Publications by authors named "Hao-Yuan Song"

We predicted peculiar ghost surface phonon polaritons in biaxially hyperbolic materials, where the two hyperbolic principal axes lie in the plane of propagation. We took the biaxially-hyperbolic α-MoO as one example of the materials to numerically simulate the ghost surface phonon polaritons. We found three unique ghost surface polaritons to appear in three enclosed wavenumber-frequency regions, respectively.

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  • The study examines how reflective beams behave at the interface of graphene/hBN metamaterials, focusing on the Goos-Hänchen (GH) and Imbert-Fedorov (IF) shifts.
  • Results indicate that the GH shift is greatly enhanced when light hits at a critical angle close to the Brewster angle, showing high reflectivity.
  • The research suggests that by adjusting factors like chemical potential and angle, the maximum shifts can be tuned, opening new possibilities for innovative nano-optical device development.
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  • The research investigated the impact of polypharmacy, defined as taking five or more medications, on gait performance and fall risks in older adults over a five-year period.
  • Results indicated that a higher number of medications was linked to poorer gait performance, faster decline in gait abilities, and increased incidence of falls, even after adjusting for age and sex.
  • Gait impairments, specifically in stride and step measurements, were found to mediate the relationship between the number of medications and fall incidence.
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  • * This study focused on using artificial neural network (ANN) models to forecast LOS for patients with coronary atherosclerosis (CAS), heart failure (HF), and acute myocardial infarction (AMI) at a hospital in Taipei, Taiwan.
  • * The ANN models showed an accuracy of 88% to nearly 90% for predicting LOS of CAS patients, while predictions for AMI and HF patients were less accurate, ranging from about 64% to 67%.
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