1231 results about "Drug efficiency" patented technology

The invention discloses a sewage denitrification dosing method and system based on machine learning and a storage medium, and belongs to the technical field of sewage treatment.The method includes the steps that data are collected and preprocessed, and variable data influencing biochemical pool carbon source dosing behaviors are obtained; and lagging influence of carbon source input on the denitrification amount index is analyzed, and the duration time range of the drug effect is determined. And adopting the trained prediction model, and based on the denitrification amount index and the prediction variable of the future t + X period, obtaining the dosage of the (t + 1) th period. Through a correlation analysis method, the correlation rule of nitrogen conversion in the future X period after the carbon source is added is analyzed, the duration time of the drug effect is determined, the lag effect is accurately quantified, and the problem of mismatching of regulation and control opportunities is avoided. The hysteresis effect is captured and subjected to multi-factor coupling analysis based on the prediction model, the carbon source adding amount and time are optimized, system load fluctuation caused by excessive carbon sources or incomplete nitrogen removal caused by insufficient carbon sources are avoided, and the stability of an original sewage ecological system is gradually improved.

The invention discloses an optimization analysis system for simulating an anesthesia process, relates to the technical field of anesthesia simulation optimization analysis, and is used for solving the problem of inaccurate anesthesia individualized simulation decision. By constructing an anesthesia simulation system fusing a pharmacokinetic and pharmacodynamic model and a physiological coupling model, dynamic process simulation under individual physiological states and operative characteristics is realized, state evolution trajectories of an induction period, a maintenance period and a resuscitation period can be accurately deduced, and by introducing deep learning calculation and stage continuity constraints, the accuracy of the state evolution trajectories of the induction period, the maintenance period and the resuscitation period is improved. The method comprises the following steps of: establishing a multi-path drug delivery and ventilation strategy, setting a risk-efficiency scoring function, completing state tracking and index evaluation of the whole process, generating a strategy scoring set with confidence information, further supporting an abnormal probability judgment and risk triggering mechanism by the system, and outputting key monitoring parameters and coping strategies, so as to improve the simulation accuracy and stability; therefore, closed-loop control of strategy optimization and risk early warning is realized, and the credibility of the anaesthesia simulation process is improved.

The invention belongs to the technical field of traditional Chinese medicines, and particularly relates to a traditional Chinese medicine prescription efficacy quantification method and system.The method comprises the steps that chemical component spectrums, pharmacodynamic substance contents and biological activity indexes of traditional Chinese medicines forming a prescription are obtained; constructing a multi-target regulation and control network by combining a traditional Chinese medicine-target interaction database according to the chemical component spectrum, the pharmacodynamic substance content and the biological activity index, identifying a core efficacy pathway cluster by adopting a Louvain algorithm, and calculating a pathway activation intensity value by adopting a pathway target membership weighting model; according to the core efficacy pathway cluster, establishing a mapping relation between the core efficacy pathway cluster and traditional Chinese medicine efficacy terms through ontology and semantic mapping, and according to pathway activation intensity values, generating a prescription efficacy intensity vector through a weighted aggregation model; according to the efficacy intensity vector of the prescription, verifying and correcting the network weight through an in-vitro cell model, and generating the efficacy quantification of the prescription in combination with the clinical syndrome calibration coefficient. Therefore, the problems of single data dimension and insufficient quantification result accuracy in the prior art are solved.

The invention discloses a traditional Chinese medicine decoction piece finished product quality detection and analysis method and system, and belongs to the field of medicines.The method comprises the steps that S1, a compound component database is built, the database integrates pharmacopoeia standards, clinical composition structures, medicinal material source attributes and pharmacodynamic related parameters, and a standard model is built in a multi-level structuring mode; s2, collecting multi-modal map data of the traditional Chinese medicine decoction piece samples; s3, encoding the collected atlas data by adopting a heterogeneous feature extraction algorithm to generate a fusion structure feature vector; s4, inputting the fusion structure feature vector into a multi-channel evaluation model, and carrying out weight comparison, classification judgment and threshold evaluation; and S5, generating a quality detection report. The method has the beneficial effects that high-precision quality detection combining multi-modal fusion, intelligent discrimination and traceability visualization is realized, and the quality consistency evaluation and risk identification capability of the traditional Chinese medicine decoction pieces is effectively improved.

The invention relates to the technical field of medicine analysis, in particular to a traditional Chinese medicine raw material quality monitoring and analyzing method which comprises the following steps: merging a fluctuation direction consistent interval based on storage environment data, extracting a component extraction rate identification trend value, screening a concentration and impurity change overlapping section to generate an abnormal batch index; tracking a humidity and drug effect deviation section clustering early warning interval, and analyzing grade label fluctuation to judge a quality stability list. According to the method, temperature and humidity light data sampled at equal intervals are merged into a direction consistent interval, the environmental influence stability is dynamically defined, the accuracy of a quality analysis starting point is enhanced, the concentration difference and duration are quantified in combination with the extraction rate fluctuation trend, the component change recognizability is improved, the concentration and impurity fluctuation are overlapped, a pointer list is constructed, and sampling distribution is fused; and batch abnormity positioning is enhanced, a quality label change path and a mutation point are analyzed, a multi-source data stability logic chain is reconstructed, and the efficiency and accuracy of traditional Chinese medicine raw material quality screening are remarkably improved.

The invention provides a ziconotide nasal-brain delivery preparation which is high in brain targeting, safe and noninvasive and directly enters the brain through nasal administration. The nasal-brain delivery preparation comprises an active component ziconotide and an absorption enhancer, wherein the absorption enhancer is selected from one or more of dodecyl-beta-D-maltoside (DDM), menthol, hydroxypropyl-beta-cyclodextrin (HP-beta-CD), sodium glycocholate (SGC) and related derivatives thereof. The absorption enhancer with a specific type and content and the ziconotide cooperate and act together, so that the ziconotide bypasses a blood brain barrier, enters the brain through a nasal olfactory mucous membrane, forms a medicine storage bank in an olfactory bulb, is slowly released to the brain and keeps a long-term medicine effect, and therefore, a traditional ziconotide intrathecal administration mode is abandoned; the ziconotide nasal-brain administration mode is created, and the ziconotide nasal-brain administration method is a new-generation therapy for pain diseases related to the central nervous system.

The invention discloses an anesthesia strategy generation system fusing time sequence data and a knowledge graph, and relates to the technical field of medical information processing. The method specifically comprises the steps that five types of vital sign data including arterial blood pressure, electrocardio and electroencephalogram are collected, correction is conducted in combination with traction marks and electrotome interference characteristics, and an analysis result is output; the inference analysis module executes double-track processing based on the analysis value, one track evaluates cortical suppression, shock and ventilation risks and generates a risk report, and the other track performs reverse arbitration when the blood oxygen data is abnormal; constructing a knowledge graph fusing the efficacy nonlinear cooperation equation, the age sensitive parameters and the drug administration sequence influence; and the strategy generation module integrates the multi-source data to generate a drug execution track, and executes fast and slow closed-loop regulation and control based on a risk report and an arbitration result. According to the invention, the adaptation capability of the system to individual differences, the abnormal signal identification and processing capability and the intelligent response level of the anesthesia strategy are improved, and the accuracy and safety of clinical anesthesia are significantly enhanced.

The invention discloses a zinc polyphenol complex suppository as well as a preparation method and application thereof. The preparation process mainly comprises two steps as follows: a, preparation of EGCG-Zn metal polyphenol complex nanoparticles; and b, preparing the nano complex suppository. The method is simple in process, green, environment-friendly and suitable for large-scale preparation. The prepared EGCG-Zn nanoparticles are uniform in particle size and good in stability, and have good antioxidant, anti-inflammatory and tissue repair activity based on a complex network structure formed by self-assembly of EGCG and zinc ions. The nano-particles are firstly treated by adopting a drug pretreatment carrier and then loaded in a suppository matrix to construct a rectal administration type nano-suppository, so that targeted and continuous local drug effect release can be realized. In intervention of radioactive intestinal injury, the suppository not only can relieve oxidative stress and inflammatory response, but also can promote regeneration and repair of intestinal mucosa, and has good treatment potential and clinical application prospect.

The invention provides a dynamic medication dosage optimization method fused with reinforcement learning. The method comprises the following steps: acquiring a first physiological index parameter of a target patient; obtaining a first diagnosis report of the target patient, wherein the first diagnosis report comprises basic information of the target patient and first disease information of the target patient; the first disease information comprises a first disease type and first disease description information; determining a first reinforcement learning algorithm corresponding to the first disease type; determining a first control parameter of the first reinforcement learning algorithm according to the first physiological index parameter and the basic information; and performing operation on the first disease description information through the first reinforcement learning algorithm and the first control parameter to obtain a first medication dosage parameter. Based on the application, the drug effect can be consistent with the physical condition of a patient, and poor drug effect and excessive side effects caused by too strong drug effect are avoided.

The invention discloses a rehmannia processing synergistic intelligent control system based on an artificial intelligence large model, and belongs to the technical field of traditional Chinese medicine processing intelligent control. The system comprises a data acquisition module, a data transmission module, a rehmannia processing synergistic large model processing module, an intelligent control module and a man-machine interaction module. The data acquisition module is used for acquiring multi-source data such as temperature, humidity, pressure, moisture content and morphological characteristics in the processing process by using various sensors; the data transmission module realizes the transmission of the acquired data from the sensor to the large model processing module; the large model processing module deeply excavates a component-process-drug effect coupling relationship through data preprocessing, feature extraction, model training and SFT fine tuning control, and intelligently generates recommended process parameters; the intelligent control module accurately regulates and controls the processing equipment according to the process parameters output by the large model; the man-machine interaction module provides an operation and monitoring interface. The operation process of the system comprises the steps of starting, data acquisition, intelligent recommendation of the processing technology, transmission of the processing technology to the processing equipment, execution of the processing technology by the processing equipment and ending of operation. The processing quality stability and the production intelligence level are improved, the core component content of processed rehmannia can be effectively improved, and the problems that a traditional rehmannia processing flow depends on artificial experience, and the quality of processed products is unstable are solved.

The invention discloses a construction method of a gout compound decoction fingerprint as well as the fingerprint and application thereof, and belongs to the technical field of analysis and detection. The construction method of the fingerprint spectrum comprises the following steps: taking a test solution prepared from the gout compound decoction; the test solution is subjected to HPLC-SPD detection, so that the fingerprint spectrum of the gout compound decoction is obtained, and the HPLC detection conditions are that a C18 chromatographic column is used, a C18 chromatographic column is used, a C18 chromatographic column is used, a C18 chromatographic column is used, and a C18 chromatographic column is used for detecting the fingerprint spectrum of the gout compound decoction. An aqueous solution containing 0.1%-0.2% of phosphoric acid is used as a mobile phase A, and acetonitrile is used as a mobile phase B for gradient elution; the flow velocity is 0.8-1 mL / min, the column temperature is 25 DEG C, the sample injection volume is 5-10 [mu] L, and a diode array detector is 190-400 nm full-wave band scanning. The chemical components in the gout compound decoction are comprehensively and systematically analyzed, and a basis is provided for quality control and in-depth study of a pharmacodynamic material basis.

The invention belongs to the technical field of anesthesia depth regulation and control, and particularly relates to an anesthesia depth self-adaptive regulation and control method and system based on a dynamic time sequence model, and the system comprises a portable computer which is used for operating a program, receiving electroencephalogram time sequence data output by a signal collection device, receiving a pressing event of a handle, and obtaining efficacy information of an effect part; a channel gating result is generated based on the information and used for conducting category division on a drug administration adjustment request, gating is conducted through a shared code LSTM and a two-channel LSTM head and an effect room concentration vector and a hysteresis band, the problem of rhythm dislocation caused by exponential smoothing lag and induction-waking asymmetry is solved, mistaken up-regulation or mistaken down-regulation and overshoot are reduced, and the accuracy of drug administration adjustment is improved. And the adjustment convergence time is shortened, so that the anesthesia depth is more stably maintained in a target interval.

The invention provides a large and small model collaborative traditional Chinese medicine prescription optimization method and system, a terminal and a storage medium, and the method comprises the steps: firstly determining a prescription needing to be optimized, sorting related public literatures into an input document, constructing a local prescription knowledge base, and carrying out question answering based on a prescription optimization large language model to obtain a large model optimization prescription; then, determining related pathway targets of applicable symptoms in the prescription needing to be optimized, collecting chemical substances in the prescription needing to be optimized to obtain a prediction result of a pharmacodynamic substance level, performing medicinal material tracing analysis on the prediction result, optimizing prescription composition based on pharmacodynamic substance weight to obtain a small model optimized prescription, and determining the pharmacodynamic substance weight based on the small model optimized prescription. And performing comprehensive analysis based on the large model optimization prescription and the small model optimization prescription to generate final prescription optimization recommendation. The efficient traditional Chinese medicine prescription composition optimization method is constructed from the macroscopic level and the microscopic level, and the scientificity and the practicability of prescription optimization can be improved.

The invention relates to the technical field of medicine data analysis, in particular to a method, a system and equipment for generating a medicine relocation research report and a medium. According to the method for generating the drug relocation research report, a drug relocation request submitted by a pharmaceutical enterprise is decomposed into three sub-tasks of indication extension analysis, target matching analysis and drug effect simulation verification, and an indication extension analysis agent, a target matching analysis agent and a drug effect simulation verification agent are called respectively; the contribution value of each link is calculated through multi-agent cooperation, and finally a relocation research report containing potential rating and confidence evaluation is generated based on the drug-disease knowledge graph. By implementing the technical scheme provided by the invention, the efficiency and reliability of drug relocation analysis are improved, and scientific and credible decision support is provided for pharmaceutical enterprises.

The present invention provides a binary or ternary complex. The complex can improve the stability of a drug, and in particular, inhibit the transesterification reaction within drug molecules. The complex can also improve the efficacy formulation performance of the drug, improving the safety and effectiveness of the drug.

The invention discloses a multi-dimensional efficacy evaluation system for colon cancer targeted drug screening, and relates to the technical field of medical assistance. Comprising a data acquisition module, an inference engine module and an output module. The data acquisition module acquires an organ sample response data set (including apoptosis rate A1, activity decline degree A2 and image structure change score B1) and a patient background data set (including gene mutation discrete variable set G and metabolic pathway continuous variable set M). The inference engine module executes dominant condition rules: generating a negative weight factor alpha according to a gene mutation state and a metabolic activation threshold value; generating a deduction item gamma based on a preset drug-resistant mutation subset; performing weighted calculation on the apoptosis rate and the activity decline degree to generate a basic drug effect score beta, and increasing beta through a critical value; and finally generating a comprehensive response score S. And the output module outputs a drug effect judgment result according to the S, and multi-dimensional accurate evaluation is realized.

The present disclosure pertains to novel Glucagon like Peptide-1 (GLP-1) (7-37) analogs having an amino acid sequence with Leu or Ile at the C-terminal. The new analogs are potent GLP-1 agonists with reduced adverse effect and improved duration of action. The present disclosure further relates to acylated derivatives of the new analogs which have further improved potency and duration of action and are suitable for oral administration. The analogs of present disclosure may be useful in treatment of diabetes and obesity.

The invention relates to the technical field of medicine management, in particular to an intelligent medicine expiration date management method and system, and the method comprises the steps: collecting environment parameters of medicine storage in real time; constructing a characteristic database of drug stability, and constructing a degradation rate model of the corresponding drug based on the characteristic database; based on the environmental parameters and a degradation rate model, calculating an accumulated value of the current storage condition to the drug quality, and generating a quality risk level; and generating a medicine optimization management instruction based on the quality risk level and the remaining time of the medicine fixed effective period. By means of the method, the problem that the medicine effect fails in advance due to the fact that dynamic environment factors are neglected in a traditional method is effectively solved, accurate early warning of quality deterioration is achieved through dynamic monitoring and degradation modeling, supervision blind areas are eliminated, and the risk of medical resource waste is reduced.

The invention provides a compound nystatin ointment and a preparation method thereof, and relates to the technical field of medicine preparation, the compound nystatin ointment comprises active ingredients of nystatin, neomycin sulfate, triamcinolone acetonide and permethrin, and the formula comprises liquid paraffin, white vaseline, wool fat, hexadecanol, PEG-30 dipolyhydroxystearate and glyceryl monoisostearate. According to the compound nystatin ointment preparation prescription process disclosed by the invention, the phenomenon of ointment matrix layering in the use process of commercially available products is mainly solved. According to a pharmaceutical research test, the stability of the compound nystatin ointment is superior to that of a commercially available original development agent, the ointment body character and the stability of active ingredients can be kept under the conditions of high temperature, high humidity, low temperature, freeze thawing and illumination, the maximum single impurity content and the total impurity content in the product are not obviously increased, and the quality is controllable. And meanwhile, an in-vitro transdermal test (IVPT) accidentally finds that the retention amount of related active ingredients is higher than that of the original development agent, and the drug effect is obviously improved. Through clinical test research, the compound nystatin ointment disclosed by the invention can be used for effectively treating external otitis caused by bacteria sensitive to neomycin, fungi sensitive to nystatin and ear mites sensitive to permethrin of dogs and cats.

The invention discloses a multi-target drug molecule generation model construction method and a multi-target drug design method, and relates to computer drug design and bioinformatics. Determining a corresponding two-dimensional molecular map based on the SMILES sequence; the fully-connected pharmacophore diagram and the two-dimensional molecular diagram are used as input of a GatedGCN module, each atomic node in the two-dimensional molecular diagram is connected with all pharmacophore nodes in the fully-connected pharmacophore diagram in message transmission, and information exchange between different nodes is achieved; the masked SMILES sequence serves as the input of an encoder, and the decoder generates an SMILES sequence conforming to pharmacophore characteristics in an autoregression mode; freezing the network parameters of the GatedGCN module and the encoder; and training the multi-target drug molecule generation model through the elite multi-target molecule set, and reversely optimizing and updating decoder network parameters according to an output result. According to the method, the model fully learns the multi-target molecular structure characteristics, and the multi-target drug molecule generation accuracy is improved.

The invention belongs to the technical field of nano-drugs, and discloses a multifunctional nano-drug delivery system for treating neovascular eye diseases and a preparation method of the multifunctional nano-drug delivery system. The nano drug delivery system disclosed by the invention is a composite nano preparation which takes dendritic mesoporous silica nanoparticles as a carrier and co-loads cerium zirconium oxide nano enzyme and an anti-VEGF (vascular endothelial growth factor) drug, various active oxygen can be efficiently removed, oxygen is continuously released through catalytic decomposition of hydrogen peroxide, a retina hypoxia microenvironment is improved, and the retina hypoxia effect is improved. According to the present invention, the anti-VEGF drug delivery system can reduce the oxidative stress induced retinal pigment epithelial cell apoptosis rate, reduce the inflammatory reaction, and simultaneously achieve the slow release and the controlled release of the anti-VEGF drug, and the drug effect maintenance time can achieve more than 60 days, such that the multi-target synergistic treatment can be achieved through the synergistic regulation of the multiple pathological links such as oxygen deficit-oxidative stress-inflammation-angiogenesis, and the anti-VEGF drug delivery effect can be achieved. The choroidal neovascularization can be effectively inhibited by single intravitreal injection, and a new strategy of multi-target collaborative treatment is provided for neovascular macular degeneration and other eye diseases.

The application discloses a kind of hepatic organoids containing mesenchyme induction method, belong to organoid culture technical field.The method includes the following steps: (1) human embryonic stem cell WIBR3 pretreatment;(2) utilize human embryonic stem cell WIBR3 and induce liver organoids and mesenchymal cells;(3) mesenchymal cells and liver organoid cells are co-cultured, i.e. obtain the hepatic organoids containing mesenchyme.There is beneficial effect: the application changes the culture mode and method of the hepatic organoids containing mesenchyme.The hepatic organoids containing mesenchyme induction method proposed in the application is simple, and mesenchymal cells and other liver cells have the same genetic background source, suitable for the safety evaluation of drug and other chemical substances, liver fibrosis, non-alcoholic hepatitis modeling and pharmacodynamic evaluation.

The application provides application of grass aconite in preparation of anti-epilepsy drugs and a mechanism analysis method, relates to the technical field of anti-epilepsy drugs, and discloses a "drug active ingredient-key target point-disease-pathway" network diagram of the grass aconite anti-epilepsy by starting from the chemical structure of the effective component of the grass aconite, applying network pharmacology and molecular docking technology, revealing how the active component of the grass aconite plays the drug efficacy through "multi-target point, multi-pathway and multi-pathway" combined regulation, predicting the anti-epilepsy target point and mechanism of the grass aconite, and providing certain theoretical reference for research and development of the grass aconite as an anti-epilepsy drug and a functional food.

The invention provides a cyclodextrin-based nano anti-tumor medicine preparation as well as a preparation method and application thereof, and belongs to the technical field of medicines. The preparation method comprises the following steps: preparing a graphene quantum dot deposition gold nanocage modified by a silane coupling agent, carrying out a Schiff base reaction on the graphene quantum dot deposition gold nanocage and aldehyde substituted-beta-cyclodextrin to prepare a composite carrier, and coating a targeted peptide-drug compound through the reaction, thereby preparing the cyclodextrin-based nano anti-tumor drug preparation. According to the cyclodextrin-based nano anti-tumor medicine preparation prepared by the invention, the anti-tumor medicine effect is obviously improved, meanwhile, the medicine resistance of the medicine can be reversed, the damage to normal tissues is reduced, the use amount of the medicine is reduced, the side effect after the medicine is used is reduced, the compliance of a patient is improved, and meanwhile, the stability and biocompatibility of the medicine can be improved; wide application prospects are realized.

The invention discloses bee venom-containing skin essence with small irritation and a preparation method of the bee venom-containing skin essence. The skin essence is prepared from PLGA-PEG / liposome nanoparticles, a temperature-sensitive gel matrix, a protective agent, an antioxidant, a stabilizer and ultrapure water, the preparation method comprises the following steps: preparing the PLGA-PEG / liposome nanoparticles, preparing a poloxamer 407 solution, resuspending the nanoparticles, filling and storing. According to the invention, the melittin and the snake venom-like peptide have a synergistic effect on skin wrinkle resistance, so that the skin care effect is improved; pLGA-PEG / liposome nanoparticles are matched with a poloxamer solution to construct a dual sustained-release drug system, so that the irritation of drugs to skin is reduced, the lasting effect of the drug effect is improved, and the obtained skin essence has excellent moisturizing, whitening, anti-wrinkle and antioxidant capacities and is small in irritation.

The present disclosure relates to the field of drug design, in particular to a method and apparatus for providing a molecular structure of a drug. The method comprises the following steps: inputting a first condition feature and a first random noise into a diffusion model to obtain a candidate molecular structure; determining the conformation of the compound according to the binding energy between the candidate molecular structure and the target protein structure; determining a first pharmacophore according to the interaction between a candidate molecular structure and a target protein structure in the conformation of the compound; determining a conformation score according to the binding energy and the interaction; associatively storing the candidate molecular structure, the first pharmacophore and the conformation score as data in a condition database; according to the conformation scores of all the data in the condition database, screening out a first number of data from the condition database, and generating a second condition feature according to one or more first pharmacophores in the first number of data; and inputting the second condition feature and the second random noise into the diffusion model to obtain an updated candidate molecular structure.

The application provides sodium zirconium cyclosilicate with controlled particle size distribution, which has less particles less than 3 microns, thereby improving drug safety, and has more than 95% ZS-9 crystal form, thereby having high KEC, and ensuring drug efficacy. The application further provides a preparation method and use of the sodium zirconium cyclosilicate.

The invention discloses a detection method for rapid real-time drug effect evaluation and application of the detection method. The detection method comprises the following steps: providing a quantitative corresponding relation between a same-generation calibration change value of electrical characteristics caused by physiological changes such as cell same-representative characteristics and the like and the cell proliferation ability; adhering to-be-detected cells to the surface of the same membrane electrode; applying the medicine to be detected, and observing the same generation measurement change value of the electrical characteristics in a cell proliferation cycle; and based on the quantitative corresponding relationship, obtaining the drug effect of the corresponding real-time proliferation characteristic evaluation drug. According to the detection method provided by the invention, the physiological changes such as the same-representative characteristics of the adherent cells are monitored through the membrane electrode, and after the quantitative corresponding relation between the change indexes of the same-representative characteristics of the cells and the proliferation capacity of the cells is established, the cell proliferation capacity is detected; the change of the cell proliferation capacity can be predicted through physiological changes such as the same representative characteristics of the cells before proliferation and apoptosis of the cells, so that the judgment period of the influence of the medicine on the cells can be greatly shortened, and the progress of medicine evaluation and research and development can be remarkably accelerated.

The invention provides a preparation method of an insecticide synergistic responsive release delivery system, and belongs to the technical field of insecticides. Chlorantraniliprole insecticide is dissolved in an acetone solvent containing Tween 80 to form a drug-carrier complex; then polymerizing the N-isopropylacrylamide temperature-sensitive monomer under the action of an ammonium persulfate and tetramethylethylenediamine initiation system to form a temperature-responsive hydrogel matrix; four key parameters including the optimal molar ratio, the optimal embedding temperature, the optimal embedding time and the optimal phase change temperature control precision of an amido hydrophilic group and an isopropyl hydrophobic group are calculated by applying a double-layer game model, and a drug-carrier complex is embedded into a hydrogel matrix through a physical embedding effect to construct a three-layer nested delivery structure; the technical problem that the pesticide effect utilization rate is low due to the fact that the pesticide lacks an accurate temperature-responsive release control mechanism in environmental application is solved.

The invention discloses a construction method and a prediction method of a traditional Chinese medicine compound main effect index component system prediction model. The construction method of the prediction model comprises the following steps: S1, constructing a traditional Chinese medicine related information data set; s2, calculating and analyzing the traditional Chinese medicine compound from at least one dimension by utilizing the constructed traditional Chinese medicine related information data set, and predicting to obtain a main effect index traditional Chinese medicine; the dimension comprises a syndrome monarch drug, a drug with the maximum dosage and a core target acting drug in the traditional Chinese medicine compound; and S3, according to the traditional Chinese medicine related information data set, taking the index component corresponding to the main effect index traditional Chinese medicine as a main effect index component system. According to the method, the multi-dimensional main effect index component prediction model is constructed, so that the main medicinal components can be quickly screened from the complex traditional Chinese medicine compound, the recognition capability of the core components of the traditional Chinese medicine compound is improved, and the problems that the components are complex and the components are difficult to determine for evaluation are solved.