570 research outputs found
On directed information theory and Granger causality graphs
Directed information theory deals with communication channels with feedback.
When applied to networks, a natural extension based on causal conditioning is
needed. We show here that measures built from directed information theory in
networks can be used to assess Granger causality graphs of stochastic
processes. We show that directed information theory includes measures such as
the transfer entropy, and that it is the adequate information theoretic
framework needed for neuroscience applications, such as connectivity inference
problems.Comment: accepted for publications, Journal of Computational Neuroscienc
Nova V5116 Sgr and searching for superhumps in nova remnants
We present the period analysis of unfiltered photometric observations of
V5116 Sgr (Nova Sgr 2005 #2) and we search for superhump candidates in novae
remnants. The PDM method for period analysis is used. The masses of the novae
componets are estimated from the secondary mass -- orbital period and primary
mass -- decline time relations. We found that 13 nights of V5116 Sgr
observations in the year 2006 are modulated with a period of d ( h). Following the shape of the phased light
curves and no apparent change in the value of the periodicity in different
subsamples of the data, we interpret the period as orbital in nature. The
binary system then falls within the period gap of the orbital period
distribution of cataclysmic variables. From the maximum magnitude -- rate of
decline relation, we estimate the maximum absolute visual magnitude of mag using the measured value of decline d. The mass-period relation for cataclysmic variables yields a
secondary mass estimate of about . We
propose that V5116 Sgr is a high inclination system showing an irradiation
effect of the secondary star. No fully developed accretion disc up to the tidal
radius with the value lower than cm is probable. The mass ratio
was estimated in a few novae and the presence or absence of superhumps in these
systems was compared with the mass ratio limit for superhumps of about 0.35. We
found that in the majority of novae with expected superhumps, this variability
has not been found yet. Therefore, more observations of these systems is
encouraged.Comment: 9 pages, 7 figures, accepted for publication in A&
Invasion speeds for structured populations in fluctuating environments
We live in a time where climate models predict future increases in
environmental variability and biological invasions are becoming increasingly
frequent. A key to developing effective responses to biological invasions in
increasingly variable environments will be estimates of their rates of spatial
spread and the associated uncertainty of these estimates. Using stochastic,
stage-structured, integro-difference equation models, we show analytically that
invasion speeds are asymptotically normally distributed with a variance that
decreases in time. We apply our methods to a simple juvenile-adult model with
stochastic variation in reproduction and an illustrative example with published
data for the perennial herb, \emph{Calathea ovandensis}. These examples
buttressed by additional analysis reveal that increased variability in vital
rates simultaneously slow down invasions yet generate greater uncertainty about
rates of spatial spread. Moreover, while temporal autocorrelations in vital
rates inflate variability in invasion speeds, the effect of these
autocorrelations on the average invasion speed can be positive or negative
depending on life history traits and how well vital rates ``remember'' the
past
Biphoton generation in quadratic waveguide arrays: A classical optical simulation
Quantum entanglement, the non-separability of a multipartite wave function,
became essential in understanding the non-locality of quantum mechanics. In
optics, this non-locality can be demonstrated on impressively large length
scales, as photons travel with the speed of light and interact only weakly with
their environment. With the discovery of spontaneous parametric down-conversion
(SPDC) in nonlinear crystals, an efficient source for entangled photon pairs,
so-called biphotons, became available. It has recently been shown that SPDC can
also be implemented in nonlinear arrays of evanescently coupled waveguides
which allows the generation and the investigation of correlated quantum walks
of such biphotons in an integrated device. Here, we analytically and
experimentally demonstrate that the biphoton degrees of freedom are entailed in
an additional spatial dimension, therefore the SPDC and the subsequent quantum
random walk in one-dimensional (1D) arrays can be simulated through classical
optical beam propagation in a two-dimensional (2D) photonic lattice. Thereby,
the output intensity images directly represent the biphoton correlations and
exhibit a clear violation of a Bell-type inequality
Nonlinear Time Series Analysis of Nodulation Factor Induced Calcium Oscillations: Evidence for Deterministic Chaos?
Legume plants form beneficial symbiotic interactions with nitrogen fixing bacteria (called rhizobia), with the rhizobia being accommodated in unique structures on the roots of the host plant. The legume/rhizobial symbiosis is responsible for a significant proportion of the global biologically available nitrogen. The initiation of this symbiosis is governed by a characteristic calcium oscillation within the plant root hair cells and this signal is activated by the rhizobia. Recent analyses on calcium time series data have suggested that stochastic effects have a large role to play in defining the nature of the oscillations. The use of multiple nonlinear time series techniques, however, suggests an alternative interpretation, namely deterministic chaos. We provide an extensive, nonlinear time series analysis on the nature of this calcium oscillation response. We build up evidence through a series of techniques that test for determinism, quantify linear and nonlinear components, and measure the local divergence of the system. Chaos is common in nature and it seems plausible that properties of chaotic dynamics might be exploited by biological systems to control processes within the cell. Systems possessing chaotic control mechanisms are more robust in the sense that the enhanced flexibility allows more rapid response to environmental changes with less energetic costs. The desired behaviour could be most efficiently targeted in this manner, supporting some intriguing speculations about nonlinear mechanisms in biological signaling
PARP16 is a tail-anchored endoplasmic reticulum protein required for the PERK- and IRE1α-mediated unfolded protein response
Poly(ADP-ribose) polymerases (PARPs; also known as ADP-ribosyl transferase D proteins) modify acceptor proteins with ADP-ribose modifications of varying length (reviewed in refs 1, 2, 3). PARPs regulate key stress response pathways, including DNA damage repair and the cytoplasmic stress response. Here, we show that PARPs also regulate the unfolded protein response (UPR) of the endoplasmic reticulum (ER). Human PARP16 (also known as ARTD15) is a tail-anchored ER transmembrane protein required for activation of the functionally related ER stress sensors PERK and IRE1α during the UPR. The third identified ER stress sensor, ATF6, is not regulated by PARP16. As is the case for other PARPs that function during stress, the enzymatic activity of PARP16 is upregulated during ER stress when it ADP-ribosylates itself, PERK and IRE1α. ADP-ribosylation by PARP16 is sufficient for activating PERK and IRE1α in the absence of ER stress, and is required for PERK and IRE1α activation during the UPR. Modification of PERK and IRE1α by PARP16 increases their kinase activities and the endonuclease activity of IRE1α. Interestingly, the carboxy-terminal luminal tail of PARP16 is required for PARP16 function during ER stress, suggesting that it transduces stress signals to the cytoplasmic PARP catalytic domain.National Cancer Institute (U.S.) (Cancer Center Support Core Grant P30-CA14051)National Institutes of Health (U.S.) (Grant 5R01 GM087465-02)Kathy and Curt Marble Cancer Research FundJeptha H. and Emily V. Wade FundVirginia and D.K. Ludwig Fund for Cancer Researc
Enhancement Effects of Martentoxin on Glioma BK Channel and BK Channel (α+β1) Subtypes
BACKGROUND: BK channels are usually activated by membrane depolarization and cytoplasmic Ca(2+). Especially,the activity of BK channel (α+β4) can be modulated by martentoxin, a 37 residues peptide, with Ca(2+)-dependent manner. gBK channel (glioma BK channel) and BK channel (α+β1) possessed higher Ca(2+) sensitivity than other known BK channel subtypes. METHODOLOGY AND PRINCIPAL FINDINGS: The present study investigated the modulatory characteristics of martentoxin on these two BK channel subtypes by electrophysiological recordings, cell proliferation and Ca(2+) imaging. In the presence of cytoplasmic Ca(2+), martentoxin could enhance the activities of both gBK and BK channel (α+β1) subtypes in dose-dependent manner with EC(50) of 46.7 nM and 495 nM respectively, while not shift the steady-state activation of these channels. The enhancement ratio of martentoxin on gBK and BK channel (α+β1) was unrelated to the quantitative change of cytoplasmic Ca(2+) concentrations though the interaction between martentoxin and BK channel (α+β1) was accelerated under higher cytoplasmic Ca(2+). The selective BK pore blocker iberiotoxin could fully abolish the enhancement of these two BK subtypes induced by martentoxin, suggesting that the auxiliary β subunit might contribute to the docking for martentoxin. However, in the absence of cytoplasmic Ca(2+), the activity of gBK channel would be surprisingly inhibited by martentoxin while BK channel (α+β1) couldn't be affected by the toxin. CONCLUSIONS AND SIGNIFICANCE: Thus, the results shown here provide the novel evidence that martentoxin could increase the two Ca(2+)-hypersensitive BK channel subtypes activities in a new manner and indicate that β subunit of these BK channels plays a vital role in this enhancement by martentoxin
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