Results 151 to 160 of about 257,172 (325)

Real‐time cardiac cine MRI: A comparison of a diffusion probabilistic model with alternative state‐of‐the‐art image reconstruction techniques for undersampled spiral acquisitions

Magnetic Resonance in Medicine, EarlyView.
Abstract Purpose Electrocardiogram (ECG)‐gated cine imaging in breath‐hold enables high‐quality diagnostics in most patients but can be compromised by arrhythmia and inability to hold breath. Real‐time cardiac MRI offers faster and robust exams without these limitations.
Oliver Schad, Julius Frederik Heidenreich, Nils Petri, Jonas Kleineisel, Simon Sauer, Thorsten Alexander Bley, Peter Nordbeck, Bernhard Petritsch, Tobias Wech   +8 more
wiley   +1 more source

Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion

, 2021
Irene Tubikanec, Massimiliano Tamborrino, Petr Lánský, Evelyn Buckwar   +3 more
openalex   +1 more source

Electrical Behavior of Green‐Synthesized Nano Silver Particles Embedded in Polyurethane: Numerical and Experimental Studies

Polymer Composites, EarlyView.
AgNPs were synthesized using Urtica dioica. AgNPs‐PU was prepared using a solution mixing method followed by spin coating. Microscopy Optical image of AgNPs‐PU composite with different concentrations of AgNPs. Electrical behaviour versus pressure. ABSTRACT This study explores the electrical properties of a nanocomposite composed of green‐synthesized ...
Saeid Mehvari, Gražyna Simha Martynková, Gabriela Kratošová, Jana Kupková, Sergio González, Yolanda Sanchez‐Vicente, Khalid Lafdi   +6 more
wiley   +1 more source

Geometric Brownian motion and a new approach to the spread of Covid-19 in Italy

, 2021
Nicola Fabiano, Stojan Radenović
openalex   +2 more sources

The Confidence Limits of a Geometric Brownian Motion [PDF]

This paper investigates whether the assumption of Brownian motion often used to describe commodity price movements is satisfied. Using historical data from 17 commodity futures contracts specific tests of fractional and ordinary Brownian motion are ...
Power, Gabriel J., Turvey, Calum G.
core   +1 more source

Cuprate Twistronics for Quantum Hardware

Advanced Quantum Technologies, EarlyView.
This review bridges decades of foundational research with emerging fabrication techniques such as molecular beam epitaxy and cryogenic stacking. By enabling control over electronic correlations and symmetry in twisted cuprate heterostructures, it highlights how cuprate twistronics could open new paths to overcome decoherence and scalability challenges ...
Tommaso Confalone, Flavia Lo Sardo, Yejin Lee, Sanaz Shokri, Giuseppe Serpico, Alessandro Coppo, Luca Chirolli, Valerii M. Vinokur, Valentina Brosco, Uri Vool, Domenico Montemurro, Francesco Tafuri, Kornelius Nielsch, Golam Haider, Nicola Poccia   +14 more
wiley   +1 more source

Time‐Domain Visualization of Electron‐Phonon Coupling in Nanographenes

Small Methods, EarlyView.
Impulsive vibrational spectroscopy, Raman spectroscopy, and density functional theory calculations are gathered together to unveil elusive low‐frequency collective vibrational modes in dibenzo[hi,st]ovalene nanographenes, enabling the detailed comparison between vibrational modes in derivatives with different peripheral groups.
Rafael Muñoz‐Mármol, Saurav Raj, Mattia Russo, Gianluca Serra, Hao Zhao, Giacomo Bassi, Andrea Lucotti, Francesco Scotognella, Giulio Cerullo, Guglielmo Lanzani, Matteo Tommasini, Margherita Maiuri, Akimitsu Narita, Giuseppe Maria Paternò   +13 more
wiley   +1 more source

Evaluation of an iron ore price forecast using a geometric Brownian motion model

REM: International Engineering Journal
Mining projects are often budgeted in millions of dollars, making it of interest to the investor to measure a project’s uncertainties and risks, which include the changes in the commodity price.
André Lubene Ramos, Douglas Batista Mazzinghy, Viviane da Silva Borges Barbosa, Michel Melo Oliveira, Gilberto Rodrigues da Silva   +4 more
doaj   +1 more source

Simulating stock prices using geometric Brownian motion model under normal and convoluted distributional assumptions

, 2023
Eric Teye Mensah, Alexander Boateng, Nana Kena Frempong, Daniel Maposa   +3 more
openalex   +1 more source

QRS Detection in Noisy Electrocardiogram Based on Multi‐Parameter Constrained Stochastic Resonance

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
One major challenge of QRS wave detection is the deleterious impact of inevitable noise in electrocardiogram (ECG) signals, which can deteriorate the detection performance of algorithms. Previous research has shown a nonlinear monostable potential‐based algorithm for enhancing the QRS complex in a noisy environment. Its main mechanism is the stochastic
Wenyu Shang, Masaki Sekino
wiley   +1 more source