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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: In this article, the origin and influence of active sites on supported copper catalysts and their catalytic properties for ethanol conversion were investigated using infrared Fourier transform spectroscopy of adsorbed CO.

97 citations

Journal ArticleDOI
TL;DR: In this article, the influence of pre-treatment methods on the chemical composition, as well as on the subsequent reactions of enzymatic hydrolysis and oxidation of cellulose was studied.

97 citations

Journal ArticleDOI
TL;DR: In this paper, the magnetic hyperfine field (mhf) acting on a 181 Ta probe dilutely substituted at the non-magnetic transition element site has been investigated in the Heusler alloys Co 2 VGa, Co 2 NbGa and Co 2 TaAl by TDPAC measurements utilizing the 133-482 keV gamma-gamma cascade in 181 Ta following the β − decay of 181 Hf.

97 citations

Journal ArticleDOI
TL;DR: In this paper, the electrical conductivity, morphology, dynamic mechanical, dielectric and rheological properties as well as electromagnetic interference shielding effectiveness (EMI-SE) of poly(styrene-b-ethylene-ran-butylene)-b-styrene) and expanded graphite (EG) or carbon black (CB) composites were evaluated and compared.
Abstract: Electrically conductive polymer composites (ECPCs) based on poly(styrene-b-ethylene-ran-butylene-b-styrene) (SEBS) and expanded graphite (EG) or carbon black (CB) were prepared through melt blending using a torque rheometer equipped with a mixing chamber. Variations in parameters such as temperature, rotation speed and mixing time were investigated in order to define the most suitable processing conditions. The processing parameters investigated did not exert significant influence on the electrical conductivity for SEBS/EG composites, except for the mixture processed at 230 °C and 150 rpm for 15 min. On the other hand, it can be stated that the conductivity of the SEBS/CB depends on the processing temperature and mixing time. The electrical conductivity, morphology, dynamic mechanical, dielectric and rheological properties as well as electromagnetic interference shielding effectiveness (EMI-SE) of the SEBS/EG and SEBS/CB composites prepared under the same processing conditions were evaluated and compared. The insulator–conductor transition of SEBS/CB was very sharp and the electrical percolation threshold at room temperature was about 5 wt.% of CB, which was significantly lower than that of 9 wt.% for SEBS/EG composites. It was also observed that EMI SE value depends on its electrical conductivity. The EMI SE acceptable value for SEBS/CB composite with 15 wt.% of CB indicates that this materials are promising candidates for shielding applications.

97 citations

Journal ArticleDOI
01 Jun 2019-Ecology
TL;DR: The ATLANTIC BIRD TRAITS (ABT) is the most comprehensive data set on measurements of bird morphological traits found in a biodiversity hotspot; it provides data for basic and applied research at multiple scales, from individual to community, and from the local to the macroecological perspectives.
Abstract: Scientists have long been trying to understand why the Neotropical region holds the highest diversity of birds on Earth. Recently, there has been increased interest in morphological variation between and within species, and in how climate, topography, and anthropogenic pressures may explain and affect phenotypic variation. Because morphological data are not always available for many species at the local or regional scale, we are limited in our understanding of intra- and interspecies spatial morphological variation. Here, we present the ATLANTIC BIRD TRAITS, a data set that includes measurements of up to 44 morphological traits in 67,197 bird records from 2,790 populations distributed throughout the Atlantic forests of South America. This data set comprises information, compiled over two centuries (1820-2018), for 711 bird species, which represent 80% of all known bird diversity in the Atlantic Forest. Among the most commonly reported traits are sex (n = 65,717), age (n = 63,852), body mass (n = 58,768), flight molt presence (n = 44,941), molt presence (n = 44,847), body molt presence (n = 44,606), tail length (n = 43,005), reproductive stage (n = 42,588), bill length (n = 37,409), body length (n = 28,394), right wing length (n = 21,950), tarsus length (n = 20,342), and wing length (n = 18,071). The most frequently recorded species are Chiroxiphia caudata (n = 1,837), Turdus albicollis (n = 1,658), Trichothraupis melanops (n = 1,468), Turdus leucomelas (n = 1,436), and Basileuterus culicivorus (n = 1,384). The species recorded in the greatest number of sampling localities are Basileuterus culicivorus (n = 243), Trichothraupis melanops (n = 242), Chiroxiphia caudata (n = 210), Platyrinchus mystaceus (n = 208), and Turdus rufiventris (n = 191). ATLANTIC BIRD TRAITS (ABT) is the most comprehensive data set on measurements of bird morphological traits found in a biodiversity hotspot; it provides data for basic and applied research at multiple scales, from individual to community, and from the local to the macroecological perspectives. No copyright or proprietary restrictions are associated with the use of this data set. Please cite this data paper when the data are used in publications or teaching and educational activities.

97 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