104 research outputs found
Cosmological aspects of the unimodular-mimetic gravity
In this work we introduce and study the unimodular-mimetic
gravity, where unimodular and mimetic constraints are incorporated through
corresponding Lagrange multipliers. We present field equations governing this
theory and discuss their main properties. By using the reconstruction scheme,
we obtain quadratic unimodular-mimetic gravity
capable of describing hybrid expansion law and the power law evolution.
Furthermore, we employ an inverted reconstruction technique in order to derive
specific function that reproduces the Hubble rate of symmetric
bounce. The unimodular-mimetic is also shown to
be compatible with the BICEP2/Keck and Planck data. To this end, we incorporate
updated constraints on the scalar-to-tensor ratio and spectral index, utilizing
a perfect fluid approach to the slow-roll parameters. Through an analysis of
that kind, we demonstrate that the theoretical framework presented here can
indeed characterize inflation that agrees with the observational findings.
Consequently, the introduced extension appears to have potential to describe
and encompass a wide spectrum of cosmological models.Comment: 16 pages, 2 figures, appendi
Measurement-induced nonlocality for observers near a black hole
We present a systematic and complementary study of quantum correlations near
a black hole by considering the measurement-induced nonlocality (MIN). The
quantum measure of interest is discussed on the same footing for the fermionic,
bosonic and mixed fermion-boson modes in relation to the Hawking radiation. The
obtained results show that in the infinite Hawking temperature limit, the
physically accessible correlations does not vanish only in the fermionic case.
However, the higher frequency modes can sustain correlations for the finite
Hawking temperature, with mixed system being more sensitive towards increase of
the fermionic frequencies than the bosonic ones. Since the MIN for the latter
modes quickly diminishes, the increased frequency may be a way to maintain
nonlocal correlations for the scenarios at the finite Hawking temperature.Comment: 4 figure
Effective potential for Polyakov loops from a center symmetric effective theory in three dimensions
We present lattice simulations of a center symmetric dimensionally reduced
effective field theory for SU(2) Yang Mills which employ thermal Wilson lines
and three-dimensional magnetic fields as fundamental degrees of freedom. The
action is composed of a gauge invariant kinetic term, spatial gauge fields and
a potential for the Wilson line which includes a "fuzzy" bag term to generate
non-perturbative fluctuations. The effective potential for the Polyakov loop is
extracted from the simulations including all modes of the loop as well as for
cooled configuration where the hard modes have been averaged out. The former is
found to exhibit a non-analytic contribution while the latter can be described
by a mean-field like ansatz with quadratic and quartic terms, plus a
Vandermonde potential which depends upon the location within the phase diagram.Comment: 10 pages, 22 figures, v2: published version (minor clarifications,
update of reference list
Service interdependencies: insight into use cases for service composition
The paper analyses several most appealing use cases for Semantic Web services and their composition. They are considered from the perspective of service types, QoS parameters, semantic description and user preferences.
We introduce different levels of service composition and discuss implications of the above.Applications in Artificial Intelligence - Ontologies and Intelligent WebRed de Universidades con Carreras en Informática (RedUNCI
Entropy of financial time series due to the shock of war
The concept of entropy is not uniquely relevant to the statistical mechanics
but among others it can play pivotal role in the analysis of a time series,
particularly the stock market data. In this area sudden events are especially
interesting as they describe abrupt data changes which may have long-lasting
effects. Here, we investigate the impact of such events on the entropy of
financial time series. As a case study we assume data of polish stock market in
the context of its main cumulative index. This index is discussed for the
finite time periods before and after outbreak of the 2022 Russian invasion of
Ukraine, acting as the sudden event. The analysis allows us to validate the
entropy-based methodology in assessing market changes as driven by the extreme
external factors. We show that qualitative features of market changes can be
captured quantitatively in terms of the entropy. In addition to that, the
magnitude of the impact is analysed over various time periods in terms of the
introduced entropic index. To this end, the present work also attempts to
answer whether or not the recent war can be considered as a reason or at least
catalyst to the current economic crisis.Comment: 8 pages, 5 figure
Economization methods used by low-cost airlines : an overview
PURPOSE: The crisis caused by the pandemic has forced airlines (both full-service carriers
(FCC) and low cost carriers (LCC)) to review their business models and look for
opportunities to make up for losses. The goal of this paper is to review the cost optimization
methods used by LCC airlines and to identify the activities of LCC that were taken to
reduce costs.DESIGN/METHODOLOGY/APPROACH: The analysis of the areas of economization of activities
undertaken by the LCC carried out in the article is the result of a literature review of
business models used by LCC carriers.FINDINGS: The conducted literature analysis allowed for the identification of seven main
areas in which measures are taken to reduce the costs of the LCC line.PRACTICAL IMPLICATIONS: Economization methods implemented by LCC lines at the strategic
level reduce the carrier's costs and can be adapted to the market in which it operates.ORIGINALITY/VALUE: Although the business models used by LCC lines are not a new topic, the
review of economization methods from a strategic perspective presented in the article has
not been discussed in the literature.peer-reviewe
Service interdependencies: insight into use cases for service composition
The paper analyses several most appealing use cases for Semantic Web services and their composition. They are considered from the perspective of service types, QoS parameters, semantic description and user preferences.
We introduce different levels of service composition and discuss implications of the above.Applications in Artificial Intelligence - Ontologies and Intelligent WebRed de Universidades con Carreras en Informática (RedUNCI
Service interdependencies: insight into use cases for service composition
Abstract. The paper analyses several most appealing use cases for Semantic Web services and their composition. They are considered from the perspective of service types, QoS parameters, semantic description and user preferences. We introduce different levels of service composition and discuss implications of the above
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