Showing 621 - 640 results of 766 for search 'One World Media', query time: 0.10s Refine Results
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    INTERNATIONAL FORUM OF AMERICAN SOCIETY FOR ENGINEERING EDUCATION by Vasily Ivanov, Yulia Ziyatdinova

    Published 2016-12-01
    “…A number of international nonBprofit nonBgovernmental engineering education organizations aim at unitingthe faculty and administrators of engineering universities and the representativesof industry in order to develop joint solutions and improve thequality of engineering education worldBwide. The most popular of these organizations are Internationale Gesellschaft für Ingenieurpädagogik IGIP, Société Européenne pour la Formation des Ingénieurs (SEFI), Global Engineering Deans Council (GEDC), American Society for Engineering Education (ASEE), and etc.ASEE is one of the organizations implementing global scale activities. …”
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  5. 625

    Molecular Epidemiology of Salmonella enterica in Poultry in South Africa Using the Farm-to-Fork Approach by Melissa A. Ramtahal, Anou M. Somboro, Daniel G. Amoako, Akebe L. K. Abia, Keith Perrett, Linda A. Bester, Sabiha Y. Essack

    Published 2022-01-01
    “…Litter, faeces, and carcass rinsate isolates were classified as resistant to cefuroxime (45.2%), cefoxitin (1.9%), chloramphenicol (1.9%), nitrofurantoin (0.4%), pefloxacin (11.4%), and azithromycin (11%). …”
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    Time to first antenatal care visit and its predictors among women in Kenya: Weibull gamma shared frailty model (based on the recent 2022 KDHS data) by Bizunesh Fantahun Kase, Beminate Lemma Seifu, Kusse Urmale Mare, Abdu Hailu Shibeshi, Hiwot Altaye Asebe, Kebede Gemeda, Zufan Alamrie Asmare, Yordanos Sisay Asgedom, Bezawit Melak Fente, Afework Alemu Lombebo, Tsion Mulat Tebeje

    Published 2025-01-01
    “…Significant predictors of ANC timing included women’s age (35–49 years: AHR 0.83; 95% CI: 0.72–0.95), education level (higher: AHR 1.45; 95% CI: 1.17–1.78), media exposure (yes: AHR 1.21; 95% CI: 1.05–1.39), parity (four or more children: AHR 0.81; 95% CI: 0.72–0.91), wealth status (richest: AHR 2.00; 95% CI: 1.63–2.43), desire for more children (did not want more: AHR 0.64; 95% CI: 0.54–0.77), residence (rural: AHR 1.22; 95% CI: 1.07–1.39), and religion (Islam: AHR 0.76; 95% CI: 0.64–0.89). …”
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    An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study by Julia Thomas, Antonia Lucht, Jacob Segler, Richard Wundrack, Marcel Miché, Roselind Lieb, Lars Kuchinke, Gunther Meinlschmidt

    Published 2025-01-01
    “…Recent studies using benchmark datasets and real-world social media data have demonstrated the capability of pretrained large language models in predicting suicidal ideation and behaviors (SIB) in speech and text. …”
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