Normative reference values for the 20-meter shuttlerun test in a population-based sample of schoolchildren in Bogota, Colombia: The FUPRECOL Study

Our aim was to determine the normative reference values of cardiorespiratory fitness (CRF) and to establish the proportion of subjects with low CRF suggestive of future cardio-metabolic risk.

Diversificación, la clave del éxito de Constructora Colpatria

El siguiente documento tiene como finalidad enseñarle al lector cómo una de las constructoras líderes del sector en Colombia, Constructora Colpatria, se ha visto involucrada en la toma de ciertas decisiones estratégicas, las cuales han llevado a la compañía a conseguir una diversificación en diferentes áreas de negocio y un proceso de internacionalización en países como México y Perú. La principal razón de estos cambios que ha tenido la Constructora Colpatria, es básicamente un problema que surge hace un poco más de 20 años. Hacia la década de los 90 se presentó una crisis financiera que tuvo su origen en el mercado hipotecario, desde ese entonces, el sector construcción se ha visto involucrado en un fenómeno que es comúnmente conocido como burbuja inmobiliaria, este término se refiere a la subida injustificada y exagerada de los precios de los inmuebles o de los bienes raíces muy por encima del precio real de venta. En el contexto de estrategia, el proyecto se va a encaminar por el lado de las decisiones y el manejo que se le ha dado por parte de la empresa a la problemática que ha presentado el sector construcción a lo largo de los últimos años. Por medio de diferentes métodos de investigación, que serán explicados más adelante, se quiere evaluar y conocer como esta empresa ha logrado conseguir un alto nivel de competitividad y cómo se ha posicionado en los primeros puestos en el sector construcción en Colombia.

El concepto de espacio público en la planificación urbana. Estudio de caso, aproximación desde el plan maestro de espacio público-PMEP 2005- de Bogotá y las estrategias de participación ciudadana en el plan de desarrollo “Bogotá sin indiferencia” 2004-2008

El interés de este caso de estudio es reflexionar sobre los procesos participativos en la formulación de instrumentos de planeamiento urbano y sus efectos en la gestión de las ciudades, particularmente en el espacio público. Esto se realiza partir de una revisión normativa en el presente y de algunos aspectos históricos de los procesos de “Participación Ciudadana” y del concepto de “Espacio Público” como escenarios propicios para que la ciudadanía aporte en las decisiones de planificación. Además, se plantea una revisión de cómo estos se constituyen en elementos estructurantes de la ciudad que la dotan de identidad, referentes simbólicos y apropiación ciudadana. Para este efecto, se realizó un balance de la estrategia de gestión social y participativa propuesta por el Plan Maestro de Espacio Público de 2005, con el fin de resaltar la importancia de la participación ciudadana en la gestión de los instrumentos de planificación con los que cuenta la ciudad y sus resultados en la gestión de espacio público en Bogotá.

Cultural Values Change in the Rehabilitation of Historic Schools in Portugal

Despite the importance of the preservation of the historic built environment for the benefit of present and future generations, there is a lack of knowledge of the effects of architectural rehabilitation decisions on the cultural significance of historic buildings. Architectural heritage conservation literature has focused almost exclusively on providing principles and guidelines, describing intervention methodologies, and discussing predicted impacts of design on material values. This thesis argues that a focus on the actual effects is needed if the sociocultural sustainability of historic buildings significance is to be achieved. Supported by an extensive literature review and informed by personal insights from the researcher’s everyday practice, an adapted model of the Theory of Change based on Weiss (1995) was designed, providing a tool to evaluate the effects of rehabilitation on cultural significance [ERECS]. Using a selection of six recently rehabilitated historic secondary schools in Portugal (liceus), this research investigated architectural decisions and their effects on the cultural values of this building typology for education, focusing on three objectives, corresponding to three stages of interventions: understanding the existing cultural significance, identifying the design strategies applied and assessing the short-term effects of design decisions on the cultural values. Stressing the role of stakeholders in rehabilitation processes, data were collected from the buildings and architectural projects, the decision makers in the conservation process, and the school community. Although confirming that the evaluation of the effects of architectural decisions on cultural values is a complex task, the findings demonstrate that the historic liceus have historical, architectural and sociocultural values, and whilst strategies did not value social values, material cultural values were generally considered and preserved, contributing to the enhancement of intangible values. The implications of this theory-based and evidence-based research highlight the importance of evaluating actual effects for cultural heritage theory, architectural conservation practice and heritage management policy.

Propuesta de alfabetización de educación no formal, para hombres, mujeres y obreros inmigrantes nicaragüenses

This article summarizes the main findings of a research on literacy made with immigrant Nicaraguan men and women workers residing in Costa Rica, specifically with parents from students at the Gonzalo Monge School in Pital, San Carlos. In this investigation, the more relevant motives for these Nicaraguan immigrants to come to Costa Rica are established. In addition, some of their needs living in this country are stipulated as well as the role of informal education in their lives. It is clearly important to design a literacy proposal on informal education that allows immigrant Nicaraguan men and women workers to prepare and educate for life and work. According to the Project for Latin America and the Caribbean, Education for Everyone program, education is understood as one basic need of the person: every person –child, young or adult- must have the basic opportunity of taking advantage of education. These needs include not only essential tools for learning (such as reading, writing, learning problems…), but also basic learning contents required for human beings to: survive, develop their capacities, live and work with dignity, fully participate on development, improve the quality of their lives, take their fundamental decisions and continue learning.

Meaningful insights: explainability techniques for black-box models on tabular data

Artificial Intelligence (AI) and Machine Learning (ML) are novel data analysis techniques providing very accurate prediction results. They are widely adopted in a variety of industries to improve efficiency and decision-making, but they are also being used to develop intelligent systems. Their success grounds upon complex mathematical models, whose decisions and rationale are usually difficult to comprehend for human users to the point of being dubbed as black-boxes. This is particularly relevant in sensitive and highly regulated domains. To mitigate and possibly solve this issue, the Explainable AI (XAI) field became prominent in recent years. XAI consists of models and techniques to enable understanding of the intricated patterns discovered by black-box models. In this thesis, we consider model-agnostic XAI techniques, which can be applied to Tabular data, with a particular focus on the Credit Scoring domain. Special attention is dedicated to the LIME framework, for which we propose several modifications to the vanilla algorithm, in particular: a pair of complementary Stability Indices that accurately measure LIME stability, and the OptiLIME policy which helps the practitioner finding the proper balance among explanations' stability and reliability. We subsequently put forward GLEAMS a model-agnostic surrogate interpretable model which requires to be trained only once, while providing both Local and Global explanations of the black-box model. GLEAMS produces feature attributions and what-if scenarios, from both dataset and model perspective. Eventually, we argue that synthetic data are an emerging trend in AI, being more and more used to train complex models instead of original data. To be able to explain the outcomes of such models, we must guarantee that synthetic data are reliable enough to be able to translate their explanations to real-world individuals. To this end we propose DAISYnt, a suite of tests to measure synthetic tabular data quality and privacy.

Multicollinearity and financial constraint in investment decisions: a Bayesian generalized ridge regression

This paper addresses the investment decisions considering the presence of financial constraints of 373 large Brazilian firms from 1997 to 2004, using panel data. A Bayesian econometric model was used considering ridge regression for multicollinearity problems among the variables in the model. Prior distributions are assumed for the parameters, classifying the model into random or fixed effects. We used a Bayesian approach to estimate the parameters, considering normal and Student t distributions for the error and assumed that the initial values for the lagged dependent variable are not fixed, but generated by a random process. The recursive predictive density criterion was used for model comparisons. Twenty models were tested and the results indicated that multicollinearity does influence the value of the estimated parameters. Controlling for capital intensity, financial constraints are found to be more important for capital-intensive firms, probably due to their lower profitability indexes, higher fixed costs and higher degree of property diversification.

Multicollinearity and financial constraint in investment decisions: a bayesian generalized ridge regression

This paper addresses the investment decisions considering the presence of financial constraints of 373 large Brazilian firms from 1997 to 2004, using panel data. A Bayesian econometric model was used considering ridge regression for multicollinearity problems among the variables in the model. Prior distributions are assumed for the parameters, classifying the model into random or fixed effects. We used a Bayesian approach to estimate the parameters, considering normal and Student t distributions for the error and assumed that the initial values for the lagged dependent variable are not fixed, but generated by a random process. The recursive predictive density criterion was used for model comparisons. Twenty models were tested and the results indicated that multicollinearity does influence the value of the estimated parameters. Controlling for capital intensity, financial constraints are found to be more important for capital-intensive firms, probably due to their lower profitability indexes, higher fixed costs and higher degree of property diversification.

Financial distress, financial constraint and investment decision: Evidence from Brazil

This paper analyses the presence of financial constraint in the investment decisions of 367 Brazilian firms from 1997 to 2004, using a Bayesian econometric model with group-varying parameters. The motivation for this paper is the use of clustering techniques to group firms in a totally endogenous form. In order to classify the firms we used a hybrid clustering method, that is, hierarchical and non-hierarchical clustering techniques jointly. To estimate the parameters a Bayesian approach was considered. Prior distributions were assumed for the parameters, classifying the model in random or fixed effects. Ordinate predictive density criterion was used to select the model providing a better prediction. We tested thirty models and the better prediction considers the presence of 2 groups in the sample, assuming the fixed effect model with a Student t distribution with 20 degrees of freedom for the error. The results indicate robustness in the identification of financial constraint when the firms are classified by the clustering techniques. (C) 2010 Elsevier B.V. All rights reserved.

A vaccination game based on public health actions and personal decisions

Susceptible-infective-removed (SIR) models are commonly used for representing the spread of contagious diseases. A SIR model can be described in terms of a probabilistic cellular automaton (PCA), where each individual (corresponding to a cell of the PCA lattice) is connected to others by a random network favoring local contacts. Here, this framework is employed for investigating the consequences of applying vaccine against the propagation of a contagious infection, by considering vaccination as a game, in the sense of game theory. In this game, the players are the government and the susceptible newborns. In order to maximize their own payoffs, the government attempts to reduce the costs for combating the epidemic, and the newborns may be vaccinated only when infective individuals are found in their neighborhoods and/or the government promotes an immunization program. As a consequence of these strategies supported by cost-benefit analysis and perceived risk, numerical simulations show that the disease is not fully eliminated and the government implements quasi-periodic vaccination campaigns. (C) 2011 Elsevier B.V. All rights reserved.

The impact of expert testimony on jurors' decisions: Gender of the expert and testimony complexity

The present study investigated whether people used the gender of an expert witness as a heuristic cue to evaluate the evidence presented by the expert. Specifically, the gender of the expert and the complexity of the expert's testimony (low, high) were varied systematically within a simulated civil trial involving an antitrust price-fixing agreement. It was expected that the male expert would be more persuasive than the female expert, but only when the testimony presented was complex. As predicted, this interaction was revealed across a range of dependent measures. Somewhat unexpected was the finding of a female expert advantage in the low-complexity condition. The implications of these findings are discussed.

Comparison of visual inspection, radiographic examination, laser fluorescence and their combinations on treatment decisions for occlusal surfaces

Purpose: To compare visual inspection (VI), radiographic examination (RX) and the laser fluorescence device DIAGNOdent (L), as well as their combinations in vitro regarding treatment decisions for occlusal surfaces. Methods: 72 extracted human permanent teeth (molars and premolars) were used. Treatment decisions were recorded by three calibrated examiners, and the options available were fissure sealant and conservative restoration. For validation of treatment decisions, the teeth were sectioned and examined in a stereomicroscope. Thereafter, dental slices were scanned and the images were edited to facilitate classification of existing carious lesions. Intra and inter-examiner reproducibility for the determination of treatment plans were calculated using Cohen`s kappa test (95%-CI). Sensitivity, specificity, positive and negative predictive values, and the area under the ROC curve were also calculated. Results: VI and L provided on average the greatest intra- and inter-examiner reproducibility, respectively. Although the combination of diagnostic methods may decrease both intra- and inter examiners reproducibility, combination of VI, L and RX resulted in the greatest sensitivity, being statistically superior to RX and L. There was more inter-examiner agreement for the option of restorative treatment, while the use of sealants as a treatment option yielded the lowest values. Negative predictive values were numerically inferior to positive predictive values, indicating that the examiners preferred not to restore a carious tooth than to proceed operatively in an intact tooth. The combination of the three methods studied showed the best results in determining treatment plans for occlusal surfaces, when compared to the other types of exams. On the other hand, radiographic examination and laser fluorescence were less efficient when used alone.