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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, a laser induced breakdown spectroscopy (LIBS) system has been evaluated for the determination of macronutrients (P, K, Ca, Mg) in pellets of vegetal reference materials.

125 citations

Journal ArticleDOI
TL;DR: In this paper, the authors applied laser-induced breakdown spectroscopy (LIBS) for the direct analysis of 80 metal samples (alloys and steel) for multivariate and univariate regression models, aiming at the determination of 10 analytes (Al, Cr, Cu, Fe, Mn, Mo, Ni, Ti, V and Zn).
Abstract: This study applies laser-induced breakdown spectroscopy (LIBS) for the direct analysis of 80 metal samples (alloys and steel) for multivariate and univariate regression models, aiming at the determination of 10 analytes (Al, Cr, Cu, Fe, Mn, Mo, Ni, Ti, V and Zn). To optimize the LIBS system, the Doehlert design was used for energy, delay time and spot size adjustment for all samples and analytes. Twelve normalization modes were used to reduce the interference matrix and to improve the calibration models, with error values ranging from 0.27% (Mn) to 14% (Cu and Ni). Models without normalization presented two- to five-fold higher errors. In addition to quantification, classification models (KNN, SIMCA and PLS-DA) were also proposed for sample differentiation. Multivariate and univariate models presented similar performance, and among the classification models, KNN presented the best results, with an accuracy of 100%.

124 citations

Journal ArticleDOI
TL;DR: The data proves that pollution of the Douro River estuary by pharmaceuticals is consistent and is occurring in a fairly constant manner in time, covering a wide area and displaying hot-spots, and supports the need for experimental studies on toxicological impacts on aquatic organisms at environmentally relevant concentrations.

124 citations

Proceedings ArticleDOI
01 Jun 2016
TL;DR: StArt is a tool that has been continuously developed such that new features are often available to improve the support for the SR process, and the StArt online community can improve the interaction among users, facilitating the identification of improvements and new useful features.
Abstract: Context: Systematic Review (SR) is a methodology used to find and aggregate relevant existing evidence about a specific research topic of interest. It can be very time-consuming depending on the number of gathered studies that need to be analyzed by researchers. One of the relevant tools found in the literature and preliminarily evaluated by researchers of SRs is StArt, which supports the whole SR process. It has been downloaded by users from more than twenty countries. Objective: To present new features available in StArt to support SR activities. Method: Based on users' feedback and the literature, new features were implemented and are available in the tool, like the SCAS strategy, snowballing techniques, the frequency of keywords and a word cloud for search string refining, collaboration among reviewers, and the StArt online community. Results: The new features, according to users' positive feedback, make the tool more robust to support the conduct of SRs. Conclusion: StArt is a tool that has been continuously developed such that new features are often available to improve the support for the SR process. The StArt online community can improve the interaction among users, facilitating the identification of improvements and new useful features.

124 citations

Journal ArticleDOI
TL;DR: An endoglucanase productivity of 57 ± 13 IU/L/h was achieved in bubble column cultivations prepared using the new method, representing an approximately 3-fold improvement compared to conventional submerged fermentation.

124 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