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Showing 28,761 - 28,780 results of 74,121 for search '(( 5 ((we decrease) OR (mean decrease)) ) OR ( 50 ((nn decrease) OR (a decrease)) ))', query time: 0.85s Refine Results
  1. 28761
    Data Sheet 1_Trends in prescription opioid use in Europe: A DARWIN EU® multinational cohort study including seven European countries.docx

    Data Sheet 1_Trends in prescription opioid use in Europe: A DARWIN EU® multinational cohort study including seven European countries.docx by Junqing Xie (7514219)

    Published 2025
    “…</p>Conclusion<p>Despite a decrease in new opioid prescriptions in many European countries, the prevalence of opioid use remained largely stable over the last decade. …”
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  2. 28762
    Table_1_Short Body Height and Pre-pregnancy Overweight for Increased Risk of Gestational Diabetes Mellitus: A Population-Based Cohort Study.DOC

    Table_1_Short Body Height and Pre-pregnancy Overweight for Increased Risk of Gestational Diabetes Mellitus: A Population-Based Cohort Study.DOC by Jing Li (10611)

    Published 2018
    “…The risk of GDM increased rapidly with a decreasing height from 158 cm and downwards. …”
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  3. 28763
    DataSheet_1_The impact of immunoglobulin G N-glycosylation level on COVID-19 outcome: evidence from a Mendelian randomization study.xlsx

    DataSheet_1_The impact of immunoglobulin G N-glycosylation level on COVID-19 outcome: evidence from a Mendelian randomization study.xlsx by Feiwu Long (12434270)

    Published 2023
    “…Two (IGP2 and IGP77) and five (IGP10, IGP14, IGP34, IGP36, and IGP50) IgG N-glycosylation traits were causally associated with a decreased risk of COVID-19 hospitalization and severity, respectively. …”
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  4. 28764
    DataSheet_3_The impact of immunoglobulin G N-glycosylation level on COVID-19 outcome: evidence from a Mendelian randomization study.xlsx

    DataSheet_3_The impact of immunoglobulin G N-glycosylation level on COVID-19 outcome: evidence from a Mendelian randomization study.xlsx by Feiwu Long (12434270)

    Published 2023
    “…Two (IGP2 and IGP77) and five (IGP10, IGP14, IGP34, IGP36, and IGP50) IgG N-glycosylation traits were causally associated with a decreased risk of COVID-19 hospitalization and severity, respectively. …”
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  5. 28765
    DataSheet_4_The impact of immunoglobulin G N-glycosylation level on COVID-19 outcome: evidence from a Mendelian randomization study.xlsx

    DataSheet_4_The impact of immunoglobulin G N-glycosylation level on COVID-19 outcome: evidence from a Mendelian randomization study.xlsx by Feiwu Long (12434270)

    Published 2023
    “…Two (IGP2 and IGP77) and five (IGP10, IGP14, IGP34, IGP36, and IGP50) IgG N-glycosylation traits were causally associated with a decreased risk of COVID-19 hospitalization and severity, respectively. …”
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  6. 28766
    DataSheet_2_The impact of immunoglobulin G N-glycosylation level on COVID-19 outcome: evidence from a Mendelian randomization study.xlsx

    DataSheet_2_The impact of immunoglobulin G N-glycosylation level on COVID-19 outcome: evidence from a Mendelian randomization study.xlsx by Feiwu Long (12434270)

    Published 2023
    “…Two (IGP2 and IGP77) and five (IGP10, IGP14, IGP34, IGP36, and IGP50) IgG N-glycosylation traits were causally associated with a decreased risk of COVID-19 hospitalization and severity, respectively. …”
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  7. 28767
    Table_2_The mutual interactions among Helicobacter pylori, chronic gastritis, and the gut microbiota: a population-based study in Jinjiang, Fujian.XLSX

    Table_2_The mutual interactions among Helicobacter pylori, chronic gastritis, and the gut microbiota: a population-based study in Jinjiang, Fujian.XLSX by Hanjing Li (16874217)

    Published 2024
    “…Objectives<p>Helicobacter pylori (H. pylori) is a type of bacteria that infects the stomach lining, and it is a major cause of chronic gastritis (CG). …”
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  8. 28768
    Image_1_A rhoptry protein, localizing in the bulb region of rhoptries, could induce protective immunity against Eimeria tenella infection.tif

    Image_1_A rhoptry protein, localizing in the bulb region of rhoptries, could induce protective immunity against Eimeria tenella infection.tif by Tuan-yuan Shi (17544435)

    Published 2023
    “…</p>Results<p>An EtROP21 gene fragment with an open reading frame (ORF) of 981 bp was obtained from the Beijing strain of E. tenella. The rEtROP21 has a molecular weight of approximately 50 kDa and was recognized by rEtROP21-immunized mouse serum. …”
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  9. 28769
    Table_1_The mutual interactions among Helicobacter pylori, chronic gastritis, and the gut microbiota: a population-based study in Jinjiang, Fujian.XLSX

    Table_1_The mutual interactions among Helicobacter pylori, chronic gastritis, and the gut microbiota: a population-based study in Jinjiang, Fujian.XLSX by Hanjing Li (16874217)

    Published 2024
    “…Objectives<p>Helicobacter pylori (H. pylori) is a type of bacteria that infects the stomach lining, and it is a major cause of chronic gastritis (CG). …”
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  10. 28770
    Table_1_Emergence of Hypervirulent ST11-K64 Klebsiella pneumoniae Poses a Serious Clinical Threat in Older Patients.XLSX

    Table_1_Emergence of Hypervirulent ST11-K64 Klebsiella pneumoniae Poses a Serious Clinical Threat in Older Patients.XLSX by Tian Wei (5533379)

    Published 2022
    “…<p>The carbapenem-resistant hypervirulent Klebsiella pneumoniae (CR-hvKP) poses a severe therapeutic challenge to global public health, and research on CR-hvKP in older patients remain limited. …”
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  11. 28771
    Table_3_The mutual interactions among Helicobacter pylori, chronic gastritis, and the gut microbiota: a population-based study in Jinjiang, Fujian.XLSX

    Table_3_The mutual interactions among Helicobacter pylori, chronic gastritis, and the gut microbiota: a population-based study in Jinjiang, Fujian.XLSX by Hanjing Li (16874217)

    Published 2024
    “…Objectives<p>Helicobacter pylori (H. pylori) is a type of bacteria that infects the stomach lining, and it is a major cause of chronic gastritis (CG). …”
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  12. 28772
    Effects of aerobic exercise on the expression levels of NLRP3 and its related factors in the skeletal muscle of mice.

    Effects of aerobic exercise on the expression levels of NLRP3 and its related factors in the skeletal muscle of mice. by Shujuan Hu (22656045)

    Published 2025
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  13. 28773
    Isolation and characterization of rabbit EPCs and ASCs.

    Isolation and characterization of rabbit EPCs and ASCs. by Fengshan Gan (11944695)

    Published 2022
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  14. 28774
    Changes in the partial pressure of end-tidal CO(PCO) as a function of the % endurance time during the constant work-rate exercise test, before and after training

    Changes in the partial pressure of end-tidal CO(PCO) as a function of the % endurance time during the constant work-rate exercise test, before and after training by Paige Holm (56306)

    Published 2011
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  15. 28775
    <i>Computed and experimental muscle excitations and fiber lengths</i>.

    <i>Computed and experimental muscle excitations and fiber lengths</i>. by Israel Luis (13916706)

    Published 2024
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  16. 28776
    Data_Sheet_2_Reducing the Number of Individuals to Monitor Shoaling Fish Systems – Application of the Shannon Entropy to Construct a Biological Warning System Model.DOCX

    Data_Sheet_2_Reducing the Number of Individuals to Monitor Shoaling Fish Systems – Application of the Shannon Entropy to Construct a Biological Warning System Model.DOCX by Harkaitz Eguiraun (5183036)

    Published 2018
    “…Two different experiments were performed: (i) one starting with 50 fish and decreasing to 25, 13, and 1 fish, and (ii) a second experiment starting with one fish, adding one new fish per day during 5 days, ending up with five fish in the tank. …”
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  17. 28777
    Data_Sheet_6_Reducing the Number of Individuals to Monitor Shoaling Fish Systems – Application of the Shannon Entropy to Construct a Biological Warning System Model.DOCX

    Data_Sheet_6_Reducing the Number of Individuals to Monitor Shoaling Fish Systems – Application of the Shannon Entropy to Construct a Biological Warning System Model.DOCX by Harkaitz Eguiraun (5183036)

    Published 2018
    “…Two different experiments were performed: (i) one starting with 50 fish and decreasing to 25, 13, and 1 fish, and (ii) a second experiment starting with one fish, adding one new fish per day during 5 days, ending up with five fish in the tank. …”
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  18. 28778
    Data_Sheet_8_Reducing the Number of Individuals to Monitor Shoaling Fish Systems – Application of the Shannon Entropy to Construct a Biological Warning System Model.DOCX

    Data_Sheet_8_Reducing the Number of Individuals to Monitor Shoaling Fish Systems – Application of the Shannon Entropy to Construct a Biological Warning System Model.DOCX by Harkaitz Eguiraun (5183036)

    Published 2018
    “…Two different experiments were performed: (i) one starting with 50 fish and decreasing to 25, 13, and 1 fish, and (ii) a second experiment starting with one fish, adding one new fish per day during 5 days, ending up with five fish in the tank. …”
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  19. 28779
    Data_Sheet_4_Reducing the Number of Individuals to Monitor Shoaling Fish Systems – Application of the Shannon Entropy to Construct a Biological Warning System Model.DOCX

    Data_Sheet_4_Reducing the Number of Individuals to Monitor Shoaling Fish Systems – Application of the Shannon Entropy to Construct a Biological Warning System Model.DOCX by Harkaitz Eguiraun (5183036)

    Published 2018
    “…Two different experiments were performed: (i) one starting with 50 fish and decreasing to 25, 13, and 1 fish, and (ii) a second experiment starting with one fish, adding one new fish per day during 5 days, ending up with five fish in the tank. …”
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  20. 28780
    Data_Sheet_1_Reducing the Number of Individuals to Monitor Shoaling Fish Systems – Application of the Shannon Entropy to Construct a Biological Warning System Model.DOCX

    Data_Sheet_1_Reducing the Number of Individuals to Monitor Shoaling Fish Systems – Application of the Shannon Entropy to Construct a Biological Warning System Model.DOCX by Harkaitz Eguiraun (5183036)

    Published 2018
    “…Two different experiments were performed: (i) one starting with 50 fish and decreasing to 25, 13, and 1 fish, and (ii) a second experiment starting with one fish, adding one new fish per day during 5 days, ending up with five fish in the tank. …”
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