scispace - formally typeset
Search or ask a question
Institution

Tohoku University

EducationSendai, Japan
About: Tohoku University is a education organization based out in Sendai, Japan. It is known for research contribution in the topics: Magnetization & Population. The organization has 72116 authors who have published 170791 publications receiving 3941714 citations. The organization is also known as: Tōhoku daigaku.


Papers
More filters
Journal ArticleDOI
Jennifer K. Adelman-McCarthy1, Marcel A. Agüeros2, S. Allam1, S. Allam3  +163 moreInstitutions (54)
TL;DR: The Fifth Data Release (DR5) of the Sloan Digital Sky Survey (SDSS) was released in 2005 June and represents the completion of the SDSS-I project as mentioned in this paper, which includes five-band photometric data for 217 million objects selected over 8000 deg 2 and 1,048,960 spectra of galaxies, quasars, and stars selected from 5713 deg 2 of imaging data.
Abstract: This paper describes the Fifth Data Release (DR5) of the Sloan Digital Sky Survey (SDSS). DR5 includes all survey quality data taken through 2005 June and represents the completion of the SDSS-I project (whose successor, SDSS-II, will continue through mid-2008). It includes five-band photometric data for 217 million objects selected over 8000 deg^2 and 1,048,960 spectra of galaxies, quasars, and stars selected from 5713 deg^2 of that imaging data. These numbers represent a roughly 20% increment over those of the Fourth Data Release; all the data from previous data releases are included in the present release. In addition to "standard" SDSS observations, DR5 includes repeat scans of the southern equatorial stripe, imaging scans across M31 and the core of the Perseus Cluster of galaxies, and the first spectroscopic data from SEGUE, a survey to explore the kinematics and chemical evolution of the Galaxy. The catalog database incorporates several new features, including photometric redshifts of galaxies, tables of matched objects in overlap regions of the imaging survey, and tools that allow precise computations of survey geometry for statistical investigations.

811 citations

Proceedings ArticleDOI
21 Apr 2008
TL;DR: A general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from large-scale data collections that is general enough to be applied to different data domains and genres ranging from Web search results to medical text.
Abstract: This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from large-scale data collections. The main motivation of this work is that many classification tasks working with short segments of text & Web, such as search snippets, forum & chat messages, blog & news feeds, product reviews, and book & movie summaries, fail to achieve high accuracy due to the data sparseness. We, therefore, come up with an idea of gaining external knowledge to make the data more related as well as expand the coverage of classifiers to handle future data better. The underlying idea of the framework is that for each classification task, we collect a large-scale external data collection called "universal dataset", and then build a classifier on both a (small) set of labeled training data and a rich set of hidden topics discovered from that data collection. The framework is general enough to be applied to different data domains and genres ranging from Web search results to medical text. We did a careful evaluation on several hundred megabytes of Wikipedia (30M words) and MEDLINE (18M words) with two tasks: "Web search domain disambiguation" and "disease categorization for medical text", and achieved significant quality enhancement.

808 citations

Journal ArticleDOI
Kazunori Akiyama, Antxon Alberdi1, Walter Alef2, Keiichi Asada3  +259 moreInstitutions (62)
TL;DR: In this article, a large library of models based on general relativistic magnetohydrodynamic (GRMHD) simulations and synthetic images produced by GRS was constructed and compared with the observed visibilities.
Abstract: The Event Horizon Telescope (EHT) has mapped the central compact radio source of the elliptical galaxy M87 at 1.3 mm with unprecedented angular resolution. Here we consider the physical implications of the asymmetric ring seen in the 2017 EHT data. To this end, we construct a large library of models based on general relativistic magnetohydrodynamic (GRMHD) simulations and synthetic images produced by general relativistic ray tracing. We compare the observed visibilities with this library and confirm that the asymmetric ring is consistent with earlier predictions of strong gravitational lensing of synchrotron emission from a hot plasma orbiting near the black hole event horizon. The ring radius and ring asymmetry depend on black hole mass and spin, respectively, and both are therefore expected to be stable when observed in future EHT campaigns. Overall, the observed image is consistent with expectations for the shadow of a spinning Kerr black hole as predicted by general relativity. If the black hole spin and M87's large scale jet are aligned, then the black hole spin vector is pointed away from Earth. Models in our library of non-spinning black holes are inconsistent with the observations as they do not produce sufficiently powerful jets. At the same time, in those models that produce a sufficiently powerful jet, the latter is powered by extraction of black hole spin energy through mechanisms akin to the Blandford-Znajek process. We briefly consider alternatives to a black hole for the central compact object. Analysis of existing EHT polarization data and data taken simultaneously at other wavelengths will soon enable new tests of the GRMHD models, as will future EHT campaigns at 230 and 345 GHz.

808 citations

Journal ArticleDOI
20 Jul 2012-ACS Nano
TL;DR: High resolution scanning transmission electron microscope (STEM) imaging reveals the coexistence of metallic and semiconducting phases within the chemically homogeneous two-dimensional MoS(2) nanosheets, suggesting potential for exploiting molecular scale electronic device designs in atomically thin 2D layers.
Abstract: Nanoscale heterostructures with quantum dots, nanowires, and nanosheets have opened up new routes toward advanced functionalities and implementation of novel electronic and photonic devices in reduced dimensions. Coherent and passivated heterointerfaces between electronically dissimilar materials can be typically achieved through composition or doping modulation as in GaAs/AlGaAs and Si/NiSi or heteroepitaxy of lattice matched but chemically distinct compounds. Here we report that single layers of chemically exfoliated MoS2 consist of electronically dissimilar polymorphs that are lattice matched such that they form chemically homogeneous atomic and electronic heterostructures. High resolution scanning transmission electron microscope (STEM) imaging reveals the coexistence of metallic and semiconducting phases within the chemically homogeneous two-dimensional (2D) MoS2 nanosheets. These results suggest potential for exploiting molecular scale electronic device designs in atomically thin 2D layers.

808 citations


Authors

Showing all 72477 results

NameH-indexPapersCitations
John Q. Trojanowski2261467213948
Aaron R. Folsom1811118134044
Marc G. Caron17367499802
Masayuki Yamamoto1711576123028
Kenji Watanabe1672359129337
Rodney S. Ruoff164666194902
Frederik Barkhof1541449104982
Takashi Taniguchi1522141110658
Yoshio Bando147123480883
Thomas P. Russell141101280055
Ali Khademhosseini14088776430
Marco Colonna13951271166
David H. Barlow13378672730
Lin Gu13086856157
Yoichiro Iwakura12970564041
Network Information
Related Institutions (5)
Osaka University
185.6K papers, 5.1M citations

97% related

Nagoya University
128.2K papers, 3.2M citations

97% related

University of Tokyo
337.5K papers, 10.1M citations

97% related

Hokkaido University
115.4K papers, 2.6M citations

96% related

Kyoto University
217.2K papers, 6.5M citations

96% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023162
2022754
20216,412
20206,426
20196,076
20185,898