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Listar por palabra clave "Biophysics"

Mostrando ítems 1-5 de 5

Dual-Polarization Interferometry: A Novel Technique To Light up the Nanomolecular World

Escorihuela Fuentes, Jorge; González Martínez, Miguel Ángel; López-Paz, José Luis; Puchades, Rosa; Maquieira Catala, Ángel; Giménez Romero, David (American Chemical Society, 2015-01-14)

[EN] The challenging lecture given in 1959 by physicist and Nobel Prize awarded R. P. Feynman: “There's plenty of room at the bottom” is considered to be the starting point for nanotechnology. With this peculiar title, ...
In Silico Modelling to Assess the Electrical and Thermal Disturbance Provoked by a Metal Intracoronary Stent during Epicardial Pulsed Electric Field Ablation

González-Suárez, Ana; Pérez, Juan J; O Brien, Barry; Elahi, Adnan (MDPI AG, 2022-12)

[EN] Background: Pulsed Electric Field (PEF) ablation has been recently proposed to ablate cardiac ganglionic plexi (GP) aimed to treat atrial fibrillation. The effect of metal intracoronary stents in the vicinity of the ...
Limitations of Baseline Impedance, Impedance Drop and Current for Radiofrequency Catheter Ablation Monitoring: Insights from In Silico Modeling

Irastorza, Ramiro M.; Maher, Timothy; Barkagan, Michael; Liubasuskas, Rokas; Pérez, Juan J; Berjano, Enrique; D Avila, Andre (MDPI AG, 2022-10-03)

[EN] Background: Baseline impedance, radiofrequency current, and impedance drop during radiofrequency catheter ablation are thought to predict effective lesion formation. However, quantifying the contributions of local ...
Molecular mobility in biodegradable poly(e-caprolactone)/poly(hydroxyethyl acrylate) networks

Sabater i Serra, Roser; Kyritsis, A.; Escobar Ivirico, J.L.; Gómez Ribelles, José Luís; Pissis, P.; Salmerón Sánchez, Manuel (SPRINGER, 2011)

[EN] Poly( ε -caprolactone)/poly(hydroxyethyl acrylate) networks have been investigated by thermally stimulated depolarization currents (TSDC) and differential scanning calorimetry (DSC). The introduction of hydrophilic ...
Single trajectory characterization via machine learning

Munoz-Gil, Gorka; Garcia March, Miguel Angel; Manzo, Carlo; Martin-Guerrero, Jose D.; Lewenstein, Maciej (IOP Publishing, 2020-01)

[EN] In order to study transport in complex environments, it is extremely important to determine the physical mechanism underlying diffusion and precisely characterize its nature and parameters. Often, this task is strongly ...