Showing papers by "National Chung Hsing University published in 2007"

Improved broadband and quasi-omnidirectional anti-reflection properties with biomimetic silicon nanostructures

Abstract: Nature routinely produces nanostructured surfaces with useful properties, such as the self-cleaning lotus leaf, the colour of the butterfly wing, the photoreceptor in brittlestar and the anti-reflection observed in the moth eye. Scientists and engineers have been able to mimic some of these natural structures in the laboratory and in real-world applications. Here, we report a simple aperiodic array of silicon nanotips on a 6-inch wafer with a sub-wavelength structure that can suppress the reflection of light at a range of wavelengths from the ultraviolet, through the visible part of the spectrum, to the terahertz region. Reflection is suppressed for a wide range of angles of incidence and for both s- and p-polarized light. The antireflection properties of the silicon result from changes in the refractive index caused by variations in the height of the silicon nanotips, and can be simulated with models that have been used to explain the low reflection from moth eyes. The improved anti-reflection properties of the surfaces could have applications in renewable energy and electro-optical devices for the military.

A five-gene signature and clinical outcome in non-small-cell lung cancer.

Abstract: BACKGROUND Current staging methods are inadequate for predicting the outcome of treatment of non-small-cell lung cancer (NSCLC). We developed a five-gene signature that is closely associated with survival of patients with NSCLC. METHODS We used computer-generated random numbers to assign 185 frozen specimens for microarray analysis, real-time reverse-transcriptase polymerase chain reaction (RT-PCR) analysis, or both. We studied gene expression in frozen specimens of lung-cancer tissue from 125 randomly selected patients who had undergone surgical resection of NSCLC and evaluated the association between the level of expression and survival. We used risk scores and decision-tree analysis to develop a gene-expression model for the prediction of the outcome of treatment of NSCLC. For validation, we used randomly assigned specimens from 60 other patients. RESULTS Sixteen genes that correlated with survival among patients with NSCLC were identified by analyzing microarray data and risk scores. We selected five genes (DUSP6, MMD, STAT1, ERBB3, and LCK) for RT-PCR and decision-tree analysis. The five-gene signature was an independent predictor of relapse-free and overall survival. We validated the model with data from an independent cohort of 60 patients with NSCLC and with a set of published microarray data from 86 patients with NSCLC. CONCLUSIONS Our five-gene signature is closely associated with relapse-free and overall survival among patients with NSCLC.

A five-gene signature and clinical outcome in non-small-cell lung cancer

Abstract: BACKGROUND Current staging methods are inadequate for predicting the outcome of treatment of non-small-cell lung cancer (NSCLC). We developed a five-gene signature that is closely associated with survival of patients with NSCLC. METHODS We used computer-generated random numbers to assign 185 frozen specimens for microarray analysis, real-time reverse-transcriptase polymerase chain reaction (RT-PCR) analysis, or both. We studied gene expression in frozen specimens of lung-cancer tissue from 125 randomly selected patients who had undergone surgical resection of NSCLC and evaluated the association between the level of expression and survival. We used risk scores and decision-tree analysis to develop a gene-expression model for the prediction of the outcome of treatment of NSCLC. For validation, we used randomly assigned specimens from 60 other patients. RESULTS Sixteen genes that correlated with survival among patients with NSCLC were identified by analyzing microarray data and risk scores. We selected five genes (DUSP6, MMD, STAT1, ERBB3, and LCK) for RT-PCR and decision-tree analysis. The five-gene signature was an independent predictor of relapse-free and overall survival. We validated the model with data from an independent cohort of 60 patients with NSCLC and with a set of published microarray data from 86 patients with NSCLC. CONCLUSIONS Our five-gene signature is closely associated with relapse-free and overall survival among patients with NSCLC.

New insights into fish ion regulation and mitochondrion-rich cells

Abstract: Compared to terrestrial animals, fish have to cope with more-challenging osmotic and ionic gradients from aquatic environments with diverse salinities, ion compositions, and pH values. Gills, a unique and highly studied organ in research on fish osmoregulation and ionoregulation, provide an excellent model to study the regulatory mechanisms of ion transport. The present review introduces and discusses some recent advances in relevant issues of teleost gill ion transport and functions of gill ionocytes. Based on accumulating evidence, a conclusive model of NaCl secretion in gills of euryhaline teleosts has been established. Interpretations of results of studies on freshwater fish gill Na+/Cl- uptake mechanisms are still being debated compared with those for NaCl secretion. Current models for Na+/Cl- uptake are proposed based on studies in traditionally used model species. Many reported inconsistencies are claimed to be due to differences among species, various experimental designs, or acclimation conditions. Having the benefit of advanced techniques in molecular/cellular biology, functional genomics, and model animals, several new notions have recently been raised concerning relevant issues of Na+/Cl- uptake pathways. Several new windows have been opened particularly in terms of molecular mechanisms of ionocyte differentiation and energy metabolite transport between gill cells during environmental challenge.

Specific plant terpenoids and lignoids possess potent antiviral activities against severe acute respiratory syndrome coronavirus.

Abstract: In this study, 221 phytocompounds were evaluated for activity against anti-severe acute respiratory syndrome associated coronavirus (SARS-CoV) activities using a cell-based assay measuring SARS-CoV-induced cytopathogenic effect on Vero E6 cells. Ten diterpenoids (1-10), two sesquiterpenoids (11 and 12), two triterpenoids (13 and 14), five lignoids (15-19), curcumin (20), and reference controls niclosamide (21) and valinomycin (22) were potent inhibitors at concentrations between 3.3 and 10 microM. The concentrations of the 22 compounds to inhibit 50% of Vero E6 cell proliferation (CC50) and viral replication (EC50) were measured. The selective index values (SI = CC50/EC50) of the most potent compounds 1, 5, 6, 8, 14, and 16 were 58, >510, 111, 193, 180, and >667, respectively. Betulinic acid (13) and savinin (16) were competitive inhibitors of SARS-CoV 3CL protease with Ki values = 8.2 +/- 0.7 and 9.1 +/- 2.4 microM, respectively. Our findings suggest that specific abietane-type diterpenoids and lignoids exhibit strong anti-SARS-CoV effects.

Enzymatic Approach to Biodiesel Production

Abstract: The need for alternative energy sources that combine environmental friendliness with biodegradability, low toxicity, renewability, and less dependence on petroleum products has never been greater. One such energy source is referred to as biodiesel. This can be produced from vegetable oils, animal fats, microalgal oils, waste products of vegetable oil refinery or animal rendering, and used frying oils. Chemically, they are known as monoalkyl esters of fatty acids. The conventional method for producing biodiesel involves acid and base catalysts to form fatty acid alkyl esters. Downstream processing costs and environmental problems associated with biodiesel production and byproducts recovery have led to the search for alternative production methods and alternative substrates. Enzymatic reactions involving lipases can be an excellent alternative to produce biodiesel through a process commonly referred to alcoholysis, a form of transesterification reaction, or through an interesterification (ester interchange) reaction. Protein engineering can be useful in improving the catalytic efficiency of lipases as biocatalysts for biodiesel production. The use of recombinant DNA technology to produce large quantities of lipases, and the use of immobilized lipases and immobilized whole cells, may lower the overall cost, while presenting less downstream processing problems, to biodiesel production. In addition, the enzymatic approach is environmentally friendly, considered a "green reaction", and needs to be explored for industrial production of biodiesel.

The development of regulations for food nanotechnology

Abstract: The present study is to give a preliminary discussion on the potential applications, risks, food safety, and current regulatory situation of nanotechnology in relation to foods, thus to provide the industry, legislators, and government with some points, rather than a roadmap, that will need to be addressed as regulation for food nanotechnology moves forward. From the food industry and public safety standpoints, some recent food applications of nanotechnology, safety and risk problems of nanomaterials, routes for nanoparticles entering the body, existing regulations of nanotechnology in several countries, and a certification system of nanoproducts are discussed.

Anthocyanins induce the activation of phase II enzymes through the antioxidant response element pathway against oxidative stress-induced apoptosis.

Abstract: Reactive oxygen species (ROS)-induced cell damage is inevitable and severe and is involved in numerous diseases, including cancer. Reducing oxidative stress is one of the strategies of chemoprevention. Anthocyanins are naturally occurring flavonoids that show multiple benefits. We first pointed out the effects of anthocyanins in the contributions to activation of phase II antioxidant and detoxifying enzymes, chemopreventive potency, and involved transcriptional regulation. Our results obtained in rat liver Clone 9 cells showed that treatment of anthocyanins leads to positive effects on elevating the antioxidant capacity, including activated expression of glutathione-related enzymes (glutathione reductase, glutathione peroxidase, and glutathione S-transferase) and recruited GSH content. In addition, the activity of NAD(P)H: quinone oxidoreductase (NQO1) was also promoted under the treatment of anthocyanin. This influential functions as the defense system against programmed cell death induced by H2O2. The c...

Entrepreneurial Leadership and New Ventures: Creativity in Entrepreneurial Teams

Abstract: This study tests the view that new venture's innovative capability is influenced by the interaction of a lead entrepreneur's leadership and his or her entrepreneurial team members' creativity, as measured by the creation of patents. Focusing on 112 entrepreneurial teams in Taiwan's high-tech new ventures, the findings suggest that lead entrepreneurs who are risk-taking, pro-active and innovative can stimulate their entrepreneurial team members' creativity. Moreover, new venture's innovative capability can be improved by the joint contribution of higher entrepreneurial leadership and more creativity in entrepreneurial teams. The findings also imply that the contingent impact of creativity in teams on the leadership–innovation relationship needs to be considered.

A Pseudomonas syringae pv. tomato DC3000 mutant lacking the type III effector HopQ1‐1 is able to cause disease in the model plant Nicotiana benthamiana

Abstract: The model pathogen Pseudomonas syringae pv. tomato DC3000 causes bacterial speck in tomato and Arabidopsis, but Nicotiana benthamiana, an important model plant, is considered to be a non-host. Strain DC3000 injects approximately 28 effector proteins into plant cells via the type III secretion system (T3SS). These proteins were individually delivered into N. benthamiana leaf cells via T3SS-proficient Pseudomonas fluorescens, and eight, including HopQ1-1, showed some capacity to cause cell death in this test. Four gene clusters encoding 13 effectors were deleted from DC3000: cluster II (hopH1, hopC1), IV (hopD1, hopQ1-1, hopR1), IX (hopAA1-2, hopV1, hopAO1, hopG1), and native plasmid pDC3000A (hopAM1-2, hopX1, hopO1-1, hopT1-1). DC3000 mutants deleted for cluster IV or just hopQ1-1 acquired the ability to grow to high levels and produce bacterial speck lesions in N. benthamiana. HopQ1-1 showed other hallmarks of an avirulence determinant in N. benthamiana: expression in the tobacco wildfire pathogen P. syringae pv. tabaci 11528 rendered this strain avirulent in N. benthamiana, and elicitation of the hypersensitive response in N. benthamiana by HopQ1-1 was dependent on SGT1. DC3000 polymutants involving other effector gene clusters in a hopQ1-1-deficient background revealed that clusters II and IX contributed to the severity of lesion symptoms in N. benthamiana, as well as in Arabidopsis and tomato. The results support the hypothesis that the host ranges of P. syringae pathovars are limited by the complex interactions of effector repertoires with plant anti-effector surveillance systems, and they demonstrate that N. benthamiana can be a useful model host for DC3000.

A fuzzy set approach for R&D portfolio selection using a real options valuation model

Abstract: Making R&D portfolio decision is difficult, because long lead times of R&D and market and technology dynamics lead to unavailable and unreliable collected data for portfolio management. The objective of this research is to develop a fuzzy R&D portfolio selection model to hedge against the R&D uncertainty. Fuzzy set theory is applied to model uncertain and flexible project information. Since traditional project valuation methods often underestimate the risky project, a fuzzy compound-options model is used to evaluate the value of each R&D project. The R&D portfolio selection problem is formulated as a fuzzy zero–one integer programming model that can handle both uncertain and flexible parameters to determine the optimal project portfolio. A new transformation method based on qualitative possibility theory is developed to convert the fuzzy portfolio selection model into a crisp mathematical model from the risk-averse perspective. The transformed model can be solved by an optimization technique. An example is used to illustrate the proposed approach. We conclude that the proposed approach can assist decision makers in selecting suitable R&D portfolios, while there is a lack of reliable project information.

Effect of gallic acid on high fat diet-induced dyslipidaemia, hepatosteatosis and oxidative stress in rats.

Abstract: Gallic acid (GA) is a naturally abundant plant phenolic compound in the human diet and is known to reduce the risk of disease. In this study, the anti-obesity effect of GA in an animal model of diet-induced obesity was investigated. Obesity was induced in male Wistar rats by feeding them a high-fat diet (HFD). GA was given as a supplement at the levels of 50 and 100mg/kg rat for a period of 10 weeks. The results showed that the body weight, organ weight of the liver and adipose tissue weights of peritoneal and epididymal tissues in the HFD + GA groups were significantly decreased as compared with the HFD group. Serum TAG, phospholipid, total cholesterol, LDL-cholesterol, insulin and leptin levels in the HFD + GA groups were significantly decreased as compared with the HFD group. Histological study showed that the lipid droplets of rats with HFD + GA diets were significantly smaller than those with HFD diets. Hepatic TAG and cholesterol levels in HFD + GA groups were significantly decreased as compared with the HFD group. Moreover, the consumption of GA reduced oxidative stress and GSSG content and enhanced the levels of glutathione, GSH peroxidase, GSH reductase and GSH S-transferase in the hepatic tissue of rats with HFD-induced obesity. These results demonstrate that intake of GA can be beneficial for the suppression of HFD-induced dyslipidaemia, hepatosteatosis and oxidative stress in rats.

Effects of flavonoids and phenolic acids on the inhibition of adipogenesis in 3T3-L1 adipocytes.

Abstract: Obesity has become a global epidemic in both developed and developing countries, and it is a significant risk factor for various diseases such as diabetes, cancer, heart disease, and hypertension. In the present study, the effect of naturally occurring antioxidants (flavonoids and phenolic acids) on the inhibition of adipogenesis in 3T3-L1 adipocytes was investigated. The results showed that o-coumaric acid and rutin had the highest inhibition on intracellular triglyceride (61.3 and 83.0%, respectively) among 15 phenolic acids and 6 flavonoids tested. However, the oil red o stained material (OROSM) showed that cell number in 3T3-L1 adipocytes was not influenced by those compounds. For glycerol-3-phosphate dehydrogenase (GPDH) activity, the data indicated that o-coumaric acid and rutin had the highest inhibition on GPDH activity (54.2 and 66.8%, respectively) among the compounds tested. o-Coumaric acid and rutin also inhibited the expression of PPARγ, C/EBPα and leptin and then up-regulated expression of a...

Exploring organizational culture for information security management

Abstract: Purpose – This paper aims to examine the influence of organization culture on the effectiveness of implementing information security management (ISM).Design/methodology/approach – Based on a literature review, a model of the relationship between organizational culture and ISM was formulated, and both organizational culture characteristics and ISM effectiveness were measured empirically to investigate how various organizational culture traits influenced ISM principles, by administrating questionnaires to respondents in organizations with significant use of information systems.Findings – Four regression models were derived to quantify the impacts of organizational culture traits on the effectiveness of implementing ISM. Whilst the control‐oriented organizational culture traits, effectiveness and consistency, have strong effect on the ISM principles of confidentiality, integrity, availability and accountability, the flexibility‐oriented organizational culture traits, cooperativeness and innovativeness, are n...

Adaptive Neural Network Control of a Self-balancing Two-wheeled Scooter

Abstract: This paper presents an adaptive control using radial-basis-function neural networks (RBFNNs) for a two-wheeled self-balancing scooter. A mechatronic system structure of the scooter driven by two dc motors is briefly described, and its mathematical modeling incorporating two frictions between the wheels and the motion surface is derived. By decomposing the overall system into two subsystems (yaw motion and mobile inverted pendulum), one proposes two adaptive controllers using RBFNN to achieve self-balancing and yaw control. The performance and merit of the proposed adaptive controllers are exemplified by conducting several simulations and experiments on a two-wheeled self-balancing scooter.

A Novel High-Speed and Energy Efficient 10-Transistor Full Adder Design

Abstract: In this paper, we propose a novel full adder design using as few as ten transistors per bit. Compared with other low-gate-count full adder designs using pass transistor logic, the proposed design features lower operating voltage, higher computing speed and lower energy (power delay product) operation. The design adopts inverter buffered xor/xnor designs to alleviate the threshold voltage loss problem commonly encountered in pass transistor logic design. This problem usually prevents the full adder design from operating in low supply voltage or cascading directly without extra buffering. The proposed design successfully embeds the buffering circuit in the full adder design and the transistor count is minimized. The improved buffering helps the design operate under lower supply voltage compared with existing works. It also enhances the speed performance of the cascaded operation significantly while maintaining the performance edge in energy consumption. For performance comparison, both dc andperformances of the proposed design against various full adder designs are evaluated via extensive HSPICE simulations. The simulation results, based on TSMC 2P4M 0.35-mum process models, indicate that the proposed design has the lowest working Vdd and highest working frequency among all designs using ten transistors. It also features the lowest energy consumption per addition among these designs. In addition, the performance edge of the proposed design in both speed and energy consumption becomes even more significant as the word length of the adder increases