Showing 13,741 - 13,760 results of 14,224 for search '(( a ((laser decrease) OR (linear decrease)) ) OR ( a ((latent decrease) OR (largest decrease)) ))', query time: 0.52s Refine Results
  1. 13741

    Factors affecting LLINs usage at household level. by Job Oyweri (22041452)

    Published 2025
    “…Not owning a bed decreased the likelihood of net usage by 13.3% [aOR=0.867 (95% CI = 0.816–0.920), p < 0.001]. …”
  2. 13742

    Net usage across intervention arms. by Job Oyweri (22041452)

    Published 2025
    “…Not owning a bed decreased the likelihood of net usage by 13.3% [aOR=0.867 (95% CI = 0.816–0.920), p < 0.001]. …”
  3. 13743

    Factors associated with malaria infection. by Job Oyweri (22041452)

    Published 2025
    “…Not owning a bed decreased the likelihood of net usage by 13.3% [aOR=0.867 (95% CI = 0.816–0.920), p < 0.001]. …”
  4. 13744

    SEAwise report on improved predictive models of recruitment under different environmental scenarios by Paco Melià (162862)

    Published 2024
    “…Hake spawning stock biomass has a positive effect on recruitment up to a certain stock size but recruitment decreases at larger stock sizes. …”
  5. 13745

    Longitudinal microbiome analysis of single donor fecal microbiota transplantation in patients with recurrent <i>Clostridium difficile</i> infection and/or ulcerative colitis by Michael Mintz (4811274)

    Published 2018
    “…<div><p>Background</p><p>Studies of colonoscopic fecal microbiota transplant (FMT) in patients with recurrent CDI, indicate that this is a very effective treatment for preventing further relapses. …”
  6. 13746

    Impact of etonogestrel implant use on T-cell and cytokine profiles in the female genital tract and blood by Lisa B. Haddad (8124953)

    Published 2020
    “…Cytokines and chemokines in the CVL supernatant and blood plasma were measured in a Luminex assay. We estimated and compared study endpoints among the samples collected before and after contraception initiation with repeated-measures analyses using linear mixed models.…”
  7. 13747

    Extensive within-species variation in <i>E</i>. <i>lenta</i> metabolites can be linked to variable gene families. by Cecilia Noecker (3713095)

    Published 2023
    “…Features are colored based on whether their classification as significantly produced or depleted (increased or decreased based on linear regression models of peak area by strain, with FDR-adjusted <i>p</i>-value < 0.1 and log2FC > 0.5) is consistent across 28 other <i>E</i>. …”
  8. 13748

    DataSheet2_Serum Untargeted Metabolomics Reveal Potential Biomarkers of Progression of Diabetic Retinopathy in Asians.PDF by Zongyi Wang (6286553)

    Published 2022
    “…Enrichment pathway analysis showed changes in amino acid metabolism, fatty acid metabolism, pantothenate, and CoA biosynthesis. Aspartate, glutamine, N-acetyl-l-glutamate, N-acetyl-l-aspartate, pantothenate, dihomo-gamma-linolenate, docosahexaenoic acid, and icosapentaenoic acid were key factors for the differences of these pathways.…”
  9. 13749

    DataSheet3_Serum Untargeted Metabolomics Reveal Potential Biomarkers of Progression of Diabetic Retinopathy in Asians.PDF by Zongyi Wang (6286553)

    Published 2022
    “…Enrichment pathway analysis showed changes in amino acid metabolism, fatty acid metabolism, pantothenate, and CoA biosynthesis. Aspartate, glutamine, N-acetyl-l-glutamate, N-acetyl-l-aspartate, pantothenate, dihomo-gamma-linolenate, docosahexaenoic acid, and icosapentaenoic acid were key factors for the differences of these pathways.…”
  10. 13750

    DataSheet14_Serum Untargeted Metabolomics Reveal Potential Biomarkers of Progression of Diabetic Retinopathy in Asians.PDF by Zongyi Wang (6286553)

    Published 2022
    “…Enrichment pathway analysis showed changes in amino acid metabolism, fatty acid metabolism, pantothenate, and CoA biosynthesis. Aspartate, glutamine, N-acetyl-l-glutamate, N-acetyl-l-aspartate, pantothenate, dihomo-gamma-linolenate, docosahexaenoic acid, and icosapentaenoic acid were key factors for the differences of these pathways.…”
  11. 13751

    DataSheet11_Serum Untargeted Metabolomics Reveal Potential Biomarkers of Progression of Diabetic Retinopathy in Asians.PDF by Zongyi Wang (6286553)

    Published 2022
    “…Enrichment pathway analysis showed changes in amino acid metabolism, fatty acid metabolism, pantothenate, and CoA biosynthesis. Aspartate, glutamine, N-acetyl-l-glutamate, N-acetyl-l-aspartate, pantothenate, dihomo-gamma-linolenate, docosahexaenoic acid, and icosapentaenoic acid were key factors for the differences of these pathways.…”
  12. 13752

    DataSheet4_Serum Untargeted Metabolomics Reveal Potential Biomarkers of Progression of Diabetic Retinopathy in Asians.PDF by Zongyi Wang (6286553)

    Published 2022
    “…Enrichment pathway analysis showed changes in amino acid metabolism, fatty acid metabolism, pantothenate, and CoA biosynthesis. Aspartate, glutamine, N-acetyl-l-glutamate, N-acetyl-l-aspartate, pantothenate, dihomo-gamma-linolenate, docosahexaenoic acid, and icosapentaenoic acid were key factors for the differences of these pathways.…”
  13. 13753

    DataSheet9_Serum Untargeted Metabolomics Reveal Potential Biomarkers of Progression of Diabetic Retinopathy in Asians.PDF by Zongyi Wang (6286553)

    Published 2022
    “…Enrichment pathway analysis showed changes in amino acid metabolism, fatty acid metabolism, pantothenate, and CoA biosynthesis. Aspartate, glutamine, N-acetyl-l-glutamate, N-acetyl-l-aspartate, pantothenate, dihomo-gamma-linolenate, docosahexaenoic acid, and icosapentaenoic acid were key factors for the differences of these pathways.…”
  14. 13754

    DataSheet12_Serum Untargeted Metabolomics Reveal Potential Biomarkers of Progression of Diabetic Retinopathy in Asians.PDF by Zongyi Wang (6286553)

    Published 2022
    “…Enrichment pathway analysis showed changes in amino acid metabolism, fatty acid metabolism, pantothenate, and CoA biosynthesis. Aspartate, glutamine, N-acetyl-l-glutamate, N-acetyl-l-aspartate, pantothenate, dihomo-gamma-linolenate, docosahexaenoic acid, and icosapentaenoic acid were key factors for the differences of these pathways.…”
  15. 13755

    Image4_Serum Untargeted Metabolomics Reveal Potential Biomarkers of Progression of Diabetic Retinopathy in Asians.JPEG by Zongyi Wang (6286553)

    Published 2022
    “…Enrichment pathway analysis showed changes in amino acid metabolism, fatty acid metabolism, pantothenate, and CoA biosynthesis. Aspartate, glutamine, N-acetyl-l-glutamate, N-acetyl-l-aspartate, pantothenate, dihomo-gamma-linolenate, docosahexaenoic acid, and icosapentaenoic acid were key factors for the differences of these pathways.…”
  16. 13756

    DataSheet13_Serum Untargeted Metabolomics Reveal Potential Biomarkers of Progression of Diabetic Retinopathy in Asians.PDF by Zongyi Wang (6286553)

    Published 2022
    “…Enrichment pathway analysis showed changes in amino acid metabolism, fatty acid metabolism, pantothenate, and CoA biosynthesis. Aspartate, glutamine, N-acetyl-l-glutamate, N-acetyl-l-aspartate, pantothenate, dihomo-gamma-linolenate, docosahexaenoic acid, and icosapentaenoic acid were key factors for the differences of these pathways.…”
  17. 13757

    DataSheet7_Serum Untargeted Metabolomics Reveal Potential Biomarkers of Progression of Diabetic Retinopathy in Asians.PDF by Zongyi Wang (6286553)

    Published 2022
    “…Enrichment pathway analysis showed changes in amino acid metabolism, fatty acid metabolism, pantothenate, and CoA biosynthesis. Aspartate, glutamine, N-acetyl-l-glutamate, N-acetyl-l-aspartate, pantothenate, dihomo-gamma-linolenate, docosahexaenoic acid, and icosapentaenoic acid were key factors for the differences of these pathways.…”
  18. 13758

    Image3_Serum Untargeted Metabolomics Reveal Potential Biomarkers of Progression of Diabetic Retinopathy in Asians.JPEG by Zongyi Wang (6286553)

    Published 2022
    “…Enrichment pathway analysis showed changes in amino acid metabolism, fatty acid metabolism, pantothenate, and CoA biosynthesis. Aspartate, glutamine, N-acetyl-l-glutamate, N-acetyl-l-aspartate, pantothenate, dihomo-gamma-linolenate, docosahexaenoic acid, and icosapentaenoic acid were key factors for the differences of these pathways.…”
  19. 13759

    DataSheet5_Serum Untargeted Metabolomics Reveal Potential Biomarkers of Progression of Diabetic Retinopathy in Asians.PDF by Zongyi Wang (6286553)

    Published 2022
    “…Enrichment pathway analysis showed changes in amino acid metabolism, fatty acid metabolism, pantothenate, and CoA biosynthesis. Aspartate, glutamine, N-acetyl-l-glutamate, N-acetyl-l-aspartate, pantothenate, dihomo-gamma-linolenate, docosahexaenoic acid, and icosapentaenoic acid were key factors for the differences of these pathways.…”
  20. 13760

    DataSheet10_Serum Untargeted Metabolomics Reveal Potential Biomarkers of Progression of Diabetic Retinopathy in Asians.PDF by Zongyi Wang (6286553)

    Published 2022
    “…Enrichment pathway analysis showed changes in amino acid metabolism, fatty acid metabolism, pantothenate, and CoA biosynthesis. Aspartate, glutamine, N-acetyl-l-glutamate, N-acetyl-l-aspartate, pantothenate, dihomo-gamma-linolenate, docosahexaenoic acid, and icosapentaenoic acid were key factors for the differences of these pathways.…”