Abstract: Systems and methods are described for disambiguating user input based on a physical location of items in a vicinity of a user. The system determines that a query received from a user contains an ambiguity. In response, the system identifies several items in the physical vicinity of the user. Then, the system analyzes the identified plurality of items to determine whether the plurality of items forms a first ensemble of items or a second ensemble of items. If the plurality of items forms a first ensemble of items, the system performs a search using the search query and a first keyword related to the first ensemble of items. If the plurality of items forms a second ensemble of items, the system performs a search using the search query and a second keyword related to the second ensemble of items. The system then outputs results of the performed search.

Abstract: A data management system includes a storage device storing a data relating to a target as an original data, and at least one node storing a blockchain. The at least one node includes a processor and a memory. The memory stores a computer readable instruction. When executed by the processor, the instruction causes the processor, when storing the original data, to select a hash function from a hash function list, acquire a hash value of the original data as an original hash value, and store the original hash value and a hash function identification information on the blockchain.

Abstract: An augmentation and feature caching subsystem is described for training AI/ML models. In one particular aspect, a method is provided that includes receiving data comprising training examples, one or more augmentation configuration hyperparameters and one or more feature extraction configuration hyperparameters; generating a first key based on one of the training examples and the one or more augmentation configuration hyperparameters; searching a first key-value storage based on the first key; obtaining one or more augmentations based on the search of the first key-value storage; applying the obtained one or more augmentations to the training examples to result in augmented training examples; generating a second key based on one of the augmented training examples and the one or more feature extraction configuration hyperparameters; searching a second key-value storage based on the second key; obtaining one or more features based on the search of the second key-value storage.

Abstract: A distributed ledger system comprises participating nodes and a verification node selection device. The verification node selection device is configured to calculate a score for at least processing speed or reliability of a transaction for each of the participating nodes, and determine the verification nodes. Each of the selected verification nodes verifies the transaction to build a consensus.

Abstract: Provided are a computer-implemented method, a computing system and a non-transitory storage medium. In the method, available Wireless Local Area Networks (WLANs) accessible on a User Equipment (UE) are determined. The available WLANs on the UE are prioritized based on degree of wireless connectivity. The UE is connected to a first WLAN with the highest degree of wireless connectivity. A registration request is sent, over the first WLAN, to an Internet Protocol Multimedia Subsystem (IMS) for the UE. A status of the IMS registration for the UE is received from the IMS, where the status includes a successful registration status or an unsuccessful registration status. Upon receiving the successful registration status of the IMS registration, data packets are transmitted to the IMS.

Abstract: Novel techniques are described for data augmentation using a two-stage entity-aware augmentation to improve model robustness to entity value changes for intent prediction.

Abstract: Novel techniques are described for positive entity-aware augmentation using a two-stage augmentation to improve the stability of the model to entity value changes for intent prediction. In one particular aspect, a method is provided that includes accessing a first set of training data for an intent prediction model, the first set of training data comprising utterances and intent labels; applying one or more positive data augmentation techniques to the first set of training data, depending on the tuning requirements for hyper-parameters, to result in a second set of training data, where the positive data augmentation techniques comprise Entity-Aware (“EA”) technique and a two-stage augmentation technique; combining the first set of training data and the second set of training data to generate expanded training data; and training the intent prediction model using the expanded training data.

Abstract: Novel techniques are described for negative entity-aware augmentation using a two-stage augmentation to improve the stability of the model to entity value changes for intent prediction. In some embodiments, a method comprises accessing a first set of training data for an intent prediction model, the first set of training data comprising utterances and intent labels; applying one or more negative entity-aware data augmentation techniques to the first set of training data, depending on the tuning requirements for hyper-parameters, to result in a second set of training data, where the one or more negative entity-aware data augmentation techniques comprise Keyword Augmentation Technique (“KAT”) plus entity without context technique and KAT plus entity in random context as OOD technique; combining the first set of training data and the second set of training data to generate expanded training data; and training the intent prediction model using the expanded training data.

Abstract: The present disclosure provides a multifunctional hand controller for height-adjustable furniture, and belongs to the technical field of control equipment for electric furniture. The multifunctional hand controller includes a shell. The shell is fixed on the furniture. Switches for controlling the furniture are installed on the shell. The switches include a first switch and a second switch. The first switch is a rotary switch. The rotary switch rotates relative to the shell to generate a first control instruction for controlling the furniture.

Abstract: A data storage system includes a node configured to store a blockchain and a data storage server. The node is further configured to, upon receiving the data from a data source, separate the data into confidential data and public data, obtain a tamper proof of the confidential data, send the separated confidential data to the data storage server, and store the public data and the tamper proof on the blockchain. The data storage server is configured to store the confidential data upon receiving the confidential data from the node.

Abstract: An asset transfer recording system includes a node and a data storage server. The node includes a node processor programmed to generate a data processing rule according to a request by a transferor of an asset. The node processor is further programmed to store the data processing rule on the blockchain; generate a data processing command according to the data processing rule; and send the data processing command to the data storage server. The data storage server includes a server processor programmed to process the plurality of data items according to the data processing command and generate and send a processing result to the node processor. The node processor is further programmed to store the processing result on the blockchain.

Abstract: Disclosed are a medical device and a data management method therefor. The data management method includes: receiving an instruction for selecting a locking rule to determine a target locking rule, wherein the target locking rule is used for screening monitoring data so as to carry out locking; under the trigger of a first trigger condition, screening the monitoring data according to the target locking rule, and locking the screened monitoring data; and under the trigger of a second trigger condition, selectively deleting monitoring data that is not locked. An operator can selectively lock the monitoring data by selecting the locking rule, thereby avoiding the deletion of monitoring data needing to be retained, and facilitating the management of the monitoring data.

Abstract: A user equipment (UE), a method and a communication apparatus are provided. The UE includes a first communication circuit that receives a notification, a processor, and a memory unit that is operatively connected to the processor and includes instructions. The instructions, when being executed, cause the processor to execute a method. In the method, it is determined that the notification indicates that an incoming call was directed to the UE during a preset time period. It is identified that the UE did not receive the incoming call during the preset time period based on: an identification that the incoming call was not forwarded to another device; and an identification that, during the preset time period, the UE was not in a call handling mode in which the UE does not receive incoming call. A recovery option is performed based on identification that the UE did not receive the incoming call.

Abstract: Systems and methods are described for disambiguating user input based on a physical location of items in a vicinity of a user. The system determines that a query received from a user contains an ambiguity. In response, the system identifies several items in the physical vicinity of the user. Then, the system analyzes the identified plurality of items to determine whether the plurality of items forms a first ensemble of items or a second ensemble of items. If the plurality of items forms a first ensemble of items, the system performs a search using the search query and a first keyword related to the first ensemble of items. If the plurality of items forms a second ensemble of items, the system performs a search using the search query and a second keyword related to the second ensemble of items. The system then outputs results of the performed search.

Abstract: Techniques are provided for generating training data to facilitate fine-tuning embedding models. Training data including anchor utterances is obtained. Positive utterances and negative utterances are generated from the anchor utterances. Tuples including the anchor utterances, the positive utterances, and the negative utterances are formed. Embeddings for the tuples are generated and a pre-trained embedding model is fine-tuned based on the embeddings. The fine-tuned model can be deployed to a system.

Abstract: Systems and methods are provided for improving the overall experience for users conducting voice calls over 5G. For example, failing to establish a Transport Control Protocol (TCP) connection to a Proxy-Call Session Control Function (P-CSCF) server leads to user equipment (UE) not registering to an Internet Protocol Multimedia Subsystem (IMS), and impacts the 5G voice call. A voice call flow handling function on the UE performs several handling procedures to dynamically adjust the flow to address failed connections to the P-CSCF server. After initiating a 5G voice call, the UE can detect a failed connection to the P-CSCF server. In response, a secondary P-CSCF server from a plurality of available P-CSCF servers is selected. A connection to the selected secondary P-CSCF server is attempted. A successful connection to the selected secondary P-CSCF server supports the UE registering to the IMS to conduct the voice call over 5G New Radio (NR).

Abstract: Methods and a user equipment (UE) are provided. The method comprises determining whether a UE is performing a voice over internet Protocol (VoIP) call setup procedure. Upon a determination that the UE is performing a VoIP call setup, transmission of measurement report information to a network in which the UE Is operating is selectively enabled or disabled until the VoIP call setup procedure is complete. Selective enablement of the transmission of the measurement report information depends upon a further determination that a serving cell currently serving the UE fails to meet a stability threshold. Selective disablement of the transmission of the measurement report information occurs when redirection or handover of the UE pursuant to the transmission of the measurement report information is a possibility.

Abstract: A one-way self-locking actuator, including: a housing, a one-way self-locking device, and a motor shaft at least one end of which extends out of the housing; the one-way self-locking device includes a pin rod, and a friction cap which is disposed outside the housing and sleeved over the motor shaft; an arc-shaped groove extending helically about an axial direction of the motor shaft is provided on a side wall of the friction cap; the pin rod rotates synchronously with the motor shaft and is sliding-fitted with the arc-shaped groove; the motor shaft brings the pin rod to rotate such that the friction cap is driven by the pin rod to move axially; the friction cap moves axially to contact the housing, whereby friction self-locking or detachment is enabled.

Abstract: A type of Bruton's tyrosine kinase inhibitor, a preparation method therefor, and an application thereof in the field of medicine. The Bruton's tyrosine kinase inhibitor may be used for preventing and/or treating a disease related to Bruton's tyrosine kinase mediation, such as an autoimmune disease, cancer, or an inflammatory disease. Through experimental research, the provided compound has high selectivity with respect to a Bruton's tyrosine kinase target, and can exhibit a uniquely advantageous medicinal effect in an in vivo animal experiment.

Abstract: A fracturing fluid may comprise an aqueous based fluid and halloysite nanotubes, wherein the halloysite nanotubes comprise a cargo.