964 resultados para Build
Resumo:
We build a theoretical framework that allows for endogenous conflict behaviour (i.e., fighting efforts) and for endogenous natural resource exploitation (i.e., speed, ownership, and investments). While depletion is spread in a balanced Hotelling fashion during peace, the presence of conflict creates incentives for rapacious extraction, as this lowers the stakes of future contest. This voracious extraction depresses total oil revenue, especially if world oil demand is relatively elastic and the government's weapon advantage is weak. Some of these political distortions can be overcome by bribing rebels or by government investment in weapons. The shadow of conflict can also make less efficient nationalized oil extraction more attractive than private extraction, as insecure property rights create a holdup problem for the private firm and lead to a lower license fee. Furthermore, the government fights less intensely than the rebels under private exploitation, which leads to more government turnover. Without credible commitment to future fighting efforts, private oil depletion is only lucrative if the government's non-oil office rents are large and weaponry powerful, which guarantees the government a stronger grip on office and makes the holdup problem less severe.
Resumo:
Background With the emergence of influenza H1N1v the world is facing its first 21st century global pandemic. Severe Acute Respiratory Syndrome (SARS) and avian influenza H5N1 prompted development of pandemic preparedness plans. National systems of public health law are essential for public health stewardship and for the implementation of public health policy[1]. International coherence will contribute to effective regional and global responses. However little research has been undertaken on how law works as a tool for disease control in Europe. With co-funding from the European Union, we investigated the extent to which laws across Europe support or constrain pandemic preparedness planning, and whether national differences are likely to constrain control efforts. Methods We undertook a survey of national public health laws across 32 European states using a questionnaire designed around a disease scenario based on pandemic influenza. Questionnaire results were reviewed in workshops, analysing how differences between national laws might support or hinder regional responses to pandemic influenza. Respondents examined the impact of national laws on the movements of information, goods, services and people across borders in a time of pandemic, the capacity for surveillance, case detection, case management and community control, the deployment of strategies of prevention, containment, mitigation and recovery and the identification of commonalities and disconnects across states. Results Results of this study show differences across Europe in the extent to which national pandemic policy and pandemic plans have been integrated with public health laws. We found significant differences in legislation and in the legitimacy of strategic plans. States differ in the range and the nature of intervention measures authorized by law, the extent to which borders could be closed to movement of persons and goods during a pandemic, and access to healthcare of non-resident persons. Some states propose use of emergency powers that might potentially override human rights protections while other states propose to limit interventions to those authorized by public health laws. Conclusion These differences could create problems for European strategies if an evolving influenza pandemic results in more serious public health challenges or, indeed, if a novel disease other than influenza emerges with pandemic potential. There is insufficient understanding across Europe of the role and importance of law in pandemic planning. States need to build capacity in public health law to support disease prevention and control policies. Our research suggests that states would welcome further guidance from the EU on management of a pandemic, and guidance to assist in greater commonality of legal approaches across states.
Resumo:
Theory of compositional data analysis is often focused on the composition only. However in practical applications we often treat a composition together with covariableswith some other scale. This contribution systematically gathers and develop statistical tools for this situation. For instance, for the graphical display of the dependenceof a composition with a categorical variable, a colored set of ternary diagrams mightbe a good idea for a first look at the data, but it will fast hide important aspects ifthe composition has many parts, or it takes extreme values. On the other hand colored scatterplots of ilr components could not be very instructive for the analyst, if theconventional, black-box ilr is used.Thinking on terms of the Euclidean structure of the simplex, we suggest to set upappropriate projections, which on one side show the compositional geometry and on theother side are still comprehensible by a non-expert analyst, readable for all locations andscales of the data. This is e.g. done by defining special balance displays with carefully-selected axes. Following this idea, we need to systematically ask how to display, explore,describe, and test the relation to complementary or explanatory data of categorical, real,ratio or again compositional scales.This contribution shows that it is sufficient to use some basic concepts and very fewadvanced tools from multivariate statistics (principal covariances, multivariate linearmodels, trellis or parallel plots, etc.) to build appropriate procedures for all these combinations of scales. This has some fundamental implications in their software implementation, and how might they be taught to analysts not already experts in multivariateanalysis
Resumo:
OBJECTIVE: The reverse transcriptase inhibitor efavirenz is currently used at a fixed dose of 600 mg/d. However, dosage individualization based on plasma concentration monitoring might be indicated. This study aimed to assess the efavirenz pharmacokinetic profile and interpatient versus intrapatient variability in patients who are positive for human immunodeficiency virus, to explore the relationship between drug exposure, efficacy, and central nervous system toxicity and to build up a Bayesian approach for dosage adaptation. METHODS: The population pharmacokinetic analysis was performed by use of NONMEM based on plasma samples from a cohort of unselected patients receiving efavirenz. With the use of a 1-compartment model with first-order absorption, the influence of demographic and clinical characteristics on oral clearance and oral volume of distribution was examined. The average drug exposure during 1 dosing interval was estimated for each patient and correlated with markers of efficacy and toxicity. The population kinetic parameters and the variabilities were integrated into a Bayesian equation for dosage adaptation based on a single plasma sample. RESULTS: Data from 235 patients with a total of 719 efavirenz concentrations were collected. Oral clearance was 9.4 L/h, oral volume of distribution was 252 L, and the absorption rate constant was 0.3 h(-1). Neither the demographic covariates evaluated nor the comedications showed a clinically significant influence on efavirenz pharmacokinetics. A large interpatient variability was found to affect efavirenz relative bioavailability (coefficient of variation, 54.6%), whereas the intrapatient variability was small (coefficient of variation, 26%). An inverse correlation between average drug exposure and viral load and a trend with central nervous system toxicity were detected. This enabled the derivation of a dosing adaptation strategy suitable to bring the average concentration into a therapeutic target from 1000 to 4000 microg/L to optimize viral load suppression and to minimize central nervous system toxicity. CONCLUSIONS: The high interpatient and low intrapatient variability values, as well as the potential relationship with markers of efficacy and toxicity, support the therapeutic drug monitoring of efavirenz. However, further evaluation is needed before individualization of an efavirenz dosage regimen based on routine drug level monitoring should be recommended for optimal patient management.
Resumo:
This analysis was stimulated by the real data analysis problem of householdexpenditure data. The full dataset contains expenditure data for a sample of 1224 households. The expenditure is broken down at 2 hierarchical levels: 9 major levels (e.g. housing, food, utilities etc.) and 92 minor levels. There are also 5 factors and 5 covariates at the household level. Not surprisingly, there are a small number of zeros at the major level, but many zeros at the minor level. The question is how best to model the zeros. Clearly, models that tryto add a small amount to the zero terms are not appropriate in general as at least some of the zeros are clearly structural, e.g. alcohol/tobacco for households that are teetotal. The key question then is how to build suitable conditional models. For example, is the sub-composition of spendingexcluding alcohol/tobacco similar for teetotal and non-teetotal households?In other words, we are looking for sub-compositional independence. Also, what determines whether a household is teetotal? Can we assume that it is independent of the composition? In general, whether teetotal will clearly depend on the household level variables, so we need to be able to model this dependence. The other tricky question is that with zeros on more than onecomponent, we need to be able to model dependence and independence of zeros on the different components. Lastly, while some zeros are structural, others may not be, for example, for expenditure on durables, it may be chance as to whether a particular household spends money on durableswithin the sample period. This would clearly be distinguishable if we had longitudinal data, but may still be distinguishable by looking at the distribution, on the assumption that random zeros will usually be for situations where any non-zero expenditure is not small.While this analysis is based on around economic data, the ideas carry over tomany other situations, including geological data, where minerals may be missing for structural reasons (similar to alcohol), or missing because they occur only in random regions which may be missed in a sample (similar to the durables)
Resumo:
Kriging is an interpolation technique whose optimality criteria are based on normality assumptions either for observed or for transformed data. This is the case of normal, lognormal and multigaussian kriging.When kriging is applied to transformed scores, optimality of obtained estimators becomes a cumbersome concept: back-transformed optimal interpolations in transformed scores are not optimal in the original sample space, and vice-versa. This lack of compatible criteria of optimality induces a variety of problems in both point and block estimates. For instance, lognormal kriging, widely used to interpolate positivevariables, has no straightforward way to build consistent and optimal confidence intervals for estimates.These problems are ultimately linked to the assumed space structure of the data support: for instance, positive values, when modelled with lognormal distributions, are assumed to be embedded in the whole real space, with the usual real space structure and Lebesgue measure
Resumo:
Seafloor imagery is a rich source of data for the study of biological and geological processes. Among several applications, still images of the ocean floor can be used to build image composites referred to as photo-mosaics. Photo-mosaics provide a wide-area visual representation of the benthos, and enable applications as diverse as geological surveys, mapping and detection of temporal changes in the morphology of biodiversity. We present an approach for creating globally aligned photo-mosaics using 3D position estimates provided by navigation sensors available in deep water surveys. Without image registration, such navigation data does not provide enough accuracy to produce useful composite images. Results from a challenging data set of the Lucky Strike vent field at the Mid Atlantic Ridge are reported
Resumo:
Expert supervision systems are software applications specially designed to automate process monitoring. The goal is to reduce the dependency on human operators to assure the correct operation of a process including faulty situations. Construction of this kind of application involves an important task of design and development in order to represent and to manipulate process data and behaviour at different degrees of abstraction for interfacing with data acquisition systems connected to the process. This is an open problem that becomes more complex with the number of variables, parameters and relations to account for the complexity of the process. Multiple specialised modules tuned to solve simpler tasks that operate under a co-ordination provide a solution. A modular architecture based on concepts of software agents, taking advantage of the integration of diverse knowledge-based techniques, is proposed for this purpose. The components (software agents, communication mechanisms and perception/action mechanisms) are based on ICa (Intelligent Control architecture), software middleware supporting the build-up of applications with software agent features
Resumo:
Malaria diagnoses has traditionally been made using thick blood smears, but more sensitive and faster techniques are required to process large numbers of samples in clinical and epidemiological studies and in blood donor screening. Here, we evaluated molecular and serological tools to build a screening platform for pooled samples aimed at reducing both the time and the cost of these diagnoses. Positive and negative samples were analysed in individual and pooled experiments using real-time polymerase chain reaction (PCR), nested PCR and an immunochromatographic test. For the individual tests, 46/49 samples were positive by real-time PCR, 46/49 were positive by nested PCR and 32/46 were positive by immunochromatographic test. For the assays performed using pooled samples, 13/15 samples were positive by real-time PCR and nested PCR and 11/15 were positive by immunochromatographic test. These molecular methods demonstrated sensitivity and specificity for both the individual and pooled samples. Due to the advantages of the real-time PCR, such as the fast processing and the closed system, this method should be indicated as the first choice for use in large-scale diagnosis and the nested PCR should be used for species differentiation. However, additional field isolates should be tested to confirm the results achieved using cultured parasites and the serological test should only be adopted as a complementary method for malaria diagnosis.
Resumo:
The Spanish Society of Nursing Emergency (SEEUE) has several lines documentaries that can be consulted on its web page and that have been spread through various publications: Statutes, scientific recommendations, professional recommendations, statements and allegations, grounds for nursing emergency, guarantees and rules, documents of interest and legislation. Set this that composed the regulatory environment, legal and recommendations which society poses to the collective nurse from the area of the emergency, as well as the rest of actors associated with urgent assistance (institutional and administratively) and through what has been the work of conceptualization and definition in our area the past few years. Part of this documentation offer possibilities for scientific endorsement and professional and invites to continue building knowledge and evidence. It is in this sense in which this work can and should be defined from a literature review approach and under the scheme of "review article". The working Group in Primary Care (PC) of the SEEUE, decided to build a Professional Recommendation (PR) in one of the areas of "uncertainty/variability" in the employment context and historical demand of nurses and other emergency care team on security issues: "The uniform and personal protective equipment for professional teams on prehospital emergency areas”.
Resumo:
Fine particulate matter from traffic increases mortality and morbidity. An important source of traffic particles is brake wear. American studies reported cars to emit break wear particles at a rate of about 11mg/km to 20mg/km of driven distance. A German study estimated that break wear contributes about 12.5% to 21% of the total traffic particle emissions. The goal of this study was to build a system that allows the study of brake wear particle emissions during different braking behaviours of different car and brake types. The particles should be characterize in terms of size, number, metal, and elemental and organic carbon composition. In addition, the influence of different deceleration schemes on the particle composition and size distribution should be studied. Finally, this system should allow exposing human cell cultures to these particles. An exposure-box (0.25 cubic-m volume) was built that can be mounted around a car's braking system. This allows exposing cells to fresh brake wear particles. Concentrations of particle numbers, mass and surface, metals, and carbon compounds were quantified. Tests were conducted with A549 lung epithelial cells. Five different cars and two typical braking behaviours (full stop and normal deceleration) were tested. Particle number and size distribution was analysed for the first six minutes. In this time, two braking events occurred. Full stop produced significantly higher particle concentrations than normal deceleration (average of 23'000 vs. 10'400 #/cm3, p= 0.016). The particle number distribution was bi-modal with one peak at 60 to 100 nm (depending on the tested car and braking behaviour) and a second peak at 200 to 400 nm. Metal concentrations varied depending on the tested car type. Iron (range of 163 to 15'600 μg/m3) and Manganese (range of 0.9 to 135 μg/m3) were present in all samples, while Copper was absent in some samples (<6 to 1220 μg/m3). The overall "fleet" metal ratio was Fe:Cu:Mn = 128:14:1. Temperature and humidity varied little. A549-cells were successfully exposed in the various experimental settings and retained their viability. Culture supernatant was stored and cell culture samples were fixated to test for inflammatory response. Analysis of these samples is ongoing. The established system allowed testing brake wear particle emissions from real-world cars. The large variability of chemical composition and emitted amounts of brake wear particles between car models seems to be related to differences between brake pad compositions of different producers. Initial results suggest that the conditions inside the exposure box allow exposing human lung epithelial cells to freshly produced brake wear particles.
Resumo:
El trabajo se centra en proporcionar una solución informática para la Administración de Propiedades haciendo uso de nuevas tecnologías y a su vez dotar de las herramientas necesarias para la construcción de una comunidad. El desarrollo de la solución pasa por la descripción de las herramientas empleadas y las etapas para su construcción, que incluyen el análisis, diseño, implementación y posterior implantación. Se hace énfasis en el Framework elegido para demostrar las ventajas de su aplicación. En la construcción de la comunidad se describen las herramientas utilizadas para la difusión del proyecto que incluyen la publicación de una página del proyecto, el uso de redes sociales y páginas publicitarias y la puesta en marcha de un software de colaboración para la administración del desarrollo del proyecto.
Resumo:
El objetivo de este proyecto es la construcción de un framework de presentación para el desarrollo de aplicaciones Web basadas en la plataforma J2EE. El proyecto comprende el estudio de las características de los frameworks más importantes disponibles en el mercado, prestando una atención especial a su arquitectura.
Resumo:
RESUME Staphylococcus aureus est un important pathogène à gram-positif, à la fois responsable d'infections nosocomiales et communautaires. Le S. aureus résistant à la méthicilline est intrinsèquement résistant aux bêta-lactamines, inhibiteurs de la synthèse de la paroi bactérienne, grâce à une enzyme nouvellement acquise, la protéine liant la pénicilline 2A, caractérisée par une faible affinité pour ces agents et pouvant poursuivre la synthèse de la paroi, alors que les autres enzymes sont bloquées. Ce micro-organisme a également développé des résistances contre quasiment tous les antibiotiques couramment utilisés en clinique. Parallèlement au développement de molécules entièrement nouvelles, il peut être utile d'explorer d'éventuelles caractéristiques inattendues de médicaments déjà existants, par exemple en les combinant, dans l'espoir d'un potentiel effet synergique. Comprendre les mécanismes de tels effets synergiques pourrait contribuer à la justification de leur utilisation clinique potentielle. Récemment, un effet synergique contre le S. aureus résistant à la méthicilline a été décrit entre la streptogramine quinupristine-datfopristine et les bêta-lactamines, aussi bien in vitro qu'in vivo. Le présent travail a pour but de proposer un modèle pour le mécanisme de cette interaction positive et de l'étendre à d'autres classes d'antibiotiques. Premièrement, un certain nombre de méthodes microbiologiques ont permis de mieux cerner la nature de cette interaction, en montrant qu'elle agissait spécifiquement sur le S. aureus résistant à la méthicilline et qu'elle était restreinte à l'association entre inhibiteurs de la synthèse des protéines et bêta-lactamines. Deuxièmement, L'observation de l'influence des inhibiteurs de la synthèse des protéines sur la machinerie de la paroi bactérienne, c'est-à-dire sur l'expression des protéines liant la pénicilline, responsables de la synthèse du peptidoglycan, a montré une diminution de la quantité de ta protéine liant la pénicilline 2, connue pour posséder une activité de transglycosylation, indispensable au bon fonctionnement de la protéine liant la pénicilline 2A, responsable de la résistance à la méthicilline. Troisièmement, l'analyse fine de la composition du peptidoglycan extrait de bactéries, avant ou après traitement par des inhibiteurs de la synthèse des protéines, a montré des altérations corrélant avec leur capacité à agir en synergie avec les bêta-lactamines contre S. aureus résistant à ta méthicilline. Ces altérations dans les muropeptides pourraient représenter une signature de la diminution de la quantité de la protéine liant la pénicilline 2. Le modèle mécanistique retenu considère que les inhibiteurs de la synthèse des protéines pourraient diminuer l'expression de la protéine Liant la pénicilline 2, indispensable à la résistance à la méthiciltine, et que ce déséquilibre dans les enzymes synthétisant la paroi bactérienne pourrait générer une signature dans les muropeptides. SUMMARY Staphylococcus aureus is a major gram-positive pathogen causing both hospital-acquired and community-acquired infections. Methicillin- resistant Staphylococcus aureus is intrinsically resistant to the cell wall inhibitors beta-lactams by virtue of a newly acquired cell-wall-building enzyme, tow-affinity penicillin-binding protein 2A, which can build the wall when other penicillin-binding proteins are blocked. Moreover, the microorganism has developed resistance to virtually all non-experimental antibiotics. In addition of producing entirely new molecules, it is useful to explore unexpected features of existing drugs, for example by using them in combination, expecting drug synergisms. Understanding the mechanisms of such synergisms would help justify their putative clinical utilization. Recently, a synergism between the streptogramin quinupristin-dalfopristin and beta-lactams was reported against methicillin-resistant S. aureus, both in vitro and in vivo. The present work intends to propose a model for the mechanism of this positive interaction and to extend it to other drug classes. First, microbiological experimentation helped better defining the nature of this interaction, restricting it to methicillin-resistant S. aureus, and to the association of protein synthesis inhibitors with beta-lactams. Second, the observation of inhibitors of protein synthesis influence on the cell-wall-building machinery, i.e. on the expression of penicillin-binding proteins responsible for peptidoglycan synthesis, showed a decrease in the amount of penicillin-binding protein 2, known to provide a transglycosylase activity for glycan chain elongation, indispensable for the functionality of the low-affinity penicillin-binding protein 2A responsible for methicillin resistance. Third, the fine analysis of the peptidoglycan composition purified from bacteria before or after treatment with inhibitors of protein synthesis showed alterations that correlated with their ability to synergize with beta-lactams against methicillin-resistant S. aureus. These muropeptide alterations could be the signature of decrease in the amount of penicillin-binding protein 2. The retained mechanistic model is that inhibitors of protein synthesis could decrease the expression of penicillin-binding protein 2, wich is indispensable for methicillin-resistance, and that this imbalance in cell-wall-building enzymes could generate a muropeptide signature.
Resumo:
The goal of this paper is twofold: first, we aim to assess the role played by inventors’ cross-regional mobility and networks of collaboration in fostering knowledge diffusion across regions and subsequent innovation. Second, we intend to evaluate the feasibility of using mobility and networks information to build cross-regional interaction matrices to be used within the spatial econometrics toolbox. To do so, we depart from a knowledge production function where regional innovation intensity is a function not only of the own regional innovation inputs but also external accessible R&D gained through interregional interactions. Differently from much of the previous literature, cross-section gravity models of mobility and networks are estimated to use the fitted values to build our ‘spatial’ weights matrices, which characterize the intensity of knowledge interactions across a panel of 269 regions covering most European countries over 6 years.