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Institution

University of Tsukuba

EducationTsukuba, Ibaraki, Japan
About: University of Tsukuba is a education organization based out in Tsukuba, Ibaraki, Japan. It is known for research contribution in the topics: Population & Gene. The organization has 36352 authors who have published 79483 publications receiving 1934752 citations. The organization is also known as: Tsukuba daigaku & Tsukuba University.


Papers
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Journal ArticleDOI
TL;DR: The JACC (Japan Collaborative Cohort Study for Evaluation of Ca... as discussed by the authors reported ω-3 Polyunsaturated Fatty Acids and Mortality From Cardiovascular Diseases in a Nationwide Community-Based Cohort of Japanese.

258 citations

Journal ArticleDOI
TL;DR: This article covers the development and assessment of the SMAP Level 2 Enhanced Passive Soil Moisture Product (L2_SM_P_E) and affirmed that the Single Channel Algorithm using the V-polarized TB channel (SCA-V) delivered the best retrieval performance among the various algorithms implemented for L2-SM-P, a result similar to a previous assessment.

258 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of atomic substitutions in the FeSe system, which exhibits the simplest crystal structure among the iron-based superconductors, was investigated, and an enhancement of the superconducting transition temperature was observed with substitution of S or Te for Se; the Tc increased with S substitution by up to 20 %, and also increased with Te substitution up to 75 %.
Abstract: We have investigated the effect of atomic substitutions in the FeSe system, which exhibits the simplest crystal structure among the iron-based superconductors. An enhancement of the superconducting transition temperature Tc was observed with the substitution of S or Te for Se; the Tc increased with S substitution by up to 20 %, and also increased with Te substitution up to 75 %. In contrast, Co or Ni substitutions for the Fe site significantly suppressed superconductivity. In this work we present a detailed description of the substitution technique employed to determine Tc in the FeSe system.

258 citations

Journal ArticleDOI
TL;DR: The forkhead box O transcription factors convert a variety of external stimuli, including growth factors, nutrients, and oxidative stress, into diverse biological responses through modulation of specific gene expression, and two distinct mechanisms: post-translational modifications and protein-protein interactions are achieved.

258 citations

Proceedings Article
23 Apr 2012
TL;DR: Two ways to detect entailment using distributional semantic representations of phrases are introduced and nominal and quantifier phrase entailment appears to be cued by different distributional correlates, as predicted by the type-based view of entailment in formal semantics.
Abstract: We introduce two ways to detect entailment using distributional semantic representations of phrases. Our first experiment shows that the entailment relation between adjective-noun constructions and their head nouns (big cat|= cat), once represented as semantic vector pairs, generalizes to lexical entailment among nouns (dog|= animal). Our second experiment shows that a classifier fed semantic vector pairs can similarly generalize the entailment relation among quantifier phrases (many dogs|= some dogs) to entailment involving unseen quantifiers (all cats|= several cats). Moreover, nominal and quantifier phrase entailment appears to be cued by different distributional correlates, as predicted by the type-based view of entailment in formal semantics.

258 citations


Authors

Showing all 36572 results

NameH-indexPapersCitations
Aaron R. Folsom1811118134044
Kazuo Shinozaki178668128279
Hyun-Chul Kim1764076183227
Masayuki Yamamoto1711576123028
Hua Zhang1631503116769
Lewis L. Lanier15955486677
David Cella1561258106402
Takashi Taniguchi1522141110658
Yoshio Bando147123480883
Kazuhiko Hara1411956107697
Janet Rossant13841671913
Christoph Paus1371585100801
Kohei Miyazono13551568706
Craig Blocker134137994195
Fumihiko Ukegawa133149294465
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023104
2022323
20214,079
20203,887
20193,515
20183,388