Showing 1 - 20 results of 37,766 for search '(( significant bio based ) OR ( significant ((i.e decrease) OR (we decrease)) ))', query time: 1.06s Refine Results
  1. 1
  2. 2

    GO analysis of stage-salient genes in the order of decreasing significance (i.e, increasing p–value). by Sangeetha Muthamilselvan (8966006)

    Published 2022
    “…<p>GO analysis of stage-salient genes in the order of decreasing significance (i.e, increasing p–value).</p>…”
  3. 3

    Concreteness and emotional valence of episodic future thinking (EFT) independently affect the dynamics of intertemporal decisions by Cinzia Calluso (5662420)

    Published 2019
    “…Here, we investigated this issue by manipulating the valence of the EFT (i.e., using negative, neutral and positive episodic tags), and by collecting explicit and implicit measures of behaviour. …”
  4. 4

    Bio-based additives for thermoplastics by Marco Aurelio De Paoli (6826217)

    Published 2019
    “…<div><p>Abstract Presently, there are significant research efforts being undertaken to produce bio-based chemicals in a cost-effective way. …”
  5. 5

    Innovative applications of bio-inspired technology in bio-based food packaging by Jiaqi Zhong (12507014)

    Published 2025
    “…Inspired by many biological structures found in nature, bio-inspired functional materials for bio-based food packaging have been shown to have significantly improved capabilities over traditional bio-based food packaging materials in various aspects and to attract consumers through novel freshness preservation features. …”
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16

    Contribution of base models to BioTexVal. by Yifan He (3986123)

    Published 2025
    “…Results have shown that this approach significantly outperforms previous predictive methods. …”
  17. 17
  18. 18
  19. 19
  20. 20

    Design flow of bio-inspired artificial neurons. by Keerthi Nalliboyina (20623524)

    Published 2025
    “…<div><p>Artificial neurons with bio-inspired firing patterns have the potential to significantly improve the performance of neural network computing. …”