Abstract: The present invention relates to method for filling deformable karst cave, and the steps are: penetrating a grouting pipe into an elastic silicone tube, penetrating the grouting pipe and the elastic silicone tube into a deformable bracket, and lowering into a karst cave; sealing the elastic silicone tube, injecting silicate resin materials into the grouting pipe, and injecting steel fiber reinforced grout to implement a “block stone-like” structure; sealing the elastic silicone tube, separating the “block stone-like” structure from the elastic silicone tube to complete a “block stone-like” structure; lowering the elastic silicone tube and the deformable bracket, sealing the elastic silicone tube, lowering the elastic silicone tube and the deformable bracket tore construct the “block stone-like” structure, and completing the filling. The present invention may effectively stabilize the karst cave, ensure safe tunnel construction and stable surrounding rocks, and improve engineering construction speed.

Abstract: The present invention relates to a method for preparing glufosinate or an analogue and an intermediate thereof. The method comprises: a) reacting a compound of formula (II), an alcohol of formula (III) and a compound of formula (V); and b) hydrolyzing the product of the reaction above to obtain glufosinate of formula (IV) or an analogue thereof.

Abstract: The present invention belongs to the technical field of ocean traffic engineering, and relates to a fabricated ocean tunnel structure with an escape device and an application method thereof. The present invention includes a fabricated ocean tunnel structure and an escape device. the partition plate separates a middle bin in the tunnel, and the escape device is connected into the middle bin; and the escape device includes a rescue capsule, transverse ladders are evenly arranged in the rescue capsule, and a balancing weight block and a rescue equipment area are arranged at the bottom of the rescue capsule. The ocean tunnel structure can be provided with a rescue device during installation, and the safety of personnel escape can be guaranteed; therefore, the safety of the ocean tunnel structure is improved, cost is relatively low, secondary damage to the ocean tunnel structure is not needed.

Abstract: Disclosed are a super-resolution imaging system (1, 41, 51), a super-resolution imaging method, a biological sample identification system (4, 61) and method, a nucleic acid sequencing imaging system (5) and method, and a nucleic acid identification system (6) and method. The super-resolution imaging system (1, 41, 51) includes an illumination system (A) and an imaging system (B). The illumination system (A) outputs excitation light to irradiate a biological sample to generate excited light, and the imaging system (B) collects and records the excited light to generate an excited light image. The illumination system (A) includes an excitation light source (10, 10a) and a structured light generation and modulation device (11, 11a). The excitation light source (10, 10a) outputs the excitation light, and the structured light generation and modulation device (11, 11a) modulates the excitation light into structured light to irradiate the biological sample to generate the excited light.

Abstract: In a logging identification method for a small fault based on stress anisotropy and crustal stress types, a magnitude and direction of a current crustal stress are determined by means of logging calculation of the crustal stress, and a transformation location of a crustal stress type is determined; a development location of the small fault is determined according to the transformation location of the crustal stress type; and an included angle between the current crustal stress and the fault is determined according to an amplitude of variation of stress anisotropy. The present disclosure provides the logging identification method for a small fault based on stress anisotropy and crustal stress types. According to the method, prediction cost is low, operability is high, and a prediction result has a reference value for guiding exploration and development of a complex oil and gas reservoir and construction of a gas storage.

Abstract: A light emitting device includes a light-emitting laminate and an insulating reflective structure. The insulating reflective structure includes n pairs of dielectric layers stacked on the light-emitting laminate. Each of the n pairs of dielectric layers includes a first material layer and a second material layer. The first material layer has a first refractive index, and the second material layer has a second refractive index that is greater than the first refractive index of the first material layer. For each pair of dielectric layers among m1 pairs of dielectric layers out of the n pairs of dielectric layers, the first material layer has an optical thickness that is greater than that of the second material layer, where 0.5n?m1?n, and n and m1 are natural numbers greater than 0.

Abstract: Systems and methods are provided for excitation spectral microscopy using frame-synchronized acousto-optic scanning of fluorescent excitation wavelengths. Linear unmixing of the images of targets of components that are individually labeled with different fluorophores can be simultaneously imaged with high temporal resolution and low crosstalk and the local abundance of each fluorophore at each pixel can be quantified. Fluorophore decomposed micrographs of the sample can be obtained by rendering the abundance in each pixel as an image.

Abstract: Provided are an LED chip and a light emitting device, which include a light emitting epitaxial layer, a first insulating layer covering the light emitting epitaxial layer, and a first pad and a second pad located on the first insulating layer. Each of the first pad and the second pad includes a stress buffer layer, a nickel metal layer, and a protective layer. The stress buffer layer includes aluminum metal layers; and by adjusting the thickness distribution of the aluminum metal layers, an aluminum metal layer closest to the nickel metal layer is set to be the thickest, and the aluminum metal layers are thickened, especially the thickness of the aluminum metal layer closest to the nickel metal layer is greater than or equal to the thickness of the nickel metal layer, therefore, the ductility and tensile property of aluminum metal are utilized to play a role in stress buffering.

Abstract: A bus assembly, an electrical motor, an electric power steering system, and a vehicle are provided. The bus assembly has multiple bus bars axially spaced along an electrical motor. Each bus bar has multiple bus segments arranged along the circumferential direction of the electrical motor. The bus segments of one of the bus bars have the same structure.

Abstract: Disclosed are a coding management method and apparatus based on High Efficiency Video Coding (HEVC). The method includes: obtaining a calculated correlation result for a HEVC basic unit before and after division, the correlation result including a spatial correlation result for the basic unit before the division and N basic units generated after the division, and N being an integer greater than 1; and judging whether or not to perform the division on the basic unit according to the calculated correlation result.

Abstract: Provided are a method and apparatus for presenting image for a VR device, a device and a non-transitory computer-readable storage medium. The method for presenting image for a VR device includes steps of: acquiring input image data; establishing a correspondence between the input image data and output image data in a polar coordinate system, the polar coordinate system having a pole which is an intersection of a center of a field of view of the VR device and a display plane; obtaining image data to be presented according to the output image data; and presenting the image data to be presented on the basis of a convex lens.

Abstract: The present disclosure discloses a hotpatch method for vulnerabilities in embedded Internet of Things (IoT) devices. The method includes acquiring vulnerability information of the embedded IoT devices to be patched; selecting a corresponding vulnerability patching mode based on different vulnerability types of the vulnerability information, and acquiring an eBPF patch bytecode file (first patch) and an eBPF patch code configuration file from a server according to the vulnerability patching mode; compiling the eBPF patch bytecode based on the eBPF patch bytecode and the eBPF patch code configuration file to generate a patch binary code file (second patch) and configuration information of the patch binary code; and adopting three approaches to trigger the patch binary code to patch the vulnerability information based on the configuration information and the vulnerability patching mode.

Abstract: One disclosed method involves accessing, by a computing system and using access credentials associated with a user, data associated with systems of record, generating, by the computing system, a plurality of notifications of events indicated by the data, determining, by the computing system, that the user selected at least one keyword, determining, by the computing system, that a first notification of the plurality of notifications relates to the at least one keyword, and causing, by the computing system and based at least in part on the first notification relating to the at least one keyword, a client device operated by the user to present the first notification.

Abstract: The present disclosure provides a training method and a prediction method for a diagenetic parameter prediction model based on an artificial intelligence algorithm, which includes: obtaining a plurality of diagenesis samples each including diagenetic condition parameters and an actual diagenetic parameter evolved therefrom; constructing an initial diagenetic parameter prediction model based on the diagenesis samples and a total dimension of the diagenetic condition parameters; and training the initial diagenetic parameter prediction model with the diagenesis samples so as to obtain a trained diagenetic parameter prediction model. The present disclosure can obtain a diagenetic parameter prediction model by training with the existing diagenesis samples, thereby solving problems of large amount of calculation, high uncertainty and large deviations in the prediction of the diagenetic parameters, which leads to a low evaluation accuracy of reservoirs and limits the oil and gas exploration.

Abstract: Systems and methods are provided for a battery management system (BMS) having a protection circuit. In one example, a vehicle battery system may include the BMS, the BMS including a cutoff circuit electrically coupled to the protection circuit, and a battery pack, a positive supply line of the battery pack being electrically coupled to the cutoff circuit, wherein the protection circuit may include each of an input electrically coupled to a control input of the cutoff circuit, an output electrically coupled to an output of the cutoff circuit, and a control input of the protection circuit electrically coupled to the output of the cutoff circuit. In some examples, the protection circuit may further include a low-current leakage transistor configured to maintain the cutoff circuit in an OFF state upon detection of a reverse bias voltage. In this way, the protection circuit may mitigate unexpected switching ON of the cutoff circuit.

Abstract: The present disclosure provides a gallium nitride substrate, where the gallium nitride substrate has a surface having a diameter not less than 50 mm; nine circular regions having a diameter not greater than 1 mm are taken on a surface of the gallium nitride substrate; threading dislocation densities and threading dislocation tilt angles are calculated at the nine circular regions using a multi-photon excitation photoluminescence spectrum; an average value of products of the threading dislocation densities in the nine circular regions and tangent values of the threading dislocation tilt angles is not greater than 1E6 cm?2; and a quotient of a difference between a maximum value and a minimum value of the products of the threading dislocation densities in the nine circular regions and the tangent values of the threading dislocation tilt angles divided by the average value is not greater than 50%.

Abstract: A clustering-based adaptive robust collaborative learning method includes: local models uploaded by a plurality of collaborative terminals and at least part of training data of the plurality of the collaborative terminals for training the local models are obtained, a trusted global model is trained based on the at least part of the training data; by taking trusted global model parameters as a trust guidance, a clustering operation is performed on each parameter dimension of the local models based on a predetermined optimal clustering algorithm respectively; and weights of the trusted local model parameters are determined based on similarities between the trusted global model parameters and the trusted local model parameters, to update the trusted global model parameters.

Abstract: Disclosed are devices, systems and methods for capturing an image. In one aspect an electronic camera apparatus includes an image sensor with a plurality of pixel regions. The apparatus further includes an exposure controller. The exposure controller determines, for each of the plurality of pixel regions, a corresponding exposure duration and a corresponding exposure start time. Each pixel region begins to integrate incident light starting at the corresponding exposure start time and continues to integrate light for the corresponding exposure duration. In some example embodiments, at least two of the corresponding exposure durations or at least two of the corresponding exposure start times are different in the image.

Abstract: A method includes: acquiring road data collected by a sensor, the road data including a first lane line, the first lane line including first datum points; acquiring a map corresponding to the road data, the map including a second lane line, the second lane line including second datum points; generating a road feature of a road corresponding to the road data based on the first lane line, the second lane line, and a projection relationship between the road data and the map; and inputting the road feature to a road detection model to obtain a result indicating whether the road has changed.

Abstract: The present invention relates to methods of preparing a therapeutic exosome using a protein newly-identified to be enriched on the surface of exosomes. Specifically, the present invention provides methods of using the proteins for affinity purification of exosomes. It also provides methods of localizing a therapeutic peptide on exosomes, and targeting exosomes to a specific organ, tissue or cell by using the proteins. The methods involve generation of surface-engineered exosomes that include one or more of the exosome proteins at higher density, or a variant or a fragment of the exosome protein.