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 & Adsorption. The organization has 85961 authors who have published 105504 publications receiving 2289036 citations. The organization is also known as: NJU & Nanking University.
Topics: Catalysis, Adsorption, Population, Computer science, Thin film
Papers published on a yearly basis
Papers
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TL;DR: Direct electron transfer of immobilized horseradish peroxidase on gold colloid and its application as a biosensor showed an excellent electrocatalytic response to the reduction of H( 2)O(2) without the aid of an electron mediator and showed a Michaelis-Menten behavior at higher H(2).
335 citations
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14 Jun 2020
TL;DR: PolarMask as discussed by the authors formulates the instance segmentation problem as predicting contour of instance through instance center classification and dense distance regression in a polar coordinate, which can be used by easily embedding it into most off-the-shelf detection methods.
Abstract: In this paper, we introduce an anchor-box free and single shot instance segmentation method, which is conceptually simple, fully convolutional and can be used by easily embedding it into most off-the-shelf detection methods. Our method, termed PolarMask, formulates the instance segmentation problem as predicting contour of instance through instance center classification and dense distance regression in a polar coordinate. Moreover, we propose two effective approaches to deal with sampling high-quality center examples and optimization for dense distance regression, respectively, which can significantly improve the performance and simplify the training process. Without any bells and whistles, PolarMask achieves 32.9% in mask mAP with single-model and single-scale training/testing on the challenging COCO dataset. For the first time, we show that the complexity of instance segmentation, in terms of both design and computation complexity, can be the same as bounding box object detection and this much simpler and flexible instance segmentation framework can achieve competitive accuracy. We hope that the proposed PolarMask framework can serve as a fundamental and strong baseline for single shot instance segmentation task.
335 citations
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TL;DR: The results in this study indicated that pretreated biomass of S. maxima was a promising candidate for removing lead from wastewater.
335 citations
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Japan Agency for Marine-Earth Science and Technology1, University of Bremen2, Oregon State University3, Aarhus University4, J. Craig Venter Institute5, National Institute of Advanced Industrial Science and Technology6, University of Aberdeen7, University of Leoben8, University of Birmingham9, Nanjing University10, Kōchi University11, Massachusetts Institute of Technology12, University of New Hampshire13, University of Nebraska–Lincoln14, University of California, Riverside15, University of Rhode Island16, Rice University17, University of Queensland18, Chiba University19, California Institute of Technology20, Kyoto University21
TL;DR: Evidence is provided for the existence of microbial communities in ~40° to 60°C sediment associated with lignite coal beds at ~1.5 to 2.5 km below the seafloor in the Pacific Ocean off Japan, which suggests that terrigenous sediments retain indigenous community members tens of millions of years after burial in the seabed.
Abstract: Microbial life inhabits deeply buried marine sediments, but the extent of this vast ecosystem remains poorly constrained. Here we provide evidence for the existence of microbial communities in ~40° to 60°C sediment associated with lignite coal beds at ~1.5 to 2.5 km below the seafloor in the Pacific Ocean off Japan. Microbial methanogenesis was indicated by the isotopic compositions of methane and carbon dioxide, biomarkers, cultivation data, and gas compositions. Concentrations of indigenous microbial cells below 1.5 km ranged from <10 to ~10^4 cells cm^(−3). Peak concentrations occurred in lignite layers, where communities differed markedly from shallower subseafloor communities and instead resembled organotrophic communities in forest soils. This suggests that terrigenous sediments retain indigenous community members tens of millions of years after burial in the seabed.
335 citations
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TL;DR: In this paper, the synthesis of Fe3O4decorated Co9S8 nanoparticles in situ grown on a reduced graphene oxide surface was reported and the use of it as a remarkably active and stable OER catalyst is first reported.
Abstract: Cobalt sulfide materials have attracted enormous interest as low-cost alternatives to noble-metal catalysts capable of catalyzing both oxygen reduction and oxygen evolution reactions. Although recent advances have been achieved in the development of various cobalt sulfide composites to expedite their oxygen reduction reaction properties, to improve their poor oxygen evolution reaction (OER) activity is still challenging, which significantly limits their utilization. Here, the synthesis of Fe3O4-decorated Co9S8 nanoparticles in situ grown on a reduced graphene oxide surface (Fe3O4@Co9S8/rGO) and the use of it as a remarkably active and stable OER catalyst are first reported. Loading of Fe3O4 on cobalt sulfide induces the formation of pure phase Co9S8 and highly improves the catalytic activity for OER. The composite exhibits superior OER performance with a small overpotential of 0.34 V at the current density of 10 mA cm−2 and high stability. It is believed that the electron transfer trend from Fe species to Co9S8 promotes the breaking of the Co–O bond in the stable configuration (Co–O–O superoxo group), attributing to the excellent catalytic activity. This development offers a new and effective cobalt sulfide-based oxygen evolution electrocatalysts to replace the expensive commercial catalysts such as RuO2 or IrO2.
334 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 |