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pro vyhledávání: '"Tasca A."'
The environmental impact of Bitcoin mining has become a significant concern, prompting several governments to consider or implement bans on cryptocurrency mining. However, these well-intentioned policies may lead to unintended consequences, notably t
Externí odkaz:
http://arxiv.org/abs/2411.07254
A local homeomorphism between open subsets of a locally compact Hausdorff space induces dynamical systems with a wide range of applications, including in C*-algebras. In this paper, we introduce the concepts of nonwandering and wandering sets for suc
Externí odkaz:
http://arxiv.org/abs/2410.08072
Fiat-pegged stablecoins are by nature exposed to spillover effects during market turmoil in Traditional Finance (TradFi). We observe a difference in TradFi market shocks impact between various stablecoins, in particular, USD Coin (USDC) and Tether US
Externí odkaz:
http://arxiv.org/abs/2407.11716
Total value locked (TVL) is widely used to measure the size and popularity of decentralized finance (DeFi). However, the prevalent TVL calculation framework suffers from a "double counting" issue that results in an inflated metric. We find existing m
Externí odkaz:
http://arxiv.org/abs/2404.11745
Decentralized Finance (DeFi) has emerged as a transformative force in the financial sector, with Automated Market Makers (AMMs) playing a crucial role in facilitating asset exchange and liquidity provision. However, most AMMs operate on the Ethereum
Externí odkaz:
http://arxiv.org/abs/2312.13749
Autor:
Shah, Ekta A., Lemaux, Brian, Forrest, Benjamin, Cucciati, Olga, Hung, Denise, Staab, Priti, Hathi, Nimish, Lubin, Lori, Gal, Roy R., Shen, Lu, Zamorani, Giovanni, Giddings, Finn, Bardelli, Sandro, Cassara, Letizia Pasqua, Cassata, Paolo, Contini, Thierry, Golden-Marx, Emmet, Guaita, Lucia, Gururajan, Gayathri, Koekemoer, Anton M., McLeod, Derek, Tasca, Lidia A. M., Tresse, Laurence, Vergani, Daniela, Zucca, Elena
We present six spectroscopically confirmed massive protostructures, spanning a redshift range of $2.5
Externí odkaz:
http://arxiv.org/abs/2312.04634
Autor:
Devereaux, T., Cassata, P., Ibar, E., Accard, C., Guillaume, C., Béthermin, M., Dessauges-Zavadsky, M., Faisst, A., Jones, G. C., Zanella, A., Bardelli, S., Boquien, M., D'Onghia, E., Giavalisco, M., Ginolfi, M., Gobat, R., Hayward, C. C., Koekemoer, A. M., Lemaux, B., Magdis, G., Mendez-Hernandez, H., Molina, J., Pozzi, F., Romano, M., Tasca, L., Vergani, D., Zamorani, G., Zucca, E.
Publikováno v:
A&A 686, A156 (2024)
Context: From redshift 6 to redshift $\approx$ 4 galaxies grow rapidly from low mass galaxies towards the more mature massive galaxies we see at the cosmic noon. Growth via gas accretion and mergers undoubtedly shape this evolution - however, there c
Externí odkaz:
http://arxiv.org/abs/2311.11493
Autor:
Béthermin, M., Accard, C., Guillaume, C., Dessauges-Zavadsky, M., Ibar, E., Cassata, P., Devereaux, T., Faisst, A., Freundlich, J., Jones, G. C., Kraljic, K., Algera, H., Amorin, R. O., Bardelli, S., Boquien, M., Buat, V., Donghia, E., Dubois, Y., Ferrara, A., Fudamoto, Y., Ginolfi, M., Guillard, P., Giavalisco, M., Gruppioni, C., Gururajan, G., Hathi, N., Hayward, C. C., Koekemoer, A. M., Lemaux, B. C., Magdis, G. E., Molina, J., Narayanan, D., Mayer, L., Pozzi, F., Rizzo, F., Romano, M., Tasca, L., Theulé, P., Vergani, D., Vallini, L., Zamorani, G., Zanella, A., Zucca, E.
The Kennicutt-Schmidt (KS) relation between the gas and the star formation rate (SFR) surface density ($\Sigma_{\rm gas}$-$\Sigma_{\rm SFR}$) is essential to understand star formation processes in galaxies. So far, it has been measured up to z~2.5 in
Externí odkaz:
http://arxiv.org/abs/2311.08474
We prove that every partial action of an inverse semigroupoid on a set admits a universal globalization. Moreover, we show that our construction gives a reflector from the category of partial actions on the full subcategory of global actions. Finally
Externí odkaz:
http://arxiv.org/abs/2310.08693
Effective application of mathematical models to interpret biological data and make accurate predictions often requires that model parameters are identifiable. Approaches to assess the so-called structural identifiability of models are well-establishe
Externí odkaz:
http://arxiv.org/abs/2309.15326