Zobrazeno 1 - 10
of 8 358
pro vyhledávání: '"Casiraghi, A"'
Autor:
Schweitzer, Frank, Casiraghi, Giona
We explore the nonlinear dynamics of a macroeconomic model with resource constraints. The dynamics is derived from a production function that considers capital and a generalized form of energy as inputs. Energy, the new variable, is depleted during t
Externí odkaz:
http://arxiv.org/abs/2408.16015
Autor:
Casiraghi, Giona, Andres, Georges
Real-world networks are sparse. As we show in this article, even when a large number of interactions is observed most node pairs remain disconnected. We demonstrate that classical multi-edge network models, such as the $G(N,p)$, configuration models,
Externí odkaz:
http://arxiv.org/abs/2406.09169
Autor:
Casiraghi, Giona, Andres, Georges
Changes in the timescales at which complex systems evolve are essential to predicting critical transitions and catastrophic failures. Disentangling the timescales of the dynamics governing complex systems remains a key challenge. With this study, we
Externí odkaz:
http://arxiv.org/abs/2403.05343
Autor:
Cavalleri, Emanuele, Cabri, Alberto, Soto-Gomez, Mauricio, Bonfitto, Sara, Perlasca, Paolo, Gliozzo, Jessica, Callahan, Tiffany J., Reese, Justin, Robinson, Peter N, Casiraghi, Elena, Valentini, Giorgio, Mesiti, Marco
The "RNA world" represents a novel frontier for the study of fundamental biological processes and human diseases and is paving the way for the development of new drugs tailored to the patient's biomolecular characteristics. Although scientific data a
Externí odkaz:
http://arxiv.org/abs/2312.00183
Autor:
Durin, Gianfranco, Schimmenti, Vincenzo Maria, Baiesi, Marco, Casiraghi, Arianna, Magni, Alessandro, Herrera-Diez, Liza, Ravelosona, Dafiné, Foini, Laura, Rosso, Alberto
Publikováno v:
Phys. Rev. B 110, L020405 (2024)
We study the motion of a domain wall on an ultrathin magnetic film using the magneto-optical Kerr effect (MOKE). At tiny magnetic fields, the wall creeps only via thermal activation over the pinning centers present in the sample. Our results show tha
Externí odkaz:
http://arxiv.org/abs/2309.12898
Autor:
Gote, Christoph, Perri, Vincenzo, Zingg, Christian, Casiraghi, Giona, Arzig, Carsten, von Gernler, Alexander, Schweitzer, Frank, Scholtes, Ingo
Community smells are negative patterns in software development teams' interactions that impede their ability to successfully create software. Examples are team members working in isolation, lack of communication and collaboration across departments o
Externí odkaz:
http://arxiv.org/abs/2309.07467
Autor:
Luca Bertolaccini, Monica Casiraghi, Antonio Mazzella, Claudia Bardoni, Matteo Chiari, Filippo de Marinis, Lorenzo Spaggiari
Publikováno v:
European Medical Journal Respiratory, Pp 112-118 (2024)
Externí odkaz:
https://doaj.org/article/744fdc6d64d5498b83a8277a284e6ac4
Autor:
Callahan, Tiffany J., Tripodi, Ignacio J., Stefanski, Adrianne L., Cappelletti, Luca, Taneja, Sanya B., Wyrwa, Jordan M., Casiraghi, Elena, Matentzoglu, Nicolas A., Reese, Justin, Silverstein, Jonathan C., Hoyt, Charles Tapley, Boyce, Richard D., Malec, Scott A., Unni, Deepak R., Joachimiak, Marcin P., Robinson, Peter N., Mungall, Christopher J., Cavalleri, Emanuele, Fontana, Tommaso, Valentini, Giorgio, Mesiti, Marco, Gillenwater, Lucas A., Santangelo, Brook, Vasilevsky, Nicole A., Hoehndorf, Robert, Bennett, Tellen D., Ryan, Patrick B., Hripcsak, George, Kahn, Michael G., Bada, Michael, Baumgartner Jr, William A., Hunter, Lawrence E.
Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenges. Knowle
Externí odkaz:
http://arxiv.org/abs/2307.05727
Supply chain disruptions cause shortages of raw material and products. To increase resilience, i.e., the ability to cope with shocks, substituting goods in established supply chains can become an effective alternative to creating new distribution lin
Externí odkaz:
http://arxiv.org/abs/2304.05290
Autor:
Kolonin, Anton, Glushchenko, Alexey, Fokin, Arseniy, Mari, Marcello, Casiraghi, Mario, Vishwas, Mukul
The paper presents an advanced version of an adaptive market-making agent capable of performing experiential learning, exploiting a "try and fail" approach relying on a swarm of subordinate agents executed in a virtual environment to determine optima
Externí odkaz:
http://arxiv.org/abs/2303.02342