12,673 research outputs found
Penalized Orthogonal-Components Regression for Large p Small n Data
We propose a penalized orthogonal-components regression (POCRE) for large p
small n data. Orthogonal components are sequentially constructed to maximize,
upon standardization, their correlation to the response residuals. A new
penalization framework, implemented via empirical Bayes thresholding, is
presented to effectively identify sparse predictors of each component. POCRE is
computationally efficient owing to its sequential construction of leading
sparse principal components. In addition, such construction offers other
properties such as grouping highly correlated predictors and allowing for
collinear or nearly collinear predictors. With multivariate responses, POCRE
can construct common components and thus build up latent-variable models for
large p small n data.Comment: 12 page
Sandpile avalanche dynamics on scale-free networks
Avalanche dynamics is an indispensable feature of complex systems. Here we
study the self-organized critical dynamics of avalanches on scale-free networks
with degree exponent through the Bak-Tang-Wiesenfeld (BTW) sandpile
model. The threshold height of a node is set as with
, where is the degree of node . Using the branching
process approach, we obtain the avalanche size and the duration distribution of
sand toppling, which follow power-laws with exponents and ,
respectively. They are given as and
for , 3/2 and 2 for
, respectively. The power-law distributions are modified by a
logarithmic correction at .Comment: 8 pages, elsart styl
Classification of scale-free networks
While the emergence of a power law degree distribution in complex networks is
intriguing, the degree exponent is not universal. Here we show that the
betweenness centrality displays a power-law distribution with an exponent \eta
which is robust and use it to classify the scale-free networks. We have
observed two universality classes with \eta \approx 2.2(1) and 2.0,
respectively. Real world networks for the former are the protein interaction
networks, the metabolic networks for eukaryotes and bacteria, and the
co-authorship network, and those for the latter one are the Internet, the
world-wide web, and the metabolic networks for archaea. Distinct features of
the mass-distance relation, generic topology of geodesics and resilience under
attack of the two classes are identified. Various model networks also belong to
either of the two classes while their degree exponents are tunable.Comment: 6 Pages, 6 Figures, 1 tabl
Probability distribution of persistent spins in a Ising chain
We study the probability distribution of , the fraction of
spins unflipped till time , in a Ising chain with ferromagnetic
interactions. The distribution shows a peak at and in general is
non-Gaussian and asymmetric in nature. However for it shows a
Gaussian decay. A data collapse can be obtained when versus
is plotted with and .
Interestingly, shows a different behaviour compared to , the persistence probability which follows the well-known behaviour
. A quantitative estimate of the asymmetry and
non-Gaussian nature of is made by calculating its skewness and
kurtosis.Comment: 4 pages, submitted to J. Phys
CDC20 regulates sensitivity to chemotherapy and radiation in glioblastoma stem cells
Glioblastoma stem cells (GSCs) are an important subpopulation in glioblastoma, implicated in tumor growth, tumor recurrence, and radiation resistance. Understanding the cellular mechanisms for chemo- and radiation resistance could lead to the development of new therapeutic strategies. Here, we demonstrate that CDC20 promotes resistance to chemotherapy and radiation therapy. CDC20 knockdown does not increase TMZ- and radiation-induced DNA damage, or alter DNA damage repair, but rather promotes cell death through accumulation of the pro-apoptotic protein, Bim. Our results identify a CDC20 signaling pathway that regulates chemo- and radiosensitivity in GSCs, with the potential for CDC20-targeted therapeutic strategies in the treatment of glioblastoma
Evolution of community structure in the world trade web
In this note we study the bilateral merchandise trade flows between 186
countries over the 1948-2005 period using data from the International Monetary
Fund. We use Pajek to identify network structure and behavior across thresholds
and over time. In particular, we focus on the evolution of trade "islands" in
the a world trade network in which countries are linked with directed edges
weighted according to fraction of total dollars sent from one country to
another. We find mixed evidence for globalization.Comment: To be submitted to APFA 6 Proceedings, 8 pages, 3 Figure
Mechanisms of Groucho-mediated repression revealed by genome-wide analysis of Groucho binding and activity
Antibody validation (A) Chromatin isolated and sheared exactly as for the ChIP-seq analysis was subjected to immunoprecipitation with the indicated amounts (in μl) of affinity purified antibody against the Gro GP domain used for the ChIP-seq analysis, and then probed in a western blot with both an anti-Gro monoclonal antibody (mAb) or the anti-GP antibody. The band indicated by the asterisk is a cross-reacting protein that is recognized in the western blot but that is not efficiently immunoprecipitated by the anti-GP antibody. Ab HC – antibody heavy chain. (B) Heat map showing overlap (Jacard similarity coefficient [96]) between the peaks called in the duplicate ChIP-seq experiments at each time point. (C) Representative genome browser tracts comparing duplicate ChIP-seq experiments. (D and E) Comparison of Gro binding patterns obtained by ChIP-seq using our anti-GP antibody with that obtained by ChIP-chip (0–12 hr embryos; modENCODE #597) and ChIP-seq (white pre-pupae; modENCODE #4981) using independently derived antibodies [40]. (PDF 588 kb
Laser interstitial thermal therapy in grade 2/3 IDH1/2 mutant gliomas: A preliminary report and literature review
Laser interstitial thermal therapy (LITT) has become an increasingly utilized alternative to surgical resection for the treatment of glioma in patients. However, treatment outcomes in isocitrate dehydrogenase 1 and 2
Three Dimensional Hydrodynamic-Sedimentation Modeling Study : Hampton Roads Crossing, Lower James River, Virginia
A three-dimensional hydrodynamic-sedimentation computer model, HYSED-3D, was used to evaluate the effect of bridge-tunnel infrastructure for a proposed highway crossing of Hampton Roads on the physical characteristics (tides, currents, circulation, salinity, and sedimentation) of the James River estuary in Virginia. Model-represented infrastructure included tunnel islands and bridges on pilings connecting the islands to interstate highways in Newport News, Hampton, Norfolk, and Portsmouth, Virginia. Combinations of these elements occur in each of three proposed crossing routes designated Alternative 1 (Hampton-Norfolk), Alternative 2 (Hampton-Norfolk, Norfolk-Portsmouth), and Alternative 9 (Newport News-Portsmouth-Norfolk). Simulation comparisons were made between the existing waterways and infrastructure in Hampton Roads (Base Case) and the proposed construction in a series of model test runs representing both normal and extreme hydrologic conditions. Variations in tidal range were simulated using a three constituent tide model. Three levels of freshwater inflow into the headwaters of the James River were represented using historical stream gauge data. The simulation of sedimentation was designed based on the existence of a \u27turbidity maximum\u27 upstream from the area of concern
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