Publications by authors named "- Semiha Dede"

The aim of this study was to determine the attitudes of medical trainees and interns towards ageism and the factors that influence their attitudes. The population of the descriptive and cross-sectional study consisted of 165 trainees and 495 interns, a total of 660 medical students. The Turkish version of the Fraboni Scale of Ageism was used to evaluate attitudes toward older adult among medical students.

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Introduction: End-stage kidney disease patients face a critical decision regarding kidney replacement therapy options, which include kidney transplantation, hemodialysis, or peritoneal dialysis (PD). This study aims to evaluate the impact of nurse-led education (NE) alone vs. NE combined with peer support on the patients' decision over PD treatment in chronic kidney disease patients.

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Unlabelled: For the past few years, the synthesis of zinc oxide (ZnO) and other metal oxide nanoparticles has been carried out using plant tissues, extracts, and other plant parts. The green synthesis of zinc oxide nanoparticles has many advantages over other processes, and the primary areas of application are drug delivery, food additives, and surface coatings. The use of nanoparticles as an alternative antimicrobial agent in the health and biomedical sectors has increased significantly in recent years.

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Article Synopsis
  • This study analyzed the 100 most cited articles on Cubital Tunnel Syndrome (CuTS) using bibliometric methods to gather data like citations, authors, and publication details.
  • The articles showed citation counts between 28 and 183, with the Journal of Hand Surgery - American Volume publishing the most articles and the USA contributing the majority.
  • The findings highlight surgical treatment as the primary focus of the articles and aim to guide future research on CuTS.
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Magnetic resonance (MR)-guided radiation therapy (RT) is enhancing head and neck cancer (HNC) treatment through superior soft tissue contrast and longitudinal imaging capabilities. However, manual tumor segmentation remains a significant challenge, spurring interest in artificial intelligence (AI)-driven automation. To accelerate innovation in this field, we present the Head and Neck Tumor Segmentation for MR-Guided Applications (HNTS-MRG) 2024 Challenge, a satellite event of the 27th International Conference on Medical Image Computing and Computer Assisted Intervention.

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