Uncertainty Quantification Of A Semi-Supervised Support Vector Regression Reservoir Model

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. Recent advances in machine learning offer a novel approach to model spatial distribution of petrophysical properties in complex reservoirs alternative to geostatistics. The approach is based of semisupervised learning, which handles both ?labelled? observed data and ?unlabelled? data, which have no measured value but describe prior knowledge and other relevant data in forms of manifolds in the input space where the modelled property is continuous. Proposed semi-supervised Support Vector Regression (SVR) model has demonstrated its capability to represent realistic geological features and describe stochastic variability and non-uniqueness of spatial properties. On the other hand, it is able to capture and preserve key spatial dependencies such as connectivity of high permeability geo-bodies, which is often difficult in contemporary petroleum reservoir studies. Semi-supervised SVR as a data driven algorithm is designed to integrate various kind of conditioning information and learn dependences from it. The semi-supervised SVR model is able to balance signal/noise levels and control the prior belief in available data. In this work, stochastic semi-supervised SVR geomodel is integrated into Bayesian framework to quantify uncertainty of reservoir production with multiple models fitted to past dynamic observations (production history). Multiple history matched models are obtained using stochastic sampling and/or MCMC-based inference algorithms, which evaluate posterior probability distribution. Uncertainty of the model is described by posterior probability of the model parameters that represent key geological properties: spatial correlation size, continuity strength, smoothness/variability of spatial property distribution. The developed approach is illustrated with a fluvial reservoir case. The resulting probabilistic production forecasts are described by uncertainty envelopes. The paper compares the performance of the models with different combinations of unknown parameters and discusses sensitivity issues.

Pyochelin-mediated signalling in Pseudomonas aeruginosa

SUMMARY: Iron is an essential element for nearly all organisms but it is poorly available in most environments and not sufficient to support microbial growth. Bacteria have evolved a range of strategies to acquire this important metal, the most common of these being siderophore-mediated iron uptake. Siderophores are high-affinity iron chelators which are released to the extracellular environment where they complex iron and deliver it to the bacterial cell, via specific uptake systems. The Gram-negative bacterium Pseudomonas aeruginosa produces two siderophores, pyoverdine and pyochelin, which both contribute to the virulence of this opportunistic human pathogen. The genes responsible for pyochelin-mediated iron uptake are grouped in the P. aeruginosa chromosome. The pyochelin biosynthetic genes are organized in two divergent operons, pchDCBA and pchEFGHI, which flank the regulatory gene pchR. The fptA gene, encoding the ferric pyochelin outer membrane receptor, occurs immediately downstream of the pchEFGHI genes. The biosynthesis of the siderophore and its receptor is subjected to dual regulation enabling P. aeruginosa to respond not only to the intracellular iron level but also to the presence of the siderophore in the extracellular environment. Negative regulation is mediated by the widespread Fur protein which employs ferrous iron as a corepressor and binds to a consensus sequence in the promoter region of iron-regulated genes. Positive regulation occurs during iron starvation and requires the AraC-type transcriptional regulator PchR. This regulator, together with pyochelin, induces the expression of pyochelin biosynthesis and uptake genes via a mechanism which was partly unraveled during this thesis. A 32-bp conserved sequence element (PchR-box) was identified in promoter regions of pyochelin-controlled genes. The PchR-box in the pchR-pchDCBA intergenic region was found to be essential for the induction of the pchDCBA operon and for the repression of the divergently transcribed pchR gene. PchR was purified as a fusion with maltose-binding protein (MBP). Mobility shift assays demonstrated specific binding of MBP-PchR to the PchR-box in the presence, but not in the absence of pyochelin. PchR-box mutations which interfered with pyochelin-dependent regulation in vivo, also affected pyochelin-dependent PchR-box recognition in vitro. These results show that pyochelin is the intracellular effector required for PchR-mediated regulation. The fact that extracellular pyochelin triggers this regulation implies that the siderophore can enter the cytoplasm. This conclusion was corroborated by analysing the importance of known and putative pyochelin uptake genes for pyochelin-dependent gene regulation. The pyochelin receptor gene fptA is followed by three genes, fptB, fptC, and fptX, which were shown here to be co-transcribed with fPtA. While fPtX encodes an inner membrane pen-I-lease, the functions of FptB and FptC are currently unknown. FptA and FptX, which are both required for pyochelin-mediated iron uptake, were found to be also needed for pyochelin-dependent gene regulation. FptB and FptC however, were not required and their role, if any, in the uptake of the PchR effector pyochelin remains elusive. RESUME Le fer est un élément essentiel pour la quasi-totalité des organismes, mais dans la plupart des environnements, il est difficilement accessible et insuffisant à la croissance microbienne. Les bactéries ont développé de multiples stratégies pour acquérir ce précieux métal, la plus commune étant l'acquisition au moyen de sidérophores. Les sidérophores sont des petites molécules dotées d'une forte affinité pour le fer qui, une fois relâchées dans l'environnement extracellulaire, vont complexer le fer et le délivrer à la cellule bactérienne par l'intermédiaire de systèmes d'acquisition spécifiques. La bactérie Gram-négative Pseudomonas aeruginosa produit deux sidérophores, la pyoverdine et la pyochéline, qui contribuent également à la virulence de ce pathogène opportuniste. Les gènes impliqués dans l'acquisition du fer à l'aide de la pyochéline sont regroupés sur t. le chromosome de P. aeruginosa. Les gènes de biosynthèse de la pyochéline sont organisés en deux opérons divergents, pchDCBA et pchEFGHI, qui flanquent le gène régulateur pchR. Le gène fptA, codant pour le récepteur de la pyochéline dans la membrane externe, est situé immédiatement en aval des gènes pchEFGHL La biosynthèse du sidérophore et de son récepteur est soumise à une double régulation permettant à P. aeruginosa de réagir non seulement à la quantité de fer intracellulaire, mais également à la présence du sidérophore dans le milieu extracellulaire. La répression se fait par l'intermédiaire de la protéine Fur, qui nécessite le fer ferreux comme co-répresseur et se lie à une séquence consensus dans la région promotrice des gènes régulés par le fer. L'induction se produit lorsque le fer est limitant, et requiert PchR, un régulateur transcriptionnel de la famille AraC. En présence de pyochéline, ce régulateur induit l'expression des gènes de biosynthèse et du récepteur de la pyochéline par l'intermédiaire d'un mécanisme partiellement résolu dans ce travail. Une séquence conservée (PchR-box) a été identifiée dans la région promotrice des gènes régulés par la pyochéline. La PchR-box située dans la région intergénique pchR-pchDCBA s'est révélée être importante pour l'induction de l'opéron pchDCBA et la répression du gène divergent pchR. PchR a été purifiée en tant que protéine de fusion avec une protéine liant le maltose (MBP). Des expériences de gel retard ont démontré la liaison spécifique de la protéine MBP-PchR sur la PchR-box en présence, mais non en absence de pyochéline. Les mutations de la PchR-box qui ont affecté la régulation pyochéline-dépendante in vivo, ont également eu un effet sur la liaison de la protéine in vitro. Ces résultats démontrent que la pyochéline est l'effecteur intracellulaire nécessaire à la régulation par PchR. Le fait que la pyochéline extracellulaire soit capable d'activer cette régulation implique que le sidérophore entre dans le cytoplasme. Cette conclusion a été corroborée par l'évaluation du rôle des gènes connus ou putatifs de l'incorporation du fer via la pyochéline sur la régulation pyochéline-dépendente. Le gène fPtA, codant pour le récepteur de la pyochéline, est suivi de trois gènes, fptB,fptC, et fptX, co-transcrits avec,ffitA. Si sffitX code pour une perméase de la membrane interne, la fonction de FptB et FptC reste obscure. FptA et FptX, nécessaires à l'acquisition du fer par l'intermédiaire de la pyochéline, se sont également révélés être requis pour la régulation pyochéline-dépendante des gènes pchDCBA, pchEFGHI et fptABCX. FptB et FptC n'ont quant à eux vraisemblablement pas de rôle majeur à jouer, si ce n'est aucun, dans l'incorporation de la pyochéline.

Desenvolupament d'algorismes biològicament inspirats basats en Support Vector Machines

L'objectiu d'aquest projecte ha estat el desenvolupament d'algorismes biològicament inspirats per a l'olfacció artificial. Per a assolir-lo ens hem basat en el paradigma de les màquines amb suport vectorial. Hem construit algoritmes que imitaven els processos computacionals dels diferents sistemes que formen el sistema olfactiu dels insectes, especialment de la llagosta Schistocerca gregaria. Ens hem centrat en el lòbuls de les antenes, i en el cos fungiforme. El primer està considerat un dispositiu de codificació de les olors, que a partir de la resposta temporal dels receptors olfactius a les antenes genera un patró d'activació espaial i temporal. Quant al cos fungiforme es considera que la seva funció és la d'una memòria per als olors, així com un centre per a la integració multi-sensorial. El primer pas ha estat la construcció de models detallats dels dos sistemes. A continuació, hem utilitzat aquests models per a processar diferents tipus de senyals amb l'objectiu de abstraure els principis computacionals subjacents. Finalment, hem avaluat les capacitats d'aquests models abstractes, i els hem utilitzat per al processat de dades provinents de sensors de gasos. Els resultats mostren que el models abstractes tenen millor comportament front el soroll i més capacitat d'emmagatzematge de records que altres models més clàssics, com ara les memòries associatives de Hopfield o fins i tot en determinades circumstàncies que les mateixes Support Vector Machines.

The EPAGE internet guideline as a decision support tool for determining the appropriateness of colonoscopy

RÉSUMÉ Contexte : Peu d'études ont examiné la façon dont les médecins appréhendent les guidelines, et encore moins celle dont ils perçoivent de tels guidelines disponibles sur Internet. Cette étude évalue l'acceptation par les médecins d'un guideline électronique portant sur l'adéquation de la colonoscopie. Méthode : Des gastroentérologues participant à une étude observationnelle internationale ont consulté un guideline électronique pour une série consécutive de patients adressés pour une colonoscopie. Le guideline a été élaboré par le Panel Européen sur l'Adéquation de l'Endoscopie Gastro-intestinale (EPAGE en version anglaise), utilisant une méthode validée (RAND). Les opinions des médecins sur le guideline, sur le site Internet et sur les perspectives d'utilisation ont été recueillies au moyen de questionnaires. Résultats : 289 patients ont été inclus dans l'étude. Le temps moyen pour consulter le site Internet a été de 1.8 min et 86% des médecins l'ont considéré comme simple à utiliser. Les recommandations ont été facilement localisées pour 82% des patients et les médecins étaient d'accord avec l'adéquation de la colonoscopie dans 86% des cas. Selon les critères EPAGE, la colonoscopie était appropriée, incertaine et inappropriée, respectivement chez 59, 28 et 13% des patients. Conclusions : Le guideline EPAGE a été considéré comme acceptable et simple à utiliser. L'utilisation, l'utilité et la pertinence du site Internet a été jugée comme acceptable. Son utilisation effective dépendra cependant de la levée de certains obstacles au niveau organisationnel et culturel.

Statistical discrimination of steroid profiles in doping control with support vector machines.

Due to their performance enhancing properties, use of anabolic steroids (e.g. testosterone, nandrolone, etc.) is banned in elite sports. Therefore, doping control laboratories accredited by the World Anti-Doping Agency (WADA) screen among others for these prohibited substances in urine. It is particularly challenging to detect misuse with naturally occurring anabolic steroids such as testosterone (T), which is a popular ergogenic agent in sports and society. To screen for misuse with these compounds, drug testing laboratories monitor the urinary concentrations of endogenous steroid metabolites and their ratios, which constitute the steroid profile and compare them with reference ranges to detect unnaturally high values. However, the interpretation of the steroid profile is difficult due to large inter-individual variances, various confounding factors and different endogenous steroids marketed that influence the steroid profile in various ways. A support vector machine (SVM) algorithm was developed to statistically evaluate urinary steroid profiles composed of an extended range of steroid profile metabolites. This model makes the interpretation of the analytical data in the quest for deviating steroid profiles feasible and shows its versatility towards different kinds of misused endogenous steroids. The SVM model outperforms the current biomarkers with respect to detection sensitivity and accuracy, particularly when it is coupled to individual data as stored in the Athlete Biological Passport.

Infornut® Process; improves accessibility to diagnosis and nutritional support for the malnourished hospitalized patient; impact on management indicators; two-year assessment.

Introduction: The high prevalence of disease-related hospital malnutrition justifies the need for screening tools and early detection in patients at risk for malnutrition, followed by an assessment targeted towards diagnosis and treatment. At the same time there is clear undercoding of malnutrition diagnoses and the procedures to correct it Objectives: To describe the INFORNUT program/ process and its development as an information system. To quantify performance in its different phases. To cite other tools used as a coding source. To calculate the coding rates for malnutrition diagnoses and related procedures. To show the relationship to Mean Stay, Mortality Rate and Urgent Readmission; as well as to quantify its impact on the hospital Complexity Index and its effect on the justification of Hospitalization Costs. Material and methods: The INFORNUT® process is based on an automated screening program of systematic detection and early identification of malnourished patients on hospital admission, as well as their assessment, diagnoses, documentation and reporting. Of total readmissions with stays longer than three days incurred in 2008 and 2010, we recorded patients who underwent analytical screening with an alert for a medium or high risk of malnutrition, as well as the subgroup of patients in whom we were able to administer the complete INFORNUT® process, generating a report for each.

Soins palliatifs et soins de support: à la frontière de la toute-puissance médicale [Palliative and supportive care: at the frontiers of medical omnipotence].

Cancer patients have physical, social, spiritual and emotional needs. They may suffer from severe physical symptoms, from social isolation, spiritual abandonment, and emotions such as sadness and anxiety, or feelings of deception, helplessness, anger and guilt. In some of them, the disease is rapidly progressing and ultimately they die. Their demanding care evokes intense feelings in health care providers, the more since these incurable patients represent a challenge, which could be condensed under the heading "the challenge of medical omnipotence". We suppose that the way health care providers cope with these circumstances has a profound influence on the way these patients are cared for. The attitudes towards the emerging heterogeneous movement of palliative and supportive care and towards its different models of implementation can be viewed from this point of view. We try to demonstrate these interrelations and to discuss the danger that may arise if they remain obscure and unreflected.

A Clinical Decision Support using a Terminology Server to improve Patient Safety.

Clinical Decision Support Systems (CDSS) are software applications that support clinicians in making healthcare decisions providing relevant information for individual patients about their specific conditions. The lack of integration between CDSS and Electronic Health Record (EHR) has been identified as a significant barrier to CDSS development and adoption. Andalusia Healthcare Public System (AHPS) provides an interoperable health information infrastructure based on a Service Oriented Architecture (SOA) that eases CDSS implementation. This paper details the deployment of a CDSS jointly with the deployment of a Terminology Server (TS) within the AHPS infrastructure. It also explains a case study about the application of decision support to thromboembolism patients and its potential impact on improving patient safety. We will apply the inSPECt tool proposal to evaluate the appropriateness of alerts in this scenario.

Decision Support Methods for Global Optomization

Immobile location-allocation (LA) problems is a type of LA problem that consists in determining the service each facility should offer in order to optimize some criterion (like the global demand), given the positions of the facilities and the customers. Due to the complexity of the problem, i.e. it is a combinatorial problem (where is the number of possible services and the number of facilities) with a non-convex search space with several sub-optimums, traditional methods cannot be applied directly to optimize this problem. Thus we proposed the use of clustering analysis to convert the initial problem into several smaller sub-problems. By this way, we presented and analyzed the suitability of some clustering methods to partition the commented LA problem. Then we explored the use of some metaheuristic techniques such as genetic algorithms, simulated annealing or cuckoo search in order to solve the sub-problems after the clustering analysis

Estudi del comportament de materials nanoestructurats en el tractament d'aigües contaminades amb arsènic

El SPION (Super Paramagnetic Iron Oxide Nanoparticles) ha estat estudiat com un nou adsorbent per eliminar l’arsènic d’aigües contaminades. Les condicions òptimes de treball es van assolir per un pH de 3,6 i per concentracions inferiors als 100ppm. No es van trobar interferències significatives produïdes pels cations Cu, Ni i Zn en l’adsorció de l’As, sent el fosfat l’anió que més interfereix. Una esponja de cel·lulosa s’ha utilitzat com a suport del SPION, per disminuir les agregacions de les nanopartícules en suspensió i per proporcionar una material adequat per l’adsorció en continu, experiment amb columnes. Així, es va obtenir un augment de la capacitat d’adsorció del SPION per l’As(V), mentre que per l’As(III) continua sent baixa, per tant s’augmenta la selectivitat per l’As(V). Les interferències aniòniques afecten d’igual manera a l’adsorció de l’As(III) i l’As(V) quan l’adsorció és en continu o en discontinu. Els cations metàl·lics no interfereixen en l’adsorció de l’arsènic, a excepció del coure que és adsorbit i porta a la disminució de l’adsorció d’arsènic.

Tax incentives and direct support for R&D: What do firms use and why?

This paper studies whether firms' use of R&D subsidies and R&D tax incentives is correlated to two sources of underinvestment in R&D, financing constraints and appropriability. We find that financially constrained SMEs are less likely to use R&D tax credits and more likely to obtain subsidies. SMEs using legal methods to protect their intellectual property are more likely to use tax incentives. Results are ambiguous for large firms. For both having previous experience in R&D increases the likelihood of using tax incentives, while it reduces the likelihood of using exclusively subsidies, suggesting that the latter induce entry into R&D. Results imply that direct funding and tax credits do not have the same ability to address each source of R&D underinvestment, and that on average subsidies may be better suited than tax credits at least for SMEs. From a policy perspective these tools may be complements rather than substitutes.