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    Monitoring breast cancer progression through circulating methylated GCM2 and TMEM240 detection by Chin-Sheng Hung, Hsieh-Tsung Shen, Pei-Yu Wang, Chih-Ming Su, Wei-Wen Hsu, Kuan-Yu Chien, Cai-Sia Han, Li-Min Liao, Ruo-Kai Lin

    Published 2025-07-01
    “…Conclusions Overall, detecting methylated GCM2 and TMEM240 in plasma offers a novel, accurate, and noninvasive method for monitoring breast cancer progression.…”
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    Article
  3. 103
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    Research Progress on Rapid Detection of Unsound Kernels Based on Visible Light and Advanced Imaging Technology by Hongyi GE, Chunyan GUO, Yuying JIANG, Yuan ZHANG, Zhenyu SUN, Xiaodi JI, Xuyang WU, Bo FENG, Wenhui ZHOU, Heng WANG

    Published 2025-03-01
    “…The paper introduces the visual appearance and internal feature information of grain separately, highlighting the research progress in combining imaging techniques with machine learning methods for unsound kernel detection. …”
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  5. 105

    Self-Supervised Learning-Based General Laboratory Progress Pretrained Model for Cardiovascular Event Detection by Li-Chin Chen, Kuo-Hsuan Hung, Yi-Ju Tseng, Hsin-Yao Wang, Tse-Min Lu, Wei-Chieh Huang, Yu Tsao

    Published 2024-01-01
    “…This study employed self-supervised learning (SSL) to pretrain a generalized laboratory progress (GLP) model that captures the overall progression of six common laboratory markers in prevalent cardiovascular cases, with the intention of transferring this knowledge to aid in the detection of specific cardiovascular event. …”
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    Article
  6. 106

    Research Progress in the Application of Carbon Dot-Based Fluorescent Aptamer Sensors in Food Safety Detection by XIE Xiyang, HUANG Tianran, HUANG Ming

    Published 2024-11-01
    “…In this paper, we review the structure, classification, fluorescence properties of CDs and the advantages of Apt, with a focus on the strategies for constructing fluorescent Apt sensors based on CDs and the current status and recent progress in their application in food safety detection, aiming to provide a reference for research in the fields of food quality supervision and on-site rapid detection technology for food safety.…”
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  7. 107

    Research Progress on Nanotechnology-Driven Enzyme Biosensors for Electrochemical Detection of Biological Pollution and Food Contaminants by Liang Qu, Xue Zhang, Yanhong Chu, Yuyang Zhang, Zhiyuan Lin, Fanzhuo Kong, Xing Ni, Yani Zhao, Qiongya Lu, Bin Zou

    Published 2025-04-01
    “…This article reviews the introduction, principles, and classification of enzyme-based electrode sensors, as well as their research and application progress in the detection of food risk factors (including foodborne pathogens, biotoxins, drug residues, food additives, allergens, etc.). …”
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    Early detection of Alzheimer’s disease progression stages using hybrid of CNN and transformer encoder models by Hassan Almalki, Alaa O. Khadidos, Nawaf Alhebaishi, Ebrahim Mohammed Senan

    Published 2025-05-01
    “…Manual diagnosis is prone to human error, often leading to misdiagnosis or delayed detection. MRI techniques help visualize the fine tissues of the brain cells, indicating the stage of disease progression. …”
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  10. 110

    Research Progress of Machine Learning Algorithms Applied in FSO Communication Systems by LIU Hainan, SHAO Yufeng, WANG Anrong, ZHU Yaodong, YANG Linjie, CHEN Chao, LI Wenchen, HU Wenguang

    Published 2025-04-01
    “…In this article, the research progress of applying typical machine learning algorithms in FSO communication systems in signal detection, channel estimation, auxiliary optical compensation, and other aspects are reviewed. …”
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  11. 111

    The progress of diagnostics of inflammatory diseases of the uveal tract in a Russian region by O. I. Lebedev, A. V. Surov, Ye. V. Akentyeva, N. G. Imennova

    Published 2018-10-01
    “…Purpose. To study the progress of laboratory diagnostic techniques of the uveal tract of the eye in Omsk region. …”
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    Salient object detection dataset with adversarial attacks for genetic programming and neural networksMendeley Data by Matthieu Olague, Gustavo Olague, Roberto Pineda, Gerardo Ibarra-Vazquez

    Published 2024-12-01
    “…However, security concerns about its robustness to malicious and imperceptible perturbations have drawn attention since humans or machines can change the predictions of programs entirely. Salient object detection is a research area where deep convolutional neural networks have proven effective but whose trustworthiness represents a significant issue requiring analysis and solutions to hackers' attacks. …”
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  15. 115

    Error Classification and Static Detection Methods in Tri-Programming Models: MPI, OpenMP, and CUDA by Saeed Musaad Altalhi, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf, Ahmed Mohammed Alghamdi, Khalid Ali Almarhabi, Rana Ahmad Bilal Khalid

    Published 2025-04-01
    “…These applications are typically developed using a combination of programming models within languages such as C, C++, and Fortran. …”
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    Early Perspectives on the Planned Brazilian Program to Address Ship-Sourced Pollution by Daniel Constantino Zacharias, Angelo Teixeira Lemos

    Published 2025-06-01
    “…This paper does NOT represent an official communication of the program, nor its methodologies and developments.…”
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