5results about How to "Efficient transformation" patented technology

This invention discloses a method for constructing and analyzing a genome-scale metabolic network model of *Paragonimus denitrifyingus*, belonging to the field of systems biology. The method includes: whole-genome annotation; obtaining global metabolic response data of *Paragonimus denitrifyingus*; automatically retrieving genomic information and constructing Model 1 based on the species code and genome annotation results of *Paragonimus denitrifyingus* in the KEGG database; constructing Model 2 by identifying homologous proteins in the *Paragonimus denitrifyingus* genome through homology searching of proteins in the target organism based on a pre-trained Hidden Markov Model; and integrating Model 1 and Model 2. This invention allows for the efficient design and modification of denitrification engineering, achieving precise control of nitrogen degradation processes. Compared to existing metabolic engineering methods, this invention effectively reduces the workload of exploratory experiments and greatly advances a deeper understanding of the nitrogen degradation characteristics of *Paragonimus denitrifyingus*.

The invention discloses a riverway water level and water quality integrated monitoring buoy system based on the Internet of Things, and relates to the technical field of riverway monitoring. Comprising the steps that a high-strength corrosion-resistant composite material is adopted, and a sealed cabin body and a buoyancy adjusting unit are arranged; a pressure sensor, a GPS positioning unit and a temperature compensation module are integrated, and the real-time riverway water level is calculated; a multispectral sensor, a water surface color acquisition unit and a cleaning unit are carried, and core water quality parameters are acquired; a camera and an infrared light supplementing unit are arranged, and an image is processed through an anti-interference algorithm; features are extracted based on deep learning, and static objects and dynamic pollutants are distinguished; dual-mode communication is adopted, and various monitoring data are transmitted; the cloud data processing module receives, fuses, analyzes and stores the data; a threshold value is preset, and early warning information is sent through multiple channels. Through multi-module collaborative optimization, monitoring data accuracy and environmental adaptability are improved, light shadow and water wave interference is effectively resisted, and accurate pollutant identification and water quality and blocking risk prediction and early warning are achieved.

This invention discloses a method for the direct oxidative carbonylation of methane to prepare acetic acid. Specifically, this invention provides a catalytic method for the preparation of acetic acid from methane, comprising the following steps: under solvent conditions, in the presence of light, an iron catalyst, chloride ions, and an oxidant, methane and carbon monoxide undergo a methane oxidative carbonylation reaction to obtain acetic acid. This method utilizes readily available methane, carbon monoxide, and air (or oxygen), employs an iron catalyst, and achieves direct, efficient, and highly selective acetic acid production via a one-step photocatalytic reaction, demonstrating promising application prospects. The substrate scope of this invention is broad, applicable to a range of chain and cyclic alkanes.

The application discloses a kind of mesoporous silicon carbon composite materials with multistage structure and preparation method and application, belong to silicon carbon negative electrode material synthesis technical field.The preparation method of the mesoporous silicon carbon composite materials with multistage structure includes the following steps: after mixing silicon powder and persulfate solution, oxidation treatment is carried out, then the obtained product is dispersed in oleic acid and surface modified, to obtain silicon@oleic acid dispersion liquid;Carbon source, citric acid, surfactant and initiator are pre-assembled in water, then the silicon@oleic acid dispersion liquid is added to carry out polymerization reaction, to obtain silicon@oleic acid@polymer precursor;Under inert atmosphere, the silicon@oleic acid@polymer precursor is carbonized, to obtain the mesoporous silicon carbon composite material with multistage structure.The material as lithium ion battery negative material can significantly improve the rate performance and cycle stability of lithium ion battery.

The present application provides a table image recognition method, device, equipment and medium, comprising: performing table line pixel marking on a to-be-recognized table image to obtain a semantic segmentation binary image; sequentially performing image correction, table line extraction and table line position determination on the semantic segmentation binary image to determine the position coordinates of the table line; determining the start and end row and column of a cell based on the position coordinates of the table line; performing single-character position segmentation on the to-be-recognized table image to determine character position information, which represents the position information of each character; and based on the start and end row and column and the character position information, aggregating the cells and the corresponding text content to generate a table file. The present application is used to solve the defect that the table detection and positioning are not accurate enough in the prior art, and to improve the accuracy of table detection and positioning.