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Institution

Waseda University

EducationTokyo, Japan
About: Waseda University is a education organization based out in Tokyo, Japan. It is known for research contribution in the topics: Large Hadron Collider & Catalysis. The organization has 24220 authors who have published 46859 publications receiving 837855 citations. The organization is also known as: Waseda daigaku & Sōdai.


Papers
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Journal ArticleDOI
TL;DR: In this article, a well-defined hollow interiors can be created inside Prussian Blue (PB) nanoparticles through controlled chemical etching in the presence of poly(vinylpyrrolidone) (Angew. Chem., Int. Ed.2012, 51, 984).
Abstract: Our recent work has demonstrated that well-defined hollow interiors can be created inside Prussian Blue (PB) nanoparticles through controlled chemical etching in the presence of poly(vinylpyrrolidone) (Angew. Chem., Int. Ed.2012, 51, 984). By calcination of these PB nanoparticles as starting precursors, we can successfully synthesize nanoporous iron oxides with hollow interiors. From scanning electron microscopy (SEM) and transmission electron microscopy (TEM), the original hollow cavities of PB nanocubes are shown to be retained after crystal transformation to iron oxides. Also, the obtained hollow iron oxides show a very high surface area because of their nanoporous shells, as illustrated by N2 gas adsorption–desorption analysis. By tuning the applied calcination temperatures and selecting the PB nanoparticles with different hollow cavities, crystalline α-Fe2O3, and γ-Fe2O3 can be selectively formed in the products without formation of any impurity phases. Field-dependent magnetization measurements indi...

162 citations

Journal ArticleDOI
TL;DR: Computer simulation results indicate, for some signal-to-noise ratios (SNR), that the proposed soft decoding algorithm requires less average complexity than those of the other two algorithms, but the performance of the algorithm is always superior to those ofthe other two.
Abstract: A new soft decoding algorithm for linear block codes is proposed. The decoding algorithm works with any algebraic decoder and its performance is strictly the same as that of maximum-likelihood-decoding (MLD). Since our decoding algorithm generates sets of different candidate codewords corresponding to the received sequence, its decoding complexity depends on the received sequence. We compare our decoding algorithm with Chase (1972) algorithm 2 and the Tanaka-Kakigahara (1983) algorithm in which a similar method for generating candidate codewords is used. Computer simulation results indicate, for some signal-to-noise ratios (SNR), that our decoding algorithm requires less average complexity than those of the other two algorithms, but the performance of ours is always superior to those of the other two. >

162 citations

Journal ArticleDOI
TL;DR: Determination of the number of surface amine groups and optimization of DNA capture condition were demonstrated and performance of PCR for the eluted fraction indicates that DNA extracted from whole blood was well purified using amine-coated microchip.

162 citations

Journal ArticleDOI
TL;DR: In this paper, an unusual magnetic and transport phenomenon in a layered cobalt oxide was reported, where a magnetic transition of the second order was clearly detected at the point where an apparent specific heat jump, an onset of extremely small spontaneous magnetization, and a kink in resistivity came in.
Abstract: Here we report an unconventional magnetic and transport phenomenon in a layered cobalt oxide ${\mathrm{Na}}_{x}{\mathrm{CoO}}_{2}.$ Only for $x=0.75,$ a magnetic transition of the second order was clearly detected at ${T}_{m}\ensuremath{\sim}22\mathrm{K}$ where an apparent specific-heat jump, an onset of extremely small spontaneous magnetization, and a kink in resistivity came in. Moreover large positive magnetoresistance effect was observed below ${T}_{m}.$ These features of the transition strongly indicate the appearance of an unusual electronic state that may be attributed to the strongly correlated electrons in ${\mathrm{Na}}_{0.75}{\mathrm{CoO}}_{2}.$

162 citations

Journal ArticleDOI
A. A. Abdo1, A. A. Abdo2, Markus Ackermann3, Marco Ajello3  +222 moreInstitutions (38)
TL;DR: In this article, the authors report on observations of TeV-selected active galactic nuclei (AGNs) made during the first 55 months of observations with the Large Area Telescope (LAT) on-board the Fermi Gamma-ray Space Telescope (Fermi).
Abstract: We report on observations of TeV-selected active galactic nuclei (AGNs) made during the first 55 months of observations with the Large Area Telescope (LAT) on-board the Fermi Gamma-ray Space Telescope (Fermi) In total, 96 AGNs were selected for study, each being either (1) a source detected at TeV energies (28 sources) or (2) an object that has been studied with TeV instruments and for which an upper limit has been reported (68 objects) The Fermi observations show clear detections of 38 of these TeV-selected objects, of which 21 are joint GeV-TeV sources, and 29 were not in the third EGRET catalog For each of the 38 Fermi-detected sources, spectra and light curves are presented Most can be described with a power law of spectral index harder than 20, with a spectral break generally required to accommodate the TeV measurements Based on an extrapolation of the Fermi spectrum, we identify sources, not previously detected at TeV energies, which are promising targets for TeV instruments Evidence for systematic evolution of the γ-ray spectrum with redshift is presented and discussed in the context of interaction with the extragalactic background light

161 citations


Authors

Showing all 24378 results

NameH-indexPapersCitations
Yusuke Nakamura1792076160313
Yoshio Bando147123480883
Charles Maguire142119795026
Kazunori Kataoka13890870412
Senta Greene134134690697
Intae Yu134137289870
Kohei Yorita131138991177
Wei Xie128128177097
Susumu Kitagawa12580969594
Leon O. Chua12282471612
Jun Kataoka12160354274
S. Youssef12068365110
Katsuhiko Mikoshiba12086662394
Yusuke Yamauchi117100051685
Teruo Okano11747647081
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202380
2022237
20212,347
20202,467
20192,367
20182,289