Yoontaik Hong

ORCID: 0009-0002-6845-0596
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • FOXO transcription factor regulation
  • Age of Information Optimization
  • Infant Nutrition and Health
  • Muscle Physiology and Disorders
  • Bone Metabolism and Diseases
  • Heat shock proteins research
  • Bone and Dental Protein Studies

Shanghai Ninth People's Hospital
2021

Shanghai Jiao Tong University
2021

The high prevalence of malocclusion and dentofacial malformations means that the demand for orthodontic treatments has been increasing rapidly. As biological basis treatment, mechanism mechanical force–induced alveolar bone remodeling during tooth movement (OTM) become key scientific issue orthodontics. It demonstrated mesenchymal stem cells (BMSCs) are crucial exhibit sensing properties. Mechanical force can promote osteoblastic differentiation BMSCs osteogenesis, but factor mediates...

10.1177/00220345211021534 article EN Journal of Dental Research 2021-06-22

Abstract Osteoporosis is a common skeletal disease that results in an increased risk of fractures. However, there no definitive cure, warranting the development potential therapeutic agents. 3′-Sialyllactose (3′-SL) human milk regulates many biological functions. its effect on bone metabolism remains unknown. This study aimed to investigate molecular mechanisms underlying 3′-SL homeostasis. Treatment marrow stromal cells (hBMSCs) with enhanced osteogenic differentiation and inhibited...

10.1038/s42003-024-05796-4 article EN cc-by Communications Biology 2024-01-19

In this paper, we introduce Hunyuan-Large, which is currently the largest open-source Transformer-based mixture of experts model, with a total 389 billion parameters and 52 activation parameters, capable handling up to 256K tokens. We conduct thorough evaluation Hunyuan-Large's superior performance across various benchmarks including language understanding generation, logical reasoning, mathematical problem-solving, coding, long-context, aggregated tasks, where it outperforms LLama3.1-70B...

10.48550/arxiv.2411.02265 preprint EN arXiv (Cornell University) 2024-11-04
Coming Soon ...