Structure and Spectroscopy of Criegee Intermediates in Gas‐ and Aqueous Environments
ABSTRACT The dynamics and spectroscopy of the small (H2COO) and large (CH3CHOO) Criegee intermediates (CIs) in the gas phase, inside/on water droplets, on amorphous solid water (ASW) and in bulk water are investigated using validated energy functions.
Cangtao Yin +2 more
wiley +1 more source
Computationally efficient x-ray simulation framework using parameterized material attenuation models in anatomically detailed imaging. [PDF]
Nassi M +3 more
europepmc +1 more source
Gradual volatile memristor–based artificial neurons with high uniformity for neuromorphic computing
Schematic of leaky integrate‐and‐fire artificial neurons for MNIST image classification. Abstract Artificial neurons are pivotal for neuromorphic hardware, but the development of compact and uniform devices remains challenging. Conventional volatile memristors suffer from abrupt switching, which hinders spatiotemporal consistency.
Pengtao Li +12 more
wiley +1 more source
Mobility-driven synthetic contact matrices as a scalable solution for real-time pandemic response modeling. [PDF]
Di Domenico L +4 more
europepmc +1 more source
Abstract This paper uses counterfactual simulations to examine the impact of bilateral trade linkage disruptions on the U.S. agricultural and food trade system. Using an econometric gravity model, we estimate the relationship between disruptions and trade flows, identify critical state‐to‐state trade linkages whose disruption would significantly impact
Taejun Mo, Sandy Dall'erba
wiley +1 more source
On the Storage-Communication Trade-Off in Graph-Based <i>X</i>-Secure <i>T</i>-Private Linear Computation. [PDF]
Liu Y, Jia H, Jia Z.
europepmc +1 more source
Forecasting Related Time Series
ABSTRACT A collection of time series are “related” if they follow similar stochastic processes and/or they are statistically dependent. This paper proposes a related time series (RTS) forecasting model that exploits these relationships. The model's foundation is a set of univariate Gaussian autoregressions, one for each series, which are then augmented
Ulrich K. Müller, Mark W. Watson
wiley +1 more source
Oscillatory and Aperiodic Contributions to EEG Event-Related Time-Frequency Metrics During Cognitive Control and Reinforcement Processing: A Registered Report. [PDF]
Rawls E, Sponheim SR.
europepmc +1 more source
ABSTRACT We present four novel tests of equal predictive accuracy and encompassing á Pitarakis (2023, 2025) for factor‐augmented regressions. Factors are estimated using cross‐section averages (CAs) of grouped series and our theoretical findings are empirically relevant: asymptotic normality, robustness to an overspecification of the number of factors,
Alessandro Morico, Ovidijus Stauskas
wiley +1 more source
Structural fatigue failure analysis and lifetime reliability monitoring strategy of the lattice jib in all-terrain cranes. [PDF]
Yao J +5 more
europepmc +1 more source

