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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.


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Journal ArticleDOI
TL;DR: The current data suggest that MPc has oxidative-stress-inducing potential in fish, and that gills and white muscle are the most sensitive organs of B. cephalus, with poor antioxidant potentials.
Abstract: Methyl parathion (MP) is an organophosphorus insecticide used worldwide in agriculture and aquaculture due to its high activity against a broad spectrum of insect pests. The effect of a single exposure to 2 mg L − 1 of a commercial formulation of MP (MPc: Folisuper 600®, MP 600 g L − 1 ) on catalase (CAT), glutathione peroxidase (GPx), superoxide dismutase (SOD), glutathione S -transferase (GST), reduced glutathione (GSH) and lipid peroxidation (LPO) of the liver, white muscle and gills of Brycon cephalus was evaluated after 96 h of treatment. MPc exposure resulted in a significant induction of SOD, CAT and GST activity in all tissues. However, the GPx activity decreased significantly in white muscle and gills, whereas no alterations were observed in hepatic GPx activity. MPc also induced a significant increase in LPO values in the white muscle and gills, while hepatic LPO levels did not show any significant alteration. The current data suggest that MPc has oxidative-stress-inducing potential in fish, and that gills and white muscle are the most sensitive organs of B. cephalus , with poor antioxidant potentials. The various parameters studied in this investigation can also be used as biomarkers of exposure to MPc.

356 citations

Journal ArticleDOI
TL;DR: Commercial chitosan underwent quaternization processes and both (mother polymer and derivative) were evaluated, in gel form, against Staphylococcus aureus and Escherichia coli, as model bacteria, with results that differ between materials.
Abstract: Chitosan is largely known for its activity against a wide range of microorganisms, in which the most acceptable antimicrobial mechanism is found to include the presence of charged groups in the polymer backbone and their ionic interactions with bacteria wall constituents. This interaction suggests the occurrence of a hydrolysis of the peptidoglycans in the microorganism wall, provoking the leakage of intracellular electrolytes, leading the microorganism to death. The charges present in chitosan chains are generated by protonation of amino groups when in acid medium or they may be introduced via structural modification. This latter can be achieved by a methylation reaction resulting in a quaternized derivative with a higher polymeric charge density. Since the charges in this derivative are permanents, it is expected a most efficient antimicrobial activity. Hence, in the present study, commercial chitosan underwent quaternization processes and both (mother polymer and derivative) were evaluated, in gel form, against Staphylococcus aureus (Gram-positive) and Escherichia coli (Gram-negative), as model bacteria. The results, as acquired from turbidity measurements, differ between materials with an expressive reduction on the Gram-positive microorganism (S. aureus) growth, while E. coli (Gram-negative) strain was less sensitive to both polymers. Additionally, the antibacterial effectiveness of chitosan was strongly dependent on the concentration, what is discussed in terms of spatial polymer conformation.

355 citations

Journal ArticleDOI
TL;DR: In this paper, an evaluation of hydration and thermal decomposition of HAlg and its sodium salt is described using thermogravimetry and differential scanning calorimetry (DSC).
Abstract: An evaluation of hydration and thermal decomposition of HAlg and its sodium salt is described using thermogravimetry (TG) and differential scanning calorimetry (DSC). TG curves in N2 and air, were obtained for alginic acid showed two decomposition steps attributed to loss of water and polymer decomposition respectively. The sodium alginate decomposed in three steps. The first attributed to water loss, followed by the formation of a carbonaceous residue and finally the Na2CO3. DSC curves presented peaks in agreement with the TG data. In the IR alginic acid presented bands at 1730 and 1631 cm-1, while sodium alginate presented a doublet at 1614 e 1431 cm-1, evidencing the presence of salified carboxyl groups.

353 citations

Journal ArticleDOI
Ronald P. de Vries1, Robert Riley2, Ad Wiebenga1, Guillermo Aguilar-Osorio3, Sotiris Amillis4, Cristiane Uchima, Gregor Anderluh, Mojtaba Asadollahi5, Marion Askin6, Marion Askin7, Kerrie Barry2, Evy Battaglia1, Özgür Bayram8, Özgür Bayram9, Tiziano Benocci1, Susanna A. Braus-Stromeyer9, Camila Caldana, David Cánovas10, David Cánovas11, Gustavo C. Cerqueira12, Fusheng Chen13, Wanping Chen13, Cindy Choi2, Alicia Clum2, Renato Augusto Corrêa dos Santos, André Damasio14, George Diallinas4, Tamás Emri5, Erzsébet Fekete5, Michel Flipphi5, Susanne Freyberg9, Antonia Gallo15, Christos Gournas16, Rob Habgood17, Matthieu Hainaut18, María Harispe19, Bernard Henrissat20, Bernard Henrissat18, Bernard Henrissat21, Kristiina Hildén22, Ryan Hope17, Abeer Hossain23, Eugenia Karabika24, Eugenia Karabika25, Levente Karaffa5, Zsolt Karányi5, Nada Kraševec, Alan Kuo2, Harald Kusch9, Kurt LaButti2, Ellen Lagendijk6, Alla Lapidus2, Alla Lapidus26, Anthony Levasseur18, Erika Lindquist2, Anna Lipzen2, Antonio F. Logrieco15, Andrew MacCabe27, Miia R. Mäkelä22, Iran Malavazi28, Petter Melin29, Vera Meyer30, Natalia Mielnichuk31, Natalia Mielnichuk10, Márton Miskei5, Ákos Molnár5, Giuseppina Mulè15, Chew Yee Ngan2, Margarita Orejas27, Erzsébet Orosz5, Erzsébet Orosz1, Jean Paul Ouedraogo32, Jean Paul Ouedraogo6, Karin M. Overkamp, Hee-Soo Park33, Giancarlo Perrone15, François Piumi18, François Piumi20, Peter J. Punt6, Arthur F. J. Ram6, Ana Ramón34, Stefan Rauscher35, Eric Record18, Diego Mauricio Riaño-Pachón, Vincent Robert1, Julian Röhrig35, Roberto Ruller, Asaf Salamov2, Nadhira Salih36, Nadhira Salih17, Rob Samson1, Erzsébet Sándor5, Manuel Sanguinetti34, Tabea Schütze30, Tabea Schütze6, Kristina Sepčić37, Ekaterina Shelest38, Gavin Sherlock39, Vicky Sophianopoulou, Fabio M. Squina, Hui Sun2, Antonia Susca15, Richard B. Todd40, Adrian Tsang32, Shiela E. Unkles24, Nathalie van de Wiele1, Diana van Rossen-Uffink6, Juliana Velasco de Castro Oliveira, Tammi Camilla Vesth41, Jaap Visser1, Jae-Hyuk Yu42, Miaomiao Zhou1, Mikael Rørdam Andersen41, David B. Archer17, Scott E. Baker43, Isabelle Benoit1, Isabelle Benoit32, Axel A. Brakhage44, Gerhard H. Braus9, Reinhard Fischer35, Jens Christian Frisvad41, Gustavo H. Goldman45, Jos Houbraken1, Berl R. Oakley46, István Pócsi5, Claudio Scazzocchio47, Claudio Scazzocchio48, Bernhard Seiboth49, Patricia A. vanKuyk1, Patricia A. vanKuyk6, Jennifer R. Wortman12, Paul S. Dyer17, Igor V. Grigoriev2 
Utrecht University1, United States Department of Energy2, National Autonomous University of Mexico3, National and Kapodistrian University of Athens4, University of Debrecen5, Leiden University6, Commonwealth Scientific and Industrial Research Organisation7, Maynooth University8, University of Göttingen9, University of Seville10, University of Natural Resources and Life Sciences, Vienna11, Broad Institute12, Huazhong Agricultural University13, State University of Campinas14, International Sleep Products Association15, Université libre de Bruxelles16, University of Nottingham17, Aix-Marseille University18, Pasteur Institute19, Institut national de la recherche agronomique20, King Abdulaziz University21, University of Helsinki22, University of Amsterdam23, University of St Andrews24, University of Ioannina25, Saint Petersburg State University26, Spanish National Research Council27, Federal University of São Carlos28, Swedish University of Agricultural Sciences29, Technical University of Berlin30, National Scientific and Technical Research Council31, Concordia University32, Kyungpook National University33, University of the Republic34, Karlsruhe Institute of Technology35, University of Sulaymaniyah36, University of Ljubljana37, Leibniz Association38, Stanford University39, Kansas State University40, Technical University of Denmark41, University of Wisconsin-Madison42, Pacific Northwest National Laboratory43, University of Jena44, University of São Paulo45, University of Kansas46, Université Paris-Saclay47, Imperial College London48, Vienna University of Technology49
TL;DR: In this article, a comparative genomics and experimental study of the aspergilli genus is presented, which allows for the first time a genus-wide view of the biological diversity of the Aspergillus and in many, but not all, cases linked genome differences to phenotype.
Abstract: Background: The fungal genus Aspergillus is of critical importance to humankind. Species include those with industrial applications, important pathogens of humans, animals and crops, a source of potent carcinogenic contaminants of food, and an important genetic model. The genome sequences of eight aspergilli have already been explored to investigate aspects of fungal biology, raising questions about evolution and specialization within this genus. Results: We have generated genome sequences for ten novel, highly diverse Aspergillus species and compared these in detail to sister and more distant genera. Comparative studies of key aspects of fungal biology, including primary and secondary metabolism, stress response, biomass degradation, and signal transduction, revealed both conservation and diversity among the species. Observed genomic differences were validated with experimental studies. This revealed several highlights, such as the potential for sex in asexual species, organic acid production genes being a key feature of black aspergilli, alternative approaches for degrading plant biomass, and indications for the genetic basis of stress response. A genome-wide phylogenetic analysis demonstrated in detail the relationship of the newly genome sequenced species with other aspergilli. Conclusions: Many aspects of biological differences between fungal species cannot be explained by current knowledge obtained from genome sequences. The comparative genomics and experimental study, presented here, allows for the first time a genus-wide view of the biological diversity of the aspergilli and in many, but not all, cases linked genome differences to phenotype. Insights gained could be exploited for biotechnological and medical applications of fungi.

349 citations

Journal ArticleDOI
TL;DR: Dutra et al. as discussed by the authors examined 263 relativistic-mean-field (RMF) models in a comparable approach and provided a new insight into application of RMF models to properties of nuclear matter and brought into focus their problematic proliferation.
Abstract: Background: The microscopic composition and properties of infinite hadronic matter at a wide range of densities and temperatures have been subjects of intense investigation for decades. The equation of state (EoS) relating pressure, energy density, and temperature at a given particle number density is essential for modeling compact astrophysical objects such as neutron stars, core-collapse supernovae, and related phenomena, including the creation of chemical elements in the universe. The EoS depends not only on the particles present in the matter, but, more importantly, also on the forces acting among them. Because a realistic and quantitative description of infinite hadronic matter and nuclei from first principles in not available at present, a large variety of phenomenological models has been developed in the past several decades, but the scarcity of experimental and observational data does not allow a unique determination of the adjustable parameters.Purpose: It is essential for further development of the field to determine the most realistic parameter sets and to use them consistently. Recently, a set of constraints on properties of nuclear matter was formed and the performance of 240 nonrelativistic Skyrme parametrizations was assessed [M. Dutra et al., Phys. Rev. C 85, 035201 (2012)] in describing nuclear matter up to about three times nuclear saturation density. In the present work we examine 263 relativistic-mean-field (RMF) models in a comparable approach. These models have been widely used because of several important aspects not always present in nonrelativistic models, such as intrinsic Lorentz covariance, automatic inclusion of spin, appropriate saturation mechanism for nuclear matter, causality, and, therefore, no problems related to superluminal speed of sound in medium.Method: Three different sets of constraints related to symmetric nuclear matter, pure neutron matter, symmetry energy, and its derivatives were used. The first set (SET1) was the same as used in assessing the Skyrme parametrizations. The second and third sets (SET2a and SET2b) were more suitable for analysis of RMF and included, up-to-date theoretical, experimental and empirical information.Results: The sets of updated constraints (SET2a and SET2b) differed somewhat in the level of restriction but still yielded only 4 and 3 approved RMF models, respectively. A similarly small number of approved Skyrme parametrizations were found in the previous study with Skyrme models. An interesting feature of our analysis has been that the results change dramatically if the constraint on the volume part of the isospin incompressibility $({K}_{\ensuremath{\tau},\mathrm{v}})$ is eliminated. In this case, we have 35 approved models in SET2a and 30 in SET2b.Conclusions: Our work provides a new insight into application of RMF models to properties of nuclear matter and brings into focus their problematic proliferation. The assessment performed in this work should be used in future applications of RMF models. Moreover, the most extensive set of refined constraints (including nuclear matter and finite-nuclei-related properties) should be used in future determinations of new parameter sets to provide models that can be used with more confidence in a wide range of applications. Pointing to reasons for the many failures, even of the frequently used models, should lead to their improvement and to the identification of possible missing physics not included in present energy density functionals.

347 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