Institution
Nanjing University
Education•Nanjing, China•
About: Nanjing University is a education organization based out in Nanjing, China. It is known for research contribution in the topics: Catalysis & Population. The organization has 85961 authors who have published 105504 publications receiving 2289036 citations. The organization is also known as: NJU & Nanking University.
Topics: Catalysis, Population, Adsorption, Magnetization, Graphene
Papers published on a yearly basis
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TL;DR: Through using a well-passivated perovskite nanocrystal film and optimizing the charge balance, this work achieved an electroluminescence LED with a current efficiency of 3.4 cd A-1, corresponding to an external quantum efficiency (EQE) of 6.3%, which is the highest value reported among perovkite NC LEDs so far.
Abstract: The high photoluminescence efficiency, high color purity, and easy tunable bandgap make inorganic perovskite nanocrystals very attractive in luminescent display applications. Here, we report a color-saturated, red light-emitting diode (LED) using an inverted organic/inorganic hybrid structure and perovskite nanocrystals. We demonstrated that through a simple post treatment to the perovskite nanocrystals with polyethylenimine, the surface defects of the perovskite nanocrystals could be well passivated, leading to great enhancements on their absolute photoluminescence quantum yield and photoluminescence lifetime. Through using a well-passivated perovskite nanocrystal film and optimizing the charge balance, we achieved an electroluminescence LED with a current efficiency of 3.4 cd A–1, corresponding to an external quantum efficiency (EQE) of 6.3%, which is the highest value reported among perovskite NC LEDs so far.
266 citations
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TL;DR: It is demonstrated that miR-25 might be a “tissue-specific” miRNA for glycaemic control 3 months after diagnosis in new onset T1D children and therefore supports the role of circulating miRNAs as predictive biomarkers for tissue physiopathology and potential intervention targets.
Abstract: This study aims to identify key miRNAs in circulation, which predict ongoing beta-cell destruction and regeneration in children with newly diagnosed Type 1 Diabetes (T1D). We compared expression level of sera miRNAs from new onset T1D children and age-matched healthy controls and related the miRNAs expression levels to beta-cell function and glycaemic control. Global miRNA sequencing analyses were performed on sera pools from two T1D cohorts (n = 275 and 129, resp.) and one control group (n = 151). We identified twelve upregulated human miRNAs in T1D patients (miR-152, miR-30a-5p, miR-181a, miR-24, miR-148a, miR-210, miR-27a, miR-29a, miR-26a, miR-27b, miR-25, miR-200a); several of these miRNAs were linked to apoptosis and beta-cell networks. Furthermore, we identified miR-25 as negatively associated with residual beta-cell function (est.: −0.12, P = 0.0037), and positively associated with glycaemic control (HbA1c) (est.: 0.11, P = 0.0035) 3 months after onset. In conclusion this study demonstrates that miR-25 might be a “tissue-specific” miRNA for glycaemic control 3 months after diagnosis in new onset T1D children and therefore supports the role of circulating miRNAs as predictive biomarkers for tissue physiopathology and potential intervention targets.
266 citations
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TL;DR: Pt nanoparticles are deposited onto graphene sheets via synchronous reduction of H2PtCl6 and graphene oxide (GO) suspension using NaBH4 to avoid irreversible aggregation of graphene (G) sheets, which happens during conventional drying process as mentioned in this paper.
266 citations
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TL;DR: In this paper, an overview of existing work along with a fuzzy clustering analysis and simulations suggest that the asymmetry, irregularity and extremes of El Nino result from westerly wind bursts.
Abstract: El Nino diversity and its genesis are debated. An overview of existing work along with a fuzzy clustering analysis and simulations suggest that the asymmetry, irregularity and extremes of El Nino result from westerly wind bursts.
265 citations
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TL;DR: It is shown that PEPR1 specifically interacts with receptor-like cytoplasmic kinases botrytis-induced kinase 1 (BIK1) and PBS1-like 1 (PBL1) to mediate Pep1-induced defenses, illustrating a mechanism by which ET and PEPR signaling pathways act in concert to amplify immune responses.
Abstract: Plants have evolved intricate immune mechanisms to combat pathogen infection. Upon perception of pathogen-derived signals, plants accumulate defense hormones such as ethylene (ET), jasmonate, salicylate, and damage-associated molecular patterns to amplify immune responses. In particular, the Arabidopsis peptide Pep1 and its family members are thought to be damage-associated molecular patterns that trigger immunity through Pep1 receptor kinases PEPR1 and PEPR2. Here we show that PEPR1 specifically interacts with receptor-like cytoplasmic kinases botrytis-induced kinase 1 (BIK1) and PBS1-like 1 (PBL1) to mediate Pep1-induced defenses. In vitro and in vivo studies suggested that PEPR1, and likely PEPR2, directly phosphorylates BIK1 in response to Pep1 treatment. Surprisingly, the pepr1/pepr2 double-mutant seedlings displayed reduced in sensitivity to ET, as indicated by the elongated hypocotyls. ET-induced expression of defense genes and resistance to Botrytis cinerea were compromised in pepr1/pepr2 and bik1 mutants, reenforcing an important role of PEPRs and BIK1 in ET-mediated defense signaling. Pep treatment partially mimicked ET-induced seedling growth inhibition in a PEPR- and BIK1-dependent manner. Furthermore, both ET and Pep1 treatments induced BIK1 phosphorylation in a PEPR-dependent manner. However, the Pep1-induced BIK1 phosphorylation, seedling growth inhibition, and defense gene expression were independent of canonical ET signaling components. Together our results illustrate a mechanism by which ET and PEPR signaling pathways act in concert to amplify immune responses.
265 citations
Authors
Showing all 86514 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Chen | 217 | 4342 | 293080 |
H. S. Chen | 179 | 2401 | 178529 |
Zhenan Bao | 169 | 865 | 106571 |
Gang Chen | 167 | 3372 | 149819 |
Peter G. Schultz | 156 | 893 | 89716 |
Xiang Zhang | 154 | 1733 | 117576 |
Rui Zhang | 151 | 2625 | 107917 |
Yi Yang | 143 | 2456 | 92268 |
Markku Kulmala | 142 | 1487 | 85179 |
Jian Yang | 142 | 1818 | 111166 |
Wei Huang | 139 | 2417 | 93522 |
Bin Liu | 138 | 2181 | 87085 |
Jun Lu | 135 | 1526 | 99767 |
Hui Li | 135 | 2982 | 105903 |
Lei Zhang | 135 | 2240 | 99365 |