Results 181 to 190 of about 157,640 (328)
ABSTRACT Reaching global net‐zero targets has become an urgent priority as businesses and nations face increasing pressure to reduce greenhouse gas emissions. Achieving carbon neutrality in manufacturing supply chains requires comprehensive systemic changes across business processes.
Vimal K. E. K. +5 more
wiley +1 more source
Two-stage Bayesian hierarchical modeling for blinded and unblinded safety monitoring in randomized clinical trials. [PDF]
Liu J +6 more
europepmc +1 more source
ABSTRACT This study investigates companies' responses to energy efficiency policies, focusing on mandatory and voluntary regulations that create a complex landscape for businesses to navigate. Using a sample of 1473 firms across 29 European countries (2002–2018), we explore the impact of legislation on green redesign—operationalized through ...
Thomas Alexopoulos +3 more
wiley +1 more source
Bayesian Hierarchical Model Replication Study on Field Research Station Systems in Ghana,
Yahaya Mensah, Samuel Tawiah Baidoo
openalex +1 more source
Correction to: Two-stage Bayesian hierarchical modeling for blinded and unblinded safety monitoring in randomized clinical trials. [PDF]
Liu J +5 more
europepmc +1 more source
Consumer Adoption of Internet of Things
ABSTRACT The Internet of Things (IoT), a pivotal technology in enhancing user connectivity, faces a paradox: its widespread potential yet limited consumer adoption. This study addresses this dichotomy by synthesizing a large‐scale meta‐analytic structural equation modeling (MASEM) and hierarchical linear meta‐analysis (HiLMA) of 2736 effect sizes from ...
Wagner Junior Ladeira +6 more
wiley +1 more source
Bayesian hierarchical modeling of Mpox in the African region (2022-2024): Addressing zero-inflation and spatial autocorrelation. [PDF]
Woldegerima WA, Ugwu CLJ.
europepmc +1 more source
Antidepressant Tolerability in Pediatric Anxiety and Obsessive-Compulsive Disorders: A Bayesian Hierarchical Modeling Meta-analysis. [PDF]
Mills JA, Strawn JR.
europepmc +1 more source
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao +6 more
wiley +1 more source

