TMEM16F is involved in many physiological processes such as blood coagulation,cell membrane fusion and bone mineralization.Activation of TMEM16F has been studied in various central nervous system diseases.High TMEM16F...TMEM16F is involved in many physiological processes such as blood coagulation,cell membrane fusion and bone mineralization.Activation of TMEM16F has been studied in various central nervous system diseases.High TMEM16F level has been also found to participate in microglial phagocytosis and transformation.Microglia-mediated neuroinflammation is a key factor in promoting the progression of Alzheimer’s disease.However,few studies have examined the effects of TMEM16F on neuroinflammation in Alzheimer’s disease.In this study,we established TMEM16F-knockdown AD model in vitro and in vivo to investigate the underlying regulatory mechanism about TMEM16F-mediated neuroinflammation in AD.We performed a Morris water maze test to evaluate the spatial memory ability of animals and detected markers for the microglia M1/M2 phenotype and NLRP3 inflammasome.Our results showed that TMEM16F was elevated in 9-month-old APP/PS1 mice.After TMEM16F knockdown in mice,spatial memory ability was improved,microglia polarization to the M2 phenotype was promoted,NLRP3 inflammasome activation was inhibited,cell apoptosis and Aβplaque deposition in brain tissue were reduced,and brain injury was alleviated.We used amyloid-beta(Aβ_(25-35))to stimulate human microglia to construct microglia models of Alzheimer’s disease.The levels of TMEM16F,inducible nitric oxide synthase(iNOS),proinflammatory cytokines and NLRP3 inflammasome-associated biomarkers were higher in Aβ_(25-35) treated group compared with that in the control group.TMEM16F knockdown enhanced the expression of the M2 phenotype biomarkers Arg1 and Socs3,reduced the release of proinflammatory factors interleukin-1,interleukin-6 and tumor necrosis factor-α,and inhibited NLRP3 inflammasome activation through reducing downstream proinflammatory factors interleukin-1βand interleukin-18.This inhibitory effect of TMEM16F knockdown on M1 microglia was partially reversed by the NLRP3 agonist Nigericin.Our findings suggest that TMEM16F participates in neuroinflammation in Alzheimer’s disease through participating in polarization of microglia and activation of the NLRP3 inflammasome.These results indicate that TMEM16F inhibition may be a potential therapeutic approach for Alzheimer’s disease treatment.展开更多
数据关联是智能车同时定位与建图(simultaneous localization and mapping,SLAM)中的一个难点问题.为了快速准确获得数据关联结果,结合连续兼容最近邻(sequential compatibility nearest neighbor,SCNN)算法简单易实现和联合兼容分支定...数据关联是智能车同时定位与建图(simultaneous localization and mapping,SLAM)中的一个难点问题.为了快速准确获得数据关联结果,结合连续兼容最近邻(sequential compatibility nearest neighbor,SCNN)算法简单易实现和联合兼容分支定界(joint compatibility brarch and bound,JCBB)算法最优理念强的优点,提出了一种快速联合数据关联(fast joint data association,FJDA)算法.该算法首先在局部地图中采用SCNN数据关联算法处理所有的观测-特征对,得到关联结果;其次判断关联结果的准确性,若关联出错,则采用具有噪声的基于密度的聚类方法(densitybased spatial clustering of applications with noise,DBSCAN)对当前时刻的观测量进行分组,然后在每一小组中采用JCBB算法进行数据关联,最终将每一小组的关联解融合得到最终的关联结果.通过仿真实验对提出的算法、SCNN算法以及JCBB算法的性能进行了比较,结果表明提出的关联算法实时性强,准确度高.展开更多
本文阐述以D SP高速处理器T M S320F2812和Z igbee物联网技术相结合的无线充电系统。无线充电系统由一次侧和二次侧两部分组成,一次侧连接电源通过谐振线圈将电能传送到二次侧,二次侧连接电池实现电池充电。为了把二次侧电池的输出电压...本文阐述以D SP高速处理器T M S320F2812和Z igbee物联网技术相结合的无线充电系统。无线充电系统由一次侧和二次侧两部分组成,一次侧连接电源通过谐振线圈将电能传送到二次侧,二次侧连接电池实现电池充电。为了把二次侧电池的输出电压、输出电流和实时温度的数据反馈给一次侧的控制器,现以T M S320F2812分别作为一次侧和二次的处理器,用支持Z igbee技术的C C 2530芯片作为两侧无线收发模块。电动汽车电池管理系统的温度传感器、电压传感器、电流传感器的信息通过C A N总线收集到二次侧的T M S320F2812处理器,处理器通过I/O接口传到二次的C C 2530芯片,芯片无线R F模块完成数据发送。一次侧C C 2530芯片无线R F模块完成数据接受,一次侧控制器处接收到C C 2530的数据并判断电池充电状态,随后通过PW M来改变一次侧的输入功率实现电池的充电。展开更多
We compute the n-level correlation of normalized nontrivial zeros of a product of Lfunctions: L(s, π1) … L(s, π k ), where πj, j = 1, …, k, are automorphic cuspidal representations of GL mj (?A). Here the sizes o...We compute the n-level correlation of normalized nontrivial zeros of a product of Lfunctions: L(s, π1) … L(s, π k ), where πj, j = 1, …, k, are automorphic cuspidal representations of GL mj (?A). Here the sizes of the groups GL mj (?A) are not necessarily the same. When these L(s, π j ) are distinct, we prove that their nontrivial zeros are uncorrelated, as predicted by random matrix theory and verified numerically. When L(s, π j ) are not necessarily distinct, our results will lead to a proof that the n-level correlation of normalized nontrivial zeros of the product L-function follows the superposition of Gaussian Unitary Ensemble (GUE) models of individual L-functions and products of lower rank GUEs. The results are unconditional when m 1, …, m k ? 4, but are under Hypothesis H in other cases.展开更多
基金supported by the National Natural Science Foundation of China,No.82072941(to QHX)Liaoning Province Key R&D Program Guidance Project,No.2020JH2/10300044Science and Technology Plan Project of Shenyang,No.20-205-4-050(both to XHS)。
文摘TMEM16F is involved in many physiological processes such as blood coagulation,cell membrane fusion and bone mineralization.Activation of TMEM16F has been studied in various central nervous system diseases.High TMEM16F level has been also found to participate in microglial phagocytosis and transformation.Microglia-mediated neuroinflammation is a key factor in promoting the progression of Alzheimer’s disease.However,few studies have examined the effects of TMEM16F on neuroinflammation in Alzheimer’s disease.In this study,we established TMEM16F-knockdown AD model in vitro and in vivo to investigate the underlying regulatory mechanism about TMEM16F-mediated neuroinflammation in AD.We performed a Morris water maze test to evaluate the spatial memory ability of animals and detected markers for the microglia M1/M2 phenotype and NLRP3 inflammasome.Our results showed that TMEM16F was elevated in 9-month-old APP/PS1 mice.After TMEM16F knockdown in mice,spatial memory ability was improved,microglia polarization to the M2 phenotype was promoted,NLRP3 inflammasome activation was inhibited,cell apoptosis and Aβplaque deposition in brain tissue were reduced,and brain injury was alleviated.We used amyloid-beta(Aβ_(25-35))to stimulate human microglia to construct microglia models of Alzheimer’s disease.The levels of TMEM16F,inducible nitric oxide synthase(iNOS),proinflammatory cytokines and NLRP3 inflammasome-associated biomarkers were higher in Aβ_(25-35) treated group compared with that in the control group.TMEM16F knockdown enhanced the expression of the M2 phenotype biomarkers Arg1 and Socs3,reduced the release of proinflammatory factors interleukin-1,interleukin-6 and tumor necrosis factor-α,and inhibited NLRP3 inflammasome activation through reducing downstream proinflammatory factors interleukin-1βand interleukin-18.This inhibitory effect of TMEM16F knockdown on M1 microglia was partially reversed by the NLRP3 agonist Nigericin.Our findings suggest that TMEM16F participates in neuroinflammation in Alzheimer’s disease through participating in polarization of microglia and activation of the NLRP3 inflammasome.These results indicate that TMEM16F inhibition may be a potential therapeutic approach for Alzheimer’s disease treatment.
文摘数据关联是智能车同时定位与建图(simultaneous localization and mapping,SLAM)中的一个难点问题.为了快速准确获得数据关联结果,结合连续兼容最近邻(sequential compatibility nearest neighbor,SCNN)算法简单易实现和联合兼容分支定界(joint compatibility brarch and bound,JCBB)算法最优理念强的优点,提出了一种快速联合数据关联(fast joint data association,FJDA)算法.该算法首先在局部地图中采用SCNN数据关联算法处理所有的观测-特征对,得到关联结果;其次判断关联结果的准确性,若关联出错,则采用具有噪声的基于密度的聚类方法(densitybased spatial clustering of applications with noise,DBSCAN)对当前时刻的观测量进行分组,然后在每一小组中采用JCBB算法进行数据关联,最终将每一小组的关联解融合得到最终的关联结果.通过仿真实验对提出的算法、SCNN算法以及JCBB算法的性能进行了比较,结果表明提出的关联算法实时性强,准确度高.
文摘本文阐述以D SP高速处理器T M S320F2812和Z igbee物联网技术相结合的无线充电系统。无线充电系统由一次侧和二次侧两部分组成,一次侧连接电源通过谐振线圈将电能传送到二次侧,二次侧连接电池实现电池充电。为了把二次侧电池的输出电压、输出电流和实时温度的数据反馈给一次侧的控制器,现以T M S320F2812分别作为一次侧和二次的处理器,用支持Z igbee技术的C C 2530芯片作为两侧无线收发模块。电动汽车电池管理系统的温度传感器、电压传感器、电流传感器的信息通过C A N总线收集到二次侧的T M S320F2812处理器,处理器通过I/O接口传到二次的C C 2530芯片,芯片无线R F模块完成数据发送。一次侧C C 2530芯片无线R F模块完成数据接受,一次侧控制器处接收到C C 2530的数据并判断电池充电状态,随后通过PW M来改变一次侧的输入功率实现电池的充电。
基金supported by the 973 Programthe National Natural Science Foundation of China (GrantNo. 10531060)+2 种基金Ministry of Education of China (Grant No. 305009)The second author was supportedby the National Security Agency of USA (Grant No. H98230-06-1-0075)The United States government isauthorized to reproduce and distribute reprints notwithstanding any copyright notation herein.
文摘We compute the n-level correlation of normalized nontrivial zeros of a product of Lfunctions: L(s, π1) … L(s, π k ), where πj, j = 1, …, k, are automorphic cuspidal representations of GL mj (?A). Here the sizes of the groups GL mj (?A) are not necessarily the same. When these L(s, π j ) are distinct, we prove that their nontrivial zeros are uncorrelated, as predicted by random matrix theory and verified numerically. When L(s, π j ) are not necessarily distinct, our results will lead to a proof that the n-level correlation of normalized nontrivial zeros of the product L-function follows the superposition of Gaussian Unitary Ensemble (GUE) models of individual L-functions and products of lower rank GUEs. The results are unconditional when m 1, …, m k ? 4, but are under Hypothesis H in other cases.
