Showing 3,121 - 3,140 results of 6,596 for search '(( significant decrease decrease ) OR ( significant changes decrease ))~', query time: 0.43s Refine Results
  1. 3121

    Table 2_Downsizing chronic disease management programs for type 2 diabetes patients during the COVID-19 pandemic: changes in healthcare utilization patterns.docx by Corinne Rijpkema (12587274)

    Published 2025
    “…In Q1 of 2020, type 2 diabetes patient visits to out-of-hours GP services rose notably, but decreased in Q1 of 2021, compared to 2019. Hospital care for diabetes showed a significant increase in Q2 of 2021 (+11.3%), compared to Q2 2019 and regular GP care increased from Q1 2021 (up to +11.1% in Q3 2021). …”
  2. 3122

    Effect of miR-7974 mimic transfection on proliferation of MDA-MB-453 cells together with changes in protein and gene expression levels of LC3B. by Stralina Eneh (21213312)

    Published 2025
    “…GAPDH was used as a reference protein. <b>(B)</b> The fold change of total protein levels of LC3B between negative control/cells only samples and miR-7974-treated samples were statistically significant. …”
  3. 3123

    Table 1_Downsizing chronic disease management programs for type 2 diabetes patients during the COVID-19 pandemic: changes in healthcare utilization patterns.docx by Corinne Rijpkema (12587274)

    Published 2025
    “…In Q1 of 2020, type 2 diabetes patient visits to out-of-hours GP services rose notably, but decreased in Q1 of 2021, compared to 2019. Hospital care for diabetes showed a significant increase in Q2 of 2021 (+11.3%), compared to Q2 2019 and regular GP care increased from Q1 2021 (up to +11.1% in Q3 2021). …”
  4. 3124

    Table 1_Research on the changes in the disease burden of nasopharyngeal carcinoma caused by global occupational formaldehyde exposure from 1990 to 2021 and prediction of future tre... by Tingting Duan (5181482)

    Published 2025
    “…Background<p>Explore the changes in the burden of nasopharyngeal carcinoma (NPC) caused by occupational formaldehyde exposure from 1990 to 2021, and predict its development trend up to 2050, to provide references for formulating relevant policies and measures.…”
  5. 3125

    Table 1_Neural correlates of subjective cognitive decline in Alzheimer’s disease: a systematic review of structural and functional brain changes for early diagnosis and interventio... by Giulia Marafioti (21163931)

    Published 2025
    “…Dynamic functional connectivity studies report reduced brain activity efficiency, while graph theory analyses show decreased network integration. Advanced neuroimaging techniques and machine learning (ML) approaches demonstrate significant promise in detecting subtle neural changes in SCD, with applications for early diagnosis and monitoring disease progression.…”
  6. 3126

    Image 1_Ketogenic diet–induced changes in methylation status and neuropeptide signaling: relationships between S-adenosylmethionine (AdoMet), orexin-A, and metabolic health.pdf by Laura Mosca (704904)

    Published 2025
    “…Circulating AdoMet (−75.7%) and Orexin-A (−7.2%) levels also decreased significantly. AdoMet levels positively correlated with body weight, BMI, visceral adipose tissue, total cholesterol, fasting glycemia, triglycerides, HbA1c, and notably Orexin-A (R<sup>2</sup> = 0.3848, p < 0.0001).…”
  7. 3127
  8. 3128

    Spatial econometric model estimation results. by Zijie Li (776536)

    Published 2025
    “…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”
  9. 3129

    Description of various production factors. by Zijie Li (776536)

    Published 2025
    “…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”
  10. 3130

    Regression coefficients of production function. by Zijie Li (776536)

    Published 2025
    “…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”
  11. 3131

    Production function regression ridge trace. by Zijie Li (776536)

    Published 2025
    “…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”
  12. 3132

    Model test results. by Zijie Li (776536)

    Published 2025
    “…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”
  13. 3133

    Raw data underlying the findings in this study. by Andrew Mvula (20161161)

    Published 2024
    “…We used micro-CT and inferential statistics to determine whether the relative bone density in the skulls of adult Three-lips fish, that seasonally upstream migrated to a Lake Biwa tributary, changed across their known reproductive season. The relative bone density significantly decreased as standard length and condition factor (<i>K</i>) increased in both sexes. …”
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  15. 3135

    <b>Global pattern and drivers of disease heterogeneity in aging populations</b> by Chengcheng Jin (20326186)

    Published 2024
    “…Our analysis further revealed that socio-economic factors (e.g., socio-demographic indices, governance) strongly impacted global SHDI changes, while climatic and environmental factors (e.g., extreme climate and air pollution) showed significant differences across genders. …”
  16. 3136

    Data Sheet 1_The dynamics of lowland river sections of Danube and Tisza in the Carpathian basin.pdf by Imre M. Jánosi (7480598)

    Published 2025
    “…The empirical histograms for half-daily water level changes can be well-fitted by piecewise-exponential functions containing four or three sections, consistent with the understanding that level changes are deterministic rather than stochastic processes, as is well known in hydrology. …”
  17. 3137

    Data used in the simulations. by Anna Ferretto (17473110)

    Published 2025
    “…Carbon turnover time - the time that carbon spends in the ecosystem - is a fundamental component in determining forest potential to mitigate climate change. However, there is a significant knowledge gap regarding how current and future forest management practices will affect carbon turnover time. …”
  18. 3138

    <b>Ecological Drought Dynamics in Central Asia: Advanced Satellite Monitoring (1990–2025)</b> by Omid Shobairi (22317805)

    Published 2025
    “…<p dir="ltr">Central Asia, one of the world's most climate-vulnerable regions, faces significant ecological drought challenges. This study investigates vegetation change trends and factors influencing ecological drought across Kazakhstan, Uzbekistan, Turkmenistan, Tajikistan, and Kyrgyzstan over 35 years (1990-2025). …”
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