Caracterización hidrogeológica del acuífero freático en el entorno de la Laguna Moreno, localidad de Pico Truncado, Provincia de Santa Cruz

Fil: Paoletti, Hugo Gabriel. Cátedra de Hidrogeología. Facultad de Ciencias Naturales y Museo. Universidad Nacional de La Plata; ArgentinaFil: Perera, Fernando Leopoldo. Cátedra de Hidrogeología. Facultad de Ciencias Naturales y Museo. Universidad Nacional de La Plata; ArgentinaFil: Ruiz, Maria Soledad. Hidroar S.A. La Plata. Buenos Aires; ArgentinaFil: Hernandez, Patricio Agustín. Hidroar S.A. La Plata. Buenos Aires; ArgentinaFil: Castilla, Alejandro. YPF S.A. Ciudad Autónoma de Buenos Aires; ArgentinaFil: Martino, Sebastian. YPF S.A. Ciudad Autónoma de Buenos Aires; ArgentinaFil: Pierrard, Leonardo. YPF S.A. Ciudad Autónoma de Buenos Aires; Argentin

Kangaroo mother care had a protective effect on the volume of brain structures in young adults born preterm

Q1Q1Jóvenes adultosAim: The protective effects of Kangaroo mother care (KMC) on the neurodevelop-ment of preterm infants are well established, but we do not know whether the ben-efits persist beyond infancy. Our aim was to determine whether providing KMC in infancy affected brain volumes in young adulthood. Method: Standardised cognitive, memory and motor skills tests were used to determine the brain volumes of 20-year-old adults who had formed part of a randomised controlled trial of KMC versus incubator care. Multivariate analysis of brain volumes was conducted according to KMC exposure. Results: The study comprised 178 adults born preterm: 97 had received KMC and 81 were incubator care controls. Bivariate analysis showed larger volumes of total grey matter, basal nuclei and cerebellum in those who had received KMC, and the white matter was better organised. This means that the volumes of the main brain structures associated with intelligence, attention, memory and coordination were larger in the KMC group. Multivariate lineal regression analysis demonstrated the direct rela-tionship between brain volumes and duration of KMC, after controlling for potential confounders. Conclusion: Our findings suggest that the neuroprotective effects of KMC for pre-term infants persisted beyond childhood and improved their lifetime functionality and quality of life.https://orcid.org/0000-0001-6697-5837https://orcid.org/0000-0002-1923-3934https://orcid.org/0000-0001-5464-2701Revista Internacional - IndexadaA1N

Caracterización hidrogeológica del acuífero freático en el entorno de la Laguna Moreno, localidad de Pico Truncado, Provincia de Santa Cruz

En el marco de un estudio de diagnóstico ambiental en un sector con intensa actividad antrópica, se desarrolló la caracterización hidrogeológica del acuífero freático en el entorno inmediato y próximo a la Laguna Moreno, situada a unos 3 km al norte de la localidad de Pico Truncado, en el sector centro-norte de la provincia de Santa Cruz. Las principales fuentes de aporte al cuerpo lagunar responden en forma directa a las precipitaciones, al escurrimiento superficial transitorio y al subterráneo, este último definido por el comportamiento centrípeto de la superficie freática. Coincidente con la red de flujo subterránea, los valores de conductividad eléctrica del agua aumentan progresivamente hacia el centro del cuerpo lagunar. Las características y hallazgos de las componentes hidrodinámicas e hidroquímicas del sistema freático investigado, permitieron dilucidar el funcionamiento del acuífero somero respecto a la variable ambiental y antrópica que caracterizan el sitio.In the context of an environmental assessment study in an area with anthropogenic activities, was developed the hydrogeology characterization of phreatic aquifer in a surroundings to Laguna Moreno, situated 3 km north of the city of Pico Truncado, in the north-centre area of Santa Cruz province. The main sources of contribution to the shallow lake body reply in a direct way to the precipitation, to the transitory superficial run-off and groundwater flow, this last was defined by the centripetal behavior of the phreatic surface. Coincident with the local groundwater surface, the values of electrical conductivity of water rising towards the center of the shallow lake. The characteristics and findings of the hydrodynamic and hydrochemical components of the groundwater system investigated, clarify the functionality of hydrogeological system respect to environmental and anthropogenic variables that characterize the site.Universidad Nacional de La Plat

Actualidad y futuro del derecho procesal. Principios, reglas y pruebas

A la administración de justicia suelen formulársele todo tipo de críticas; sin embargo, una de las formas en que desde la academia podemos contribuir al mejoramiento de la misma consiste en conocer y estudiar con rigurosidad científica los diversos mecanismos que el legislador con apoyo en la doctrina y la jurisprudencia ha concebido para su puesta en práctica. Con ese propósito, en este libro conmemorativo de la expedición de los 40 años del Código de Procedimiento Civil colombiano el lector encontrará variadas, modernas y muy serias posturas ideológicas y jurídicas expresadas por juristas nacionales e internacionales, acerca de temas de tanta trascendencia para el derecho procesal como son el rol que debe asumir el juez en procura de hacer efectivas las garantías del proceso, la inseguridad jurídica que surge de una falta de metodología en la aplicación de los principios constitucionales y las reglas del procedimiento, el replanteamiento de la prueba de oficio, la actual visión en torno a las medidas cautelares y los medios de prueba electrónicos, el instituto de la perención o la figura del litisconsorcio necesario y las consecuencias de la solidaridad en los procesos ejecutivos que se adelantan con base en un título hipotecario

New prioritized value iteration for Markov decision processes

The problem of solving large Markov decision processes accurately and quickly is challenging. Since the computational effort incurred is considerable, current research focuses on finding superior acceleration techniques. For instance, the convergence properties of current solution methods depend, to a great extent, on the order of backup operations. On one hand, algorithms such as topological sorting are able to find good orderings but their overhead is usually high. On the other hand, shortest path methods, such as Dijkstra's algorithm which is based on priority queues, have been applied successfully to the solution of deterministic shortest-path Markov decision processes. Here, we propose an improved value iteration algorithm based on Dijkstra's algorithm for solving shortest path Markov decision processes. The experimental results on a stochastic shortest-path problem show the feasibility of our approach. © Springer Science+Business Media B.V. 2011.García Hernández, MDG.; Ruiz Pinales, J.; Onaindia De La Rivaherrera, E.; Aviña Cervantes, JG.; Ledesma Orozco, S.; Alvarado Mendez, E.; Reyes Ballesteros, A. (2012). New prioritized value iteration for Markov decision processes. Artificial Intelligence Review. 37(2):157-167. doi:10.1007/s10462-011-9224-zS157167372Agrawal S, Roth D (2002) Learning a sparse representation for object detection. In: Proceedings of the 7th European conference on computer vision. Copenhagen, Denmark, pp 1–15Bellman RE (1954) The theory of dynamic programming. Bull Amer Math Soc 60: 503–516Bellman RE (1957) Dynamic programming. Princeton University Press, New JerseyBertsekas DP (1995) Dynamic programming and optimal control. Athena Scientific, MassachusettsBhuma K, Goldsmith J (2003) Bidirectional LAO* algorithm. 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Cumbria, UKBoutilier C, Dean T, Hanks S (1999) Decision-theoretic planning: structural assumptions and computational leverage. J Artif Intell Res 11: 1–94Chang I, Soo H (2007) Simulation-based algorithms for Markov decision processes Communications and control engineering. Springer, LondonDai P, Goldsmith J (2007a) Faster dynamic programming for Markov decision processes. Technical report. Doctoral consortium, department of computer science and engineering. University of WashingtonDai P, Goldsmith J (2007b) Topological value iteration algorithm for Markov decision processes. In: Proceedings of the 20th international joint conference on artificial intelligence. Hyderabad, India, pp 1860–1865Dai P, Hansen EA (2007c) Prioritizing bellman backups without a priority queue. In: Proceedings of the 17th international conference on automated planning and scheduling, association for the advancement of artificial intelligence. Rhode Island, USA, pp 113–119Dibangoye JS, Chaib-draa B, Mouaddib A (2008) A Novel prioritization technique for solving Markov decision processes. In: Proceedings of the 21st international FLAIRS (The Florida Artificial Intelligence Research Society) conference, association for the advancement of artificial intelligence. Florida, USAFerguson D, Stentz A (2004) Focused propagation of MDPs for path planning. In: Proceedings of the 16th IEEE international conference on tools with artificial intelligence. pp 310–317Hansen EA, Zilberstein S (2001) LAO: a heuristic search algorithm that finds solutions with loops. Artif Intell 129: 35–62Hinderer K, Waldmann KH (2003) The critical discount factor for finite Markovian decision processes with an absorbing set. Math Methods Oper Res 57: 1–19Li L (2009) A unifying framework for computational reinforcement learning theory. PhD Thesis. The state university of New Jersey, New Brunswick. NJLittman ML, Dean TL, Kaelbling LP (1995) On the complexity of solving Markov decision problems.In: Proceedings of the 11th international conference on uncertainty in artificial intelligence. Montreal, Quebec pp 394–402McMahan HB, Gordon G (2005a) Fast exact planning in Markov decision processes. In: Proceedings of the 15th international conference on automated planning and scheduling. Monterey, CA, USAMcMahan HB, Gordon G (2005b) Generalizing Dijkstra’s algorithm and gaussian elimination for solving MDPs. Technical report, Carnegie Mellon University, PittsburghMeuleau N, Brafman R, Benazera E (2006) Stochastic over-subscription planning using hierarchies of MDPs. In: Proceedings of the 16th international conference on automated planning and scheduling. Cumbria, UK, pp 121–130Moore A, Atkeson C (1993) Prioritized sweeping: reinforcement learning with less data and less real time. Mach Learn 13: 103–130Puterman ML (1994) Markov decision processes. 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