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BACKGROUND Computed Tomography (CT) is a technology that obtains the tomogram of the observed objects. In real-world applications, especially the biomedical applications, lower radiation dose have been constantly pursued. To shorten scanning time and reduce radiation dose, one can decrease X-ray exposure time at each projection view or decrease the number(More)
In airway and renal epithelia, the glucocorticoid-mediated stimulation of amiloride-sensitive Na+ transport is associated with increased expression of the epithelial Na+ channel alpha subunit (alphaENaC). In H441 lung cells, 100 nM dexamethasone increases amiloride-sensitive short-circuit current (3.3 microA/cm2 to 7.5 microA/cm2), correlating with a 5-fold(More)
Automatic seizure detection plays an important role in long-term epilepsy monitoring, and seizure detection algorithms have been intensively investigated over the years. This paper proposes an algorithm for seizure detection using lacunarity and Bayesian linear discriminant analysis (BLDA) in long-term intracranial EEG. Lacunarity is a measure of(More)
Laboratory information systems (LIMS) are used in life science research to manage complex experiments. Since LIMS systems are often shared by different research groups, powerful access control is needed to allow different access rights to different records of the same table. Traditional access control models that define a permission as the right of a(More)
Staphylococcus aureus drug resistance to antibiotics is a serious situation that has drawn greater attention to immunotherapy and prophylaxis. Peptidoglycan (PGN) is a common and conserved component of the cell wall of Gram-positive bacteria such as S. aureus. However, PGN, as a thymus-independent antigen, cannot be considered a vaccine candidate because of(More)
The feature analysis of epileptic EEG is very significant in diagnosis of epilepsy. This paper introduces two nonlinear features derived from fractal geometry for epileptic EEG analysis. The features of blanket dimension and fractal intercept are extracted to characterize behavior of EEG activities, and then their discriminatory power for ictal and(More)
Excessive tissue iron levels are associated with the increase of oxidative/nitrative stress which contributes to tissue damage that may elevate the risk of diabetes. Therefore, we investigated the effects of iron on diabetes-associated liver injury and whether iron-related tyrosine nitration participated in this process. Rats were randomly divided into four(More)
Diabetic nephropathy is both a common and a severe complication of diabetes mellitus. Iron is an essential trace element. However, excess iron is toxic, playing a role in the pathogenesis of diabetic nephropathy. The present study aimed to determine the extent of the interaction between iron and type 2 diabetes in the kidney. Male rats were randomly(More)
Eukaryotic cells have evolved an intricate system to resolve DNA damage to prevent its transmission to daughter cells. This system, collectively known as the DNA damage response (DDR) network, includes many proteins that detect DNA damage, promote repair, and coordinate progression through the cell cycle. Because defects in this network can lead to cancer,(More)
The automatic identification of epileptic EEG signals is significant in both relieving heavy workload of visual inspection of EEG recordings and treatment of epilepsy. This paper presents a novel method based on the theory of sparse representation to identify epileptic EEGs. At first, the raw EEG epochs are preprocessed via Gaussian low pass filtering and(More)