Zobrazeno 1 - 10
of 14 481
pro vyhledávání: '"Caetano P"'
Autor:
Amritha Prasad, Erin Wynands, Steven M. Roche, Cristina Romo-Bernal, Nicholas Allan, Merle Olson, Sheeny Levengood, Roger Andersen, Nicolas Loebel, Caetano P. Sabino, Joseph A. Ross
Publikováno v:
Foods, Vol 13, Iss 3, p 453 (2024)
The development of novel antimicrobial technologies for the food industry represents an important strategy to improve food safety. Antimicrobial photodynamic disinfection (aPDD) is a method that can inactivate microbes without the use of harsh chemic
Externí odkaz:
https://doaj.org/article/952d1a3bbd804841a2c2af700641584e
We focus on the derivation and analysis of a model for multi-component phase separation occurring on biological membranes, inspired by observations of lipid raft formation. The model integrates local membrane composition with local membrane curvature
Externí odkaz:
http://arxiv.org/abs/2410.05492
Autor:
Viviers, Christiaan, Valiuddin, Amaan, Caetano, Francisco, Abdi, Lemar, Filatova, Lena, de With, Peter, van der Sommen, Fons
Detecting Out-of-Distribution (OOD) sensory data and covariate distribution shift aims to identify new test examples with different high-level image statistics to the captured, normal and In-Distribution (ID) set. Existing OOD detection literature la
Externí odkaz:
http://arxiv.org/abs/2409.03043
We derive various novel free boundary problems as limits of a coupled bulk-surface reaction-diffusion system modelling ligand-receptor dynamics on evolving domains. These limiting free boundary problems may be formulated as Stefan-type problems on an
Externí odkaz:
http://arxiv.org/abs/2407.16522
Autor:
Caetano, Carolina, Callaway, Brantly
In this paper, we study difference-in-differences identification and estimation strategies when the parallel trends assumption holds after conditioning on covariates. We consider empirically relevant settings where the covariates can be time-varying,
Externí odkaz:
http://arxiv.org/abs/2406.15288
Autor:
Dai, Gordon, Zhang, Weijia, Li, Jinhan, Yang, Siqi, lbe, Chidera Onochie, Rao, Srihas, Caetano, Arthur, Sra, Misha
The emergence of Large Language Models (LLMs) and advancements in Artificial Intelligence (AI) offer an opportunity for computational social science research at scale. Building upon prior explorations of LLM agent design, our work introduces a simula
Externí odkaz:
http://arxiv.org/abs/2406.14373
Autor:
Caetano, R. A., Angelo, R. M.
With basis on (i) the physical principle of local causality and (ii) a certain notion of elements of reality, Einstein, Podolsky, and Rosen (EPR) put forward an argument showing that physical instances may exist in which two non-commuting observables
Externí odkaz:
http://arxiv.org/abs/2405.17300
Autor:
Karina Bispo-dos-Santos, Priscilla P. Barbosa, Fabiana Granja, Matheus Cavalheiro Martini, Camila Flavia Schettino Oliveira, Desiree Cigaran Schuck, Carla Abdo Brohem, Clarice Weis Arns, Sylvio Jorge Hares Junior, Caetano Padial Sabino, Jose Luiz Proenca-Modena
Publikováno v:
Journal of Photochemistry and Photobiology, Vol 8, Iss , Pp 100072- (2021)
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is mainly transmitted by airborne droplets generated by infected individuals. Since this and many other pathogens are able to remain viable on inert surfaces for extended periods of time, c
Externí odkaz:
https://doaj.org/article/6eea161a75e04b86ab6acf74ecd21070
Publikováno v:
Journal of Photochemistry and Photobiology, Vol 8, Iss , Pp 100068- (2021)
A significant amount of epidemiological evidence has underlined that human-to-human transmission due to close contacts is considered the main pathway of transmission, however since the SARS-CoV-2 can also survive in aerosols, water, and surfaces, the
Externí odkaz:
https://doaj.org/article/802be45925e0445e9493f4b5ab009c28
Autor:
Gabriel Natan Pires, Isabela Antunes Ishikura, Sandra Doria Xavier, Caetano Petrella, Ronaldo Delmonte Piovezan, Ellen Maria Sampaio Xerfan, Monica Levy Andersen, Sergio Tufik
Publikováno v:
Frontiers in Aging Neuroscience, Vol 13 (2021)
Since the beginning of the COVID-19 pandemic, older adults have been found to be a highly vulnerable group, with a higher prevalence of severe cases and negative outcomes. Research has focused on the reasons why older adults are at greater risk; Slee
Externí odkaz:
https://doaj.org/article/16c6bc6dbdbe4fe9995a9ce4262b2444