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  1. 59681

    Aerosol single-scattering albedo derived by merging OMI/POLDER satellite products and AERONET ground observations by Y. Dong, J. Li, J. Li, Z. Zhang, C. Zhang, Q. Li

    Published 2025-08-01
    “…The two merged datasets generated in this study, available at <a href="https://doi.org/10.5281/zenodo.14294462">https://doi.org/10.5281/zenodo.14294462</a> <span class="cit" id="xref_paren.1">(<a href="#bib1.bibx6">Dong</a>, <a href="#bib1.bibx6">2025</a>)</span>, can offer more accurate SSA estimates for assessing aerosol radiative forcing and improving climate modeling, serving as an important resource for advancing global aerosol research.…”
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    Understanding Flaky Tests Through Linguistic Diversity: A Cross-Language and Comparative Machine Learning Study by Azeem Ahmad, Xin Sun, Muhammad Rashid Naeem, Yasir Javed, Mohammad Akour, Kristian Sandahl

    Published 2025-01-01
    “…In order to ascertain the impact of linguistic diversity on the flakiness of test cases, models were trained on a single language and subsequently tested on a variety of languages. …”
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