1,696 research outputs found
A pairwise maximum entropy model describes energy landscape for spiral wave dynamics of cardiac fibrillation
Heart is an electrically-connected network. Spiral wave dynamics of cardiac
fibrillation shows chaotic and disintegrated patterns while sinus rhythm shows
synchronized excitation patterns. To determine functional interactions between
cardiomyocytes during complex fibrillation states, we applied a pairwise
maximum entropy model (MEM) to the sequential electrical activity maps acquired
from the 2D computational simulation of human atrial fibrillation. Then, we
constructed energy landscape and estimated hierarchical structure among the
different local minima (attractors) to explain the dynamic properties of
cardiac fibrillation. Four types of the wave dynamics were considered: sinus
rhythm; single stable rotor; single rotor with wavebreak; and multiple wavelet.
The MEM could describe all types of wave dynamics (both accuracy and
reliability>0.9) except the multiple random wavelet. Both of the sinus rhythm
and the single stable rotor showed relatively high pairwise interaction
coefficients among the cardiomyocytes. Also, the local energy minima had
relatively large basins and high energy barrier, showing stable attractor
properties. However, in the single rotor with wavebreak, there were relatively
low pairwise interaction coefficients and a similar number of the local minima
separated by a relatively low energy barrier compared with the single stable
rotor case. The energy landscape of the multiple wavelet consisted of a large
number of the local minima separated by a relatively low energy barrier,
showing unstable dynamics. These results indicate that the MEM provides
information about local and global coherence among the cardiomyocytes beyond
the simple structural connectivity. Energy landscape analysis can explain
stability and transitional properties of complex dynamics of cardiac
fibrillation, which might be determined by the presence of 'driver' such as
sinus node or rotor.Comment: Presented at the 62nd Biophysical Society Annual Meeting, San
Francisco, California, 201
Probing hyperbolic polaritons using infrared attenuated total reflectance micro-spectroscopy
Hyperbolic polariton modes are highly appealing for a broad range of
applications in nanophotonics, including surfaced enhanced sensing,
sub-diffractional imaging and reconfigurable metasurfaces. Here we show that
attenuated total reflectance micro-spectroscopy (ATR) using standard
spectroscopic tools can launch hyperbolic polaritons in a Kretschmann-Raether
configuration. We measure multiple hyperbolic and dielectric modes within the
naturally hyperbolic material hexagonal boron nitride as a function of
different isotopic enrichments and flake thickness. This overcomes the
technical challenges of measurement approaches based on nanostructuring, or
scattering scanning nearfield optical microscopy. Ultimately, our ATR approach
allows us to compare the optical properties of small-scale materials prepared
by different techniques systematicallyComment: 13 pages 4 figure
Measurement of the Proton and Deuteron Spin Structure Functions g2 and Asymmetry A2
We have measured the spin structure functions g2p and g2d and the virtual
photon asymmetries A2p and A2d over the kinematic range 0.02 < x < 0.8 and 1.0
< Q^2 < 30(GeV/c)^2 by scattering 38.8 GeV longitudinally polarized electrons
from transversely polarized NH3 and 6LiD targets.The absolute value of A2 is
significantly smaller than the sqrt{R} positivity limit over the measured
range, while g2 is consistent with the twist-2 Wandzura-Wilczek calculation. We
obtain results for the twist-3 reduced matrix elements d2p, d2d and d2n. The
Burkhardt-Cottingham sum rule integral - int(g2(x)dx) is reported for the range
0.02 < x < 0.8.Comment: 12 pages, 4 figures, 1 tabl
Precision Measurement of the Proton and Deuteron Spin Structure Functions g2 and Asymmetries A2
We have measured the spin structure functions g2p and g2d and the virtual
photon asymmetries A2p and A2d over the kinematic range 0.02 < x < 0.8 and 0.7
< Q^2 < 20 GeV^2 by scattering 29.1 and 32.3 GeV longitudinally polarized
electrons from transversely polarized NH3 and 6LiD targets. Our measured g2
approximately follows the twist-2 Wandzura-Wilczek calculation. The twist-3
reduced matrix elements d2p and d2n are less than two standard deviations from
zero. The data are inconsistent with the Burkhardt-Cottingham sum rule if there
is no pathological behavior as x->0. The Efremov-Leader-Teryaev integral is
consistent with zero within our measured kinematic range. The absolute value of
A2 is significantly smaller than the sqrt[R(1+A1)/2] limit.Comment: 12 pages, 4 figures, 2 table
Global Industry Reorganization and Market Concentration : Automobiles, Steel, and Airlines
Glioblastoma multiforme (GBM) is a deadly primary brain malignancy. Glioblastoma stem cells (GSC), which have the ability to self-renew and differentiate into tumor lineages, are believed to cause tumor recurrence due to their resistance to current therapies. A subset of GSCs is marked by cell surface expression of CD133, a glycosylated pentaspan transmembrane protein. The study of CD133-expressing GSCs has been limited by the relative paucity of genetic tools that specifically target them. Here, we present CD133-LV, a lentiviral vector presenting a single chain antibody against CD133 on its envelope, as a vehicle for the selective transduction of CD133-expressing GSCs. We show that CD133-LV selectively transduces CD133+ human GSCs in dose-dependent manner and that transduced cells maintain their stem-like properties. The transduction efficiency of CD133-LV is reduced by an antibody that recognizes the same epitope on CD133 as the viral envelope and by shRNA-mediated knockdown of CD133. Conversely, the rate of transduction by CD133-LV is augmented by overexpression of CD133 in primary human GBM cultures. CD133-LV selectively transduces CD133-expressing cells in intracranial human GBM xenografts in NOD.SCID mice, but spares normal mouse brain tissue, neurons derived from human embryonic stem cells and primary human astrocytes. Our findings indicate that CD133-LV represents a novel tool for the selective genetic manipulation of CD133-expressing GSCs, and can be used to answer important questions about how these cells contribute to tumor biology and therapy resistance
Multi-scale spatio-temporal analysis of human mobility
The recent availability of digital traces generated by phone calls and online logins has significantly increased the scientific understanding of human mobility. Until now, however, limited data resolution and coverage have hindered a coherent description of human displacements across different spatial and temporal scales. Here, we characterise mobility behaviour across several orders of magnitude by analysing ∼850 individuals' digital traces sampled every ∼16 seconds for 25 months with ∼10 meters spatial resolution. We show that the distributions of distances and waiting times between consecutive locations are best described by log-normal and gamma distributions, respectively, and that natural time-scales emerge from the regularity of human mobility. We point out that log-normal distributions also characterise the patterns of discovery of new places, implying that they are not a simple consequence of the routine of modern life
Release of mineral-bound water prior to subduction tied to shallow seismogenic slip off Sumatra
Plate-boundary fault rupture during the 2004 Sumatra-Andaman subduction earthquake extended closer to the trench than expected, increasing earthquake and tsunami size. International Ocean Discovery Program Expedition 362 sampled incoming sediments offshore northern Sumatra, revealing recent release of fresh water within the deep sediments. Thermal modeling links this freshening to amorphous silica dehydration driven by rapid burial-induced temperature increases in the past 9 million years. Complete dehydration of silicates is expected before plate subduction, contrasting with prevailing models for subduction seismogenesis calling for fluid production during subduction. Shallow slip offshore Sumatra appears driven by diagenetic strengthening of deeply buried fault-forming sediments, contrasting with weakening proposed for the shallow Tohoku-Oki 2011 rupture, but our results are applicable to other thickly sedimented subduction zones including those with limited earthquake records
Chinese characters reveal impacts of prior experience on very early stages of perception
Visual perception is strongly determined by accumulated experience with the world, which has been shown for shape, color, and position perception, in the field of visuomotor learning, and in neural computation. In addition, visual perception is tuned to statistics of natural scenes. Such prior experience is modulated by neuronal top-down control the temporal properties of which had been subject to recent studies. Here, we deal with these temporal properties and address the question how early in time accumulated past experience can modulate visual perception
Abnormal White Matter Integrity in Adolescents with Internet Addiction Disorder: A Tract-Based Spatial Statistics Study
Background: Internet addiction disorder (IAD) is currently becoming a serious mental health issue around the globe. Previous studies regarding IAD were mainly focused on associated psychological examinations. However, there are few studies on brain structure and function about IAD. In this study, we used diffusion tensor imaging (DTI) to investigate white matter integrity in adolescents with IAD. Methodology/Principal Findings: Seventeen IAD subjects and sixteen healthy controls without IAD participated in this study. Whole brain voxel-wise analysis of fractional anisotropy (FA) was performed by tract-based spatial statistics (TBSS) to localize abnormal white matter regions between groups. TBSS demonstrated that IAD had significantly lower FA than controls throughout the brain, including the orbito-frontal white matter, corpus callosum, cingulum, inferior fronto-occipital fasciculus, and corona radiation, internal and external capsules, while exhibiting no areas of higher FA. Volume-of-interest (VOI) analysis was used to detect changes of diffusivity indices in the regions showing FA abnormalities. In most VOIs, FA reductions were caused by an increase in radial diffusivity while no changes in axial diffusivity. Correlation analysis was performed to assess the relationship between FA and behavioral measures within the IAD group. Significantly negative correlations were found between FA values in the left genu of the corpus callosum and the Screen for Child Anxiety Related Emotional Disorders, and between FA values in the left external capsule and the Young’s Internet addiction scale
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