Earticle

Post-Training Quantization (PTQ), a method for model quantization without the need for retraining, is under active investigation for the deployment of real-time human pose estimation techniques on resourceconstrained edge devices. However, conventional PTQ techniques exhibit a critical limitation when applied to the SimCC output format utilized by the RTMPose model, leading to severe performance degradation due to the high sensitivity of its coordinate representation. This study proposes an optimization framework to overcome this challenge by systematically identifying optimal quantization targets through a Singular Value Decomposition (SVD)-based sensitivity analysis and by correcting the distorted output distribution via realtime post-processing. Experimental results demonstrate that the proposed framework achieves a 1.56-fold model compression while successfully retaining 88.8% of the accuracy of the original FP32 model. This research is anticipated to significantly enhance the practical deployment of models with sensitive output architectures, such as RTMPose, thereby contributing to a wide range of applications in real-time human pose estimation.

This study aimed to investigate awareness, attitudes, and perspectives on precision medicine among health professionals in Koreaand to identify issues that need to be addressed before implementing precision medicine. Mixed methods research was applied. For qualitative research, a semi-structured focus group interview was conducted with six health professionals. For quantitativeresearch, a self-reported survey was administered. A total of 542 health professionals participated in the survey, and 526completed the entire questionnaire. Health professionals showed positive attitudes toward precision medicine. About 95?96% ofrespondents agreed that precision medicine will be effective in treatment and precise diagnosis, and 69.9% reported that theywould participate as study subjects. Meanwhile, they expressed concerns regarding educating patients and health professionals inprecision medicine and developing research and data sharing infrastructure. Also, they emphasized the importance of developingprecision medicine in an equitable way. Despite varying levels of awareness of precision medicine, the health professionals expresseda willingness to engage in precision medicine research, and recommended that health professionals work closely with policymakersto design precision medicine in a way that can be effectively adopted. Health professionals showed had a positive, butcautious, attitude toward precision medicine. The results of this study suggest areas to be addressed before ushering in precisionmedicine in Korea.

A novel nanofabrication process has been developed using two-photon crosslinking (TPC) for the fabrication of three-dimensional (3D) SiCN ceramic microstructures applicable to high functional 3D devices, which can be used in harsh working environments requiring a high temperature, a resistance to chemical corrosion, as well as tribological properties. After sequential processes: TPC and pyrolysis, 3D ceramic microstructures are obtained. However, large shrinkage due to low-ceramic yield during the pyrolysis is a serious problem to be solved in the precise fabrication of 3D ceramic microstructures. In this work, silica nanoparticles were employed as a filler to reduce the amount of shrinkage. In particular, the ceramic microstructures containing 40 wt% silica nanoparticles exhibited relatively isotropic shrinkage owing to its sliding free from the substrate during pyrolysis.