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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: Population & Adsorption. 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
01 Feb 2019-Carbon
TL;DR: In this paper, metal-organic frameworks derived nanoporous Fe3O4@ carbon (Fe3O 4@NPC) composites were successfully obtained by a simple method, in which the electromagnetic wave absorbing performances were significantly enhanced due to the optimal impedance matching and strong attenuation via the synergy between the dielectric loss and the magnetic loss.

331 citations

Journal ArticleDOI
TL;DR: A combination of band convergence and interstitial defects, each of which enables a ≈150% increase in the peak zT, successfully accumulates the zT enhancements to be ≈300% (zT up to 1.6) without involving any toxic elements.
Abstract: Compared to commercially available p-type PbTe thermoelectrics, SnTe has a much bigger band offset between its two valence bands and a much higher lattice thermal conductivity, both of which limit its peak thermoelectric figure of merit, zT of only 0.4. Converging its valence bands or introducing resonant states is found to enhance the electronic properties, while nanostructuring or more recently introducing interstitial defects is found to reduce the lattice thermal conductivity. Even with an integration of some of the strategies above, existing efforts do not enable a peak zT exceeding 1.4 and usually involve Cd or Hg. In this work, a combination of band convergence and interstitial defects, each of which enables a ≈150% increase in the peak zT, successfully accumulates the zT enhancements to be ≈300% (zT up to 1.6) without involving any toxic elements. This opens new possibilities for further improvements and promotes SnTe as an environment-friendly solution for conventional p-PbTe thermoelectrics.

329 citations

Journal ArticleDOI
08 Nov 2018-Nature
TL;DR: It is shown that, through its binding protein YTHDF1, m6A promotes protein translation of target transcripts in response to neuronal stimuli in the adult mouse hippocampus, thereby facilitating learning and memory.
Abstract: N6-methyladenosine (m6A), the most prevalent internal RNA modification on mammalian messenger RNAs, regulates the fates and functions of modified transcripts through m6A-specific binding proteins1–5. In the nervous system, m6A is abundant and modulates various neural functions6–11. Whereas m6A marks groups of mRNAs for coordinated degradation in various physiological processes12–15, the relevance of m6A for mRNA translation in vivo remains largely unknown. Here we show that, through its binding protein YTHDF1, m6A promotes protein translation of target transcripts in response to neuronal stimuli in the adult mouse hippocampus, thereby facilitating learning and memory. Mice with genetic deletion of Ythdf1 show learning and memory defects as well as impaired hippocampal synaptic transmission and long-term potentiation. Re-expression of YTHDF1 in the hippocampus of adult Ythdf1-knockout mice rescues the behavioural and synaptic defects, whereas hippocampus-specific acute knockdown of Ythdf1 or Mettl3, which encodes the catalytic component of the m6A methyltransferase complex, recapitulates the hippocampal deficiency. Transcriptome-wide mapping of YTHDF1-binding sites and m6A sites on hippocampal mRNAs identified key neuronal genes. Nascent protein labelling and tether reporter assays in hippocampal neurons showed that YTHDF1 enhances protein synthesis in a neuronal-stimulus-dependent manner. In summary, YTHDF1 facilitates translation of m6A-methylated neuronal mRNAs in response to neuronal stimulation, and this process contributes to learning and memory. Neuronal stimulation induces protein translation of m6A-methylated neuronal mRNAs facilitated by YTHDF1, and this process contributes to learning and memory.

329 citations

Journal ArticleDOI
TL;DR: In this paper, an ordered mesoporous carbon composite catalyst (CuFe-MC) was synthesized via a one-pot block-copolymer self-assembly strategy, which showed a promising application in the degradation of non-biodegradation organic contaminants.
Abstract: Iron-copper bimetallic nanoparticles embedded within ordered mesoporous carbon composite catalyst (CuFe-MC) was synthesized via a “one-pot” block-copolymer self-assembly strategy. The catalyst was characterized by transmission electron microscopy (TEM), scanning electron microscopy (SEM), X-ray diffraction (XRD), etc. The results showed the catalyst was ordered 2D hexagonal mesostructure and iron-copper nanoparticles highly dispersed in the matrix of ordered mesoporous carbon. The composite was used as a heterogeneous Fenton catalyst and showed a promising application in the degradation of non-biodegradation organic contaminants. Eight organic compounds were chosen as model contaminants, such as phenol, bisphenol A (BPA), etc. Efficient total organic carbon (TOC) removal of each organic contaminant was achieved by using CuFe-MC as catalyst, which was higher than that by Fe2+ ion at the same reaction condition. BPA was selected to further investigate the high catalytic activity of CuFe-MC. CuFe-MC presented high adsorption capacity for BPA due to its high BET surface area (639 m2 g−1) and mesostructure. The results of BPA degradation showed that the catalytic activity of CuFe-MC was much higher than Fe-MC and Cu-MC. Electron spin resonance (ESR) and high performance liquid chromatography (HPLC) results indicated that the concentration of generated hydroxyl radicals (•OH) with CuFe-MC was much higher than Fe-MC and Cu-MC. The low iron leaching of CuFe-MC suggested its good stability. Moreover, it could be easily separated by using an external magnet after the reaction and remained good activity after being recycled for several times, demonstrating its promising long-term application in the treatment of wastewater.

329 citations

Journal ArticleDOI
TL;DR: In this paper, the authors synthesize existing clay mineralogical and geochemical data from similar to 1500 samples from the seafloor and surrounding rivers, deepwater mooring observation results, and high resolution glacial-cyclic clay mineralogy records from six high-quality sediment cores.

329 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
20219,713
20208,502
20197,517
20186,352