Results 171 to 180 of about 23,025 (301)

Field Strength‐Dependent White Matter R1 and R2 Anisotropy of Phase‐Cycled Balanced Steady‐State Free Precession Relaxometry

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To investigate how the relaxation rates (R1, R2) and asymmetry indices (AI), derived from phase‐cycled balanced steady‐state free precession (pc‐bSSFP) data, depend on the orientation of white matter (WM) fiber tracts at different field strengths.
Florian Birk, Hamzeh Tesh, Ali Aghaeifar, Svenja Klinkowski, Praveen Iyyappan Valsala, Sebastian Mueller, Svenja Brodt, Klaus Scheffler, Rahel Heule   +8 more
wiley   +1 more source

Hybrid Kinetic Monte Carlo/Molecular Dynamics Simulations of Bond Scissions in Proteins [PDF]

, 2020
Benedikt Rennekamp, Fabian Kutzki, Agnieszka Obarska-Kosińska, Christopher Zapp, Frauke Gräter   +4 more
openalex   +1 more source

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao, Qintao Guo, Jin Zhou, Cheng Yi   +3 more
wiley   +1 more source

Hybrid Monte Carlo-Deterministic Methods for Nuclear Reactor-Related Criticality Calculations

, 2004
Edward Larson
openalex   +2 more sources

An Exact Method for Reliable Shortest Path Problems With Correlation

Networks, EarlyView.
ABSTRACT Shortest path problems often arise in contexts where travel times are uncertain. In these settings, reliable paths are often valued more than paths with lower expected travel times. This has led to several variants of reliable shortest path problems (RSPP) that handle travel time reliability differently. We propose an algorithmic framework for
Esteban Leiva, Santiago Morales, Daniel Yamín, Andrés L. Medaglia   +3 more
wiley   +1 more source

Addition of Phentermine‐Topiramate to a Digitally Enhanced Lifestyle Intervention: A Double‐Blind Randomized Clinical Trial

Obesity, EarlyView.
ABSTRACT Objective This study compared the effects of phentermine‐topiramate‐ER (mid‐dose 7.5/46 mg) versus placebo on weight loss and cardiovascular disease (CVD) risk outcomes when used as an adjunct to a digitally enhanced lifestyle intervention (DELI).
Alejandro Campos, Wissam Ghusn, Lizeth Cifuentes, Daniel Sacoto, Sima Fansa, Diego Anazco, Maria L. Ricardo‐Silgado, Anas Hashem, Megan Schaefer, William S. Harmsen, Heather J. Gunn, Craig Peterson, Deborah Larsen, Santosh T. Varghese, Maria D. Hurtado, Andres Acosta   +15 more
wiley   +1 more source

Implementing Hybrid Monte Carlo with stout-smeared chirally improved Dirac operators. [PDF]

, 2005
Wolfgang Ortner, C. B. Lang, Pushan Majumdar   +2 more
openalex   +1 more source

Using hybrid implicit Monte Carlo diffusion to simulate gray radiation hydrodynamics

, 2015
Mathew Cleveland, Nick Gentile
openalex   +2 more sources

Accelerating virtual patient generation with a Bayesian optimization and machine learning surrogate model

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 486-494, March 2025.
Abstract The pharmaceutical industry has increasingly adopted model‐informed drug discovery and development (MID3) to enhance productivity in drug discovery and development. Quantitative systems pharmacology (QSP), which integrates drug action mechanisms and disease complexities to predict clinical endpoints and biomarkers is central to MID3.
Hiroaki Iwata, Ryuta Saito
wiley   +1 more source

Ensemble Kalman filter in latent space using a variational autoencoder pair

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans, Yumeng Chen, Tobias Sebastian Finn, Marc Bocquet, Alberto Carrassi   +4 more
wiley   +1 more source