Results 111 to 120 of about 7,263 (222)

Post‐Event Ground Motion Estimation using Graph Neural Networks

Earthquake Spectra, Volume 42, Issue 3, August 2026.
Accurate ground motion (GM) estimates are essential for forensic analysis of structural damage following major earthquakes when direct recordings at the location(s) of interest are unavailable. Contemporary post‐event GM estimation methods often leverage nearby observations to constrain estimates of intensity measures (IMs); however, existing ...
Claudio Schill, Brendon A. Bradley
wiley   +1 more source

A Data‐Driven Closed‐Loop Control Approach to Drive Neural State Transitions for Mechanistic Insight

Human Brain Mapping, Volume 47, Issue 11, 01 August 2026.
The study introduces a data‐driven framework combining dynamical systems reconstruction and closed‐loop control to analyze brain‐state transitions in remitted depression. Using fMRI data, we show that these individuals more easily enter but struggle to exit sad mood states, revealing altered connectivity and potential neuromodulation targets for ...
Niklas Emonds, Evelyn Herberg, Martin Fungisai Gerchen, Marc Pritsch, Joshua Rocha, Vera Zamoscik, Peter Kirsch, Roland Herzog, Georgia Koppe   +8 more
wiley   +1 more source

Passenger variants as pan‐clonal markers of pediatric AML: Implications for molecular MRD

HemaSphere, Volume 10, Issue 8, August 2026.
Abstract A streamlined, sensitive, and universal molecular method for MRD detection in pediatric AML remains an unmet clinical need. Here, we propose a novel approach based on tracking somatic non‐coding passenger variants. Using whole‐genome sequencing (WGS) of diagnostic bone marrow DNA, we identify patient‐specific somatic passenger variants, which ...
Ruth Shiloh, Dana Dayan, Ifat Geron, Maor Cohen, Tamar Feuerstein, Jorge Cano‐Nistal, Nurit Gal‐Mark, Shlomit Barzilai‐Birenboim, Dafna Gaash, Michal Hameiri‐Grossman, Avraham Kahan, Jamal Mahajna, Nino Oniashvili, Hava Rosenfeld, Dan Scharf, Keren Shichrur, Elena Shinderman‐Maman, Sarah Elitzur, Yehudit Birger, Shai Izraeli, Yosef E. Maruvka   +20 more
wiley   +1 more source

Scaling and Uncertainty in Soil Moisture Modelling: A Probabilistic Deep Learning Perspective

Hydrological Processes, Volume 40, Issue 8, August 2026.
A probabilistic Gaussian Mixture Long Short‐Term Memory framework is used to investigate soil moisture dynamics across the continental United States using meteorological forcings and physiographic attributes. Predictions are evaluated at unseen International Soil Moisture Network sites to ensure realistic regional transfer.
Balazs Bischof, Erwin Zehe, Ralf Loritz
wiley   +1 more source

The Impact and Reliability of Tissue Segmentation on In Vivo Magnetic Resonance Spectroscopy Metabolite Quantification

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 516-529, August 2026.
ABSTRACT Purpose Quantification of metabolite concentrations using MRS requires tissue‐dependent signal corrections. Accurate estimation of voxel tissue composition is therefore essential. Commonly used brain tissue segmentation tools differ in their algorithms and implementation, potentially introducing variability in MRS‐derived concentration ...
Jessica Archibald, Kay Chioma Igwe, Antonia Kaiser, Karl Landheer, Jaimie Lee, John L. K. Kramer, Aaron T. Gudmundson, Helge J. Zöllner, Georg Oeltzschner, Candace C. Fleischer, Niklaus Zölch, Jamie Near, Mark Mikkelsen   +12 more
wiley   +1 more source

Systemic bio‐inequity links poverty to biodiversity and induces a conservation paradox

People and Nature, Volume 8, Issue 8, Page 2700-2719, August 2026.
Abstract Biodiversity is declining globally while inequity is growing, and poverty rates are not improving. Global sustainable development and conservation initiatives aim to address biodiversity loss and poverty simultaneously. Through text analysis of global biodiversity policies, we identified a consistent narrative that countries with high ...
Conor Waldock, Van Thi Hai Nguyen, Margaret Awuor Owuor, Anna Samwel Manyanza, Ole Seehausen   +4 more
wiley   +1 more source

A revision of the genus Armeria (Plumbaginaceae) in peninsular Italy and Sicily through an integrative taxonomic approach

TAXON, Volume 75, Issue 4, August 2026.
Abstract The genus Armeria in peninsular Italy has been affected by taxonomic ambiguity for more than a century due to high morphological variability. We present a comprehensive revision of peninsular Italian and Sicilian Armeria species, using an integrated taxonomic approach that combines molecular phylogeny, plant and seed morphometrics, and ...
Manuel Tiburtini, Gianluigi Bacchetta, Fabrizio Bartolucci, Liliana Bernardo, Fabio Conti, Emanuela Di Iorio, Gianniantonio Domina, Duilio Iamonico, Mauro Iberite, Luca Paino, Marco Sarigu, Paolo Caputo, Lorenzo Peruzzi   +12 more
wiley   +1 more source

Spatial Dependence of High‐Frequency Ground Motion Along the Chilean Subduction Zone From Aftershock Sequences of the Mw 8.8 Maule and Mw 8.2 Iquique Earthquakes

Earth and Space Science, Volume 13, Issue 8, August 2026.
Abstract The Chilean subduction zone is a highly active seismic region, producing megathrust earthquakes approximately every decade. We apply a stochastic approach to assess spatial variations in seismic wave characteristics along the Chilean trench using weak motion data.
Asiye Aziz Zanjani, Robert B. Herrmann
wiley   +1 more source

Provenance Analysis Based on Cluster In‐Betweenness and Support Vector Machines: Identifying Migrant Candidates Using Multi‐Isotope Fingerprints

Archaeometry, Volume 68, Issue 4, Page 607-619, August 2026.
ABSTRACT Provenance reconstruction using strontium and lead stable isotopes can produce complex multidimensional fingerprints, challenging traditional methods. Identifying nonlocals, who migrated between sites, is a major task. Migrants are identifiable by divergent multi‐isotope fingerprints due to isotopic mixing between origin and destination sites.
Andrea Göhring, Daniyal Kazempour, Jan Robert Bensien, Sweety Mohanty, Claudius Zelenka, Matthias Renz, Peer Kröger, Gisela Grupe, Amei Lang   +8 more
wiley   +1 more source

Supervised and Unsupervised AI-Driven Structural Health Monitoring Framework for Additively Manufactured Metal Components. [PDF]

Sensors (Basel)
Byfield R, Shabaka A, Tansel I.
europepmc   +1 more source