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Ultrasound augmenting injectable chemotaxis hydrogel for articular cartilage repair in osteoarthritis 被引量:1
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作者 Hui Liu Xi Xiang +8 位作者 Jianbo Huang Bihui Zhu Liyun Wang Yuanjiao Tang Fangxue Du Ling Li Feng Yan Lang Ma Li Qiu 《Chinese Chemical Letters》 SCIE CAS CSCD 2021年第5期1759-1764,共6页
The increasing incidence of osteoarthritis(OA) seriously affects life quality,posing a huge socioeco nomic burden.Tissue engineering technology has become a hot topic in articular cartilage repair as one of the key tr... The increasing incidence of osteoarthritis(OA) seriously affects life quality,posing a huge socioeco nomic burden.Tissue engineering technology has become a hot topic in articular cartilage repair as one of the key treatment methods to alleviate OA.Hydrogel,one of the most commonly used scaffold materials,ca n provide a good extracellular matrix microenvironment fo r seed cells such as bone marrow mesenchymal stem cells(BMSCs),which can promote cartilage regeneration.However,the low homing rate of stem cells severely limits their role in promoting articular cartilage regeneration.Stro mal cell-derived factor-1α(SDF-1α) plays a crucial role in the activatio n,mobilization,homing,and migration of MSCs.He rein,a novel injectable chemotaxis hydrogel,composed of chitosan-based injectable hydrogel and embedding SDF-1α-loaded nanodroplets(PFP@NDs-PEG-SDF-1α) was designed and fabricated.The ultrasound was then used to augment the injectable chemotaxis hydrogel and promote the homing migration of BMSCs for OA cartilage repair.The effect of ultrasound augmenting injectable PFP@NDs-PEG-SDF-1α/hydrogel on the migration of BMSCs was verified in vitro and in vivo,which re markably promotes stem cell homing and the repair of cartilage in the OA model.Therefore,the treatment strategy of ultrasound augmenting injectable chemotaxis hydrogel has a bright potential for OA articular cartilage repair. 展开更多
关键词 sdf-la Injectable hydrogel ULTRASOUND OSTEOARTHRITIS Cartilage repair
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模糊神经网络辨识和控制在非线性系统中的应用研究 被引量:2
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作者 刘孝恒 李振华 《电气传动自动化》 2006年第6期11-14,共4页
针对生成过程中存在大量的非线性系统,采用传统的控制方法不能达到满意的控制效果的实际情况,提出一种基于模糊神经网络(FuzzyNeuralNetwork:FNN)的控制策略,融合模糊控制和神经网络的优点,根据过程变量的动态变化实施控制器的在线参数... 针对生成过程中存在大量的非线性系统,采用传统的控制方法不能达到满意的控制效果的实际情况,提出一种基于模糊神经网络(FuzzyNeuralNetwork:FNN)的控制策略,融合模糊控制和神经网络的优点,根据过程变量的动态变化实施控制器的在线参数调整使非线性系统的控制获得了良好的效果,仿真表明了该控制方案的优越性。 展开更多
关键词 模糊神经网络 隶属度函数 学习算法
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