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All Journal International Journal of Engineering, Science and Information Technology Indonesian Journal Health Science and Medicine
Ali, Ammar Abdulkhaleq
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Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Veterinary

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Mastectomy Patients’ Knowledge Level about Breast Lymphedema Prevention Kamil, Abbas Hamid; Mrahib , Ayat Ibrahim; Ali, Ammar Abdulkhaleq
Indonesian Journal on Health Science and Medicine Vol. 2 No. 1 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijhsm.v2i1.159

Abstract

Background: Breast cancer-related lymphedema (BCRL) is a prevalent and debilitating complication following breast cancer treatment, significantly impairing patients’ quality of life. Specific Background: Despite its impact, prevention strategies are often underemphasized in post-mastectomy care. Knowledge Gap: Limited patient education and awareness about BCRL preventive measures hinder early intervention. Aim: This study aimed to assess the knowledge level of mastectomized patients regarding BCRL prevention. Methods: A descriptive study was conducted using non-probability sampling at Baqubah Teaching Hospital's Oncology Ward. Data were collected through a structured instrument comprising socio-demographic, clinical, and knowledge-related items and analyzed using descriptive and inferential statistics. Results: Findings revealed a mean knowledge score of 2.26, indicating that the majority of participants had a moderate understanding of BCRL preventive measures. Novelty: This study highlights a critical need for proactive educational interventions targeted at mastectomized patients, emphasizing prevention rather than post-onset management. Implications: Integrating continuous patient education into nursing practice is essential to enhance knowledge and reduce the incidence of BCRL, ultimately improving long-term patient outcomes. Highlights: Early education on lymphedema prevention is crucial post-mastectomy. Most patients demonstrated only moderate knowledge levels. Nurses play a key role in ongoing patient education. Keywords: Breast Cancer, Lymphedema, Prevention, Patient Education, Mastectomy
Design of Ethical AI Frameworks for Sustainable and Adaptive Energy Management Systems Humadi, Mustafa; Abbas, Haider Hadi; Hilou, Hassan Waryoush; Najm, Nahlah. M. A. D.; Ali, Ammar Abdulkhaleq; Batumalay, M.
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1288

Abstract

The integration of Artificial Intelligence (AI) in Energy Management Systems changed completely how sustainable infrastructure operates?and is guarded. But the growing independence of AI decision-making presents some serious ethical questions about?fairness, transparency, and accountability. The article introduces a new framework with Ethical AI for Sustainable and Adaptive Energy Management Systems (EAI-SEM) that is designed to combine functional (re)configuration for operational control and ethical governance in centralized: smart buildings and?decentralized: nano-grid settings. The approach incorporates deep reinforcement learning for adaptive control, federated learning for privacy-preserving model updates, and an?integrated Ethics Verification Module for a dynamic assessment of privacy-conformance levels. In experimental simulations over 30-day operation of the smart building and 10-rounds of federated training of the nano-grid, unjust fairness deviation and explainability of the system experienced enhancements, which also indicated?the reduction of carbon dioxide emissions. The?study demonstrated that ethical protocols can be included without impacting on computational efficiency and system responsiveness. Additionally, the federated structure facilitated decentralized ethical responsibility across different actors and thus allowed for the scalable?implementation. The authors verify the possibility of integrating ethics into the computational core of?intelligent energy systems, near from auditing static policies, towards dynamic ethical choices. In the future the process innovation work could be applied to deployments in other infrastructure systems like water?systems and mobility systems, and it provides a reproducible model for the embedding of normative reasoning into AI for infrastructure.
Co-Authors Abbas, Haider Hadi Batumalay, M. Hilou, Hassan Waryoush Humadi, Mustafa Kamil, Abbas Hamid Mrahib , Ayat Ibrahim Najm, Nahlah. M. A. D.