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Institution

Xiamen University

EducationAmoy, Fujian, China
About: Xiamen University is a education organization based out in Amoy, Fujian, China. It is known for research contribution in the topics: Catalysis & Population. The organization has 50472 authors who have published 54480 publications receiving 1058239 citations. The organization is also known as: Amoy University & Xiàmén Dàxué.


Papers
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Journal ArticleDOI
TL;DR: The bottom-up synthesis of AuNR/TiO2 nanodumbbells (NDs) with spatially separated Au/O2 regions are reported, whose structures are governed by the NRs' diameter, and the higher curvature and lower density of CnTAB surfactant at theNRs' tips than on their lateral surfaces.
Abstract: Plasmonic metal/semiconductor heterostructures show promise for visible-light-driven photocatalysis. Gold nanorods (AuNRs) semi-coated with TiO2 are expected to be ideally structured systems for hydrogen evolution. Synthesizing such structures by wet-chemistry methods, however, has proved challenging. Here we report the bottom-up synthesis of AuNR/TiO2 nanodumbbells (NDs) with spatially separated Au/TiO2 regions, whose structures are governed by the NRs’ diameter, and the higher curvature and lower density of CnTAB surfactant at the NRs’ tips than on their lateral surfaces, as well as the morphology’s dependence on concentration, and alkyl chain length of CnTAB. The NDs show plasmon-enhanced H2 evolution under visible and near-infrared light.

397 citations

Journal ArticleDOI
TL;DR: It is found that Mlkl deficiency protects mice from cerulean-induced acute pancreatitis, a necrosis-related disease, but has no effect on polymicrobial septic shock-induced animal death.
Abstract: Mixed lineage kinase domain-like protein (Mlkl) was recently found to interact with receptor interacting protein 3 (Rip3) and to be essential for tumor necrosis factor (TNF)-induced programmed necrosis (necroptosis) in cultured cell lines. We have generated Mlkl-deficient mice by transcription activator-like effector nucleases (TALENs)-mediated gene disruption and found Mlkl to be dispensable for normal mouse development as well as immune cell development. Mlkl-deficient mouse embryonic fibroblasts (MEFs) and macrophages both showed resistance to necrotic but not apoptotic stimuli. Mlkl-deficient MEFs and macrophages were indistinguishable from wild-type cells in their ability to activate NF-κB, ERK, JNK, and p38 in response to TNF and lipopolysaccharides (LPS), respectively. Consistently, Mlkl-deficient macrophages and mice exhibited normal interleukin-1β (IL-1β), IL-6, and TNF production after LPS treatment. Mlkl deficiency protects mice from cerulean-induced acute pancreatitis, a necrosis-related disease, but has no effect on polymicrobial septic shock-induced animal death. Our results provide genetic evidence for the role of Mlkl in necroptosis.

396 citations

Journal ArticleDOI
23 Aug 2018
TL;DR: In this paper, 29 teams involving 61 analysts used the same data set to address the same research question: whether soccer referees are more likely to give red cards to dark-skin-toned players than to light-skinned-players.
Abstract: Twenty-nine teams involving 61 analysts used the same data set to address the same research question: whether soccer referees are more likely to give red cards to dark-skin-toned players than to light-skin-toned players. Analytic approaches varied widely across the teams, and the estimated effect sizes ranged from 0.89 to 2.93 (Mdn = 1.31) in odds-ratio units. Twenty teams (69%) found a statistically significant positive effect, and 9 teams (31%) did not observe a significant relationship. Overall, the 29 different analyses used 21 unique combinations of covariates. Neither analysts’ prior beliefs about the effect of interest nor their level of expertise readily explained the variation in the outcomes of the analyses. Peer ratings of the quality of the analyses also did not account for the variability. These findings suggest that significant variation in the results of analyses of complex data may be difficult to avoid, even by experts with honest intentions. Crowdsourcing data analysis, a strategy in which numerous research teams are recruited to simultaneously investigate the same research question, makes transparent how defensible, yet subjective, analytic choices influence research results.

396 citations

Journal ArticleDOI
TL;DR: This study provides not only a valuable molecular model of the "Co-Pi" catalysts with a well-defined structure but also an unprecedented opportunity to fine-tune high-nuclearity POM clusters for visible light-driven water splitting.
Abstract: A series of all-inorganic, abundant-metal-based, high-nuclearity cobalt–phosphate (Co–Pi) molecular catalysts [{Co4(OH)3(PO4)}4(SiW9O34)4]32– (1), [{Co4(OH)3(PO4)}4(GeW9O34)4]32– (2), [{Co4(OH)3(PO4)}4(PW9O34)4]28– (3), and [{Co4(OH)3(PO4)}4(AsW9O34)4]28– (4) were synthesized and shown to be highly effective at photocatalytic water oxidation. The {Co16(PO4)4} cluster contains a Co4O4 cubane which is structurally analogous to the [Mn3CaO4] core of the oxygen-evolving complex (OEC) in photosystem II (PSII). Compounds 1–4 were shown to be the first POM-based Co–Pi-cluster molecular catalysts for visible light-driven water oxidation, thus serving as a functional model of the OEC in PSII. The systematic synthesis of four isostructural analogues allowed for investigating the influence of different heteroatoms in the POM ligands on the photocatalytic activities of these Co–Pi cluster WOCs. Further, the POM-based photocatalysts readily recrystallized from the photocatalytic reaction systems with the polyoxoanion ...

394 citations

Proceedings ArticleDOI
18 Jun 2018
TL;DR: Zhun et al. as discussed by the authors proposed a data augmentation approach that smooths the camera style disparities by using a label smooth regularization (LSR) to alleviate the impact of noise.
Abstract: Being a cross-camera retrieval task, person re-identification suffers from image style variations caused by different cameras. The art implicitly addresses this problem by learning a camera-invariant descriptor subspace. In this paper, we explicitly consider this challenge by introducing camera style (CamStyle) adaptation. CamStyle can serve as a data augmentation approach that smooths the camera style disparities. Specifically, with CycleGAN, labeled training images can be style-transferred to each camera, and, along with the original training samples, form the augmented training set. This method, while increasing data diversity against over-fitting, also incurs a considerable level of noise. In the effort to alleviate the impact of noise, the label smooth regularization (LSR) is adopted. The vanilla version of our method (without LSR) performs reasonably well on few-camera systems in which over-fitting often occurs. With LSR, we demonstrate consistent improvement in all systems regardless of the extent of over-fitting. We also report competitive accuracy compared with the state of the art. Code is available at: https://github.com/zhunzhong07/CamStyle

394 citations


Authors

Showing all 50945 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Lei Jiang1702244135205
Yang Gao1682047146301
William A. Goddard1511653123322
Rui Zhang1512625107917
Xiaoyuan Chen14999489870
Fuqiang Wang145151895014
Galen D. Stucky144958101796
Shu-Hong Yu14479970853
Wei Huang139241793522
Bin Liu138218187085
Jie Liu131153168891
Han Zhang13097058863
Lei Zhang130231286950
Jian Zhou128300791402
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023248
2022943
20216,784
20205,710
20194,982
20184,057