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Search Results: 1 - 10 of 11602 matches for " Jung-Chuan Yen "
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The Augmented Reality Application of Multimedia Technology in Aquatic Organisms Instruction  [PDF]
Chih-Hsiao Tsai, Jung-Chuan Yen
Journal of Software Engineering and Applications (JSEA) , 2014, DOI: 10.4236/jsea.2014.79069
Abstract:

The paper elaborates the features and superiority of applying multimedia technology to aquatic organisms in a Science and Life Technology course. The augmented reality application of multimedia technology in aquatic organisms’ instruction has its own features, teaching information capacity, interactive user interface. The paper concludes the superiority of Unity and Vuforia AR instruction from five perspectives; meanwhile, the paper elaborates its disadvantages. An AR-based instruction attitude questionnaire was conducted at the end of the experiment to obtain learners’ perspectives of the system. Learners in AR approach demonstrate higher motivation and concentrate their attention on the learning tasks. Learners showed more positive attitude in willingness to use the AR-based instruction to improve learning interests. This study provided insights for better understanding the design, theory and practice of e-learning through augmented reality technology.

Drift and Hysteresis Characteristics of Drug Sensors Based on Ruthenium Dioxide Membrane
Yi-Hung Liao,Jung-Chuan Chou
Sensors , 2008, DOI: 10.3390/s8095386
Abstract: The drug sensing properties of procaine and berberine drug sensors based on ruthenium dioxide thin film were investigated. Ruthenium dioxide (RuO2) membrane prepared using a sputtering method was used as substrates for the drug sensors. The procaine and berberine drug sensors were prepared using a drug-sensitive membrane that measured the procaine and berberine concentration in a linear range from 1×10-2 M to 1×10-6 M and from 1×10-2 M to 1×10-7 M, respectively. The drift rates and hyteresis widths of these ruthenium dioxide based drug sensors were also investigated.
Fabrication and Characterization of a Ruthenium Nitride Membrane for Electrochemical pH Sensors
Yi-Hung Liao,Jung-Chuan Chou
Sensors , 2009, DOI: 10.3390/s90402478
Abstract: ThepH sensing and nonideal characteristics of a ruthenium nitride (RuN) sensing membrane pH sensor were investigated. RuN thin films were deposited from a 99.9% ruthenium target on p-type silicon substrates using radio frequency (r.f.) sputtering with N2 gas. Subsequently, the nanometric structure and surface morphology of RuN thin films were determined. The sensitivity of the RuN sensing membrane pH sensor was 58.03 mV/pH, obtained from ID-VG curves with a current-voltage (I-V) measurement system in standard buffer solutions from pH 1 to pH 13 at room temperature (25 °C). Moreover, the nonideal characteristics of the RuN sensing membrane, such as temperature coefficient, drift with light influence, drift rate and hysteresis width, etc. were also investigated. Finally, the sensing characteristics of the RuN membrane were compared with titanium nitride (TiN), aluminum nitride (AlN) and silicon nitride (Si3N4) membranes.
Comparison of pH Data Measured with a pH Sensor Array Using Different Data Fusion Methods
Yi-Hung Liao,Jung-Chuan Chou
Sensors , 2012, DOI: 10.3390/s120912098
Abstract: This paper introduces different data fusion methods which are used for an electrochemical measurement using a sensor array. In this study, we used ruthenium dioxide sensing membrane pH electrodes to form a sensor array. The sensor array was used for detecting the pH values of grape wine, generic cola drink and bottled base water. The measured pH data were used for data fusion methods to increase the reliability of the measured results, and we also compared the fusion results with other different data fusion methods.
Reliability of Measured Data for pH Sensor Arrays with Fault Diagnosis and Data Fusion Based on LabVIEW
Yi-Hung Liao,Jung-Chuan Chou,Chin-Yi Lin
Sensors , 2013, DOI: 10.3390/s131217281
Abstract: Fault diagnosis (FD) and data fusion (DF) technologies implemented in the LabVIEW program were used for a ruthenium dioxide pH sensor array. The purpose of the fault diagnosis and data fusion technologies is to increase the reliability of measured data. Data fusion is a very useful statistical method used for sensor arrays in many fields. Fault diagnosis is used to avoid sensor faults and to measure errors in the electrochemical measurement system, therefore, in this study, we use fault diagnosis to remove any faulty sensors in advance, and then proceed with data fusion in the sensor array. The average, self-adaptive and coefficient of variance data fusion methods are used in this study. The pH electrode is fabricated with ruthenium dioxide (RuO 2) sensing membrane using a sputtering system to deposit it onto a silicon substrate, and eight RuO 2 pH electrodes are fabricated to form a sensor array for this study.
A Novel Synthetic Microtubule Inhibitor, MPT0B214 Exhibits Antitumor Activity in Human Tumor Cells through Mitochondria-Dependent Intrinsic Pathway
Nai-Jung Chiang, Ching-I Lin, Jing-Ping Liou, Ching-Chuan Kuo, Chi-Yen Chang, Li-Tzong Chen, Jang-Yang Chang
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0058953
Abstract: Agents that interfere with mitotic progression by disturbing microtubule dynamics are commonly used for cancer treatment. Previously, a series of aroylquinolone regioisomers as novel microtubule inhibitors were discovered. One of these new compounds, MPT0B214 inhibited tubulin polymerization through strongly binding to the tubulin’s colchicine-binding site and had cytotoxic activity in a variety of human tumor cell lines. After treatment with MPT0B214, KB cells were arrested in the G2-M phase before cell death occurred, which were associated with upregulation of cyclin B1, dephosphorylation of Cdc2, phosphorylation of Cdc25C and elevated expression of the mitotic marker MPM-2. Furthermore, the compound induced apoptotic cell death through mitochondria/caspase 9-dependent pathway. Notably, several KB-derived multidrug-resistant cancer cell lines were also sensitive to MPT0B214 treatment. These findings showed that MPT0B214 is a potential compound in the treatment of various malignancies.
Characterization of Aging-Associated Cardiac Diastolic Dysfunction
Wei-Ting Chang, Jung-San Chen, Yung-Kung Hung, Wei-Chuan Tsai, Jer-Nan Juang, Ping-Yen Liu
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0097455
Abstract: Aims Diastolic dysfunction is common in geriatric heart failure. A reliable parameter to predict myocardium stiffness and relaxation under similar end-diastolic pressure is being developed. We propose a material and mathematical model for calculating myocardium stiffness based on the concept of linear correlation between and wedge pressure. Methods and Results We enrolled 919 patients (male: ). Compared with the younger population of controls (mean age: years; ; male: ), the elderly (mean age: ; ; male: ) had a greater prevalence of hypertension, diabetes mellitus, and coronary artery disease (all ). We collected their M-mode and 2-D echocardiographic volumetric parameters, intraventricular filling pressure, and speckle tracking images to establish a mathematical model. The feasibility of this model was validated. The average early diastolic velocity of the mitral annulus assessed using tissue Doppler imaging was significantly attenuated in the elderly (: vs. ; ) and corresponded to the higher estimated wedge () pressure ( vs. ; ) in that cohort. E (Young's modulus) was calculated to describe the tensile elasticity of the myocardium. With the same intraventricular filling pressure, E was significantly higher in the elderly, especially those with values . Compared with diastolic dysfunction parameters, E also presented sentinel characteristics more sensitive for detecting early myocardial relaxation impairment, which indicates stiffer myocardium in aging hearts. Conclusion Our material and geometric mathematical model successfully described the stiffer myocardium in aging hearts with higher intraventricular pressure. Additional studies that compare individual differences, especially in health status, are needed to validate its application for detecting diastolic heart failure.
A majorization-minimization approach to variable selection using spike and slab priors
Tso-Jung Yen
Statistics , 2010, DOI: 10.1214/11-AOS884
Abstract: We develop a method to carry out MAP estimation for a class of Bayesian regression models in which coefficients are assigned with Gaussian-based spike and slab priors. The objective function in the corresponding optimization problem has a Lagrangian form in that regression coefficients are regularized by a mixture of squared $l_2$ and $l_0$ norms. A tight approximation to the $l_0$ norm using majorization-minimization techniques is derived, and a coordinate descent algorithm in conjunction with a soft-thresholding scheme is used in searching for the optimizer of the approximate objective. Simulation studies show that the proposed method can lead to more accurate variable selection than other benchmark methods. Theoretical results show that under regular conditions, sign consistency can be established, even when the Irrepresentable Condition is violated. Results on posterior model consistency and estimation consistency, and an extension to parameter estimation in the generalized linear models are provided.
Green tea extract supplement reduces D-galactosamine-induced acute liver injury by inhibition of apoptotic and proinflammatory signaling
Bor-Ru Lin, Chia-Jung Yu, Wang-Chuan Chen, Hsuan-Shu Lee, Huei-Min Chang, Yen-Chih Lee, Chiang-Ting Chien, Chau-Fong Chen
Journal of Biomedical Science , 2009, DOI: 10.1186/1423-0127-16-35
Abstract: Acute liver injury (ALI) may cause dismal clinical outcome [1,2], but the detailed pathophysiologic mechanisms and the preventive and therapeutic medications have not been fully elucidated. In all types of liver damage there is consistent evidence of enhanced oxidative stress and/or significant decrease of antioxidant defense [2]. Oxidative stress and inflammation have been reported to contribute to the pathogenesis of alcohol-, CCl4-, thioacetamide- and endotoxin-induced ALI [2-6]. D-galactosamine (D-GalN) treated livers have metabolic and morphological aberrations similar to those observed in human viral hepatitis that always caused peri-portal necro-inflammation [7,8] and hepatocyte apoptosis [9]. Although D-GalN was well-known to induce toxicity by blocking RNA and protein synthesis [7,8], its ability to induce oxidative injury in the liver was still poorly delineated.Reactive oxygen species (ROS) play a crucial role in the induction and in the progression of liver disease. In response to hypoxia/hypoperfusion or toxic injury, a massive ROS production can cause lipid peroxidation of cellular membranes, and protein and DNA oxidation, which results in cellular injury [2,10-14]. The main sources of ROS may derive from the mitochondria of hepatocytes, the activated macrophages (Kupffer cells), and the infiltrating neutrophils [2,11-14]. These ROS can trigger the translocation of nuclear factor-kappa B (NF-κB) and activator protein-1 (AP-1) to nucleus [12] and activation of inflammatory cytokines, chemokines, and adhesion molecules that, in turn, can contribute to further production of ROS [2,6,14] and consecutively activate the cascade of Bax and cytochrome c translocation and caspases (apoptosis) [15]. Various kinds of antioxidants capable of decreasing NF-κB activity, ameliorating mitochondrial dysfunction, cytochrome c release and caspase-3-mediated apoptosis, and decreasing inflammatory cell infiltration [2-5,15-17] have been shown to reduce tissue injury. Recen
Grouped Variable Selection via Nested Spike and Slab Priors
Tso-Jung Yen,Yu-Min Yen
Statistics , 2011,
Abstract: In this paper we study grouped variable selection problems by proposing a specified prior, called the nested spike and slab prior, to model collective behavior of regression coefficients. At the group level, the nested spike and slab prior puts positive mass on the event that the l2-norm of the grouped coefficients is equal to zero. At the individual level, each coefficient is assumed to follow a spike and slab prior. We carry out maximum a posteriori estimation for the model by applying blockwise coordinate descent algorithms to solve an optimization problem involving an approximate objective modified by majorization-minimization techniques. Simulation studies show that the proposed estimator performs relatively well in the situations in which the true and redundant covariates are both covered by the same group. Asymptotic analysis under a frequentist's framework further shows that the l2 estimation error of the proposed estimator can have a better upper bound if the group that covers the true covariates does not cover too many redundant covariates. In addition, given some regular conditions hold, the proposed estimator is asymptotically invariant to group structures, and its model selection consistency can be established without imposing irrepresentable-type conditions.
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