El Profesor Sánchez Calero y el Derecho Marítimo

Con ocasión de un acto de la Asociación Española de Derecho Marítimo, las páginas que siguen sirvieron para un repaso de la actividad del Profesor Fernando Sánchez Calero en relación con el Derecho Marítimo.

TRIBUNAL ARBITRAL DE CARLOS EDUARDO NARANJO FLÓREZ Y MANUEL GUILLERMO ESTRADA FLÓREZ VS. EDWIN FERNANDO NUÑEZ SÁNCHEZ

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TRIBUNAL ARBITRAL DE LUIS FERNANDO MESA BALLESTEROS Y ANTONIO MARÍA PUENTES SÁNCHEZ INTEGRANTES DEL COSORCIO EL RÍO VS. EL INSTITUTO NACIONAL DE VÍAS (INVÍAS)Y EL DEPARTAMENTO ADMINISTRATIVO PARA LA PROSPERIDAD SOCIAL

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El capital intelectual y su relación con la innovación en la universidad CES

En la sociedad actual del conocimiento las universidades tienen la responsabilidad de generar conocimiento e innovaciones para ofrecer soluciones a problemas de comunidades de interés. Para lograrlo las universidades deben enfocarse en su activo más importante, su capital intelectual. Hasta ahora las investigaciones relacionadas con el capital intelectual y la innovación en las universidades, son limitadas a pesar de ser un elemento estratégico para la dirección de estas organizaciones, ya que estos aspectos le representan valor en el tiempo, por tanto esta investigación busca establecer cuál es la relación que existe entre el capital intelectual y la innovación en la Universidad CES. El objetivo de esta investigación era identificar el grado de relación entre capital intelectual e innovación en la Universidad CES. La metodología del estudio, es un estudio cuantitativo, de tipo descriptivo explicativo, con un diseño transversal, que permitió establecer el efecto del capital intelectual sobre la innovación de la Universidad CES. La población del fueron los directivos, líderes de los grupos de investigación y los coordinadores de investigación de la Universidad CES. Según los resultados obtenidos, este estudio determinó que el capital intelectual no tiene una relación estadísticamente significativa con la innovación personal de la Universidad CES y se determinó también que las tres dimensiones del capital intelectual tienen una relación estadísticamente significativa con los resultados de la innovación en la Universidad CES. El principal aporte de este estudio fue ofrecer evidencias sobre el capital intelectual como una de las principales fuentes de innovación para la Universidad.

El liberalismo, la Iglesia y el Estado. Comentario del libro de Claudio Antonio Vargas Arias

IntroducciónEl libro de Claudio Antonio Vargas Arias, El liberalismo, la Iglesia y el Estado de Costa Rica, (San José: Guayacán/ Alma Mater, 1991, 268 pp.) estudia las dos últimas décadas del siglo XIX, pero sin descuidar unos antecedentes que se demontan a la época colonial. Por la documentación utilizada y la interpretación propuesta, amerita un comentario detenido. Indicaré lo que considero sus contribuciones más interesantes, así como las aserciones que a mi juicio requieren ulteriores análisis.

Los intelectuales apristas y la cultura popular. Un acercamiento a las reflexiones de Luis Alberto Sánchez y Víctor Raúl Haya de la Torre

En el período de entreguerras, la ruptura con el positivismo por parte de numerosos pensadores produjo la emergencia de discursos relegitimadores de los sectores populares en todo el Continente. Este artículo aborda, desde una perspectiva de análisis del discurso, el pensamiento sobre el problema del indigenismo de dos intelectuales identificados con el aprismo: Luis Alberto Sánchez y Víctor Raúl Haya de la Torre. En este sentido, se intenta señalar continuidades y rupturas con otras corrientes indigenistas y analizar las estrategias discursivas presentes en los escritos apristas, cuyas particularidades están dadas por los intentos de construcción un partido político nacional/ continental.

Perceptions of aging across 26 cultures and their culture-level associates

College students (N = 3,435) in 26 cultures reported their perceptions of age-related changes in physical, cognitive, and socioemotional areas of functioning and rated societal views of aging within their culture. There was widespread cross-cultural consensus regarding the expected direction of aging trajectories with (1) perceived declines in societal views of aging, physical attractiveness, the ability to perform everyday tasks, and new learning, (2) perceived increases in wisdom, knowledge, and received respect, and (3) perceived stability in family authority and life satisfaction. Cross-cultural variations in aging perceptions were associated with culture-level indicators of population aging, education levels, values, and national character stereotypes. These associations were stronger for societal views on aging and perceptions of socioemotional changes than for perceptions of physical and cognitive changes. A consideration of culture-level variables also suggested that previously reported differences in aging perceptions between Asian and Western countries may be related to differences in population structure.

How can we exploit mobile data to customise learning based on a student’s environmental surroundings?

User-Based intelligent systems are already commonplace in a student’s online digital life. Each time they browse, search, buy, join, comment, play, travel, upload, download, a system collects, analyses and processes data in an effort to customise content and further improve services. This panel session will explore how intelligent systems, particularly those that gather data from mobile devices, can offer new possibilities to assist in the delivery of customised, personal and engaging learning experiences. The value of intelligent systems for education lies in their ability to formulate authentic and complex learner profiles that bring together and systematically integrate a student’s personal world with a formal curriculum framework. As we well know, a mobile device can collect data relating to a student’s interests (gathered from search history, applications and communications), location, surroundings and proximity to others (GPS, Bluetooth). However, what has been less explored is the opportunity for a mobile device to map the movements and activities of a student from moment to moment and over time. This longitudinal data provides a holistic profile of a student, their state and surroundings. Analysing this data may allow us to identify patterns that reveal a student’s learning processes; when and where they work best and for how long. Through revealing a student’s state and surroundings outside of schools hour, this longitudinal data may also highlight opportunities to transform a student’s everyday world into an inventory for learning, punctuating their surroundings with learning recommendations. This would in turn lead to new ways to acknowledge and validate and foster informal learning, making it legitimate within a formal curriculum.

Textures of optical flow for real-time anomaly detection in crowds

Automated visual surveillance of crowds is a rapidly growing area of research. In this paper we focus on motion representation for the purpose of abnormality detection in crowded scenes. We propose a novel visual representation called textures of optical flow. The proposed representation measures the uniformity of a flow field in order to detect anomalous objects such as bicycles, vehicles and skateboarders; and can be combined with spatial information to detect other forms of abnormality. We demonstrate that the proposed approach outperforms state-of-the-art anomaly detection algorithms on a large, publicly-available dataset.

Bounded parameter Markov Decision Processes with average reward criterion

Bounded parameter Markov Decision Processes (BMDPs) address the issue of dealing with uncertainty in the parameters of a Markov Decision Process (MDP). Unlike the case of an MDP, the notion of an optimal policy for a BMDP is not entirely straightforward. We consider two notions of optimality based on optimistic and pessimistic criteria. These have been analyzed for discounted BMDPs. Here we provide results for average reward BMDPs. We establish a fundamental relationship between the discounted and the average reward problems, prove the existence of Blackwell optimal policies and, for both notions of optimality, derive algorithms that converge to the optimal value function.

Multitask learning with expert advice

We consider the problem of prediction with expert advice in the setting where a forecaster is presented with several online prediction tasks. Instead of competing against the best expert separately on each task, we assume the tasks are related, and thus we expect that a few experts will perform well on the entire set of tasks. That is, our forecaster would like, on each task, to compete against the best expert chosen from a small set of experts. While we describe the “ideal” algorithm and its performance bound, we show that the computation required for this algorithm is as hard as computation of a matrix permanent. We present an efficient algorithm based on mixing priors, and prove a bound that is nearly as good for the sequential task presentation case. We also consider a harder case where the task may change arbitrarily from round to round, and we develop an efficient approximate randomized algorithm based on Markov chain Monte Carlo techniques.