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Institution

Federal University of São Carlos

EducationSão Carlos, Brazil
About: Federal University of São Carlos is a education organization based out in São Carlos, Brazil. It is known for research contribution in the topics: Population & Microstructure. The organization has 16471 authors who have published 34057 publications receiving 456654 citations. The organization is also known as: UFSCar & Federal University of São Carlos.


Papers
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Journal ArticleDOI
TL;DR: It is expected that both the transgenic and the marker-assisted route for Sugarcane improvement will contribute to increased sugar, stress tolerance, and higher yield and that the industry for years to come will be able to rely on sugarcane as the most productive energy crop.

105 citations

Proceedings Article
27 Jul 2011
TL;DR: This work proposes an approach to automatically discovering relevant relations, given a large text corpus plus an initial ontology defining hundreds of noun categories, and concludes this is a useful approach to semi-automatic extension of the ontology for large-scale information extraction systems such as NELL.
Abstract: Traditional approaches to Relation Extraction from text require manually defining the relations to be extracted. We propose here an approach to automatically discovering relevant relations, given a large text corpus plus an initial ontology defining hundreds of noun categories (e.g., Athlete, Musician, Instrument). Our approach discovers frequently stated relations between pairs of these categories, using a two step process. For each pair of categories (e.g., Musician and Instrument) it first co-clusters the text contexts that connect known instances of the two categories, generating a candidate relation for each resulting cluster. It then applies a trained classifier to determine which of these candidate relations is semantically valid. Our experiments apply this to a text corpus containing approximately 200 million web pages and an ontology containing 122 categories from the NELL system [Carlson et al., 2010b], producing a set of 781 proposed candidate relations, approximately half of which are semantically valid. We conclude this is a useful approach to semi-automatic extension of the ontology for large-scale information extraction systems such as NELL.

105 citations

Journal ArticleDOI
TL;DR: In this article, the phase diagram of the spin-3/2 Blume-Capel model in two dimensions is explored by conventional finite-size scaling, conformal invariance and Monte Carlo simulations.
Abstract: The phase diagram of the spin-3/2 Blume-Capel model in two dimensions is explored by conventional finite-size scaling, conformal invariance and Monte Carlo simulations. The model in its $\tau$-continuum Hamiltonian version is also considered and compared with others spin-3/2 quantum chains. Our results indicate that differently from the standard spin-1 Blume-Capel model there is no multicritical point along the order-disorder transition line. This is in qualitative agreement with mean field prediction but in disagreement with previous approximate renormalization group calculations. We also presented new results for the spin-1 Blume-Capel model.

105 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present an experimental analysis of the confinement effects in steel-concrete composite columns regarding two parameters: concrete compressive strength and column slenderness, compared to the predictions of 4 code provisions: the Brazilian Code NBR 8800:2008, Eurocode 4 (EN 1994-1-1:2004), AINSI/AISC 360:2005, and CAN/CSA S16-01:2001.

105 citations

Journal ArticleDOI
TL;DR: Stability tests of the electrodes showed that they are suitable for use in the electrochemical treatment of phenol wastewaters.

105 citations


Authors

Showing all 16693 results

NameH-indexPapersCitations
Akihisa Inoue126265293980
Michael R. Hamblin11789959533
Daniel P. Costa8953126309
Elson Longo86145440494
Ross Arena8167139949
Tom M. Mitchell7631541956
José Arana Varela7674823005
Luiz H. C. Mattoso6645517432
Steve F. Perry6629413842
Edson R. Leite6353515303
Juan Andrés6049313499
Edward R. T. Tiekink60196721052
Alex A. Freitas6034514789
Mary F. Mahon5953914258
Osvaldo N. Oliveira5961416369
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202365
2022371
20212,710
20202,728
20192,435
20182,346