Abstract: The present application relates to the technical field of fiber winding control, and provides a tension control method of a multi-bundle winding equipment combined driving system, which solves the problem that the tension fluctuates greatly and cannot be output constantly in the fiber winding process.

Abstract: Systems and methods for out-of-distribution detection of nodes in a graph includes collecting evidence to quantify predictive uncertainty of diverse labels of nodes in a graph of nodes and edges using positive evidence from labels of training nodes of a multi-label evidential graph neural network. Multi-label opinions are generated including belief and disbelief for the diverse labels. The opinions are combined into a joint belief by employing a comultiplication operation of binomial opinions. The joint belief is classified to detect out-of-distribution nodes of the graph. A corrective action is performed responsive to a detection of an out-of-distribution node. The systems and methods can employ evidential deep learning.

Abstract: The present disclosure provides a grouting and water-plugging device for a fractured rock in a mine coupling state and a test method, and relates to the technical field of rock mechanics testing. The device includes a pressurizer, a reservoir, a test box, and a grouting pump. The reservoir includes a temperature sensor and a pressing-water plate. The pressing-water plate is connected to the pressurizer through a pressurizing rod. A pressure measuring pipe and a drainage pipe are installed on an outer side of the reservoir. The reservoir is connected to a water pump through a water injection pipe. The test box includes a rock, a transverse force exerting plate, a longitudinal force exerting plate, a stress sensor and the temperature sensor. The longitudinal force exerting plate is provided with multiple water through holes. A sliding box door is hinged to a front wall of the test box. The pressure measuring pipe and the drainage pipe are installed on a rear wall of the test box.

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: 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: 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: 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.

Abstract: The present invention provides an efficient apparatus for extracting biologically active substances through a magnetic particle method, comprising a magnetic needle, a magnetic needle moving mechanism, a sleeve and a sleeve moving mechanism and a vibration mechanism, a bracket, a positioning mechanism; the vibration mechanism is capable of generating vibrations to enable the sleeve moving mechanism to make upward and downward vibrations; wherein the magnetic needle can vertically insert into and move out of the sleeve; the sleeve can vertically insert into and move out of a sample treatment area; and the vibration mechanism comprises a lever bar, a movable fulcrum and a rotary mechanism. The present invention further provides an instrument comprising the apparatus for extracting biologically active substances. The present invention further provides a method for extracting and purifying biologically active substances using the apparatus or the instrument for extracting biologically active substances.

Abstract: In a method for forwarding a packet, a physical forwarding unit receives a data packet, may find a first subnet route based on a destination IP address of the data packet, and forwards the data packet to a virtual forwarding unit via an output interface of the first subnet route. The virtual forwarding unit receives the data packet may find a first host route based on the destination IP address of the data packet, and forwards the data packet based on the first host route.