Abstract: Provided is a method for biosynthesis of (R)-?-hydroxytetradecanoate compounds. The method comprises the following steps of: reacting ?-carbonyl tetradecanoate in a ketoreductase and a glucose dehydrogenase or a fusion enzyme thereof, glucose, NADP+ and a buffer solution to obtain (R)-?-hydroxytetradecanoate compounds. The method is an enzyme-catalyzed biosynthesis method having simple operations, conventional equipment and an environmentally friendly process, and the prepared product has high purity, high yield and a high ee value.

Abstract: A method includes forming a first portion of a spacer layer over a first fin and a second portion of the spacer layer over a second fin, performing a first etching process to recess the first portion of the spacer layer with respect to the second portion of the spacer layer to form first spacers on sidewalls of the first fin, subsequently performing a second etching process to recess the second portion of the spacer layer with respect to the first spacers to form second spacers on sidewalls of the second fin, where the second spacers are formed to a height greater than that of the first spacers, and forming a first epitaxial source/drain feature and a second epitaxial source/drain feature between the first spacers and the second spacers, respectively, where the first epitaxial source/drain feature is larger than that of the second epitaxial source/drain feature.

Abstract: The present invention discloses a ground inclination stereo profiling apparatus and method for a mechanical weeding component, and relates to the field of green agriculture. The ground inclination stereo profiling apparatus for the mechanical weeding component includes a rack assembly, an operation depth and inclination intelligent perception and feedback system, a hydraulic depth adjusting system and a control assembly.

Abstract: A storage circuit, a chip, a data processing method, and an electronic device are disclosed. The storage circuit includes: an input control circuit and a memory. The input control circuit is configured to: receive n input data and an input control signal; perform first data processing on the n input data based on the input control signal to obtain n intermediate data corresponding to the n input data one by one; and write the n intermediate data and a sign signal corresponding to the n input data into the memory; the memory is configured to store the n intermediate data and the sign signal; different values of the sign signal respectively represent different processing processes of the first data processing, and n is a positive integer.

Abstract: Systems and methods for deep neural network (DNN)-based cross component prediction are provided. A method includes inputting a reconstructed luma block of an image or video into a DNN; and predicting, by the DNN, a reconstructed chroma block of the image or video based on the reconstructed luma block that is input. Luma and chroma reference information and side information may also be input into the DNN to predict the reconstructed chroma block. The various inputs may also be generated using processes such as downsampling and transformation.

Abstract: An on-chip integrated circuit, a data processing device and a method are provided. The on-chip integrated circuit includes: a processor circuit and an accelerator circuit. The processor circuit includes a processor and a data storage area, the processor is connected to the data storage area through a first bus in the processor circuit. The accelerator circuit includes an accelerator and a second bus, the accelerator is connected to the second bus, and the second bus is bridged with the first bus corresponding to the data storage area, to perform data interaction between the accelerator and the data storage area, which can reduce the congestion on a bus of the processor and improve the quality of service of the application.

Abstract: Aspects of the disclosure provide a method, an apparatus, and a non-transitory computer-readable storage medium for video decoding. The apparatus can include processing circuitry. The processing circuitry is configured to receive an image or video comprising one or more blocks. The processing circuitry can decode a first post-filtering parameter in the image or video corresponding to the one or more blocks to be reconstructed. The first post-filtering parameter applies to at least one of the one or more blocks and has been updated by a post-filtering module in a post-filtering neural network (NN) that is trained based on a training dataset. The processing circuitry can determine the post-filtering NN in a video decoder corresponding to the one or more blocks based on the first post-filtering parameter. The processing circuitry can decode the one or more blocks based on the determined post-filtering NN corresponding to the one or more blocks.

Abstract: The present disclosure relates to a complex probiotic composition and a method for improving exercise performance of a subject with low intrinsic aerobic exercise capacity. The complex probiotic composition, which includes Lactobacillus rhamnosus GKLC1, Bifidobacterium lactis GKK24 and Clostridium butyricum GKB7, administered to the subject with the low intrinsic aerobic exercise capacity in a continuation period, can effectively reduce serum lactic acid and serum urea nitrogen after aerobic exercise, reduce proportion of offal fat and/or increase liver and muscle glycogen contents, thereby being as an effective ingredient for preparation of various compositions.

Abstract: A fingerprint spectrum construction method for a new compound aloe capsule and a fingerprint spectrum includes: (1) taking powder of a new compound aloe capsule, carrying out reflux extraction, adding methanol, carrying out ultrasonic treatment, filtering, and taking a subsequent filtrate as a test solution; dissolving barbaloin, aloe-emodin, indirubin, tryptanthrin, aloesin, and ?-sitosterol in methanol to obtain reference solutions; (2) injecting the test solution and the reference solutions into a high performance liquid chromatograph for gradient elution to obtain a chromatogram of the new compound aloe capsule and chromatograms of the reference solutions, respectively; and (3) labeling chemical components of peaks on the chromatogram of the new compound aloe capsule according to the chromatogram of the new compound aloe capsule and the chromatograms of the reference solutions to obtain a fingerprint spectrum of the new compound aloe capsule.

Abstract: This application relates to the field of lighting, and discloses an LED filament. The LED filament includes an LED chip unit, a light conversion layer, and an electrode. The light conversion layer covers the LED chip unit and part of the electrode, and a color of a light emitted by the LED filament after lighting is different from a color of the light conversion layer. This application has the characteristics of uniform light emission and good heat dissipation effect.

Abstract: Provided are transaminase mutants and uses thereof. The transaminase mutant is obtained by one or more amino acid mutations occurring in SEQ ID NO: 2 or is a mutant with a conserved amino acid mutation obtained by taking the sequence SEQ ID NO: 1 of a wild-type CvTA transaminase as a reference. Compared with wild-type transaminases, the catalytic activity of the mutant is improved to different degrees, so that the production efficiency of chiral amine compound synthesis may be improved.

Abstract: A method of manufacturing a light-emitting device, including: providing a substrate structure including a top surface; forming a precursor layer on the top surface; removing a portion of the precursor layer and a portion of the substrate from the top surface to form a base portion and a plurality of protrusions regularly arranged on the base portion; forming a buffer layer on the base portion and the plurality protrusions; and forming a III-V compound cap layer on the buffer layer; wherein one of the plurality of protrusions comprises a first portion and a second portion formed on the first portion; wherein the first portion is integrated with the base portion and has a first material which is the same as that of the base portion; and wherein the buffer layer contacts side surfaces of the plurality of protrusions and a surface of the base portion.

Abstract: A method and apparatus for neural network based cross component prediction with scaling factors during encoding or decoding of an image frame or a video sequence, which may include training a deep neural network (DNN) cross component prediction (CCP) model with at least one or more scaling factors, wherein the at least one or more scaling factors are learned by optimizing a rate-distortion loss based on an input video sequence comprising a luma component, and reconstructing a chroma component based on the luma component using the trained DNN CCP model with the at least one or more scaling factors for chroma prediction. The trained DNN CCP may be updated for chroma prediction of the input video sequence using the one or more scaling factors, and performing chroma prediction of the input video sequence using the updated DNN CCP model with the one or more scaling factors.

Abstract: This invention relates to the fields of mRNA vaccines, mRNA therapy, and gene therapy and specifically to the use of gene expression vectors or PCR amplicons containing various 5?UTR sequences followed by coding sequences for in vitro and in vivo production of mRNA or proteins of interest.

Abstract: The present application belongs to the technical field of solar cells, and relates to a p-type bifacial solar cell with partial rear surface field passivation and a preparation method therefor. The solar cell includes a p-type silicon substrate. At the bottom portion of the p-type silicon substrate are arranged, from top to bottom, a silicon oxide passivation layer, an aluminum oxide passivation layer and a rear side silicon nitride anti-reflection layer. A plurality of boron source-doped layers are embedded in the bottom portion of the p-type silicon substrate. Connected to the bottom of each of the boron source-doped layers is a rear side metal electrode layer, which penetrates each of the silicon oxide passivation layer, the aluminum oxide passivation layer and the rear side silicon nitride anti-reflection layer.

Abstract: In the present disclosure, a method for compressing a feature map is provided, where the feature map is generated by passing a first input through a deep neural network (DNN). A respective optimal index order and a respective optimal unifying method are determined for each of super-blocks that are partitioned from the feature map. A selective structured unification (SSU) layer is subsequently determined based on the respective optimal index order and the respective optimal unifying method for each of the super-blocks. The SSU layer is added to the DNN to form an updated DNN, and is configured to perform unification operations on the feature map. Further, a first estimated output is determined, where the first estimated output is generated by passing the first input through the updated DNN.

Abstract: A method and apparatus for neural network based cross component prediction with low-bit precision during encoding or decoding of an image frame or a video sequence, which may include reconstructing a chroma component based on a received luma component using a pre-trained deep neural network (DNN) cross component prediction (CCP) model for chroma prediction, and updating a set of parameters of the pre-trained DNN CCP model with low-bit precision. The method may also include generating an updated DNN CCP model for chroma prediction with low-bit precision based on at least one video sequence, and using the updated DNN CCP model for cross component prediction of the at least one video sequence at reduced processing time.

Abstract: A method of making a semiconductor device includes forming a first transistor on a substrate, wherein forming the first transistor comprises forming a first source/drain electrode in the substrate. The method further includes forming a second transistor on the substrate, wherein forming the second transistor comprises forming a second source/drain electrode. The method further includes forming an insulating layer extending into the substrate, wherein the insulating layer directly contacts the first source/drain electrode, and the insulating layer extends above a top-most surface of the substrate.

Abstract: A front light module includes a reflective display device, a front light guide, and a light emitting unit plate. The front light guide plate includes a micro-structure. The micro-structure has a first angle between a surface thereof close to the light emitting unit and an upper surface of the front light guide plate. The micro-structure has a second angle between a surface thereof away from the light emitting unit and the upper surface of the front light guide plate. The micro-structure has a third angle between the surface thereof close to the light emitting unit and the surface thereof away from the light emitting unit. The first angle is within a range between 30 degrees and 60 degrees, the second angle is within a range between 30 degrees and 59 degrees, and the third angle is greater than 90 degrees.

Abstract: A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.