Showing 19,201 - 19,220 results of 36,050 for search '(( significant level increased ) OR ( significant decrease decrease ))', query time: 0.87s Refine Results
  1. 19201

    Inotodiol inhibits HCC cells migration. 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. 19202

    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. 19203

    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. …”
  4. 19204

    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. …”
  5. 19205

    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.…”
  6. 19206

    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.…”
  7. 19207

    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.…”
  8. 19208

    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.…”
  9. 19209

    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.…”
  10. 19210

    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.…”
  11. 19211

    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.…”
  12. 19212

    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.…”
  13. 19213

    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.…”
  14. 19214

    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.…”
  15. 19215

    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.…”
  16. 19216

    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]. …”
  17. 19217

    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. …”
  18. 19218

    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. 19219

    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. …”
  20. 19220

    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. …”