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  1. 1961

    Chronic Kidney Disease Prediction Based On Machine Learning Algorithms by Kethineni Likitha., Nithinchandra, Kumar Narendra, Sk Sajida Sultana.

    Published 2025-01-01
    “…Chronic kidney disease is a progressively bad disease. In most cases, there are serious complications with the kidneys if early identified. …”
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    Article
  2. 1962
  3. 1963

    Room Temperature InGaAs/AlGaAsSb Single Photon Avalanche Diode by J. Taylor-Mew, L. Li, T. Blain, C. H. Tan, J. S. Ng

    Published 2025-01-01
    “…The results of this work are much more competitive than the previous report of InGaAs/AlGaAsSb SPAD, which required cooling to 200 K to detect single photons. Further research could help InGaAs/AlGaAsSb SPADs progressing towards passively-cooled single photon detectors for room temperature operation.…”
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    Article
  4. 1964

    Development of a rapid point-of-care dengue virus type 2 infection diagnostic assay using recombinase polymerase amplification and lateral flow device by Meagan A. Prescott, Meagan A. Prescott, Myra T. Koesdjojo, David T. Mandrell, Manoj K. Pastey

    Published 2025-05-01
    “…IntroductionDengue virus (DENV) is the most rapidly spreading arbovirus globally, with over half of the world’s population at risk of infection. Early and rapid detection is crucial to ensure timely patient care, reduce healthcare burden, and prevent severe disease progression. …”
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    Article
  5. 1965

    UAV-StrawFire: A visible and infrared dataset for real-time straw-fire monitoring with deep learning and image fusion by Xikun Hu, Ya Jiang, Xiaoyan Xia, Chen Chen, Wenlin Liu, Pengcheng Wan, Kangcheng Bin, Ping Zhong

    Published 2025-07-01
    “…The dataset is annotated and labeled to support the application of detection, segmentation, and tracking algorithms. This study addresses three key machine learning tasks using the dataset: (1) flame detection, achieved through a feature-based multi-modal image fusion model (FF-YOLOv5n) reaching a mAP50-95 of 0.5764; (2) flame segmentation, which delineates fire boundaries using the real-time lightweight BiSeNetV2 model, achieving a high mean Intersection over Union (mIoU) score exceeding 0.88; and (3) flame tracking, which monitors the real-time progression of straw burning with a precision of 0.9065 and a success rate of 0.6593 using the Aba-ViTrack algorithm, suitable for on-board processing on UAVs at 50 frames per second (FPS). …”
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  6. 1966
  7. 1967
  8. 1968

    Prevalence of hitherto unknown brain meningioma detected on 68Ga-DOTATATE positron-emission tomography/computed tomography in patients with metastatic neuroendocrine tumor and expl... by Rahul V. Parghane, Sanjay Talole, Sandip Basu

    Published 2019-04-01
    “…The secondary aims of this study were to evaluate the response rate of these incidentally detected meningiomas following PRRT and determine progression-free survival (PFS) in this group of patients. …”
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    Article
  9. 1969

    Prevalence of hitherto unknown brain meningioma detected on 68Ga-DOTATATE positron-emission tomography/computed tomography in patients with metastatic neuroendocrine tumor and expl... by Rahul V Parghane, Sanjay Talole, Sandip Basu

    Published 2019-01-01
    “…The secondary aims of this study were to evaluate the response rate of these incidentally detected meningiomas following PRRT and determine progression-free survival (PFS) in this group of patients. …”
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    Article
  10. 1970

    A rare case of sero-negative anti-glomerular basement membrane disease combined with diabetic nephropathy and literature review by Wenbo Wang, Weiyi Guo, Xiaoyi Xu, Nan Ye, Lingqiang Kong, Guoqin Wang, Hong Cheng

    Published 2025-12-01
    “…The initial renal biopsy diagnosed diabetic nephropathy. As the disease progressed, the clinical manifestations evolved into rapidly progressive glomerulonephritis, and a second kidney biopsy ultimately diagnosed anti-glomerular basement membrane disease in conjunction with diabetic nephropathy. …”
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    Article
  11. 1971
  12. 1972

    DualGCN-GE: integration of spatiotemporal representations from whole-blood expression data with dual-view graph convolution network to identify Parkinson’s disease subtypes by Wei Zhang, Zeqi Xu, Ruochen Yu, Mingfeng Jiang, Qi Dai

    Published 2025-08-01
    “…Abstract Background As a typical type of neurodegenerative disorders, Parkinson’s disease(PD) is characterized by significant clinical and progression heterogeneity. Based on gene expression data, reliable detection of PACE subtypes in Parkinson’s disease(PD-PACE) has played a crucial role in addressing the heterogeneity of this disease. …”
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    Article
  13. 1973
  14. 1974

    Multiscale Attention Feature Fusion Based on Improved Transformer for Hyperspectral Image and LiDAR Data Classification by Aili Wang, Guilong Lei, Shiyu Dai, Haibin Wu, Yuji Iwahori

    Published 2025-01-01
    “…This structure combines the advantages of the Swin transformer, featuring a nonlocal receptive field fusion by progressively expanding the window's receptive field layer by layer while preserving the spatial features of the image. …”
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    Article
  15. 1975
  16. 1976
  17. 1977
  18. 1978
  19. 1979
  20. 1980