Institution
Mitsubishi
Company•Tokyo, Japan•
About: Mitsubishi is a company organization based out in Tokyo, Japan. It is known for research contribution in the topics: Layer (electronics) & Signal. The organization has 53115 authors who have published 54821 publications receiving 870150 citations. The organization is also known as: Mitsubishi Group of Companies & Mitsubishi Companies.
Papers published on a yearly basis
Papers
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24 Jul 2011TL;DR: Validation study of the trial and beta version of GDEM version 2 was carried out to investigate its characteristics such as geolocation error, elevation error and horizontal resolution, and confirmed that elevation offset and horizontalresolution will be greatly improved in version 2.
Abstract: The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) was released to the public in July 2009. The GDEM version 2, currently under development, is reproduced using an updated algorithm and contains new ASTER data observed after September 2008. Validation study of the trial and beta version of GDEM version 2 was carried out to investigate its characteristics such as geolocation error, elevation error and horizontal resolution. The results of the study confirmed that elevation offset and horizontal resolution will be greatly improved in version 2 and the enhanced horizontal resolution will serve to reduce the standard deviation of elevation and geolocation error.
441 citations
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TL;DR: The solid electrolyte interface (SEI) formation on composite graphite and highly oriented pyrolytic graphite in a vinylene carbonate (VC)-containing electrolyte was analyzed using evolved gas analysis, Fourier transform infrared analysis, two-dimensional nuclear magnetic resonance, X-ray photoelectron spectroscopy, time of flight secondary ion mass spectrometry, and scanning electron microscopy.
Abstract: The solid electrolyte interface (SEI) formation on composite graphite and highly oriented pyrolytic graphite in a vinylene carbonate (VC)-containing electrolyte was analyzed using evolved gas analysis, Fourier transform infrared analysis, two-dimensional nuclear magnetic resonance, X-ray photoelectron spectroscopy, time of flight-secondary-ion mass spectrometry, and scanning electron microscopy We found that the SEI layers derived from VC-containing electrolytes consist of polymer species such as poly (vinylene carbonate) (poly(VC)), an oligomer of VC, a ring-opening polymer of VC, and polyacetylene Moreover, lithium vinylene dicarbonate, (CHOCO 2 Li) 2 , lithium divinylene dicarbonate, (CH=CHOCO 2 Li) 2 , lithium divinylene dialkoxide, (CH=CHOLi) 2 , and lithium carboxylate, RCOOLi, were formed on graphite as VC reduction products The presence of VC in the ethylene carbonate (EC)-based electrolyte caused a decrease in the reductive gases of the EC dimethyl carbonate solvent such as C 2 H 4 , CH 4 , and CO The VC-derived SEI layer was formed at a potential more positive than 10 V vs Li/Li + Effective SEI formation by reduction of VC progresses before that of EC The thermal decomposition temperature of the SEI layer derived from VC shifted to a higher temperature compared to that derived from the VC-free electrolytes We concluded that the thermal stability of the VC-derived SEI layer has a close relation to high-temperature storage characteristics at elevated temperatures
435 citations
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TL;DR: The results suggest a direct interaction between the cytoplasmic domains of these two presynaptic membrane proteins that could have an important role in the targeting and docking of synaptic vesicles near N-type calcium channels, enabling tight structural and functional association of calcium entry sites and neurotransmitter release sites.
435 citations
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TL;DR: The model proposed is a convolutive version of the nonnegative matrix factorization algorithm, which is very well suited for intuitively and efficiently representing magnitude spectra and its application on simultaneous speakers separation from monophonic recordings is presented.
Abstract: In this paper, we present a convolutive basis decomposition method and its application on simultaneous speakers separation from monophonic recordings. The model we propose is a convolutive version of the nonnegative matrix factorization algorithm. Due to the nonnegativity constraint this type of coding is very well suited for intuitively and efficiently representing magnitude spectra. We present results that reveal the nature of these basis functions and we introduce their utility in separating monophonic mixtures of known speakers
429 citations
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TL;DR: It is suggested that rat hippocampal neurons undergo programmed cell death in response to amyloid beta-protein and that TPK I is a key enzyme in this process.
Abstract: Pathological changes of Alzheimer disease are characterized by cerebral cortical atrophy as a result of degeneration and loss of neurons. Typical histological lesions include numerous senile plaques composed of deposits of amyloid beta-protein and neurofibrillary tangles consisting predominantly of ubiquitin and highly phosphorylated tau proteins. Previously, tau protein kinase I (TPK I) was purified and its cDNA was cloned. To examine the biological role of this enzyme in neurons, we have studied the induction of its kinase activity in primary cultures of embryonic rat hippocampal neurons. Treatment of cultures with amyloid beta-protein significantly increased TPK I activity and induced the appearance of tau proteins recognized by the Alz-50 monoclonal antibody. In addition, though amyloid beta-protein was neurotoxic, either cycloheximide or actinomycin D prevented neuronal death. Death was also prevented by TPK I antisense oligonucleotides but not by sense oligonucleotides. These observations suggest that rat hippocampal neurons undergo programmed cell death in response to amyloid beta-protein and that TPK I is a key enzyme in this process.
427 citations
Authors
Showing all 53117 results
Name | H-index | Papers | Citations |
---|---|---|---|
Thomas S. Huang | 146 | 1299 | 101564 |
Kazunari Domen | 130 | 908 | 77964 |
Kozo Kaibuchi | 129 | 493 | 60461 |
Yoshimi Takai | 122 | 680 | 61478 |
William T. Freeman | 113 | 432 | 69007 |
Tadayuki Takahashi | 112 | 932 | 57501 |
Takashi Saito | 112 | 1041 | 52937 |
H. Vincent Poor | 109 | 2116 | 67723 |
Qi Tian | 96 | 1030 | 41010 |
Andreas F. Molisch | 96 | 777 | 47530 |
Takeshi Sakurai | 95 | 492 | 43221 |
Akira Kikuchi | 93 | 412 | 28893 |
Markus Gross | 91 | 588 | 32881 |
Eiichi Nakamura | 90 | 845 | 31632 |
Michael Wooldridge | 87 | 543 | 50675 |