The real-world association between digital markers of circadian disruption and mental health risks von Lee, Minki P., Kim, Dae Wook, Fang, Yu, Kim, Ruby, Bohnert, Amy S. B., Sen, Srijan, Forger, Daniel B.

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Imputing missing sleep data from wearables with neural networks in real-world settings von Lee, Minki P, Hoang, Kien, Park, Sungkyu, Song, Yun Min, Joo, Eun Yeon, Chang, Won, Kim, Jee Hyun, Kim, Jae Kyoung

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The Combination of Topological Data Analysis and Mathematical Modeling Improves Sleep Stage Prediction From Consumer-Grade Wearables von Lee, Minki P., Kim, Dae Wook, Mayer, Caleb, Walch, Olivia, Forger, Daniel B.

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Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable data von Kim, Dae Wook, Mayer, Caleb, Lee, Minki P, Choi, Sung Won, Tewari, Muneesh, Forger, Daniel B

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Wearable Data Assimilation to Estimate the Circadian Phase von Kim, Dae Wook, Lee, Minki P., Forger, Daniel B.

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Predicting circadian phase in community-dwelling later-life adults using actigraphy data von Mayer, Caleb, Kim, Dae Wook, Zhang, Meina, Lee, Minki P, Forger, Daniel B, Burgess, Helen J, Moon, Chooza

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A Level Set Kalman Filter Approach to Estimate the Circadian Phase and its Uncertainty from Wearable Data von Kim, Dae Wook, Lee, Minki P, Forger, Daniel B

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A Level Set Kalman Filter Approach to Estimate the Circadian Phase and its Uncertainty from Wearable Data von Kim, Dae Wook, Lee, Minki P, ger, Daniel B

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ALSM_version_1_01-25-2023_v2.zip from Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable data von Kim, Dae Wook, Mayer, Caleb, Lee, Minki P., Choi, Sung Won, Tewari, Muneesh, Forger, Daniel B.

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Solubility and clustering of ruthenium fission products in uranium dioxide as determined by density functional theory von Hong, Minki, Phillpot, Simon R., Lee, Chan-Woo, Nerikar, Pankaj, Uberuaga, Blas P., Stanek, Christopher R., Sinnott, Susan B.

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