Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mikaela Algren"'
Autor:
Udayan Singh, Mikaela Algren, Carrie Schoeneberger, Chayse Lavallais, Margaret G. O’Connell, Doris Oke, Chao Liang, Sabyasachi Das, Santiago D. Salas, Jennifer B. Dunn
Publikováno v:
iScience, Vol 25, Iss 12, Pp 105661- (2022)
Summary: Strategies targeting methane (CH4) and nitrous oxide (N2O) emissions are critical to meeting global climate targets. Existing literature estimates the emissions of these gases from specific sectors, but this knowledge must be synthesized to
Externí odkaz:
https://doaj.org/article/cea7a9bdf69e4d71bd81106e68bf429d
Publikováno v:
Environmental Research: Infrastructure and Sustainability, Vol 3, Iss 1, p 015005 (2023)
Improving phosphorus (P) management is important for both ecosystem protection and avoiding mineable P scarcity. In order to inform the development of impactful solutions to both of these issues, we assessed the potential of several specific manageme
Externí odkaz:
https://doaj.org/article/047691f31d744cbd959a1a36f3cd8366
Publikováno v:
Journal of Industrial Ecology. 26:1123-1135
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1355c39c414f68d02c79aa4247d7f59f
https://doi.org/10.1111/jiec.13251
https://doi.org/10.1111/jiec.13251
Publikováno v:
Environmental sciencetechnology. 55(12)
To accurately assess contributions of human activities to nitrogen (N) cycle disruption, we must consider how systems such as food and renewable fuel production are connected. N impacts of food and biofuel systems have been studied separately, but li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6afee7422f29ab4fb4dad75a0a6c9060
https://pubmed.ncbi.nlm.nih.gov/34077190
https://pubmed.ncbi.nlm.nih.gov/34077190
Machine learning (ML) has been used in life cycle assessment (LCA) to estimate the values of environmental impact characterization factors and to conduct sensitivity analyses. ML has even been used to develop surrogate LCAs, which have enabled predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2bb3513df5550875807555b0b56b984
https://doi.org/10.1016/b978-0-12-817976-5.00009-7
https://doi.org/10.1016/b978-0-12-817976-5.00009-7
Autor:
Mikaela Algren, Hossein Ataei, Prasanna Balaprakash, Elisabeth N. Bui, Sergio Castellanos, Deboleena Chakraborty, Jacqueline M. Cole, Virginia H. Dale, Maggie Davis, Sybil Derrible, Leon R. Devereux, Jennifer B. Dunn, Rebecca A. Efroymson, Wendy Fisher, Stefania Grimaldi, Cassandra Handan-Nader, Richard K. Helling, Michael R. Hilliard, Daniel E. Ho, Henriette Jager, Daniel M. Kammen, Evgenia Kapousouz, Keith L. Kline, Amy E. Landis, Larry Y. Liu, Charlotte L.J. Marcinko, Esther S. Parish, Valentijn R.N. Pauwels, Abolfazl Seyrfar, Ashkan Shokri, Deborah A. Sunter, Niraj Swami, Gary R. Watmough, Ashley Wright, Fei Xie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca23ecb6d10b2c33365e053aee59482d
https://doi.org/10.1016/b978-0-12-817976-5.00035-8
https://doi.org/10.1016/b978-0-12-817976-5.00035-8
Publikováno v:
Topics in Modal Analysis & Testing, Volume 10 ISBN: 9783319302485
In modal testing, a common excitation method is a transducer in mechanical contact with the object under test. However, for some structures it is desirable to excite vibrations without physical contact. One promising excitation technique is the acous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f0c6aafd0b860f5355e74877c93980d
https://doi.org/10.1007/978-3-319-30249-2_12
https://doi.org/10.1007/978-3-319-30249-2_12