Valoriser le géopatrimoine par la médiation indirecte et la visualisation des objets géomorphologiques

Résumé: Valoriser le géopatrimoine par la médiation indirecte et la visualisation des objets géomorphologiques Le géopatrimoine regroupe des objets géologiques lato sensu auxquels certaines valeurs sont attribuées, en fonction de leur intérêt pour la science, de leur rareté, de leurs particularités culturelles ou écologiques, etc. Valoriser le géopatrimoine signifie avant tout faire partager cette approche aux non-spécialistes, en expliquant ce qui fait la valeur de ces objets. Cette valorisation peut s'effectuer, entre autres, sous la forme d'une activité touristique et contribuer ainsi au développement régional. Faire comprendre l'origine, la singularité et la valeur des formes du relief implique le recours à une communication éducative, désignée par le terme de médiation. Les implications de la dimension éducative du processus, comme la prise en compte des connaissances et attentes du public, la création d'un environnement favorable à l'apprentissage ou l'attractivité du contenu, sont souvent négligées. Du point de vue conceptuel, un modèle de la médiation indirecte (c'est-à-dire au moyen de supports médiatiques) a été proposé et appliqué au développement empirique de produits de médiation et à leur évaluation. Ce modèle ne garantit pas la réussite de la communication éducative, mais contribue à créer un cadre favorable au processus. De plus, plusieurs lignes directrices pour le choix du type de média et sa mise en forme ont été définies sur la base d'une compilation de résultats de la psychologie cognitive sur l'usage des médias pour l'apprentissage. Des méthodes qualitatives et quantitatives variées ont été mobilisées : enquêtes par questionnaire ex situ et in situ, auprès des visiteurs de géomorphosites de montagne, réalisation de médias interactifs testés ensuite auprès de divers publics (parcours enregistré, pré- et post-questionnaires) et entretiens collectifs. Les résultats obtenus éclairent divers aspects de la problématique. L'étude du public a montré, par exemple, que le géotourisme possède un réel public parmi les visiteurs des sites de montagnes : trois-quarts d'entre eux expriment de l'intérêt pour des explications sur la géologie et l'évolution du paysage. Cette thèse a exploré ces aspects liés au processus d'apprentissage en se focalisant sur les médias visuels, surtout interactifs. La plupart des médias visuels couramment utilisés en géomorphologie ont été considérés. Le développement de versions interactives de ces médias sous forme d'applications web a fourni un aperçu concret des possibilités des nouvelles technologies. Les utilisateurs apprécient en particulier a richesse du contenu, le haut degré d'interactivité et la variété de ces applications. De tels médias incitent à visiter le site naturel et semblent aussi répondre aux intérêts de publics variés. Abstract: Geoheritage promotion through non-personal interpretation and visualisation of geomorphological features Geoheritage concerns all geological features lato sensu to which some values are attributed, according to their scientific interest, their rarity, their cultural or ecological dimensions, etc. Geoheritage promotion implies sharing this point of view with non-specialists, explaining what gives value to those objects. Geotourism is one of the many ways to achieve geoheritage promotion, while contributing also to regional development. In order to make non-specialists understand the origin, the specificity and the value of landforms, educational communication is needed, that is called interpretation (French: médiation). This education dimension has several, and often neglected, implications, like taking into account public's knowledge and expectations, creating a favourable learning environment, attractive design, etc. From the conceptual point of view, a model for non-personal interpretation has been proposed and applied for the empirical development and for the assessment of interpretive products. This model does not guarantee success of educational communication, but help creating a favourable environment for this process. Moreover, some guidelines were defined from a compilation of several results of cognitive psychology on media use for learning. They guide the choice of the kind of media and its design. Several qualitative and quantitative methods were applied: survey questionnaires ex situ and in situ by mountain geomorphosites visitors, interactive medias developed and then tested by different kinds of users (with usertracking, pre- and post-survey questionnaires), group interviews. The results answered different aspects of the research questions. Visitor surveys revealed for example that geotourism could attract many visitors of mountain areas: three quarters of them say they are interested in getting explanations about geology and landscape (in particular its dynamic dimensions). This thesis examined those aspects with a focus on visual medias, both statics and interactive. Most of currently used medias in geomorphology were considered. Interactive versions of those medias were developed in web applications; they gave a concrete overview on the opportunities that new technologies offer. The content richness, the high interaction level and the diversity of the applications are the most liked aspects by the users. Such medias drive to visit the natural site and seem to correspond to the interests of various kinds of publics. Zusammenfassung: Aufwertung des erdwissenschaftlichen Erbes durch mediale Vermittlung und Visualisierung von geomorphologischen Objekten Das erdwissenschaftliche Erbe besteht aus geologischen Gegebenheiten lato sensu, denen entsprechend ihrer Bedeutung für die Wissenschaft, ihrer Seltenheit, ihrer kulturellen oder ökologischen Besonderheiten usw. bestimmte Werte zugeordnet werden. Das erdwissenschaftliche Erbe aufzuwerten bedeutet in erster Linie, diesen Ansatz Nichtspezialisten näher zu bringen, indem ihnen erklärt wird, was den Wert dieser Gegebenheiten ausmacht. Dies kann etwa im Rahmen eines touristischen Angebots geschehen und so die regionale Entwicklung unterstützen. Um Entstehung, Besonderheit und Wert von Geländeformen verständlich zu machen, wird eine pädagogische Kommunikationsform verwendet, die als mediale Vermittlung (franz. médiation) bezeichnet wird. Die Bedeutung der pädagogischen Dimension des Vermittlungsprozesses wie etwa der Einbezug des Wissens und der Erwartungen des Publikums, die Gestaltung eines positiven Lernklimas oder die Attraktivität des Inhalts wird oft vernachlässigt. Auf konzeptueller Ebene wurde ein Modell der indirekten Interpretation erarbeitet (d. h. anhand von Medien), das bei der empirischen Entwicklung der Interpretationsprodukte und ihrer Evaluation Anwendung fand. Dieses Modell garantiert zwar nicht den Erfolg der pädagogischen Kommunikation. Es trägt aber dazu bei, einen für den Prozess günstigen Kontext zu schaffen. Des Weiteren wurden mehrere Richtlinien für die Wahl des Medientyps und dessen Ausgestaltung anhand einer Zusammenstellung von Resultaten der kognitiven Psychologie über den Gebrauch von Medien in Lernprozessen definiert. Es wurden verschiedene qualitative und quantitative Methoden eingesetzt: Befragung mittels Fragebogen der Besucher von geomorphologischen Geotopen im Gebirge - ex situ und in situ -, Erarbeitung von interaktiven Medien, die anschliessend anhand verschiedener Zielgruppen gestestet wurden (Aufnahme des Besuchparcours, Vor- und Nachfragebögen) sowie kollektive Interviews. Die Ergebnisse geben Aufschluss zu verschiedenen Aspekten der Fragestellung. Die Befragung des Publikums hat zum Beispiel deutlich gemacht, dass der Geotourismus unter den Besuchern von Berggebieten tatsächlich auf eine Nachfrage stösst: drei Viertel von ihnen zeigen ein Interesse für Erläuterungen zur Geologie und der Landschaftsentwicklung. Die vorliegende Doktorarbeit hat die genannten Aspekte der Lernprozesse untersucht, wobei der Fokus auf visuellen, insbesondere interaktiven Medien lag. Die meisten gängigen visuellen Medien der Geomorphologie wurden berücksichtigt. Die Entwicklung von interaktiven Versionen dieser Medien in Form von Web-Anwendungen hat die Möglichkeiten der neuen Technologien veranschaulicht. Die Benutzer schätzten insbesondere die Vielfalt des Inhalts, die hohe Interaktivität und die Diversität dieser Anwendungen. Solche Medien laden dazu ein, ein Naturgebiet zu besuchen und scheinen den Interessen der verschiedenen Publikumsgruppen entgegenzukommen.

The Arts (Music, Arts&Crafts and Drama) as a procedure for learning pre-school content: Grupo Edebé Project

There is nothing as amazing and fascinating as children learning process. Between 0 and 6 years old, a child brain develops in a waythat will never be repeated. At this age, children are eager to discover and they have great potential of active and affective life.Because of this, their learning capacity in this period is incalculable. (Jordan-Decarbo y Nelson, 2002; Wild, 1999).Pre-school Education is a unique and special stage, with self identity, which aims are:attending children as a whole,motivate them to learn,give them an affective and stable environment in which they can grow up and get to be balanced and confident people and inwhich they can relate to others, learn, enjoy and be happy.Arts, Music, Visual Arts and Drama (Gardner, 1994) can provide a framework of special, even unique, personal expression.With the aim of introducing qualitative improvements in the education of children and to ensure their emotional wellbeing, and havingnoticed that teachers had important needs and concerns as regards to diversity in their student groups, we developed a programbased on the detection of needs and concerns explained by professionals in education.This program of Grupo edebé, object of our research, is a multicultural, interdisciplinary and globalizing project the aims of which are:developing children's talent and personality,keeping their imagination and creativity and using these as a learning resource,promoting reasoning, favouring expression and communication,providing children with the tools to manage their emotions,and especially, introducing Arts as a procedure to increase learning.We wanted to start the research by studying the impact (Brice, 2003) that this last point had on the learning of five-year-old childrenschooled in multicultural environments.Therefore, the main goal of the research was the assessment of the implementation of a child education programme attending todiversity in a population of five-year-old children, specifically in the practice of procedures based on the use of Arts (music, arts andcrafts and theatre) as a vehicle or procedure for learning contents in Pre-school stage.Because children emotional welfare was a subject of our concern, and bearing in mind that the affective aspects are of vitalimportance for learning and child development (Parke and Gauvain, 2009), Grupo Edebé has also evaluated the starting, evolving andfinal impact in five-year-old children given that they finish Pre-school education at that age.

Glucose-dependent insulinotropic polypeptide receptor knockout mice are impaired in learning, synaptic plasticity, and neurogenesis.

Glucose-dependent insulinotropic polypeptide (GIP) is a key incretin hormone, released from intestine after a meal, producing a glucose-dependent insulin secretion. The GIP receptor (GIPR) is expressed on pyramidal neurons in the cortex and hippocampus, and GIP is synthesized in a subset of neurons in the brain. However, the role of the GIPR in neuronal signaling is not clear. In this study, we used a mouse strain with GIPR gene deletion (GIPR KO) to elucidate the role of the GIPR in neuronal communication and brain function. Compared with C57BL/6 control mice, GIPR KO mice displayed higher locomotor activity in an open-field task. Impairment of recognition and spatial learning and memory of GIPR KO mice were found in the object recognition task and a spatial water maze task, respectively. In an object location task, no impairment was found. GIPR KO mice also showed impaired synaptic plasticity in paired-pulse facilitation and a block of long-term potentiation in area CA1 of the hippocampus. Moreover, a large decrease in the number of neuronal progenitor cells was found in the dentate gyrus of transgenic mice, although the numbers of young neurons was not changed. Together the results suggest that GIP receptors play an important role in cognition, neurotransmission, and cell proliferation.

Learning from failure - rationale and design for a study about discontinuation of randomized trials (DISCO study).

BACKGROUND: Randomized controlled trials (RCTs) may be discontinued because of apparent harm, benefit, or futility. Other RCTs are discontinued early because of insufficient recruitment. Trial discontinuation has ethical implications, because participants consent on the premise of contributing to new medical knowledge, Research Ethics Committees (RECs) spend considerable effort reviewing study protocols, and limited resources for conducting research are wasted. Currently, little is known regarding the frequency and characteristics of discontinued RCTs. METHODS/DESIGN: Our aims are, first, to determine the prevalence of RCT discontinuation for specific reasons; second, to determine whether the risk of RCT discontinuation for specific reasons differs between investigator- and industry-initiated RCTs; third, to identify risk factors for RCT discontinuation due to insufficient recruitment; fourth, to determine at what stage RCTs are discontinued; and fifth, to examine the publication history of discontinued RCTs.We are currently assembling a multicenter cohort of RCTs based on protocols approved between 2000 and 2002/3 by 6 RECs in Switzerland, Germany, and Canada. We are extracting data on RCT characteristics and planned recruitment for all included protocols. Completion and publication status is determined using information from correspondence between investigators and RECs, publications identified through literature searches, or by contacting the investigators. We will use multivariable regression models to identify risk factors for trial discontinuation due to insufficient recruitment. We aim to include over 1000 RCTs of which an anticipated 150 will have been discontinued due to insufficient recruitment. DISCUSSION: Our study will provide insights into the prevalence and characteristics of RCTs that were discontinued. Effective recruitment strategies and the anticipation of problems are key issues in the planning and evaluation of trials by investigators, Clinical Trial Units, RECs and funding agencies. Identification and modification of barriers to successful study completion at an early stage could help to reduce the risk of trial discontinuation, save limited resources, and enable RCTs to better meet their ethical requirements.

The neuronal monocarboxylate transporter MCT2: its regulation by BDNF and its role in learning and memory

Glucose has been considered the major, if not the exclusive, energy substrate for the brain. But under certain physiological and pathological conditions other substrates, namely monocarboxylates (lactate, pyruvate and ketone bodies), can contribute significantly to satisfy brain energy demands. These monocarboxylates need to be transported across the blood-brain barrier or out of astrocytes into the extracellular space and taken up into neurons. It has been shown that monocarboxylates are transported by a family of proton-linked transporters called monocarboxylate transporters (MCTs). In the central nervous system, MCT2 is the predominant neuronal isoform and little is known about the regulation of its expression. Noradrenaline (NA), insulin and IGF-1 were previously shown to enhance the expression of MCT2 in cultured cortical neurons via a translational mechanism. Here we demonstrate that the well known brain neurotrophic factor BDNF enhances MCT2 protein expression in cultured cortical neurons and in synaptoneurosome preparations in a time- and concentrationdependent manner without affecting MCT2 mRNA levels. We observed that BDNF induced MCT2 expression by activation of MAPK as well as PI3K/Akt/mTOR signaling pathways. Furthermore, we investigated the possible post-transcriptional regulation of MCT2 expression by a neuronal miRNA. Then, we demonstrated that BDNF enhanced MCT2 expression in the hippocampus in vivo, in parallel with some post-synaptic proteins such as PSD95 and AMPA receptor GluR2/3 subunits, and two immediate early genes Arc and Zif268 known to be expressed in conditions related to synaptic plasticity. In the last part, we demonstrated in vivo that a downregulation of hippocampal MCT2 via silencing with an appropriate lentiviral vector in mice caused an impairment of working memory without reference memory deficit. In conclusion, these results suggest that regulation of neuronal monocarboxylate transporter MCT2 expression could be a key event in the context of synaptic plasticity, allowing an adequate energy substrate supply in situations of altered synaptic efficacy. - Le glucose représente le substrat énergétique majeur pour le cerveau. Cependant, dans certaines conditions physiologiques ou pathologiques, le cerveau a la capacité d'utiliser des substrats énergéiques appartenant à la classe des monocarboxylates (lactate, pyruvate et corps cétoniques) afin de satisfaire ses besoins énergétiques. Ces monocarboxylates doivent être transportés à travers la barrière hématoencéphalique mais aussi hors des astrocytes vers l'espace extracellulaire puis re-captés par les neurones. Leur transport est assuré par une famillle de transporteurs aux monocarboxylates (MCTs). Dans le système nerveux central, les neurones expriment principalement l'isoforme MCT2 mais peu d'informations sont disponibles concernant la régulation de son expression. Il a été montré que la noradrénaline, l'insuline et l'IGF-1 induisent l'expression de MCT2 dans des cultures de neurones corticaux par un mécanisme traductionnel. Dans cette étude nous démontrons dans un premier temps que le facteur neurotrophique BDNF augmente l'expression de MCT2 à la fois dans des cultures de neurones corticaux et dans les préparations synaptoneurosomales selon un décours temporel et une gamme de concentrations propre. Aucun changement n'a été observé concernant les niveaux d'ARNm de MCT2. Nous avons observé que le BDNF induisait l'expression de MCT2 par l'activation simultanée des voies de signalisation MAPK et PI3K/Akt/mTOR. De plus, nous nous sommes intéressés à une potentielle régulation par les micro-ARNs de la synthèse de MCT2. Ensuite, nous avons démontré que le BDNF induit aussi l'expression de MCT2 dans l'hippocampe de la souris en parallèle avec d'autres protéines post-synaptiques telles que PSD95 et GluR2/3 et avec deux « immediate early genes » tels que Arc et Zif268 connus pour être exprimés dans des conditions de plasticité synaptique. Dans un dernier temps, nous avons démontré qu'une diminution d'expression de MCT2 induite par le biais d'un siRNA exprimé via un vecteur lentiviral dans l'hippocampe de souris générait des déficits de mémoire de travail sans affecter la mémoire de référence. En conclusion, ces résultats nous suggèrent que le transporteur aux monocarboxylates neuronal MCT2 serait essentiel pour l'apport énergétique du lactate pour les neurones dans des conditions de haute activité neuronale comme c'est le cas pendant les processus de plasticité synaptique.

Audit report on the Muscatine Agricultural Learning Center for the year ended December 31, 2013

Audit report on the Muscatine Agricultural Learning Center for the year ended December 31, 2013

Data-driven topo-climatic mapping with machine learning methods

Automatic environmental monitoring networks enforced by wireless communication technologies provide large and ever increasing volumes of data nowadays. The use of this information in natural hazard research is an important issue. Particularly useful for risk assessment and decision making are the spatial maps of hazard-related parameters produced from point observations and available auxiliary information. The purpose of this article is to present and explore the appropriate tools to process large amounts of available data and produce predictions at fine spatial scales. These are the algorithms of machine learning, which are aimed at non-parametric robust modelling of non-linear dependencies from empirical data. The computational efficiency of the data-driven methods allows producing the prediction maps in real time which makes them superior to physical models for the operational use in risk assessment and mitigation. Particularly, this situation encounters in spatial prediction of climatic variables (topo-climatic mapping). In complex topographies of the mountainous regions, the meteorological processes are highly influenced by the relief. The article shows how these relations, possibly regionalized and non-linear, can be modelled from data using the information from digital elevation models. The particular illustration of the developed methodology concerns the mapping of temperatures (including the situations of Föhn and temperature inversion) given the measurements taken from the Swiss meteorological monitoring network. The range of the methods used in the study includes data-driven feature selection, support vector algorithms and artificial neural networks.

Kernel-based Mapping of Meteorological Fields in Complex Orography

Due to the advances in sensor networks and remote sensing technologies, the acquisition and storage rates of meteorological and climatological data increases every day and ask for novel and efficient processing algorithms. A fundamental problem of data analysis and modeling is the spatial prediction of meteorological variables in complex orography, which serves among others to extended climatological analyses, for the assimilation of data into numerical weather prediction models, for preparing inputs to hydrological models and for real time monitoring and short-term forecasting of weather.In this thesis, a new framework for spatial estimation is proposed by taking advantage of a class of algorithms emerging from the statistical learning theory. Nonparametric kernel-based methods for nonlinear data classification, regression and target detection, known as support vector machines (SVM), are adapted for mapping of meteorological variables in complex orography.With the advent of high resolution digital elevation models, the field of spatial prediction met new horizons. In fact, by exploiting image processing tools along with physical heuristics, an incredible number of terrain features which account for the topographic conditions at multiple spatial scales can be extracted. Such features are highly relevant for the mapping of meteorological variables because they control a considerable part of the spatial variability of meteorological fields in the complex Alpine orography. For instance, patterns of orographic rainfall, wind speed and cold air pools are known to be correlated with particular terrain forms, e.g. convex/concave surfaces and upwind sides of mountain slopes.Kernel-based methods are employed to learn the nonlinear statistical dependence which links the multidimensional space of geographical and topographic explanatory variables to the variable of interest, that is the wind speed as measured at the weather stations or the occurrence of orographic rainfall patterns as extracted from sequences of radar images. Compared to low dimensional models integrating only the geographical coordinates, the proposed framework opens a way to regionalize meteorological variables which are multidimensional in nature and rarely show spatial auto-correlation in the original space making the use of classical geostatistics tangled.The challenges which are explored during the thesis are manifolds. First, the complexity of models is optimized to impose appropriate smoothness properties and reduce the impact of noisy measurements. Secondly, a multiple kernel extension of SVM is considered to select the multiscale features which explain most of the spatial variability of wind speed. Then, SVM target detection methods are implemented to describe the orographic conditions which cause persistent and stationary rainfall patterns. Finally, the optimal splitting of the data is studied to estimate realistic performances and confidence intervals characterizing the uncertainty of predictions.The resulting maps of average wind speeds find applications within renewable resources assessment and opens a route to decrease the temporal scale of analysis to meet hydrological requirements. Furthermore, the maps depicting the susceptibility to orographic rainfall enhancement can be used to improve current radar-based quantitative precipitation estimation and forecasting systems and to generate stochastic ensembles of precipitation fields conditioned upon the orography.