Results 31 to 40 of about 7,524,413 (132)

Ajustando a RFR por Preditores de Discordância, “A RFR Ajustada”: Uma Metodologia Alternativa para Melhorar a Capacidade Diagnóstica dos Índices Coronarianos

, 2022
Angina de pecho; Reserva de flujo fraccional; SensibilidadAngina de pit; Reserva de flux fraccionari; SensibilitatAngina; Fractional flow reserve; SensitivityBackground Cutoff thresholds for the “resting full-cycle ratio” (RFR) oscillate in different ...
García del Blanco, Bruno, Fernández-Rodríguez, Diego, Casanova-Sandoval, Juan, Otaegui Irurueta, Imanol, Rivera, Kristian, Barriuso Barrado, Ignacio   +5 more
core   +1 more source

hydrogo/RFR-codes: RFR-codes v1.0

, 2022
<p>The first release of computational code for the support of the RFR v1.0 dataset.</p ...
Georgy Ayzel
core   +1 more source

Image_1_The impact of coronary microvascular dysfunction on the discordance between fractional flow reserve and resting full-cycle ratio in patients with chronic coronary syndromes.JPEG

, 2022
BackgroundResting full-cycle ratio (RFR) is an alternative to fractional flow reserve (FFR) for the evaluation of borderline coronary artery lesions.
Lukasz Niewiara (13908357), Jacek Legutko (11238131), Marcin Nosal (13908366), Bartlomiej Guzik (13908360), Paweł Kleczynski (12477921), Piotr Szolc (13908363), Jakub Podolec (491752), Marta Diachyshyn (13908369), Krzysztof Zmudka (13908372)   +8 more
core   +1 more source

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source

Recommendations for the performance of coronary physiology studies.

, 2023
RFR, resting full-cycle ratio; FFR, fractional flow reserve; CFR, coronary flow reserve; IMR, index of microvascular resistance; Tmn, mean transit time. (DOCX)
Marcos Garcia-Guimaraes (8458002), Carlos Cortés Villar (15453573), Ferran Barbé (510961), Thalía Belmonte (6657887), Vicente Peral Disdier (13639951), Juan Casanova-Sandoval (13639927), Fernando Worner (3152415), Raúl Millán Segovia (15453576), Diego Fernández-Rodríguez (8077805), Ignacio Barriuso (13639930), Lucía Matute-Blanco (15453570), Kristian Rivera (8077808), Iván D. Benítez (11480363), David de Gonzalo-Calvo (11312838)   +13 more
core   +1 more source

Exploring the Sensitivity Limits of Neuronal Current Imaging With MRI and MEG in the Human Brain

Human Brain Mapping, Volume 47, Issue 11, 01 August 2026.
Combined spin‐lock fMRI, MEG, BOLD‐fMRI, and phantom experiments reveal that physiological neuronal magnetic fields lie below the in vivo detection threshold of the current spin‐lock implementations at 3T, defining quantitative sensitivity limits for MR‐based neuronal current imaging. ABSTRACT Conventional BOLD‐fMRI relies on hemodynamic responses that
Milena Capiglioni, Davide Tabarelli, Stefano Tambalo, Federico Turco, Roland Wiest, Jorge Jovicich   +5 more
wiley   +1 more source

Table_1_Potential value of saline-induced Pd/Pa ratio in patients with coronary artery stenosis.DOCX

, 2023
BackgroundFractional flow reserve (FFR) is the current gold standard for identifying myocardial ischemia in individuals with coronary artery stenosis.
Satoshi Kodera (3472406), Norifumi Takeda (422775), Takuya Kawahara (2526739), Jiro Ando (702640), Hiroyuki Kiriyama (14020219), Masahiro Myojo (564000), Keisuke Yamamoto (165942), Hiroshi Ikenouchi (14336718), Mizuki Miura (14020222), Susumu Katsushika (11238036), Nobuhiko Itoh (14336715), Kazutoshi Hirose (14020213), Issei Komuro (48691), Masaru Hatano (5220680), Hironobu Kikuchi (11238039), Akihito Saito (5220695), Arihiro Kiyosue (564003), Hiroki Shinohara (11238027), Shun Minatsuki (5220686), Tatsuya Kamon (14020216)   +19 more
core   +1 more source

A new method to identify and explain sources of precipitation modification, illustrated for the western Netherlands

Quarterly Journal of the Royal Meteorological Society, Volume 152, Issue 778, July 2026 Part A.
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff, Gert‐Jan Steeneveld   +1 more
wiley   +1 more source

Boron Coordination in Multicomponent Glasses: Analytical Models and Machine Learning With Uncertainty

International Journal of Applied Glass Science, Volume 17, Issue 3, July 2026.
ABSTRACT Borosilicate glasses are extensively used in a variety of applications from kitchenware to nuclear waste immobilization due to the strong network formed by the Si─O─B bond that makes it resistant to chemical corrosion and gives it a low thermal expansion.
Chloe E. Curry, Mayra Diaz‐Acevedo, Dewei Wang, Sarah I. Allec, James J. Neeway, John D. Vienna, Xiaonan Lu   +6 more
wiley   +1 more source

RFR-CCS

, 2021
DescriptionA collection of data from various sources used to create RFR-CCS, a gridded surface pCO2 product for the California Current ecosystem.SourcesMooring Data: Sutton et al., 2019 (https://www.ncei.noaa.gov/access/ocean-carbon-data-system/oceans ...
Jonathan Sharp (11262003)
core   +1 more source