Institution
University of Florence
Education•Florence, Toscana, Italy•
About: University of Florence is a education organization based out in Florence, Toscana, Italy. It is known for research contribution in the topics: Population & Carbonic anhydrase. The organization has 27292 authors who have published 79599 publications receiving 2341684 citations. The organization is also known as: Università degli studi di Firenze & Universita degli studi di Firenze.
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11 May 2007
TL;DR: Rhizosphere as a site of biochemical interactions among soil, plant and microorganisms type and amounts of compounds released by plants in the rhizosphere the release of exudates as affected by the physiological status of plants (water, physical and nutritional stress).
Abstract: In the rhizosphere, exudates from plants and microorganisms as well as stable soil organic matter influence processes that can control plant growth, microbial infections, and nutrient uptake. As the chemistry and biochemistry of these substances becomes more and more clear, their study promises to shed light on the complex interactions between plan
674 citations
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Hammersmith Hospital1, Imperial College London2, Cancer Research UK3, University College London4, Royal North Shore Hospital5, Flinders University6, Monash University7, Ain Shams University8, French Institute of Health and Medical Research9, Charité10, University of Oldenburg11, Magna Græcia University12, Catholic University of the Sacred Heart13, University of Verona14, Tokyo Medical University15, Aichi Medical University16, King Abdulaziz Medical City17, Seoul National University Hospital18, Keimyung University19, University of Ulsan20, Inje University21, Universidad Francisco de Vitoria22, University of Amsterdam23, VU University Amsterdam24, Istanbul University25, University of Florence26, Conquest Hospital27, University of Exeter28, Anglia Ruskin University29, Emory University30, United States Department of Veterans Affairs31, University of Washington32, Stony Brook University33, Canterbury Christ Church University34, Duke University35, Hospital Clínico San Carlos36, Complutense University of Madrid37
TL;DR: Coronary revascularization guided by iFR was noninferior to revascularizations guided by FFR with respect to the risk of major adverse cardiac events at 1 year.
Abstract: BackgroundCoronary revascularization guided by fractional flow reserve (FFR) is associated with better patient outcomes after the procedure than revascularization guided by angiography alone. It is unknown whether the instantaneous wave-free ratio (iFR), an alternative measure that does not require the administration of adenosine, will offer benefits similar to those of FFR. MethodsWe randomly assigned 2492 patients with coronary artery disease, in a 1:1 ratio, to undergo either iFR-guided or FFR-guided coronary revascularization. The primary end point was the 1-year risk of major adverse cardiac events, which were a composite of death from any cause, nonfatal myocardial infarction, or unplanned revascularization. The trial was designed to show the noninferiority of iFR to FFR, with a margin of 3.4 percentage points for the difference in risk. ResultsAt 1 year, the primary end point had occurred in 78 of 1148 patients (6.8%) in the iFR group and in 83 of 1182 patients (7.0%) in the FFR group (difference i...
672 citations
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TL;DR: Fusion tests at the full scale reveal that an accurate and reliable Pan-sharpening, little affected by local inaccuracies even in the presence of complex and detailed urban landscapes, is achieved by the proposed curvelet-based fusion method.
671 citations
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TL;DR: In this paper, the authors provided a set of normative data on the Mini-Mental State Examination (MMSE) from a random sample of 906 normal, healthy subjects of both sexes, 20 to 79 years of age.
Abstract: We provide a set of normative data on the Mini‐Mental State Examination (MMSE) from a random sample of 906 normal, healthy subjects of both sexes, 20 to 79 years of age. Subjects were selected in six Italian cities and in the Republic of San Marino. Results show the significant influence of sociodemographic variables, such as age and education, on MMSE performance. We used Multiple Linear Regression Analyses to correct MMSE normative values for these demographic effects. The analyses allow us to specify cutoff scores for distinguishing “normal” performance from “borderline” and pathologic performance.
664 citations
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TL;DR: In this paper, the authors compare two general and formal solutions to the problem of fusion of multispectral images with high-resolution panchromatic observations, and compare the results on SPOT data.
Abstract: This paper compares two general and formal solutions to the problem of fusion of multispectral images with high-resolution panchromatic observations. The former exploits the undecimated discrete wavelet transform, which is an octave bandpass representation achieved from a conventional discrete wavelet transform by omitting all decimators and upsampling the wavelet filter bank. The latter relies on the generalized Laplacian pyramid, which is another oversampled structure obtained by recursively subtracting from an image an expanded decimated lowpass version. Both the methods selectively perform spatial-frequencies spectrum substitution from an image to another. In both schemes, context dependency is exploited by thresholding the local correlation coefficient between the images to be merged, to avoid injection of spatial details that are not likely to occur in the target image. Unlike other multiscale fusion schemes, both the present decompositions are not critically subsampled, thus avoiding possible impairments in the fused images, due to missing cancellation of aliasing terms. Results are presented and discussed on SPOT data.
662 citations
Authors
Showing all 27699 results
Name | H-index | Papers | Citations |
---|---|---|---|
Charles A. Dinarello | 190 | 1058 | 139668 |
D. M. Strom | 176 | 3167 | 194314 |
Gregory Y.H. Lip | 169 | 3159 | 171742 |
Christopher M. Dobson | 150 | 1008 | 105475 |
Dirk Inzé | 149 | 647 | 74468 |
Thomas Hebbeker | 148 | 1984 | 114004 |
Marco Zanetti | 145 | 1439 | 104610 |
Richard B. Devereux | 144 | 962 | 116403 |
Gunther Roland | 141 | 1471 | 100681 |
Markus Klute | 139 | 1447 | 104196 |
Tariq Aziz | 138 | 1646 | 96586 |
Guido Tonelli | 138 | 1458 | 97248 |
Giorgio Trinchieri | 138 | 433 | 78028 |
Christof Roland | 137 | 1308 | 96632 |
Christoph Paus | 137 | 1585 | 100801 |