Results for 'Awni Etaywe'

4 found
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  1.  27
    Heteroglossia and Identifying Victims of Violence and Its Purpose as Constructed in Terrorist Threatening Discourse Online.Awni Etaywe - 2023 - International Journal for the Semiotics of Law - Revue Internationale de Sémiotique Juridique 36 (2):907-937.
    Unlike one-to-one threats, terrorist threat texts constitute a form of violence and a language crime that is committed in a complex context of public intimidation, and are communicated publicly and designed strategically to force desired sociopolitical changes [19]. Contributing to law enforcement and threat assessors’ fuller understanding of the discursive nature of threat texts in terrorism context, this paper examines how language is used dialogically to communicate threats and to construct both the purpose of threatened actions and the victims. The (...)
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  2.  4
    Brain Death Between Jurisprudence and Medical Innovation.Awny Ahmed Massarwh - forthcoming - Evolutionary Studies in Imaginative Culture:442-458.
    This study aims to explore the multiple concepts of brain death through jurisprudence and medical innovation. The study focuses on understanding the interaction between these concepts and analyzing the challenges and problems they face. To analyze the multiple concepts of brain death and provide a comprehensive and balanced understanding of this issue from different perspectives. And also to know the ethical and legal challenges associated with determining brain death. The study included the jurisprudential, medical, ethical and legal community interested in (...)
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  3. Artificial Neural Network for Predicting Car Performance Using JNN.Awni Ahmed Al-Mobayed, Youssef Mahmoud Al-Madhoun, Mohammed Nasser Al-Shuwaikh & Samy S. Abu-Naser - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 4 (9):139-145.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...)
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  4. Uṣūl al-falsafah al-Firʻawnīyah.ʻAbd al-Raḥīm Karīmī - 2002 - al-Qāhirah: Mīrīt lil-Nashr wa-al-Maʻlūmāt.