A novel antibody against human properdin inhibits the alternative complement system and specifically detects properdin from blood samples. by Diana Pauly, Benedikt M Nagel, Jörg Reinders, Tobias Killian, Matthias Wulf, Susanne Ackermann, Boris Ehrenstein, Peter F Zipfel, Christine Skerka, Bernhard H F Weber

“…Mouse mAb 1340 specifically detected native properdin from human samples with high avidity. …”
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Design and assessment of a multiplex real-time PCR method for simultaneous detection and differentiation of COVID-19 and Influenza A/B by Nafiseh Fotros, Reihaneh Bashiri, Samira Mohammadi-Yeganeh, Mahdi Paryan

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Au Ordered Array Substrate for Rapid Detection and Precise Identification of Etomidate in E-Liquid Through Surface-Enhanced Raman Spectroscopy by Yan Mo, Xiaoping Zhang, Ke Zou, Wen Xing, Xiayang Hou, Yu Zeng, Yugang Cai, Ruixiang Xu, Hongwen Zhang, Weiping Cai

“…Furthermore, it effectively mitigates interference from the complex matrix of e-liquids, facilitating the rapid detection of trace amounts of ET molecules. …”
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A reagent-free, fouling-resistant electrochemical multifunctional peptide sensor for highly sensitive and rapid detection of Alzheimer's disease biomarkers by Yajing Ji, Xueqin Li, Xiumin Li, Xiaochun Hu, Wei Cong, Honggang Hu, Siyao Liu, Yan Chen

“…This study presents a novel, efficient, and rapid strategy for detecting Aβ aggregates in human serum without complex pre-processing and provides practical support for the early clinical diagnosis of AD.…”
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Hyperspectral imaging-driven deep learning approach: Asymptomatic stage detection and severity grading of tomato yellow leaf curl disease by Junzhi Chen, Wenshan Zhong, Xuejun Yue, Ziyu Ding, Mengdan Du, Xuantian Li, Biao Chen, Haifeng Li, ZiFu He, Xiaoman She, Yafei Tang

“…This study proposes a spectral-spatial dual-branch residual network (SSDBRN) designed to fully extract and leverage complex features within hyperspectral images, aiming to achieve detection of TYLCD during its asymptomatic stage and classification of disease severity levels. …”
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Red Raspberry Maturity Detection Based on Multi-Module Optimized YOLOv11n and Its Application in Field and Greenhouse Environments by Rongxiang Luo, Xue Ding, Jinliang Wang

“…In order to achieve accurate and rapid identification of red raspberry fruits in the complex environments of fields and greenhouses, this study proposes a new red raspberry maturity detection model based on YOLOv11n. …”
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PPG-Based Accurate Insomnia Detection System Using Convolutional Neural Networks With Self-Attention Mechanism and Gated Recurrent Units by Hardik Telangore, Heneel Makwana, Prithviraj Verma, Manish Sharma, Hasan S. Mir, U. Rajendra Acharya

“…The results emphasize the effectiveness and interpretability of these advanced models in capturing complex patterns in PPG signals, establishing PPG-based sleep monitoring as a practical and efficient solution for home use with wearable devices.…”
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OculusNet: Detection of retinal diseases using a tailored web-deployed neural network and saliency maps for explainable AI by Muhammad Umair, Jawad Ahmad, Oumaima Saidani, Mohammed S. Alshehri, Alanoud Al Mazroa, Muhammad Hanif, Rahmat Ullah, Muhammad Shahbaz Khan

“…This study introduces OculusNet, an efficient and explainable deep learning (DL) approach for detecting retinal diseases using OCT images. …”
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Integrating Bacteriophage onto the Magnetic Nanozyme for Effective Enrichment and Colorimetric Detection of <i>Cronobacter sakazakii</i> in Powdered Infant Formula by Xuechao Xu, Yuansong Zhang, Lu Gao, Juanli Yang, Zhenquan Yang

“…These results indicate that our proposed reaction system demonstrates its practical application potential for efficient enrichment of <i>C. sakazakii</i> from complex samples and accurate determination of <i>C. sakazakii</i> in PIF.…”
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GDText-VM: an arbitrary-shaped scene text detector based on globally deformable VMamba by Yingnan Zhao, Zheng Hu, Fangqi Ding, Jielin Jiang, Xiaolong Xu

“…Abstract Detecting arbitrary-shaped text in natural scenes remains a significant challenge in deep learning research. …”
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Direct detection from sputum for drug-resistant Mycobacterium tuberculosis using a CRISPR-Cas14a-based approach by Guohui Xiao, Houming Liu, Hui Xu, Hongyu Shi, Dongxin Liu, Min Ou, Peng Liu, Guoliang Zhang

“…Abstract The increasing prevalence of multidrug-resistant tuberculosis (MDR-TB) highlights the urgent need for an efficient approach to identify Mycobacterium tuberculosis complex (MTBC) strains resistant to rifampicin (RIF) and isoniazid (INH). …”
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Screening the Global Health Priority Box against Plasmodium berghei liver stage parasites using an inexpensive luciferase detection protocol by Gia-Bao Nguyen, Caitlin A. Cooper, Olivia McWhorter, Ritu Sharma, Anne Elliot, Anthony Ruberto, Rafael Freitas, Ashutosh K. Pathak, Dennis E. Kyle, Steven P. Maher

“…While blood stage screening assays are routine and efficient, liver stage screening assays are more complex and costly. …”
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Deep learning for automated coral reef monitoring a novel system based on YOLOv8 detection and DeepSORT tracking by Younes Ouassine, Noël Conruyt, Mohsen Kayal, Philippe A. Martin, Lionel Bigot, Vignes Lebbe Regine, Hajar Moussanif, Jihad Zahir

“…The system's performance was evaluated using established metrics: object detection precision, Multiple Object Tracking Accuracy (MOTA), Multiple Object Tracking Precision (MOTP), and Identity F1 Score (IDF1). …”
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PerMSCA-YOLO: A Perceptual Multi-Scale Convolutional Attention Enhanced YOLOv8 Model for Rail Defect Detection by Jialiang Zhang, Ruiqi Zhang, Fengkai Luan, Hu Zhang

“…The innovative contribution of this research lies in its effective strategy for improving detection accuracy and real-time performance through multi-scale feature fusion and deep semantic alignment mechanisms, providing a solution that balances both precision and efficiency for defect detection in complex track environments, with substantial engineering application potential.…”
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Evaluating the Performance of Machine Learning Classifiers for Network Intrusion Detection: A Comparative Study Using the UNSW-NB15 Dataset by Iwan Handoyo Putro

“…It is because of their growing adoption and complexity of cyber-attacks. Therefore, protecting network infrastructures and identifying malicious behavior becomes a necessity. …”
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Enhancing UAV Object Detection in Low-Light Conditions with ELS-YOLO: A Lightweight Model Based on Improved YOLOv11 by Tianhang Weng, Xiaopeng Niu

“…ELS-YOLO features a re-parameterized backbone (ER-HGNetV2) with integrated Re-parameterized Convolution and Efficient Channel Attention mechanisms, a Lightweight Feature Selection Pyramid Network (LFSPN) for multi-scale object detection, and a Shared Convolution Separate Batch Normalization Head (SCSHead) to reduce computational complexity. …”
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RNA-BioLens: A Novel Raspberry Pi-Based Digital Microscope With Image Processing for Acute Lymphoblastic Leukemia Detection by Angeline Dwi Sanjaya, Rachmad Setiawan, Nada Fitrieyatul Hikmah

“…This system aims to enhance detection accuracy and speed while balancing complexity and procurement costs. …”
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Real-Time Detection and Instance Segmentation Models for the Growth Stages of <i>Pleurotus pulmonarius</i> for Environmental Control in Mushroom Houses by Can Wang, Xinhui Wu, Zhaoquan Wang, Han Shao, Dapeng Ye, Xiangzeng Kong

“…Challenges such as scene complexity and overlapping mushroom clusters can impact the accuracy of growth stage detection and target segmentation. …”
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A Low Computational Cost Method for Mobile Malware Detection Using Transfer Learning and Familial Classification Using Topic Modelling by Saket Acharya, Umashankar Rawat, Roheet Bhatnagar

“…In recent times, most researchers and scholars have used deep learning approaches to detect Android malware. Although deep learning techniques provide good accuracy and efficiency, they require high computational cost to train huge and complex data sets. …”
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A Planar-Gate Graphene Field-Effect Transistor Integrated Portable Platform for Rapid Detection of Colon Cancer-Derived Exosomes by Zaiyu Zhang, Luyang Zhang, Yuting Huang, Ziran Wang, Zhongjing Ren

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