Photodynamic therapy(PDT)of cancer is a two-step drug device combination modality,which involves the topical or systemie administration of a photosensitizer followed by light ilumnination of cancer site.In the presenc...Photodynamic therapy(PDT)of cancer is a two-step drug device combination modality,which involves the topical or systemie administration of a photosensitizer followed by light ilumnination of cancer site.In the presence of oxygen molecules,the light illmnination of photosensitizer(PS)can lead to the generation of cytotoxic reactive oxygen species(ROS)and consequently destroy cancer.Similar to many other anticancer therapies,PDT is also subject to intrinsic cancer resistance mediated by mutidrug resistance(MDR)mechanisms.This paper will review the recent progress in understanding the interaction between MDR transporters and PS uptalke.The strategies that can be used in a clinical setting to owercome or bypass MDR will also be discussed.展开更多
Accurate estimation of rice phenology is of critical importance for agricultural practices and studies. However, the accuracy of phenological parameters extracted by remote sensing data cannot be guaranteed because of...Accurate estimation of rice phenology is of critical importance for agricultural practices and studies. However, the accuracy of phenological parameters extracted by remote sensing data cannot be guaranteed because of the influence of climate, e.g. the monsoon season, and limited available remote sensing data. In this study, we integrate the data of H J-1 CCD and Landsat-8 operational land imager （OLI） by using the ordinary least-squares （OLS） and construct higher temporal resolution vegetation indices （VIs） time-series data to extract the phenological param- eters of single-cropped rice. Two widely used VIs, namely the normalized difference vegetation index （NDVI） and 2-band enhanced vegetation index （EVI2）, were adopted to minimize the influence of environmental factors and the intrinsic difference between the two sensors. Savitzky-Golay （S-G） filters were applied to construct continuous VI profiles per pixel. The results showed that, compared with NDVI, EVI2 was more stable and comparable between the two sensors. Compared with the observed phenological data of the single-cropped rice, the integrated VI time-series had a relatively low root mean square error （RMSE）, and EVI2 showed higher accuracy compared with NDVI. We also demonstrate the application of phenology extraction of the single-cropped rice in a spatial scale in the study area. While the work is of general value, it can also be extrapolated to other regions where qualified remote sensing data are the bottleneck but where complementary data are occasionally available.展开更多
文摘Photodynamic therapy(PDT)of cancer is a two-step drug device combination modality,which involves the topical or systemie administration of a photosensitizer followed by light ilumnination of cancer site.In the presence of oxygen molecules,the light illmnination of photosensitizer(PS)can lead to the generation of cytotoxic reactive oxygen species(ROS)and consequently destroy cancer.Similar to many other anticancer therapies,PDT is also subject to intrinsic cancer resistance mediated by mutidrug resistance(MDR)mechanisms.This paper will review the recent progress in understanding the interaction between MDR transporters and PS uptalke.The strategies that can be used in a clinical setting to owercome or bypass MDR will also be discussed.
基金supported by the National High-Tech R&D Program(863)of China(No.2012AA12A30703)the Fundamental Research Funds for the Central Universities,China
文摘Accurate estimation of rice phenology is of critical importance for agricultural practices and studies. However, the accuracy of phenological parameters extracted by remote sensing data cannot be guaranteed because of the influence of climate, e.g. the monsoon season, and limited available remote sensing data. In this study, we integrate the data of H J-1 CCD and Landsat-8 operational land imager （OLI） by using the ordinary least-squares （OLS） and construct higher temporal resolution vegetation indices （VIs） time-series data to extract the phenological param- eters of single-cropped rice. Two widely used VIs, namely the normalized difference vegetation index （NDVI） and 2-band enhanced vegetation index （EVI2）, were adopted to minimize the influence of environmental factors and the intrinsic difference between the two sensors. Savitzky-Golay （S-G） filters were applied to construct continuous VI profiles per pixel. The results showed that, compared with NDVI, EVI2 was more stable and comparable between the two sensors. Compared with the observed phenological data of the single-cropped rice, the integrated VI time-series had a relatively low root mean square error （RMSE）, and EVI2 showed higher accuracy compared with NDVI. We also demonstrate the application of phenology extraction of the single-cropped rice in a spatial scale in the study area. While the work is of general value, it can also be extrapolated to other regions where qualified remote sensing data are the bottleneck but where complementary data are occasionally available.
