Showing 98,961 - 98,980 results of 102,254 for search '(( 12 wt decrease ) OR ( 5 ((((teer decrease) OR (mean decrease))) OR (a decrease)) ))', query time: 1.51s Refine Results
  1. 98961
  2. 98962

    Data_Sheet_1_Alterations and Correlations of Gut Microbiota and Fecal Metabolome Characteristics in Experimental Periodontitis Rats.docx by Lan Wu (326399)

    Published 2022
    “…The correlation analysis of microbiota and metabolome provides a deeper understanding of periodontitis, and also provides a direction for the study of periodontitis affecting other diseases.…”
  3. 98963

    Table_2_Identification of endothelial-related molecular subtypes for bladder cancer patients.docx by Deng-xiong Li (14819464)

    Published 2023
    “…Cluster analysis, prognostic value analysis, function analysis, immune checkpoints, tumor immune environment and immune prediction were conducted.</p>Results<p>Five endothelial-related genes (CYTL1, FAM43A, HSPG2, RBP7, and TCF4) divided BC patients in the TCGA, GSE13507, and GSE32894 datasets into two clusters, respectively. …”
  4. 98964

    Data Sheet 1_Non-targeted metabolomics-mediated elucidation of metabolite changes in Polygonatum kingianum during traditional steaming with black beans.zip by Haiyan Zhu (110483)

    Published 2025
    “…Notably, we observed the production and significant accumulation of daidzein and daidzin (two primary active compounds derived from black beans) as well as triterpenoid saponins (including Sandosaponin A, Soyasaponin II-III, V, and Pisumsaponin I-II) in steamed PK (p < 0.05). …”
  5. 98965
  6. 98966
  7. 98967

    Table_1_Identification of endothelial-related molecular subtypes for bladder cancer patients.xlsx by Deng-xiong Li (14819464)

    Published 2023
    “…Cluster analysis, prognostic value analysis, function analysis, immune checkpoints, tumor immune environment and immune prediction were conducted.</p>Results<p>Five endothelial-related genes (CYTL1, FAM43A, HSPG2, RBP7, and TCF4) divided BC patients in the TCGA, GSE13507, and GSE32894 datasets into two clusters, respectively. …”
  8. 98968
  9. 98969
  10. 98970
  11. 98971

    Image_2_Functional Network Changes After High-Frequency rTMS Over the Most Activated Speech-Related Area Combined With Speech Therapy in Chronic Stroke With Non-fluent Aphasia.TIFF by Won Kee Chang (12068138)

    Published 2022
    “…Clustering coefficients of the left hemisphere were increased over a sparsity range between 0.45 and 0.58 (0.015 < p < 0.031), whereas the clustering coefficients of the right hemisphere, decreased over a sparsity range 0.15–0.87 (0.063 < p < 0.095). …”
  12. 98972

    Table_3_Identification of endothelial-related molecular subtypes for bladder cancer patients.docx by Deng-xiong Li (14819464)

    Published 2023
    “…Cluster analysis, prognostic value analysis, function analysis, immune checkpoints, tumor immune environment and immune prediction were conducted.</p>Results<p>Five endothelial-related genes (CYTL1, FAM43A, HSPG2, RBP7, and TCF4) divided BC patients in the TCGA, GSE13507, and GSE32894 datasets into two clusters, respectively. …”
  13. 98973
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  16. 98976
  17. 98977
  18. 98978
  19. 98979

    Table_1_In vitro selection of drought-tolerant white poplar clones based on antioxidant activities and osmoprotectant content.xlsx by Vanja Vuksanović (17401420)

    Published 2023
    “…</p>Results and Discussion<p>The values of morphological and photosynthetic pigments declined with an increase in the concentration of PEG 6000. At a concentration of 50 g/L, the content of shoot fresh mass decreased by 41%, the content of Chl a by 68%, Chl b by 65%, and Car by 76% compared to the control. …”
  20. 98980

    Table_1_Deciphering Gut Microbiota Dysbiosis and Corresponding Genetic and Metabolic Dysregulation in Psoriasis Patients Using Metagenomics Sequencing.xlsx by Shiju Xiao (10508018)

    Published 2021
    “…</p>Results<p>Compared with healthy individuals, the gut microbiota of psoriasis patients displayed an alteration in microbial taxa distribution, but no significant difference in microbial diversity. A distinct gut microbial composition in patients with psoriasis was observed, with an increased abundance of the phyla Firmicutes, Actinobacteria and Verrucomicrobia and genera Faecalibacterium, Bacteroides, Bifidobacterium, Megamonas and Roseburia and a decreased abundance of the phyla Bacteroidetes, Euryarchaeota and Proteobacteria and genera Prevotella, Alistipes, and Eubacterium. …”