13,962 research outputs found
Effective perihelion advance and potentials in a conformastatic background with magnetic field
An Exact solution of the Einstein-Maxwell field equations for a
conformastatic metric with magnetized sources is study. In this context,
effective potential are studied in order to understand the dynamics of the
magnetic field in galaxies. We derive the equations of motion for neutral and
charged particles in a spacetime background characterized by this class of
solutions. In this particular case, we investigate the main physical properties
of equatorial circular orbits and related effective potentials. In addition, we
obtain an effective analytic expression for the perihelion advance of test
particles. Our theoretical predictions are compared with the observational data
calibrated with the ephemerides of the planets of the Solar system and the Moon
(EPM2011). We show that, in general, the magnetic punctual mass predicts values
that are in better agreement with observations than the values predicted in
Einstein gravity alone.Comment: 11 pages, 6 figures. arXiv admin note: substantial text overlap with
arXiv:1601.0074
Local Government, Taxes, and Guns: Successful Policy Innovation in Three Colombian Cities
This paper evaluates transformative policy innovations with respect to security and taxation in the three main Colombian cities: Bogotá, Medellín, and Cali. In the first two, such policies were associated with huge success. Elsewhere we (Gutiérrez et al. 2009) have tagged these transformation processes as ‘urban/metropolitan miracles’. The term comes from the fact that both common citizens and pundits considered these to be extremely unlikely, that they were fast, and that they were large-scale. We argue, that the success of Bogotá and Medellín was the result of a set of institutional underpinnings basically related to the 1991 constitution; the opening of a window of opportunity for new political actors; and, as a result, the formation of a new government coalition and ‘governance formula’. Anti-particularism was a language related to political demands— linked organically with the pro-1991 constitution movement—which became effective .../urban security, state building, public policies
Two-dimensional Einstein manifolds in geometrothermodynamics
We present a class of thermodynamic systems with constant thermodynamic
curvature which, within the context of geometric approaches of thermodynamics,
can be interpreted as constant thermodynamic interaction among their
components. In particular, for systems constrained by the vanishing of the
Hessian curvature we write down the systems of partial differential equations.
In such a case it is possible to find a subset of solutions lying on a
circumference in an abstract space constructed from the first derivatives of
the isothermal coordinates. We conjecture that solutions on the characteristic
circumference are of physical relevance, separating them from those of pure
mathematical interest. We present the case of a one-parameter family of
fundamental relations that -- when lying in the circumference -- describe a
polytropic fluid
Dissimilarity metric based on local neighboring information and genetic programming for data dissemination in vehicular ad hoc networks (VANETs)
This paper presents a novel dissimilarity metric based on local neighboring information
and a genetic programming approach for efficient data dissemination in Vehicular Ad Hoc Networks
(VANETs). The primary aim of the dissimilarity metric is to replace the Euclidean distance in
probabilistic data dissemination schemes, which use the relative Euclidean distance among vehicles
to determine the retransmission probability. The novel dissimilarity metric is obtained by applying a
metaheuristic genetic programming approach, which provides a formula that maximizes the Pearson
Correlation Coefficient between the novel dissimilarity metric and the Euclidean metric in several
representative VANET scenarios. Findings show that the obtained dissimilarity metric correlates with
the Euclidean distance up to 8.9% better than classical dissimilarity metrics. Moreover, the obtained
dissimilarity metric is evaluated when used in well-known data dissemination schemes, such as
p-persistence, polynomial and irresponsible algorithm. The obtained dissimilarity metric achieves
significant improvements in terms of reachability in comparison with the classical dissimilarity
metrics and the Euclidean metric-based schemes in the studied VANET urban scenarios
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