Zobrazeno 1 - 10
of 12 612
pro vyhledávání: '"Juan, G"'
Autor:
Ma, Kunlin, Samuel, Caleb J., Paul, Soumyadeep, Memarian, Fereshteh L., Vukasin, Gabrielle, Darvish, Armin, Santiago, Juan G.
Trapping, linearization, and imaging of single molecule DNA is of broad interest to both biophysicists who study polymer physics and engineers who build nucleic acid analyzing methods such as optical mapping. In this study, single DNA molecules in a
Externí odkaz:
http://arxiv.org/abs/2411.01097
Autor:
Lechuz-Sierra, Juan G., Martin, Ana Elvira H., Sundaram, Ashok M., Martinez-Cantin, Ruben, Roa, Máximo A.
Publikováno v:
IEEE Robotics and Automation Letters ( Volume: 9, Issue: 11, November 2024)
One of the first tasks we learn as children is to grasp objects based on our tactile perception. Incorporating such skill in robots will enable multiple applications, such as increasing flexibility in industrial processes or providing assistance to p
Externí odkaz:
http://arxiv.org/abs/2410.18237
In traditional models of opinion dynamics, each agent in a network has an opinion and changes in opinions arise from pairwise (i.e., dyadic) interactions between agents. However, in many situations, groups of individuals can possess a collective opin
Externí odkaz:
http://arxiv.org/abs/2408.13336
Autor:
Sampson, Corbit R., Restrepo, Juan G.
The spread of disinformation (maliciously spread false information) in online social networks has become an important problem in today's society. Disinformation's spread is facilitated by the fact that individuals often accept false information based
Externí odkaz:
http://arxiv.org/abs/2408.10373
Efficient and accurate prediction of physical systems is important even when the rules of those systems cannot be easily learned. Reservoir computing, a type of recurrent neural network with fixed nonlinear units, is one such prediction method and is
Externí odkaz:
http://arxiv.org/abs/2408.09223
We analyze the Bass model and the Susceptible-Infected (SI) model on hypergraphs with 3-body interactions. We derive the master equations for general hypernetworks, and use them to obtain explicit expressions for the expected adoption/infection level
Externí odkaz:
http://arxiv.org/abs/2407.12123
Motivated by the need to understand the factors driving gentrification, we introduce and analyze two simple dynamical systems that model the interplay between three potential drivers of the phenomenon. The constructed systems are based on the assumpt
Externí odkaz:
http://arxiv.org/abs/2406.12092
Autor:
Turner, Jacob E., Medina, Juan G. Lebron, Zelensky, Zachary, Gustavso, Kathleen A., Marx, Jeffrey, Kothapalli, Manvith, Vega, Luis D. Cruz, Lee, Alexander, Figueroa, Caryelis B., Reichart, Daniel E., Haislip, Joshua B., Kouprianov, Vladimir V., White, Steve, Ghigo, Frank, Heatherly, Sue Ann, McLaughlin, Maura A.
We report on findings from scintillation analyses using high-cadence observations of eight canonical pulsars with observing baselines ranging from one to three years. We obtain scintillation bandwidth and timescale measurements for all pulsars in our
Externí odkaz:
http://arxiv.org/abs/2405.19434
We develop a stochastic two-patch epidemic model with nonlinear recidivism to investigate infectious disease dynamics in heterogeneous populations. Extending a deterministic framework, we introduce stochasticity to account for random transmission, re
Externí odkaz:
http://arxiv.org/abs/2405.10998
Process Mining offers a powerful framework for uncovering, analyzing, and optimizing real-world business processes. Petri nets provide a versatile means of modeling process behavior. However, traditional methods often struggle to effectively compare
Externí odkaz:
http://arxiv.org/abs/2404.17129