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    <loc>https://www.xli-lab.com/research</loc>
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    <lastmod>2025-09-04</lastmod>
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      <image:title>Research - Raw MRI image</image:title>
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      <image:title>Research - Make it stand out</image:title>
      <image:caption>Figure 1. The ability of wearable-based machine learning models to predict poor performance on cognitive tests in the NHANES (Sakal et al. 2024, published in npj Aging)</image:caption>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/629eab4b036e7b6e5870ab13/346df5b4-4bec-4d4a-bb1b-2632e858db28/c2.png</image:loc>
      <image:title>Research - Make it stand out</image:title>
      <image:caption>Figure 2. Associations of pre-bedtime physical activity timing with poor sleep quality among adults in the UK Biobank (Sakal et al. 2025, published in SLEEP).</image:caption>
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      <image:title>Research - Raw MRI image</image:title>
      <image:caption>Model for multi-modal survival prediction</image:caption>
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      <image:title>Research - Make it stand out</image:title>
      <image:caption>Figure 1. Activity profile showing minute-by-minute physical activity counts for a week. Data were obtained from wrist Actigraph.</image:caption>
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      <image:caption>Figure 2. Statistical inference evaluation of mental health assessment results. White regions indicate no significant effects, red indicates significantly positive effects, and blue indicates significantly negative effects, while the darkness of the colors represents the magnitude of the effects.</image:caption>
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      <image:title>Research</image:title>
      <image:caption>25 skeletal joints captured by a Kinect sensor</image:caption>
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      <image:title>Research</image:title>
      <image:caption>Timed Up and Go Test</image:caption>
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      <image:caption>The estimated coefficient functions of vertical velocity for different joints. Each curve represents the estimated coefficient function of a joint and is color coded based on its position of body skeleton.</image:caption>
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      <image:title>Research - Raw MRI image</image:title>
      <image:caption>The 25 joints of human skeleton captured by Kinect sensor</image:caption>
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      <image:title>Research - Heatmap</image:title>
      <image:caption>Instruction of Timed Up and Go Test</image:caption>
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      <image:title>Research - MRI with Heatmap</image:title>
      <image:caption>The estimated coefficient functions of vertical velocity for different.</image:caption>
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      <image:title>Research - Raw MRI image</image:title>
      <image:caption>Basic model framwork</image:caption>
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      <image:title>Research - Make it stand out</image:title>
      <image:caption>The plots show the 2D relationship between sleep efficiency and physical activity level within one week. Large coefficient value corresponds to better sleep quality.</image:caption>
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    <lastmod>2022-06-15</lastmod>
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      <image:title>Software - Make it stand out</image:title>
      <image:caption>This package applies a Hidden Markov Model (HMM) based algorithm for Sleep/Wake Identification using actigraphy. The accelerometer data should be in the summary activity count format, such as activity counts every thirty seconds.</image:caption>
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      <image:caption>This package implements the Penalized Multi-Band Learning(PML) algorithm for circadian rhythm analysis and daily activity pattern characterization using actigraphy. This package also includes functions for building interactive visualization tools.</image:caption>
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      <image:title>Members - Dr. LI Xinyue</image:title>
      <image:caption>Dr. LI Xinyue Dr Li received her PhD in Biostatistics from Yale University in 2019. Prior to Yale University, she spent one year at Peking University and three years at the University of Chicago, receiving her B.A. and M.S. in Statistics from the University of Chicago. Her research interests are statistical methods for wearable device data, electronic health records, large population studies, genetics and precision medicine.</image:caption>
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    <lastmod>2022-06-07</lastmod>
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    <lastmod>2025-11-08</lastmod>
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