1294 results about "Cell model" patented technology

The invention provides a multi-scale multiphysics coupling simulation method of metal additive manufacturing. The method comprises the following steps: S1, establishing a metal additive manufacturing technology data model; S2, carrying out first-principles calculation by calculation software on a microscale through first principles to acquire micro physical properties of additive metal material; S3, establishing an NxNxN super-cell model of the additive metal material, and carrying out molecular dynamics simulation calculation through molecular dynamics simulation software; S4, studying plasma, which is generated in a melting process of metal powder heated by an electron beam or a laser, on a mesoscale; S5, utilizing a flow-heat-solid-magnet multiphysics coupling simulation platform for simulation calculation; and S6, establishing a technology parameter feedback control model for different types and distribution situations of defects, and optimizing metal additive manufacturing technology parameters. The method forms a macro-micro-integration metal additive manufacturing product quality prediction system by means of multi-scale multiphysics coupling simulation.

The invention discloses a method for estimating the charge state of a power cell, which comprises the following steps that: 1. a continuous state space model capable of expressing the relationship of each element in an expression circuit is obtained by an equivalent circuit model of a power cell; the relationship between the open-circuit voltage and the cell charge state is obtained through the standing experiment of the power cell, and the cell charge state is introduced into the continuous state space model of the power cell as a state variable; the power battery model under the noise environment is obtained by combining the noise information; and finally the continuous state space model is subjected to linearization and discretization so as to obtain a linear discrete state space model; 2. a relationship curve of the open-circuit voltage and the cell charge state is obtained through the standing experiment of the power cell, and a parameter k and a parameter d in the power cell model are obtained approximately; 3. parameters of the power cell model are obtained through the identification of current and voltage data collected by a data collecting system; and 4. the power cell charge state is estimated by utilizing a moving horizon estimation method based on the determined power cell model.

The invention discloses a power-cell SOC online closed-loop estimation method based on an N-2RC model. In the invention, an electrochemical model and an equivalent circuit model are combined and a novel power cell model is provided. The N-2RC model uses a Nernst electrochemical model to replace an electromotive force portion of a second-order RC equivalent circuit model so that one to one correspondence of a cell electromotive force and SOC can be accurately reflected. Based on the model, a recursive least-square method based on a forgetting factor is used to identify a model parameter, and then an expansion Kalman filtering algorithm is used to realize on-line closed loop estimation of the cell SOC. The electrochemical model can well describe a cell characteristic on an electrochemical aspect, but the structure is complex and the model is not suitable for individually individual usage. And the equivalent circuit model belongs to an external characteristic model and can well express a volt-ampere characteristic relationship of the cell, but can not reflect an internal characteristic of the cell. By using the method in the invention, the above problems are overcome.

The invention relates to a method for knocking out two mir-505 alleles. The method comprises the following steps: constructing two targeting vectors for mir-505 alleles, replacing and knocking one mir-505 allele out of a cell of a mammal by mediating one targeting vector by using a CRISPR/Cas system, obtaining the cell with one mir-505 allele being knocked out by adopting a G418 resistance screening method, knocking another mir-505 allele out of the cell of the mammal by mediating another green fluorescent targeting vector by using the CRISPR/Cas system based on the cells, and obtaining the cell with two mir-505 alleles being knocked out by adopting a fluorescence screening method. The method is helpful to constructing a gene knocked-out cell model and has good application prospect.

The invention discloses a gRNA (guide ribonucleic acid) sequence. The sequence can be used for DNA (deoxyribonucleic acid) sequence edition by using a hepatitis B virus genome S gene conserved region site as a target sequence, can successfully destroy the HBV (hepatitis B virus) cccDNA and integrated-state HBV DNA in a HBV stable cell model and an HBV hydrodynamic mouse model, and obtains obvious effects on inhibiting HBV replication and expression. The invention also discloses application of the CRISPR-Cas9 system containing the gRNA sequence in preparing drugs for treating hepatitis B.

The invention discloses a CRISPR (clustered regularly interspaced short palindromic repeats)/Cas9 system and application thereof to construction of swine-derived recombinant cells with insulin receptor substrate gene defects. The invention provides an sgRNA (ribonucleic acid) combination which is composed of sgRNAIRS1-1, sgRNAIRS1-3, sgRNAIRS2-2 and sgRNAIRS2-3. The invention provides a plasmid combination. The plasmid combination is composed of four plasmids, and the four plasmids are respectively subjected to transcription to obtain sgRNAIRS1-1, sgRNAIRS1-3, sgRNAIRS2-2 and sgRNAIRS2-3. Theapplication of the sgRNA combination or the plasmid combination is as follows: preparation of recombinant cells; preparation of a diabetic cell model; preparation of a diabetic animal model. Accordingto the invention, sgRNAIRS1-1 is as shown in SEQ ID NO:8; sgRNAIRS1-3 is as shown in SEQ ID NO:10; sgRNAIRS2-2 is shown as SEQ ID NO:14; and sgRNAIRS2-3 is as shown in SEQ ID NO:15. A solid foundation is laid for the preparation of diabetic pig models, and important application value for the research and development of diabetic medicaments is achieved.

The invention belongs to the field of air traffic management, and discloses a method for dynamically dividing a sector based on airspace traffic characteristics, which aims to confirm a sector division matched with airspace traffic changes according to airspace traffic change control, so as to realize optimal utilization of airspace resources. The method comprises three aspects, namely airspace information extraction, airspace modeling and sector optimized division algorithm. First, databases such as an airspace topological structure are constructed on basis of airspace static structural information and airspace dynamic information; then, a complicated network model is used for describing an airspace structure through regarding key points as nodes and air routes as sides; third, similarity of associated nodes in the complicated network model is calculated according to airspace dynamic information, a complicated weighing network is established, and an airspace convex cell model is established by utilizing the K-Means algorithm based on the complicated weighing network; and finally, the airspace convex cell model is combined with the hybrid coding genetic algorithm to obtain the final sector division result.

The invention relates to a cell model obtained after targeted knockout of a rabbit BMP2 gene based on CRISPR/Cas9 and application thereof, belonging to the technical field of molecular biology and biomedicine. According to the invention corresponding oligos are synthesized for three targeting sites of the rabbit BMP2 gene on the design principles of CRISPR/Cas9 and are constructed on px458 vectors; and a CRISPR/Cas9 system is constructed directed at the three targeting sites in rabbit mesenchymal stem cells, and the CRISPR/Cas9 system can effectively knock out the rabbit BMP2 gene, is easy to operate and has high rabbit BMP2 gene knockout efficiency. The cell model disclosed in the invention can greatly promote research related to the functions and signaling pathways of the BMP2 gene.

A method of calculating voltage and power of large-scaled photovoltaic power plant includes following steps. Environment models of varies locations within the photovoltaic power plant are obtained. A photovoltaic display model is established by establishing a photovoltaic cell model, combining the photovoltaic cell model with the environment models, determining a combination of the environmental data on photovoltaic panels and the photovoltaic cell model, and determining a quantitative relationship between a photovoltaic cell power generation state and photovoltaic environment. An inverter model is obtained by modeling inverters connected to photovoltaic cells. A grid-side model is obtained. An electrical energy and voltage forecast model is constructed by integrated the photovoltaic display model, the inverter model, and the grid-side model. An energy output and a voltage quality of the photovoltaic power plant is calculated by detecting voltage and current of the electrical energy and voltage forecast model.

The invention provides an LS-SVM (Least squares support vector machine) power cell SOC (State of Charge) estimation method and system, comprising the steps of: I, obtaining a Uoc based on a power cell model and parameters through an FFRLS (Forgetting factor least squares algorithm); II, fitting a Uoc-SOC relation through the FFRLS; III, building an on-line LS-SVM SOC training model; IV, estimating an SOC initial value, and estimating an SOC through an Ah method (Ampere-hour Counting method); and V, correcting and compensating the SOC estimated through the Ah method. In the system, real-time signals of voltage and current sensors access to a microprocessor; processing modules used for executing the method are stored in a program memory, and calculate and directly display real-time SOC estimation values. The method and system can effectively compensate for fitting errors and Ah method accumulative errors, and adjust model parameters on line and in real time, and have the characteristics of fast operation speed, high traceability, and accurate estimation; according to experiments, the SOC estimation precision through the method is high, and the mean absolute error is only 1.28%.

The invention discloses an LMNA gene knocked-out cell line. The cell line is a 293T cell line or a HePG2 tumor cell line. Cells to be knocked out are transfected by plasmid vectors constructed by twopairs of gRNA as shown in SEQ ID NO. 1-4 or two pairs of gRNA as shown in SEQ ID NO. 7-10 on the basis of a crispr-cas9 technology, and then are subjected to resistance screening to obtain the cell line. The LMNA gene knocked-out cell line can be used for intervention drug screening cell models for diseases such as dilated cardiomyopathy, fat metabolic disorder syndrome and premature aging syndromes.

The invention provides a method for knocking out a KDM2A gene of HEK293T cells with a CRISPR-CAS9 technology. The method comprises the steps as follows: (1), cell transfection; (2), cell genome extraction; (3), PCR identification; (4), gene level verification; (5), protein level verification: whether K3, K7-1 and K7-2 are KDM2A gene-deficient is further verified by Western blotting after a mutantcell line is verified at the gene level. The invention further provides a KDM2A knockout HEK293T cell line prepared with method and an application of the KDM2A knockout HEK293T cell line as a cell model in study of cell proliferation and apoptosis signaling pathways involved in KDM2A methylase.

The invention discloses a CRISPR/Cas9-gRNA targeting sequence pair and a CRISPR/Cas9-gRNA targeting plasmid of HTT (Huntingtin) and the application thereof, and relates to the technical field of biology. The CRISPR/Cas9-gRNA targeting sequence pair of the HTT comprises an L sequence and a R sequence, wherein the base sequence of the L sequence is shown as a SEQ ID NO.1; the base sequence of the Rsequence is shown as a SEQ ID NO.2 or 3. The CRISPR/Cas9-gRNA targeting plasmid of the HTT comprises a vector plasmid and the targeting sequence pair, wherein the targeting sequence pair is constructed in the vector plasmid. The invention further provides application of the targeting sequence pair to preparation of an HTT gene mutation model. A reliable basis is provided for establishment of an HD(Huntington's Disease) cell model and a transgenic animal model, and development of HD model building and gene therapy is promoted; an experimental foundation is laid for screening of HD treating medicines and HD treating methods.

The invention belongs to the field of robot technologies and application, and relates to a robot situational cognitive map constructing and navigating method based on mouse brain location cells. In the process of exploring the environment, own motion information and image information in the front part are obtained through a robot, and the own motion information is transferred to a grid cell computing model, so that a corresponding location cell model is generated; by defining an event, location information in space and the obtained image information of the robot are encapsulated, and the eventis marked by state neurons; in the process of exploration, the state neurons are constantly generated to cover the entire environment and form a situational cognitive map of the environment; the generated situational cognitive map is utilized, and a global path planning algorithm is adopted to realized robot navigation based on a target; and through a local path planning algorithm, the global path of the robot is further optimized by a laser ranging sensor, and real-time obstacle avoidance and path local optimization of the robot are realized.

A novel class of agents has been identified to serve as cell-guard agents and/or target-specific supplements to increase cell quality and yield, as well as select for target cell populations. Laboratory experiments have demonstrated the use of cell-guard agents and/or target-specific supplements in the bioprocessing of cells as well as in selecting out a desired cell population. Several potential additive agents (both natural and synthetic) have been identified during these studies, including Vitamin D₃, NAC, resveratrol, salubrinal, AKT, and tunicamycin (among others) that hold promise for application in cell models. In one embodiment, hypothermic stress regimes are utilized. In another embodiment, normothermic conditions are utilized while other stressors are tested in the processing. The methods of maintaining mass cell cultures and/or selecting out particular cell populations for further research and clinical use represents an important step in therapeutic discovery. The cell-guard agents are process-matched and cell-matched to protect and/or select particular cells during laboratory and clinical manipulation. The components modulate cell stress and survival pathways.

The invention discloses a novel lithium ion power cell SOC estimation method. The novel lithium ion power cell SOC estimation method is characterized in that a cell equivalent circuit model can be established, and the identification of the parameters of the established cell model can be carried out by adopting the least squares algorithm; according to the cell open-circuit voltage UOCV acquired by identifying the parameters according to the step one and the corresponding SOC relation, a corresponding function can be acquired by adopting a Shepherd model and a Nernst model in a combined manner, and the function is used for the matching of the UOCV and the SOC relation; the state equation and the observation equation of the SOC estimation can be established, and the STF algorithm has the strong robustness related to the model uncertainty and the extremely strong tracking capability related to the breaking state. The verification of the SOC estimation by adopting the EKF algorithm and the STF algorithm can be carried out by the constant current discharging experiment and the UDDS working condition experiment, and according to the result, the accuracy of the SOC estimation is higher by adopting the STF algorithm than adopting the EKF algorithm, and the convergence performance is better.

The invention discloses a novel application of fucoidan sulfate in prevention and cure of a parkinson disease. According to the experiments of an isolated PD cell model and an in vivo animal model, fucoidan sulfate has a certain neuroprotection effect on DA cholinergic neurons of the PD cell model and animal model and can prevent and cure the PD disease. The fucoidan sulfate of the invention can be natural polysaccharide extracts obtained form brown alga such as kelp, focus, bladder wrack, sea-tangle or chorda filum and also can be materials such as low molecular weight SSPSA or oligosaccharide which are obtained through the degradation of fucoidan sulfate.