A dual-branch deep learning model based on fNIRS for assessing 3D visual fatigue by Yan Wu, Yan Wu, Yan Wu, TianQi Mu, SongNan Qu, XiuJun Li, XiuJun Li, XiuJun Li, Qi Li, Qi Li, Qi Li

“…This paper proposed an fNIRS-based experimental paradigm that acquires data under both comfort and fatigue conditions. Given the time-series nature of fNIRS data and the variability of fatigue responses across different brain regions, a dual-branch convolutional network was constructed to separately extract temporal and spatial features. …”
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The Impact of Urban Labor Skill Structure on Industrial Evolution in China and Its Heterogeneity from the Perspective of Cross-Relatedness by Zhou Xiaoqi, Ao Rongjun, Chen Jing, Hou Chunguang

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²¹⁰Po and ²¹⁰Pb content in the certain types of foodstuffs. Optimization of the analytical method by M. V. Kaduka, L. N. Basalaeva, T. A. Bekyasheva, S. A. Ivanov, N. V. Salazkina, V. V. Stupina, A. N. Kaduka

“…The results are given of the investigation of 210Po and 210Pb content in the certain types of the foodstuffs sampled in the kitchen gardens located in Leningrad region and bought in the trade network of Saint-Petersburg. Estimation of potential average annual population internal exposure dose (Eint) is carried out due to 210Po and 210Pb content in the investigated foodstuffs which are consumed by the local population. …”
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Optimal Res-UNET architecture with deep supervision for tumor segmentation by Rahman Maqsood, Fazeel Abid, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed, Onur Osman, Shtwai Alsubai

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Forecasting the cryptocurrency exchange rate based on the ranking of expert opinions by Olena Gavrilenko, Mykhailo Miahkyi

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Forecasting the cryptocurrency exchange rate based on the ranking of expert opinions by Олена Гавриленко, Михайло Мягкий

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EfficientNet-b0-Based 3D Quantification Algorithm for Rectangular Defects in Pipelines by Di Wu, Yong Hong, Jie Wang, Shaojun Wu, Zhihao Zhang, Yizhang Liu

“…To address these issues, it is necessary to establish a correlation between the leakage signal and the magnitude of the defect to make accurate predictions through regression analysis. This research introduces EffiTriDimNet (ETDN), a multi-task convolutional neural network that combines one-dimensional pipeline defect leakage detection data into a unified feature map while simultaneously measuring the three-dimensional characteristics of the defects. …”
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Behaviour change interventions to promote physical activity in people with intermittent claudication: the OPTIMA systematic review by Ukachukwu O Abaraogu, Philippa Dall, Chris Seenan, Sarah Rhodes, Trish Gorely, Joanna McParland, Julie Brittenden, Ebuka M Anieto, Lorna Booth, Cathy Gormal, Jeremy Dearling, Candida Fenton, Sarah Audsley, Kimberley Fairer, Lindsay Bearne, Dawn A Skelton

“…Any disagreements were resolved through consensus or, if necessary, by referral to a third reviewer. Data synthesis Data were summarised in a narrative review and, when appropriate, meta-analysis was carried out. …”
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Research on emulsion concentration detection technology based on interpretable machine learning methods by Jiaxu Kang, Jianwei Li, Meng Wang, Xinwei Guo, Dinghao Liu, Chao Qu, Chengbin Guo

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Collagenase injection versus limited fasciectomy surgery to treat Dupuytren’s contracture in adult patients in the UK: DISC, a non-inferiority RCT and economic evaluation by Joseph Dias, Puvan Tharmanathan, Catherine Arundel, Charlie Welch, Qi Wu, Paul Leighton, Maria Armaou, Belen Corbacho, Nick Johnson, Sophie James, John Cooke, Christopher Bainbridge, Michael Craigen, David Warwick, Samantha Brady, Lydia Flett, Judy Jones, Catherine Knowlson, Michelle Watson, Ada Keding, Catherine Hewitt, David Torgerson

“…Recommendations for future research Follow-up to 5 years or more would establish the evolution of differences observed at 2 years, particularly in relation to recurrence and re-intervention, which usually occurs after 1 year. Also, the data collection in the DISC trial has been used as the basis for planning the data collection for the ongoing HAND-2 trial [NIHR: 127393; ISRCTN: 18254597], which will allow for a network meta-analysis of all key interventions for DC. …”
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Internet and telephone intervention to support patients discontinuing long-term antidepressants in primary care: the REDUCE research programme including RCT by Tony Kendrick, Beth Stuart, Hannah Bowers, Mahboobeh Haji Sadeghi, Helen Page, Christopher Dowrick, Michael Moore, Mark Gabbay, Geraldine Leydon, Guiqing Lily Yao, Shihua Zhu, Paul Little, Gareth Griffiths, Glyn Lewis, Carl May, Joanna Moncrieff, Chris F Johnson, Una Macleod, Simon Gilbody, Rachel Dewar-Haggart, Samantha Williams, Wendy O’Brien, Riya Tiwari, Catherine Woods, Tasneem Patel, Naila Khan, Emma Maund, Nadja van Ginneken, Amy Din, Claire Reidy, Rebecca Lucier, Bryan Palmer, Taeko Becque, Yumna Masood, Natalie Thompson, Ellen van Leeuwen, Marta Glowacka, Adam WA Geraghty

“…Analyses Linear mixed modelling was used to determine differences in outcomes, adjusting for previous depression, baseline outcome values, baseline anxiety, sociodemographic characteristics, and practice as a random effect. Primary analysis was performed by intention to treat, with per-protocol and complier-average sensitivity analyses. …”
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Research on the characteristics of the falling behavior of mixed coal and gangue by SHAN Pengfei, YANG Tong, SUN Haoqiang, XI Bojia

“…First, this paper proposed a dynamic analysis method for the top coal caving process based on a dual optical flow network. …”
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Towards precision agriculture tea leaf disease detection using CNNs and image processing by Irfan Sadiq Rahat, Hritwik Ghosh, Suresh Dara, Shashi Kant

“…The innovative use of a convolutional layer with 64 7 × 7 filters, followed by batch normalization and Rel U activation, allows for the extraction and representation of intricate patterns from the input data. Key to our model’s design is the incorporation of residual blocks, facilitating the learning of deeper networks by alleviating the vanishing gradient problem. …”
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Revolutionizing classification: A novel gray level co-occurrence matrix and statistical feature-based segmentation approach by Abdelwahed Motwakel

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US-CoastEX: Observation-based probabilistic reanalysis of storm surge and sea level extremes for the United States by Joao Morim, D. J. Rasmussen, Thomas Wahl, Francisco M. Calafat, Robert E. Kopp, Michael Oppenheimer, Soenke Dangendorf

“…Ou results show that traditional site-by-site estimates based on existing model data, as well as regionally-aggregated analysis of standard tide gauge data, have underestimated 100-year extreme sea levels by 50% (on average) along much of the U.S. coast, especially in regions exposed to extreme storms. …”
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Particle swarm optimization with YOLOv8 for improved detection performance of tomato plants by Sarah M. Ayyad, Nada M. Sallam, Samah A. Gamel, Zainab H. Ali

“…Thirdly, the proposed framework was compared with many cutting-edge object detection architectures for tomato harvesting, e.g., Convolutional neural network (CNN), Mask R-CNN and color analysis, and other models based on handcrafted features. …”
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A long-term monitoring dataset of non-breeding waterbirds at Lake Miedwie, Poland (2002–2025) by Dominik Marchowski, Paweł Stańczak, Michał Jasiński, Sebastian Guentzel

“…Recognised as both an Important Bird Area (IBA) and part of the Natura 2000 network, the site supports large numbers of migratory and overwintering geese, ducks and other waterbirds. …”
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Hyperdimensional computing: a framework for stochastic computation and symbolic AI by Mike Heddes, Igor Nunes, Tony Givargis, Alexandru Nicolau, Alex Veidenbaum

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Partial image encryption using format-preserving encryption in image processing systems for Internet of things environment by Wonyoung Jang, Sun-Young Lee

“…Concomitant with advances in technology, the number of systems and devices that utilize image data has increased. Nowadays, image processing devices incorporated into systems, such as the Internet of things, drones, and closed-circuit television, can collect images of people and automatically share them with networks. …”
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HackerRank: Identifying key hackers in underground forums by Cheng Huang, Yongyan Guo, Wenbo Guo, Ying Li

“…Compared to using social network analysis and content analysis alone, HackerRank increases the coverage rate of five underground forums by 3.14% and 16.19% on average. …”
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