This research note explores the role of reported attention to politics in survey overclaiming about politics. Using recognition real and fictitious political parties context UK's 2019 European Parliament elections, we find that people who report higher are more likely over-report parties, also recognize new - those emerged around issue ‘Brexit’ months before election. To resolve these patterns,...

We have observed that the nature and amount of free play in young children has changed. Our purpose in this article is to demonstrate why play, and particularly active, unstructured, outdoor play, needs to be restored in children's lives. We propose that efforts to increase physical activity in young children might be more successful if physical activity is promoted using different language-enc...

PURPOSE To quantify the central attention-diverting effect of hands-free cellular phone conversation on visual field awareness. DESIGN Experimental study. METHODS Twenty male and 21 female healthy participants performed a pretest and baseline Esterman visual field examinations with the Humphrey Systems Visual Field Analyzer II. During the consequent third examination, each participant engag...

INTRODUCTION  The attention is an underlying neuropsychology function to all the cognitive processes. The auditory deficiency compromises the normal development of the child, modifying diverse auditory abilities, including the attention. OBJECTIVE  to compare the performance of children in the Test of the Ability of Auditory Attention Support, as for the different forms of application (auricu...

Forty-nine mother–infant dyads participated in the study. Mothers were observed during free play with their infants to assess their attention-directing strategies. Infants were observed during the Bayley to assess their focused attention abilities. Assessments were made when infants were 10 and 18 months. Whereas consistently high levels of maintaining over time were modestly associated with be...

Recurrent neural nets (RNN) and convolutional neural nets (CNN) are widely used in NLP tasks to capture the longterm and local dependencies respectively. Attention mechanisms have recently attracted enormous interest due to their highly parallelizable computation, significantly less training time, and flexibility in modeling dependencies. We propose a novel attention mechanism in which the atte...

Brain-computer interface (BCI) is a developing, novel mode of communication for individuals with severe motor impairments or those who have no other options for communication aside from their brain signals. However, the majority of current BCI systems are based on visual stimuli or visual feedback, which may not be applicable for severe locked-in patients that have lost their eyesight or the ab...