An Innovative Strategy for Untargeted Mass Spectrometry Data Analysis: Rapid Chemical Profiling of the Medicinal Plant <i>Terminalia chebula</i> Using Ultra-High-Performance Liquid... by Jia Yu, Xinyan Zhao, Yuqi He, Yi Zhang, Ce Tang

“…This strategy demonstrates high efficiency in resolving complex polyphenolic and triterpenoid profiles and enables rapid annotation of both known and novel metabolites. …”
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A rapid calculation method for dynamic linepack of natural gas by coupling data and mechanism models by Xiong YIN, Jing ZHANG, Fei YANG, Yumo ZHU, Kenan SONG, Jinliang GENG, Kai WEN, Jing GONG

“…Additionally, the dynamic linepack calculation method relies on complex online simulation systems, resulting in low calculation efficiency and challenges in meeting practical application needs. …”
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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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Investigation of high fecundity genes by nanopore sequencing in sheep (Ovis aries) pituitary by Xue Xiao, Zhibin Ji, Tong Wang, Dejie Zhu, Zhonghui Li, Xinming Xu, Fen Li

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Spatial distribution prediction of pore pressure based on Mamba model by Xingye Liu, Xingye Liu, Bing Liu, Wenyue Wu, Qian Wang, Yuwei Liu

“…The model is a structured state-space model designed to process complex time-series data, and improve efficiency through parallel scan algorithm, making it suitable for large-scale three-dimensional data prediction. …”
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Joint Transmit-receive Beam Design of FDA-MIMO Dual-function Radar-communication Systems for Radio-frequency Stealth by Haozheng WU, Chenguang SHI, Jianjiang ZHOU

“…Efficient Radio-Frequency (RF) stealth is crucial for Dual-Function Radar-Communication (DFRC) systems that detect radar stealth and con vert communication transmission. …”
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Crop-Free-Ridge Navigation Line Recognition Based on the Lightweight Structure Improvement of YOLOv8 by Runyi Lv, Jianping Hu, Tengfei Zhang, Xinxin Chen, Wei Liu

“…The results indicate that the model maintains high accuracy while significantly outperforming Mask-RCNN, YOLACT++, YOLOv8, and YOLO11 in terms of computational speed. The detection frame rate increased significantly, improving the real-time performance of detection. …”
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An appraisal of backscatter removal and refraction calibration models for improving the performance of vision-based mapping and navigation in shallow underwater environments by Fickrie Muhammad, Poerbandono, Harald Sternberg, Eka Djunarsjah, Hasanuddin Z Abidin

“…Furthermore, additional visual-inertial datasets quantify the overall performance, especially in retrieving metric positioning information. The research shows efficient backscatter removal improves feature detection robustness, especially in murky water conditions. …”
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Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus Constraint by Wang Bin, Yang Wenfang, Wang Jinkuan

“…We propose a waveform design method which can efficiently synthesize waveforms and provide a trade-off between estimation performance and detection performance. …”
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Classification of Alzheimer's disease using unsupervised diffusion component analysis by Dominique Duncan, Thomas Strohmer

“…The new algorithm constructs coordinates as an extension of diffusion maps and generates efficient geometric representations of the complex structure of the MRI data. …”
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DMP-KDO-PCLoSA: a LiDAR point cloud visibility analysis method for urban remote sensing using depth map projection and KNN optimization by Jianghong Zhao, Yihong Zhang, Ailin Xu, Xueqing Zhang, Yingyi Zhang, Shuhan Guo

“…Compared to density-based and voxel-based methods, our approach achieves 92.23% visibility detection accuracy (VDA), reduces false detection rates by 1.09%, and decreases computation time by 40%. …”
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Research on COP Prediction Model of Chiller Based on PSO-SVR by Zhou Xuan, Cai Panpan, Lian Sizhen, Yan Junwei

“…So this model can provide theoretical basis for the chiller energy efficiency analysis, fault detection and diagnosis and optimizing control.…”
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Electromagnetic Scattering of Electrically Large Ship above Sea Surface with SBR-SDFM Method by Lixin Guo, Tiantian Feng

“…Thus, scattering properties of composite ship-ocean scenes with influence of various parameters (such as incident angle and wind speed) can be studied and analyzed efficiently. Studying such properties is of significance for target detection and high-resolution radar imaging in sea environments. …”
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Relation of Muscles Coordination to the Major Degrees of Freedom in Three Upper Limb Motions by Morteza Farrokhnia, Seyyed Arash Haghpanah, Esmaeal Ghavanloo, Mohammad Taghi Karimi

“…Given the high degrees of freedom (DOF) in the shoulder complex, the IK approach is employed to detect the major DOF involved in each movement. …”
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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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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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Advances in Surface-Enhanced Raman Spectroscopy for Therapeutic Drug Monitoring by Huasheng Lai, Xinlan Wang, Menghan Qi, Hao Huang, Bingqiong Yu

“…This review examines the latest advancements in SERS substrates and their applications in TDM, highlighting the innovations in substrate design that enhance detection sensitivity and selectivity. We discuss the challenges faced by SERS for TDM, such as substrate signal reproducibility and matrix interference from complex biological samples, and explore solutions like digital colloid-enhanced Raman spectroscopy, enrichment detection strategies, microfluidic SERS, tandem instrument technologies, and machine learning-enabled SERS. …”
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SAMU-Net: A dual-stage polyp segmentation network with a custom attention-based U-Net and segment anything model for enhanced mask prediction by Radiful Islam, Rashik Shahriar Akash, Md Awlad Hossen Rony, Md Zahid Hasan

“…Early detection of colorectal cancer through the proper segmentation of polyps in the colonoscopy images is crucial. …”
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An MILP Model for Optimizing Quality Inspection Allocation with Technology Selection and Variable Sampling Rates by Michele Ronchi, Cristian Cafarella, Matteo Gabellini, Alberto Regattieri, Mauro Gamberi

“…Quality inspection is critical for ensuring efficiency and compliance in assembly lines. The increasing adoption of AI-driven technologies, such as machine vision systems, offers significant potential to enhance detection performance and reduce inspection costs. …”
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Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx. by Yicheng Long

“…Amid substantial capital influx and the rapid evolution of online user groups, the increasing complexity of user behavior poses significant challenges to cybersecurity, particularly in the domain of vulnerability prediction. …”
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