Abstract: A pull-down lock, may include a top cover, wherein the bottom end of the top cover is fixedly connected with the pull rod, and the bottom end of the pull rod is fixedly connected with the lock head; besides, the lock bolt component for limiting and fixing the lock head is arranged in the movable part upper cover, and the movable part base is slidably inserted into the bottom end of the movable part upper cover; the movable part base is internally provided with the pull-down component which is adapted to and penetrates through the lock bolt component. When the movable part base is pulled to move downwards, the lock bolt component could be pushed to move under the cooperation of the pull-down component, so that the limiting and fixation of the lock head is released.

Abstract: A computer system receives a set of user-defined rules are that useable by a computer service to automate a decision flow. The computer system generates a graph model from the user-defined rules. From the graph model, the computer system determines an input dependency model that is indicative of a set of inputs referred to in the graph model. The input dependency model is useable by an orchestrator to coordinate accesses to the one or more data stores in which the set of inputs is stored. The computer system receives the set of inputs and determines one or more automated decisions by applying the set of inputs to the graph model.

Abstract: The disclosure provides a power system balance optimization method based on balancing units, including: collecting power generation and consumption information of market subjects in a balancing unit, calculating a output situation of a power generation side when the system operation cost is minimum, and judging whether to carry out a power exchange between units; the balancing unit optimizes and selects an operation strategy according to market environment, and then optimizes and selects the operation strategy according to the market environment; the disclosure carries out hierarchical management through balancing units, and the system balance costs of power generation, regulation, power exchange and fully considers balance cost of power generation, regulation, power exchange and other systems of multiple entities on the power generation side, transmission side and power consumption side.

Abstract: A data processing method, apparatus, device, and storage medium are provided. The method includes acquiring a data reading task; determining the target feature data from a data file stored in a target storage system based on the data reading task and metadata corresponding to the target storage system; reading the target feature data from the data file based on operation semantic information corresponding to the target feature data, and determining the read target feature data as the first target feature data; and merging the first target feature data to acquire target merged feature data in the case that the size of data volume of the read first target feature data meets a preset condition, and repeating the process of reading and merging the first target feature data until a completion of reading of the target feature data in the data file.

Abstract: Embodiments of the present disclosure provide a data storage method and apparatus, an electronic device, and a storage medium, and the data storage method includes: acquiring, in response to a file storage request for a first target data file, the first target data file to be stored in a target storage system, in which the table metadata is used to indicate storage branch information corresponding to the target storage system, the storage branch information includes a trunk branch and at least one experimental branch; determining a first target experimental branch corresponding to the file storage request based on the table metadata, and newly creating a first target snapshot corresponding to the first target experimental branch; and storing, based on the first target snapshot, the first target data file to a corresponding storage location in the target storage system.

Abstract: The present disclosure provides a data storage method, an apparatus, an electronic device and a storage medium. The data storage method includes: acquiring at least one piece of feature data to be stored in a target storage system, wherein each piece of the feature data has a corresponding primary key respectively; for each piece of the feature data, determining, from a plurality of first time partitions corresponding to the target storage system, a target time partition to which a data occurrence time of the feature data belongs; and allocating, based on a total number of buckets corresponding to the target time partition and a primary key corresponding to the feature data, a corresponding bucket to the feature data, and storing the feature data in a storage space that is associated with the corresponding bucket of the feature data.

Abstract: The present disclosure provides a blockchain-based green power certification method, apparatus, and system, to pre-process obtained basic data to obtain proof-of-existence data, certify the proof-of-existence data from a production side and a consumption side by using a certification chain and a token chain respectively, and obtain a green power attribute certificate and a green power consumption label if the certification is passed; generate a unique digital identifier for the green power attribute certificate and the green power consumption label separately based on a non-fungible token (NFT), which realizes non-interchangeability, indivisibility, and other characteristics of the certificate and the identifier; and supervise and verify a certification process by using a chain of custody, and generate a corresponding unique blockchain identifier for the certification chain, the token chain, and the chain of custody separately through multi-chain interaction, so as to realize data interaction between blockcha

Abstract: Techniques are disclosed relating to using machine learning techniques to predict storage configurations for historical data. In some embodiments, a computer system stores representations of historical data according to a current set of storage parameters. The representations may include snapshots of historical data in a data repository at different points in time. The computer system may receive queries for historical data specifying points in time from which to retrieve the historical data. In some embodiments, the computer system responds to the queries using the stored representations and determines performance metrics for the responses. In some embodiments, the computer system trains a machine learning model using the performance metrics. Based on output of the trained model, the computer system updates the current set of storage parameters.

Abstract: A method is provided of producing an optical filter. The method comprises depositing a first mirror layer onto a substrate; depositing an insulating layer on the first mirror; exposing at least some of a plurality of portions of a surface of the insulating layer to a dose of energy; developing the insulating layer in order to remove a volume from the at least some of the plurality of portions of the insulating layer, wherein the volume of the insulating layer removed from each portion is related to the dose of energy exposed to each portion, and wherein a remaining thickness after the removal of the volume from each portion of the insulating layer is related to the dose of energy exposed to each portion. The method further comprising depositing a second mirror layer on the remaining thickness of each of the plurality of portions of the insulating layer.

Abstract: An electrical connector assembly includes a housing, a connector rotating unit and a second magnetic attraction element. The connector rotating unit is rotatable relative to the housing under action of an external force. The connector rotating unit includes a rotating body, a first magnetic attraction element fixed to the rotating body, and an electrical connector fixedly connected to the rotating body. The second magnetic attraction element is disposed in the housing. The second magnetic attraction element is configured to attract the first magnetic attraction element to rotate the connector rotating unit automatically back to an original position after the connector rotating unit is rotated and the external force is released.

Abstract: A circuit board connection structure includes an adapter circuit board and an interface circuit board. The upper board face of the adapter circuit board is provided with a connection via, and an arcuate adapter pad coaxial with the connection via. A conductive pin is secured to the arcuate adapter pad. The conductive pin is provided with a protrusion. The lower board face of the interface circuit board is provided with a rotation shaft, and an arcuate interface pad coaxial with the rotation shaft. The rotation shaft is inserted into the connection via. The interface circuit board is configured to swing relative to the adapter circuit board about the axis of the rotation shaft. The protrusion is pressed against the arcuate interface pad and is configured to slide relative to the arcuate interface pad.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may communicate via a first component carrier (CC) during a first time period. The UE may communicate via a second CC during a second time period. The UE may receive a first indication to deactivate the second CC during a third time period that at least partially overlaps with the first time period. The UE may receive a second indication to activate the second CC for communication during a fourth time period. The UE may communicate via the second component carrier during the fourth time period using an initial frequency error correction at a beginning of the fourth time period, the initial frequency error correction based at least in part on a frequency error of the first CC during the third time period. Numerous other aspects are described.

Abstract: The present invention provides an electricity-driven, micro-electroporation based drug delivery system, in particular, an electrically conductive array of microprotrusions containing intended substances or molecules to be delivered, which is to the benefit of a recipient receiving vaccination transcutaneously in the absence of any assistive mechanical or actuation means as in conventional injection methods, so as to lower safety risks, improve immunization efficiency, and also induce immune response of the recipient more effectively at a relatively lower dose of vaccines.

Abstract: Techniques are disclosed relating to data validation using encode values. In various embodiments, a data monitoring system may retrieve a plurality of datasets from a live database at a non-production datacenter. The data monitoring system may perform encoding operations on one or more of the plurality of datasets to generate encode values that correspond to the plurality of datasets. The data monitoring system may then retrieve an updated dataset, for example from an experimental database at the non-production datacenter, and perform validation operations to validate one or more characteristics of the updated dataset. For example, in some embodiments, the data monitoring system may retrieve the encode values corresponding to the plurality of datasets and use the encode values to validate the updated dataset. The data monitoring system may then generate a validation output indicative of a result of the validation operations.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for generating highly scalable temporal graph databases. In one embodiment, a novel architecture is presented that enables the identification of mutation or changes in graphs. For the identification a combination of graph-based modeling and journal entry is used. Events occurring are consumed and changes are ingested, transformed for use by a graph simulation system. The changes are journaled using a vertex centric temporal journaling schema.

Abstract: Techniques are disclosed relating to detecting matching datasets using encode values. In various embodiments, a data monitoring system may perform encoding operations on a first dataset to generate a first encode value that corresponds to a particular one of one or more fields included in the first dataset. The data monitoring system may then determine whether the first dataset matches a previously analyzed dataset. For example, in some embodiments, data monitoring system may compare the first encode value to a previous encode value that corresponds to a second field of the previously analyzed dataset. Based on this comparison, the data monitoring system may generate an output value that is indicative of a similarity between the first encode value and the previous encode value. The data monitoring system may then determine whether the first dataset matches the previously analyzed dataset based on this output value.

Abstract: Techniques are disclosed relating to data versioning in a multi-datacenter topology. In various embodiments, a computer system at a first datacenter may execute a query at a first point in time against a particular dataset that is maintained at the first datacenter. The particular dataset includes a first data record with a corresponding version number, where the version number is associated with a value of the first data record at the first point in time. In response to the first query, the computer system may receive a first results dataset that includes the first data record with its corresponding version number. The computer system may then store information indicative of the results dataset that is usable to retrieve, at a subsequent time from a historical version of the particular dataset at a second datacenter, the first data record with the same value as at the first point in time.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for an end-to-end solution to auto-identifying features. In one embodiment, a novel architecture is presented that enables the identification of optimal features and feature processes for use by a machine learning model. The novel architecture introduces a feature orchestrator for managing, routing, and retrieving the data and features associated with analytical job request. The novel architecture also introduces a feature store designed to identify, rank, and store the features and data used in the analysis. To aid in identifying the optimal features and feature processes, a training system may also be included in the solution which can perform some of the training and scoring of the features.

Abstract: Techniques are disclosed relating to determining whether document objects included in an image correspond to known document types. In some embodiments, a computing system maintains information specifying a set of known document types. In some embodiments, the computing system receives an image that includes objects. In some embodiments, the computing system analyzes, using a first neural network, the image to identify a document object and location information specifying a location of the document object within the image. In some embodiments, the computing system determines, using a second neural network, whether the document object within the image corresponds to a document type specified in the set of known document types, where the determining is performed based on the location information of the document object. In some embodiments, disclosed techniques may assist in automatically extracting information from documents, which in turn may advantageously decrease processing time for onboarding new customers.