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Minkyoung Kim

Researcher at Seoul National University

Publications -  95
Citations -  1054

Minkyoung Kim is an academic researcher from Seoul National University. The author has contributed to research in topics: Sea ice & Computer science. The author has an hindex of 17, co-authored 80 publications receiving 854 citations. Previous affiliations of Minkyoung Kim include Seoul National University Hospital & Electronics and Telecommunications Research Institute.

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Journal ArticleDOI

The role of p300 histone acetyltransferase in UV-induced histone modifications and MMP-1 gene transcription.

TL;DR: The results suggest that p300HAT plays a critical role in the transcriptional regulation of MMP-1 by UV, and overexpression of p300 increased the basal and UV-induced M MP-1 promoter activity.
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UV modulation of subcutaneous fat metabolism.

TL;DR: It is shown that SC fat tissue in chronically sun-damaged skin contains less fat than naturally aged skin, and even a single UV exposure of human skin reduced lipid synthesis in the underlying SCfat tissue through transcriptional regulation of lipogenic enzymes and cytokines.
Journal ArticleDOI

The effects of service interactivity on the satisfaction and the loyalty of smartphone users

TL;DR: This study suggested that the smartphone users' continuance intention to use a service can be different according to their smartphones' operating systems, and found that the users may exhibit noticeable differences in post adoption behavior.
Journal ArticleDOI

Modeling stochastic processes in disease spread across a heterogeneous social system.

TL;DR: A new diffusion framework for stochastic processes is proposed, which models disease spread across metapopulations by incorporating human mobility as topological pathways in a heterogeneous social system, and applies Bayesian inference with the stoChastic Expectation–Maximization algorithm to quantify underlying diffusion dynamics in terms of exogeneity and endogeneity.
Proceedings Article

Event Diffusion Patterns in Social Media

TL;DR: This paper proposes a method for identifying real-world events on social media, and presents observations about event diffusion patterns across diverse media types such as news, blogs, and social networking sites.