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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Evaluation of a Deep Learning Model for Automatic Detection of Schizophrenia Using EEG Signals by Swetha Padmavathi Polisetty, Radhamani Ellapparaj, Karthikeyan M P

“…An automated diagnosis system for schizophrenia detection through a deep learning model is suggested in this research. …”
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Enhancing Drone Detection via Transformer Neural Network and Positive–Negative Momentum Optimizers by Pavel Lyakhov, Denis Butusov, Vadim Pismennyy, Ruslan Abdulkadirov, Nikolay Nagornov, Valerii Ostrovskii, Diana Kalita

“…The developed algorithms for training NN architectures improved the accuracy of drone detection by achieving the global extremum of the loss function in fewer epochs using positive–negative pulse-based optimization algorithms. …”
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A lightweight UAV target detection algorithm based on improved YOLOv8s model by Fubao Ma, Ran Zhang, Bowen Zhu, Xirui Yang

“…Furthermore, the original loss function is replaced with SIoU to enhance detection accuracy. …”
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Improved RT-DETR Network for High-Quality Defect Detection on Digital Printing Fabric by Zebin Su, Yunlong Shao, Pengfei Li, Xingyi Zhang, Huanhuan Zhang

“…We also incorporated an inverted residual mobile block (iRMB) to integrate attention mechanisms into the network’s feature extraction process, and improved the bounding box loss function to enhance the model’s detection accuracy. …”
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A Lightweight Network for UAV Multi-Scale Feature Fusion-Based Object Detection by Sheng Deng, Yaping Wan

“…To tackle the issues of small target sizes, missed detections, and false alarms in aerial drone imagery, alongside the constraints posed by limited hardware resources during model deployment, a streamlined object detection approach is proposed to enhance the performance of YOLOv8s. …”
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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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Research on underwater disease target detection method of inland waterway based on deep learning by Tao Yu, Yu Xie, Jinsong Luo, Wei Zhu, Jie Liu

“…Abstract Aiming at the problems of low detection accuracy and poor generalization ability of underwater disease targets in inland waterways, an underwater disease target detection algorithm for inland waterways based on improved YOLOv5 is designed, which is denoted as YOLOv5-GBCE. …”
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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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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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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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STAR-YOLO: A High-Accuracy and Ultra-Lightweight Method for Brain Tumor Detection by Liyan Sun, Linxuan Zheng, Zhiguo Xiao, Yi Xin, Linqing Jiang

“…STAR-YOLO accomplishes a lightweight design while guaranteeing high detection accuracy, prominently demonstrating its immense potential in the diagnosis of clinical brain tumors, particularly in circumstances with constrained computing resources.…”
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Arrhythmia detection with transfer learning architecture integrating the developed optimization algorithm and regularization method by Fatma Akalın, Pınar Dervişoğlu Çavdaroğlu, Mehmet Fatih Orhan

“…Although it provides a successful analysis opportunity for arrhythmia detection, it is time-consuming and depends on the clinician’s experience. …”
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In Vivo Detection of Staphylococcus aureus Infections Using Radiolabeled Antibodies Specific for Bacterial Toxins by María Isabel González, Mario González-Arjona, Lorena Cussó, Miguel Ángel Morcillo, John Jairo Aguilera-Correa, Jaime Esteban, Martha Kestler, Daniel Calle, Carlos Cerón, Marta Cortes-Canteli, Patricia Muñoz, Emilio Bouza, Manuel Desco, Beatriz Salinas

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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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