Institution
University of Palermo
Education•Palermo, Italy•
About: University of Palermo is a education organization based out in Palermo, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 15621 authors who have published 40250 publications receiving 964384 citations. The organization is also known as: Università degli Studi di Palermo & Universita degli Studi di Palermo.
Topics: Population, Cancer, Catalysis, Diabetes mellitus, Volcano
Papers published on a yearly basis
Papers
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TL;DR: In this article, binary logistic regression (BLR) and stochastic gradient treeboost (SGT) methods were compared in assessing landslide susceptibility within the Mediterranean region for multiple-occurrence regional landslide events.
Abstract: This study aims to compare binary logistic regression (BLR) and stochastic gradient treeboost (SGT) methods in assessing landslide susceptibility within the Mediterranean region for multiple-occurrence regional landslide events. A test area was selected in the north-eastern sector of Sicily (southern Italy) where thousands of debris flows and debris avalanches triggered on the first October 2009 due to an extreme storm. Exploiting the same set of predictors and the 2009 event landslide archive, BLR- and SGT-based susceptibility models have been obtained for the two catchments separately, adopting a random partition (RP) technique for validation. In addition, the models trained in one catchment have been tested in predicting the landslide distribution in the second, adopting a spatial partition (SP)-based validation. The models produced high predictive performances with a general consistency between BLR and SGT in the susceptibility maps, predictor importance and role. In particular, SGT models reached a higher prediction performance with respect to BLR models for RP-modelling, while for the SP-based models, the difference in predictive skills dropped, converging to equally excellent performances. However, analysing the precision of the probability estimates, BLR produced more robust models around the mean value for each pixel, indicating possible overfitting effects, which affect decision trees to a greater extent. The assessment of the predictor roles allowed identifying the activation mechanisms which are primarily controlled by steep south-facing open slopes located near the coastal area. These slopes are characterised by low/middle altitude downhill from mountain tops, having a medium-grade metamorphic bedrock, under grassland and cultivated (terraced) uses.
165 citations
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TL;DR: The addition of alirocumab to rosuvastatin provided incremental LDL-C lowering versus adding ezetimibe or doubling the rosuVastatin dose, and patients with cardiovascular disease and low-density lipoprotein cholesterol achieved risk-based cholesterol targets.
165 citations
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165 citations
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TL;DR: In this article, the authors reviewed the chemical literature dealing with thermodynamic aspects of weak complex formation between alkali and alkaline earth metal ions with low molecular weight inorganic and organic ligands in aqueous solution.
165 citations
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TL;DR: A model of staging for bipolar disorder is proposed that emphasizes the potential use of biomarkers for differentiating early and late-stage BD patients in the inter-episodic period and can inform patients and clinicians about both prognosis and response to treatment.
Abstract: Recent data show that biomarkers differ in early and late-stage bipolar disorder (BD). Here we propose a model of staging for bipolar disorder that emphasizes the potential use of biomarkers for differentiating early and late-stage BD patients in the inter-episodic period. The proposed model includes a Latent phase: patients at "ultra-high-risk" for developing BD, characterized by a family history of BD, temperament traits, mood, and anxiety symptoms as well as genetic vulnerability for developing the disorder; Stage I: patients who return to their baseline level of functioning when mood episodes resolve; Stage II: biomarkers and functioning impairment are related to comorbidities or rapid-cycling presentations; Stage III: persistent cognitive and functioning impairment in the inter-episode period as well as changes in biomarkers; and Stage IV: same findings as in Stage III associated with extreme cognitive and functioning impairment, to the point that patients are unable to live autonomously. Empirical testing will determine the ability of the present model to inform patients and clinicians about both prognosis and response to treatment.
164 citations
Authors
Showing all 15895 results
Name | H-index | Papers | Citations |
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Robin M. Murray | 171 | 1539 | 116362 |
Frede Blaabjerg | 147 | 2161 | 112017 |
Jean Bousquet | 145 | 1288 | 96769 |
Zhanhu Guo | 128 | 886 | 53378 |
Jean Ballet | 115 | 263 | 46301 |
Antonio Facchetti | 111 | 602 | 51885 |
Michele Pagano | 97 | 306 | 42211 |
Frank Z. Stanczyk | 93 | 620 | 30244 |
Eleonora Troja | 91 | 271 | 30873 |
Francesco Sciortino | 90 | 536 | 28956 |
Zev Rosenwaks | 89 | 772 | 32039 |
Antonio Russo | 88 | 934 | 34563 |
Carlo Salvarani | 88 | 730 | 31699 |
Giuseppe Basso | 87 | 643 | 33320 |
Antonio Craxì | 86 | 659 | 39463 |