Advances in preparation and application of coal-based functional nanomaterials by Shenyong LI, Shenjun QIN, Changquan MEN, Jiajia HOU, Dawei LYU, Xue ZHENG, Wei PANG, Longlong HAO, Daoyuan ZHAO, Shaozhuo ZHANG

“…However, traditional coal utilization as a primary carbon emission source fundamentally conflicts with the “dual-carbon” strategic goals. …”
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Exploring RNA cargo in extracellular vesicles for pleural mesothelioma detection by Agnieszka Kraft, Michaela B. Kirschner, Vanessa Orlowski, Manuel Ronner, Caroline Bodmer, Valentina Boeva, Isabelle Opitz, Mayura Meerang

“…Conclusions This is the first study to characterize the transcriptomic profile of EVs secreted by PM primary cell cultures, demonstrating their potential as biomarker source for early detection. Further investigation of the functional role of PM-EVs will provide new insights into disease biology and therapeutic avenues.…”
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Schizophrenia Detection and Classification: A Systematic Review of the Last Decade by Arghyasree Saha, Seungmin Park, Zong Woo Geem, Pawan Kumar Singh

“…The SZ symptoms can significantly impair daily functioning, underscoring the need for advanced diagnostic tools. …”
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A Lightweight Transformer Model for Defect Detection in Electroluminescence Images of Photovoltaic Cells by Yang Yang, Jing Zhang, Xin Shu, Lei Pan, Ming Zhang

“…To ensure solar panels function well, efficient and accurate defect detection of PV modules is essential. …”
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An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models by Yi Sun, Faxiu Ji

“…By leveraging the tool invocation and reasoning capabilities of LLM in conjunction with a coal mine safety knowledge base, the system achieves logical inference, anomalous data detection, and potential safety risk prediction. Furthermore, its memory functionality ensures the learning and utilization of historical experiences, providing a solid foundation for continuous assessment processes. …”
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The Impact of Differences in Renovation Models of Abandoned Boiler Rooms on Community Vitality—A Case Study of Shenyang, China by Lei Chen, Yahang Cheng, Zixi Zhou, Yibo Wen

“…Unlike prior studies that rely on single data sources or unidimensional metrics, our multi-source approach enhances spatiotemporal resolution, improves the accuracy of subjective perceptions, and enables cross-validation between objective behavioral trajectories and residents’ self-reports, thereby significantly strengthening the comprehensiveness and reliability of community vitality measurement. …”
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LNT-YOLO: A Lightweight Nighttime Traffic Light Detection Model by Syahrul Munir, Huei-Yung Lin

“…These results underscore the model’s feasibility and robustness compared to other state-of-the-art object detection models. The source code and dataset will be available through the GitHub repository.…”
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Synthesis and properties of carbon quantum dots as an antimicrobial agent and detection of ciprofloxacin by Fangzhou Shen, Zhaoyang Lu, Kangli Yan, Kang Luo, Shuchen Pei, Pu Xiang

“…This study introduces a novel approach for the fabrication of N-CQDs derived from natural botanical sources, underscoring their potential dual functionality as fluorescent sensors and antimicrobial materials.…”
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Enhanced object detection in low-visibility haze conditions with YOLOv9s. by Yang Zhang, Bin Zhou, Xue Zhao, Xiaomeng Song

“…Furthermore, the implementation of a nonmonotonic strategy for dynamically adjusting the loss function weights significantly boosts the model's detection precision and training efficiency. …”
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PA-YOLO-Based Multifault Defect Detection Algorithm for PV Panels by Wang Yin, Zhao Jingyong, Xie Gang, Zhao Zhicheng, Hu Xiao

“…For the occlusion problem of dense targets in the dataset, we introduce a repulsive loss function, which successfully reduces the occurrence of false detection situations. …”
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Automated quantification reveals hyperglycemia inhibits endothelial angiogenic function. by Anthony R Prisco, John D Bukowy, Brian R Hoffmann, Jamie R Karcher, Eric C Exner, Andrew S Greene

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Realizing depth measurement and edge detection based on a single metasurface by Yang Siwen, Wei Qunshuo, Zhao Ruizhe, Li Xin, Zhang Xue, Li Yao, Li Junjie, Jing Xiaoli, Li Xiaowei, Wang Yongtian, Huang Lingling

“…Double helix point source function is utilized, and three verification experiments are carried out, including double-helix beam calibration, 2D object and 3D object detection, respectively. …”
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A DFT insight into the potential of cycloparaphenylenes as efficient sensors for detecting Paracetamol by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

“…This study presents a computational investigation into the sensing capabilities of methylene-bridged [n]cycloparaphenylene ([n]MCPP, where n= 6, 8, and 10) nanorings for the detection of paracetamol using density functional theory (DFT) calculations. …”
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The Bright Feature Transform for Prominent Point Scatterer Detection and Tone Mapping by Gregory D. Vetaw, Suren Jayasuriya

“…We then modify the BFT to present a difference of trigonometric functions to mitigate speckle scatterers and other random noise sources found in the imagery. …”
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Assessing the stability of indoor farming systems using data outlier detection by Jean Pompeo, Ziwen Yu, Chi Zhang, Songzi Wu, Ying Zhang, Celina Gomez, Melanie Correll

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Vulnerability detection method for blockchain smart contracts based on metamorphic testing by Jinfu CHEN, Zhenxin WANG, Saihua CAI, Qiaowei FENG, Yuhao CHEN, Rongtian XU, KwakuKudjo Patrick

“…Aimed at the defects of existing test methods, a vulnerability detection method for blockchain smart contracts based on metamorphic testing was proposed, which could generate test cases for specific functions in blockchain smart contracts to detect possible vulnerabilities.According to the possible security vulnerabilities, different metamorphosis relationships were designed and then metamorphic testing was performed.Through verifying whether the metamorphic relationship between the source test case and the subsequent test case was satisfied, whether the smart contract had related security vulnerabilities was judged.The experimental results show that the proposed method can effectively detect the security vulnerabilities in the smart contracts.…”
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Ti3C2Tx@Pt nanocomposite based colorimetric and electrochemical dual-mode platform for glucose detection by Xuming Sun, Mingyan Zhang, Jinlong Chang, Linyan Xie, Qiongqiong Ren, Wenshuai Jiang, Zhen Jin, Shiqi Pan, Xiuli Yang, Wu Ren

“…Glucose is the main source of energy in cellular metabolism and is essential for normal cellular function and growth. …”
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A Feature-Selective Independent Component Analysis Method for Functional MRI by Yi-Ou Li, Tülay Adali, Vince D. Calhoun

“…In this work, we propose a simple and effective scheme to incorporate prior knowledge about the sources of interest (SOIs) in independent component analysis (ICA) and apply the method to estimate brain activations from functional magnetic resonance imaging (fMRI) data. …”
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Urban Traffic State Sensing and Analysis Based on ETC Data: A Survey by Yizhe Wang, Ruifa Luo, Xiaoguang Yang

“…The construction of multi-source data fusion frameworks enables effective complementarity between ETC data, floating car data, and video detection data, significantly improving traffic state estimation accuracy. …”
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An optimization method of multiscale storage tank target detection introducing an attention mechanism by Wenjia Sun, Chunchun Hu, Nianxue Luo, Qiansheng Zhao

“…As containers for chemical storage, storage tanks are potential sources of hazards. Conducting target detection for hazard risk analysis is essential. …”
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