Results 111 to 120 of about 1,491 (210)

Restriction‐Weighted Q‐Space Trajectory Imaging (ResQ): Toward Mapping Diffusion‐Time Effects With Tensor‐Valued Diffusion Encoding in Human Prostate Cancer Xenografts

NMR in Biomedicine, Volume 39, Issue 8, August 2026.
Tensor‐valued diffusion MRI enables microstructure characterization but can be confounded by the presence of restricted diffusion. We introduce ResQ, a framework that incorporates restriction weighting into q‐space trajectory imaging and we evaluate it in a longitudinal study of prostate cancer xenografts treated by external radiotherapy. ResQ revealed
Filip Szczepankiewicz, Malwina Molendowska, Samo Lasič, Marcella E. Safi, Michael Gottschalk, Evangelia Sereti, Anders Bjartell, Linda Knutsson, Oskar Vilhelmsson Timmermand, Crister Ceberg, Joanna Strand   +10 more
wiley   +1 more source

Sustainable P3HB:ZnO Composite Piezoelectric Nanofibers for AI‐Driven Gait Monitoring

Small Science, Volume 6, Issue 8, August 2026.
This work presents an AI‐enabled framework for designing sustainable P3HB:ZnO piezoelectric nanofibers by integrating artificial neural networks and genetic algorithms to optimize material composition and electrospinning parameters. The developed nanofibers exhibit enhanced piezoelectric performance and are successfully integrated into an intelligent ...
Milad Razbin, Kexin Ruan, Danish Tahir, Xuan Li, Qing Li, Hala Zreiqat, Fariba Dehghani, Shuying Wu   +7 more
wiley   +1 more source

Reappraisal of Holocene Caldera Resurgence at Campi Flegrei (Southern Italy): A Long‐Lived Magma‐Driven Resurgent Dome System

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 8, August 2026.
Abstract Caldera systems commonly experience inner resurgence, which shapes patterns of volcanic activity. However, incomplete reconstructions of past ground deformation can lead to incorrect recognition of precursory signals. The Campi Flegrei caldera (Italy) provides an exceptional opportunity to address this issue as uplifted marine sediments ...
Jacopo Natale, Stefano Vitale
wiley   +1 more source

Modeling Transient Flow in Heterogeneous Aquifers With the Mixed Pressure‐Velocity Formulation of Physics Informed Neural Networks

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Physics‐Informed Neural Networks (PINNs) have emerged as a powerful framework for modeling groundwater flow using deep learning neural networks, particularly in scenarios where traditional data‐driven approaches are limited by the scarcity of data.
Adhish Virupaksha, Marwan Fahs, Hussein Hoteit, Thomas Nagel, François Lehmann   +4 more
wiley   +1 more source

CESAR: A Convolutional Echo State AutoencodeR for High‐Resolution Wind Forecasting

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract An accurate and timely assessment of wind speed and energy output allows an efficient planning and management of this resource on the power grid. Wind energy, especially at high resolution, calls for the development of nonlinear statistical models able to capture complex dependencies in space and time. This work introduces a Convolutional Echo
Matthew Bonas, Paolo Giani, Paola Crippa, Stefano Castruccio   +3 more
wiley   +1 more source

TITAN‐LSTM: A Weather Radar Nowcasting Tool

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Precipitation nowcasting is essential for a wide range of meteorological and hydrological applications, and weather radar plays a central role in this task. Extrapolation algorithms such as TITAN (Thunderstorm Identification, Tracking, Analysis and Nowcasting) provide efficient storm tracking but do not directly use rainfall rate fields, while
Andrea S. Viteri López, Carlos A. Morales Rodriguez   +1 more
wiley   +1 more source

Numerical study of unsteady tangent hyperbolic fuzzy hybrid nanofluid over an exponentially stretching surface. [PDF]

Sci Rep, 2023
Nadeem M, Siddique I, Riaz Z, Makhdoum BM, Zulqarnain RM, Sallah M.   +5 more
europepmc   +1 more source

Optimal deep learning activity recognition pipeline using animal bio‐logging data

Methods in Ecology and Evolution, Volume 17, Issue 8, Page 2309-2329, August 2026.
Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley   +1 more source

The Legacy of Policy Inaction in Climate‐Growth Models

International Economic Review, Volume 67, Issue 3, Page 915-935, August 2026.
ABSTRACT To better understand the structure and core mechanisms of a broad class of climate‐growth models, we study a simplified version of the dynamic integrated model of climate and the economy (DICE) through the lens of growth theory. We analytically show that this model features a continuum of saddle‐point stable steady states.
Thomas Steger, Timo Trimborn
wiley   +1 more source

High Relative Accuracy Computations With Covariance Matrices of Order Statistics

Mathematical Methods in the Applied Sciences, Volume 49, Issue 11, Page 11794-11810, 30 July 2026.
ABSTRACT In many statistical applications, numerical computations with covariance matrices need to be performed. The error made when performing such numerical computations increases with the condition number of the covariance matrix, which is related to the number of variables and the strength of the correlation between the variables. In a recent work,
Juan Baz, Pedro Alonso, Juan Manuel Peña, Raúl Pérez‐Fernández   +3 more
wiley   +1 more source