Results 151 to 160 of about 115,144,832 (243)
High genus surface parameterization using the Euclidean Ricci flow method. [PDF]
Wang YG.
europepmc +1 more source
Multiscale Laplacian Learning. [PDF]
Merkurjev E, Nguyen DD, Wei GW.
europepmc +1 more source
ABSTRACT This research aims to investigate the relationship between green innovation and competitive advantage through a bibliometric analysis. The data were obtained from the widely used social science databases, Web of Science (WoS) and Scopus, and then processed using the open‐source programming language R.
Mustafa Tuncer Okumus
wiley +1 more source
It Is Better to Be Semi-Regular When You Have a Low Degree. [PDF]
Kolokolnikov T.
europepmc +1 more source
ABSTRACT The last five years of research on sustainability labelling, reported in 175 journal articles, documents its effectiveness in increasing consumer choices of more sustainable food products. Some sustainability labels come out as stronger than others and their impact varies across products, countries, and individual consumers, depending on label
John Thøgersen +2 more
wiley +1 more source
Efficient and interpretable maximal frequent fuzzy pattern mining with multi phase pruning and ternary search. [PDF]
Al-Wagih K, Abdullah MA, Senan EM.
europepmc +1 more source
ABSTRACT Prior research has mostly relied on linear and parametric models while explaining environmental non‐compliance, but they have a limited capacity to capture non‐linear and asymmetric effects of elements affecting firms' environmental compliance.
Ashutosh Singh +4 more
wiley +1 more source
Who Cares About Carbon Performance Strategy? Ownership Structure as a Driver for Carbon Performance
ABSTRACT This research aims to highlight the empirical, theoretical, and corporate governance arguments employed in the academic literature that examines ownership structure as a determinant of carbon performance—a key element in contemporary climate governance frameworks.
Thicia Stela Lima Sampaio +2 more
wiley +1 more source
PARSEC.py: A Python-Based Real-Space Kohn-Sham Density Functional Theory Code Accelerated by Machine Learned Charge Density. [PDF]
Zhang Z +4 more
europepmc +1 more source
ABSTRACT Understanding the evolving emotional landscape surrounding climate change is critical for developing effective environmental strategies and communication. This study offers an analysis of public emotions toward human‐induced climate change by leveraging big data analytics and machine learning techniques on social media content from platform X.
Qingfeng Tian +5 more
wiley +1 more source

