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

“…To help inform these efforts and to promote coherence in IGG governance as it expands, we recruited experts representing a spectrum of IGG-relevant professions and perspectives to identify and prioritize IGG practices for policy attention and to develop policy options for addressing them. …”
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Exploring Narrative Ability in Greek-Speaking Children with High-Functioning ASD: Associations with Memory and Attention by Vasiliki Zarokanellou, Alexandros Gryparis, Katerina Papanikolaou

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Sequence-variable attention temporal convolutional network for volcanic lithology identification based on well logs by Hanlin Feng, Zitong Zhang, Chunlei Zhang, Chengcheng Zhong, Qiaoyu Ma

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Inspection method for cable assembly quality based on AR virtual-real image attention mechanism by Ganlin ZHAO, Chang YU, Jianfu ZHANG, Jianxin YANG, Pingfa FENG, Qun SHEN

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Exploring horses’ (Equus caballus) gaze and asymmetric ear position in relation to human attentional cues by Gabriela Barrera, Anna Albiach-Serrano, Federico Guillén-Salazar

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Enhancing Deepfake Detection Through Quantum Transfer Learning and Class-Attention Vision Transformer Architecture by Bekir Eray Katı, Ecir Uğur Küçüksille, Güncel Sarıman

“…In this dissertation, an innovative model was developed for detecting deepfake videos by combining the Quantum Transfer Learning (QTL) and Class-Attention Vision Transformer (CaiT) architectures. …”
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Associations between Attention-Deficit Hyperactivity Disorder (ADHD) Treatment and Patient Nutritional Status and Height by Mariana F. Granato, Alexandre A. Ferraro, Denise M. Lellis, Erasmo B. Casella

“…Attention-deficit hyperactivity disorder (ADHD) has been found to co-occur frequently with obesity, although the reasons for this association are unknown. …”
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Petrochemical Equipment Detection by Improved Yolov5 with Multiscale Deep Feature Fusion and Attention Mechanism by Zhenqiang Wei, Shaohua Dong, Xuchu Wang

“…The model considers the advantages of the channel and spatial attention mechanism and incorporates it into the three mainframes. …”
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Improved lung nodule segmentation with a squeeze excitation dilated attention based residual UNet by Dhafer Alhajim, Karim Ansari-Asl, Gholamreza Akbarizadeh, Mehdi Naderi Soorki

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Improved Double-Layer Structure Multilabel Classification Model via Optimal Sequence and Attention Mechanism by Geqiao Liu, Mingjie Tan

“…By introducing an attention mechanism, this study analyzes the key attributes to achieve the goal of classification. …”
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Effect of Attention Based Exercises in Balance Control and Fall Risk in Elderly Females - An Interventional Study by Arunima Sasidharan, L Gladson Jose

“…Postural restoration therefore is one of the major concerns demanding attention in elderly individuals with balance impairments. …”
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IAE-CDNet: A Remote Sensing Change Detection Network for Buildings With Interactive Attention-Enhanced by Zhaoyang Han, Linlin Zhang, Qingyan Meng, Chongchang Wang, Wenxu Shi, Maofan Zhao

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Assessment and Prognosis Aid Brought on by the Mensurable International Systems for the Attention of Patients Suffering from Neuroictus. by Rubén Bembibre Taboada, Carlos Jaime Geroy Gómez, Miguel Angel Buergo Zuaznábar, Diosdania Alfonso Falcón, Ariel Menéndez

“…<strong>Background:</strong> Assessment and prognosis aid brought on by the mensurable international systems recongized in the attention of patients suffering from neuroictus has its success and mistakes. …”
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The Efficacy of Parent-Child Interaction Therapy (PCIT) in Children with Attention Problems, Hyperactivity, and Impulsivity in Dubai by Saad A. Al Sehli, Maya Helou, Meshal A. Sultan

“…Both presented with attention problems, hyperactivity, and impulsivity associated with significant impairment in multiple settings. …”
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LKAFFNet: A Novel Large-Kernel Attention Feature Fusion Network for Land Cover Segmentation by Bochao Chen, An Tong, Yapeng Wang, Jie Zhang, Xu Yang, Sio-Kei Im

“…To tackle these challenges, we combine large-kernel convolutions, attention mechanisms, and multi-scale feature fusion to form a novel LKAFFNet framework that introduces the following three key modules: LkResNet, which enhances feature extraction through parameterizable large-kernel convolutions; Large-Kernel Attention Aggregation (LKAA), integrating spatial and channel attention; and Channel Difference Features Shift Fusion (CDFSF), which enables efficient multi-scale feature fusion. …”
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MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction by Dhekra Saeed, Huanlai Xing, Barakat AlBadani, Li Feng, Raeed Al-Sabri, Monir Abdullah, Amir Rehman

“…Results We introduce multimodal multi-channel graph attention network with adaptive fusion (MGATAF), a framework designed to enhance drug response predictions by capturing both local and global interactions among graph nodes. …”
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FBI-Net: Frequency-Based Image Forgery Localization via Multitask Learning With Self-Attention by A-Rom Gu, Ju-Hyeon Nam, Sang-Chul Lee

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Online comments of tourist attractions combining artificial intelligence text mining model and attention mechanism by Tingting Mou, Hongbo Wang

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The price of attention: An analysis of the intersection of media coverage and public sentiments about eggs and egg prices by Sachina Kagaya, Nicole Olynk Widmar, Valerie Kilders

“…However, the relationship between egg prices and online and social media attention is complex, which becomes apparent when studying the timing of increased concern with the timing of online news media coverage. …”
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Automatic MRI Image Classification Using Attention and Residual CNNs With Enhanced Image Denoising Filters by Suganya Athisayamani, A. Robert Singh, Faten Khalid Karim, Samih M. Mostafa

“…The enhanced image features are used for classification with three different CNN classification models: Convolutional Neural Network (CNN), CNN with attention module (CNN-AM) and CNN with a residual module (CNN-RM). …”
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