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Resistant Resonances:

In the United States, engineering and mental health-care professionals increasingly collaborate to develop vocal biomarker artificial intelligence, technologies that can supposedly detect mental distress by analyzing the sounds of the voice alone. This article draws from ethnographic fieldwork with individuals typically excluded from dominant accounts ...
openaire   +1 more source

The Resonance of Resonance

Philosophy & Rhetoric
ABSTRACT This article explores a state of movement in the humanities into nonhuman entanglements. A key term, “resonance,” emerges in this movement. Predominating scholarship orients resonance as a flourishing. In this article, accounts of the destructiveness of mechanical resonance signal a telling lacuna in humanities scholarship ...
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Giant Resonances

2001
Abstract Giant resonances are collective excitations of the atomic nucleus, a typical quantum many-body system. The study of these fundamental modes has in many respects contributed to our understanding of the bulk behaviour of the nucleus and of the dynamics of non-equilibrium excitations. Although the phenomenon of giant resonances has
Harakeh, M.N., van der Woude, A.
openaire   +2 more sources

Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold

Magnetic Resonance in Medicine, 1995
S. D. Forman   +5 more
semanticscholar   +1 more source

Three‐dimensional tracking of axonal projections in the brain by magnetic resonance imaging

Annals of Neurology, 1999
S. Mori   +3 more
semanticscholar   +1 more source

Magnetic Resonance Classification of Lumbar Intervertebral Disc Degeneration

Spine, 2001
C. Pfirrmann   +4 more
semanticscholar   +1 more source

Localized surface plasmon resonance spectroscopy and sensing.

Annual review of physical chemistry (Print), 2007
K. Willets, R. V. Van Duyne
semanticscholar   +1 more source

Probabilistic independent component analysis for functional magnetic resonance imaging

IEEE Transactions on Medical Imaging, 2004
C. Beckmann, Stephen M. Smith
semanticscholar   +1 more source

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