Hong-an Li

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Empirical best linear unbiased prediction (EBLUP) method uses a linear mixed model in combining information from different sources of information. This method is particularly useful in small area problems. The variability of an EBLUP is traditionally measured by the mean squared prediction error (MSPE), and interval estimates are generally constructed using(More)
Soft tissue sarcomas (STSs) are a rare and fascinating group of diseases that can be subdivided into specific reciprocal translocations in STSs (SRTSs) and nonspecific reciprocal translocations in STSs (NRTSs). PTEN mutations are rare in STSs, suggesting that PTEN expression may be lost by alternative mechanisms such as methylation. In order to reveal(More)
It is an important task to locate facial feature points due to the widespread application of 3D human face models in medical fields. In this paper, we propose a 3D facial feature point localization method that combines the relative angle histograms with multiscale constraints. Firstly, the relative angle histogram of each vertex in a 3D point distribution(More)
Feature extraction is a key technology in the process of the 3D model retrieval, and the retrieval result is determined by the quality of the features. This paper structures one function (θ, φ, H) which is used the spatial position (θ, φ) and the mean curvature (H) of the 3D model surface point. Through making harmonic analysis for the function, a group of(More)
AIM CCK is one of the strongest endogenous anti-opioid substances and suppresses morphine tolerance which results from long term use of morphine. This study explores the modulatory effect of CCK on pain formalin-induced. METHODS The effect of formalin-induced pain on CCK immunoreactivity in rat sensory neurons was observed through immunohistochemistry(More)
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