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140 results about "Random mutation" patented technology

Chimeric antigen receptor for identifying carcino-embryonic antigens and application of chimeric antigen receptor

The invention belongs to the field of gene engineering, and particularly relates to a chimeric antigen receptor for identifying carcino-embryonic antigens and an application of the chimeric antigen receptor. A single-chain fragment variable (scFV) for identifying the carcino-embryonic antigens, a hinge region, a transmembrane region and an intracellular signal domain are sequentially connected to form the chimeric antigen receptor, and the amino acid sequence of the single-chain fragment variable (scFV) for identifying the carcino-embryonic antigens includes M5A-scFV amino acid sequence or amino acid sequence acquired by performing random mutation on M5A-scFV polypeptide. When the chimeric antigen receptor identifies the carcino-embryonic antigens, T lymphocytes can be more stably expressed, the positive rate of a chimeric antigen receptor of a target CEA (carcino-embryonic antigen) can be maintained in the culture process of patient cells, proliferation capacity and tumor killing capacity of CAR-T (chimeric antigen receptor T lymphocytes) can be improved, the chimeric antigen receptor does not have toxic and side effects on confrontation of original negative cells, can be used for targeted treatment of tumors and high in humanization degree, immunogenicity of the CAR can be effectively reduced, and continuity and safety of the CAR-T in human bodies are improved.
Owner:CHONGQING PRECISION BIOTECH CO LTD

Parameter identification method of asynchronous motor based on improved particle swarm optimization algorithm

The invention relates to a parameter identification method of an asynchronous motor based on an improved particle swarm optimization algorithm. Based on a standard particle swarm optimization algorithm, the maximum weighting coefficient (as the following formula) and the minimum weighting coefficient (as the following formula) are set in batches respectively; a random mutation operator is added, and the strategy of adding the mutation operator to perform random mutation on gbest improves the ability of the algorithm to jump out of local convergence, improves the problem of premature falling into local optimum of the particle swarm, expands the search scope of particles, improves the global searching ability and convergence speed of the particle swarm optimization algorithm, reduces the risk of falling into the local optimum, and takes both precision and efficiency of an optimization process into account. According to the parameter identification method of the asynchronous motor based on the improved particle swarm optimization algorithm provided by the invention, the measuring value of each working characteristic of the asynchronous motor is obtained by measuring, the improved particle swarm optimization algorithm is used to realize the static parameter identification of the asynchronous motor, and the method still has higher identification accuracy in the presence of noise.
Owner:FUZHOU UNIV

Method for determining low-loss operation mode of medium voltage distribution network

The invention discloses a method for determining the low-loss operation mode of a medium voltage distribution network. The method includes the steps of: 1, firstly establishing a medium voltage distribution network low-loss operation mode customization model which takes the minimal total electric energy loss in a customization period under a plurality of constraint conditions including the reliability constraint as a target; 2, reading basic data of the distribution network; 3, setting reliability index constraint limits; 4, optimally searching different switch vector states of the distribution network by using an evolutionary programming algorithm combined with an improved random mutation strategy; 5, outputting results. According to the method, when customizing the operation mode of the medium voltage distribution network, the minimal total electric energy loss in the customization period is taken as the target, and the power supply reliability constraint is involved, thus being beneficial to improving operation economy and reliability of the distribution network, and being capable of ensuring network structure constraint of the distribution network, namely ensuring the radiation pattern and non-island operation of the distribution network.
Owner:GUANGXI POWER GRID CO LTD NANNING POWER SUPPLY BUREAU +2

Inverse kinematics solving method and device for service robot in intelligent space

The invention discloses an inverse kinematics solving method and device for a service robot in a smart space. The method includes the following steps that: the forward kinematics model of the robot isestablished by using a D-H parameter method; real number coding is performed on the joint variables of the robot; an adaptive function is constructed with difference between a current pose and a target pose adopted as an optimization objective; and a genetic algorithm is used to perform optimization solution on the joint variables, so that the optimal solution of the inverse kinematics problem isobtained. The method of the invention does not need to be limited to robot configurations, and a plurality of populations are introduced, so that parallel optimization search can be realized, and therefore, the method can cope with the increase of the degree of freedom of the robot; the real number coding is adopted for the individuals, and mapping errors occurring during continuous function discretization when binary coding is adopted can be avoided; and on the basis of the real number coding, crossover operation adopts a linear crossover mode, mutation operation adopts a random mutation mode, and adaptive crossover and mutation probabilities are introduced, and therefore, a better solution can be effectively protected in the later stage of evolution, and convergence speed and precisioncan be guaranteed.
Owner:山东大学深圳研究院
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