Abstract: A leaflet positioning and fixing clip and a narrow-environment orientation system thereof are provided. The clip includes a fixing element, a lower gripping arm assembly sleeved outside the fixing element, an upper gripping arm assembly sleeved outside the lower gripping arm assembly, a pull rope controlling the upper gripping arm assembly to move, and an occlusive film attached below the lower gripping arm assembly. The upper gripping arm assembly includes an upper central fixing plate and upper gripping arms radially distributed around the upper central fixing plate. The lower gripping arm assembly includes a lower central fixing plate and lower gripping arms. There are at least two upper gripping arms mated with at least two lower gripping arms to form grippers for gripping a tricuspid valve. The occlusive film is stably positioned in a center of the tricuspid valve through the grippers.

Abstract: Methods, systems, and devices may assist in reducing signaling load that occur based on paging and handover. Methods, systems, and devices may be based on UE states, a radio access network registration area (RRA) or tracking/paging area with different architectural approaches (e.g., hierarchical or distributed), dynamic RRA management, radio access network based paging, and radio access network based user equipment (UE) mobility management.

Abstract: A system for interfacing with a meta-database representing data from a plurality of source databases. A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the source data from a source interface, compresses the data, and synchronizes the data with the meta-data using a meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines variables indicative of the meta-data, generates variable probability distributions, produces variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface.

Abstract: A system for training a model from a subset of data representing decentrally stored source databases. A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the training data from a source interface, compresses the training data, and synchronizes the training data with the meta-data using a meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines training variables indicative of the meta-data, generates variable probability distributions, produces training variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface. The key interface allows for searching the meta-database for training variables, variable probability distributions, and/or variable associations.

Abstract: The present invention is a glass ceramic including a crystal and a residual glass, in which the residual glass has a Young's modulus parameter ER of 75 or more, the Young's modulus parameter ER being calculated based on the following formula: ER=62.2×[SiO2]+134.9×[Al2O3]+121.7×[B2O3]+33.0×[P2O5]+72.6×[MgO]+121.5×[CaO]+43.7×[SrO]+38.6×[BaO]+84.0×[Li2O]+26.2×[Na2O]+17.8×[K2O]+156.8×[ZrO2]+154.3×[TiO2]+74.7×[La2O3]+80.3×[Y2O3]+54.3×[ZnO].

Abstract: A system for maintaining a meta-database including meta-data representing decentralized data from source databases, which cause inefficient selection of modeling data and/or variables. Each of source and meta-data interfaces communicate with the respective database(s). A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the source data from the source interface, compresses the data, and synchronizes the data with the meta-data using the meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines variables indicative of the meta-data, generates variable probability distributions, produces variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface.

Abstract: Multi-RAT UEs currently have 2 independent paths to authenticate with HSS (e.g., via the MME or the 3GPP AAA Server causing repeated authentication messages to HSS). The use of one unified authentication path between the UE and HSS for Small Cell and Wi-Fi authentication is described. First, a new 3GPP EPC-TWAN interworking architecture has the MME manage all the authentication requests from multi-RAT UEs. Second, new unified authentication procedures are added, which allow the ISWN-based multi-RAT UE to be authenticated directly with the HSS, irrespective of its current access network (TWAN or HeNB). Third, new fast re-authentication procedures for Inter-RAT handover scenarios are done. Finally, the needed extensions to the various standard protocol messages to execute the authentication procedures are described.

Abstract: The invention belongs to the field of cosmetic biotechnology, and specifically relates to an Enterobacter that degrades hyaluronic acid and a cultivation method and application thereof. The Enterobacter sp. CGJ001 of the present invention was deposited in the China General Microbiological Culture Collection Center on Oct. 10, 2019, and the preservation number is CGMCC NO. 18661. The Enterobacter strain can efficiently produce hyaluronidase, and can be used in the process of preparing low molecular hyaluronic acid and oligomeric hyaluronic acid from high molecular hyaluronic acid. The enzyme has high specificity towards hyaluronic acid, excellent thermal stability and pH stability, and is suitable for large-scale industrial application. Thus, it can replace the traditional hyaluronidase extracted from expensive animal tissues. There should be broad application prospects in the fields of medicine and cosmetics.

Abstract: A pipe fitting having a first body and a second body that together at least partially define a fluid flow passage. The first body defines a first portion of the fluid flow passage that extends from a first end of the fluid flow passage to a first internal opening. The second body defines a second portion of the fluid flow passage that extends from a second internal opening to a second end of the fluid flow passage. The first body has a first interface surface that surrounds the first internal opening, the first interface surface having a plurality of anti-rotation grooves. The second body has a second interface surface that surrounds the second internal opening and engages with the first interface surface. The first internal opening is in fluid communication with the second internal opening. The second interface surface has a plurality of anti-rotation fingers that are each received by and engage with a corresponding one of the anti-rotation grooves.

Abstract: The disclosure relates to an object identification method and device as well as a non-transitory computer-readable storage medium. The object identification method includes: acquiring a first object image, and generating a first identification result group according to the first object image, wherein the first identification result group includes one or more first identification results arranged in order of confidence from high to low; acquiring a second object image, and generating a second identification result group based on the second object image, wherein the second identification result group includes one or more second identification results arranged in order of confidence from high to low; and determining whether the first object image and the second object image correspond to the same object to be identified according to the first identification result group and the second identification result group.

Abstract: In a preferred embodiment, there is provided an electrically conductive solvent cement for coupling thermoplastic components, the cement comprising a thermoplastic resin, a solvent for dissolving the thermoplastic resin, and an electrically conductive material.

Abstract: A nanofiber actuator comprises a composite structure and a vanadium dioxide layer. The composite structure comprises a carbon nanotube wire and an aluminum oxide layer. The aluminum oxide layer is coated on a surface of the carbon nanotube wire, and the aluminum oxide layer and the carbon nanotube wire are located coaxially with each other. The vanadium dioxide layer is coated on a surface of the composite structure, and the vanadium dioxide layer and the composite structure are located non-coaxially with each other.

Abstract: Disclosed are systems and methods that automatically classify, filter, and reduce large volumes of feedback data as a function of time using artificial intelligence technology. The aggregated feedback data is reduced by representing the feedback data as sets of descriptors corresponding to one or more time periods that are displayed on a graphical user interface. Feedback data packets are parsed by labeling the feedback data packets with a time period identifier. The feedback data packets are processed utilizing neural network technology to classify the feedback data according to one or more subject identifiers that are each associated with a subject vector. A descriptor analysis is used to process the subject vectors and the feedback data packets to generate descriptor sets comprising one or more descriptors as well as weighting data for each descriptor.

Abstract: Disclosed are systems and methods that automatically classify, filter, and reduce large volumes of feedback data as a function of time using artificial intelligence technology. The aggregated feedback data is reduced by representing the feedback data as sets of descriptors corresponding to one or more time periods that are displayed on a graphical user interface. Feedback data packets are parsed by labeling the feedback data packets with a time period identifier. The feedback data packets are processed utilizing neural network technology to classify the feedback data according to one or more subject identifiers that are each associated with a subject vector. A descriptor analysis is used to process the subject vectors and the feedback data packets to generate descriptor sets comprising one or more descriptors as well as weighting data for each descriptor.

Abstract: Switching between Orthogonal Multiple Access (OMA) and Non-Orthogonal Multiple Access (NOMA) modes of a user equipment (UE) can be determined and indicated by a gNB to a UE at an RRC connected state using one or more of the following schemes: at an RRC (Radio Resource Control) layer with an RRC configuration message, at a MAC (Medium Access Control) layer with MAC CE (MAC control element) signaling, at a PHY (Physical) layer with DCI (Downlink Control Information) signaling, jointly with RRC configuration and DCI signaling, and/or jointly with RRC configuration and MAC CE signaling. The OMA or NOMA mode that the UE operates after the transition may be requested by the UE, indicated by the gNB, and/or may be based on one or more rules for OMA-NOMA switching.

Abstract: Disclosed are systems and methods that automatically classify, filter, and reduce large volumes of feedback data as a function of time using artificial intelligence technology. The aggregated feedback data is reduced by representing the feedback data as sets of descriptors corresponding to one or more time periods that are displayed on a graphical user interface. Feedback data packets are parsed by labeling the feedback data packets with a time period identifier. The feedback data packets are processed utilizing neural network technology to classify the feedback data according to one or more subject identifiers that are each associated with a subject vector. A descriptor analysis is used to process the subject vectors and the feedback data packets to generate descriptor sets comprising one or more descriptors as well as weighting data for each descriptor.

Abstract: A conveying system, comprising: a conveying carrier (3) that is provided with a first connection structure (31); a rolling bed (1) that comprises a rolling bed base (11) and a plurality of rolling components (12), wherein the rolling components (12) are connected to the rolling bed base (11); a driving mechanism comprising a second connection structure (26) and a driving assembly, wherein the driving assembly can drive the second connection structure (26) to reciprocate between a first position and a second position along a conveying direction, the second connection structure (26) at the first position is connected to the first connection structure (31), and the second connection structure (26) at the second position is separated from the first connection structure (31); and a positioning mechanism (4) comprising an X-direction positioning assembly, a Y-direction positioning assembly, and a Z-direction positioning assembly, wherein the Z-direction positioning assembly lifts the conveying carrier (3), so that

Abstract: A method for reviewing sequencing data for identifying microorganisms in a sample is provided. A request to display an analysis of a result set obtained from sequencing nucleic acids from the sample is received. The result set includes sequencing statistics, nucleotide sequences mapped against microorganism reference sequences, and mapping statistics for the mapping of nucleotide sequences to each respective reference sequence. A first customizable diagnostic template is applied to the result set. The customizable diagnostic template specifies a subset of sequencing statistics, a subset of microorganisms, and a subset of mapping statistics. A customizable user interface is displayed comprising a. review' status, a.

Abstract: For each UE (TxUE) in discontinuous reception (DRX) in sidelink (SL) with each second UE(RxUE), and in communication over an air interface (Uu) with a gNB, determining a TxUE Uu active time. Further determining a TxUE Uu offset time accounting for TxUE processing of both a TxUE SL grant from the gNB and data for SL transmission to each RxUE. The TxUE Uu offset time is greater than or equal to a minimum TxUE Uu offset time. Further determining, for each RxUE, one or more RxUE SL active times, each RxUE SL active time: starting no earlier than a start of the TxUE Uu active time plus the TxUE Uu offset time for a TxUE from which the each RxUE is to receive data, and ending no later than the end of the TxUE Uu active time for a TxUE from which the each RxUE is to receive data.