Results 151 to 160 of about 88,814 (288)

How Can Eco‐Friendly Products Be Marketed Effectively? Evidence From a Multinational Study on the Intention–Behaviour Gap for Smartphones Made With Eco‐Friendly Substitute Materials

Business Strategy and the Environment, EarlyView.
ABSTRACT As global environmental concerns intensify, firms are increasingly expected to embed environmental responsibility into their core strategies. However, uncertainty remains over whether eco‐friendly initiatives are economically rewarded, reflecting ambiguity in consumers' true environmental preferences.
Kimitaka Nishitani, Eri Nakamura, Fumikazu Morimura, Yumi Nakamori, Tsugio Watanabe, Daisuke Furuta, Tomoya Mizuta   +6 more
wiley   +1 more source

Penalized eigenvalue block averaging: Extension to nested model comparison and Monte Carlo evaluations. [PDF]

Behav Res Methods
Foldnes N, Grønneberg S, Moss J.
europepmc   +1 more source

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

The 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

Constructing G-computation Estimators: Two Case Studies in Selection Bias. [PDF]

Epidemiology
Zivich PN, Lu H.
europepmc   +1 more source

Best linear plus quadratic unbiased estimation of parameters in mixed linear models [PDF]

Applicationes Mathematicae, 1977
Gnot, S., Klonecki, W., Zmyslony, R.
openaire   +2 more sources

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

How to improve statistical power in a trial with SCA2 patients using natural history data. [PDF]

Trials
Tran M, Poulet PE, Petit E, Durr A, Klockgether T, Ashizawa T, Coarelli G, du Montcel ST.   +7 more
europepmc   +1 more source

Predicting cervical cancer DNA methylation from genetic data using multivariate CMMP

Canadian Journal of Statistics, EarlyView.
Abstract Epigenetic modifications link the environment to gene expression and play a crucial role in tumour development. DNA methylation, in particular, is gaining attention in cancer research, including cervical cancer, the focus of this study.
Hang Zhang, Steven Chen, Raymond Balise, Jiming Jiang, Nagi Ayad, J. Sunil Rao   +5 more
wiley   +1 more source

DIA-Estimator and Multidimensional Model Misspecifications: GNSS-based Positioning Safety Analysis for UAV. [PDF]

GPS Solut
Ciuban S, Teunissen PJG, Tiberius CCJM.
europepmc   +1 more source

Green Human Resource Management (GHRM) and Environment Social Governance (ESG): A Systematic Literature Review

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This paper presents a systematic literature review exploring the intersection of Green Human Resource Management (GHRM) and Environmental, Social, and Governance (ESG) criteria. The study synthesizes current research, identifies prevailing trends, and highlights gaps within this emerging field.
Zile Huma, Emma Garcia Meca, Jennifer Martínez‐Ferrero, Nazim Hussain   +3 more
wiley   +1 more source