Zobrazeno 1 - 10
of 1 748
pro vyhledávání: '"P Todeschini"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This study illustrates the full-scale 3D numerical simulation of the coupled water-landslide dynamics of the 1963 Vajont catastrophic event. The focus is given to the early phase of the event when about 270 million cubic meters of rock fell
Externí odkaz:
https://doaj.org/article/5ab7f5e49bbf46f7ad79f59c2ee5307f
Autor:
Hyun-Soo Kim, Benjamin Roche, Sonali Bhattacharjee, Leila Todeschini, An-Yun Chang, Christopher Hammell, André Verdel, Robert A. Martienssen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Transcriptional silencing by RNAi paradoxically relies on transcription, but how the transition from transcription to silencing is achieved has remained unclear. The Cryptic Loci Regulator complex (CLRC) in Schizosaccharomyces pombe is a cul
Externí odkaz:
https://doaj.org/article/1283bd3c7a2e48a493e3346cc050b688
Autor:
Nakagawa, Rumi, Chau, Mary, Calzaretta, John, Keenan, Trevor, Vahabi, Puya, Todeschini, Alberto, Bassiouni, Maoya, Kang, Yanghui
Reliable estimates of Gross Primary Productivity (GPP), crucial for evaluating climate change initiatives, are currently only available from sparsely distributed eddy covariance tower sites. This limitation hampers access to reliable GPP quantificati
Externí odkaz:
http://arxiv.org/abs/2306.13815
Autor:
Baker, Emily A., Manenti, Sauro, Reali, Alessandro, Sangalli, Giancarlo, Tamellini, Lorenzo, Todeschini, Sara
Groundwater flow modeling is commonly used to calculate groundwater heads, estimate groundwater flow paths and travel times, and provide insights into solute transport processes within an aquifer. However, the values of input parameters that drive gr
Externí odkaz:
http://arxiv.org/abs/2210.17388
Autor:
Moran, Malachy, Woputz, Kayla, Hee, Derrick, Girotto, Manuela, D'Odorico, Paolo, Gupta, Ritwik, Feldman, Daniel, Vahabi, Puya, Todeschini, Alberto, Reed, Colorado J
Accurately estimating the snowpack in key mountainous basins is critical for water resource managers to make decisions that impact local and global economies, wildlife, and public policy. Currently, this estimation requires multiple LiDAR-equipped pl
Externí odkaz:
http://arxiv.org/abs/2208.04246
In this paper, we demonstrate a unique recipe to enhance the effectiveness of audio machine learning approaches by fusing pre-processing techniques into a deep learning model. Our solution accelerates training and inference performance by optimizing
Externí odkaz:
http://arxiv.org/abs/2207.13843
Autor:
Federico Pinto, Marco Di Pangrazio, Alessandro Martinino, Letizia Todeschini, Francesco Toti, Luca Cristin, Miriam Caimano, Amelia Mattia, Giuseppe Bianco, Gabriele Spoletini, Francesco Giovinazzo
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
IntroductionThis study comprehensively compared laparoscopic liver resection (LLR) to open liver resection (OLR) in treating colorectal cancer liver metastasis (CRLM).MethodsA systematic review of relevant literature was conducted to assess a range o
Externí odkaz:
https://doaj.org/article/4697fa5686a845a7a3b471da3435647b
Autor:
Minok Park, Luka Grbčić, Parham Motameni, Spencer Song, Alok Singh, Dante Malagrino, Mahmoud Elzouka, Puya H. Vahabi, Alberto Todeschini, Wibe Albert deJong, Ravi Prasher, Vassilia Zorba, Sean D. Lubner
Publikováno v:
Advanced Science, Vol 11, Iss 26, Pp n/a-n/a (2024)
Abstract This work demonstrates a method to design photonic surfaces by combining femtosecond laser processing with the inverse design capabilities of tandem neural networks that directly link laser fabrication parameters to their resulting textured
Externí odkaz:
https://doaj.org/article/88c4da42fd73415ab306a147fc8aa347
Autor:
Baker, Emily A., Cappato, Alessandro, Todeschini, Sara, Tamellini, Lorenzo, Sangalli, Giancarlo, Reali, Alessandro, Manenti, Sauro
Groundwater flow model accuracy is often limited by the uncertainty in model parameters that characterize aquifer properties and aquifer recharge. Aquifer properties such as hydraulic conductivity can have an uncertainty spanning orders of magnitude.
Externí odkaz:
http://arxiv.org/abs/2206.01990
Autor:
Davide Boldini, Davide Ballabio, Viviana Consonni, Roberto Todeschini, Francesca Grisoni, Stephan A. Sieber
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-16 (2024)
Abstract Natural products are a diverse class of compounds with promising biological properties, such as high potency and excellent selectivity. However, they have different structural motifs than typical drug-like compounds, e.g., a wider range of m
Externí odkaz:
https://doaj.org/article/46f966aabfba49c5aca910c8dd8a61cc