25,294 research outputs found
Yield management research through the analysis of scientific journals: preliminary results
The aim of this paper is to analyse articles relating to Yield Management published in a selection
of journals at international level during the period 1996-2002. These will then subsequently be
classified in accordance with List of Tourism Characteristic Products (drawn up by the World
Tourism Organization and included in the Tourism Satellite Account), with a view to determining,
on the one hand, which sectors data on Yield Management application is available for and, on the
other, exploring new sectors that can be studied and researched. This paper forms part of a broader
based paper which analyses publications relating to Yield Management in texts and monographs.
The general goal of this line of research is to offer future researchers a methodical and exhaustive
analysis of bibliography and research work done on the subject
On the solvability of the Yakubovich linear-quadratic infinite horizon minimization problem
The Yakubovich Frequency Theorem, in its periodic version and in its general
nonautonomous extension, establishes conditions which are equivalent to
the global solvability of a minimization problem of infinite horizon type,
given by the integral in the positive half-line of a quadratic functional
subject to a control system. It also provides the unique minimizing pair
\lq\lq solution, control\rq\rq~and
the value of the minimum. In this paper we establish less restrictive conditions
under which the problem is partially solvable, characterize the set of
initial data for which the minimum exists, and obtain its value as well a
minimizing pair. The occurrence of exponential dichotomy and the
null character of the rotation number for a nonautonomous
linear Hamiltonian system defined
from the minimization problem are fundamental in the analysis.Ministerio de Economía y Competitividad / FEDER, MTM2015-66330-PMinisterio de Ciencia, Innovación y Universidades, RTI2018-096523-B-I00European Commission, H2020-MSCA-ITN-2014INDAM -- GNAMPA Project 201
Characterising epithelial tissues using persistent entropy
In this paper, we apply persistent entropy, a novel topological statis-
tic, for characterization of images of epithelial tissues. We have found
out that persistent entropy is able to summarize topological and geomet-
ric information encoded by -complexes and persistent homology. After
using some statistical tests, we can guarantee the existence of signi cant
di erences in the studied tissues.Ministerio de Economía y Competitividad MTM2015-67072-
E-Democracy and Knowledge. A Multicriteria Framework for the New Democratic Era
This paper analyses a new framework for decision-making in e-democracies that exploits the power of Internet based public knowledge, which is called briefly e-cognocracy. This is not a procedure to improve technical aspects using the Internet (e.g. e-voting); it is rather a procedure to add a new quality to the democratic system by using the network. This proposed system of e-cognocracy would allow those who are interested to solve highly complex problems by participatory decision-making. Furthermore, we suggest the multicriteria framework for the modelling and resolution of such complex problems. Similarly, using the analytic hierarchy process (AHP) approach, we propose decisional (analytic and informatic) tools for searching the knowledge - relevant for the decision-making process. This knowledge of patterns of behaviour, trends, opportunities, decisions and stylised facts will be the starting point of a consensus-reaching process, which is aimed to effectively solve problems of high complexity of the Internet society.E-democracy, Knowledge society, E-cognocracy, Multicriteria, AHP criterion, Consensus
Blurred Boundaries in Ambiguous Space
Publicación exhaustiva de la torre de VPO en Vallecas de entresitio. La revista Space tiene un comité de revisión y selección de artículos formado por arquitectos consagrados de prestigio internacional como son Peter Cook, Peter Eisenman y Arata Isozaki
Persistent entropy: a scale-invariant topological statistic for analyzing cell arrangements
In this work, we develop a method for detecting differences in the topological distribution of cells forming epithelial tissues. In particular, we extract topological information from their images using persistent homology and a summary statistic called persistent entropy. This method is scale invariant, robust to noise and sensitive to global topological features of the tissue. We have found significant differences between chick neuroepithelium and epithelium of Drosophila wing discs in both, larva and prepupal stages. Besides, we have tested our method, with good results, with images of mathematical tesselations that model biological tissues
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