Objective: To study responses of injured DRG neurons to sympathetic stimulation with different temporal stimulating pattern. Methods: In chronically compressed DRG model, the spontaneous activity of single fiber from ...Objective: To study responses of injured DRG neurons to sympathetic stimulation with different temporal stimulating pattern. Methods: In chronically compressed DRG model, the spontaneous activity of single fiber from the injured DRG neuron was recorded, lumbar sympathetic trunk was electrical stimulated, and the responses of DRG neurons caused by chaotic and periodic sympathetic stimulation were compared. Results: It was found that the response of DRG increased gradually as the sympathetic stimulating frequency increased from 5 Hz to 20 Hz(P<0.01). The chaotic stimulation evoked much greater response than periodic stimulation did, even though the stimulating frequence was similar(P<0.01). Conclusion: Besides the stimulating frequency, the temporal stimulating pattern is one of important factor that effect response of DRG neuron to sympathetic stimulation. The chaotic activity of neurons might be one of effective way to transmit neural information.展开更多
To investigate the annual and interaunual variability of ocean surface wind over the South China Sea （SCS）, the vector empirical orthogonal function （VEOF） method and the Hilbert-Huang transform （HHT） method wer...To investigate the annual and interaunual variability of ocean surface wind over the South China Sea （SCS）, the vector empirical orthogonal function （VEOF） method and the Hilbert-Huang transform （HHT） method were employed to analyze a set of combined satellite scatterometer wind data during the period from December 1992 to October 2009. The merged wind data were generated from European Remote Sensing Satellite （ERS）-1/2 Scatterometer, NASA Scatterometer （NSCAT） and NASA＇s Quick Scatterometer （QuikSCAT） wind products. The first VEOF mode corresponds to a winter-summer mode which accounts for 87.3% of the total variance and represents the East Asian monsoon features. The second mode of VEOF corresponds to a spring-autumn oscil- lation which accounts for 8.3% of the total variance. To analyze the interannual variability, the annual signal was removed from the wind data set and the VEOFs of the residuals were calculated. The temporal mode of the ftrst intcrannual VEOF is correlated with the Southern Oscillation Index （SOI） with a four-month lag. The second temporal interannual VEOF mode is correlated with the SOI with no time lag. The time series of the two interannual VEOFs were decomposed using the HI-IT method and the results also show a correlation between the interannual variability and El Nino-Southern Oscillation （ENSO） events.展开更多
基金Supported by the National Natural Science Foundation of China(No.39970242)and the National Basic Research Program(G1999054000)of China
文摘Objective: To study responses of injured DRG neurons to sympathetic stimulation with different temporal stimulating pattern. Methods: In chronically compressed DRG model, the spontaneous activity of single fiber from the injured DRG neuron was recorded, lumbar sympathetic trunk was electrical stimulated, and the responses of DRG neurons caused by chaotic and periodic sympathetic stimulation were compared. Results: It was found that the response of DRG increased gradually as the sympathetic stimulating frequency increased from 5 Hz to 20 Hz(P<0.01). The chaotic stimulation evoked much greater response than periodic stimulation did, even though the stimulating frequence was similar(P<0.01). Conclusion: Besides the stimulating frequency, the temporal stimulating pattern is one of important factor that effect response of DRG neuron to sympathetic stimulation. The chaotic activity of neurons might be one of effective way to transmit neural information.
基金supported by the National Natural Science Foundation of China through G41006108the Open Research Fund of the Shandong Provincial Key Laboratory of Marine Ecology and Environment & Disaster Prevention and Mitigation through G2011001+1 种基金the Laboratory of Data Analysis and Application, State Oceanic Administration through LDAA-2013-02the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering through G2009586812
文摘To investigate the annual and interaunual variability of ocean surface wind over the South China Sea （SCS）, the vector empirical orthogonal function （VEOF） method and the Hilbert-Huang transform （HHT） method were employed to analyze a set of combined satellite scatterometer wind data during the period from December 1992 to October 2009. The merged wind data were generated from European Remote Sensing Satellite （ERS）-1/2 Scatterometer, NASA Scatterometer （NSCAT） and NASA＇s Quick Scatterometer （QuikSCAT） wind products. The first VEOF mode corresponds to a winter-summer mode which accounts for 87.3% of the total variance and represents the East Asian monsoon features. The second mode of VEOF corresponds to a spring-autumn oscil- lation which accounts for 8.3% of the total variance. To analyze the interannual variability, the annual signal was removed from the wind data set and the VEOFs of the residuals were calculated. The temporal mode of the ftrst intcrannual VEOF is correlated with the Southern Oscillation Index （SOI） with a four-month lag. The second temporal interannual VEOF mode is correlated with the SOI with no time lag. The time series of the two interannual VEOFs were decomposed using the HI-IT method and the results also show a correlation between the interannual variability and El Nino-Southern Oscillation （ENSO） events.
