Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Raffaele Lagravinese"'
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
In this work, we explore the extensive utilization of European Union Structural Funds to enhance regional healthcare systems in Italy over the period 2014–2020. These funds serve as vital instruments for financing the construction, renovation, and
Externí odkaz:
https://doaj.org/article/852da35107bb41e0ae5fd371dfe185a3
Autor:
Livia Dainelli, Silvia Delgado-Aros, Raffaele Lagravinese, Giuseppe Massimo Paradiso, Miroslaw Perlinski
Publikováno v:
Clinical Nutrition Open Science, Vol 52, Iss , Pp 128-135 (2023)
Summary: Background & Aims: This systematic review and meta-analysis aims to evaluate the effects on mortality, length of stay in hospital (HLOS) and in intensive care unit (ICU-LOS) of early enteral nutrition (EEN) vs. late enteral nutrition (LEN) o
Externí odkaz:
https://doaj.org/article/b50b4142caec41f1a99acfb183dccc6d
Publikováno v:
Energy Systems.
Publikováno v:
The Journal of Economic Inequality. 18:469-489
This paper proposes the use of a new technique, the Stochastic Multicriteria Acceptability Analysis (SMAA), to evaluate education quality at school level out of the PISA multidimensional database. SMAA produces rankings with Monte Carlo Generation of
This paper investigates the efficiency of Italian hospitals and how their performances have changed over the years 2007–2016, characterized by the great economic recession and budget constraints. We apply the Benefit of Doubt (BoD) approach to dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9ef9a660efdb4d0285b00560688ab6c
http://hdl.handle.net/11386/4779543
http://hdl.handle.net/11386/4779543
Autor:
Giuseppe Coco, Raffaele Lagravinese
Publikováno v:
The Great Reset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3f9dec1729b2e010f7b422c097587c5
https://doi.org/10.11647/obp.0280.13
https://doi.org/10.11647/obp.0280.13
Publikováno v:
Health economicsREFERENCES. 30(12)
Vaccine hesitancy (VH) might represent a serious threat to the next COVID-19 mass immunization campaign. We use machine-learning algorithms to predict communities at a high risk of VH relying on area-level indicators easily available to policymakers.
Publikováno v:
Review of Economics of the Household. 17:1107-1131
In this paper we document the income-related inequality in gambling. We employ a novel database from 2014–2017 waves of the Italian Population Survey on Alcohol and other Drugs (IPSAD) which also include information on the preferences for games of
Publikováno v:
SSRN Electronic Journal.
Since its lethality increases exponentially with age, the early 2020 COVID-19 shock unexpectedly raised the risk of corporate disruption at companies led by older CEOs. While normally unprepared successions might be beneficial by replacing entrenched
Publikováno v:
Università degli studi del Molise-IRIS
In this paper we analyze the predictability of the bankruptcy of 7795 Italian municipalities in the period 2009–2016. The prediction task is extremely hard due to the small number of bankruptcy cases, on which learning is possible. Besides historic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38675f936adca6d4cc8538da43510d4f
http://hdl.handle.net/11695/96058
http://hdl.handle.net/11695/96058