Label-Free Biosensors for Cell Biology by Ye Fang

“…This paper presents historical development, detection principles, and applications in cell biology of label-free biosensors. …”
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State of the art detection methods of microplastics as marine litter: a mini review by Rajib Biswas

“…In recent years, significant progress has been made in developing detection methods to enhance our understanding of microplastic pollution. …”
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On Torsion of Functionally Graded Elastic Beams by Marina Diaco

“…Examples of functionally graded elliptic cross sections of orthotropic beams are developed, detecting thus new benchmarks for computational mechanics.…”
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Exploring Machine Learning Methods for Aflatoxin M1 Prediction in Jordanian Breast Milk Samples by Abdullah Aref, Eman Omar, Eman Alseidi, Nour Elhuda A. Alqudah, Sharaf Omar

“…The presence of aflatoxin M1 in breast milk poses a serious risk to the health of infants because of its potential to cause cancer and have negative effects on development. Detecting AFM1 in milk samples using conventional methods is often time-consuming and may not provide real-time monitoring capabilities. …”
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Systematic Literature Review for Detecting Intrusions in Unmanned Aerial Vehicles Using Machine and Deep Learning by Abdulaziz A. Alzubaidi

“…Detecting these intrusions has recently gained attention in academia and industrial fields for addressing existing threats and developing detection frameworks, such as utilizing machine and deep learning algorithms. …”
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Application of PCR Reverse Dot Blot Hybridization Technology for Detecting Pathogenic Bacteria in Medical Masks by Lu Xin, Gao Nana, Zhang Zheng, Qiu Peng

“…Conclusion: The developed detection method is rapid, highly specific, and sensitive, making it suitable for the quick detection of pathogenic bacteria in masks.…”
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A comprehensive method on black-legged tick larvae and nymph feeding on mice to study Lyme disease transmission and acquisition by Aaron Scholl, Bingjie Li, John Dennis, Sandip De

“…To develop effective control measures against these diseases and prevent the transmission of tick-borne infections through human and animal tissues, it is very important to develop detection assays and understand the transmission mechanisms of tick-borne infections. …”
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A fluorescent composite of europium metal organic framework with carbon dots for highly sensitive and specific detection of ciprofloxacin by Chetna Sharma, Prakriti Sharda, Neha Bhardwaj, Vanish Kumar, Jyotsana Mehta

“…Therefore, it is crucial to develop detection techniques for antibiotic contamination that can produce a rapid, sensitive, and antibiotic-selective response in diverse samples. …”
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A Survey on Deepfake Video Detection by Peipeng Yu, Zhihua Xia, Jianwei Fei, Yujiang Lu

“…To prevent it from threatening human society, a series of research have been launched, including developing detection methods and building large‐scale benchmarks. …”
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Automatic Detection of Motorcycle on the Road using Digital Image Processing by sutikno sutikno, Helmie Arif Wibawa, Ragil Saputra

“…To overcome this problem, several researchers have developed detection system of motorcyclist not wear helmet. …”
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The Potential Role of <i>rpoS</i> and <i>ompR</i> in the Acid Resistance and Desiccation Tolerance of <i>Cronobacter malonaticus</i> Strains by Abdlrhman M. Alsonosi, Khaled M. Ibrahim, Bassam A. Elgamoudi, Mahmoud B. Agena, Stephen J. Forsythe

“…This study underscores the importance of genetic factors in <i>C. malonaticus</i> resilience and the necessity for developed detection methods for assessing food safety risk, especially in relation to powdered infant formulas. …”
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Artificial intelligence correctly classifies developmental stages of monarch caterpillars enabling better conservation through the use of community science photographs by Naresh Neupane, Rhea Goswami, Kyle Harrison, Karen Oberhauser, Leslie Ries, Colin McCormick

“…Our approach and model show promise in developing detection and classification models for developmental stages for insects, a resource that can be used for large-scale mechanistic studies. …”
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Food Fraud in Plant-Based Proteins: Analytical Strategies and Regulatory Perspectives by Jun-Hyeok Ham, Yeon-Jung Lee, Seung-Su Lee, Hae-Yeong Kim

“…Despite these challenges, most efforts toward preventing food fraud and developing detection technologies have largely focused on animal-based products, with limited attention given to plant-based proteins. …”
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Repair of defects in buffer layer of high voltage cable based on additive liquid silicone rubber material by Wenqing Zhou, Qihao Xiao, Yanyang Yin, Xiaodong Liu, Licheng Li, Gang Liu

“…Although progress has been made in understanding the mechanisms behind these defects and in developing detection methods, effective repair solutions remain limited. …”
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Leveraging Cross-Project Similarity for Data Augmentation and Security Bug Report Prediction by Jinfeng Ji, Geunseok Yang

“…This approach can help developers detect security-related issues more effectively, reduce the risk of misclassification, and enhance overall software security.…”
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A review of deep learning models to detect malware in Android applications by Elliot Mbunge, Benhildah Muchemwa, John Batani, Nobuhle Mbuyisa

“…Therefore, training mobile application users and sharing updated malware datasets is paramount in developing detection models. There is also a need to detect malicious software before downloading mobile applications to improve the security of Android smartphones.…”
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Image-based maturity detection for selective cauliflower harvesting in field condition by Ajay Kushwah, P.K. Sharma, H.L. Kushwaha, Brij Bihari Sharma, Naseeb Singh, Ramineni Harsha Nag, Manojit Chowdhury, Nrusingh Charan Pradhan, Gopal Carpenter, Silpa Mandal, Ali Salem

“…The present study used curd diameter as an indication of cauliflower maturity. The developed detection system uses an RGB camera to capture images, which are then further processed to determine the diameter of the cauliflower. …”
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Stratigraphic architectural development and growth history of a Paleocene isolated carbonate platform, north-central Sirte Basin, Libya: Interplay of tectonics and eustasy by Muneer Abdalla, Abdalla Abdelnabi, Ahmad Issa, Meeloud Abdullah, Husamaldeen Zubi, Yousf Abushalah

“…Short-term sea-level changes further influenced internal stratigraphic complexity and sequence development, detectable as cycles of third-order magnitude in the seismic data. …”
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High HBsAg clearance rate and viral dynamics in HBeAg-positive, ALT-normal children and adolescents with chronic HBV infection: results from the prospective sprout project by Xin Wang, Changxiang Lai, Ruiling Li, Jia Lei, Yuyin Xie, Zhiyu Li, Qiyuan Tang, Qing He, Hongfei Zhang, Zheng Zhang, Fang Wang

“…Notably, 61.54% developed detectable HBsAb prior to HBsAg loss. Children aged 3–7 years had significantly higher clearance rates than those aged 8–18 years. …”
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Monitoring Moso bamboo (Phyllostachys pubescens) forests damage caused by Pantana phyllostachysae Chao considering phenological differences between on-year and off-year using UAV h... by Anqi He, Zhanghua Xu, Yifan Li, Bin Li, Xuying Huang, Huafeng Zhang, Xiaoyu Guo, Zenglu Li

“…We analyzed the impact of on-year and off-year phenological characteristics on the accuracy of hazard extraction and developed detection models for P. phyllostachysae hazard levels in on-year and off-year Moso bamboo using Support Vector Machine (SVM), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and one-dimensional Convolutional Neural Network (1D-CNN). …”
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