Efecto del genotipo, densidad de siembra y fertilización con nitrógeno en trigo (Triticum vulgare L.).

Se estudió el comportamiento de dos variedades de trigo frente a distintas densidades de siembra y dosis de N. El experimento se realizó en el Centro de Investigaciones Tibaitatá, con una variedad de porte alto (ICA-Samacá 68) y una semienana (II-20899-126) en densidades de siembra de 80; 110; 140 y 170 kg/ha de semilla) y cinco niveles de N: 0; 50; 100; 150 y 200 kg/ha, en forma de úrea. Las variedades se evaluaron por: producción de grano, macollas efectivas por planta; granos por espiga; peso de los granos y relación granos/paja. En la variedad II-20899-126 los distintos tratamientos de N y densidad de siembra aumentaron los rendimientos. En ICA-Samacá 68, el mejor rendimiento se obtuvo con una densidad de siembra de 80 kg/ha y 50 kg/ha de N. En la variedad semienana, la densidad de siembra causó aumento significativo en el rendimiento de grano y en el peso de los granos y disminución en el número de macollas por planta y granos por espiga. La fertilización nitrogenada aumentó el rendimiento de grano, macollas por planta y granos por espiga. En la variedad ICA-Samacá 68, la densidad de siembra redujo el rendimiento de grano y el número de granos por espigaTrigo-Triticum aestivuMaestría en CienciasMaestrí

MATERIAL COMPUESTO ALTERNATIVO PARA SISTEMAS DE ENTIBACIÓN DE MINERÍA DE CARBÓN DE NORTE DE SANTANDER

Se desarrollaron materiales compuesto usando sistema de resinas epóxicas como matriz y desechos de polvo de cerámica como refuerzo para remplazar la madera usada comúnmente en los sistemas de entibación en las minas de carbón de Norte de Santander. La caracterización de los materiales se realizó mediante ensayos de flexión de y por un montaje a nivel laboratorio del sistema de entibación. Se estudiaron los tamaños óptimos de los capis mediante recolección de datos de campo, simulación y diseño de experimentos de las variables influyentes. Para determinación de las propiedades requeridas del sistema, se realizó ingeniería inversa usando la metodología de Ashby. Se determinó el impacto de la deforestación por el uso de la madera en el departamento de Norte de Santander

Curso de apoyo al licenciamiento de centrales nucleares. Diseño metodológico y utilización de TICs

Fil: Murúa, C. A. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro Universitario de Tecnología Nuclear; Argentina.Fil: Murúa, C. A. Comisión Nacional de Energía Atómica; Argentina.Fil: Chautemps, N. A. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro Universitario de Tecnología Nuclear; Argentina.Fil: Chautemps, N. A. Comisión Nacional de Energía Atómica; Argentina.Fil: Triviño, S. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro Universitario de Tecnología Nuclear; Argentina.Fil: Triviño, S. Comisión Nacional de Energía Atómica; Argentina.Fil: Rossi Mescolati, F. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro Universitario de Tecnología Nuclear; Argentina.Fil: Rossi Mescolati, F. Comisión Nacional de Energía Atómica; Argentina.En este trabajo se presenta una experiencia de capacitación a personal de los sectores operación y radioprotección de centrales nucleares. La misma incluye el diseño del curso con su material educativo y la conformación del aula virtual. El planteo de estrategias pedagógicas para promover el aprendizaje utilizando las herramientas que ofrece Moodle, y el resultado obtenido a través del dictado del contenido curricular con modalidad semipresencial.Fil: Murúa, C. A. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro Universitario de Tecnología Nuclear; Argentina.Fil: Murúa, C. A. Comisión Nacional de Energía Atómica; Argentina.Fil: Chautemps, N. A. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro Universitario de Tecnología Nuclear; Argentina.Fil: Chautemps, N. A. Comisión Nacional de Energía Atómica; Argentina.Fil: Triviño, S. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro Universitario de Tecnología Nuclear; Argentina.Fil: Triviño, S. Comisión Nacional de Energía Atómica; Argentina.Fil: Rossi Mescolati, F. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro Universitario de Tecnología Nuclear; Argentina.Fil: Rossi Mescolati, F. Comisión Nacional de Energía Atómica; Argentina.Ciencias de la Computació

Integrated photonics on silicon with wide bandgap GaN semiconductor

We report on GaN self-supported photonic structures consisting in freestanding waveguides coupled to photonic crystal waveguides and cavities operating in the near-infrared. GaN layers were grown on Si (111) by metal organic vapor phase epitaxy. E-beam lithography and dry etching techniques were employed to pattern the GaN layer and undercut the substrate. The combination of low-absorption in the infrared range and improved etching profiles results in cavities with quality factors as high as $5400. The compatibility with standard Si technology should enable the development of low cost photonic devices for optical communications combining wide-bandgap III-nitride semiconductors and silicon

Adenomas hipofisarios no funcionantes: valoración de la invasión, persistencia, recurrencia y del índice de proliferación celular Ki-67

Resume

Intrusion Detection Systems Based on Artificial Intelligence Techniques in Wireless Sensor Networks

[EN] Intrusion detection system (IDS) is regarded as the second line of defense against network anomalies and threats. IDS plays an important role in network security. There are many techniques which are used to design IDSs for specific scenario and applications. Artificial intelligence techniques are widely used for threats detection. This paper presents a critical study on genetic algorithm, artificial immune, and artificial neural network (ANN) based IDSs techniques used in wireless sensor network (WSN)The authors extend their appreciation to the Distinguished Scientist Fellowship Program(DSFP) at King Saud University for funding this research.Alrajeh, NA.; Lloret, J. (2013). Intrusion Detection Systems Based on Artificial Intelligence Techniques in Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 2013(351047):1-6. https://doi.org/10.1155/2013/351047S16201335104

CCP4 Cloud for structure determination and project management in macromolecular crystallography

Nowadays, progress in the determination of three-dimensional macromolecular structures from diffraction images is achieved partly at the cost of increasing data volumes. This is due to the deployment of modern high-speed, high-resolution detectors, the increased complexity and variety of crystallographic software, the use of extensive databases and high-performance computing. This limits what can be accomplished with personal, offline, computing equipment in terms of both productivity and maintainability. There is also an issue of long-term data maintenance and availability of structure-solution projects as the links between experimental observations and the final results deposited in the PDB. In this article, CCP4 Cloud, a new front-end of the CCP4 software suite, is presented which mitigates these effects by providing an online, cloud-based environment for crystallographic computation. CCP4 Cloud was developed for the efficient delivery of computing power, database services and seamless integration with web resources. It provides a rich graphical user interface that allows project sharing and long-term storage for structure-solution projects, and can be linked to data-producing facilities. The system is distributed with the CCP4 software suite version 7.1 and higher, and an online publicly available instance of CCP4 Cloud is provided by CCP4.The following funding is acknowledged: Biotechnology and Biological Sciences Research Council (grant No. BB/L007037/1; grant No. BB/S007040/1; grant No. BB/S007083/1; grant No. BB/S005099/1; grant No. BB/S007105/1; award No. BBF020384/1); Medical Research Council (grant No.MC_UP_A025_1012; grant No. MC_U105184325); Ro¨ntgenA˚ ngstro¨m Cluster (grant No. 349-2013-597); Nederlandse Wetenschappelijke Organisatie (grant No. TKI 16219)

Cognitive Performance and Heart Rate Variability: The Influence of Fitness Level

In the present study, we investigated the relation between cognitive performance and heart rate variability as a function of fitness level. We measured the effect of three cognitive tasks (the psychomotor vigilance task, a temporal orienting task, and a duration discrimination task) on the heart rate variability of two groups of participants: a high-fit group and a low-fit group. Two major novel findings emerged from this study. First, the lowest values of heart rate variability were found during performance of the duration discrimination task, compared to the other two tasks. Second, the results showed a decrement in heart rate variability as a function of the time on task, although only in the low-fit group. Moreover, the high-fit group showed overall faster reaction times than the low-fit group in the psychomotor vigilance task, while there were not significant differences in performance between the two groups of participants in the other two cognitive tasks. In sum, our results highlighted the influence of cognitive processing on heart rate variability. Importantly, both behavioral and physiological results suggested that the main benefit obtained as a result of fitness level appeared to be associated with processes involving sustained attention.This research was supported by the Spanish Ministerio de Educación y Cultura with a predoctoral grant (FPU-AP2010-3630) to the first author, Spanish grants SEJ2007-63645 from the Junta de Andalucía to Daniel Sanabria, Mikel Zabala and Esther Morales, and the CSD2008-00048 CONSOLIDER INGENIO (Dirección General de Investigación) to Daniel Sanabria

Linking like with like: optimising connectivity between environmentally-similar habitats

Habitat fragmentation is one of the greatest threats to biodiversity. To minimise the effect of fragmentation on biodiversity, connectivity between otherwise isolated habitats should be promoted. However, the identification of linkages favouring connectivity is not trivial. Firstly, they compete with other land uses, so they need to be cost-efficient. Secondly, linkages for one species might be barriers for others, so they should effectively account for distinct mobility requirements. Thirdly, detailed information on the auto-ecology of most of the species is lacking, so linkages need being defined based on surrogates. In order to address these challenges we develop a framework that (a) identifies environmentally-similar habitats; (b) identifies environmental barriers (i.e., regions with a very distinct environment from the areas to be linked), and; (c) determines cost-efficient linkages between environmentally-similar habitats, free from environmental barriers. The assumption is that species with similar ecological requirements occupy the same environments, so environmental similarity provides a rationale for the identification of the areas that need to be linked. A variant of the classical minimum Steiner tree problem in graphs is used to address c). We present a heuristic for this problem that is capable of handling large datasets. To illustrate the framework we identify linkages between environmentally-similar protected areas in the Iberian Peninsula. The Natura 2000 network is used as a positive ‘attractor’ of links while the human footprint is used as ‘repellent’ of links.Wecompare the outcomes of our approach with cost-efficient networks linking protected areas that disregard the effect of environmental barriers. As expected, the latter achieved a smaller area covered with linkages, but with barriers that can significantly reduce the permeability of the landscape for the dispersal of some species