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Institution

Polytechnic University of Turin

EducationTurin, Piemonte, Italy
About: Polytechnic University of Turin is a education organization based out in Turin, Piemonte, Italy. It is known for research contribution in the topics: Finite element method & Computer science. The organization has 11553 authors who have published 41395 publications receiving 789320 citations. The organization is also known as: POLITO & Politecnico di Torino.


Papers
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Journal ArticleDOI
TL;DR: In this article, the impact of climate fluctuations on the dynamics of soil moisture is studied through a stochastic model of soil water balance, focusing on the changes in soil water content induced by the interannual variability of rainfall observed at the decade-to-century timescale.
Abstract: The impact of climate fluctuations on the dynamics of soil moisture is studied through a stochastic model of soil water balance. The analysis focuses on the changes of soil water content induced by the interannual variability of rainfall observed at the decade-to-century timescale. Extensive data analyses have been performed to characterize the statistical properties of such a variability. Particular attention is paid to the year-to-year variability of the average value of soil moisture during the growing season because of its relevance to the mechanisms affecting the physiology of plants and the dynamics of ecosystems. It is found that the probability distribution of the average seasonal soil moisture may be either unimodal or bimodal depending on the different combinations of climate, soil, and vegetation parameters. The possible occurrence of a double mode has both hydrologic and ecologic implications that are analyzed here.

151 citations

Journal ArticleDOI
TL;DR: In this article, a stochastic model of riparian vegetation ecosystem dynamics forced by random variations in river discharge is proposed, and the analytical expressions of the probability density function of the overall vegetation biomass and its first moments are obtained.
Abstract: [1] Riparian vegetation is part of one of the most diverse and fragile ecotones The key role played by river discharge on the dynamics of riparian vegetation has been widely studied and documented However, although randomness is a fundamental characteristic of river hydrology, very few quantitative vegetation studies take into account the random nature of river discharge Here we propose a stochastic model of riparian vegetation ecosystem dynamics forced by random variations in river discharge The model is solved, and the analytical expressions of the probability density function of the overall vegetation biomass and its first moments are obtained These theoretical results are used to investigate the effect of river hydrology on the distribution of vegetation along the riparian transect transverse to the river In particular, the influence of the type of riparian species and the statistical characteristics of discharge time series are discussed and compared with field observations

151 citations

Journal ArticleDOI
TL;DR: Results suggest that PRC2-dependent recruitment of Tet1 contributes to epigenetic plasticity throughout cell differentiation in pluripotent ESCs and differentiated embryonic and adult cells.
Abstract: Background Ten-Eleven Translocation (TETs)proteins mediate the oxidation of 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC). Tet1 is expressed at high levels in mouse embryonic stem cells (ESCs), where it mediates the induction of 5hmC decoration on gene-regulatory elements. While the function of Tet1 is known, the mechanisms of its specificity remain unclear.

151 citations

Journal ArticleDOI
TL;DR: The extension of the objective assessment of the electrical manifestations of muscle fatigue from static to dynamic contractions may increase considerably the interest of researchers and clinicians and open new application fields, as ergonomics and sports medicine.

151 citations


Authors

Showing all 11854 results

NameH-indexPapersCitations
Rodney S. Ruoff164666194902
Silvia Bordiga10749841413
Sergio Ferrara10572644507
Enrico Rossi10360641255
Stefano Passerini10277139119
James Barber10264242397
Markus J. Buehler9560933054
Dario Farina9483232786
Gabriel G. Katul9150634088
M. De Laurentis8427554727
Giuseppe Caire8282540344
Christophe Fraser7626429250
Erasmo Carrera7582923981
Andrea Califano7530531348
Massimo Inguscio7442721507
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023210
2022487
20212,789
20202,969
20192,779
20182,509