Predictive Value of Hepatitis B Core-Related Antigen for Multiple Recurrence Outcomes After Treatment Cessation in Chronic Hepatitis B: A Meta-Analysis Study by Guoyang Yu, Meiqi Cheng, Yuxin Duan, Minrong Kang, Ning Jiang, Wei Yan, Jianhua Yin

“…Meta-regression established that HBcrAg’s predictive value was unaffected by age, sex, hepatitis B e antigen status, or detection methods (<i>p</i> > 0.05). Conclusions: HBcrAg is validated as a robust non-invasive biomarker to optimize treatment cessation strategies, with high sensitivity providing strong negative predictive value in CHB populations. …”
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AI-augmented pathology: the experience of transfer learning and intra-domain data diversity in breast cancer metastasis detection by Manuel Cossio, Nina Wiedemann, Esther Sanfeliu Torres, Esther Barnadas Sole, Laura Igual

“…Our experiments demonstrated that integrating an external dataset (Camelyon16) during training significantly improved model performance, surpassing the benefits of data augmentation alone. The optimal model, trained on both external and local data, achieved an accuracy and F1-score of 0.98, outperforming existing state-of-the-art methods.ConclusionsThis study demonstrates that transfer learning architectures, when enhanced with multi-source data integration and interpretability frameworks, can significantly improve metastatic detection in whole slide imaging. …”
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Region-based U-nets for fast, accurate, and scalable deep brain segmentation: Application to Parkinson Plus Syndromes by Mengyu Li, Magnús Magnússon, Ingibjörg Kristjánsdóttir, Sigrún Helga Lund, Thilo van Eimeren, Lotta M. Ellingsen

“…By dividing the brain image into targeted regions around the brainstem, ventricular system, and striatum, our method optimizes GPU usage and significantly reduces training times, while maintaining high accuracy. …”
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Knowledge and self-care practice among patients with hypertension in tertiary public hospitals of Addis Ababa, Ethiopia: A multicenter cross-sectional study by Freweini Gebremeskel Gebresilase, Yohannes Ayalew Bekele, Ketema Bizuwork Gebremedhin, Boka Dugassa Tolera

“…This study aimed to evaluate the level of knowledge and self-care practice among hypertensive patients in Addis Ababa, Ethiopia. Methods: A facility-based cross-sectional study was conducted among 413 hypertensive patients using simple random sampling methods. …”
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Prospective Evaluation of Vacuum-Assisted therapy in patient with abdominal sepsis by L. S. Bilianskyi, Y. V. Prystaia, R. O. Tyshko, Y. M. Dubenko, Y.Y. Myroshnichenko

“…Improve treatment results of patients with abdominal sepsis, due to the diffuse acute secondary peritonitis, by choosing of the optimal method of laparostomy. Materials and methods. …”
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Ecological network construction and community resilience analysis of nocturnal birds: a case study of Hangzhou City, Zhejiang Province, China by Yang Jin, Mingkan Zhang, Danying Yan, Kun Li, Chao Zhou, Xi Chen

“…The study identified 133 ecological sources, 378 ecological corridors, and 5 communities. …”
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VRU-YOLO: A Small Object Detection Algorithm for Vulnerable Road Users in Complex Scenes by Yunxiang Liu, Yuqing Shi

“…However, due to their small size and unpredictable movements, existing detection methods struggle to provide stable and accurate results under real-time conditions. …”
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Evaluation of Energy Saving and Carbon Reduction for Quasi-low Temperature Green Grain Storage in Granary Energy Pile System by ZENG Chang-nv, MA Sai-long, ZHANG Zhen

“…Compared to the unoptimized scheme, the optimized energy pile regulation scheme reduced energy consumption by 18.7%. …”
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Modifying milling parameters: Impact on selective separation of lithium-rich phases in a thermodynamically designed battery slag by Sima Hellmers, Hao Qiu, Bengi Yagmurlu, Arno Kwade

“…Thus, it can be concluded that the grinding parameters not only affect the comminution processes and their energy consumption, but also the particle morphology and flotation behavior. Therefore, an optimal mechanical pre-treatment of the slags enables an increase recovery of lithium in the recycling of LIBs and a decreasing the requirement of primary sources, both of which contribute to the circular economy.…”
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Assessment of mesenchymal stem cells for the treatment of spinal cord injury: a systematic review and network meta-analysis by Runfang Wang, Yiding Wang, Fangning Yan, Jinqing Sun, Tianyu Zhang

“…Network meta-analysis indicated that umbilical cord mesenchymal stem cells (UCMSCs) were the most effective cell source, and intrathecal injection (IT) was the optimal transplantation method.ConclusionThe study suggests that the current use of UCMSCs for IT transplantation may be the best transplantation strategy for improving functional impairment after SCI. …”
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Machine learning supported ground beef freshness monitoring based on near‐infrared and paper chromogenic array by Yihang Feng, Yi Wang, Burcu Beykal, Zhenlei Xiao, Yangchao Luo

“…The optimal preprocessing pipeline was found by 10‐fold cross‐validation in machine learning model development. …”
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A combined prediction model for middle and long-term water and sediment forecasting based on causal analysis feature selection by XuanZhao Kong, KeBin Shi, HaiKun Yao, SiHai Liu

“…The monthly-weighted ensemble approach improves NSE by 0.35%–3.65% for runoff and over 20% for sediment compared to individual optimal models.…”
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Single-particle-thick microstructures fabricated through controlled withdrawal of particles from a dispersion meniscus by Y. Harkavyi, G. Tiwari, Z. Rozynek

“…The physical mechanisms governing structure formation are examined, and key sources of instability are identified to support process optimization. …”
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Comparative Analysis of Control Strategies for Microgrid Energy Management with a Focus on Reinforcement Learning by Parisa Mohammadi, Razieh Darshi, Saeed Shamaghdari, Pierluigi Siano

“…This transformation necessitates advanced energy management strategies in microgrids to integrate renewable energy sources efficiently. Traditional methods, including classical, metaheuristic, model predictive, stochastic, and robust control techniques, have been extensively studied. …”
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Precise Design of Solid Rocket Motor Heat Insulation Layer Thickness under Nonuniform Dynamic Burning Rate by Ran Wei, Futing Bao, Yang Liu, Weihua Hui

“…The proposed method is compatible with solid rocket motors that have any shape and any manner of erosion. …”
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Hybrid RSA-ROA Scheduling Algorithm for Minimization of Power Loss and Improving the Renewable with Sustainable Energy Harvesting in Power System by Cuddapah Anitha, Virendra Swaroop Sangtani, Ajay Kumar Bansal, Mahaveerakannan R., R. Rajesh Sharma, Saravanan M. S.

“…To maximize the harvesting of renewable energy sources (RES) and minimize power scheme losses, this study provides an optimal generation scheduling strategy for a power scheme combined with distributed generation (DG) and sustainable energy storage systems (ESSs). …”
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Feature Extraction and Identification of Rheumatoid Nodules Using Advanced Image Processing Techniques by Azmath Mubeen, Uma N. Dulhare

“…A Hybrid CNN–Transformer model was employed for feature fusion, and feature selection and hyperparameter tuning were optimized using Gray Wolf Optimization (GWO) and Particle Swarm Optimization (PSO). …”
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Flue Gas Temperature Distribution as a Function of Air Management in a High-Temperature Biomass Burner by Aleksandra Dzido, Michalina Kurkus-Gruszecka, Marcin Wilczyński, Piotr Krawczyk

“…Nowadays, as a result of the increasing awareness of European societies and new legal regulations, the role of renewable energy sources in individual heating is growing. One of the forms of renewable heat and electricity production is the use of biomass pellet burners coupled with Stirling engines. …”
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Advances and developments in high strength geopolymer concrete for sustainable construction – A review by V.S. Sujitha, S. Raja, Maher Ali Rusho, Simon Yishak

“…The development and optimization of geopolymer concrete mixtures were discussed, focusing on the selection of raw materials, activators, and curing methods to achieve high-strength characteristics. …”
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Advancements in image classification for environmental monitoring using AI by Jinjing Zhu, Ling Li

“…Future research directions include optimizing computational efficiency for deployment in edge computing and resource-constrained environments, as well as extending the framework to multimodal environmental data sources, such as hyperspectral imagery and sensor networks.…”
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