Results 81 to 90 of about 10,032,701 (265)
Business Strategy and the Environment, EarlyView.ABSTRACT Environmental, Social, and Governance (ESG) controversies increasingly influence investment decisions, corporate accountability, and sustainability regulation. However, existing commercial controversy measures often rely on proprietary methodologies that limit transparency and make it difficult to understand how controversy assessments are ...
Zeina Samy Mohamed +3 more
wiley +1 more source
, 2023 Mean performance (Best Linear Unbiased Prediction (BLUP)) and percentage of genotypes in the different gene pools for each of the three phenotype based population clusters.
Clare Mukankusi (12455169) +11 more
core +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Environmental sustainability and the broader Environmental, Social and Governance (ESG) agenda have become prominently proclaimed organisational priorities, yet their integration into core decision‐making remains uneven. While greenwashing research has largely focused on communication and disclosure, it has paid less attention to the internal ...
Olayiwola Oladiran +4 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines the impact of the shadow economy (SE) on environmental fiscal capacity (environmental tax revenue, public environmental expenditure, and biodiversity expenditure) and the moderating role of financial technology (FinTech) across OECD countries over 2004–2022.
Sami Ur Rahman +3 more
wiley +1 more source
Spanish Journal of Agricultural Research, 2019 The empirical best linear unbiased prediction (eBLUP) is usually based on the assumption that the residual error variance (REV) is homogenous. This may be unrealistic, and therefore limits the accuracy of genotype evaluations for multi-location trials ...
Renhe Zhang, Xiyuan Hu
doaj +1 more source
Trends and Future Directions in Organic Chemistry for Drug Discovery
Chemistry – A European Journal, EarlyView.Organic synthesis is being reshaped by the convergence of catalytic innovation, automation, artificial intelligence, and emerging therapeutic modalities. Late‐stage functionalization, photoredox and electrochemical methods, biocatalysis, flow chemistry, DELs, and proximity‐based drugs are examined as components of closed‐loop discovery.
Paweł Kozyra, Maciej Masłyk
wiley +1 more source
BMC Genomics, 2012 Background Several methods have recently been developed to identify regions of the genome that have been exposed to strong selection. However, recent theoretical and empirical work suggests that polygenic models are required to identify the genomic ...
Decker Jared E +10 more
doaj +1 more source
Bootstrap for estimating the mean squared error of the spatial EBLUP [PDF]
This work assumes that the small area quantities of interest follow a Fay-Herriot model with spatially correlated random area effects. Under this model, parametric and nonparametric bootstrap procedures are proposed for estimating the mean squared error ...
Isabel Molina +2 more
core
The best EBLUP in the Fay–Herriot model
, 2010 Empirical best linear unbiased prediction, Mean squared error, Small area estimation, Third-order approximation,
En-Tzu Tang, Jiming Jiang
core +1 more source
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 +2 more
wiley +1 more source