High-resolution precipitation data is conducive to objectively describe the spatial-temporal variability of regional precipitation,and the study of downscaling techniques and spatial scale effects can provide technica...High-resolution precipitation data is conducive to objectively describe the spatial-temporal variability of regional precipitation,and the study of downscaling techniques and spatial scale effects can provide technical and theoretical support to improve the spatial resolution and accuracy of satellite precipitation data.In this study,we used a machine learning algorithm combined with a regression algorithm RF-PLS(Random Forest-Partial Least Squares)to construct a downscaling model to obtain three types of high-resolution TRMM(Tropical Rainfall Measuring Mission)downscaled precipitation data for the years 2000-2017 at 250 m,500 m,and 1km.The scale effects with topographic and geomorphological features in the study area were analysed.Finally,we described the spatial and temporal variation of precipitation based on the optimal TRMM downscaled precipitation data.The results showed that:1)The linear relationships between the TRMM downscaled precipitation data obtained by each of the three downscaled models(PLS,RF,and RF-PLS)and the precipitation at the observation stations were improved compared to the linear relationships between the original TRMM data and the precipitation at the observation stations.The accuracy of the RF-PLS model was better than the other two models.2)Based on the RF-PLS model,the resolution of the TRMM data was increased to three different scales(250 m,500 m,and 1 km),considering the scale effects with topographic and geomorphological features.The precipitation simulation effect with a spatial resolution of 500 m was better than the other two scales.3)The annual precipitation was the highest in the areas with extremely high mountains,followed by the mediumhigh mountain,high mountain,medium mountain,medium-low mountain,plain,low mountain,and basin.展开更多
Background Small acoustic neuromas seldom result in typical vestibular symptoms, despite the tumor arising from the vestibular nerve. In this study, we have shown that abnormal gait in eleven patients with small acous...Background Small acoustic neuromas seldom result in typical vestibular symptoms, despite the tumor arising from the vestibular nerve. In this study, we have shown that abnormal gait in eleven patients with small acoustic neuroma could be detected in gait analysis by the use of tactile sensor. Patients displayed no oculomotor abnormality and had tumors less than 10 mm from the porus acoustics. Methods Gait related parameters including the coefficients of variations （CV） of stance, swing, double support, area ratio of trajectories of center of force （TCOF）, in addition to the foot pressure difference between both feet, were used for assessment of gait.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.41941017 and 41877522)the National Key Research and Development Program of China(Grant No.2021YFE0116800)Jiangsu Province Key R&D Program(Social Development)Project of China(Grant No.BE2019776)。
文摘High-resolution precipitation data is conducive to objectively describe the spatial-temporal variability of regional precipitation,and the study of downscaling techniques and spatial scale effects can provide technical and theoretical support to improve the spatial resolution and accuracy of satellite precipitation data.In this study,we used a machine learning algorithm combined with a regression algorithm RF-PLS(Random Forest-Partial Least Squares)to construct a downscaling model to obtain three types of high-resolution TRMM(Tropical Rainfall Measuring Mission)downscaled precipitation data for the years 2000-2017 at 250 m,500 m,and 1km.The scale effects with topographic and geomorphological features in the study area were analysed.Finally,we described the spatial and temporal variation of precipitation based on the optimal TRMM downscaled precipitation data.The results showed that:1)The linear relationships between the TRMM downscaled precipitation data obtained by each of the three downscaled models(PLS,RF,and RF-PLS)and the precipitation at the observation stations were improved compared to the linear relationships between the original TRMM data and the precipitation at the observation stations.The accuracy of the RF-PLS model was better than the other two models.2)Based on the RF-PLS model,the resolution of the TRMM data was increased to three different scales(250 m,500 m,and 1 km),considering the scale effects with topographic and geomorphological features.The precipitation simulation effect with a spatial resolution of 500 m was better than the other two scales.3)The annual precipitation was the highest in the areas with extremely high mountains,followed by the mediumhigh mountain,high mountain,medium mountain,medium-low mountain,plain,low mountain,and basin.
基金This work was supported by grants from the National Natural Science Foundation of China （No. 30540080） and Society for the Promotion of International Oto-Rhino-Laryngology （SPIO） of Japan.
文摘Background Small acoustic neuromas seldom result in typical vestibular symptoms, despite the tumor arising from the vestibular nerve. In this study, we have shown that abnormal gait in eleven patients with small acoustic neuroma could be detected in gait analysis by the use of tactile sensor. Patients displayed no oculomotor abnormality and had tumors less than 10 mm from the porus acoustics. Methods Gait related parameters including the coefficients of variations （CV） of stance, swing, double support, area ratio of trajectories of center of force （TCOF）, in addition to the foot pressure difference between both feet, were used for assessment of gait.
