Flatness predictive model based on T-S cloud reasoning network implemented by DSP

The accuracy of present flatness predictive method is limited and it just belongs to software simulation. In order to improve it, a novel flatness predictive model via T-S cloud reasoning network implemented by digital signal processor(DSP) is proposed. First, the combination of genetic algorithm(GA) and simulated annealing algorithm(SAA) is put forward, called GA-SA algorithm, which can make full use of the global search ability of GA and local search ability of SA. Later, based on T-S cloud reasoning neural network, flatness predictive model is designed in DSP. And it is applied to 900 HC reversible cold rolling mill. Experimental results demonstrate that the flatness predictive model via T-S cloud reasoning network can run on the hardware DSP TMS320 F2812 with high accuracy and robustness by using GA-SA algorithm to optimize the model parameter.

向尿路上皮细胞定向诱导分化的脂肪干细胞与小肠黏膜下层支架的生物相容性研究

目的分离、扩增兔脂肪干细胞,诱导脂肪干细胞向尿路上皮细胞分化,并将诱导后细胞与小肠黏膜下层复合,评价细胞与支架材料的生物相容性,为进一步构建组织工程化组织提供实验基础。方法 6只8周龄新西兰兔腹股沟脂肪组织,通过胶原酶消化法分离脂肪干细胞,流式细胞鉴定后将第3代脂肪干细胞与尿路上皮细胞间接共培养2周,并进行分化后细胞的鉴定。随后将分化后细胞种植在小肠黏膜下层上,通过扫描电镜、组织学切片观察诱导后细胞在小肠黏膜下层上的生长情况。结果脂肪干细胞培养成功并在体外扩增,流式术检测表面抗原CD分子,细胞高表达CD29 (99.6%)、CD44 (98.2%),低表达CD31(1.9%)、CD45(1.6%)。通过间接共培养诱导分化后,细胞免疫荧光、Western blot检测到尿路上皮标志物UPIa的表达,而未诱导的脂肪干细胞无表达。扫描电镜提示诱导后细胞在小肠黏膜下层上生长,粘附较好。组织学检查可见小肠黏膜下层表面细胞平铺生长。结论脂肪干细胞向尿路上皮诱导分化后可作为泌尿系组织工程的种子细胞,可能是尿路上皮细胞之外的又一新选择。小肠黏膜下层能支持诱导后的脂肪干细胞良好的生长,该支架可作为载体材料用于泌尿系组织工程的修复与重建。