Abstract: This invention provides a rolling bearing protection device and a vertical-axis tidal current energy generating device applying the same. The vertical-axis tidal current energy generating device includes a frame, a vertical-axis hydraulic generator, a rolling bearing, and a rolling bearing protection device. The vertical-axis hydraulic generator includes a main shaft disposed vertical to a horizontal surface, one end of the main shaft is rotatably disposed at a bottom of the frame. The rolling bearing is sleeved on one end of the main shaft. The rolling bearing protection device is disposed above the rolling bearing. The rolling bearing protection device includes a first sealing protection device, a first water leak-proof chamber, and a second sealing protection device disposed in sequence along a gravity direction.

Abstract: A structure improvement of automobile spoiler, comprising a midsection, a right section and a left section; its features are: the spoiler of the present invention can be separated into a midsection, a right section and a left section, various parts and components can be buckled up to form one piece, after buckle combination, the parts are fastened by wood screws to form an integrated spoiler, when it is broken by collision, only the broken part is changed, the replacement cost is reduced, and the present invention can be split up, the size of the box for loading the present invention is reduced, more convenient for transportation, and the box cost is reduced.

Abstract: Systems and methods for image based location estimation are described. In one example embodiment, a first positioning system is used to generate a first position estimate. A set of structure façade data describing one or more structure façades associated with the first position estimate is then accessed. A first image of an environment is captured, and a portion of the image is matched to part of the structure façade data. A second position is then estimated based on a comparison of the structure façade data with the portion of the image matched to the structure façade data.

Abstract: A method for manufacturing a circuit board includes providing an insulating substrate, defining a through hole in the insulating substrate, forming a first conductive layer on two surfaces of the insulating substrate and on an inner wall of the through hole, forming a phase change material layer on a surface of each first conductive layer, forming a seed layer on a surface of the first conductive layer, forming a second conductive layer on a surface of the seed layer, and etching the seed layer, the first conductive layer, and the second conductive layer, so that a first conductive circuit layer and a second conductive circuit layer are respectively formed on two opposite surfaces of the insulating substrate, so that the phase change material layer is embedded in the first conductive circuit layer and in the second conductive circuit layer. The application also provides a circuit board.

Abstract: Systems and methods for local augmented reality (AR) tracking of an AR object are disclosed. In one example embodiment a device captures a series of video image frames. A user input is received at the device associating a first portion of a first image of the video image frames with an AR sticker object and a target. A first target template is generated to track the target across frames of the video image frames. In some embodiments, global tracking based on a determination that the target is outside a boundary area is used. The global tracking comprises using a global tracking template for tracking movement in the video image frames captured following the determination that the target is outside the boundary area. When the global tracking determines that the target is within the boundary area, local tracking is resumed along with presentation of the AR sticker object on an output display of the device.

Abstract: Embodiments described herein provide a two-stage model-agnostic approach for generating counterfactual explanation via counterfactual feature selection and counterfactual feature optimization. Given a query instance, counterfactual feature selection picks a subset of feature columns and values that can potentially change the prediction and then counterfactual feature optimization determines the best feature value for the selected feature as a counterfactual example.

Abstract: Provided are an application interface implementation method and apparatus in a host platform layer, a device, and a storage medium, which relate to the field of computer technologies. The implementation scheme includes: the host platform layer acquiring description data of a terminal capability interface; parsing the description data to acquire a communication mode of the terminal capability interface; and configuring a corresponding processor according to the communication mode, configuring a corresponding concept mapping relationship according to the communication mode, or configure a corresponding processor and a corresponding concept mapping relationship according to the communication mode to encapsulate a platform layer interface of the terminal capability interface, where the platform layer interface is configured to process data of communication interactions in a process in which a mini program calls the terminal capability interface through the host platform layer.

Abstract: Embodiments described herein provide a two-stage model-agnostic approach for generating counterfactual explanation via counterfactual feature selection and counterfactual feature optimization. Given a query instance, counterfactual feature selection picks a subset of feature columns and values that can potentially change the prediction and then counterfactual feature optimization determines the best feature value for the selected feature as a counterfactual example.

Abstract: Provided is a detector. The detector includes: one or more detection diodes configured to detect a change in an environment of a detection target; a Y capacitor including a plurality of capacitors separately disposed between one end of the detection diodes and a GND and between the other end of the detection diodes and the GND; and a rectifier circuit disposed at least between one end of the detection diodes and the GND or between the other end of the detection diodes and the GND, connected in series with the Y capacitor, and configured to transmit a common-mode current accompanying noise induced in the detection diodes to the GND and cut off a normal-mode loop current that flows between the plurality of capacitors and the detection diodes.

Abstract: Systems and methods are provided for analyzing electrocardiogram (ECG) data of a patient using a substantial amount of ECG data. The systems receive ECG data from a sensing device positioned on a patient such as one or more ECG leads. The system may include an application that communicates with an ECG platform running on a server(s) that processes and analyzes the ECG data, e.g., using neural networks for delineation of the cardiac signal and classification of various abnormalities, conditions and/or descriptors. The processed ECG data is communicated from the server(s) for display in a user-friendly and interactive manner with enhanced accuracy.

Abstract: In certain aspects, the disclosure provides compositions and methods for treating spinal muscular atrophy. For example, in some embodiments, the disclosure provides ALK4:ActRIIB antagonists that may be used to treat spinal muscular atrophy, particularly treating one or more complications of spinal muscular atrophy including, for example, increasing muscle mass muscle strength, and bone mineral density.

Abstract: A method for manufacturing such multilayer printed circuit board includes providing a metal laminated structure including a first type metal layer and a second type metal layer, pressing a patterned dry film layer and a protective film layer on two surfaces of the metal laminated structure, the dry film layer exposing the second type metal layer; etching the second type metal layer to form a first conductive circuit layer; etching a first type metal layer to form a second conductive circuit layer, the first conductive circuit layer and the second conductive circuit layer defining an inner circuit laminated structure; removing the dry film layer; and forming a first adding-layer circuit base board and a second adding-layer circuit base board on two surfaces of the inner laminated structure.

Abstract: The disclosure provides a silicon carbide detector and a preparation method therefor. The silicon carbide detector comprises: a wafer, the wafer sequentially comprises, from bottom to top, a substrate, a silicon carbide P+ layer, an N-type silicon carbide insertion layer, an N+ type silicon carbide multiplication layer, an N-type silicon carbide absorption layer and a silicon carbide N+ layer; the doping concentration of the N-type silicon carbide insertion layer gradually increases from bottom to top, and the doping concentration of the N-type silicon carbide absorption layer gradually decreases from bottom to top; a mesa is etched on the wafer, and the mesa is etched to an upper surface of the silicon carbide P+ layer; an N-type electrode is arranged on an upper surface of the mesa, and a P-type electrode is arranged on an upper surface of a non-mesa region.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in a search system supported by or configured with search servers or platforms. The systems interact to identify and retrieve data across platforms, which data can be used to improve the quality of results data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a Deep Fast Search (DFS) that improves content search accuracy that executes independent of the search database, while achieving an increased content retrieval speed. The disclosed systems and methods employ two complementary deep feature searches: 1) a coarse deep feature search and a 2) fine deep feature search. Thus, the disclosed systems and methods employ a coarse-to-fine strategy that embodies the efficiency and cost effectiveness of the coarse deep feature search and the accuracy of the fine deep feature search.

Abstract: This application discloses a network communication method applied to a network communication system including a first network device in a first private network, a second network device in a second private network and a gateway device coupling the first private network to the second private network. The first network device receives a first data packet transmitted from a terminal to a target blockchain node, and acquires an actual network address of the target blockchain node; and generates a second data packet according to the first data packet and the actual network address, and transmits the second data packet to a virtual network address of the second network device in the second private network, so that the operation overheads generated when the gateway device generates virtual network addresses for blockchain nodes can be reduced, thereby saving a storage space of the gateway device.

Abstract: A method includes obtaining a source training dataset that includes a plurality of source training images and obtaining a target training dataset that includes a plurality of target training images. For each source training image, the method includes translating, using the forward generator neural network G, the source training image to a respective translated target image according to current values of forward generator parameters. For each target training image, the method includes translating, using a backward generator neural network F, the target training image to a respective translated source image according to current values of backward generator parameters. The method also includes training the forward generator neural network G jointly with the backward generator neural network F by adjusting the current values of the forward generator parameters and the backward generator parameters to optimize an objective function.

Abstract: Embodiments described herein provide an attentive network framework that models dynamic attributes with item and feature interactions. Specifically, the attentive network framework first encodes basket item sequences and dynamic attribute sequences with time-aware padding and time/month encoding to capture the seasonal patterns (e.g. in app recommendation, outdoor activities apps are more suitable for summer time while indoor activity apps are better for winter). Then the attentive network framework applies time-level attention modules on basket items' sequences and dynamic user attributes' sequences to capture basket items to basket items and attributes to attributes temporal sequential patterns. After that, an intra-basket attentive module is used on items in each basket to capture the correlation information among items.

Abstract: The present invention relates to an isoindoline compound as represented by general formula (I) and used as a CRBN regulator, and a preparation method, a pharmaceutical composition, and an application of the isoindoline compound. Specifically, a class of polysubstituted isoindoline compound provided in the present invention, as a class of CRL4CRBN E3 ubiquitin ligase regulator having a novel structure, has good anti-tumor activity and immunoregulatory activity, and can be used for preparing drugs for treating diseases associated with a CRL4CRBN E3 ubiquitin ligase.

Abstract: Systems and methods are provided for analyzing electrocardiogram (ECG) data of a patient using a substantial amount of ECG data. The systems receive ECG data from a sensing device positioned on a patient such as one or more ECG leads/electrodes that may be integrated in a smart device. The system may include an application that communicates with an ECG platform running on a server(s) that processes and analyzes the ECG data, e.g., using neural networks, to detect and/or predict various abnormalities, conditions and/or descriptors. The system may also determine a confidence score corresponding to the abnormalities, conditions and/or descriptors. The processed ECG data is used to generate a graphic user interface that is communicated from the server(s) to a computer for display in a user-friendly and interactive manner with enhanced accuracy.

Abstract: The present invention relates to a polysubstituted isoindoline compound as shown in general formula (I), and a preparation method, a pharmaceutical composition and the use thereof. In particular, the polysubstituted isoindoline compound is provided in the present invention as a class of novel CRL4CRBN E3 ubiquitin ligase modulators in structure, wherein same has a stronger antitumor activity and antitumor spectrum, and can be used to prepare drugs for treating CRL4CRBN E3 ligase-related diseases.