Showing 19,361 - 19,380 results of 36,050 for search '(( significant ((level increased) OR (mean decrease)) ) OR ( significant decrease decrease ))', query time: 0.62s Refine Results
  1. 19361

    Inotodiol triggered apoptosis in HCC cells. by Yushuang Xing (20636685)

    Published 2025
    “…Animal studies demonstrated that inotodiol possessed the ability to suppress tumor growth in nude mice models, at the same time, there was no significant impact on the body weight and organs of the mice. …”
  2. 19362

    High-Precision Printing Sandwich Flexible Transparent Silver Mesh for Tunable Electromagnetic Interference Shielding Visualization Windows by Qixiang Wang (812506)

    Published 2024
    “…However, these conventional approaches decrease optical transmittance or increase material consumption, thus compromising the optical performance and economic viability. …”
  3. 19363

    Summary of experimental dataset. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  4. 19364

    Impacts of on rating prediction RMSE and MAE. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  5. 19365

    Results of bundle recommendation for each method. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  6. 19366

    The RMSE results of each rating methods. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  7. 19367

    Impacts of the number of layers on the model. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  8. 19368

    The impact of the bundle size on the model. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  9. 19369

    Results comparison in the ablation experiments. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  10. 19370

    Impacts of on rating prediction (RMSE+MAE). by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  11. 19371

    S1 File. The main code of the research. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  12. 19372

    Impacts of embedding dimension on the model. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  13. 19373

    Problem description diagram. by Yan Fang (443710)

    Published 2025
    “…Moreover, user satisfaction with the recommended bundles also increased significantly. These results highlight the value of rating differences in understanding user behavior and validate the efficacy of our two-stage model in improving bundle recommendation performance for online retailers.…”
  14. 19374

    Identifying cyst initiation candidate genes through mRNA sequencing <i>Pkd2</i> mouse kidneys at pre-cystic and early cystic time points. by Abigail O. Smith (11883787)

    Published 2024
    “…Colored dots indicate FDR <0.05, red indicates increased and blue decreased in Experimental vs Control. Plot was cropped for better visualization. (*) Data point moved for better visualization: Pkd2 [Log2(FC) = -1.13, -Log10(FDR) = 93.97], Cdkl1 [Log2(FC) = 0.42, -Log10(FDR) = 26.30]. …”
  15. 19375

    Confidence-accuracy dissociations in CNNs. by Medha Shekhar (19502698)

    Published 2024
    “…<p>For all experiments and networks (custom 4-layer CNN, VGG-19 and ResNet-50), accuracy was matched across energy conditions, but confidence significantly increases with energy levels. The violin plots show the kernel density estimates of the data distribution. …”
  16. 19376

    Quantitative Proteomics Reveals the Role of Lysine Lactylation in Lenalidomide-Resistance in Multiple Myeloma Cells by Xinlong Guo (18126720)

    Published 2025
    “…Glycolysis-driven elevation of Kla levels was observed in lenalidomide-resistant MM cells, and the subsequent inhibition of glycolytic activity significantly reversed the lenalidomide-resistance phenotype. …”
  17. 19377

    Quantitative Proteomics Reveals the Role of Lysine Lactylation in Lenalidomide-Resistance in Multiple Myeloma Cells by Xinlong Guo (18126720)

    Published 2025
    “…Glycolysis-driven elevation of Kla levels was observed in lenalidomide-resistant MM cells, and the subsequent inhibition of glycolytic activity significantly reversed the lenalidomide-resistance phenotype. …”
  18. 19378

    Quantitative Proteomics Reveals the Role of Lysine Lactylation in Lenalidomide-Resistance in Multiple Myeloma Cells by Xinlong Guo (18126720)

    Published 2025
    “…Glycolysis-driven elevation of Kla levels was observed in lenalidomide-resistant MM cells, and the subsequent inhibition of glycolytic activity significantly reversed the lenalidomide-resistance phenotype. …”
  19. 19379

    LULC proportion from 2040 to 2060. by Muse Wldmchel (20642444)

    Published 2025
    “…The study highlighted significant land-use changes, with increased agriculture and built-up areas at the expense of forests and pasturelands. …”
  20. 19380

    Global sensitive flow parameters [84]. by Muse Wldmchel (20642444)

    Published 2025
    “…The study highlighted significant land-use changes, with increased agriculture and built-up areas at the expense of forests and pasturelands. …”