Abstract: A fluid control mechanism includes a chamber, a chamber wall, a piston provided within the chamber, and at least one fluid channel. A bottom portion of the chamber is configured to be in communication with the fluid channel. An opening connecting the fluid channel and the chamber is arranged at the bottom portion of the chamber. A piston mechanism has a chamber and a chamber wall, and a piston and a piston motion control member provided within the chamber. The piston motion control member is provided with external threads forming a screw thread pair with internal threads on the chamber wall, and is configured to rotate along the threads to move within the chamber for driving the piston to move in the chamber. The piston mechanism and the fluid control device can accurately control liquid in a micro or small fluid channel system.

Abstract: A communication method, and a communication apparatus are provided. A first network apparatus forwards traffic based on a first forwarding entry in response to a determination that the first forwarding entry for forwarding traffic is not aged. The first network apparatus sends a first packet, in response to a determination that the first network apparatus is a network apparatus performing traffic switchover, to a third network apparatus so that the third network apparatus is to regenerate a forwarding path to reach a target network apparatus through the second network apparatus. The third network apparatus is an apparatus accessed by both the first network apparatus and the second network apparatus, and a path from the third network apparatus to the first network apparatus and a path from the third network apparatus to the second network apparatus are equal-cost paths.

Abstract: A chip device for nucleic acid detection in a sample, includes a substrate and piston-type containers. The piston-type containers are communicated with each other by means of microfluidic channels; the chip device for nucleic acid detection is further provided with piston valves each located between containers for controlling the fluid communication between the containers communicated with each other; the chip device for nucleic acid detection comprises: a sample receiving module; a sample lysis module; a nucleic acid extraction module, optionally, the nucleic acid extraction module comprising a nucleic acid binding unit, a nucleic acid cleaning unit and a nucleic acid elution unit; and a nucleic acid amplification module. The nucleic acid amplification module comprises multiple amplification area units and an optional pre-amplification area unit.

Abstract: A method for manufacturing a chip for analyzing nucleic acid information of a biological sample. The chip is suitable for analyzing spatial transcriptomic information of a biological tissue sample. Also provided are the chip for analyzing the nucleic acid information of the biological sample and a method for using the chip to analyze the spatial transcriptomic information of the biological tissue sample. Nucleic acid expression information in cells of the tissue sample can be effectively obtained, and comprises spatial omics information.

Abstract: A fluid control mechanism includes a chamber, a chamber wall, a piston provided within the chamber, and at least one fluid channel. A bottom portion of the chamber is configured to be in communication with the fluid channel. An opening connecting the fluid channel and the chamber is arranged at the bottom portion of the chamber. A piston mechanism has a chamber and a chamber wall, and a piston and a piston motion control member provided within the chamber. The piston motion control member is provided with external threads forming a screw thread pair with internal threads on the chamber wall, and is configured to rotate along the threads to move within the chamber for driving the piston to move in the chamber. The piston mechanism and the fluid control device can accurately control liquid in a micro or small fluid channel system.

Abstract: Techniques for a flexible data security and machine learning system for merging third-party data are provided. In one technique, the system receives a data set from a third-party entity and receives selection data that indicates that the third-party entity selected a set of data security policies that includes an encryption option and a data mixing option from among multiple data mixing options. In response to receiving the selection data, the system stores data that associates the set of data security policies with the data set, encrypts the data set according to the encryption option, and persistently stores the encrypted data set. Later, the system decrypts the encrypted data set in volatile memory, generates, based on the data mixing option, training data based on the decrypted version of the data set, trains a machine-learned model based on the training data, and stores the machine-learned model in association with the data set.

Abstract: Computer-implemented techniques for enhanced tagging of natural language queries that are initially segmented and tagged by a named entity recognition system. By doing so, enhanced tagging of a natural language query that represents a deeper understanding of the query is provided. The enhanced tagging improves the operation of search engines that use the enhanced tags by enabling the search engine to identify and return more relevant search results in answers to natural language queries.

Abstract: Machine-learned model scoring techniques for reducing model invocations are provided. In one technique, first values for non-pair-specific interaction features that are associated with a first entity are identified. Second values for pair-specific interaction features that are associated with (a) the first entity and (b) a second entity that is different than the first entity are identified. A machine-learned model that has been trained based on the non-pair-specific interaction features and the pair-specific interaction features generates a first score based on the first values. The machine-learned model also generates a second score based on the first values and the second values. A final score for the first entity-second entity pair is computed based on the first score and the second score. Based on the final score, data about the first entity is transmitted over a computer network to a computing device associated with the second entity.

Abstract: Techniques for a flexible data security and machine learning system for merging third-party data are provided. In one technique, the system receives a data set from a third-party entity and receives selection data that indicates that the third-party entity selected a set of data security policies that includes an encryption option and a data mixing option from among multiple data mixing options. In response to receiving the selection data, the system stores data that associates the set of data security policies with the data set, encrypts the data set according to the encryption option, and persistently stores the encrypted data set. Later, the system decrypts the encrypted data set in volatile memory, generates, based on the data mixing option, training data based on the decrypted version of the data set, trains a machine-learned model based on the training data, and stores the machine-learned model in association with the data set.

Abstract: Described herein is a perforating assembly and method of use. In one embodiment, the perforating assembly comprising an offset loading tube mounted within a gun carrier. A plurality of shaped charges are mounted within the loading tube and the loading tube is mounted within the gun carrier on one or more swivel mechanisms that enable the loading tube to rotate within the gun carrier.

Abstract: The disclosed embodiments provide a system for performing sequence modeling for searches. During operation, the system obtains a sequence of jobs associated with activity by a member of an online system. Next, the system applies a word embedding model of a set of job histories to attributes of individual jobs in the sequence of jobs to produce embeddings for the individual jobs. The system then generates a set of power means from the embeddings. Finally, the system outputs the set of power means as an encoded representation of the sequence of jobs, wherein the set of power means is used in generating job recommendations related to the member.

Abstract: Entity resolution techniques for matching entity records from different data sources are provided. In one technique, an entity record from a source database is identified along with multiple data items included therein. Each data item corresponds to an attribute of multiple source attributes. For one of the data items that corresponds to a first source attribute, multiple target attributes are identified. A first query is generated that includes the data items and associates the data item with each of the multiple target attributes. A second query that is different than the first query is also generated. Two searches are performed of a target database: one based on the first query and the other based on the second query. A scoring model generates multiple scores, one for each search result. It is determined whether the entity record matches an entity record in the target database based on the set of scores.

Abstract: The present disclosure provides a compound of formula I or a pharmaceutically acceptable salt, a solvate, or a prodrug thereof, wherein M is a monovalent alkali metal. The present disclosure also provides a method for preparing the compound or its pharmaceutically acceptable salt, solvate, or prodrug, and further provides a pharmaceutical composition containing the compound and its use in the preparation of a medicine, which can be used for the treatment of CCR4-mediated diseases.

Abstract: Computer-implemented techniques for enhanced tagging of natural language queries that are initially segmented and tagged by a named entity recognition system. By doing so, enhanced tagging of a natural language query that represents a deeper understanding of the query is provided. The enhanced tagging improves the operation of search engines that use the enhanced tags by enabling the search engine to identify and return more relevant search results in answers to natural language queries.

Abstract: A crowdsource pipeline manager that is capable of using a crowdsource platform to automatically generate a large amount of high-quality training examples in a timely manner for training a machine learning model for a natural language processing task. Instead of merely creating a collection job with the crowdsource platform, the crowdsource pipeline manager creates a peer-reviewed collection job. The peer-reviewed collection job is created with the crowdsource platform such that execution of a corresponding judging job by the crowdsource platform is automatically triggered after the crowdsource platform executes the peer-reviewed collection job.

Abstract: Entity resolution techniques for matching entity records from different data sources are provided. In one technique, an entity record from a source database is identified along with multiple data items included therein. Each data item corresponds to an attribute of multiple source attributes. For one of the data items that corresponds to a first source attribute, multiple target attributes are identified. A first query is generated that includes the data items and associates the data item with each of the multiple target attributes. A second query that is different than the first query is also generated. Two searches are performed of a target database: one based on the first query and the other based on the second query. A scoring model generates multiple scores, one for each search result. It is determined whether the entity record matches an entity record in the target database based on the set of scores.

Abstract: The disclosed embodiments provide a system for performing sequence modeling for searches. During operation, the system obtains a sequence of jobs associated with activity by a member of an online system. Next, the system applies a word embedding model of a set of job histories to attributes of individual jobs in the sequence of jobs to produce embeddings for the individual jobs. The system then generates a set of power means from the embeddings. Finally, the system outputs the set of power means as an encoded representation of the sequence of jobs, wherein the set of power means is used in generating job recommendations related to the member.

Abstract: In an example embodiment, career path information is extracted from user data, the career path information including two or more career path features for each job held by the user, as identified in the career path information. The career path information is concatenated into a single concatenation. The single concatenation is fed into an embedding model trained using a first machine learning algorithm to output one or more embeddings in an n-dimensional space for the single concatenation. These embeddings are then used as input to a model trained by a second machine learning algorithm.

Abstract: The present disclosure provides a perforating assembly and method of use. In one embodiment, the perforating assembly comprising an offset loading tube mounted within a gun carrier. A plurality of shaped charges are mounted within the loading tube and the loading tube is mounted within the gun carrier on one or more swivel mechanisms that enable the loading tube to rotate within the gun carrier.