Publications by authors named "Hee-Ju Ahn"

Article Synopsis
  • Biodegradable polymers, specifically PVA-PCD, are being developed as eco-friendly substitutes for traditional plastics, focusing on their environmental advantages.
  • The PVA-PCD biopolymers were created by chemically linking polyvinyl alcohol with cardanol-derived polyols, and their properties were analyzed using various methods like FT-IR and TGA to assess their structure and stability.
  • Results showed that while increasing crosslinking enhances the material's thermal stability and makes it more hydrophobic, it also increases brittleness and decreases swelling capacity, highlighting their potential for sustainable applications like biodegradable packaging.
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Article Synopsis
  • The study addresses the challenges of placing dental implants correctly due to different shapes of the mandible, which can lead to complications like lingual perforations.
  • By analyzing 96 cone-beam CT images, researchers classified mandibular shapes into U, C, and P types, finding that U-shaped mandibles are the most prone to perforations.
  • The results showed U, P, and C shapes appear in 34.6%, 28.9%, and 36.5% of cases respectively, with significant differences in shape related to gender, age, and tooth type, highlighting the importance of understanding these anatomical variations for safer dental procedures.
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With the growing demand for orthognathic surgery and other facial treatments, the accurate identification of anatomical landmarks has become crucial. Recent advancements have shifted towards using three-dimensional radiologic analysis instead of traditional two-dimensional methods, as it allows for more precise treatment planning, primarily relying on direct identification by clinicians. However, manual tracing can be time-consuming, mainly when dealing with a large number of patients.

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Multi-dimensional facial imaging is increasingly used in hospital clinics. A digital twin of the face can be created by reconstructing three-dimensional (3D) facial images using facial scanners. Therefore, the reliability, strengths, and weaknesses of scanners should be investigated and approved; Methods: Images obtained from three facial scanners (RayFace, MegaGen, and Artec Eva) were compared with cone-beam computed tomography images as the standard.

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