Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting <i>E. coli O157:H7</i> in poultry meat. [PDF]
Tian Y +8 more
europepmc +1 more source
What drives animal responses to high severity fire? The role of functional traits
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
Editorial: introduction to the special issue "methodological challenges of complex latent mediator and moderator models". [PDF]
Irmer JP +2 more
europepmc +1 more source
A Decision‐Making Model for Implementing Green Technology in Sustainable Building Projects
ABSTRACT Green technology (GT) adoption is pivotal for reconciling environmental stewardship with economic viability in the built environment, particularly in resource‐constrained emerging economies. However, empirical evidence on how specific GT drivers actively mitigate adoption barriers remains scarce.
Abdelazim Ibrahim +5 more
wiley +1 more source
A deep learning framework for automated fracture detection and localization in radiographic images using convolutional neural networks. [PDF]
Lu J +5 more
europepmc +1 more source
Bridging Global Green HRM and Local Behavior: The Supervisory Role in MNE Subsidiaries
ABSTRACT Multinational enterprises (MNEs) increasingly deploy global Green Human Resource Management (GHRM) practices to drive environmental sustainability across geographically dispersed subsidiaries. However, translating these standardized practices into local employee green behavior presents significant implementation challenges, particularly in ...
Jeeyoon Jeong, DuckJung Shin, Wanyun Tai
wiley +1 more source
The Influence of Corporate Sustainability Rating Methodology on Disclosure Behavior
ABSTRACT The rise of environmental, social, and governance (ESG) investing has illuminated long‐standing concerns over the ability for sustainability rating schemes to accurately convey sustainability‐related performance of firms. This study theorizes and empirically examines how a detailed and transparent rating methodology influences what information
Patrick J. Callery
wiley +1 more source
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BLUP in the nested panel regression model with serially correlated errors
Computational Statistics and Data Analysis, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Myoungshic Jhun, Seuck Heun Song
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Prediction in a spatial nested error components panel data model
International Journal of Forecasting, 2014Abstract This paper derives the Best Linear Unbiased Predictor (BLUP) for a spatial nested error components panel data model. This predictor is useful for panel data applications that exhibit spatial dependence and a nested (hierarchical) structure. The predictor allows for unbalancedness in the number of observations in the nested groups.
Badi Baltagi
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A modified nested-error regression model for small area estimation
Statistics, 2013A nested-error regression model having both fixed and random effects is introduced to estimate linear parameters of small areas. The model is applicable to data having a proportion of domains where the variable of interest cannot be described by a standard linear mixed model.
Maria Dolores Esteban, Domingo Morales
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