Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for performing preflight checks of a distributed computing system, are described. In one aspect, a method includes assigning a computing workload to a first subset of hardware accelerator machines each having one or more hardware accelerators. A preflight check on the first subset is performed before performing the computing workload to verify the functionality of each machine in the first subset. For each hardware accelerator machine of the first subset, a program code package is installed, including a task action based at least in part on characteristics of the computing workload. The task action including a sequence of operations is performed on the hardware accelerator machine to determine whether the task action fails. Whenever the task action fails, the computing workload is re-assigned to a second subset of hardware accelerator machines different from the first subset.

Abstract: A method for manufacturing a nano pattern, includes: forming a pattern transfer layer on a base substrate having N imprint regions, and performing patterning processes on the pattern transfer layer to form an imprint pattern layer. A portion of the imprint pattern layer located in each imprint region is an imprint pattern, N imprint patterns are formed sequentially. Forming an i-th imprint pattern in an i-th imprint region includes: performing a patterning process on a portion of the pattern transfer layer located in the i-th imprint region to form the i-th imprint pattern; forming an i-th protective film on a side of the pattern transfer layer away from the base substrate; and removing at least a portion of the i-th protective film located in an (i+1)-th imprint region to obtain an i-th protective layer and expose a portion of the pattern transfer layer located in the (i+1)-th imprint region.

Abstract: The present disclosure provides a one-pot chemoenzymatic method for site-specific modification and conjugation of antibodies at their Fc glycan site to produce structurally well-defined antibody conjugates carrying defined drugs and other entities. The method is enabled by the discovery that certain endoglycosidases have the ability to both deglycosylate an antibody and to recognize selectively modified small disaccharide oxazolines for transglycosylation on antibodies without hydrolysis of the resulting products.

Abstract: A quick-mounting quick-release vehicle roof rack cross bar, comprising: a rack body, wherein a base is sleeved outside an end of the rack body, and the base is provided with a first abutting portion; a mounting plate, which is arranged on the base, wherein the mounting plate is provided with an arc groove and a transverse groove; a moving plate, wherein one end of the moving plate is movably connected to the arc groove, the other end of the moving plate is provided with a transverse shaft, the transverse shaft is movably connected to the transverse groove, and the moving plate is provided with a second abutting portion; and a locking plate, which is rotationally connected to the mounting plate, wherein an end of the locking plate is rotationally connected to the transverse shaft.

Abstract: The present invention provides an oral pharmaceutical composition and a usage thereof, comprising a pharmaceutically acceptable acidic medicinal auxiliary material whose surface is modified and dabigatran etexilate or pharmaceutically acceptable salts or aquo-complexes thereof. The present invention further provides a surface modification method for a medicinal auxiliary material.

Abstract: A system supporting one or more machine learning models may receive, via a cloud-based platform that supports a multi-tenant system, metadata associated with a set of electronic communication messages for a tenant of the multi-tenant system. The system may normalize the metadata by extracting fields of the metadata into a format readable by the machine learning model to identify a set of fraudulent users associated with the set of electronic messages. The system may utilize the machine learning model to identify the set of fraudulent users based on executing a set of detection models and performing pattern matching between a set of previously authenticated user activity logs and a set of newly generated user activity logs in the metadata. Upon detection of the set of fraudulent users, the system may generate and transmit a report indicating the set of fraudulent users and the respective electronic message corresponding to the respective fraudulent user.

Abstract: Provided in the present disclosure are a grating structure, a preparation method thereof and a display device. The preparation method of the grating structure includes: forming a plurality of first convex structures arranged in a first direction; and forming a first rubber material at least covering the plurality of first convex structures, and forming the grating structure including a plurality of second convex structures by using convex structures including the first convex structures and the first rubber material, wherein a surface of the first rubber material facing away from the first convex structures is a flat surface, and the convex structures including the first convex structures and the first rubber material are in one-to-one correspondence with the second convex structures, shapes of cross sections of the second convex structures in the first direction are triangles, and the second convex structures have at least one inclined flat surface.

Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for performing object detection. The system obtains a respective range image corresponding to each point cloud in a set of point clouds captured by one or more sensors. The system processes each range image using a segmentation neural network to generate range image features and a segmentation output. The system generates a feature representation of the set of point clouds from only the feature representations of the foreground points. The system processes the feature representation of the set of point clouds using a prediction neural network to generate a prediction characterizing the set of point clouds.

Abstract: A large-flux in-situ filtration device for marine microorganism based on a multi-channel circulation distributor is provided, comprising an energy and control module, a circulation distribution module, a filtration module, a pump module, a filtration volume measurement module, a pipeline connection, and a main body support frame. The circulation distribution module may include a multi-channel circulation distributor, a deep-sea servo motor, etc. The filtration module may include a plurality of filter film holders. The pump module may include a stainless steel gear pump, a deep-sea drive motor, etc. The filtration volume measurement module may include a water meter, a camera, and an LED light.

Abstract: The present disclosure provides a one-pot chemoenzymatic method for site-specific modification and conjugation of antibodies at their Fc glycan site to produce structurally well-defined antibody conjugates carrying defined drugs and other entities. The method is enabled by the discovery that certain endoglycosidases have the ability to both deglycosylate an antibody and to recognize selectively modified small disaccharide oxazolines for transglycosylation on antibodies without hydrolysis of the resulting products.

Abstract: Systems and methods for training and performing query answering for programming related query answering are disclosed. During a training phase, queries and answers of a training dataset may be encoded as vectors into the Euclidean space. Loss values for query-answer pairs, duplicate queries, and augmented queries may be determined using loss functions and may be used to adjust the model of the encoder. During the operation phase, a query may be received and encoded into the Euclidean space. The encoded answer most proximate to the encoded query may be decoded and provided as the most relevant answer.

Abstract: Automated fuzzy hash based signature collection is disclosed. A set of candidate fuzzy hashes corresponding to a set of false negative samples is received. A false positive reduction analysis is performed on the received set of candidate fuzzy hashes to generate a reduced set of fuzzy hashes. At least a portion of the reduced set of fuzzy hashes is clustered into a fuzzy hash cluster. A signature for a family of malware is generated based at least in part on the fuzzy hash cluster.

Abstract: Disclosed are an implement descending stability control method and system and a tractor. An outlet of a main pump is communicated with an inlet of a main overflow valve, an inlet of a constant-difference overflow valve and an inlet of an implement control valve. An oil outlet of the implement control valve is connected with a spring cavity of the constant-difference overflow valve through a steady-state throttle valve and is communicated with an inlet of a switching valve. An oil outlet of the switching valve is connected with a rodless cavity of a suspension cylinder in a suspension mechanism, and the rodless cavity of the suspension cylinder is communicated with an inlet of a descending valve. A rod cavity of the suspension cylinder is connected with an inlet of a secondary overflow valve.

Abstract: The present invention is related to a self-assembled nanoparticle containing a gB protein of an EB virus and a preparation method and use thereof. The self-assembled nanoparticle comprises a first polypeptide and a second polypeptide; the first polypeptide comprises the gB protein and a first vector subunit, the second polypeptide comprises a second vector subunit; the first vector subunit is I53-50A1, and the second vector subunit is I53-50B.4PT1. In the self-assembled nanoparticle, the gB protein of the EB virus is displayed on the surface of the nanoparticle for the first time. The particle size of the self-assembled nanoparticle is larger than that of the antigen gB, and the chemical stability of the self-assembled nanoparticle is higher than that of the antigen gB, and the binding capacity with the neutralizing antibody of the self-assembled nanoparticle are higher than that of the antigen gB.

Abstract: A method and a system for initial self-healing type classification of metallized film capacitors, which relate to the technical field of high-voltage capacitors.

Abstract: A light panel, includes: a printed circuit board (PCB); a light emitting element array, comprising a plurality of light emitting elements disposed on a first surface of the PCB and arranged in an array in a first direction and in a second direction; and a driving chip, disposed on a second surface of the PCB, which is opposite to the first surface; wherein the light-emitting element array comprises a light-emitting element sub-array, and orthographic projections of at least portion of light-emitting elements of the light-emitting element sub-array on the PCB are located outside an orthographic projection of the driving chip on the PCB. A display device is further provided.

Abstract: The present invention belongs to the field of tumor immunotherapy, and relates to a humanized monoclonal antibody that binds to VEGF. The present invention discloses nucleic acid sequences (including heavy/light chain variable regions) encoding said antibodies, and vectors, pharmaceutical compositions and kits containing said nucleic acid sequences. The antibody disclosed in the present invention can specifically bind to VEGF with high affinity and block the binding of VEGF to the receptor VEGFR2. Said antibodies also neutralize the proliferative effect of VEGF165 protein and multiple VEGF subtypes on HUVEC cells and can be used in clinical treatment of tumors, including but not limited to: colorectal cancer.

Abstract: A color film substrate and a method of manufacturing the same, a display substrate and a method of manufacturing the same and a display device are provided. The color film substrate includes: a base substrate; a plurality of pixel units arranged on the base substrate, each unit includes a plurality of sub-pixels; the pixel unit includes: a barrier including a first barrier arranged around a peripheral side of the pixel unit and a second barrier arranged between adjacent sub-pixels, and the plurality of sub-pixels include a first sub-pixel for color conversion and a second sub-pixel for scattering; a color conversion material layer arranged in the first sub-pixel; a scattering material layer arranged in the second sub-pixel; at least one of the first barrier and the second barrier is in a same layer as the scattering material layer (50), and has the same material as that of the scattering material layer.

Abstract: An optical path structure, an optical path system, and a transfer method. The optical path structure includes a beam adjustment module configured to adjust a diameter of a laser beam and output a first beam; a beam shaping module configured to perform energy homogenization on the first beam to obtain a second beam; and a beam focusing module configured to focus the second beam and output a target light spot; the target light spot is used for irradiating a device substrate, so that a bonding material in the device substrate changes after being irradiated by the target light spot, and a target device is separated from a carrier substrate; where the bonding material is disposed between the target device and the carrier substrate.

Abstract: A wind power generation quantile prediction method based on machine mental model and self-attention includes: using human cognitive decision-making mechanism for reference to construct the machine mental model as the basic framework of WQPMMSA, and then the seasonal power generation rules and intraday power generation trend are encoded into WQPMMSA as the input information of the prediction method, using the self-attention layer to replace the recurrent neural network in the original machine mental model, and establishing the statistical relationship between the seasonal power generation rules and the intraday power generation trend effectively, reducing the long-range forgetting of the original machine mental model-convert the continuous rank probability score in the integral form into a summation form, and using it as a loss function to train WQPMMSA, so that WQPMMSA approaches the optimal quantile prediction result with the highest efficiency.