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American ginseng (Panax quinquefolius) is originally grown in North America. Due to price difference and supply shortage, American ginseng recently has been cultivated in northern China. Further, in the market, some Asian ginsengs are labeled as American ginseng. In this study, forty-three American ginseng samples cultivated in the USA, Canada or China were collected and 14 ginseng saponins were determined...
Pharmaceutical industry develops rapidly in both domestic and international markets as a profitable business. In this paper, the relationship between capital structure and profitability of listed company in the pharmaceutical industry is under discussion. In the context, we select 141 pharmaceutical industry listed companies as the research objects. Through the model and principal component analysis,...
This paper presents an algorithm for video factorization of echocardiograms for qualitative cardiac function classification. Our method uses global video features and is robust to heart shape variation across patients and transducer motion. Unlike related approaches, our method neither requires locating specific structures nor manual intervention. On real-world data, our algorithm achieves 99% recall...
The expected appearance of a human face depends strongly on age, ethnicity and gender. While these relationships are well-studied, our work explores the little-studied dependence of facial appearance on geographic location. To support this effort, we constructed GeoFaces, a large dataset of geotagged face images. We examine the geo-dependence of Eigenfaces and use two supervised methods for extracting...
This paper presents algorithms for biomedical video denoising using real-valued side information. In certain clinical settings, side information correlated to the underlying motion under imaging is available and can be used to infer motion and act as a global constraint for image denoising. Our methods assume the input data are noisy samples that lie on or near an image manifold parameterized by the...
Taking the flood season (from May to October) precipitation in Hainan province as the forecast object, the application of fuzzy neural networks forecasting method with different forecast factors is studied. The results show that the new model based on principal component analysis is significantly superior to the traditional stepwise regression model and other fuzzy neural networks models which select...
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