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Showing 1,921 - 1,940 results of 36,050 for search '(( significant ((level decrease) OR (levels increased)) ) OR ( significant decrease decrease ))', query time: 0.64s Refine Results
  1. 1921
    Association of <i>Shigella</i> infections with EE biomarker concentration over time.

    Association of <i>Shigella</i> infections with EE biomarker concentration over time. by Haley A. Liakakos (21445884)

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  2. 1922
    Associations between <i>Shigella</i> infections and EE biomarker concentrations from time of index subclinical <i>Shigella</i> detection through 6-months post-detection, stratified by antibiotic use within the 15 days before or after <i>Shigella</i> infection.

    Associations between <i>Shigella</i> infections and EE biomarker concentrations from time of index subclinical <i>Shigella</i> detection through 6-months post-detection, stratified... by Haley A. Liakakos (21445884)

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  3. 1923
    Characteristics of non-diarrheal stool samples from 1715 children in MAL-ED study.

    Characteristics of non-diarrheal stool samples from 1715 children in MAL-ED study. by Haley A. Liakakos (21445884)

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  4. 1924
    <i>Gpdh1; Ldh</i> double mutants display increased <i>upd3</i> expression.

    <i>Gpdh1; Ldh</i> double mutants display increased <i>upd3</i> expression. by Madhulika Rai (4352803)

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  5. 1925
    Metric correlation matrix.

    Metric correlation matrix. by Chao Song (379006)

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  6. 1926
    Comparative analysis of hospital information recognition metrics between intervention and control groups across six hospitals.

    Comparative analysis of hospital information recognition metrics between intervention and control groups across six hospitals. by Chao Song (379006)

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  7. 1927
    Representative liver histology of normal control (A), low-dose Olanzapine (B), negative control (C), test (D), and positive control (E) groups (Hematoxylin and Eosin stain, ×400 magnification, scale bar = 100 µm). Occasional clear vacuoles are present in all groups, with a marked increase in the negative control group. Quantitative analysis using ImageJ (% steatotic area) more accurately reflects differences in hepatic fat accumulation as demonstrated in Fig 10D.

    Representative liver histology of normal control (A), low-dose Olanzapine (B), negative control (C), test (D), and positive control (E) groups (Hematoxylin and Eosin stain, ×400 ma... by Elsie D. Oduor (22521785)

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  8. 1928
    KEGG analysis of the significant transcriptome.

    KEGG analysis of the significant transcriptome. by Long Yin Lam (11172024)

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  9. 1929
    GO analysis of the significant transcriptome.

    GO analysis of the significant transcriptome. by Long Yin Lam (11172024)

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  10. 1930
    269 miRNAs of the 8 DSERGs.

    269 miRNAs of the 8 DSERGs. by Wei He (131453)

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  11. 1931
    Comprehensive list of all SRGs.

    Comprehensive list of all SRGs. by Wei He (131453)

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  12. 1932
    A total of 700 DEGs.

    A total of 700 DEGs. by Wei He (131453)

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  13. 1933
    Irradiation effect on <i>D. melanogaster</i> male courtship time in “no-choice” condition. GLM model values are shown. Values in boldface indicate significant differences. <i>D. suz</i> = <i>Drosophila suzukii</i>; <i>D. mel</i> = <i>Drosophila melanogaster.</i>

    Irradiation effect on <i>D. melanogaster</i> male courtship time in “no-choice” condition. GLM model values are shown. Values in boldface indicate significant differences. <i>D. su... by Flavia Cerasti (21655934)

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  14. 1934
    Irradiation effect on <i>D. melanogaster</i> male courtship time in “choice” condition. GLM model values are shown. Values in boldface indicate significant differences. <i>D. suz</i> = <i>Drosophila suzukii</i>; <i>D. mel</i> = <i>Drosophila melanogaster.</i>

    Irradiation effect on <i>D. melanogaster</i> male courtship time in “choice” condition. GLM model values are shown. Values in boldface indicate significant differences. <i>D. suz</... by Flavia Cerasti (21655934)

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  15. 1935
    <i>Boro</i> rice yield (2002–2021) estimation utilizing MODIS data and a trained random forest model with 30 input variables having high importance.

    <i>Boro</i> rice yield (2002–2021) estimation utilizing MODIS data and a trained random forest model with 30 input variables having high importance. by Varun Tiwari (9258130)

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  16. 1936
    Accuracy of the random forest regression model with various input variables (all inputs vs. top 30 inputs).

    Accuracy of the random forest regression model with various input variables (all inputs vs. top 30 inputs). by Varun Tiwari (9258130)

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  17. 1937
    Mean uncertainty of <i>boro</i> rice yields estimated by random forest model from 2002–2021.

    Mean uncertainty of <i>boro</i> rice yields estimated by random forest model from 2002–2021. by Varun Tiwari (9258130)

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  18. 1938
    Random forest top 30 variable importance utilizing all input variables, including the MODIS bands, spectral indices, and land surface temperature.

    Random forest top 30 variable importance utilizing all input variables, including the MODIS bands, spectral indices, and land surface temperature. by Varun Tiwari (9258130)

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  19. 1939
    Fig 1 -

    Fig 1 - by Varun Tiwari (9258130)

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  20. 1940
    Fig 2 -

    Fig 2 - by Varun Tiwari (9258130)

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