Experimental Evaluation and Thermodynamic Analysis of Magnetic Fe₃O₄@La-Zr-MOFs for Highly Efficient Fluoride and Phosphate Removal by Ziyi Zhang, Xinyun Chen, Yongyi Yu, Wenbin Pan, Ruilai Liu, Jiangyan Song, Jiapeng Hu

“…The magnetic Fe₃O₄@La-Zr-MOFs exhibited a magnetic recovery efficiency of 93%, and they could maintain outstanding adsorption performance at a broad range of pH values and superior selectivity for phosphate and fluoride ions. …”
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Research on Outdoor Navigation of Intelligent Wheelchair Based on a Novel Layered Cost Map by Jianwei Cui, Siji Yu, Yucheng Shang, Yuxiang Dai, Wenyi Zhang

“…Secondly, the drivable area layer is integrated into the traditional hierarchical cost map, in which the drivable area detection algorithm utilizes local plane fitting and elevation difference analysis to achieve efficient ground point cloud segmentation and real-time updating, which ensures the real-time safety of navigation. …”
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Subsurface cavity detection in a karst environment using electrical resistivity (er): a case study from yongweol-ri, South Korea by Farooq Muhammad, et al

“…The electrical resistivity imaging result proved precise and extremely efficient in delineating the karstic void investigation and should be taken into account when choosing an investigation technique to be used at complex geological sites. …”
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Clinical application of metagenomic next-generation sequencing in etiologic diagnosis of severe pneumonia in adults by Zhen-Chuan Xing, Hua-Zheng Guo, Peng Zhen, Ting Ao, Ming Hu

“…The detection efficiencies of different methods were compared and the associated pathogen profiles were analyzed.ResultsAmong the 132 patients, there were 92 males and 40 females, with a total of 52 deaths. …”
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An enhanced network for extracting tunnel lining defects using transformer encoder and aggregate decoder by Bo Guo, Zhihai Huang, Haitao Luo, Perpetual Hope Akwensi, Ruisheng Wang, Bo Huang, Tsz Nam Chan

“…Compared to state-of-the-art segmentation networks, our model improves the accuracy of tunnel lining defect extraction, showcasing enhanced extraction effectiveness and anti-interference capability, thus meeting the engineering requirements for defect detection in complex environments of tunnels.…”
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PDCNet: A Polarimetric Data-Enhanced Contrastive Learning Network for PolSAR Land Cover Classification by Bo Ren, Chaoyue Hua, Biao Hou, Jian Lv, Chen Yang, Licheng Jiao, Jocelyn Chanussot

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Transforming Healthcare: A Review of Additive Manufacturing Applications in the Healthcare Sector by Alok Bihari Singh

“…This review systematically examines various AM technologies, including stereolithography, selective laser sintering, and fused deposition modeling. …”
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A Lightweight Person Detector for Surveillance Footage Based on YOLOv8n by Qicheng Wang, Guoqiang Feng, Zongzhe Li

“…To enable person detection tasks in surveillance footage to be deployed on edge devices and their efficient performance in resource-constrained environments in real-time, a lightweight person detection model based on YOLOv8n was proposed. …”
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Microplastics in soil: a comprehensive review of analytical techniques by Sedat Gündoğdu, Muhittin Onur Akça, Mehmet Gursoy, Murat Yılmaz, Xiaoyu Zhang, Xiaoyu Zhang, Andrés Rodríguez-Seijo, Andrés Rodríguez-Seijo, Aisha Bibi, Maria Luisa Di Gioia, Milica Velimirovic

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Optical Frequency Comb-Based 256-QAM WDM Coherent System with Digital Signal Processing Algorithm by Babar Ali, Ghulam Murtaza, Hafiz Muhammad Bilal, Tariq Mahmood, Muhammad Rashid, Zaib Ullah

“…Digital signal processing (DSP) techniques, including digital filtering, detection, and impairment compensation, contribute to high transmission and spectral efficiency (SE). …”
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Millimeter-Wave Imaging with Range-Resolved 3D Depth Extraction Using Glow Discharge Detection and Frequency-Modulated Continuous Wave Radar by Arun Ramachandra Kurup, Daniel Rozban, Amir Abramovich, Yitzhak Yitzhaky, Natan Kopeika

“…This work demonstrates the potential of GDD-based 3D MMW imaging as a low-cost, efficient solution for security screening and industrial inspection. …”
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Solar FaultNet: Advanced Fault Detection and Classification in Solar PV Systems Using SwinProba‐GeNet and BaBa Optimizer Models by Praveen Kumar Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri, Faisal Alsaif

“…ABSTRACT Detection of faults in solar photovoltaic (PV) systems is an important concern to guarantee that renewable energy source generation keeps its efficiency and reliability. …”
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Enhancing the Distinguishability of Minor Fluctuations in Time Series Classification Using Graph Representation: The MFSI-TSC Framework by He Nai, Chunlei Zhang, Xianjun Hu

“…Compared with ten benchmark methods, MFSI-TSC exhibits both high accuracy and computational efficiency, making it more suitable for deployment in sensor systems to complete incipient fault detection tasks.…”
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Preparation of Magnetic Molecularly Imprinted Polymers Based on Group Sensing Quenching and Their Adsorption Characteristics on Signaling Molecules by Junqiang SUN, Haiyang YANG, Yao QU, Huarong YU, Fangshu QU, Yuxuan WAN

“…This selectivity is a key advantage of molecularly imprinted polymers, enabling the targeted removal of specific compounds from complex mixtures. …”
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Attack scenarios reasoning,hypothesizing and predicting based on capability transition model by TIAN Zhi-hong1, ZHANG Wei-zhe1, ZHANG Yong-zheng2, ZHANG Hong-li 1, LI Yang2, JIANG Wei1

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Attack scenarios reasoning,hypothesizing and predicting based on capability transition model by TIAN Zhi-hong1, ZHANG Wei-zhe1, ZHANG Yong-zheng2, ZHANG Hong-li 1, LI Yang2, JIANG Wei1

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A reliable approach for identifying acute lymphoblastic leukemia in microscopic imaging by Mimosette Makem, Levente Tamas, Lucian Bușoniu

“…In this study, we deployed a pre-trained CNN model (MobileNet) that has a small size and low complexity, making it suitable for mobile applications and embedded systems. …”
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Identification of leaves of wild Ussurian Pear (Pyrus ussuriensis) based on YOLOv10n-MCS by Niman Li, Niman Li, Xingguang Dong, Yongqing Wu, Luming Tian, Ying Zhang, Hongliang Huo, Dan Qi, Jiayu Xu, Chao Liu, Zhiyan Chen, Yulu Mou

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A Method for Recognizing Dead Sea Bass Based on Improved YOLOv8n by Lizhen Zhang, Chong Xu, Sai Jiang, Mengxiang Zhu, Di Wu

“…Therefore, it is necessary to promptly detect dead fish and take countermeasures. Existing object detection algorithms, when applied to the task of detecting dead sea bass, often suffer from excessive model complexity, high computational cost, and reduced accuracy in the presence of occlusion. …”
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Red Tide Detection Method Based on a Time Series Fusion Network Model: A Case Study of GOCI Data in the East China Sea by Tianhong Ding, Zhiqiang Xu, Yunjie Wang, Qinglian Hou, Xiangyong Liu, Fengshuang Ma

“…Experimental results demonstrate that CSF-RTDNet achieves robust detection of red tides with complex boundaries and continuous temporal patterns, attaining an accuracy of 95.89%, precision of 93.03%, recall of 96.34%, and a Kappa coefficient of 0.95. …”
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