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  1. 841

    homeRNA self-blood collection enables high-frequency temporal profiling of presymptomatic host immune kinetics to respiratory viral infection: a prospective cohort studyResearch in... by Fang Yun Lim, Hannah G. Lea, Ashley M. Dostie, Soo-Young Kim, Tammi L. van Neel, Grant W. Hassan, Meg G. Takezawa, Lea M. Starita, Karen N. Adams, Michael Boeckh, Joshua T. Schiffer, Ollivier Hyrien, Alpana Waghmare, Erwin Berthier, Ashleigh B. Theberge

    Published 2025-02-01
    “…Funding: This study was funded by R35GM128648 to ABT for in-lab developments of homeRNA and data analysis, a Packard Fellowship for Science and Engineering from the David and Lucile Packard Foundation to ABT for the study execution, sample collection, and analysis, and R01AI153087 to AW for data analysis.…”
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    Time-series forest age estimation in Xinjiang based on forest disturbance and recovery detection by Lili Zhai, Mei Zan, Mao Ye, Jia Zhou, Cong Xue, Shunfa Yang, Yuntong Liu

    Published 2025-01-01
    “…In 1991, the age of forests in Xinjiang was estimated utilizing the Random Forest (RF) model, incorporating both forest inventory data and remote sensing data. Utilizing Landsat Time Series Stacked (LTSS) Data from 1991 to 2022, the LandTrendr(LT) algorithm was applied to identify forest disturbance and recovery events from 1992 to 2022 using the Google Earth Engine (GEE) platform. …”
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  4. 844

    Fine-scale satellite-based monitoring of temperature and vegetation cover in microclimates, distribution ranges, and landscape connectivity for Neurergus kaiseri (Kaiser’s mountain... by Peyman Karami, Sajad Tavakoli, Mina Esmaeili

    Published 2025-01-01
    “…Using Landsat 8 in Google Earth Engine (GEE), we calculated annual average land surface temperature (LST) and normalized difference vegetation index (NDVI) from 2013 to 2024. …”
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    Digital transformation as an adaptation factor for personnel to realise productive capacity in a pandemic by S. V. Koblov

    Published 2021-11-01
    “…This solved the problems identified, improving the efficiency of staff working remotely in a pandemic and the manageability of staff across the enterprise as a whole.…”
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