HidroSIG: un sistema de información geográfica para la gestión de recursos naturales y modelación del medio ambiente

This paper describes HidroGIS, a GIS platform developed by Water Resources Program at Universidad Nacional de Colombia at Medellín. HidroSIG is a tool for hydrological variables visualization and analysis, using a set of modules that make this software a powerful tool for hydrological modeling. HidroSIG has tools for digital terrain models processing, water supply estimation using long term water balance in watersheds, a rainfall-runoff model, a model for landslide susceptibility estimation, an one-dimensional pollutant transport model, tools for homogeneity analysis in time series and tools for satellite images classification. The tools in development status are also described

A new approach to segmentation based on fusing circumscribed contours, region growing and clustering

One of the major problems in machine vision is the segmentation of images of natural scenes. This paper presents a new proposal for the image segmentation problem which has been based on the integration of edge and region information. The main contours of the scene are detected and used to guide the posterior region growing process. The algorithm places a number of seeds at both sides of a contour allowing stating a set of concurrent growing processes. A previous analysis of the seeds permits to adjust the homogeneity criterion to the regions's characteristics. A new homogeneity criterion based on clustering analysis and convex hull construction is proposed

DAI-DEPUR: an integrated and distributed architecture for wastewater treatment plants supervision

The activated sludge process - the main biological technology usually applied to wastewater treatment plants (WWTP) - directly depends on live beings (microorganisms), and therefore on unforeseen changes produced by them. It could be possible to get a good plant operation if the supervisory control system is able to react to the changes and deviations in the system and can take the necessary actions to restore the system’s performance. These decisions are often based both on physical, chemical, microbiological principles (suitable to be modelled by conventional control algorithms) and on some knowledge (suitable to be modelled by knowledge-based systems). But one of the key problems in knowledge-based control systems design is the development of an architecture able to manage efficiently the different elements of the process (integrated architecture), to learn from previous cases (spec@c experimental knowledge) and to acquire the domain knowledge (general expert knowledge). These problems increase when the process belongs to an ill-structured domain and is composed of several complex operational units. Therefore, an integrated and distributed AI architecture seems to be a good choice. This paper proposes an integrated and distributed supervisory multi-level architecture for the supervision of WWTP, that overcomes some of the main troubles of classical control techniques and those of knowledge-based systems applied to real world systems

Estudi de l'acció de diferents bloquejadors de la via ErbB en la teràpia antitumoral

L'inhibidor de carboxipeptidasa de patata (PCI) és un antagonista de l'EGF. Un dels problemes del PCI, però, és la baixa afinitat per l'EGFR en comparació amb el lligand natural. En aquest treball s'han dissenyat nous bloquejadors de la via ErbB partint de l'estructura de l'EGF per tal d'augmentar l'afinitat d'unió. S'ha determinat que les variants tenen reduïda la capacitat d'activació del receptor però segueixen promovent la proliferació cel·lular. Tot i així, s'ha obtingut una variant, l'EGF Truncat, que tot i no estar correctament plegada, és la que ofereix uns millors. També s'ha dut a terme un tractament combinat entre el PCI i un inhibidor de tirosin quinases d'aquesta mateixa via, l'Iressa. Els resultats han posat de manifest que hi ha un antagonisme entre els dos tractaments. Aquesta és la primera vegada que s'associa de forma directa un tipus de tractament amb una resistència associada a l'activació de la producció autocrina de lligands, i representa un avenç molt important en la recerca oncològica.

Atmospheric downwelling longwave radiation at the surface during cloudless and overcast conditions. Measurements and modeling

Atmospheric downwelling longwave radiation is an important component of the terrestrial energy budget; since it is strongly related with the greenhouse effect, it remarkably affects the climate. In this study, I evaluate the estimation of the downwelling longwave irradiance at the terrestrial surface for cloudless and overcast conditions using a one-dimensional radiative transfer model (RTM), specifically the Santa Barbara DISORT Atmospheric Radiative Transfer (SBDART). The calculations performed by using this model were compared with pyrgeometer measurements at three different European places: Girona (NE of the Iberian Peninsula), Payerne (in the East of Switzerland), and Heselbach (in the Black Forest, Germany). Several studies of sensitivity based on the radiative transfer model have shown that special attention on the input of temperature and water content profiles must be held for cloudless sky conditions; for overcast conditions, similar sensitivity studies have shown that, besides the atmospheric profiles, the cloud base height is very relevant, at least for optically thick clouds. Also, the estimation of DLR in places where radiosoundings are not available is explored, either by using the atmospheric profiles spatially interpolated from the gridded analysis data provided by European Centre of Medium-Range Weather Forecast (ECMWF), or by applying a real radiosounding of a nearby site. Calculations have been compared with measurements at all sites. During cloudless sky conditions, when radiosoundings were available, calculations show differences with measurements of -2.7 ± 3.4 Wm-2 (Payerne). While no in situ radiosoundings are available, differences between modeling and measurements were about 0.3 ± 9.4 Wm-2 (Girona). During overcast sky conditions, when in situ radiosoundings and cloud properties (derived from an algorithm that uses spectral infrared and microwave ground based measurements) were available (Black Forest), calculations show differences with measurements of -0.28 ± 2.52 Wm2. When using atmospheric profiles from the ECMWF and fixed values of liquid water path and droplet effective radius (Girona) calculations show differences with measurements of 4.0 ± 2.5 Wm2. For all analyzed sky conditions, it has been confirmed that estimations from radiative transfer modeling are remarkably better than those obtained by simple parameterizations of atmospheric emissivity.

Incidència de microorganismes i de compostos orgànics volàtils en l'aparició de defectes sensorials en suro

La incidència sobre el suro de defectes sensorials amb descriptors de florit-humitat és un dels principals problemes amb què s'enfronta la indústria surera. Els principals compostos relacionats amb aquest defecte son cloroanisoles, metoxipirazines, geosmina i metilisoborneol. Aquesta recerca s'ha fet amb l'objectiu principal d'aprofundir en els mètodes de determinació de compostos volàtils en suro. S'ha desenvolupat una metodologia basada en la microextracció en fase sòlida i la cromatografia de gasos per a l'anàlisi conjunta d'aquests compostos en macerats de suro. El fet que la majoria dels compostos d'interès tingui un origen microbià ha fet necessari completar les anàlisis químiques amb mètodes de detecció i aïllament dels microorganismes susceptibles de produir-los. S'ha utilitzat un mètode per a l'estudi de la diversitat de fongs i bacteris en mostres de suro basat en l'estudi de marcadors genètics mitjançant l'anàlisi en gradients electroforètics desnaturalitzants. Per últim s'ha avaluat la capacitat de producció de defectes sensorials per microorganismes aïllats de suro utilitzant tècniques olfactomètriques.