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Showing 501 - 506 results of 506 for search '(((aba OR melfi) OR eba) OR ((mild OR mid) OR (mello OR ((cella OR bell) OR belia))))', query time: 0.17s Refine Results
  1. 501
    Food insecurity and coping strategies index among low-income households in Klang Valley, Malaysia

    Food insecurity and coping strategies index among low-income households in Klang Valley, Malaysia by Ahmad Azuddin, Ainatul Husna, Ramli, Nurul Nadia, Shamsudin, Mad Nasir, Buda, Mark

    Published 2023
    “…The findings of this study suggested that 11.36%, 43.21%, 38.75% and 6.68% of the respondents were using low, mildly, moderately and severely coping strategies, respectively. …”
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    Conference or Workshop Item
  2. 502
    Rupture and variable coupling behavior of the Mentawai segment of the Sunda megathrust during the supercycle culmination of 1797 to 1833

    Rupture and variable coupling behavior of the Mentawai segment of the Sunda megathrust during the supercycle culmination of 1797 to 1833 by Philibosian, Belle, Sieh, Kerry, Avouac, Jean-Philippe, Natawidjaja, Danny H., Chiang, Hong-Wei, Wu, Chung-Che, Perfettini, Hugo, Shen, Chuan-Chou, Daryono, Mudrik R., Suwargadi, Bambang W.

    Published 2015
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    Journal Article
  3. 503
    Histone lysine and DNA methylation: dynamic marks in the chromatin

    Histone lysine and DNA methylation: dynamic marks in the chromatin by Belle, R

    Published 2019
    Thesis
  4. 504
    Investigating spatio-temporal variability of initial ²³⁰Th/²³²Th in intertidal corals

    Investigating spatio-temporal variability of initial ²³⁰Th/²³²Th in intertidal corals by Chiang, Hong-Wei, Philibosian, Belle, Meltzner, Aron J., Wu, Chung-Che, Shen, Chuan-Chou, Edwards, R. Lawrence, Chuang, Chih-Kai, Suwargadi, Bambang W., Natawidjaja, Danny H.

    Published 2023
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    Journal Article
  5. 505
    Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks

    Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks by Dai, Yan, Huang, Longbo

    Published 2025
    “…We propose the UMO2 algorithm, which does not require any pre-decision knowledge or counterfactual feedback, ensures network stability, and also matches the utility maximization performance of any "mildly varying" reference policy up to a polynomially decaying gap. …”
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    Article
  6. 506
    Facile oxidative recovery of manganese as electrochemically active MnO2 from spent lithium-ion battery bioleachate

    Facile oxidative recovery of manganese as electrochemically active MnO2 from spent lithium-ion battery bioleachate by Ranganathan, Deepika, Roy, Joseph Jegan, Cao, Bin, Srinivasan, Madhavi

    Published 2024
    “…Electrochemical evaluation studies of the bioleachate recovered MnO2 for aqueous zinc battery application revealed that bioleachate MnO2 demonstrated a comparable discharge capacity of 145 mAh/g in alkaline electrolyte as well as much superior cycling performance (81% retention of initial discharge capacity of 149 mAh/g) for up to 80 cycles in a mildly acidic ZnSO4-based electrolyte than commercial MnO2. …”
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    Journal Article

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