Showing 21 - 40 results of 161 for search '"Reverse mathematics', query time: 0.08s Refine Results
  1. 21
  2. 22

    Mathematical analysis and numerical simulation of a model of morphogenesis by Ana I. Muñoz, José Ignacio Tello

    Published 2011-07-01
    “…We consider a simple mathematical model of distribution of morphogens (signaling molecules responsible for the differentiation of cells and the creation of tissue patterns). …”
    Get full text
    Article
  3. 23
  4. 24
  5. 25
  6. 26
  7. 27
  8. 28

    Low Carbon Operation Optimization of lntegrated Energy System with Reversible Solid Oxide Cell by LI Xin, WANG Changsheng, LI Xinyu, ZHAO Weijie, LI Yang, GUO Panfeng

    Published 2025-01-01
    “…First,the operating mechanism and mathematical models of the RSOC and CCS are constructed. …”
    Get full text
    Article
  9. 29
  10. 30
  11. 31

    Resonances in Reverse Vavilov-Cherenkov Radiation Produced by Electron Beam Passage over Periodic Interface by Gerard Granet, Petr Melezhik, Anatoliy Poyedinchuk, Seil Sautbekov, Yuriy Sirenko, Nataliya Yashina

    Published 2015-01-01
    “…Resonances in reverse Vavilov-Cherenkov radiation produced by the charged particles beam passage over periodic boundary of dispersive left-handed medium are found out and studied. …”
    Get full text
    Article
  12. 32

    Mechanisms on the Injection Conformance Reversion during Polymer Flooding of Offshore Heterogeneous Heavy-Oil Reservoirs by Zhijie Wei, Xiaodong Kang, Yuyang Liu, Hanxu Yang

    Published 2021-01-01
    “…Injection conformance reversion commonly observed during polymer flooding in offshore heterogeneous heavy-oil reservoirs weakens the volumetric sweep of polymer solution and compromises its EOR results. …”
    Get full text
    Article
  13. 33
  14. 34

    Facilitation of students’ disembedding in an online visual arts and mathematics education program by Mehtap Kus, Nora S. Newcombe

    Published 2025-02-01
    “…This overall process challenged students’ initial simplistic shape organizations based on Gestalt principles, leading to the identification of primary and secondary structures, as well as reversible figures. Conclusions/potential implications This research sheds light on the concept of disembedding skills rooted in Gestalt psychology, and its connection to the figure-ground phenomenon observed in both artistic and mathematical contexts. …”
    Get full text
    Article
  15. 35

    Simulation of a Reverse Electrodialysis–Absorption Refrigeration Integration System for the Efficient Recovery of Low-Grade Waste Heat by Xi Wu, Linjing Yan, Xiaojing Zhu, Mingjun Liu

    Published 2024-12-01
    “…In this study, a comprehensive mathematical simulation model of a RED–ARS integration system was established, and an aqueous lithium bromide solution was selected as the working solution. …”
    Get full text
    Article
  16. 36

    Comparative study of degree, neighborhood and reverse degree based indices for drugs used in lung cancer treatment through QSPR analysis by Micheal Arockiaraj, J. J. Jeni Godlin, S. Radha, Tariq Aziz, Mitub Al-harbi

    Published 2025-01-01
    “…Topological indices are mathematical descriptors derived from the molecular graphs that capture structural features and connectivity, playing a crucial role in QSPR analysis by quantitatively relating chemical structures to their physicochemical properties and biological activities. …”
    Get full text
    Article
  17. 37

    Bayesian reinforcement learning models reveal how great-tailed grackles improve their behavioral flexibility in serial reversal learning experiments by Lukas, Dieter, McCune, Kelsey, Blaisdell, Aaron, Johnson-Ulrich, Zoe, MacPherson, Maggie, Seitz, Benjamin, Sevchik, August, Logan, Corina

    Published 2024-09-01
    “…Here, we apply and expand newly developed Bayesian reinforcement learning models to gain additional insights into how individuals might dynamically modulate their behavioral flexibility if they experience serial reversals. We derive mathematical predictions that, during serial reversal learning experiments, individuals will gain the most rewards if they 1) increase their *rate of updating associations* between cues and the reward to quickly change to a new option after a reversal, and 2) decrease their *sensitivity* to their learned association to explore the alternative option after a reversal. …”
    Get full text
    Article
  18. 38
  19. 39
  20. 40