Zobrazeno 1 - 10
of 5 697
pro vyhledávání: '"Julià R"'
Traditional panel data causal inference frameworks, such as difference-in-differences and synthetic control methods, rely on pre-intervention data to estimate counterfactuals, which may not be available in real-world settings when interventions are i
Externí odkaz:
http://arxiv.org/abs/2410.16391
Autor:
Fischer, Julia R., Ram, Nilam
This paper investigates how the topical flow of dyadic conversations emerges over time and how differences in interlocutors' personality traits contribute to this topical flow. Leveraging text embeddings, we map the trajectories of $N = 1655$ convers
Externí odkaz:
http://arxiv.org/abs/2410.11043
Growing ecosystem of deep learning methods for modeling protein$\unicode{x2013}$protein interactions
Numerous cellular functions rely on protein$\unicode{x2013}$protein interactions. Efforts to comprehensively characterize them remain challenged however by the diversity of molecular recognition mechanisms employed within the proteome. Deep learning
Externí odkaz:
http://arxiv.org/abs/2310.06725
This article introduces a new method for eliciting prior distributions from experts. The method models an expert decision-making process to infer a prior probability distribution for a rare event $A$. More specifically, assuming there exists a decisi
Externí odkaz:
http://arxiv.org/abs/2307.07098
Autor:
Bowman, Gregory R., Cox, Stephen J., Dellago, Christoph, DuBay, Kateri H., Eaves, Joel D., Fletcher, Daniel A., Frechette, Layne B., Grünwald, Michael, Klymko, Katherine, Ku, JiYeon, Omar, Ahmad K., Rabani, Eran, Reichman, David R., Rogers, Julia R., Rosnik, Andreana M., Rotskoff, Grant M., Schneider, Anna R., Schwierz, Nadine, Sivak, David A., Vaikuntanathan, Suriyanarayanan, Whitelam, Stephen, Widmer-Cooper, Asaph
Publikováno v:
Ann. Rev. Phys. Chem. 74, 11.1-11.27 (2023)
Phillip L. Geissler made important contributions to the statistical mechanics of biological polymers, heterogeneous materials, and chemical dynamics in aqueous environments. He devised analytical and computational methods that revealed the underlying
Externí odkaz:
http://arxiv.org/abs/2302.13806
Autor:
Leclerc, Lucas, Ortiz-Guitierrez, Luis, Grijalva, Sebastian, Albrecht, Boris, Cline, Julia R. K., Elfving, Vincent E., Signoles, Adrien, Henriet, Loïc, Del Bimbo, Gianni, Sheikh, Usman Ayub, Shah, Maitree, Andrea, Luc, Ishtiaq, Faysal, Duarte, Andoni, Mugel, Samuel, Caceres, Irene, Kurek, Michel, Orus, Roman, Seddik, Achraf, Hammammi, Oumaima, Isselnane, Hacene, M'tamon, Didier
Publikováno v:
Phys. Rev. Research 5, 043117 (2023)
Machine Learning models capable of handling the large datasets collected in the financial world can often become black boxes expensive to run. The quantum computing paradigm suggests new optimization techniques, that combined with classical algorithm
Externí odkaz:
http://arxiv.org/abs/2212.03223
Autor:
Cline, Julia R. K., Schäfer, Vera M., Niu, Zhijing, Young, Dylan J., Yoon, Tai Hyun, Thompson, James K.
We demonstrate continuous loading of strontium atoms into a high finesse ring cavity and observe continuous strong collective coupling in the form of a vacuum Rabi splitting between the atoms and the cavity on the 7.5 kHz transition $^1{\rm S}_0$ to
Externí odkaz:
http://arxiv.org/abs/2211.00158
Autor:
Silva Sousa, Gleyton Leonel, Nadur, Nathalia Fonseca, de Almeida Peixoto Ferreira, Larissa, da Silva Honório, Thiago, Simon, Alice, Cabral, Lucio Mendes, Móra Santos, Maria Luiza, Andrade, Bruna, de Lima, Emanuelle V., Clarke, Julia R., Castro, Rosane Nora, Olímpio de Moura, Ricardo, Kümmerle, Arthur Eugen
Publikováno v:
In European Journal of Medicinal Chemistry 5 January 2025 281
Publikováno v:
In Early Childhood Research Quarterly Q2 2025 71:151-162
Autor:
Grundtner, Sabrina a, Sondermann, Julia R. a, Xian, Feng a, Malzl, Daniel b, c, d, Segelcke, Daniel e, Pogatzki-Zahn, Esther M. e, Menche, Jörg b, c, d, f, g, Gómez-Varela, David a, Schmidt, Manuela a, ⁎
Publikováno v:
In Pharmacological Research January 2025 211