Eye movements follow the dynamic shifts of attention through serial order in verbal working memory by Lara Stella Marie Schroth, Wim Fias, Muhammet Ikbal Sahan

“…We tested the hypothesis that serial order in verbal working memory interacts with the spatial attention system whereby gaze patterns in visual space closely follow attentional shifts in the internal space of working memory. …”
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Investigative genetic genealogy practices warranting policy attention: Results of a modified policy Delphi by Christi J. Guerrini, Louiza Kalokairinou, Jill O. Robinson, Whitney Bash Brooks, Stephanie M. Fullerton, Sara Huston, Jacklyn Dahlquist, Diana Madden, Norah Crossnohere, Nicola Campoamor, John F. P. Bridges, Amy L. McGuire

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An Improved Sequential Recommendation Algorithm based on Short-Sequence Enhancement and Temporal Self-Attention Mechanism by Jianjun Ni, Guangyi Tang, Tong Shen, Yu Cai, Weidong Cao

“…Finally, the absolute position information and time interval information of the user sequence are modeled, and a time-aware self-attention model is adopted to predict the user’s next action and generate a recommendation list. …”
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Sensory seeking and its influence on sustained attention performance in adult males with Autism Spectrum Condition by Takashi Itahashi, Ryuta Aoki, Motoaki Nakamura, Haruhisa Ohta, Ryu-ichiro Hashimoto

“…There are possible links between atypical sensory profiles and attentional challenges in ASC. Due to the paucity of studies in adults, the nature of attentional challenges and their associations with sensory profiles in autistic adults remain elusive. …”
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Preoperative Intravitreal Conbercept Facilitates Vitrectomy in Proliferative Diabetic Retinopathy: Is Attention Required for the Fellow Eye? by Wei Xu, Weijing Cheng, Yao Yao, Jian Guo, Guoxing Xu

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The Target-Defining Attributes Can Determine the Effects of Attentional Control Settings in Singleton Search Mode by Ying Chen, Junzhe Wang, Zhiwei Miao, Yunpeng Jiang, Xia Wu

Subjects: “…attentional capture…”
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Assessment of Attentional Functioning in Health Professionals of a Brazilian Tertiary Referral Hospital for COVID-19 by Eelco van Duinkerken, Guilherme J. Schmidt, Ana Lúcia Taboada Gjorup, Carolina Ribeiro Mello, André Casarsa Marques, Áureo do Carmo Filho, Paula Regina Yuri Fukusawa, Simone Gonçalves de Assis, Júlio Cesar Tolentino, Sergio L. Schmidt

“…This study is aimed at assessing differences in basic attentional functioning between substantial and minimal work-related exposure to COVID-19 patients in professionals working in a tertiary referral hospital in Rio de Janeiro, Brazil. …”
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FBATCNet: A Temporal Convolutional Network With Frequency Band Attention for Decoding Motor Imagery EEG by Shuaishuai Ma, Jidong Lv, Wenjie Li, Yan Liu, Ling Zou, Yakang Dai

“…Furthermore, we proposed a frequency band attention-based temporal convolutional network (FBATCNet) for MI-EEG decoding. …”
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The effect of guanfacine treatment on ocular parameters in pediatric and adolescents patients with attention-deficit/hyperactivity disorder by Işıl Merve Torun, Zeynep Vatansever Pinar, Şeyma İlhan

Subjects: “…Attention-deficit/hyperactivity disorder…”
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Retracted: Articulatory-to-Acoustic Conversion Using BiLSTM-CNN Word-Attention-Based Method by null Complexity

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Elevated few-shot network intrusion detection via self-attention mechanisms and iterative refinement. by Congyuan Xu, Yong Zhan, Guanghui Chen, Zhiqiang Wang, Siqing Liu, Weichen Hu

“…To overcome these challenges, this paper proposes a novel elevated few-shot network intrusion detection method based on self-attention mechanisms and iterative refinement. This approach leverages the advantages of self-attention to effectively extract key features from network traffic and capture long-range dependencies. …”
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Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting by Ping Lou, Zihao Wu, Jiwei Hu, Quan Liu, Qin Wei

“…To address the above challenges, a new traffic forecasting method, named Attention-Based Gated Recurrent Graph Convolutional Network (AGRGCN) is presented for short-term traffic flow prediction. …”
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Correction: Can network attention effectively stimulate corporate ESG practices?-Evidence from China. by PLOS ONE Staff

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Design of an Incremental Music Teaching and Assisted Therapy System Based on Artificial Intelligence Attention Mechanism by Dapeng Li, Xiaoguang Liu

“…The experiments in this paper confirm that the context-guided module, cross-dimensional cross-attention module, and multidimensional feature similarity module designed for the characteristics of MS lesions are effective, and the proposed attentional context U-Net and multidimensional cross-attention U-Net have greater advantages in the objective evaluation index of lesion segmentation, while being combined with the incremental music teaching approach to assist treatment, which provides a new idea for the intelligent assisted treatment approach. …”
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Multilevel Attention and Multiscale Feature Fusion Network for Author Classification of Chinese Ink-Wash Paintings by Wei Jiang, Xianglian Meng, Ji Xi

“…In this paper, a novel model based on multi-level attention and multi-scale feature fusion is proposed. …”
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A comparative analysis of LSTM models aided with attention and squeeze and excitation blocks for activity recognition by Murad Khan, Yousef Hossni

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UAV rice panicle blast detection based on enhanced feature representation and optimized attention mechanism by Shaodan Lin, Deyao Huang, Libin Wu, Zuxin Cheng, Dapeng Ye, Haiyong Weng

“…Results The ConvGAM model, leveraging the ConvNeXt-Large backbone network and the Global Attention Mechanism (GAM), achieves outstanding performance in feature extraction, crucial for detecting small and complex disease patterns. …”
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DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection by Shaofu Lin, Yang Yang, Xiliang Liu, Li Tian

Subjects: “…dynamic spatial-frequency attention…”
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Impact of virtual agent facial emotions and attention on N170 ERP amplitude: comparative study by Luisa Kirasirova, Olga Maslova, Vasiliy Pyatin, Vasiliy Pyatin

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Precise Crop Pest Detection Based on Co-Ordinate-Attention-Based Feature Pyramid Module by Chenrui Kang, Lin Jiao, Kang Liu, Zhigui Liu, Rujing Wang

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