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The thermal stability and reactivity of organophosphorus flame‐retardants play a critical role in synthesizing copolymerized flame‐retardant polyamides. Herein, this work successfully synthesizes a flame‐retardant CEPPA‐DDA salt (CDS) with both good thermal stability and high reactivity by reacting 2‐carboxyethyl phenyl phosphonic acid (CEPPA) with 1,12‐dodecanediamine (DDA). Flame‐retardant polyamide...
Rheumatoid arthritis (RA) is an autoimmune inflammatory disorder characterized by joint destruction and bone damage. Methotrexate (MTX) is recommended as the first‐line disease‐modifying agent for the treatment of RA. However, the clinical efficacy of MTX is limited due to its low response and side effects, especially hepatotoxicity. Total phenolic extracts of Citrus aurantium L. (TPE‐CA) are rich...
Combining the wavelet analysis and partial differential equations denoising method and applying synthesis algorithm applied to CT image denoising in this paper. It has some advantages: small amount of calculation, pay attention to subtle changes when denoise, highlight the local character of image, overcome the inadequacy of single wavelet transform method to a certain extent. Both theoretical analysis...
A new cultural algorithm (CA) with double populations is proposed for designing Finite Impulse Response (FIR) digital filters. Two populations evolve independently according to different evolutionary schemes. One population employs variable inertia weight particle swarm optimization (PSO) algorithm, the other uses PSO with constriction factor. Belief space of CA plays the role of knowledge link in...
In this paper, a 2D size measurement model for regular parts based on structured Light sensor is built. This measurement system can be used for regular shape parts such as rectangle, circle, ring and so on. The key technology of this model are discussed. An experiment is designed and the result shows that the measurement system based on structured Light sensor inherited the advantages of both machine...
A forecasting model for gas emission based on wavelet neural network is proposed in this paper. In the model, wavelet neutral network (WNN) is applied to the forecasting with gradient descent and amended by validity of iteration training algorithm. Compared with back-propagation neural networks, forecasting of the model has advantages of faster convergence and more accurate. Simulation results have...
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