Increase your adenoma detection rate without using fancy adjunct tools by Yu-Hsi Hsieh, Felix W Leung

“…The correlation between a low adenoma detection rate (ADR) and interval cancers (ICs) has made ADR one of the most important quality indicators for colonoscopy. …”
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A Novel Approach to Detect Malware Based on API Call Sequence Analysis by Youngjoon Ki, Eunjin Kim, Huy Kang Kim

“…In the era of ubiquitous sensors and smart devices, detecting malware is becoming an endless battle between ever-evolving malware and antivirus programs that need to process ever-increasing security related data. …”
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New possibilities for the treatment of mild cognitive impairment and prevention of dementia in patients with cerebrovascular disease. Results of the PRIORITET Observation Program by E. Y. Solovieva, P. R. Kamchatnov, L. B. Novikova, O. A. Kicherova, N. M. Khasanova

“…A common tool for detecting mild cognitive impairment (MCI) is the Montreal Cognitive Assessment (MoCA). …”
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Biochemical and echocardiographic markers for the early detection of cardiotoxicity under monoclonal antibodies therapy by Ionela-Emilia Popovici, Angela Cozma, Olga Hilda Orasan, George Ciulei, Ana Maria Poenar, Cristina Buchman, Simina Tarmure, Sorina Secara, Adela Sitar-Taut, Teodora Alexescu, Andrada Lazar, Vasile Negrean, Lucia Maria Procopciuc

“…The progress made over the past years in the field of cancer therapy has led to a significant decrease in cancer mortality, but these therapies have many adverse effects, cardiovascular effects being among the most frequent ones. …”
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Rail squat detection using hybrid processing of axle box acceleration measurements by Reza Naseri, Brennan L. Gedney, Hossein Asgari, Dimitrios C. Rizos

“…Rail squat is the most common type of Rail Surface Spot Irregularity (RSSI) that comes into direct contact with the wheel surface and is distinguished for its relatively short length. As these defects progress within the rail, they compromise operational safety and accelerate wear on train and track components. …”
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Mechanisms for Securing Autonomous Shipping Services and Machine Learning Algorithms for Misbehaviour Detection by Marwan Haruna, Kaleb Gebremichael Gebremeskel, Martina Troscia, Alexandr Tardo, Paolo Pagano

“…Technological developments within the maritime sector are resulting in rapid progress that will see the commercial use of autonomous vessels, known as Maritime Autonomous Surface Ships (MASSs). …”
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Single-Molecule Detection of Optical Signals Using DNA-Based Plasmonic Nanostructures by Renjie Niu, Jintian Shao, Mingnan Wu, Chang Liu, Jie Chao

“…Single-molecule optical signal detection provides high sensitivity and specificity for the detection of biomolecules and chemical substances, which is of significant importance in fields such as biomedicine, environmental monitoring, and materials science. …”
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Toward In Vivo Cancer Detection: X-Ray Scattering on Thick Phantom Samples by Viacheslav Kubytskyi, Masroor Khonkhodzhaev, Aika Tanaka, Audrey Nguyen, Alexander Lazarev, Byron Aram, Keith Rogers, Lev Mourokh, Pavel Lazarev

“…However, these measurements were performed on small ex vivo samples, and to ensure the progress to in vivo diagnostics, the approach should be extended to larger tissues. …”
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Transportation Mode Detection Using Learning Methods and Self-Contained Sensors: Review by Ilhem Gharbi, Fadoua Taia-Alaoui, Hassen Fourati, Nicolas Vuillerme, Zebo Zhou

“…Reviewing the latest progress on TMD systems is important to inform readers about recent datasets used in detection, best practices for classification issues and the remaining challenges that still impact the detection performances. …”
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Recent Advances in Aggregation-Induced Emission (AIE) Fluorescent Sensors for Biomolecule Detection by Kavya S. Keremane, M. Gururaj Acharya, Praveen Naik, Chandi C. Malakar, Kai Wang, Bed Poudel

“…Notably, AIE-based fluorescent probes are emerging as attractive alternatives to traditional analytical methods owing to their low cost, fast detection, and high selectivity. Over the past two decades, considerable progress has been made in the rational design and development of AIE-active small-molecule fluorescent probes for detecting a wide variety of analytes, such as biologically relevant molecules, drug compounds, volatile organic compounds (VOCs), explosives, and contaminants associated with forensic and food safety analysis. …”
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Electricity theft detection in integrated energy systems considering multi-energy loads by Wenlong Liao, Dechang Yang, Leijiao Ge, Yixiong Jia, Zhe Yang

“…The significant progress has been made in electricity theft detection, but most classic works focus on electricity theft detection in residential environments, neglecting other locations such as hotels, industrial plants, and street lights. …”
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A comprehensive review on optical and electrochemical aptasensor for detection of fumonisin B1 by Jiayu Ma, Xiaodong Guo, Xiaodong Guo

“…Nucleic acid aptamers, generated via Systematic Evolution of Ligands by Exponential Enrichment (SELEX), have garnered significant attention as next-generation bioreceptors, demonstrating remarkable progress in food safety applications. Leveraging their high specificity and strong affinity for target molecules, aptamers have been successfully employed as alternatives to conventional methods for FB1 detection, leading to the development of diverse aptasensor platforms. …”
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An IoT Framework for the Detection of Lung Cancer Using a Decision Support System by Ahamd Habboush, Bassam Elzaghmouri, Binod Kumar Pattanayak, Pravat Kumar Rautaray

“… Cancer remains an ongoing global health challenge, necessitating the progress of innovative techniques for early detection and risk assessment. …”
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SGANet: A Siamese Geometry-Aware Network for Remote Sensing Change Detection by Jiangwei Chen, Sijun Dong, Xiaoliang Meng

“…The significant progress in the fields of deep learning and computer vision has propelled the development of remote sensing change detection. …”
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A Comparative Analysis of Mobile versus Stationary Mammography Units: Performance and Outcomes in a Breast Cancer Screening Program by Tari DU, De Lucia DR, Santonastaso R, Santarsiere M, Blasotti A

“…The comparable screen-detected BC rates between MMUs and fixed units underscore the potential of combining both approaches in breast cancer screening programs. …”
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Detectability of runs of homozygosity is influenced by analysis parameters and population-specific demographic history. by Gabriel A A Silva, Avril M Harder, Kenneth B Kirksey, Samarth Mathur, Janna R Willoughby

“…Here, we analyze simulated and empirical datasets to demonstrate the downstream effects of program selection and long-term demographic history on ROH inference, leading to context-dependent biases in the results. …”
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A Comprehensive Approach to Rustc Optimization Vulnerability Detection in Industrial Control Systems by Kaifeng Xie, Jinjing Wan, Lifeng Chen, Yi Wang

“…The implemented system, RustOptFuzz, has been evaluated on both custom datasets and real-world programs. Compared with state-of-the-art tools, RustOptFuzz improves vulnerability discovery capabilities by 16%–50% and significantly reduces vulnerability reproduction time, thereby enhancing the overall efficiency of detecting optimization-related vulnerabilities in Rustc, providing key technical support for the reliability of industrial control systems.…”
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Unleashing the potential of high-throughput sequencing for plant virus and viroid detection in Mexico by Carolina Pacheco-Dorantes, Juan Manuel Tovar-Pedraza, Daniel Leobardo Ochoa-Martínez, Ramiro González-Garza, Alfredo Diaz-Lara

“…High-throughput sequencing (HTS) has revolutionized plant virology in Mexico by enhancing the detection and characterization of plant viruses and viroids. …”
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Artificial intelligence-based multi-expression programming prediction of magnetized radiative nanofluid flow between coaxial deformable tubes by Bilal Ahmed, Dong Liu, Bouthaina Dammak, Naeem Ullah, Afraz Hussain Majeed, Hafedh Mahmoud Zayani, Binjuan Zhao

“…Endoscopy is used to detect the inner diseases of body that are complex to detect from the ordinary visualization and outer tube shows the blood flow arteries. …”
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Intelligent Detection and Control of Crop Pests and Diseases: Current Status and Future Prospects by Jiaxing Xie, Meiyi Lu, Qunpeng Gao, Liye Chen, Yingxin Zou, Jiatao Wu, Yue Cao, Niechong Xu, Weixing Wang, Jun Li

“…This paper reviews the research progress in the application of machine learning, deep learning, and large language models in crop pest and disease detection and control, analyzes the challenges in current technological implementations, and explores future development directions.…”
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