Research on university email analysis based on SVM-RFE and Transformer-TBAM by LI Zhen, LI Zhichao, CHEN Lin

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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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“I Don’t Think I Have an Attention Span for Real Life Anymore”: Excessive Stimulation, Sense of Meaninglessness, and Boredom in Sam Levinson’s Euphoria by Anna Pochmara

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Large-scale mapping of plastic-mulched land from Sentinel-2 using an index-feature-spatial-attention fused deep learning model by Lizhen Lu, Yunci Xu, Xinyu Huang, Hankui K. Zhang, Yuqi Du

Subjects: “…Index-feature-spatial-attention (IFSA)…”
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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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Comparing the Effectiveness of Child-Centered Play Therapy and Story Therapy on Social Skills and Shyness in Preschool Children with Attention Deficit Hyperactivity Disorder in Tehran by Azin Soroushvala, Alireza Merati, Mehdi Yousefvand

“…Objective: The aim of this study was to compare the effectiveness of child-centered play therapy and story therapy on social skills and shyness in preschool children with attention deficit hyperactivity disorder in Tehran. …”
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Sex differences in psychiatric comorbidities of attention-deficit/hyperactivity disorder among children, adolescents, and adults: A nationwide population-based cohort study. by Pei-Hsin Kao, Chung-Han Ho, Charles Lung-Cheng Huang

“…This cross-sectional, nationwide, population-based study aimed to elucidate sex differences in psychiatric comorbidities of Attention-deficit/hyperactivity disorder (ADHD) across children, adolescents, and adults. …”
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SwinInsSeg: An Improved SOLOv2 Model Using the Swin Transformer and a Multi-Kernel Attention Module for Ship Instance Segmentation by Rabi Sharma, Muhammad Saqib, Chin-Teng Lin, Michael Blumenstein

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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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qArI: A Hybrid CTC/Attention-Based Model for Quran Recitation Recognition Using Bidirectional LSTMP in an End-to-End Architecture by Sumayya Alfadhli, Hajar Alharbi, Asma Cherif

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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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BLSENet: A Novel Lightweight Bilinear Convolutional Neural Network Based on Attention Mechanism and Feature Fusion Strategy for Apple Leaf Disease Classification by Tianyu Fang, Jialin Zhang, Dawei Qi, Mingyu Gao

“…To solve this problem, a lightweight bilinear convolutional neural network (CNN) model named BLSENet based on attention mechanism is designed. The model consists of two subnetworks, and each subnetwork is embedded with a Squeeze-and-Excitation (SE) module. …”
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MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S.... by Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi, Hossein Arefi

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Effects of Dual-Site Anodal Transcranial Direct Current Stimulation on Attention, Decision-Making, and Working Memory during Sports Fatigue in Elite Soccer Athletes by Fengxue Qi, Na Zhang, Michael A. Nitsche, Longyan Yi, Yingqiu Zhang, Tian Yue

“…This study investigated the effect of dual-site tDCS targeting the dorsolateral prefrontal cortex (DLPFC) or primary motor cortex (M1) on attention, decision-making, and working memory in elite soccer athletes during sports fatigue. …”
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Functional Balance and Motor Impairment Correlations with Gait Parameters during Timed Up and Go Test across Three Attentional Loading Conditions in Stroke Survivors by Haidzir Manaf, Maria Justine, Mazlifah Omar

“…TUG test was conducted under three attentional loading conditions (single, dual motor, and dual-cognitive). …”
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Inverse Gini indexed averaging: A multi-leveled ensemble approach for skin lesion classification using attention-integrated customized ResNet variants by Anwar Hossain Efat, SM Mahedy Hasan, Md Palash Uddin, Faysal Hossain Emon

“…Methods Our approach utilizes all ResNet variants combined with three attention mechanisms: channel attention, soft attention, and squeeze-excitation attention. …”
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