Results 71 to 80 of about 1,325,811 (342)
Word recognition with masking [PDF]
Perception & Psychophysics, 1966 At illuminances between .07 and 17 ft.-c, the word-recognition threshold was lower when a common word was preceded and followed by a homogenous field than by a noise pattern composed of a random array of bits of letters. Most of the difference is ascribed to the pattern’s interference with post-stimulatory processes.
Bertram Scharf +2 more
openaire +2 more sources
White Christian Nationalism: Adult Education and Threats to Democracy
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Adult education has a historical and ongoing commitment to fostering democratic relationships, demonstrated by the tendency of adult education to be called upon when social change and realignment are most desirable. This article considers the philosophical and pragmatic possibilities for adult education at this moment, when White Christian ...
Ralf St. Clair, Lyn Tett, Rob Black
wiley +1 more source
The scene superiority effect: object recognition in the context of natural scenes [PDF]
, 2011 Four experiments investigate the effect of background scene semantics on object recognition. Although past research has found that semantically consistent scene backgrounds can facilitate recognition of a target object, these claims have been challenged
Yao, Richard
core
Processes in word recognition [PDF]
Cognitive Psychology, 1970 Abstract Five hypotheses were proposed and tested to account for Reicher's (1968) finding that recognition of letters is more accurate in the context of a meaningful word than alone, even with redundancy controlled by a forced-choice design. All five hypotheses were rejected on the basis of the experimental results. Performance on the forced-choice
Daniel D Wheeler, Daniel D Wheeler
openaire +3 more sources
Adult Education Confronting White Christian Nationalism: A Thematic Analysis
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT As a way to conclude, this article elaborates key themes that emerged from the collected articles in this volume. Each article carries its own important message about the role of adult education in confronting White Christian nationalism, while here, Prins and Carr‐Chellman offer a thematic interpretation of the volume as a whole. These themes
Esther Prins, Davin Carr‐Chellman
wiley +1 more source
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Since the January 2021 attack on the US Capitol, the influence of White Christian nationalism (WCN) has become even more pronounced and concerning. Adult educators and the public need a better understanding of whether and how WCN can be unlearned, and the roles ordinary citizens and adult educators can play in this process.
Esther Prins
wiley +1 more source
Optimal Viewing Position in Face Recognition
i-Perception, 2011 The existence of an optimal viewing position (OVP) in visual word recognition has been consistently reported. For English words, the best recognition performance is usually obtained when the initial fixation is directed to the left of the word center ...
Janet H. Hsiao, Tong Liu
doaj +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose Sparing pharyngeal constrictor muscles (PCMs) during radiotherapy improves patient‐reported swallowing function. This study aimed to explore the feasibility of integrating knowledge‐based planning (KBP) with multicriteria optimization (MCO) in Eclipse v18.0 to selectively spare PCM, quantify the required trade‐off in prophylactic ...
Laura K. Howard +3 more
wiley +1 more source
Precision‐Optimised Post‐Stroke Prognoses
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope +4 more
wiley +1 more source
Word Recognition with Deep Conditional Random Fields
, 2016 Recognition of handwritten words continues to be an important problem in document analysis and recognition. Existing approaches extract hand-engineered features from word images--which can perform poorly with new data sets.
Chen, Gang +2 more
core +1 more source