Results 141 to 150 of about 74,371 (287)

What drives animal responses to high severity fire? The role of functional traits

open access: yesBiological Reviews, EarlyView.
ABSTRACT Fire regimes are changing worldwide, with increases in the frequency, extent, and severity of fires posing growing risks to biodiversity. Fire severity – the degree of habitat alteration following fire – strongly influences both immediate survival and long‐term recovery of fauna.
Grace A. Vielleux   +3 more
wiley   +1 more source

Efficient propagation of common ash in vitro

open access: yesNew Biotechnology, 2009
V. Lebedev, K. Schestibratov
openaire   +1 more source

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi   +3 more
wiley   +1 more source

Paying for Privilege: How Political Contributions Undermine Environmental Sustainability—And How Executive Contracting Can Restore Balance

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT We are interested in investigating whether firms use political donations as a license to neglect environmental sustainability. We further deepen the examination by exploring the role of executive contracting. Drawing on a wide range of data between 2002 and 2021 and a global sample, our findings confirm that firms use political contributions ...
Habiba Al‐Shaer   +3 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

Insights into the composition and properties of fly ash emissions from a municipal solid waste power plant

open access: yesEnvironmental Research Communications
This study examines the fly ash from Soc Son municipal waste power plant (SMPP) and suggests ways to repurpose it to reduce its environmental impact.
Tra Mai Ngo   +10 more
doaj   +1 more source

Comparative Effects of White and Black Garlic on the Technological, Nutritional, and Sensory Properties of White and Whole Wheat Bread

open access: yesCereal Chemistry, EarlyView.
ABSTRACT Background and Objectives The response of bread systems to ingredient enrichment varies depending on flour composition and matrix structure. This study investigated the impact of white garlic (WG) and black garlic (BG) enrichment (1%–7%) on the technological properties, composition, antioxidants, and sensory characteristics of refined white ...
Derya Ozalp Unal   +4 more
wiley   +1 more source

Genetic Characterization of Common ash (Fraxinus excelsior L.) populations in Bosnia and Herzegovina

open access: yesPeriodicum biologorum, 2008
Background and Purpose: Common ash (Fraxinus excelsior L.) is a species with a widespread distribution in Europe. It mostly grows on mesophyll sites, mainly in karst valleys and by forest creeks, and in Herzegovina at northern expositions and higher altitudes with somewhat better types of soil.
Ballian, D.   +4 more
openaire   +2 more sources

Potential for use of Al/machine learning for pharmacovigilance: Is there a role for regulators?

open access: yes
British Journal of Clinical Pharmacology, EarlyView.
Christina Gao   +3 more
wiley   +1 more source

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