Results 91 to 100 of about 32,469 (264)

High‐Resolution Corrosion Fingerprinting of Alloy Libraries via Microdroplet Spectroelectrochemistry

open access: yesAdvanced Engineering Materials, EarlyView.
Ionic‐liquid microdroplet spectroelectrochemistry enables stable, localized electrochemical measurements over extended timescales. By coupling impedance spectroscopy, wetting analysis, finite‐element simulations, and operando Raman spectroscopy, it disentangles geometrical and electrochemical effects, opening new opportunities for rapid corrosion ...
Ekaterina Kurchavova   +3 more
wiley   +1 more source

Elastic Properties and Thermal Expansion Behavior of a Polycrystalline VMnFeCoNi High‐Entropy Alloy

open access: yesAdvanced Engineering Materials, EarlyView.
The high‐entropy alloy (HEA) V20Mn20Fe20Co20Ni20 (composition in at.%) can be made single‐phase face‐centered cubic (FCC) when annealed above 1338 K followed by water quenching. In this state, the alloy exhibits the greatest strength‐ductility combination of any quinary single‐phase FCC HEA.
Guillaume Laplanche   +3 more
wiley   +1 more source

Perceived quality symbols in short-video social media drive ski tourism behavior

open access: yesScientific Reports
The rise of short-video social media platforms has transformed consumer decision-making in tourism, particularly in high-risk activities such as ski tourism.
Qi Yang   +3 more
doaj   +1 more source

REFLECTIONS ON NAMING AND OTHER SYMBOLIC BEHAVIOR [PDF]

open access: yesJournal of the Experimental Analysis of Behavior, 1996
C F, Lowe, P J, Horne
openaire   +2 more sources

Decoupling Positional and Symbolic Attention Behavior in Transformers

open access: yesCoRR
32 pages, 12 figures, repository ...
Felipe Urrutia   +5 more
openaire   +2 more sources

Enhancing Fatigue Crack Growth Resistance in Heterostructured Aluminum Bimetals by Tailored Interface Design

open access: yesAdvanced Engineering Materials, EarlyView.
Different Al/Al bimetals with a single engineered interface reveal how mechanical mismatch governs fatigue crack growth under cyclic loading. Additionally, loading–unloading–reloading tests link the microyielding behavior to the fatigue crack growth resistance, while crack‐path analysis reveals toughening mechanisms at the interface, highlighting ...
Sebastian Vollath   +2 more
wiley   +1 more source

Cultural Symbols, Identity and Meaning Formation: Symbolic Interactionist Analysis of Chinua Achebe’s Things Fall Apart

open access: yesUniversity of Chitral Journal of Linguistics and Literature
The present paper makes an attempt to examine how George Herbert Meade’s theory explains people’s use of symbols as a sense-making tool to elucidate the socialization process, role performance, identity, and meaning formation within the Igbo society for
Mehnaz
doaj   +1 more source

MULTIAGENT SYMBOL SYSTEMS AND BEHAVIOR-BASED ROBOTS

open access: yesApplied Artificial Intelligence, 1993
Abstract This paper reviews and extends a formal model of multiagent symbol systems that define emergent symbolic behavior as a result of collective activities of very simple purely reactive components of the system. The formal model—the colony of grammars—is conceptually and technically rooted in the theory of formal grammars and languages (especially
openaire   +1 more source

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

open access: yesAdvanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero   +12 more
wiley   +1 more source

SymbolNet: Bridging Latent Neural Representations and Symbolic Reasoning via Intermediate Feature Interpretation

open access: yesIEEE Access
The interpretation of intermediate representations in deep neural networks is critical for enhancing the transparency, trustworthiness, and applicability of artificial intelligence (AI) systems.
Sungheon Jeong   +2 more
doaj   +1 more source

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