Abstract: A patterned aluminum nitride (AlN) composite substrate and a preparation method thereof are provided. A single crystal AlN with a semi-suspended AlN structure is prepared on a high temperature-resistant substrate. A non-suspended AlN of the single crystal AlN is covered by an optical medium material while a suspended AlN is exposed. A surface of the suspended AlN with a low dislocation density and a low mismatch stress and distributed periodically is used as a nucleation growth zone of a nitride semiconductor. An epitaxial interface is changed from an AlN/high temperature-resistant substrate into a homogeneous or nearly-homogeneous interface between the nitride semiconductor and the AlN. In this way, the patterned AlN composite substrate is obtained.

Abstract: Various implementations disclosed herein include devices, systems, and methods that generate floorplans and measurements using a three-dimensional (3D) representation of a physical environment generated based on sensor data.

Abstract: A method for analyzing an out-of-service event of an elevator system. In response to the occurrence of an out-of-service event, the method generates a first feature, a second feature, and a third feature, and uses a first machine learning model to determine the necessity of handling the out-of-service event based on the first feature, the second feature, and the third feature. In the method, the first feature is used to describe the likelihood of equipment failure occurring in the elevator system, the second feature is used to describe the equipment failure occurrence characteristics of a reference elevator system with a similar operational environment to the elevator system, and the third feature is used to describe the equipment failure occurrence characteristics of the elevator system.

Abstract: Disclosed in the present application a method for electing a master node in a cluster.

Abstract: Provided are a flexible molecularly imprinted sensor for in-situ and in-vivo detection of gamma-aminobutyric acid content in plants, and a preparation method and a detection method thereof. The flexible molecularly imprinted sensor includes: a flexible substrate and a graphene electrode unit, the graphene electrode unit being arranged on the flexible substrate, where the graphene electrode unit includes a conductive track, a working electrode, a counter electrode, and a reference electrode, where the counter electrode and the reference electrode are respectively located on two sides of the working electrode, and the working electrode is successively provided from inside to outside with a first modification layer, a second modification layer, and a third modification layer, the first modification layer including an AuNPs material, the second modification layer including an Fc-Ni3(HITP)2-ZnFe-LDH material, and the third modification layer including a molecularly imprinted polymer (MIP) material.

Abstract: Systems and methods for performing document entity extraction are described herein. The method can include receiving an inference document and a target schema. The method can also include generating one or more document inputs from the inference document and one or more schema inputs from the target schema. The method can further include, for each combination of the document input and schema input, obtaining one or more extraction inputs by generating a respective extraction input based on the combination, providing the respective extraction input to the machine-learned model, and receiving a respective output of the machine-learned model based on the respective extraction. The method can also include validating the extracted entity data based on reference spatial locations and inference spatial locations and outputting the validated extracted entity data.

Abstract: A method, system, and non-transitory computer readable medium includes extracting key content from a question prompt using key information extraction and lexical analysis. The question prompt can be received from a client device. Next, the method can include generating an enriched question based on the question prompt and relevant node information and processing the enriched question with a machine learning model to generate an answer to the question prompt. The relevant node information can be based on relevant graph nodes obtained by matching the key content with nodes in a knowledge graph. Next, the method can include transmitting the answer to the question prompt received from the machine learning model to the client device.

Abstract: Provided herein are compositions, systems, kits, and methods for treating a patient with cancer by alternate administration of decitabine and 5-azacytidine, or administration of decitabine two times per week on consecutive days, which is generally timed to bypass auto-dampening and exploit cross-priming. Such administration is combined with an inhibitor of the enzyme cytidine deaminase (e.g., tetrahydrouridine) that otherwise rapidly catabolizes decitabine and 5-azacytidine. In certain embodiments, the time between cycles of decitabine and 5-azacytidine administration is about three to four days or five to ten days.

Abstract: Structures that include a layer stack for a resistive memory element and methods of forming a structure that includes a layer stack for a resistive memory element. The structure comprises a resistive memory element including a first electrode, a second electrode, and a switching layer disposed between the second electrode and the first electrode. The first electrode includes a first layer and a second layer between the first layer and the switching layer. The switching layer has a first thickness, and the second layer of the first electrode has a second thickness that is less than the first thickness of the switching layer.

Abstract: Various implementations disclosed herein include devices, systems, and methods that present a live view of a room based on two-dimensional (2D) images obtained during a scan. Sensor data is obtained during a scan of a room of a physical environment. The sensor data includes a 3D point cloud and a sequence of 2D images corresponding to captured views of the room. A shape representing an element of the room based on the sensor data is generated. A position of an edge of the shape is refined based on an image of the sequence of 2D images obtained during the scan of the room. A live view of the room is presented based on the sequence of 2D images obtained during the scan of the room, where the live view includes a line positioned based on the refined position of the edge of the shape.

Abstract: Systems and methods for performing document entity extraction are described herein. The method can include receiving an inference document and a target schema. The method can also include generating one or more document inputs from the inference document and one or more schema inputs from the target schema. The method can further include, for each combination of the document input and schema input, obtaining one or more extraction inputs by generating a respective extraction input based on the combination, providing the respective extraction input to the machine-learned model, and receiving a respective output of the machine-learned model based on the respective extraction. The method can also include validating the extracted entity data based on reference spatial locations and inference spatial locations and outputting the validated extracted entity data.

Abstract: Semiconductor devices including seal rings and method of making the same is provided. A semiconductor device comprises an interconnect layer over a substrate. The interconnect layer comprises a barrier layer over a dielectric layer. A seal ring is in the interconnect layer and the seal ring extends through the interconnect layer to abut the substrate. An insulator layer is around the seal ring and the insulator layer spaces the seal ring from the barrier layer. A protective structure is laterally adjacent to the seal ring and the protective structure extends through the interconnect structure to abut the substrate. The seal ring may be segmented and comprises a first segment in a first trench in an interconnect stack, and a second segment in a second trench in the interconnect stack.

Abstract: An apparatus and process for oxidant formation can be configured to facilitate improved mixing of for formation of an oxidant. Embodiments can be configured so conduits having a relatively large aspect ratio (e.g., 1.5 to 5 or 1.5 to over 5) can be utilized for improved gas mixing even in situations in which the carrier gas is at a relatively low pressure. Embodiments can also facilitate low nitrogen oxide formation combustion. Some embodiments can additionally provide improved carbon capture.

Abstract: Structures for a resistive random-access memory element and methods of forming a structure for a resistive random-access memory element. The structure comprises an interlayer dielectric layer including a first trench having a sidewall and a second trench having a sidewall adjacent to the sidewall of the first trench. The structure further comprises a first layer on the sidewall of the first trench, a second layer inside the second trench, and a third layer on the sidewall of the second trench. The first layer comprises a first metal, the second layer comprises a second metal, and the third layer comprises a dielectric material. The third layer includes a portion positioned between the first layer and the second layer.

Abstract: Various implementations disclosed herein include devices, systems, and methods that generate floorplans and measurements using a three-dimensional (3D) representation of a physical environment generated based on sensor data.

Abstract: A method and device for determining a safety risk of an elevator system, and a non-transitory computer-readable storage medium storing a computer program for implementing the method. A method for determining a safety risk of an elevator system includes determining the safety risk by generating a feature vector based at least on operational state data of the elevator system, and subsequently determining a probability of a transport object being trapped in a car of the elevator system using a neural network model. The feature vector and the probability are an input variable and an output variable of the neural network model, respectively, and the feature vector includes components corresponding to combinations selected from a plurality of state values of a first category of features. Further, the state values of the first category of features are determined based on the operational state data.

Abstract: The present invention discloses a Self-detection circuit based on power detector, comprising a power detector, a coupler, a phased array transmitting channel 1 and a phased array transmitting channel 2, and the power detector is divided into two working modes of phase test and amplitude test. The problems that the self-test circuit is complex and large in chip area are solved.

Abstract: Provided are a piperazino ring derivative represented by formula (I), a pharmaceutically acceptable salt thereof, a preparation method therefor, and a pharmaceutical composition containing said compound, as well as the use of the compound as a polyadenosine diphosphate ribose (ADP-ribose) polymerase (PARP) inhibitor in the treatment of a cancer, inflammation, a metabolic disease, a cardiovascular disease, an immunological disease, a mental disorder, or a related disease.