Propuesta para el análisis de la competitividad de la terminal pesquera del puerto de Mar del Plata

Los puertos modernos, en general, han dejado de tener una situación preferencial respecto a sus zonas de influencia, debido a las cadenas integradas de transporte. En este sentido, la evaluación de la competitividad a través de la productividad y eficiencia resulta relevante. Mar del Plata posee un importante puerto multipropósito, destacándose principalmente como terminal pesquera. El método de análisis de la envolvente de datos (Data Envelopment Analysis - DEA), es una herramienta de evaluación económica cuantitativa válida para estudiar el desempeño comparativo de la productividad a partir de la construcción de una frontera empírica de eficiencia. Esta metodología posee la ventaja de facilitar un tratamiento multidimensional, tanto desde el espacio de los insumos como del de los productos. En este trabajo se diseña una metodología para medir la competitividad global de las terminales pesqueras, comparables con las del puerto de Mar del Plata,a partir de la definición de un modelo DEA apropiado orientado a la entrada, utilizando un panel de datos.Fil: Esteban, Alejandra M. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina.Fil: Zárate, Claudia N. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina.Fil: Graña, Fernando Manuel. Universidad Nacional de Mar del Plata. Facultad de Ciencias Económicas y Sociales; Argentina

Aprender a reconocer la manipulación en informativos de TV : el caso de Telemadrid, 2003-2012

Las noticias en formato audiovisual inundan las distintas pantallas, y en muchas ocasiones como elaboraciones y contenidos que sobrepasan los límites de la función informativa hacia la propaganda, la voluntad comercial o la opinión. Una sociedad democrática idealmente sana debería estar formada por ciudadanos capaces de seleccionar los mensajes de su interés, analizarlos y evaluar sus contenidos, diferenciando entre los que responden al derecho a la libertad de información y los que pretenden otras intenciones. Estos son algunos de los objetivos de la iniciativa para la alfabetización mediática e informacional (o, en sus siglas en inglés, MIL, Media Information Literacy). El establecimiento de la agenda, el estudio del énfasis, la enunciación o la reiteración de enunciados no son las únicas fórmulas de manipulación de los noticieros audiovisuales diarios. A algunos vicios periodísticos ya conocidos hay que añadir los procedimientos manipuladores que corresponden a las técnicas del montaje audiovisual. Partiendo de la premisa de que cualquier forma de construcción es manipulable, este trabajo propone un debate sobre las estructuras de montaje audiovisual a distintos niveles -programación, articulación de la escaleta de noticias, montaje-, con la finalidad de poner de relieve que, en muchas ocasiones, la mera formación en análisis de textos audiovisuales no es suficiente para desvelar prácticas de manipulación deshonesta en la construcción de la noticia y que, por lo tanto, es necesario que la alfabetización incluya un adiestramiento en las prácticas de producción profesionales, que capacite para detectar la intención manipulativa en el propio proceso de escritura audiovisual. Se utilizan como ejemplo, en este caso negativo, noticias y tratamientos informativos que Telemadrid ha mostrado en sus pantallas durante la década 2003-2012

Amendment application in a multi-contaminated mine soil: Effects on soil enzymatic activities and ecotoxicological characteristics

The final publication is available at Springer via http://dx.doi.org/10.1007/s11356-013-2412-4Several amendments were tested on soils obtained from an arsenopyrite mine, further planted with Arrhenatherum elatius and Festuca curvifolia, in order to assess their ability to improve soil's ecotoxicological characteristics. The properties used to assess the effects were: soil enzymatic activities (dehydrogenase, β-glucosidase, acid phosphatase, urease, protease and cellulase), terrestrial bioassays (Eisenia fetida mortality and avoidance behaviour), and aquatic bioassays using a soil leachate (Daphnia magna immobilisation and Vibrio fischeri bioluminescence inhibition). The treatment with FeSO4 1 % w/w was able to reduce extractable As in soil, but increased the extractable Cu, Mn and Zn concentrations, as a consequence of the decrease in soil pH, in relation to the unamended soil, from 5.0 to 3.4, respectively. As a consequence, this treatment had a detrimental effect in some of the soil enzymatic activities (e.g. dehydrogenase, acid phosphatase, urease and cellulase), did not allow plant growth, induced E. fetida mortality in the highest concentration tested (100 % w/w), and its soil leachate was very toxic towards D. magna and V. fischeri. The combined application of FeSO4 1 % w/w with other treatments (e.g. CaCO3 1 % w/w and paper mill 1 % w/w) allowed a decrease in extractable As and metals, and a soil pH value closer to neutrality. As a consequence, dehydrogenase activity, plant growth and some of the bioassays identified those as better soil treatments to this type of multi-contaminated soi

Analysis of the stress state of a halved and tabled traditional timber scarf joint with the Finite Element Method

The purpose of this study is to determine the stress distribution in the carpentry joint of halved and tabled scarf joint with the finite element method (FEM) and its comparison with the values obtained using the theory of Strength of Materials. The stress concentration areas where analyzed and the influence of mesh refinement was studied on the results in order to determine the mesh size that provides the stress values more consistent with the theory. In areas where stress concentration is lower, different mesh sizes show similar stress values. In areas where stress concentration occurs, the same values increase considerably with the refinement of the mesh. The results show a central symmetry of the isobar lines distribution where the centre of symmetry corresponds to the geometric centre of the joint. Comparison of normal stress levels obtained by the FEM and the classical theory shows small differences, except at points of stress concentration

DSM from TLS: a 3D planning verification tool GIS integration for terrestrial laser scanner data for Lloret de Mar historical centre planning

Peer Reviewe

Porous Titanium Cylinders Obtained by the Freeze-Casting Technique: Influence of Process Parameters on Porosity and Mechanical Behavior

 The discrepancy between the stiffness of commercially pure titanium and cortical bone  tissue compromises its success as a biomaterial. The use of porous titanium has been widely studied,  however, it is still challenging to obtain materials able to replicate the porous structure of the bones  (content, size, morphology and distribution). In this work, the freeze‐casting technique is used to  manufacture cylinders with elongated porosity, using a home‐made and economical device. The  relationship between the processing parameters (diameter and material of the mold, temperature  gradient), microstructural features and mechanical properties is established and discussed, in terms  of ensuring biomechanical and biofunctional balance. The cylinders have a gradient porosity  suitable for use in dentistry, presenting higher Young’s modulus at the bottom, near the cold spot  and, therefore better mechanical resistance (it would be in contact with a prosthetic crown), while  the opposite side, the hot spot, has bigger, elongated pores and walls.  Ministry of Economy and Competitiveness of Spain  grant  MAT2015‐71284‐P  FEDER‐Junta de Andalucía Research  Project (Modeling and implementation of the freeze casting technique: gradients of porosity with a tribomechanical equilibrium and electro‐stimulated cellular behavior).

Screening and quantification of micro(nano)plastics and plastic additives in the seawater of Mar Menor lagoon

In this work a suspect-screening approach was employed to assess the polymers and plastic additives of micro(nano)plastics (NPL/MPLs) of size ranges from the nm range to 20 μm present in seawater from the top 5 cm of the Mar Menor lagoon during two sampling campaigns (summer and winter), as well of other potentially adsorbed compounds onto the plastic particles surfaces and suspended material. The identification of NPL/MPLs has been based on characteristic Kendrick Mass Defect analysis for each polymer type in mass spectra. The applied methodology allowed to identify NPLs/MPLs of polystyrene (PS), polyethylene (PE), polyisoprene (PI), polybutadiene (PBD), polypropylene (PP), polyamides (PA), polyvinylchloride (PVC), n-isopropylacrylamide (PNIPAm), and polydimethylsiloxanes. In addition, PS, PE, PI, PBD, PP, PA, and PVC were confirmed with standards, and the equivalent concentrations were quantified. The results of this study showed that most frequently found compounds were PP, PE, PA and PNIPAm, while the compound found at higher concentrations was by far PP reaching the 9,303 ± 366 ng/mL in one of the samples. A total number of 135 chemical compounds were tentatively identified, 74 of them plastic additives and compounds used in the polymers manufacture or coming from the polymer’s decomposition. In relation to plastic additives, the more frequently tentatively identified compounds were plasticizers such as phthalates group; stabilizers such as antioxidants (e.g., distearyl 3,3′-thiodipropionate, 2,5-di-tert-butylhydroquinone), and UV filters as benzotriazoles. Several flame retardants of the group of phosphates were as well detected. The other compounds tentatively identified in the samples were pharmaceuticals, pesticides, food additives, flavors and natural products that were attached onto the plastic particles and particulate matter from surrounding waters. In regards to the seasonal variation, during the summer a major number of compounds were tentatively detected, while de concentrations of polymers were slightly higher in winter. The spatial distribution showed higher contamination in the southern part of the coastal lagoon.Postprin

Topography of Cortical Activation Differs for Fundamental and Harmonic Frequencies of the Steady-State Visual-Evoked Responses. An EEG and PET H15 2 O Study

In humans, visual flicker stimuli of graded frequency (2--90 Hz) elicit an electroencephalographic (EEG) steady-state visual-evoked response (SSVER) with the same fundamental frequency as the stimulus and, in addition, a series of harmonic responses. The fundamental component of the SSVER is generated by increased synaptic activity in primary visual cortex (V1). We set out to determine the cortical origin of the harmonic responses in humans. For this purpose, we recorded the SSVERs at 5 different frequencies (5, 10, 15, 25, and 40 Hz) and measured regional cerebral blood flow (rCBF) with positron emission tomography-H15 2 O at rest and during visual stimulation at the same frequencies. The rCBF contrast weighted by the amplitude of the SSVERs first harmonics showed activation of a swath of cortex perpendicular to V1, including mostly the inferior half of the parietooccipital sulcus. This area overlapped minimally with the primary visual cortex activated by the fundamental frequency. A different method, estimating EEG cortical source current density with lowresolution brain electromagnetic tomography, gave the same results. Our finding suggests that the inferior portion of the banks of the parieto-occipital sulci contains association visual cortex involved in the procparieto-occipital sulcus

Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts

Time domain astronomy is advancing towards the analysis of multiple massive datasets in real time, prompting the development of multi-stream machine learning models. In this work, we study Domain Adaptation (DA) for real/bogus classification of astronomical alerts using four different datasets: HiTS, DES, ATLAS, and ZTF. We study the domain shift between these datasets, and improve a naive deep learning classification model by using a fine tuning approach and semi-supervised deep DA via Minimax Entropy (MME). We compare the balanced accuracy of these models for different source-target scenarios. We find that both the fine tuning and MME models improve significantly the base model with as few as one labeled item per class coming from the target dataset, but that the MME does not compromise its performance on the source dataset