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    A hybrid deep learning air pollution prediction approach based on neighborhood selection and spatio-temporal attention by Gang Chen, Shen Chen, Dong Li, Cai Chen

    Published 2025-01-01
    “…The proposed approach, termed KSC-ConvLSTM, integrates the k-nearest neighbors (KNN) algorithm, spatio-temporal attention (STA) mechanism, the residual block, and convolutional long short-term memory (ConvLSTM) neural network. …”
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    MoNetViT: an efficient fusion of CNN and transformer technologies for visual navigation assistance with multi query attention by Liliek Triyono, Liliek Triyono, Rahmat Gernowo, Prayitno

    Published 2025-02-01
    “…The addition of a multi-query attention (MQA) module enhances multi-scale feature integration, allowing end-to-end learning guided by ground truth. …”
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    Email outreach attracts the US policymakers’ attention to climate change but common advocacy techniques do not improve engagement by Riley N. Loria, Jessica Pugel, Matthew H. Goldberg, Deborah A. Halla, Rebecca Bascom, J. Taylor Scott, Max Crowley, Elizabeth C. Long

    Published 2025-02-01
    “…It is essential to test theoretically sound methods to increase lawmakers’ attention to research evidence. In a series of four rapid-cycle randomized controlled email trials (N = 6642–7620 per trial), we test three common and theoretically derived advocacy tactics to increase U.S. policymaker engagement with a climate change fact sheet sent via email (i.e., a norms manipulation, a number focused manipulation, and emotional language manipulation). …”
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    Resting-State fMRI Whole Brain Network Function Plasticity Analysis in Attention Deficit Hyperactivity Disorder by Yi Tang, Shuxing Zheng, Yin Tian

    Published 2022-01-01
    “…Attention deficit hyperactivity disorder (ADHD) is a common mental disorder in children, which is related to inattention and hyperactivity. …”
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