Results 141 to 150 of about 1,205,834 (315)
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Estimates of reductions in greenhouse gas (GHG) emissions from lower demand for cattle‐based products must account for substitution effects. This study collected data through two surveys—one on ground beef and another on dairy milk—to evaluate substitution effects and potential GHG reductions.
Brandon R. McFadden +5 more
wiley +1 more source
Ekonometria, 2019 The traditional methods of risk quantification include a sensitivity analysis, a scenario analysis and a historical simulation. The true nature of risk factors changes is ignored in the traditional 'ceteris paribus' approach to a sensitivity analysis ...
Jan Kaczmarzyk
doaj
Trump Tariffs 2.0: Assessing the Impacts on US Distilled Spirits Imports
Agribusiness, EarlyView.ABSTRACT The proposed 25% tariff on Mexico and Canada could have significant repercussions on US imports of distilled spirits. This study estimates US import demand across various spirit categories (e.g., tequila, whiskey) and assesses the potential impact of the proposed tariff.
Andrew Muhammad
wiley +1 more source
Reliability Indices Utlization in Combined Heat and Power ( CHP ) Optimal Operation
Majlesi Journal of Electrical EngineeringThe reason that cogeneration is being used more compared to separate heat and power is because it is more efficient. In this paper the goal is finding the optimized CHP system utility size and thermal storage considering reliability limits of boiler and
Hamed Hosseinnia +2 more
doaj
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
Agribusiness, EarlyView.ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
Search model based on Kalman Filter and Monte Carlo simulation. [PDF]
PLoS OneLiu J, Li Y, Liu X.
europepmc +1 more source
AI in chemical engineering: From promise to practice
AIChE Journal, EarlyView.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
A Monte Carlo simulation study of sample size requirements for the Graded Response Model. [PDF]
PLoS OneIkeda T.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
Advanced Intelligent Discovery, EarlyView.We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source