Resultats de la cerca - Heejun Kim

Internet-Based Social Connections of Black American College Students in Pre–COVID-19 and Peri–COVID-19 Pandemic Periods: Network Analysis per Eun Lee, Heejun Kim, Yildiz Esener, Terika McCall

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Seeking and Providing Social Support on Twitter for Trauma and Distress During the COVID-19 Pandemic: Content and Sentiment Analysis per Yildiz Esener, Terika McCall, Adnan Lakdawala, Heejun Kim

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Association between long COVID and nonsteroidal anti-inflammatory drug use by patients with acute-phase COVID-19: A nationwide Korea National Health Insurance Service cohort study. per Ye-Seul Lee, Heejun Kim, Sunoh Kwon, Tae-Hun Kim

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Experimental Verification of an Automatic Leveling Approach for PPVC Module Lifting Frames Using a Scaled Testbed per Hyojae Kang, Sunwoo Ahn, Kunwoo Son, Heejun Kim, Min-Sung Kang

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Quantum coherence and interference of a single moiré exciton in nano-fabricated twisted monolayer semiconductor heterobilayers per Haonan Wang, Heejun Kim, Duanfei Dong, Keisuke Shinokita, Kenji Watanabe, Takashi Taniguchi, Kazunari Matsuda

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Chlorophyll-a Prediction Based on Machine Learning and Satellite Data in the South Sea of Korea per Heejun Kim, Bong-Guk Kim, Kuk Jin Kim, Tae-Ho Kim, Hye-Kyeong Shin, Jin Hyun Han

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Emissions of mantle helium and abiotic methane at newly discovered black smokers along the Central Indian ridge (12°S–16°S) per Heejun Kim, Jungpyo Hong, Wonnyon Kim, Jonguk Kim, Guebuem Kim, Urumu Tsunogai, Naoto Takahata, Yuji Sano, Hyunwoo Lee

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Longitudinal and Seasonal Variations of the Electron Temperature and Density in the Low-Latitude Topside Ionosphere Observed by KOMPSAT-1 per Heejun Kim, Sun Mie Park, Jae-Jin Lee, Ensang Lee, Kyoung-Wook Min, Wonyong Han, Uk-Won Nam, Ho Jin

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Latent magmatism beneath the Korean Peninsula caused by asthenosphere upwelling per Heejun Kim, Hyunwoo Lee, Jung-Hun Song, Wonhee Lee, Jungpyo Hong, Takanori Kagoshima, Naoto Takahata, Yuji Sano, Tobias P. Fischer

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Mantle-Derived Helium Emission near the Pohang EGS Site, South Korea: Implications for Active Fault Distribution per Heejun Kim, Hyunwoo Lee, Jaemin Lee, Hyun A. Lee, Nam Chil Woo, Youn-Soo Lee, Takanori Kagoshima, Naoto Takahata, Yuji Sano

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Using machine learning techniques for early prediction of tracheal intubation in patients with septic shock: a multi-center study in South Korea per Ji Han Heo, Taegyun Kim, Tae Gun Shin, Gil Joon Suh, Woon Yong Kwon, Hayoung Kim, Heesu Park, Heejun Kim, Sol Han, the Korean Shock Society

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