Results for 'Mansoureh Fahimi Hnazaee'

7 found
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  1.  22
    Semantic Features Reveal Different Networks During Word Processing: An EEG Source Localization Study.Mansoureh Fahimi Hnazaee, Elvira Khachatryan & Marc M. Van Hulle - 2018 - Frontiers in Human Neuroscience 12.
  2.  21
    New perspectives on women's reproductive rights.Mansoureh Moaya, Shadab Shahali, Minoor Lamyian, Alireza Milanifar & Seyed-Mohammad Azin - 2024 - Bioethics 38 (6):585-586.
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    Factors affecting nursing error communication in intensive care units: A qualitative study.Tahereh Najafi Ghezeljeh, Mansoureh Ashghali Farahani & Fatemeh Kafami Ladani - 2021 - Nursing Ethics 28 (1):131-144.
    Background: Error communication includes both reporting errors to superiors and disclosing their consequences to patients and their families. It significantly contributes to error prevention and safety improvement. Yet, some errors in intensive care units are not communicated. Objectives: The aim of the present study was to explore factors affecting error communication in intensive care units. Design and participants: This qualitative study was conducted in 2019. Participants were 17 critical care nurses purposively recruited from the intensive care units of 2 public (...)
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  4.  29
    Prediction of Perceived Stress Based on Self-concept and Emotional Intelligence in Females with HIV/AIDS.Maryam Nasir Dehghan, Mansoureh Karimzadeh, Robab Teymouri & Mohammad Rostami - 2019 - Postmodern Openings 10 (1):1-20.
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    Policy advice and best practices on bias and fairness in AI.Jose M. Alvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, Carlos Mougan, Ioanna Papageorgiou, Paula Reyero, Mayra Russo, Kristen M. Scott, Laura State, Xuan Zhao & Salvatore Ruggieri - 2024 - Ethics and Information Technology 26 (2):1-26.
    The literature addressing bias and fairness in AI models (fair-AI) is growing at a fast pace, making it difficult for novel researchers and practitioners to have a bird’s-eye view picture of the field. In particular, many policy initiatives, standards, and best practices in fair-AI have been proposed for setting principles, procedures, and knowledge bases to guide and operationalize the management of bias and fairness. The first objective of this paper is to concisely survey the state-of-the-art of fair-AI methods and resources, (...)
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  6.  30
    Moral neutralization: Nurses’ evolution in unethical climate workplaces.Hamideh Hakimi, Soodabeh Joolaee, Mansoureh Ashghali Farahani, Patricia Rodney & Hadi Ranjbar - 2020 - BMC Medical Ethics 21 (1):1-10.
    Introduction Good quality of care is dependent on nurses’ strong clinical skills and moral competencies, as well. While most nurses work with high moral standards, the moral performance of some nurses in some organizations shows a deterioration in their moral sensitivity and actions. The study reported in this paper aimed to explore the experiences of nurses regarding negative changes in their moral practice. Materials and methods This was a qualitative study utilizing an inductive thematic analysis approach, which was conducted from (...)
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  7.  21
    Development and Psychometric Evaluation of Family Caregivers’ Hardiness Scale: A Sequential-Exploratory Mixed-Method Study.Lida Hosseini, Hamid Sharif Nia & Mansoureh Ashghali Farahani - 2022 - Frontiers in Psychology 13.
    ObjectiveCaring for patients with Alzheimer’s disease is a stressful situation and an overwhelming task for family caregivers. Therefore, these caregivers need to have their hardiness empowered to provide proper and appropriate care to these older adults. From the introduction of the concept of hardiness, few studies have been conducted to assess the hardiness of caregivers of patients with AD. Presumably, one reason for this knowledge gap is the lack of a proper scale to evaluate hardiness in this group. This study (...)
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