59 results about "Incubation period" patented technology

The invention discloses a vegetable disease incubation period detection method and system based on bimodal time sequence collaborative fusion, and the method comprises the steps: obtaining a leaf image through building an acquisition environment, constructing a training sample data set, and constructing a downy mildew incubation period spectral feature adaptive enhancement (AW-FPF) module; the method comprises the following steps: decomposing a hyperspectral signal into low-frequency and high-frequency components through spectrum time sequence adaptive wavelet decoupling, obtaining an enhanced feature tensor through spectrum multi-scale pathological feature frequency-time dual-path aggregation fusion frequency domain and time domain paths, and obtaining a first feature sequence through weighted screening by using a multi-head attention mechanism; a downy mildew incubation period prediction (HyChl-TFNet) model containing a hyperspectral branch, a chlorophyll fluorescence parameter branch, a feature fusion branch and a classifier is constructed, bimodal features are processed and fused to output a day number prediction result, accurate recognition of the downy mildew incubation period is achieved, the detection precision can be controlled to the day number level, and the detection accuracy is improved. And an accurate time basis is provided for early prevention and control of diseases.

The invention discloses an animal quarantine method, and aims to solve the problems of high omission ratio, early warning lagging and lack of environment optimization of the traditional quarantine means. According to the method, multi-dimensional biological signals such as the heart rate, the respiratory rate, the body temperature and the acceleration of an animal are collected in real time through an ear tag type wearable device, and the anomaly detection precision is improved through a self-adaptive sampling mechanism; meanwhile, the environment monitoring module collects the temperature, humidity and ammonia gas concentration of the farm, and dynamically regulates and controls the temperature, humidity and ammonia gas concentration in case of abnormality. And the edge computing node adopts a long-short-term memory network to fuse and analyze data, outputs an epidemic disease risk probability, and optimizes the model through self-learning. The embodiment shows that the method can perform early warning and environment optimization in the incubation period, the quarantine time is shortened to 5-10 minutes per head, the omission ratio is lower than 5%, and an efficient and accurate epidemic disease prevention and control solution is provided for the breeding industry.

The invention discloses a monitoring analysis system and method for potato breeding, and relates to the technical field of agricultural information technology and intelligent breeding, and the system comprises a multi-modal data acquisition module which is configured to synchronously obtain greenhouse environment parameters, potato plant multispectral imaging data and leaf metabolite concentration data; and the space-time causal modeling module is connected to the multi-modal data acquisition module, and is used for constructing a dynamic correlation model among environmental fluctuation, gene expression and phenotypic characteristics, and deducing and quantifying the genetic effect of the environmental abnormal event based on anti-fact intervention. According to the monitoring analysis system and method for potato breeding, through multi-modal data fusion and space-time causal modeling, the accuracy and early warning timeliness of potato breeding monitoring are improved, the limitation of traditional visible light imaging is broken through, and the incubation period disease recognition accuracy is improved compared with a traditional method.

The invention is suitable for the technical field of model prediction, and provides a method and system for constructing a pulmonary infection risk prediction model based on machine learning, and the method comprises the following steps: collecting data information, and carrying out the standardization processing of the data information, the data information comprising structured data, image data, time series data and environment data; performing multi-modal feature extraction based on the data information to obtain an image feature F1, a physiological time sequence feature F2 and an environment feature F3; performing multi-modal feature fusion, determining weights of the image features, the physiological time sequence features and the environment features, and adaptively adjusting the weights of the environment features based on seasonal factors; processing class imbalance through focus loss, determining a time decay weight according to infection latency characteristics, and determining a total loss function; and carrying out model training by adopting a multi-layer perceptron to obtain a pulmonary infection risk prediction model. According to the invention, by introducing the seasonal factor and the seasonal sensitivity coefficient, adaptive adjustment of the environmental feature weight is realized.

The invention provides an agricultural pest diagnosis and early warning method and system based on an intelligent algorithm. The system comprises a spore collection and detection module, a credibility evaluation module, a wind field inversion and source region identification module, a incubation period modeling module, a risk judgment module, a control decision and scheduling module and an output interface module. The spore collection and detection module obtains a spore living body load value in real time through an air sampling and quantitative PCR detection technology; the credible evaluation module realizes pathogen effective trigger state recognition through multi-dimensional threshold judgment; the wind field inversion and source region identification module determines an upstream source region and a propagation path by using a particle trajectory inversion and clustering algorithm; the incubation period modeling module is used for calculating an incubation period and deducing a potential disease time window based on the environmental parameters and an Arrhenius model; quantitative modeling and intelligent early warning of the whole disease and pest propagation process are achieved, the timeliness and accuracy of prevention and control can be improved, and the prevention and control cost is reduced.

It is unequivocal that to facilitate targeted antimicrobial prescribing practices and to help reduce the increasing global burden of antibiotic resistance, there is an urgent need for the development of novel and truly rapid (less than or equal to 1 hour) AST platforms. A 785 nm SERS based methodology is described that results in accurate MIC determinations for all tested strain / antibiotic pairs following a 30 minute drug incubation period. The time for an SERS AST result is -1 hour. The SERS-AST method works for both Gram positive and Gram negative species and for all primary mechanisms of antibiotic activity. Agreement with 24 hour growth determined MICs is obtained for both bactericidal and bacteriostatic antibiotics although different patterns of dose dependent SERS intensities characterize these two types of antibiotics. Bacterial SERS spectra due to secreted purine nucleotide degradation products (principally adenine, guanine, xanthine and hypoxanthine).

The invention discloses a lactobacillus gasseri strain capable of improving memory and promoting growth and a metagen thereof, and belongs to the technical field of microbial fermentation. A strain of lactobacillus gasseri is obtained through screening, thalli and metabiotics of the thalli are obtained through culture, the metabiotics and the reed rhizome extract form the compound, and the compound shows a synergistic interaction effect which is specifically shown as follows: in a water maze test, the incubation period of a mouse is shortened; in a rat growth test, the body length, the body width and the testis weight of the rat are all improved. The lactobacillus gasseri and the preparation method thereof have practical value on comprehensive utilization of lactobacillus gasseri and the metaplasts thereof, and also have important value in the aspects of improving memory of an organism and promoting growth.

The invention discloses a respiratory infectious disease control effect evaluation system and method based on feature analysis, and relates to the technical field of control effect evaluation, and the method comprises the steps: evaluating the respiratory infectious disease transmission change condition according to historical respiratory infectious disease transmission data and current respiratory infectious disease transmission data, evaluating the human traffic change condition according to the historical human traffic data and the current human traffic data, and evaluating the change condition of the respiratory tract infection latency period according to the probability of the historical respiratory tract infection latency period and the probability of the current respiratory tract infection latency period; predicting the infection condition of the respiratory infectious diseases before control according to the transmission change condition of the respiratory infectious diseases, the human flow rate change condition and the change condition of the respiratory infection incubation period, and evaluating the control effect of the respiratory infectious diseases according to the actual infection condition of the respiratory infectious diseases after control and the predicted infection condition of the respiratory infectious diseases before control. And the accuracy of respiratory infectious disease control effect evaluation is improved.

This invention discloses a non-destructive method for sex detection of chicken embryos in the early incubation period based on RF-DS image information fusion. Machine vision and a spectrometer are used to collect information on horizontally placed embryos at day 4 of incubation. Based on image and spectral preprocessing, image texture features and spectral features are extracted. Then, basic probability assignment functions (BPAs) are constructed using the RF classification results of two single-feature types as independent evidence. Decision-level fusion is performed using D-S evidence theory, and the final identification result is given based on the classification decision threshold. Experimental results show that the highest accuracy of the image and spectral single-feature RF models reaches 78.00% and 82.67%, respectively, while the multi-feature decision fusion identification method achieves an accuracy of 88.00%, with sex identification rates of 90.00% and 86.25%, respectively. The time for identifying a single egg is 2.843 seconds. These results demonstrate that this spectral-image information fusion method can improve the accuracy of sex identification in early incubation embryos.

The invention belongs to the technical field of biological detection, and particularly relates to an optimization method for evaluating the whitening effect of cosmetics through zebra fish and application. According to the method, fertilized zebrafish is grouped, temperature is controlled for a dark incubation period, the pH value of an administration solution is regulated and controlled, an image analysis technology, molecular biology, a transgenic technology and the like are combined to optimize a zebrafish-based cosmetic whitening effect evaluation system, and multi-index comprehensive evaluation is carried out. A rapid, reliable and ethical acceptable in-vivo evaluation scheme is provided for the whitening effect of the cosmetics; the method can be applied to screening and mechanism research of whitening active ingredients, and provides more scientific basis for product development.

A germinant composition for activating one or more wild-type and / or super-dormant spores, particularly Bacillus spores, comprises L-isoleucine or L-valine or both. A germinant composition may also comprise a buffer, a source of potassium, an industrial preservative, and one or more other L-amino acids. Wild-type and / or super-dormant spores may be incubated with a germinant composition by heating to an incubation temperature of 26 to 60° C. for an incubation period of 30 minutes to 36 hours. Incubation may be a single step process without pre-activation or heat shock or a two-step process. A method of pre-activation comprises combining spores with a germinant composition and either bioprocessing or heat treating and then drying. An incubated bacteria solution preferably comprises at least 50% activated spores after an incubation period of 24 hours and more preferably after 1 hour.

The invention discloses separation and application of a vibrio parahaemolyticus lytic bacteriophage vBVpaSR27Z (Vibrio parahaemolyticus lytic bacteriophage). The preservation number of the bacteriophage vBVpaSR27Z is GDMCC No: 67438-B1 (GDMCC No: 1). The bacteriophage is separated from an environmental sample by adopting a double-layer plate method, the head of the bacteriophage is in a regular icosahedron shape (84 nm * 71 nm), the tail length of the bacteriophage is about 141 nm, the incubation period of the bacteriophage is only 20 min, the lysis speed is high, and the activity of the bacteriophage is stable within the pH range of 5-10 and the temperature range of 4-37 DEG C; the genome of the vibrio bacteriophage is double-stranded DNA without known drug resistance and toxicity genes, phylogenetic analysis shows that the vibrio bacteriophage has low homology with known vibrio bacteriophages, and the vibrio bacteriophage belongs to a novel genetic resource. The vBVpaSR27Z can rapidly inhibit the growth of strains such as vibrio parahaemolyticus, is suitable for green prevention and control of diseases such as vibrio parahaemolyticus in aquaculture, and can be used as an active component of a biological antibacterial preparation.

This invention relates to a composition with antitussive effects. By weight, the composition contains 5-25 parts of green plum, 1-20 parts of dried plum, 1-20 parts of monk fruit, 1-20 parts of platycodon root, and 1-20 parts of peppermint. The antitussive composition of this invention scientifically selects and proportions its components, which can reduce the continuous damage to the respiratory system caused by the harsh environment of high altitudes, quickly relieve coughs and dry, itchy throats, etc., shorten the course of the disease, and prevent prolongation and recurrence by prolonging the incubation period of coughs and reducing the frequency and severity of coughs. It also has the advantages of high safety, a sweet and refreshing taste, easy portability, and good patient compliance. It is particularly suitable for preventing and treating severe dry coughs, persistent coughs, and paroxysmal coughs caused by the cold, dryness, and low oxygen levels of high altitudes, maintaining the health and work capacity of personnel working at high altitudes.

The invention discloses a method for evaluating spice regulation satiety based on animal behavioristics, which comprises the following steps of: establishing an appetite intervention model (intragastric spices or medicines), and adopting a modified elevated cross labyrinth device (comprising a detachable trough and a sensor); synchronously recording the incubation period T of the experimental subject in contact with the food for the first time, the number F of times of food area exploration and the food intake I, and calculating the correlation coefficient r of the behavior parameters and the food intake through a Pearson correlation coefficient formula. When rgt; and when 0.6, judging that the behavior change can reflect the satiety state. The method realizes multi-dimensional parameter cross validation of appetite evaluation, and is suitable for functional food and medicine development.

Method for culturing cells, comprising: arranging, in an enclosure, an initial quantity of cells, a culture medium, and supports, the enclosure extending, from a bottom, along a height; incubation, during an incubation period, during which the cells develop on the supports; extraction of the cells from the supports and recovery of the extracted cells; the method being characterized in that: each support extends between two opposite faces, along a characteristic dimension less than 10 mm, the characteristic dimension corresponding to the largest diameter or the largest diagonal of one of the two faces; each support extends along a thickness, less than half of the characteristic dimension; during at least 50% of the incubation period, at least 50% of the supports are arranged at the bottom of the enclosure.

The invention discloses a multimodal distribution optimization-based infectious disease transmission analysis method, which comprises the following steps of: acquiring incubation period data and related characteristics of infectious disease cases, performing data preprocessing, dividing the data into a training set, a verification set and a test set, constructing a mixed density network (MDN) model for parameter learning and optimization, and finally performing prevention and control index analysis. And converting a multi-peak model result into a prevention and control decision basis, and completing infectious disease transmission analysis. According to the method, by constructing the dynamic mixed distribution model and combining crowd feature layering and data-driven parameter learning, single-peak distribution limitation is broken through, multi-peak distribution features caused by different propagation routes or crowd heterogeneity and the like are accurately captured, the adaptability and parameter estimation precision of the model to complex propagation scenes are improved, and the method is suitable for popularization and application. And a scientific basis is provided for formulating an infectious disease prevention and control strategy.

The application relates to a tracing method for latent period asymptomatic transmission based on an SAIR model, which comprises the following steps: S1, determining a single initial transmission source node in an interpersonal relationship complex network, and transmitting according to the source node according to an SAIR model until a moment t0; S2, randomly selecting a certain number of nodes as observation nodes, and knowing the state of the observation nodes at the moment; S3, screening a candidate source node set in the complex network by using a reverse propagation algorithm according to the state of the partial observation nodes, and the hop distance and the effective distance, and the number of nodes is determined by a sampling method; S4, constructing a dynamic message transmission equation according to the SAIR model, and calculating the probability of the candidate source nodes being in different states at a moment Delta t by using the partial observation nodes; and S5, calculating the likelihood probability of the nodes in the candidate source node set becoming sources by using an average field theory, and the source is the node with the maximum probability. According to the application, the spread of infectious diseases of patients with latent period and asymptomatic can be accurately reflected, and the problem of tracing the source of infection can be solved.

The application provides a kind of agricultural disease and insect pest diagnosis early warning method and system based on intelligent algorithm, system includes: spore collection and detection module, credible evaluation module, wind field inversion and source area identification module, incubation period modeling module, risk determination module, prevention and control decision and scheduling module and output interface module.Said spore collection and detection module obtains spore living body load value in real time by air sampling and quantitative PCR detection technology;The credible evaluation module realizes the effective triggering state identification of pathogen by multidimensional threshold determination;Wind field inversion and source area identification module determines upstream source area and propagation path using particle trajectory inversion and clustering algorithm;Incubation period modeling module calculates incubation period based on environmental parameters and Arrhenius type model and deduces potential disease time window;The application realizes the quantitative modeling and intelligent early warning of the whole process of disease and insect pest transmission, can improve the timeliness and accuracy of prevention and control, and reduce the prevention and control cost.

The invention provides an application of children Danqing Shuanglian granules in preparation of drugs for treating acute inflammation. The acute inflammation comprises acute upper respiratory tract infection, bronchitis, amygdalitis and pneumonia caused by virus infection (H1N1, H3N2, FluB and HRSV) or abnormal immunoreaction. Raw materials of the granules comprise nauclea officinalis, artemisia apiacea, scutellaria baicalensis and other traditional Chinese medicinal materials and anti-inflammatory regulatory peptide. The preparation process comprises the following steps: extracting volatile oil by steam distillation, extracting effective components by combining microwave assistance and ultrasonic enhancement, carrying out beta-cyclodextrin inclusion on polypeptide to enhance the stability, and finally granulating to obtain granules with the water content of less than or equal to 6%. Experiments show that the inhibition rate of the drug to HRSV under the maximum non-toxic concentration reaches 81.8% + / -2.0%, and the therapeutic index is SIgt; 2, the latency period of ammonia water induced mouse cough can be remarkably prolonged, the cough frequency is reduced, the antiviral, anti-inflammatory and antitussive effects are achieved, and a safe and effective traditional Chinese medicine choice is provided for clinical treatment of viral acute inflammation.

This invention belongs to the field of artificial intelligence technology, specifically a deep learning-based method for early warning and auxiliary diagnosis of animal epidemics in animal husbandry and veterinary medicine. It includes constructing an environmental-physiological feature decoupling model to separate environmental stress from pathological deviations; using graph convolutional neural networks to analyze the dynamic evolution of group social topology and capture individual out-of-group tendencies; employing a spatiotemporal multi-scale feature fusion architecture to integrate and process physiological sequences, posture features, and social relationships; and using a biological attribute mapping layer to reverse-map the neural network state into clinical pathological descriptors. This application achieves environmental interference removal and accurate capture of the epidemic incubation period, provides logically traceable auxiliary diagnostic reports, and significantly improves the certainty of epidemic prevention decisions.

The invention discloses a specific bacteriophage PV2-35-1 of vibrio alginolyticus and an application of the specific bacteriophage PV2-35- The Vibrio alginolyticus phage PV2-35-1 is preserved in Guangdong Province Microbial Culture Collection Center (GDMCC) on December 1, 2025, the address is the fifth floor of the building 59, No. 100 Courtyard, Xianlie Middle Road, Guangzhou City, Guangdong Province, the postal code is 510070, and the preservation number is GDMCC No: 67384-B1. The Vibrio alginolyticus phage PV2-35-1 is named as Vibrio alginolyticus phage PV2-35-1. The head of the bacteriophage is of an icosahedron structure, the diameter is 57 + / -2 nm, the tail of the bacteriophage is a non-contractile long tail, the tail length is 154 + / -3 nm, and the bacteriophage belongs to the tailed bacteriophage and the long-tail bacteriophage family. The optimal infection complex number of the bacteriophage is 0.1, the incubation period is 40 min, the lysis period is 100 min, and the lysis amount is 248 PFU / mL.

The present disclosure provides systems and processes to screen for SARS-CoV-2. This disclosure teaches specific (and different) workable ranges for starting materials in a screening process for different SARS-CoV-2 variants (e.g., the Washington isolate, Alpha variant, Gamma P.1 variant, Beta variant, Iota variant, Delta variant, Omicron BA.1 variants, etc.). As shown herein, each variant has a different combination of starting materials and incubation periods, which further demonstrates the unpredictability of success that is associated with the disclosed systems and the disclosed processes. To be clear, the general ELISA process is well known by those having skill in the art. However, what is neither well known nor intuitive are the specific parameters associated with different process steps within ELISA. Those specific parameters are the subject of this disclosure.

The invention discloses a medicine for improving reproductive capacity, which is prepared by taking male tussah pupae as a raw material, the male tussah pupae of which the effective accumulated temperature is 160-200 DEG C after diapause is relieved are completely adopted to replace male silkworm moths, the medicine for improving reproductive capacity is prepared, and the preparation cost of the medicine is greatly reduced. Animal (mouse) experiment results show that compared with 100% male tussah moth powder, the prepared medicine can obviously promote the capture frequency and ejaculation frequency of mice, shorten the ejaculation incubation period and improve the reproductive capacity, and the effect is better.

The invention discloses a method for increasing the hatching rate of poultry hatching eggs. The method comprises the following steps: S1, selecting hatching eggs; s2, hatching egg disinfection; s3, preheating treatment; s4, hatching; s5, ventilation in the hatching period; s6, egg turning in the hatching period; s7, beating water to cool the eggs; s8, monitoring and adjusting the hatching process; s9, egg candling inspection; s10, carrying out tray falling operation; s11, performing hatching management; and S12, young poultry treatment. According to the method, waste heat in a hatching machine is effectively dispersed by adopting a method of beating water to cool eggs, embryos are prevented from being damaged due to too high temperature, meanwhile, necessary cold stimulation is provided for the embryos in the egg cooling process, normal development of the embryos is promoted, the body temperature adjusting capacity of the embryos is enhanced, the hatching rate is increased, the dead embryo rate is reduced, and the health degree of young poultry is improved. According to the method, the hatching rate is increased, the dead embryo rate is reduced, the health degree of young poultry is improved, the method is suitable for large-scale farms, and an efficient and reliable hatching solution is provided for small-scale farmers.

The present application relates to the technical field of aquaculture, and in particular to a method and system for regulating the incubation period of dark-striped pufferfish embryos based on an effective accumulated temperature model, an electronic device, and a storage medium. The method comprises the following steps: obtaining a target incubation period based on the incubation environment temperature; obtaining the actual expected incubation temperature for each day based on the effective accumulated temperature model and the target incubation period; obtaining the current actual incubation water temperature; and adjusting the current actual incubation water temperature to approach the actual expected incubation temperature for the day using a fuzzy control system. The present application uses a fuzzy PID temperature regulation algorithm for fish embryo incubation based on an effective accumulated temperature model, thereby achieving intelligent regulation of the water temperature for factory-scale embryo incubation.

The invention relates to the technical field of experimental animals, in particular to a hatching method of bacteria-limited chickens and application of the bacteria-limited chickens, and the hatching method comprises the following steps: disinfecting the surfaces of SPF hatching eggs by using alcohol with the volume fraction of 60-80% and ultraviolet rays every day during hatching, and disinfecting by using a formaldehyde fumigation method every other week. According to the method provided by the invention, a sterile environment in the hatching process is created through disinfection at a specific time, and the SPF hatching eggs in the hatching process are disinfected, so that the breeding of microorganisms on the surfaces of eggshells is inhibited, the microbial pollution in the exchange process of chick embryos and external environment substances is reduced to a great extent, and the survival rate of the chick embryos is increased. The bacterium-limited chicken with beneficial bacteria such as rumen bacillus, enterococcus, bacillus terminus and proteophilic bacteria is obtained, and no Chryseobacterium exists in the bacterium-limited chicken.

The embodiment of the invention provides instant detection equipment. The instant detection equipment comprises a scanning assembly, an incubation assembly, a detection assembly and a processor, the scanning assembly is used for acquiring a detection item of a sample, the incubation assembly is used for incubating the sample, and the detection assembly is used for detecting the incubated sample to obtain a detection signal; the processor is used for controlling the incubation assembly to incubate the sample according to a detection item of the sample, and controlling the detection assembly to detect the sample to obtain a detection signal of the sample no matter whether the sample type of the sample is obtained or not after the incubation of the sample is finished; and obtaining a sample type of the sample set by the user, and determining a detection result of the sample according to the sample type and the detection signal of the sample. The instant detection equipment provided by the embodiment of the invention is relatively high in detection efficiency, and can prevent the situation that the sample incubation time is too long or the incubated sample is stored too long when the sample incubation is finished, so that the detection result of the sample is inaccurate.

The present application belongs to the field of early nutrition of poultry in the livestock breeding industry, and relates to a method for increasing the hatching weight of chicks and promoting early growth and development and application, wherein taurine cholic acid solution is added to the air chamber of the chicken embryo; through observation of hatching time, incubation performance, growth performance, organ index, transport and absorption of nutrients in the yolk sac, and blood biochemical indicators, it is found that after the embryo egg is added with TCA, the hatching time of chicks is advanced, the incubation time is shortened, the embryo weight at E16 of chicks is significantly increased, the body weight of chicks after hatching is significantly increased, the growth of broilers during the feeding period after hatching is significantly promoted, and the leg muscle yield is significantly increased. In addition, the embryo egg added with TCA accelerates the transport of lipids in YSC to YSM by up-regulating the expression of E16 YSM and lipid transport related genes. The results show that the embryo egg added with taurine cholic acid can reliably promote the growth of broilers and laying hens during the incubation period and the growth of broilers after hatching.

A computer-implemented method of determining infectivity of a flavivirus-containing sample is described. The method includes receiving (S1), with a computing device (10), image data indicative of an image of at least a part of a container (50, 50a, 50b) comprising a composition containing host cells with one or more foci (51) generated by infecting the host cells with the flavivirus over an incubation period and optionally subsequent staining of the incubated host cells. The method further includes determining (S2) a number of foci (51) in the at least part of the container (50, 50a, 50b) based on processing the received image data with at least one trained deep learning algorithm of the computing device (10), wherein the number of foci (51) is indicative of the infectivity of the flavivirus in the sample.

The invention discloses a mycobacterium tuberculosis fusion protein LS2R as well as a construction method and application thereof, and belongs to the technical field of biomedicine. The mycobacterium tuberculosis fusion protein LS2R is successfully constructed by selecting four antigen proteins Rv2029c, Rv2131c, Rv2309c and Rv0867 from an active period antigen, an incubation period antigen and a recovery period antigen of M.tb and splicing genes by utilizing restriction enzyme cutting sites. The fusion protein can stimulate peripheral blood of M.tb infected people to generate high-level IFN-gamma, and the level of the IFN-gamma is higher than the corresponding level of each subcomponent protein. The fusion protein is mixed with a DG adjuvant to prepare an LS2R + DG multi-fusion subunit vaccine, and a mouse experiment proves that the vaccine not only can induce Th1 type immune response required for resisting M.tb infection, but also proves that the LS2R + DG multi-fusion subunit vaccine has stronger immune response potential in a primary immune enhancement strategy as an enhanced vaccine initially.