60 research outputs found
El nuevo Código Procesal Penal de la Nación Argentina
El nuevo Código Procesal Penal de la Nación Argentin
Fragmentation versus Stability in Bimodal Coalitions
Competing bimodal coalitions among a group of actors are discussed. First, a
model from political sciences is revisited. Most of the model statements are
found not to be contained in the model. Second, a new coalition model is built.
It accounts for local versus global alignment with respect to the joining of a
coalition. The existence of two competing world coaltions is found to yield one
unique stable distribution of actors. On the opposite a unique world leadership
allows the emergence of unstable relationships. In parallel to regular actors
which have a clear coalition choice, ``neutral" ``frustrated" and ``risky"
actors are produced. The cold war organisation after world war II is shown to
be rather stable. The emergence of a fragmentation process from eastern group
disappearance is explained as well as continuing western group stability. Some
hints are obtained about possible policies to stabilize world nation
relationships. European construction is analyzed with respect to european
stability. Chinese stability is also discussed.Comment: 14 pages, latex, no figures, to appear in Physica
Frustration - how it can be measured
A misfit parameter is used to characterize the degree of frustration of
ordered and disordered systems. It measures the increase of the ground-state
energy due to frustration in comparison with that of a relevant reference
state. The misfit parameter is calculated for various spin-glass models. It
allows one to compare these models with each other. The extension of this
concept to other combinatorial optimization problems with frustration, e.g.
p-state Potts glasses, graph-partitioning problems and coloring problems is
given.Comment: 10 pages, 1 table, no figures, uses revtex.st
Towards Scalable Real-time Analytics:: An Architecture for Scale-out of OLxP Workloads
We present an overview of our work on the SAP HANA Scale-out Extension, a novel distributed database architecture designed to support large scale analytics over real-time data. This platform permits high performance OLAP with massive scale-out capabilities, while concurrently allowing OLTP workloads. This dual capability enables analytics over real-time changing data and allows fine grained user-specified service level agreements (SLAs) on data freshness. We advocate the decoupling of core database components such as query processing, concurrency control, and persistence, a design choice made possible by advances in high-throughput low-latency networks and storage devices. We provide full ACID guarantees and build on a logical timestamp mechanism to provide MVCC-based snapshot isolation, while not requiring synchronous updates of replicas. Instead, we use asynchronous update propagation guaranteeing consistency with timestamp validation. We provide a view into the design and development of a large scale data management platform for real-time analytics, driven by the needs of modern enterprise customers
Stochastic Renormalization Group in Percolation: I. Fluctuations and Crossover
A generalization of the Renormalization Group, which describes
order-parameter fluctuations in finite systems, is developed in the specific
context of percolation. This ``Stochastic Renormalization Group'' (SRG)
expresses statistical self-similarity through a non-stationary branching
process. The SRG provides a theoretical basis for analytical or numerical
approximations, both at and away from criticality, whenever the correlation
length is much larger than the lattice spacing (regardless of the system size).
For example, the SRG predicts order-parameter distributions and finite-size
scaling functions for the complete crossover between phases. For percolation,
the simplest SRG describes structural quantities conditional on spanning, such
as the total cluster mass or the minimum chemical distance between two
boundaries. In these cases, the Central Limit Theorem (for independent random
variables) holds at the stable, off-critical fixed points, while a ``Fractal
Central Limit Theorem'' (describing long-range correlations) holds at the
unstable, critical fixed point. This first part of a series of articles
explains these basic concepts and a general theory of crossover. Subsequent
parts will focus on limit theorems and comparisons of small-cell SRG
approximations with simulation results.Comment: 33 pages, 6 figures, to appear in Physica A; v2: some typos corrected
and Eqs. (26)-(27) cast in a simpler (but equivalent) for
Dynamic structure factor of the Ising model with purely relaxational dynamics
We compute the dynamic structure factor for the Ising model with a purely
relaxational dynamics (model A). We perform a perturbative calculation in the
expansion, at two loops in the high-temperature phase and at one
loop in the temperature magnetic-field plane, and a Monte Carlo simulation in
the high-temperature phase. We find that the dynamic structure factor is very
well approximated by its mean-field Gaussian form up to moderately large values
of the frequency and momentum . In the region we can investigate,
, , where is the correlation
length and the zero-momentum autocorrelation time, deviations are at
most of a few percent.Comment: 21 pages, 3 figure
Nonequilibrium relaxation of the two-dimensional Ising model: Series-expansion and Monte Carlo studies
We study the critical relaxation of the two-dimensional Ising model from a
fully ordered configuration by series expansion in time t and by Monte Carlo
simulation. Both the magnetization (m) and energy series are obtained up to
12-th order. An accurate estimate from series analysis for the dynamical
critical exponent z is difficult but compatible with 2.2. We also use Monte
Carlo simulation to determine an effective exponent, z_eff(t) = - {1/8} d ln t
/d ln m, directly from a ratio of three-spin correlation to m. Extrapolation to
t = infinity leads to an estimate z = 2.169 +/- 0.003.Comment: 9 pages including 2 figure
Serine 25 phosphorylation inhibits RIPK1 kinase-dependent cell death in models of infection and inflammation
RIPK1 regulates cell death and inflammation through kinase-dependent and -independent mechanisms. As a scaffold, RIPK1 inhibits caspase-8-dependent apoptosis and RIPK3/MLKL-dependent necroptosis. As a kinase, RIPK1 paradoxically induces these cell death modalities. The molecular switch between RIPK1 pro-survival and pro-death functions remains poorly understood. We identify phosphorylation of RIPK1 on Ser25 by IKKs as a key mechanism directly inhibiting RIPK1 kinase activity and preventing TNF-mediated RIPK1-dependent cell death. Mimicking Ser25 phosphorylation (S > D mutation) protects cells and mice from the cytotoxic effect of TNF in conditions of IKK inhibition. In line with their roles in IKK activation, TNF-induced Ser25 phosphorylation of RIPK1 is defective in TAK1- or SHARPIN-deficient cells and restoring phosphorylation protects these cells from TNF-induced death. Importantly, mimicking Ser25 phosphorylation compromises the in vivo cell death-dependent immune control of Yersinia infection, a physiological model of TAK1/IKK inhibition, and rescues the cell death-induced multi-organ inflammatory phenotype of the SHARPIN-deficient mice
Spin flip probabilities in the 3-D diluted Ising model
According to Ray and Jan the cluster development in a spin glass can be described by
calculating spin flip probabilities and by association of rarely flipping spins. We show that
for the pure ferromagnetic Ising model the predicted Ray-Jan percolation transition
temperature does not agree with the phase transition of the Ising system. Both diluted and
undiluted Ising model show critical percolation spin flipping rates bigger that the Ray-Jan
values
Confirmation of Rieger definition of Ising clusters
A very simple definition of Ising clusters was introduced by Rieger which joins spins with an
average individual magnetization opposite to the global magnetization. Involving percolation
methods we get very good agreements between the critical temperatures and the percolation
thresholds of diluted and undiluted Ising systems in various dimensions
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