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Teaching death, spirituality, and palliative care to university students: Novel pedagogical approach.

Palliat Support Care

January 2025

Department of Theology and Religious Education, College of Liberal Arts, Manila, Philippines.

Teaching death, spirituality, and palliative care equips students with critical skills and perspectives for holistic patient care. This interdisciplinary approach fosters empathy, resilience, and personal growth while enhancing competence in end-of-life care. Using experiential methods like simulations and real patient interactions, educators bridge theory and practice.

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Objectives: People with life-limiting diseases, who are no longer receiving active or curable treatment, often state their preferred place of care and death as the home. This requires coordinating a multidisciplinary approach, using available health and social care services to synchronize care. Family caregivers are key to enabling home-based end-of-life support; however, the 2 elements that facilitate success - coordination and family caregiver - are not necessarily associated as being intertwined or one and the same.

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Proximal humeral fractures (PHF), ranking as the third most common osteoporotic fractures, pose a significant challenge in management. With a rising incidence in an aging population, controversy surrounds surgical versus nonoperative treatments, particularly for displaced 3- and 4-part fractures in older patients. Locking plates (LP) and proximal intramedullary nails (PHN) are primary choices for surgical intervention, but both methods entail complications.

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Gastric cancer continues to be a leading global health concern, with current therapeutic approaches requiring significant improvement. While the disruption of iron metabolism in the advancement of gastric cancer has been well-documented, the underlying regulatory mechanisms remain largely unexplored. Additionally, the complement C5a-C5aR pathway has been identified as a crucial factor in gastric cancer development.

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Introduction: Cyber situational awareness is critical for detecting and mitigating cybersecurity threats in real-time. This study introduces a comprehensive methodology that integrates the Isolation Forest and autoencoder algorithms, Structured Threat Information Expression (STIX) implementation, and ontology development to enhance cybersecurity threat detection and intelligence. The Isolation Forest algorithm excels in anomaly detection in high-dimensional datasets, while autoencoders provide nonlinear detection capabilities and adaptive feature learning.

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