Showing 4,121 - 4,140 results of 9,050 for search 'significantly ((((we decrease) OR (larger decrease))) OR (((teer decrease) OR (mean decrease))))', query time: 0.45s Refine Results
  1. 4121

    Table 1_Predicting the potential distribution of Corylus heterophylla in China under future climate change using an optimized MaxEnt model.docx by Jingyu Wang (292122)

    Published 2025
    “…The dominant factors influencing the distribution were identified as Bio16 (Precipitation of wettest quarter, 39.5%), Bio9 (Mean temperature of driest quarter, 22.2%), Alt (Altitude, 16.2%), and Bio3 (Isothermality, 7.1%). …”
  2. 4122

    Supplementary file 1_Wellness-enhancing effects of the canine growth hormone releasing hormone therapy mediated by plasmid and electroporation in healthy old dogs.docx by Min-Ok Ryu (5072594)

    Published 2025
    “…While mean serum IGF-1 concentrations did not change overall, post-hoc stratification revealed that dogs with low baseline IGF-1 (<90 ng/mL) showed substantial increases, whereas those with high baseline levels tended to decrease. …”
  3. 4123

    Supplementary file 1_Instability and uncertainty of carbon storage in karst regions under land use change: a case study in Guiyang, China.docx by Heng Zhou (287510)

    Published 2025
    “…By 2035, projections under natural development, urban expansion, and ecological protection scenarios estimate increases to 147.50 Tg, 147.40 Tg, and 147.82 Tg, respectively. (2) Carbon storage instability increased from 2000 to 2020, while uncertainty is expected to decrease by 2035. Instability was primarily due to transitions of Cropland-Forest, Forest-Cropland, Cropland-Grassland, and Cropland-Impervious, while uncertainties mainly arise from Cropland-Forest, Cropland-Impervious, and Grassland-Impervious transitions. (3) DEM, AI, Distance from national highways, SHDI, and Mean annual precipitation affected instability significantly. (4) Encouraging Shrub-Forest, Shrub-Cropland and Cropland-Forest conversions, and controlling Forest-Cropland, Forest-Shrub, and Cropland-Impervious conversions within the stable intervals of factors, can enhance carbon storage and reduce uncertainty. …”
  4. 4124
  5. 4125

    Supplementary file 1_Wearable-derived heart rate variability and sleep monitoring as predictors of mood episodes in bipolar disorder: a case report.jpg by Aiko Eto (22769225)

    Published 2025
    “…The findings revealed that reductions in nocturnal RMSSD preceded the onset of depressive symptoms, while decreases in time spent in bed were significantly associated with the exacerbation of manic symptoms. …”
  6. 4126

    Table 4_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

    Published 2025
    “…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  7. 4127

    Image 5_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

    Published 2025
    “…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  8. 4128

    Table 1_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

    Published 2025
    “…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  9. 4129

    Table 3_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

    Published 2025
    “…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  10. 4130

    Image 3_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

    Published 2025
    “…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  11. 4131

    Image 2_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

    Published 2025
    “…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  12. 4132

    Table 6_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

    Published 2025
    “…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  13. 4133

    Table 2_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

    Published 2025
    “…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  14. 4134

    Image 4_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

    Published 2025
    “…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  15. 4135

    Table 5_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

    Published 2025
    “…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  16. 4136

    Image 1_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

    Published 2025
    “…Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I<sup>2</sup> = 76%). …”
  17. 4137

    Hardness preference in <i>Drosophila</i> larvae, as a relevant cue for varying feeding substrates. by Nikita Komarov (11903342)

    Published 2025
    “…B’: Relative hardness of agarose concentrations normalised to the mean 2.5% agarose hardness (error bars too small to visualise). …”
  18. 4138

    Telomere-to-telomere genome of <i>Phoebe chekiangensis</i> reveals age-dependent CHG hypomethylation promoting floral transition via MADS-box gene activation by Qinglin Sun (17811556)

    Published 2025
    “…Their ectopic expression in Arabidopsis significantly accelerated flowering. Whole-genome bisulfite sequencing revealed an age-related decrease in CHG methylation, particularly at the PcMADS19.1 locus. …”
  19. 4139

    Data Sheet 1_Direct and indirect effects of land use on microbiomes of trap-nesting solitary bee larvae and nests.docx by Birte Peters (12323923)

    Published 2025
    “…</p>Results<p>As expected, we observed significant shifts in the bacterial composition and diversity of bees and their nests across varying degrees of land use intensity, differing in management types and the availability of flowers. …”
  20. 4140

    DataSheet1_FOXO1-mediated autophagy regulation by miR-223 in sepsis-induced immunosuppression.ZIP by Guoan Xiang (383282)

    Published 2024
    “…Levels of autophagy were monitored using a double-labeled lentivirus (mRFP-GFP-LC3) and electron microscopy, and western blot analysis was used to estimate the levels of autophagy-related proteins and FOXO1 in the two cell models after co-treatment with lipopolysaccharide (LPS) and siRNA against FOXO1.</p>Results<p>We found that when the expression of miR-223 increased, FOXO1 expression decreased and autophagy decreased; whereas, when FOXO1 expression was inhibited, autophagy decreased significantly in different cell models after LPS induction.…”