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Institution

Tongji University

EducationShanghai, China
About: Tongji University is a education organization based out in Shanghai, China. It is known for research contribution in the topics: Computer science & Population. The organization has 76116 authors who have published 81176 publications receiving 1248911 citations. The organization is also known as: Tongji & Tóngjì Dàxué.


Papers
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Journal ArticleDOI
TL;DR: Transmission electronic microscopy, X-ray diffraction and Raman spectroscopy are applied to study the compositional and structural evolution of nanoscale zero-valent iron under oxic and anoxic conditions and fills an important knowledge gap on the physicochemical characteristics andStructural evolution of engineered nanomaterials in the environment.

188 citations

Journal ArticleDOI
Qin Tang1, Zhiming Ma2, Zhiming Ma1, Huixia Wu1, Wan Wang2 
TL;DR: In this article, the median diameter and replacement ratio of Recycled Powder (RP) concrete should be below 30μm and 30%, respectively, to improve the durability of concrete when the RP fineness is superior to the cement fineness.
Abstract: Recycled powder (RP) is the main by-product in the reclamation of construction and demolition (CD in addition, improvement methods and a benefit evaluation of RP concrete are further introduced. Based on statistical data that describe the activity index of RP and the compressive strength of RP concrete, the median diameter and replacement ratio of RP in concrete preparation should be below 30 μm and 30%, respectively. The use of RP improves the durability of concrete when the RP fineness is superior to the cement fineness. Increasing the RP fineness is an effective approach to improving the properties of RP concrete, and a CO2-curing treatment of RCP is an eco-friendly modification method. Furthermore, the use of RP in concrete has good economic and environmental benefits. Therefore, one expects that this review helps the further use of RP in concrete.

188 citations

Journal ArticleDOI
TL;DR: In this article, the thermal conductivity of both suspended and supported graphene has been studied by using molecular dynamics simulations and an obvious length dependence is observed in suspended single-layer graphene (SLG), while κ of supported SLG is insensitive to the length.
Abstract: Thermal conductivity κ of both suspended and supported graphene has been studied by using molecular dynamics simulations An obvious length dependence is observed in κ of suspended single-layer graphene (SLG), while κ of supported SLG is insensitive to the length The simulation result of room temperature κ of supported SLG is in good agreement with the experimental value In contrast to the decrease in κ induced by inter-layer interaction in suspended few-layer graphene (FLG), κ of supported FLG is found to increase rapidly with the layer thickness, reaching about 90% of that of bulk graphite at six layers, and eventually saturates at the thickness of 134 nm More interestingly, unlike the remarkable substrate dependent κ in SLG, the effect of substrate on thermal transport is much weaker in FLG The underlying physics is investigated and presented

188 citations

Proceedings ArticleDOI
16 Jun 2019
TL;DR: Li et al. as mentioned in this paper proposed a perspective-aware convolutional neural network (PACNN) for efficient crowd counting, which integrates the perspective information into density regression to provide additional knowledge of the person scale change in an image.
Abstract: Crowd counting is the task of estimating people numbers in crowd images. Modern crowd counting methods employ deep neural networks to estimate crowd counts via crowd density regressions. A major challenge of this task lies in the perspective distortion, which results in drastic person scale change in an image. Density regression on the small person area is in general very hard. In this work, we propose a perspective-aware convolutional neural network (PACNN) for efficient crowd counting, which integrates the perspective information into density regression to provide additional knowledge of the person scale change in an image. Ground truth perspective maps are firstly generated for training; PACNN is then specifically designed to predict multi-scale perspective maps and encode them as perspective-aware weighting layers in the network to adaptively combine the outputs of multi-scale density maps. The weights are learned at every pixel of the maps such that the final density combination is robust to the perspective distortion. We conduct extensive experiments on the ShanghaiTech, WorldExpo’10, UCF_CC_50, and UCSD datasets, and demonstrate the effectiveness and efficiency of PACNN over the state-of-the-art.

188 citations

Journal ArticleDOI
TL;DR: In vitro release study indicated that threads made from the core-shell fibers could suppress the initial burst release and provide a sustained drug release useful for the release of growth factor or other therapeutic drugs.
Abstract: In this work, drug-loaded fibers and threads were successfully fabricated by combining electrospinning with aligned fibers collection Two different electrospinning processes, that is, blend and coaxial electrospinning, to incorporate a model drug tetracycline hydrochloride (TCH) into poly(L-lactic acid) (PLLA) fibers have been used and compared with each other The resulting composite ultrafine fibers and threads were characterized through scanning electron microscopy, transmission electron microscopy, Fourier transform infrared spectroscopy, X-ray diffraction, differential scanning calorimetry, and tensile testing It has been shown that average diameters of the fibers made from the same polymer concentration depended on the processing method The blend TCH/PLLA fibers showed the smallest fiber diameter, whereas neat PLLA fibers and core-shell TCH-PLLA fibers showed a larger proximal average diameter Higher rotating speed of a wheel collector is helpful for obtaining better-aligned fibers Both the polymer and the drug in the electrospun fibers have poor crystalline property In vitro release study indicated that threads made from the core-shell fibers could suppress the initial burst release and provide a sustained drug release useful for the release of growth factor or other therapeutic drugs On the other hand, the threads from the blend fibers produced a large initial burst release that may be used to prevent bacteria infection A combination of these results suggests that electrospinning technique provides a novel way to fabricate medical agents-loaded fibrous threads for tissue suturing and tissue regeneration applications

188 citations


Authors

Showing all 76610 results

NameH-indexPapersCitations
Gang Chen1673372149819
Yang Yang1642704144071
Georgios B. Giannakis137132173517
Jian Li133286387131
Jianlin Shi12785954862
Zhenyu Zhang118116764887
Ju Li10962346004
Peng Wang108167254529
Qian Wang108214865557
Yan Zhang107241057758
Richard B. Kaner10655766862
Han-Qing Yu10571839735
Wei Zhang104291164923
Fabio Marchesoni10460774687
Feng Li10499560692
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023238
20221,051
20219,715
20208,502
20197,517
20186,352