Aproximaciones al estudio de la interacción individuo-paisaje a modo de evocación comunicativa intrapersonal (1a. parte)

El análisis de la interacción individuo-paisaje presenta numerosas perspectivas de estudio vinculadas a la generación e interpretación de simbolismos e imaginarios. La capacidad significante y/o de evocación comunicativa del paisaje encuentra, en la comunicación intrapersonal, una argumentación relevante en el proceso de construcción de un aparato teórico que permita estudiar el proceso de apropiación y vivencia del paisaje en términos de manifestación comunicativa. El despliegue de un aparato teórico que permita interpretar el mensaje del paisaje así como descodificar su discurso intangible, representa el objetivo principal de la investigación que se presenta a continuación.

Three-dimensional magnetic resonance myocardial motion tracking from a single image plane.

Three-dimensional imaging for the quantification of myocardial motion is a key step in the evaluation of cardiac disease. A tagged magnetic resonance imaging method that automatically tracks myocardial displacement in three dimensions is presented. Unlike other techniques, this method tracks both in-plane and through-plane motion from a single image plane without affecting the duration of image acquisition. A small z-encoding gradient is subsequently added to the refocusing lobe of the slice-selection gradient pulse in a slice following CSPAMM acquisition. An opposite polarity z-encoding gradient is added to the orthogonal tag direction. The additional z-gradients encode the instantaneous through plane position of the slice. The vertical and horizontal tags are used to resolve in-plane motion, while the added z-gradients is used to resolve through-plane motion. Postprocessing automatically decodes the acquired data and tracks the three-dimensional displacement of every material point within the image plane for each cine frame. Experiments include both a phantom and in vivo human validation. These studies demonstrate that the simultaneous extraction of both in-plane and through-plane displacements and pathlines from tagged images is achievable. This capability should open up new avenues for the automatic quantification of cardiac motion and strain for scientific and clinical purposes.

Uncertainty Quantification with Support Vector Regression Prediction Models

Uncertainty quantification of petroleum reservoir models is one of the present challenges, which is usually approached with a wide range of geostatistical tools linked with statistical optimisation or/and inference algorithms. The paper considers a data driven approach in modelling uncertainty in spatial predictions. Proposed semi-supervised Support Vector Regression (SVR) model has demonstrated its capability to represent realistic features and describe stochastic variability and non-uniqueness of spatial properties. It is able to capture and preserve key spatial dependencies such as connectivity, which is often difficult to achieve with two-point geostatistical models. Semi-supervised SVR is designed to integrate various kinds of conditioning data and learn dependences from them. A stochastic semi-supervised SVR model is integrated into a Bayesian framework to quantify uncertainty with multiple models fitted to dynamic observations. The developed approach is illustrated with a reservoir case study. The resulting probabilistic production forecasts are described by uncertainty envelopes.

Statistical analysis and modelling of weather radar beam propagation conditions in the Po Valley (Italy)

Ground clutter caused by anomalous propagation (anaprop) can affect seriously radar rain rate estimates, particularly in fully automatic radar processing systems, and, if not filtered, can produce frequent false alarms. A statistical study of anomalous propagation detected from two operational C-band radars in the northern Italian region of Emilia Romagna is discussed, paying particular attention to its diurnal and seasonal variability. The analysis shows a high incidence of anaprop in summer, mainly in the morning and evening, due to the humid and hot summer climate of the Po Valley, particularly in the coastal zone. Thereafter, a comparison between different techniques and datasets to retrieve the vertical profile of the refractive index gradient in the boundary layer is also presented. In particular, their capability to detect anomalous propagation conditions is compared. Furthermore, beam path trajectories are simulated using a multilayer ray-tracing model and the influence of the propagation conditions on the beam trajectory and shape is examined. High resolution radiosounding data are identified as the best available dataset to reproduce accurately the local propagation conditions, while lower resolution standard TEMP data suffers from interpolation degradation and Numerical Weather Prediction model data (Lokal Model) are able to retrieve a tendency to superrefraction but not to detect ducting conditions. Observing the ray tracing of the centre, lower and upper limits of the radar antenna 3-dB half-power main beam lobe it is concluded that ducting layers produce a change in the measured volume and in the power distribution that can lead to an additional error in the reflectivity estimate and, subsequently, in the estimated rainfall rate.

1H-[13C] NMR spectroscopy of the rat brain during infusion of [2-13C] acetate at 14.1 T.

Full signal intensity (1)H-[(13)C] NMR spectroscopy, combining a preceding (13)C-editing block based on an inversion BISEP (B(1)-insensitive spectral editing pulse) with a spin-echo coherence-based localization, was developed and implemented at 14.1 T. (13)C editing of the proposed scheme was achieved by turning on and off the (13)C adiabatic full passage in the (13)C-editing block to prepare inverted and noninverted (13)C-coupled (1)H coherences along the longitudinal axis prior to localization. The novel (1)H-[(13)C] NMR approach was applied in vivo under infusion of the glia-specific substrate [2-(13)C] acetate. Besides a approximately 50% improvement in sensitivity, spectral dispersion was enhanced at 14.1 T, especially for J-coupled metabolites such as glutamate and glutamine. A more distinct spectral structure at 1.9-2.2 ppm(parts per million) was observed, e.g., glutamate C3 showed a doublet pattern in both simulated (1)H spectrum and in vivo (13)C-edited (1)H NMR spectra. Besides (13)C time courses of glutamate C4 and glutamine C4, the time courses of glutamate C3 and glutamine C3 obtained by (1)H-[(13)C] NMR spectroscopy were reported for the first time. Such capability should greatly improve the ability to study neuron-glial metabolism using (1)H-observed (13)C-edited NMR spectroscopy.

The tumor suppressive role of WIF1 in glioblastoma

Expression based prediction of gene alterations identified WNT inhibitory factor I (WIF1) as a new candidate tumor suppressor gene involved in glioblastoma. WIF1 encodes a secreted WNT antagonist and it is strongly down-regulated in most glioblastoma as compared to normal brain both by genomic deletion and WIF1 promoter hypermethylation. WIF1 expression in glioblastoma cell lines inhibited cell proliferation in vitro and in vivo and strongly reduced migration capability. Interestingly, WIF1 expression induced a senescence-like phenotype characterized by the appearance of enlarged, flattened and multinucleated cells positive for the presence of senescence associated ß-galactosidase, a late marker of senescence. It is of note that WIF1 induced senescence, in glioma cell lines, is independent of either p53 or pRB, two pathways that have been widely associated with this process. The analysis of the signaling pathways downstream of WIF1 brought some interesting results. WIF1 expression inhibited the canonical pathway but alteration of this pathway alone couldn't explain all the WIFl-induced effects. Some WIF1-related changes were attributed to inhibition of the non-canonical pathway, as we could prove by downregulation of WNT5a, the main ligand of the non-canonical WNT pathway. For example, a drastic reduction of phosphorylation of both ERK and p38 was detected when either overexpressing WIF1 or downregulating WNT5a. Due to the complexity of the non-canonical pathway is difficult to define the precise mechanism of signal transduction. We have excluded the involvement of the WNT5a-JNK-APl pathway and preliminary results suggest the implication of the WNT-calcium signaling, but further evidence is needed. Moreover, from the analysis of the gene expression profile of WIF1 expressing cells we could select a very interesting candidate: MALATI, a non-coding RNA widely associated with migratory capability in many different types of tumors. We found MALATI to be overexpressed in glioblastoma specimens compared to normal brain and to be associated with total tumor volume. The downregulation of MALATI by RNAi (RNA interference] drastically impairs migration, thus it is a very interesting potential target in the context of invasive tumors such as glioblastoma. Résumé WIFl a été sélectionné en tant que putatif suppresseur de tumeurs dans le cadre des glioblastomes par une analyse qui a était conduit à partir des données d'expression de gènes provenant d'environ 80 glioblastomes. WIF1 code pour une protéine destinée à la sécrétion qui antagonise la voie de WNT et son expression est fortement sous-exprimé dans la plupart des glioblastome par rapport à tissu cérébral normal. Cette sous-expression est due à deux mécanismes différents: à la délétion de la partie génomique codant pour WIF1 et à l'hyper méthylation de son promoteur. La surexpression de WIF1 réduit la capacité de prolifération des cellules de glioblastome in vitro ainsi que in vivo et elle réduit aussi leur capacité migratoire. Il est intéressant de remarquer que l'espression de WIF1 induit un phénotype sénescent caractérisé par l'apparition de cellules aplaties, multi nucléées et positives pour l'activité de l'enzyme ß-galactosidase associée à la sénescence, un marqueur tardif de la sénescence. Il est à noter que le phénotype sénescent qui est induit par WIF1 est indépendant de p53 et pRB, deux voies qui ont été largement associées à ce processus. L'analyse des les voies de signalisation en aval de WIFl a apporté des résultats intéressants. L'expression de WIF1 inhibe la voie canonique de WNT, mais l'altération de cette voie seule ne pouvait pas expliquer tous les effets induits par WIF1. Nous avons pu prouver que certains changements sont liés à l'inhibition de la voie non-canonique qui est activée par WNT5cc. Par exemple, une réduction drastique de la phosphorylation de ERK et p38 à la fois a été détectée lorsque WIFl a été surexprimé ou WNT5a sous- exprimé. En raison de la complexité de la voie non-canonique, il est difficile de définir le mécanisme précis de la transduction du signal. Nous avons exclu l'implication de la voie JNK-WNT5a-APl et les résultats préliminaires suggèrent l'implication de la voie de signalisation appelée WNT-calcium. En plus, l'analyse du profil d'expression génique de cellules sur-exprimant WIF1 nous a permis d'identifier un candidat très intéressant: MALATI, un ARN non- codants largement associés à la capacité migratoire dans nombreux types de tumeurs. Nous avons trouvé que MALATI est surexprimé dans les échantillons de glioblastome par rapport à tissu cérébral normal et il est associé au volume total de la tumeur. La sous-expression de MALATI altère considérablement la migration des cellules tumorales. Donc, MALATI, est une cible potentielle très intéressante dans le cadre d'une tumeur invasive telle que le glioblastome.

Networking the unemployed : Can policy interventions facilitate access to employment through informal channels ?

It is widely known that informal contacts and networks constitute a major advantage when searching for a job. Unemployed people are likely to benefit from such informal contacts, but building and sustaining a network can be particularly difficult when out of employment. Interventions that allow unemployed people to effectively strengthen their networking capability could as a result be promising. Against this background, this article provides some hints in relation to the direction that such interventions could take. First, on the basis of data collected on a sample of 4,600 newly-unemployed people in the Swiss Canton of Vaud, it looks at the factors that influence jobseekers' decisions to turn to informal contacts for their job search. The article shows that many unemployed people are not making use of their network because they are unaware of the importance of this method. Second, it presents an impact analysis of an innovative intervention designed to raise awareness of the importance of networks which is tested in a randomized controlled trial setting.

Non integrative lentiviral vactors for gene transfer in the retina

Purpose:Lentiviral vectors are among the most efficient gene transfer tools for both dividing and non dividing cells, including pigmented epithelial cells of the retina. One of the latest developments in the field, which represents a significant advance in biosafety, consists in the use of non integrative lentiviral vectors (NILVs). These newly described tools were already shown to be efficient in various tissues, such as the retina. They allow prolonged transgene expression as long as the transduced cells do not divide or divide slowly. However, they were also shown to induce transgene expression less efficiently than their integrative counterparts. Further investigations are thus needed to improve their potential. To this aim, different strategies are under evaluation. In this study, we focused on using different integrase mutations. Methods:We considered different integrase mutations, including modifications in the catalytic site and in the C-terminal domain of the enzyme. Lentiviral vectors bearing these mutant integrases and allowing expression of various transgenes were produced and characterized in vitro and in vivo. In particular, we evaluated their transgene expression capability. Influence of integrase mutation on the residual integration activity was also investigated. Results:In line with the fact that the lentiviral integrase is involved in several steps of the replication cycle of lentiviruses, we observed that integrase mutations can modify lentiviral vector features, resulting in different transduction efficiencies as well as modulation of the integration activity. Conclusions:NILVs appear as suitable tools for gene transfer in the retina, particularly to transduce RPE cells. They can be advantageously used, for instance, to develop neuroprotective strategies aimed at rescuing photoreceptors from death in various retinal diseases.

Nanocrystalline SnO2 by liquid pyrolisis

Liquid pyrolysis is presented as a new production method of SnO2 nanocrystalline powders suitable for gas sensor devices. The method is based on a pyrolytic reaction of high tensioned stressed drops of an organic solution of SnCl4·5(H2O). The main advantages of the method are its capability to produce SnO2 nanopowders with high stability, its accurate control over the grain size and other structural characteristics, its high level of repeatability and its low industrialization implementation cost. The characterization of samples of SnO2 nanoparticles obtained by liquid pyrolysis in the range between 200ºC and 900ºC processing temperature is carried out by X-ray diffraction, transmission electron microscopy, Raman and X-ray photoelectron spectroscopy. Results are analyzed and discussed so as to validate the advantages of the liquid pyrolysis method.

Divergent effect of cobalt and beryllium salts on the fate of peripheral blood monocytes and T lymphocytes.

Occupational exposure to metals such as cobalt and beryllium represents a risk factor for respiratory health and can cause immune-mediated diseases. However, the way they act may be different. We show here that the two metals have a divergent effect on peripheral T lymphocytes and monocytes: BeSO(4) induces cell death in monocytes but not in T lymphocytes, which instead respond by producing Interferon gamma (IFN-γ); conversely, CoCl(2) induces apoptosis in T lymphocytes but not in monocytes. Interestingly, both metals induce p53 overexpression but with a dramatic different outcome. This is because the effect of p53 in CoCl(2)-treated monocytes is counteracted by the antiapoptotic activity of cytoplasmic p21(Cip1/WAF1), the activation of nuclear factor κB, and the inflammasome danger signaling pathway leading to the production of proinflammatory cytokines. However, CoCl(2)-treated monocytes do not fully differentiate into macrophage or dendritic cells, as inferred by the lack of expression of CD16 and CD83, respectively. Furthermore, the expression of HLA-class II molecules, as well as the capability of capturing and presenting the antigens, decreased with time. In conclusion, cobalt keeps monocytes in a partially activated, proinflammatory state that can contribute to some of the pathologies associated with the exposure to this metal.

A current-mode interface circuit for a piezoresistive pressure sensor

An interfacing circuit for piezoresistive pressure sensors based on CMOS current conveyors is presented. The main advantages of the proposed interfacing circuit include the use of a single piezoresistor, the capability of offset compensation, and a versatile current-mode configuration, with current output and current or voltage input. Experimental tests confirm linear relation of output voltage versus piezoresistance variation.

BIO-INSPIRED COMPUTATIONAL TECHNIQUES APPLIED TO THE CLUSTERING AND VISUALIZATION OF SPATIO-TEMPORAL GEOSPATIAL DATA

The coverage and volume of geo-referenced datasets are extensive and incessantly¦growing. The systematic capture of geo-referenced information generates large volumes¦of spatio-temporal data to be analyzed. Clustering and visualization play a key¦role in the exploratory data analysis and the extraction of knowledge embedded in¦these data. However, new challenges in visualization and clustering are posed when¦dealing with the special characteristics of this data. For instance, its complex structures,¦large quantity of samples, variables involved in a temporal context, high dimensionality¦and large variability in cluster shapes.¦The central aim of my thesis is to propose new algorithms and methodologies for¦clustering and visualization, in order to assist the knowledge extraction from spatiotemporal¦geo-referenced data, thus improving making decision processes.¦I present two original algorithms, one for clustering: the Fuzzy Growing Hierarchical¦Self-Organizing Networks (FGHSON), and the second for exploratory visual data analysis:¦the Tree-structured Self-organizing Maps Component Planes. In addition, I present¦methodologies that combined with FGHSON and the Tree-structured SOM Component¦Planes allow the integration of space and time seamlessly and simultaneously in¦order to extract knowledge embedded in a temporal context.¦The originality of the FGHSON lies in its capability to reflect the underlying structure¦of a dataset in a hierarchical fuzzy way. A hierarchical fuzzy representation of¦clusters is crucial when data include complex structures with large variability of cluster¦shapes, variances, densities and number of clusters. The most important characteristics¦of the FGHSON include: (1) It does not require an a-priori setup of the number¦of clusters. (2) The algorithm executes several self-organizing processes in parallel.¦Hence, when dealing with large datasets the processes can be distributed reducing the¦computational cost. (3) Only three parameters are necessary to set up the algorithm.¦In the case of the Tree-structured SOM Component Planes, the novelty of this algorithm¦lies in its ability to create a structure that allows the visual exploratory data analysis¦of large high-dimensional datasets. This algorithm creates a hierarchical structure¦of Self-Organizing Map Component Planes, arranging similar variables' projections in¦the same branches of the tree. Hence, similarities on variables' behavior can be easily¦detected (e.g. local correlations, maximal and minimal values and outliers).¦Both FGHSON and the Tree-structured SOM Component Planes were applied in¦several agroecological problems proving to be very efficient in the exploratory analysis¦and clustering of spatio-temporal datasets.¦In this thesis I also tested three soft competitive learning algorithms. Two of them¦well-known non supervised soft competitive algorithms, namely the Self-Organizing¦Maps (SOMs) and the Growing Hierarchical Self-Organizing Maps (GHSOMs); and the¦third was our original contribution, the FGHSON. Although the algorithms presented¦here have been used in several areas, to my knowledge there is not any work applying¦and comparing the performance of those techniques when dealing with spatiotemporal¦geospatial data, as it is presented in this thesis.¦I propose original methodologies to explore spatio-temporal geo-referenced datasets¦through time. Our approach uses time windows to capture temporal similarities and¦variations by using the FGHSON clustering algorithm. The developed methodologies¦are used in two case studies. In the first, the objective was to find similar agroecozones¦through time and in the second one it was to find similar environmental patterns¦shifted in time.¦Several results presented in this thesis have led to new contributions to agroecological¦knowledge, for instance, in sugar cane, and blackberry production.¦Finally, in the framework of this thesis we developed several software tools: (1)¦a Matlab toolbox that implements the FGHSON algorithm, and (2) a program called¦BIS (Bio-inspired Identification of Similar agroecozones) an interactive graphical user¦interface tool which integrates the FGHSON algorithm with Google Earth in order to¦show zones with similar agroecological characteristics.

Viral inhibitor of apoptosis vFLIP/K13 protects endothelial cells against superoxide-induced cell death.

Human herpesvirus 8 (HHV-8) is the etiological agent of Kaposi's sarcoma (KS). HHV-8 encodes an antiapoptotic viral Fas-associated death domain-like interleukin-1beta-converting enzyme-inhibitory protein (vFLIP/K13). The antiapoptotic activity of vFLIP/K13 has been attributed to an inhibition of caspase 8 activation and more recently to its capability to induce the expression of antiapoptotic proteins via activation of NF-kappaB. Our study provides the first proteome-wide analysis of the effect of vFLIP/K13 on cellular-protein expression. Using comparative proteome analysis, we identified manganese superoxide dismutase (MnSOD), a mitochondrial antioxidant and an important antiapoptotic enzyme, as the protein most strongly upregulated by vFLIP/K13 in endothelial cells. MnSOD expression was also upregulated in endothelial cells upon infection with HHV-8. Microarray analysis confirmed that MnSOD is also upregulated at the RNA level, though the differential expression at the RNA level was much lower (5.6-fold) than at the protein level (25.1-fold). The induction of MnSOD expression was dependent on vFLIP/K13-mediated activation of NF-kappaB, occurred in a cell-intrinsic manner, and was correlated with decreased intracellular superoxide accumulation and increased resistance of endothelial cells to superoxide-induced death. The upregulation of MnSOD expression by vFLIP/K13 may support the survival of HHV-8-infected cells in the inflammatory microenvironment in KS.

Reconfigurable beams with arbitrary polarization and shape distributions at a given plane

Methods for generating beams with arbitrary polarization based on the use of liquid crystal displays have recently attracted interest from a wide range of sources. In this paper we present a technique for generating beams with arbitrary polarization and shape distributions at a given plane using a Mach-Zehnder setup. The transverse components of the incident beam are processed independently by means of spatial light modulators placed in each path of the interferometer. The modulators display computer generated holograms designed to dynamically encode any amplitude value and polarization state for each point of the wavefront in a given plane. The steps required to design such beams are described in detail. Several beams performing different polarization and intensity landscapes have been experimentally implemented. The results obtained demonstrate the capability of the proposed technique to tailor the amplitude and polarization of the beam simultaneously.

Design of surface forces apparatus for tribology studies combined with nonlinear optical spectroscopy

We describe the design, calibration, and performance of surface forces apparatus with the capability of illumination of the contact interface for spectroscopic investigation using optical techniques. The apparatus can be placed in the path of a Nd-YAG laser for studies of the linear response or the second harmonic and sum-frequency generation from a material confined between the two surfaces. In addition to the standard fringes of equal chromatic order technique, which we have digitized for accurate and fast analysis, the distance of separation can be measured with a fiber-optic interferometer during spectroscopic measurements (2 Å resolution and 10 ms response time). The sample approach is accomplished through application of a motor drive, piezoelectric actuator, or electromagnetic lever deflection for variable degrees of range, sensitivity, and response time. To demonstrate the operation of the instrument, the stepwise expulsion of discrete layers of octamethylcyclotetrasiloxane from the contact is shown. Lateral forces may also be studied by using piezoelectric bimorphs to induce and direct the motion of one surface.