Showing 65,841 - 65,860 results of 116,331 for search '(( a non decrease ) OR ( 5 ((((point decrease) OR (mean decrease))) OR (a decrease)) ))', query time: 1.84s Refine Results
  1. 65841

    Depletion of Treg unmasks anti-tumor CD4<sup>+</sup> T cell responses in CRC patients but not healthy controls. by Sarah L. Clarke (67642)

    Published 2013
    “…In each case, the percentage on the left is the frequency of responders that increased after Treg depletion (Increase), the percentage in the middle is the frequency of non-responders that had a response after depletion (New Response) and on the right the frequency of responders that showed a decrease or no change in response after Treg depletion (Decrease/NC). …”
  2. 65842

    Image_3_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.TIF by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  3. 65843

    Table_3_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.DOCX by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  4. 65844

    Table_2_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.DOCX by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  5. 65845

    Image_1_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.TIF by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  6. 65846

    Image_4_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.TIF by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  7. 65847

    Table_1_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.xlsx by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  8. 65848

    Table_4_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.DOCX by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  9. 65849

    Image_6_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.PDF by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  10. 65850

    Table_6_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.DOCX by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  11. 65851

    Image_2_Profiling the Urinary Microbiota in Male Patients With Bladder Cancer in China.TIF by Peng Wu (210686)

    Published 2018
    “…We observed increased bacterial richness (Observed Species, Chao 1 and Ace indexes; cancer vs. control; 120.0 vs. 56.0; 134.5 vs. 68.3; and 139.6 vs. 72.9, respectively), enrichment of some bacterial genera (e.g., Acinetobacter, Anaerococcus, and Sphingobacterium) and decrease of some bacterial genera (e.g., Serratia, Proteus, and Roseomonas) in cancer group when compared to non-cancer group. …”
  12. 65852

    Table_1_COVI-Prim international: Similarities and discrepancies in the way general practices from seven different countries coped with the COVID-19 pandemic.DOCX by Andrea Siebenhofer (3558623)

    Published 2022
    “…A decrease in the number of patient contacts (5.7, 95% CI 5.4–5.9), the perception of risk (5.3 95% CI 4.9–5.6), the provision of information to GPs (4.9, 95% CI 4.6–5.2), their testing of suspected cases (3.7, 95% CI 3.4–3.9) and their preparedness to face a pandemic (mean: 3.5; 95% CI 3.2–3.7) were rated as moderate. …”
  13. 65853

    Table_2_COVI-Prim international: Similarities and discrepancies in the way general practices from seven different countries coped with the COVID-19 pandemic.DOCX by Andrea Siebenhofer (3558623)

    Published 2022
    “…A decrease in the number of patient contacts (5.7, 95% CI 5.4–5.9), the perception of risk (5.3 95% CI 4.9–5.6), the provision of information to GPs (4.9, 95% CI 4.6–5.2), their testing of suspected cases (3.7, 95% CI 3.4–3.9) and their preparedness to face a pandemic (mean: 3.5; 95% CI 3.2–3.7) were rated as moderate. …”
  14. 65854

    Table_1_COVI-Prim international: Similarities and discrepancies in the way general practices from seven different countries coped with the COVID-19 pandemic.DOCX by Andrea Siebenhofer (3558623)

    Published 2022
    “…A decrease in the number of patient contacts (5.7, 95% CI 5.4–5.9), the perception of risk (5.3 95% CI 4.9–5.6), the provision of information to GPs (4.9, 95% CI 4.6–5.2), their testing of suspected cases (3.7, 95% CI 3.4–3.9) and their preparedness to face a pandemic (mean: 3.5; 95% CI 3.2–3.7) were rated as moderate. …”
  15. 65855

    Table_2_COVI-Prim international: Similarities and discrepancies in the way general practices from seven different countries coped with the COVID-19 pandemic.DOCX by Andrea Siebenhofer (3558623)

    Published 2022
    “…A decrease in the number of patient contacts (5.7, 95% CI 5.4–5.9), the perception of risk (5.3 95% CI 4.9–5.6), the provision of information to GPs (4.9, 95% CI 4.6–5.2), their testing of suspected cases (3.7, 95% CI 3.4–3.9) and their preparedness to face a pandemic (mean: 3.5; 95% CI 3.2–3.7) were rated as moderate. …”
  16. 65856

    TGF-β<sub>1</sub> dependent effects on AP activity by SB431542 are depending on time. by Sabrina Ehnert (359631)

    Published 2013
    “…Supplementation with SB431542 was able to block the TGF-β<sub>1</sub>-dependent decrease of AP activity at all time-points. However, with increasing time of TGF-β<sub>1</sub> pre-treatment, the so-called “rescue effect”, observed after the additional 8 days in basic culture medium, was reduced. …”
  17. 65857

    FIGURE 2 from Proteasome Inhibition Reprograms Chromatin Landscape in Breast Cancer by H. Karimi Kinyamu (18387319)

    Published 2024
    “…Heat maps showing differential signal for non-phosphorylated (Non-P), and serine-5 phosphorylated (Ser5P) RNAPII at DOCRs that increase <b>(GAIN; A)</b> and decrease (<b>LOST; B</b>) accessibility. …”
  18. 65858

    C4 overexpression led to dendritic spine alterations in apical arbors of L2/3 mPFC neurons. by Ashley L. Comer (8299128)

    Published 2020
    “…<p>(A) Developmental time course of spine density in the mPFC revealed a significant decrease in spine density (spines/μm) in neurons overexpressing C4, as compared to controls (“Con”), at P21–23. …”
  19. 65859

    Average RVM measurements across the entire thirty patient cohort pre (left) and post (right) administration of 2mg of midazolam. by Luis N. Gonzalez Castro (3779431)

    Published 2017
    “…<p>(<b>A</b>) MV decreased significantly from 7.41 ± 0.62 L/min (mean ± SEM) to 5.95 ± 0.46 L/min, with an average decrease of 14.3% ± 5.9% (p<0.05). …”
  20. 65860

    The effect of novel synthetic communities on plant shoot Pi content can be predicted by an NN. by Sur Herrera Paredes (674875)

    Published 2018
    “…<p>(<b>A</b>) Schematic representation of the NN defined and applied for predictions. …”