Adquisició d'imatges en infraroig proper de baixa alçària sobre zones d'interès al Montseny (I)

En aquest informe, fem una primera avaluació d'un sistema basat en un mini-UAV, operat per l'empresa CATUAV (www.catuav.com), sobre una zona a l'est del Parc Natural del Montseny (PNM) tot comparant amb imatges adquirides l'any anterior sobre la mateixa zona, amb sistemes i plataformes aèries de primer nivell per l'Institut Cartogràfic de Catalunya i que utilitzem com a referent de qualitat. Tot assumint que les imatges produïdes pels UAV són d'una qualitat inferior als sistemes convencionals de teledetecció aerotransportada, si la qualitat i operativitat són encara suficients, aquests sistemes, donat el seu cost, poden constituir una eina important per adquirir informació d'alta resolució pel control de l'evolució de camps abandonats, de l'estat de la vegetació de ribera, de l'estat fitosanitari de cobertes forestals i plagues, de la distribució d'espècies invasores, de les conseqüències d'actuacions de restauració o aclariment del bosc, de l'impacte dels visitants etc. En concret, en aquest informe avaluem el sistema de CATUAV pel que fa a: 1) Operativitat del vol i adquisició de les imatges sobre una zona prèviament assenyalada com objectiu; 2) Operativitat del producte en quant a la localització i orientació de les imatges sobre el terreny; i 3) Qualitat radiomètrica i geomètrica de les imatges.

Ammonium accumulation and cell death in a rat 3D brain cell model of glutaric aciduria type I.

Glutaric aciduria type I (glutaryl-CoA dehydrogenase deficiency) is an inborn error of metabolism that usually manifests in infancy by an acute encephalopathic crisis and often results in permanent motor handicap. Biochemical hallmarks of this disease are elevated levels of glutarate and 3-hydroxyglutarate in blood and urine. The neuropathology of this disease is still poorly understood, as low lysine diet and carnitine supplementation do not always prevent brain damage, even in early-treated patients. We used a 3D in vitro model of rat organotypic brain cell cultures in aggregates to mimic glutaric aciduria type I by repeated administration of 1 mM glutarate or 3-hydroxyglutarate at two time points representing different developmental stages. Both metabolites were deleterious for the developing brain cells, with 3-hydroxyglutarate being the most toxic metabolite in our model. Astrocytes were the cells most strongly affected by metabolite exposure. In culture medium, we observed an up to 11-fold increase of ammonium in the culture medium with a concomitant decrease of glutamine. We further observed an increase in lactate and a concomitant decrease in glucose. Exposure to 3-hydroxyglutarate led to a significantly increased cell death rate. Thus, we propose a three step model for brain damage in glutaric aciduria type I: (i) 3-OHGA causes the death of astrocytes, (ii) deficiency of the astrocytic enzyme glutamine synthetase leads to intracerebral ammonium accumulation, and (iii) high ammonium triggers secondary death of other brain cells. These unexpected findings need to be further investigated and verified in vivo. They suggest that intracerebral ammonium accumulation might be an important target for the development of more effective treatment strategies to prevent brain damage in patients with glutaric aciduria type I.

Dynamic simulation of regulatory networks using SQUAD.

BACKGROUND: The ambition of most molecular biologists is the understanding of the intricate network of molecular interactions that control biological systems. As scientists uncover the components and the connectivity of these networks, it becomes possible to study their dynamical behavior as a whole and discover what is the specific role of each of their components. Since the behavior of a network is by no means intuitive, it becomes necessary to use computational models to understand its behavior and to be able to make predictions about it. Unfortunately, most current computational models describe small networks due to the scarcity of kinetic data available. To overcome this problem, we previously published a methodology to convert a signaling network into a dynamical system, even in the total absence of kinetic information. In this paper we present a software implementation of such methodology. RESULTS: We developed SQUAD, a software for the dynamic simulation of signaling networks using the standardized qualitative dynamical systems approach. SQUAD converts the network into a discrete dynamical system, and it uses a binary decision diagram algorithm to identify all the steady states of the system. Then, the software creates a continuous dynamical system and localizes its steady states which are located near the steady states of the discrete system. The software permits to make simulations on the continuous system, allowing for the modification of several parameters. Importantly, SQUAD includes a framework for perturbing networks in a manner similar to what is performed in experimental laboratory protocols, for example by activating receptors or knocking out molecular components. Using this software we have been able to successfully reproduce the behavior of the regulatory network implicated in T-helper cell differentiation. CONCLUSION: The simulation of regulatory networks aims at predicting the behavior of a whole system when subject to stimuli, such as drugs, or determine the role of specific components within the network. The predictions can then be used to interpret and/or drive laboratory experiments. SQUAD provides a user-friendly graphical interface, accessible to both computational and experimental biologists for the fast qualitative simulation of large regulatory networks for which kinetic data is not necessarily available.

Morbiditat postoperatòria en pacients intervinguts d’un adenoma hipofisari: comparació dels tumors no funcionants i dels secretors d’hormona de creixement i corticotropa

La neurocirurgia és el tractament definitiu més utilitzat pels tumors hipofisaris. Objectiu: valorar les complicacions postquirúrgiques immediates(1º mes) i durant el 1º any dels adenomes hipofisaris secretors de GH, ACTH i no funcionants(NF) operats des del 2001. Metodologia: estudi observacional restrospectiu de 94 pacients (39H, 55D) amb edat a la cirurgia de 46,9±15,5 anys, intervinguts pels 2 mateixos neurocirurgians. Resultats: 40 pacients tenen alguna complicació immediata(42,5% dels NF, 37% GH i 48,5% ACTH) sense diferències en la freqüència de complicacions entre els 3 grups. Les complicacions més freqüents són: diabetis insípida transitòria(23,4%), fístula LCR(6,7%), sinusitis i meningitis(2,2%). Els secretors d'ACTH tenen una tendència a tenir més DI transitòria i sinusitis respecte els NF(p=0,071), mentre que els NF tendeixen a presentar més fístules LCR, meningitis i convulsions(p=0,08). En els GH, existeix major incidència de fístules LCR comparat amb els ACTH(p&0,05), sense diferències amb els NF. 10 pacients tenen complicacions al 1º any postquirúrgic(7,5% dels NF, 11,1% GH i 14,8% ACTH), destacant major incidència d'artromiàlgies i síndrome del túnel carpià en els ACTH comparat amb els altres 2 grups (p&0,05). Les variables més importants quan fem una predicció d'aparició de complicacions són: tipus de cirurgia utilitzada (més a craniotomies que als abordatges transesfenoidals) i presència d'extensió extraselar tumoral, sense ser significatiu(p=0,091). Conclusions: malgrat que els tumors d'ACTH són majoritàriament microdenomes(77,7%), i es presenten en pacients més joves, tendeixen a associar-se a major nombre de complicacions immediates i durant el primer any en comparació amb els NF i GH(97,5%, 81,4% macroadenomes respectivament).

GSK-3 como posible diana terapéutica en la Enfermedad de Alzheimer: Un nuevo inhibidor de GSK-3 aumenta la densidad y rescata la pérdida de espinas dendríticas causada por Aβ en neuronas corticales primarias.

Un nou inhibidor del glicogen-sintetasa-cinasa-3 (GSK-3) tipus tiadiazolidona (TDZD) va demostrar recentment incrementar la supervivència neuronal i prevenir el dèficit de memòria en un ratolí doble-transgènic (APP-tau). Aquest benefici podria produirse per la prevenció de pèrdua d'espines dendrítiques associada a l'exposició a formes solubles oligomèrics del péptidoβ amiloide (Aβo). Estudiem l'efecte de Aβo i TDZD-8 en la densitat d'espines dendrítiques en neurones primàries corticals de ratolí. Trobem que TDZD-8 rescata la pèrdua d'espines dendrítiques mediada per l'exposició a Aβo. Aportem una evidència més de que GSK-3 podria ser una diana d'interès en el tractament de la EA.

The InterPro Database, 2003 brings increased coverage and new features.

InterPro, an integrated documentation resource of protein families, domains and functional sites, was created in 1999 as a means of amalgamating the major protein signature databases into one comprehensive resource. PROSITE, Pfam, PRINTS, ProDom, SMART and TIGRFAMs have been manually integrated and curated and are available in InterPro for text- and sequence-based searching. The results are provided in a single format that rationalises the results that would be obtained by searching the member databases individually. The latest release of InterPro contains 5629 entries describing 4280 families, 1239 domains, 95 repeats and 15 post-translational modifications. Currently, the combined signatures in InterPro cover more than 74% of all proteins in SWISS-PROT and TrEMBL, an increase of nearly 15% since the inception of InterPro. New features of the database include improved searching capabilities and enhanced graphical user interfaces for visualisation of the data. The database is available via a webserver (http://www.ebi.ac.uk/interpro) and anonymous FTP (ftp://ftp.ebi.ac.uk/pub/databases/interpro).

Extent of hypoattenuation on CT angiography source images in basilar artery occlusion: prognostic value in the Basilar Artery International Cooperation Study.

BACKGROUND AND PURPOSE: The posterior circulation Acute Stroke Prognosis Early CT Score (pc-ASPECTS) quantifies the extent of early ischemic changes in the posterior circulation with a 10-point grading system. We hypothesized that pc-ASPECTS applied to CT angiography source images predicts functional outcome of patients in the Basilar Artery International Cooperation Study (BASICS). METHODS: BASICS was a prospective, observational registry of consecutive patients with acute symptomatic basilar artery occlusion. Functional outcome was assessed at 1 month. We applied pc-ASPECTS to CT angiography source images of patients with CT angiography for confirmation of basilar artery occlusion. We calculated unadjusted and adjusted risk ratios (RRs) of pc-ASPECTS dichotomized at ≥8 versus <8. Primary outcome measure was favorable outcome (modified Rankin Scale scores 0-3). Secondary outcome measures were mortality and functional independence (modified Rankin Scale scores 0-2). RESULTS: Of 158 patients included, 78 patients had a CT angiography source images pc-ASPECTS≥8. Patients with a pc-ASPECTS≥8 more often had a favorable outcome than patients with a pc-ASPECTS<8 (crude RR, 1.7; 95% CI, 0.98-3.0). After adjustment for age, baseline National Institutes of Health Stroke Scale score, and thrombolysis, pc-ASPECTS≥8 was not related to favorable outcome (RR, 1.3; 95% CI, 0.8-2.2), but it was related to reduced mortality (RR, 0.7; 95% CI, 0.5-0.98) and functional independence (RR, 2.0; 95% CI, 1.1-3.8). In post hoc analysis, pc-ASPECTS dichotomized at ≥6 versus <6 predicted a favorable outcome (adjusted RR, 3.1; 95% CI, 1.2-7.5). CONCLUSIONS: pc-ASPECTS on CT angiography source images independently predicted death and functional independence at 1 month in the CT angiography subgroup of patients in the BASICS registry.

Prevenda

Aquest projecte es base en una aplicació de prevenda per terminals amb Sistema Operatiu Windows CE 4.3 i plataforma Pocket PC 2003. L'aplicació permetrà al terminal conectar-se amb un ordenador central (PC) per tal de descarregar la informació dels clients, artícles, rutes, etc. Una vegada s'hagi rebut la informació, el comercial podrà anar visitant els diferents clients seguint una ruta i introduint les comandes. En qualsevol moment del dia el comercial podrà enviar les comandes a la central mitjançant una conecció remota o bé mitjançant una comunicació directa.

Desenvolupament d'aplicació de consulta de cases rurals per Android

Aquest projecte final de carrera pretén realitzar el desenvolupament d'una aplicació per al sistema Android, programada amb el llenguatge Java, que consulta una base de dades de cases rurals i aprofita les característiques i funcionalitats dels dispositius mòbils actuals com el posicionament geogràfic per GPS o la connexió a Internet.

Refinement criteria for global illumination using convex funcions

In several computer graphics areas, a refinement criterion is often needed to decide whether to goon or to stop sampling a signal. When the sampled values are homogeneous enough, we assume thatthey represent the signal fairly well and we do not need further refinement, otherwise more samples arerequired, possibly with adaptive subdivision of the domain. For this purpose, a criterion which is verysensitive to variability is necessary. In this paper, we present a family of discrimination measures, thef-divergences, meeting this requirement. These convex functions have been well studied and successfullyapplied to image processing and several areas of engineering. Two applications to global illuminationare shown: oracles for hierarchical radiosity and criteria for adaptive refinement in ray-tracing. Weobtain significantly better results than with classic criteria, showing that f-divergences are worth furtherinvestigation in computer graphics. Also a discrimination measure based on entropy of the samples forrefinement in ray-tracing is introduced. The recursive decomposition of entropy provides us with a naturalmethod to deal with the adaptive subdivision of the sampling region

Entorn de treball per a visualitzar escenes tridimensionals

Creació d'un entorn de treball per tal de visualitzar models tridimensionals en temps real amb dos objectius: proporcionar una interfície gràfica per poder visualitzar interactivament una escena, modificant-ne els seus elements i aconseguir un disseny que faci el projecte altament revisable i reutilitzable en elfutur, i serveixi per tant de plataforma per provar altres projectes

Effective diagnosis of Alzheimer's disease by means of large margin-based methodology.

BACKGROUND Functional brain images such as Single-Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET) have been widely used to guide the clinicians in the Alzheimer's Disease (AD) diagnosis. However, the subjectivity involved in their evaluation has favoured the development of Computer Aided Diagnosis (CAD) Systems. METHODS It is proposed a novel combination of feature extraction techniques to improve the diagnosis of AD. Firstly, Regions of Interest (ROIs) are selected by means of a t-test carried out on 3D Normalised Mean Square Error (NMSE) features restricted to be located within a predefined brain activation mask. In order to address the small sample-size problem, the dimension of the feature space was further reduced by: Large Margin Nearest Neighbours using a rectangular matrix (LMNN-RECT), Principal Component Analysis (PCA) or Partial Least Squares (PLS) (the two latter also analysed with a LMNN transformation). Regarding the classifiers, kernel Support Vector Machines (SVMs) and LMNN using Euclidean, Mahalanobis and Energy-based metrics were compared. RESULTS Several experiments were conducted in order to evaluate the proposed LMNN-based feature extraction algorithms and its benefits as: i) linear transformation of the PLS or PCA reduced data, ii) feature reduction technique, and iii) classifier (with Euclidean, Mahalanobis or Energy-based methodology). The system was evaluated by means of k-fold cross-validation yielding accuracy, sensitivity and specificity values of 92.78%, 91.07% and 95.12% (for SPECT) and 90.67%, 88% and 93.33% (for PET), respectively, when a NMSE-PLS-LMNN feature extraction method was used in combination with a SVM classifier, thus outperforming recently reported baseline methods. CONCLUSIONS All the proposed methods turned out to be a valid solution for the presented problem. One of the advances is the robustness of the LMNN algorithm that not only provides higher separation rate between the classes but it also makes (in combination with NMSE and PLS) this rate variation more stable. In addition, their generalization ability is another advance since several experiments were performed on two image modalities (SPECT and PET).

Computer-assisted cup placement techniques in total hip arthroplasty improve accuracy of placement.

Malposition of the acetabular component during hip arthroplasty increases the occurrence of impingement, reduces range of motion, and increases the risk of dislocation and long-term wear. To prevent malpositioned hip implants, an increasing number of computer-assisted orthopaedic systems have been described, but their accuracy is not well established. The purpose of this study was to determine the reproducibility and accuracy of conventional versus computer-assisted techniques for positioning the acetabular component in total hip arthroplasty. Using a lateral approach, 150 cups were placed by 10 surgeons in 10 identical plastic pelvis models (freehand, with a mechanical guide, using computer assistance). Conditions for cup implantations were made to mimic the operating room situation. Preoperative planning was done from a computed tomography scan. The accuracy of cup abduction and anteversion was assessed with an electromagnetic system. Freehand placement revealed a mean accuracy of cup anteversion and abduction of 10 degrees and 3.5 degrees, respectively (maximum error, 35 degrees). With the cup positioner, these angles measured 8 degrees and 4 degrees (maximum error, 29.8 degrees), respectively, and using computer assistance, 1.5 degrees and 2.5 degrees degrees (maximum error, 8 degrees), respectively. Computer-assisted cup placement was an accurate and reproducible technique for total hip arthroplasty. It was more accurate than traditional methods of cup positioning.

3D Automated Lung Nodule Segmentation in HRCT

A fully-automated 3D image analysis method is proposed to segment lung nodules in HRCT. A specific gray-level mathematical morphology operator, the SMDC-connection cost, acting in the 3D space of the thorax volume is defined in order to discriminate lung nodules from other dense (vascular) structures. Applied to clinical data concerning patients with pulmonary carcinoma, the proposed method detects isolated, juxtavascular and peripheral nodules with sizes ranging from 2 to 20 mm diameter. The segmentation accuracy was objectively evaluated on real and simulated nodules. The method showed a sensitivity and a specificity ranging from 85% to 97% and from 90% to 98%, respectively.

Use of Hy's law and a new composite algorithm to predict acute liver failure in patients with drug-induced liver injury.

BACKGROUND & AIMS Hy's Law, which states that hepatocellular drug-induced liver injury (DILI) with jaundice indicates a serious reaction, is used widely to determine risk for acute liver failure (ALF). We aimed to optimize the definition of Hy's Law and to develop a model for predicting ALF in patients with DILI. METHODS We collected data from 771 patients with DILI (805 episodes) from the Spanish DILI registry, from April 1994 through August 2012. We analyzed data collected at DILI recognition and at the time of peak levels of alanine aminotransferase (ALT) and total bilirubin (TBL). RESULTS Of the 771 patients with DILI, 32 developed ALF. Hepatocellular injury, female sex, high levels of TBL, and a high ratio of aspartate aminotransferase (AST):ALT were independent risk factors for ALF. We compared 3 ways to use Hy's Law to predict which patients would develop ALF; all included TBL greater than 2-fold the upper limit of normal (×ULN) and either ALT level greater than 3 × ULN, a ratio (R) value (ALT × ULN/alkaline phosphatase × ULN) of 5 or greater, or a new ratio (nR) value (ALT or AST, whichever produced the highest ×ULN/ alkaline phosphatase × ULN value) of 5 or greater. At recognition of DILI, the R- and nR-based models identified patients who developed ALF with 67% and 63% specificity, respectively, whereas use of only ALT level identified them with 44% specificity. However, the level of ALT and the nR model each identified patients who developed ALF with 90% sensitivity, whereas the R criteria identified them with 83% sensitivity. An equal number of patients who did and did not develop ALF had alkaline phosphatase levels greater than 2 × ULN. An algorithm based on AST level greater than 17.3 × ULN, TBL greater than 6.6 × ULN, and AST:ALT greater than 1.5 identified patients who developed ALF with 82% specificity and 80% sensitivity. CONCLUSIONS When applied at DILI recognition, the nR criteria for Hy's Law provides the best balance of sensitivity and specificity whereas our new composite algorithm provides additional specificity in predicting the ultimate development of ALF.