Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Cara Murphy"'
Autor:
Rachel Chaffee, K. T. Todd, Preeti Gupta, Sarah May, Mahmoud Abouelkheir, Lucie Lagodich, Jackie Wang, Cara Murphy, Xavier Lawrence
Publikováno v:
International Journal of Qualitative Methods, Vol 23 (2024)
This article provides a cross-case study of three studies that utilized anti-adultist approaches to collaborating with youth as co-researchers. Drawing on reflections from both adults and youth, we present an analysis of three case studies of adult a
Externí odkaz:
https://doaj.org/article/1e74e8e254bd4bc2a23d04066514526c
Autor:
Michael Amlung, Max Michael Owens, Tegan Hargreaves, Joshua Gray, Cara Murphy, James MacKillop, Lawrence Sweet
Publikováno v:
Psychiatry Res Neuroimaging
Large proportions of smokers are unsuccessful in evidence-based smoking cessation treatment and identifying prognostic predictors may inform improvements in treatment. Steep discounting of delayed rewards (delay discounting) is a robust predictor of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4785def1712280e9809814c9aa3488b
https://europepmc.org/articles/PMC9729436/
https://europepmc.org/articles/PMC9729436/
Akademický článek
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Publikováno v:
Abstracts from the 2021 Virtual Scientific Meeting of the Research Society on Marijuana July 23rd, 2021.
Behavioral economic models of addiction posit that cannabis’s reinforcing value (demand) is linked to use. The Marijuana Purchase Task (MPT; Aston et al., 2015) quantifies demand by assessing hypothetical cannabis consumption across escalating pric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::befbff7bb9995adf7edbe76ae03a530b
https://doi.org/10.26828/cannabis.2022.01.000.12
https://doi.org/10.26828/cannabis.2022.01.000.12
Autor:
John P. Kerekes, Cara Murphy
Publikováno v:
Journal of Spectral Imaging, Vol 10, Iss 1, p a2 (2021)
The classification of trace chemical residues through active spectroscopic sensing is challenging due to the lack of physics-based models that can accurately predict spectra. To overcome this challenge, we leveraged the field of domain adaptation to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4868065b4ea329eb5a879a882ba0a147
https://www.impopen.com/jsi-abstract/I10_a2
https://www.impopen.com/jsi-abstract/I10_a2
Autor:
Cara Murphy, John P. Kerekes
Publikováno v:
Applied optics. 60(11)
Achieving high classification accuracy on trace chemical residues in active spectroscopic sensing is challenging due to the limited amount of training data available to the classifier. Such classifiers often rely on physics-based models for generatin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb8fb853e163690b4f747a6cbc5ada65
https://pubmed.ncbi.nlm.nih.gov/33983216
https://pubmed.ncbi.nlm.nih.gov/33983216
Active mid-infrared spectroscopy with tunable lasers is a leading technology for standoff detection and identification of trace chemicals. Information-theoretic optimal selection of the laser wavelength offers the promise of increased detection confi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92b56ceb6eacfdc50b17e82c76b31986
https://doi.org/10.26434/chemrxiv.7286243
https://doi.org/10.26434/chemrxiv.7286243
Publikováno v:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV.
Real-time, standoff detection of trace chemicals on surfaces in the presence of unknown interferent contaminants using active IR spectroscopy poses significant challenges. The measurement time and computational burden can be prohibitive due to the nu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d7b6aa90384eb08dbe114bdecf65976
https://doi.org/10.1117/12.2304050
https://doi.org/10.1117/12.2304050
Autor:
Gil Raz, David F. Kelley, Derek Wood, Cara Murphy, Chelsea Georgan, Petros Kotidis, Travis Myers, Anish K. Goyal
Publikováno v:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII.
Laser-based, mid-infrared (MIR) hyperspectral imaging (HSI) has the potential to detect a wide range of trace chemicals on a variety of surfaces under standoff conditions. The major challenge of MIR reflection spectroscopy is that the reflection sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bfa65fbc17c5c74dc27cc390becf06a
https://doi.org/10.1117/12.2262548
https://doi.org/10.1117/12.2262548
Autor:
R. K. Prasanth, Anish K. Goyal, Ross N. Greenwood, Chelsea Georgan, Petros Kotidis, Travis Myers, David F. Kelley, Cara Murphy, Derek Wood, Gil Raz
Publikováno v:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII.
Algorithms for standoff detection and estimation of trace chemicals in hyperspectral images in the IR band are a key component for a variety of applications relevant to law-enforcement and the intelligence communities. Performance of these methods is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c00efcfe159b1ce08b33142278ea666d
https://doi.org/10.1117/12.2258429
https://doi.org/10.1117/12.2258429