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| 1 | Synergistic therapy of magnetism-responsive hydrogel for soft tissue injuries显示文摘Soft tissue injury is very common and associated with pain,tissue swelling and even malformation if not treated on time.Treating methods include cryotherapy,electrical therapy,ultrasound therapy and anti-inflammatory drug,but none of them is completely satisfying.In this work,for a better therapeutic effect,drug therapy and pulsed electromagnetic field(PEMF)therapy were combined.We constructed a drug delivery system using the tetra-PEG/agar hydrogel(PA).By incorporating Fe3O4 NPs into the hydrogel network,a magnetism-responsive property was achieved in the system.The cytotoxicity and in vivo study showed a good biocompatibility of the PA/Fe3O4 hydrogel.A magnetism-controlled release was attained by the incorporation of Fe3O4.Finally,in vivo study showed a better performance of the DS-loaded PA/Fe3O4 compared with the commercially available DS ointment regarding the recovery of the injured soft tissue.Therefore,this magnetism-responsive hydrogel may represent a promising alternative to treat soft tissue injury. | Lining Zhang Xiuqin Zuo Shengjie Li Mi Sun Huimin Xie Kai Zhang Jikun Zhou Liyun Che Junxuan Ma Zishan Jia Fei Yang | 2019 | Bioactive Materials2019，4，1： | 7 |
| 2 | Snow depth and snow water equivalent estimation from AMSR-E data based on a priori snow characteristics in Xinjiang, China显示文摘 | Liyun Dai Tao Che Jian Wang Pu Zhang | 2012 | Remote Sensing of Environment2012，，： | 2 |
| 3 | Accuracy assessment of four cloud-free snow cover products over the Qinghai-Tibetan Plateau显示文摘Four up-to-date daily cloud-free snow products–IMS(InteractiveMultisensor Snow products),MOD-SSM/I(combination of the MODIS andSSM/I snow products),MOD-B(Blending method basing on the MODISsnow cover products)and TAI(Terra–Aqua–IMS)–with high-resolutionsover the Qinghai-Tibetan Plateau(QTP)were comprehensively assessed.Comparisons of the IMS,MOD-SSM/I,MOD-B and TAI cloud-free snowproducts against meteorological stations observations over 10 snowseasons(2004–2013)over the QTP indicated overall accuracies of 76.0%,89.3%,92.0%and 92.0%,respectively.The Khat values of the IMS,MODSSM/I,MOD-B and TAI products were 0.084,0.463,0.428 and 0.526,respectively.The TAI products appear to have the best cloud-removalability among the four snow products over the QTP.Based on theassessment,an I-TAI(Improvement of Terra–Aqua–IMS)snow productwas proposed,which can improve the accuracy to some extent.However,the algorithms of the MODIS series products show instabilitywhen identifying wet snow and snow under forest cover over the QTP.The snow misclassification is an important limitation of MODIS snowcover products and requires additional improvements. | Xiaohua Hao Siqiong Luoa Tao Che Jian Wang Hongyi Li Liyun Dai Xiaodong Huang Qisheng Feng | 2019 | International Journal of Digital Earth2019，12，4： | 2 |
| 4 | Snow depth and snow water equivalent estimation from AMSR E data based on a priori snow characteristics in Xiniiang, China 显示文摘 | Dai Liyun Che Tao Wang Jian | 2012 | Remote Sensing of Environment2012，127，： | 1 |
| 5 | Spatial and Temporal Variability of Snow Depth Derived from Passive Microwave Remote Sensing Data in Kazakhstan显示文摘Snow cover plays an important role in the hydrological cycle and water management in Kazakhstan.However, traditional observations do not meet current needs. In this study, a snow depth retrieval equation was developed based on passive microwave remote sensing data. The average snow depth in winter(ASDW),snow cover duration(SCD), monthly maximum snow depth(MMSD), and annual average snow depth(AASD) were derived for each year to monitor the spatial and temporal snow distribution. The SCD exhibited significant spatial variations from 30 to 250 days. The longest SCD was found in the mountainous area in eastern Kazakhstan, reaching values between 200 and 250 days in 2005. The AASD increased from the south to the north and maintained latitudinal zonality. The MMSD in most areas ranged from 20 to30 cm. The ASDW values ranged from 15 to 20 cm in the eastern region and were characterized by spatial regularity of latitudinal zonality. The ASDW in the mountainous area often exceeded 20 cm. | MASHTAYEVA Shamshagul DAI Liyun CHE Tao SAGINTAYEV Zhanay SADVAKASOVA Saltanat KUSSAINOVA Marzhan ALIMBAYEVA Danara AKYNBEKKYZY Meerzhan | 2016 | Journal of Meteorological Research2016，30，6： | 1 |
| 6 | Spatiotemporal distributions and influences on snow density in China from 1999 to 2008显示文摘Ground snow observation data from 1999 to 2008 were used to analyze the temporal and spatial distribution of snow density in China.The monthly maximum density shifted from north to south during the period from October to the following January,and then moved back from south to north during the period from January to April.The maximum snow density occurred at the border between Hunan and Jiangxi provinces in January,where snow cover duration was short and varied remarkably.Snow density in Northeast China and the Xinjiang Uygur Autonomous Region were also high and showed less variation when the snow cover du-ration was long.Ground observation data from nine weather stations were selected to study changes of snow density in Northeast and Northwest China.A phase of stable snow density occurred from the middle ten days of November to the following February;non-stationary density phases were observed from October to the first ten days of November and from March to April.To further investigate the effects of climatic factors on snow density,correlations between snow density and precipitation,air temperature,snow depth and wind velocity for Northeast and Northwest China were analyzed.Correlation analysis showed that snow depth was the primary influence on snow density. | LiYun Dai Tao Che | 2011 | Research in Cold and Arid Regions2011，3，4： | 1 |
| 7 | Snow depth and snow water equivalent estimation from AMSR-E data based on a priori snow characteristics in Xinjiang,China显示文摘 | Dai Liyun Che Tao Wang Jian | 2012 | Remote Sensing of Environment2012，127，： | 1 |
| 8 | Snow depth and snow water equivalent estimation from AMSR-E data based on a priori snow characteristics in Xinjiang, China显示文摘 | Liyun Dai Tao Che Jian Wang Pu Zhang | 2012 | Remote Sensing of Environment2012，，： | 1 |
| 9 | Snow depth and snow water equivalent estimation from AMSR-E data based on a priori snow characteristics in Xinjiang, China显示文摘 | Dai Liyun Che Tao Wang Jian | 2012 | Remote Sensing of Environment2012，127，： | 1 |
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