目的探讨局灶性癫痫围发作期心率变异性变化特点。方法收集2014年9月至2019年9月在首都医科大学附属北京天坛医院癫痫中心进行术前评估并完成手术的癫痫患者102例,选择局灶性发作198次,手动测量相邻两个心电活动的RR间期,计算心率变异...目的探讨局灶性癫痫围发作期心率变异性变化特点。方法收集2014年9月至2019年9月在首都医科大学附属北京天坛医院癫痫中心进行术前评估并完成手术的癫痫患者102例,选择局灶性发作198次,手动测量相邻两个心电活动的RR间期,计算心率变异性时域参数-相邻正常心跳间期差值平方和的均方根(RMSSD),比较发作前60 s、发作期、终止后60 s RMSSD差异,并比较不同心率变化类型、不同发作类型、不同发作前状态以及不同致痫灶部位和侧别RMSSD差异。结果发作期和发作前60 s及终止后60 s RMSSD相比差异有统计学意义(P<0.001),提示发作期RMSSD降低;心率增快类型癫痫发作期RMSSD降低(P<0.001);复杂部分性癫痫发作期RMSSD降低(P<0.001);颞叶内侧癫痫发作期RMSSD降低(右颞叶内侧P<0.001;左颞叶内侧P<0.001);心率无变化(P=0.556)和心率减慢(P=0.983)类型癫痫发作、单纯部分性癫痫(P=0.869)、颞叶外侧癫痫(右颞叶外侧P=0.204;左颞叶外侧P=0.849)和颞叶外癫痫(右颞外P=0.188;左颞外P=0.068)发作期RMSSD无降低。发作期和发作前60 s RMSSD差值在睡眠期更明显(P=0.039)。结论心率增快类型癫痫发作、复杂部分性癫痫、颞叶内侧癫痫发作期易发生心率变异性下降,提示癫痫发作期副交感活性下降;睡眠期状态下发生的癫痫发作期心率变异性下降相比清醒期显著,提示睡眠期癫痫发作副交感活性下降更加明显。展开更多
In this paper, we propose a parallel data assimilation module based on ensemble optimal interpolation （EnOI）. We embedded the method into the full-spectral third-generation wind-wave model, WAVEWATCH III Version 3.1...In this paper, we propose a parallel data assimilation module based on ensemble optimal interpolation （EnOI）. We embedded the method into the full-spectral third-generation wind-wave model, WAVEWATCH III Version 3.14, producing a wave data assimilation system. We present our preliminary experiments assimilating altimeter significant wave heights （SWH） using the EnOI-based wave assimilation system. Waters north of 15°S in the Indian Ocean and South China Sea were chosen as the target computational domain, which was two-way nested into the global implementation of the WAVEWATCH III. The wave model was forced by six-hourly ocean surface wind velocities from the cross-calibrated multi-platform wind vector dataset. The assimilation used along-track SWH data from the Jason-2 altimeter. We evaluated the effect of the assimilation on the analyses and hindcasts, and found that our technique was effective. Although there was a considerable mean bias in the control SWHs, a month-long consecutive assimilation reduced the bias by approximately 84% and the root mean-square error （RMSE） by approximately 65%. Improvements in the SWH RMSE for both the analysis and hindcast periods were more significant in July than January, because of the monsoon climate. The improvement in model skill persisted for up to 48 h in July. Furthermore, the SWH data assimilation had the greatest impact in areas and seasons where and when the sea-states were dominated by swells.展开更多
This paper presents an innovative and low-cost approach for nondestructive fruit quality analysis. The specialized optical fiber sensor developed and presented in this paper used a monochromatic wavelength, rather tha...This paper presents an innovative and low-cost approach for nondestructive fruit quality analysis. The specialized optical fiber sensor developed and presented in this paper used a monochromatic wavelength, rather than a broad spectrum, to measure the intact carambola （star fruit） intrinsic quality, namely pH and firmness. The main objective of this research was to investigate the two optical fiber sensors used in this work, namely, the optical fiber red system （OF-RS） that operated with the peak sensitivity at 635 nm and the optical fiber near the infrared spectroscopy system （OF-NIRS） that operated with the peak sensitivity at 880nm. Both systems showed good accuracy in the pH and firmness measurement of the intact carambola with the correlation coefficient R over 0.75, and the measurement results were comparable with those of the commercial spectrometer. The best measurement results were obtained using OF-RS （pH： R = 0.876; the root mean square error （RMSE） = 0.211 pH; firmness： R = 0.872; RMSE = 0.909 kgf）.展开更多
文摘目的探讨局灶性癫痫围发作期心率变异性变化特点。方法收集2014年9月至2019年9月在首都医科大学附属北京天坛医院癫痫中心进行术前评估并完成手术的癫痫患者102例,选择局灶性发作198次,手动测量相邻两个心电活动的RR间期,计算心率变异性时域参数-相邻正常心跳间期差值平方和的均方根(RMSSD),比较发作前60 s、发作期、终止后60 s RMSSD差异,并比较不同心率变化类型、不同发作类型、不同发作前状态以及不同致痫灶部位和侧别RMSSD差异。结果发作期和发作前60 s及终止后60 s RMSSD相比差异有统计学意义(P<0.001),提示发作期RMSSD降低;心率增快类型癫痫发作期RMSSD降低(P<0.001);复杂部分性癫痫发作期RMSSD降低(P<0.001);颞叶内侧癫痫发作期RMSSD降低(右颞叶内侧P<0.001;左颞叶内侧P<0.001);心率无变化(P=0.556)和心率减慢(P=0.983)类型癫痫发作、单纯部分性癫痫(P=0.869)、颞叶外侧癫痫(右颞叶外侧P=0.204;左颞叶外侧P=0.849)和颞叶外癫痫(右颞外P=0.188;左颞外P=0.068)发作期RMSSD无降低。发作期和发作前60 s RMSSD差值在睡眠期更明显(P=0.039)。结论心率增快类型癫痫发作、复杂部分性癫痫、颞叶内侧癫痫发作期易发生心率变异性下降,提示癫痫发作期副交感活性下降;睡眠期状态下发生的癫痫发作期心率变异性下降相比清醒期显著,提示睡眠期癫痫发作副交感活性下降更加明显。
基金Supported by the National Special Research Fund for Non-Profit Marine Sector(Nos.201005033,201105002)the National High Technology Research and Development Program of China(863 Program)(No.2012AA091801)+1 种基金the National Natural Science Foundation of China(No.U1133001)the NSFC-Shandong Joint Fund for Marine Science Research Centers(No.U1406401)
文摘In this paper, we propose a parallel data assimilation module based on ensemble optimal interpolation （EnOI）. We embedded the method into the full-spectral third-generation wind-wave model, WAVEWATCH III Version 3.14, producing a wave data assimilation system. We present our preliminary experiments assimilating altimeter significant wave heights （SWH） using the EnOI-based wave assimilation system. Waters north of 15°S in the Indian Ocean and South China Sea were chosen as the target computational domain, which was two-way nested into the global implementation of the WAVEWATCH III. The wave model was forced by six-hourly ocean surface wind velocities from the cross-calibrated multi-platform wind vector dataset. The assimilation used along-track SWH data from the Jason-2 altimeter. We evaluated the effect of the assimilation on the analyses and hindcasts, and found that our technique was effective. Although there was a considerable mean bias in the control SWHs, a month-long consecutive assimilation reduced the bias by approximately 84% and the root mean-square error （RMSE） by approximately 65%. Improvements in the SWH RMSE for both the analysis and hindcast periods were more significant in July than January, because of the monsoon climate. The improvement in model skill persisted for up to 48 h in July. Furthermore, the SWH data assimilation had the greatest impact in areas and seasons where and when the sea-states were dominated by swells.
文摘This paper presents an innovative and low-cost approach for nondestructive fruit quality analysis. The specialized optical fiber sensor developed and presented in this paper used a monochromatic wavelength, rather than a broad spectrum, to measure the intact carambola （star fruit） intrinsic quality, namely pH and firmness. The main objective of this research was to investigate the two optical fiber sensors used in this work, namely, the optical fiber red system （OF-RS） that operated with the peak sensitivity at 635 nm and the optical fiber near the infrared spectroscopy system （OF-NIRS） that operated with the peak sensitivity at 880nm. Both systems showed good accuracy in the pH and firmness measurement of the intact carambola with the correlation coefficient R over 0.75, and the measurement results were comparable with those of the commercial spectrometer. The best measurement results were obtained using OF-RS （pH： R = 0.876; the root mean square error （RMSE） = 0.211 pH; firmness： R = 0.872; RMSE = 0.909 kgf）.
