Zobrazeno 1 - 10
of 4 858
pro vyhledávání: '"Martinuzzi, A."'
Autor:
Montero, David, Kraemer, Guido, Anghelea, Anca, Aybar, César, Brandt, Gunnar, Camps-Valls, Gustau, Cremer, Felix, Flik, Ida, Gans, Fabian, Habershon, Sarah, Ji, Chaonan, Kattenborn, Teja, Martínez-Ferrer, Laura, Martinuzzi, Francesco, Reinhardt, Martin, Söchting, Maximilian, Teber, Khalil, Mahecha, Miguel D.
Recent advancements in Earth system science have been marked by the exponential increase in the availability of diverse, multivariate datasets characterised by moderate to high spatio-temporal resolutions. Earth System Data Cubes (ESDCs) have emerged
Externí odkaz:
http://arxiv.org/abs/2408.02348
Autor:
Glover, Tom Eivind, Jahren, Ruben, Martinuzzi, Francesco, Lind, Pedro Gonçalves, Nichele, Stefano
Elementary Cellular Automata (ECA) are a well-studied computational universe that is, despite its simple configurations, capable of impressive computational variety. Harvesting this computation in a useful way has historically shown itself to be diff
Externí odkaz:
http://arxiv.org/abs/2407.18017
Autor:
Camps-Valls, Gustau, Fernández-Torres, Miguel-Ángel, Cohrs, Kai-Hendrik, Höhl, Adrian, Castelletti, Andrea, Pacal, Aytac, Robin, Claire, Martinuzzi, Francesco, Papoutsis, Ioannis, Prapas, Ioannis, Pérez-Aracil, Jorge, Weigel, Katja, Gonzalez-Calabuig, Maria, Reichstein, Markus, Rabel, Martin, Giuliani, Matteo, Mahecha, Miguel, Popescu, Oana-Iuliana, Pellicer-Valero, Oscar J., Ouala, Said, Salcedo-Sanz, Sancho, Sippel, Sebastian, Kondylatos, Spyros, Happé, Tamara, Williams, Tristan
In recent years, artificial intelligence (AI) has deeply impacted various fields, including Earth system sciences. Here, AI improved weather forecasting, model emulation, parameter estimation, and the prediction of extreme events. However, the latter
Externí odkaz:
http://arxiv.org/abs/2406.20080
Autor:
Ji, Chaonan, Fincke, Tonio, Benson, Vitus, Camps-Valls, Gustau, Fernandez-Torres, Miguel-Angel, Gans, Fabian, Kraemer, Guido, Martinuzzi, Francesco, Montero, David, Mora, Karin, Pellicer-Valero, Oscar J., Robin, Claire, Soechting, Maximilian, Weynants, Melanie, Mahecha, Miguel D.
With climate extremes' rising frequency and intensity, robust analytical tools are crucial to predict their impacts on terrestrial ecosystems. Machine learning techniques show promise but require well-structured, high-quality, and curated analysis-re
Externí odkaz:
http://arxiv.org/abs/2406.18179
Autor:
Montero, David, Mahecha, Miguel D., Martinuzzi, Francesco, Aybar, César, Klosterhalfen, Anne, Knohl, Alexander, Koebsch, Franziska, Anaya, Jesús, Wieneke, Sebastian
Accurate quantification of Gross Primary Production (GPP) is crucial for understanding terrestrial carbon dynamics. It represents the largest atmosphere-to-land CO$_2$ flux, especially significant for forests. Eddy Covariance (EC) measurements are wi
Externí odkaz:
http://arxiv.org/abs/2404.12745
Autor:
Francesca Rossi, Monica Valle, Giovanni Galeoto, Marco Tofani, Paola Berchialla, Veronica Sciannameo, Daniele Bertin, Annalisa Calcagno, Roberto Casalaz, Margherita Cerboneschi, Marta Cervo, Annalisa Cornelli, Chiara Di Pede, Maria Esposito, Miriana Ferrarese, Paola Imazio, Maria Lorenzon, Lucia Longo, Andrea Martinuzzi, Gabriella Naretto, Nicoletta Orsini, Daniele Panzeri, Chiara Pellegrini, Michela Peranzoni, Fabiola Picone, Marco Rabusin, Federica Ricci, Claudia Zigrino, Giulia Zucchetti, Franca Fagioli
Publikováno v:
Current Oncology, Vol 31, Iss 9, Pp 5291-5306 (2024)
Children/adolescents with cancer can develop adverse effects impacting gross motor function. There is a lack of gross motor function assessment tools that have been validated for this population. The aim of this multicenter cross-sectional study was
Externí odkaz:
https://doaj.org/article/bc9a726774e74131bc0c032ae3f90b8c
Publikováno v:
Journal of Fluid Mechanics. 2024;979:A50
Several methods have been proposed to characterize the complex interactions in turbulent wakes, especially for flows with strong cyclic dynamics. This paper introduces the concept of Fourier-Averaged Navier-Stokes (FANS) equations as a framework to o
Externí odkaz:
http://arxiv.org/abs/2302.08025
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W12-2024, Pp 89-95 (2024)
Remote sensing is an essential technology in environmental science to study Earth surface processes. In optical remote sensing, spectral indices (SI) are widely used to quantify the properties of specific surface characteristics. SI mathematically co
Externí odkaz:
https://doaj.org/article/1e530cbbad7144d9813107967a270755
Autor:
Domenico Montanaro, Marinela Vavla, Francesca Frijia, Alessio Coi, Alessandra Baratto, Rosa Pasquariello, Cristina Stefan, Andrea Martinuzzi
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
BackgroundHereditary Spastic Paraplegias (HSP) are genetic neurodegenerative disorders affecting the corticospinal tract. No established neuroimaging biomarker is associated with this condition.MethodsA total of 46 patients affected by HSP, genetical
Externí odkaz:
https://doaj.org/article/71b2198e4d3d442baa7f3d7e3052cc6b
Autor:
Sebastián Pablo Chapela, Andres Luciano Nicolas Martinuzzi, Natalia Daniela Llobera, Florencia Ceriani, Victoria Gonzalez, Martha Montalvan, Ludovica Verde, Evelyn Frias-Toral
Publikováno v:
Food and Agricultural Immunology, Vol 35, Iss 1 (2024)
Since the 1990s the worldwide rate of obesity has escalated significantly. This overflow affects all demographic groups, with a notable impact on older adults and women. Obesity is associated with a variety of serious chronic health conditions. Addit
Externí odkaz:
https://doaj.org/article/aa75ca8481054b45a6a3d5b9606a6888