Prediction of Metastasis in Small Pulmonary Oligonodules Detected in Breast Cancer Patients at Baseline CT by Huei‐Yi Tsai, Min‐Fang Chao, Tzu‐Hsueh Tsai, Shen‐Liang Shih, Fang‐Ming Chen, Ming‐Feng Hou, Ming‐Yii Huang, Jui‐Sheng Hsu

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Ultrasound for the Early Detection and Diagnosis of Necrotizing Enterocolitis: A Scoping Review of Emerging Evidence by Indrani Bhattacharjee, Michael Todd Dolinger, Rachana Singh, Yogen Singh

“…BUS demonstrated superior sensitivity over radiography in detecting early features of NEC, including bowel wall thickening, portal venous gas, and altered peristalsis. …”
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Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data by Jinqun Wu, Jinqun Wu, Yiqin Zheng, Tingting Wang, Chunyong Ma, Chunyong Ma, Ge Chen, Ge Chen

“…In this paper, we employed high-resolution synthetic aperture radar (SAR) satellite imagery and proposed an oriented ice eddy detection network (OIEDNet) framework to conduct automated detection and spatiotemporal analysis of ice eddies in the Nordic Seas. …”
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Detection Algorithm for Air Duct Clamp on Trains Based on RSA-YOLOv10n by WANG Dairong, ZHAO Yuhong, QU Xiaozhang, LIU Yi

“…Through ablation experiments and comparative experiments with other models, including YOLOv3-tiny, YOLOv5n, and YOLOv8n, the analysis and verification showcased the superiority of the proposed detection algorithm in terms of overall accuracy, recall rate and detection time, suggesting its potential for widespread application in the field of detecting air duct clamps on trains. …”
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Detection of Immunochemical Reactions Using Piezoquartz Immunosensor. Regeneration of the Electrode Bio-layer (Review) by S. S. Gogina, E. A. Smirnova, Ya. M. Stanishevskii, A. M. Stoinova

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Technology features of decellularization of human liver fragments as tissue-specific fine-grained matrix for cell-engineering liver construction by E. A. Nemets, L. A. Kirsanova, Ju. B. Basok, M. Ju. Schagidulin, E. A. Volkova, S. T. Metelsky, V. I. Sevastianov

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Bifunctional nanoprobe for simultaneous detection of intracellular reactive oxygen species and temperature in single cells by Yanmei Ma, Weikang Hu, Jian Hu, Muyang Ruan, Jie Hu, Ming Yang, Yi Zhang, Hanhan Xie, Chengzhi Hu

“…By providing detailed analysis of submicrometer-scale temperature and ROS variations within living cells, this nanoprobe offers valuable insights into cellular processes and holds promise for early disease detection and drug development.…”
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Stacked random forest model for colorectal cancer detection using complete blood counts by Junfeng Luo, Weiwei Tan, Shaobo Chen, Yijing Chen, Ya Fu, Xiaojuan Jing, Lingling Kang, Qingyun Li, Zhenjian Ma, Tingji Sun, Peng Xiao, Shigui Xue, Xiaozhi Wang, Houde Zhang

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Explainable AI for lung cancer detection via a custom CNN on CT images by Mohamed Hammad, Mohammed ElAffendi, Ahmed A. Abd El-Latif, Abdelhamied A. Ateya, Gauhar Ali, Pawel Plawiak

“…Early detection is essential for better outcomes, but traditional CT image analysis is time-consuming, prone to error, and relies on subjective judgments. …”
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Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images by Zhen Li, Zhenxin Zhang, Mengmeng Li, Liqiang Zhang, Xueli Peng, Rixing He, Leidong Shi

“…This enables the extraction and fusion of fine-grained level information in dual dimensions of features, facilitating a comprehensive analysis of their differences and correlations. …”
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DetectEV: A functional enzymatic assay to assess integrity and bioactivity of extracellular vesicles by Giorgia Adamo, Sabrina Picciotto, Paola Gargano, Angela Paterna, Samuele Raccosta, Estella Rao, Daniele Paolo Romancino, Giulio Ghersi, Mauro Manno, Monica Salamone, Antonella Bongiovanni

“…Compared to conventional methods that assess physicochemical features of EVs, our single‐step analysis efficiently detects batch‐to‐batch variations by evaluating changes in luminal cargo bioactivity and integrity across various EV samples, including differences under distinct storage conditions and following diverse isolation and exogenous loading methods, all using small sample sizes. …”
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Paraphrase detection for Urdu language text using fine-tune BiLSTM framework by Muhammad Ali Aslam, Khairullah Khan, Wahab Khan, Sajid Ullah Khan, Abdullah Albanyan, Shabbab Ali Algamdi

“…Abstract Automated paraphrase detection is crucial for natural language processing (NL) applications like text summarization, plagiarism detection, and question-answering systems. …”
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Transcriptomics‐Based Liquid Biopsy for Early Detection of Recurrence in Locally Advanced Gastric Cancer by Ping'an Ding, Jiaxiang Wu, Haotian Wu, Tongkun Li, Xiaoman Niu, Peigang Yang, Honghai Guo, Yuan Tian, Jinchen He, Jiaxuan Yang, Renjun Gu, Lilong Zhang, Ning Meng, Xiaolong Li, Zhenjiang Guo, Lingjiao Meng, Qun Zhao

“…Four mRNA biomarkers (AGTR1, DNER, EPHA7, and SUSD5) linked to recurrence are identified through transcriptomic data analysis. A Risk Stratification Assessment (RSA) model combining these biomarkers with clinical features showed superior predictive accuracy for postoperative recurrence, with AUCs of 0.919 and 0.935 in surgical and liquid biopsy validation cohorts, respectively. …”
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Diagnostic accuracy of artificial intelligence for obstructive sleep apnea detection: a systematic review by Sara Haghighat, Muhammed Joghatayi, Julien Issa, Sarina Azimian, Janet Brinz, Ali Ashkan, Akhilanand Chaurasia, Zahra Rahimian, Linda Sangalli

“…Artificial intelligence (AI) algorithms can facilitate diagnosis by detecting patients’ signs and symptoms. In this systematic review, we evaluated the diagnostic accuracy of AI models in detecting sleep apnea. …”
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A Physics-Guided Bayesian Neural Network for Sensor Fault Detection in Wind Turbines by MD Azam Khan, Arifur Rahman, Farhad Uddin Mahmud, Kanchon Kumar Bishnu, Hadiur Rahman Nabil, M. F. Mridha, Md. Jakir Hossen

“…The SHapley Additive exPlanations (SHAP) analysis reveals that gearbox temperature, blade vibration, and generator torque are the most critical features influencing failure predictions. …”
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A progressive knowledge strategy for monitoring soil microbiological activity by microscale spectroscopic detection by Heidy Soledad Rodríguez-Albarracín, José A.M. Demattê, Nícolas Augusto Rosin, Jorge Tadeu Fim Rosas, Aquiles Enrique Darghan, Hudson Wallace Pereira de Carvalho

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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

“…Most current approaches focus on shallow learning methods such as community analysis, ego network or selection of subspace method. …”
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Modern Trends and Recent Applications of Hyperspectral Imaging: A Review by Ming-Fang Cheng, Arvind Mukundan, Riya Karmakar, Muhamed Adil Edavana Valappil, Jumana Jouhar, Hsiang-Chen Wang

“…Future advancements are anticipated to concentrate on the integration of deep learning models for automated feature extraction and decision-making in hyperspectral imaging analysis. …”
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Features of Long Waves in the Area of Cape Svobodny (South-Eastern Part of Sakhalin Island, Russia) During the Passage of Cyclones by Kurkin Andrey, Kovalev Dmitry, Kurkina Oxana, Kovalev Petr

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Features of myocardial deformation in patients with ischemic heart disease with moderate dilatation of cavity of the left ventricle complicated by the myocardial infarction by A. V. Molodan, V. A. Ivashchuk

“…In 67% of the analyzed segments decrease of the deformity (strain) by 6–25% as compared with control was detected. Conclusion. Vector analysis of the longitudinal systolic and diastolic left ventricle deformity in patients with IHD with moderate left ventricle dilatation as compared with control was made. …”
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