José Ramón Mélida. Arqueología Española. Edición de Margarita Díaz Andreu

Dentro de la serie de Urgoiti Editores sobre los grandes nombres de la ciencia histórica en España, se publica la tercera obra dedicada a los arqueólogos y prehistoriadores de la primera mitad del siglo XX. Tras los estudios de Jordi Cortadella sobre Pere Bosch Gimpera (1981-1974) y Fernando Wulff sobre Adolf Schulten (1870-1960), y a la espera del trabajo de Gloria Mora sobre Hugo Obermaier (1877-1946), ve la luz el estudio que Margarita Díaz Andreu ha dedicado a una de las figuras más nombradas, pero a la par más desconocidas, de la arqueología española: José Ramón Mélida y Alinari (1856-1933).

Dos modos de ver y sentir el Perú: las propuestas estéticas y culturales enfrentadas de José María Arguedas y Mario Vargas Llosa

: José María Arguedas y Mario Vargas Llosa, dos de los escritores más importantes del Perú del siglo XX, representan, a su vez, dos modos divergentes y contrapuestos de entender la realidad del país andino. Este estudio abordará las antagónicas propuestas estéticas y culturales de ambos autores a través del análisis de los principales ejes de la narrativa arguediana y del ensayo La utopía arcaica de Vargas Llosa y las planteará como una proyección de la conflictividad socio-cultural que inauguró la conquista y como un reflejo de las distintas respuestas que originó el movimiento indigenista en el Perú.

La ceguera como motivo en Ensayo sobre la ceguera de José Saramago e Informe sobre ciegos de Ernesto Sábato

El trabajo de investigación, El motivo de la ceguera en el Ensayo sobre la ceguera de José Saramago e Informe sobre ciegos de Ernesto Sábato, analiza desde el área y la metodología de la literatura comparada el uso del motivo literario de la ceguera en los dos textos mencionados, resaltando las similitudes y diferencias del tratamiento del motivo dentro de las dos obras y como éste sostiene una serie de obsesiones e ideas sobre el estado actual del mundo que comparten los autores de las dos novelas.

La persistencia de la memoria: violencia política, memoria histórica y testimonio en Antígona, de José Watanabe y el Grupo Yuyachkani

Partiendo de una concepción del teatro como espacio político por excelencia, se analizan las relaciones entre este, el trauma colectivo y la memoria histórica en un contexto de violencia político a partir del estudio de dos montajes de Antígona, de José Watanabe y el Grupo Yuyachkani: su estreno en Lima (2000) y su reposición en Huanta (2001). El análisis del texto en sus contextos originales de recepción permite reflexionar desde nuevas perspectivas sobre un problema relacionado con el conflicto armado interno ocurrido en el Perú entre los años 1980 y 2000: la responsabilidad ética y política de los sobrevivientes

Análisis de la expresión de las moléculas relacionadas con el complejo principal de histocompatibilidad de clase I y de NKG2D como respuesta al daño oxidativo del DNA en el cáncer urotelial de vejiga. Relación con las características clínico patológicas y supervivencia

Es tracta d'un estudi retrospectiu de casos de 280 pacients diagnosticats de tumor vesical primari amb un seguiment mínim de 8 anys. S'ha construït un Tissue microarray i mitjançant mètodes semiquantitatius d’inmunohistoquímica es determinarà l'expressió de les molècules MICA (MHC class I chain-related gene A) i del seu receptor NKG2D (Natural-Killer group 2-member D) a nivell tissular, relacionant-lo amb variables anatomopatològiques segons els grups de risc, hàbit tabàquic i sexe. Finalment valorarem l'expressió de MICA/NKG2D com a factor independent de recidiva / progressió tumoral. En la literatura només existeixen 2 treballs que relacionin MICA amb el càncer vesical.

Estudio del ecosistema urbano de San José. Protocolo de monitoreo de aves y naturalización del Parque La Sabana

El papel de la ciudad en el futuro de la humanidad será transcendente, y es que el crecimiento actual de los espacios urbanos tiende, en general, a desbordar el sitio original de las ciudades, abarcando territorios cada vez más extensos y discontinuos. Y por este motivo es de vital importancia el estudio de la ciudad y de su entorno, el cual es sinónimo de ecosistema urbano. En el siguiente estudio se evalúa el ecosistema urbano de San José, capital de Costa Rica, dando énfasis en las zonas verdes presentes, en las relaciones con los ecosistemas naturales circundantes y como mejorar su capacidad ecológica. Por este motivo se ha analizado un proceso de rearborización en el Parque Metropolitano La Sabana, principal nódulo de carga de la trama urbana. Este esfuerzo de naturación dotará al parque de una mayor naturalización, con lo que se espera un aumento de la biodiversidad faunística. Para conocer estos cambios se crea un programa de monitoreo de aves con su respectivo protocolo.

Paint on whiteboard desktop

Es un proyecto para la creación de una herramienta aplicable al uso de pizarras digitales. Pintar sobre el escritorio o aplicaciones abiertas.

Gènere i bilingüisme: connectant experiències i teories. Introductory paper in Santaemilia, José, Patricia Bou, Sergio Maruenda i Gora Zaragoza International Perspectives on Gender and Language

Peer-reviewed

On Certain Greedoid Polyhedra, Partially Indexable Scheduling Problems, and Extended Restless Bandit Allocation Indices

We present a polyhedral framework for establishing general structural properties on optimal solutions of stochastic scheduling problems, where multiple job classes vie for service resources: the existence of an optimal priority policy in a given family, characterized by a greedoid (whose feasible class subsets may receive higher priority), where optimal priorities are determined by class-ranking indices, under restricted linear performance objectives (partial indexability). This framework extends that of Bertsimas and Niño-Mora (1996), which explained the optimality of priority-index policies under all linear objectives (general indexability). We show that, if performance measures satisfy partial conservation laws (with respect to the greedoid), which extend previous generalized conservation laws, then the problem admits a strong LP relaxation over a so-called extended greedoid polytope, which has strong structural and algorithmic properties. We present an adaptive-greedy algorithm (which extends Klimov's) taking as input the linear objective coefficients, which (1) determines whether the optimal LP solution is achievable by a policy in the given family; and (2) if so, computes a set of class-ranking indices that characterize optimal priority policies in the family. In the special case of project scheduling, we show that, under additional conditions, the optimal indices can be computed separately for each project (index decomposition). We further apply the framework to the important restless bandit model (two-action Markov decision chains), obtaining new index policies, that extend Whittle's (1988), and simple sufficient conditions for their validity. These results highlight the power of polyhedral methods (the so-called achievable region approach) in dynamic and stochastic optimization.

Drug Utilization Studies and Data Registries in Primary Care.

This article reviews the methodology of the studies on drug utilization with particular emphasis on primary care. Population based studies of drug inappropriateness can be done with microdata from Health Electronic Records and e-prescriptions. Multilevel models estimate the influence of factors affecting the appropriateness of drug prescription at different hierarchical levels: patient, doctor, health care organization and regulatory environment. Work by the GIUMAP suggest that patient characteristics are the most important factor in the appropriateness of prescriptions with significant effects at the general practicioner level.

The achievable region approach to the optimal control of stochastic systems

The achievable region approach seeks solutions to stochastic optimisation problems by: (i) characterising the space of all possible performances(the achievable region) of the system of interest, and (ii) optimisingthe overall system-wide performance objective over this space. This isradically different from conventional formulations based on dynamicprogramming. The approach is explained with reference to a simpletwo-class queueing system. Powerful new methodologies due to the authorsand co-workers are deployed to analyse a general multiclass queueingsystem with parallel servers and then to develop an approach to optimalload distribution across a network of interconnected stations. Finally,the approach is used for the first time to analyse a class of intensitycontrol problems.

Beyond Smith's rule: An optimal dynamic index, rule for single machine stochastic scheduling with convex holding costs

Most research on single machine scheduling has assumedthe linearity of job holding costs, which is arguablynot appropriate in some applications. This motivates ourstudy of a model for scheduling $n$ classes of stochasticjobs on a single machine, with the objective of minimizingthe total expected holding cost (discounted or undiscounted). We allow general holding cost rates that are separable,nondecreasing and convex on the number of jobs in eachclass. We formulate the problem as a linear program overa certain greedoid polytope, and establish that it issolved optimally by a dynamic (priority) index rule,whichextends the classical Smith's rule (1956) for the linearcase. Unlike Smith's indices, defined for each class, ournew indices are defined for each extended class, consistingof a class and a number of jobs in that class, and yieldan optimal dynamic index rule: work at each time on a jobwhose current extended class has larger index. We furthershow that the indices possess a decomposition property,as they are computed separately for each class, andinterpret them in economic terms as marginal expected cost rate reductions per unit of expected processing time.We establish the results by deploying a methodology recentlyintroduced by us [J. Niño-Mora (1999). "Restless bandits,partial conservation laws, and indexability. "Forthcomingin Advances in Applied Probability Vol. 33 No. 1, 2001],based on the satisfaction by performance measures of partialconservation laws (PCL) (which extend the generalizedconservation laws of Bertsimas and Niño-Mora (1996)):PCL provide a polyhedral framework for establishing theoptimality of index policies with special structure inscheduling problems under admissible objectives, which weapply to the model of concern.

Shared knowledge

Agents use their knowledge on the history of the economy in orderto choose what is the optimal action to take at any given moment of time,but each individual observes history with some noise. This paper showsthat the amount of information available on the past evolution of theeconomy is an endogenous variable, and that this leads to overconcentrationof the investment, which can be interpreted as underinvestment in research.It presents a model in which agents have to invest at each period in one of$K$ sectors, each of them paying an exogenous return that follows a welldefined stochastic path. At any moment of time each agent receives an unbiasednoisy signal on the payoff of each sector. The signals differ across agents,but all of them have the same variance, which depends on the aggregate investmentin that particular sector (so that if almost everybody invests in it theperceptions of everybody will be very accurate, but if almost nobody doesthe perceptions of everybody will be very noisy). The degree of hetereogeneityacross agents is then an endogenous variable, evolving across time determining,and being determined by, the amount of information disclosed.As long as both the level of social interaction and the underlying precisionof the observations are relatively large agents behave in a very preciseway. This behavior is unmodified for a huge range of informational parameters,and it is characterized by an excessive concentration of the investment ina few sectors. Additionally the model shows that generalized improvements in thequality of the information that each agent gets may lead to a worse outcomefor all the agents due to the overconcentration of the investment that thisproduces.