Remote myocardial preconditioning can protect myocardium. Some bioactive substances released from noncardiac tissues which suffer from ischemia and reperfusion protects the heart by neuronal and humoral paths. Precond...Remote myocardial preconditioning can protect myocardium. Some bioactive substances released from noncardiac tissues which suffer from ischemia and reperfusion protects the heart by neuronal and humoral paths. Preconditioning at a distance can attenuate myocardial intracellular acidosis and Ca2+ overload,reduce neutrophil and platelet infiltration, protect mitochondrial function and reduce free radicals. This method is simple to apply and have some clinical value. In order to safely apply this method to clinic, a further study on the remote myocardial preconditioning and its mechanism is necessary.展开更多
The shortest path planning issure is critical for dynamic traffic assignment and route guidance in intelligent transportation systems. In this paper, a Particle Swarm Optimization (PSO) algorithm with priority-based e...The shortest path planning issure is critical for dynamic traffic assignment and route guidance in intelligent transportation systems. In this paper, a Particle Swarm Optimization (PSO) algorithm with priority-based encoding scheme based on fluid neural network (FNN) to search for the shortest path in stochastic traffic networks is introduced. The proposed algorithm overcomes the weight coefficient symmetry restrictions of the traditional FNN and disadvantage of easily getting into a local optimum for PSO. Simulation experiments have been carried out on different traffic network topologies consisting of 15-65 nodes and the results showed that the proposed approach can find the optimal path and closer sub-optimal paths with good success ratio. At the same time, the algorithms greatly improve the convergence efficiency of fluid neuron network.展开更多
目的:探讨玻璃体内注射重组人促红细胞生成素(recombinant human erythropoietin,rHuEPO)对慢性高眼压所致的大鼠视网膜神经元损伤的保护作用及其可能的作用机制。方法:健康SD大鼠30只随机分为5组,每组6只,分别为损伤组I,损伤组Ⅱ、DMS...目的:探讨玻璃体内注射重组人促红细胞生成素(recombinant human erythropoietin,rHuEPO)对慢性高眼压所致的大鼠视网膜神经元损伤的保护作用及其可能的作用机制。方法:健康SD大鼠30只随机分为5组,每组6只,分别为损伤组I,损伤组Ⅱ、DMSO组、rHuEPO组和rHuEPO+Wortmannin(WM)组。各组均以右眼为实验眼,损伤组Ⅱ大鼠激光处理1d后处死,其余各组激光处理8wk后处死。损伤组用532nm激光烧灼大鼠角巩膜缘浅层静脉,阻断房水回流的方法建立大鼠慢性高眼压模型,采用Tono-pen眼压计测量眼压。DMSO组、rHuEPO组和rHuEPO+WM组大鼠均在激光处理后1d开始分别向玻璃体内注射DM-SO、rHuEPO和rHuEPO+WM,1次/wk。正常对照组选取损伤组左眼作为对照眼。用免疫组织化学法和TUNEL染色检测观察各组实验结果。结果:与正常对照组比较,各组视网膜神经节细胞层(retinal ganglion cell layer,RGCL)中促红细胞生成素受体(erythropoirtin receptor,EPOR)表达增加,差异具有统计学意义(P<0.05)。与正常对照组比较,各组RGCL中蛋白激酶B(AKT)表达无明显改变,差异无统计学意义,损伤组I和DMSO组RGCL中磷酸化蛋白激酶B(PAKT)表达也无明显改变,但rHuEPO组RGCL中PAKT表达增加(P<0.05)。与损伤组I和DMSO组比较,rHuEPO组RGCL中凋亡神经细胞数目减少(P<0.05)。与rHuEPO组比较,rHuEPO+WM组RGCL中AKT表达无明显变化,但PA-KT表达减少(P<0.05),凋亡神经细胞数目增加(P<0.05)。结论:rHuEPO对慢性高眼压所致的大鼠视网膜神经元损伤有保护作用,且rHuEPO通过PI-3K/AKT信号途径抑制神经细胞凋亡而发挥其视神经保护作用。展开更多
文摘Remote myocardial preconditioning can protect myocardium. Some bioactive substances released from noncardiac tissues which suffer from ischemia and reperfusion protects the heart by neuronal and humoral paths. Preconditioning at a distance can attenuate myocardial intracellular acidosis and Ca2+ overload,reduce neutrophil and platelet infiltration, protect mitochondrial function and reduce free radicals. This method is simple to apply and have some clinical value. In order to safely apply this method to clinic, a further study on the remote myocardial preconditioning and its mechanism is necessary.
文摘The shortest path planning issure is critical for dynamic traffic assignment and route guidance in intelligent transportation systems. In this paper, a Particle Swarm Optimization (PSO) algorithm with priority-based encoding scheme based on fluid neural network (FNN) to search for the shortest path in stochastic traffic networks is introduced. The proposed algorithm overcomes the weight coefficient symmetry restrictions of the traditional FNN and disadvantage of easily getting into a local optimum for PSO. Simulation experiments have been carried out on different traffic network topologies consisting of 15-65 nodes and the results showed that the proposed approach can find the optimal path and closer sub-optimal paths with good success ratio. At the same time, the algorithms greatly improve the convergence efficiency of fluid neuron network.
