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Showing 1,021 - 1,040 results of 19,581 for search '(( significantly increased decrease ) OR ( significant ((shape decrease) OR (a decrease)) ))*', query time: 0.82s Refine Results
  1. 1021
    Relationships between hardness and IDDSI levels.

    Relationships between hardness and IDDSI levels. by Muxi Chen (9294270)

    Published 2025
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  2. 1022
    Microhardness of various samples.

    Microhardness of various samples. by Huashen Guan (20454677)

    Published 2024
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  3. 1023
    Shot peening process parameters.

    Shot peening process parameters. by Huashen Guan (20454677)

    Published 2024
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  4. 1024
    Schematic diagram of pin-disk wear.

    Schematic diagram of pin-disk wear. by Huashen Guan (20454677)

    Published 2024
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  5. 1025
    Parameters of the sliding wear test.

    Parameters of the sliding wear test. by Huashen Guan (20454677)

    Published 2024
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  6. 1026
    Finite element model of shot peening.

    Finite element model of shot peening. by Huashen Guan (20454677)

    Published 2024
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  7. 1027
    Wear morphology of the UT sample.

    Wear morphology of the UT sample. by Huashen Guan (20454677)

    Published 2024
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  8. 1028
    Surface roughness of various samples.

    Surface roughness of various samples. by Huashen Guan (20454677)

    Published 2024
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  9. 1029
    Material parameters of the sample and projectile [21].

    Material parameters of the sample and projectile [21]. by Huashen Guan (20454677)

    Published 2024
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  10. 1030
    (A) Beta-diversity non-metric multidimensional scaling (NMDS) analysis at genus level, and (B) LEfSe for bacterial species biomarkers representing control vs. stroke groups.

    (A) Beta-diversity non-metric multidimensional scaling (NMDS) analysis at genus level, and (B) LEfSe for bacterial species biomarkers representing control vs. stroke groups. by Duangnapa Roongpiboonsopit (12829198)

    Published 2025
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  11. 1031
    Relationship between parasitemia, neurochemical and immunological stressors and behavioral and cognitive changes in chronically infected mice. (A) A circle represents a significant correlation, and the intensity of the color indicates the strength of this correlation, which is represented in blue (direct correlation, 0 to +1) or red (inverse correlation, 0 to −1). The “X” indicates the absence of a significant correlation between the variables. (B-C) The three first principal components explain 71.15% of the data variance, and the 2D projection of (B) PC1-PC2 and (C) PC1 and PC3 indicate the association between parasite load (<i>T. cruzi</i>), serum TNF and NO levels, and neurochemical changes in the CNS, and the behavioral and cognitive changes. (D) The 3D projection, with the three first principal components, shows that NI control group and Bz + PTX-treated <i>T. cruzi</i>-infected group show similar behavior and demonstrate the differences between the Veh-treated infected group

    Relationship between parasitemia, neurochemical and immunological stressors and behavioral and cognitive changes in chronically infected mice. (A) A circle represents a significant... by Glaucia Vilar-Pereira (686134)

    Published 2025
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  12. 1032
    Table 1_Prognostic significance of fibrinogen levels in sepsis-associated acute kidney injury: unveiling a nonlinear relationship and clinical implications.docx

    Table 1_Prognostic significance of fibrinogen levels in sepsis-associated acute kidney injury: unveiling a nonlinear relationship and clinical implications.docx by Manqin Chen (20129541)

    Published 2024
    “…Particularly, when their fibrinogen levels were less than 1.6 g/l, a concomitant decrease in 28-day mortality was observed as fibrinogen levels increased.…”
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  13. 1033
    a) ECM components and collagen structure change with tumor progression, which influences cancer cell proliferation and metastasis. b) SHG visual representation of collagen patterns from ten unique patient samples where the upper row is from five C patient samples and the lower row is from five AA patient samples.

    a) ECM components and collagen structure change with tumor progression, which influences cancer cell proliferation and metastasis. b) SHG visual representation of collagen patterns... by Zoë Dinkel (21402766)

    Published 2025
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  14. 1034
    RNA-sequencing data screening for miR-1247-3p target genes.

    RNA-sequencing data screening for miR-1247-3p target genes. by Dequan Wang (6007007)

    Published 2024
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  15. 1035
    RT-qPCR Primer.

    RT-qPCR Primer. by Dequan Wang (6007007)

    Published 2024
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  16. 1036
    miR-1247-3p plasmid.

    miR-1247-3p plasmid. by Dequan Wang (6007007)

    Published 2024
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  17. 1037
    Dual luciferase primer.

    Dual luciferase primer. by Dequan Wang (6007007)

    Published 2024
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  18. 1038
    shCCND1 plasmid.

    shCCND1 plasmid. by Dequan Wang (6007007)

    Published 2024
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  19. 1039
    S1 Raw images -

    S1 Raw images - by Dequan Wang (6007007)

    Published 2024
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  20. 1040
    Introduction to the dataset.

    Introduction to the dataset. by Dequan Wang (6007007)

    Published 2024
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