425 results about "Metabolic activity" patented technology

The invention relates to the technical field of the Internet of Things, in particular to a rice wine fermentation monitoring system based on the Internet of Things, in the rice wine fermentation monitoring system, a model construction module fuses a material heat conduction and gas diffusion equation to form a physical field calculation substrate, and a metabolic environment dynamic coupling function is embedded to generate a joint calculation model; the inversion analysis module takes temperature and humidity data of the sensor as boundary constraint, microbial metabolic rate parameters are iteratively corrected through reverse parameter optimization, a global metabolic activity spatial distribution field is generated, and the limitation of traditional point-like monitoring on spatial heterogeneity perception is broken through; the deduction and prejudgment module initializes a model through the active field, outputs a double-change curve of the temperature field and the active gradient, captures a critical mutation point, and then generates a targeted control signal based on space coordinates and a prejudgment time window, so that advanced regulation and control of the key turning point are realized, and the fermentation stability and the flavor quality are maintained.

The invention discloses a composite denitrification accelerant and a preparation method thereof, and belongs to the technical field of sewage treatment. The carbon source composite material is prepared from the following raw materials in parts by weight: 30-50% of a carbon source, 2-5% of vitamins, 2-5% of amino acids, 1-3% of a biological stimulant, 1-2% of signal molecules, 1-5% of metal elements, 3-5% of a pH regulator and 25-60% of water. Through metabolites such as vitamins, amino acids and biological stimulants, growth and reproduction of denitrifying bacteria are promoted, and functions of related enzymes in the denitrification process are improved. The signal molecule optimizes the metabolic activity of bacteria by regulating and controlling the expression of genes, related to the denitrification process, of the denitrifying bacteria. The metal ions can enhance the activity of the denitrifying enzyme, so that the efficiency of denitrification treatment is improved. According to the denitrification accelerant, the denitrification process is promoted through the synergistic effect of three aspects of growth and reproduction of denitrifying bacteria, expression of denitrification genes and improvement of activity of denitrification-related enzymes.

The invention relates to the technical field of material testing, and particularly discloses an intelligent quality detection method and system for a micro-mineral bio-organic fertilizer, local thermal excitation is applied to a fertilizer sample through a micro-area thermal pulse excitation device, a gas release kinetic curve and a spectrum change track are synchronously collected, and a gas spectrum coupling data cube is constructed; performing differential transformation and modal decomposition on the time sequence feature set, extracting transient response feature vectors and generating an activity response distribution diagram; establishing component-activity correlation analysis, and decoupling biological metabolic activity and matrix background interference through feature separation and a comparative learning strategy to obtain a dynamic metabolic fingerprint; constructing a multi-dimensional feature space by using the dynamic metabolic fingerprints and the apparent characteristic parameters, and performing information aggregation and feature reconstruction by using a graph convolutional network to generate a comprehensive quality index; and finally, realizing quality grade judgment based on a quality characteristic pyramid structure, and establishing a dynamic early warning mechanism by analyzing time sequence evolution characteristics of the activity response distribution diagram.

The invention relates to the technical field of component monitoring, and discloses a compost fermentation process material component intelligent monitoring method comprising the following steps: collecting compost process environment data and compost process material component data in a compost process, and carrying out thermophilic bacteria metabolic activity on-line prediction to obtain a flora metabolic activity index; receiving the composting process environment data, the composting process material component data and the flora metabolism activity index by using the lightweight material component inversion model, and generating an optimal material component ratio; and comprehensively adjusting the material components in the composting fermentation process by using the optimal material component ratio. According to the method, environmental data and material component data in the composting process are collected in real time, the metabolic activity index of thermophilic bacteria is predicted on line, the optimal material component proportion is generated on the basis of a lightweight material component inversion model in combination with the environmental data, the material component data and the metabolic activity index, and the material components in the composting fermentation process are comprehensively adjusted, so that the composting fermentation efficiency is improved. Therefore, the composting effect is optimized.

The invention discloses a multi-modal image auxiliary diagnosis system based on endometriosis and a medium. The system comprises a determination module, a diagnosis module and a diagnosis module, wherein the determination module is used for determining focus position information, a metabolic activity analysis result and hemodynamic characteristic data according to a near infrared spectrum image, a magnetic resonance image and an ultrasonic image of a human body; the extraction module is used for extracting lesion feature information from different modal images; the optimization and reconstruction module generates a focus multi-modal image according to the focus feature information, processes the focus multi-modal image to obtain a focus three-dimensional model, and obtains a focus morphological feature quantized value based on the focus three-dimensional model; and the diagnosis module inputs the medical record related information, the focus morphological characteristic quantized value, the metabolic activity analysis result and the hemodynamic characteristic data into a preset focus comprehensive diagnosis model, and outputs a diagnosis result of endometriosis. According to the method, the multidimensional information is analyzed through the preset focus comprehensive diagnosis model, and accurate diagnosis of endometriosis is realized.

The invention discloses a method for strengthening chalcopyrite leaching through leptospirillum ferriphilum inducers, and belongs to the technical field of mineral biological leaching. The invention discloses a method for strengthening chalcopyrite leaching through a leptospirillum ferriphilum inducer. The bioleaching process of chalcopyrite is regulated and controlled through the leptospirillum ferriphilum inducer. According to the method for strengthening chalcopyrite leaching through the leptospirillum ferriphilum inducer, through the specific regulation and control effect of the leptospirillum ferriphilum inducer, the metabolic activity and environmental tolerance of microbial communities in the chalcopyrite bioleaching process are improved, and therefore the bioleaching efficiency of chalcopyrite is remarkably improved.

The invention provides a monascus drying degree real-time control method which comprises the following steps: monitoring the surface moisture content, internal metabolic activity index and pigment content change of mycelium in a monascus drying process, and generating a mycelium state distribution diagram; extracting moisture gradient characteristics and metabolic activity parameters from the mycelium state distribution diagram, analyzing a relationship between a moisture evaporation rate and mycelium activity, and determining a dynamic trend of moisture gradient and activity change; analyzing the dynamic trend of the moisture gradient and the activity change, determining the relationship between the moisture gradient and the activity change through a fitting curve, and predicting the change trend of the moisture and the activity of the mycelium in different drying stages; aiming at a moisture distribution non-uniformity index, the uniform distribution of heat in the red yeast rice is improved by optimizing an air supply mode, so that the moisture evaporation rate deviation is reduced, and a temperature and humidity control sequence is obtained.

The invention relates to the technical field of immune cell culture, in particular to an immune cell culture data monitoring method and system based on activation analysis. When the immune cell culture equipment monitors that the signal protein is conducted on the abnormal standard signal channel, the real-time metabolic network is reduced based on the interference degree of the abnormal standard signal channel on the metabolic pathway, the metabolic enzyme concentration is calculated and analyzed, and a metabolic activity monitoring reference is generated; if it is monitored and detected in real time that unreasonable metabolism conditions exist in metabolic data of immune cell culture, peak integral deviation parameters for cell factor compensation are constructed based on the metabolic enzyme concentration deviation value of the metabolic activity monitoring benchmark to conduct injection compensation regulation and control on cell factors of the cultured immune cell sample. According to the method, the abnormal proliferation data, the abnormal proliferation-causing signal path data and the metabolic data in the immune cell culture process can be subjected to rapid and accurate activation analysis, so that the immune cell activation performance can be better optimized, and the culture quality is improved.

The invention relates to the field of biological detection, in particular to a positive sample pretreatment kit and application thereof. The method comprises the following steps: providing a simple survival environment for bacteria by utilizing incubation liquid, and then utilizing the interaction of opposite electric properties between chemical magnetic beads and the bacteria, that is, when the bacteria in a positive sample are negatively charged, the chemical magnetic beads are positive magnetic beads; or when the bacteria in the positive sample are positively charged and the chemical magnetic beads are negative electromagnetic beads, the bacteria-magnetic bead compound is obtained, the operation is simple, the cost is low, the enrichment efficiency is high, the impurity interference resistance is high, the activity state of the enriched bacteria is not changed, the method can be used for subsequent mass spectrum identification and metabolic activity analysis, the application range is wide, and the method is suitable for popularization and application. Various in-vitro samples can be universally enriched, and the method has great significance on the development of the IVD field.

The invention discloses a mutton quality index intelligent hyperspectral image detection method, and belongs to the technical field of hyperspectral image detection.The mutton quality index intelligent hyperspectral image detection method comprises the steps that the surface of a mutton sample is scanned by rotating a polarized light source, and a muscle fiber four-direction light field matrix is generated. A three-dimensional muscle fiber topological graph is constructed, Gaussian curved surface fitting and iterative optimization of an energy function are combined, segmentation precision and robustness of geometric modeling are remarkably improved, reliability and multi-scale adaptability of muscle fiber spatial distribution analysis are improved, and by fusing the sarcomedo contraction state, intermuscular fat marks and metabolic activity, the segmentation accuracy is improved. And a tenderness-freshness comprehensive decision is generated through dynamic weight distribution and a nonlinear scoring formula, so that multi-dimensional data complementation is realized, and the comprehensiveness and automatic decision-making capability of quality grading are improved.

The invention discloses an application of a compound in preparation of a product for enhancing the metabolic activity of hematopoietic stem cells and treating metachromatic white matter dystrophy. The compound comprises Azoramide. Azoramide is adopted to treat transfected hematopoietic stem cells, and cell apoptosis, cell necrosis and mitochondrial respiration conditions of the hematopoietic stem cells are obviously improved, so that the hematopoietic stem cells are expected to be applied to enhancement of transfection efficiency and metabolic activity of the hematopoietic stem cells transfected by the ARSA gene and reduction of ROS generation, and the effectiveness of the hematopoietic stem cells in treatment of MLD diseases is enhanced.

The invention belongs to the technical field of soil heavy metal pollution remediation, and discloses a heavy metal pollution soil bioremediation method and system based on soil metagenome sequencing, and the method comprises the following steps: carrying out gene sequencing on experimental microorganism class groups in heavy metal pollution soil to determine functional microorganisms containing heavy metal resistance genes; heavy metal resistant microorganism species in the soil can be accurately identified by judging whether functional genes are contained or not, and ecological unbalance possibly caused by blind introduction of alien species is avoided; a remediation strategy taking a microbial resistance mechanism as a core can effectively reduce the bioavailability of heavy metals in the soil, and also can improve the physicochemical properties of the soil through metabolic activity to form a sustainable remediation effect; the method has the advantages of being environmentally friendly, controllable in cost, lasting in effect and the like, and an innovative path is provided for soil ecological function restoration.

The invention discloses a self-repairing synchronous grouting material and a preparation method thereof, and belongs to the technical field of grouting materials. The self-repairing synchronous grouting material comprises a cement base material, a microbial capsule and chitosan calcium salt, the concrete comprises the following raw materials in parts by mass: 7-12 parts of Portland cement, 20-28 parts of fly ash, 40-55 parts of quartz sand, 20-30 parts of water, 2-7 parts of bentonite, 1-5 parts of microbial capsules and 1-5 parts of chitosan calcium salt. The self-repairing synchronous grouting material disclosed by the invention is combined with a microorganism self-repairing technology, and mineral substances such as calcium carbonate and the like can be generated through metabolic activity of microorganisms when the material has cracks, so that the cracks are automatically filled, and expansion of the cracks on the surface of a concrete material can be effectively prevented; the grouting material can continuously repair microcracks caused by environmental changes or construction stress in the long-term use process, and the integrity and stability of the structure are kept.

The invention discloses a ground trough type planting and cultivation management system applied to a greenhouse, and belongs to the technical field of crop planting, and the system specifically comprises a parameter collection module which is used for monitoring the fertilizer absorption behavior of a root system in a planting trough in real time, the planting trough is laid with a composite film, and the metabolic activity parameters of the root system are obtained through a non-invasive sensing technology; the demand division module is used for dividing a seedling stage, a vegetative growth stage and a reproductive growth stage according to crop growth stages, and establishing a differentiated demand model of water and fertilizer absorption of root systems in each stage; the instruction generation module is used for constructing a drainage frequency self-adaptive adjustment strategy, performing multi-dimensional correlation analysis on the root metabolism activity parameters, the matrix osmotic pressure and the environment evaporation rate, and generating a drainage time sequence control instruction matched with the growth stage; the drainage control module is used for placing a perforated drainage blind pipe at the bottom of a planting groove according to the drainage time sequence control instruction and controlling the cooperative action of a drainage valve group through regional gradient; scientific drainage management is achieved.

The invention discloses a complex medical image intelligent recognition system and method based on deep learning, and relates to the technical field of medical image.The system comprises an anatomical image data acquisition module, an anatomical image data analysis module, a functional image analysis module and a medical image evaluation module. By combining the anatomical image, collecting the anatomical information, evaluating the image evaluation index of each anatomical tissue of the medical image and matching each risk tissue, subjective deviation of manual measurement is avoided, the risk tissue detection efficiency and positioning precision are improved, and the processing efficiency is improved. According to the method, the cell metabolic activity of each risk tissue is captured, the functional influence assessment index of each risk tissue of the medical image is assessed, the medical image recognition coincidence value is assessed and optimized, the limitation that only the morphological structure is observed in the traditional anatomical image is broken through, the diagnosis accuracy and reliability are improved, and the medical image diagnosis development is promoted.

The invention discloses a preservation and refrigeration method of pears, which comprises the following steps: (a) pretreatment after picking, (b) stepped precooling, (c) dynamic controlled atmosphere refrigeration, and (d) regular monitoring of gas components. CaCl2 and tea polyphenol composite treatment is adopted to enhance the cold resistance and disease resistance of fruits, and the metabolic activity is gradually reduced in combination with a three-stage stepped precooling process, so that the preservation and refrigeration effects of the pears are improved; and the respiratory metabolism is precisely regulated and controlled by matching with staged dynamic air-conditioned storage. The method breaks through the bottleneck of the traditional refrigeration technology, prolongs the storage period of the pears to 6-8 months, reduces the rotting rate, is suitable for large-scale commercial preservation, and has remarkable economic value and technical advantages.

The invention relates to the field of image processing, in particular to an adrenal metastatic tumor image feature visualization method and system. The method comprises the following steps: collecting an adrenal metastatic tumor PET-CT image, carrying out spatial deviation elimination and image fusion optimization, and constructing a cross-modal standard fusion image; performing adrenal gland network segmentation and three-dimensional voxel reconstruction on the cross-modal standard fusion image, and constructing a three-dimensional adrenal gland voxel rendering model; extracting a metastatic tumor area sub-model based on the three-dimensional adrenal voxel rendering model, performing multi-time-point metabolic information change calculation, and constructing a metastatic tumor dynamic metabolic change curve; and performing internal metabolic activity distribution characteristic and heterogeneity color mapping according to the metastatic tumor dynamic metabolic change curve, and constructing an internal metabolic activity distribution diagram. According to the invention, accurate image presentation is provided, so that the morphology, metabolism and growth conditions of metastatic tumors are more intuitive and clearer.

The invention provides a livestock oxidative stress reaction prediction method and system, and the method comprises the steps: obtaining a real-time physiological monitoring data set with a timestamp mark of a livestock group, carrying out the feature extraction of the real-time physiological monitoring data set, and obtaining a target physiological index feature reflecting an oxidative stress state, the target physiological indexes comprise metabolic activity characteristics, oxidation product accumulation characteristics and anti-oxidation response characteristics. Calling a pre-training model to carry out time sequence correlation analysis on the target physiological index features, and generating an oxidative stress state prediction sequence; and determining a target individual with oxidative stress reaction and reaction development stage information according to the prediction sequence, and finally generating an oxidative stress reaction prediction result for the target individual. Therefore, the oxidative stress reaction of the livestock and poultry can be accurately predicted in real time.

The invention discloses a method and a system for detecting yeast metabolic activity in a beer fermentation process, relates to the technical field of yeast metabolic activity detection, and aims to solve the problem of inaccurate acquisition of yeast metabolic activity change in the beer fermentation process. And the metabolite data is mapped into the classification rule, so that the accuracy and scientificity of classification are improved. The total relative abundance of each classification type and the relative abundance of different fermentation stages are calculated through statistical analysis, a reliable data basis is provided for dynamic change speculation, static metabolite data are concerned, relative abundance change data are obtained through dynamic change speculation, and the relative abundance of the fermentation stages is obtained. Therefore, metabolic activity changes of the yeast in the beer fermentation process can be reflected in real time, quantitative analysis and qualitative analysis are combined, obtained data are more comprehensive and accurate, and the metabolic activity of the yeast in the beer fermentation process can be known more deeply.

The invention provides a saccharomycopsis fibuligera fermentation broth, a preparation method and application thereof, and belongs to the technical field of microbial fermentation, the saccharomycopsis fibuligera fermentation broth is prepared by fermentation of saccharomycopsis fibuligera, the saccharomycopsis fibuligera is one of saccharomycopsis fibuligera strains CICC 33377, CICC 1803, CCTCC CB 20081663 and CCTCC DY 20081403, a culture medium for fermentation contains rice bran powder, and the culture medium is a culture medium for fermentation of the saccharomycopsis fibuligera. The saccharomycopsis fibuligera fermentation liquor contains gamma-oryzanol. Through the metabolic activity of saccharomycopsis fibuligera, beneficial components, especially gamma-oryzanol, in the rice bran are extracted at a high level, and the economic value of the rice bran is remarkably improved.

The invention relates to the field of probiotic fermentation, and discloses a probiotic fermented beverage prepared from sea buckthorn fruit peptide and morinda citrifolia fruit peptide and a preparation method thereof, and the probiotic fermented beverage is prepared from the following components by weight: 10-15 parts of a sea buckthorn fruit peptide extract, 8-12 parts of a morinda citrifolia fruit peptide extract, 5-8 parts of a composite probiotic starter, 3-5 parts of fructo-oligosaccharide, and 1-2 parts of a natural sweetener. According to the present invention, the sea buckthorn fruit peptide and the morinda citrifolia fruit peptide are scientifically compounded, such that the synergistic interaction of the two plant active components is achieved, the double-fruit peptide matrix provides the differentiated nutrition supply for the composite probiotics, and the fermentation efficiency is improved through the nutrition complementation; according to the present invention, with the fermentation medium, the growth requirements of different strains are met, the proliferation efficiency and the metabolic activity of the probiotics are significantly improved, the industry problems of poor strain adaptability and low viable count in the traditional single-substrate fermentation are solved through the innovative compatibility, and the fermentation process is stable and efficient.

The invention relates to the technical field of breeding equipment, and particularly discloses a corn breeding germination device. The device comprises a box body and a top cover, wherein the interior of the box body is divided into an upper area and a lower area through a middle partition plate. A supporting structure used for placing the bearing frame is arranged on the middle partition plate, and corn seeds can be borne on the bearing frame. When the rotating piece ascends, the water body in the lower half area of the box body can be extruded, so that the air pressure in the area is increased. The solubility of oxygen in water can be remarkably improved by controlling the air pressure within the range of 1-3 atmospheric pressures. The oxygen environment with high solubility can enhance the respiration of the corn seeds and promote the physiological metabolic activity of the corn seeds. Meanwhile, the water absorption rate and the oxygen utilization rate of the seeds under the high-pressure condition are improved, and then the germination efficiency and the germination rate of the corn seeds are effectively improved. According to the design, through the synergistic effect of a mechanical structure and air pressure control, an optimized growth environment is provided for corn breeding and germination.

The invention discloses camel milk protein-polysaccharide composite nanoparticles and a preparation method thereof, and belongs to the technical field of preparation of natural fermentation composite particles. The preparation method comprises the following steps: (1) inoculating phytobacterium plantarum into camel milk for fermentation, centrifuging, and collecting supernatant; and (2) carrying out ultrasonic treatment on the supernatant under an ice-water bath condition, adding absolute ethyl alcohol to precipitate after the ultrasonic treatment is finished, standing, centrifuging, and dialyzing to remove impurities, so as to finally obtain the camel milk protein-polysaccharide composite nanoparticles. According to the preparation method, camel milk is taken as a fermentation substrate, fermentation is carried out by utilizing phytobacterium plantarum LR-1, and the natural polysaccharide-protein nanoparticles (PPNPs) are successfully prepared in combination with ultrasonic treatment. In the fermentation process, the metabolic activity of lactic acid bacteria promotes the combination of protein and polysaccharide, and the particle size, the stability and the oxidation resistance are improved; the ultrasonic treatment further optimizes the particle size and structure, and enhances the oil-water interface adsorption capacity.

The invention relates to a method and a system for constructing a traditional Chinese medicine lung cancer prevention and treatment system based on multi-source data fusion, belongs to the technical field of big data, integrates multi-source information such as global evidence-based literature, real world clinical data and expert decision support, constructs an AI-driven three-layer cognitive model, develops a clinical transformation platform, and provides a traditional Chinese medicine lung cancer prevention and treatment system. The method comprises the following steps: screening dominant treatment stages through an intelligent algorithm, optimizing a diagnosis and treatment scheme, establishing a quantitative correlation model of pathogenesis key elements and tumor metabolic activities, further constructing a syndrome-metabolism knowledge graph, forming a syndrome differentiation validity verification mechanism and a prescription linkage database, and finally designing a result transformation engine. New drug research and development and nosocomial preparation conversion are driven through an evidence chain, and evaluation standards are formulated in cooperation with traditional Chinese medicine syndrome improvement and western medicine solid tumor curative effect indexes. According to the method, the bottleneck problems of data splitting, dialectical staticizing and conversion in traditional research are solved, and full-chain innovation from cognitive modeling to clinical landing is achieved.

The invention discloses a bone defect repair material suitability prediction method based on deep learning, and the method comprises the steps: carrying out the overlapping and uniform partitioning of a bone defect region and a host bone region in three-dimensional CT image data, carrying out the position coding and feature extraction of a plurality of sub-blocks through a three-dimensional visual Transform model of multi-scale position coding, and obtaining the anatomical and functional features; calculating a bone metabolism activity score and a systemic inflammation score based on blood detection data, and then constructing pathophysiological features; performing multi-round interaction on the anatomical and functional features, the pathophysiological features, the parameter data and the multidirectional multi-head cross attention layer, in each round, selecting one modal feature as a query vector, and selecting any modal feature in the rest modal features as a key vector and a value vector; and fusing the interaction features of each round, and determining the suitability score and the risk level of the bone repair material by combining the attention weight and the bone metabolism activity score in the multidirectional multi-head cross attention layer.

The near-infrared wearable subcutaneous fat metabolism monitoring device comprises a flexible substrate, a multi-wavelength NIR light source array, a photoelectric detector, a motion artifact suppression module, a wireless transmission unit, a fixing band and a photonic crystal enhanced detector, and the flexible substrate comprises a biocompatible layer, an optical window array and a pressure sensing layer. The wavelength of the multi-wavelength NIR light source array is 760nm / 850nm / 930nm / 980nm, the photoelectric detector is high-sensitivity InGaAs, the motion artifact suppression module is provided with an embedded signal processing module, the embedded signal processing module contains a motion artifact elimination algorithm, the wireless transmission unit is BLE5.0, the fixing band is connected with the flexible substrate, and the flexible substrate is connected with the fixed band. A first subcutaneous fat oxidation characteristic database based on time-frequency analysis is established by installing a fat oxidation dynamic fingerprint spectrum technology, FODS = summa 850980d [mu] a (lambda, t) dt.e-j2pif0tdt (f0 = 0.05 Hz) FODS = summa 850980dtd [mu] a (lambda, t). E-j2pif0tdt (f0 = 0.05 Hz), metabolic oscillation characteristics are extracted through wavelet-Hilbert transform, and a metabolic activity quantitative evaluation core algorithm WO2023 / 123456 is realized.

The invention discloses a composite biological carbon source and a preparation method thereof. The composite biological carbon source is prepared from the following raw materials: carbon source liquid, alcohol organic matters, trace elements, small molecular organic acid, saccharides, glycerol, vitamins, a surfactant and a buffering agent, the nutrient solution comprises the following components in parts by weight: 10-30 parts of carbon source liquid, 5-10 parts of alcohol organic matters, 0.5-1 part of trace elements, 1-5 parts of small molecular organic acids, 10-20 parts of saccharides, 5-10 parts of glycerol, 0.5-1 part of vitamins, 0.5-1 part of a surfactant and 0.5-1 part of a buffering agent. The composite biological carbon source is prepared from the carbon source liquid, the alcohol organic matter, the trace elements, the small molecular organic acid, the saccharides, the glycerol, the vitamins, the surfactant and the buffer agent, the components in the composite biological carbon source can be better utilized by microorganisms, the utilization efficiency of the carbon source is improved, and the composite biological carbon source contains various nutritional ingredients, so that the composite biological carbon source has a good application prospect. Various nutritional requirements required by growth of microorganisms can be met, rapid propagation and metabolic activity of the microorganisms are promoted, and the requirements of sewage treatment can be more effectively met.

The invention discloses a medical image recognition method and system based on artificial intelligence, and the method comprises the steps: obtaining CT image data, pathological section data and PET metabolic activity data, introducing a GNN graph neural network to model the semantic association between multi-modal features, and outputting a fusion feature vector; inputting the fusion feature vector into a DSRN double-flow space-time recursive network, extracting 3D lesion morphological features of a single image by using a spatial flow, analyzing lesion growth kinetic parameters of a historical image sequence through a time flow, and generating a lesion malignancy probability index based on a gating fusion unit; based on the focus malignancy probability index, Monte Carlo Dropout sampling is utilized to generate a confidence interval, a clinically interpretable credibility score is output, and when the confidence is smaller than a threshold value, a low-confidence area is displayed for a doctor to check. The deep fusion of multi-source information is realized, the one-sidedness of a single mode is avoided, and the recognition accuracy and efficiency are improved.

The invention belongs to the technical field of functional microorganism screening and application, and particularly relates to a thermophilic halogenobacter nounudi and application thereof. The halogenobacillusrupiensis is halogenobacillusrupiensis S2-5, the halogenobacillusrupiensis S2-5 is preserved in the China Center for Type Culture Collection (CCTCC), and the preservation number of the halogenobacillusrupiensis S2-5 is CCTCC NO (China Center for Type Culture Collection): M 20241447. The strain S2-5 provided by the invention is screened out under high-temperature composting, and has the advantages of good thermal stability, no inhibition of metabolic activity by the temperature of high-temperature composting, and strong adaptability. The compost inoculant obtained by solid state fermentation of the anaerobic bacillus tubingensis S2-5 strain provided by the invention has the characteristics of being easy to preserve and transport, high in strain activity and the like. And the fertilizer prepared from the composting inoculant can shorten the composting period when the composting inoculant is applied to high-temperature composting treatment of organic solid wastes.

The invention relates to the technical field of compound microbial additives, and particularly discloses a compound microbial additive suitable for alpine regions and a preparation method, the additive comprises microbial thalli, a protective agent and a carrier; the microorganisms are low-temperature-resistant nitrogen-fixing bacteria, cold-resistant phosphate-solubilizing bacteria, cold-resistant potassium-solubilizing bacteria, low-temperature-resistant plant growth-promoting rhizobacteria and cold-resistant streptomyces; the selected microbial strains are all derived from extreme environments of the alpine regions, are naturally selected and artificially domesticated for a long time, and have extremely strong adaptability to severe conditions such as low temperature and oxygen deficit of the alpine regions. Compared with the existing microbial additive in the market, the growth rate and metabolic activity of the microbial strain in the additive are kept at a relatively high level in a low-temperature environment of 0-15 DEG C.