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Search Results: 1 - 10 of 81724 matches for " Zheng Yang Chin "
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New Perspectives in Chondrogenic Differentiation of Stem Cells for Cartilage Repair
Wei Seong Toh,Zheng Yang,Boon Chin Heng,Tong Cao
The Scientific World Journal , 2006, DOI: 10.1100/tsw.2006.66
Abstract:
Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b
Kai Keng Ang,Zheng Yang Chin,Cuntai Guan,Haihong Zhang
Frontiers in Neuroscience , 2012, DOI: 10.3389/fnins.2012.00039
Abstract: The Common Spatial Pattern (CSP) algorithm is an effective and popular method for classifying 2-class motor imagery electroencephalogram (EEG) data, but its effectiveness depends on the subject-specific frequency band. This paper presents the Filter Bank Common Spatial Pattern (FBCSP) algorithm to optimize the subject-specific frequency band for CSP on Datasets 2a and 2b of the Brain-Computer Interface (BCI) Competition IV. Dataset 2a comprised 4 classes of 22 channels EEG data from 9 subjects, and Dataset 2b comprised 2 classes of 3 bipolar channels EEG data from 9 subjects. Multi-class extensions to FBCSP are also presented to handle the 4-class EEG data in Dataset 2a, namely, Divide-and-Conquer (DC), Pair-Wise (PW), and One-Versus-Rest (OVR) approaches. Two feature selection algorithms are also presented to select discriminative CSP features on Dataset 2b, namely, the Mutual Information-based Best Individual Feature (MIBIF) algorithm, and the Mutual Information-based Rough Set Reduction (MIRSR) algorithm. The single-trial classification accuracies were presented using 10 × 10-fold cross-validations on the training data and session-to-session transfer on the evaluation data from both datasets. Disclosure of the test data labels after the BCI Competition IV showed that the FBCSP algorithm performed relatively the best among the other submitted algorithms and yielded a mean kappa value of 0.569 and 0.600 across all subjects in Datasets 2a and 2b respectively.
The Application of Optical CDMA-Based Fiber Radio Networks in Wireless Sensor Networks  [PDF]
Chao-Chin YANG
Wireless Sensor Network (WSN) , 2009, DOI: 10.4236/wsn.2009.12010
Abstract: One fiber radio scheme using shifted prime codes for interference elimination is proposed for optical code-division multiple-access (OCDMA) network. By taking advantage of the cyclic property of the shifted prime codes in the same code groups, the proposed compact decoder is low cost and suitable to be used in the task manager node in the applications of wireless sensor networks. The performance comparison for sev-eral OCDMA-based fiber radio networks is also given to clarify the advantage of the proposed one.
Molecular and Cellular Response Profiles Induced by the TLR4 Agonist-Based Adjuvant Glucopyranosyl Lipid A
Stacie L. Lambert, Chin-Fen Yang, Zheng Liu, Rosemary Sweetwood, Jackie Zhao, Lily Cheng, Hong Jin, Jennifer Woo
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0051618
Abstract: Background Toll-like receptor (TLR)4 agonists are known potent immunostimulatory compounds. These compounds can be formulated as part of novel adjuvants to enhance vaccine medicated immune responses. However, the contribution of the formulation to the innate in vivo activity of TLR4 agonist compounds is not well understood. Methodology and Principal Findings We evaluated synthetic TLR4 agonist Glucopyranosyl Lipid A (GLA) for its effects on molecular and cellular innate immune responses in the murine model. Microarray techniques were used to compare the responses to GLA in an aqueous formulation or in an oil-in-water Stable Emulsion formulation (GLA-SE) versus either SE alone or the mineral salt aluminum hydroxide (alum) at the muscle injection site over multiple timepoints. In contrast to the minimal gene upregulation induced by SE and alum, both GLA and GLA-SE triggered MyD88- and TRIF-dependent gene expression. Genes for chemokines, cytokine receptors, signaling molecules, complement, and antigen presentation were also strongly upregulated by GLA and GLA-SE. These included chemokines for TH1-type T cells (CXCL9 and CXCL10) and mononuclear leukocytes (CCL2, CCL3) among others. GLA-SE induced stronger and more sustained gene upregulation than GLA in the muscle; GLA-SE induced genes were also detected in local draining lymph nodes and at lower levels in peripheral blood. Both GLA and GLA-SE resulted in increased cellular trafficking to the draining lymph nodes and upregulated MHC molecules and ICAM1 on local dendritic cells. GLA and GLA-SE transiently upregulated circulating MCP-1, TNFα, IFNγ and IP-10 in blood. Conclusions/Significance While GLA and GLA-SE activate a large number of shared innate genes and proteins, GLA-SE induces a quantitatively and qualitatively stronger response than GLA, SE or alum. The genes and proteins upregulated could be used to facilitate selection of appropriate adjuvant doses in vaccine formulations.
Evaluation and Improvement of Roundabouts in Changchun  [PDF]
Mo Zhou, Lili Yang, Hoong Chor Chin
World Journal of Engineering and Technology (WJET) , 2016, DOI: 10.4236/wjet.2016.43C006
Abstract:
In Changchun, China, roundabouts are fairly common. They are often designed to connect the main roads because of their ability to reduce conflict points, making them safer than other intersections. They can also beautify the city when the central islands are landscaped. However, with increasing traffic, they may not function well and may even paralyze the road network. This means that it is important to evaluate the performance of roundabouts promptly, and to make necessary improvements if required. Using several roundabouts in Changchun as case studies, this article uses V/C ratio and delay to evaluate roundabout performance. Based on the result of evaluation, the micro-simulation model of the poorly-performing roundabout is built and enhancement is proposed.
Epigeneitc silencing of ribosomal RNA genes by Mybbp1a
Bertrand Chin-Ming Tan, Chang-Ching Yang, Chia-Ling Hsieh, Yin-Hsiang Chou, Chang-Zheng Zhong, Benjamin Yat-Ming Yung, Hsuan Liu
Journal of Biomedical Science , 2012, DOI: 10.1186/1423-0127-19-57
Abstract: Here we identify the nucleolar protein Myb-binding protein 1a (Mybbp1a) as a novel negative regulator of rRNA expression. Suppression of rDNA transcription by Mybbp1a was linked to promoter regulation as illustrated by its binding to the chromatin around the hypermethylated, inactive rDNA gene promoters. Our data further showed that downregulation of Mybbp1a abrogated the local DNA methylation levels and histone marks associated with gene silencing, and altered the promoter occupancy of various factors such UBF and HDACs, consequently leading to elevated rRNA expression. Mechanistically, we propose that Mybbp1a maintains rDNA repeats in a silenced state while in association with the negative epigenetic modifiers HDAC1/2.Results from our present work reveal a previously unrecognized co-repressor role of Mybbp1a in rRNA expression. They are further consistent with the scenario that Mybbp1a is an integral constituent of the rDNA epigenetic regulation that underlies the balanced state of rDNA clusters.
The pattern of co-existed posttranslational modifications-A case study  [PDF]
Zheng-Rong Yang
Journal of Biomedical Science and Engineering (JBiSE) , 2009, DOI: 10.4236/jbise.2009.21011
Abstract: Posttranslational modifications are a class of important cellular activities in various bio-chemical processes including signalling trans-duction, gene/metabolite networks, and disease development. It has been found that multiple posttranslational modifications with the same or different modification residues can co-exist in the same protein and this co-occurrence is critical to signalling networks in cells. Although some biological studies have spotted this phe-nomenon, little bioinformatics study has been carried out for understanding its mechanism. Four data sets were downloaded from NCBI for the study. The joint probabilities of any two neighbouring posttranslational modification sites of different modification residues were analyzed. The Bayesian probabilistic network was derived for visualizing the relationship be-tween a target modification and the contributing modifications as the predictive factors.
The Impact of Predation Risk on the Marginal Value of Cash Holdings: An Empirical Perspective  [PDF]
Xinbao Yang, Jiguang Zheng
Journal of Financial Risk Management (JFRM) , 2017, DOI: 10.4236/jfrm.2017.62012
Abstract: As an important external governance mechanism, product market competition has considerable impact on the marginal value of a company’s cash holdings in various aspects. This paper examines the impact of predatory risk on the marginal value of cash holdings in product market by sampling Chinese A-share listed companies from 2000 to 2013. It shows that the predation risk in the product market increases the marginal value of cash holdings by 0.2 Yuan.
An enzyme-centric approach for modelling non-linear biological complexity
Chin-Rang Yang
BMC Systems Biology , 2008, DOI: 10.1186/1752-0509-2-70
Abstract: In this paper, we further demonstrate the application of complex enzyme catalytic and regulatory modules to simulate nonlinear network regulatory patterns vs. simple linear conversion model. We learned and validated that it is essential to incorporate prior knowledge from the literature to simulate non-linear biological complexities. The network expandability is demonstrated and validated with the complex amino acid biosynthetic network with multi-regulations. Also, we demonstrated the compatibility of mechanistic models within close species. Furthermore, the eukaryotic protein factory model for insuring steady mRNA production is simulated and the coupling of RNA transcription and splicing is validated by both mathematical simulation and experimental analysis.We demonstrated the importance of modeling complex enzyme catalytic and regulatory mechanisms to further understand nonlinear network regulatory patterns. The simulations presented in this paper reveal how a living system maintains homeostasis and its robustness to continue functioning while facing environmental stresses or genetic mutations.Remarkable advances in the high throughput technologies enable researchers to broaden their research focuses from a single gene/protein to global gene/protein expression profiles. The daunting challenge is how to turn these overwhelmingly data into real information and gain meaningful insights of how the information is processed in a living system. The goal of Systems Biology is to integrate these high throughput data sets through mathematical models that can computationally simulate the complexity of a biological network, explore the design principles during the evolution of a biological circuit to insure its robustness and thereby generate novel, experimentally testable hypotheses. It is the mission in the post-genomic era to understand how all the parts of cells – genes, proteins, and many other molecules – work in concert to create complex living organisms and analyze h
Frequency Computation of Resonant Signal in Resonant Tunneling Circuit for Communication
Chih Chin Yang
Advances in Mathematical and Computational Methods , 2011, DOI: 10.5729
Abstract: In the proposed model, the equivalent circuit of resonant tunneling structure including anonlinear negative differential resistance element, a series resistance, a junction capacitance, andtwo inductances is explored. The characteristic of negative differential resistance is constructed byusing the relationship of current to voltage curve. As the bias voltage of resonant tunneling structureis increased, the output current density of resonant tunneling structure is decreased. We canunderstand the spontaneous oscillation frequency (fSR) is inversely proportional internal inductance(LQ1). The fSR will be increased, as the internal inductance is decreased. The resistive cutofffrequency (fr) of oscillation will be not the influence of internal inductance (LQ1). When the externalinductance (LQ2) is increased, the self-resonant frequency of oscillation will decrease nonlinearly.The external inductance (LQ2) will increase nonlinearly, as the external inductance (LQ2) is increased.The sum of load resistance (RL) and series resistance (RS) must be less than negative differentialresistance (RN) which the stable phenomena will occur. The current (IS) of resonant differentialstructure will also be the influence of the inductances including load inductance (LL) and externalinductance (LQ2).
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