RTA408 significantly reduces RGCs loss in glaucoma. by Hongmei Qian (538647)

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Preparation of uniaxial compression and Brazilian tension test specimens: (a) core drilling; (b) specimen preparation; (c) completed test specimens. by Hong Zhang (25820)

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Testing equipment and typical specimen failure modes: by Hong Zhang (25820)

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Values of critical shape factor (<i>β</i>′) for different allowable relative deviations (<i>w</i>₂, in %). by Hong Zhang (25820)

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Soft phyllite specimens at different degrees of weathering: (a) strongly weathered; (b) weakly weathered; (c) slightly weathered. by Hong Zhang (25820)

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Schematic of the actual failure cross-sectional area. by Hong Zhang (25820)

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Schematic for measuring <i>D</i> and <i>D</i>′ values. by Hong Zhang (25820)

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Specimen <i>D</i> ranges at different allowable relative deviations (<i>w</i>₂, in %). by Hong Zhang (25820)

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Histogram of the area factorψ. by Hong Zhang (25820)

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Statistical results for <i>I</i>_s, Δ<i>D</i>, and <i>α</i> after outlier removal. by Hong Zhang (25820)

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Point load strength apparatus: (a) before modification; (b) after modification. by Hong Zhang (25820)

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Schematic of calculation for the point load strength. by Hong Zhang (25820)

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Relationship between <i>D</i> on <i>I</i>_s at different weathering levels (R²: 0.82, 0.89, 0.93 for highly, moderately, and slightly). by Hong Zhang (25820)

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Statistical parameters from three calculation methods. by Hong Zhang (25820)

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Histograms of <i>I</i>_s and Δ<i>D.</i> by Hong Zhang (25820)

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Dimensions and test results for compressive and tensile strength specimens. by Hong Zhang (25820)

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Relationship between <i>I</i>_s and <i>β</i> at different weathering levels (R²: 0.88, 0.83, 0.91 for highly, moderately, and slightly). by Hong Zhang (25820)

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Raw dataset Fig. 6. by Hong Zhang (25820)

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Fundus images with glaucoma and glaucoma suspect through CLAHE with reverse polar transformation, GradCAM++ heatmap of ConvNeXt-S model trained on polar with “donut method”, attent... by Sirikorn Sangchocanonta (20917797)

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Fundus images with no glaucoma through CLAHE with reverse polar transformation, GradCAM++ heatmap of ConvNeXt-S model trained on polar with “donut method”, attention map of DeiT-S... by Sirikorn Sangchocanonta (20917797)

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