Results 21 to 30 of about 2,829 (158)
Orbital motions as gradiometers for post-Newtonian tidal effects
The direct long-term changes occurring in the orbital dynamics of a local gravitationally bound binary system S due to the post-Newtonian tidal acceleration caused by an external massive source are investigated. A class of systems made of a test particle
Lorenzo eIorio
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Effects of spatial pattern scale of brain activity on the sensitivity of DOT, fMRI, EEG and MEG.
The objective of this work is to quantify how patterns of cortical activity at different spatial scales are measured by noninvasive functional neuroimaging sensors. We simulated cortical activation patterns at nine different spatial scales in a realistic
Katherine L Perdue +1 more
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Magnetometer, misalignment error and distortion field can reduce the accuracy of gradiometers. So, it is important to calibrate and compensate gradiometers error.
Hu Xiangchao +4 more
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CALIBRATION METHOD FOR GRAVITY GRADIOMETERS BY MEANS OF TWO ROTATING CYLINDERS
The problem of maintaining a constant gravitational gradient in a relatively large volume of space is considered. This provides a well defined input signal to a gravity gradiometer for the purpose of its calibration.
I. Z. Gilavdary, A. Veryaskin
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Terrestrial Gravity Fluctuations
Different forms of fluctuations of the terrestrial gravity field are observed by gravity experiments. For example, atmospheric pressure fluctuations generate a gravity-noise foreground in measurements with super-conducting gravimeters.
Jan Harms
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The Casimir force, a quantum mechanical effect, has been observed in several microelectromechanical system (MEMS) platforms. Due to its extreme sensitivity to the separation of two objects, the Casimir force has been proposed as an excellent avenue for ...
Josh Javor +4 more
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What graph theory actually tells us about resting state interictal MEG epileptic activity
Graph theory provides a useful framework to study functional brain networks from neuroimaging data. In epilepsy research, recent findings suggest that it offers unique insight into the fingerprints of this pathology on brain dynamics.
Guiomar Niso +5 more
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Magnetoencephalography: Basic principles
Magnetoencephalography (MEG) is the measurement of the magnetic field generated by the electrical activity of neurons. It is usually combined with a magnetic resonance imaging to get what is called magnetic source imaging.
Sanjay P Singh
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We focus on the fact that light-pulse atom interferometers measure the atoms' acceleration with only three data points per drop. As a result, the measured effect of the gravity gradient is systematically larger than the true one, an error linear with the
Anna M. Nobili +2 more
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Magnetoencephalography (MEG) has been combined with machine learning techniques, to recognize the Alzheimer’s disease (AD), one of the most common forms of dementia.
Su Yang +5 more
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