Showing 101,401 - 101,420 results of 104,429 for search '(( 5 ((((nm decrease) OR (a decrease))) OR (mean decrease)) ) OR ( 2 wt decrease ))', query time: 2.09s Refine Results
  1. 101401

    Data_Sheet_2_Multi-Granularity Whole-Brain Segmentation Based Functional Network Analysis Using Resting-State fMRI.XLS by Yujing Gong (6075278)

    Published 2018
    “…A number of functional networks were created with their nodes defined according to two types of anatomical definitions (Type I and Type II) each of which consists of five granularity levels of whole brain segmentations with each level linked through ontology-based, hierarchical, structural relationships. …”
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  4. 101404

    DataSheet_1_PvML1 suppresses bacterial infection by recognizing LPS and regulating AMP expression in shrimp.docx by Yue Wang (65477)

    Published 2022
    “…The knockdown of PvML1 remarkably suppressed the clearance of bacteria in hemolymph and decreased the survival rate of infected shrimp. Meanwhile, the silencing of PvML1 severely impaired the expression of a few antimicrobial peptides (AMPs). …”
  5. 101405

    Image_1_Quercetin Antagonizes Glucose Fluctuation Induced Renal Injury by Inhibiting Aerobic Glycolysis via HIF-1α/miR-210/ISCU/FeS Pathway.jpg by Wei-long Xu (10227365)

    Published 2021
    “…Mitochondrial energy metabolism, especially aerobic glycolysis, has been a hotspot of DN research for decades. The activation of HIF-1α/miR210/ISCU/FeS axis has provided a new explanation for aerobic glycolysis. …”
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  10. 101410

    Image_3_Time-related survival prediction in molecular subtypes of breast cancer using time-to-event deep-learning-based models.jpeg by Saba Zarean Shahraki (16021916)

    Published 2023
    “…Additionally, the luminal B subtype followed a similar trend as luminal A for the first five years, after which the predicted survival probability decreased steadily in 10- and 15-year intervals.…”
  11. 101411

    Image_1_Time-related survival prediction in molecular subtypes of breast cancer using time-to-event deep-learning-based models.jpeg by Saba Zarean Shahraki (16021916)

    Published 2023
    “…Additionally, the luminal B subtype followed a similar trend as luminal A for the first five years, after which the predicted survival probability decreased steadily in 10- and 15-year intervals.…”
  12. 101412

    Image_2_Time-related survival prediction in molecular subtypes of breast cancer using time-to-event deep-learning-based models.jpeg by Saba Zarean Shahraki (16021916)

    Published 2023
    “…Additionally, the luminal B subtype followed a similar trend as luminal A for the first five years, after which the predicted survival probability decreased steadily in 10- and 15-year intervals.…”
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  15. 101415

    Data_Sheet_1_Fusobacterium nucleatum Affects Cell Apoptosis by Regulating Intestinal Flora and Metabolites to Promote the Development of Colorectal Cancer.zip by Tingting Yu (419018)

    Published 2022
    “…The experiments involved <sup>1</sup>H-NMR-based metabolomics analysis, targeted and untargeted mass spectrometry analysis, and intestinal flora 16S rDNA V4 region sequencing.</p>Results<p>The abundance of Bacteroides and propionic acid concentration were decreased and that of Lactobacillus and lactic acid concentration were increased in CRC tissues. …”
  16. 101416

    Image_1_Fusobacterium nucleatum Affects Cell Apoptosis by Regulating Intestinal Flora and Metabolites to Promote the Development of Colorectal Cancer.TIF by Tingting Yu (419018)

    Published 2022
    “…The experiments involved <sup>1</sup>H-NMR-based metabolomics analysis, targeted and untargeted mass spectrometry analysis, and intestinal flora 16S rDNA V4 region sequencing.</p>Results<p>The abundance of Bacteroides and propionic acid concentration were decreased and that of Lactobacillus and lactic acid concentration were increased in CRC tissues. …”
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  19. 101419

    Image_2_Fusobacterium nucleatum Affects Cell Apoptosis by Regulating Intestinal Flora and Metabolites to Promote the Development of Colorectal Cancer.jpeg by Tingting Yu (419018)

    Published 2022
    “…The experiments involved <sup>1</sup>H-NMR-based metabolomics analysis, targeted and untargeted mass spectrometry analysis, and intestinal flora 16S rDNA V4 region sequencing.</p>Results<p>The abundance of Bacteroides and propionic acid concentration were decreased and that of Lactobacillus and lactic acid concentration were increased in CRC tissues. …”
  20. 101420