Showing 81 - 100 results of 494 for search '(( significant decrease decrease ) OR ( significant ((mean decrease) OR (we decrease)) ))~', query time: 0.45s Refine Results
  1. 81

    Baseline characteristics of participants. by Hyungjong Park (10147327)

    Published 2025
    “…However, the relationship between renal hyperfiltration (RHF) and dyslipidemia remains unclear. Here, we aimed to examine the association between RHF and incidence of dyslipidemia.…”
  2. 82

    Datasets used in the study. by Rajon Banik (12066099)

    Published 2025
    “…</p><p>Conclusion</p><p>The findings indicate a significant increase in the availability of health facilities offering modern family planning services in Bangladesh; however, a slight decline has been observed in their overall mean readiness score. …”
  3. 83

    Sociodemographic Characteristics of Sample 2. by Aistė Ambrasė (22505574)

    Published 2025
    “…We also found that the mean agreement with the IB-DE subscale decreased after the pandemic. …”
  4. 84

    English and German versions of OUS. by Aistė Ambrasė (22505574)

    Published 2025
    “…We also found that the mean agreement with the IB-DE subscale decreased after the pandemic. …”
  5. 85

    Raw database. by Franco Romaní-Romaní (21989788)

    Published 2025
    “…The mean score across all tests was 9.19 (standard deviation = 2.34). …”
  6. 86

    <b>Data for s</b><b>easonal variations in coral lipids and their significance for energy maintenance in the </b><b>South China Sea</b> by Hongyan Mo (19721569)

    Published 2024
    “…<p dir="ltr">In recent years, the intensification of global warming and extreme climate have led to an increase in the frequency and severity of coral bleaching. Coral bleaching means a decrease in symbiotic zooxanthellae density (ZD). …”
  7. 87

    <i>SLC2A2</i> is essential for liver differentiation in developing vertebrates by Yejin Kim (740789)

    Published 2025
    “…Data are represented as mean ± standard error of the mean (SEM). (G) Quantitative RT-PCR analysis was performed to evaluate the expression levels of igf1r. …”
  8. 88

    Demographic data. by Narisa Rattanalert (21445983)

    Published 2025
    “…The participants practiced on the schematic eye as much as needed to feel confident in their skills. Mean rubric scores indicative of LIO-ROP skills significantly improved from 2.94 to 3.59 out of 4 (P < 0.001), and the time required for the laser procedure decreased from 17.19 to 15.14 minutes in pre- and post-LIO-ROP practice, respectively. …”
  9. 89

    Model selection based on best fit. by Angelina Mageni Lutambi (22097223)

    Published 2025
    “…The results showed that malaria incidence decreased with greater variance across Tanzania. Mean malaria incidence decreased from 0.347 (95% CI: 0.336, 0.357) in 2000 to 0.118 (95% CI: 0.114, 0.122) in 2020, relative to the increasing insecticide-treated bednets (ITNs) coverage (0.037; 95% CI: 0.036, 0.039 in 2000 to 0.496; 95% CI: 0.476, 0.517 in 2020). …”
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  16. 96

    Key safety measures including adverse events. by Anuja Dokras (8679261)

    Published 2025
    “…Waist circumference (mean change (MC) −2.23 cm; 95% CI [−3.98, −0.49]; <i>p</i> = 0.01), BMI (MC −0.49 kg/m<sup>2</sup>; 95% CI [−0.88, −0.10[; <i>p</i> = 0.01), and android fat mass measured by DXA (MC −167 g; 95% CI [−264, −71[; <i>p</i> < 0.001) decreased in the COCP group over the study period whilst there was no statistically significant changes in these parameters in the metformin only group when compared to baseline.. …”
  17. 97

    Performance comparison of ML models. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  18. 98

    Comparative data of different soil samples. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  19. 99

    Confusion matrix of random forest model. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  20. 100

    Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”