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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
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Showing 601 - 620 results of 32,676 for search '(( significant decrease decrease ) OR ( significantly ((reduced decrease) OR (reduced disease)) ))', query time: 0.53s Refine Results
  1. 601
    The interaction of ACE2 and TMPRSS2 with SARS-CoV-2.

    The interaction of ACE2 and TMPRSS2 with SARS-CoV-2. by Jesús Poch-Páez (21807825)

    Published 2025
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  2. 602
    Participants’ characteristics.

    Participants’ characteristics. by Jesús Poch-Páez (21807825)

    Published 2025
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  3. 603
    Sources of infection.

    Sources of infection. by Jesús Poch-Páez (21807825)

    Published 2025
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  4. 604
    Decreased hypotaurine levels within cells lacking the ADO gene in U251 cells.

    Decreased hypotaurine levels within cells lacking the ADO gene in U251 cells. by Hong Tian (169626)

    Published 2025
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  5. 605
    A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction

    A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction by Kuo Yang (280921)

    Published 2025
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  6. 606
    A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction

    A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction by Kuo Yang (280921)

    Published 2025
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  7. 607
    A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction

    A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction by Kuo Yang (280921)

    Published 2025
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  8. 608
    MF001 reduces lipid accumulation and peroxidation in liver tissues.

    MF001 reduces lipid accumulation and peroxidation in liver tissues. by Eun-Ho Lee (2696890)

    Published 2025
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  9. 609
    (A-B): Mean intraocular pressure (IOP) (A) and mean number of glaucoma medications (B) with standard deviations are shown for XEN (grey) and PRESERFLO (black) groups at baseline (preoperative), one day (1D), two weeks (2W), one month (1M) and 12, 24, and 36 months postoperatively.

    (A-B): Mean intraocular pressure (IOP) (A) and mean number of glaucoma medications (B) with standard deviations are shown for XEN (grey) and PRESERFLO (black) groups at baseline (p... by Cemre Altas (22537656)

    Published 2025
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  10. 610
    Smoking Behaviors of the participants categorized by the respective year.

    Smoking Behaviors of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

    Published 2025
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  11. 611
    Drinking Behaviors of the male participants categorized by the respective year.

    Drinking Behaviors of the male participants categorized by the respective year. by Jae Yeon Jeong (11979030)

    Published 2025
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  12. 612
    Drinking Behaviors of the participants categorized by the respective year.

    Drinking Behaviors of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

    Published 2025
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  13. 613
    Sleep and Mental health of the participants categorized by the respective year.

    Sleep and Mental health of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

    Published 2025
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  14. 614
    General characteristics of the participants categorized by the respective year.

    General characteristics of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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  15. 615
    Difference in drinking, smoking, and suicidal ideation by year.

    Difference in drinking, smoking, and suicidal ideation by year. by Jae Yeon Jeong (11979030)

    Published 2025
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  16. 616
    Drinking Behaviors of the female participants categorized by the respective year.

    Drinking Behaviors of the female participants categorized by the respective year. by Jae Yeon Jeong (11979030)

    Published 2025
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  17. 617
    Map of Harlingen, TX showing the location of the four study neighborhoods.

    Map of Harlingen, TX showing the location of the four study neighborhoods. by Jesús A. Aguilar-Durán (9931967)

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  18. 618
    <i>Aedes aegypti</i> database from SAGO traps.

    <i>Aedes aegypti</i> database from SAGO traps. by Jesús A. Aguilar-Durán (9931967)

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  19. 619
    Weather conditions and variation in the numbers of female <i>Ae. aegypti</i> captured in SAGO traps.

    Weather conditions and variation in the numbers of female <i>Ae. aegypti</i> captured in SAGO traps. by Jesús A. Aguilar-Durán (9931967)

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  20. 620
    Average number of female <i><i>Ae</i></i>. <i><i>aegypti</i></i> in SAGOs traps per trap per week before and after treatments.

    Average number of female <i><i>Ae</i></i>. <i><i>aegypti</i></i> in SAGOs traps per trap per week before and after treatments. by Jesús A. Aguilar-Durán (9931967)

    Published 2025
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