Results 71 to 80 of about 73,193 (263)

Normas brasileiras para listas de palavras associadas: associação semântica, concretude, frequência e emocionalidade

Psicologia: Teoria e Pesquisa
O presente estudo fornece medidas normatizadas para 44 listas de palavras semanticamente associadas em português, de acordo com as seguintes dimensões: concretude, frequência, emocionalidade e associação semântica.
Lilian Milnitsky Stein, Carlos Falcão de Azevedo Gomes   +1 more
doaj   +1 more source

A comparison of techniques for deriving clustering and switching scores from verbal fluency word lists. [PDF]

Front Psychol, 2022
Bushnell J, Svaldi D, Ayers MR, Gao S, Unverzagt F, Gaizo JD, Wadley VG, Kennedy R, Goñi J, Clark DG.   +9 more
europepmc   +1 more source

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

Advanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

Normas de emocionalidade para a versão brasileira do paradigma Deese-Roediger-McDermott (DRM)

Psicologia: Teoria e Pesquisa
A necessidade de se estabelecer normas de emocionalidade para material verbal de idioma português-brasileiro se origina da ausência de padrões para a incipiente pesquisa sobre emoção.
Renato Favarin dos Santos, Ronie Alexsandro Teles da Silveira, Carlos Falcão de Azevedo Gomes, Lilian Milnitsky Stein   +3 more
doaj   +1 more source

Non‐Additive Criteria Assessment in Sustainability Evaluation of High Entropy Alloys: A Toxicity‐Weighted Framework

Advanced Engineering Materials, EarlyView.
Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic, Oladele A. Ogunseitan, Julie M. Schoenung   +2 more
wiley   +1 more source

Effects of word list length during episodic memory encoding observation by the event-related potential and time-frequency

Frontiers in Human Neuroscience
The present study explored the effects of word list length during the encoding of visual verbal stimuli. The participants received Latvian nouns in lists of different lengths: short (up to 29), medium (30–59), and long (60–160).
Viktors Veliks, Aleksandrs Kolesovs, Juris Porozovs, Dmitrijs Igonins   +3 more
doaj   +1 more source

Furthering the Aim of Multilingualism through Integrated Terminology Development

Lexikos, 2011
<p>Abstract: This article aims at giving a brief account of how the activities of the Unit for isiXhosa, one of the five units of the Stellenbosch University Language Centre, contributes to the development of integrated technical terminology lists ...
Pumlani M. Sibula
doaj   +1 more source

The Role of Entropy in Construct Specification Equations (CSE) to Improve the Validity of Memory Tests: Extension to Word Lists. [PDF]

Entropy (Basel), 2022
Melin J, Cano S, Flöel A, Göschel L, Pendrill L.   +4 more
europepmc   +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

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