Results 231 to 240 of about 117,250 (270)
Statistics of cortical representational drift can enable robust readout. [PDF]
Micou C, O'Leary T.
europepmc +1 more source
This study demonstrates that ERA5 provides more accurate surface radiation flux estimates than MERRA2 across the Southern Brazilian Pampa. Machine learning models, particularly Random Forest, further improved the precision of reanalysis data for climate applications.
Olusola Samuel Ojo +5 more
wiley +1 more source
Monte Carlo Based Techniques for Quantum Magnets with Long-Range Interactions. [PDF]
Adelhardt P +3 more
europepmc +1 more source
From Rare to Recurrent: Intensifying Hot–Dry Extremes Across Romania
Romania has undergone a marked shift toward more frequent and spatially extensive compound hot–dry months since the 1990s, with persistent hotspots in the eastern Moldavian Plateau and the lower Danube–Bărăgan–Black Sea lowlands and comparatively buffered conditions at higher elevations.
Viorica Nagavciuc, Monica Ionita
wiley +1 more source
Excited scalar and pseudoscalar mesons in the extended linear sigma model. [PDF]
Parganlija D, Giacosa F.
europepmc +1 more source
ERA5 Can Overstate Changes in the Frequency of Extreme Heat: A New Zealand Case Study
ERA5 reproduces broad patterns of summer warming across New Zealand but underestimates temperature variability and warm‐tail extremes, biasing estimates of extreme heat risk. ABSTRACT Summertime temperature extremes exert profound impacts on human health, ecosystems, and infrastructure, yet their characteristics and drivers remain poorly quantified in ...
Sayed Waseem Iqbal +2 more
wiley +1 more source
The waning of the WIMP: endgame? [PDF]
Arcadi G +9 more
europepmc +1 more source
Dipole operator constraints on composite Higgs models. [PDF]
König M, Neubert M, Straub DM.
europepmc +1 more source
Raman Spectroscopy and Generative Variational Autoencoders for Metallurgical Coke Quality Prediction
An integrated soft sensor framework combining standardized Raman spectroscopy, synergy‐vector feature selection, variational autoencoder‐based data augmentation, and regression models (kNN, PLS, and SVR) predicts metallurgical coke quality (CSR and DI).
Pedro Henrique Agrimpio Coutinho +2 more
wiley +1 more source

