Abstract: This application provides a rotation shaft structure and an electronic device. The rotation shaft structure includes a main shaft assembly, and two folding assemblies. The folding assembly includes a rotation assembly, a support plate, and a housing mounting bracket. The rotation assembly is rotationally connected to the main shaft assembly. The support plate is rotationally connected to the housing mounting bracket and slidably connected to the rotation assembly. When two housing mounting brackets rotate toward each other, two support plates rotate in a same direction relative to the housing mounting brackets on corresponding sides, so that the two support plates and the main shaft assembly can form a triangle-like display accommodation space. When the electronic device is in a closed state, the display accommodation space can be used for accommodating a bent portion of the flexible display, so that the flexible display is not damaged by extrusion.

Abstract: A compiler system for deploying CNN models to FPGA-based high-performance accelerators is provided. The compiler system comprises a compiler front end and a compiler back end, as well as a runtime library and an accelerator; the compiler front end is used for the quantization of CNN models to be deployed based on the ONNX model and a training data set, and the IR Graph corresponding to the CNN model to be deployed is obtained; the compiler back end is used to determine instructions and configuration information; the instruction set architecture comprises CONY, MAXP, AVGP, ADD and FC, and the configuration information comprises pre-trained weights and bias, packet descriptors and key-value pairs representing control registers; the runtime library is used to store instructions and configuration files to DRAM, and FPGA is configured according to the configuration information of the model.

Abstract: This application discloses a compression accelerator card, method of simulating hard disk mode to access the compression accelerator card.

Abstract: The embodiments of the present application provide a method and an apparatus for predicting an average energy consumption of an electric vehicle.

Abstract: A silicon-on-insulator metal-oxide-semiconductor field-effect transistor (SOI MOSFET) structure is provided, including a substrate layer; a buried oxide layer which is arranged on an upper surface of the substrate layer and is made of SiO2; an active zone which is arranged on an upper surface of the buried oxide layer; a source electrode and a drain electrode which are arranged on an upper surface of the active zone; a gate dielectric layer which is arranged between the source electrode and the drain electrode; a gate electrode which is provided in the gate dielectric layer; and a heat conduction column which penetrates through the buried oxide layer, and its top wall is in contact with the active zone. The heat conduction column dissipates heat in the active zone, resulting in a lattice temperature of the active zone will not increase extremely and avoiding a decrease of a current of the drain electrode.

Abstract: The disclosure relates to KRAS inhibitor compounds having the structure of Formula (I), pharmaceutical compositions thereof, and methods of use thereof for inhibiting, treating, and/or preventing KRAS-associated diseases, disorders and conditions.

Abstract: There is provided a method comprising receiving at least one measured signal characteristic from a user equipment, the user equipment being located at a user equipment location; comparing the at least one measured signal characteristic to at least one of a plurality of signal characteristics, each signal characteristic being associated with a respective measurement point; and determining, based on the comparing, a probability that the user equipment location is a first location.

Abstract: In various examples, to support training a deep neural network (DNN) to predict a dense representation of a 3D surface structure of interest, a training dataset is generated using a parametric mathematical modeling. A variety of synthetic 3D road surfaces may be generated by modeling a 3D road surface using varied parameters to simulate changes in road direction and lateral surface slope. In an example embodiment, a synthetic 3D road surface may be created by modeling a longitudinal 3D curve and expanding the longitudinal 3D curve to a 3D surface, and the resulting synthetic 3D surface may be sampled to form a synthetic ground truth projection image (e.g., a 2D height map). To generate corresponding input training data, a known pattern that represents which pixels may remain unobserved during 3D structure estimation may be generated and applied to a ground truth projection image to simulate a corresponding sparse projection image.

Abstract: A liquid cooling unit is arranged at an end surface of a casing of a energy storage container. The liquid cooling unit includes a cabinet having an accommodation space and a heat dissipation assembly arranged in the accommodation space. The cabinet includes a first surface adjacent to the end surface and a second surface adjacent to a side surface of the container casing and adjacent to the first surface. The direction in which the first surface faces defines a first servicing direction of the liquid cooling unit, and the direction in which the second surface faces defines a second servicing direction of the liquid cooling unit. The heat dissipation assembly is structured to be serviceable in the first servicing direction and the second servicing direction to realize servicing of most of components of the unit without pulling the unit to outside of the container casing for servicing.

Abstract: A semiconductor device and a manufacturing method thereof are disclosed in the present invention. The semiconductor device includes a source structure; a gate structure disposed above the source structure; a first opening penetrates through the gate structure in a vertical direction; a semiconductor structure; a gate dielectric layer; an insulation structure; and a void. The semiconductor structure is partially disposed in the first opening, and at least a portion of the gate structure is located at two opposite sides of the semiconductor structure in a horizontal direction. The gate dielectric layer is disposed in the first opening and located between the semiconductor structure and the gate structure. At least a portion of the insulation structure is disposed in the first opening, at least a portion of the semiconductor structure is located between the insulation structure and the gate dielectric layer, and the void is located in the insulation structure.

Abstract: Systems and methods in this document describe a mental health management system. The mental health management system accesses patient data associated with a patient from a database, determines that the patient is associated with a trigger event, generates a prediction, using a predictive modeling system trained to analyze the patient data, the prediction corresponding to a probability that the patient's current medication data will be modified, stores the prediction in association with the patient data, and transmits the prediction to a computing device.

Abstract: Embodiments of this application disclose a transmission processing method and apparatus, a device, and a storage medium. The method is applied to a first device, and includes: receiving a pre-scheduling message that is transmitted by a second device through a first channel; reading, from the pre-scheduling message, a pre-scheduling moment and a pre-scheduling frequency band that are used for pre-scheduling transmission between the first device and the second device; and transmitting, before the pre-scheduling moment is reached, uplink target data and indication information to the second device by using any band other than the pre-scheduling band, the indication information being used for indicating cancellation of the pre-scheduling transmission.

Abstract: The invention provides an electrochemical discharge-assisted micro-grinding device for micro-components of brittle and hard materials. The device includes a micro-grinding tool, grinding fluid, a workpiece, an auxiliary electrode, a processing groove, and a pulsed DC power supply; the processing groove is filled with grinding fluid; the micro-grinding tool, the workpiece, and the auxiliary electrode are immersed in the grinding fluid; the micro-grinding tool is composed of a conductive grinding tool base, an electroplating layer, and insulated superabrasives. The micro-grinding tool is connected to the negative electrode of the pulsed DC power supply; the grinding fluid is composed of H2O2, Na2CO3, EDTA-Fe-Na, and deionized water; the workpiece material is brittle and hard; a large number of micro structures need to be produced on the surface of the workpiece.

Abstract: Provided are a sampling clock phase mismatch error estimation method and apparatus, and a storage medium. This sampling clock phase mismatch error estimation method includes: a proportional relation between an estimation operator of a modular square subtraction method corresponding to each frequency interval of multiple frequency intervals and a sampling clock phase mismatch error of a time-interleaved analog to digital converter (TIADC) is acquired; a slope and an offset value of a fitting proportion line segment are counted; and a slope of a proportion line segment corresponding to a real-time estimation frequency is converted, and an offset value corresponding to the real-time estimation frequency is estimated through an interpolation according to a counted slope and a counted offset value, and the actual value of the sampling clock phase mismatch error is estimated according to a converted slope and an offset value estimated through the interpolation.

Abstract: Embodiments are disclosed for predicting, using neural networks, editing operations for application to a video sequence based on processing conversational messages by a video editing system. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input including a video sequence and text sentences, the text sentences describing a modification to the video sequence, mapping, by a first neural network content of the text sentences describing the modification to the video sequence to a candidate editing operation, processing, by a second neural network, the video sequence to predict parameter values for the candidate editing operation, and generating a modified video sequence by applying the candidate editing operation with the predicted parameter values to the video sequence.

Abstract: Atomically dispersed platinum-group metal-free catalyst and method for synthesizing the same. According to one embodiment, the catalyst is made by a method in which, in a first step, a metal oxide/zeolitic imidazolate frameworks (ZIF) composite is formed by combining (i) nanoparticles of an oxide of at least one of iron, cobalt, nickel, manganese, and copper, (ii) a hydrated zinc salt, and (iii) an imidazole. Then, in a second step, the metal oxide/ZIF composite is thermally activated, i.e., carbonized, to form an M-N—C catalyst. Thereafter, the M-N—C catalyst may be mixed with a quantity of ammonium chloride, and then the M-N—C/NH4Cl mixture may be pyrolyzed. The foregoing NH4Cl treatment may improve the intrinsic activity of the catalyst. Then, a thin layer of nitrogen-doped carbon may be added to NH4Cl-treated M-N—C catalyst by chemical vapor deposition (CVD). Such CVD treatment may improve the stability of the catalyst.

Abstract: The present invention provides a crystal of a compound represented by formula I as a 3-hydroxy-5-pregnane-20-one derivative and a preparation method therefor. Specifically, the present invention provides novel crystal forms A-C of the compound represented by formula I and a preparation method therefor. The novel crystal forms of the compound represented by formula I of the present invention have excellent thermal stability and mechanical stability, the preparation process thereof is simple, and the novel crystal forms have an excellent industrial implementation potential.

Abstract: The present disclosure relates to use of a multigene stacking method in synthesis of nervonic acid in Brassica napus. The present disclosure provides a multigene co-expression plant vector, including an initial backbone of pBWA(V)BII and multiple exogenous gene expression cassettes. The present disclosure further provides two plant vectors applicable to genetic transformation, including a three-gene co-expression plant vector and a five-gene co-expression plant vector. In the present disclosure, after the three-gene co-expression plant vector and the five-gene co-expression plant vector are separately transferred into the Brassica napus, the nervonic acid (NA) with a high content is synthesized in the Brassica napus through multigene co-expression. An NA ratio can be significantly increased combined with a higher seed oil content and a greater field seed yield. The plant vector realizes efficient synthesis of NA in oil crops, obtains NA-rich seed oil, and increases an added value of edible oil.