Výsledky vyhledávání

Microglial Heterogeneity and Its Potential Role in Driving Phenotypic Diversity of Alzheimer’s Disease

Autor: Marcella Catania, Emanuela Maderna, Bernardino Ghetti, Giuseppe Di Fede, Stefano Sorrentino, Giorgio Giaccone, R Ascari, Fabrizio Tagliavini

Publikováno v: International Journal of Molecular Sciences
Volume 22
Issue 5
International Journal of Molecular Sciences, Vol 22, Iss 2780, p 2780 (2021)

Alzheimer’s disease (AD) is increasingly recognized as a highly heterogeneous disorder occurring under distinct clinical and neuropathological phenotypes. Despite the molecular determinants of such variability not being well defined yet, microglial

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f9fcb261eb7b9677de1a1e62a806fe6

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Eutrophic status influences the impact of pesticide mixtures and predation on Daphnia pulex populations

Autor: Alba Arenas-Sánchez, Francesco Polazzo, Talles Bruno Oliveira dos Anjos, Marco Vighi, Laura Cherta, Andreu Rico, Sonia Migliorati, R Ascari

Publikováno v: Repositorio Institucional del Instituto IMDEA Agua
Universidad de Cantabria (UC)
Instituto IMDEA Agua (IMDEA AGUA)
Ecology and Evolution
Ecology and Evolution, Vol 11, Iss 9, Pp 4046-4057 (2021)

Pesticides, nutrients, and ecological stressors such as competition or predation co‐occur in freshwater ecosystems impacted by agriculture. The extent to which combinations of these stressors affect aquatic populations and the role of nutrients ava

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Analysis of Sustainability Propensity of Bike-Sharing Customers Using Partially Ordered Sets Methodology

Autor: Paolo Maranzano, R Ascari, Paola Maddalena Chiodini, Giancarlo Manzi

The propensity for sustainability actions and awareness among population might be driven by ad hoc policies. For example, in the transportation framework, the bike is (re)gaining popularity as a mean of transportation both convenient and environmenta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13f2f767fb9c8dd1f36730092a8b9afd
http://hdl.handle.net/10446/189327

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A new regression model for overdispersed binomial data accounting for outliers and an excess of zeros

Autor: R Ascari, Sonia Migliorati

Publikováno v: Statistics in Medicine

Binary outcomes are extremely common in biomedical research. Despite its popularity, binomial regression often fails to model this kind of data accurately due to the overdispersion problem. Many alternatives can be found in the literature, the beta-b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34b4332b8f84dd4cd01f756fcbd8b1b8
http://hdl.handle.net/10281/314279

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The Double Flexible Dirichlet: A Structured Mixture Model for Compositional Data

Autor: R Ascari, Andrea Ongaro, Sonia Migliorati

Publikováno v: Applied Modeling Techniques and Data Analysis 2

Vectors of proportions arise in a great variety of fields: chemistry, economics, medicine, sociology and many others. Supposing that a whole can be split into D mutually exclusive and exhaustive categories, vectors describing the percentage of each c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::360b374c08a1c94cf56e74e3e05d1cd5
http://hdl.handle.net/10281/311438

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Bayesian Inference for a Mixture Model on the Simplex

Autor: R Ascari, Sonia Migliorati, Andrea Ongaro

Publikováno v: Statistical Learning of Complex Data ISBN: 9783030211394

The Flexible Dirichlet (Ongaro and Migliorati, J. Multivar. Anal. 114:412–426, 2013) is a distribution for compositional data (i.e., data whose support is the simplex), which can fit data better than the classical Dirichlet distribution, thanks to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52fec77347529a1c52cb290137f78be3
https://doi.org/10.1007/978-3-030-21140-0_11

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