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| 1 | Ku Band Hemispherical Fully Electronic Antenna for Aircraft in Flight Entertainment显示文摘 | Alfredo Catalani Franco Di Paolo Marzia Migliorelli Lino Russo Giovanni Toso Piero Angeletti Stefano Selleri | 2009 | International Journal of Antennas and Propagation2009，，： | 1 |
| 2 | Large deployable reflectors for telecom and earth observation applications显示文摘 | SCIAL1NO L IHLE A MIGLIORELLI M | 2013 | CEAS Space Journal2013，34，5： | 1 |
| 3 | Prevalence and correlates of dysthymia and major depression among patients with Alzheimer's disease显示文摘 | Tesoma A Sabe L | 1995 | Am J Psychiatry1995，152，： | 1 |
| 4 | SPECT find-ings before and after ECT in a patient with major de-pression and Cotard's syndrome显示文摘 | Petracca G Migliorelli R Vazquez S | 1995 | J Neuropsychiatry Clin Neurosci1995，7，4： | 1 |
| 5 | Prevalence and correlates of dysthymia and major depression among pa- tients with Alzheimer' s disease 显示文摘 | Migliorelli R Tes6n A Sabe L | 1995 | Am J Psychiatry1995，152，1： | 1 |
| 6 | Anosognosia in Alzheimer's disease:Astudy of associated factors显示文摘 | Migliorelli R Teson A Sabe L | 1995 | J Neuropsychiatry Clin Neurosci1995，7，： | 1 |
| 7 | Anosognosia in Alzheimer's disease, a study of associated factors显示文摘 | Migliorelli R Teson A Sabe L | 1995 | J Neuropsychiatry Clin Neurosci1995，7，3： | 1 |
| 8 | Semantics of Sexual Violence:The“Imperfect Victims”in the Italian Media显示文摘Starting from an etymological analysis of rape in the Indo-European language family,we want to trace the historical and semantic roots of this lexeme,in order to review its semantic and pragmatic development in the perception of Italian speakers.Our aim is to read and understand the rape victim socio-cultural stigma in collective imagination.It is therefore possible to reconstruct the lexical,socio-semiotic,and narrative domain anticipating the phenomenology of victim blaming,which characterizes the media narratives of sexual violence.The victimological profile,socially expected and culturally accepted,seems to support the original semantic connotation of the Latin word stuprum,that is“corruption of virginity”,“contamination of purity”.Many typical mainstream discourses examined,through special“gender lenses”,provide portraits of imperfect,ambiguous,unreliable victims because they are deemed guilty of not being holy enough. | Alice Migliorelli | 2022 | Journal of Sociology Study2022，12，2： | 0 |
| 9 | Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients显示文摘Background:Accurate risk stratification of critically ill patients with coronavirus disease 2019(COVID-19)is essential for optimizing resource allocation,delivering targeted interventions,and maximizing patient survival probability.Machine learning(ML)techniques are attracting increased interest for the development of prediction models as they excel in the analysis of complex signals in data-rich environments such as critical care.Methods:We retrieved data on patients with COVID-19 admitted to an intensive care unit(ICU)between March and October 2020 from the RIsk Stratification in COVID-19 patients in the Intensive Care Unit(RISC-19-ICU)registry.We applied the Extreme Gradient Boosting(XGBoost)algorithm to the data to predict as a binary out-come the increase or decrease in patients’Sequential Organ Failure Assessment(SOFA)score on day 5 after ICU admission.The model was iteratively cross-validated in different subsets of the study cohort.Results:The final study population consisted of 675 patients.The XGBoost model correctly predicted a decrease in SOFA score in 320/385(83%)critically ill COVID-19 patients,and an increase in the score in 210/290(72%)patients.The area under the mean receiver operating characteristic curve for XGBoost was significantly higher than that for the logistic regression model(0.86 vs.0.69,P<0.01[paired t-test with 95%confidence interval]).Conclusions:The XGBoost model predicted the change in SOFA score in critically ill COVID-19 patients admitted to the ICU and can guide clinical decision support systems(CDSSs)aimed at optimizing available resources. | Jonathan Montomoli Luca Romeo Sara Moccia Michele Bernardini Lucia Migliorelli Daniele Berardini Abele Donati Andrea Carsetti Maria Grazia Bocci Pedro David Wendel Garcia Thierry Fumeaux Philippe Guerci Reto Andreas Schüpbach Can Ince Emanuele Frontoni Matthias Peter Hilty RISC-19-ICU Investigators | 2021 | Journal of Intensive Medicine2021，1，2： | 0 |
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