ZnO-nanostructured electrochemical sensor for efficient detection of glyphosate in water by Zorica Novakovic, Zorka Z. Vasiljevic, Maria Vesna Nikolic, Nenad B. Tadic, Tijana Djordjevic, Marko Radovic, Ivana Gadjanski, Snežana Papović, Filip Vlahovic, Dalibor Stankovic, Jasmina Vidic

“…Herein, we report on a solid-state electrochemical sensor based on ZnO nanoparticles (ZnO NPs) for on-site detection of glyphosate. Accordingly, ZnO NPs was drop-cast on the surface of a disposable screen-printed carbon electrode. …”
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Molecularly imprinted polymer technology for electrochemical detection of diabetes-related biomarkers by Launa Silky Karenindra Rokhmat, Irkham, Serly Zuliska, Adisyahputra, Yohanes Susanto Ridwan, Retna Putri Fauzia, Putra Rafli Ramdani, Yeni Wahyuni Hartati

“…MIPs-based electrochemical sensors offer significant advantages, including high stability, selectivity, reproducibility, and cost-effectiveness, making them highly suitable for rapid and portable biomarker detection. This review provides a comprehensive overview of recent advances in MIPs-based electrochemical sensors for DM biomarker detection, emphasizing various synthesis strategies, including bulk polymerization, surface polymerization, electropolymerization, and cooling polymerization. …”
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Aptamer-Conjugated Magnetic Nanoparticles Integrated with SERS for Multiplex Salmonella Detection by Fan Sun, Kun Pang, Keke Yang, Li Zheng, Mengmeng Wang, Yufeng Wang, Qiang Chen, Zihong Ye, Pei Liang, Xiaoping Yu

“…When target bacteria are present, aptamer-conjugated magnetic beads exhibit preferential binding to the bacteria, leading to a decrease in the surface-enhanced Raman scattering (SERS) signal. And it was used for the detection of five different serotypes of <i>Salmonella</i>, respectively, and the results showed that the aptamer sensor exhibited a good linear relationship between the concentration range of 10²–10⁸ CFU/mL and LOD is 35.51 CFU/mL. …”
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Towards Detecting Climate Change Effects With UAV-Borne Imaging Radars by Ingrid Ullmann, Christina Bonfert, Alexander Grathwohl, Mohamed Amine Lahmeri, Victor Mustieles-Perez, Julian Kanz, Elena Sterk, Frederik Bormuth, Roghayeh Ghasemi, Patrick Fenske, Michelangelo Villano, Robert Schober, Robert F. H. Fischer, Gerhard Krieger, Christian Damm, Christian Waldschmidt, Martin Vossiek

“…Climate change is associated with a variety of environmental phenomena, such as the melting of glaciers, the drying out of crops and soils, and an increase in the risk of avalanches. To detect and monitor these changes, satellite-based radar imaging is widely used, as it enables the large-scale mapping of the Earth&#x0027;s surface independent of weather and sunlight. …”
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Reliable Detections of Atmospheres on Rocky Exoplanets with Photometric JWST Phase Curves by Mark Hammond, Claire Marie Guimond, Tim Lichtenberg, Harrison Nicholls, Chloe Fisher, Rafael Luque, Tobias G. Meier, Jake Taylor, Quentin Changeat, Lisa Dang, Hamish C. F. C. Hay, Oliver Herbort, Johanna Teske

“…This emission is a function of their surface and atmospheric properties, potentially allowing detections of atmospheres. …”
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Rapid detection of brain tumor cells using memristors for biomedical applications by Longhui Fu, Huangtao Chen, Bai Sun, Zelin Cao, Kaikai Gao, Mengna Wang, Wentao Yan, Kun Wang, Teng Wu, Siyuan Zhang, Shouping Gong, Pengyu Ren

“…Brain tumors often lead to compression or hemorrhage that can seriously threaten patients' life. However, the rapid detection of brain tumor types has always been a bottleneck technology in the field of neuroscience research. …”
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Population-level Hypothesis Testing with Rocky Planet Emission Data: A Tentative Trend in the Brightness Temperatures of M-Earths by Brandon Park Coy, Jegug Ih, Edwin S. Kite, Daniel D. B. Koll, Moritz Tenthoff, Jacob L. Bean, Megan Weiner Mansfield, Michael Zhang, Qiao Xue, Eliza M.-R. Kempton, Kay Wohlfarth, Renyu Hu, Xintong Lyu, Christian Wöhler

“…We also find that fresh (unweathered) fine-grained surfaces can serve as a false positive to the detection of moderate atmospheric heat redistribution through eclipse observations. …”
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Latent Fingerprint Detection with SYPRO® Rose Plus Protein Blot Stain by Kimberly K. Bouldin, E. Roland Menzel

“…Lanthanide complexes are employed in photoluminescence detection of fingerprints because their long luminescence lifetimes allow use of time-resolved imaging techniques to suppress problematic background fluorescence. …”
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Microbial Biofilm Detection and Differentiation by Dual Staining Using Maneval’s Stain by B Nirmala, Balram Omar

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Research on Intelligent Detection and Segmentation of Rock Joints Based on Deep Learning by Lei Peng, Haibo Wang, Chun Zhou, Feng Hu, Xiaoyang Tian, Zhu Hongtai

“…Additionally, to tackle the challenge of low detection accuracy in existing image processing methods, particularly for complex tunnel joint surfaces in dark environments, the paper introduces a path aggregation network (PANet) to enhance the fusion capability of feature information in Mask R-CNN, thereby improving the accuracy of the intelligent detection method. …”
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RADNet: Adaptive Spatial-Dilation Learning for Efficient Road Crack Detection by Kehao Du, Yifan Dai

“…Road crack detection is crucial for infrastructure maintenance and traffic safety, yet existing methods struggle to balance detection accuracy and computational efficiency due to complex texture similarities between cracks and road surfaces. …”
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An enhanced YOLOv8 model for accurate detection of solid floating waste by Juxing Di, Kaikai Xi, Yang Yang

“…Abstract To address the challenges in floating waste detection on water surfaces, such as small object scale, irregular shapes, and strong background interference, this study proposes an enhanced detection model based on the YOLOv8s frame work, named ES-YOLOv8. …”
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Building Damage Visualization Through Three-Dimensional Reconstruction and Window Detection by Ittetsu Kuniyoshi, Itsuki Nagaike, Sachie Sato, Yue Bao

“…The proposed method utilizes a 3D scanner to capture point cloud data and images, which are processed to extract building surfaces, detect inclination, and assess secondary structural components such as window frames. …”
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Autonomous Sewer Robot: A Laser Marker-Based Detection System by Vygantas Ušinskis, Andrius Dzedzickis, Justas Nekrašas, Vytautas Bučinskas

“…For this reason, in this study, a cost-efficient laser marker-based obstacle detection and measurement system is designed and tested for future use in autonomous sewer robot local path generation. …”
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An ensemble learning framework for enhanced anomaly and failure detection in IoT systems by Ismail Bibers, Mustafa Abdallah

“…The rapid proliferation of Internet of Things (IoT) devices has revolutionized modern connectivity but also introduced significant cybersecurity challenges due to heterogeneous architectures, resource limitations, and expanding attack surfaces. In this study, we propose a flexible ensemble-based anomaly detection framework tailored for IoT environments. …”
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A comprehensive survey on IoT attacks: Taxonomy, detection mechanisms and challenges by Tinshu Sasi, Arash Habibi Lashkari, Rongxing Lu, Pulei Xiong, Shahrear Iqbal

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CDWMamba: Cloud Detection with Wavelet-Enhanced Mamba for Optical Satellite Imagery by Shiyao Meng, Wei Gong, Siwei Li, Ge Song, Jie Yang, Yu Ding

“…Moreover, the model exhibits satisfactory performance under challenging conditions such as snow/ice and shrubland surfaces. These results verify the effectiveness of combining a state space model, frequency-domain representation, and spectral–spatial attention for cloud detection in multi-spectral remote sensing imagery.…”
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Trust Domain Extensions Guest Fuzzing Framework for Security Vulnerability Detection by Eran Dahan, Itzhak Aviv, Michael Kiperberg

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Real-time locomotion mode detection in individuals with transfemoral amputation and osseointegration by Bahareh Ahkami, Morten B. Kristoffersen, Max Ortiz-Catalan

“…Further research into understanding and compensating for variations in the locomotion detection accuracy for different participants is crucial.…”
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Detection of distress in rural road pavements: an analysis of UAV altitude variations by L. Inzerillo, F. Acuto, A. Pisciotta, K. Mantalovas, G. Di Mino

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