17,162 research outputs found
Ébola in TChM: Diagnosis, Principles of Treatment and Economical Analysis
InvestigaciĂłn sobre etiologĂa y tratamiento con MTC del Ă©bola, especial referencia al entorno econĂłmicoIn this research we go more deeply into EVD, studying the Etiology and realizing a Differentiation of Syndromes according to the systems: Wen Bing, San Jiao and Han Shan Lun. Later, a Treatment for Prevention, Symptomatic/Acute, and Remission phases is proposed. Finally, we study the economic effects of the epidemic in the most affected countries by stressing the importance of preventive health care and international aid, looking at the usefulness of Medical Matter for its low cost especially in the affected societies (that probably they will return to be).Universidad de Málaga. Campus de Excelencia Internacional AndalucĂa Tech
Recursive linear estimation for discrete time systems in the presence of different multiplicative observation noises
This paper describes a design for a least mean square error estimator in discrete time systems where the components of the state vector, in measurement equation, are corrupted by different multiplicative noises in addition to observation noise. We show how known results can be considered a particular case of the algorithm stated in this paperState estimation, multiplicative noise, uncertain observations
Symmetry limit properties of a priori mixing amplitudes for non-leptonic and weak radiative decays of hyperons
We show that the so-called parity-conserving amplitudes predicted in the a
priori mixing scheme for non-leptonic and weak radiative decays of hyperons
vanish in the strong-flavor symmetry limit
Wetland restoration and nitrate reduction: the example of the periurban wetland of Vitoria-Gasteiz (Basque Country, North Spain)
Changes in land use and agricultural intensification caused wetlands on the quaternary aquifer of Vitoria-Gasteiz (Basque Country) to disappear some years ago and nitrate concentration in groundwaters increased very quickly. The Basque Government recently declared the East Sector of this aquifer a Vulnerable Zone according to the 91/676/CEE European Directive. Recently, the wetlands have been restored through the closure of the main drainage ditches, the consequent elevation of the water table and the abondonment of agricultural practices near the wetlands. This is the case of the Zurbano wetland. Restoration has allowed the recovery of its biogeochemical function, which has reduced nitrate concentrations in waters. Nitrate concentrations which exceed 50 mg l–1 in groundwaters entering into the wetland are less than 10 mg l–1 at the outlet. Conditions in the wetland are conducive to the loss of nitrates: organic matter rich wetted soils, clay presence allowing a local semiconfined flow and very low hydraulic gradient. Water quality monitoring at several points around the wetland showed the processes involved in nitrate loss, although some aspects still remain unresolved. However, during storm events, the wetland effectively reduces the nitrate concentration entering the Alegria River, the most important river on the quaternary aquifer
Seasonal dynamic factor analysis and bootstrap inference : application to electricity market forecasting
Year-ahead forecasting of electricity prices is an important issue in the current context of
electricity markets. Nevertheless, only one-day-ahead forecasting is commonly tackled up in
previous published works. Moreover, methodology developed for the short-term does not work
properly for long-term forecasting.
In this paper we provide a seasonal extension of the Non-Stationary Dynamic Factor Analysis,
to deal with the interesting problem (both from the economic and engineering point of view) of
long term forecasting of electricity prices. Seasonal Dynamic Factor Analysis (SeaDFA) allows
to deal with dimensionality reduction in vectors of time series, in such a way that extracts
common and specific components. Furthermore, common factors are able to capture not only
regular dynamics (stationary or not) but also seasonal one, by means of common factors
following a multiplicative seasonal VARIMA(p,d,q)Ă—(P,D,Q)s model.
Besides, a bootstrap procedure is proposed to be able to make inference on all the parameters
involved in the model. A bootstrap scheme developed for forecasting includes uncertainty due
to parameter estimation, allowing to enhance the coverage of forecast confidence intervals.
Concerning the innovative and challenging application provided, bootstrap procedure developed
allows to calculate not only point forecasts but also forecasting intervals for electricity prices
On the generalized Feng-Rao numbers of numerical semigroups generated by intervals
We give some general results concerning the computation of the generalized
Feng-Rao numbers of numerical semigroups. In the case of a numerical semigroup
generated by an interval, a formula for the Feng-Rao number is
obtained.Comment: 23 pages, 6 figure
Isocausal spacetimes may have different causal boundaries
We construct an example which shows that two isocausal spacetimes, in the
sense introduced by Garc\'ia-Parrado and Senovilla, may have c-boundaries which
are not equal (more precisely, not equivalent, as no bijection between the
completions can preserve all the binary relations induced by causality). This
example also suggests that isocausality can be useful for the understanding and
computation of the c-boundary.Comment: Minor modifications, including the title, which matches now with the
published version. 12 pages, 3 figure
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