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Taipei, Taiwan

Taipei Medical University in Taiwanis located in Taipei's Xinyi District. Founded as Taipei Medical College in 1960, it was renamed as Taipei Medical University in 2000.The campus is located at Wuxing Street, right behind Taipei Medical University Hospital. The school buildings have classrooms and research labs. There is a gymnasium, conference rooms, sports fields and swimming pool. There are 6,000 students, 418 full-time and 600 part-time faculty members. As of September 2010, there have been more than 31,000 TMU graduates.In 2012, Taipei Medical University was ranked as one of the World's Top 100 universities at which to study medicine, according to the QS World University Rankings. Wikipedia.


Hsu W.-Y.,Taipei Medical University
International Journal of Neural Systems | Year: 2012

We propose an unsupervised recognition system for single-trial classification of motor imagery (MI) electroencephalogram (EEG) data in this study. Competitive Hopfield neural network (CHNN) clustering is used for the discrimination of left and right MI EEG data posterior to selecting active segment and extracting fractal features in multi-scale. First, we use continuous wavelet transform (CWT) and Student's two-sample t-statistics to select the active segment in the time-frequency domain. The multiresolution fractal features are then extracted from wavelet data by means of modified fractal dimension. At last, CHNN clustering is adopted to recognize extracted features. Due to the characteristic of non-supervision, it is proper for CHNN to classify non-stationary EEG signals. The results indicate that CHNN achieves 81.9% in average classification accuracy in comparison with self-organizing map (SOM) and several popular supervised classifiers on six subjects from two data sets. © 2012 World Scientific Publishing Company. Source


Epstein-Barr virus (EBV) is a ubiquitous human herpesvirus infecting over 90% of humans and the infection persists for life. Although most people are asymptomatic, EBV infection may cause a continuous range of symptoms from transient to severe and protracted diseases depending on the immunological response of the individuals. EBV infects primarily B lymphocytes and rarely T and natural killer (NK) cells. It is implicated in around 1% of human tumours with the majority being haematological malignancies including Hodgkin lymphoma, B- and T-cell non-Hodgkin lymphomas, and immunodeficiency-associated lymphoproliferative disorders (LPDs). As it is a ubiquitous virus the confirmation of EBVrelated LPDs depends on the demonstration of the viral DNA by in situ hybridisation for EBV-encoded mRNA (EBER). In current practice, CD3 and EBER positive cytotoxic extranodal lymphomas in non-immunocompromised patients are generally considered as extranodal NK/T-cell lymphoma and accordingly EBER should be performed for such tumours except for the few clinically typical entities such as mycosis fungoides. This review focuses on the application of EBER in the diagnosis of various types of T- and NK/T-cell lymphomas in non-immunocompromised patients and the diagnostic pitfalls, especially their distinction from infectious mononucleosis- related LPD of T- and NK-cell origins and the diagnostic dilemma between various T-cell lymphoma entities with or without EBV association, including nodal cytotoxic EBV positive peripheral T-cell lymphoma. © 2014 Royal College of Pathologists of Australasia. Source


Hsu W.-Y.,Taipei Medical University
Expert Systems with Applications | Year: 2012

In this study, an automatic image segmentation method is proposed for the tumor segmentation from mammogram images by means of improved watershed transform using prior information. The segmented results of individual regions are then applied to perform a loss and lossless compression for the storage efficiency according to the importance of region data. These are mainly performed in two procedures, including region segmentation and region compression. In the first procedure, the canny edge detector is used to detect the edge between the background and breast. An improved watershed transform based on intrinsic prior information is then adopted to extract tumor boundary. Finally, the mammograms are segmented into tumor, breast without tumor and background. In the second procedure, vector quantization (VQ) with competitive Hopfield neural network (CHNN) is applied on the three regions with different compression rates according to the importance of region data so as to simultaneously reserve important tumor features and reduce the size of mammograms for storage efficiency. Experimental results show that the proposed method gives promising results in the compression applications. © 2011 Elsevier Ltd. All rights reserved. Source


Hsu W.-Y.,Taipei Medical University
Expert Systems with Applications | Year: 2012

An electroencephalogram (EEG) analysis system for single-trial classification of motor imagery (MI) data is proposed in this study. Unsupervised fuzzy Hopfield neural network (FHNN) clustering, together with active segment selection and multiresolution fractal features, is used in the classification of left and right MI data. Active segment selection is used to obtain the active segment in the time-scale domain with the continuous wavelet transform (CWT) and Student's two-sample t-statistics. The multiresolution fractal features are then extracted from the discrete wavelet transform (DWT) data by using the modified fractal dimension. Finally, FHNN clustering is used as the discriminant of multiresolution fractal features. FHNN clustering is capable of making flexible partitions of a finite data set, and it is an unsupervised and robust approach suitable for the classification of non-stationary biomedical signals. Compared with several popular supervised classifiers, FHNN clustering achieves promising results in classification accuracy. © 2011 Elsevier Ltd. All rights reserved. Source


There are close links among hyperglycaemia, oxidative stress and diabetic complications. Glutamine (GLN) is an amino acid with immunomodulatory properties. The present study investigated the effect of dietary GLN on oxidative stress-relative gene expressions and tissue oxidative damage in diabetes. There were one normal control (NC) and two diabetic groups in the present study. Diabetes was induced by an intraperitoneal injection of nicotinamide followed by streptozotocin (STZ). Rats in the NC group were fed a regular chow diet. In the two diabetic groups, one group (diabetes mellitus, DM) was fed a common semi-purified diet while the other group received a diet in which part of the casein was replaced by GLN (DM-GLN). GLN provided 25% of total amino acid N. The experimental groups were fed the respective diets for 8 weeks, and then the rats were killed for further analysis. The results showed that blood thioredoxin-interacting protein (Txnip) mRNA expression in the diabetic groups was higher than that in the NC group. Compared with the DM group, the DM-GLN group had lower glutamine fructose-6-phosphate transaminase 1, a receptor of advanced glycation end products, and Txnip gene expressions in blood mononuclear cells. The total antioxidant capacity was lower and antioxidant enzyme activities were altered by the diabetic condition. GLN supplementation increased antioxidant capacity and normalised antioxidant enzyme activities. Also, the renal nitrotyrosine level and Txnip mRNA expression were lower when GLN was administered. These results suggest that dietary GLN supplementation decreases oxidative stress-related gene expression, increases the antioxidant potential and may consequently attenuate renal oxidative damage in rats with STZ-induced diabetes. Source

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