Bridging the Gap in Facial Age Progression: An Attention Mechanism Approach by Taoli Liu, Yubin Liang, Wenchen Wu, Yize Tang

“…These attention-enhanced feature maps are then processed through a pyramid feature fusion architecture to facilitate multi-scale feature extraction. …”
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Real Worlds and Text Worlds in Doris Lessing’s The Grass is Singing and Martha Quest by Bahar Bahmani Komasi, Morteza Lak, Farid Parvaneh

“…Lessing’s intricate descriptions of world-building elements, such as time, locations, characters, objects, and actions within the story, serve to advance the narrative forward through both material and existential processes. Moreover, her use of sub-worlds to express her yearning for freedom and justice reflects her critical viewpoints on the oppressive systems prevalent in her time, particularly colonization and racial issues. …”
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Cross-modal gated feature enhancement for multimodal emotion recognition in conversations by Shiyun Zhao, Jinchang Ren, Xiaojuan Zhou

“…In practical applications, such as video-based recruitment interviews, customer service, health monitoring, intelligent personal assistants, and online education, ERC can facilitate the analysis of emotional cues, improve decision-making processes, and enhance user interaction and satisfaction. …”
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Nursing Students’ Use of Digital Resources for Self-Directed Learning in Bioscience by Victoria Oppegaard Berre, Unni Knutstad, Kari Toverud Jensen

“…Results Two main themes were identified: ‘Digital resources provide an overview over bioscience’, and ‘Motivational issues – deep learning or passing the exam’. Conclusion Digital resources can support self-directed learning by guiding students in selecting content and providing a sense of control over the learning process.…”
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Leveraging dual‐blockchain collaboration for logistics supply chain supervision by Licheng Lin, Senshan Pan, Pujie Jing, Xiangmei Song

“…However, the dual‐blockchain collaboration restricts supervision due to its cross‐chain privacy and efficiency. To address these issues, a logistics supply chain supervision scheme based on dual‐blockchain collaboration (DBC) is proposed. …”
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Molecular techniques for cancer diagnostics by Vimal Kishor Singh, Ramesh Chandra

“…However, the drug discovery process is tedious, and getting approval from various regulatory authorities may be more frustrating for a steady developmental pace. …”
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Preface to the health-psychology article collection by Φώτιος Αναγνωστόπουλος

“… Health psychology is a relatively new subfield of psychology that emphasizes the biopsychosocial model, where physical well-being and disease reflect a complex set of interrelated processes, involving psychological, social, and biological factors. …”
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Climate Change Education for Environmental Sustainability among Health Professionals: An Integrative Review by Moses M Mulu BSN, MSN, PhD, Mirriam M Kivuva BSN, MSN

“…Methods This integrative review was conducted using the Whittemore and Knafl five-step process. Several databases were searched to identify relevant literature published between January 2014 and August 2024. …”
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Digital potential of the region: theoretical aspects and assessment in the Republic of Belarus by Olga M. Sherstneva

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Trustworthy-constraint Deep Graph Learning for Enterprise Financial Risk Prediction by Wenting Ma

“…However, there exists two issues in deep learning-Based methods. (1) Current methods fail to accurately model the complex relationships among listed companies in the real financial market. (2) Current methods lack credible estimates in the decision-making process, which leads to the questionable reliability of the decision-making results. …”
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Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning by Yanli Zhao, Zongduo Liu, Junjie Pang

“…In addition, network traffic data are distributed across heterogeneous devices and domains, where centralized training methods face significant challenges such as data leakage and data silos. To address these issues, we propose a network traffic anomaly detection method based on cross-domain federated graph representation learning. …”
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A Hybrid of Box-Jenkins ARIMA Model and Neural Networks for Forecasting South African Crude Oil Prices by Johannes Tshepiso Tsoku, Daniel Metsileng, Tshegofatso Botlhoko

“…The formal stationarity test confirmed that the crude oil price series is integrated of order one, <i>I(1)</i>. For the linear process, the ARIMA (2,1,2) model was identified as the best fit for the series and successfully passed all diagnostic tests. …”
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Systematic review of the value-driven attentional capture paradigm in visual attention studies: Evidence from 52 experiments by Miloš Stanković

“…Human visual attention is strongly influenced by rewards, affecting both top-down and bottom-up attentional processes. The value-driven attentional capture (VDAC) paradigm, introduced by Anderson et al. (2011b), has had a significant impact on the field of visual attention. …”
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Simultaneous non-negative matrix factorization for multiple large scale gene expression datasets in toxicology. by Clare M Lee, Manikhandan A V Mudaliar, D R Haggart, C Roland Wolf, Gino Miele, J Keith Vass, Desmond J Higham, Daniel Crowther

“…Overall, the algorithm shows promise for early detection of toxicity in the drug discovery process.…”
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Affirmative Action on Women Education Promotion in Ntungamo Municipality Ntungamo District. by Abenawe, Jasper

“…As a result, affirmative action has become an inescapable aspect of the recruitment process and enhancement of females in institutions particularly, in leadership positions. …”
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Automated Financial Management System: A Case Study of Batuma’s Dairy Farm. by Kesande, Blendah, Nahwera, Praise

“…The first one was; How can an Automated Financial Management System be effectively designed to address the identified issues with the current manual systems? What are the key considerations and challenges involved in the implementation of an Automated Financial Management System within the context of the dairy farm in Uganda?…”
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Resting Posture Recognition Method for Suckling Piglets Based on Piglet Posture Recognition (PPR)–You Only Look Once by Jinxin Chen, Luo Liu, Peng Li, Wen Yao, Mingxia Shen, Longshen Liu

“…Firstly, to address the issue of numerous sows and piglets in the farrowing house that easily occlude each other, an image edge detection algorithm is employed to precisely locate the sow’s farrowing bed area. …”
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The Effect of Asymmetric Transistor Aging on Systolic Arrays for Mission Critical Machine Learning Applications by Firas Ramadan, Gil Shomron, Freddy Gabbay

“…Deep neural networks (DNNs) excel in various applications, such as computer vision, natural language processing, and other mission-critical systems. As the computational complexity of these models grows, there is an increasing need for specialized accelerators to handle the demanding workloads. …”
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Energy Efficient Forward Osmosis to Maximize Dewatering Rates by Jongmin Jeon, Dongkeon Kim, Suhan Kim

“…Forward osmosis (FO) is a membrane separation process driven by the osmotic pressure difference between a high-salinity draw solution (DS) and a low-salinity feed solution (FS). …”
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SeqConv-Net: A Deep Learning Segmentation Framework for Airborne LiDAR Point Clouds Based on Spatially Ordered Sequences by Bin Guo, Chunjing Yao, Hongchao Ma, Jie Wang, Junhao Xu

“…Experiments show that the SeqConv-Net architecture achieves 75.5% mean Intersection Over Union (mIOU) accuracy on the DALES dataset, with the total processing speed from data preprocessing to prediction being several to tens of times faster than existing methods. …”
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