coupled to the upper housing assembly to form a cavity structure. The cavity structure accommodates the magnetic sheet coil and the heat dissipation ring. The heat dissipation ring is embedded in the magnetic sheet coil and is in contact with the magnetic sheet coil. An upper surface of the heat dissipation ring is coupled to the upper housing assembly. A lower surface of the heat dissipation ring is coupled to a bottom of the concave structure of the lower housing assembly. The heat dissipation ring may transfer heat in the upper housing assembly to the bottom of the lower housing assembly.

Abstract: The present disclosure provides a time calibration method, including: determining, in response to a first cell transmitted from a first device, a first reception time corresponding to the first cell, and transmitting a second cell to the first device; and receiving a third cell that is fed back by the first device and carries a second reception time corresponding to the second cell, determining a first time offset value according to a first transmission time, the first reception time, a second transmission time corresponding to the second cell and the second reception time, and performing a time calibration according to the first time offset value. The present disclosure further provides a communication device and a computer-readable medium.

Abstract: A display substrate, a display panel, and preparation methods thereof. The display substrate includes a base substrate, a bonding pad, and an insulating layer. The bonding pad is located on one side of the base substrate and includes at least two bonding pad layers stacked in a thickness direction of the base substrate. The insulating layer is located between adjacent two of the bonding pad layers, and the insulating layer includes a via. In adjacent two of the bonding pad layers, the bonding pad layer on the side away from the base substrate extends into the via and is electrically connected to the bonding pad layer on the side close to the base substrate.

Abstract: Disclosed is a contaminated site sampling robot and an intelligent sampling method thereof. The robot includes a body with a walking mechanism, vision sensing system, drilling mechanism, and negative-pressure suction mechanism. The walking mechanism features two servo motors within a mounting platform, with track wheels attached to the servo motors' output ends. The vision sensing system comprises a supporting frame at one end of the mounting platform, equipped with a vision sensing camera and radar sensor. The drilling mechanism consists of a U-shaped base on the mounting platform's top, with a mechanical arm and drilling machine mounted at one end. The negative-pressure suction mechanism includes a U-shaped box on the mounting platform's middle part, housing a vacuum cleaner whose dust outlet connects to a sample collecting box. This setup allows for optimal path identification, positioning, obstacle avoidance, and control of sampling conditions, facilitating intelligent sampling of contaminated sites.

Abstract: Disclosed is a cascade water recycling intelligent system for shale gas exploitation, comprising a cascade water recycling system, wherein a data output end of the cascade water recycling system is connected with a data input end of an information system, a data output end of the information system is connected with a data input end of a decision making system, and a data output end of the decision making system is connected with a regulator; the cascade water recycling system comprises at least one time of water quantity judgment, a current exploiting intensity of shale gas is continued under a condition that the water quantity does not exceed a water safety threshold; and monitoring data is transferred to the information system under a condition that the water quantity exceeds the water safety threshold; the information system is further used for transferring the collected data to the decision making system.

Abstract: One of the important signals that online platforms rely upon is the click-through rate prediction. This allows a platform, such as a video platform, to provide items, such as videos, to users based on how likely the user is to interact with the item. A hypergraph model is provided to exploit the temporal user-item interactions to guide the representation learning with multi-modal features, and further predict the user click-through rate of an item. The hypergraph model is built upon the hyperedge notion of hypergraph neural networks. In this way, item modalities, such as visual, acoustic, and textual aspects can be used to enhance the click-through rate prediction and, thus, enhance the likelihood that the online platform will provide relevant content. The technology leverages hypergraphs, including interest-based hypergraphs and item hypergraphs that uniquely provide the relationship between user and items. The hypergraph model described demonstrably outperforms various state-of-the-art methods.

Abstract: Technologies are shown for mapping micro-video hashtags to content categories that involve collecting content categories from a content service, collecting micro-video, hashtags and user interaction semantic data from a micro-video service, determining a correlation of a content category to the micro-video, hashtags and user interaction semantic data using a multi-layer graph convolution network, and providing the hashtags correlated with the content category to the content service. The correlation can be determined by processing the semantic data with a concatenation layer and a full connected layer to produce a user-specific micro-video and hashtag representations. Similarity scores for determining correlation can be calculated from category content and a dot product of the representations.

Abstract: The present disclosure relates to a flame retardant composed of multi-component phase change material particles. These particles consist of paraffin wax, nano-flame retardant, and conventional flame retardant. The phase change material is modified with nano-flame retardant and physically coated with conventional flame retardant. The multi-component phase change material flame retardant is formed by creating a two-layer nucleus-shell structure. The nucleus core is made up of the conventional flame retardant, while the shell layer is composed of the nano-flame retardant doped phase change material. The multi-component flame retardant material combines the performance advantages of phase change material, nano flame retardant, and conventional flame retardant. The combination of nano flame retardant and phase change material weakens the disadvantages of phase change material and allows for the full utilization of the energy storage capabilities of the phase change material.

Abstract: A multi-stage water resource-recycling control system includes a sewage treatment device, a temperature feedback controller, a flow rate feedback controller, a decider, and a feedback controller group; wherein the output end of the sewage treatment device is connected with the input ends of the temperature feedback controller and the flow rate feedback controller, respectively; the output ends of the temperature feedback controller and the flow rate feedback controller are connected with the input end of the decider; the output end of the decider is connected with the input ends of the sewage treatment device and the feedback controller group, respectively; the output end of the feedback controller group is connected with the input end of the sewage treatment device. The objective of the present disclosure is to ensure that the output-water quality reaches the standard.

Abstract: Systems, methods and computer-readable storage media utilized to train a machine-learning architecture. One method includes receiving, by one or more processing circuits, a data set. The method further includes determining, by the one or more processing circuits, a first portion of the data set associated with a plurality of entities. The method further includes training, by the one or more processing circuits and utilizing the first portion of the data set, an entity model. The method further includes determining, by the one or more processing circuits, a second portion of the data set associated with a first subset of entities and determining a second subset of entities. The method further includes freezing, by the one or more processing circuits, one or more parameters associated with the second subset of entities and training, utilizing the second portion of the data set, the entity model.

Abstract: A data dictionary generation system automatically populates and updates a data dictionary for listings offering shared data. A data dictionary includes metadata describing the shared data, including the individual objects, such as the individual tables, schemas, views, and functions. The shared data and each individual data object may be described in the data dictionary by a set of data fields that corresponds to the shared dataset or the object type of the individual object. The data dictionary can be presented to data consumers along with the description of the listing to provide data consumers with a comprehensive description of the shared data provided by a listing, including a high-level summary of the shared data and description of each individual object included in the shared data. The data dictionary allows data consumers to understand the contents of the shared data and how to use the shared data.

Abstract: A virtual simulation manufacturing platform based on automatic control is provided. The platform comprises an integrated control system, a process treatment system, a virtual simulation system and a signal feedback system, wherein a data end of the integrated control system is connected to a data end of the process treatment system, the data end of the process treatment system is connected to a data end of the virtual simulation system, the data end of the virtual simulation system is connected to a data end of the signal feedback system. A physical workshop during the actual production process is connected to a virtual workshop on a computer by means of a digital twinning technology, and related information such as related process parameters and device parameters are completely displayed in the virtual simulation system in the virtual simulation manufacturing platform based on automatic control.

Abstract: Embodiments of this application provide a wireless charger, and relate to the field of charging device technologies. The wireless charger includes a wireless charging module, a first fan, a housing including a contact plate used for contact with the rear surface of the terminal device, and an air intake vent disposed at a position that is of the housing and that is close to the first fan, and an airflow guide structure disposed on a side that is of the housing and that is adjacent to the contact plate. The airflow guide structure extends toward the display surface of the terminal device.

Abstract: A method for automatic metadata tag identification for videos is described. Content features are extracted from a video into respective data structures. The extracted content features are from at least two different feature modalities. The respective data structures are encoded into a common data structure using an encoder of a recurrent neural network (RNN) model. The common data structure is decoded using a decoder of the RNN model to identify content platform metadata tags to be associated with the video on a social content platform. Decoding is based on group tag data for users of the social content platform that identifies groups of the users and corresponding group metadata tags of interest for the groups of users.