Results 161 to 170 of about 355,983 (296)

Utterance evolution: the road to generative, combinatorial communicators

Biological Reviews, EarlyView.
ABSTRACT Language has long been considered uniquely complex in the animal kingdom; however, animal research over the last decade has begun to challenge some long‐standing premises about exactly which language capacities are uniquely human. The task of resolving why and how complex communication systems evolve, particularly human language, has ...
Catherine Crockford, Roman Martin Wittig, Cedric Girard‐Buttoz   +2 more
wiley   +1 more source

“Language and Brain: Developmental Aspects:” Eric Lenneberg at the Neurosciences Research Program in 1972

Biolinguistics, 2017
Michael A. Arbib
doaj   +1 more source

Constructional approaches in formal grammar

Journal of Language Modelling, 2023
Nurit Melnik, Manfred Sailer
openaire   +2 more sources

Investigating How Firms in Emerging Economies Integrate AI‐Driven Systems and ESG Metrics Into Biodiversity Conservation and Circular Economy Strategies

Business Strategy and the Environment, EarlyView.
ABSTRACT This study investigates how firms in emerging economies integrate artificial intelligence (AI) with environmental, social, and governance (ESG) practices to enhance biodiversity conservation and circular economy outcomes. It examines the mediating role of corporate social responsibility (CSR) governance and the moderating effect of ...
Suleman Bawa, Simplice A. Asongu
wiley   +1 more source

Coaching past simple forms of habitual expressions beyond the textbook: A corpus-based experimental investigation. [PDF]

PLoS One
Dagnaw AM, Filatie AY, Adugna ET.
europepmc   +1 more source

Translating Circularity Into Strategy: A Governance Meta‐Capability Framework

Business Strategy and the Environment, EarlyView.
ABSTRACT Firms struggle to transition to circular economy (CE) models, often citing external barriers. Yet some firms succeed, whereas others fail: Why? We argue that success depends on a specific governance capability—a meta‐capability that allows firms to (1) sense and strategically reframe CE imperatives, (2) seize opportunities by aligning diverse ...
Felix Carl Schultz, Vladislav Valentinov   +1 more
wiley   +1 more source

Grammar error diagnosis using graph convolutional networks with knowledge graph integration. [PDF]

Sci Rep
Zhang J, Ma Y.
europepmc   +1 more source

Do Governance Structures Drive Green Building Adoption? A Machine Learning Approach With Random Forests

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez, José Manuel Santos‐Jaén, María Estefanía Sánchez Pacheco, Fernando José Zambrano Farías   +3 more
wiley   +1 more source

MolGramTreeNet: A multimodal molecular property prediction model via grammar tree-constrained molecular representation. [PDF]

iScience
Zhang Y, Liu W, Zhao H, Shao J, Pandiyan S, Yao M, Ni K, Wang L.   +7 more
europepmc   +1 more source

Shaping Energy Transitions: Sectoral Demand, Climate Risk Exposure, and Renewable Pathways in Sub‐Saharan Africa

Business Strategy and the Environment, EarlyView.
ABSTRACT Energy is a fundamental driver of economic growth, shaping productivity, industrialization, and long‐term economic resilience. In sub‐Saharan Africa (SSA), where energy access remains uneven and infrastructure is underdeveloped, understanding sector‐specific energy demand is essential for designing sustainable energy strategies.
Michael Appiah, Emmanuel Baffour Gyau, Genanew Bekele Worku, Simplice A. Asongu   +3 more
wiley   +1 more source