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Search Results: 1 - 10 of 139305 matches for " San-Yuan Wang "
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Metabolomic Analysis of Complex Chinese Remedies: Examples of Induced Nephrotoxicity in the Mouse from a Series of Remedies Containing Aristolochic Acid
Dong-Ming Tsai,Jaw-Jou Kang,Shoei-Sheng Lee,San-Yuan Wang
Evidence-Based Complementary and Alternative Medicine , 2013, DOI: 10.1155/2013/263757
A Review of 3D Reconstruction of Plant Objects

WANG Yong-jiao,MO Guo-liang,ZHANG Yin,ZHANG San-yuan,

计算机应用研究 , 2005,
Abstract: Based on the 3D modeling of plants, specific purpose, meaning characteristic and limitations of each model are discussed. Based on various methodologies for comparison,the current status of research work is introduced for applications in plant simulation modeling. Finally, summarize the existing issues and highlight the perspectives from the viewpoints of research and applications.
Study on 2D Sketch Representation Method

WANG Yong-jiao,HE Li-li,ZHANG Yin,ZHANG San-yuan,

计算机应用研究 , 2006,
Abstract: First, presents the advantage of the muhi-version DB server in mobile DBMS, which is followed by the analysis of bow multiersion DB server bring the new concurrency control problem and the what is the outcome of the problem, Then provides a concurrency scheme and give the explanation of how this scheme works. In the last part briefly illuminates the essential of the concurrency scheme.
Proteomic Profiling of Rabbit Embryonic Stem Cells Derived from Parthenotes and Fertilized Embryos
Payungsuk Intawicha, Shih-Han Wang, Ya-Chen Hsieh, Neng-Wen Lo, Kun-Hsiung Lee, San-Yuan Huang, Jyh-Cherng Ju
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0067772
Abstract: Rabbit embryonic stem (rES) cells can be derived from various sources of embryos. However, understanding of the gene expression profile, which distincts embryonic stem (ES) cells from other cell types, is still extremely limited. In this study, we compared the protein profiles of three independent lines of rabbit cells, i.e., fibroblasts, fertilized embryo-derived stem (f-rES) cells, and parthenote-derived ES (p-rES) cells. Proteomic analyses were performed using two-dimensional gel electrophoresis (2-DE) and mass spectrometry. Collectively, the expression levels of 100 out of 284 protein spots differed significantly among these three cell types (p<0.05). Of those differentially expressed spots, 91% were identified in the protein database and represented 63 distinct proteins. Proteins with known identities are mainly localized in the cytoplasmic compartments (48%), nucleus (14%), and cytoskeletal machineries (13%). These proteins were majorly involved in biological functions of energy and metabolic pathways (25%), cell growth and maintenance (25%), signal transduction (14%), and protein metabolisms (10%). When protein expression levels among cell types were compared, six proteins associated with a variety of cellular activities, including structural constituents of the cytoskeleton (tubulins), structural molecule (KRT8), catalytic molecules (α-enolase), receptor complex scaffold (14-3-3 protein sigma), microfilament motor proteins (Myosin-9), and heat shock protein (HSP60), were found highly expressed in p-rES cells. Two proteins related to HSP activity and structural constituent of cytoskeleton in f-rES cells, and one structural molecule activity protein in fibroblasts showed significantly higher expression levels (p<0.05). Marker protein expressions in f-rES and p-rES cells were further confirmed by Western blotting and immunocytochemical staining. This study demonstrated unique proteomic profiles of the three rabbit cell types and revealed some novel proteins differentially expressed between f-rES and p-rES cells. These analyses provide insights into rES cell biology and would invite more in-depth studies toward rES cell applications.
Fast Algorithms to Partition Simple RectilinearPolygons
San-Yuan Wu,Sartaj Sahni
VLSI Design , 1994, DOI: 10.1155/1994/16075
Retrieving Components Based on Faceted Classification

WANG Yuan-feng,ZHANG Yong,REN Hong-min,ZHU San-yuan,QIAN Le-qiu,

软件学报 , 2002,
Abstract: With the deepening of reuse practice and scaling up of the component repository, the research of representing and retrieving software components gains more attention in software engineering research. A method based on tree inclusion is proposed to retrieve reusable components classified in faceted scheme, which combines the theory of tree matching and the feature of faceted classification scheme. The analysis and the experimental results demonstrate the feasibility and effectiveness of this method.
Research on Matching Algorithm for XML-Based Software Component Query

XU Ru-Zhi,QIAN Le-Qiu,CHENG Jian-Ping,WANG Yuan-Feng,ZHU San-Yuan,

软件学报 , 2003,
Abstract: Based on the research of unordered tree-inclusion matching, a matching algorithm for XML-based component query is proposed. This algorithm can greatly improve the recall and provide support for Boolean query while maintaining a high level precision. Moreover, by adding some constraints on the basis of features of software component and using dynamic programming, the computation of matching cost is resolved in polynomial time, so that a high efficiency for the component query is guaranteed. Furthermore, the feasibility and efficiency of the new matching algorithm in practical application to software component query are confirmed by the results of a series of experiments on a prototype system RCRS.
A Matching Model for Software Component Classified in Faceted Scheme

WANG Yuan-Feng,XUE Yun-Jiao,ZHANG Yong,ZHU San-Yuan,QIAN Le-Qiu,

软件学报 , 2003,
Abstract: As the component repositories scaling up and the reuse practice deepening, representing and retrieving software components gains more attention from software engineering researchers. A matching model is proposed in this paper to retrieve reusable components classified in faceted scheme includes three levels and five schemes. A generic matching algorithm is provided and analysis and test are done on its specialized implement and relevant time complexity. The results show that this solution is feasible and effective for the component retrieval.
Metabolomic Dynamic Analysis of Hypoxia in MDA-MB-231 and the Comparison with Inferred Metabolites from Transcriptomics Data
I-Lin Tsai,Tien-Chueh Kuo,Tsung-Jung Ho,Yeu-Chern Harn,San-Yuan Wang,Wen-Mei Fu,Ching-Hua Kuo,Yufeng Jane Tseng
Cancers , 2013, DOI: 10.3390/cancers5020491
Abstract: Hypoxia affects the tumor microenvironment and is considered important to metastasis progression and therapy resistance. Thus far, the majority of global analyses of tumor hypoxia responses have been limited to just a single omics level. Combining multiple omics data can broaden our understanding of tumor hypoxia. Here, we investigate the temporal change of the metabolite composition with gene expression data from literature to provide a more comprehensive insight into the system level in response to hypoxia. Nuclear magnetic resonance spectroscopy was used to perform metabolomic profiling on the MDA-MB-231 breast cancer cell line under hypoxic conditions. Multivariate statistical analysis revealed that the metabolic difference between hypoxia and normoxia was similar over 24 h, but became distinct over 48 h. Time dependent microarray data from the same cell line in the literature displayed different gene expressions under hypoxic and normoxic conditions mostly at 12 h or earlier. The direct metabolomic profiles show a large overlap with theoretical metabolic profiles deduced from previous transcriptomic studies. Consistent pathways are glycolysis/gluconeogenesis, pyruvate, purine and arginine and proline metabolism. Ten metabolic pathways revealed by metabolomics were not covered by the downstream of the known transcriptomic profiles, suggesting new metabolic phenotypes. These results confirm previous transcriptomics understanding and expand the knowledge from existing models on correlation and co-regulation between transcriptomic and metabolomics profiles, which demonstrates the power of integrated omics analysis.
Inflammation’s Association with Metabolic Profiles before and after a Twelve-Week Clinical Trial in Drug-Na?ve Patients with Bipolar II Disorder
Sheng-Yu Lee, Shiou-Lan Chen, Yun-Hsuan Chang, Po See Chen, San-Yuan Huang, Nian-Sheng Tzeng, Yu-Shan Wang, Liang-Jen Wang, I. Hui Lee, Tzu-Yun Wang, Tzung Lieh Yeh, Yen Kuang Yang, Jau-Shyong Hong, Ru-Band Lu
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0066847
Abstract: Inflammation is thought to be involved in the pathophysiology of bipolar disorder (BP) and metabolic syndrome. Prior studies evaluated the association between metabolic profiles and cytokines only during certain mood states instead of their changes during treatment. We enrolled drug-na?ve patients with BP-II and investigated the correlation between changes in mood symptoms and metabolic indices with changes in plasma cytokine levels after 12 weeks of pharmacological treatment. Drug-na?ve patients (n = 117) diagnosed with BP-II according to DSM-IV criteria were recruited. Metabolic profiles (cholesterol, triglyceride, HbA1C, fasting serum glucose, body mass index (BMI) and plasma cytokines (TNF-α, CRP, IL-6, and TGF-β) were measured at baseline and 2, 8, and 12 weeks post-treatment. To adjust within-subject dependence over repeated assessments, multiple linear regressions with generalized estimating equation methods were used. Seventy-six (65.0%) patients completed the intervention. Changes in plasma CRP were significantly associated with changes in BMI (P = 1.7E-7) and triglyceride (P = 0.005) levels. Changes in plasma TGF-β1 were significantly associated with changes in BMI (P = 8.2E-6), cholesterol (P = 0.004), and triglyceride (P = 0.006) levels. However, changes in plasma TNF-α and IL-6 were not associated with changes in any of the metabolic indices. Changes in Hamilton Depression Rating Scale scores were significantly associated with changes in IL-6 (P = 0.003) levels; changes in Young Mania Rating Scale scores were significantly associated with changes in CRP (P = 0.006) and TNF-α (P = 0.039) levels. Plasma CRP and TGF-β1 levels were positively correlated with several metabolic indices in BP-II after 12 weeks of pharmacological intervention. We also hypothesize that clinical symptoms are correlated with certain cytokines. These new findings might be important evidence that inflammation is the pathophysiology of clinical symptoms and metabolic disturbance in BP-II. Trial Registration ClinicalTrials.gov NCT01188148.
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