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Showing 1,601 - 1,620 results of 1,691 for search 'significantly ((longer decrease) OR (linear decrease))', query time: 0.19s Refine Results
  1. 1601

    Data Sheet 1_Inverse associations of the lifestyle critical 9 with cardiorenal syndrome: the mediating role of the dietary inflammatory index.xlsx by Hongman Li (19546419)

    Published 2025
    “…The dose–response curve illustrates a linear relationship between LC9 and CRS; as LC9 increases, the occurrence of CRS decreases. …”
  2. 1602

    Table 1_Inverse associations of the lifestyle critical 9 with cardiorenal syndrome: the mediating role of the dietary inflammatory index.docx by Hongman Li (19546419)

    Published 2025
    “…The dose–response curve illustrates a linear relationship between LC9 and CRS; as LC9 increases, the occurrence of CRS decreases. …”
  3. 1603

    Land use intensity classes standard. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  4. 1604

    Land use transfer matrix 1990-2020 (km<sup>2</sup>). by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  5. 1605

    Study area habitat quality LISA clustering map. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  6. 1606

    Spato-temporal changes in land use types. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  7. 1607

    Pattern indices of landscape levels. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  8. 1608

    Table 1_Association between composite dietary antioxidant index and increased urinary albumin excretion: a population-based study.docx by Shaopeng Li (820947)

    Published 2025
    “…The prevalence of increased ACR decreased across the CDAI quartiles from 13.89% in Q1 to 10.11% in Q4. …”
  9. 1609

    Type level landscape index changes in 1990-2020. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  10. 1610

    The role of IRF-1 in mediating T-cell immune imbalance in systemic lupus erythematosus and the construction of a diagnostic model by Zichen Huang (6587885)

    Published 2025
    “…Immune analysis revealed decreased numbers of resting CD4⁺ memory T cells and Tregs (<i>P</i> < 0.01), alongside expanded proinflammatory cells (M1/M2 macrophages, neutrophils; <i>P</i> < 0.01). …”
  11. 1611

    Location map of the study area. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  12. 1612

    Data source. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  13. 1613

    Research Technology Flow Chart. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  14. 1614

    A Proposal for Implementation of Multi-Factor Authentication (MFA) System for Enhanced Security By Stephen Mikah Makoshi by Stephen Mikah Makoshi (20998469)

    Published 2025
    “…<b>Reduced Reliance on Passwords</b>: Decreased risk of security incidents related to passwords.…”
  15. 1615

    Supplementary Material for: Focus on the Blind Spot of Stone Disease: Analysis of Lower Urinary Tract Stone Interventions from 2006 to 2020 using German nationwide inpatient data. by Herout R. (20352174)

    Published 2024
    “…Methods We analyzed data from the nationwide German hospital billing database from 2006 to 2020. The significance of changes over time was evaluated via linear regression analysis. …”
  16. 1616

    Supplementary Material for: Evolution of growth following anti-TNF-α therapy in paediatric Crohn’s disease: data from the Swiss IBD Cohort Study by figshare admin karger (2628495)

    Published 2025
    “…Height velocity z-scores showed a significant increase across both genders. Factors contributing to a decreased height z-score included male sex, age 10 and below at diagnosis, a concomitant corticosteroid treatment and a top-down treatment strategy. …”
  17. 1617

    Table 2_Drug-induced urinary retention: a real-world pharmacovigilance study using FDA and Canada vigilance databases.xlsx by Xianyu Dai (18939514)

    Published 2025
    “…The top 50 drugs were analyzed for annual reporting trends using linear regression. Disproportionality analysis using the reporting odds ratio (ROR) method, with P-values adjusted via Bonferroni correction, identified significant signals, which were then validated against drug labels and re-evaluated using the CVAR database. …”
  18. 1618

    Table 1_Immune checkpoint proteins are associated with persistently high liver stiffness after successful HCV treatment in people with HIV: a retrospective study.docx by Rubén Martín-Escolano (17411991)

    Published 2024
    “…Although LSM values showed a decreasing trend over the years following successful HCV treatment, this trend was not statistically significant due to substantial variability among PWH. …”
  19. 1619

    Table 1_Drug-induced urinary retention: a real-world pharmacovigilance study using FDA and Canada vigilance databases.docx by Xianyu Dai (18939514)

    Published 2025
    “…The top 50 drugs were analyzed for annual reporting trends using linear regression. Disproportionality analysis using the reporting odds ratio (ROR) method, with P-values adjusted via Bonferroni correction, identified significant signals, which were then validated against drug labels and re-evaluated using the CVAR database. …”
  20. 1620

    Table 1_Association between oxidative balance score and methylation cycle biomarkers in US adults: insights from the national health and nutrition examination survey.docx by Xuna Liu (16988607)

    Published 2025
    “…RCS regression analysis revealed that with the increase in OBS, serum folate, RBC folate, vitamin B6, and vitamin B12 also increased, while HCY and MMA decreased.</p>Conclusion<p>Our findings demonstrate a significant relationship between OBS and the methylation cycle. …”