Institution
National Chung Hsing University
Education•Taichung, Taiwan•
About: National Chung Hsing University is a education organization based out in Taichung, Taiwan. It is known for research contribution in the topics: Catalysis & Thin film. The organization has 19443 authors who have published 24060 publications receiving 540154 citations. The organization is also known as: NCHU.
Topics: Catalysis, Thin film, Population, Apoptosis, Gene
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the state of the art in Sulfate radical-based advanced Oxidation processes (SR-AOPs) application for industrial wastewater treatment is presented, and an integrated presentation of the dominant pathways towards IWW decontamination is discussed.
609 citations
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TL;DR: In this article, the authors estimate the relationship between GDP and electricity consumption in 10 newly industrializing and developing Asian countries using both single data sets and panel data procedures, and the empirical results from single data set indicate that the causality directions in the 10 Asian countries are mixed while there is a uni-directional short-run causality running from economic growth to electricity consumption.
591 citations
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Regeneron1, National Chung Hsing University2, Los Angeles Biomedical Research Institute3, Duke University4, Copenhagen University Hospital5, Geisinger Medical Center6, National Yang-Ming University7, Chung Shan Medical University8, China Medical University (Taiwan)9, University of California, Los Angeles10, University of Pennsylvania11, University of Copenhagen12, Netherlands Organisation for Applied Scientific Research13
TL;DR: Genetic and therapeutic antagonism of ANGPTL3 in humans and of Angptl3 in mice was associated with decreased levels of all three major lipid fractions and decreased odds of atherosclerotic cardiovascular disease.
Abstract: BackgroundLoss-of-function variants in the angiopoietin-like 3 gene (ANGPTL3) have been associated with decreased plasma levels of triglycerides, low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol. It is not known whether such variants or therapeutic antagonism of ANGPTL3 are associated with a reduced risk of atherosclerotic cardiovascular disease. MethodsWe sequenced the exons of ANGPTL3 in 58,335 participants in the DiscovEHR human genetics study. We performed tests of association for loss-of-function variants in ANGPTL3 with lipid levels and with coronary artery disease in 13,102 case patients and 40,430 controls from the DiscovEHR study, with follow-up studies involving 23,317 case patients and 107,166 controls from four population studies. We also tested the effects of a human monoclonal antibody, evinacumab, against Angptl3 in dyslipidemic mice and against ANGPTL3 in healthy human volunteers with elevated levels of triglycerides or LDL cholesterol. ResultsIn th...
582 citations
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TL;DR: It is speculated that part of the negatively charged AuNPs might adsorb serum protein and enter cells via the more complicated endocytotic pathway, which results in higher cytotoxicity and immunological response of AuNPS as compared to AgNPS.
Abstract: The immunological response of macrophages to physically produced pure Au and Ag nanoparticles (NPs) (in three different sizes) is investigated in vitro. The treatment of either type of NP at ≥10 ppm dramatically decreases the population and increases the size of the macrophages. Both NPs enter the cells but only AuNPs (especially those with smaller diamter) up-regulate the expressions of proinflammatory genes interlukin-1 (IL-1), interlukin-6 (IL-6), and tumor necrosis factor (TNF-α). Transmission electron microscopy images show that AuNPs and AgNPs are both trapped in vesicles in the cytoplasma, but only AuNPs are organized into a circular pattern. It is speculated that part of the negatively charged AuNPs might adsorb serum protein and enter cells via the more complicated endocytotic pathway, which results in higher cytotoxicity and immunological response of AuNPs as compared to AgNPS.
579 citations
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TL;DR: This work provides a new probabilistic derivation for any incidence-based index that is symmetric and homogeneous and proposes estimators that adjust for the effect of unseen shared species on the authors' abundance-based indices.
Abstract: A wide variety of similarity indices for comparing two assemblages based on species incidence (i.e., presence/absence) data have been proposed in the literature. These indices are generally based on three simple incidence counts: the number of species shared by two assemblages and the number of species unique to each of them. We provide a new probabilistic derivation for any incidence-based index that is symmetric (i.e., the index is not affected by the identity ordering of the two assemblages) and homogeneous (i.e., the index is unchanged if all counts are multiplied by a constant). The probabilistic approach is further extended to formulate abundance-based indices. Thus any symmetric and homogeneous incidence index can be easily modified to an abundance-type version. Applying the Laplace approximation formulas, we propose estimators that adjust for the effect of unseen shared species on our abundance-based indices. Simulation results show that the adjusted estimators significantly reduce the biases of the corresponding unadjusted ones when a substantial fraction of species is missing from samples. Data on successional vegetation in six tropical forests are used for illustration. Advantages and disadvantages of some commonly applied indices are briefly discussed.
550 citations
Authors
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Name | H-index | Papers | Citations |
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Barry Halliwell | 173 | 662 | 159518 |
Chi-Huey Wong | 129 | 1220 | 66349 |
Meilin Liu | 117 | 827 | 52603 |
Wen-Hsiung Li | 106 | 461 | 61181 |
Pan-Chyr Yang | 102 | 786 | 46731 |
David A. Case | 102 | 364 | 74066 |
Jo Shu Chang | 99 | 639 | 37487 |
Wilhelm Gruissem | 94 | 325 | 32048 |
Pi-Tai Chou | 90 | 614 | 30922 |
Liang Tong | 81 | 342 | 21752 |
Tim H M Huang | 80 | 318 | 19905 |
De-en Jiang | 80 | 338 | 20466 |
Gwo-Hshiung Tzeng | 77 | 465 | 26807 |
Jianhua Yang | 74 | 554 | 27839 |
Gow-Chin Yen | 72 | 242 | 17303 |