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  1. 41

    Black Boarding Academies as a Prudential Reparation by Roy Brooks

    Published 2023-05-01
    “…Moreover, transitional reparations have rarely been attempted in other countries and when tried it has never succeeded to my knowledge. South Africa attempted to use reparations for social transformation. …”
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  2. 42

    Black Boarding Academies as a Prudential Reparation by Roy Brooks

    Published 2023-05-01
    “…Moreover, transitional reparations have rarely been attempted in other countries and when tried it has never succeeded to my knowledge. South Africa attempted to use reparations for social transformation. …”
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    Article
  3. 43

    ‘Des nouvelles de mon infortunée sœur’: Marie-Antoinette dans les lettres de l’archiduchesse Marie-Christine à l’empereur François by Catriona Seth

    Published 2024-11-01
    “…Francis II – the successor to Leopold II, who died suddenly on 1 March 1792 – never met his relative who languished at the Temple and at the Conciergerie before mounting the scaffold. …”
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  4. 44

    Exploring the drivers of adolescent sexual and reproductive healthcare-seeking behavior in northwestern Botswana: a cross-sectional analysis by Mackenzie Lawson, Helen Apps, Peggie Ramaphane, Francis Barchi

    Published 2025-02-01
    “…The outcome variable of interest was whether a respondent had ever forgone a visit to a health clinic for sexual and reproductive health information or services. …”
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  5. 45

    Exploring associations of financial well-being with health behaviours and physical and mental health: a cross-sectional study among US adults by Kai McKeever Bullard, Carla Mercado, Michele L F Bolduc, Desmond Banks, Courtni Andrews, Zoe R F Freggens, Rashid Njai

    Published 2024-04-01
    “…FWB were lower in adults who have ever been diagnosed with anxiety disorder (−1.8 points) or depression (−2 points). …”
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  6. 46

    Tobacco Use, Risk Perceptions, and Characteristics of Adults Who Used a Heated Tobacco Product (IQOS) in the United States: Cross-Sectional Survey Study by Hui G Cheng, Brendan Noggle, Andrea R Vansickel, Edward G Largo, Pierpaolo Magnani

    Published 2025-02-01
    “…The vast majority (680/688, 98.8%) of AUIs had ever smoked combusted cigarettes before first trying THS and 628 (91.3%) had smoked cigarettes in the 30 days before first using THS. …”
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  7. 47
  8. 48

    Can smoking duration alone replace pack-years to predict the risk of smoking-related oncogenic mutations in non-small cell lung cancer? A cross-sectional study in Japan by Masahiko Ando, Yoshihiko Taniguchi, Akihiro Tamiya, Akihide Matsumura, Koichi Ogawa, Yasuhiro Koh, Hiroyasu Kaneda, Motohiro Izumi, Yoshiya Matsumoto, Kenji Sawa, Mitsuru Fukui, Naoki Yoshimoto, Akihito Kubo, Shun-ichi Isa, Hideo Saka, Tomoya Kawaguchi

    Published 2020-09-01
    “…Objective To investigate whether smoking duration alone can replace pack-years to predict the risk of oncogenic mutations in non-small cell lung cancer (NSCLC).Design A cross-sectional study using the baseline dataset from the Japan Molecular Epidemiology for Lung Cancer Study.Setting Forty-three medical institutions nationwide in Japan.Participants From July 2012 to December 2013, 957 patients with newly diagnosed stage I–IIIB NSCLC who underwent surgery were enrolled, and molecular analyses were performed on 876 samples (from 441 ever-smokers and 435 never-smokers).Main outcomes measured We calculated the area under the receiver operating characteristic curve (AUC) values using logistic regression to compare between the predictive values of smoking duration and pack-years for mutational frequencies in the v-Ki-ras2 Kirsten rat sarcoma (KRAS), tumour suppressor p53 (TP53), and epidermal growth factor receptor (EGFR) genes and for cytosine-to-adenine base substitution (C>A).Results For predicting KRAS mutations, the AUC values for smoking duration and pack-years were 0.746 (95% CI 0.682 to 0.800) and 0.759 (95% CI 0.700 to 0.810), respectively (p=0.058). …”
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  9. 49

    Three in four children age 12–23 months missed opportunities for vaccination in Sub-Saharan African countries: a multilevel mixed effect analysis of demographic health and surveys... by Melak Jejaw, Tesfahun Zemene Tafere, Misganaw Guadie Tiruneh, Asebe Hagos, Getachew Teshale, Mikias Mered Tilahun, Wubshet D. Negash, Kaleb Assegid Demissie

    Published 2025-01-01
    “…Children age: 12 to 15 months (AOR = 1.3, 95%CI:1.22, 1.36) and 16 to 18 months (AOR = 1.1, 95%CI: 1.04, 1.16), maternal age 35 to 49 (AOR = 1.1, 95%CI: 1.02, 1.17), married mother (AOR = 0.85, 95%CI: 0.80, 0.90), education: didn’t attend formal education (AOR = 1.13, 95%CI: 1.10, 1.22) and completed primary education (AOR = 1.1, 95%CI: 1.02, 1.16), ANC: never attend (AOR = 0.76, 95%CI:0.71, 0.82) and having four and above ANC visit (AOR = 0.9, 95%CI:0.85, 0.96), health insurance users (AOR = 1.4, 95%CI: 1.25, 1.49), male headed household (AOR = 1.35, 95%CI: 1.27, 1.43), religion: Muslim (AOR = 1.5, 95%CI:1.38, 1.57), Animist (AOR = 1.5, 95%CI:1.31, 1.64), and Catholic followers (AOR = 1.2, 95%CI:1.13, 1.31) and Protestant (AOR = 0.88, 95%CI:0.82, 0.95), home delivery (AOR = 0.79, 95%CI:0.75, 0.84), rural dwellers (AOR = 1.1, 95%CI: 1.04, 1.17), ever had media exposure (AOR = 0.91, 95%CI:0.86, 0.97), big problem to reach health facility (AOR = 1.1, 95%CI: 1.02, 1.14), high community wealth status (AOR = 0.91, 95%CI: 0.83, 0.99), low community level educational status (AOR = 1.2, 95%CI: 1.14, 1.38) and human development index: middle (AOR = 1.4, 95%CI: 1.21, 1.59) were factors associated with MOV. …”
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