Results 201 to 210 of about 3,838,312 (316)
ABSTRACT This study examines the intricate and asymmetric relationship between corporate greenhouse gas emission disclosure and stock returns and crash risks, focusing on listed firms in six Commonwealth African countries characterized by regulatory fragility, limited investor protection, and growing climate vulnerability.
Idorenyin J. Okon +2 more
wiley +1 more source
REPEL - Random Embedding Perturbation for Enhanced Learning of Protein Function. [PDF]
Zhou D, Cowen LJ, Wu K, Hu X, Slonim DK.
europepmc +1 more source
ABSTRACT Public organisations often experience a discrepancy between improvements in technical efficiency and stakeholders' perceptions of integrity and performance. This study analyses the mechanisms that may underlie this efficiency–perception discrepancy in Spanish Defence Delegations during 2020–2023.
José Solana‐Ibáñez +1 more
wiley +1 more source
Fragment-Based Development of NSP14 Exonuclease Inhibitors Confounded by Batch-to-Batch Variability. [PDF]
Coker JA +7 more
europepmc +1 more source
ABSTRACT Ab initio path integral Monte Carlo (PIMC) simulations constitute the gold standard for the estimation of a broad range of equilibrium properties of a host of interacting quantum many‐body systems spanning a broad range of conditions from ultracold atoms to warm dense quantum plasmas.
Paul Hamann +2 more
wiley +1 more source
Aortopulmonary fistula as a rare complication of bioprosthetic aortic valve endocarditis: a case report. [PDF]
Saliba T +3 more
europepmc +1 more source
Stability Bounds for the Generalized Kadanoff‐Baym Ansatz in the Holstein Dimer
ABSTRACT Predicting real‐time dynamics in correlated systems is demanding: exact two‐time Green's function methods are accurate but often too costly, while the Generalized Kadanoff‐Baym Ansatz (GKBA) offers time‐linear propagation at the risk of uncontrolled behavior. We examine when and why GKBA fails in a minimal yet informative setting, the Holstein
Oscar Moreno Segura +2 more
wiley +1 more source
Multi-context seeds enable fast and high-accuracy read mapping. [PDF]
Tolstoganov I +3 more
europepmc +1 more source
EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang +9 more
wiley +1 more source
Do what is needed; bill for it* (a Halloween hot take). [PDF]
Leveridge M.
europepmc +1 more source

