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Uncovering Semantic Patterns in Sustainability Research: A Systematic NLP Review

open access: yesSustainable Development, EarlyView.
ABSTRACT This study maps how Natural Language Processing (NLP) contributes to sustainability. Using a PRISMA‐guided review of 131 English‐language articles from Web of Science (2018–2025), we combine bibliometric co‐word mapping with BERTopic to derive complementary structural and semantic views. Four themes emerge: Topic 0—Climate Change Discourse and
Ehsan Tashakori   +3 more
wiley   +1 more source

Thomas precession, relativistic torque, and non-planar orbits. [PDF]

open access: yesEur Phys J C Part Fields
Czarnecki A, Zelnikov A.
europepmc   +1 more source
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Parallel convolutional processing using an integrated photonic tensor core

Nature, 2021
Johannes Feldmann, Nathan Youngblood
exaly  

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