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Search Results: 1 - 10 of 44924 matches for " Tian-Hsiang Huang "
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A Very Fast Algorithm for Matrix Factorization
Vladimir Nikulin,Tian-Hsiang Huang,Shu-Kay Ng,Suren I Rathnayake,Geoffrey J McLachlan
Physics , 2010,
Abstract: We present a very fast algorithm for general matrix factorization of a data matrix for use in the statistical analysis of high-dimensional data via latent factors. Such data are prevalent across many application areas and generate an ever-increasing demand for methods of dimension reduction in order to undertake the statistical analysis of interest. Our algorithm uses a gradient-based approach which can be used with an arbitrary loss function provided the latter is differentiable. The speed and effectiveness of our algorithm for dimension reduction is demonstrated in the context of supervised classification of some real high-dimensional data sets from the bioinformatics literature.
Comparison of transcripts in Phalaenopsis bellina and Phalaenopsis equestris (Orchidaceae) flowers to deduce monoterpene biosynthesis pathway
Yu-Yun Hsiao, Wen-Chieh Tsai, Chang-Sheng Kuoh, Tian-Hsiang Huang, Hei-Chia Wang, Tian-Shung Wu, Yann-Lii Leu, Wen-Huei Chen, Hong-Hwa Chen
BMC Plant Biology , 2006, DOI: 10.1186/1471-2229-6-14
Abstract: The main chemical components in the P. bellina flower were shown by gas chromatography-mass spectrometry to be monoterpenoids, benzenoids and phenylpropanoids. The set of floral scent producing enzymes in the biosynthetic pathway from glyceraldehyde-3-phosphate (G3P) to geraniol and linalool were recognized through data mining of the P. bellina floral EST database (dbEST). Transcripts preferentially expressed in P. bellina were distinguished by comparing the scent floral dbEST to that of a scentless species, P. equestris, and included those encoding lipoxygenase, epimerase, diacylglycerol kinase and geranyl diphosphate synthase. In addition, EST filtering results showed that transcripts encoding signal transduction and Myb transcription factors and methyltransferase, in addition to those for scent biosynthesis, were detected by in silico hybridization of the P. bellina unigene database against those of the scentless species, rice and Arabidopsis. Altogether, we pinpointed 66% of the biosynthetic steps from G3P to geraniol, linalool and their derivatives.This systems biology program combined chemical analysis, genomics and bioinformatics to elucidate the scent biosynthesis pathway and identify the relevant genes. It integrates the forward and reverse genetic approaches to knowledge discovery by which researchers can study non-model plants.Floral scent is a key modulating factor in plant-insect interactions and thus plays a central role in successful pollination. Closely related plant species that rely on different insects for pollination produce different odors [1,2]. The floral scent is of paramount importance to plant reproduction and evolution [3]. Orchidaceae is one of the largest monocotyledon families, containing more than 25,000 species. In orchids, large quantities of pollen are formed in masses spread by animals (bees, moths, flies and birds) and the floral scents serve as attractants for species-specific pollinators [4]. These pollinators have played a majo
Some endomorphisms of the hyperfinite $II_1$ factor
Hsiang-Ping Huang
Mathematics , 2006,
Abstract: For any finite dimensional C*-algebra A with any trace vector {\vec s} whose components are rational numbers, we give an endomorphism {\Phi} of the hyperfinite II_1 factor R such that: forall k in {\mathbb N} {\Phi}^k (R)' \cap R= \otimes^k A The canonical trace {\tau} on R extends the trace vector {\vec s} on A. As a corollary, we construct a one-parameter family of inclusions of hyperfinite II_1 factors N^{\lambda} \subset M^{\lambda} with trivial relative commutant (N^{\lambda})' \cap M^{\lambda}= {\mathbb C} and with the Jones index [M^{\lambda}: N^{\lambda}]= \lambda^{-1} \in (4, \infty) \cap {\mathbb Q} This partially solves the problem of finding all possible values of indices of subfactors with trivial relative commutant in the hyperfinite II_1 factor, by showing that any rational number \lambda^{-1} > 4 can occur.
Some endomorphisms of II_1 factors
Hsiang-Ping Huang
Mathematics , 2005,
Abstract: For any finite dimensional C^*-algebra A, we give an endomorphism \Phi of the hyperfinite II_1 factor R of finite Jones index such that: for all k \in \mathbb {N}, \Phi^k (R)' \cap R= \otimes^k A. The Jones index [R: \Phi (R)]= (rank (A))^2, here rank (A) is the dimension of the maximal abelian subalgebra of A.
Some endomorphisms of II_1 factors: part II
Hsiang-Ping Huang
Mathematics , 2005,
Abstract: For any finite dimensional C^*-algebra A with a trace vector \vec s whose entries are rational numbers, we give an endomorphism \Phi of the hyperfinite II_1 factor R such that: for all k \in \mathbb {N}, \Phi^k (R)' \cap R= \otimes^k A. The canonical trace \tau on R extends the trace vector \vec s on A. Therefore the minimal projection is not necessarily equivalent to each other.
Trypsin-induced proteome alteration during cell subculture in mammalian cells
Hsiang-Ling Huang, Hsiang-Wei Hsing, Tzu-Chia Lai, Yi-Wen Chen, Tian-Ren Lee, Hsin-Tsu Chan, Ping-Chiang Lyu, Chieh-Lin Wu, Ying-Chieh Lu, Szu-Ting Lin, Cheng-Wen Lin, Chih-Ho Lai, Hao-Teng Chang, Hsiu-Chuan Chou, Hong-Lin Chan
Journal of Biomedical Science , 2010, DOI: 10.1186/1423-0127-17-36
Abstract: In this study, a triplicate 2D-DIGE strategy has been performed to monitor trypsin-induced proteome alterations. The differentially expressed spots were identified by MALDI-TOF MS and validated by immunoblotting.36 proteins are found to be differentially expressed in cells treated with trypsin, and proteins that are known to regulate cell metabolism, growth regulation, mitochondrial electron transportation and cell adhesion are down-regulated and proteins that regulate cell apoptosis are up-regulated after trypsin treatment. Further study shows that bcl-2 is down-regulated, p53 and p21 are both up-regulated after trypsinization.In summary, this is the first report that uses the proteomic approach to thoroughly study trypsin-induced cell physiological changes and provides researchers in carrying out their experimental design.Plasma membrane proteins are responsible for a wide variety of functions essential to maintaining normal physiological activities. For example, when EGF receptor families, a group of proteins located in the plasma membrane that act as growth receptors, transmit external signals into the cell interior, cell's physiological activities are often altered in response to external signals. In addition, adhesive proteins, such as the cadherin families [1] in the cell membrane, provide anchors to link cytoskeleton proteins with extracellular matrix to regulate cell migration and cell adhesion. The dysregulations of membrane proteins cause numerous diseases such as during tumorigenesis, malignant transformation of epithelial cells frequently attends with loss of E-cadherin expression and induction of expression of mesenchymal membrane proteins like N-cadherin [2,3]. Moreover, mutations of ErbB-2 receptors lead to the occurrence of gastric cancer [4] and hepatocellular cancer [5].Two-dimensional gel electrophoresis (2-DE) has been widely used for profiling cellular proteins and some of the nonionic and zwitterionic detergents such as thiourea and CHAPS have
Design of Wide Band CMOS VCO with Common Source Transformer Feedback Topology  [PDF]
Meng-Ting Hsu, Ying-Hsiang Huang, Cheng-Chuan Chung
Wireless Engineering and Technology (WET) , 2013, DOI: 10.4236/wet.2013.41004

This paper demonstrates wide-band CMOS VCO based on the transformer feedback from traditional circuit to our proposed work. The start up condition of the traditional cross-coupled pair is expressed by the high frequency model. The wide band technique of this structure is derived with the help of the high frequency model of the transistor. Therefore, the wide band CMOS VCO based on the common source transformer feedback topology can achieves the high performance in the low voltage and low phase noise. The measurement result of the VCO exhibits the figure of merit, core power consumption and output power at supply voltage 0.8 V are –193.1 dBc/Hz, 4.4 mW and 2.3 dBm, respectively. The phase noise is –124.3 dBc/Hz at 1 MHz offset under the operation frequency 5.8 GHz. And the tuning range of the circuit can obtain 28%, this VCO is fabricated in TSMC 0.18 μm 1P6MCMOS process.

Carbohydrate-associated epitope-based anti-cancer drugs and vaccines  [PDF]
Gregory Lee, Cheng-Yuan Huang, Song-Nan Chow, Chin-Hsiang Chien
Advances in Bioscience and Biotechnology (ABB) , 2013, DOI: 10.4236/abb.2013.49A003

RP215 is one of the three thousand monoclonal antibodies (Mabs) which were generated against the OC-3-VGH ovarian cancer cell line. RP215 was shown to react with a carbohydrate-associated epitope located specifically on glycoproteins, known as CA215, from cancer cells. Further molecular analysis by matrix adsorption laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) revealed that CA215 consists mainly of immunoglobulin super-family (IgSF) proteins, including immunoglobulins, T-cell receptors, and cell adhesion molecules, as well as several other unrelated proteins. Peptide mappings and glycoanalysis were performed with CA215 and revealed high-mannose and complex bisecting structures with terminal sialic acid in N-glycans. As many as ten O-glycans, which are structurally similar to those of mucins, were also identified. In addition, two additional O-linked glycans were exclusively detected in cancerous immunoglobulins but not in normal B cell-derived immunoglobulins. Immunizations of mice with purified CA215 resulted in the predominant generation of RP215-related Mabs, indicating the immunodominance of this carbohydrate-associated epitope. Anti-idiotype (anti-id) Mabs of RP215, which were generated in the rat, were shown to contain the internal images of the carbohydrate-associated epitope. Following immunizations of these anti-id Mabs in mice, the resulting anti-anti-id (Ab3) responses in mice were found to be immunologically similar to that of RP215. Judging from these observations, anti-id Mabs, which carry the internal image of the RP215-specific epitope, may be suitable candidates for anticancer vaccine development in humans.

Applying Prim’s Algorithm to Identify Isolated Areas for Natural Disaster Prevention and Protection  [PDF]
Wen-Ching Wang, Ming-Che Hsieh, Chun-Hsiang Huang
Engineering (ENG) , 2018, DOI: 10.4236/eng.2018.107029
Abstract: Based on the principle of “pre-disaster prevention outweighs rescue during disasters”, this study targets areas threatened by natural disasters, and develops an automatic algorithm based on the Prim algorithm to serve as an automatic identification system. In the face of natural disasters that disable key facilities in the region and prevent settlements from contacting the outside world or outsiders from sending rescuers to the settlements, the proposed system helps to identify whether these regions will become isolated areas and conduct disaster mitigation and relief resource allocation before any natural disaster in order to reduce potential disaster losses. An automatic identification system, based on the threshold of channel blocking due to broken roads and bridges, determines through the decision tree model and relevant patterns whether such regions will become isolated areas by identifying areas based on the results of model analysis. The proposed system’s identification results are verified by actual case histories and comparisons; the results can be used to correctly identify isolated areas. Finally, Microsoft Visual Studio C # and Google Map are employed to apply the results and to produce an information mode for the determination and decision support of isolated areas affected by natural disasters.
A stochastic inference of de novo CNV detection and association test in multiplex schizophrenia families
Yung-Hsiang Huang,Chuhsing K. Hsiao
Frontiers in Genetics , 2013, DOI: 10.3389/fgene.2013.00185
Abstract: The copy number variation (CNV) is a type of genetic variation in the genome. It is measured based on signal intensity measures and can be assessed repeatedly to reduce the uncertainty in PCR-based typing. Studies have shown that CNVs may lead to phenotypic variation and modification of disease expression. Various challenges exist, however, in the exploration of CNV-disease association. Here we construct latent variables to infer the discrete CNV values and to estimate the probability of mutations. In addition, we propose to pool rare variants to increase the statistical power and we conduct family studies to mitigate the computational burden in determining the composition of CNVs on each chromosome. To explore in a stochastic sense the association between the collapsing CNV variants and disease status, we utilize a Bayesian hierarchical model incorporating the mutation parameters. This model assigns integers in a probabilistic sense to the quantitatively measured copy numbers, and is able to test simultaneously the association for all variants of interest in a regression framework. This integrative model can account for the uncertainty in copy number assignment and differentiate if the variation was de novo or inherited on the basis of posterior probabilities. For family studies, this model can accommodate the dependence within family members and among repeated CNV data. Moreover, the Mendelian rule can be assumed under this model and yet the genetic variation, including de novo and inherited variation, can still be included and quantified directly for each individual. Finally, simulation studies show that this model has high true positive and low false positive rates in the detection of de novo mutation.
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