Abstract: Systems, methods, and computer program products calculate a historical feature similarity point distribution associated with a first machine learning model, calculate a real-time feature similarity point distribution associated with a second machine learning model, and automatically provide, based on a comparison of the historical feature similarity point distribution to the real-time feature similarity point distribution, an indication of whether the second machine learning model is aligned with the first machine learning model.

Abstract: A grid and skin assembly for use in a composite laminate structure is described. The assembly includes a metallic grid having a plurality of intersecting ribs oriented in at least two distinct rib directions offset at a grid angle relative to one another and defining respective intersection points; and a composite laminate skin having a plurality of ply layers comprising a plurality of tapes oriented in at least two distinct tape directions offset at a ply angle relative to one another. The grid angle is at least 25 degrees, the intersection points define glueless joints of the metallic grid, and the grid is a non-aluminum-based material. A grid and method of manufacturing the grid and skin assembly is also described. The method includes a water jet cutting procedure and glueless joint formation due to differing thermal expansion characteristics of the grid and skin.

Abstract: The present disclosure provides use of Clostridium ghonii combined with a tumor angiogenesis inhibitor in preparing a pharmaceutical product for treating a tumor. The present disclosure further provides a drug for treating a tumor, where the drug includes active ingredients of Clostridium ghonii and a tumor angiogenesis inhibitor.

Abstract: In some aspects the disclosure provides compositions and methods for promoting expression of functional Forkhead box G1 (FOXG1) protein in a subject. In some embodiments, the disclosure provides methods of treating a subject having FOXG1 deficiency.

Abstract: Radar systems and methods for generating mixed signal chirps are provided. An example radar system includes a set of transmitters including a plurality of subsets of transmitters; and a processor coupled to the set of transmitters. In operation, the processor applies a beamforming operation on outputs of transmitters within each subset of transmitters, in which a plurality of beamforming operations are respectively applied to the plurality of subsets of transmitters; applies a first multiple input-multiple output (MIMO) scheme to the subsets of transmitters; and applies a second MIMO scheme to the subsets of transmitters that share a common transmitter. The first MIMO scheme may be Doppler division multiple access (DDMA), and the second MIMO scheme may be one of time division multiple access (TDMA) and frequency division multiple access (FDMA).

Abstract: Disclosed are a control system for an operating room, and a method for controlling connection of an operating room. The system includes a first control apparatus, which is in communicative connection with a medical device and with a position changes synchronously with a position of the medical device; and a second control apparatus which is arranged at a designated position of the operating room. The first control apparatus includes a first scanning module, the second control apparatus includes a second scanning module, for obtaining a scanning result which indicates a distance, a signa strength or a position. When the scanning result satisfies a first condition, establish a communicative connection between the medical device and the control device. When the scanning result satisfies the first condition or a second condition, maintain a communicative connection between the medical device and the control device. A stability of the communicative connection is improved.

Abstract: A light-emitting device (10) includes an anode (101) and a cathode (102), and a light-emitting unit (104) arranged between the anode (101) and the cathode (102). The light-emitting unit (104) includes at least two light-emitting layers (5) and a charge generation layer (6) arranged between two adjacent light-emitting layers (5). At least one light-emitting layer (5) includes a first light-emitting sub-layer (51) and a second light-emitting sub-layer (52), the first light-emitting sub-layer (51) is closer to the anode (101) than the second light-emitting sub-layer (52). The first light-emitting sub-layer (51) includes a first host material and a first guest material; the second light-emitting sub-layer (52) includes a second host material and a second guest material; a triplet energy level of the first host material is greater than that of the second host material, and triplet energy levels of the host materials are greater than those of the guest materials.

Abstract: A computer-implemented method includes: receiving an inquiry request message identifying a first payment transaction having a plurality of transaction parameters and a risk score, where the risk score is generated by a machine-learning model based on the plurality of transaction parameters; for each transaction parameter of the plurality of transaction parameters, perturbing a value of the transaction parameter and re-analyzing the first payment transaction with the machine-learning model to generate a perturbed risk score based on the perturbed transaction parameter; determining at least one impact parameter from the plurality of transaction parameters by comparing the perturbed risk scores generated for each of the plurality of transaction parameters; and generating an inquiry response message based on the at least one impact parameter.

Abstract: A manufacturing method for a semiconductor structure includes: a substrate is provided; a stacked structure formed by alternately stacking multiple semiconductor material layers and multiple insulating material layers on the substrate; a channel region stacked layer and an initial gate pillar are formed, the initial gate pillar includes an initial gate conductive layer and an initial gate dielectric layer, the initial gate pillar has two first sidewalls in contact with two adjacent channel region stacked layers and a second sidewall not in contact with the channel region stacked layers; the gate dielectric layer and the gate conductive layer on the second sidewall are removed, to form a target gate pillar which has two opposite third sidewalls in contact with two adjacent channel region stacked layers, a first length of a gate conductive layer is less than a second length of a gate dielectric layer on the third sidewalls.

Abstract: The present invention relates to a method for the in vitro large-scale expansion of double-negative T cells rich in Tscm and Tem. Specifically, the method comprises the step of: (a) providing an initial sample I of peripheral blood obtained from a donor, (b) pretreating the initial sample I to obtain sample II, and (c) culturing sample II in a culture system containing a culture medium suitable for the growth of DNT cell, thereby obtaining a sample III. The expansion process of the present invention is simple and stable, and can achieve the in vitro large-scale culturing of DNT cells rich in Tscm and Tcm cell characteristics. The purity of the final product DNT cells (CD3+CD4?CD8?) is ?85%, which meets the requirements for clinical use.

Abstract: The present disclosure belongs to the technical field of display. Disclosed are a display panel and a display apparatus. The display panel comprises a driving backplane, a pixel electrode layer, a light-emitting functional layer and a common electrode layer, which are sequentially arranged in a stacked manner, wherein the light-emitting functional layer has common material layers, which cover gaps between a plurality of light-emitting elements; and at least one of the common material layers contains a hole-transport-type nitrogen-containing compound, and the hole-transport-type nitrogen-containing compound has relatively high transverse resistance after becoming a film. The display panel can reduce the crosstalk between light-emitting elements.

Abstract: The present invention provides a metal artifact reduction method in an image domain for spectral CT, and belongs to the technical field of CT imaging. During imaging of a target (e.g., a patient) with a metal implant, metal artifacts can be observed in virtual monoenergetic images obtained by current devices, in particular, it is more obvious at a low energy (low keV). According to the method, by extraction of non-artifact regions (or low-artifact regions) in the virtual monoenergetic images in which artifacts exist and decomposition of basis materials, a relational model between basis materials and artifact-free (or low-artifact) images is constructed, then pixel (voxel) CT values in the artifact-free monoenergetic images corresponding to artifact regions in the above images with artifacts are substituted into the above relational model, and new decomposition of the basis materials is acquired, so that virtual monoenergetic images after artifact correction under arbitrary energy are synthesized.

Abstract: A method and apparatus for processing datato implement the method, which comprises: receiving, by a first function, at least one protocol data unit (PDU) in a first PDU set within a first PDU set delay budget.

Abstract: Systems and methods for entity linking using a graph neural network are disclosed. In one aspect, a method for entity linking can include extracting a first attribute set of an unknown entity from an information source and retrieving second attribute sets of known entities from a database, wherein each of the second attribute sets corresponds to one of the known entities. The method can further include generating an unknown entity graph based on the first attribute set, generating known entity graphs based on the second attribute sets, generating an unknown entity graph embedding by applying the unknown entity graph to a graph neural network, and generating known entity graph embeddings by applying the known entity graphs to the graph neural network. The method can further include assigning the information source to one of the known entities based on the unknown entity graph embedding and the known entity graph embeddings.

Abstract: The present disclosure provides an organic light-emitting diode structure and a display device. The electron blocking layer, the luminescent layer and the hole blocking layer in the organic light-emitting diode structure satisfy: HOMOhost?HOMOEBL?0.3 eV, LUMOhost>LUMOHBL, and HOMOHBL?HOMOhost?0.1 eV, wherein HOMO is the highest occupied molecular orbital, LUMO is the lowest unoccupied molecular orbital, host refers to the host material, EBL refers to the electron blocking layer, and HBL refers to the hole blocking layer.

Abstract: A method comprising: creating, on a server, an object corresponding to the transaction; tracking state of the object as the object transitions between a plurality of states, the object being in one state while waiting for a transfer for the transaction; and automatically associating with the object by matching a reference code received with the transfer.

Abstract: A method is provided. In some examples, the method includes receiving a first user input at processing circuitry. The method also includes determining, by the processing circuitry based on a signal from a radar sensor, movement of a user in a room after receiving the first user input. In addition, the method includes determining, by the processing circuitry, a first estimated location of a first wall in the room based on a first portion of the movement of the user. The method further includes determining, by the processing circuitry, a second estimated location of a second wall in the room based on a second portion of the movement of the user.

Abstract: Entity linking using a graph neural network is disclosed. Entity linking can include tokenizing an unknown name, tokenizing a known name from a set of known names, identifying a candidate from the set of known names, and generating a tripartite graph. The tripartite graph can include a first layer node corresponding to the unknown name, second layer nodes corresponding to words of the known name and the candidate, and a third layer node corresponding to the candidate. The method can further include assigning the unknown name to one of the known names by applying the tripartite graph to a graph neural network model.

Abstract: An organic light-emitting device and a preparation method therefor, a display panel, and a display device. The organic light-emitting device comprises an anode layer, a cathode layer, and a first light-emitting layer and an auxiliary light-emitting layer disposed between the anode layer and the cathode layer; the auxiliary light-emitting layer is located between the first light-emitting layer and the cathode layer; the first light-emitting layer comprises a first host material, a first thermally activated delayed fluorescence material, and a first fluorescence guest material; the auxiliary light-emitting layer comprises at least a second host material and a second thermally activated delayed fluorescence material. The first light-emitting layer is a super-fluorescence system, and the auxiliary light-emitting layer also forms a super-fluorescence system together with the first fluorescence guest material.