Results 181 to 190 of about 33,884 (245)

Depositional and stratigraphic evolution of a Permian megalake system: Implications for seiche‐influenced models

The Depositional Record, Volume 12, Issue 2, April 2026.
During the Late Permian, the rise of the Gondwanides Belt trapped marine waters, giving birth to a vast megalake. This lake shifted between overfilled, balanced‐fill and underfilled stages that are recorded by high‐frequency accommodation changes, while meteorological seiches shaped the sedimentary dynamic and produced heterolithic beds.
B. Christofoletti, L. V. Warren, F. G. Varejão, M. G. Rodrigues, M. G. Simões, D. V. Palcu, M. L. Assine   +6 more
wiley   +1 more source

Metodologia de Aquisição e Processamento em Dados de Georradar (GPR) nos Depósitos Quaternários da Porção Emersa da Bacia de Pelotas

, 2014
Eduardo Guimarães Barboza, Maria Luiza Corrêa da Câmara Rosa, Felipe Caron   +2 more
openalex   +1 more source

Prognostics and Health Management in Polymer Electrolyte Fuel Cells: Current Trends, Challenges, and Future Directions

Fuel Cells, Volume 26, Issue 2, April 2026.
ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi, Kourosh Malek, Thomas Kadyk, Nadiia Kulyk, Christophe Gerling, Michael H. Eikerling   +5 more
wiley   +1 more source

AI-Assisted Physics-Informed Predictions of Degradation Behavior of Polymeric Anion Exchange Membranes. [PDF]

J Phys Chem B
Schertzer W, Al Otmi M, Sampath J, Lively RP, Ramprasad R.   +4 more
europepmc   +1 more source

Velocity estimation in GPR data based on diffraction analysis: Methodology and application to Antarctic firn

Near Surface Geophysics, Volume 24, Issue 2, Page 170-186, April 2026.
Abstract This study presents a methodological framework for estimating electromagnetic wave velocities in ground‐penetrating radar (GPR) data based exclusively on the analysis of diffractions. The approach integrates diffraction separation using the plane wave destruction algorithm and subsequent velocity refinement through the residual diffraction ...
Ian E. Vogado, José Jadsom S. Figueiredo, Jandyr M. Travassos, Saulo S. Martins   +3 more
wiley   +1 more source

Topographic correction for ground penetrating radar for enhanced detection of dike subsurface anomalies. [PDF]

Sci Rep
Li C, Zhao X.
europepmc   +1 more source

Weibull‐Neural Network Framework for Wind Turbine Lifetime Monitoring and Disturbance Identification

Wind Energy, Volume 29, Issue 4, April 2026.
ABSTRACT Wind turbines are vital for sustainable energy, yet their reliability under diverse operational and environmental conditions remains a challenge, often leading to costly failures. This study presents a novel Weibull‐Neural Network Framework to enhance wind turbine lifetime monitoring by estimating reliability (R(t)) and mean residual life (MRL)
Fatemeh Kiadaliry, Sadigh Raissi, Alireza Rashidi Komijan   +2 more
wiley   +1 more source

Sex Differences in the Effects of Etonogestrel on Respiratory Recovery in an In Vivo Rat Model of Central Chemoreflex Impairment

Acta Physiologica, Volume 242, Issue 4, April 2026.
ABSTRACT Aim Rhythmic breathing movements driven by the brainstem rely on chemosensory inputs to homeostatically adjust motor output to the prevailing metabolic demand. The central CO2 chemoreflex is a critical component of this neural circuitry, as defects in these sensors cause hypoventilation syndromes, which are typically difficult to manage ...
Silvia Cardani, Tara A. Janes, Ryaad Asif, Silvia Pagliardini   +3 more
wiley   +1 more source

Longitudinal brain-age predictions comprising long-duration spaceflight missions. [PDF]

NPJ Microgravity
Tang G, Patil KR, Hoffstaedter F, More S, Eickhoff SB, Jillings S, Jeurissen B, Tomilovskaya E, Gerlach D, Nosikova I, Riabova A, Pechenkova E, Petrovichev V, Rukavishnikov I, Makovskaya L, Ombergen AV, Wuyts FL, Eulenburg PZ.   +17 more
europepmc   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source