يعرض 241 - 260 نتائج من 19,436 نتيجة بحث عن '(( significantly ((i decrease) OR (a decrease)) ) OR ( significantly restored decrease ))', وقت الاستعلام: 0.94s تنقيح النتائج
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    <b>The loss of insulin-positive cell clusters precedes the decrease of islet frequency and beta cell area in type 1 diabetes</b> حسب Denise M. Drotar (21679539)

    منشور في 2025
    "…Moreover, changes in endocrine composition also occurred in mAAb+ donors, including a significant decrease in the INS+ islet fraction. …"
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    AUT00201 (1 µM) can rescue AP width in cuprizone mice. حسب Sara Hijazi (21656615)

    منشور في 2025
    "…<p><b>A</b>. Bath application of AUT00201 1 µm decreased the rheobase of PV interneurons from cuprizone mice but not control mice (<i>group x AUT00201 two-way repeated measures: n = 12,13 cells from 4 mice per group: F(1,12) = 0.1816, p = 0.6775; AUT00201 effect: F(1,12) = 7.122, *p = 0.0205. …"
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    Supplementary Material for: Longitudinal Decrease in Left Ventricular Size with Age: Impact on Mortality and Cardiovascular Hospitalization حسب figshare admin karger (2628495)

    منشور في 2025
    "…Sensitivity analysis using annual LVEDD change (>1mm/year) demonstrated a significant association with mortality (HR 1.45, 95% CI 1.26-1.66, p<0.001) and the combined endpoint of death/cardiovascular hospitalization (HR 1.26, 95% CI 1.12-1.41, p<0.001). …"
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    Presentation 1_Decreased brain-derived neurotrophic factor expression in chronic kidney disease: integrated clinical and experimental evidence.pptx حسب Juan Chen (61123)

    منشور في 2025
    "…</p>Conclusion<p>This study integrated meta-analysis, murine model validation, and single-cell transcriptomic profiling to demonstrate a significant reduction of BDNF in CKD. Furthermore, renal BDNF expression decreased locally, predominantly originating from proximal tubule cells, macrophages, and podocytes, possibly epigenetically inhibited by the upregulation of lnc RNA Bdnf-as.…"
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    Data Sheet 1_Ruxolitinib synergizes with regulatory T cells to improve inflammation but has no added benefits in decreasing albuminuria in SLE.pdf حسب Mi-Ae Lyu (20413646)

    منشور في 2025
    "…UCB-Treg and ruxolitinib combination also downregulates the soluble form of inflammatory cytokines including IFN-γ, IP-10, TNF-α, IL-6, sCD40L, IL-17A, IL-17F, IL-1α, and LIF in cocultures. The addition of ruxolitinib increases UCB-Treg cell persistence in peripheral blood in vivo and decreases the soluble form of human inflammatory cytokines including IFN-γ, TNF-α, and sCD40L in plasma along with improvement of skin lesions in SLE xenografts. …"
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    Image 1_G. vaginalis increases HSV-2 infection by decreasing vaginal barrier integrity and increasing inflammation in vivo.tif حسب Nuzhat Rahman (16660416)

    منشور في 2024
    "…The vaginal epithelium of G. vaginalis inoculated mice showed decreased DSG-1 staining compared to other groups, indicating compromised barrier function. …"
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    Decreased childhood asthma hospitalizations linked to hotter, drier climate with lower wind speed in drylands حسب Klézio Silva Monte (20579829)

    منشور في 2025
    "…Monthly trends in hospitalizations and climatic variables were calculated. A generalized additive model analyzed the association between these trends, and the Mann-Kendall test determined if trends were increasing, decreasing, or not significant. …"
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    Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas حسب Malena Sibaja Leyton (18400983)

    منشور في 2025
    "…</p><p><br></p><p dir="ltr">#METADATA</p><p dir="ltr">#'data.frame': 472 obs. of 28 variables:</p><p dir="ltr"> #$ ID: Factor variable; a unique identity for the response to the survey</p><p dir="ltr"> #$ Year: Factor variable; six factors available (2016, 2017, 2018, 2019, 2020, 2021) representing the year for the response to the survey</p><p dir="ltr"> #$ N_dead_annual: Numeric variable; representing the number of colonies annually lost</p><p dir="ltr">#$ N_alive_annual: Numeric variable; representing the number of colonies annually alive</p><p dir="ltr"> #$ N_dead_dry: Numeric variable; representing the number of colonies lost during the dry season</p><p dir="ltr">#$ N_alive_dry: Numeric variable; representing the number of colonies alive during the dry season</p><p dir="ltr"> #$ N_dead_rainy: Numeric variable; representing the number of colonies lost during the rainy season</p><p dir="ltr">#$ N_alive_rainy: Numeric variable; representing the number of colonies alive during the rainy season</p><p dir="ltr"> #$ Education: Factor variable; four factors are available ("Self-taught","Learned from another melip","Intro training","Formal tech training"), representing the training level in meliponiculture</p><p dir="ltr"> #$ Operation_Size: Numeric variable; representing the number of colonies managed by the participant (in n)</p><p dir="ltr"> #$ propAgri: Numeric variable; representing the percentage of agricultural area surrounding the meliponary (in %)</p><p dir="ltr"> #$ propForest: Numeric variable; representing the percentage of forested area surrounding the meliponary (in %)</p><p dir="ltr">#$ temp.avg_annual: Numeric variable; representing the average annual temperature (in ºC)</p><p dir="ltr">#$ precip_annual_sum: Numeric variable; representing the total accumulated precipitation (in mm)</p><p dir="ltr">#$ precip_Oct_March_sum: Numeric variable; representing the total accumulated precipitation between October to March (in mm)</p><p dir="ltr">#$ precip_Apri_Sept_sum: Numeric variable; representing the total accumulated precipitation between April to September (in mm)</p><p dir="ltr">#$ temp.avg_Oct_March: Numeric variable; representing the total accumulated precipitation between October to March (in ºC)</p><p dir="ltr">#$ temp.avg_Apri_Sept: Numeric variable; representing the total accumulated precipitation between April to September (in ºC)</p><p dir="ltr"> #$ Importance_dead: Factor variable; three factors are available Normal","High","Very high"), representing the perception of the significance of annual colony losses</p><p dir="ltr"> #$ Climatic_environmental: Binary variable; representing if the participant considered climatic and environmental problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr"> #$ Contamination: Binary variable; representing if the participant considered contamination problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr"> #$ Nutritional: Binary variable; representing if the participant considered nutritional problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Sanitary: Binary variable; representing if the participant considered sanitary problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Queen: Binary variable; representing if the participant considered queen problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Time: Binary variable; representing if the participant considered time problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Economic: Binary variable; representing if the participant considered economic problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Attacks: Binary variable; representing if the participant considered time attacks as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Swarming: Binary variable; representing if the participant considered swarming problems as a potential driver (1) or not (0) of their annual colony losses</p><p><br></p>…"
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