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    Abnormal breathing pattern features in chronic refractory cough by Jordan Jeffery, Anne E. Vertigan, Sarah Bone, Peter G. Gibson

    Published 2024-11-01
    “…The aims of this study were to 1) describe breathing patterns in patients with CRC, 2) compare breathing pattern features between patients with CRC and inducible laryngeal obstruction (ILO), and 3) estimate the effect of breathing pattern features on clinical measures of laryngeal sensory and motor dysfunction. …”
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    Acral Nevi: Dermatoscopic Features and Key Points by Shulaia Teona, Kiladze Natalia, Bulinska Agata, Abrahamovych Ljubomyr

    Published 2017-09-01
    “…To investigate the dermoscopic features of 306 acral melanocytic nevi, to determine the most common patterns and to trace their connection with development of acral lentiginous melanoma. …”
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    Unique pathological features and drug resistance patterns in cutaneous tuberculosis by Yuejiao Liu, Runrui Wu, Junjun Liu, Jinlong Dai, Dongxu Liu, Yadong Liu, Yumei Liang, Wen Chen

    Published 2025-05-01
    “…Overall, our study highlights unique pathological features and drug resistance profiles in CTB, providing valuable insights for more accurate clinical diagnosis and tailored therapeutic strategies.…”
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    Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

    Published 2024-09-01
    Subjects: “…Image Processing, Texture Analysis, Local Binary Patterns, Histogram of Oriented Gradients, Feature Extraction.…”
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    Patterns and Variation in the Weather Forecast: Can Prosodic Features be Predicted Too? by Susan Moore Mauroux

    Published 2016-07-01
    “…The weather forecast is considered as a specific oral discourse type which functions within a fairly set framework involving a number of recurrent features, including a well-defined lexical field and recognizable prosodic patterns. …”
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    MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern by Q. He, Y. J. Zheng, C.L. Zhang, H. Y. Wang

    Published 2020-01-01
    “…In the prediction part, multiscale convolution and graph attention network are mainly used to capture information in temporal pattern with feature pattern. The threshold selection part uses the root mean square error between the predicted value and the actual value to perform extreme value analysis to obtain the threshold. …”
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    A case series of dermatopathological features in different types of morphea and their clinical correlates by Hari Pathave, Sheetal Poojary

    Published 2025-01-01
    “…The dermatopathological features in morphea (localized scleroderma) and their clinicopathologic correlations are not well described in the literature. …”
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