OPEN EDUCATIONAL RESOURCES

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Found 6 from your keywords: author="Ferraro"
cover
Chapter Rethinking Learning Practices in the Covid-Era: Indications for Teach…
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Iavarone, Maria LuisaFerraro, Francesco Vincenzo

The pandemic produced changes in the organisation of the socioeconomic tissue. The educational system, in particular, underwent a forced reconsideration of classrooms’ space and time. To preserve inclusivity and wellbeing and to compensate for the lack of bodycognitive experiences, our research team worked with the educational systems before and during the pandemic, providing educators wit…

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9791221501513
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10
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Chapter Renaturalization interventions within a regional forest complex locat…
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Ferraro, FrancescoLongo, AntonioRugge, Cristina

The spontaneous vegetation of the Alimini district (south Italy) is represented by plant communities that vary in relation to geology and distance from the coastline: garrigue, scrub, scrub forest and Holm Oak forest, reforestation of Pinus halepensis and Pinus pinea.

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9791221500301
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11
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Buildings for Education
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Ferraro

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9783030336875
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9783030336875
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Materialising the Future A Learning Path to Understand, Develop and Apply Em…
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FERRARO, VenereKAARIAINEN, PirjoCAMO, Paz MorerPASOLD, Anke

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ISBN/ISSN
978-3-031-25206-8
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978-3-031-25206-8
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ICS Materials Interactive, connected, and smart materials
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VALENTINA, RognoliVENERE, Ferraro

This present book covers a series of outstanding reputation researchers’ contributions on the topic of ICS Materials: a new class of emerging materials with properties and qualities concerning interactivity, connectivity and intelligence. In the general framework of ICS Materials’ domain, each chapter deals with a specific aspect following the characteristic perspective of each researcher. …

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ISBN/ISSN
9788835115649
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Chapter Longitudinal profile of a set of biomarkers in predicting Covid-19 mo…
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PASQUALE, FerranteMATTEO, Di MasoMONICA, FerraroniSERENA, DelbueFEDERICO, Ambrog

In survival analysis, time-varying covariates are endogenous when their measurements are directly related to the event status and incomplete information occur at random points during the follow-up. Consequently, the time-dependent Cox model leads to biased estimates. Joint models (JM) allow to correctly estimate these associations combining a survival and longitudinal sub-models by means of a s…

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ISBN/ISSN
9788855184618
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