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The uncontrollable illumination problem is a great challenge for face recognition. In this paper, we propose a novel face recognition framework, the improved principal component regression classification (IPCRC) algorithm, which could overcome the problem of multicollinearity in linear regression. The IPCRC approach first performs principal component(More)
Recent advances in research have found that tumor stem-like cells are resistant to surgery, radiotherapy, and chemotherapy. Tumor stem-like cells play critical roles in tumor recurrence, angiogenesis, and invasion in malignant brain tumors. However, the identification of tumor stem-like cells in meningiomas has not been clarified. In this study, we(More)
Angiogenesis is the hallmark of malignant gliomas positively correlated with the vascular endothelial growth factor (VEGF) expression. We previously reported that expression levels of Nodal, a member of transforming growth factor-β super family, correlate with the malignant invasive behavior of human glioma cells. In this study, we show that knockdown of(More)
To improve the robustness of the linear regression classification (LRC) algorithm, in this paper, we propose a linear discriminant regression classification (LDRC) algorithm to boost the effectiveness of the LRC for face recognition. We embed the Fisher criterion into the LRC as a novel discriminant regression analysis method. The LDRC attempts to maximize(More)
Acute necrotizing encephalopathy of childhood represents a novel entity of acute encephalophathy, predominantly affecting infants and young children living in Taiwan and Japan. It manifests with symptoms of coma, convulsions, and hyperpyrexia after 2 to 4 days of respiratory tract infections in previously healthy children. The hallmark of acute necrotizing(More)
In this letter, we propose a unitary regression classification (URC) algorithm, which could achieve total minimum projection error, to improve the robustness of face recognition. Starting from linear regression classification, the goal of the proposed URC method is to minimize the total within-class projection error of all classes to seek the unitary(More)
Wound healing is a complex biologic process that involves the integration of inflammation, mitosis, angiogenesis, synthesis, and remodeling of the extracellular matrix. However, some wounds fail to heal properly and become chronic. Although some simulated chronic wound models have been established, an efficient approach to treat chronic wounds in animal(More)
High-grade primary brain tumors possessed poor outcome due to invasiveness. Extracellular matrix metalloproteinase inducer (EMMPRIN) stimulates peri-tumoral fibroblasts to secrete matrix metalloproteinase and promote invasiveness. This study hypothesized that high-grade brain tumors overexpress EMMPRIN. Analyzing the public delinked database from the Gene(More)
BACKGROUND Hepatitis C virus (HCV) has been reported to regulate cellular microRNAs. The HCV core protein is considered to be a potential oncoprotein in HCV-related hepatocellular carcinoma, but HCV core-modulated cellular microRNAs are unknown. The HCV core protein regulates p21(Waf1/Cip1) expression. However, the mechanism of HCV core-associated(More)
Inflammation induced by infectious and noninfectious triggers in the kidney may lead to end stage renal disease (ESRD). Toll-like receptor 9 (TLR-9) a receptor for CpG DNA is involved in activation of immune cells in renal disease and may contribute to chronic inflammatory disease progression through an interleukin-6 (IL-6) dependent pathway. Previous(More)