“Out of sight out of mind”: attentional characteristics in mothers who have children with autism by Xue Du, Shuanghong Gao, Ting Huang, Jian Liang, Xiao Xiao

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Prevalence of reading difficulties and attention deficit hyperactivity disorder in a sample of Spanish prisoners by Almudena Giménez, Mariana Loredo, Blanca Monge, Pablo Sánchez, Javier López-Pérez

Subjects: “…Attention deficit hyperactivity disorder…”
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WEB VULNERABILITIES DETECTION USING A HYBRID MODEL OF CNN, GRU AND ATTENTION MECHANISM by Sarbast H. Ali, Arman I. Mohammed, Sarwar MA. Mustafa, Sardar Omar Salih

“…Therefore, this paper proposes a hybrid model built on the base of Convolutional Neural Networks (CNN), Gated Recurrent Units (GRU) and an attention mechanism to detect vulnerabilities in application code. …”
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Articulatory-to-Acoustic Conversion Using BiLSTM-CNN Word-Attention-Based Method by Guofeng Ren, Guicheng Shao, Jianmei Fu

“…By considering the graphical representation of the articulators’ motion, this study combined Bidirectional Long Short-Term Memory (BiLSTM) with convolution neural network (CNN) and adopted the idea of word attention in Mandarin to extract semantic features. …”
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Answer Distillation Network With Bi-Text-Image Attention for Medical Visual Question Answering by Hongfang Gong, Li Li

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A Hybrid Contextual Embedding and Hierarchical Attention for Improving the Performance of Word Sense Disambiguation by Robbel Habtamu Yigzaw, Beakal Gizachew Assefa, Elefelious Getachew Belay

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YOLOv3-A: a traffic sign detection network based on attention mechanism by Fan GUO, Yongxiang ZHANG, Jin TANG, Weiqing LI

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Enhancing Medical Image Classification With Context Modulated Attention and Multi-Scale Feature Fusion by Renhan Zhang, Xuegang Luo, Junrui Lv, Junyang Cao, Yangping Zhu, Juan Wang, Bochuan Zheng

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A Few-Shot Knowledge Graph Completion Model With Neighbor Filter and Affine Attention by Hongfang Gong, Yingjing Ding, Minyi Ma

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Investigation of perceived stress and attention deficit and hyperactivity disorder in shooters according to some variables by Zekiye Özkan, Gülçin Güler, Sanem Şehribanoğlu

Subjects: “…Attention-deficit/hyperactivity disorder (ADHD)…”
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The Influence of Attention and Target Identification on Saccadic Eye Movements Depends on Prior Target Location by David R. Hardwick, Timothy R. H. Cutmore, Trevor J. Hine

“…This result supports an attentional inhibitory effect that is present during ISR to a previous location which is only partly released by the facilitative effect of feature identification and gap. …”
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Behavioral representations within the endogenous dual attentional pathways during audiovisual integration processing by Zhongtian Guan, Mingli Yan, Miao He, Yubo Liu, Zhixi Zhang, Chunlin Li

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A lung nodule segmentation model based on the transformer with multiple thresholds and coordinate attention by Tianjiao Hu, Yihua Lan, Yingqi Zhang, Jiashu Xu, Shuai Li, Chih-Cheng Hung

“…Secondly, we introduce the coordinate attention mechanism, which allows the model to better recognize and utilize spatial information when handling long-range dependencies, enabling the deep network to maintain its sensitivity to nodule positions. …”
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Assessing the Economic Burden and Benefit-cost of Treating Attention-deficit Hyperactivity Disorder in Germany by Nikolaos Kotsopoulos, Mark P. Connolly, Esther Sobanski, Maarten J. Postma

“…**Background:** Attention-deficit hyperactivity disorder (ADHD) is a condition which has been consistently documented to impact educational outcomes. …”
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Scalable Context-Based Facial Emotion Recognition Using Facial Landmarks and Attention Mechanism by Savina Jassica Colaco, Dong Seog Han

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Traffic Flow Prediction Based on Multi-Spatiotemporal Attention Gated Graph Convolution Network by Yun Ge, Jian F. Zhai, Pei C. Su

“…Such research routines have high computational cost and few attentions on impaction of different time and nodes. …”
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Novel video anomaly detection method based on global-local self-attention network by Jing YANG, Chengmao WU, Liuping ZHOU

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Weakly Supervised Nuclei Segmentation with Point-Guided Attention and Self-Supervised Pseudo-Labeling by Yapeng Mo, Lijiang Chen, Lingfeng Zhang, Qi Zhao

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Attention-Based Hybrid Deep Learning Models for Classifying COVID-19 Genome Sequences by A. M. Mutawa

Subjects: “…attention layer…”
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Document-level relation extraction via dual attention fusion and dynamic asymmetric loss by Xiaoyao Ding, Dongyan Ding, Gang Zhou, Jicang Lu, Taojie Zhu

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