Xia Mao

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In this contribution, we introduce a novel approach to combine acoustic information and emotional point information for a robust automatic recognition of a speaker’s emotion. Six discrete emotional states are recognized in the work. Firstly, a multi-level model for emotion recognition by acoustic features is presented. The derived features are selected by(More)
Steroid-induced osteonecrosis of the femoral head (steroid-induced ONFH) presents great challenges due to the various effects of steroids on multi-system pathways involved into osteoblast differentiation, osteoblast and osteoclast apoptosis, lipid metabolism, calcium metabolism and coagulation. As one of the most frequently used herbs in Traditional Chinese(More)
Eye movement plays an important role in face to face communication in that it conveys nonverbal information and emotional intent beyond speech. Being “a window to the mind”, the eye and its behavior are tightly coupled with human cognitive processes. In this paper, we proposed an Emotional Eye Movement Markup Language (EEMML) which is an emotional eye(More)
Illumination normalization of face image for face recognition and facial expression recognition is one of the most frequent and difficult problems in image processing. In order to obtain a face image with normal illumination, our method firstly divides the input face image into sixteen local regions and calculates the edge level percentage in each of them.(More)
The reversion-inducing cysteine-rich protein with Kazal motifs (RECK) gene was originally identified as a transformation suppressor gene that is widely expressed in normal tissues. In tumor tissues, RECK expression levels are significantly reduced, and the downregulation of RECK has been implicated in tumors that are more aggressive with a poor prognosis.(More)
Guizhi-Shaoyao-Zhimu decoction (GSZD) has been extensively used for rheumatoid arthritis (RA) therapy. Marked therapeutic efficacy of GSZD acting on RA has been demonstrated in several long-term clinical trials without any significant side effects. However, its pharmacological mechanisms remain unclear due to a lack of appropriate scientific methodology.(More)
Motion trajectory recognition is important for characterizing the moving property of an object. The speed and accuracy of trajectory recognition rely on a compact and discriminative feature representation, and the situations of varying rotation, scaling, and translation have to be specially considered. In this paper, we propose a novel feature extraction(More)
Traditional Chinese medicine (TCM) syndromes have been regarded as the crucial clinical manifestations for individualized diagnosis and treatment of complex diseases, including rheumatoid arthritis (RA) and cancer. Especially, RA patients are classified into cold and hot syndromes with different clinical manifestations, interventions and molecular(More)
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