Evolución de la Política Exterior y de Seguridad Común de la Unión Europea. Una aproximación desde el fenómeno de asilo en Grecia (2001-2012)

El presente trabajo busca examinar cómo el fenómeno de la migración por asilo ha influido en la evolución de la Política Exterior y de Seguridad Común de la Unión Europea (PESC- UE) a partir del caso de Grecia entre 2001 y 2012. De esta manera, se identifica la migración por asilo como un problema de seguridad en medio del proceso de construcción europea. Se examina el marco legal y político existente sobre el asilo en Grecia y en la Unión, y se analiza el proceso de construcción de la PESC-UE a partir de sus incisos sobre política de vecindad, de desarrollo y cooperación, y de la protección de los derechos humanos. El resultado de la investigación permite establecer, luego de estudiar el caso griego, que la migración por asilo ha influido parcialmente en la evolución de la PESC- UE durante el periodo observado.

Ciudad región eje cafetero: hacia un desarrollo urbano sostenible

Se presenta una consideración conceptual y teórica sobre la ciudad-región y sus especificidades en el caso particular del Eje cafetero colombiano; se reflexiona sobre los procesos de metropolización en general y se llama la atención hacia los procesos metropolitanos de Pereira, Manizales y Armenia; se describe y se analiza la red de ciudades en el contexto de la ecorregión Eje Cafetero; se aportan consideraciones desde lo urbano-regional sobre el proyecto de ley orgánica de ordenamiento territorial; se sintetizan los principales progresos, limitaciones y retos en la construcción de esta ciudad-región y, por último, se ofrecen unas recomendaciones para fortalecer su proceso de construcción colectiva.-----A conceptual and theoretical consideration about the city region and its specifications are presented for the particular case of the Colombian Coffee Region; general metropolitan processes are carefully thought, and the attention is drawn over Pereira, Manizales and Armenia metropolitan dynamics; the city net is analyzed within coffee Eco-region context, considerations about territorial organization law project are given from the urban-regional point of view; main progresses, limitations and challenges from this City Region are summarized, and finally some recommendations are given in order to strengthen its collective construction process.

Mejoras al proceso de control de presupuesto para actividades de educación médica continuada (EMC)

Las multinacionales son reconocidas por su perdurabilidad en el tiempo, todas tienen procesos operativos que permiten alcanzar los objetivos del negocio. Boehringer Ingelheim es una compañía con mas de 128 años en el negocio farmacéutico que se caracteriza por su trascendencia familiar. Esta es una de las pocas empresas que no tienen accionistas y es un caso de éxito en la industria. En Colombia, esta empresa se ve enfrentada a otros grandes laboratorios como lo son Pfizer, Novartis, Bayer, Roche, Tecnoquimicas, entre otros; por lo cual debe estar a la vanguardia tanto en medicamentos, tecnología y procesos. Este trabajo propone la mejora de uno de los procesos del área de mercadeo en el cual se ven involucradas las áreas de ventas y contabilidad, buscando reducir el tiempo operativo para ser implementado en actividades de mayor valor que beneficien a la empresa.

La justicia transicional en el caso de la masacre de Bahía Portete: una perspectiva de construcción de la verdad desde las víctimas (2004-2013)

Esta monografía tiene como propósito analizar la pertinencia de la inclusión de un enfoque de interseccionalidad en el proceso de construcción de derecho a la verdad como instrumento de Justicia Transicional de la masacre de Bahía Portete perpetrada el 18 de abril de 2004 por paramilitares. Para lo cual se realiza un acercamiento al proceso de reparación llevado a cabo por el Estado colombiano y a la concepción del pueblo Wayuu del derecho propio y del rol de la mujer. Adicionalmente se realiza una caracterización de las mujeres víctimas desde el enfoque de la interseccionalidad. La presente investigación se desarrolló principalmente a partir de los hallazgos del trabajo de campo realizado en la Guajira durante el año 2014.

Análisis de los componentes de la candena de suministro y su relación con el desempeño organizacional en el sector prendas de vestir

Esta propuesta de investigación pretende aportar al proyecto de investigación “La administración de la cadena de suministro y su relación con el desempeño superior de la organización” a la elaboración de la primera etapa que consiste en la revisión de literatura para la elaboración y revisión del marco teórico de dicha investigación. Este proyecto se centra en el programa de estrategia y empresa en donde se realizará una investigación descriptiva acerca de la administración de la cadena de suministros, con el fin de estudiar la adopción y viabilidad de diferentes estrategias en el interior de las organizaciones, que puedan impactar en su desempeño y por lo tanto, en la competitividad y perdurabilidad de las empresas del sector de prendas de vestir en Colombia.

Impacto del Internet en el ingreso laboral: análisis del lugar y manejo del Internet

Este estudio analiza el efecto del uso de Internet sobre el ingreso laboral, eliminado el problema de endogeneidad que existe por motivos de selección. También se analizan los efectos seg un el lugar de acceso y las actividades realizadas en Internet. Para esto se utiliza Propensity Score Matching, tomando información para Colombia entre el año 2009 a 2011. Los resultados muestran que existe un efecto positivo, significativo y heterogéneo entre trabajadores asalariados y cuenta propia, siendo los últimos los más beneficiados. Con respecto al lugar de uso se encuentra un impacto positivo del uso del Internet en el trabajo y/o en el hogar, con una mayor magnitud en el primer sitio de acceso. Para el tema del manejo del Internet, no se encuentra efecto cuando se utiliza en actividades de entretenimiento, pero si cuando se usa en tareas educativas diariamente. Esto siguiere que usar este servicio aumenta la productividad y el capital humano, lo que se transforma en un incremento en los ingresos. Por tanto, se encuentra que el lugar de uso es una señal informativa para el mercado laboral, mientras que el impacto del manejo de esta herramienta depende de la frecuencia con que se realicen las actividades.

Memory and power : two movements

The institutions that work with the preservation and diffusion of cultural heritage - be them archive, libraries, museums, art galleries or cultural centres - present a certain discourse about reality. To understand this discourse, composed by sound and silence, by fullness and emptiness, by presence and absence, by remembrance and forgetting, an operation is implied, not only with the enunciation of speech and its gaps, but also the comprehension of that which causes to speak, of who is speaking and of the point whence one speaks. Preservation and destruction, or, in another way, conservation and loss, walk hand in hand in the arteries of life. As suggested by Nietzsche (1999, p.273), it is impossible to live without loss, it is entirely impossible to live avoiding destruction to play its game and drive the dynamics of life on. However, by means of a kind of tautological argument, one often justifies preservation by the imminence of loss and memory by the threat of forgetting. Thus, one ceases to consider that the game and the rules of the game between forgetting and memory are not fed by themselves and that preservation and destruction are not opposed in a deadly duel, but instead they complement one another and are always at the service of subjects that build themselves and are built through social practices. To indicate that memories and forgettings can be sown and cultivated corroborates the importance of working towards the denaturalisation of these concepts and towards the understanding that they result from a construction process also involving other forces, such as: power. Power is a sower, a promoter of memories and forgettings.

Identidade, imaginário e cotidiano: concepções de alunos e professores numa escola do Nordeste do Brasil

O presente trabalho tem como objetivo investigar as concepções escolares, apresentando uma discussão do ponto de vista teórico-metodológico acerca destas construções produzidas no âmbito escolar, através de pesquisa etnográfica, utilizando o grupo focal, levando em conta a formação ideológica (ideias sobre si, o interlocutor e o assunto) e a formação discursiva (as marcas linguísticas, temáticas e de posição ideológica) dos participantes desta pesquisa. Por meio dos posicionamentos nas categorias: identidade, cotidiano e imaginário; pudemos observar que os discursos adquirem sentido à medida que são produzidos e que carregam em si os significados que expressam idéias, sentimentos e comportamentos. As mudanças de sentido ocorrem através de outros discursos que dialogam em um processo de construção e reconstrução. Neste entremeio o indivíduo revela-se inserido sócio-culturalmente. E a escola como espaço dinâmico é preenchida de sentido e dá novos sentidos, ora reproduzindo discursos, ora reconstruindo-os, ora formulando novos. Analisando os dados da pesquisa realizada, apreendemos que os discursos de educadores e educandos são influenciados uns pelos outros, formados pelas práticas cotidianas e pela bagagem social que cada indivíduo tem. Nessa construção mútua no processo de convívio, os papeis estabelecidos pela instituição escolar ganham novos contornos e limites no percalço do ensino-aprendizagem, não podendo separar deste contexto os elementos individuais que a escola torna coletivo e que traçam um caminho discursivo novo e ao mesmo tempo pertencente desde antes aos que fazem parte da escola.

A comparison of two editions of the RIBA plan of work

The RIBA Plan of Work describes the way a construction process should be organized. Although not officially approved by the RIBA council, a new plan of work was published in 2000 with the intention of replacing the RIBA Plan of Work, so it is useful to analyse both in terms of the organizational structure they impose upon construction projects. Using analytical principles from organizational theory, both plans are analysed by converting them into organizational matrices and assessing their relative complexities, the load on participants, decentralization of responsibility, number of interfaces and the extent to which they provide for co-ordination and control. This demonstrates first, that the analysis of organizational structure is an appropriate approach for undertaking comparisons of such documents; and second, that while both plans of work are of roughly equal complexity, the new one is more demanding on the participants; produces a higher number of interfaces between processes, and provides for more co-ordination than the old one. Neither plan deals with controlling the output of individuals, leaving it as an internal matter for each participating organization.

Probability density function estimation using orthogonal forward regression

Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression technique is adopted to construct sparse kernel density estimates. The proposed algorithm incrementally minimises a leave-one-out test error score to select a sparse kernel model, and a local regularisation method is incorporated into the density construction process to further enforce sparsity. The kernel weights are finally updated using the multiplicative nonnegative quadratic programming algorithm, which has the ability to reduce the model size further. Except for the kernel width, the proposed algorithm has no other parameters that need tuning, and the user is not required to specify any additional criterion to terminate the density construction procedure. Two examples are used to demonstrate the ability of this regression-based approach to effectively construct a sparse kernel density estimate with comparable accuracy to that of the full-sample optimised Parzen window density estimate.

Nonlinear system identification using particle swarm optimisation tuned radial basis function models

A novel particle swarm optimisation (PSO) tuned radial basis function (RBF) network model is proposed for identification of non-linear systems. At each stage of orthogonal forward regression (OFR) model construction process, PSO is adopted to tune one RBF unit's centre vector and diagonal covariance matrix by minimising the leave-one-out (LOO) mean square error (MSE). This PSO aided OFR automatically determines how many tunable RBF nodes are sufficient for modelling. Compared with the-state-of-the-art local regularisation assisted orthogonal least squares algorithm based on the LOO MSE criterion for constructing fixed-node RBF network models, the PSO tuned RBF model construction produces more parsimonious RBF models with better generalisation performance and is often more efficient in model construction. The effectiveness of the proposed PSO aided OFR algorithm for constructing tunable node RBF models is demonstrated using three real data sets.

Orthogonal forward selection for constructing the radial basis function network with tunable nodes

An orthogonal forward selection (OFS) algorithm based on the leave-one-out (LOO) criterion is proposed for the construction of radial basis function (RBF) networks with tunable nodes. This OFS-LOO algorithm is computationally efficient and is capable of identifying parsimonious RBF networks that generalise well. Moreover, the proposed algorithm is fully automatic and the user does not need to specify a termination criterion for the construction process.

An orthogonal forward regression technique for sparse kernel density estimation

Using the classical Parzen window (PW) estimate as the desired response, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression technique is adopted to construct sparse kernel density (SKD) estimates. The proposed algorithm incrementally minimises a leave-one-out test score to select a sparse kernel model, and a local regularisation method is incorporated into the density construction process to further enforce sparsity. The kernel weights of the selected sparse model are finally updated using the multiplicative nonnegative quadratic programming algorithm, which ensures the nonnegative and unity constraints for the kernel weights and has the desired ability to reduce the model size further. Except for the kernel width, the proposed method has no other parameters that need tuning, and the user is not required to specify any additional criterion to terminate the density construction procedure. Several examples demonstrate the ability of this simple regression-based approach to effectively construct a SKID estimate with comparable accuracy to that of the full-sample optimised PW density estimate. (c) 2007 Elsevier B.V. All rights reserved.

Sparse modeling using orthogonal forward regression with PRESS statistic and regularization

The paper introduces an efficient construction algorithm for obtaining sparse linear-in-the-weights regression models based on an approach of directly optimizing model generalization capability. This is achieved by utilizing the delete-1 cross validation concept and the associated leave-one-out test error also known as the predicted residual sums of squares (PRESS) statistic, without resorting to any other validation data set for model evaluation in the model construction process. Computational efficiency is ensured using an orthogonal forward regression, but the algorithm incrementally minimizes the PRESS statistic instead of the usual sum of the squared training errors. A local regularization method can naturally be incorporated into the model selection procedure to further enforce model sparsity. The proposed algorithm is fully automatic, and the user is not required to specify any criterion to terminate the model construction procedure. Comparisons with some of the existing state-of-art modeling methods are given, and several examples are included to demonstrate the ability of the proposed algorithm to effectively construct sparse models that generalize well.

Particle swarm optimization aided orthogonal forward regression for unified data modeling

We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density function estimation. A particle swarm optimization (PSO) aided orthogonal forward regression (OFR) algorithm based on leave-one-out (LOO) criteria is developed to construct parsimonious radial basis function (RBF) networks with tunable nodes. Each stage of the construction process determines the center vector and diagonal covariance matrix of one RBF node by minimizing the LOO statistics. For regression applications, the LOO criterion is chosen to be the LOO mean square error, while the LOO misclassification rate is adopted in two-class classification applications. By adopting the Parzen window estimate as the desired response, the unsupervised density estimation problem is transformed into a constrained regression problem. This PSO aided OFR algorithm for tunable-node RBF networks is capable of constructing very parsimonious RBF models that generalize well, and our analysis and experimental results demonstrate that the algorithm is computationally even simpler than the efficient regularization assisted orthogonal least square algorithm based on LOO criteria for selecting fixed-node RBF models. Another significant advantage of the proposed learning procedure is that it does not have learning hyperparameters that have to be tuned using costly cross validation. The effectiveness of the proposed PSO aided OFR construction procedure is illustrated using several examples taken from regression and classification, as well as density estimation applications.