Results 51 to 60 of about 288,229 (327)
Caffeine improves left hemisphere processing of positive words. [PDF]
A positivity advantage is known in emotional word recognition in that positive words are consistently processed faster and with fewer errors compared to emotionally neutral words. A similar advantage is not evident for negative words.
Lars Kuchinke, Vanessa Lux
doaj +1 more source
Phonographic Sublexical Units in Visual Word Recognition [PDF]
Recent models of visual word recognition assume that sublexical orthographic-phonological information is organized according to an onset-nucleus-coda scheme (Plaut, McClelland, Seidenberg, & Patterson, 1996; Jacobs, Rey, Ziegler, & Grainger, 1998, but see Coltheart, Curtis, Atkins & Haller, 1993 for an alternative view).
Nuerk, Hans-Christoph+3 more
openaire +3 more sources
Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledge [PDF]
Distributional semantic models capture word-level meaning that is useful in many natural language processing tasks and have even been shown to capture cognitive aspects of word meaning. The majority of these models are purely text based, even though the human sensory experience is much richer.
arxiv
Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel
The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker+5 more
wiley +1 more source
Visual word recognition: the first half second [PDF]
We used magnetoencephalography (MEG) to map the spatiotemporal evolution of cortical activity for visual word recognition. We show that for five-letter words, activity in the left hemisphere (LH) fusiform gyrus expands systematically in both the posterior-anterior and medial-lateral directions over the course of the first 500 ms after stimulus ...
Pammer, Kristen+7 more
openaire +4 more sources
Previous studies on additive manufacturing primarily focus on the mechanical properties of as‐printed components. In the present work, researchers explore the potential of employing novel thermomechanical postprocessing techniques to improve the microstructure after printing.
Radim Kocich+3 more
wiley +1 more source
Multisensory benefits for speech recognition in noisy environments
A series of our previous studies explored the use of an abstract visual representation of the amplitude envelope cues from target sentences to benefit speech perception in complex listening environments.
Yonghee Oh+3 more
doaj +1 more source
Deep Word Embeddings for Visual Speech Recognition [PDF]
In this paper we present a deep learning architecture for extracting word embeddings for visual speech recognition. The embeddings summarize the information of the mouth region that is relevant to the problem of word recognition, while suppressing other types of variability such as speaker, pose and illumination.
Georgios Tzimiropoulos+1 more
openaire +3 more sources
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning [PDF]
This paper introduces a new concept called "transferable visual words" (TransVW), aiming to achieve annotation efficiency for deep learning in medical image analysis. Medical imaging--focusing on particular parts of the body for defined clinical purposes--generates images of great similarity in anatomy across patients and yields sophisticated ...
arxiv
Primary phases and a fatigue crack are studied in a forged blank of an aluminum alloy using synchrotron and laboratory X‐ray computed tomography. To image the crack, the fatigue test is interrupted, and a static tensile load is applied to open the crack.
Jakob Schröder+6 more
wiley +1 more source