Abstract: The present application provides a display panel and a display device. A light-emitting device layer includes an n-type charge generation layer and a p-type charge generation layer. The light-emitting device layer has a first operating voltage to operate at a preset current density, and has a second operating voltage after operating at the preset current density and a first preset temperature for a preset time. The absolute value of a difference value between the first operating voltage and the second operating voltage is a1, a1 is less than or equal to 1V. The first preset temperature is greater than or equal to 50° C.

Abstract: False data entities attempt to evade getting caught by changing their information repeatedly over time. Systems and methods are provided to detect false data entities. A computing system ingests a plurality of data files respectively from a plurality of external data sources using the network interface within a current specified time period. It consolidates a plurality of data entries of false data entities from the plurality of data files into a consolidated list for the current specified time period. It compares the consolidated list for the current specified time period with a previous consolidated list corresponding to a previous specified time period to identify one or more differences. It then displays, using a graphical user interface (GUI), the one or more differences in association with a given false entity.

Abstract: A multi-channel alkaline hydrogen production system is disclosed. Using liquid outlets of a hydrogen alkali treatment unit and an oxygen alkali treatment unit, a circulating alkaline liquid is outputted to an alkaline liquid circulating pump and a controllable channel, and then the circulating alkaline liquid is returned to the negative electrode of an electrolyzer; Thus, a controller can control the amount of produced hydrogen according to the measured current of the electrolyzer, then calculates a corresponding alkaline liquid circulation volume reference value according to the amount of produced hydrogen, and according to the alkaline liquid circulation volume reference value, adjusts the circulation amount of the alkaline liquid of the multi-channel alkaline hydrogen production system and changes the gas purity of the multi-channel alkaline hydrogen production system by controlling the working states of the controllable channels on the two ends of the alkaline liquid circulating pump.

Abstract: A system and method for 1) storing, in data stores, data associated with tenants in separated regions, each region corresponding to a tenant; 2) receiving a request from a first tenant to share data associated with the first tenant with other tenants; 3) storing, based on the request, access control data identifying data associated with the first tenant that is subject to sharing with the other tenants; 4) accessing model building data from the tenanted database system, the model building data defined at least in part by the access control data, wherein the model building data is associated with the first tenant and the other tenants; 5) creating a model based on the data associated with the first tenant and, if applicable, other data associated with the other tenants; and 6) providing access to the model to one or more other tenants.

Abstract: Provided is a method for aggregating data from real-time events (e.g., payment transactions). The method may include receiving event (e.g., transaction) data associated with a plurality of events (e.g., payment transactions). First aggregation of interest data associated with a type of aggregation of interest may be received. A first key associated with each event (e.g., transaction) may be determined based on a first portion of the event (e.g., transaction) data associated with each event (e.g., transaction) and the first aggregation of interest data. A first value based at least partially on a first plurality of the first keys associated with a first subset of the plurality of payment transactions may be communicated based on a first user request. A system and computer program product are also disclosed.

Abstract: Methods and compositions for generating novel proteins comprise a genetically encoded macrocyclic peptide fused to an immunoglobulin Fc region, referred to as “cyclopeptibodies.” Methods and compositions are provided for making cyclopeptide-Fc region fusion proteins from genetically encoded, ribosomally produced artificial polypeptides. These methods are based on the genetic fusion of an immunoglobulin Fc region to an artificial precursor polypeptide comprising a non-canonical amino acid residue carrying a thiol-reactive functional group; and a cysteine residue that is positioned either upstream or downstream of the non-canonical amino acid in the polypeptide sequence.

Abstract: The present disclosure relates to energy-saving methods and apparatuses. In one example method, a network device determines target symbols in a multimedia broadcast multicast service single frequency network MBSFN subframe of a first cell. When load of the first cell is lower than a preset threshold, the network device reduces transmit powers of the target symbols. When the load of the first cell is higher than the preset threshold, the network device increases the transmit powers of the target symbols. In this application, an overall transmit power of a cell is adjusted by simultaneously adjusting transmit powers of four types of symbols, and a UE does not need to be notified through an air interface message.

Abstract: Described are a system, method, and computer program product for secure edge computing of a machine learning model. The method includes transmitting, with a server, a first portion of a machine learning model to a computing device remote from the server. The first portion includes at least one first layer of the machine learning model configured to process a first input of data collected by the computing device and generate an output. The method also includes receiving, with the server from the computing device, encoded model data including the output. The method further includes decoding, with the server, the encoded model data to produce decoded model data, and generating, with the server, a classification based on the first input of data by executing a second portion of the machine learning model.

Abstract: Systems, methods, and computer program products that use unsupervised learning to learn relationships between operations of a machine learning model based on a model graph representation to group the operations into clusters and, given a set of clusters and labels for the clusters, use a reinforcement learning algorithm to generate a final device placement result for the machine learning model.

Abstract: A display panel and a display device are provided. An organic light-emitting layer includes a doped region and an undoped region, and the undoped region is located between the doped region and the hole blocking layer. When the display panel is in a low grayscale display state, an exciton concentration distribution curve of the organic light-emitting layer includes a first peak located in the doped region and a second peak located in the undoped region, and a peak value of the second peak is less than a peak value of the first peak.

Abstract: A system and method for 1) storing, in data stores, data associated with tenants in separated regions, each region corresponding to a tenant; 2) receiving a request from a first tenant to share data associated with the first tenant with other tenants; 3) storing, based on the request, access control data identifying data associated with the first tenant that is subject to sharing with the other tenants; 4) accessing model building data from the tenanted database system, the model building data defined at least in part by the access control data, wherein the model building data is associated with the first tenant and the other tenants; 5) creating a model based on the data associated with the first tenant and, if applicable, other data associated with the other tenants; and 6) providing access to the model to one or more other tenants.

Abstract: A plurality of wireless charging systems may be employed within a network at a venue or other physical area to precisely locate a battery-operated node of the network. The location of the node may then be used to manage a transaction between that node and another node within the network when the transaction is associated with that precise location.

Abstract: Embodiments of the present disclosure disclose display panels and display devices. The display panel includes a substrate, a pixel definition layer, a light emitting layer, and partitions. The pixel definition layer includes first grooves and second grooves arranged in a non-light emitting area. Each partition includes a first portion and a second portion connected to each other. The first portion corresponds to the second groove. A width of the second portion is greater than a width of the first portion. The second portion is spaced apart from a surface of the pixel definition layer away from the substrate.

Abstract: False data entities attempt to evade getting caught by changing their information repeatedly over time. Systems and methods are provided to detect false data entities. A computing system ingests a plurality of data files respectively from a plurality of external data sources using the network interface within a current specified time period. It consolidates a plurality of data entries of false data entities from the plurality of data files into a consolidated list for the current specified time period. It compares the consolidated list for the current specified time period with a previous consolidated list corresponding to a previous specified time period to identify one or more differences. It then updates a database, which comprises a current list of false data entities, with the one or more differences.

Abstract: A method for dynamically assigning an inference request is disclosed. A method for dynamically assigning an inference request may include determining at least one model to process an inference request on a plurality of computing platforms, the plurality of computing platforms including at least one Central Processing Unit (CPU) and at least one Graphics Processing Unit (GPU), obtaining, with at least one processor, profile information of the at least one model, the profile information including measured characteristics of the at least one model, dynamically determining a selected computing platform from between the at least one CPU and the at least one GPU for responding to the inference request based on an optimized objective associated with a status of the computing platform and the profile information, and routing, with at least one processor, the inference request to the selected computing platform. A system and computer program product are also disclosed.

Abstract: A supporter of lithium metal, a material of the supporter of lithium metal is at least one of copper, an alloy of the copper, nickel, or an alloy of the nickel, and a surface of the supporter of lithium metal comprises a lithiophilic surface.

Abstract: Embodiments of the present disclosure provide a display panel comprising a light-emitting element, in which the light-emitting element includes a first electrode layer, a first light-emitting layer, a first buffer layer, a first charge-generating layer, a second buffer layer, a second light-emitting layer, and a second electrode layer; in which the first charge-generating layer includes a first n-type charge-generating layer and a first p-type charge-generating layer, and both of the electron mobility of the first buffer layer and the electron mobility of the second buffer layer are less than the electron mobility of the first n-type charge-generating layer.

Abstract: Systems, methods, and computer program products are provided for dynamically processing model inference or training requests. A system may include at least one processor to receive a plurality of requests from a plurality of requesting systems, create a plurality of instantiations of at least one machine-learning model based on the plurality of requests and service data associated with each requesting system of the plurality of requesting systems, stream data associated with at least one request of the plurality of requests to each instantiation of the plurality of instantiations, adjust a rate limit for each instantiation of the plurality of instantiations based on the service data associated with at least one requesting system related to a respective instantiation, resulting in an adjusted rate limit, and process at least one request of the plurality of requests with an instantiation of the plurality of instantiations based on the adjusted rate limit.

Abstract: Provided are a method and system for interactively searching for a target object and a storage medium. The method includes: obtaining a first interactive instruction from a first terminal; determining a target object corresponding to the first interactive instruction; obtaining target information of the target object; where the target information includes at least one of: a current position of the target object, picture information of the current position, a historical trajectory of the target object, a navigation route, or any combination thereof; sending the target information to the first terminal such that the first terminal displays the target information.

Abstract: Embodiments of the present disclosure are directed to onboarding a model from a training platform to an inference platform and selecting parameters of the model to optimize performance of the model. For example, the onboarding of the model to the inference platform can be based on a series of interactions between a model onboarding systems at the training platform and at the inference platform. An optimization process can include a searching-based process to derive optimal settings for the model. The optimization process can simulate feature combinations of the model and identify an optimal combination of settings of the model for increased model performance.