Abstract: Disclosed in the present disclosure is a double-deck multi-span bridge construction method. According to the double-deck bridge construction method of the present disclosure, construction is carried out by using a method of disassembling a support jig frame in a graded and span-separated mode, an upper chord jig frame and a lower chord jig frame can be used in a recycle manner, and construction costs are reduced. In addition, a construction period of building the support jig frame is shortened, and other construction operations can be synchronously carried out on a span in which the jig frame is disassembled, for example, fire retardant coating construction can be carried out on a mounted bridge deck after the jig frame is disassembled, and the construction period of a double-deck multi-span bridge is effectively shortened.

Abstract: A method is disclosed, involving converting at least one structured text document stored in a database into one or more vectors, training a machine learning model to associate the at least one vector with the editors for that structured text document, training a machine learning model to associate the at least one vector with the editors for that structured text document, receiving a second structured text document and converting said second structured text document into one or more vectors, then processing the one or more vectors of the unpublished structured text documents through the trained machine learning model to identify appropriate editor teams, before finally sending the unpublished structured text documents to a computer device associated with an editor.

Abstract: A method is disclosed, involving converting each structured text document stored in a database into one or more vectors, training a machine learning model to associate structured text document vectors with the journals said structured text document were published in; receiving an additional structured text document, converting said additional structured text document into one or more vectors, and processing the additional structured text document through the trained machine learning model to identify an appropriate journal for publication. Systems and computer-readable media implementing the method are also disclosed.

Abstract: A method is disclosed, involving converting each structured text document stored in a database into a vector, building a search index using the one or more vectors of the structured text documents stored in the database, then receiving a new structured text document, converting the structured text document into a vector, then searching the search index using the one or more vectors of the new structured text document, and generating a list of N structured text document from the database similar to the new structured text document based on said search

Abstract: A method is disclosed, involving converting each structured text document stored in a database into one or more vectors, using the vectors of the structured text documents stored in a database to create a similarity search index, then for each structured text document from the database, searching the search index using the one or more vectors of the structured text document in order to generate a list of N other structured text document from the database similar to the structured text document based on said search; an storing each list of N other structured text document from the database similar to the structured text document in a table.

Abstract: Systems and methods to deploy a cloud platform are provided. In exemplary embodiments, virtual servers are set up in a physical server to form a resource pool that includes resources. User account information and an online request of a user are received from a remote computing device of the user via a network. Based on the user account information and the online request of the user, custom resources are selected from the resource pool, and allocated for the user. Cloud platform deployment related information includes custom resource information, cloud platform deployment environment information, and cloud platform deployment instructions for example. The cloud platform deployment related information is visually presented, using one or more processors, on a GUI of the computing device of the user to facilitate the user to remotely deploy the cloud platform via the network.

Abstract: In general, this disclosure is directed to techniques for adjusting a mapping between a logical block address (LBA) space and a physical block address (PBA) space based on offset data associated with a plurality of access requests. According to one aspect, a method includes defining a translation map between a plurality of LBAs and a plurality of PBAs for a data storage device. Each PBA is associated with a sequence of storage slots. The translation map maps each of the LBAs to a PBA and to an index of a storage slot associated with the PBA. The method further includes obtaining offset data for a plurality of access requests associated with the plurality of LBAs. The offset data includes information relating to the indices to which starting LBAs of the access requests are mapped. The method further includes adjusting the translation map based on the offset data.

Abstract: In general, this disclosure is directed to techniques for adjusting a mapping between a logical block address (LBA) space and a physical block address (PBA) space based on offset data associated with a plurality of access requests. According to one aspect, a method includes defining a translation map between a plurality of LBAs and a plurality of PBAs for a data storage device. Each PBA is associated with a sequence of storage slots. The translation map maps each of the LBAs to a PBA and to an index of a storage slot associated with the PBA. The method further includes obtaining offset data for a plurality of access requests associated with the plurality of LBAs. The offset data includes information relating to the indices to which starting LBAs of the access requests are mapped. The method further includes adjusting the translation map based on the offset data.