180 research outputs found
Innovación y políticas públicas como factores para promover el desarrollo de organizaciones de turismo en Colombia
the tourism sector plays a crucial role in the economic and social development of regions, making it important to analyze it from variousperspectives. One such perspective is the dynamics underlying organizational innovation within the sector, as influenced by state actions and theirimpact on outcomes. Therefore, the aim of this research is to examine the relationship between public policies and innovation in tourism companies,recognizing it as a fundamental factor for promoting actions that enhance organizational competitiveness. This correlational study focused on analyzing data obtained from a survey administered to 100 small and medium-sized tourism enterprises in a specific region of Colombiabetween 2020 and 2021. The collected data were analyzed using a second-generation multivariate method called partial least squares structuralequation modeling (PLS-SEM) through SmartPLS software. The findings of this study confirmed the existence of a significant relationship betweenthe management of public policies, specifically observed through transparency, and the level of innovation within the analyzed organizations.Moreover, the structural model exhibited a satisfactory fit, and all four hypotheses formulated for the transparency construct and its relationshipwith innovation were supported. Therefore, by enhancing governance practices such as good governance and anti-corruption measures, organizationscan foster a culture of innovation that permeates throughout their operations.el sector turismo por su importancia en el desarrollo económico y social de los territorios merece ser analizado desde diferentes perspectivas,como, por ejemplo, la dinámica que subyace a la innovación de las organizaciones del sector; por cuenta de las acciones del Estado ysu injerencia en los resultados de estas. En ese sentido, el propósito de esta investigación es establecer la relación entre las políticas públicas y lainnovación de las empresas del sector turismo, como factor fundamental para promover acciones dirigidas a fortalecer la competitividad de lasorganizaciones. Este estudio correlacional analizó los resultados obtenidos de un instrumento aplicado a 100 pequeñas y medianas empresasturísticas en una región de Colombia durante 2020-2021. Los datos se analizaron utilizando un método multivariado de segunda generación,conocido como modelado de ecuaciones estructurales de mínimos cuadrados parciales, a través del software SmartPLS. Fue posible verificarla validez de la relación entre la gestión de las políticas públicas, observada a partir de su transparencia, y la innovación en las organizacionesanalizadas. Igualmente, el valor del modelo estructural mostró un buen ajuste y las cuatro hipótesis propuestas para el constructo de transparenciay su relación con la innovación son válidas, por lo que, al mejorar la gobernanza desde pilares como el buen gobierno y prácticasanticorrupción, se puede favorecer la generación transversal de innovación en las organizaciones
Energy Estimation of Cosmic Rays with the Engineering Radio Array of the Pierre Auger Observatory
The Auger Engineering Radio Array (AERA) is part of the Pierre Auger
Observatory and is used to detect the radio emission of cosmic-ray air showers.
These observations are compared to the data of the surface detector stations of
the Observatory, which provide well-calibrated information on the cosmic-ray
energies and arrival directions. The response of the radio stations in the 30
to 80 MHz regime has been thoroughly calibrated to enable the reconstruction of
the incoming electric field. For the latter, the energy deposit per area is
determined from the radio pulses at each observer position and is interpolated
using a two-dimensional function that takes into account signal asymmetries due
to interference between the geomagnetic and charge-excess emission components.
The spatial integral over the signal distribution gives a direct measurement of
the energy transferred from the primary cosmic ray into radio emission in the
AERA frequency range. We measure 15.8 MeV of radiation energy for a 1 EeV air
shower arriving perpendicularly to the geomagnetic field. This radiation energy
-- corrected for geometrical effects -- is used as a cosmic-ray energy
estimator. Performing an absolute energy calibration against the
surface-detector information, we observe that this radio-energy estimator
scales quadratically with the cosmic-ray energy as expected for coherent
emission. We find an energy resolution of the radio reconstruction of 22% for
the data set and 17% for a high-quality subset containing only events with at
least five radio stations with signal.Comment: Replaced with published version. Added journal reference and DO
Measurement of the Radiation Energy in the Radio Signal of Extensive Air Showers as a Universal Estimator of Cosmic-Ray Energy
We measure the energy emitted by extensive air showers in the form of radio
emission in the frequency range from 30 to 80 MHz. Exploiting the accurate
energy scale of the Pierre Auger Observatory, we obtain a radiation energy of
15.8 \pm 0.7 (stat) \pm 6.7 (sys) MeV for cosmic rays with an energy of 1 EeV
arriving perpendicularly to a geomagnetic field of 0.24 G, scaling
quadratically with the cosmic-ray energy. A comparison with predictions from
state-of-the-art first-principle calculations shows agreement with our
measurement. The radiation energy provides direct access to the calorimetric
energy in the electromagnetic cascade of extensive air showers. Comparison with
our result thus allows the direct calibration of any cosmic-ray radio detector
against the well-established energy scale of the Pierre Auger Observatory.Comment: Replaced with published version. Added journal reference and DOI.
Supplemental material in the ancillary file
A search for ultra-high-energy photons at the Pierre Auger Observatory exploiting air-shower universality
The Pierre Auger Observatory is the most sensitive detector to primary photons with energies above ∼0.2 EeV. It measures extensive air showers using a hybrid technique that combines a fluorescence detector (FD) with a ground array of particle detectors (SD). The signatures of a photon-induced air shower are a larger atmospheric depth at the shower maximum (X) and a steeper lateral distribution function, along with a lower number of muons with respect to the bulk of hadron-induced background. Using observables measured by the FD and SD, three photon searches in different energy bands are performed. In particular, between threshold energies of 1-10 EeV, a new analysis technique has been developed by combining the FD-based measurement of X with the SD signal through a parameter related to its muon content, derived from the universality of the air showers. This technique has led to a better photon/hadron separation and, consequently, to a higher search sensitivity, resulting in a tighter upper limit than before. The outcome of this new analysis is presented here, along with previous results in the energy ranges below 1 EeV and above 10 EeV. From the data collected by the Pierre Auger Observatory in about 15 years of operation, the most stringent constraints on the fraction of photons in the cosmic flux are set over almost three decades in energy
Study on multi-ELVES in the Pierre Auger Observatory
Since 2013, the four sites of the Fluorescence Detector (FD) of the Pierre Auger Observatory record ELVES with a dedicated trigger. These UV light emissions are correlated to distant lightning strikes. The length of recorded traces has been increased from 100 μs (2013), to 300 μs (2014-16), to 900 μs (2017-present), to progressively extend the observation of the light emission towards the vertical of the causative lightning and beyond. A large fraction of the observed events shows double ELVES within the time window, and, in some cases, even more complex structures are observed. The nature of the multi-ELVES is not completely understood but may be related to the different types of lightning in which they are originated. For example, it is known that Narrow Bipolar Events can produce double ELVES, and Energetic In-cloud Pulses, occurring between the main negative and upper positive charge layer of clouds, can induce double and even quadruple ELVES in the ionosphere. This report shows the seasonal and daily dependence of the time gap, amplitude ratio, and correlation between the pulse widths of the peaks in a sample of 1000+ multi-ELVES events recorded during the period 2014-20. The events have been compared with data from other satellite and ground-based sensing devices to study the correlation of their properties with lightning observables such as altitude and polarity
Extraction of the Muon Signals Recorded with the Surface Detector of the Pierre Auger Observatory Using Recurrent Neural Networks
We present a method based on the use of Recurrent Neural Networks to extract the muon component from the time traces registered with water-Cherenkov detector (WCD) stations of the Surface Detector of the Pierre Auger Observatory. The design of the WCDs does not allow to separate the contribution of muons to the time traces obtained from the WCDs from those of photons, electrons and positrons for all events. Separating the muon and electromagnetic components is crucial for the determination of the nature of the primary cosmic rays and properties of the hadronic interactions at ultra-high energies.
We trained a neural network to extract the muon and the electromagnetic components from the WCD traces using a large set of simulated air showers, with around 450 000 simulated events. For training and evaluating the performance of the neural network, simulated events with energies between 1018.5, eV and 1020 eV and zenith angles below 60 degrees were used. We also study the performance of this method on experimental data of the Pierre Auger Observatory and show that our predicted muon lateral distributions agree with the parameterizations obtained by the AGASA collaboration
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