Results for 'Aisha Deslandes'

8 found
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  1. Different Context, Similar Motives: External Influences on Motivation.Aisha Y. Malik - 2015 - American Journal of Bioethics 15 (11):26-28.
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  2. Pharmacological Evaluation of the Libyan Folk Herb Retama Raetam Seeds in Mice.Aisha N. A. Alwasia, Nora M. J. Altawirghi & Fathi M. Sherif - 2018 - International Journal of Academic Health and Medical Research (IJAHMR) 2 (11):1-6.
    Abstract: Retama raetam (RR) is a traditional medicinal plant belongs to fabaceae family which grows in North Africa and East Mediterranean region. Locally, RR is used in several diseases including diabetes mellitus and hypertension. Thus, this study aims to investigate certain behavioral and central effects of methanolic extract of RR seeds in experimental animals (male Albino adult mice of 20 – 35 gm). Three exploratory behavioral models are used in this study, open field, elevated plus maze and light-dark box models, (...)
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  3. The Ethical Value of the Inhumanity in Art A Levinasian Reading.Aisha Pagnes - 2021 - Itinera 22.
    Reality and its Shadow, a brief yet powerful essay written in 1948, is the only text where Emmanuel Levinas deals solely with the ontology of art. Already in this early text, we can see how his understanding that ethics is the ground of philosophy drives his discussion. The nature of art is therefore treated in relation to what it does, ethically, to the subject, the maker, and the viewer. Art is the “inhumanity” and “inversion” of ethics. Only philosophical criticism reintegrates (...)
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  4. Data and Afrofuturism: an emancipated subject?Aisha Paulina Lami Kadiri - 2021 - Internet Policy Review 10 (4):1-26.
    The concept of an individual, liberal data subject, who was traditionally at the centre of data protection efforts has recently come under scrutiny. At the same time, the particularly destructive effect of digital technology on Black people establishes the need for an analysis that not only considers but brings racial dimensions to the forefront. I argue that because Afrofuturism situates the Black struggle in persistent, yet continuously changing structural disparities and power relations, it offers a powerful departure point for re-imagining (...)
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  5.  41
    Breast cancer delay presentation among Libyan patients: Demographic and clinical features.Aisha A. El Ashouri - 2024 - Mediterranean Journal of Pharmacy and Pharmaceutical Sciences 4 (2):30-36.
    Globally, breast cancer is the most common cancer in women worldwide, it represents about 25.0% of all cancer cases. In developing countries, breast cancer is mainly discovered at a late stage, which has a negative impact on the prognosis. To determine the extent of, and the factors contributing to, delay in breast cancer presentation, and to evaluate the mammography screening practice in breast cancer Libyan women. A descriptive cross-sectional study was carried out on five hundred and one breast cancer patients (...)
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  6. The Elephant in the (Board) Room: The Role of Contract Research Organizations in International Clinical Research.Charles Foster & Aisha Y. Malik - 2012 - American Journal of Bioethics 12 (11):49-50.
    Multinational companies commonly and increasingly undertake their research in low and middle-income countries through commercial clinical research organizations (CROs). The involvement of these scientific middle men complicates the application of the theories of justice. We examine those complexities, and conclude that while the difficulties are not immune to analysis in terms of these theories, the theories have to be deployed in new ways in order to be useful in the new commercial world.
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  7. Analyzing the Relationship between Smoking and Drinking Patterns Using Neural Networks: A Comprehensive Feature-Based Approach.Ahmed Samir Abu Al-Hussein, Mona Ayman Abu Aisha, Iman Nahed Saeed Ahleel & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):18-25.
    This study employs a neural network to analyze the connection between smoking, drinking, and various health-related factors using a dataset of 5148 samples. Achieving an impressive 99.94% accuracy and an average training error of 0.0016, the model identifies influential factors such as serum aminotransferases, serum creatinine, sex, weight, and triglyceride levels. These findings enhance our understanding of lifestyle choices and their impact on health. This research underscores the potential of machine learning in studying complex health phenomena.
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  8.  44
    The Aftermath of the Mamasapano Encounter: A Look Into Maguindanao Internally Displaced People.Bai Putri Morayah Amil, Vivian Sinsuat-Baladsal, Wahida Kusayin, Bai Jasslyn Aisha Ibra-Ali & Juriebel Bagundang - 2024 - Psych Educ Multidisc J 17 (10):1067-1073.
    The Mamasapano Incident of January 25, 2015, marked a tragic episode in Philippine history, stemming from an operation aimed at neutralizing the suspected international terrorist, Zulkifli bin Hir, also known as Marwan. This operation, conducted by the Philippine National Police – Special Armed Forces (PNP-SAF), led to clashes resulting in casualties from both the SAF and MILF/BIFF members, as well as civilians, and the displacement of local residents. While the incident garnered national attention and spurred investigations primarily focused on the (...)
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