Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Alessio, Pollice"'
Autor:
Lorena Ricciotti, Alessio Pollice
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 110909- (2024)
The dataset collects and harmonizes financial data about public works in Italy, focusing on soil defence investments. The data are sourced from three distinct platforms: the Italian Ministry of Economics and Finance's open data platform OpenBDAP, the
Externí odkaz:
https://doaj.org/article/b9629d69848c4873b0ba272888764b31
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 5, p 740 (2024)
Modelling sea conditions is a complex task that requires a comprehensive analysis, considering various influencing factors. Observed and unobserved factors jointly play a role in the definition of sea conditions. Here, we consider finite mixtures of
Externí odkaz:
https://doaj.org/article/8a839de7eb5f4cd88cb8e502236c6ec4
Autor:
Gianluca Mancini, Gianluca Mastrantonio, Alessio Pollice, Giovanna Jona Lasinio, Andrea Belluscio, Edoardo Casoli, Daniela Silvia Pace, Giandomenico Ardizzone, Daniele Ventura
Publikováno v:
Ecological Indicators, Vol 150, Iss , Pp 110209- (2023)
Over the last century, P. oceanica meadows have undergone significant regression along Mediterranean coasts due to anthropogenic disturbances. Using an integrated approach based on historical aerial photography interpretation in GIS environment and B
Externí odkaz:
https://doaj.org/article/82c7a41e77654558a8d38d8f77b8f079
Autor:
Chiara Zecca, Giuseppe Pasculli, Rosanna Tortelli, Maria Teresa Dell’Abate, Rosa Capozzo, Maria Rosaria Barulli, Roberta Barone, Miriam Accogli, Serena Arima, Alessio Pollice, Vincenzo Brescia, Giancarlo Logroscino
Publikováno v:
Frontiers in Aging Neuroscience, Vol 13 (2021)
Beta-amyloid (Aβ) plaques have been observed in the brain of healthy elderlies with frequencies strongly influenced by age. The aim of the study is to evaluate the role of age and other biochemical and hematological parameters on Aβ1–42 plasma le
Externí odkaz:
https://doaj.org/article/97f77c8868fc43b2a7f444100f980733
Autor:
Chiara Zecca, Maria Teresa Dell’Abate, Giuseppe Pasculli, Rosa Capozzo, Roberta Barone, Serena Arima, Alessio Pollice, Vincenzo Brescia, Rosanna Tortelli, Giancarlo Logroscino
Publikováno v:
Journal of Cellular and Molecular Medicine. 26:3608-3615
The phosphorylated neurofilament heavy chain (pNfH) is a promising biomarker in amyotrophic lateral sclerosis (ALS). We examined plasma pNfH concentrations in order to corroborate its role as a diagnostic and prognostic biomarker in ALS. Incident ALS
Autor:
Alessio Pollice, Giovanna Jona Lasinio, Livia Pappalettere, Giovanni Vannacci, Sabrina Sarrocco
Publikováno v:
Plant Pathology. 70:1146-1157
Autor:
Simona Arcuti, Crescenza Calculli, Alessio Pollice, Gianfranco D’Onghia, Porzia Maiorano, Angelo Tursi
Publikováno v:
Statistica, Vol 73, Iss 1, Pp 87-101 (2013)
In theMediterrean Sea the population features of demersal resources fluctuate over spatial and temporal scales due to the variability of abiotic and biotic factors as well as to human activities. The two shrimps Parapenaeus longirostris and Aristaeom
Externí odkaz:
https://doaj.org/article/0e98474bfa8c4bbb9e515be8834385ff
Autor:
Mariana Amato, Giovanni Bitella, Borja Millan, Manuel Oliveira, Maria-Paz Diago, Alessio Pollice, Roberta Rossi, Javier Tardaguila
Publikováno v:
Sensors, Vol 13, Iss 1, Pp 1121-1136 (2013)
Spatial information on vineyard soil properties can be useful in precision viticulture. In this paper a combination of high resolution soil spatial information of soil electrical resistivity (ER) and ancillary topographic attributes, such as elevatio
Externí odkaz:
https://doaj.org/article/3354e0db7b964c4187e293829be131d3
Publikováno v:
Environmental Science and Engineering ISBN: 9783031092695
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16ddb7587f7fb3dc7ada294da7d59118
https://doi.org/10.1007/978-3-031-09270-1_4
https://doi.org/10.1007/978-3-031-09270-1_4
Autor:
Alessio Pollice, Massimo Bilancia
Publikováno v:
Statistica, Vol 62, Iss 3, Pp 405-429 (2007)
In this paper the effectiveness of the use of mixed effects models for estimation and prediction purposes in spatial statistics for continuous data is reviewed in the classical and Bayesian frameworks. A case study on agricultural data is also provid
Externí odkaz:
https://doaj.org/article/11699d3483a249d289a9ce67cff8a077