نتایج جستجو برای: global attention

تعداد نتایج: 739559  

2012
Xiang Qiu Yiyuan Tang Xiaolan Fu Danni Sui Yong Niu

This study was aimed to explore the cognitive mechanism of global advantage on mental rotation. Using event-related potential and divided-attention paradigm of compound stimuli, we observed that subjects` response to global rotation was faster than their response to local rotation, and the parietal P300 amplitude was inversely related to the character orientation. What’s more, the local rotatio...

The Disease Control Priorities (DCP) publications have pioneered new ways of thinking about investing in health. We agree with Norheim, that a useful first step to advance efforts to translate DCP’s global evidence into local health priorities, is to develop a clear Theory of Change (ToC). However, a ToC that aims to define how global evidence (DCP and others) can be used to inform national pol...

2011
Joana S. P. Story

Global leadership development has received increased attention in recent years from practitioners and researchers. Drawing from global mindset, constructive development, and intercultural sensitivity literatures, this article proposes a model for developing global leaders. While developmental activities are challenging for most individuals, it is proposed that training domestic leaders to devel...

Journal: :Psychonomic bulletin & review 2008
Daisuke Tanaka Sachiko Kiyokawa Ayumi Yamada Zoltán Dienes Kazuo Shigemasu

To investigate the role of selective attention in artificial grammar (AG) learning, participants were presented with "GLOCAL" strings-that is, chains of compound global and local letters. The global and local levels instantiated different grammars. The results of this experiment revealed that participants learned only the grammar for the level to which they attended. The participants were not e...

Journal: :Iet Computer Vision 2022

As a basic component in the field of computer vision, pedestrian detection plays an essential role several real-world applications such as video surveillance. The promising performance has been achieved relying on deep learning, but large-scale variance and small-scale remain inherently hard before. In order to deal with aforementioned problems, this paper proposes multi-scale method global–loc...

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