Early onset collagen VI myopathies: Genetic and clinical correlations.

OBJECTIVE: Mutations in the genes encoding the extracellular matrix protein collagen VI (ColVI) cause a spectrum of disorders with variable inheritance including Ullrich congenital muscular dystrophy, Bethlem myopathy, and intermediate phenotypes. We extensively characterized, at the clinical, cellular, and molecular levels, 49 patients with onset in the first 2 years of life to investigate genotype-phenotype correlations. METHODS: Patients were classified into 3 groups: early-severe (18%), moderate-progressive (53%), and mild (29%). ColVI secretion was analyzed in patient-derived skin fibroblasts. Chain-specific transcript levels were quantified by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR), and mutation identification was performed by sequencing of complementary DNA. RESULTS: ColVI secretion was altered in all fibroblast cultures studied. We identified 56 mutations, mostly novel and private. Dominant de novo mutations were detected in 61% of the cases. Importantly, mutations causing premature termination codons (PTCs) or in-frame insertions strikingly destabilized the corresponding transcripts. Homozygous PTC-causing mutations in the triple helix domains led to the most severe phenotypes (ambulation never achieved), whereas dominant de novo in-frame exon skipping and glycine missense mutations were identified in patients of the moderate-progressive group (loss of ambulation). INTERPRETATION: This work emphasizes that the diagnosis of early onset ColVI myopathies is arduous and time-consuming, and demonstrates that quantitative RT-PCR is a helpful tool for the identification of some mutation-bearing genes. Moreover, the clinical classification proposed allowed genotype-phenotype relationships to be explored, and may be useful in the design of future clinical trials.

Community Policing in Switzerland's Major Urban Areas: An Observational Study of the Implementation and Impact Using Geospatial Data Mining

La présente étude est à la fois une évaluation du processus de la mise en oeuvre et des impacts de la police de proximité dans les cinq plus grandes zones urbaines de Suisse - Bâle, Berne, Genève, Lausanne et Zurich. La police de proximité (community policing) est à la fois une philosophie et une stratégie organisationnelle qui favorise un partenariat renouvelé entre la police et les communautés locales dans le but de résoudre les problèmes relatifs à la sécurité et à l'ordre public. L'évaluation de processus a analysé des données relatives aux réformes internes de la police qui ont été obtenues par l'intermédiaire d'entretiens semi-structurés avec des administrateurs clés des cinq départements de police, ainsi que dans des documents écrits de la police et d'autres sources publiques. L'évaluation des impacts, quant à elle, s'est basée sur des variables contextuelles telles que des statistiques policières et des données de recensement, ainsi que sur des indicateurs d'impacts construit à partir des données du Swiss Crime Survey (SCS) relatives au sentiment d'insécurité, à la perception du désordre public et à la satisfaction de la population à l'égard de la police. Le SCS est un sondage régulier qui a permis d'interroger des habitants des cinq grandes zones urbaines à plusieurs reprises depuis le milieu des années 1980. L'évaluation de processus a abouti à un « Calendrier des activités » visant à créer des données de panel permettant de mesurer les progrès réalisés dans la mise en oeuvre de la police de proximité à l'aide d'une grille d'évaluation à six dimensions à des intervalles de cinq ans entre 1990 et 2010. L'évaluation des impacts, effectuée ex post facto, a utilisé un concept de recherche non-expérimental (observational design) dans le but d'analyser les impacts de différents modèles de police de proximité dans des zones comparables à travers les cinq villes étudiées. Les quartiers urbains, délimités par zone de code postal, ont ainsi été regroupés par l'intermédiaire d'une typologie réalisée à l'aide d'algorithmes d'apprentissage automatique (machine learning). Des algorithmes supervisés et non supervisés ont été utilisés sur les données à haute dimensionnalité relatives à la criminalité, à la structure socio-économique et démographique et au cadre bâti dans le but de regrouper les quartiers urbains les plus similaires dans des clusters. D'abord, les cartes auto-organisatrices (self-organizing maps) ont été utilisées dans le but de réduire la variance intra-cluster des variables contextuelles et de maximiser simultanément la variance inter-cluster des réponses au sondage. Ensuite, l'algorithme des forêts d'arbres décisionnels (random forests) a permis à la fois d'évaluer la pertinence de la typologie de quartier élaborée et de sélectionner les variables contextuelles clés afin de construire un modèle parcimonieux faisant un minimum d'erreurs de classification. Enfin, pour l'analyse des impacts, la méthode des appariements des coefficients de propension (propensity score matching) a été utilisée pour équilibrer les échantillons prétest-posttest en termes d'âge, de sexe et de niveau d'éducation des répondants au sein de chaque type de quartier ainsi identifié dans chacune des villes, avant d'effectuer un test statistique de la différence observée dans les indicateurs d'impacts. De plus, tous les résultats statistiquement significatifs ont été soumis à une analyse de sensibilité (sensitivity analysis) afin d'évaluer leur robustesse face à un biais potentiel dû à des covariables non observées. L'étude relève qu'au cours des quinze dernières années, les cinq services de police ont entamé des réformes majeures de leur organisation ainsi que de leurs stratégies opérationnelles et qu'ils ont noué des partenariats stratégiques afin de mettre en oeuvre la police de proximité. La typologie de quartier développée a abouti à une réduction de la variance intra-cluster des variables contextuelles et permet d'expliquer une partie significative de la variance inter-cluster des indicateurs d'impacts avant la mise en oeuvre du traitement. Ceci semble suggérer que les méthodes de géocomputation aident à équilibrer les covariables observées et donc à réduire les menaces relatives à la validité interne d'un concept de recherche non-expérimental. Enfin, l'analyse des impacts a révélé que le sentiment d'insécurité a diminué de manière significative pendant la période 2000-2005 dans les quartiers se trouvant à l'intérieur et autour des centres-villes de Berne et de Zurich. Ces améliorations sont assez robustes face à des biais dus à des covariables inobservées et covarient dans le temps et l'espace avec la mise en oeuvre de la police de proximité. L'hypothèse alternative envisageant que les diminutions observées dans le sentiment d'insécurité soient, partiellement, un résultat des interventions policières de proximité semble donc être aussi plausible que l'hypothèse nulle considérant l'absence absolue d'effet. Ceci, même si le concept de recherche non-expérimental mis en oeuvre ne peut pas complètement exclure la sélection et la régression à la moyenne comme explications alternatives. The current research project is both a process and impact evaluation of community policing in Switzerland's five major urban areas - Basel, Bern, Geneva, Lausanne, and Zurich. Community policing is both a philosophy and an organizational strategy that promotes a renewed partnership between the police and the community to solve problems of crime and disorder. The process evaluation data on police internal reforms were obtained through semi-structured interviews with key administrators from the five police departments as well as from police internal documents and additional public sources. The impact evaluation uses official crime records and census statistics as contextual variables as well as Swiss Crime Survey (SCS) data on fear of crime, perceptions of disorder, and public attitudes towards the police as outcome measures. The SCS is a standing survey instrument that has polled residents of the five urban areas repeatedly since the mid-1980s. The process evaluation produced a "Calendar of Action" to create panel data to measure community policing implementation progress over six evaluative dimensions in intervals of five years between 1990 and 2010. The impact evaluation, carried out ex post facto, uses an observational design that analyzes the impact of the different community policing models between matched comparison areas across the five cities. Using ZIP code districts as proxies for urban neighborhoods, geospatial data mining algorithms serve to develop a neighborhood typology in order to match the comparison areas. To this end, both unsupervised and supervised algorithms are used to analyze high-dimensional data on crime, the socio-economic and demographic structure, and the built environment in order to classify urban neighborhoods into clusters of similar type. In a first step, self-organizing maps serve as tools to develop a clustering algorithm that reduces the within-cluster variance in the contextual variables and simultaneously maximizes the between-cluster variance in survey responses. The random forests algorithm then serves to assess the appropriateness of the resulting neighborhood typology and to select the key contextual variables in order to build a parsimonious model that makes a minimum of classification errors. Finally, for the impact analysis, propensity score matching methods are used to match the survey respondents of the pretest and posttest samples on age, gender, and their level of education for each neighborhood type identified within each city, before conducting a statistical test of the observed difference in the outcome measures. Moreover, all significant results were subjected to a sensitivity analysis to assess the robustness of these findings in the face of potential bias due to some unobserved covariates. The study finds that over the last fifteen years, all five police departments have undertaken major reforms of their internal organization and operating strategies and forged strategic partnerships in order to implement community policing. The resulting neighborhood typology reduced the within-cluster variance of the contextual variables and accounted for a significant share of the between-cluster variance in the outcome measures prior to treatment, suggesting that geocomputational methods help to balance the observed covariates and hence to reduce threats to the internal validity of an observational design. Finally, the impact analysis revealed that fear of crime dropped significantly over the 2000-2005 period in the neighborhoods in and around the urban centers of Bern and Zurich. These improvements are fairly robust in the face of bias due to some unobserved covariate and covary temporally and spatially with the implementation of community policing. The alternative hypothesis that the observed reductions in fear of crime were at least in part a result of community policing interventions thus appears at least as plausible as the null hypothesis of absolutely no effect, even if the observational design cannot completely rule out selection and regression to the mean as alternative explanations.

Analysis, modelling and visualisation of spatiotemporal data for urban studies

The proportion of population living in or around cites is more important than ever. Urban sprawl and car dependence have taken over the pedestrian-friendly compact city. Environmental problems like air pollution, land waste or noise, and health problems are the result of this still continuing process. The urban planners have to find solutions to these complex problems, and at the same time insure the economic performance of the city and its surroundings. At the same time, an increasing quantity of socio-economic and environmental data is acquired. In order to get a better understanding of the processes and phenomena taking place in the complex urban environment, these data should be analysed. Numerous methods for modelling and simulating such a system exist and are still under development and can be exploited by the urban geographers for improving our understanding of the urban metabolism. Modern and innovative visualisation techniques help in communicating the results of such models and simulations. This thesis covers several methods for analysis, modelling, simulation and visualisation of problems related to urban geography. The analysis of high dimensional socio-economic data using artificial neural network techniques, especially self-organising maps, is showed using two examples at different scales. The problem of spatiotemporal modelling and data representation is treated and some possible solutions are shown. The simulation of urban dynamics and more specifically the traffic due to commuting to work is illustrated using multi-agent micro-simulation techniques. A section on visualisation methods presents cartograms for transforming the geographic space into a feature space, and the distance circle map, a centre-based map representation particularly useful for urban agglomerations. Some issues on the importance of scale in urban analysis and clustering of urban phenomena are exposed. A new approach on how to define urban areas at different scales is developed, and the link with percolation theory established. Fractal statistics, especially the lacunarity measure, and scale laws are used for characterising urban clusters. In a last section, the population evolution is modelled using a model close to the well-established gravity model. The work covers quite a wide range of methods useful in urban geography. Methods should still be developed further and at the same time find their way into the daily work and decision process of urban planners. La part de personnes vivant dans une région urbaine est plus élevé que jamais et continue à croître. L'étalement urbain et la dépendance automobile ont supplanté la ville compacte adaptée aux piétons. La pollution de l'air, le gaspillage du sol, le bruit, et des problèmes de santé pour les habitants en sont la conséquence. Les urbanistes doivent trouver, ensemble avec toute la société, des solutions à ces problèmes complexes. En même temps, il faut assurer la performance économique de la ville et de sa région. Actuellement, une quantité grandissante de données socio-économiques et environnementales est récoltée. Pour mieux comprendre les processus et phénomènes du système complexe "ville", ces données doivent être traitées et analysées. Des nombreuses méthodes pour modéliser et simuler un tel système existent et sont continuellement en développement. Elles peuvent être exploitées par le géographe urbain pour améliorer sa connaissance du métabolisme urbain. Des techniques modernes et innovatrices de visualisation aident dans la communication des résultats de tels modèles et simulations. Cette thèse décrit plusieurs méthodes permettant d'analyser, de modéliser, de simuler et de visualiser des phénomènes urbains. L'analyse de données socio-économiques à très haute dimension à l'aide de réseaux de neurones artificiels, notamment des cartes auto-organisatrices, est montré à travers deux exemples aux échelles différentes. Le problème de modélisation spatio-temporelle et de représentation des données est discuté et quelques ébauches de solutions esquissées. La simulation de la dynamique urbaine, et plus spécifiquement du trafic automobile engendré par les pendulaires est illustrée à l'aide d'une simulation multi-agents. Une section sur les méthodes de visualisation montre des cartes en anamorphoses permettant de transformer l'espace géographique en espace fonctionnel. Un autre type de carte, les cartes circulaires, est présenté. Ce type de carte est particulièrement utile pour les agglomérations urbaines. Quelques questions liées à l'importance de l'échelle dans l'analyse urbaine sont également discutées. Une nouvelle approche pour définir des clusters urbains à des échelles différentes est développée, et le lien avec la théorie de la percolation est établi. Des statistiques fractales, notamment la lacunarité, sont utilisées pour caractériser ces clusters urbains. L'évolution de la population est modélisée à l'aide d'un modèle proche du modèle gravitaire bien connu. Le travail couvre une large panoplie de méthodes utiles en géographie urbaine. Toutefois, il est toujours nécessaire de développer plus loin ces méthodes et en même temps, elles doivent trouver leur chemin dans la vie quotidienne des urbanistes et planificateurs.

Life-course socioeconomic environment and health risk behaviours: a multilevel small-area analysis of young-old persons in an urban neighbourhood in Lausanne, Switzerland

With a life expectancy at the age of 65 of around 20 years, damaging health risk behaviours of young-old adults have become a target for preventive actions. Such risk factors necessitate an accurate understanding of the present and past socioeconomic conditions associated with health risk behaviours. The aim of our study is to assess the impact of certain life events as well as economic and environmental factors on health risk behaviours. We included 1309 participants of the Lausanne Cohort Lc65+ aged 65-70 years and employed logistic regression analyses, with individuals nested within areas. The results illustrate the influences of socioeconomic factors from childhood to young-old age. Life experiences in adulthood and economic resources in young-old age are both associated with unfavourable health behaviours. Neighbourhood is a modest determinant as well, particularly regarding alcohol consumption. Therefore, prevention against health risk behaviours should focus on population subgroups defined on the basis of their socioeconomic and living contexts.

The Vi element. A transposon-like repeated DNA sequence interspersed in the vitellogenin locus of Xenopus laevis.

A repeated DNA element in Xenopus laevis is described that is present in about 7500 copies dispersed throughout the genome. It was first identified in the 5' flanking region of one vitellogenin gene and was therefore named the Vi element. Seven copies are present within the vitellogenin gene region, three of them within introns of the genes A1, A2 and B2, and the other four copies in the gene flanking regions. Four of these copies have been sequenced. The Vi element is bounded by a well-conserved 13 base-pair inverted repeat; in addition, it is flanked by a three base-pair direct repeat that appears to be site-specific. The length of these four copies varies from 112 to 469 base-pairs; however, sequence homology between the different copies is very high. Their structural characteristics suggest that length heterogeneity may have arisen by either unequal recombinations, deletions or tandem duplications. Altogether, the characteristics and properties of the Vi element indicate that it might represent a mobile genetic element. One of the four copies sequenced is inserted close (position -535) to the transcription initiation site of the vitellogenin gene B2 in a region otherwise showing considerable homology with the closely related gene B1. Nevertheless, the presence of the Vi element does not seem to influence significantly the estrogen-controlled expression of gene B2. In addition, three alleles of this gene created by length polymorphism in intron 3 and in the Vi element inserted near the transcription initiation site are described.

Psychiatric co-morbidities and cardiovascular risk factors in people with lifetime history of epilepsy of an urban community.

OBJECTIVES: Depression has been consistently reported in people with epilepsy. Several studies also suggest a higher burden of cardiovascular diseases. We therefore analysed psychosocial co-morbidity and cardiovascular risk factors in patients with a lifetime history of epilepsy in the PsyCoLaus study, a Swiss urban population-based assessment of mental health and cardiovascular risk factors in adults aged between 35 and 66 years. PATIENTS AND METHODS: Among 3719 participants in the PsyCoLaus study, we retrospectively identified those reporting at least 2 unprovoked seizures, defined as epilepsy. These subjects were compared to all others regarding psychiatric, social, and cardiovascular risk factors data using uni- and multivariable assessments. RESULTS: A significant higher need for social help (p<0.001) represented the only independent difference between 43 subjects with a history of epilepsy and 3676 controls, while a higher prevalence of psychiatric co-morbidities (p=0.015) and a lower prevalent marital status (p=0.01) were only significant on univariate analyses. Depression and cardio-vascular risk factors, as well as educational level and employment, were similar among the groups. CONCLUSIONS: This analysis confirms an increased prevalence of psychosocial burden in subjects with a lifetime history of epilepsy; conversely, we did not find a higher cardiovascular risk. The specific urban and geographical location of our cohort and the age span of the studied population may account for the differences from previous studies.

La fortuna di Luciano nel Rinascimento : il volgarizzamento del manoscritto Vaticano Chigiano L.VI.215 : edizione critica dei volgarizzamenti delle "Storie vere"

Résumé II lavoro verte sui volgarizzamenti quattro-cinquecenteschi di Luciano di Samosata, importante capitolo nella fortuna dell'autore greco, che diede l'avvio a quel vasto fenomeno chiamato "lucianesimo", esteso in Europa fino al XIX sec. In particolare fornisco l'edizione critica e commentata delle Storie vere volgarizzate, contenute nella prima, assai ampia (41 opuscoli), e per molto tempo unica, silloge lucianea in volgare, che ho datato a poco prima del 1480. Essa ci è giunta tramite un unico manoscritto, il Vaticano Chigiano L.VI.215, confezionato a Ferrara per Ercole I d'Este, nonché in almeno otto edizioni veneziane apparse fra il 1525 e il 1551. La princeps, da cui dipendono in vario modo tutte le edizioni successive, è pubblicata da Niccolò Zoppino. I1 ms. e le prime due edizioni (1525; 1527 Bindoni e Pasini) tacciono il nome del traduttore, che compare solo nell'edizione del 1529 (Zoppino): Niccolò Leoniceno (1428-1524), medico umanista e valente grecista, attivo a Ferrara dal 1464 al 1524, studioso e traduttore di Ippocrate e Galeno, editore di Aristotele e volgarizzatore di storici per Ercole d'Este. L'edizione ha richiesto uno studio preliminare sulle numerose traduzioni in latino e in volgare di Luciano, per valutare meglio le modalità della sua fortuna umanistica. Confrontando ms. e stampe, per le Storie vere si hanno due volgarizzamenti totalmente diversi, fin dal titolo: La vera historia nel ms., Le vere narrazioni nelle cinquecentine. Ma per l'ultimo quarto di testo, ms. e stampe in sostanza coincidono. La collazione ha coinvolto anche il testo greco (con gli apparati delle edizioni critiche) e la versione latina dell'umanista umbro Lilio Tifernate (1417/18-1486) risalente al 1439-43 ca., intitolata De veris narrationibus, di cui si hanno almeno tre redazioni d'autore; una quarta è invece dovuta probabilmente a Benedetto Bordon, che la inserì nella sua silloge latina di Luciano del 1494. Ho cosa stabilito che il volgarizzamento del ms. Chigiano, La vera historia, è stato eseguito direttamente dal greco, fatto eccezionale nel panorama delle traduzioni umanistiche, mentre quello a stampa, Le vere narrazioni, deriva dalla redazione Bordon del De veris narrationibus. La diversità dei titoli dipende dalle varianti dei codici greci utilizzati dai traduttori: il Vat. gr. 1323, o una sua copia, è utilizzato sia dal volgarizzatore del Chigiano, sia da Bordon, indipendentemente l'uno dall'altro; il Marc. gr. 434, o una sua copia, dal Tifernate. Il titolo latino mantenuto da Bordon risale al Tifernate. Per quanto riguarda l'attribuzione dei due volgarizzamenti, come già per altri due testi della silloge da me studiati (Lucio 01 Asino e Timone), anche per La vera historia del Chigiano è accettabile il nome di Niccolò Leoniceno, poiché: 1) essa è tradotta direttamente dal greco, correttamente e con buona resa in volgare, 2) Paolo Giovio -che conobbe di persona il Leoniceno -, negli Elogia veris clarorum virorum imaginibus apposita ricorda che i volgarizzamenti di Luciano e di Dione eseguiti dal Leoniceno piacquero molto ad Ercole d'Este, 3) nessuno nella prima metà del sec. XVI rivendica, per sé o per un suo maestro, il volgarizzamento di Luciano. Le vere narrazioni a stampa, tradotte dal latino del Bordon, dopo il 1494 e prima del 1525, per la parte che diverge dalla Vera historia rimangono invece anonime. Dato che si tratta di due volgarizzamenti distinti, ho allestito l'edizione a fronte dei due testi fin dove essi divergono, seguendo per l'uno il ms., per l'altro la princeps; per la parte finale, in cui confluiscono, mi baso invece sul manoscritto e relego in apparato le varianti più vistose della princeps (non è emerso un chiaro rapporto di dipendenza fra i due testimoni). Oltre all'apparato critico con le lezioni rifiutate, fornisco un commento con la giustificazione delle scelte e il confronto con i corrispondenti passi greci e latini.

Classification of urban multi-angular image sequences by aligning their manifolds

When dealing with multi-angular image sequences, problems of reflectance changes due either to illumination and acquisition geometry, or to interactions with the atmosphere, naturally arise. These phenomena interplay with the scene and lead to a modification of the measured radiance: for example, according to the angle of acquisition, tall objects may be seen from top or from the side and different light scatterings may affect the surfaces. This results in shifts in the acquired radiance, that make the problem of multi-angular classification harder and might lead to catastrophic results, since surfaces with the same reflectance return significantly different signals. In this paper, rather than performing atmospheric or bi-directional reflection distribution function (BRDF) correction, a non-linear manifold learning approach is used to align data structures. This method maximizes the similarity between the different acquisitions by deforming their manifold, thus enhancing the transferability of classification models among the images of the sequence.