14 results about "Proofreading" patented technology

The invention relates to the technical field of translation, and discloses a translation calibration method based on big data, which can accurately identify semantic deviation in a multi-meaning scene, for example, accurately judge that'cell 'should be translated into'cell' instead of'house 'in a biological text. The system can detect the language field mismatching problem of spoken expression in the official file, and provides term correction suggestions conforming to industry standards. Aiming at technical terms with multiple meanings in legal clauses, the calibration process can be combined with context window analysis to select an optimal translation scheme, the omission ratio of manual review is remarkably reduced, continuous optimization and cross-language knowledge sharing of a translation calibration model are realized, and the accuracy of translation calibration is improved. The problems that a traditional system is lagged in updating and low-resource language performance is insufficient are solved.

The invention is directed to methods for massively parallel template-free enzymatic synthesis of a plurality of different polynucleotides of predetermined sequences. In one aspect, methods of the invention employ large scale arrays of reaction sites each associated with at least one working electrode for controlling deprotection and deblocking steps at predetermined user selected sites. In another aspect, the invention provides template-free enzymatic synthesis with proofreading, wherein completed polynucleotides at predetermined reaction sites are sequenced using a sequencing by synthesis technique, particularly employing electrochemically labile blocking groups.

The present invention relates to a dual-probe detection reagent and a preparation method for detecting Salmonella typhimurium, and belongs to the field of food safety technology. The dual-probe detection reagent is composed of a magnetic separation probe reagent solution and a fluorescent nanozyme probe reagent solution, which are packaged separately; the magnetic separation probe reagent solution is used to specifically bind to Salmonella typhimurium and separate and enrich the test sample; the red fluorescent nanozyme probe reagent solution is used to specifically bind to the Salmonella typhimurium after separation and enrichment, and generate a Salmonella typhimurium concentration-dependent colorimetric signal and a fluorescent signal. The dual-probe detection reagent of the present invention has a short detection time and high detection sensitivity for the detection of Salmonella typhimurium, and has good specificity for common model strains. The present invention has a high specific surface area and excellent peroxidase-like activity, which enhances the high-sensitivity capture efficiency; the dual-modal signals of the present invention verify each other, play an internal proofreading role, and the detection results are accurate.

The invention relates to the technical field of electric digital data processing, and discloses a semantic depth proofreading and man-machine rechecking method and system based on a large model and knowledge graph traceability, and the method comprises the steps: constructing a knowledge field vector index composed of authoritative facts; calculating the vector of the fact assertion to be corrected and the gravitational gradient thereof in the knowledge field; according to the method, a preposed risk quantification mechanism is established, so that a traditional post-verification mode is avoided, computing resources can be dynamically allocated to high-risk assertion, hidden errors which do not accord with a fact basis are recognized in a semantic level, and the risk classification is carried out according to the gradient, so that the subsequent deep analysis process is differentially started or skipped. And the proofreading efficiency and quality are improved.

To improve the convenience of data of character character-recognized.SOLUTION: A system for proofreading a sentence includes a server device having a control unit 300 comprising an OCR processing section that recognizes a character and extracts a text included in an image, a proofreading processing section that inputs a first input sentence including an extracted text and first instruction information instructing to correct a wrong character of the text to a first generative AI functioned to perform outputting matched with an instruction content of the first instruction information and acquires a first output sentence outputted from the first generative AI correspondingly to the first input sentence, an additional-information generation processing section that inputs a second input sentence including the first output sentence acquired by the proofreading processing section and second instruction information instructing to generate additional information representative of a feature of the first output sentence to a second generative AI functioned to perform outputting matched with an instruction content of the second instruction information and acquires a second output sentence outputted from the second generative AI correspondingly to the second input sentence, and a data-provision processing section that outputs the first and second output sentences.SELECTED DRAWING: Figure 6

Regarding a fusion protein comprising a Cas protein and a bacterial toxin and its use, the fusion protein, its polypeptide, and a CRISPR-Cas system comprising them according to one embodiment enable effective base proofreading. Furthermore, the polypeptide is small in size, making it easy to deliver via a vector. This significantly increases indel efficiency when indels are induced, and the size of the nucleotide at which indels are formed also increases, making it effective for gene knockout.

This invention discloses a deep learning-based intelligent text proofreading method and system, belonging to the field of intelligent proofreading technology. The method includes acquiring a preprocessed text sequence and spatial distribution coordinates, extracting semantic vectors and knowledge vectors, constructing a spatial topology graph to extract spatial vectors, generating a feature matrix, using a supervised contrastive learning strategy to obtain optimized error detection and correction parameters, loading the error detection and correction parameters into the sequence error detection model and semantic correction model respectively, outputting the error detection distribution and correction distribution, comparing entity features with a global memory database to output a consistency score, and weightedly fusing the error detection distribution, correction distribution, and consistency score to determine the proofreading result. This invention integrates spatial layout awareness, domain knowledge graph enhancement, and cross-paragraph global consistency verification into a dual-path architecture, solving problems such as typesetting interference, lack of professional background, and logical conflicts, achieving accurate differentiation of confusing characters, and ensuring the logical rigor of document content.

Presented arc two new methods, single primer extension reaction (SSPER) and reduce recycle PCR (rrPCR). These methods have a step that easily removes the oligonucleotide primer(s) after the first reaction, thus, allowing for the addition of a second reaction in chronological sequence to generate and isolate the appropriate DNA product with the site-directed mutation(s). A high efficiency of the methods is demonstrated by generating all ten site-directed mutations and six paired combinations of these mutations on four plasmid DNA templates ranging from 10 to 12 kb and 57 to 59% GC-content at a rate of 50-100%. The methods are i) highly accurate allowing for screening of plasmids by DNA sequencing, ii) streamlined to generate the mutations within a single day, iii) cost-effective in requiring only two primers and two enzymes (Dpnl and a proofreading DNA polymerase), iv) straightforward in primer design, and v) applicable for both large and small plasmids.

The invention discloses a Bsm DNA polymerase mutant with enhanced tolerance and application of the Bsm DNA polymerase mutant, and belongs to the technical field of biology. On the basis of completely retaining 5 '-> 3' polymerase activity and 3 '-> 5' exonuclease proofreading activity, the mutant obviously improves the tolerance to inhibitors, wide pH range, high salt concentration and repeated freeze thawing. The mutant can directly perform high-efficiency and high-fidelity amplification on target nucleic acid in complex samples such as whole blood, soil and excrement containing various inhibitors, a nucleic acid purification step in advance is not needed, and the operation process is greatly simplified. The invention provides a core enzymology tool for pathogen rapid molecular diagnosis, on-site instant detection and difficult template cloning in a high inhibitor environment, and has important application value.

The present application relates to chimeric DNA polymerases and methods of making the same. The chimeric DNA polymerases comprise 2-8, e.g., 3, domains or segments derived from different polymerases. The chimeric DNA polymerases of the present application have improved properties, e.g., superior extension properties, superior DNA binding properties, superior proofreading activity, superior fidelity, faster amplification speed, superior tolerance to inhibitors, superior long fragment amplification ability, etc.

The present invention discloses a biomarker for the detection of bile duct cancer and its application. The biomarker combination for the detection of bile duct cancer of the present invention includes a DNA+RNA dual-level detection of tumor tissue samples, detecting a wide range of genetic variations, including single nucleotide variations (SNVs), insertions and deletions (indels), copy number variations (CNVs), gene fusions (Fusion) and microsatellite instability (MSI), with more comprehensive detection; at the same time, the biomarker combination also includes a site combination for identifying potential sample contamination or contamination, which can achieve matching and proofreading of DNA+RNA samples, making the detection more accurate; the biomarker combination of the present invention can be used for the diagnosis, treatment, prognosis and other stages of the occurrence and development of bile duct cancer, laying the foundation for comprehensive and systematic detection and research of bile duct cancer.

The invention discloses a constructive formalized verification system of a ribosome circulation mechanism, which belongs to the field of molecular biology calculation verification, deduces and translates a full-cycle biological entity from uniformity through symmetric breaking and the like, and encodes the stages of translation starting, extension proofreading, termination, circulation and the like through a state radiation sequence. And realizing complete-cycle unified verification by combining odd complement operators and the like, and mapping into an electronic circuit. Corresponding between a biological mechanism and a number theory is established through the Langlands theory, and accuracy is guaranteed; gTP consumption is optimized through constructive energy accounting, and energy efficiency is achieved. The system can be applied to the fields of pharmaceutical synthesis, mRNA vaccine design and the like, provides a high-fidelity optimization scheme, and is matched with a hardware accelerator to improve verification efficiency. The system solves the problems that the prior art is lack of a formalized framework and depends on empirical parameters, has constructive completeness, hardware realizability and commercial expandability, can shorten supervision and approval time, and provides reliable theoretical and practical support for related fields.

The application relates to the technical field of electric digital data processing, and discloses a semantic depth proofreading and man-machine rechecking method and system based on a large model and a knowledge graph traceability, which comprises the following steps: constructing a knowledge field vector index composed of authoritative facts; calculating the vector of a fact assertion to be proofread and the gravitational gradient of the fact assertion in the knowledge field; and performing risk grading according to the gradient, so that the subsequent depth analysis process is started or skipped in a differentiated manner. Through the establishment of a prepositive risk quantification mechanism, the application avoids the traditional post-validation mode, can dynamically allocate computing resources to high-risk assertions, and can identify implicit errors inconsistent with the fact basis at the semantic level in advance, thereby improving the proofreading efficiency and quality.