A Multi-Branch Convolution and Dynamic Weighting Method for Bearing Fault Diagnosis Based on Acoustic–Vibration Information Fusion by Xianming Sun, Yuhang Yang, Changzheng Chen, Miao Tian, Shengnan Du, Zhengqi Wang

“…Rolling bearings, as critical components of rotating machinery, directly affect the reliability and efficiency of the system. Due to extended operation under high load, harsh environmental conditions, and continuous use, bearings become more susceptible to failure, leading to a higher likelihood of malfunction. …”
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Remote Non-Destructive Testing of Port Cranes: A Review of Vibration and Acoustic Sensors with IoT Integration by Jan Lean Tai, Mohamed Thariq Hameed Sultan, Rafał Grzejda, Farah Syazwani Shahar

“…Safe and efficient operation of port cranes is vital for maintaining the efficiency of global maritime logistics. …”
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Real-time perception and intelligent early warning technology for power grid control operations based on multi-dimensional data fusion by Wei Li, Chao Hu, Bo Zhou, Weibo Peng

“…Abstract With the increasing complexity of power grid regulation scenarios, traditional monitoring systems rely on a single data source and cannot fully reflect the real-time status of the power grid, resulting in delayed fault detection and response. …”
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A Validation Tool (VaPCE) for Postcoordinated SNOMED CT Expressions: Development and Usability Study by Tessa Ohlsen, Viola Hofer, Josef Ingenerf

“… Abstract BackgroundThe digitalization of health care has increased the demand for efficient data exchange, emphasizing semantic interoperability. …”
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XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance by Yunus Emre Esen, Berk Kaan Cetincan, Kubra Yayan, Huseyin Guray Gurlek, Ugur Yayan

“…Scenario-based performance showed the average scores in health and safety tasks (72 points), while robotic system operations (60 points) and maintenance (54 points) reflected increasing task complexity. Despite moderate cognitive demands, the platform effectively balanced mental effort with engagement, providing an accessible and effective training experience. …”
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ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool by D. Di Santo, C. He, F. Chen, L. Giovannini

“…<p>The accurate calibration of parameters in atmospheric and Earth system models is crucial for improving their performance but remains a challenge due to their inherent complexity, which is reflected in input–output relationships often characterised by multiple interactions between the parameters, thus hindering the use of simple sensitivity analysis methods. …”
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Triple Filtering of Terrain Conductivity Data for Precise Tracing of Underground Utilities by Mohamed Rashed, Abdulaziz Alqarawy, Nassir Al-Amri, Riyadh Halawani, Milad Masoud, Maged El Osta

“…Terrain conductivity meters (TCMs) are efficient devices for different sorts of subsurface investigations, including detecting and tracing buried utilities, such as metallic pipes and cables. …”
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Serum-biomarker-based population screening model for hepatocellular carcinoma by Wenmin Liao, Wenbin Lin, Zhonglian He, Chenyang Feng, Yuying Liu, Zixian Wang, Ruizhi Wang, Meifang He, Shuqin Dai, Ying Sun, Wei Wei, Peisong Chen, Chaofeng Li

“…This two-stage model offers a practical, cost-efficient tool for early HCC detection, addressing a significant public health need.…”
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Research on Fault Diagnosis Method for Marine Diesel Engines Based on Multi-Scale Attention Mechanism Transformer by Manyi Chen, Huibing Gan, Hangjie Wu

“…This multi-scale strategy enhances the extraction of detailed and coarse-grained features, improving the model’s capacity to detect and characterize complex diesel engine faults. …”
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Identification of Metabolites of Ferulic Acid in Human after Oral Administration by Qian PAN, Wei LI, Yang YANG, Yong-qiang ZHAO, Li LIAN, Qing-qing CONG, Li-hong WANG, Yue-lin SONG, Qian HONG

“…Liquid chromatography coupled with mass spectrometry (LC-MS) combines the high-efficiency separation capabilities of LC with the powerful qualitative analysis advantage of MS, playing a vital and irreplaceable role in the in-depth study of chemical profiles in complex systems. …”
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Metallurgical Waste for Sustainable Agriculture: Converter Slag and Blast-Furnace Sludge Increase Oat Yield in Acidic Soils by Olga V. Zakharova, Peter A. Baranchikov, Svetlana P. Chebotaryova, Gregory V. Grigoriev, Nataliya S. Strekalova, Tatiana A. Grodetskaya, Igor N. Burmistrov, Sergey V. Volokhov, Denis V. Kuznetsov, Alexander A. Gusev

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Bandwagon effect, free-rider effect, tragedy of the commons: collaborative governance of marine pollution by Yu Gu

“…Traditional governance models struggle to effectively address the complexity of trans-regional and cross-sectoral pollution sources. …”
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Numerical insights into enhanced heat transfer mechanisms in TiO2-Au ethylene glycol nanofluids within Darcy porous media using fractional calculus by Mumtaz Khan, Dianchen Lu, Mudassar Imran, Muhammad Shoaib Anwar

“…The complex fractional partial differential equations governing the system are solved numerically using the finite difference method in combination with the L1 algorithm, ensuring an efficient and accurate solution process. …”
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A Hybrid Path Planning Algorithm for Orchard Robots Based on an Improved D* Lite Algorithm by Quanjie Jiang, Yue Shen, Hui Liu, Zohaib Khan, Hao Sun, Yuxuan Huang

“…These results confirm the method’s strong applicability in complex, constrained orchard environments and its potential as a foundation for efficient, safe, and fully autonomous agricultural robot operation.…”
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Traffic Incident Duration Prediction: A Systematic Review of Techniques by Artur Grigorev, Adriana-Simona Mihaita, Fang Chen

“…Key challenges identified include the following: data quality issues, model interpretability, and the complexities associated with high-dimensional datasets. …”
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Syntactic Analysis of Spatial Structure Characteristics of Traditional Villages Along the Yellow River in Western Shanxi Province by Chenge GAO, Fang WANG

“…ObjectiveTraditional villages are typical carriers for examining the genetic makeup and cultural lineage of the Chinese nation and reflecting the interaction between human and nature. …”
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U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…The use of feature cropping and stitching techniques allows the model to efficiently integrate multi-scale features, thereby enhancing the robustness and effectiveness of facial expression recognition tasks. …”
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A Delayed Response in the Area‐Concentrated Search Can Improve Foraging Success by Thotsapol Chaianunporn, Thomas Hovestadt

“…The dACS rule does not rely on complex spatial memory but only on memorizing how long ago resources were found or not. …”
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Can Smart Electrochemical Sensors Sustainably Tackle PFAS-@Microplastics? by Andrea Lee, Riley Orr, Justin Sanchez-Almirola, Jasmina Casals-Terré, Ajeet Kaushik

“…Electrochemical sensors detect MPs (ppb) and PFAS (ppt) selectively, but simultaneous detection of both in the PFAS@MP complexation has not been demonstrated. …”
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Numerical simulation study on the damage characteristics of water jet impact in drill holes with gangue coal rock by Yabin Gao, Shaoqi Zhang, Junyu Hong, Jing Cao, Mengbo Li

“…The results of this research provide a crucial theoretical foundation for understanding the fracturing behavior of coal rock under complex geological conditions. Furthermore, they lay a solid groundwork for optimizing the drilling and water jet coal rock fracturing process, as well as for developing efficient gas extraction technologies.…”
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