ABSTRACT
A total of 18% of global breast cancer (BC) deaths are attributed to BC in China, making it one of the five most common cancers there. There has been a steady rise in BC morbidity and mortality in women in the last few years and it is now a leading cancer among Chinese women. Conventional treatments for BC are currently effective but have several limitations and disadvantages, and Traditional Chinese medicine (TCM) plays a vital role in the overall process of cancer prevention and therapy. It is known that TCM can treat a variety of conditions at a variety of sites and targets. In recent years, increasingly, research has been conducted on TCM's ability to treat BC. TCM has shown positive results in the treatment of breast cancer and the adverse effects of radiotherapy and chemotherapy. This review describes the progress of clinical observation and mechanism research of TCM in the treatment of breast cancer in recent years. It provides some ideas and theoretical basis for the treatment of BC with TCM.
ABSTRACT
Carbon density is one of the important indicators for carbon sequestration capacity in forest ecosystems. The analysis of spatial variation in forest carbon density can provide scientific basis for management of forest carbon sink. We investigated the carbon density of Pinus massoniana forest in Jiangxi Province. Based on plot investigation and meaurement of sample carbon content, the spatial autocorrelation and distribution of carbon density were analyzed and explored respectively by using global Moran I, local Moran I and geostatistics. Results from the global Moran I showed that ecosystem carbon density had significant positive spatial autocorrelation and its autocorrelation decreased with the increase of distance. Ecosystem carbon density had no spatial autocorrelation when the distance exceeded 400 km. The spatial distribution of ecosystem carbon density changed from aggregated distribution to random distribution with the increase of distance. Results from the local Moran I showed that the local spatial distribution of ecosystem carbon density was not uniform, and the difference of local spatial distribution gradually increased with the increase of distance. The fitting results of semi-variogram models showed that the spherical model was the best fitting model for the estimation of ecosystem carbon density. The ratio of nugget to sill was 0.36, indicating mode-rate spatial correlation of carbon density. The ecosystem carbon density based on kriging spatial interpolation mainly concentrated in the range of 85.14-153.52 t·hm-2. The spatial distribution regularity was generally low in middle region and high in peripheral region, which was consistent with the terrain characteristics of the study area.
Subject(s)
Carbon/analysis , Environmental Monitoring , Forests , Pinus/chemistry , China , Ecosystem , Soil , TreesABSTRACT
The carbon dots (CDs) was prepared by a facile hydrothermal treatment of citric acid and glycine at 180 °C. The CDs at around 3.2 nm was collected after filtration and dialysis. The sample displayed green fluorescence (G-CDs) with a quantum yield of 3.7% in high concentration and the strongest emission peak was at 545 nm under the excitation wavelength of 480 nm; the blue fluorescence CDs (B-CDs) with a quantum yield of 29.8% was obtained after diluted either in solution or in powder, the strongest emission peak was located at 475 nm under the excitation wavelength of 380 nm. The G-CDs possessed a high selectivity to Fe3+, which was in a linear range of 0-3.5 µM with the detection limit of 0.21 µM. The CDs powder with blue fluorescence at a relative low content was obtained and adaptable for the fingerprint detection on substrates of litmus paper, resin tabletop, glass, and orange plastic ruler.
