Laminar Burning Velocity of Ammonia‐Hydrogen Mixtures Predicted by Machine Learning
Ammonia–hydrogen blends aid defossilization, but slow combustion kinetics require complex modeling. Although chemical kinetic modeling is computationally expensive, machine learning surrogates offer fast predictions. This study trained GPR, DT, and ANN models on 1445 experimental points.
Georg Klepp +2 more
wiley +1 more source
Too Sensitive to Fail: The Impact of Sentiment Connectedness on Stock Price Crash Risk. [PDF]
Cao J, He G, Jiao Y.
europepmc +1 more source
Smart sensing-enabled risk-aware nitrogen prescriptions via conformal profit bounds for precision agriculture. [PDF]
Khan A +7 more
europepmc +1 more source
EUPopLink Country report - Serbia. [PDF]
Lazarevic A, Markovic A.
europepmc +1 more source
An Interpretable Ensemble Machine Learning Framework for Predicting the Ultimate Flexural Capacity of BFRP-Reinforced Concrete Beams. [PDF]
Jueyendah S, Ağcakoca E.
europepmc +1 more source
"I feel more comfortable with a female doctor": gender preference, cultural context, and health experiences of young Syrian migrant women in Turkey. [PDF]
Güllü A.
europepmc +1 more source
Community conservatism is widespread throughout microbial phyla and environments
Malfertheiner L +3 more
europepmc +1 more source
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Unexpected Accruals and Conditional Accounting Conservatism
Journal of Business Finance and Accounting, 2007Abstract: This paper examines the impact of management discretion over accruals on conditional accounting conservatism, defined as the tendency of accountants to recognize bad news on a timelier basis than good news. Prior research suggests that conditional accounting conservatism reflected in earnings is mainly due to the accrual component of ...
Jinhan Pae
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