Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Julia Sullivan"'
Autor:
Peder Engelstad, Catherine S. Jarnevich, Terri Hogan, Helen R. Sofaer, Ian S. Pearse, Jennifer L. Sieracki, Neil Frakes, Julia Sullivan, Nicholas E. Young, Janet S. Prevéy, Pairsa Belamaric, Jillian LaRoe
Publikováno v:
PLoS ONE, Vol 17, Iss 2 (2022)
Narrowing the communication and knowledge gap between producers and users of scientific data is a longstanding problem in ecological conservation and land management. Decision support tools (DSTs), including websites or interactive web applications,
Externí odkaz:
https://doaj.org/article/d9f1566f36d242c0a054bccef5409a76
Autor:
Nicholas E Young, Catherine S Jarnevich, Helen R Sofaer, Ian Pearse, Julia Sullivan, Peder Engelstad, Thomas J Stohlgren
Publikováno v:
PLoS ONE, Vol 15, Iss 3, p e0229253 (2020)
Predictions of habitat suitability for invasive plant species can guide risk assessments at regional and national scales and inform early detection and rapid-response strategies at local scales. We present a general approach to invasive species model
Externí odkaz:
https://doaj.org/article/5d9a036c55a148b4b6b3fef9326d1e4a
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0205092 (2018)
Modeling of background radiation for the urban environment plays an important role in homeland security. However, background radiation is difficult to assess due to its spatial-temporal fluctuations caused by the variation in soil composition, buildi
Externí odkaz:
https://doaj.org/article/0d39e8c342d14e05840ad06c78f8e879
Autor:
Peder Engelstad, Catherine S. Jarnevich, Terri Hogan, Helen R. Sofaer, Ian S. Pearse, Jennifer L. Sieracki, Neil Frakes, Julia Sullivan, Nicholas E. Young, Janet S. Prevéy, Pairsa Belamaric, Jillian LaRoe
Publikováno v:
PLoS ONE, Vol 17, Iss 2 (2022)
PLoS ONE, Vol 17, Iss 2, p e0263056 (2022)
PLoS ONE, Vol 17, Iss 2, p e0263056 (2022)
Narrowing the communication and knowledge gap between producers and users of scientific data is a longstanding problem in ecological conservation and land management. Decision support tools (DSTs), including websites or interactive web applications,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42fd8b26c7e42d5f031f5e9dbc2ff016
https://pubmed.ncbi.nlm.nih.gov/35134065
https://pubmed.ncbi.nlm.nih.gov/35134065
Publikováno v:
2003 Annual Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::616e48c9bb6d331fa656753bf80f96d1
https://doi.org/10.18260/1-2--11377
https://doi.org/10.18260/1-2--11377
Autor:
Helen R. Sofaer, Ian S. Pearse, Thomas J. Stohlgren, Nicholas E. Young, Peder Engelstad, Julia Sullivan, Catherine S. Jarnevich
Publikováno v:
PLoS ONE, Vol 15, Iss 3, p e0229253 (2020)
PLoS ONE
PLoS ONE
Predictions of habitat suitability for invasive plant species can guide risk assessments at regional and national scales and inform early detection and rapid-response strategies at local scales. We present a general approach to invasive species model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46a48326dbdf67b62c3511663acaf914
https://doaj.org/article/5d9a036c55a148b4b6b3fef9326d1e4a
https://doaj.org/article/5d9a036c55a148b4b6b3fef9326d1e4a
Publikováno v:
In Survey of Ophthalmology 2002 47(6):533-546
Publikováno v:
Journal of College Student Retention: Research, Theory & Practice. 8:457-475
Regression analysis was used to study retention and graduation for the fall 1996 entering class of students at a midwestern research extensive university ( n = 3,610; 44% female, 8% minority, 77% in-state). Logistic regression was used to predict the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f63ea32ebfd5fbda30305762df33c537
https://doi.org/10.2190/86x6-5vh8-3007-6918
https://doi.org/10.2190/86x6-5vh8-3007-6918