Abstract: The disclosure provides a compensation method, system, device and medium of a IR Drop of a display panel. The compensation method includes: constructing a IR Drop model of the display panel based on a distribution of equivalent resistances between adjacent pixels in the display panel; constructing a vector matrix equation of the IR Drop according to the IR Drop model; performing an equivalent processing on the vector matrix equation of the IR Drop to form a plurality of equivalent sub-matrices; iteratively solving IR Drop data of each node in each equivalent sub-matrix; and performing a voltage compensation on each pixel in the display panel according to the IR Drop data. The disclosure may realize a point-to-point accurate compensation of all nodes in the display panel, and improves a problem of uneven brightness of a high-resolution display panel caused by the IR Drop.

Abstract: One or more trained computer models are used to determine, at different stages of an order, an estimated time range for delivery of the order at an online system. The online system retrieves a set of candidate ranges of delivery times for the order. The online system applies the one or more computer models trained to predict a value of a metric for each candidate range in the set of candidate ranges, based on one or more features associated with the order. The online system selects a range of delivery times for the order from the set of candidate ranges, based on the predicted value of the metric for each candidate range. The online system causes a device of the user to display a user interface with the selected range of delivery times for the order.

Abstract: Provided are a method and apparatus for providing multimedia content, and a device and a storage medium. The method includes: playing, within a first page, a first multimedia content of a first group of multimedia content, the first group of multimedia content including a plurality of multimedia content having at least the same multimedia property; receiving a first indication related to a first act; switching, within the first page, to play a second multimedia content adjacent to the first multimedia content in the first group of multimedia content, based on a first direction indicated by the first act; and if receiving a second indication related to a second act, switching, within the first page, to play a third multimedia content in a second group of multimedia content, wherein the second group of multimedia content is different from the first group of multimedia content and includes at least one multimedia content.

Abstract: The disclosure provides a compensation method, system, device and medium of a IR Drop of a display panel. The compensation method includes: constructing a IR Drop model of the display panel based on a distribution of equivalent resistances between adjacent pixels in the display panel; constructing a vector matrix equation of the IR Drop according to the IR Drop model; performing an equivalent processing on the vector matrix equation of the IR Drop to form a plurality of equivalent sub-matrices; iteratively solving IR Drop data of each node in each equivalent sub-matrix; and performing a voltage compensation on each pixel in the display panel according to the IR Drop data. The disclosure may realize a point-to-point accurate compensation of all nodes in the display panel, and improves a problem of uneven brightness of a high-resolution display panel caused by the IR Drop.

Abstract: A method for disassembling and separating a waste lithium-ion battery comprises: directly tearing a battery pack or a cell of the waste lithium-ion battery with water and electricity without discharging after removing a housing, then performing first wet screening, directly performing wet degumming without drying after recovering an electrolyte and removing iron by magnetic separation, then performing first crushing with water, third wet screening and second crushing with water after performing second wet screening, and finally performing jigging separation to obtain copper powder, aluminum powder, positive and negative electrode materials, plastic powder and separator pulp.

Abstract: An online concierge system receives two types of orders, one of which requires fulfillment in a specific time interval, while the other can be fulfilled anytime up to a specific time interval. A machine learning model, trained on historical data about available shoppers in discrete time intervals, is used to predict how many shoppers will be available to fulfill orders in each time interval. For each time interval, the system retrieves the relevant orders of both types and creates candidate groups including orders of both types. For each group, the system determines a fulfillment cost based on items in the orders. The candidate group with the lowest cost is selected, and the orders in the selected group are sent to devices of available shoppers in that interval, prompting the shoppers to view and fulfill the orders.

Abstract: Provided herein are a method and apparatus for providing multimedia content, and device and storage medium. The method described herein includes: playing, within a first page, a first multimedia content of a first group of multimedia content, the first group of multimedia content including a plurality of multimedia content having at least the same multimedia property; receiving a first indication related to a first act; switching, within the first page, to play a second multimedia content adjacent to the first multimedia content in the first group of multimedia content, based on a first direction indicated by the first act; and if receiving a second indication related to a second act, switching, within the first page, to play a third multimedia content in a second group of multimedia content, wherein the second group of multimedia content is different from the first group of multimedia content and includes at least one multimedia content.

Abstract: An online concierge system allows users to order items within discrete time intervals later than a time when an order was received or for short-term fulfillment when the order was received. To account for a number of shoppers available to fulfill orders during different discrete time intervals and numbers of orders for fulfillment during different discrete time intervals, the online concierge system specifies a target rate for orders fulfilled later than a specified discrete time interval and a threshold from the target rate. A trained machine learning model periodically predicts a percentage of orders being fulfilled late, with an order associated with a predicted percentage when the order was received. The online concierge system increases a price of orders associated with predicted percentages greater than the threshold from the target rate. The increased price of an order is determined from a price elasticity curve and the predicted percentage.

Abstract: Embodiments relate to determining an availability of a service option for delivery of an order placed with an online system. The online system receives an order placed with the online system. The online system accesses a computer model trained to predict a value of metric for an order placed with the online system. The online system applies the computer model to predict the value of the metric for the order. The online system determines which service option of a plurality of service options of the online system is available for delivery of the order, based at least in part on the predicted value of the metric and a threshold. The online system causes the device of the user to display an availability of the determined service option for delivery of the order.

Abstract: The present application discloses a display panel, a display module, and a display device. The display panel includes a first substrate and a second substrate disposed opposite to each other, and the first substrate includes a metal wiring located in a non-display area; wherein the first substrate includes a black shielding layer, and by providing the black shielding layer in the display panel, wherein the black shielding layer covers the metal wiring in an orthographic projection direction of the first substrate, appearance effect of the display panel is thereby improved.

Abstract: Provided is a recombinant KOD polymerase. A KOD polymerase mutant is a protein as follows: the protein is a protein having DNA polymerase activity that is obtained by modifying amino acid residues in at least one of the following 48 positions in the amino acid sequence of KOD DNA polymerase GH78: 267, 326, 347, 349, 353, 375, 378, 379, 380, 385, 451, 452, 453, 454, 457, 461, 465, 470, 474, 477, 478, 479, 480, 482, 484, 485, 486, 493, 496, 497, 514, 574, 584, 605, 610, 630, 665, 666, 667, 674, 676, 680, 682, 698, 707, 718, 723 and 729, without changing other amino acid sequences; and compared with KOD DNA polymerase GH78, with regard to catalysis, the recombinant DNA polymerase exhibits a faster reaction rate, better catalytic efficiency, better affinity and other advantages, thereby improving the reaction rate of DNA polymerase in sequencing and increasing the reaction read length.

Abstract: Exemplary systems and methods are disclosed for allocating resources in a breeding pipeline to multiple origins. One exemplary method includes accessing a data structure including data representative of multiple origins, in which the data includes, for each of the multiple origins, a trait performance expression or genotypic component information. The exemplary method further includes determining a resource allocation, which allocates n resources among the multiple origins based on a probability associated with the trait performance expressions and/or the genotypic components for the origins, and then allocating the n resources in the breeding pipeline for the multiple origins, based on the determined resource allocation.

Abstract: A routing processor implements a multi-stage prescriptive routing model engine based on harvest input data relating to the harvesting of crops at a plurality of locations by a plurality of combines and based on a harvest characteristic representing an attribute of the crops to be harvested by the combines. The multi-stage prescriptive routing model engine generates a combine routing program prescribing the movement of each combine between the locations and includes a demand stage configured to identify combine harvesting demand as a function of the harvest input data and the harvest characteristic and a scheduling stage configured to generate the combine routing program as a function of the harvesting demand.

Abstract: Disclosed are a corona-resistant N-grade insulation paper for a variable frequency motor and a preparation method thereof. The insulation paper has a sandwich structure, aramid nanofibers and mica nanosheets are taken as a sandwich material of the sandwich structure, aramid nanofibers and silicon carbide nanowires being taken as upper and lower surface layer materials, and three layers of materials are electrostatically sprayed and thermo-compressed to prepare the insulation paper. According to the present disclosure, by introducing mica sheets and the silicon carbide nanowires into the aramid nanofibers, the highly ordered arrangement inside the sandwich structure is realized through electrostatic spraying, which improves the temperature resistance and corona resistance of the insulation paper.

Abstract: An online concierge system receives an order from a user including items to obtain from a retailer for delivery to a location. A picker selects the order and obtains items from the retailer. The user selects a time interval during which items from the order are delivered to the location. To prevent the user from selecting a time interval for fulfillment the online concierge system prevents the user from selecting a time interval when a picker may be unable to obtain the items from the retailer before a closing time of the retailer. The online concierge system evaluates time intervals by subtracting a travel time for the picker travelling from the retailer to the location from a predicted fulfillment time for the order. This prevents the time for delivering items after being obtained from affecting whether a time interval may be selected.

Abstract: A composite insulating material based on dielectrophoretic force orientation and its preparation method are provided.

Abstract: A silicone rubber composite heat dissipation pad and a preparation method thereof are provided. The method includes: dispersing hydroxyl-functionalized boron nitride nanosheet powder into deionized water, pouring it into a specialized container, pre-freezing it using liquid nitrogen, and then freeze-drying it to obtain a boron nitride nanosheet skeleton arranged in a horizontal direction; uniformly dispersing thermochromic nanoparticles in acetone to obtain a dispersion, mixing the dispersion with liquid silicone rubber and stirring until acetone is completely evaporated, then adding a curing agent to obtain a liquid silicone rubber pre-cure solution; pouring the liquid silicone rubber pre-cure solution into a container containing the boron nitride nanosheet skeleton, so that the liquid silicone rubber pre-cure solution is fully immersed in an interior of the boron nitride nanosheet skeleton; and then curing is carried out by elevating the temperature to obtain the heat dissipation pad.

Abstract: A battery electrode plate includes an electrode plate body, and each of two surfaces of the electrode plate body is provided with an active material layer. The battery electrode plate further includes an identification layer. The identification layer is arranged on at least one surface, and the coatings on the two surfaces are different in shape or position.

Abstract: An online concierge system delivers items from retailers to customers. The online concierge predicts a range of times during which an order may be fulfilled for presentation to a user. The online concierge system uses a trained maximum time prediction model to determine a maximum time for order fulfillment based on an order. A trained minimum time prediction model determines a minimum time for order fulfillment from the order and the maximum time. The minimum time may account for one or more rules (e.g., a percentage of orders fulfilled before the minimum time, a desired rate of selection of a range including the minimum time). A range bounded by the maximum time and the minimum time is transmitted to a customer to enable the customer to select a time interval for order fulfillment.

Abstract: A novel neural modeling framework Neural Transient Field (NeTF) is provided for non-line-of-sight (NLOS) imaging. NeTF recovers the 5D transient function in both spatial location and direction, and the training data input is parametrized on the spherical wave-fronts. A Markov chain Monte Carlo (MCMC) algorithm is used to account for sparse and unbalanced sampling in NeTF.