Results 191 to 200 of about 86,158 (275)

Valence as principal dimension of the semantic space in primary progressive aphasia semantic variant. [PDF]

Brain Commun
Liuzzi AG, Meersmans K, Statz K, Dusart N, Schaeverbeke J, Pijnenburg YAL, De Deyne S, Storms G, Vandenberghe R.   +8 more
europepmc   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Cognitive abstraction increases prosociality when loyalty is valued lowly, but decreases prosociality when loyalty is valued highly. [PDF]

Sci Rep
van Houwelingen G, van Dijke M.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Basque-Spanish Bilingual Aphasia: A Case-Study to Reveal Frequency-Based, Language-Agnostic Lexical Organization in Bilinguals. [PDF]

Neurobiol Lang (Camb)
Blanco-Elorrieta E, Arantzeta M.
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Interoceptive grounding of conceptual knowledge: new insight from an interoceptive-exteroceptive categorization task of concepts. [PDF]

Psychol Res
Barca L, Diana SM, Duarte DC, Porciello G, Borghi AM.   +4 more
europepmc   +1 more source

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source

Correction: Unveiling the intensity-ambiguity relationships among affective and lexico-semantic variables in Chinese characters and the character-word relationships in Chinese two-character words. [PDF]

Behav Res Methods
Cheng X, Tse CS, Chan YL, Lau KY, Yum YN.   +4 more
europepmc   +1 more source

Concrete Is as Concrete Doesn’t [PDF]

, 2021
openaire   +1 more source