Results 81 to 90 of about 14,952 (285)

Nonword Concreteness Agreement.

, 2013
Nonword Concreteness Agreement.
Jacob Kean (312385), Jamie Reilly (312383), Chris Westbury (312384), Jonathan E. Peelle (312386)   +3 more
core   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

LLMs replicate metaphor norms based on word co-occurrence but struggle with topic-vehicle mappings

Frontiers in Language Sciences
Normed linguistic stimuli are fundamental in psycholinguistics because they capture lexical and semantic properties that influence comprehension. However, generating these norms at scale is challenging, often leading researchers to rely on ad hoc norms ...
Laura Pissani, Mayank Jobanputra, Vera Demberg, Vera Demberg   +3 more
doaj   +1 more source

Supporting AI Readiness Through Digital Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns, Lateef Abdul, Stephan Barth, Martin Glauer, Manuel Günther, Fabian Neuhaus, Jan‐Ole Perschewski, Thomas Bjarsch, Henrik Abel, Johannes Bosch, Niklas Meyer, Peter Hofmann, Marc Drechsler, Alexander Dyck, Dhanunjaya Kumar Nerella, Marvin Tegeler, Oleg Shchyglo, Ingo Steinbach, Timo Klecker, Henk Birkholz, Ehsan Borzabadi Farahani, Bernard Fedelich, Cetin Haftaoglu, Tarakeshwar Lakshmipathy, Elena Garcia Trelles, Christoph Schweizer, Reza Darvishi Kamachali, Lukas Koschmieder, Janin Eiken, Markus Apel, Sung‐Min Wi, Jiangdong Zhao, Andreas Fezer, Nicolas Christ, Patrick Schneider, Eldor Urinov, Veit Königer, Volker Knoblauch, Janik Harter, Thomas Seifert, Thitichai Janpheng, Florian Fuchs, Fabian Teichert, Jörg Schuster, Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann, Felix Wentzien, Heike Wittek, Benjamin Klie, Alexander Röhrs, Ludger Overmeyer, Achraf Atila, Marcel Sadowski, Leopold Talirz, Jan Janssen, Jesper R. Pedersen, Peter Beck, Tejs Vegge, Ivano E. Castelli, Wolfgang Wenzel, Tilmann Hickel, Jörg Schaarschmidt   +67 more
wiley   +1 more source

Concrete and Reinforced Concrete [PDF]

ACI Journal Proceedings, 1983
  +4 more sources

The Effect of Training-Induced Visual Imageability on Electrophysiological Correlates of Novel Word Processing

Biomedicines, 2018
The concreteness effect (CE) describes a processing advantage for concrete over abstract words. Electrophysiologically, the CE manifests in higher N400 and N700 amplitudes for concrete words.
Laura Bechtold, Marta Ghio, Christian Bellebaum   +2 more
doaj   +1 more source

Imagery, concreteness, and lexical complexity

, 1975
Both imageability and lexical complexity are shown to be influential in determining performance in free recall. However, both features may be confounded with an item's concreteness, and all three factors are controlled in a second experiment.
Richardson, John T. E.
core   +1 more source

Semantic size of abstract concepts: it gets emotional when you can’t see it [PDF]

, 2013
Size is an important visuo-spatial characteristic of the physical world. In language processing, previous research has demonstrated a processing advantage for words denoting semantically 'big' (e.g., jungle) versus 'small' (e.g., needle) concrete objects.
Sereno, Margaret E., Margaret E. Sereno (463122), Patrick J. O’donnell, Weick, Mario, Sara C. Sereno (463124), Yao Bo, Vasiljevic, Milica, Sara C. Sereno, Bo Yao (308010), Milica Vasiljevic, Vasiljevic Milica, Sereno Sara C., O'Donnell, P.J., Margaret E. Sereno, Bo Yao, Vasiljevic, M., Sereno, Sara C., Yao, B., Margaret E Sereno, Sara C Sereno, Sereno Margaret E., Yao, Bo, O'Donnell, Patrick J., O’Donnell Patrick J., Mario Weick (463121), Weick, M., Patrick J O'Donnell, Sereno, S.C., Milica Vasiljevic (385858), Sereno, M.E., Patrick J. O’Donnell (463123), Mario Weick, Weick Mario   +32 more
core   +3 more sources

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

Feasibility of A Novel Treatment of Abstract Verbs in Aphasia and Apraxia of Speech

Frontiers in Psychology, 2015
Introduction Models of sentence meaning emphasize the central role of the verb (Fillmore, 1968; Miller, 1972). These models are the theoretical basis of language production treatments for persons with aphasia such as VNeST (Edmonds, Nadeau, & Kiran, 2009)
Dallin John Bailey, Dallin John Bailey, Kiera Berggren   +2 more
doaj   +1 more source