981 resultados para Intelligence framework


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The Framework Convention on Tobacco Control (FCTC) isa global and comprehensive legal framework for reducing demand for tobacco (e.g. price measures; ban on smoking in enclosed places; contents of tobacco products; packaging and labeling; advertising, promotion and sponsorship; liability, tobacco cessation, etc.) and supply (e.g. illicit trade; sales to/by minors, etc.). Adopted in 2003, the FCTC has been ratified by 174 countries so far. Switzerland has signed the treaty in 2004 but ratification will necessitate the implementation of stronger tobacco control measures at the national level. The FCTC is a priority of any strategy to reduce noncommunicable diseases in populations. Broad implementation of the FCTC has the potential to prevent a substantial proportion of the billion of tobacco-related deaths expected in the 21st

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Objective: The importance of hemodynamics in the etiopathogenesis of intracranial aneurysms (IAs) is widely accepted.Computational fluid dynamics (CFD) is being used increasingly for hemodynamic predictions. However, alogn with thecontinuing development and validation of these tools, it is imperative to collect the opinion of the clinicians. Methods: A workshopon CFD was conducted during the European Society of Minimally Invasive Neurological Therapy (ESMINT) Teaching Course,Lisbon, Portugal. 36 delegates, mostly clinicians, performed supervised CFD analysis for an IA, using the @neuFuse softwaredeveloped within the European project @neurIST. Feedback on the workshop was collected and analyzed. The performancewas assessed on a scale of 1 to 4 and, compared with experts’ performance. Results: Current dilemmas in the management ofunruptured IAs remained the most important motivating factor to attend the workshop and majority of participants showedinterest in participating in a multicentric trial. The participants achieved an average score of 2.52 (range 0–4) which was 63% (range 0–100%) of an expert user. Conclusions: Although participants showed a manifest interest in CFD, there was a clear lack ofawareness concerning the role of hemodynamics in the etiopathogenesis of IAs and the use of CFD in this context. More effortstherefore are required to enhance understanding of the clinicians in the subject.

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Analytical results harmonisation is investigated in this study to provide an alternative to the restrictive approach of analytical methods harmonisation which is recommended nowadays for making possible the exchange of information and then for supporting the fight against illicit drugs trafficking. Indeed, the main goal of this study is to demonstrate that a common database can be fed by a range of different analytical methods, whatever the differences in levels of analytical parameters between these latter ones. For this purpose, a methodology making possible the estimation and even the optimisation of results similarity coming from different analytical methods was then developed. In particular, the possibility to introduce chemical profiles obtained with Fast GC-FID in a GC-MS database is studied in this paper. By the use of the methodology, the similarity of results coming from different analytical methods can be objectively assessed and the utility in practice of database sharing by these methods can be evaluated, depending on profiling purposes (evidential vs. operational perspective tool). This methodology can be regarded as a relevant approach for database feeding by different analytical methods and puts in doubt the necessity to analyse all illicit drugs seizures in one single laboratory or to implement analytical methods harmonisation in each participating laboratory.

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Plan recognition is the problem of inferring the goals and plans of an agent from partial observations of her behavior. Recently, it has been shown that the problem can be formulated and solved usingplanners, reducing plan recognition to plan generation.In this work, we extend this model-basedapproach to plan recognition to the POMDP setting, where actions are stochastic and states are partially observable. The task is to infer a probability distribution over the possible goals of an agent whose behavior results from a POMDP model. The POMDP model is shared between agent and observer except for the true goal of the agent that is hidden to the observer. The observations are action sequences O that may contain gaps as some or even most of the actions done by the agent may not be observed. We show that the posterior goal distribution P(GjO) can be computed from the value function VG(b) over beliefs b generated by the POMDPplanner for each possible goal G. Some extensionsof the basic framework are discussed, and a numberof experiments are reported.

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En el marco del Espacio Europeo de Educación Superior 1 se inscriben innumerables acciones que están desarrollando todas las universidades europeas con la intención de llegar al 2010 con un bagaje lo suficientemente importante como para afrontar este cambio con entereza y sobretodo conservando (o incrementando) la calidad de los procesos de enseñanza- aprendizaje que hasta el momento han predominado. Dentro de este amplio proceso de transformación se encuentra el diseño de los nuevos Grados que brinda la oportunidad de replantear los planes de estudios, por tanto, la organización de las asignaturas, estructura de los contenidos, metodologías y sistemas de evaluación. Toda esta reflexión debe girar, a nuestro entender, alrededor de tres núcleos que se encuentran en estado deinterdependencia: los escenarios profesionales, los perfiles profesionales y las competencias que en ellos se inscriben.Para poder plantear los nuevos Grados en coherencia con la era del EEES debe hacerse un análisis minucioso de los perfil profesionales demandados por el mercado de trabajo que, al fin y al cabo será el destino de los profesionales que se forman en nuestras universidades, es por ello, que la tarea de definir el perfil profesional a priori del diseño de los nuevos Grados resulta una máxima para garantizar la calidad de estos. En este trabajo se presenta un ejemplo de metodología a seguir para la definición de un perfil profesional en Educación Superior, concretamente, el del Ingeniero TIC mediante el Análisis Funcional.

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Agir efficacement contre les incendies volontaires répétitifs représente un défi de taille pour la société et la police. Nous proposons d'utiliser l'intelligence-led policing et le cycle du renseignement comme cadre à une approche permettant une gestion et un suivi global et systématique de ces événements. Mais avant de pouvoir lancer ce processus, un certain nombre de défis doit être surmonté tel que la nature non spécifique des données. Il sera alors possible de mettre en place un processus qui permettra de faire des analyses pour obtenir une vision des incendies, détecter des situations répétitives et des liens entre les événements mettant en évidence des séries. Le renseignement obtenu par l'analyse des données rassemblées peut ensuite être utilisé pour mettre en place des moyens complémentaires d'enquête ou pour prendre des mesures préventives ou répressives.

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El projecte que aquí es presenta explora un nou enfocament a la interacció amb elssistemes interactius que típicament es proposen en museus. En aquests sistemes lainteracció i el feedback visual venen determinats per l’aplicació programada per l’arstista i no permet a l’usuari modificar-ne el seu comportament sinó tan sols interactuar amb les accións predefinides.L’enfocament que es planteja en aquest projecte és convertir als usuaris consumidorsd’aquests sistemes interactius en creadors i editors de les seves pròpies experiències.D’aquesta manera un sistema interactiu podrà ser modificat per l’usuari i així oferirdiferents respostes donada una mateixa entrada. Això es fa utilitzant un dispositiumultitouch com a sistema de configuració visual d’aquestes aplicacions així com un segon dispositiu com a sortida de l’aplicació visual.Aquest projecte neix de la idea de desenvolupar una eina útil i de fàcil ús per a crear aplicacions interactives, sense necessitat de tenir nocions de programació, de manera que qualsevol usuari inexpert pugui partir d’una idea i crear la seva pròpia aplicació interactiva.Així doncs, a través de diversos prototips i proves d’usabilitat es perfila una interfície de programació visual sobre una superfície tangible que sigui intuïtiva i fàcil d’utilitzar per a tot tipus d’usuaris.Per tal de dur a terme això s’ha dissenyat un sistema on s’utilitzen dos pantallesmultitouch, una amb la interfície de programació visual i l’altre amb la sortida del sistema creat. Això permet la interacció simultània entre usuaris creadors i usuaris consumidors de manera que l’experiència del consumidor pugui ser modificada en viu pel creador, segons interactuï amb la interfície de configuració.

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Almost 30 years ago, Bayesian networks (BNs) were developed in the field of artificial intelligence as a framework that should assist researchers and practitioners in applying the theory of probability to inference problems of more substantive size and, thus, to more realistic and practical problems. Since the late 1980s, Bayesian networks have also attracted researchers in forensic science and this tendency has considerably intensified throughout the last decade. This review article provides an overview of the scientific literature that describes research on Bayesian networks as a tool that can be used to study, develop and implement probabilistic procedures for evaluating the probative value of particular items of scientific evidence in forensic science. Primary attention is drawn here to evaluative issues that pertain to forensic DNA profiling evidence because this is one of the main categories of evidence whose assessment has been studied through Bayesian networks. The scope of topics is large and includes almost any aspect that relates to forensic DNA profiling. Typical examples are inference of source (or, 'criminal identification'), relatedness testing, database searching and special trace evidence evaluation (such as mixed DNA stains or stains with low quantities of DNA). The perspective of the review presented here is not exclusively restricted to DNA evidence, but also includes relevant references and discussion on both, the concept of Bayesian networks as well as its general usage in legal sciences as one among several different graphical approaches to evidence evaluation.

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The Baldwin effect can be observed if phenotypic learning influences the evolutionary fitness of individuals, which can in turn accelerate or decelerate evolutionary change. Evidence for both learning-induced acceleration and deceleration can be found in the literature. Although the results for both outcomes were supported by specific mathematical or simulation models, no general predictions have been achieved so far. Here we propose a general framework to predict whether evolution benefits from learning or not. It is formulated in terms of the gain function, which quantifies the proportional change of fitness due to learning depending on the genotype value. With an inductive proof we show that a positive gain-function derivative implies that learning accelerates evolution, and a negative one implies deceleration under the condition that the population is distributed on a monotonic part of the fitness landscape. We show that the gain-function framework explains the results of several specific simulation models. We also use the gain-function framework to shed some light on the results of a recent biological experiment with fruit flies.

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Échelle(s) : [1:3 964 000 environ], 1200 stades olympiques dont 8 égalent un mille romain [= 5,6 cm]

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Échelle(s) : [1:1 682 000 environ], Lieues comunes de France de 25 au degré, 20 [= 5,2 cm]