Results 161 to 170 of about 42,999 (309)

Influence of Particle Size, Moisture, and Cloud Density on Wood Dust Ignition

open access: yesChemie Ingenieur Technik, EarlyView.
The ignition and combustion of particle clouds are strongly affected by particle interactions. This study uses spectroscopy to examine effects of particle size, water content, and cloud density. Results show ignition delay rises with larger size and density, whereas combustion duration depends mainly on water and density due to moisture‐driven ...
Matteo Giesen   +2 more
wiley   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales   +6 more
wiley   +1 more source

Estructura y composición de los ensamblajes estacionales de coleópteros (Insecta: Coleoptera) del bosque mesófilo de montaña en Tlanchinol, Hidalgo, México, recolectados con trampas de intercepción de vuelo Structure and composition of seasonal coleopterous assemblages (Insecta: Coleoptera) in the cloud forest of Tlanchinol, Hidalgo, Mexico collected with flight interception traps

open access: yesRevista Mexicana de Biodiversidad, 2010
Se describen y comparan los ensamblajes de coleópteros de las temporadas de lluvias y sequía del bosque mesófilo de montaña de Tlanchinol, Hidalgo, que se obtuvieron en 8 recolectas mensuales usando trampas de intercepción de vuelo.
Ma. del Carmen Pedraza   +2 more
doaj  

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin   +2 more
wiley   +1 more source

Mapping the Intellectual and Industrial Evolution of Corporate Social Responsibility: A Cross‐Sector Scientometric Analysis Using Main Path and Cluster Methods

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Corporate social responsibility (CSR) has undergone continuous expansion across industries, yet its intellectual evolution and cross‐sectoral linkages remain insufficiently understood. This study provides a comprehensive, data‐driven assessment of CSR's developmental trajectories by analyzing 3314 Web of Science articles using key‐route main ...
Wei‐Hao Su   +2 more
wiley   +1 more source

The Physiological Ecology of Fraser FIr in Southern Appalachian Cloud Forests

open access: yes, 2009
Fraser fir (Abies fraseri (Pursh.) Poiret is a tree species endemic to the southern Appalachian Mountains, USA. This species is found in only six mountain-top populations in that span between southwestern Virginia and the Great Smoky Mountains of ...
Reinhardt, Keith
core  

Landscape of Research on Accounting Scope 3 Emissions: A Review of Methodologies and Data

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Scope 3 emissions have been proposed as a critical metric for evaluating corporate carbon footprint, identifying emission sources, and developing mitigation solutions. Yet, widespread corporate reporting of Scope 3 emissions remains limited, highlighting a critical gap in both research and practice.
Zeyu Wang   +3 more
wiley   +1 more source

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