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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Pay Attention to Construction and Management of Water Conservancy Works and Maintain the Pearl River' s Healthy Life by SUN Jian-wei

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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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Social Media Public Opinion Detection Using Multimodal Natural Language Processing and Attention Mechanisms by Yanxia Dui, Hongchun Hu

“…Subsequently, a complex bimodal feature interaction fusion attention mechanism is deployed to scrutinize intramodal and intermodal correlations and capture contextual dependencies. …”
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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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Enhanced Visual Attentional Modulation in Patients with Inherited Peripheral Retinal Degeneration in the Absence of Cortical Degeneration by Sónia Ferreira, Andreia Carvalho Pereira, Bruno Quendera, Aldina Reis, Eduardo Duarte Silva, Miguel Castelo-Branco

“…The role of attentional mechanisms in peripheral vision loss remains an outstanding question. …”
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RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis by S. M. Nuruzzaman Nobel, S M Masfequier Rahman Swapno, Md. Ashraful Hossain, Mejdl Safran, Sultan Alfarhood, Md. Mohsin Kabir, M. F. Mridha

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A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning by Bin Hu, Yaohui Han, Wenhui Zhang, Qingyang Zhang, Wen Gu, Jun Bi, Bi Chen, Lishun Xiao

“…Thus, LSTM is integrated with the new attention mechanism to construct an LSTMATT model, which improves the performance. …”
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Assessing the impact of mindfulness programs on attention-deficit/ hyperactivity disorder in children and adolescents: a systematic review by Meshal A. Sultan, Faisal A. Nawaz, Batol Alattar, Eman Khalaf, Sidra Shadan, Naila El-Abiary, Shakeel Tegginmani, Rakhtan K. Qasba, Jigar Jogia

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SACU-Net: Shape-Aware U-Net for Biomedical Image Segmentation With Attention Mechanism and Context Extraction by Yinuo Cao, Yong Cheng

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Altered Recruitment of the Attention Network Is Associated with Disability and Cognitive Impairment in Pediatric Patients with Acquired Brain Injury by Sandra Strazzer, Maria A. Rocca, Erika Molteni, Ermelinda De Meo, Monica Recla, Paola Valsasina, Filippo Arrigoni, Susanna Galbiati, Alessandra Bardoni, Massimo Filippi

“…Pediatric ABI patients experienced an inability to optimize attention network recruitment, especially when task difficulty was increased, which likely contributes to their clinical and cognitive deficits.…”
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Theta Burst Stimulation Enhances Connectivity of the Dorsal Attention Network in Young Healthy Subjects: An Exploratory Study by Lubomira Anderkova, Dominik Pizem, Patricia Klobusiakova, Martin Gajdos, Eva Koritakova, Irena Rektorova

“…A single session of intermittent TBS of the left superior parietal lobule induced certain cognitive speed enhancement and significantly increased resting-state connectivity of the dorsal attention network. This is an exploratory study that prompts further research with multiple-session TBS in subjects with cognitive impairment.…”
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Integrating fast iterative filtering and ensemble neural network structure with attention mechanism for carbon price forecasting by Wang Zhong, Wang Yue, Wang Haoran, Tang Nan, Wang Shuyue

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The impact of psychological theory on the treatment of Attention Deficit Hyperactivity Disorder (ADHD) in adults: A scoping review. by Rebecca E Champ, Marios Adamou, Barry Tolchard

“…Psychological theory and interpretation of research are key elements influencing clinical treatment development and design in Attention Deficit Hyperactivity Disorder (ADHD). Research-based treatment recommendations primarily support Cognitive Behavioural Therapy (CBT), an extension of the cognitive behavioural theory, which promotes a deficit-focused characterisation of ADHD and prioritises symptom reduction and cognitive control of self-regulation as treatment outcomes. …”
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Multi-Indices Quantification for Left Ventricle via DenseNet and GRU-Based Encoder-Decoder with Attention by Zhi Liu, Yunhua Lu, Xiaochuan Zhang, Sen Wang, Shuo Li, Bo Chen

“…Then, in order to take advantage of the time sequence information, the temporal feature for consecutive frames is encoded using gated recurrent unit (GRU). After that, the attention mechanism is integrated into the decoder to effectively establish the mappings between the input sequence and corresponding output sequence. …”
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Hierarchical Feature Attention Learning Network for Detecting Object and Discriminative Parts in Fine-Grained Visual Classification by A. Yeong Han, Kwang Moo Yi, Kyeong Tae Kim, Jae Young Choi

Subjects: “…hierarchical feature attention learning…”
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