Results 281 to 290 of about 1,044,082 (362)
The Tool for Automatic Analysis of Decoding Ambiguity (TAADA). [PDF]
Crossley S, Choi JS, Tang K, Cutting L.
europepmc +1 more source
Charting Resource Efficiency Practices Across European Firms: A Multilevel Analysis
ABSTRACT The circular economy (CE) is a key sustainability paradigm, prompting European Union (EU) organizations and policymakers to move beyond linear production and consumption models. The study aimed to assess the implementation patterns of nine CE activities among EU companies and to explore how the implementation of these CE activities relates to ...
Sofia Gomes +2 more
wiley +1 more source
The impact of dichotomization on network recovery. [PDF]
Sekulovski N +3 more
europepmc +1 more source
ABSTRACT The crucial role of environmental dynamism (ED) in achieving supply chain responsiveness (SCR) has become a controversial topic in extant literature. However, despite several empirical studies on environmental dynamism and supply chain responsiveness, inconsistent findings and underexplored areas leave supply chain managers less informed about
Alexander Otchere Fianko +3 more
wiley +1 more source
Inverse design of cellular structures with the targeted nonlinear mechanical response. [PDF]
Nakarmi S +6 more
europepmc +1 more source
Landscape of Research on Accounting Scope 3 Emissions: A Review of Methodologies and Data
ABSTRACT Scope 3 emissions have been proposed as a critical metric for evaluating corporate carbon footprint, identifying emission sources, and developing mitigation solutions. Yet, widespread corporate reporting of Scope 3 emissions remains limited, highlighting a critical gap in both research and practice.
Zeyu Wang +3 more
wiley +1 more source
Bayesian Assessment of True Prevalence of Paratuberculosis Infection in Dairy Herds and Their Parity Subgroups. [PDF]
Veres K, Lang Z, Ózsvári L.
europepmc +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source

