Showing 1 - 20 results of 9,539 for search '"attention"', query time: 0.06s Refine Results
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    The Research of the Driver Attention Field Modeling by Pengfei Tao, Hongyu Hu, Zhenhai Gao, Xin Liu, Xianmin Song, Yan Xing, Yuzhou Duan, Fulu Wei

    Published 2014-01-01
    “…For expanding the application scope of car-following, based on the basic idea of the noncontact interaction of the objects in physics, establish an attention field model to describe the driving behavior. …”
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    Paradoxical Facilitation of Attention in Healthy Humans by Shirley Fecteau, Alvaro Pascual-Leone, Hugo Théoret

    Published 2006-01-01
    “…One of these predictions is that release from contralateral inhibition should lead to increased parietal responsiveness, which, in turn, would enhance spatial attention. Here, we detail studies showing TMS-induced paradoxical functional facilitation of attention in healthy individuals and highlight their contribution to the understanding and treatment of neglect syndromes.…”
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    INFLUENCE OF SMARTPHONES ON STUDENTS` ATTENTIONAL PROCESSES by M. A. Akopova

    Published 2020-08-01
    Subjects: “…attention concentration…”
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    Attentional Phenotypes for the Analysis of Higher Mental Function by John Fossella, Michael I. Posner, Jin Fan, James M. Swanson, Donald W. Pfaff

    Published 2002-01-01
    “…First, brain imaging is used to specify a cognitive process “attention” in terms of the neural networks involved. …”
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    Carbon reduction effects of government digital attention by Rong Hu, Kaiyi Song

    Published 2025-01-01
    Subjects: “…government digital attention…”
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    Prevalence of Undiagnosed Attention Deficit Hyperactivity Disorder by Carissa Du, Daniel Zongliang Zhao, Latha Ganti

    Published 2025-01-01
    “…# Background Attention deficit/hyperactivity disorder (ADHD) is a disorder characterized by inattention, hyperactivity, and impulsivity. …”
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    Attention-Aware Heterogeneous Graph Neural Network by Jintao Zhang, Quan Xu

    Published 2021-12-01
    “…In this paper, we propose an Attention-aware Heterogeneous graph Neural Network (AHNN) model to effectively extract useful information from HIN and use it to learn the embedding representation of nodes. …”
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