Carbon Nanodots-Based Sensors: A Promising Tool for Detecting and Monitoring Toxic Compounds by Duyen H. H. Nguyen, Arjun Muthu, Tamer Elsakhawy, Mohamed H. Sheta, Neama Abdalla, Hassan El-Ramady, József Prokisch

“…The article outlines recent advancements in fluorescence, electrochemical, and colorimetric detection strategies and presents key case studies that illustrate the successful application of CNDs in real-world monitoring scenarios. …”
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Effects of riparian buffer width on activity and detection of common bats in the southern Appalachian Mountains by Joy M. O'Keefe, Susan C. Loeb, Patrick D. Gerard, J. Drew Lanham

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Research on Drive and Detection Technology of CMUT Multi-Array Transducers Based on MEMS Technology by Chenyuan Li, Jiagen Chen, Chengwei Liu, Yao Xie, Yangyang Cui, Shiwang Zhang, Zhikang Li, Libo Zhao, Guoxing Chen, Shaochong Wei, Yu Gao, Linxi Dong

“…Finally, the experimental results confirm the successful implementation of the driving system’s designed functions, yielding a center frequency of 1.4995 MHz and a relative bandwidth of 127.9%@−6 dB for the CMUT operating in silicone oil. …”
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FsDAOD: Few-shot domain adaptation object detection for heterogeneous SAR image by Siyuan Zhao, Yong Kang, Hang Yuan, Guan Wang, Hui Wang, Shichao Xiong, Ying Luo

“…Heterogeneous Synthetic Aperture Radar (SAR) image object detection task with inconsistent joint probability distributions is occurring more and more frequently in practical applications. …”
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Network security traffic detection and legal supervision based on adaptive metric learning algorithm by Liu Zhen

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App-DDoS detection method using partial binary tree based SVM algorithm by Bin ZHANG, Zihao LIU, Shuqin DONG, Lixun LI

“…As it ignored the detection of ramp-up and pulsing type of application layer DDoS (App-DDoS) attacks in existing flow-based App-DDoS detection methods,an effective detection method for multi-type App-DDoS was proposed.Firstly,in order to fast count the number of HTTP GET for users and further support the calculation of feature parameters applied in detection method,the indexes of source IP address in multiple time windows were constructed by the approach of Hash function.Then the feature parameters by combining SVM classifiers with the structure of partial binary tree were trained hierarchically,and the App-DDoS detection method was proposed with the idea of traversing binary tree and feedback learning to distinguish non-burst normal flow,burst normal flow and multi-type App-DDoS flows.The experimental results show that compared with the conventional SVM-based and naïve-Bayes-based detection methods,the proposed method has more excellent detection performance and can distinguish specific App-DDoS types through subdividing attack types and training detection model layer by layer.…”
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Self-ordered silver nanoparticles on nanoconcave plasmonic lattices for SERS multi-antibiotic detection by Dar Gohar Ijaz, Xifre-Perez Elisabet, Marsal Lluis F.

“…First, we used a controlled magnetron sputtering technique to deposit AgNPs onto the SERS substrates, synthesized by anodizing aluminum into highly organized concave dimensions. Detection limits approaching the 10−10 M concentration level, owing to an EF of 108, proved that these substrates successfully detected various antibiotics, including amoxicillin and tetracycline. …”
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CQD-based electrochemical immunosensor for sensitive D-dimer detection in thrombosis and COVID-19 by Jillian Gamboa, Carmen Linares, Virginia Cebrián, Hamidreza Enshaei, Óscar Ahumada, Francesc Estrany, Juan Torras

“…Raman spectroscopy and EIS confirmed successful functionalization and increased resistance with Ab and bovine serum albumin layers. …”
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Cellulose-Based Colorimetric Test Strips for SARS-CoV-2 Antibody Detection by Mariana P. Sousa, Ana Cláudia Pereira, Bárbara Correia, Anália do Carmo, Ana Miguel Matos, Maria Teresa Cruz, Felismina T. C. Moreira

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Myxopyrum serratulum-derived carbon quantum dots for the highly selective and sensitive detection of levofloxacin by Anagha P. Surendran, Jincy Mathew, Binu Varghese, Beena Mathew

“…Thus, this work successfully detected LEV through the fluorescence enhancement process.…”
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Liquid–Solid Triboelectric Nanogenerator‐Based DNA Barcode Detection Biosensor for Species Identification by Wenlong Ma, Jiawei Li, Xiaolin Qu, Shao‘e Sun, Yanan Zhou, Yitong Liu, Peng Wang, Zhongli Sha

“…Such biosensor successfully recognizes Alvinocaris muricola among different types of Alvinocarididae shrimps, and its low limit detection can reach 1×10−12 m. …”
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Engineered Fluorescent Variants of Lactadherin C2 Domain for Phosphatidylserine Detection in Flow Cytometry by Ekaterina Koltsova, Albina Avilova, Elena Nikolaeva, Nikita Kolchin, Kirill Butov

“…Here, we demonstrate the successful in-house engineering of fully functional recombinant bovine lactC2-based fluorescent sensors and compare their key parameters to axV probes. …”
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Design of Ultrasonic Flaw Detection Data Processing System Based on LabVIEW and FPGA by TAN Qunlin, ZHANG Dongfang, XIA Lang, HU Liang, ZHONG Sheng

“…LabVIEW FPGA is an embedded graphical development environment suitable for measurement and control field with high development efficiency, good code readability and rich library functions. Nevertheless,it mainly supports the FPGA board of national instrument company. …”
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Optical fiber sensor based on Lossy-mode resonance for tamoxifen detection and sensing applications by Fardin Sadeghfar, Roghaieh Parvizi, Moladad Nikbakht

“…Abstract In this study, we report a novel, eco-friendly optical fiber biosensor for tamoxifen (TAM) detection, featuring a single functional layer of cerium dioxide (CeO2) nanoparticles integrated with a molecularly imprinted polymer (MIP). …”
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Design and investigation of charge plasma-based TMD heterojunction TFET biosensor for ultrasensitive detection by Monika Kumari, Niraj Kumar Singh, Vinay Kantipudi, Manodipan Sahoo

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Bio-Inspired Object Detection and Tracking in Aerial Images: Harnessing Northern Goshawk Optimization by Agnivesh Pandey, Rohit Raja, Sumit Srivastava, Krishna Kumar, Manoj Gupta, Chanyanan Somthawinpongsai, Aziz Nanthaamornphong

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Self-Powered Microsystem for Ultra-Fast Crash Detection via Prestressed Triboelectric Sensing by Yiqun Wang, Yuhan Wang, Xinzhi Liu, Xiaofeng Wang, Keren Dai, Zheng You

“…We further developed a self-powered, compact (<4.5 cm3) microsystem that integrates the shock sensor, a signal processing module, airbag triggering circuitry, and a high-g-resistant supercapacitor as a backup power source. The microsystem achieves ultra-fast shock detection and airbag activation with a delay of less than 0.2 ms. …”
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Comparison of genotyping assays for detection of targeted CRISPR/Cas mutagenesis in highly polyploid sugarcane by Eleanor J. Brant, Eleanor J. Brant, David May, David May, Ayman Eid, Ayman Eid, Fredy Altpeter, Fredy Altpeter

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YOLOv9-GDV: A Power Pylon Detection Model for Remote Sensing Images by Ke Zhang, Ningxuan Zhang, Chaojun Shi, Qiaochu Lu, Xian Zheng, Yujie Cao, Xiaoyun Zhang, Jiyuan Yang

“…Finally, the Variable Minimum Point Distance Intersection over Union (VMPDIoU) loss is proposed to optimize the model’s loss function. This method employs variable input parameters to directly calculate key point distances between predicted and ground-truth boxes, more accurately reflecting positional differences between detection results and reference targets, thus effectively improving the model’s mean Average Precision (mAP). …”
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A diagnosis method based on graph neural networks embedded with multirelationships of intrinsic mode functions for multiple mechanical faults by Bin Wang, Manyi Wang, Yadong Xu, Liangkuan Wang, Shiyu Chen, Xuanshi Chen

“…Additionally, a graph-level based fault diagnosis network model is designed to enhance feature learning capabilities for graph samples and enable flexible application across diverse signal sources and devices. Experimental validation with datasets including independent vibration signals for gear fault detection, mixed vibration signals for concurrent gear and bearing faults, and pressure signals for hydraulic cylinder leakage characterization demonstrates the model's adaptability and superior diagnostic accuracy across various types of signals and mechanical systems.…”
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