Publications by authors named "T W Heo"
Light metal-based nanomaterials are widely used for energy storage due to their high energy density and surface-to-volume ratio. However, their high reactivity is paradoxically both the source of advantageous properties and a hurdle to the fabrication of stable nanostructures. Here, we demonstrate the formation of nanoporous Mg via chemical redox agent-driven dealloying, which ensures minimized surface passivation and results in fine nanostructures with <50 nm of interconnected metallic ligament despite the labile chemical properties of Mg.
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- This study introduces a nanohybrid designed to enhance both photothermal and photodynamic effects for treating cancer, combining various polymers and gold nanoparticles.
- The unique assembly method produces uniform nanoparticles quickly and effectively, showing potent results when activated by a single near-infrared wavelength.
- The nanohybrid not only inhibits tumor growth and boosts immune responses but also shows improved efficacy when paired with immune checkpoint inhibitors, making it a promising option for combined cancer therapies.
Chlorophyll-a (Chl-a) concentrations, a key indicator of algal blooms, were estimated using the XGBoost machine learning model with 23 variables, including water quality and meteorological factors. The model performance was evaluated using three indices: root mean square error (RMSE), RMSE-observation standard deviation ratio (RSR), and Nash-Sutcliffe efficiency. Nine datasets were created by averaging 1 hour data to cover time frequencies ranging from 1 hour to 1 month.
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- - The study explores using non-human primates (NHPs) to understand cocaine self-administration while addressing ethical concerns and employing AI methods for data analysis due to challenges in acquiring NHPs for research.
- - Researchers used a model called Random Forest to predict cocaine dependence in marmosets, achieving a high accuracy with an area under the curve (AUC) of 0.92, and identified key variables influencing dependence using SHapley Additive exPlanations (SHAP).
- - Additionally, a separate algorithm was developed for analyzing PET images related to dopamine transporter availability, achieving impressive segmentation accuracy of 0.97, highlighting AI's effectiveness for this type of biomedical imaging in primate studies.
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- Perilla, a popular leafy vegetable in South Korea, is gaining global attention as part of K-Food, prompting research into its genetic and phenotypic diversity.
- The study analyzed 80 Perilla accessions from South Korea, using various data types including SSR markers, to understand their genetic relationships and classify them into different clusters.
- Key findings included the identification of 314 alleles, confirmation of consistent genetic clustering, and the selection of 10 SSR markers linked to important traits, aiming to aid the development of new Perilla cultivars for breeding programs.