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Kyoung Hee

As seen in: Frontiers, MDPI
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Articles

Long-Term Survival Prediction Model for Elderly Community Members Using a Deep Learning Method

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By Kyoung Hee Cho, Kwang-Man Ko, Kyoung Hee, Jong-Min Paek
| MDPI
1. Introduction Population aging is a major problem worldwide, including in Korea. According to the future population projections of Statistics Korea, this country will become a super-aged society by 2025 as the elderly population comprises 20.6% of the total population [1]; Korea is the country with the fastest aging rate in the world [2]. Population aging also affects economic growth due to a decrease in the productive workforce.
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Effect of a Microalgae Facade on Design Behaviors: A Case Study with Architecture Students

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By Kathryn Hamilton Warren, Kyoung Hee Kim, Julie Milovanovic, Kyoung Hee
| MDPI
Open AccessArticle by Kathryn Warren , Julie Milovanovic and Kyoung Hee Kim * School of Architecture, University of North Carolina at Charlotte, Charlotte, NC 28223, USA * Author to whom correspondence should be addressed.
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Identification of GA20ox2 as a target of ATHB2 and TCP13 during shade response

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By Le Thi, Kyoung Hee
| Frontiers
Choong-Ill Cheon1*, Ora Son1, Chaoyue Zhang1, Xiaoyu Yang1, Le T. Duc1, Yoon-Sun Hur2, Kyoung Hee Nam1, Soon-Young Choi1 and Sunghan Kim1* 1Sookmyung Women's University, Republic of Korea 2Yonsei University, Republic of Korea The final, formatted version of the article will be published soon.
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