105 results about "Molecular network" patented technology

The invention provides a large model lightweight reasoning deployment method under limited hardware resources, and the method comprises the steps: quantifying the weight importance of a large model through a composite index of gradient sensitivity and activation frequency, and carrying out pruning operation in combination with an improved index weighted moving average strategy, thereby obtaining a structured sparse model; the sparse model is divided into sub-networks by adopting double rules, a routing decision network is trained, and an adaptive feature shunting architecture model is constructed; a multi-precision weight set is generated through a nested quantization technology, quantization bit width is dynamically adjusted, and edge equipment hardware parameters are adapted to complete reasoning environment initialization; after a reasoning request is received, an optimal sub-network is selected based on the trained routing decision network, corresponding weights are loaded in parallel, and a reasoning result is fused and output; and converting a reasoning result format, and dynamically optimizing a scheduling strategy based on a system real-time monitoring index. The method is compatible with a mainstream large model and a hardware platform, and an efficient and universal deployment scheme is provided for end-side AI engineering landing.

The invention discloses a method for improving beef quality, an action mechanism and an experimental method, in a cattle body, vitamin A can activate the expression of EBF2 through an active metabolite RA of the vitamin A, and the EBF2 can inhibit the transcription process of CYP26B1 in a targeted manner to maintain the activity of a retinol signal channel, so that PPAR gamma and downstream lipid metabolism related genes thereof are activated, and the activity of the retinol signal channel is improved. Fatty acid transport and lipid accumulation in fat cells in the cattle muscle are promoted, fat deposition in the cattle muscle is promoted, and the beef quality is improved. By constructing the molecular network for regulating and controlling the formation of the fat in the cattle muscle, a complex regulation and control mechanism for controlling the fat deposition in the cattle muscle can be understood more deeply, a method for improving the beef quality based on regulating and controlling the vitamin A mediated key factor EBF2 is provided, and a new way is provided for improving the beef quality in a targeted manner.

The invention provides a multi-modal characterization molecular property prediction method based on hierarchical bidirectional cross attention, and relates to the technical field of machine learning assisted organic chemistry, and the method comprises the following steps: S10, generating same-molecule multiple sequences for data enhancement; s20, coding the sequence features through a pre-trained molecular language model MolBERT; s30, performing multi-modal feature fusion through a layered bidirectional cross attention mechanism; s40, establishing a prediction head; s50, in the reasoning stage, only the feature extraction and fusion steps are executed, and a molecular property prediction result is output through the trained prediction head. According to the method, the molecular sequence, the topological graph structure and the fingerprint features are effectively integrated, so that the prediction precision of the model on a plurality of MoleculeNet (molecular network benchmark) public data sets is superior to that of an existing method.

The invention belongs to the technical field of honey analysis, and particularly relates to a method for analyzing characteristic chemical components of Qinling Mountain medium-peak honey. The analysis method comprises the following steps: obtaining different extraction layers, and carrying out mass spectrometry on each layer of sample; constructing a molecular network by mass spectrum data through a GNPS platform, and comparing the mass spectrum data with a database to obtain primary identification; unmatched nodes predict the skeleton by using an NAP tool to obtain a secondary result; then fractions are separated, and an unknown structure is deduced by combining an SMART technology with nuclear magnetism; and finally, synthesizing the three types of results to determine the characteristic chemical components of the honey. Compared with a single chromatography-mass spectrometry technology, the analysis method provided by the invention not only realizes data visualization, but also reduces the dependence of chemical component identification on a database to a certain extent, and provides reference for rapid characterization of chemical components in a honey crude extract or fraction.

The invention discloses a flexible packaging material and a preparation method and application thereof. The flexible packaging material comprises a sandwich structure formed by sequentially stacking a polymer elastomer with a viscoplastic surface layer, a self-adaptive gas barrier layer and a polymer elastomer with a viscoplastic surface layer, wherein the viscoplastic surface layer of the polymer elastomer consists of a non-polar viscoelastic molecular network and a plastic polar polymer microdomain; the self-adaptive gas barrier layer is at least one of liquid metal, hygroscopic gel and viscous hygroscopic liquid; and the viscoplastic surface layers of the upper and lower polymer elastomers are respectively contacted with two surfaces of the self-adaptive gas barrier layer, so that a sandwich structure is formed. The flexible packaging material not only can be flexibly stretched, but also has ultrahigh gas barrier property, and has important significance and value for promoting the practical application and industrialization process of flexible electronic devices.

The invention discloses a high-performance ionic piezoelectric hydrogel system based on molecular network reconstruction and micro-nano structure coordinated regulation and an establishment method thereof, and the establishment method comprises the following steps: S1, mixing acrylamide, polyacrylamide, sodium gluconate and polyvinyl alcohol to prepare a pre-polymerized solution, and adding HCl into the pre-polymerized solution to obtain a mixed solution system; and S2, carrying out gradient cross-linking and ultraviolet curing on the mixed solution system to obtain the high-performance ionic piezoelectric hydrogel system based on molecular network reconstruction and micro-nano structure coordinated regulation. The sensitivity is improved by 66%, and the problem that a traditional material is insufficient in response to weak biological signals (such as pulse micro-vibration) is solved.

The invention discloses yeast protein nutritional gel and a preparation method thereof, and belongs to the technical field of protein gel. Comprising the following steps: adding dialdehyde starch into a yeast protein solution, then sequentially adding EDC and NHS, fully mixing, and standing to obtain stable gel. The invention has the following technical effects: (1) the formation of a closer molecular network structure between YP and DS can be effectively promoted; (2) the mechanical property of the gel system is obviously improved; (3) an external structure is not introduced, and safety and environmental friendliness are achieved; and (4) rapid reaction can be realized under a mild low-temperature condition.

The invention belongs to the technical field of biological information, and particularly relates to a cancer molecular subtype recognition method based on self-adaptive pellet multi-view image clustering. The method comprises the following steps: acquiring a multi-omics data set of cancer molecules, and constructing a pellet set for each kind of omics data in the multi-omics data set; constructing a biological network structure chart according to the particle ball set; fusing the biological network structure diagrams of the omics data to obtain a unified graph; inputting the unified graph into a pre-trained heterogeneous graph neural network for processing to obtain a cancer molecular subtype recognition result; according to the method, multi-scale biological structure features in multiple omics data can be captured at the same time, collaborative optimization of molecular network topology and patient characterization is achieved, and therefore the accuracy of cancer molecular subtype recognition results is improved.

The invention discloses a low-odor regenerated polypropylene composite material as well as a preparation method and application thereof, and belongs to the technical field of polymer composite materials. Comprising the following raw materials in parts by mass: 10-78 parts of polypropylene, 10-50 parts of regenerated polypropylene, 0-20 parts of an inorganic filler, 2-15 parts of a toughening agent, 0.5-2 parts of an isocyanate coupling agent, 1-3 parts of an odor adsorbent, 0.1-0.5 part of an initiator and 0.5-2 parts of a processing aid. By adding an isocyanate coupling agent, in the extrusion granulation process, an isocyanate group (-NCO) and hydroxyl (-OH) or amino (-NH2) or carboxyl (-COOH)-containing micromolecules remaining in regenerated polypropylene or generated in the extrusion process are subjected to an addition reaction to form urea bonds or urethane bonds, and a plurality of micromolecules are cross-linked to form a macromolecular network; the small molecules with odor are captured, so that the content of emitted substances is reduced; in addition, small molecules are further adsorbed by cooperatively utilizing an odor adsorbent, and the low-emission regenerated polypropylene composite material is prepared.

The invention discloses a corrosion-resistant ABS plastic and a preparation method thereof, and relates to the technical field of ABS preparation, the corrosion-resistant ABS plastic comprises the following raw materials by weight: 80-100 parts of modified ABS, 5-8 parts of modified graphene and 0.02-0.05 part of a Karst catalyst, in the melt extrusion process of the modified ABS, the modified graphene and the Karst catalyst, the modified ABS, the modified graphene and the Karst catalyst are subjected to melt extrusion to obtain the corrosion-resistant ABS plastic. Si-H bonds on the modified ABS and double bonds on the modified graphene are grafted to further form more crosslinking points, so that a more compact three-dimensional network structure is formed between a modified ABS molecular chain and the modified graphene, a two-dimensional lamellar structure of the modified graphene can form a uniform covering layer in a modified ABS matrix, and a fluorine-containing polysiloxane chain segment is embedded in a molecular network, so that the fluorine-containing polysiloxane-modified ABS composite material has the advantages that the fluorine-containing polysiloxane-modified ABS composite material is more excellent in heat resistance and heat resistance, and the service life of the fluorine-containing polysiloxane-modified ABS composite material is prolonged. The surface tension of the material surface is obviously reduced, the contact between a corrosive medium and the material surface is reduced, and the corrosion resistance of the material is further improved.

The invention belongs to the field of rape breeding, and particularly discloses a sclerotinia rot resistance related gene BnaCLE20 of rape and application of the sclerotinia rot resistance related gene BnaCLE20 in rape breeding. The sequence of the BnaCLE20 gene is as shown in SEQ ID NO. 1, and the coded protein is as shown in SEQ ID NO. 2; the BnaCLE20 gene of the brassica napus is identified to be capable of regulating the sclerotinia rot resistance of the brassica napus for the first time, a molecular network for regulating the sclerotinia rot resistance of plants is enriched, and the BnaCLE20 gene plays an important role in researching a molecular mechanism formed by the disease resistance of the plants. The overexpression of the BnaCLE20 gene disclosed by the invention can reduce the content of active oxygen, malondialdehyde and oxalic acid in rape leaves infected by sclerotinia sclerotiorum; meanwhile, the activity of catalase in the rape leaves infected by sclerotinia sclerotiorum is enhanced; the sclerotiniose resistance of the oilseed rape is remarkably improved, and the method has important significance in guaranteeing the high and stable yield of the oilseed rape by improving the sclerotiniose resistance of the oilseed rape.

The invention discloses a yellow rice wine quality detection and analysis method, which comprises the following steps: (a) grouping a plurality of yellow rice wine samples according to whether caramel color is added or not, and the years in each group are the same in a one-to-one correspondence manner; a plurality of parallel samples are taken from each wine sample, detection is performed through a QTOF high-resolution mass spectrometer, effective information of TOF MS and TOF MS / MS is obtained through one-time sample introduction in a DBS-IDA collection mode, and high-resolution first-level and second-level mass spectrum data are obtained; (b) analyzing by adopting SCIEX OS software, and identifying a plurality of compounds according to an SCIEX database and literatures; the structure is identified through a GNPS molecular network technology, and SCIEX OS is used for further verification and confirmation of a plurality of other compounds; and (c) carrying out difference analysis through PLS-DA. According to the method, the influence of the caramel color additive and the aging year on the yellow wine quality can be scientifically and comprehensively analyzed, and a basis is provided for yellow wine quality evaluation and quality control.

The invention relates to picrasma quassioides bitter taste element compounds in Chinese picrasma quassioides as well as a preparation method and application thereof, belongs to the technical field of medicines, and particularly relates to 19 picrasma quassioides bitter taste element compounds obtained from branches and leaves of the Chinese picrasma quassioides on the basis of a molecular network annotated with Mzmine and DeepMass from picrasma quassioides which belongs to picrasma quassioides. They structures and configurations are determined by spectral analysis, quantum chemistry calculations, and comparisons of experimental ECD and computational data. In addition, the food refusal activity of all the compounds to plutella xylostella has been assessed, and the food refusal activity of all the compounds to plutella xylostella has been assessed. Wherein part of the compounds show medium antifeedant activity to plutella xylostella. The preparation method is simple and good in reproducibility, and the obtained compound is high in purity.

This invention provides a system and program that facilitates the process of generating and / or visualizing molecular networks for library molecular structure content. [Solution] In system 500, the molecular network generation system 502 for library molecular structure content includes an evaluation component 512 that performs a comparison between a first molecular fingerprint including first molecular structure data of a first molecular structure and a second molecular fingerprint including second molecular structure data of a second molecular structure, and a visualization component 516 that generates display data that visualizes a representation of the structural similarity score obtained from the first molecular structure, the second molecular structure and the comparison. The representation by the visualization component includes edges corresponding to the structural similarity score that extend between pairs of nodes corresponding to the first molecular structure and the second molecular structure.

The invention discloses a molecular network modified composite solid electrolyte as well as a preparation method and application thereof. The composite solid electrolyte is prepared from the following raw materials in percentage by weight: 5wt%-30wt% of solute salt, 5wt%-80wt% of inorganic filler and 10wt%-80wt% of a polymer matrix, and the polymer matrix consists of a compound A, a polymer B and a polymer C in a mass ratio of 10: 1: (1.5-4.5). The invention also specifically discloses a preparation method of the composite solid electrolyte and an application of the composite solid electrolyte in preparation of a lithium metal battery. The composite solid electrolyte prepared by the invention has high ionic conductivity and smooth morphology, and can be fully contacted with an electrode to realize stable circulation when being applied to a lithium metal battery.

This application relates to the field of polymer materials technology, providing a PET elastomer, composite material, dynamic covalent network polymer, and its preparation method and application. The elastomer is prepared by in-situ self-assembly of crown ether-primary amide dual-functionalized PET through melt blending. Its molecular network integrates a quasi-rotaxane supramolecular crosslinking network. This structure is formed by the host-guest interaction between the crown ether and the primary amide, and can act as a sliding crosslinking point to dissipate energy through the sliding of cyclic components. This application employs a two-step end-capping-in-situ self-assembly process to overcome the technical obstacles of low PET chain-end activity and poor compatibility between polyrotaxane and PET, achieving molecular-level dispersion of quasi-rotaxane in the PET matrix. This fully utilizes the molecular pulley effect to achieve breakthrough toughening of the elastomer. Simultaneously, it combines rigid nanofillers modified with aminosilane coupling agents to form a soft-hard synergistic network, enabling the PET composite material to maintain high toughness while simultaneously improving strength, modulus, and thermal properties.

The invention relates to the technical field of medical biology, and discloses a traditional Chinese medicine quality marker screening method and an angelica dahurica variety quality marker group, the traditional Chinese medicine quality marker screening method and the angelica dahurica variety quality marker group comprise the following steps: respectively crushing, extracting and detecting a newly bred angelica dahurica variety and a farm variety; carrying out pretreatment on mass spectrum data by adopting MZmine 2.5 software; and the coumarin components are screened by adopting a multi-stage mass loss window. According to the traditional Chinese medicine quality marker screening method and the angelica dahurica variety quality marker group, through integration of ultra-high performance liquid chromatography-tandem mass spectrometry and polygon quality defect filtering, extended virtual molecular formula library screening, characteristic molecular network, network annotation transmission and other calculation strategies, a plurality of coumarin components are successfully annotated; and multivariate statistical analysis is adopted, so that the quality marker of the newly cultivated angelica dahurica variety is obtained.

The invention discloses a drug collaborative screening system based on artificial intelligence prediction and metabonomics verification, and belongs to the technical field of artificial intelligence and bioinformatics crossing. Comprising a multi-source data acquisition and feature fusion module, an artificial intelligence prediction module, a drug screening and visualization module, a metabonomics verification module and a feedback optimization and self-learning module. According to the invention, through multi-modal data integration and feature coding, unified modeling of a drug-disease-molecule network is realized; drug combination synergistic effect prediction is realized through an artificial intelligence algorithm; a prediction result is verified by using non-targeted metabonomics data, and the mechanism interpretability of the model is enhanced; a technical system capable of realizing closed-loop optimization is constructed, and an algorithm and experiment dual-verification platform is provided for drug discovery and precision medicine.

The invention discloses a method for automatically identifying new pollutants and structural analogues thereof in environment complex samples, which comprises the following steps of: firstly, analyzing co-occurrence of abundance of substances among samples by using a Pearson's correlation coefficient, and introducing program blank deduction and IQR-Fisher Z transformation abnormal value processing to improve reliability; then, a molecular network is constructed based on high correlation and spectrogram similarity, and cracking products in the source are filtered. Key points are as follows: an iterative annotation strategy is adopted: a candidate structure is obtained from a PubChem database according to m / z of a substance to be annotated, preliminary screening is performed by calculating a Tanimoto coefficient of a Morga fingerprint, or advanced annotation is performed in combination with predicted MS / MS spectrogram fragment matching of a Top-k candidate, and the substance which is successfully annotated is taken as a new round of seed compound, so that automatic recursive expansion of an annotation range is realized. According to the method, the dependence of a traditional method on a standard spectrogram is effectively overcome, and efficient and automatic identification of pollutants with novel structures and analogues thereof is realized.

The present invention discloses a neural network streamlining and optimization method and system for drone target recognition, which belongs to the field of drone end-side target detection and recognition. The specific steps are as follows: obtaining video data covering work scenes and target types from the drone end-side platform; transmitting the video data back to the cloud, and using the open vocabulary visual large model for inference and calibration of target categories; transmitting the calibration results back to the drone end-side platform, and combining them with the video data to form a data set; loading a super network on the drone end-side platform, and performing multiple iterative training based on a specific update strategy to optimize the super network; extracting some sub-networks from the optimized super network for forward reasoning and performance evaluation, and selecting the optimal sub-network; using the optimal sub-network as a target detection model for real-time drone detection. This method combines the cloud-based open vocabulary visual large model and the drone end-side platform to achieve efficient target detection under low power consumption, and is applicable to a variety of scenarios.

The invention relates to the technical field of polymer thermoelectric composite materials, in particular to a heat tracing band, which comprises an outer insulating layer, a shielding layer, an inner insulating layer and a conductive core band, and is characterized in that the conductive core band comprises two conductive buses arranged in parallel and a PTC (Positive Temperature Coefficient) composite material coating the conductive buses; the PTC composite material comprises the following components in parts by weight: 180-220 parts of carbon black-carbon fiber composite conductive powder, 600-700 parts of linear low density polyethylene, 50-100 parts of an ethylene-octylene copolymer, 2-4 parts of an antioxidant and 1-3 parts of an ultraviolet light absorber. According to the invention, the ethylene-octene copolymer long-chain branch and the linear low-density polyethylene chain segment are entangled to form a special molecular network; at low temperature, linear low-density polyethylene ensures that the structure is stable, and an ethylene-octylene copolymer flexible chain segment absorbs impact and relieves low-temperature brittleness; at high temperature, the molecular chain of the former is anchored by the long-chain branch of the latter, the sliding of the chain segment is blocked, and a proper amount of balance toughening and heat-resisting agent is added, so that the heat deformation temperature is increased, and the material softening is delayed.

The application discloses a method for distinguishing different base original Phellinus baumii and application. The method comprises the following steps: pretreating Phellinus baumii samples; collecting data in a data-independent mode by using UPLC-Q-TOF-MSE, constructing FBMN and visualizing the collected data, and obtaining a molecular network graph of each Phellinus baumii; collecting data of different base original Phellinus baumii, constructing FBMN and visualizing the data, and obtaining a molecular network graph of the Phellinus baumii samples; and finally comparing the molecular network graph of the Phellinus baumii samples with the molecular network graph of each Phellinus baumii sample, so as to determine whether the Phellinus baumii samples belong to the same base original. The application combines UPLC-Q-TOF-MSE with data-independent mode data collection, realizes FBMN construction of Phellinus baumii and distinction of different base original Phellinus baumii, and can also distinguish the content of specific components in different base original Phellinus baumii, thereby providing a new thought and method for base original identification and component utilization of Phellinus baumii.

The invention discloses in-situ polymerization low-temperature curing ink-jet ink which comprises ink A and ink B. The ink A at least comprises an initiator and deionized water, and the ink B at least comprises a sensitizer, a carbon-carbon double-bond water-soluble monomer, a carbon-carbon double-bond resin water-based dispersion and deionized water. The persulfate initiator in the ink A generates free radicals under the action of the ferrous sulfate sensitizer in the ink B, the free radicals initiate in-situ polymerization reaction to form a polymer network structure, pigment is firmly fixed to the surface of fiber, it is ensured that the initiator and the sensitizer start to react only when making contact, and the color fastness of the pigment is improved. The problem that the ink is unstable in the storage process is solved, and the curing speed is high. According to the invention, the use of an ultraviolet lamp is avoided, and light pollution and ozone pollution generated by the ultraviolet lamp in the environment are reduced. And compared with a UV photoinitiator with aromatic groups, a product obtained by reacting the applied persulfate is safer to a human body, and the method is a more environment-friendly printing scheme.

The invention discloses a method for analyzing chemical components in Liujin antipyretic granules, the method is based on an ultra-high performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry technology, and the method belongs to the technical field of traditional Chinese medicine component analysis and detection. And the mass spectrum response of each chemical component under the determined mass spectrum condition is high. The method comprises the following steps: comparing obtained mass spectrum data with a reference substance, identifying 117 chemical components in total by combining a self-established database and a mass spectrum cracking rule, constructing a feature-based molecular network by utilizing a GNPS platform based on a feature table and MS / MS spectrogram information, and inferring potential compounds through the relevance of structural clusters in the molecular network. The chemical composition of the Liujin antipyretic granules is more comprehensively clarified, and a chemical basis and theoretical support are provided for effective component identification, quality evaluation and pharmacological mechanism research of the Liujin antipyretic granules.

The invention relates to the technical field of probiotics, in particular to probiotics adopting a composite gel system and a preparation method of the probiotics, and the probiotics comprise the following components in percentage by mass: 2-6% of an HMPC solution, 8-20% of fructo-oligosaccharide, 5-15% of inulin, 0.2-1.5% of an ionic cross-linking agent, 0.5-1% of silicon dioxide and the balance of probiotic freeze-dried powder. According to the invention, HPMC (hydroxypropyl methyl cellulose), fructo-oligosaccharide, inulin and an ionic cross-linking agent are cooperatively constructed, and HPMC is compounded with fructo-oligosaccharide and inulin, so that a molecular network with different hydrogen bond densities and hydrophilicity can be formed, and a three-dimensional matrix structure of a cellulose-based skeleton, oligosaccharide branched chains and calcium ion cross-linking points is constructed; the compactness and the stability of a gel system in gastric acid are remarkably improved through the dual effects of intramolecular hydrogen bonds and Ca < 2 + > ion bridges in the ionic cross-linking agent.

The application discloses a comprehensive detection method and system for neonicotinoid compounds in an environment, and is characterized in that: the coverage of mass spectrum information is improved based on coupling of a multi-module data-dependent acquisition mode and a multi-window data-independent acquisition mode; a suspected screening analysis database is established based on a core structure of neonicotinoid compounds; compounds matched with the suspected screening compounds are detected; and the neonicotinoid compounds in the environment sample to be detected are subjected to non-target analysis based on coupling of a feature molecule network technology in the data-dependent acquisition mode and a feature fragment ion extraction technology in the data-independent acquisition mode, so as to back-propagate candidate compounds different from the target compounds and the suspected screening compounds; and the comprehensive detection of potential neonicotinoid compounds in the environment sample to be detected is realized through target analysis, suspected screening analysis and non-target analysis.

This invention belongs to the field of polymer functional materials technology, specifically relating to a high-strength and wear-resistant FC composite material for tarpaulins and its preparation method. The FC composite material comprises the following raw materials in parts by weight: 100 parts of 80A resin, 10-15 parts of fluorosilicone rubber, 3-5 parts of cyclosiloxane, 2-4 parts of MQ silicone resin, 1-2 parts of DES, 7 parts of DOA, 8 parts of flame retardant, 5 parts of ultraviolet absorber, and 3-5 parts of color paste. The composite material made with resin, rubber, and cyclosiloxane as the main base materials has better wear and weather resistance than traditional PVC coatings. The cyclosiloxane used will undergo ring-opening to form a polysiloxane long molecular network during the high-temperature curing stage of coating and molding, which improves the tear and scratch resistance of the tarpaulin or inner lining film.

The present application provides a kind of coal tar macromolecular network model construction method based on HRTEM and XPS, belongs to chemical molecular reaction kinetics technical field, including S1: processing coal tar macromolecular sample HRTEM image data;S2: determine the element composition and functional group composition of coal tar macromolecular sample;S3: set the basic unit structure of coal tar macromolecular network model, and calculate the proportion of different unit structure;S4: construct the aromatic layer sheet of carbon skeleton unit in coal tar macromolecular network model;S5: set the bridge bond of carbon skeleton unit, finally obtain the complete carbon skeleton unit in coal tar macromolecular network model;S6: revise the edge of carbon skeleton unit, hydrogenation is added to carbon skeleton unit and the coal tar macromolecular network model is optimized.It can finely construct coal tar macromolecular network, restore the real composition of coal tar molecule to the greatest extent, ensure that subsequent calculation structure is more real, suitable for constructing macromolecular network model for coal tar obtained under different coal rank and different working conditions.

The application discloses an application of Medicago sativa MsCEPR1 gene and protein coded by the same in low-phosphorus stress tolerance of Medicago sativa and belongs to the technical field of plant genetic engineering. The Medicago sativa MsCEPR1 gene provided in the application has a nucleotide sequence as shown in SEQ ID NO. 1. The application preliminarily reveals the regulation of CEPR1 on phosphorus absorption related genes by exploring the function of CEPR1 in phosphorus absorption, provides a basis for constructing a molecular network of CEPR1 regulating phosphorus absorption, and provides a direction for cultivating Medicago sativa varieties with high phosphorus absorption, which has important significance for reducing the dependence on phosphorus fertilizer and sustainable agricultural development.

The application discloses a method for interface modification induced uniform prelithiation of silicon-oxygen negative electrode, and belongs to the technical field of development of lithium ion battery negative electrode. An organic molecule long chain with lithium conduction characteristics is added into deionized water to obtain a mixed solvent by thickening polymerization; a dispersing agent and a conductive agent are added into the mixture, and a molecular network with two-dimensional lithium conduction and conductivity characteristics is prepared by circulating shearing and homogenizing; the two-dimensional molecular network is uniformly mixed with a silicon-oxygen negative electrode, and then homogenizing stirring is carried out, followed by high-temperature solidification, so that a silicon-oxygen material with a lithium conduction and conductivity interface is obtained; the modified silicon-oxygen material is uniformly mixed with a prelithiation reagent, and then high-temperature prelithiation is carried out, so that a uniformly prelithiated silicon-oxygen negative electrode material is obtained after acid washing and sieving. The silicon-oxygen negative electrode material with uniform prelithiation induced by interface modification is obtained by adopting the above steps, the lithium ion battery negative electrode sheet prepared from the material has strong lithium conduction capacity, high peeling strength and low electrode impedance, and a soft package battery cell matched with the positive electrode has excellent capacity retention rate.