Zobrazeno 1 - 10
of 898
pro vyhledávání: '"MORRISON, CHRIS"'
Autor:
Pellinen, Jacob, Sillau, Stefan, Morrison, Chris, Maruff, Paul, O’Brien, Terence J., Penovich, Patricia, French, Jacqueline, Knupp, Kelly G., Meador, Kimford J.
Publikováno v:
In Epilepsy & Behavior October 2024 159
Autor:
Trott, Nicola
Publikováno v:
Victorian Periodicals Review, 2001 Dec 01. 34(4), 411-413.
Externí odkaz:
https://www.jstor.org/stable/20083846
Autor:
Parekh, Pia, Wheless, Hannah, Freglette, Cameryn, French, Jacqueline, Morrison, Chris, Pellinen, Jacob
Publikováno v:
In Epilepsy & Behavior July 2024 156
Publikováno v:
PSA Newsletter, 1997 Apr 01. 25(1), 7-7.
Externí odkaz:
https://www.jstor.org/stable/43899865
Autor:
Valdes, Eduard, Fuchs, Benjamin, Morrison, Chris, Charvet, Leigh, Lewis, Ariane, Thawani, Sujata, Balcer, Laura, Galetta, Steven L., Wisniewski, Thomas, Frontera, Jennifer A.
Publikováno v:
In Journal of the Neurological Sciences 15 July 2022 438
Autor:
Frontera, Jennifer A., Yang, Dixon, Lewis, Ariane, Patel, Palak, Medicherla, Chaitanya, Arena, Vito, Fang, Taolin, Andino, Andres, Snyder, Thomas, Madhavan, Maya, Gratch, Daniel, Fuchs, Benjamin, Dessy, Alexa, Canizares, Melanie, Jauregui, Ruben, Thomas, Betsy, Bauman, Kristie, Olivera, Anlys, Bhagat, Dhristie, Sonson, Michael, Park, George, Stainman, Rebecca, Sunwoo, Brian, Talmasov, Daniel, Tamimi, Michael, Zhu, Yingrong, Rosenthal, Jonathan, Dygert, Levi, Ristic, Milan, Ishii, Haruki, Valdes, Eduard, Omari, Mirza, Gurin, Lindsey, Huang, Joshua, Czeisler, Barry M., Kahn, D. Ethan, Zhou, Ting, Lin, Jessica, Lord, Aaron S., Melmed, Kara, Meropol, Sharon, Troxel, Andrea B., Petkova, Eva, Wisniewski, Thomas, Balcer, Laura, Morrison, Chris, Yaghi, Shadi, Galetta, Steven
Publikováno v:
In Journal of the Neurological Sciences 15 July 2021 426
Autor:
KENWORTHY, ANDY
Publikováno v:
NZ Business + Management. Sep2016, Vol. 30 Issue 8, p32-33. 2p. 4 Color Photographs.
Autor:
Ménard, Brice, Scranton, Ryan, Schmidt, Samuel, Morrison, Chris, Jeong, Donghui, Budavari, Tamas, Rahman, Mubdi
We present a data-driven method to infer the redshift distribution of an arbitrary dataset based on spatial cross-correlation with a reference population and we apply it to various datasets across the electromagnetic spectrum to show its potential an
Externí odkaz:
http://arxiv.org/abs/1303.4722
