Abstract: Proposed in the present disclosure is a current collector structure, including a positive current collector, in which the positive current collector includes a current collector body and a current collector leading-out tab connected to each other; in which the current collector body is provided with a center underflow hole through the current collector body in a thickness direction thereof, and an entire surface of a surface of the current collector body in the thickness direction is a welding surface configured to weld with a positive tab of a winding core. Proposed in the present disclosure is also a battery pack including the aforementioned current collector structure.

Abstract: A display module, including a first liquid crystal panel and a light modulation layer, where the first liquid crystal panel includes a first substrate and a second substrate opposite to each other, and a first liquid crystal layer between the first substrate and the second substrate; the light modulation layer is on a side of the second substrate away from the first substrate, and configured to reflect first colored light; and liquid crystal in the first liquid crystal layer is configured to present a planar texture state or a focal conic texture state in response to an action of an electric field, where the liquid crystal in the first liquid crystal layer presenting the planar texture state reflects second colored light with a color different from the first colored light, while the liquid crystal in the first liquid crystal layer presenting the focal conic texture state transmits light.

Abstract: An active interaction method, an electronic device and a readable storage medium, relating to the field of deep learning and image processing technologies, are disclosed. According to an embodiment, the active interaction method includes: acquiring a video shot in real time; extracting a visual target from each image frame of the video, and generating a first feature vector of each visual target; for each image frame of the video, fusing the first feature vector of each visual target and identification information of the image frame to which the visual target belongs to generate a second feature vector of each visual target; aggregating the second feature vectors with the same identification information respectively to generate a third feature vector corresponding to each image frame; and initiating active interaction in response to determining that the active interaction is to be performed according to the third feature vector of a preset image frame.

Abstract: A reflective display panel and a display device are provided. The reflective display includes: a first liquid crystal cell including a first substrate and a second substrate oppositely arranged to each other, and a first liquid crystal layer between the first substrate and the second substrate; a plurality of pixel units on the first substrate, where each pixel unit includes a first sub-pixel unit and a second sub-pixel unit; an optical structure, arranged at a light-emitting side of the first liquid crystal cell and covering the pixel units.

Abstract: Provided is a method for predicting protein-protein interaction. Also provided are an electronic device and a non-transitory computer readable storage medium.

Abstract: The invention relates to a contribution incentive-based blockchain collaboration method and system, which is characterized in, comprising: 1) applying from an ordinary node to a qualification assessment node for registered qualification; 2) dividing a task into a number of subject tasks and creating corresponding subject task ledgers respectively, and creating a number of sub-tasks corresponding to the subject task in each of the subject task ledgers; 3) applying from the ordinary node to the qualification assessment node for receiving the sub-tasks; 4) by the qualification assessment node, auditing all sub-tasks which are applied for reception by the ordinary node; 5) submitting completed sub-tasks from the ordinary node to a task quality audit node; 6) by the task quality audit node, calculating contribution incentives and qualification credits for the sub-tasks completed by the ordinary node; 7) by the task quality audit node, traversing through each subject task ledger respectively, for finding out a bloc

Abstract: A heterogeneous visual acuity chart and a visual acuity testing method and device are provided. The heterogeneous visual acuity chart is a size illusion chart composed of a heterogeneous reference zone and at least two types of optotypes of different sizes, where the heterogeneous reference zone is used to cause incorrect identification on the different types of optotypes of different sizes. The visual acuity testing method and device determine whether a visual acuity of a subject is true based on a difference between visual acuities tested with the heterogeneous visual acuity chart and a standard logarithmic visual acuity chart. The visual acuity chart is a size illusion chart composed of optotypes of different sizes and a perspective, which causes an illusion on a visual depth to interfere with the identification of the optotypes of different sizes.

Abstract: A reflective display panel and a display device are provided. The reflective display includes: a first liquid crystal cell including a first substrate and a second substrate oppositely arranged to each other, and a first liquid crystal layer between the first substrate and the second substrate; a plurality of pixel units on the first substrate, where each pixel unit includes a first sub-pixel unit and a second sub-pixel unit; an optical structure, arranged at a light-emitting side of the first liquid crystal cell and covering the pixel units.

Abstract: An active interaction method, an electronic device and a readable storage medium, relating to the field of deep learning and image processing technologies, are disclosed. According to an embodiment, the active interaction method includes: acquiring a video shot in real time; extracting a visual target from each image frame of the video, and generating a first feature vector of each visual target; for each image frame of the video, fusing the first feature vector of each visual target and identification information of the image frame to which the visual target belongs to generate a second feature vector of each visual target; aggregating the second feature vectors with the same identification information respectively to generate a third feature vector corresponding to each image frame; and initiating active interaction in response to determining that the active interaction is to be performed according to the third feature vector of a preset image frame.

Abstract: Embodiments of the present disclosure disclose an intelligent agent reinforcement learning method and apparatus, a device, and a medium. The method includes: acquiring key visual information on which an intelligent agent makes a policy for a current environment image; acquiring actual key visual information of the current environment image; determining attention variation reward information based on the key visual information and the actual key visual information; and adjusting reward feedback of reinforcement learning of the intelligent agent based on the attention variation reward information.

Abstract: The invention relates to a contribution incentive-based blockchain collaboration method and system, which is characterized in, comprising: 1) applying from an ordinary node to a qualification assessment node for registered qualification; 2) dividing a task into a number of subject tasks and creating corresponding subject task ledgers respectively, and creating a number of sub-tasks corresponding to the subject task in each of the subject task ledgers; 3) applying from the ordinary node to the qualification assessment node for receiving the sub-tasks; 4) by the qualification assessment node, auditing all sub-tasks which are applied for reception by the ordinary node; 5) submitting completed sub-tasks from the ordinary node to a task quality audit node; 6) by the task quality audit node, calculating contribution incentives and qualification credits for the sub-tasks completed by the ordinary node; 7) by the task quality audit node, traversing through each subject task ledger respectively, for finding out a bloc

Abstract: The complex temporal-spatial variation of raindrop size distribution will affect the precision of quantitative precipitation estimation (QPE) produced from radar data, making it difficult to correct echo attenuation. This invention presents a method for regional attenuation correction of weather radar using a multiple microwave links (ML) network. By measuring the rain attenuation of multiple microwave links in a specific frequency, matching with the weather radar in time and space and processed with discretization. Based on a series of attenuation values of the microwave link network and combined iterations, the attenuation coefficient of each grids is obtained; the total attenuation value of the path is obtained by combining the distance between the radar and each grid point, by which the reginal attenuation of radar echo can be corrected by the ML network efficiently.

Abstract: A method for evaluating power characteristics of wind turbines, an apparatus and a storage medium. By means of verifying master control operating data of the wind turbines (1), correcting nacelle wind speed data (2), and calculating a power curve of the wind turbines and a guarantee value for the power curve, a wind turbine power characteristics evaluation result (3) is obtained. The present method economically and efficiently evaluates a power characteristics curve for wind turbines, makes full use of existing operating data of the wind turbine master control system, and performs evaluation of the power characteristics of wind turbines of a same model in a wind farm. The method ensures accuracy and test efficiency, and controls test times within one month, thereby ensuring the reliability and high efficiency of the wind turbines.

Abstract: The complex temporal-spatial variation of raindrop size distribution will affect the precision of quantitative precipitation estimation (QPE) produced from radar data, making it difficult to correct echo attenuation. This invention presents a method for regional attenuation correction of weather radar using a multiple microwave links (ML) network. By measuring the rain attenuation of multiple microwave links in a specific frequency, matching with the weather radar in time and space and processed with discretization. Based on a series of attenuation values of the microwave link network and combined iterations, the attenuation coefficient of each grids is obtained; the total attenuation value of the path is obtained by combining the distance between the radar and each grid point, by which the reginal attenuation of radar echo can be corrected by the ML network efficiently.

Abstract: A membrane fuel cell delimited by bipolar plates comprising a cathodic compartment and an anodic compartment, said cathodic compartment comprising means for feeding air from the bottom to the top, said anodic compartment comprising means for feeding a hydrogen-containing fuel from the top to the bottom, at least one of said cathodic and anodic compartment comprising a flow distributor consisting of a porous material and a method of operating cell said.

Abstract: A signal detecting method and device are disclosed. The method includes: obtaining a matched filtering signal; determining a filtering matrix; decomposing the filtering matrix to obtain a principal diagonal matrix and a non-principal diagonal matrix; obtaining a parameter matrix and a parameter vector according to the principal diagonal matrix, the non-principal diagonal matrix, and the matched filtering signal; obtaining an iterative parameter and an iterative initial value according to the parameter matrix and the parameter vector; and performing an iterative calculation according to the iterative parameter and the iterative initial value; if the number of iterations reaches a preset number, obtaining an iterative final value, and obtaining an input of a decoder according to the iterative final value. The signal detection method may reduce the computational complexity and bit error rate, improve data throughput, and more advantageous for use in a large-scale multi-input multi-output system.

Abstract: A signal detecting method and device are disclosed. The method includes: obtaining a matched filtering signal; determining a filtering matrix; decomposing the filtering matrix to obtain a principal diagonal matrix and a non-principal diagonal matrix; obtaining a parameter matrix and a parameter vector according to the principal diagonal matrix, the non-principal diagonal matrix, and the matched filtering signal; obtaining an iterative parameter and an iterative initial value according to the parameter matrix and the parameter vector; and performing an iterative calculation according to the iterative parameter and the iterative initial value; if the number of iterations reaches a preset number, obtaining an iterative final value, and obtaining an input of a decoder according to the iterative final value. The signal detection method may reduce the computational complexity and bit error rate, improve data throughput, and more advantageous for use in a large-scale multi-input multi-output system.

Abstract: Disclosed are a method and a computer program product for achieving fairness in utilization of a channel in a network. The network includes plurality of stations such that at least one station of the plurality of stations includes at least one radio. The at least one radio may fail to access the channel even when the channel is available for performing transmission. The method includes determining a number of idle slots occurred at the channel during a disruption period when the at least one radio is unavailable for transmission. The number of idle slots occurred during the disruption period may be accumulated as a credit. Based on the accumulated credit, an initial value of a backoff counter of the at least one station may be reset. The reset initial value of the backoff counter enables the at least one radio to utilize the accumulated idle slots for next transmission.

Abstract: Disclosed are a method and a computer program product for achieving fairness in utilization of a channel in a network. The network includes plurality of stations such that at least one station of the plurality of stations includes at least one radio. The at least one radio may fail to access the channel even when the channel is available for performing transmission. The method includes determining a number of idle slots occurred at the channel during a disruption period when the at least one radio is unavailable for transmission. The number of idle slots occurred during the disruption period may be accumulated as a credit. Based on the accumulated credit, an initial value of a backoff counter of the at least one station may be reset. The reset initial value of the backoff counter enables the at least one radio to utilize the accumulated idle slots for next transmission.