Results 91 to 100 of about 944,650 (244)
Optimal Experimental Design for Fast and Accurate Relaxation Time Measurements in Magnetic Resonance
We apply D‐optimal experimental design to relaxation constant estimation in NMR relaxometry. The resulting sampling schedules concentrate measurements where the signal is most sensitive to the relaxation constant. Compared with conventional linear or logarithmic spacing, D‐optimal designs achieve better estimation accuracy and precision with fewer ...
Natalie E. Klein +4 more
wiley +1 more source
Deep Learning Improves Robustness of Voxelwise Kinetic Modeling for Hyperpolarized Carbon‐13 MRI
ABSTRACT Purpose To evaluate whether deep learning improves the robustness of voxelwise kinetic parameter estimation from hyperpolarized (HP) 13C MRI compared with nonlinear least‐squares (NLLS) fitting. Methods A hybrid neural network (NN) was trained on synthetic pyruvate/lactate time courses generated from an open‐system two‐compartment HP 13C ...
Kofi Deh +5 more
wiley +1 more source
ABSTRACT Purpose To optimize diffusion MRI acquisition protocols for Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion (IMPULSED) model at clinical 3T scanner using Bayesian experimental design, enabling accurate cellular‐scale parameter estimation under realistic scan time and scanner hardware constraints.
Yan Dai +6 more
wiley +1 more source
Biodiversity can underpin stability in communities, allowing them to withstand environmental fluctuations without changes in aggregate properties like total abundance or biomass. We investigated the influence of biodiversity on two crucial population‐level mechanisms governing abundance stability in mesopredatory coral reef fishes: 1) ‘community ...
Rucha Karkarey +14 more
wiley +1 more source
Greater future range expansions in alien than native ant species
There is growing concern that many species may not be able to track suitable conditions under climate change and suffer range contractions as a result. At the same time, alien species introduced to novel geographic ranges are often assumed to benefit from climate change.
Tongyi Liu +2 more
wiley +1 more source
The L^p-Fisher-Rao metric and Amari-Cencov alpha-connections
We introduce a family of Finsler metrics, called the $L^p$-Fisher-Rao metrics $F_p$, for $p\in (1,\infty)$, which generalizes the classical Fisher-Rao metric $F_2$, both on the space of densities $\Dens$ and probability densities $\Prob$.
Maor, Cy +3 more
core +1 more source
Sorghum bicolor is a globally important cereal crop with annual yields exceeding 50 million tons across more than 100 countries and can be grown on marginal lands where conventional agriculture is limited. We examined how eight genetically diverse sorghum genotypes shaped arbuscular mycorrhizal fungal (AMF) community assembly across two contrasting ...
Philip Brailey‐Crane +8 more
wiley +1 more source
Bioactive Natural Products in Cardiovascular Disease: Focus on Thrombotic Events
An overview of the role of natural products (NP) in cardiovascular disease prevention, highlighting key mechanisms of action: including antiplatelet, antithrombotic, anti‐inflammatory, and antioxidant effects. Additionally, it illustrates the integration of diet–drug interactions, nutritional epigenetics, and the role of artificial intelligence in ...
Maria Nektaria Magkoulia +1 more
wiley +1 more source
Approximation and bounding techniques for the Fisher-Rao distances between parametric statistical models [PDF]
The Fisher-Rao distance between two probability distributions of a statistical model is defined as the Riemannian geodesic distance induced by the Fisher information metric.
Nielsen, Frank
core
Initial State Privacy of Nonlinear Systems on Riemannian Manifolds
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley +1 more source

