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Institution

Sao Paulo State University

EducationSão Paulo, Brazil
About: Sao Paulo State University is a education organization based out in São Paulo, Brazil. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 55715 authors who have published 100436 publications receiving 1375332 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors proposed the term Bauru Group which is constituted by the following four Formations: 1) Caiua Formation: fine to medium sandstone with regular to good sorting and purple color,bearing large cross stratification; occurrence limited to the Pontal do Paranapanema region; it is in unconformity over basalts of the Serra Geral Formation.
Abstract: Mapping survey over 135,000 km 2 in the State of Sao Paulo, made by Departamento de Aguas e Energia Eletrica do Estado de Sao Paulo(DAEE) in cooperation with other organisations, allowed the stratigraphical characterization of the Cretaceous rocks younger than Serra Geral Formation (lower Cretaceous) in that region. Due to the regional stratigraphical analysis of these sediments is proposed for them the term Bauru Group which is constituted by the following four Formations: 1) Caiua Formation: fine to medium sandstone with regular to good sorting and purple color,bearing large cross stratification; occurrence limited to the Pontal do Paranapanema region; it is in unconformity over basalts of the Serra Geral Formation. 2) Santo Anastacio Formation: very fine to medium sandstone, red to purple colors; low angle cross stratifications to horizontal bedding, with rare mudstone beds intercalated; occurrence mainly in southwestern portion of Sao Paulo State; gradational over Caiua Formation and with discordance over basalts. 3) Adamantina Formation: a) Aracatuba lithofacies - thick beds of mudstones, dark brown to greenish grey colors, with variations to siltstones and claystones; restricted occurrence in the southwestern portion of Sao Paulo State and wide one in the western and northwestern portion of the State; overlying Santo Anastacio Formation and Serra Geral Formation; b) Taciba lithofacies - beds of very fine to fine sandstones, with small to large size cross stratifications, intercalated with beds of reddish to brownish sandy mudstones; incipient lamination and sandstone lens; wide occurrence from south to the north of the State over Santo Anastacio Formation (south), Aracatuba lithofacies (west, and northwest) and basalts (northeast); c) Ubirajara Formation - coarser sandstones than that one from Taciba lithofacies, textural and mineralogical imatures, with occurrence in mid-east portion of the State over basalts, lateral gradation to Taciba lithofacies toward west and north. 4) Marilia Formation: coarse to conglomeratic sandstones plentiful of calciferous cement and nodules; occurrence in the wathersheds of the principal drainages in Sao Paulo State inland. The contact relationship and regional distribution of the stratigraphic unities suggest a partial contemporaneous deposition in a complex fluvial system, with regional and chronological variations in the clastic affluence, in the climatic characteristics, in the subsidence ratio and in the marginal areas uplift rate.

185 citations

01 Jan 2007
TL;DR: A review on the most common phenols in plants as well as the main methodologies to be employed for identifying and quantifying those compounds in foods can be found in this paper.
Abstract: Phenolic compounds are chemical structures that are composed of hydroxyls and aromatic rings, in a simple or polymery forms, which confer antioxidant characteristic. These products can be natural or synthetic. Phenolic compounds may be found in vegetables, and in free form or bound to sugars and proteins. Among them, flavonoids, phenolic acids, tannins, and tocopherols are pointed out as the most common natural source of anti-oxidant phenolics. Taking into account of the importance of phenolic antioxidants, this study presents a review on the most common phenols in plants as well as the main methodologies to be employed for identifying and quantifying those compounds in foods. Furthermore, it is still under the necessity of a systematic investigation for performing phenolic sample preparation and for determining phenolic compounds in foods, since the methodologies currently used for analyzing phenolic component have not been totally standardized, and have not been made public by official organizations.

185 citations

Journal ArticleDOI
TL;DR: In this article, the authors presented an analysis on the total width of the recently discovered Higgs boson, Gamma[H], using its relative on-shell and off-shell production and decay rates to a pair of Z bosons, where one Z boson decays to an electron or muon pair, and the other to a neutrino pair.

185 citations

Journal ArticleDOI
TL;DR: There was no significant difference between observed and calculated methods of determining the beginning of follicle deviation, and the size at which the DF acquires ovulatory capacity in B. indicus heifers.

185 citations

Journal ArticleDOI
TL;DR: It is demonstrated that network topological features, cellular localization and biological process information are reliable predictors of essential genes and by constructing decision trees based on these data, one could discover cellular rules governing essentiality.
Abstract: Background The identification of essential genes is important for the understanding of the minimal requirements for cellular life and for practical purposes, such as drug design. However, the experimental techniques for essential genes discovery are labor-intensive and time-consuming. Considering these experimental constraints, a computational approach capable of accurately predicting essential genes would be of great value. We therefore present here a machine learning-based computational approach relying on network topological features, cellular localization and biological process information for prediction of essential genes.

184 citations


Authors

Showing all 56201 results

NameH-indexPapersCitations
Russel J. Reiter1691646121010
Tobin J. Marks1591621111604
Joseph T. Hupp14173182647
Luca Lista1402044110645
Sergio F Novaes1381559101941
Wagner Carvalho135139594184
Alberto Santoro1351576100629
Andre Sznajder134146498242
Luiz Mundim133141389792
Eduardo De Moraes Gregores133145492464
Helio Nogima132127484368
Pedro G Mercadante129133186378
D. De Jesus Damiao128116282707
Sandra S. Padula128113177174
Sudha Ahuja127101675739
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023127
2022765
20216,826
20206,949
20196,316
20186,314