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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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Proceedings ArticleDOI
18 Apr 2015
TL;DR: This paper extensively evaluates the effectiveness of using a user's social media activities for estimating degree of depression, and extracts several features from the activity histories of Twitter users to construct models for estimating the presence of active depression.
Abstract: In this paper, we extensively evaluate the effectiveness of using a user's social media activities for estimating degree of depression. As ground truth data, we use the results of a web-based questionnaire for measuring degree of depression of Twitter users. We extract several features from the activity histories of Twitter users. By leveraging these features, we construct models for estimating the presence of active depression. Through experiments, we show that (1) features obtained from user activities can be used to predict depression of users with an accuracy of 69%, (2) topics of tweets estimated with a topic model are useful features, (3) approximately two months of observation data are necessary for recognizing depression, and longer observation periods do not contribute to improving the accuracy of estimation for current depression; sometimes, longer periods worsen the accuracy.

259 citations

Journal ArticleDOI
TL;DR: This study performed a total genome search to identify the location of a familial moyamoya disease gene in 16 families, assuming an unknown mode of inheritance, and found a linkage was found between the disease and markers located at 3p24.2-26.
Abstract: Summary Moyamoya disease is characterized by bilateral stenosis and/or occlusion of the terminal portion of the internal carotid artery. Moyamoya disease is prevalent among patients

259 citations

Journal ArticleDOI
Fumio Abe1, D. Amidei2, Giorgio Apollinari3, G. Ascoli4  +227 moreInstitutions (17)
TL;DR: The Collider Detector at Fermilab (CDF) as mentioned in this paper is a 5000 t magnetic detector built to study 2 TeV p p collisions at the Fermielab Tevatron, which is based on charged particle tracking, magnetic momentum analysis and fine-grained calorimetry.
Abstract: The Collider Detector at Fermilab (CDF) is a 5000 t magnetic detector built to study 2 TeV p p collisions at the Fermilab Tevatron. Event analysis is based on charged particle tracking, magnetic momentum analysis and fine-grained calorimetry. The combined electromagnetic and hadron calorimetry has approximately uniform granularity in rapidity-azimuthal angle and extends down to 2° from the beam direction. Various tracking chambers cover the calorimeter acceptance and extend charged particle tracking down to 2 mrad from the beam direction. Charged particle momenta are analyzed in a 1.5 T solenoidal magnetic field, generated by a superconducting coil which is 3 m in diameter and 5 m in length. The central tracking chamber measures particle momenta with a resolution better then δpT/pT2 = 2 × 10−3 (GeV/c)−1 in the region 40°

259 citations

Journal ArticleDOI
TL;DR: It is demonstrated that a class B basic helix-loop-helix (bHLH) transcription factor neurogenin3 (ngn3) is expressed specifically in A(s), A(pr), and A(al) spermatogonia because ngn3 is expressed in c-Kit negative sperMatogonia throughout the seminiferous cycle.

259 citations

Proceedings Article
01 May 2000
TL;DR: LREC2000: the 2nd International Conference on Language Resources and Evaluation, May 31 - June 2, 2000, Athens, Greece.
Abstract: LREC2000: the 2nd International Conference on Language Resources and Evaluation, May 31 - June 2, 2000, Athens, Greece.

259 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