Results 261 to 270 of about 891,227 (355)
ABSTRACT This study investigates the combined effect of top management environmental concern and eco‐product development effectiveness on firms' environmental performance. The study also considers the moderating impact of environmental information sharing on this process.
Ayodele C. Oniku +4 more
wiley +1 more source
Mechanisms of Isoprene Decoupling in Poplar: Precursor Dynamics and VOC Fluxes Under Acute Thermal Exposure and Elevated CO<sub>2</sub>. [PDF]
Portillo-Estrada M.
europepmc +1 more source
Assimilation of Hydrocarbons and Lipids by Means of Biofilm Formation
Pierre Sivadon, R Grimaud
openalex +2 more sources
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source
Restoration of deuterium marker for multi-isotope mapping of cellular metabolic activity. [PDF]
Yamborko N +10 more
europepmc +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Physically consistent global atmospheric data assimilation with machine learning in latent space. [PDF]
Fan H +8 more
europepmc +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
The SlDOF3.4-SlCDF4 module improves tomato growth under low-nitrogen conditions. [PDF]
Zeng S +7 more
europepmc +1 more source

