29 research outputs found
Utilización de tarjetas inteligentes para estimar matrices origen-destino. Aplicación al sistema Megabús, Pereira
In the operational planning of transport systems, it is essential to have a characterization of the demand for the service by means of an Origin-estination (OD) Matrix of travels. This matrix is frequently estimated using statistical sampling techniques, which offer high-quality results but require complex design and high cost. It is therefore appropriate to take advantage of the information that is generated from the records of the smart cards used as means of payment in the systems that provide this technology. This source of information allows for obtaining estimates of high-quality Origin–Destination (OD) matrix with a low cost. In this work, it is implemented a methodology for the estimation of an Origin–Destination (OD) matrix between bus stations in the public transport system of MEGABÚS in the city of Pereira. The methodology allows for a debugging in the database taking into account the peculiarities of the system as the forms of income, type of card, and resale of tickets. In addition, it considers the possibility that a user can decide to step down at an intermediate station close to his destination station using the parameterization of a penalty factor that is associated with the walking-travel time in the objective function. The inclusion of the factor does not significantly influence the total percentage of estimated travels. Nevertheless, it recalculates some values of the Origin-Destination (OD) Matrix considering the alight in intermediate stations. The proposed method makes possible to estimate OD matrices for different time windows for any day of the week and different times of the year.En la planificación operativa de los sistemas de transporte es fundamental contar con una caracterización de la demanda del servicio por medio de una matriz origendestino (OD) de viajes. Esta matriz es estimada frecuentemente mediante técnicas de muestreo estadístico que ofrecen resultados de gran calidad pero requieren diseño e implementación compleja y de alto costo. Así, se hace pertinente aprovechar la información de los registros de las tarjetas inteligentes usadas como medios de pago en los sistemas que tienen esta tecnología. Esta fuente de información permite obtener estimaciones de matrices OD de gran calidad con un costo bajo. En este trabajo se implementa una metodología para la estimación de una matriz origen-destino entre estaciones de buses en el sistema de transporte público de Megabús en la ciudad de Pereira. La metodología permite depurar la base de datos teniendo en cuenta las particularidades del sistema, como las formas de ingreso, tipo de tarjeta, reventa de pasajes, y además considera la posibilidad de que un usuario pueda decidir bajarse en una estación intermedia cercana a su estación destino mediante la parametrización de un factor de penalización que está asociado con el tiempo de viaje caminando en la función objetivo. La inclusión del factor no influye significativamente en el porcentaje total de viajes estimados pero sí ajusta algunos valores de la matriz origen-destino, al considerar los descensos en estaciones intermedias. El método posibilita estimar matrices OD para diferentes ventanas de tiempo de cualquier día de la semana y distintas épocas del año
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FROM GLOBAL TO SPATIALLY RESOLVED IN LOW-REDSHIFT GALAXIES
Our understanding of the structure, composition and evolution of galaxies has strongly improved in the last decades, mostly due to new results based on large spectroscopic and imaging surveys. In particular, the nature of ionized gas, its ionization mechanisms, its relation with the stellar properties and chemical composition, the existence of scaling relations that describe the cycle between stars and gas, and the corresponding evolution patterns have been widely explored and described. More recently, the introduction of additional techniques, in particular integral field spectroscopy, and their use in large galaxy surveys, have forced us to re-interpret most of those recent results from a spatially resolved perspective. This review is aimed to complement recent efforts to compile and summarize this change of paradigm in the interpretation of galaxy evolution. To this end we replicate published results, and present novel ones, based on the largest compilation of IFS data of galaxies in the nearby universe to date. © 2021: Instituto de Astronomía, Universidad Nacional Autónoma de México
Characterizing SL2S galaxy groups using the Einstein radius
We analyzed the Einstein radius, , in our sample of SL2S galaxy
groups, and compared it with (the distance from the arcs to the center of
the lens), using three different approaches: 1.- the velocity dispersion
obtained from weak lensing assuming a Singular Isothermal Sphere profile
(), 2.- a strong lensing analytical method ()
combined with a velocity dispersion-concentration relation derived from
numerical simulations designed to mimic our group sample, 3.- strong lensing
modeling () of eleven groups (with four new models presented in
this work) using HST and CFHT images. Finally, was analyzed as a function
of redshift to investigate possible correlations with L, N, and the
richness-to-luminosity ratio (N/L). We found a correlation between
and , but with large scatter. We estimate = (2.2 0.9)
+ (0.7 0.2), = (0.4 1.5) + (1.1
0.4), and = (0.4 1.5) + (0.9 0.3) for
each method respectively. We found a weak evidence of anti-correlation between
and , with Log = (0.580.06) - (0.040.1), suggesting
a possible evolution of the Einstein radius with , as reported previously by
other authors. Our results also show that is correlated with L and N
(more luminous and richer groups have greater ), and a possible
correlation between and the N/L ratio. Our analysis indicates that
is correlated with in our sample, making useful to
characterize properties like L and N (and possible N/L) in galaxy groups.
Additionally, we present evidence suggesting that the Einstein radius evolves
with .Comment: Accepted for publication in Astronomy & Astrophysics. Typos correcte
Galaxy properties from J-PAS narrow-band photometry
We study the consistency of the physical properties of galaxies retrieved
from SED-fitting as a function of spectral resolution and signal-to-noise ratio
(SNR). Using a selection of physically motivated star formation histories, we
set up a control sample of mock galaxy spectra representing observations of the
local universe in high-resolution spectroscopy, and in 56 narrow-band and 5
broad-band photometry. We fit the SEDs at these spectral resolutions and
compute their corresponding the stellar mass, the mass- and luminosity-weighted
age and metallicity, and the dust extinction. We study the biases,
correlations, and degeneracies affecting the retrieved parameters and explore
the r\^ole of the spectral resolution and the SNR in regulating these
degeneracies. We find that narrow-band photometry and spectroscopy yield
similar trends in the physical properties derived, the former being
considerably more precise. Using a galaxy sample from the SDSS, we compare more
realistically the results obtained from high-resolution and narrow-band SEDs
(synthesized from the same SDSS spectra) following the same spectral fitting
procedures. We use results from the literature as a benchmark to our
spectroscopic estimates and show that the prior PDFs, commonly adopted in
parametric methods, may introduce biases not accounted for in a Bayesian
framework. We conclude that narrow-band photometry yields the same trend in the
age-metallicity relation in the literature, provided it is affected by the same
biases as spectroscopy; albeit the precision achieved with the latter is
generally twice as large as with the narrow-band, at SNR values typical of the
different kinds of data.Comment: 26 pages, 15 figures. Accepted for publication in MNRA
pyFIT3D and pyPipe3D -- The new version of the Integral Field Spectroscopy data analysis pipeline
We present a new version of the FIT3D and Pipe3D codes, two packages to
derive properties of the stellar populations and the ionized emission lines
from optical spectroscopy and integral field spectroscopy data respectively.
The new codes have been fully transcribed to Python from the original Perl and
C versions, modifying the algorithms when needed to make use of the unique
capabilities of this language with the main goals of (1) respecting as much as
possible the original philosophy of the algorithms, (2) maintaining a full
compatibility with the original version in terms of the format of the required
input and produced output files, and (3) improving the efficiency and accuracy
of the algorithms, and solving known (and newly discovered) bugs. The complete
package is freely distributed, with an available repository online. pyFIT3D and
pyPipe3D are fully tested with data of the most recent IFS data surveys and
compilations (e.g. CALIFA, MaNGA, SAMI and AMUSING++), and confronted with
simulations. We describe here the code, its new implementation, its accuracy in
recovering the parameters based on simulations, and a showcase of its
implementation on a particular dataset.Comment: New Astronomy - 29 pages, 19 figures - Received on 7 Dec 2021 -
Accepted for publication on 8 Jul 202
International Nosocomial Infection Control Consortium (INICC) report, data summary of 36 countries, for 2004-2009
The results of a surveillance study conducted by the International Nosocomial Infection Control Consortium (INICC) from January 2004 through December 2009 in 422 intensive care units (ICUs) of 36 countries in Latin America, Asia, Africa, and Europe are reported. During the 6-year study period, using Centers for Disease Control and Prevention (CDC) National Healthcare Safety Network (NHSN; formerly the National Nosocomial Infection Surveillance system [NNIS]) definitions for device-associated health care-associated infections, we gathered prospective data from 313,008 patients hospitalized in the consortium's ICUs for an aggregate of 2,194,897 ICU bed-days. Despite the fact that the use of devices in the developing countries' ICUs was remarkably similar to that reported in US ICUs in the CDC's NHSN, rates of device-associated nosocomial infection were significantly higher in the ICUs of the INICC hospitals; the pooled rate of central line-associated bloodstream infection in the INICC ICUs of 6.8 per 1,000 central line-days was more than 3-fold higher than the 2.0 per 1,000 central line-days reported in comparable US ICUs. The overall rate of ventilator-associated pneumonia also was far higher (15.8 vs 3.3 per 1,000 ventilator-days), as was the rate of catheter-associated urinary tract infection (6.3 vs. 3.3 per 1,000 catheter-days). Notably, the frequencies of resistance of Pseudomonas aeruginosa isolates to imipenem (47.2% vs 23.0%), Klebsiella pneumoniae isolates to ceftazidime (76.3% vs 27.1%), Escherichia coli isolates to ceftazidime (66.7% vs 8.1%), Staphylococcus aureus isolates to methicillin (84.4% vs 56.8%), were also higher in the consortium's ICUs, and the crude unadjusted excess mortalities of device-related infections ranged from 7.3% (for catheter-associated urinary tract infection) to 15.2% (for ventilator-associated pneumonia). Copyright (C) 2011 by the Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved
International nosocomial infection control consortium (INICC) report, data summary of 36 countries, for 2004-2009
The results of a surveillance study conducted by the International Nosocomial Infection Control Consortium (INICC) from January 2004 through December 2009 in 422 intensive care units (ICUs) of 36 countries in Latin America, Asia, Africa, and Europe are reported. During the 6-year study period, using Centers for Disease Control and Prevention (CDC) National Healthcare Safety Network (NHSN; formerly the National Nosocomial Infection Surveillance system [NNIS]) definitions for device-associated health care-associated infections, we gathered prospective data from 313,008 patients hospitalized in the consortium's ICUs for an aggregate of 2,194,897 ICU bed-days. Despite the fact that the use of devices in the developing countries' ICUs was remarkably similar to that reported in US ICUs in the CDC's NHSN, rates of device-associated nosocomial infection were significantly higher in the ICUs of the INICC hospitals; the pooled rate of central line-associated bloodstream infection in the INICC ICUs of 6.8 per 1,000 central line-days was more than 3-fold higher than the 2.0 per 1,000 central line-days reported in comparable US ICUs. The overall rate of ventilator-associated pneumonia also was far higher (15.8 vs 3.3 per 1,000 ventilator-days), as was the rate of catheter-associated urinary tract infection (6.3 vs. 3.3 per 1,000 catheter-days). Notably, the frequencies of resistance of Pseudomonas aeruginosa isolates to imipenem (47.2% vs 23.0%), Klebsiella pneumoniae isolates to ceftazidime (76.3% vs 27.1%), Escherichia coli isolates to ceftazidime (66.7% vs 8.1%), Staphylococcus aureus isolates to methicillin (84.4% vs 56.8%), were also higher in the consortium's ICUs, and the crude unadjusted excess mortalities of device-related infections ranged from 7.3% (for catheter-associated urinary tract infection) to 15.2% (for ventilator-associated pneumonia). Copyright © 2012 by the Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved
EDUCACIÓN AMBIENTAL Y SOCIEDAD. SABERES LOCALES PARA EL DESARROLLO Y LA SUSTENTABILIDAD
Este texto contribuye al análisis científico de varias áreas del conocimiento como la filosofía social, la patología, la educación para el cuidado del medio ambiente y la sustentabilidad que inciden en diversas unidades de aprendizaje de la Licenciatura en Educación para la Salud y de la Maestría en Sociología de la SaludLas comunidades indígenas de la sierra norte de Oaxaca México, habitan un territorio extenso de biodiversidad. Sin que sea una área protegida y sustentable, la propia naturaleza de la región ofrece a sus visitantes la riqueza de la vegetación caracterizada por sus especies endémicas que componen un paisaje de suma belleza
Utilización de tarjetas inteligentes para estimar matrices origen-destino: Aplicación al sistema Megabús, Pereira
Para la planificación operativa de los sistemas de transporte público es fundamental contar con una caracterización de la demanda del servicio por medio de una Matriz Origen-Destino (OD) de viajes que suministre información valiosa para la toma de decisiones en el proceso de optimización del sistema. Esta matriz es estimada frecuentemente mediante técnicas de muestreo estadístico que ofrecen resultados de gran calidad pero que requieren de diseños, implementación y análisis bastante complejos e implican un alto costo y mucho tiempo de ejecución. Por tal motivo, se hace pertinente aprovechar la información concentrada en los registros de las tarjetas inteligentes usadas como medios de pago en los sistemas de transportes que cuentan con esta tecnología. Esta fuente de información permite obtener estimaciones de matrices OD de gran calidad con un costo bastante bajo. En este trabajo se implementa una metodología para la estimación de una Matriz Origen-Destino entre estaciones de buses para el sistema de transporte público de MEGABÚS en la ciudad de Pereira. La metodología permite depurar la base de datos teniendo en cuenta las particularidades del sistema y obtener la reconstrucción de un gran porcentaje de los viajes originados en registros de entrada. El método usado posibilita estimar matrices OD para diferentes ventanas de tiempo de cualquier día de la semana y distintas épocas del año