Results 71 to 80 of about 3,327 (217)

Dual Functions of Dietary Rubber Seed Oil Supplementation: Enriching N‐3 Polyunsaturated Fatty Acids and Enhancing Antioxidant Capacity in Pekin Ducks

Animal Research and One Health, EarlyView.
Dietary RSO supplementation improved growth performance, simultaneously enriched n‐3 polyunsaturated fatty acids (n‐3 PUFA), and enhanced antioxidant capacity in Pekin ducks, which suggested that RSO has the potential to be a novel n‐3 PUFA source and an antioxidant for Pekin ducks to generate animal functional foods.
Lei Zhuang, Yongbao Wu, Zitao Zhao, Junting Cao, Yanhong Guo, Zhanyue Wu, Qimeng Wang, Peilong Yang, Sen Wu, Zhiguo Wen, Shuisheng Hou   +10 more
wiley   +1 more source

Scanning Parametric Sediment Echosounder as Tool for Underwater Archaeological Prospection

Archaeological Prospection, EarlyView.
ABSTRACT Underwater cultural heritage 3D prospection techniques, especially for remains that are partly buried in the ground, are only very rarely available and often can only be applied with considerable technical effort. To overcome this limitation, we evaluate a methodological adaption of widely used and available single channel parametric sediment ...
Dennis Wilken, Philipp Held, Jacob Geersen, Marcel Bradtmöller, Peter Feldens, Jens Schneider v. Deimling   +5 more
wiley   +1 more source

Back to Nature or Technology to the Rescue? Climate Managers' Preferences for Investment in Carbon Dioxide Removal

Business Strategy and the Environment, EarlyView.
ABSTRACT Firms are increasingly looking into carbon dioxide removal (CDR), a set of options to take past emissions of greenhouse gases out of the atmosphere. Often two basic categories of CDR are distinguished: nature‐based solutions, such as planting trees or restoring wetlands, and technology‐based solutions, such as various forms of carbon capture ...
Sabrina Mili, Robert Mai, Rolf Wüstenhagen, Moritz Loock   +3 more
wiley   +1 more source

Do High Temperatures Affect Firm Demography? Evidence From Italy

Business Strategy and the Environment, EarlyView.
ABSTRACT This study analyses the impact of high temperatures and heat stress on Italian firm demography during 2009–2022. Combining provincial‐firm‐level data with a high‐resolution multidecadal meteorological dataset, we investigate whether high temperatures—absolute and anomalous—affect firm entry and exit rates.
Concetta Carnevale, Danilo Drago, Francesco Trivieri, Francesco De Simone   +3 more
wiley   +1 more source

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

Cereal 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, Sarah Hogarth, Andrea K. Stone, Gene C. Arganosa, Pankaj Bhowmik, Tom D. Warkentin, Jordan Ubbens, Michael T. Nickerson   +7 more
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
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, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall, Lawrence Koech, Douw Faurie, Khanyisile Lepota   +3 more
wiley   +1 more source

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

The 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, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

The Benjamin–Ono Equation in the Zero‐Dispersion Limit for Rational Initial Data: Generation of Dispersive Shock Waves

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT The leading‐order asymptotic behavior of the solution of the Cauchy initial‐value problem for the Benjamin–Ono equation in L2(R)$L^2(\mathbb {R})$ is obtained explicitly for generic rational initial data u0$u_0$. An explicit asymptotic wave profile uZD(t,x;ε)$u^\mathrm{ZD}(t,x;\epsilon)$ is given, in terms of the branches of the multivalued ...
Elliot Blackstone, Louise Gassot, Patrick Gérard, Peter D. Miller   +3 more
wiley   +1 more source

Macroecological relationships of ant diversity with increasing aridity in Australian tropical savannas: contrasting responses of epigaeic and hypogaeic assemblages

Ecography, EarlyView.
Studies using climatic gradients play a key role in our understanding of the importance of rainfall and temperature as factors regulating species diversity and distribution, and thus of likely responses to climate change. However, such studies currently consider above‐ground species only, ignoring the diverse hypogaeic (subterranean) invertebrate fauna.
François Brassard, Giovanny Destour, Tristan Klaftenberger, Alan N. Andersen   +3 more
wiley   +1 more source