Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Jarad Niemi"'
Autor:
Velma K Lopez, Estee Y Cramer, Robert Pagano, John M Drake, Eamon B O'Dea, Madeline Adee, Turgay Ayer, Jagpreet Chhatwal, Ozden O Dalgic, Mary A Ladd, Benjamin P Linas, Peter P Mueller, Jade Xiao, Johannes Bracher, Alvaro J Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W Zorn, Sen Pei, Jeffrey Shaman, Teresa K Yamana, Samuel R Tarasewicz, Daniel J Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L Hill, Joshua Kaminsky, Elizabeth C Lee, Joseph C Lemaitre, Justin Lessler, Claire P Smith, Shaun Truelove, Matt Kinsey, Luke C Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T Davis, Kunpeng Mu, Ana Pastore Y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav Marathe, Akhil Sai Peddireddy, Przemyslaw Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V Prasad, Jo W Walker, Alexander E Webber, Rachel B Slayton, Matthew Biggerstaff, Nicholas G Reich, Michael A Johansson
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 5, p e1011200 (2024)
During the COVID-19 pandemic, forecasting COVID-19 trends to support planning and response was a priority for scientists and decision makers alike. In the United States, COVID-19 forecasting was coordinated by a large group of universities, companies
Externí odkaz:
https://doaj.org/article/d7c7eeeba3c3436d9f9bb67e5878ebf7
Autor:
Estee Y. Cramer, Yuxin Huang, Yijin Wang, Evan L. Ray, Matthew Cornell, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Aaron Gerding, Katie House, Dasuni Jayawardena, Abdul Hannan Kanji, Ayush Khandelwal, Khoa Le, Vidhi Mody, Vrushti Mody, Jarad Niemi, Ariane Stark, Apurv Shah, Nutcha Wattanchit, Martha W. Zorn, Nicholas G. Reich, US COVID-19 Forecast Hub Consortium
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-15 (2022)
Abstract Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Preven
Externí odkaz:
https://doaj.org/article/300e02be0bde4c32adf9ae19db234dca
Autor:
Ignacio Alvarez-Castro, Jarad Niemi
Publikováno v:
Mathematical Biosciences and Engineering, Vol 16, Iss 6, Pp 7751-7770 (2019)
Diploid organisms have two copies of each gene, called alleles, that can be separately transcribed. The RNA abundance associated to any particular allele is known as allele-specific expression (ASE). When two alleles have polymorphisms in transcribed
Externí odkaz:
https://doaj.org/article/3aa862cb1ea843a7b4defeb6863f7329
Publikováno v:
Agrosystems, Geosciences & Environment, Vol 4, Iss 2, Pp n/a-n/a (2021)
Abstract Riparian buffers can improve water quality, but watershed‐scale evaluations of riparian buffering opportunities are rare. A landscape discretization tool called riparian catchments, part of the Agricultural Conservation Planning Framework
Externí odkaz:
https://doaj.org/article/0f84b783469d467393eaf671e52db819
Autor:
Matthew Nowatzke, Luis Damiano, Fernando E Miguez, Gabe S McNunn, Jarad Niemi, Lisa A Schulte, Emily A Heaton, Andy VanLoocke
Publikováno v:
Environmental Research Letters, Vol 17, Iss 11, p 114010 (2022)
Process-based agroecosystem models are powerful tools to assess performance of managed landscapes, but their ability to accurately represent reality is limited by the types of input data they can use. Ensuring these models can represent cropping fiel
Externí odkaz:
https://doaj.org/article/6c0421d01ecd4a35b8726e0b034bd5b1
Autor:
Nathaniel Garton, Jarad Niemi
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0218375 (2019)
Interest in modeling contemporary crime trends, a task that has historically been considered valuable to the public, researchers, and policymakers, is resurging. Advancements in criminology have made it clear that understanding crime trends necessari
Externí odkaz:
https://doaj.org/article/a58f044307b34da197d8e904a34708c2
Publikováno v:
Remote Sensing, Vol 12, Iss 5, p 827 (2020)
Remote sensing observations that vary in response to plant growth and senescence can be used to monitor crop development within and across growing seasons. Identifying when crops reach specific growth stages can improve harvest yield prediction and q
Externí odkaz:
https://doaj.org/article/00b5386426084b73b83f06053c9abf7b
Autor:
Cole Dutter, Luis A. Damiano, Jarad Niemi, Bradley A. Miller, Lisa A. Schulte, Matt Liebman, Matthew J. Helmers, Rick M. Cruse, Marshall D. McDaniel
Publikováno v:
Field Crops Research. 296:108905
Autor:
Zachary P. Simpson, Jim Jordahl, Andrea Leptin, Fernando E. Miguez, Jarad Niemi, Lisa A. Schulte, Michael L. Thompson, Sebastián H. Villarino, Marshall D. McDaniel
Publikováno v:
Geoderma. 430:116307
Publikováno v:
Journal of Agricultural, Biological and Environmental Statistics. 26:289-305
Removal and distance modeling are two common methods to adjust counts for imperfect detection in point-count surveys. Several recent articles have formulated models to combine them into a distance-removal framework. We observe that these models fall