Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Sara Martino"'
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 11, Pp 2087-2100 (2024)
Abstract Modern methods for quantifying, predicting and mapping species distributions have played a crucial part in biodiversity conservation. Occupancy models have become a popular choice for analysing species occurrence data due to their ability to
Externí odkaz:
https://doaj.org/article/e66342dbb0f84ffca2e5cc2097d69223
Autor:
Daniela Silvia Pace, Greta Panunzi, Antonella Arcangeli, Stefano Moro, Giovanna Jona-Lasinio, Sara Martino
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
Assessing the distribution of marine apex–predators is pivotal to understanding community interactions and defining management goals. However, several challenges arise in both estimates and predictions considering the distinctive and mutable biolog
Externí odkaz:
https://doaj.org/article/e34a303e32834a2294797dad47e932a2
Autor:
Baptiste François, Sara Martino, Lena S. Tøfte, Benoit Hingray, Birger Mo, Jean-Dominique Creutin
Publikováno v:
Energies, Vol 10, Iss 2, p 227 (2017)
Thanks to its huge water storage capacity, Norway has an excess of energy generation at annual scale, although significant regional disparity exists. On average, the Mid-Norway region has an energy deficit and needs to import more electricity than it
Externí odkaz:
https://doaj.org/article/d4d91f1a96bb4ec4a95333a60a803ae6
Autor:
Monica Terracciano, Simas Račkauskas, Andrea Patrizia Falanga, Sara Martino, Giovanna Chianese, Francesca Greco, Gennaro Piccialli, Guido Viscardi, Luca De Stefano, Giorgia Oliviero, Nicola Borbone, Ilaria Rea
Publikováno v:
International Journal of Molecular Sciences
Volume 24
Issue 5
Pages: 4449
Volume 24
Issue 5
Pages: 4449
In this study, we fabricated three different ZnO tetrapodal nanostructures (ZnO-Ts) by a combustion process and studied their physicochemical properties by different techniques to evaluate their potentiality for label-free biosensing purposes. Then,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3a51e1e8ca792199439a6649af0f28d
https://hdl.handle.net/11588/913558
https://hdl.handle.net/11588/913558
Autor:
Sara Martino, Chiara Tammaro, Gabriella Misso, Michela Falco, Marianna Scrima, Marco Bocchetti, Ilaria Rea, Luca De Stefano, Michele Caraglia
Publikováno v:
International Journal of Molecular Sciences. 24:7762
MicroRNA (miRNA) are constituted of approximately 22 nucleotides and play an important role in the regulation of many physiological functions and diseases. In the last 10 years, an increasing interest has been recorded in studying the expression prof
Publikováno v:
Environmetrics. 33
Autor:
Andrea Riebler, Sara Martino
Publikováno v:
Wiley StatsRef: Statistics Reference
This is a short description and basic introduction to the Integrated nested Laplace approximations (INLA) approach. INLA is a deterministic paradigm for Bayesian inference in latent Gaussian models (LGMs) introduced in Rue et al. (2009). INLA relies
Publikováno v:
Environmetrics. 33(4)
When a new environmental policy or a specific intervention is taken in order to improve air quality, it is paramount to assess and quantify-in space and time-the effectiveness of the adopted strategy. The lockdown measures taken worldwide in 2020 to
Publikováno v:
Accident; analysis and prevention. 167
Multinomial logit models have been widely used in the analysis of categorical crash data. When the regional information of the data is available, the dependence structure needs to be incorporated into the model to accommodate for spatial heterogeneit
Publikováno v:
Journal of Agricultural Biological and Environmental Statistics
A new method is proposed for modelling the yearly maxima of sub-daily precipitation, with the aim of producing spatial maps of return level estimates. Yearly precipitation maxima are modelled using a Bayesian hierarchical model with a latent Gaussian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1a0123c05053134d2105803c9896125
http://arxiv.org/abs/2105.09062
http://arxiv.org/abs/2105.09062