Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Peter Wills"'
Autor:
Alejandra Mora-Soto, Sarah Schroeder, Lianna Gendall, Alena Wachmann, Gita R. Narayan, Silven Read, Isobel Pearsall, Emily Rubidge, Joanne Lessard, Kathryn Martell, Peter Wills, Maycira Costa
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
The impacts of local-scale temperatures and winds on bull kelp (Nereocystis luetkeana) vary along a coastal gradient, while also being influenced by corresponding global-scale oceanic conditions. Around Vancouver Island and the Gulf Islands, BC, Cana
Externí odkaz:
https://doaj.org/article/fce97c01c7664fbd8dd2180bd980e864
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1276 (2023)
Kelp forests provide key habitat on the Pacific Coast of Canada; however, the long-term changes in their distribution and abundance remain poorly understood. With advances in satellite technology, floating kelp forests can now be monitored across lar
Externí odkaz:
https://doaj.org/article/7497ba5a894349938382713b66f78a89
Publikováno v:
Pharmacology Research & Perspectives, Vol 8, Iss 3, Pp n/a-n/a (2020)
Abstract The corticotropin‐releasing factor (CRF) receptors represent potential drug targets for the treatment of anxiety, stress, and other disorders. However, it is not known if endogenous CRF receptor agonists display biased signaling, how effec
Externí odkaz:
https://doaj.org/article/b29a520c46634826a2ad66da9d07a8a8
Autor:
Peter Wills, François G Meyer
Publikováno v:
PLoS ONE, Vol 15, Iss 2, p e0228728 (2020)
Comparison of graph structure is a ubiquitous task in data analysis and machine learning, with diverse applications in fields such as neuroscience, cyber security, social network analysis, and bioinformatics, among others. Discovery and comparison of
Externí odkaz:
https://doaj.org/article/41f6766e08bd475d92f4eeacc37186df
Autor:
Christina Simoniello, Jennifer Jencks, Federico M. Lauro, Jon Derek Loftis, Jan Marcin Weslawski, Kajetan Deja, David R. Forrest, Sarah Gossett, Thomas C. Jeffries, Rachelle M. Jensen, Shinichi Kobara, Lindsey Nolan, Martin Ostrowski, Dana Pounds, Gabriel Roseman, Olivia Basco, Serge Gosselin, Adam Reed, Peter Wills, David Wyatt
Publikováno v:
Frontiers in Marine Science, Vol 6 (2019)
The democratization of ocean observation has the potential to add millions of observations every day. Though not a solution for all ocean monitoring needs, citizen scientists offer compelling examples showcasing their ability to augment and enhance t
Externí odkaz:
https://doaj.org/article/4f87a28602de4a1dbb1e163286306846
Publikováno v:
Canadian Public Policy. 48:186-208
The coronavirus disease 2019 (COVID-19) pandemic has challenged an array of democratic institutions in complex and unprecedented ways. Little academic work, however, has considered the pandemic's impact on Canada's courts. This article aims to partia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fd01ce452f70f9418ff33fe7d303997
https://doi.org/10.3138/cpp.2021-015
https://doi.org/10.3138/cpp.2021-015
Publikováno v:
Journal of Geophysical Research: Oceans. 125
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ec46cfda1d31d7942aef0bc1d232377
https://doi.org/10.1029/2019jc015374
https://doi.org/10.1029/2019jc015374
Autor:
François G. Meyer, Peter Wills
Publikováno v:
Complex Networks and Their Applications VIII ISBN: 9783030366865
COMPLEX NETWORKS (1)
COMPLEX NETWORKS (1)
We study a change point detection scenario for a dynamic community graph model, which is formed by adding new vertices and randomly attaching them to the existing nodes. The goal of this work is to design a test statistic to detect the merging of com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cedc44c641abf01c40e708cee25d4856
https://doi.org/10.1007/978-3-030-36687-2_18
https://doi.org/10.1007/978-3-030-36687-2_18
Autor:
François G. Meyer, Peter Wills
Publikováno v:
PLoS ONE, Vol 15, Iss 2, p e0228728 (2020)
PLoS ONE
PLoS ONE
Comparison of graph structure is a ubiquitous task in data analysis and machine learning, with diverse applications in fields such as neuroscience [1], cyber security [2], social network analysis [3], and bioinformatics [4], among others. Discovery a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b260ca4e6cdbff3fb9ef31317de0c34d
http://arxiv.org/abs/1904.07414
http://arxiv.org/abs/1904.07414