963 research outputs found
Capital humano y voluntad de poder
El presente artículo propone una interpretación ontológica del concepto de capital humano a la luz de la metafísica de Nietzsche y de “El Trabajador” de Jünger. En ese sentido cabe preguntarse por el fundamento y las implicancias de aquel concepto que habiendo crecido dentro del ámbito económico, supone sin embargo el suelo de una nueva comprensibilidad de la posición histórica del hombre
Rol de los medios de comunicación públicos en el proceso de integración latinoamericana entre el 2014 y el 2015. Casos de estudio: Agencia Peruana de Noticias Andina y Agencia Andes de Ecuador
El presente proyecto de investigación busca hacer un análisis sobre el papel que desempeña la comunicación y los medios de comunicación públicos en el proceso de integración. Con la presente investigación se busca responder a la interrogante sobre ¿cuáles son las tareas pendientes de los medios de comunicación en materia de integración? Para ello se realizará un análisis comparativo sobre contenidos noticiosos de medios públicos de la región, como son Ecuador y Perú, a fin de profundizar sobre el rol de los medios en materia de integración. Los casos de estudio son la Agencia Andina de Perú y Agencia Andes de Ecuado
The effects of customer segmentation, borrower behaviors and analytical methods on the performance of credit scoring models in the agribusiness sector
Improving credit scoring by differentiating default behaviour
We present a methodology for improving credit scoring models by distinguishing two forms of rational behaviour of loan defaulters. It is common knowledge among practitioners that there are two types of defaulters, those who do not pay because of cash flow problems (‘Can’t Pay’), and those that do not pay because of lack of willingness to pay (‘Won’t Pay’). This work proposes to differentiate them using a game theory model that describes their behaviour. This separation of behaviours is represented by a set of constraints that form part of a semi-supervised constrained clustering algorithm, constructing a new target variable summarizing relevant future information. Within this approach the results of several supervised models are benchmarked, in which the models deliver the probability of belonging to one of these three new classes (good payers, ‘Can’t Pays’, and ‘Won’t Pays’). The process improves classification accuracy significantly, and delivers strong insights regarding the behaviour of defaulter
Development and application of consumer credit scoring models using profit-based classification measures
This paper presents a new approach for consumer credit scoring, by tailoring a profit-based classification performance measure to credit risk modeling. This performance measure takes into account the expected profits and losses of credit granting and thereby better aligns the model developers' objectives with those of the lending company. It is based on the Expected Maximum Profit (EMP) measure and is used to find a trade-off between the expected losses -- driven by the exposure of the loan and the loss given default -- and the operational income given by the loan. Additionally, one of the major advantages of using the proposed measure is that it permits to calculate the optimal cutoff value, which is necessary for model implementation. To test the proposed approach, we use a dataset of loans granted by a government institution, and benchmarked the accuracy and monetary gain of using EMP, accuracy, and the area under the ROC curve as measures for selecting model parameters, and for determining the respective cutoff values. The results show that our proposed profit-based classification measure outperforms the alternative approaches in terms of both accuracy and monetary value in the test set, and that it facilitates model deployment
Development and application of consumer credit scoring models using profit-based classification measures
This paper presents a new approach for consumer credit scoring, by tailoring a profit-based classification performance measure to credit risk modeling. This performance measure takes into account the expected profits and losses of credit granting and thereby better aligns the model developers' objectives with those of the lending company. It is based on the Expected Maximum Profit (EMP) measure and is used to find a trade-off between the expected losses -- driven by the exposure of the loan and the loss given default -- and the operational income given by the loan. Additionally, one of the major advantages of using the proposed measure is that it permits to calculate the optimal cutoff value, which is necessary for model implementation. To test the proposed approach, we use a dataset of loans granted by a government institution, and benchmarked the accuracy and monetary gain of using EMP, accuracy, and the area under the ROC curve as measures for selecting model parameters, and for determining the respective cutoff values. The results show that our proposed profit-based classification measure outperforms the alternative approaches in terms of both accuracy and monetary value in the test set, and that it facilitates model deployment
Diagnóstico de la calidad del agua mediante cálculo de un ICA y modelación de un tramo del Río Tunjuelo en el sector de Bosa Libertador
Trabajo de InvestigaciónMediante esta investigación se realizó una descripcion detallada de las características de la zona donde se encuentra la problemática presente en un tramo del rio Tunjuelo en la localidad séptima de Bosa, esta considera la descarga puntual de un vertimiento de aguas negras y la deposición de una conexión errada intermítete, todo esto como antesala a la caracterización de los componentes hidráulicos y de calidad, para ello se realizó un levantamiento batimétrico junto con aforo de caudal que fueron complementados posteriormente con la tomas de las muestras de agua necesarias para cada uno de los puntos de monitoreo considerados, haciendo uso de los datos levantados y los resultados de los ensayos de laboratorio para las muestras tomadas se alimentaron los modelos de simulación hidráulica y de calidad en los software HEC-RAS y QUAL2K los cuales nos arrojaron las condiciones actuales del tramo de estudio y las correspondientes a la normatividad usada para la investigación (resolución 631 de 2015), finalmente estos modelos fueron usados para hacer una valoración numérica de las condiciones encontradas mediante el cálculo de un ICA (Índice de Calidad del Agua). Acá se resalta importancia de realizar y extender estos análisis para considerar algún tipo de intervención que mejore el estado del tramo analizado y los recursos hídricos en general.1. INTRODUCCIÓN
2. ANTECEDENTES
3. JUSTIFICACION
4. PLANTEAMIETO Y FORMULACIÓN DEL PROBLEMA
5. MARCO DE REFERENCIA
6. OBJETIVOS
7. ALCANCE Y LIMITACIONES
8. PROPUESTA METOLOGICA
9. DESCRIPCION Y LOCALIZACION DE LA ZONA Y EL TRAMO DE ESTUDIO
10. CARACTERIZACION E INSPECCIÓN DE CAMPO EN EL TRAMO DE ESTUDIO
11. LABORATORIO Y PRODUCCIÓN EXPERIMENTAL
12. MODELACION DE CONDICIONES PARA EL TRAMO DEL RIO TUNJUELO
13. DIAGNOSTICO DE LA CALIADAD DEL AGUA E IMPLEMENTACION DEL ICA
14. CONCLUSIONES Y RECOMENDACIONES
15. BIBLIOGRAFÍAPregradoIngeniero Civi
Análisis sobre formación de competencias en innovación social. Caso: jóvenes profesionales, Universidad de Talca
66 p.El propósito de la presente investigación consistió en evaluar la incorporación de las
competencias, sub - competencias y elementos en Innovación Social desarrollados a través
del módulo de Responsabilidad y puestos en práctica por medio del Programa Jóvenes
Profesionales de la Universidad de Talca.
Para alcanzar este objetivo, se comenzó con una extensa revisión bibliográfica, la
cual en su primer apartado, comienza estudiando el concepto de competencia y sus
características, para lo cual se citan una importante cantidad de autores. Profundiza
posteriormente en la formación de competencias, sus principales enfoques, ejes de implementación y una revisión a las principales iniciativas llevadas a cabo en el mundo. Finalmente se analiza por qué es importante formar una competencia en innovación social y como se ha llevado a cabo hasta el día de hoy. Como complemento a la revisión, se realizó el diseño de un estudio de caso, que buscó evaluar los diversos elementos que componen las competencias en innovación social. Para ello se elaboró una encuesta, la cual fue aplicada a los jóvenes profesionales del año
2016, de este modo fue posible evaluar el grado de implementación de estos elementos por parte de los participantes. En las conclusiones se pueden encontrar algunas observaciones interesantes para aquellas instituciones educativas que tengan intenciones de implementar un sistema de
formación de competencias en innovación social similar a la realizada por Universidad de Talca Palabras clave: Competencia, Formación por Competencias, Innovación Social, Responsabilidad Social./SUMMARY: The purpose of the present investigation was to evaluate the incorporation of competences, sub - competences and elements in Social Innovation developed through the module Social Responsibility and put into practice through the Program “Jóvenes Profesionales” of the University of Talca. In order to reach this objective, an extensive bibliographical review was made, which in its first section begins by studying the concept of competence and its characteristics, for which an important number of authors are cited. It further deepens the training of competencies, their main approaches, axes of implementation and a revision to the main initiatives made in the world. Finally it analyzes why it is important to form a competition in social innovation and as it has been carried out until today. As a complement to the review, a case study was designed, which sought to
evaluate the various elements that compose the competences in social innovation. To do
this, a survey was designed which was applied to young professionals, so it was possible to evaluate the degree of implementation of these elements by the participants. In the conclusions some interesting recommendations can be found for those educational institutions that intend to implement a system of training of competences in social innovation similar to that realized by University of Talca
Keywords: Competence, Competence Training, Social Innovation, Social Responsibility
A Transformer-Based Classification System for Volcanic Seismic Signals
Volcanic seismic signals are a key element in volcano monitoring to assess the state of unrest and a possible eruption style and timing. Different sources such as brittle fracture (volcano-tectonic - VT) or fluid movement (long period - LP) generate signals with distinct characteristics in frequency content and shape, but site effects such as attenuation or background noise make their determination difficult to the untrained eye. In cases of unrest or an eminent eruption, the amount of data would require a fast and reliable source of pre-classification to classify and catalogue to aid in the job usually done by a human.
To model the problem, we will develop a custom-made Transformer model. Transformers are state-of-the-art deep learning methodologies that work with sequence-based data such as audio, text or, in this case, volcanic signals. The power of transformers lies in their ability to identify complex, disconnected patterns and then use them to identify phenomena in a very effective manner. We will be building the model architecture in TensorFlow and will be running them through SHARCNET.
Unfiltered continuous data from seismic stations in Villarrica volcano will be used as train dataset and catalogued from at least these two types of events (VT and LP). The model will be then tested with a different set of stations to assess changes in the signal due to attenuation at the site. This will allow to discriminate the same event in different stations
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