Multimorbidity clusters and their associations with health-related quality of life in two UK cohorts by Lewis Steell, Stefanie J. Krauth, Sayem Ahmed, Grace O. Dibben, Emma McIntosh, Peter Hanlon, Jim Lewsey, Barbara I. Nicholl, David A. McAllister, Susan M. Smith, Rachael Evans, Zahira Ahmed, Sarah Dean, Colin Greaves, Shaun Barber, Patrick Doherty, Nikki Gardiner, Tracy Ibbotson, Kate Jolly, Paula Ormandy, Sharon A. Simpson, Rod S. Taylor, Sally J. Singh, Frances S. Mair, Bhautesh D. Jani, the PERFORM research team

“…In UKHLS, SF-12 data were extracted and mapped to EQ-5D index scores using a standard preference-based algorithm. …”
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A General Framework for CFAR Detection in PolSAR Imagery Based on Quadratic Statistics by Ziyuan Yang, Liguo Liu, Xiaoyang Hou, Yinghui Quan, Xian Zhang, Tao Liu

“…In the field of target detection in polarimetric synthetic aperture Radar (PolSAR) imagery, the constant false alarm rate (CFAR) algorithm is renowned for its operability and high interpretability. …”
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Feasibility of snapshot testing using wearable sensors to detect cardiorespiratory illness (COVID infection in India) by Olivia K. Botonis, Jonathan Mendley, Shreya Aalla, Nicole C. Veit, Michael Fanton, JongYoon Lee, Vikrant Tripathi, Venkatesh Pandi, Akash Khobragade, Sunil Chaudhary, Amitav Chaudhuri, Vaidyanathan Narayanan, Shuai Xu, Hyoyoung Jeong, John A. Rogers, Arun Jayaraman

“…An Extreme Gradient Boosting algorithm was trained to discriminate between COVID-19 infected individuals (n = 295) and COVID-19 negative healthy controls (n = 172) and achieved an F1-Score of 0.80 (95% CI = [0.79, 0.81]). …”
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Regional stream temperature modeling in pristine Atlantic salmon rivers: A hybrid deterministic–Machine Learning approach by Ilias Hani, André St-Hilaire, Taha B.M.J. Ouarda

“…We employed the support vector regression algorithm (SVR), to map the dependence of these parameters with climatic and watershed characteristics. …”
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Intraoperative hypotension prediction in cardiac and noncardiac procedures: is HPI truly worthwhile? A systematic review and meta-analysis by Erfan Shirmohamadi, Reza Hosseini Dolama, Narjes Mohammadzadeh, Navid Ebrahimi, Negar Ghasemloo

“…The comparison of HPI and MAP for diagnostic accuracy showed minimal differences across all time frames, with SMD values close to zero. …”
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Eagle-YOLOv8: UAV Object Detection Inspired by the Eagle-Eye Vision System by Dianwei Wang, Zehao Gao, Jie Fang, Yuanqing Li, Zhijie Xu

“…Confronting such challenges, we propose Eagle-YOLOv8, an object detection algorithm for UAV imagery inspired by the eagle-eye vision system. …”
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An enhanced substation equipment detection method based on distributed federated learning by Zhuyun Li, Qiutong Qin, Yingyi Yang, Xiaoming Mai, Yuya Ieiri, Osamu Yoshie

“…The framework’s novelty lies in its dual focus: optimizing detection performance through architectural enhancements and ensuring secure, efficient distributed learning. CWA-YOLO achieves mAP scores of 0.918 (mAP@0.5) and 0.623 (mAP@0.5:0.95), surpassing YOLOv8l and YOLOv7l by 6.5% and 7.49%, respectively, in accuracy. …”
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Deformable Feature Fusion and Accurate Anchors Prediction for Lightweight SAR Ship Detector Based on Dynamic Hierarchical Model Pruning by Yue Guo, Shiqi Chen, Ronghui Zhan, Wei Wang, Jun Zhang

“…Finally, a magnitude-based dynamic hierarchical pruning algorithm is introduced to dynamically prune parameters across various network structures, thereby reducing the model’s parameters. …”
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Leveraging Thermal Infrared Imaging for Pig Ear Detection Research: The TIRPigEar Dataset and Performances of Deep Learning Models by Weihong Ma, Xingmeng Wang, Simon X. Yang, Lepeng Song, Qifeng Li

“…To validate the dataset’s utility, it was evaluated across various object detection algorithms. Experimental results show that the dataset achieves the highest precision, recall, and mAP50 on the YOLOv9m model, reaching 97.35%, 98.1%, and 98.6%, respectively. …”
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Utilizing Sentinel-2 Remote Sensing for Water Quality Monitoring in Deran Lake, Bosnia and Herzegovina by A. Batina, A. Šiljeg, G. Pedić, M. Parać

“…This work reinforces the value of remote sensing for cost-effective, high-resolution monitoring of inland waters, improving water resource management across diverse ecosystems.…”
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Clients Purchasing Tendency Community Classification in E-Commerce Scenario: Multi-Feature Search for Densely Distributed Clients in Huge Network by Mingyuan Li, Chun-Ming Yang, Yi-Wei Kao

“…A dedicated community search algorithm uncovers densely interconnected subgroups. …”
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Tomato Ripening Detection in Complex Environments Based on Improved BiAttFPN Fusion and YOLOv11-SLBA Modeling by Yan Hao, Lei Rao, Xueliang Fu, Hao Zhou, Honghui Li

“…Furthermore, the tomato-ripeness1public dataset was used to test the YOLOv11-SLBA model, yielding model <i>p</i> values of 78.6%, R values of 91.5%, mAP50 values of 93.7%, and F1-scores of 84.6%. This demonstrates that the model can perform well across a variety of datasets, greatly enhances the detection generalization capability in intricate settings, and serves as a guide for the algorithm design of the picking robot vision system.…”
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Analysis of Regions of Homozygosity: Revisited Through New Bioinformatic Approaches by Susana Valente, Mariana Ribeiro, Jennifer Schnur, Filipe Alves, Nuno Moniz, Dominik Seelow, João Parente Freixo, Paulo Filipe Silva, Jorge Oliveira

“…<b>Background</b>: Runs of homozygosity (ROHs), continuous homozygous regions across the genome, are often linked to consanguinity, with their size and frequency reflecting shared parental ancestry. …”
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Foreign object recognition for mine conveyor belt iron separators based on transfer learning with EfficientNet by Hailong YANG, Yiping YUAN, Panpan FAN, Lu XIAO, Feiyang ZHAO, Shaoke YUAN

“…The proposed foreign object monitoring algorithm was applied to monitor the iron separators on the conveyor belts of an open-pit coal mine. …”
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An annual cropland extent dataset for Africa at 30&thinsp;m spatial resolution from 2000 to 2022 by Z. Lou, Z. Lou, D. Peng, D. Peng, Z. Shi, Z. Shi, H. Wang, K. Liu, Y. Zhang, X. Yan, X. Yan, Z. Chen, Z. Chen, S. Ye, S. Ye, L. Yu, J. Hu, J. Hu, J. Hu, Y. Lv, Y. Lv, Y. Lv, H. Peng, H. Peng, Y. Zhang, Y. Zhang, Y. Zhang, B. Zhang, B. Zhang

“…Large-scale cropland mapping encounters several challenges, including the varying landscape characteristics of cropland across different regions, extended cultivation periods, and limited availability of reference data. …”
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Predicting Seasonal Deformation Using InSAR and Machine Learning in the Permafrost Regions of the Yangtze River Source Region by Jie Chen, Xingchen Lin, Tonghua Wu, Junming Hao, Xiaodong Wu, Defu Zou, Xiaofan Zhu, Guojie Hu, Yongping Qiao, Dong Wang, Sizhong Yang, Lina Zhang

“…The developed ML algorithm, with access to precise environmental data, is capable of forecasting seasonal deformations across the entire QTP and potentially throughout the Arctic.…”
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A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory by Mengyuan Xu, Haoxuan Yang, Annan Hu, Lee Heng, Linyi Li, Ning Yao, Gang Liu

“…However, their purely “black box” algorithms suffer from a lack of interpretability, whereas methods based solely on physical mechanisms often underperform in complex scenarios. …”
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RE-YOLOv5: Enhancing Occluded Road Object Detection via Visual Receptive Field Improvements by Tianyu Li, Xuanrui Xiong, Yuan Zhang, Xiaolin Fan, Yushu Zhang, Haihong Huang, Dan Hu, Mengting He, Zhanjun Liu

“…These results demonstrate that the proposed method significantly outperforms other comparative algorithms in detecting occluded objects across both datasets.…”
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Deepfake Face Detection and Adversarial Attack Defense Method Based on Multi-Feature Decision Fusion by Shanzhong Lei, Junfang Song, Feiyang Feng, Zhuyang Yan, Aixin Wang

“…Extensive experiments demonstrated the superior performance and effectiveness of the proposed method across four subsets of FaceForensics++ and the Celeb-DF dataset.…”
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Cross-Database Evaluation of Deep Learning Methods for Intrapartum Cardiotocography Classification by Lochana Mendis, Debjyoti Karmakar, Marimuthu Palaniswami, Fiona Brownfoot, Emerson Keenan

“…From our comparison of the six models, ResNet exhibited the strongest fetal compromise classification performance across both databases at a downsampling rate of 1Hz. …”
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