scholarly journals Evolution of semilocal string networks: Large-scale properties

2014 ◽  
Vol 89 (6) ◽  
Author(s):  
A. Achúcarro ◽  
A. Avgoustidis ◽  
A. M. M. Leite ◽  
A. Lopez-Eiguren ◽  
C. J. A. P. Martins ◽  
...  
Keyword(s):  
Large Scale ◽  
Scale Properties ◽  
String Networks

scholarly journals deepNF: Deep network fusion for protein function prediction

2017 ◽  
Author(s):  
Vladimir Gligorijević ◽  
Meet Barot ◽  
Richard Bonneau
Keyword(s):  
Protein Function ◽  
Large Scale ◽  
Protein Function Prediction ◽  
Predictive Performance ◽  
Substantial Improvement ◽  
Function Prediction ◽  
Interaction Networks ◽  
Highly Nonlinear ◽  
High Level ◽  
String Networks

AbstractThe prevalence of high-throughput experimental methods has resulted in an abundance of large-scale molecular and functional interaction networks. The connectivity of these networks provide a rich source of information for inferring functional annotations for genes and proteins. An important challenge has been to develop methods for combining these heterogeneous networks to extract useful protein feature representations for function prediction. Most of the existing approaches for network integration use shallow models that cannot capture complex and highly-nonlinear network structures. Thus, we propose deepNF, a network fusion method based on Multimodal Deep Autoencoders to extract high-level features of proteins from multiple heterogeneous interaction networks. We apply this method to combine STRING networks to construct a common low-dimensional representation containing high-level protein features. We use separate layers for different network types in the early stages of the multimodal autoencoder, later connecting all the layers into a single bottleneck layer from which we extract features to predict protein function. We compare the cross-validation and temporal holdout predictive performance of our method with state-of-the-art methods, including the recently proposed method Mashup. Our results show that our method outperforms previous methods for both human and yeast STRING networks. We also show substantial improvement in the performance of our method in predicting GO terms of varying type and specificity.AvailabilitydeepNF is freely available at: https://github.com/VGligorijevic/deepNF

scholarly journals Measuring and calibrating galactic synchrotron emission

2008 ◽  
Vol 4 (S259) ◽  
pp. 603-612 ◽  
Author(s):  
Wolfgang Reich ◽  
Patricia Reich
Keyword(s):  
Large Scale ◽  
Angular Resolution ◽  
Galactic Plane ◽  
Synchrotron Emission ◽  
Diffuse Emission ◽  
Sky Surveys ◽  
Zero Level ◽  
The Galaxy ◽  
Scale Properties ◽  
Relative Measurements

AbstractOur position inside the Galaxy requires all-sky surveys to reveal its large-scale properties. The zero-level calibration of all-sky surveys differs from standard ‘relative’ measurements, where a source is measured in respect to its surroundings. All-sky surveys aim to include emission structures of all angular scales exceeding their angular resolution including isotropic emission components. Synchrotron radiation is the dominating emission process in the Galaxy up to frequencies of a few GHz, where numerous ground based surveys of the total intensity up to 1.4 GHz exist. Its polarization properties were just recently mapped for the entire sky at 1.4 GHz. All-sky total intensity and linear polarization maps from WMAP for frequencies of 23 GHz and higher became available and complement existing sky maps. Galactic plane surveys have higher angular resolution using large single-dish or synthesis telescopes. Polarized diffuse emission shows structures with no relation to total intensity emission resulting from Faraday rotation effects in the interstellar medium. The interpretation of these polarization structures critically depends on a correct setting of the absolute zero-level in Stokes U and Q.

scholarly journals Large-Scale Properties of the Tilt of Sunspot Groups and Joy’s Law Near the Solar Equator

Astrophysics ◽  
2019 ◽  
Vol 62 (2) ◽  
pp. 261-275 ◽  
Author(s):  
K. M. Kuzanyan ◽  
N. Safiullin ◽  
N. Kleeorin ◽  
I. Rogachevskii ◽  
S. Porshnev
Keyword(s):  
Large Scale ◽  
Scale Properties ◽  
Sunspot Groups

Structure, Salinity and Density of Multi-Year Sea Ice Pressure Ridges

1985 ◽  
Vol 107 (4) ◽  
pp. 493-497 ◽  
Author(s):  
J. A. Richter-Menge ◽  
G. F. N. Cox
Keyword(s):  
Sea Ice ◽  
Large Scale ◽  
Beaufort Sea ◽  
Pressure Ridge ◽  
Sample Data ◽  
Ice Loads ◽  
Scale Properties ◽  
Ice Pressure

Data are presented on the variation of ice structure, salinity, and density in multi-year pressure ridges from the Beaufort Sea. Two continuous multi-year pressure ridge cores are examined as well as ice sample data from numerous other pressure ridges. The results suggest that the large scale properties of multi-year pressure ridges are not isotropic, and that the use of anisotropic ridge models may result in lower design ridge ice loads.

Langmuir turbulence as a critical phenomenon. Part 2. Application of the dynamical renormalization group method

1980 ◽  
Vol 24 (3) ◽  
pp. 421-443 ◽  
Author(s):  
Guy Pelletier
Keyword(s):  
Renormalization Group ◽  
Large Scale ◽  
Critical Phenomenon ◽  
Critical Curve ◽  
Group Method ◽  
Renormalization Group Method ◽  
Scaling Invariance ◽  
Correlation Spectrum ◽  
Scale Properties ◽  
Modulation Regime

In part 1 of this work, we have found a ‘critical curve’ which separates the unstable self-modulation regime from the stable one for a Gibbs ensemble of interacting modes. On this critical curve, the correlation length diverges and scaling invariance occurs; in particular, the Langmuir correlation spectrum is proportional to k-2. Simple laws have been derived for the neighbourhood of the critical curve. However these derivations are based on equilibrium statistical mechanics and the results are obtained with a Hartree approximation which has not been checked. So, in this second part, we elaborate a direct statistical theory of Zakharov's equations completed by excitation sources and dissipations. In spite of infra-red divergences and a large fluctuation level, large-scale properties are derived in the neighbourhood of the critical curve, by the renormalization group method. The laws obtained in part 1 are slightly modified; however, the same spectrum is obtained.

The magnetic evolution of the Taurus molecular clouds. I - Large-scale properties

1987 ◽  
Vol 321 ◽  
pp. 855 ◽  
Author(s):  
Mark H. Heyer ◽  
Frederick J. Vrba ◽  
Ronald L. Snell ◽  
F. P. Schloerb ◽  
Stephen E. Strom ◽  
...  
Keyword(s):  
Molecular Clouds ◽  
Large Scale ◽  
Scale Properties
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