901 resultados para Local-Global topics
Resumo:
In the context of resource allocation on the basis of priorities, Ergin (2002) identifies a necessary and sufficient condition on the priority structure such that the student-optimal stable mechanism satisfies a consistency principle. Ergin (2002) formulates consistency as a local property based on a fixed population of agents and fixed resources -- we refer to this condition as local consistency and to his condition on the priority structure as local acyclicity. We identify a related but stronger necessary and sufficient condition (unit acyclicity) on the priority structure such that the student-optimal stable mechanism satisfies a more standard global consistency property. Next, we provide necessary and sufficient conditions for the student-optimal stable mechanism to satisfy converse consistency principles. We identify a necessary and sufficient condition (local shift-freeness) on the priority structure such that the student-optimal stable mechanism satisfies local converse consistency. Interestingly, local acyclicity implies local shift-freeness and hence the student-optimal stable mechanism more frequently satisfies local converse consistency than local consistency. Finally, in order for the student-optimal stable mechanism to be globally conversely consistent, one again has to impose unit acyclicity on the priority structure. Hence, unit acyclicity is a necessary and sufficient condition on the priority structure for the student-optimal stable mechanism to satisfy global consistency or global converse consistency.
Resumo:
The EMCDDA’s cannabis monograph addresses one basic question. How can I find quality information on cannabis, amid all the bias and opinion? The monograph is divided into two volumes. The first volume centres on political, legislative, commercial and social developments relating to cannabis. Its core audience thus comprises policymakers, sociologists, historians, journalists and those involved in enforcement. The second volume is targeted at drugs professionals working in the fields of treatment, prevention and healthcare.This resource was contributed by The National Documentation Centre on Drug Use.
Resumo:
Background: New ways of representing diffusion data emerged recently and achieved to create structural connectivitymaps in healthy brains (Hagmann P et al. (2008)). These maps have the capacity to study alterations over the entire brain at the connection and network level. This is of high interest in complex disconnection diseases like schizophrenia. In this Pathology where multiple lines of evidence suggest the association of the pathology with abnormalities in neural circuitry and impaired structural connectivity, the diffusion imaging has been widely applied. Despite the large findings, most of the research using the diffusion just uses some scalar map derived from diffusion to show that some markers of white matter integrity are diminished in several areas of the brain (Kyriakopoulos M et al (2008)). Thanks to the structural connectionmatrix constructed by the whole brain tractography, we report in this work the network connectivity alterations in the schizophrenic patients. Methods: We investigated 13 schizophrenic patients as assessed by the DIGS (Diagnostic Interview for genetic studies, DSM IV criteria) and 13 healthy controls. We have got from each volunteer a DT-MRI as well as Qball imaging dataset and a high resolution anatomic T1 performed during the same session; with a 3 T clinical MRI scanner. The controls were matched on age, gender, handedness, and parental social economic-status. For all the subjects, a low resolution connection matrix is obtained by dividing the cortex into 66 gyral based ROIs. A higher resolution matrix is constructed using 250 ROIs as described in Hagmann P et al. (2008). These ROIs are respectively used jointly with the diffusion tractography to construct the high and low resolution densities connection matrices for each subject. In a first step the matrices of the groups are compared in term of connectivity, and not in term of density to check if the pathological group shows a loss of global connectivity. In this context the density connection matrices were binarized. As some local connectivity changes were also suspected, especially in frontal and temporal areas, we have also looked for the areas where the connectivity showed significant changes. Results: The statistical analysis revealed a significant loss of global connectivity in the schizophrenic's brains at level 5%. Furthermore, by constructing specific statistics which represent local connectivity within the anatomical regions (66 ROIs) using the data obtained by the finest resolution (250 ROIs) to improve the robustness, we found the regions that cause this significant loss of connectivity. The significance is observed after multiple testing corrections by the False Discovery Rate. Discussion: The detected regions are almost the same as those reported in the literature as the involved regions in schizophrenia. Most of the connectivity decreases are noted in both hemispheres in the fronto-frontal and temporo-temporal regions as well as some temporal ROIs with their adjacent ROIs in parietal and occipital lobes.
Resumo:
Per què a un fumador del Canadà li costa 10 vegades més diners comprar un paquet de tabac que el que li costa a un fumador de Cuba? Què se n’ha fet dels anuncis de Marlboro als cotxes de l’escuderia automovilística Ferrari? Comés que s’han creat espais reservats per a fumadors en els últims anys? Aquestes i altres preguntes sobre el món del tabac conformen l’objecte del nostre treball d’investigació. El nostre propòsit és intentar donar resposta a qüestions com aquestes, i fer que el lector entengui realment a què es deuen aquests canvis en l’estructura del mercat del tabac. Mostrarem, mitjançant una mirada analítica dels diferents factors, que gran part d’aquests efectes en un producte (com pot ser el cigarret, en el cas que ens ocupa) són extrapolables a altres béns i que es poden explicar des del punt de vista econòmic, examinant les decisions d’agents amagats com ara el govern, i considerant les repercussions dels diferents tipus de polítiques.Com tots sabem, el món actual està conformat per un seguit de relacions entre individus, o millor dit, agents econòmics que interactuen entre ells. Els resultats d’aquestes interaccions determinen el comportament de variables que, ben definides, poden ser estudiades, així com els seus efectes. Nosaltres hem intentat mostrar d’una manera senzilla i a l’abast de tothom fins a quin punt arriben aquestes interrelacions. El que preteníem en tot moment basar-nos en dades objectives obtingudes previ estudi. Es per això que, de la mateixa manera que al acabar el treball el lector serà capaç d’entendre per què varia elpreu del mateix bé al creuar una frontera, queda a càrrec de cadascú determinar si, per exemple, els fumadors són objectes de persecució o de si les mesures paternalistes del govern envers la prohibició de la publicitat estan justificades.
Resumo:
As desigualdades socioeconómicas, a heterogeneidade cultural e a diversidade de necessidades educativas dos alunos, no contexto do ensino superior, justificam que, ao arrepio das tendências de uniformização das políticas educacionais, sob a égide da globalização hegemónica, sejam adotadas ações afirmativas que promovam a equidade no acesso, a inclusão e o sucesso dos sujeitos aprendentes, bem como a sua inserção na vida ativa, rompendo com lógicas de discriminação e reprodução das desigualdades. Todavia, sob pena de fracassarem, as ações afirmativas não devem limitar-se à dimensão prescritiva das políticas educativas, que se evidencia especialmente nos normativos, documentos e discursos oficiais. Assim, e no pressuposto de que o desafio da democratização e qualificação dos níveis de ensino a montante do ensino superior é assumido com determinação pelo Estado e demais atores, as ações afirmativas no ensino superior serão tanto mais bem-sucedidas quanto maior for a sua assunção efetiva a nível das academias, quer mediante o engajamento e protagonismo dos alunos beneficiários dessas medidas, quer através da realização dos currículos prescritos numa perspetiva interpretativa, inovadora, diferenciada e emancipadora, traduzindo a essência democrática e inclusiva do ato pedagógico.
Resumo:
Na abordagem da problemática do currículo e do seu desenvolvimento no contexto do ensino superior, tem-se enfatizado a centralidade do conhecimento científico, com a consequente tradução do global e do local na produção científica, bem como nas prescrições e nas práxis curriculares. Entretanto, a tendência para, à escala internacional, prevalecerem lógicas hegemónicas e mercadológicas na prescrição e aferição do conhecimento válido, e a existência de gritantes assimetrias entre os países centrais e da periferia na produção científica constituem sérios desafios na promoção de uma educação e de um ensino superior pautados por perspetivas contra-hegemónicas e humanistas. No entanto, não é suficiente a denúncia do hegemonismo científico e curricular, nem mesmo a reivindicação, a nível dos discursos, quer de um maior protagonismo dos países periféricos na promoção do património mundial do conhecimento, quer de uma mais efetiva autonomia das universidades na conceção dos currículos e projetos de formação. Nesta conferência, sustenta-se que não só é possível aliar-se o global e o local nos processos de formulação das opções curriculares e dos projetos de formação, mediante a instauração de lógicas idiossincráticas, democráticas e emancipadoras na tradução do desígnio nacional de desenvolvimento dos países da periferia, como existe um vasto potencial de oportunidades de inovação, adaptação e recriação do currículo no contexto das atividades académicas, com a consequente promoção das epistemologias dos referidos países, como contribuição para a valorização do património universal do conhecimento.
Resumo:
Functionally relevant large scale brain dynamics operates within the framework imposed by anatomical connectivity and time delays due to finite transmission speeds. To gain insight on the reliability and comparability of large scale brain network simulations, we investigate the effects of variations in the anatomical connectivity. Two different sets of detailed global connectivity structures are explored, the first extracted from the CoCoMac database and rescaled to the spatial extent of the human brain, the second derived from white-matter tractography applied to diffusion spectrum imaging (DSI) for a human subject. We use the combination of graph theoretical measures of the connection matrices and numerical simulations to explicate the importance of both connectivity strength and delays in shaping dynamic behaviour. Our results demonstrate that the brain dynamics derived from the CoCoMac database are more complex and biologically more realistic than the one based on the DSI database. We propose that the reason for this difference is the absence of directed weights in the DSI connectivity matrix.
Resumo:
Biofuels are considered as a promising substitute for fossil fuels when considering the possible reduction of greenhouse gases emissions. However limiting their impacts on potential benefits for reducing climate change is shortsighted. Global sustainability assessments are necessary to determine the sustainability of supply chains. We propose a new global criterion based framework enabling a comprehensive international comparison of bioethanol supply chains. The interest of this framework is that the selection of the sustainability indicators is qualified on three criterions: relevance, reliability and adaptability to the local context. Sustainability issues have been handled along environmental, social and economical issues. This new framework has been applied for a specific issue: from a Swiss perspective, is locally produced bioethanol in Switzerland more sustainable than imported from Brazil? Thanks to this framework integrating local context in its indicator definition, Brazilian production of bioethanol is shown as energy efficient and economically interesting for Brazil. From a strictly economic point of view, bioethanol production within Switzerland is not justified for Swiss consumption and questionable for the environmental issue. The social dimension is delicate to assess due to the lack of reliable data and is strongly linked to the agricultural policy in both countries. There is a need of establishing minimum sustainability criteria for imported bioethanol to avoid unwanted negative or leakage effects.
Resumo:
In groundwater applications, Monte Carlo methods are employed to model the uncertainty on geological parameters. However, their brute-force application becomes computationally prohibitive for highly detailed geological descriptions, complex physical processes, and a large number of realizations. The Distance Kernel Method (DKM) overcomes this issue by clustering the realizations in a multidimensional space based on the flow responses obtained by means of an approximate (computationally cheaper) model; then, the uncertainty is estimated from the exact responses that are computed only for one representative realization per cluster (the medoid). Usually, DKM is employed to decrease the size of the sample of realizations that are considered to estimate the uncertainty. We propose to use the information from the approximate responses for uncertainty quantification. The subset of exact solutions provided by DKM is then employed to construct an error model and correct the potential bias of the approximate model. Two error models are devised that both employ the difference between approximate and exact medoid solutions, but differ in the way medoid errors are interpolated to correct the whole set of realizations. The Local Error Model rests upon the clustering defined by DKM and can be seen as a natural way to account for intra-cluster variability; the Global Error Model employs a linear interpolation of all medoid errors regardless of the cluster to which the single realization belongs. These error models are evaluated for an idealized pollution problem in which the uncertainty of the breakthrough curve needs to be estimated. For this numerical test case, we demonstrate that the error models improve the uncertainty quantification provided by the DKM algorithm and are effective in correcting the bias of the estimate computed solely from the MsFV results. The framework presented here is not specific to the methods considered and can be applied to other combinations of approximate models and techniques to select a subset of realizations