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  1. 1141

    Identification and leveling of factors affecting the acceptance of excellence model in Islamic Azad University by Seyedeh Somayeh Mousavi Siah Deleh, Samad Jabbari Asl, Musa Rezvani Chaman Zamin

    Published 2024-05-01
    “…According to the results of the research, the following proposal is presented: 1- The university should prepare and compile a checklist of all the indicators presented in the research and score (for example, from 1 to 10) for each of the indicators in terms of the university's readiness in that field. 2- Specialist experts should give points to each department in terms of the level of preparation of the university. 3- For the indicators that scored below the average or have a lower score compared to other indicators, planning should be done with appropriate timing to develop readiness in that sector with the help of the custodian area. 4- The custodian areas should send their continuous report regarding the improvement of the level of preparation of their subordinate unit to the university president.…”
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    Emission Characteristics, OFPs, and Mitigation Perspectives of VOCs from Refining Industry in China’s Petrochemical Bases by Gulbanu Hini, Kexin Gao, Yi Zheng, Maimaiti Simayi, Shaodong Xie

    Published 2023-05-01
    “…Total VOC emissions from existing refineries were 541.14 Gg in 2019, of which 43.9%, 31.3%, 18.3%, and 6.6% were from fugitive, end-of-pipe, tank storage, and wastewater treatment sources, respectively. …”
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    Editorial by Michael Rose, Jonathan M. Hoffmann

    Published 2020-02-01
    “…Can future persons blame us for our (lack of) climate policies? In three contributions (Hoffmann, Nedevska, Unruh), Parfit’s 14-year-old girl is still discussed, and this question remains hotly disputed. …”
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    Racial diversity amongst Otolaryngology-Head and Neck Surgery programs in Canada by Garret Horton, Elysia Grose, Tanya Chen, Oluwaseun Daniel Davies, Dongho Shin, Ian Witterick, Paolo Campisi, Yvonne Chan

    Published 2023-07-01
    “…Simple descriptive statistics were tabulated for all demographic variables. Chi-square goodness of fit analysis was used to compare survey results to anticipated demographics based on 2016 Canadian census data. …”
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