Showing 18,401 - 18,420 results of 21,342 for search '(( significant ((i decrease) OR (a decrease)) ) OR ( significant decrease decrease ))', query time: 0.76s Refine Results
  1. 18401

    Optimization of Linear Loading Strategy for Fuel Cell Initiation Based on Gaussian Process Regression Model (Supporting Information) by Jianbin SU (19730371)

    Published 2024
    “…The findings reveal that the loading rate significantly influences the ice volume fraction and the duration required for cold start, while exerting a lesser effect on voltage and the voltage variation. …”
  2. 18402

    Image 2_Impact of Lactiplantibacillus plantarum on the fermentation quality, nutritional enhancement, and microbial dynamics of whole plant soybean silage.tif by He Meng (33363)

    Published 2025
    “…For the sustainable utilization of biomass resources, this study assessed the fermentation quality, microbial communities, and metabolites of whole plant soybean (WPS) silage with and without Lactiplantibacillus plantarum (LP) over different fermentation periods of 7, 15, 30, 60, and 90 days. With LP, there was a significant increase in dry matter (DM), crude protein (CP), and water-soluble carbohydrate (WSC) content of silage (p < 0.01) and a significant decrease in pH (p < 0.01). …”
  3. 18403

    Data Sheet 2_Impact of Lactiplantibacillus plantarum on the fermentation quality, nutritional enhancement, and microbial dynamics of whole plant soybean silage.xlsx by He Meng (33363)

    Published 2025
    “…For the sustainable utilization of biomass resources, this study assessed the fermentation quality, microbial communities, and metabolites of whole plant soybean (WPS) silage with and without Lactiplantibacillus plantarum (LP) over different fermentation periods of 7, 15, 30, 60, and 90 days. With LP, there was a significant increase in dry matter (DM), crude protein (CP), and water-soluble carbohydrate (WSC) content of silage (p < 0.01) and a significant decrease in pH (p < 0.01). …”
  4. 18404

    Raw_data_N_adition_increased_SOC_PNAS.xlsx by Guoyong Yan (14273351)

    Published 2025
    “…While some studies report positive impacts of N addition on SOC sequestration due to enhance forest productivity and decrease in soil C release, others suggest neutral or negative effects due to negative effects of excess N and other nutrient limitations, reflecting ecosystem-specific responses and highlighting a need for holistic mechanistic insights. …”
  5. 18405

    <b>Indirect effects of warming via phenology on reproductive success of alpine plants</b> by Tianwu Zhang (13169939)

    Published 2024
    “…Furthermore, warming led to a decrease in the number of seeds and productivity of alpine plants, while seed size remained stable. …”
  6. 18406

    Image 2_Spatial deciphering of the transcriptomic heterogeneity of tumor spread through air spaces in lung cancer.tif by Wenhao Wang (515852)

    Published 2025
    “…Meanwhile, an increase in CD4 T memory cells and a decrease in B cells were observed in the tumor immune microenvironment of STAS. …”
  7. 18407

    Image 4_Spatial deciphering of the transcriptomic heterogeneity of tumor spread through air spaces in lung cancer.tif by Wenhao Wang (515852)

    Published 2025
    “…Meanwhile, an increase in CD4 T memory cells and a decrease in B cells were observed in the tumor immune microenvironment of STAS. …”
  8. 18408

    Image 3_Spatial deciphering of the transcriptomic heterogeneity of tumor spread through air spaces in lung cancer.tif by Wenhao Wang (515852)

    Published 2025
    “…Meanwhile, an increase in CD4 T memory cells and a decrease in B cells were observed in the tumor immune microenvironment of STAS. …”
  9. 18409

    Video 2_Real-time segmentation and phenotypic analysis of rice seeds using YOLOv11-LA and RiceLCNN.mp4 by Dejia Zhang (18526510)

    Published 2025
    “…These modifications not only improve detection accuracy but also significantly reduce the number of parameters by 63.2% and decrease computational complexity by 51.6%. …”
  10. 18410

    Image 2_The Effect of glycocholic acid on the growth, membrane permeability, conjugation and antibiotic susceptibility of Enterobacteriaceae.pdf by Bar Piscon (20906495)

    Published 2025
    “…Introduction<p>Glycocholic acid (GCA) is a steroid acid and one of the main glycine-conjugated bile components in mammalian bile, which is involved in the emulsification and absorption of fats and sterols. …”
  11. 18411

    Image 4_The Effect of glycocholic acid on the growth, membrane permeability, conjugation and antibiotic susceptibility of Enterobacteriaceae.pdf by Bar Piscon (20906495)

    Published 2025
    “…Introduction<p>Glycocholic acid (GCA) is a steroid acid and one of the main glycine-conjugated bile components in mammalian bile, which is involved in the emulsification and absorption of fats and sterols. …”
  12. 18412

    Image 6_The Effect of glycocholic acid on the growth, membrane permeability, conjugation and antibiotic susceptibility of Enterobacteriaceae.pdf by Bar Piscon (20906495)

    Published 2025
    “…Introduction<p>Glycocholic acid (GCA) is a steroid acid and one of the main glycine-conjugated bile components in mammalian bile, which is involved in the emulsification and absorption of fats and sterols. …”
  13. 18413

    Image 3_The Effect of glycocholic acid on the growth, membrane permeability, conjugation and antibiotic susceptibility of Enterobacteriaceae.pdf by Bar Piscon (20906495)

    Published 2025
    “…Introduction<p>Glycocholic acid (GCA) is a steroid acid and one of the main glycine-conjugated bile components in mammalian bile, which is involved in the emulsification and absorption of fats and sterols. …”
  14. 18414

    Image 5_The Effect of glycocholic acid on the growth, membrane permeability, conjugation and antibiotic susceptibility of Enterobacteriaceae.pdf by Bar Piscon (20906495)

    Published 2025
    “…Introduction<p>Glycocholic acid (GCA) is a steroid acid and one of the main glycine-conjugated bile components in mammalian bile, which is involved in the emulsification and absorption of fats and sterols. …”
  15. 18415

    Community consumption of J01 antibiotics at national and state levels expressed as DDD per 1000 inhabitants and per day (DID), Brazil, 2014−2020. by Tatiana de Jesus Nascimento Ferreira (21492903)

    Published 2025
    “…<sup>2</sup>CAGR = [(DIDend/DIDstart)^(1/N)]-1 (N = period). <sup>3</sup>Trend- indicates that the change in consumption (↑ increase or ↓ decrease) was statistically significant (p-value ≤ 0.05%). …”
  16. 18416

    Image 2_Genotype-dependent response to water deficit: increases in maize cell wall digestibility occurs through reducing both p-coumaric acid and lignification of the rind.tif by Ana López-Malvar (3751006)

    Published 2025
    “…</p>Results and discussion<p>Overall, we observed greater concentrations of p-coumaric acid under control conditions, with significant decreases in stressed conditions at each location. …”
  17. 18417

    Table 3_Global, regional, and national trends in colorectal cancer burden from 1990 to 2021 and projections to 2040.xlsx by Tao Zhang (43681)

    Published 2025
    “…</p>Results<p>The GBD 2021 estimates indicate a significant increase in the global incident cases, deaths, and DALYs of CRC from 1990 to 2021. …”
  18. 18418

    Table 2_Global, regional, and national trends in colorectal cancer burden from 1990 to 2021 and projections to 2040.docx by Tao Zhang (43681)

    Published 2025
    “…</p>Results<p>The GBD 2021 estimates indicate a significant increase in the global incident cases, deaths, and DALYs of CRC from 1990 to 2021. …”
  19. 18419

    Data (NICU - AMR Data set). by Biniyam Tedla Mamo (20598461)

    Published 2025
    “…Bivariable and multivariable logistic regression analyses were used to identify the factors associated with the treatment outcomes of neonatal sepsis. A p-value < 0.05 was set for statistical significance.…”
  20. 18420

    Patient characteristic. by Biniyam Tedla Mamo (20598461)

    Published 2025
    “…Bivariable and multivariable logistic regression analyses were used to identify the factors associated with the treatment outcomes of neonatal sepsis. A p-value < 0.05 was set for statistical significance.…”