312 results about "Primary screening" patented technology

The invention discloses an automobile cushion sponge quality detection method based on artificial intelligence, and particularly relates to the field of quality detection.The method comprises the steps that sponge full-surface data is obtained and preprocessed, then detection units are divided according to double-layer grids, surface damage, stains and density uniformity are detected based on an artificial intelligence model, and preliminary screening is executed; if not, stopping the detection; after the primary screening is qualified, collecting internal structure data of the sponge, extracting defect characteristics, and carrying out a cyclic indentation test to obtain physical performance parameters; single-mode quality functions of the surface, the internal structure and the physical performance are constructed respectively, after function data are preprocessed and subjected to environment correction, primary filtering is performed firstly, then a D-S evidence theory is applied to perform multi-mode fusion decision so as to output a final quality judgment result, and meanwhile, detection data feedback optimization is combined to form a quality control closed loop, so that the quality control accuracy is improved. And intelligent and accurate detection of the quality of the automobile cushion sponge is realized.

The invention relates to a construction method of a metabolic syndrome phlegm syndrome lipid metabolism characteristic diagnosis model. The construction method comprises the following steps: S1, acquiring a serum sample; s2, carrying out lipid metabolite analysis through a full-quantitative lipidomics formula; s3, carrying out primary screening on differential metabolites; s4, optimizing the characteristic indexes by using a random forest algorithm and stepwise regression; and S5, constructing a differential metabolite diagnosis model through Logistic regression analysis. By analyzing differential lipid metabolites of patients with MetS phlegm syndromes and non-phlegm syndromes, the invention reveals that abnormal accumulation of lipid and lipid metabolites may be the core pathological parenchyma of MetS phlegm syndromes. By integrating lipid metabonomics data, using a random forest algorithm, stepwise regression and other methods to screen feature difference lipid metabolites and construct a MetS phlegm syndrome specific diagnosis model, a novel combined biomarker and evidence-based basis are provided for early diagnosis of MetS phlegm syndromes, and a scientific basis can also be provided for objective diagnosis of traditional Chinese medicine phlegm syndromes.

The invention relates to the technical field of bio-electricity signal acquisition, and particularly discloses a multi-channel bio-electricity signal acquisition system and a multi-channel bio-electricity signal acquisition method.The multi-channel bio-electricity signal acquisition system comprises a bio-electricity signal acquisition unit and a data processing unit; the data processing unit is used for compensating the original electrophysiological signals according to the real-time impedance value transmitted by the analog-to-digital conversion unit, performing primary screening on the original bio-electricity signals through the lowest quality threshold value, and performing primary compensation on the original bio-electricity signals according to the real-time impedance value, the standard impedance value and the breathing phase; according to the method, more flexible quality requirement setting is realized, the quality threshold setting difficulty is reduced, secondary screening is performed on the corrected bio-electricity signals through the highest quality threshold, and secondary compensation is performed on the corrected bio-electricity signals by adopting the LSTM network, so that the influence of bio-impedance fluctuation on the bio-electricity signals is reduced, and the quality of the bio-electricity signals is improved. And the acquisition quality and stability of the bio-electricity signals are improved.

The invention discloses a method for evaluating, depicting and dynamically monitoring the ecological self-purification capacity of a site, which comprises the following steps of: primarily screening indexes for evaluating, depicting and dynamically monitoring the ecological self-purification capacity of the site, determining a core ecological self-purification index and determining a weight; defining a pollution core area, a transition area and a background area; the terrain deviation is corrected, the threshold value is dynamically adjusted in combination with seasonal monitoring data, and high-precision demarcation of the ecological boundary is achieved; site investigation is carried out, and historical data of each pollution index is collected; determining a relationship between the evaluation index and the ecological self-cleaning capability, constructing a comprehensive evaluation model of the ecological self-cleaning capability of the site, and calculating a main component and an ecological self-cleaning capability score; according to the principal component score and the ecological self-cleaning ability score, drawing a single-index thermodynamic diagram and a comprehensive self-cleaning ability thermodynamic diagram, and realizing GIS space visualization ecological analysis; and performing dynamic detection and model optimization verification. According to the method, spatial description and optimization of the ecological self-purification capacity are achieved, and precise treatment and enhanced treatment of a polluted site are facilitated.

The invention relates to the technical field of intelligent agriculture, and discloses a farmland pest image recognition inspection robot which comprises a moving and navigation platform, a wide-area sensing and screening system, a multifunctional diagnosis and marking mechanical arm and a data processing and control unit. The wide-area sensing and screening system of the robot is used for primarily screening images to lock suspicious target plants; an active physiological probe and an in-situ micro-marking nozzle module are integrated at the tail end of the multifunctional diagnosis and marking mechanical arm. The method comprises the following steps: performing contact measurement on a suspicious target plant to obtain multi-modal physiological information and performing preliminary diagnosis; when the diagnosis state is suspected, performing in-situ micro-labeling on the plant; and after a preset time interval, repositioning the plant and retesting. According to the method, wide-area image screening and contact type time sequence physiological diagnosis are combined, and the accuracy of disease and pest diagnosis, the early warning capability and the decision reliability are remarkably improved.

The invention provides an intelligent optimization method and system for a mine water deep reinjection horizon, and the method comprises the steps: 1, constructing a three-dimensional geological twin body of a mining area, which comprises the definition of a multi-objective function: maximizing a safety objective f1; minimizing the economical efficiency target f2; the environmental protection target f3 is maximized; 2, multi-objective optimization and Pareto optimal solution set generation are carried out; step 3, intelligent decision and optimal horizon determination: step 301, selecting an optimal horizon; 302, chemical components of mine water are determined, and all buried layer positions are marked as preliminary screening layer positions; and step 303, obtaining comprehensive compatibility indexes of the preliminary screening horizon, and marking the preliminary screening horizon with the maximum value in the comprehensive compatibility indexes as a preferred horizon. According to the method, the horizon optimization efficiency is improved through dynamic modeling and multi-objective optimization, the optimization accuracy is ensured by means of multi-dimensional compatibility evaluation and multi-field coupling analysis, and a technical path with high efficiency and reliability is provided for scientific decision-making of the mine water reinjection horizon.

The invention discloses an early cancer screening model based on a cloud architecture and a construction method, and particularly relates to the technical field of medical artificial intelligence. The method comprises the following steps: firstly, collecting and normalizing heterogeneous medical image and biomarker data of a plurality of geographic areas, and constructing a unified data set; then extracting image features and marker features by adopting multi-task learning, fusing equipment and region attributes, establishing a joint representation vector, and training a preliminary screening model; after the model is deployed to a cloud end, target area data is adapted through online transfer learning, and an area model is generated; further extracting an activation heat map, identifying a weak signal high response area in combination with sensitivity analysis, comparing with manual annotation, constructing a local weight adjustment strategy based on errors, optimizing the model, and outputting a final model; the method improves the recognition capability of early lesions under the condition of low signal-to-noise ratio, is suitable for remote and basic screening scenes, and has a high practical value.

The invention discloses a method for analyzing component difference between Maotai-flavor yeast and yeast-making wheat by using non-targeted metabonomics. The method comprises the following steps: S1, pre-treating a sample; s2, detecting each sample by adopting the combination of an ultra-high performance liquid chromatograph and a quadrupole time-of-flight mass spectrometer; s3, acquiring original data, performing peak extraction, peak alignment and normalization by adopting metabonomics data analysis software, and evaluating the overall difference and intra-group variation among sample groups by adopting principal component analysis; constructing a grouping discrimination model through discriminant analysis of an orthogonal partial least square method; determining differential metabolites of the two groups of samples by taking variable projection importance (VIP) greater than 1 and statistical significance P less than 0.01 as a primary screening standard and combining a secondary screening standard that the difference multiple log2FC greater than 2 is up-regulated and the difference multiple log2FC less than-2 is down-regulated; s4, performing compound structure and category annotation on the screened differential metabolites through a metabolome database; and performing pathway enrichment analysis by adopting a statistical test method, and determining a core metabolic pathway enriched by the differential metabolites.

The invention provides a joint detection test strip for dengue virus and Zika virus antigens and antibodies and a preparation method of the joint detection test strip. According to the combined detection test strip, the combined detection test strip with the dengue virus NS1 antigen and the dengue virus IgG / IgM antibody adopts a multi-site recombinant antigen labeling or multi-site recombinant antibody coating form, so that the sensitivity of a reagent is improved; the problems of poor specificity and release residue of latex microspheres are solved by optimizing the confining liquid; colored latex microspheres are used as a marker, a detection target is more intuitively distinguished according to line colors, clinical result interpretation is facilitated, the accuracy of dengue virus infection and Zika virus infection is more quickly improved, and the dengue virus NS1, the Zika virus NS1 antigen, the dengue virus IgG / IgM antibody and the Zika virus IgG / IgM antibody can be detected at the same time; and the kit is convenient to carry, simple to operate, convenient for on-site instant detection and capable of performing large-scale preliminary screening.

The invention provides a computer-implemented method and system for non-invasive and step-by-step prediction of cancer risks and a storage medium. The method comprises the following steps: (1) determining a cancer signal score based on the level of a biomarker in a blood sample of a subject; (2) comparing the cancer signal score with a preset threshold value, and determining a primary screening positive subject; (3) further performing cancer risk determination and cancer species prediction by adopting an NGS method on the basis of the primarily screened positive subjects; wherein the biomarker is selected from at least one of AFP (Alpha Fetal Protein), CA125, CA15-3, CA19-9, CA72-4, CEA (Carcino Embryonic Acid), CYFRA (Cytochrome Factor Receptor Amplification) 21-1, ProGRP (Proso-Growth Radical Polymerase Chain Reaction), SCCA (Sequence

The present application belongs to the field of aquaculture, and particularly relates to a large-specification red paste Macrobrachium rosenbergii breeding method, which comprises the following steps: S1, seedling marking: seedlings are raised in a greenhouse, a pond, an adjustable feed throwing device and a networked automatic feed checking table are arranged in the greenhouse; the feed feeding amount of the adjustable feed throwing device is adjusted through feedback of the networked automatic feed checking table; water quality is adjusted by using micro-ecological preparation and bottom modification preparation; S2, initial screening of male and female: when the marking time is 45-50 days and the average specification reaches 1800-2000 tails / kg, initial screening of male and female is performed to reduce the density of the Macrobrachium rosenbergii in the greenhouse; S3, outdoor pond raising; S4, red paste fattening: female Macrobrachium rosenbergii are fattened with red paste, nutrition fattening feed is fed on Monday, Wednesday and Friday every week, snail meat, carrots and corn are used to replace part of the feed in turn, the replacement proportion is about 50%-60%, normal feed is fed at other times, the fattening period is 4-6 weeks, and the Macrobrachium rosenbergii are caught in late September to early October.

The invention belongs to the technical field of medical software development, and particularly relates to a plateau newborn inherited metabolic disease screening system, a computer readable storage medium and application of the plateau newborn inherited metabolic disease screening system. According to the screening system, an altitude hierarchical multi-level reference value database based on a local healthy newborn queue is established, and the problem that the false positive rate of a plain area screening model in a plateau area is too high is solved by fitting an altitude metabolism marker reference median and a standard deviation curve. By designing a'biochemical primary screening-risk scoring-targeted sequencing automatic triggering 'three-level joint control data processing flow, targeted sequencing guided by a crowd specific pathogenic mutation library is started only when the biochemical risk is high, unnecessary whole genome sequencing is avoided, and the screening cost is remarkably reduced. The system can continuously iterate a reference curve and a risk threshold value according to definite diagnosis data, and closed-loop dynamic optimization from sample collection to report generation is achieved. The method has plateau adaptability, crowd specificity and cost controllability, and has a good clinical application prospect.

This invention discloses a genetic transformation and gene editing method applicable to multiple sesquiterpene species, belonging to the field of plant genetic transformation and gene editing technology. The method uses the cotyledonary nodes of sterile seedlings of the sesquiterpene genus as explants, and introduces an optimized pScEF1α-Cas9 gene editing transformation vector using Agrobacterium infection. Regenerated plants are obtained through recovery culture, selection culture, and rooting culture. The vector contains four gene expression units: pScEF1α:Cas9, pGmU6:sgRNA, pGmUBI:DsRed2, and pCaMV35S:HygR. In vivo screening is further performed using the DsRed2 fluorescent reporter gene, and the gene-edited plants are identified by molecular detection. This method is applicable to common sesquiterpene, stem-nodled sesquiterpene, and spiny sesquiterpene, and has advantages such as strong species versatility, high transformation efficiency, short cycle, visualized screening, and high positive rate, providing efficient technical support for gene function research and genetic improvement of sesquiterpene species.

The utility model relates to the technical field of medicine raw material crushing and screening devices, and discloses a raw material crushing and screening device for compound sulfamonomethoxine sodium, which comprises a crushing mechanism, a primary screening mechanism arranged at the bottom end of the crushing mechanism and used for primarily screening the compound sulfamonomethoxine sodium raw material, and a secondary screening mechanism arranged at the bottom end of the crushing mechanism, a secondary screening mechanism used for conducting secondary screening on the compound sulfamonomethoxine sodium raw materials is arranged in the box body. The raw material of the compound sulfamonomethoxine sodium is crushed by arranging the crushing mechanism, and the crushed raw material of the compound sulfamonomethoxine sodium is primarily screened by arranging the primary screening mechanism; the secondary screening mechanism is arranged to conduct secondary screening on the raw materials of the compound sulfamonomethoxine sodium subjected to primary screening, and the function of conducting multiple times of screening on the raw materials of the compound sulfamonomethoxine sodium is achieved.

This utility model discloses a sand and gravel removal device for intelligent sorting of food ingredients based on photoelectric sensing. It includes a belt conveyor, a dispersing mechanism, a primary screening mechanism, and a control mainboard. A column is fixedly installed on one side of the belt conveyor, and a connecting rod one is fixedly installed on the outer wall of the middle part of the column. A connecting rod two is fixedly installed on one side of the upper end of the column. The primary screening mechanism is fixedly installed on one side of the column, directly above the belt conveyor. The dispersing mechanism is fixedly installed on one side of the connecting rod two. The primary screening mechanism filters out fine sand and gravel, thus reducing the detection range of the device. The remaining food ingredients and large sand and gravel mixture are sent to the sorting cylinder. Because the opening of the sorting cylinder is small, only a small amount of food ingredients and sand and gravel can pass through at a time, further reducing the detection range of the device. By performing preliminary screening of food ingredients and sand and gravel while controlling the detection inlet, the scope of the device's inspection is reduced, thereby reducing the required precision and cost of the device.

The application provides a gradient temperature difference processing method for preventing and controlling rancidity and deterioration of rice bran decoction pieces, comprising the following steps: sequentially subjecting newly harvested rice bran to low-temperature rapid cooling, medium-temperature roasting, high-temperature roasting and second ultra-low-temperature rapid cooling after removing impurities by primary screening, so as to prevent and control rancidity and deterioration of rice bran decoction pieces. The application utilizes rapid and strong temperature difference change to prevent and control the reaction after grinding contact oxidation, destroys the autoxidation system of rice bran, effectively prevents and controls the generation of oxidized toxic substances and the breeding and pollution of harmful microorganisms, and ensures the safety and effectiveness of medication.

The application discloses a method for synthesizing reverse transcriptase: obtaining a target reverse transcriptase expression sequence based on database primary screening; obtaining a candidate reverse transcriptase expression sequence by using a fluorescent reporter system to rescreen the target reverse transcriptase expression sequence; and determining a synthetic reverse transcriptase expression sequence by using the fluorescent reporter system after optimizing the candidate reverse transcriptase expression sequence. The application further screens a plurality of natural or engineered small reverse transcriptases in view of the bottleneck of the prior art, and verifies the applicability of the reverse transcriptases in prime editing. The technology is expected to break through the application limitation of the existing prime editing system, and provide more efficient and safer precise editing tools for the fields of genetic disease treatment, agricultural breeding and synthetic biology.

The invention provides a beta-glucosidase mutant from Paenibacillus phyllosphaerae, and a method for efficiently preparing rare ginsenoside F2 by using an enzyme method and a whole-cell method, and particularly provides a beta-glucosidase mutant from Paenibacillus phyllosphaerae and a method for efficiently preparing rare ginsenoside F2 by using a beta-glucosidase mutant from Paenibacillus phyllosphaerae. The method comprises the following steps: engineering-modifying beta-glucosidase by utilizing computer-aided design, constructing a mutant library, carrying out primary screening and secondary screening to obtain two high-activity mutants Q7D and G189A, constructing a combined mutant Q7D / G189A, transforming the combined mutant Q7D / G189A into genetically engineered bacterium escherichia coli for expression, and producing F2 by utilizing a whole-cell method. Finally, the highest yield of 18.01 g / L is achieved after the reaction is carried out for 10 h in a 5 L fermentation tank and is 6.82 times that of a shake flask, and the purity of F2 reaches up to 82.20% after the reaction is carried out for 24 h finally. The invention not only provides an efficient solution for large-scale production of rare saponin F2, but also provides a transferable framework for designing and engineering diversified glycoside hydrolase in customized biological catalysis.

The application discloses a digital image quantitative dual-mode detection system and method based on a cascade enhanced nano-enzyme, which comprises a probe prepared from a membrane nano-enzyme material, an immunochromatography test strip and a signal automatic analysis system, the nano-enzyme material takes molybdenum disulfide nanosheets as a substrate, sequentially loads large-diameter platinum-iridium alloy particles and small-diameter platinum-iridium alloy particles through polyethylene imine-mediated electrostatic self-assembly, and forms a high-density catalytic active site array. The probe is coupled with specific antibodies on the surface of the nano-enzyme material. Based on the inherent light absorption and peroxidase-like activity of the probe, a dual-mode detection strategy of physical color development-catalytic enhancement is established, high-concentration sample visual preliminary screening and low-concentration sample ultra-sensitive quantitative detection are realized, and combined with an adaptive cross-peak colorimetric quantitative algorithm, individual visual perception differences can be effectively eliminated, and on-site rapid quantitative screening of community-acquired pneumonia pathogens such as streptococcus pneumoniae and legionella pneumophila can be realized.

The embodiment of the present application relates to the technical field of breeding management, and discloses a selection and breeding method based on multidimensional data, which comprises the following steps: determining the feather characteristic parameters of chicks according to feather characteristic information and pixel point size; determining the gender and predicting the growth parameter information of the corresponding chicks according to the length of the primary wing feather and the length of the over primary wing feather, and performing primary screening according to the predicted growth parameter information; inputting the image information of the breeding hen into a feature recognition model to obtain the corresponding characteristics of the breeding hen; inputting the comb image into a comb recognition model to determine the corresponding comb type; if the feather color, the chicken toe color and the comb type match the breed parameters of the corresponding breeding hen, then the breeding hen is kept and caged, and the individual characteristic parameters are recorded. The scheme of the embodiment of the present application realizes the deep fusion of image recognition technology and multidimensional phenotype data, constructs a full-cycle accurate selection and breeding system from chicks to breeding hens, and realizes the automation of gender identification, the standardization of breed verification and the intelligentization of growth prediction.

The invention discloses a multi-dimensional progressive quality control method for observation data of a laser raindrop spectrometer, and belongs to the technical field of weather monitoring, and the method comprises the steps: calculating the total number of raindrop particles recorded in all gears in a single minute, carrying out the primary screening of the total number of raindrop particles recorded in the single minute, and judging the number of screened particles; inverting rainfall intensity based on the raindrop spectrum, and performing secondary screening; fourthly, a diameter-speed distribution fitting judgment module is used for conducting quartic polynomial fitting, a decision coefficient is calculated, the calculated decision coefficient is judged, and a fitting curve is compared with a raindrop falling final speed theoretical model; an abnormal gear data rejecting module is used for checking the speed deviation gear by gear and rejecting abnormal gear data; and outputting final data after verification. According to the method, non-rainfall interference data, low-rainfall noise, abnormal data deviating from a theoretical model and data conflicting with external observation are sequentially eliminated through a step-by-step screening mechanism, quality control is performed on the observation data of the laser raindrop spectrometer, and the reliability of the data of the laser raindrop spectrometer is effectively improved.

The invention relates to the technical field of high-temperature cracked glaze frit collection, and discloses a high-temperature cracked glaze frit collection device and a use method thereof, and the high-temperature cracked glaze frit collection device comprises a treatment box body and a filtering part which form the collection device. Glaze frits at the top of a second-stage screening plate can be cleaned through a first discharging assembly, glaze frits at the top of a third-stage screening plate can be cleaned through a second discharging assembly, and the situation that the glaze frits at the tops of the two first-stage screening plates are discharged from two first-stage discharging holes in the screening process of the two first-stage screening plates is avoided through an intercepting assembly; and a first collecting assembly can collect glaze frits entering a plurality of flow dividing holes, a second collecting assembly collects glaze frits at the tops of two first-stage screening plates, the effect that the glaze frits of different sizes can be distinguished and classified in the glaze frit collecting process is achieved, and the problems that the screening effect is not good enough, and the screening efficiency is high are solved. And the collecting device cannot distinguish the high-temperature cracked glaze frits in various sizes and classify the high-temperature cracked glaze frits in the collecting process.

This invention relates to a method for rapidly screening filamentous fungi that produce high levels of triglycerides and polyunsaturated fatty acids, belonging to the field of microbial technology. The method employs a two-stage screening strategy of "resistance primary screening – fluorescence secondary screening." In the primary screening stage, strains with strong lipid synthesis capabilities are initially screened by adding a combination of phytocyanin and quizalofop-p-ethyl inhibitors to the culture medium. In the secondary screening stage, cellophane culture technology and Nile red fluorescence staining are combined to quantitatively assess the triglyceride content of the colonies, achieving rapid and non-destructive screening. This method is simple to operate, highly efficient, and shows a significant positive correlation between fluorescence intensity and triglyceride content. It is suitable for mutagenesis breeding and industrial strain selection of oil-producing filamentous fungi such as *Morchella alpineensis*.

The application discloses a screening device for heavy calcium carbonate particles, and relates to the technical field of screening, which comprises a frame body, an outer cover installed on the frame body, a support frame fixedly installed in the outer cover, a double-screen assembly rotatably installed on the support frame, and a primary screen assembly rotatably installed in the double-screen assembly, and a tumbling assembly matched with the primary screen assembly is installed on the support frame. Advantages are as follows: the heavy calcium carbonate particle screening device realizes two-stage screening through reverse rotation of double rollers, utilizes the staggered effect to diffuse materials and improves the efficiency; a driving motor is provided to drive a filter plate to scatter the accumulated materials of the inner roller, so that the diffusion of the materials is accelerated; a gas injection rotating pipe with fins is used to further diffuse the materials through pulse blowing, and dust is sucked and discharged at the same time; the rotating pipe is controlled to rotate at variable speed through gas injection pressure, and an elastic expansion rod cooperates with a counterweight ball to knock and vibrate, so that the rotating pipe is prevented from being blocked.

The invention provides a method for screening acid-producing strains, which comprises the following steps: 1) mutagenizing original strains, and constructing a mutant library; 2) primarily screening mutants in the mutant library by using a calcium carbonate transparent ring method or a pH indicator method to obtain primarily screened strains; (3) inoculating the primarily screened strains into a solid culture medium, culturing, selecting single colonies with the same diameter after the colonies grow out, punching the single colonies with the same diameter by using a punching device to obtain gel blocks of the solid culture medium with the same size or basically the same size, and culturing all the gel blocks under the same or basically the same condition to obtain gel blocks of the solid culture medium; recording the time when the gel block completely becomes transparent or changes color, and screening out secondary screening strains according to the time; 4, the secondary screening strains are subjected to fermentation culture, the yield of the organic acid is detected, and the acid-producing strains are screened out according to the yield of the organic acid.The method is simple and easy to operate, and the target strains can be more accurately and rapidly screened out.

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 invention provides a tussah tussah tall thousand-grain cocoon redirection breeding method which comprises the following steps: partitioning a breeding basic group of tussah, and stocking in a plurality of moth regions under the same ecological condition; after cocooning, measuring the weight of thousand cocoons by taking the moth area as a unit, and screening out a target moth area based on a measurement result; performing sex identification and whole cocoon quantity measurement on the silkworm cocoons in the target moth area, and screening out a target female individual set and a target male individual set according to data of the whole cocoon quantity; regulating and controlling the eclosion time of individuals in the target female individual set and the target male individual set to synchronize the eclosion time, and performing directional mating between the two sets according to a preset pairing rule based on the data of the total cocoon amount; and taking the filial generation obtained by directional mating as a breeding base population of the next generation, and carrying out continuous multi-generation directional breeding until a tussah silkworm strain with stable thousand-grain cocoon weight character is obtained. According to the method, a breeding path of primary screening, fine screening, directional mating and multi-generation closed loop is constructed, so that breakthrough increase of thousand-grain cocoon weight is realized.

The invention discloses a glass bead feeding device and method for radioactive waste liquid glass solidification, the glass bead feeding device comprises a drying primary screening device, a fine screening device, a storage bin and a discharging device which are sequentially arranged according to the flowing sequence of glass beads, the drying primary screening device comprises a baking box, and a heater is arranged at the top in the baking box; a feeding hopper and a discharging hopper are arranged on the two sides of the baking box respectively, the fine screening device is arranged below the discharging hopper, a primary screening mechanism located between the feeding hopper and the discharging hopper is arranged in the baking box, and the primary screening mechanism is used for primarily screening out glass beads meeting the particle size and conveying the glass beads to the discharging hopper. The screening device has the advantages that the follow-up screening pressure is reduced, the number of times of cleaning the screen is reduced, and the working efficiency and the screening precision are improved.

The invention discloses a construction method of a cabbage efficient genetic transformation regeneration system. The method comprises the following steps: (1) culturing aseptic seedlings; (2) preparing an explant; (3) preparing agrobacterium dip dyeing liquid carrying a target carrier; (4) carrying out dip dyeing and co-culture on the explants; (5) callus differentiation and bud induction; and (6) growing seedlings and rooting, and carrying out PCR (Polymerase Chain Reaction) and Western blot identification on the obtained plants. By optimizing key parameters and vector selection of the cabbage genetic transformation method, compared with the prior art, the method has the advantages that antibiotics are not needed for preliminary screening in the regeneration process, hormone is not needed in the rooting process, the cost is low, the transformation period is short (greater than or equal to 45 days), the regeneration frequency is high, the transformation efficiency is high, and subsequent related protein research work can be conveniently carried out; the important value is realized on shortening the cabbage gene function research period.

The invention relates to the technical field of microbial metallurgy, in particular to a method for strengthening leaching of rare earth elements by rare earth-resistant biological acid flora through gradient stress domestication, which comprises the following steps: selecting an original strain of thiobacillus thiooxidans for ultraviolet radiation mutagenesis, and primarily screening mutant strains through a high-throughput screening condition; carrying out compound induction on the culture medium and carrying out four-stage stress domestication on the screened strains; selecting a composite carrier, and curing the domesticated bacterial liquid and the carrier; the industrial microbial inoculum is prepared based on microbial inoculum production and rare earth leaching processes. According to the method for strengthening leaching of the rare earth elements from the rare earth-resistant biological acid flora through gradient stress domestication, rare earth concentration gradient-pH gradient-temperature fluctuation-tailing matrix substitution is constructed as a gradient stress domestication stage, and a composite induction culture medium is combined to realize directed evolution of flora genomes, so that comprehensive improvement of stress resistance indexes is ensured; by designing a composite carrier structure and introducing an immobilization process, a carrier immobilization technology is realized to guarantee industrial stability.