Institution
University of São Paulo
Education•São Paulo, Brazil•
About: University of São Paulo is a education organization based out in São Paulo, Brazil. It is known for research contribution in the topics: Population & Context (language use). The organization has 136513 authors who have published 272320 publications receiving 5127869 citations. The organization is also known as: USP & Universidade de São Paulo.
Topics: Population, Context (language use), Medicine, Health care, Immune system
Papers published on a yearly basis
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TL;DR: 1 year of adjuvant trastuzumab after chemotherapy for patients with HER2-positive early breast cancer significantly improves long-term disease-free survival, compared with observation.
701 citations
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University of Göttingen1, City College of New York2, University of São Paulo3, University of Toronto4, University of Erlangen-Nuremberg5, Aalborg University6, Greifswald University Hospital7, Spaulding Rehabilitation Hospital8, Medical University of South Carolina9, University of Pennsylvania10, Technische Universität Ilmenau11, University of Oldenburg12, École Polytechnique Fédérale de Lausanne13, Paris 12 Val de Marne University14, University of New South Wales15, University of Aberdeen16, University of Trento17, University of Lisbon18, University of Kiel19, Technical University of Dortmund20, Ruhr University Bochum21, Ludwig Maximilian University of Munich22, Beth Israel Deaconess Medical Center23, Mannheim University of Applied Sciences24, University of Siena25, The Catholic University of America26, University College London27, University of Copenhagen28, Fukushima Medical University29, Massachusetts Institute of Technology30, University of Tübingen31
TL;DR: Structured interviews are provided and recommend their use in future controlled studies, in particular when trying to extend the parameters applied, to discuss recent regulatory issues, reporting practices and ethical issues.
699 citations
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01 Jan 1992-Journal of Comparative Physiology A-neuroethology Sensory Neural and Behavioral Physiology
TL;DR: In this article, the spectral sensitivity functions of single photoreceptor cells in 43 different hymenopteran species were measured intracellularly with the fast spectral scan method, and the predicted colour discriminability curves differ in their relative height of best discriminating ability in the UV-blue or bluegreen area of the spectrum, indicating that relatively small differences in the S(λ) functions may have considerable effects on colour discrimINability.
Abstract: Spectral sensitivity functions S(λ) of single photoreceptor cells in 43 different hymenopteran species were measured intracellularly with the fast spectral scan method. The distribution of maximal sensitivity values (λmax) shows 3 major peaks at 340 nm, 430 nm and 535 nm and a small peak at 600 nm. Predictions about the colour vision systems of the different hymenopteran species are derived from the spectral sensitivities by application of a receptor model of colour vision and a model of two colour opponent channels. Most of the species have a trichromatic colour vision system. Although the S(λ) functions are quite similar, the predicted colour discriminability curves differ in their relative height of best discriminability in the UV-blue or bluegreen area of the spectrum, indicating that relatively small differences in the S(λ) functions may have considerable effects on colour discriminability. Four of the hymenopteran insects tested contain an additional R-receptor with maximal sensitivity around 600 nm. The R-receptor of the solitary bee Callonychium petuniae is based on a pigment (P596) with a long λmax, whereas in the sawfly Tenthredo campestris the G-receptor appears to act as filter to a pigment (P570), shifting its λmax value to a longer wavelength and narrowing its bandwidth. Evolutionary and life history constraints (e.g. phylogenetic relatedness, social or solitary life, general or specialized feeding behaviour) appear to have no effect on the S(λ) functions. The only effect is found in UV receptors, for which λmax values at longer wavelengths are found in bees flying predominantly within the forest.
699 citations
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TL;DR: These guidelines are a consensus work of a considerable number of members of the immunology and flow cytometry community providing the theory and key practical aspects offlow cytometry enabling immunologists to avoid the common errors that often undermine immunological data.
Abstract: These guidelines are a consensus work of a considerable number of members of the immunology and flow cytometry community. They provide the theory and key practical aspects of flow cytometry enabling immunologists to avoid the common errors that often undermine immunological data. Notably, there are comprehensive sections of all major immune cell types with helpful Tables detailing phenotypes in murine and human cells. The latest flow cytometry techniques and applications are also described, featuring examples of the data that can be generated and, importantly, how the data can be analysed. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid, all written and peer-reviewed by leading experts in the field, making this an essential research companion.
698 citations
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Universidade Federal de Lavras1, Lancaster University2, Museu Paraense Emílio Goeldi3, Empresa Brasileira de Pesquisa Agropecuária4, Cornell University5, University of Canberra6, Arthur Rylah Institute for Environmental Research7, Escola Superior de Agricultura Luiz de Queiroz8, Federal University of Pará9, Universidade Federal de Viçosa10, National Institute for Space Research11, University of Exeter12, University of São Paulo13, Universidade Federal de Mato Grosso14, Stockholm Environment Institute15, International Institute of Minnesota16
TL;DR: In this article, the authors used a large data set of plants, birds and dung beetles (1,538, 460 and 156 species, respectively) sampled in 36 catchments in the Brazilian state of Para.
Abstract: Concerted political attention has focused on reducing deforestation, and this remains the cornerstone of most biodiversity conservation strategies. However, maintaining forest cover may not reduce anthropogenic forest disturbances, which are rarely considered in conservation programmes. These disturbances occur both within forests, including selective logging and wildfires, and at the landscape level, through edge, area and isolation effects. Until now, the combined effect of anthropogenic disturbance on the conservation value of remnant primary forests has remained unknown, making it impossible to assess the relative importance of forest disturbance and forest loss. Here we address these knowledge gaps using a large data set of plants, birds and dung beetles (1,538, 460 and 156 species, respectively) sampled in 36 catchments in the Brazilian state of Para. Catchments retaining more than 69–80% forest cover lost more conservation value from disturbance than from forest loss. For example, a 20% loss of primary forest, the maximum level of deforestation allowed on Amazonian properties under Brazil’s Forest Code, resulted in a 39–54% loss of conservation value: 96–171% more than expected without considering disturbance effects. We extrapolated the disturbance-mediated loss of conservation value throughout Para, which covers 25% of the Brazilian Amazon. Although disturbed forests retained considerable conservation value compared with deforested areas, the toll of disturbance outside Para’s strictly protected areas is equivalent to the loss of 92,000–139,000 km2 of primary forest. Even this lowest estimate is greater than the area deforested across the entire Brazilian Amazon between 2006 and 2015 (ref. 10). Species distribution models showed that both landscape and within-forest disturbances contributed to biodiversity loss, with the greatest negative effects on species of high conservation and functional value. These results demonstrate an urgent need for policy interventions that go beyond the maintenance of forest cover to safeguard the hyper-diversity of tropical forest ecosystems.
698 citations
Authors
Showing all 138091 results
Name | H-index | Papers | Citations |
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George M. Whitesides | 240 | 1739 | 269833 |
Peter Libby | 211 | 932 | 182724 |
Robert C. Nichol | 187 | 851 | 162994 |
Paul M. Thompson | 183 | 2271 | 146736 |
Terrie E. Moffitt | 182 | 594 | 150609 |
Douglas R. Green | 182 | 661 | 145944 |
Richard B. Lipton | 176 | 2110 | 140776 |
Robin M. Murray | 171 | 1539 | 116362 |
George P. Chrousos | 169 | 1612 | 120752 |
David A. Bennett | 167 | 1142 | 109844 |
Barry M. Popkin | 157 | 751 | 90453 |
David H. Adams | 155 | 1613 | 117783 |
Joao Seixas | 153 | 1538 | 115070 |
Matthias Egger | 152 | 901 | 184176 |
Ichiro Kawachi | 149 | 1216 | 90282 |