1,463 research outputs found
Prediction Space Weather Using an Asymmetric Cone Model for Halo CMEs
Halo coronal mass ejections (HCMEs) are responsible of the most severe
geomagnetic storms. A prediction of their geoeffectiveness and travel time to
Earth's vicinity is crucial to forecast space weather.
Unfortunately coronagraphic observations are subjected to projection effects
and do not provide true characteristics of CMEs. Recently, Michalek (2006, {\it
Solar Phys.}, {\bf237}, 101) developed an asymmetric cone model to obtain the
space speed, width and source location of HCMEs. We applied this technique to
obtain the parameters of all front-sided HCMEs observed by the SOHO/LASCO
experiment during a period from the beginning of 2001 until the end of 2002
(solar cycle 23). These parameters were applied for the space weather forecast.
Our study determined that the space speeds are strongly correlated with the
travel times of HCMEs within Earth's vicinity and with the magnitudes related
to geomagnetic disturbances
Stability of a neural network model with small-world connections
Small-world networks are highly clustered networks with small distances among
the nodes. There are many biological neural networks that present this kind of
connections. There are no special weightings in the connections of most
existing small-world network models. However, this kind of simply-connected
models cannot characterize biological neural networks, in which there are
different weights in synaptic connections. In this paper, we present a neural
network model with weighted small-world connections, and further investigate
the stability of this model.Comment: 4 pages, 3 figure
Estimation of the length of interactions in arena game semantics
We estimate the maximal length of interactions between strategies in HO/N
game semantics, in the spirit of the work by Schwichtenberg and Beckmann for
the length of reduction in simply typed lambdacalculus. Because of the
operational content of game semantics, the bounds presented here also apply to
head linear reduction on lambda-terms and to the execution of programs by
abstract machines (PAM/KAM), including in presence of computational effects
such as non-determinism or ground type references. The proof proceeds by
extracting from the games model a combinatorial rewriting rule on trees of
natural numbers, which can then be analyzed independently of game semantics or
lambda-calculus.Comment: Foundations of Software Science and Computational Structures 14th
International Conference, FOSSACS 2011, Saarbr\"ucken : Germany (2011
Anharmonic transitions in nearly dry L-cysteine I
Two special dynamical transitions of universal character have been recently
observed in macromolecules at K and K.
Despite their relevance, a complete understanding of the nature of these
transitions and their consequences for the bio-activity of the macromolecule is
still lacking. Our results and analysis concerning the temperature dependence
of structural, vibrational and thermodynamical properties of the orthorhombic
polymorph of the amino acid L-cysteine (at a hydration level of 3.5%) indicated
that the two referred temperatures define the triggering of very simple and
specific events that govern all the biochemical interactions of the
biomolecule: activation of rigid rotors (), phonon-phonon interactions
with phonons of water dimer (), and water rotational barriers
surpassing ().Comment: 4 pages, 4 figures, submitted to Physical Review Letter
Space Weather Application Using Projected Velocity Asymmetry of Halo CMEs
Halo coronal mass ejections (HCMEs) originating from regions close to the
center of the Sun are likely to be responsible for severe geomagnetic storms.
It is important to predict geo-effectiveness of HCMEs using observations when
they are still near the Sun. Unfortunately, coronagraphic observations do not
provide true speeds of CMEs due to the projection effects. In the present
paper, we present a new technique allowing estimate the space speed and
approximate source location using projected speeds measured at different
position angles for a given HCME (velocity asymmetry). We apply this technique
to HCMEs observed during 2001-2002 and find that the improved speeds are better
correlated with the travel times of HCMEs to Earth and with the magnitudes
ensuing geomagnetic storms.Comment: accepted for [publication in Solar Physic
Scale-free brain functional networks
Functional magnetic resonance imaging (fMRI) is used to extract {\em
functional networks} connecting correlated human brain sites. Analysis of the
resulting networks in different tasks shows that: (a) the distribution of
functional connections, and the probability of finding a link vs. distance are
both scale-free, (b) the characteristic path length is small and comparable
with those of equivalent random networks, and (c) the clustering coefficient is
orders of magnitude larger than those of equivalent random networks. All these
properties, typical of scale-free small world networks, reflect important
functional information about brain states.Comment: 4 pages, 5 figures, 2 table
Low-temperature muon spin rotation studies of the monopole charges and currents in Y doped Ho2Ti2O7
In the ground state of Ho2Ti2O7 spin ice, the disorder of the magnetic moments follows the same rules as the proton disorder in water ice. Excitations take the form of magnetic monopoles that interact via a magnetic Coulomb interaction. Muon spin rotation has been used to probe the low-temperature magnetic behaviour in single crystal Ho2−xYxTi2O7 (x = 0, 0.1, 1, 1.6 and 2). At very low temperatures, a linear field dependence for the relaxation rate of the muon precession λ(B), that in some previous experiments on Dy2Ti2O7 spin ice has been associated with monopole currents, is observed in samples with x = 0, and 0.1. A signal from the magnetic fields penetrating into the silver sample plate due to the magnetization of the crystals is observed for all the samples containing Ho allowing us to study the unusual magnetic dynamics of Y doped spin ice
Combined treatment with caffeic and ferulic acid from Baccharis uncinella C. DC. (Asteraceae) protects against metabolic syndrome in mice
Fractionation of the EtOH extract from aerial parts of Baccharis uncinella C. DC. (Asteraceae) led to isolation of caffeic and ferulic acids, which were identified from spectroscopic and spectrometric evidence. These compounds exhibit antioxidant and anti-inflammatory properties and have been shown to be effective in the prevention/treatment of metabolic syndrome. This study investigated whether the combined treatment of caffeic and ferulic acids exhibits a more significant beneficial effect in a mouse model with metabolic syndrome. The combination treatment with caffeic and ferulic acids was tested for 60 days in C57 mice kept on a high-fat (40%) diet. The data obtained indicated that treatment with caffeic and ferulic acids prevented gain in body weight induced by the high-fat diet and improved hyperglycemia, hypercholesterolemia and hypertriglyceridemia. The expression of a number of metabolically relevant genes was affected in the liver of these animals, showing that caffeic and ferulic acid treatment results in increased cholesterol uptake and reduced hepatic triglyceride synthesis in the liver, which is a likely explanation for the prevention of hepatic steatosis. In conclusion, the combined treatment of caffeic and ferulic acids displayed major positive effects towards prevention of multiple aspects of the metabolic syndrome and liver steatosis in an obese mouse model.CAPESFAPESPMackPesquisaUniv Presbiteriana Mackenzie, Programa Posgrad Disturbios Desenvolvimento, Ctr Ciencias Biol & Saude, Sao Paulo, SP, BrazilUniv Fed Sao Paulo, Dept Med Translac, Escola Paulista Med, Sao Paulo, SP, BrazilUniv Fed ABC, Ctr Ciencias Nat & Humanas, Sao Paulo, SP, BrazilEscola Ciencias Med, Dept Ciencias Patol, Sao Paulo, SP, BrazilUniv Presbiteriana Mackenzie, Escola Engn, Sao Paulo, SP, BrazilUniv Fed Sao Paulo, Inst Ciencias Ambientais Quim & Farmaceut, Sao Paulo, SP, BrazilRush Univ & Med Ctr, Dept Internal Med, Div Endocrinol & Metab, Chicago, IL 60612 USAUniv Fed Sao Paulo, Inst Ciencias Ambientais Quim & Farmaceut, Sao Paulo, SP, BrazilFAPESP: 2011/21847-6Web of Scienc
Comparative analysis of the top six and bottom six teams’ corner kick strategies in the 2015/2016 English Premier League
This study compared the corner kick strategies employed by the top six and
bottom six teams across 120 matches of the 2015/2016 English Premier League
Season. In total, 2,303 corner kicks were examined by univariate analyses
individual χ2 and bivariate analyses with contingency tables (χ2 and association measures). Top six teams favoured an outswinging delivery, whilst the bottom six teams favoured inswinging deliveries (p < 0.001). Top six teams operated a dynamic attacking organisation during ball deliveries, (p < 0.001), whereas the bottom six operated static and dynamic attacking strategies in equal measure. Top six teams took corner kicks frequently when winning or drawing, whereas bottom
six teams took most corner kicks when losing or drawing (match status, p <
0.001). Bivariate analyses identified that goals were scored from corner kicks
when attacking organisation was dynamic, two defenders were on the posts and
the score line was level (p < 0.05). Results supplement the design of practice
tasks that afford successful corner kicks in training and game play scenarios
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