Institution
Federal University of São Carlos
Education•São 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.
Topics: Population, Microstructure, Context (language use), Catalysis, Alloy
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a hydrotalcite-like layered double hydroxide structure ([Mg-Al]-LDH) for phosphate fertilization was investigated. And the mechanism of controlled phosphate release from the structure was investigated, which resulted in a phosphorus content of around 40 mg·g-1 LDH, which was higher than previously reported for related fertilizers.
Abstract: A route is proposed to produce a hydrotalcite-like layered double hydroxide structure ([Mg-Al]-LDH) for phosphate fertilization. The mechanism of controlled phosphate release from the structure was investigated. The preparation strategy resulted in a phosphorus content of around 40 mg·g–1 LDH, which was higher than previously reported for related fertilizers. The release of phosphate into water from [Mg-Al-PO4]-LDH continued over a 10-fold longer period, compared to release from KH2PO4. Analysis using 31P NMR elucidated the nature of the interactions of phosphate with the LDH matrix. In soil experiments, the main interaction of P was with Fe3+, while the Al3+ content of LDH had no effect on immobilization of the nutrient. Assays of wheat (Triticum aestivum) growth showed that [Mg-Al-PO4]-LDH was able to provide the same level of phosphate nutrition as other typical sources during short periods, while maintaining higher availability of phosphate over longer periods. These characteristics confirmed the pote...
82 citations
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TL;DR: In this article, wear resistant highly amorphous Fe 60 Cr 8 Nb 8 B 24 (at.%) coatings of about 280μm thickness were prepared through high velocity oxygen fuel (HVOF) thermal spray process onto API 5L X80 steel substrate.
Abstract: Wear resistant highly amorphous Fe 60 Cr 8 Nb 8 B 24 (at.%) coatings of about 280 μm thickness were prepared through high velocity oxygen fuel (HVOF) thermal spray process onto API 5L X80 steel substrate. Feedstock powders were produced by gas atomization with low purity precursors by modifying AISI 430 stainless steel with additions of niobium (Fe-Nb) and boron (Fe-B). It was found that the coatings were mostly amorphous with some embedded FeNbB and Fe 2 B borides. The formation of a large fraction of amorphous phase was attributed to the high cooling rates of molten droplets combined with a proper powder composition. The average Vickers hardness of the coating (HV 0.3 = 838 ± 23) was about four times higher than that of the API 5L X80 substrate (HV 0.3 = 222 ± 5). The excellent wear resistance of the amorphous coating in the pin-on-disc measurements was attributed to its large fraction of amorphous phase (~ 66%) with reinforcing hard Fe 2 B and FeNbB borides, high Vickers hardness, low oxygen content ( − 5 and 8.5 × 10 − 4 mm 3 ·N − 1 ·m − 1 , respectively). API 5L X80 steel exhibited dominant adhesive wear at low sliding speed and oxidative wear at high sliding speed. HVOF coatings presented oxidative wear regardless of the sliding speed.
82 citations
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TL;DR: It was demonstrated that the digestion procedures are critically dependent on reactions occurring in liquid and gas phase and that the formation of NO and its conversion to NO2 by O2 exerts a major effect in the oxidation of organic matter.
82 citations
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TL;DR: In this paper, X-ray diffraction (XRD) results show that this niobate nucleates from the amorphous precursor, with no intermediate phases, at low temperature (500 °C).
82 citations
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24 Sep 2018
TL;DR: The first reference corpus in this area for Portuguese is introduced, composed of aligned true and fake news, which is analyzed to uncover some of their linguistic characteristics, showing that good results may be achieved.
Abstract: Fake news are a problem of our time. They may influence a large number of people on a wide range of subjects, from politics to health. Although they have always existed, the volume of fake news has recently increased due to the soaring number of users of social networks and instant messengers. These news may cause direct losses to people and corporations, as fake news may include defamation of people, products and companies. Moreover, the scarcity of labeled datasets, mainly in Portuguese, prevents training classifiers to automatically filter such documents. In this paper, we investigate the issue for the Portuguese language. Inspired by previous initiatives for other languages, we introduce the first reference corpus in this area for Portuguese, composed of aligned true and fake news, which we analyze to uncover some of their linguistic characteristics. Then, using machine learning techniques, we run some automatic detection methods in this corpus, showing that good results may be achieved.
82 citations
Authors
Showing all 16693 results
Name | H-index | Papers | Citations |
---|---|---|---|
Akihisa Inoue | 126 | 2652 | 93980 |
Michael R. Hamblin | 117 | 899 | 59533 |
Daniel P. Costa | 89 | 531 | 26309 |
Elson Longo | 86 | 1454 | 40494 |
Ross Arena | 81 | 671 | 39949 |
Tom M. Mitchell | 76 | 315 | 41956 |
José Arana Varela | 76 | 748 | 23005 |
Luiz H. C. Mattoso | 66 | 455 | 17432 |
Steve F. Perry | 66 | 294 | 13842 |
Edson R. Leite | 63 | 535 | 15303 |
Juan Andrés | 60 | 493 | 13499 |
Edward R. T. Tiekink | 60 | 1967 | 21052 |
Alex A. Freitas | 60 | 345 | 14789 |
Mary F. Mahon | 59 | 539 | 14258 |
Osvaldo N. Oliveira | 59 | 614 | 16369 |