Abstract: The present disclosure discloses a gene sequencing reaction device, a gene sequencing system and a gene sequencing reaction method. The gene sequencing reaction device includes: a supporting platform (8); a dipping container disposed on the supporting platform (8), wherein the dipping container has a dipping reaction area, and the dipping reaction area is configured to hold a chemical reagent for gene sequencing reaction, so as to dip a sequencing chip (2) having a DNA sample loading structure on the surface and having a DNA sample loaded thereon in the chemical reagent to perform a gene sequencing reaction; a temperature control apparatus, configured to control the temperature of the chemical reagent in the dipping reaction area; and a transfer apparatus, configured to insert the sequencing chip (2) into the dipping reaction area or pull out the sequencing chip from the dipping reaction area.

Abstract: Reversibly blocked nucleoside analogues and methods of using such nucleoside analogues for sequencing of nucleic acids are provided.

Abstract: The present disclosure proposes a modeling method and apparatus for diagnosing an ophthalmic disease based on artificial intelligence, and a storage medium. The modeling method includes: establishing a data collection of ophthalmic images and a data collection of non-image ophthalmic disease diagnosis questionnaires; training a first neural network model by employing the data collection of the ophthalmic images to obtain a first classification model; training a second classification model by employing the data collection of non-image ophthalmic disease diagnosis questionnaires; and merging the first classification model and the second classification model to obtain a target classification network model, in which, a test result outputted by the target classification network model is used as a diagnosis result of the ophthalmic disease.

Abstract: The invention provides compositions and methods for sequencing nucleic acids and other applications. In sequencing by synthesis, unlabeled reversible terminators are incorporated by a polymerase in each cycle, then labeled after incorporation by binding to the reversible terminator a directly or indirectly labeled antibody or other affinity reagent.

Abstract: Methods and systems of annotation densification for semantic segmentation are disclosed herein. In one example embodiment, such a method includes obtaining image information, obtaining coarse annotation information, performing an image matting operation based upon the image information and based at least indirectly upon the coarse annotation information, and applying an already-trained Convolutional Neural Network (ConvNet) semantic segmentation model in relation to the image information.

Abstract: The present invention provides a method for sequencing a nucleic acid using an immersion reaction protocol. The immersion reaction protocol comprises sequentially immersing a solid support having nucleic acid molecules immobilized thereon in different reaction containers to realize nucleic acid sequencing.

Abstract: The present disclosure relates to an encoding/decoding method, an encoder/decoder, and a storage method and device, which relates to the technical field of data storage. The encoding method comprises: determining a first bit of the encoded sequence based on a first bit of the first binary code sequence, a first bit of the second binary code sequence, and a reference symbol, the reference symbol being any one of the four different kinds of symbols; determining a current bit of the encoded sequence based on a current bit of the first binary code sequence, a current bit of the second binary code sequence, and a previous bit of the encoded sequence, the current bit of the encoded sequence being a bit other than the first bit of the encoded sequence.

Abstract: The present invention provides a method for improving the loading of nucleic acid on a solid support by contacting the solid support with a poloxamer-containing reagent. The present invention also provides a method for improving the stability of a nucleic acid on a solid support, comprising contacting a nucleic acid molecule with a partially double-strand oligonucleotide before or after loading the nucleic acid molecule on a solid support, so as to cause the nucleic acid molecule to hybridize with the oligonucleotide. The present invention also provides a combined use of the two methods.

Abstract: A QP mapping method is capable of preserving consistent visual quality across the encoded frame. It automatically assigns more bits to image blocks which are more sensitive to compression distortion. The texture-descriptive features employed for QP prediction are fast to compute and, together with a deep neural network, are able to effectively approximate the underlying QP mapping strategy deduced from a visual quality measure.

Abstract: Provided are a PCR primer pair and an application thereof. The PCR primer pair comprises a first primer and a second primer, wherein the first primer comprises a first specific sequence, a first random sequence, and a first universal sequence, the first specific sequence is located at the 3? end of the first primer, the first random sequence is located at the 5? end of the first primer, and the first universal sequence is located between the first specific sequence and the first random sequence; the second primer comprises a second specific sequence, a second random sequence, and a second universal sequence, the second specific sequence is located at the 3? end of the second primer, the second random sequence is located at the 5? end of the second primer, and the second universal sequence is located between the second specific sequence and the second random sequence, wherein the first random sequence and the second random sequence are inversely complementary.

Abstract: Methods and systems of annotation densification for semantic segmentation are disclosed herein. In one example embodiment, such a method includes obtaining image information, obtaining coarse annotation information, performing an image matting operation based upon the image information and based at least indirectly upon the coarse annotation information, and applying an already-trained Convolutional Neural Network (ConvNet) semantic segmentation model in relation to the image information.

Abstract: The present disclosure relates to the field of intelligent lawn mowers and logic control technologies thereof, and discloses a path planning method for an intelligent lawn mower. The path planning method includes: starting a touch panel of the intelligent lawn mower; entering a path planning setting interface, which displays a schematic diagram of a region to be mowed, a path angle indicating image and a path angle setting image; receiving a touch input of a user with respect to the path angle setting image to set a path angle; adjusting, based on the set path angle, the path angle indicating image for display; and re-planning a path of the intelligent lawn mower based on the set path angle and a preset algorithm. The present disclosure further provides a path planning system for the intelligent lawn mower.

Abstract: Provided is a PCR primer pair, comprising: a first primer and a second primer, wherein the first primer comprises a first specific sequence and a first random sequence; the first specific sequence is located on 3? end of the first primer, and the first random sequence is located on 5? end of the first primer; the second primer comprises a second specific sequence and a second random sequence, the second specific sequence is located on 3? end of the second primer, and the second random sequence is located on 5? end of the second primer; moreover, the first specific sequence and the second specific sequence are an upstream primer and a downstream primer directed to a target sequence respectively, and the first random sequence and the second random sequence are inverse complementary.

Abstract: The present invention provides genetic markers on human chromosome 6 that are associated with a beneficial response to a treatment that targets Clostridium difficile (C. difficile) toxin B (TcdB), e.g. a TcdB antibody. These TcdB treatment response markers are useful, inter alia, to identify patients who are most likely to benefit from treatment with a treatment that 5 targets TcdB in methods of treating patients having a disease susceptible to treatment with a TcdB antibody, and in methods for selecting the most appropriate therapy for such patients. The invention also provides antibodies, drug products, and kits useful with the TcdB Treatment response markers of the invention.

Abstract: Disclosed are a low molecular polypeptide for preventing and treating inflammation, a preparation method and the use thereof and a pharmaceutical composition containing the polypeptide, wherein the polypeptide can penetrate the eye tissue barrier, can maintain a high concentration in neutral tears, aqueous humour and vitreous humour, and can be used to treat inflammation.

Abstract: Various aspects of a system and method to process video based on quantization parameters are disclosed herein. In an embodiment, the method includes extraction of a plurality of features to capture texture information of an image block. A neural network regressor is trained to map the extracted plurality of features to determine an optimal quantization parameter. The image block is encoded by use of the determined optimal quantization parameter.

Abstract: Provided in the present invention is a method for constructing a single cell sequencing library, comprising the following steps: a) lysing a single cell to obtain a single cell lysate; b) separating the nucleus and the cytoplasm in the single cell lysate obtained in step a) to obtain a nuclear solution and a total RNA solution; and c) constructing a chromatin DNA library with the nuclear solution obtained in step b) to obtain a chromatin-accessibility sequencing library of the single cell; and constructing a transcriptome library with the total RNA solution obtained in step b) to obtain a transcriptome sequencing library of the single cell.

Abstract: Methods and systems involving convolutional neural networks as applicable for semantic segmentation, including multi-task convolutional networks employing curriculum based transfer learning, are disclosed herein. In one example embodiment, a method of semantic segmentation involving a convolutional neural network includes training and applying the convolutional neural network. The training of the convolutional neural network includes each of training a semantic segmentation decoder network of the convolutional neural network, generating first feature maps by way of an encoder network of the convolutional neural network, based at least in part upon a dataset received at the encoder network, and training an instance segmentation decoder network of the convolutional neural network based at least in part upon the first feature maps.

Abstract: Provided is a single fluorescent dye based sequencing method. Moreover, the present invention further provide modified nucleosides and nucleotides, and a kit comprising the nucleoside and/or nucleotide, particularly suitable for the sequencing method of the present invention. Additionally, the present invention further provides uses of the nucleoside, the nucleotide and the kit for sequencing.

Abstract: Automated nuclei area/number estimation utilizes a two-stage estimation framework-area estimation first followed by number estimation. After determining area information, each local patch's shape features are able to be extracted to define a local voting rule. The resulting voting score determines the strength of each local voting peak. The number of voting peaks is exactly the number of nuclei.