A Named Entity Recognition Model for Chinese Electricity Violation Descriptions Based on Word-Character Fusion and Multi-Head Attention Mechanisms by Lingwen Meng, Yulin Wang, Yuanjun Huang, Dingli Ma, Xinshan Zhu, Shumei Zhang

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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

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Organophosphorus Pesticides Management Strategies: Prohibition and Restriction Multi-Category Multi-Class Models, Environmental Transformation Risks, and Special Attention List by Yingwei Wang, Lu Wang, Yufei Li

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Why can't we be friends? A narrative review of the challenges of making and keeping friends for children and adolescents with Attention-Deficit/Hyperactivity Disorder by Kirsten M. Neprily, Emma A. Climie, Adam McCrimmon, Erica Makarenko

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The Effects of Catastrophic Thinking about Pain on Attentional Interference by Pain: No Mediation of Negative Affectivity in Healthy Volunteers and in Patients with Low Back Pain by G Crombez, C Eccleston, A Van den Broeck, B Van Houdenhove, L Goubert

“…BACKGROUND: Previous studies have shown that catastrophic thinking about pain enhances attentional interference in healthy volunteers.…”
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Attention deficit/hyperactivity disorder (ADHD) dimensions mediate the relationship between adverse childhood experiences and adult aggression depending on cognitive reappraisal by Steffen Barra, Paulina Klaudia Machalica, Petra Retz-Junginger, Johannes Merscher, Anselm Crombach, Wolfgang Retz

“…As high levels of ACEs and aggression have been found among individuals with attention deficit/hyperactivity disorder (ADHD), ADHD dimensions might explain this association. …”
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DRAF-Net: Dual-Branch Residual-Guided Multi-View Attention Fusion Network for Station-Level Numerical Weather Prediction Correction by Kaixin Chen, Jiaxin Chen, Mengqiu Xu, Ming Wu, Chuang Zhang

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Preoperative Attention/Memory Problem Affects the Quality of Life of Parkinson’s Disease Patients after Deep Brain Stimulation: A Cohort Study by Ying Gao, Jue Wang, Linbin Wang, Dianyou Li, Bomin Sun, Xian Qiu

“…Notably, the severity of preoperative attention/memory problems emerged as the most significant predictor of NMS influencing the QoL outcome after STN-DBS at the 1-year follow-up.…”
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Attention Deficit-Hyperactivity Disorder Symptoms and Daytime Voiding Symptoms in Children with Primary Enuresis: An Observational Study to Evaluate the Effectiveness of Desmopressin Treatment by Teng-Kai Yang, Ya-Jun Guo, Hong-Chiang Chang, Hung-Ju Yang, Kuo-How Huang

“…To evaluate the effectiveness of presence of desmopressin in treating primary enuresis (PE) for children with attention deficit-hyperactivity disorder (ADHD) symptoms. …”
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Prevalence and clinical correlates of co-morbid attention deficit hyperactivity disorder in euthymic adults with bipolar disorder: A cross-sectional study by Vikash C. Mishra, Gunjan Solanki, Dharmdeep Singh, Manish K. Goyal

“…Background: Bipolar disorders (BDs) are co-morbid with attention deficit hyperactivity disorder (ADHD), making diagnosis and management more difficult and associated with poorer outcomes. …”
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RS-Lane: A Robust Lane Detection Method Based on ResNeSt and Self-Attention Distillation for Challenging Traffic Situations by Ronghui Zhang, Yueying Wu, Wanting Gou, Junzhou Chen

“…We also use Self-Attention Distillation to enhance the feature representation capabilities of the network without adding inference time. …”
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Hybrid Deep Learning for Gas Price Prediction Using Multi-Factor and Temporal Features by Shuliang Zhang, Hao Wu, Jin Wang, Longsheng Du

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The Political Economy of the Gifts on Tiktok by Cristina-Oana Cristea

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Interocular Shift of Visual Attention Enhances Stereopsis and Visual Acuities of Anisometropic Amblyopes beyond the Critical Period of Visual Development: A Novel Approach by Liwen Huang, Xinghuai Sun, Gang Luo, Shuai Liu, Rui Liu, Behzad Mansouri, Vicky wing lai Wong, Wen Wen, Hong Liu, Ai-Hou Wang

“…We described a novel binocular approach, interocular shift of visual attention (ISVA), for treatment of amblyopia in adult patients. …”
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Exploring correlations between Conners’ Continuous Performance Test and subjective measures of attention deficit hyperactivity disorder symptoms in a paediatric clinical sample by Xue Wei Wendy Poh, Shernice Shi Yun Lim, Ying Yin Chew, Nikki Shi Jie Lim-Ashworth, Choon Guan Lim

“…Introduction: Attention deficit hyperactivity disorder (ADHD) is a childhood-onset neurodevelopmental condition characterised by inattention and/or hyperactivity–impulsivity. …”
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Corrections to “The Attention Mechanism Performance Analysis for Football Players Using the Internet of Things and Deep Learning” by Chuan Mou

“…Presents corrections to the paper, (Corrections to “The Attention Mechanism Performance Analysis for Football Players Using the Internet of Things and Deep Learning”).…”
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D2CBDAMAttUnet: Dual-Decoder Convolution Block Dual Attention Unet for Accurate Retinal Vessel Segmentation From Fundus Images by Vo Trong Quang Huy, Chih-Min Lin

Subjects: “…convolution block dual attention module…”
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Designing Channel Attention Fully Convolutional Networks with Neural Architecture Search for Customer Socio-Demographic Information Identification Using Smart Meter Data by Zhirui Luo, Qingqing Li, Ruobin Qi, Jun Zheng

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Improving diagnostic precision in thyroid nodule segmentation from ultrasound images with a self-attention mechanism-based Swin U-Net model by Changan Yang, Muhammad Awais Ashraf, Mudassar Riaz, Pascal Umwanzavugaye, Kavimbi Chipusu, Kavimbi Chipusu, Hongyuan Huang, Yueqin Xu

“…These challenges directly affect the precision of thyroid disorder diagnoses, which are crucial for metabolic and hormonal regulation.MethodsThis study proposes a novel segmentation approach utilizing a Swin U-Net architecture enhanced with a self-attention mechanism. The model integrates residual and multiscale convolutional structures in the encoder path, with long skip connections feeding into an attention module to improve edge preservation and feature extraction. …”
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Diagnostic classification in toxicologic pathology using attention-guided weak supervision and whole slide image features: a pilot study in rat livers by Philip Zehnder, Jeffrey Feng, Trung Nguyen, Philip Shen, Ruth Sullivan, Reina N. Fuji, Fangyao Hu

“…Our model demonstrates improvements in diagnostic classification and attention heatmap quality over the previously described clustering-constrained-attention multiple-instance learning method on several lesion classes in rat livers (38% improvement in AUC). …”
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