38 results about "Model study" patented technology

Method for planning dental treatment which includes collecting data and images of the initial situation, creating an initial 3D model, studying the initial situation, analyzing the smile and planning in a center, all by means of software, creating and producing an envisaged final 3D model, creating a negative of the envisaged final model, creating in-situ a provisional prosthesis (mock-up) on the teeth of the patient which represents the final result which would be left after the treatment, reviewing the result and collecting photographs and video of the envisaged result and producing the required prosthesis, implant or brace elements from the digital data.

The invention provides a device for testing the performance of an injector. The device comprises a water inlet collector (1), multiple water inlet pipelines (2), an upper cover (3), a water inlet cavity (4), a lower cover (5) and a liquid collector (6). Inlets of the multiple water inlet pipelines are connected with an outlet of the water inlet collector. Outlets of the multiple water inlet pipelines lead to the water inlet cavity. The water inlet cavity (4) is formed around an inlet of a main fuel way at the lower end of the injector, and the upper cover is matched with the water inlet cavity to lead water into the inlet of the main fuel way. The liquid collector (6) is located in an outlet cavity of the injector and used for collecting flow of the main fuel way. The lower cover is located below the water inlet cavity and is matched with the water inlet cavity to achieve collection and measurement of the flow of a cooling way. By means of the device for testing the performance of the injector, due to the structural design of the device, it is ensured that water flows into a runner and flows out of the runner according to requirements, the flow of the runner is ensured, it is ensured that a test can be conducted smoothly, product test data are obtained, a basis is provided for model study, and therefore the medium atomization effect and the combustion stability of an engine are improved.

The invention relates to a rock burst early warning method in a complex geological occurrence environment. The rock burst early warning method in the complex geological occurrence environment comprises the following steps that S1, a three-dimensional visualization numerical model of a complex tectonic belt is built; S2, the stress triggering conditions of geological tectonic stress field sudden changes and rock burst are analyzed according to the three-dimensional visualization numerical model; S3, the power surge mechanism of occurrence of rock burst is researched and judged according to the three-dimensional visualization numerical model; and S4, according to the analysis results in the steps S2 and S3, a rock burst foreboding information analysis method comprehensively judged based on a sensitive parameter is formed, and early warning of rock burst is carried out. The rock burst early warning method in the complex geological occurrence environment can provide a theoretical basis for remote on-line monitoring, intelligent judgment and real-time early warning of rock burst.

The invention relates to a storage capacity predication method which comprises the following steps that S1, a formulary to be selected is acquired; S2, an original data sample is acquired; S3, a data sample is acquired; S4, the data sample is divided; S5, a training set is divided; S6, a predictor formula is selected; S7, parameter solving is carried out on the predictor formula; S8, predication is carried out through the predictor formula. The invention further discloses a storage capacity predication system which comprises a system management module, a storage resource real-time monitoring module, a storage data processing module, a predication model study module and a future trend predication module. According to the technical scheme, the storage capacity of IT resources can be accurately predicated, and therefore the resource utilization rate is improved, the failure rate is reduced, and operation and maintenance quality is improved.

The invention relates to hydrogel as well as a preparation method and application thereof. The hydrogel is patterned temperature-sensitive hydrogel which comprises the following raw material components in parts by mass: 10-50 parts of an N-isopropylacrylamide monomer, 0.01-0.2 part of graphene oxide and 5-30 parts of a cross-linking agent. The hydrogel is applied to cell culture and collection ofcell layers and can be further used for establishing three-dimensional tumor models. The hydrogel provided by the invention is reasonable in raw material component matching and excellent in temperature sensitivity; due to reasonably matched concentrations of graphene oxide, the hydrogel has hydrophobicity at a cell culture temperature, and adhesion and propagation of cells on the surface of the hydrogel can be promoted; under a room temperature condition, the hydrogel has hydrophilcity instead of hydrophobicity, peeled cell layers can be collected with a short time, the obtained cell layers can be further cultured into cell spheres of three-dimensional structures, and the cell spheres can be applied to tumor model study and used as cell models for screening anti-tumor medicines.

The invention discloses a direct electricity purchase bilateral trade contract electricity price formulating method based on a leader-follower game. The method adopts a leader-follower game model to study an optimal contract offer decision of a generation company in direct electricity purchase bilateral trade: first, optical planning models of generation companies and big consumers are built respectively, and then a complete leader-follower game model containing two interested parties of a plurality of generation companies and a plurality of big consumers is built. The method provided by the invention provides a basis for contract electricity price formulation for the generation companiesin a bilateral trade process, and also provides a basis for electricity purchase decision for the big consumers under a determined generation company bilateral contract offer, thereby realizing maximum contract electricity-selling profits of the generation companies and minimum electricity purchasing cost of the big consumers under a determined contract electricity price in bilateral trade with participation of the plurality of generation companies and the plurality of big consumers.

The invention discloses a depression patient suicide risk objective assessment model based on functional nuclear magnetic resonance. The model works in the following steps of (1) building an evaluation model including (a) calculating full-brain function connection matrix, (b) constructing a feature set and (c) clustering, (2) verifying result stability, (3) conducting polynomial curve fitting, and (4) evaluating individuals via the model. The depression patient suicide risk objective assessment model based on functional nuclear magnetic resonance is advantageous in that (1) the model is driven by pure data; patient suicide tendency is screened totally according to a model research of a depression patient brain zone signal; without artificial judgment participation, errors due to subjective factors can be avoided; (2) individuals hard to be evaluated can be objectively evaluated according to extreme conditions easy to be judged by experts and without prior knowledge; and (3) by the use of the depression patient suicide risk objective assessment model based on functional nuclear magnetic resonance, suicide tendency of the depression patient can be determined and suicide tendency degree of the patient can be achieved according to model research results.

The invention discloses a method for manufacturing a three-dimensional small-diameter vessel model. The method comprises the following steps of a, preparation of a supporting bracket: utilizing a silica gel material to perform 3D printing of a supporting bracket with an inner and outer concentric circle shape structure; b, formation of a medial membrane: pouring an accellular extracellular matrixcontaining a human aortic smooth muscle cell into a middle layer of the supporting bracket to form the medial membrane; c, formation of an intima: pouring a human umbilical vein endothelial cell suspension into an inner layer of the supporting bracket to form the intima; and d, formation of an adventitia: wholly putting the supporting bracket in a dynamic culture system fully filled with human newbaby dermal fibroblast suspension to form the adventitia. The vessel model acquired with the method is good in biocompatibility, has relatively strong mechanical property and can be used for pathological model study and drug screening relevant to vessels.

The invention discloses an establishing method and application of a mouse aortic dissecting aneurysm model. The establishing method of the mouse aortic dissecting aneurysm model is simple and convenient, the mouse aortic dissecting aneurysm model can be established within a short time, surgical operation is not needed, trauma to experimental mice can be reduced, and high operability is achieved. The occurrence rate of aortic dissecting aneurysm of a modeling group is 90%, the breaking rate of the aortic dissecting aneurysm of the modeling group is 20%, the occurrence rate of the aortic dissecting aneurysm in chests and aortic dissection above chests is 90%, the occurrence rate of the aortic dissecting aneurysm in abdomen is 20%, and the induction success rate is high. The dissection occurrence position of the aortic dissecting aneurysm is similar to that of human beings, so that the mouse aortic dissecting aneurysm model can be used for easily studying the pathomechanism of the aortic dissecting aneurysm of human beings and can be applied to suspicious virulence gene screening and treatment research.

The invention relates to a method for tracking the human body posture based on visual information. According to the technical scheme, the method comprises the steps that in the training stage, according to real three-dimensional human body posture time series data in training data and with the adoption of the Gauss latent variable model algorithm, the human body posture is studied, so that a human body posture motion prior model is obtained; in the tracking test stage, video data to be tested and a first frame of the three-dimensional human body posture in the video data are input, a latent variable motion model is established with the use of the human body posture motion prior model studied in the training stage, and the particle updating step in an immune particle filtering algorithm is achieved through the latent variable motion model. The method for tracking the human body posture based on the visual information has the advantages of being high in practicality, accuracy and efficiency.

The invention discloses a vertical water temperature mixing inversion effect observation method and apparatus in front of a reservoir dam. The method comprises: observation vertical line arrangement, vertical line observation point arrangement, and observation work period arrangement of vertical water temperature mixing inversion dynamic changing in front of a reservoir dam in a water temperature layering mode are put forward according to actual vertical water temperature structure mixing inversion dynamic changes of the water domain in front of reservoir dam in a water temperature layering mode in different seasons. Besides, the observation apparatus includes a floating ball, a probe chain, and a plurality of on-line water temperature and water level observation probes arranged on the probe chain. The probe chain is connected to the bottom of the floating ball; and a balance weight is arranged at the bottom of the probe chain. With the observation method and apparatus, the observation working technique level and result quality of the water temperature change and distribution rule system of water bodies like a river or a dam are improved; defects in prior art are overcome; and the mathematic model study, empirical formula improvement and computation software development and research work level for the water temperature changing rule of a river or a dam are further enhanced.

The application of the method relates to the field of exploitation of the open pit mine and side slope engineering management and the like. With the integration of the research result on single model prediction, the research result on combined model prediction, and the research result on overall deformation prediction of a side slope monitoring line, a deformation predication method for the side slope three-dimensional entity is provided; the deformation predication method skillfully combines a static modeling method with a dynamic method, thus solving the difficulty in the overall prediction of the slope three-dimensional entity; with the deformation prediction method for the slope three-dimensional entity, the deformation condition of the side slope in long time can be predicted; simultaneously, a gray system model and a time sequence ARMA (Autoregressive moving average model) are adopted in predication, a precise predication result is obtained; and the comprehensive research on the long-time deformation predication of the side slope three-dimensional entity refers to the comprehensive application of four methods such as the deformation predication, the long-time predication, the single model predictionand the rolling combination predication of the side slope three-dimensional entity, the predicting outcomes has very high reliability.

The invention provides an in vitro tumor cell 3D collective invasion model and a construction method thereof. Tumor multicellular organ groups are prepared; cells contain light conversion fluorescentprotein which is coated into type I rat-tail collagen for carrying out 3D culture and the growth state, a proliferation mode and an invasion mode of tumor cells are simulated in vitro. The model studies the collective invasion effect of tumor multicellular spherical organs and can simulate the collective invasion mode of the tumor cells in vivo; after photobleaching is carried out by using a laserconfocal microscope, Leader Cells and Follower Cells in the collective invasion cells can be distinguished under the condition of lacking specific biological markers; in addition, the tumor cells ina target region can be obtained by fluorescence flow separation for carrying out follow-up experimental study.

The invention relates to a simulation model for evaluating the performance parameters of a vehicle power battery. The simulation model comprises a basic parameter input model, an algorithm model, an oscilloscope model and a failure warning model. The basic parameter input model is used for conducting input configuration according to the specific parameters of the vehicle power battery which is actually evaluated. The algorithm model is used for conducting real-time simulation calculation on the performance parameters of the battery. The oscilloscope model displays a two-dimension curve of dynamic change of each performance parameter in real time according to simulation data calculated by the algorithm model. The failure warning module conducts real-time warning when failure occurs on the performance parameters according to a set threshold value of each performance parameter. By the adoption of the simulation model for evaluating the performance parameters of the vehicle power battery, through model research of the lithium ion battery, a method for further improving the performance of the battery and optimizing the charge-discharge process can be provided, and the battery model can also be embedded into an electric vehicle model system to conduct simulation research on a finished vehicle.

The present invention discloses target point, preparation and method for treating human ADSL deficiency. The present invention established an ADSL deficiency retrieval model in nematode through RNA interference technique, and found that the sole RNA interference with PAICS gene could increase the expression of ADSL gene. Based on the conclusion of nematode model study, it can be foreseen that through interference with PAICS gene expression in ADSL deficient patient, accumulation of SAICAR in patient body fluid will be decreased and thereby reducing damage to cells, achieving the object of treating human ADSL deficiency or relieving symptoms.

The invention discloses a deep learning-based load modeling and online correction method, which includes: (1) clustering historical sample data and calculating a variable quantity; (2) constructing anoffline simulation sample and calculating a simulation output variable quantity; (3) calculating an association rule between input and output variable quantities and a load model parametric variationby using a deep learning network; and (4) acquiring online data and online correcting the model. Based on a conventional power system load model research, the method, by using the idea of offline learning and online application and based on the deep learning, solves the construction and online correction of a complex power system load model in the context of a smart grid. The method provides a feasible solution for the construction and online correction of the power system load model, further improves the accuracy and the calculation accuracy of power system simulation model under a complex condition, and provides new research ideas for subsequent power system load modeling research.

The invention provides a large-scale road network traffic flow real-time dynamic prediction system, comprising traffic flow detectors, a data fusion module, a traffic flow parameter prediction module, a traffic flow prediction model study module, a traffic geographic information platform and a traffic flow state classified evaluation module, wherein the traffic flow detectors are used for collecting the traffic flow parameters of a plurality of road conditions; the data fusion module is used for fusing the traffic flow parameters; the traffic flow parameter prediction module is used for predicting the road conditions of the next time period according to historical data and fusion data; the traffic flow prediction model study module is used for comparing real-time detected traffic flow parameters and predicted information and adjusting a prediction model according to the comparison result; the traffic geographic information platform is used for displaying the current state and the predicted state of the road traffic flow; and the traffic flow state classified evaluation module is used for evaluating the current and predicted road conditions according to the traffic flow parameters and controlling the roads according to the evaluation result and the predicted information. According to the system provided by the embodiment of the invention, the road condition information is predicted through the real-time collected traffic flow parameters and the time-space relation of the road traffic flow, and the corresponding road segments or areas can be controlled according to the predicted information.

The invention discloses a method for representing rice growing states based on an NDVI model. The method comprises the following steps that the highest temperatures and the lowest temperatures of rice bottoms, rice middles, rice canopies and a rice growing environment are acquired, and the highest relative humidities and the lowest relative humidities of the rice bottoms, the rice middles, the rice canopies and the rice growing environment are acquired; a rice blade NDVI is acquired; a rice canopy NDVI is acquired; the sunshine hours of rice blades and the number of rice growing days are acquired; the data is analyzed through a multivariate regression analysis method of SPSS software so that the NDVI fitting model for representing the rice growing states can be acquired. By means of the method, the growing states of the rice blade tillering stage, the rice blade jointing booting stage, the rice blade head sprouting postulation stage and the rice blade maturation stage can be accurately established, and a basis is established for model study for scientifically assessing the rice health condition.

The invention discloses a method for evaluating disease recovery of a patient suffering from depression based on diffusion tensor imaging. The method comprises the following steps: establishing a brain structure network of a modeling sample; confirming a Rich club structure; establishing a Feeder-local sub-network; establishing a characteristic matrix; and through support vector regression, by taking an established characteristic matrix as a characteristic set, establishing an evaluation model through polynomial kernel functions. By adopting the method, the recovery process of a disease is evaluated according to objective iconography data, pure data driving is achieved, the disease recovery degree of a patient is judged completely on the basis of research on topology structure similarity models of Feeder-local sub-networks after layering of the Rich-club structure, doctors or patients do not need to join in the evaluation, and errors caused by objective factors are avoided.

The invention discloses a tree shrew behavior sensitization model evaluation method and an open field experiment device for the evaluation, the method comprises the following steps of: inducing the tree shrew behavior sensitization by METH, detecting the tree shrew behavior science, the motion distance, the speed and the track by an open field experiment, measuring the weight change of the tree shrew and marking plate behaviors; the invention also discloses an open field experiment device for evaluating the tree shrew behavior sensitization model, which comprises a box body, a bottom plate replacement box, a moving chassis, a fixing bracket and a camera, wherein the bottom of the moving chassis is provided with universal wheel with a brake, the box body is fixed on the top of the bottom plate replacement box, the bottom plate replacement box is fixed on the moving chassis, an upright post of the fixing bracket is fixed on the moving chassis, and the camera is fixed on the fixing bracket. The device provides reference and guidance for the success of establishing the tree shrew behavior sensitization model, and is convenient for researching the addiction mechanism of lazy drugs by means of the tree shrew behavior sensitization model; the open field experiment device can conveniently replace the bottom plate after each batch of experiments are finished, thereby reducing the time for cleaning, scraping, assembling and other processes.

The invention relates to the field of petroleum and natural gas exploration and development, in particular to a gas-bearing property detection method based on nonlinear inversion of a pore medium asymptotic equation. The method comprises the following steps: initiating an application method for extracting a gas-bearing property indication based on an inversion method, carrying out forward modelingresearch from logging petrophysical data, observing a phenomenon that the amplitude changes with the frequency through a model, and analyzing the phenomenon. Finally, an objective function is established in a frequency domain by using a normal asymptotic equation, and the gas-bearing property inversion based on a normal reflection coefficient of a porous medium is realized by using a nonlinear chaos method. The model studied in the invention combines a Barenblatt model and a Biot elastic pore theory, however, the application of the model is not limited to fractured reservoirs, but is applicable to situations where two or more scales exist in rocks.

The orthogonal space random walk (OSRW) algorithm is generalized to be the orthogonal space tempering (OST) method via the introduction of the orthogonal space sampling temperature. Moreover, a double-integration recursion method is developed to enable practically efficient and robust OST free energy calculations, and the algorithm is augmented by a novel θ-dynamics approach to realize both the uniform sampling of order parameter spaces and rigorous end point constraints. In the present work, the double-integration OST method is employed to perform alchemical free energy simulations, specifically to calculate the free energy difference between benzyl phosphonate and difluorobenzyl phosphonate in aqueous solution, to estimate the solvation free energy of the octanol molecule, and to predict the nontrivial Barnase-Barstar binding affinity change induced by the Barnase N58A mutation. As demonstrated in these model studies, the DI-OST method can robustly enable practically efficient free energy predictions, particularly when strongly coupled slow environmental transitions are involved.

The present invention concerns non-human transgenic animals as model study for human pathologies, being transgenic for having altered melusin expression. The non-human transgenic animals are to be used as models to study heart pathologies and provide therapies thereof, wherein the heart pathologies are heart failure, and in particular diluted cardiomyopathy.

A scaled model-based UHV converter transformer impulse withstand voltage test method, according to the specific structure of the scaled model designed based on the scaled-down theory, conducts simulation research to obtain the distribution parameters of the scaled-down model windings, and determine the test waveform; according to the research needs , set the lead-out tap on the scaled model to obtain the required test waveform, and set related faults; make the actual equipment, use the scaled model to test, and adjust the parameters of the produced power equipment to obtain the required test waveform; Simplify the structure of the equipment and The test method is to obtain the winding voltage distribution waveform, and set the tap to set the corresponding fault for experimental research; through the analysis and research, the normal condition of the winding under the impulse voltage and the voltage distribution characteristics of the fault condition are obtained, and the UHV commutation is obtained by using the scaling relationship Transformer voltage distribution characteristics. The invention can simplify the test steps, reduce the test cost, shorten the test period, and can study the winding voltage distribution characteristics under different fault conditions.

The invention provides a predication model of Salmonella typhimurium on the surface of strawberries under a warm rinse condition, represented by formula represented by Y(t) = logNt - logN0 = (0.0194 - 0.0005T) * t<1.015>, and an establishing method of the model. Model verification confirms that the model can accurately, objectively and quantitatively reflect the change of Salmonella typhimurium on the surface of the strawberries under the warm rinse condition, provides data bases for researches of strawberry risk assessment models, and is in favor of realizing quality control and risk early warning and assessment of the strawberries.

The invention discloses the new application of ebony and its extracts in the prevention and treatment of intestinal cancer. Based on the existing efficacy of ebony, the present invention conducts in-depth research through a large number of experiments, and adopts a mouse model of enteropathy induced by AOM-DSS to study The results show that ebony and its extracts can significantly improve the weight loss of model mice in the process of enteropathy carcinogenesis, significantly improve the progressive weight loss, loose stools and bloody stools and other symptoms of enteropathy carcinogenesis mice; The incidence of colon tumors in mice has a good effect on preventing and controlling colon cancer.

The invention discloses a modeling method of a software cost model considering the difference between software testing and a running environment, and belongs to the field of software cost model research. The method comprises the following steps: considering the difference between testing and the running environment into the modeling process of the software cost model, and analyzing the influence of the environment difference on the software testing cost and the maintaining cost; based on environmental factors, constructing functions of cost c1 of correcting unit software failures in the testing phase and testing cost c2 of unit time in the testing phase in the software cost model, and further obtaining a novel software cost model; according to the model, forecasting the software cost. The method reflects the influence of the environment difference on the software cost, the software cost model forecasting conforms to reality, therefore, the soft cost is more precisely forecasted, and the software release time is determined.

The invention discloses a model device for studying migration of polluting gas during pile foundation hitting on a polluted site. The model device comprises a model box and polluting gas releasing equipment, wherein a gas dispersing pipe is arranged at the bottom of the inner side of the model box; the model box is sequentially filled with a soil layer, a fine sand layer and a gravel layer from the top to the bottom; a horizontal polluting gas isolating layer is arranged on the top surface of the soil layer; a gas collecting chamber is formed in the upper part of the model box; the gas collecting chamber is positioned above the horizontal polluting gas isolating layer; the gas collecting chamber comprises gas collecting subcells which are arranged in parallel; the horizontal polluting gas isolating layer is arranged on the bottom surface of each gas collecting subcell; each gas collecting subcell is connected with a gas collecting device; the polluting gas releasing equipment is connected with the gas dispersing pipe in the model box. The model device can effectively evaluate a migration process of the polluting gas during pile foundation construction on an organic polluted site.