Data Assimilation (DA) is an important mathematical method for predicting turbulent flows for weather forecasting. However, the origins of the critical length scale, a crucial parameter in this method ...
A new framework for understanding the nonmonotonic temperature dependence and sign reversal of the chirality-related anomalous Hall effect in highly conductive metals has been developed by scientists ...
Researchers have developed a rigorous theoretical framework that explains how fluorescence signals are generated, captured, and transmitted in D-shaped fiber optic sensors. The research addresses a ...
We study capital controls on outflows (CCOs) in situations of macroeconomic and financial distress. We present novel empirical evidence indicating that CCO implementation is associated with crises and ...