Results 171 to 180 of about 51,039 (292)

Do Governance Structures Drive Green Building Adoption? A Machine Learning Approach With Random Forests

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez   +3 more
wiley   +1 more source

Free Fatty Acids Induce Endoplasmic Reticulum Stress-Mediated Apoptosis of Macrophages in Dairy Cows with Ketosis. [PDF]

open access: yesAnimals (Basel)
Jia H   +11 more
europepmc   +1 more source

When the Remedy Is Worse Than the Illness: Carbon Performance and Growth Opportunities Under the EU ETS

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This paper examines how the European Union Emissions Trading System allowance prices reshape the link between corporate environmental performance (CEP) and firms' growth expectations, measured by Tobin's Q. Using a panel of 1370 listed firms across 15 European countries from 2005 to 2024 and high‐dimensional fixed‐effects models, we first ...
Adrián Ferreras
wiley   +1 more source

From Green Governance to Biodiversity Strategy: The Role of Environmentally Experienced Directors in Chinese Firms

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study investigates how directors with environmental protection (EP) backgrounds influence corporate biodiversity concern (BIO) among Chinese A‐share listed firms from 2008 to 2023. Drawing on Upper Echelons Theory, we argue that directors' environmental expertise shapes firms' biodiversity strategies.
Chengming Huang   +2 more
wiley   +1 more source

Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition

open access: yesCereal Chemistry, EarlyView.
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson   +7 more
wiley   +1 more source

Quantifying germination cardinal temperatures of ten forage legumes using non-linear regression models. [PDF]

open access: yesFront Plant Sci
Shi M   +12 more
europepmc   +1 more source

Optimal model‐based design of experiments for parameter precision: Supercritical extraction case

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley   +1 more source

Spouted bed drying parameters and adjuvant effects on polyphenol retention and antioxidant activity in mango peel powders

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Spouted bed drying of mango peels with colloidal SiO2 and corn starch produces a free‐flowing powder with reduced agglomeration, increased drying yield, and preserved antioxidant and polyphenol content. Abstract The production of polyphenol‐rich powders is a promising strategy for valorizing agro‐industrial byproducts. This study evaluated drying yield,
Guilherme Henrique Alves Pinto   +3 more
wiley   +1 more source

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