80 results about "Dose effect" patented technology

The invention relates to a full-automatic test system and method compatible with multi-type component irradiation tests, and the system comprises an irradiation main control board, an irradiation test board and an irradiation load board which are disposed in an irradiation room and are connected through a cable, and an electronic load, a programmable power supply, an upper computer and a digital oscilloscope which are disposed in a test preparation room. The system can compatibly support the irradiation test of the total dose effect and the single event effect, is suitable for the rapid assessment demand of multiple types of COTS components on a large scale, and can meet the urgent demand of the commercial spaceflight field for the evaluation of the radiation resistance of the COTS components.

The invention discloses a TSV-based multi-layer microsystem interconnection module total dose effect simulation modeling method, and relates to the technical field of three-dimensional integrated microsystems, and the method comprises the steps: obtaining geometric parameters and material parameters of a multi-layer three-dimensional microsystem interconnection module, building a finite element model of a microsystem module based on the geometric parameters and the material parameters, and carrying out the simulation modeling of the TSV-based multi-layer microsystem interconnection module total dose effect. Setting boundary conditions and port excitation; scattering parameters under different material conditions in the finite element model are extracted, frequency points are fixed, and a relational expression of the scattering parameters and material parameters is established; an RLC equivalent circuit model is constructed, and an equivalent circuit extraction method is obtained; according to an equivalent circuit extraction method, in combination with a relational expression of scattering parameters and material parameters, establishing a relationship between return loss parameters and equivalent circuit parameters; and establishing a relation model between the radiation dose and the resistance, inductance and capacitance in the equivalent circuit according to the relation between the return loss parameter and the equivalent circuit parameter. According to the invention, a scientific basis is provided for the reliability design of the three-dimensional microsystem in the radiation environment.

The invention discloses a patient historical state-based anesthetic dose simulation evaluation system, which is characterized by comprising a multi-source data integration and preoperative physiological feature quantification layer, a dose effect relationship simulation layer and a risk evaluation and recommendation output layer. The method has the following advantages and effects that the personalized pharmacokinetics-pharmacodynamics model is constructed by integrating multi-source historical data of a patient, vital sign change tracks under different anesthetic doses are simulated, the recommended dose interval is generated based on multi-objective optimization, the change from experience dependence to accurate quantification is realized, and the accuracy of the recommended dose interval is improved. The problem of inaccurate anesthetic dosage prediction caused by individual differences is effectively solved, and the safety and effectiveness of an anesthesia scheme are remarkably improved.

The invention provides a live pig immune function prediction system and method based on artificial intelligence. The system comprises a detection device used for detecting intestinal flora detection data corresponding to a plurality of omics and detection result data of a plurality of metabolic markers of a live pig in a stress state; the edge optimization decision device is used for performing feature extraction according to the detection result data to obtain metabolic feature data; the prediction and display device is used for simulating an expression relationship between the activity of a key metabolic enzyme and immune effector molecules of the live pig in a stress state according to the intestinal flora detection data to obtain metabolic-immune interaction data, storing the metabolic-immune interaction data in a metabolic-immune database, and displaying the metabolic-immune interaction data in the metabolic-immune database. According to the metabolism characteristic data and metabolism and immunity interaction data stored in a metabolism and immunity database, determining a dose effect relationship between the functional amino acid and the immunity phenotype to obtain metabolism spectrum characteristics of the live pig in a stress state, and according to the metabolism spectrum characteristics, predicting, generating and displaying an amino acid ratio or daily ration intervention strategy.

The invention provides application of an immune response biomarker in prognosis evaluation of mesenchymal stromal cells in treatment of liver cirrhosis patients, and relates to the technical field of biomedicine, the immune response biomarker comprises MX1 positive monocytes or / and LGALS2 positive monocytes, and the MX1 positive monocytes are MX1 positive monocytes or / and LGALS2 positive monocytes. Screening to obtain a potential biomarker LGALS2 positive mononuclear cell and an MX1 positive mononuclear cell for predicting the MSC treatment dose-effect relationship; compared with a healthy control, the proportion of baseline MX1 positive monocytes of a liver cirrhosis patient is remarkably increased (Plt; 0.01), while the proportion of LGALS2 positive monocytes is significantly reduced (Plt; 0.05) of the substrate (1); the change trend of the biomarker under the same MSC dose and the regulation effect on other immune cell subgroups are identified through sequencing analysis, the dose-effect relationship of MSC-mediated immune regulation can be accurately reflected, and patients with low MSC treatment prognosis recurrence risk can be identified.

The present application relates to the technical field of machine learning, and particularly relates to a preclinical drug experiment quality evaluation method based on machine learning, comprising: obtaining a plurality of experiment samples, each experiment sample comprising a dose level and an observation value of at least one biological index; determining a trend residual of each biological index of each experiment sample; determining a biological index evaluation weight sequence composed of quality evaluation weights of all biological indexes; determining a composite distance between any two experiment samples; determining a quality evaluation index of each experiment sample; and evaluating the quality of preclinical drug experiments based on the quality evaluation index of each experiment sample. By constructing a dose effect trend function, combining the trend residual and the weight, establishing a composite distance model fusing pharmacological trends, realizing adaptive selection of neighborhood parameters, improving the accuracy and stability of anomaly detection, overcoming the limitations of traditional machine learning LOF algorithm, and enhancing the evaluation reliability.

The present invention discloses a high-performance simulation method for simulating the total dose effect of a MOSFET device, and provides the electrical information inside and outside the MOSFET device under the total dose effect. The method first divides the geometric model of the MOSFET device by a free hexahedral mesh; then, the control volume finite element method (CVFEM) is used to discretize the drift-diffusion equations, wherein the flux term of the drift-diffusion equations is interpolated by the hexahedral vector basis function, the finite difference method and the Scharfetter-Gummel (SG) method; finally, the Newton iteration method is used to solve the discrete drift-diffusion equations to obtain the potential and carrier concentration field information inside the MOSFET device, and the current-voltage curve of the MOSFET device is obtained by post-processing. The simulation method of the present invention has the advantages of high confidence, high numerical accuracy, high numerical stability and scalability. It can be used for efficient and high-precision numerical simulation of multi-physical effects such as the total dose of MOSFET devices, thereby improving the performance, robustness and reliability of integrated circuits.

The invention discloses a method for evaluating damage of ionizing radiation to male sperm quality, which belongs to the technical field of reproductive biology, and comprises the following steps: establishing a dose-effect database model between ionizing radiation dose and male sperm quality based on a logistic regression model, determining a mapping relation between sperm quality rating and fertility recovery average time; collecting a to-be-detected semen sample exposed by ionizing radiation, comparing the to-be-detected semen sample with the dose-effect database model, evaluating the male sperm quality rating, and predicting the fertility recovery time based on the male sperm quality rating and the mapping relation.

The present application relates to the technical field of emergency material scheduling, and particularly relates to a multi-level inventory collaborative allocation method for medical materials under a sudden health event. The multi-level inventory collaborative allocation method for medical materials under a sudden health event comprises the following steps: S1: real-time acquisition of organophosphorus exposure data of a sudden health event area, construction of exposure concentration spatiotemporal distribution and spatiotemporal disability surface according to the organophosphorus exposure data; S2: acquisition of total drug demand of the sudden health event area and self-protection demand threshold of each inventory node according to the exposure concentration spatiotemporal distribution and the spatiotemporal disability surface, and acquisition of initial allocation data based on the self-protection demand threshold of each inventory node. The present application embeds the toxicology time-dose effect into the multi-level inventory collaborative decision, so that the allocation scheme can match the minute-level rescue window after organophosphorus poisoning, and the risk of irreversible injury and death caused by drug delay is significantly reduced.

The present application relates to a kind of culture medium preparation method for studying the influence of algal liquid secretion on arabidopsis growth, belong to the field of biotechnology.The method includes the preparation of solid medium, extraction of algal liquid secretion, preheating, four major steps of medium mixing.The liquid blue algae extracellular secretion is mixed into solid medium in specific method, the interference of microcystis aeruginosa liquid medium on experimental results is excluded by designing negative control, the "dose-effect" study of secretion to plant is carried out by adjusting the ratio of extracellular secretion and medium, the chemical stability of active component in extracellular secretion is inferred by designing stability experiment.The culture method designed in the application can be widely applied in other similar researches exploring the influence of microbial secretion on arabidopsis growth.

The present invention belongs to the technical field of ecological environment protection. The present invention provides a method for determining the toxicity threshold of pioneer plants in ionic rare earth ores to pollutants. The method of the present invention mainly includes measuring the toxicity effect of ionic rare earth ore pollutants on pioneer plants, screening indicators significantly related to the pollutants, selecting the optimal dose-effect model for each indicator for fitting, calculating the toxicity threshold of each evaluation endpoint indicator according to the fitting function, calculating the weight of each evaluation endpoint indicator by using the principal component analysis method, and calculating the comprehensive toxicity threshold of the plant to the pollutants according to the toxicity threshold and weight of the evaluation endpoint indicator. The present invention provides a reference value for judging the toxicity threshold of pioneer plants to pollutants in the ecological restoration of ionic rare earth ores and the screening of pioneer plants in the vegetation restoration of rare earth ore areas.

The invention provides a method for establishing an influence evolution model of seabed leakage CO2 on phaeodactylum tricornutum, and belongs to the technical field of marine pollution. The method comprises the following steps: firstly, obtaining acidification sensitivity parameters of phaeodactylum tricornutum through an experiment, constructing a two-phase flow near-region transport and diffusion model to simulate a CO2 leakage process, and then establishing a far-region transport and diffusion model based on an FVCOM; a near-region result is adopted as a source item to calculate pH change, an OceanAttn model is introduced to optimize a pH distribution prediction result, and the model adopts a hierarchical fusion gating mechanism to dynamically adjust weight distribution according to hydrological feature complexity, leakage scale and water layering strength. And establishing a dose effect function by combining the exposure quantity and acidification sensitivity parameters of the phaeodactylum tricornutum, and finally constructing a population dynamic evolution equation, thereby realizing the accurate prediction of the influence of the seabed leakage CO2 on the spatio-temporal dynamic change of the phaeodactylum tricornutum population.

The invention discloses a pharmacodynamic test method for a cough relieving mixture, which comprises the following steps: constructing four core pharmacodynamic test sub-models containing ammonia water to cause young mouse cough, citric acid to cause young guinea pig cough, rabbit in-vitro trachea cilia mucus movement and young mouse trachea phenol red excretion and a body model of a test result analysis sub-model; each pharmacodynamic test sub-model is provided with a plurality of groups of test arrays and test individuals; pathogen data is imported to generate a simulated disease scene, and a corresponding drug sequence is called to intervene and collect physiological index change data; and multi-dimensional pharmacodynamic parameters are evaluated through the analysis sub-model, and a dose-effect relation curve and an evaluation report are generated. According to the invention, a parallel verification system for antitussive and expectorant tests is formed, the antitussive effective dose, the expectorant effective dose and the effective dose range under the dual action of the medicine are determined through multi-model cross validation, the accuracy degree of judging the effectiveness of the medicine is greatly improved, and a reliable method support is provided for evaluating the efficacy of the cough-stopping mixture.

The invention provides a method for simulating the ionization total dose effect of a GaN HEMT device under a high-temperature gate bias condition, and the method specifically comprises the steps: constructing a two-dimensional model of the GaN HEMT device, and carrying out the grid division of the two-dimensional model; an electrical simulation model of the GaN HEMT device is constructed and calibrated; performing a simulation high-temperature gate bias reliability test; and simulating the ionization total dose effect of the GaN HEMT device under the high-temperature gate bias working condition to obtain a simulation result after the high-temperature gate bias and the ionization total dose effect are coupled, and judging the performance state of the GaN HEMT device through the simulation result.

The invention belongs to the technical field of disease prevention and control in aquaculture, and discloses application of arecoline derivatives in killing Bowden worms. A coarse screening experiment, a soaking toxicity test and a dose effect experiment prove that in coarse screening, 0.5 mg / L of the arecoline derivative is soaked for 90 min, so that the killing rate of the arecoline derivative on the bodworm reaches 75%, and the arecoline derivative is obviously superior to the other five kinds of arecoline and derivatives thereof such as triclabendazole and arecoline; a soaking toxicity test shows that after the arecoline derivative with the concentration of 0.7 mg / L is soaked for 90 min, the survival rate of the trachinotus ovatus is 100%, and no remarkable toxicity exists; a dose effect experiment further proves that the killing rate of 0.7 mg / L of the arecoline derivative on the boxworm is increased to 95.35%. The arecoline derivative has a remarkable effect of killing the boxworm, is high in safety to host fishes, has no obvious residual risk, can be further researched and developed to be special for preventing and controlling the boxworm in aquaculture, provides an effective scheme for solving culture diseases caused by the boxworm, and has a wide application prospect.

The application belongs to the technical field of three-dimensional integrated circuits, and discloses a through-silicon via link total dose effect evaluation method, equipment and medium based on an equivalent circuit model, wherein the method comprises the following steps: establishing a total dose equivalent circuit topology structure according to a through-silicon via structure; determining a parasitic electric parameter calculation equation in the total dose effect equivalent circuit; calculating the value of the electric parameter under normal conditions, and comparing the S parameter obtained through simulation calculation with the actually measured S parameter to verify the total dose effect equivalent circuit model; optimizing the design, extracting the electric parameter in the equivalent circuit under different radiation dose conditions; extracting the electric parameter change curve with the radiation dose; fitting the equation of the material attribute change with the radiation dose; and predicting the S parameter of the through-silicon via link at any radiation dose point. The equipment and medium are used for realizing the through-silicon via link total dose effect evaluation method based on the equivalent circuit model. The evaluation factors are comprehensive, the actual irradiation conditions can be better matched, and the performance of the through-silicon via link under the actual radiation conditions can be more accurately simulated.

A method for testing the total dose effect of a SiC MOSFET device, realizing verification of the complex total dose effect of the SiC MOSFET. The test steps sequentially comprise: testing a tested device before irradiation; performing annealing treatment on the tested device before irradiation; performing an irradiation test on the tested device; performing annealing treatment on the tested device after irradiation; performing test data analysis and processing on the tested device after irradiation. In the test process, threshold voltage shift caused by total dose radiation-induced defects and threshold voltage shift caused by near interface trap charges inherent near a SiC MOSFET interface are measured respectively, comprehensive analysis and calculation are carried out on the test result, the total dose effect resistance capability of the SiC MOSFET device can be given, and a certain guiding effect on device reinforcement is achieved.

The present invention provides an artificial intelligence-based system and method for predicting the immune function of pigs, comprising a detection device for detecting intestinal flora detection data corresponding to multiple omics and detection result data of multiple metabolic markers of pigs under stress; an edge optimization decision device for performing feature extraction based on the detection result data to obtain metabolic characteristic data; a prediction and display device for simulating the relationship between the activity of key metabolic enzymes and the expression of immune effector molecules of pigs under stress based on the intestinal flora detection data to obtain metabolic immune interaction data, storing the metabolic immune interaction data in a metabolic immune database, determining the dose-effect relationship between functional amino acids and immune phenotypes based on the metabolic characteristic data and the metabolic immune interaction data stored in the metabolic immune database, obtaining the metabolic spectrum characteristics of pigs under stress, and predicting, generating and displaying amino acid ratios or dietary intervention strategies based on the metabolic spectrum characteristics.

The invention belongs to the technical field of computer systems based on specific calculation models, and particularly relates to a protamine dose-effect relationship modeling method, a protamine dose-effect relationship prediction system and a storage medium. The modeling method comprises the following steps: inputting clinical data from a single patient, wherein the clinical data comprises the administration dosage of protamine and a corresponding ACT measurement value; fitting different models suitable for a protamine dose-effect relationship based on the clinical data, and selecting an optimal model through cross validation; and re-training the optimal model by adopting all clinical data of a single patient to obtain the optimal model actually used for deployment. The invention also provides a system for predicting the protamine dose-effect relationship by using the model. Compared with a single model for predicting the protamine dosage-effect relationship, the method has higher accuracy, is beneficial to accurately controlling the protamine dosage of a patient, and has a very good application prospect in anticoagulation management in the perioperative period.

The invention provides application of a porphyrin compound in preparation of a medicine for treating social dysfunction, and belongs to the technical field of biological medicine. It is found that the porphyrin compound TMPyP4 shows a dose effect to inhibit expression of Xlr3b, after TMPyP4 is injected into the abdominal cavity of a Dip2a gene knockout (Dip2a- / -) mouse, the phenotype of the social dysfunction of the Dip2a- / -mouse can be effectively improved, the defect of the social ability and the defect of social novelty of the Dip2a- / -mouse are improved, the abnormal social behavior of the Dip2a- / -mouse is restored to the normal level, and therefore the TMPyP4 can be used for inhibiting the expression of Xlr3b. The traditional Chinese medicine composition has an obvious effect on improving the social dysfunction and can be used for preparing the medicine for treating the social dysfunction.

The invention relates to a board-level ionization total dose effect irradiation test method, and belongs to the technical field of space environment engineering. The method comprises the steps of plate-level electrical parameter testing before irradiation, ionization total dose effect irradiation under a device-level bias condition, room-temperature annealing, high-temperature annealing and plate-level electrical parameter testing after ionization total dose effect irradiation. According to the invention, the technical effect of carrying out the ionization total dose effect irradiation test with high efficiency, accuracy and low cost can be realized.

The present invention discloses a total dose radiation induced leakage current modeling method for MOS transistors. First, radiation data is generated, and then the current change ΔI caused by different total doses is calculated. D Calculate and adjust ΔI according to different working areas D Modeling, establishing a SPICE model containing MOS tubes and current sources, current simulation based on a simplified model, and error analysis. The advantage of the present invention is that a simplified model is established to achieve accurate simulation of the total dose effect off-state leakage current, further improving efficiency and reducing costs.

The invention discloses a double-antibody sandwich ELISA method for detecting the concentration of an HSC70 / STUB1 compound in serum, and belongs to the technical field of biomedical detection. The method specifically comprises the following steps: (1) coating; (2) washing; (3) sealing; (4) adding a sample; (5) adding a detection antibody; (6) developing; (7) terminating and detecting; and (8) quantitative analysis. The method disclosed by the invention can be used for carrying out high-sensitivity, high-specificity, accurate quantitative and high-throughput detection on the HSC70 / STUB1 compound in serum, and meanwhile, a reliable and convenient detection means is provided for researching a dose-effect relationship between the BP-3 environmental exposure level and the formation of the STUB1-HSC70 compound in vivo; an effective tool is provided for early diagnosis, risk prediction and mechanism research of related diseases, and the blank of the field in clinical transformation application is filled.

A composition for transporting a therapeutic effector agent across the blood brain barrier and for treating, alleviating or reducing the risk of developing symptoms of cognitive decline and other symptoms of neurodegeneration includes a therapeutic effector agent conjugated to a carrier peptide comprising SEQ ID NO:1. The composition can be administered in low doses to great therapeutic effect. Methods of administering the composition include systemic and intranasal delivery routes.

The present invention discloses a gate tunneling current simulation method under the action of total dose, comprising the following steps: step 10, performing three-dimensional device structure modeling on a SOI NMOS device; step 20, modifying a gate dielectric material parameter file of the SOI NMOS three-dimensional device structure model to activate a Radiation model and set an irradiation bias state of the model; step 30, setting an irradiation dose rate and a plurality of different irradiation times, performing irradiation total dose simulation on the SOI NMOS three-dimensional device structure model, and extracting a threshold voltage V corresponding to different irradiation doses. th ; Step 40, the threshold voltage V th The gate tunneling current characteristics under the total dose effect are obtained by inputting the empirical formula of the gate tunneling current for simulation. The present invention obtains the device threshold voltage by changing with time under different bias states and different irradiation doses, and then substitutes the changed threshold voltage into the empirical formula of the gate tunneling current for simulation, so as to accurately obtain the gate tunneling current under different total irradiation doses.

The invention discloses a method for evaluating the toxicity of dust affecting bacterial colony growth, which comprises the following steps: S1, preparing dust, crushing and grinding the dust, screening out dust with different particle sizes, and culturing escherichia coli in an LB culture medium; s2, preparing a liquid culture system; step S2.1, performing a dust exposure experiment; step S2.2, a dust leachate experiment is carried out; s3, preparing a solid culture system; s3.1, performing a dust exposure experiment; s3.2, a dust leaching solution experiment is carried out; s4, analyzing the physicochemical characteristics of the dust, and establishing a dose-effect relation model among the physicochemical components, the morphological characteristics, the particle size, the concentration and the bacterial colony growth toxicity effect of the dust by adopting a regression analysis method according to the data; the method has the advantages of rapidness, high efficiency, accurate data, low cost, wide application prospect and the like.

The invention discloses biomedical application of sodium caproate. The invention proposes and verifies that sodium caproate triggers zebra fish epilepsy in a low concentration range of 10-100 [mu] M and inhibits epilepsy in a high concentration range of 10-100 mM for the first time, that is, sodium caproate has a two-way dose effect in a zebra fish nervous system, so that the sodium caproate can be used for constructing a zebra fish epilepsy model and researching an anti-epilepsy mechanism based on the two-way dose effect.

The invention provides an application of loranoside C in preparation of a medicine for treating prostatic cancer. Experiments prove that the erioside C can obviously inhibit the growth and survival of prostate cancer cells, has certain selectivity on the effects of the prostate cancer cells and normal prostate cells, can obviously inhibit the growth of prostate tumors, and shows a dose-effect relationship.

The invention discloses an FPGA system reliability guarantee method for a nuclear power station based on a radiation effect, and belongs to the technical field of reliability design of a nuclear power station control system. According to the invention, radiation particle environment data are respectively obtained for different working condition stages in a non-accident state of the nuclear power station, and a foundation is laid for the accuracy of subsequent evaluation; secondly, based on the radiation environment data of each working condition, determining the most harsh working condition of the single event effect and the total dose effect so as to narrow the range of subsequent simulation and reduce the data processing overhead; next, the radiation effect under the most severe working condition is simulated through Monte Carlo simulation, the most sensitive device circuit corresponding to the two kinds of effects is directly positioned, and a clear target is provided for reinforcement measures; and finally, based on the reliability judgment result of the most sensitive device, a stage processing strategy is adopted for the most sensitive device circuit, so that the cost waste caused by excessive reinforcement is avoided, and the reliability guarantee of the high-efficiency cost ratio of the FPGA system is finally realized.

The invention discloses a method for evaluating a hypothalamic-pituitary reproduction endocrine axis interference effect of a compound, and belongs to the technical field of chemical environmental health risk evaluation. A hypothalamic neuron cell line and a pituitary gonadotrophy cell line are selected as in-vitro evaluation models; the method comprises the following steps: obtaining an exposure concentration gradient of a compound influencing cell activity through cell culture and a cytotoxicity experiment, carrying out a cell exposure experiment on a hypothalamic neuron cell line and a pituitary gonadotrophy cell line at the exposure concentration gradient, and determining the expression quantity of a target gene in the cell after the exposure is finished, according to the exposure concentration gradient and the expression quantity of the target gene, obtaining a dose-effect curve of the compound interfering the expression of the target gene, and evaluating the interference effect of the compound on the hypothalamic-pituitary reproduction endocrine axis by using a toxicology priority index ToxPi, according to the method, high-throughput evaluation on the endocrine disruption effect of the hypothalamus-pituitary axis of the compound is realized.