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Showing 3,301 - 3,320 results of 18,470 for search 'significantly ((((((lower decrease) OR (linear decrease))) OR (a decrease))) OR (teer decrease))', query time: 0.59s Refine Results
  1. 3301
    Agreement in the order of district towns in the results of the SD-TOPSIS application in space ‐ combination A vs. B1.

    Agreement in the order of district towns in the results of the SD-TOPSIS application in space ‐ combination A vs. B1. by Roman Vavrek (13200141)

    Published 2024
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  2. 3302
    Agreement in the order of district towns in the results of the SD-TOPSIS application in space ‐ combination A vs. D2.

    Agreement in the order of district towns in the results of the SD-TOPSIS application in space ‐ combination A vs. D2. by Roman Vavrek (13200141)

    Published 2024
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  3. 3303
    Agreement in the order of district towns in the results of the SD-TOPSIS application in space ‐ combination A vs. C1.

    Agreement in the order of district towns in the results of the SD-TOPSIS application in space ‐ combination A vs. C1. by Roman Vavrek (13200141)

    Published 2024
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  4. 3304
    (A) and (B) represent the total ion chromatogram in positive and negative model of qualitative analysis, respectively.

    (A) and (B) represent the total ion chromatogram in positive and negative model of qualitative analysis, respectively. by Xiaoqiang Huang (1457860)

    Published 2025
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  5. 3305
    Effect of DE of <i>S. malaccense</i> and <i>S. samarangense</i> leaves on histopathological examination of the kidney tissues.

    Effect of DE of <i>S. malaccense</i> and <i>S. samarangense</i> leaves on histopathological examination of the kidney tissues. by Fatma A. Moharram (9276104)

    Published 2025
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  6. 3306
    HPLC-MS tentative identification of phenolic metabolites from the defatted extract (DE) of <i>S. malaccense</i> (SM) and <i>S. samarangense</i> (SS) leaves.

    HPLC-MS tentative identification of phenolic metabolites from the defatted extract (DE) of <i>S. malaccense</i> (SM) and <i>S. samarangense</i> (SS) leaves. by Fatma A. Moharram (9276104)

    Published 2025
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  7. 3307
    Estimated total phenolic content (TPC), and total flavonoid content (TFC) in the defatted extract (DE) of <i>S. malaccense</i> and <i>S. samarangense</i> leaves.

    Estimated total phenolic content (TPC), and total flavonoid content (TFC) in the defatted extract (DE) of <i>S. malaccense</i> and <i>S. samarangense</i> leaves. by Fatma A. Moharram (9276104)

    Published 2025
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  8. 3308
    Effect of DE of <i>S. malaccense</i> and <i>S. samarangense</i> on A) GSH, B) SOD, C) TNF-α, D) IL-1β, E) p-NF-κB, and F) Caspase-3 levels.

    Effect of DE of <i>S. malaccense</i> and <i>S. samarangense</i> on A) GSH, B) SOD, C) TNF-α, D) IL-1β, E) p-NF-κB, and F) Caspase-3 levels. by Fatma A. Moharram (9276104)

    Published 2025
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  9. 3309
    Effect of DE of <i>S. malaccense</i> and <i>S. samarangense</i> leaves on A) ATP, B) p-mTOR, C) beclin-1, and D) p-AMPK levels.

    Effect of DE of <i>S. malaccense</i> and <i>S. samarangense</i> leaves on A) ATP, B) p-mTOR, C) beclin-1, and D) p-AMPK levels. by Fatma A. Moharram (9276104)

    Published 2025
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  10. 3310
    Total ion chromatogram (TIC) obtained from HPLC-MS of the defatted aqueous methanol extract of <i>S. malaccense</i> leaves in (A) positive and (B) negative ionization modes.

    Total ion chromatogram (TIC) obtained from HPLC-MS of the defatted aqueous methanol extract of <i>S. malaccense</i> leaves in (A) positive and (B) negative ionization modes. by Fatma A. Moharram (9276104)

    Published 2025
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  11. 3311
    Total ion chromatogram (TIC) obtained from HPLC-MS of the defatted aqueous methanol extract of <i>S. samarangense</i> leaves in (A) positive and (B) negative ionization modes.

    Total ion chromatogram (TIC) obtained from HPLC-MS of the defatted aqueous methanol extract of <i>S. samarangense</i> leaves in (A) positive and (B) negative ionization modes. by Fatma A. Moharram (9276104)

    Published 2025
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  12. 3312
    Potential mechanism of aerobic exercise in regulating glycolipid metabolism of PDM mice.

    Potential mechanism of aerobic exercise in regulating glycolipid metabolism of PDM mice. by Shujuan Hu (22656045)

    Published 2025
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  13. 3313
    Determinants of lipid lowering therapy intensification in very high risk patients with dyslipidaemia eligible for PCSK9 monoclonal antibodies: 1-year outcomes of the PERI-DYS study

    Determinants of lipid lowering therapy intensification in very high risk patients with dyslipidaemia eligible for PCSK9 monoclonal antibodies: 1-year outcomes of the PERI-DYS study by Klaus G. Parhofer (12280424)

    Published 2025
    “…</p> <p>Among 1565 patients, LDL-C levels decreased from 91.0 mg/dL at baseline to 73.5 mg/dL at 6 months and 71.5 mg/dL at 12 months. …”
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  14. 3314
    Data Sheet 8_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf

    Data Sheet 8_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

    Published 2025
    “…Background<p>Particulate matter pollution (PMP) remains a leading risk factor for lower respiratory infections (LRIs) globally. …”
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  15. 3315
    Data Sheet 5_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf

    Data Sheet 5_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

    Published 2025
    “…Background<p>Particulate matter pollution (PMP) remains a leading risk factor for lower respiratory infections (LRIs) globally. …”
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  16. 3316
    Data Sheet 1_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf

    Data Sheet 1_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

    Published 2025
    “…Background<p>Particulate matter pollution (PMP) remains a leading risk factor for lower respiratory infections (LRIs) globally. …”
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  17. 3317
    Data Sheet 7_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf

    Data Sheet 7_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

    Published 2025
    “…Background<p>Particulate matter pollution (PMP) remains a leading risk factor for lower respiratory infections (LRIs) globally. …”
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  18. 3318
    Data Sheet 3_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf

    Data Sheet 3_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

    Published 2025
    “…Background<p>Particulate matter pollution (PMP) remains a leading risk factor for lower respiratory infections (LRIs) globally. …”
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  19. 3319
    Data Sheet 6_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf

    Data Sheet 6_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

    Published 2025
    “…Background<p>Particulate matter pollution (PMP) remains a leading risk factor for lower respiratory infections (LRIs) globally. …”
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  20. 3320
    Data Sheet 2_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf

    Data Sheet 2_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

    Published 2025
    “…Background<p>Particulate matter pollution (PMP) remains a leading risk factor for lower respiratory infections (LRIs) globally. …”
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