Automatic X-ray teeth segmentation with grouped attention by Wenjin Zhong, XiaoXiao Ren, HanWen Zhang

“…The model comprises two core modules: Grouped Global Attention (GGA) modules and Cross-Layer Fusion (CLF) modules. …”
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The Effect Of Sports On The Attention Levels Of Primary School Students by Osman İmamoğlu, Yener Aksoy, Hüseyin Aslan

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Deep factorization machine model based on attention capsule by Yiran GU, Zhupeng YAO, Haigen YANG

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La Permanence, une politique de l’attention by Giulia Tellier, Tiphaine Hameau

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Fooling the mind: An approach on attention and concentration based on deceptions by Rafael G. Lenzi

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The Effects of Mindful Attention on Cold Pressor Pain in Children by Mark Petter, Christine T Chambers, Jill MacLaren Chorney

“…BACKGROUND: Typical interventions for acute pain in children attempt to reduce pain by directing attention away from pain. Conversely, mindfulness involves devoting attention to one’s experience in an accepting and nonjudgmental way. …”
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Activation of Brain Attention Systems in Individuals with Symptoms of ADHD by P. Dennis Rodriguez, Gordon C. Baylis

“…Previous research investigating attention and impulse control in individuals with Attention-Deficit/Hyperactivity Disorder (ADHD) has largely ignored the symptomatic differences among the three subtypes of ADHD: ADHD-Inattentive Type, ADHD-Hyperactive/Impulsive Type, and ADHD-Combined Type. …”
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GTAT: empowering graph neural networks with cross attention by Jiahao Shen, Qura Tul Ain, Yaohua Liu, Banqing Liang, Xiaoli Qiang, Zheng Kou

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Contributions of Decision Making Theory to comprehensive medical attention. by Luis Alberto Corona Martinez, Mercedes Fonseca Hernández

“…Decision Making Theory contributes many useful elements for General Comprehensive Doctors, associated with their function of integral attention, mainly related with treatment. In this article we present as core elements: the need for logic to make decisions, the usefulness of programmed and non-programmed decisions concepts and the importance of make individual decisions using determination factors.…”
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Noise-attention-based forgery face detection method by Bolin ZHANG, Chuntao ZHU, Qilin YIN, Jingqiao FU, Lingyi LIU, Jiarui LIU, Hongmei LIU, Wei LU

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Impact of attention on rare events across industries in Indonesia by Dedi Hariyanto, Rayenda Khresna Brahmana, Wendy Wendy

“…The results signified that RE mitigates the negative relationship between attention and AR. The adverse impact of attention on AR diminishes during RE. …”
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Attention-Based Convolutional Neural Network for Pavement Crack Detection by Haifeng Wan, Lei Gao, Manman Su, Qirun Sun, Lei Huang

“…In this context, an encoder-decoder network-based architecture named CrackResAttentionNet was proposed in this study, and the position attention module and channel attention module were connected after each encoder to summarize remote contextual information. …”
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Impairments of Visuospatial Attention in Children with Unilateral Spastic Cerebral Palsy by Gaétan Ickx, Samar M. Hatem, Inmaculada Riquelme, Kathleen M. Friel, Camille Henne, Rodrigo Araneda, Andrew M. Gordon, Yannick Bleyenheuft

“…Visuospatial attention deficits were not associated with brain lesion locations. …”
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Mosaic-Mixed Attention-Based Unexpected Traffic Scene Classification by Sang-Hyun Lee, Soomok Lee, Ilsoo Yun

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Solar Wind Speed Prediction via Graph Attention Network by Yanru Sun, Zongxia Xie, Haocheng Wang, Xin Huang, Qinghua Hu

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IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution by Athanasios Tragakis, Chaitanya Kaul, Kevin J. Mitchell, Hang Dai, Roderick Murray-Smith, Daniele Faccio

“…Our key contribution is the Incremental guided attention fusion (IGAF) module, which effectively learns to fuse features from RGB images and LR depth maps, producing accurate HR depth maps. …”
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Context-Aware Attention Network for Human Emotion Recognition in Video by Xiaodong Liu, Miao Wang

“…With the HEIV dataset, we trained a context-aware attention network (CAAN) to recognize human emotion. …”
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A Tri-Attention Neural Network Model-BasedRecommendation by Nanxin Wang, Libin Yang, Yu Zheng, Xiaoyan Cai, Xin Mei, Hang Dai

“…To solve the above deficiencies, we propose a tri-attention neural network (TANN) model for recommendation task. …”
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Attention-based deep learning for accurate cell image analysis by Xiangrui Gao, Fan Zhang, Xueyu Guo, Mengcheng Yao, Xiaoxiao Wang, Dong Chen, Genwei Zhang, Xiaodong Wang, Lipeng Lai

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Attentional Capture and Inhibition of Saccades after Irrelevant and Relevant Cues by Heinz-Werner Priess, Nils Heise, Florian Fischmeister, Sabine Born, Herbert Bauer, Ulrich Ansorge

“…Attentional capture is usually stronger for task-relevant than irrelevant stimuli, whereas irrelevant stimuli can trigger equal or even stronger amounts of inhibition than relevant stimuli. …”
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