Institution
NEC
Company•Tokyo, Japan•
About: NEC is a company organization based out in Tokyo, Japan. It is known for research contribution in the topics: Signal & Layer (electronics). The organization has 33269 authors who have published 57670 publications receiving 835952 citations. The organization is also known as: NEC Corporation & NEC Electronics Corporation.
Topics: Signal, Layer (electronics), Terminal (electronics), Transmission (telecommunications), Electrode
Papers published on a yearly basis
Papers
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NEC1
TL;DR: This paper proposes two generic text summarization methods that create text summaries by ranking and extracting sentences from the original documents, and uses the latent semantic analysis technique to identify semantically important sentences, for summary creations.
Abstract: In this paper, we propose two generic text summarization methods that create text summaries by ranking and extracting sentences from the original documents. The first method uses standard IR methods to rank sentence relevances, while the second method uses the latent semantic analysis technique to identify semantically important sentences, for summary creations. Both methods strive to select sentences that are highly ranked and different from each other. This is an attempt to create a summary with a wider coverage of the document's main content and less redundancy. Performance evaluations on the two summarization methods are conducted by comparing their summarization outputs with the manual summaries generated by three independent human evaluators. The evaluations also study the influence of different VSM weighting schemes on the text summarization performances. Finally, the causes of the large disparities in the evaluators' manual summarization results are investigated, and discussions on human text summarization patterns are presented.
863 citations
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NEC1
TL;DR: The wetting and capillarity of carbon Nanotubes were studied in detail here and have important implications for the further use of carbon nanotubes in experiments on a nanometer scale.
Abstract: The wetting and capillarity of carbon nanotubes were studied in detail here. Nanotubes are not "super-straws," although they can be wet and filled by substances having low surface tension, such as sulfur, selenium, and cesium, with an upper limit to this tension less than 200 millinewtons per meter. This limit implies that typical pure metals will not be drawn into the inner cavity of nanotubes through capillarity, whereas water and organic solvents will. These results have important implications for the further use of carbon nanotubes in experiments on a nanometer scale.
821 citations
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TL;DR: In this article, the authors present images from transmission electron microscopy of a further kind of growth morphology, in which cone-like growth is transformed into cylindrical growth by the incorporation of a defect that induces negative curvature.
Abstract: THE standard carbon-arc synthesis for fullerenes also produces graphitic microtubules with helical structures1. In most cases the cylindrical tubes are closed by polyhedral caps, some being first transformed into a conical shape before closure2. Here we present images from transmission electron microscopy of a further kind of growth morphology, in which cone-like growth is transformed into cylindrical growth by the incorporation of a defect that induces negative curvature. We suggest that the defect in the hexagonal network responsible for negative curvature may be a single heptagonal ring. Three-dimensional, open negatively curved graphitic structures have been proposed recently by Terrones and Mackay3. We discuss more generally the effect of pentagons and heptagons on the growth morphologies of these tubules, and the constraints on the number of pentagonal defects imposed by tube closure.
807 citations
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University of Michigan1, Van Andel Institute2, Royal Melbourne Hospital3, Johns Hopkins University4, Technion – Israel Institute of Technology5, Institute for Systems Biology6, ETH Zurich7, Northeastern University8, Bristol-Myers Squibb9, Ruhr University Bochum10, Yonsei University11, University of California, Los Angeles12, Pacific Northwest National Laboratory13, Icahn School of Medicine at Mount Sinai14, University of New South Wales15, Peking Union Medical College16, Russian Academy17, NEC18, IBM19, Wistar Institute20, Fred Hutchinson Cancer Research Center21
TL;DR: Reverse protein to DNA matching identified proteins for 118 previously unidentified ORFs in the PPP database, and the database permits examination of many other subsets, such as 1274 proteins identified with three or more peptides.
Abstract: HUPO initiated the Plasma Proteome Project (PPP) in 2002. Its pilot phase has (1) evaluated advantages and limitations of many depletion, fractionation, and MS technology platforms; (2) compared PPP reference specimens of human serum and EDTA, heparin, and citrate-anti-coagulated plasma; and (3) created a publicly-available knowledge base (www.bioinformatics.med.umich.edu/hupo/ppp; www.ebi.ac.uk/pride). Thirty-five participating laboratories in 13 countries submitted datasets. Working groups addressed (a) specimen stability and protein concentrations; (b) protein identifications from 18 MS/MS datasets; (c) independent analyses from raw MS-MS spectra; (d) search engine performance, subproteome analyses, and biological insights; (e) antibody arrays; and (f) direct MS/SELDI analyses. MS-MS datasets had 15 710 different International Protein Index (IPI) protein IDs; our integration algorithm applied to multiple matches of peptide sequences yielded 9504 IPI proteins identified with one or more peptides and 3020 proteins identified with two or more peptides (the Core Dataset). These proteins have been characterized with Gene Ontology, InterPro, Novartis Atlas, OMIM, and immunoassay-based concentration determinations. The database permits examination of many other subsets, such as 1274 proteins identified with three or more peptides. Reverse protein to DNA matching identified proteins for 118 previously unidentified ORFs. We recommend use of plasma instead of serum, with EDTA (or citrate) for anticoagulation. To improve resolution, sensitivity and reproducibility of peptide identifications and protein matches, we recommend combinations of depletion, fractionation, and MS/MS technologies, with explicit criteria for evaluation of spectra, use of search algorithms, and integration of homologous protein matches. This Special Issue of PROTEOMICS presents papers integral to the collaborative analysis plus many reports of supplementary work on various aspects of the PPP workplan. These PPP results on complexity, dynamic range, incomplete sampling, false-positive matches, and integration of diverse datasets for plasma and serum proteins lay a foundation for development and validation of circulating protein biomarkers in health and disease.
795 citations
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NEC1
TL;DR: In this paper, a superconducting phase of C60 doped with caesium and rubidium was reported, which has the highest transition temperature Tc and the largest diamagnetic shielding found so far for the alkali-metal-doped compounds.
Abstract: THE synthesis of macroscopic quantities1,2 of the fullerenes C60 and C70 has led to discoveries of several unusual properties3–10, in particular the high conductivity3 and superconductivity4–6 of alkali-metal-doped phases. Here we report a superconducting phase of C60 doped with caesium and rubidium, which has the highest transition temperature Tc and the largest diamagnetic shielding found so far for the alkali-metal-doped compounds. CSxRbyC60 (x = 2 and y = 1 in the dopant feed) exhibits a Tc of 33 K and a diamagnetic shielding of over 60%. This is also the highest Tc yet observed in a molecular superconductor. The vari-ation of Tc with dopant, Tc (KxC60) [18 K]< Tc (RbxC60) [∼29 K]< Tc (CsxRbyC60) [33 K], supports the interpretation that the transi-tion temperature of these fullerides is determined mainly by the density of states at the Fermi level.
779 citations
Authors
Showing all 33297 results
Name | H-index | Papers | Citations |
---|---|---|---|
Pulickel M. Ajayan | 176 | 1223 | 136241 |
Xiaodong Wang | 135 | 1573 | 117552 |
S. Shankar Sastry | 122 | 858 | 86155 |
Sumio Iijima | 106 | 633 | 101834 |
Thomas W. Ebbesen | 99 | 305 | 70789 |
Kishor S. Trivedi | 95 | 698 | 36816 |
Sharad Malik | 95 | 615 | 37258 |
Shigeo Ohno | 91 | 303 | 28104 |
Adrian Perrig | 89 | 374 | 53367 |
Jan M. Rabaey | 81 | 525 | 36523 |
C. Lee Giles | 80 | 536 | 25636 |
Edward A. Lee | 78 | 462 | 34620 |
Otto Zhou | 74 | 322 | 18968 |
Katsumi Kaneko | 74 | 581 | 28619 |
Guido Groeseneken | 73 | 1074 | 26977 |