Time-lapse and probabilistic inversion strategies for plane-wave electromagnetic data.

L'utilisation efficace des systèmes géothermaux, la séquestration du CO2 pour limiter le changement climatique et la prévention de l'intrusion d'eau salée dans les aquifères costaux ne sont que quelques exemples qui démontrent notre besoin en technologies nouvelles pour suivre l'évolution des processus souterrains à partir de la surface. Un défi majeur est d'assurer la caractérisation et l'optimisation des performances de ces technologies à différentes échelles spatiales et temporelles. Les méthodes électromagnétiques (EM) d'ondes planes sont sensibles à la conductivité électrique du sous-sol et, par conséquent, à la conductivité électrique des fluides saturant la roche, à la présence de fractures connectées, à la température et aux matériaux géologiques. Ces méthodes sont régies par des équations valides sur de larges gammes de fréquences, permettant détudier de manières analogues des processus allant de quelques mètres sous la surface jusqu'à plusieurs kilomètres de profondeur. Néanmoins, ces méthodes sont soumises à une perte de résolution avec la profondeur à cause des propriétés diffusives du champ électromagnétique. Pour cette raison, l'estimation des modèles du sous-sol par ces méthodes doit prendre en compte des informations a priori afin de contraindre les modèles autant que possible et de permettre la quantification des incertitudes de ces modèles de façon appropriée. Dans la présente thèse, je développe des approches permettant la caractérisation statique et dynamique du sous-sol à l'aide d'ondes EM planes. Dans une première partie, je présente une approche déterministe permettant de réaliser des inversions répétées dans le temps (time-lapse) de données d'ondes EM planes en deux dimensions. Cette stratégie est basée sur l'incorporation dans l'algorithme d'informations a priori en fonction des changements du modèle de conductivité électrique attendus. Ceci est réalisé en intégrant une régularisation stochastique et des contraintes flexibles par rapport à la gamme des changements attendus en utilisant les multiplicateurs de Lagrange. J'utilise des normes différentes de la norme l2 pour contraindre la structure du modèle et obtenir des transitions abruptes entre les régions du model qui subissent des changements dans le temps et celles qui n'en subissent pas. Aussi, j'incorpore une stratégie afin d'éliminer les erreurs systématiques de données time-lapse. Ce travail a mis en évidence l'amélioration de la caractérisation des changements temporels par rapport aux approches classiques qui réalisent des inversions indépendantes à chaque pas de temps et comparent les modèles. Dans la seconde partie de cette thèse, j'adopte un formalisme bayésien et je teste la possibilité de quantifier les incertitudes sur les paramètres du modèle dans l'inversion d'ondes EM planes. Pour ce faire, je présente une stratégie d'inversion probabiliste basée sur des pixels à deux dimensions pour des inversions de données d'ondes EM planes et de tomographies de résistivité électrique (ERT) séparées et jointes. Je compare les incertitudes des paramètres du modèle en considérant différents types d'information a priori sur la structure du modèle et différentes fonctions de vraisemblance pour décrire les erreurs sur les données. Les résultats indiquent que la régularisation du modèle est nécessaire lorsqu'on a à faire à un large nombre de paramètres car cela permet d'accélérer la convergence des chaînes et d'obtenir des modèles plus réalistes. Cependent, ces contraintes mènent à des incertitudes d'estimations plus faibles, ce qui implique des distributions a posteriori qui ne contiennent pas le vrai modèledans les régions ou` la méthode présente une sensibilité limitée. Cette situation peut être améliorée en combinant des méthodes d'ondes EM planes avec d'autres méthodes complémentaires telles que l'ERT. De plus, je montre que le poids de régularisation des paramètres et l'écart-type des erreurs sur les données peuvent être retrouvés par une inversion probabiliste. Finalement, j'évalue la possibilité de caractériser une distribution tridimensionnelle d'un panache de traceur salin injecté dans le sous-sol en réalisant une inversion probabiliste time-lapse tridimensionnelle d'ondes EM planes. Etant donné que les inversions probabilistes sont très coûteuses en temps de calcul lorsque l'espace des paramètres présente une grande dimension, je propose une stratégie de réduction du modèle ou` les coefficients de décomposition des moments de Legendre du panache de traceur injecté ainsi que sa position sont estimés. Pour ce faire, un modèle de résistivité de base est nécessaire. Il peut être obtenu avant l'expérience time-lapse. Un test synthétique montre que la méthodologie marche bien quand le modèle de résistivité de base est caractérisé correctement. Cette méthodologie est aussi appliquée à un test de trac¸age par injection d'une solution saline et d'acides réalisé dans un système géothermal en Australie, puis comparée à une inversion time-lapse tridimensionnelle réalisée selon une approche déterministe. L'inversion probabiliste permet de mieux contraindre le panache du traceur salin gr^ace à la grande quantité d'informations a priori incluse dans l'algorithme. Néanmoins, les changements de conductivités nécessaires pour expliquer les changements observés dans les données sont plus grands que ce qu'expliquent notre connaissance actuelle des phénomenès physiques. Ce problème peut être lié à la qualité limitée du modèle de résistivité de base utilisé, indiquant ainsi que des efforts plus grands devront être fournis dans le futur pour obtenir des modèles de base de bonne qualité avant de réaliser des expériences dynamiques. Les études décrites dans cette thèse montrent que les méthodes d'ondes EM planes sont très utiles pour caractériser et suivre les variations temporelles du sous-sol sur de larges échelles. Les présentes approches améliorent l'évaluation des modèles obtenus, autant en termes d'incorporation d'informations a priori, qu'en termes de quantification d'incertitudes a posteriori. De plus, les stratégies développées peuvent être appliquées à d'autres méthodes géophysiques, et offrent une grande flexibilité pour l'incorporation d'informations additionnelles lorsqu'elles sont disponibles. -- The efficient use of geothermal systems, the sequestration of CO2 to mitigate climate change, and the prevention of seawater intrusion in coastal aquifers are only some examples that demonstrate the need for novel technologies to monitor subsurface processes from the surface. A main challenge is to assure optimal performance of such technologies at different temporal and spatial scales. Plane-wave electromagnetic (EM) methods are sensitive to subsurface electrical conductivity and consequently to fluid conductivity, fracture connectivity, temperature, and rock mineralogy. These methods have governing equations that are the same over a large range of frequencies, thus allowing to study in an analogous manner processes on scales ranging from few meters close to the surface down to several hundreds of kilometers depth. Unfortunately, they suffer from a significant resolution loss with depth due to the diffusive nature of the electromagnetic fields. Therefore, estimations of subsurface models that use these methods should incorporate a priori information to better constrain the models, and provide appropriate measures of model uncertainty. During my thesis, I have developed approaches to improve the static and dynamic characterization of the subsurface with plane-wave EM methods. In the first part of this thesis, I present a two-dimensional deterministic approach to perform time-lapse inversion of plane-wave EM data. The strategy is based on the incorporation of prior information into the inversion algorithm regarding the expected temporal changes in electrical conductivity. This is done by incorporating a flexible stochastic regularization and constraints regarding the expected ranges of the changes by using Lagrange multipliers. I use non-l2 norms to penalize the model update in order to obtain sharp transitions between regions that experience temporal changes and regions that do not. I also incorporate a time-lapse differencing strategy to remove systematic errors in the time-lapse inversion. This work presents improvements in the characterization of temporal changes with respect to the classical approach of performing separate inversions and computing differences between the models. In the second part of this thesis, I adopt a Bayesian framework and use Markov chain Monte Carlo (MCMC) simulations to quantify model parameter uncertainty in plane-wave EM inversion. For this purpose, I present a two-dimensional pixel-based probabilistic inversion strategy for separate and joint inversions of plane-wave EM and electrical resistivity tomography (ERT) data. I compare the uncertainties of the model parameters when considering different types of prior information on the model structure and different likelihood functions to describe the data errors. The results indicate that model regularization is necessary when dealing with a large number of model parameters because it helps to accelerate the convergence of the chains and leads to more realistic models. These constraints also lead to smaller uncertainty estimates, which imply posterior distributions that do not include the true underlying model in regions where the method has limited sensitivity. This situation can be improved by combining planewave EM methods with complimentary geophysical methods such as ERT. In addition, I show that an appropriate regularization weight and the standard deviation of the data errors can be retrieved by the MCMC inversion. Finally, I evaluate the possibility of characterizing the three-dimensional distribution of an injected water plume by performing three-dimensional time-lapse MCMC inversion of planewave EM data. Since MCMC inversion involves a significant computational burden in high parameter dimensions, I propose a model reduction strategy where the coefficients of a Legendre moment decomposition of the injected water plume and its location are estimated. For this purpose, a base resistivity model is needed which is obtained prior to the time-lapse experiment. A synthetic test shows that the methodology works well when the base resistivity model is correctly characterized. The methodology is also applied to an injection experiment performed in a geothermal system in Australia, and compared to a three-dimensional time-lapse inversion performed within a deterministic framework. The MCMC inversion better constrains the water plumes due to the larger amount of prior information that is included in the algorithm. The conductivity changes needed to explain the time-lapse data are much larger than what is physically possible based on present day understandings. This issue may be related to the base resistivity model used, therefore indicating that more efforts should be given to obtain high-quality base models prior to dynamic experiments. The studies described herein give clear evidence that plane-wave EM methods are useful to characterize and monitor the subsurface at a wide range of scales. The presented approaches contribute to an improved appraisal of the obtained models, both in terms of the incorporation of prior information in the algorithms and the posterior uncertainty quantification. In addition, the developed strategies can be applied to other geophysical methods, and offer great flexibility to incorporate additional information when available.

From current immunosuppressive strategies to clinical tolerance of allografts.

In order to prevent allograft rejection, most current immunosuppressive drugs nonspecifically target T-cell activation, clonal expansion or differentiation into effector cells. Experimental models have shown that it is possible to exploit the central and peripheral mechanisms that normally maintain immune homeostasis and tolerance to self-antigens, in order to induce tolerance to alloantigens. Central tolerance results from intrathymic deletion of T cells with high avidity for thymically expressed antigens. Peripheral tolerance to nonself-molecules can be achieved by various mechanisms including deletion of activated/effector T cells, anergy induction and active regulation of effector T cells. In this article, we briefly discuss the pathways of allorecognition and their relevance to current immunosuppressive strategies and to the induction of transplantation tolerance (through haematopoietic mixed chimerism, depleting protocols, costimulatory blockade and regulatory T cells). We then review the prospect of clinical applicability of these protocols in solid organ transplantation.

Effect of different warm-up strategies on simulated laparoscopy performance: a randomized controlled trial.

OBJECTIVE: The objective of this trial was to assess which type of warm-up has the highest effect on virtual reality (VR) laparoscopy performance. The following warm-up strategies were applied: a hands-on exercise (group 1), a cognitive exercise (group 2), and no warm-up (control, group 3). DESIGN: This is a 3-arm randomized controlled trial. SETTING: The trial was conducted at the department of surgery of the University Hospital Basel in Switzerland. PARTICIPANTS: A total of 94 participants, all laypersons without any surgical or VR experience, completed the study. RESULTS: A total of 96 participants were randomized, 31 to group 1, 31 to group 2, and 32 to group 3. There were 2 postrandomization exclusions. In the multivariate analysis, we found no evidence that the intervention had an effect on VR performance as represented by 6 calculated subscores of accuracy, time, and path length for (1) camera manipulation and (2) hand-eye coordination combined with 2-handed maneuvers (p = 0.795). Neither the comparison of the average of the intervention groups (groups 1 and 2) vs control (group 3) nor the pairwise comparisons revealed any significant differences in VR performance, neither multivariate nor univariate. VR performance improved with increasing performance score in the cognitive exercise warm-up (iPad 3D puzzle) for accuracy, time, and path length in the camera navigation task. CONCLUSIONS: We were unable to show an effect of the 2 tested warm-up strategies on VR performance in laypersons. We are currently designing a follow-up study including surgeons rather than laypersons with a longer warm-up exercise, which is more closely related to the final task.

The so-called "Spanish model" - Tobacco industry strategies and its impact in Europe and Latin America

Background To demonstrate the tobacco industry rationale behind the "Spanish model" on non-smokers' protection in hospitality venues and the impact it had on some European and Latin American countries between 2006 and 2011. Methods Tobacco industry documents research triangulated against news and media reports. Results As an alternative to the successful implementation of 100% smoke-free policies, several European and Latin American countries introduced partial smoking bans based on the so-called "Spanish model", a legal framework widely advocated by parts of the hospitality industry with striking similarities to "accommodation programmes" promoted by the tobacco industry in the late 1990s. These developments started with the implementation of the Spanish tobacco control law (Ley 28/2005) in 2006 and have increased since then. Conclusion The Spanish experience demonstrates that partial smoking bans often resemble tobacco industry strategies and are used to spread a failed approach on international level. Researchers, advocates and policy makers should be aware of this ineffective policy.

Alternative reproductive strategies in Formica lugubris Zett (Hymenoptera, Formicidae)

A long term study on the reproductive strategies of Formica lugubris (Formica rufa group) has revealed many new important facts. Within a supercolony the sex-ratio is strongly female biased. Some of the sexuals mate on the nest surface, whereas others fly from the nest. Those sexuals participating in flights aggregate in particular meadow sites (mating places). On these places females attract males by releasing a sex pheromone.

Ammonia-induced toxicity in developing brain cells and strategies for neuroprotection

RESUME L'hyperammonémie est particulièrement toxique pour le cerveau des jeunes patients et entraîne une atrophie corticale, un élargissement des ventricules et des défauts de myélinisation, responsables de retards mentaux et développementaux. Les traitements actuels se limitent à diminuer le plus rapidement possible le taux d'ammoniaque dans l'organisme. L'utilisation de traitements neuroprotecteurs pendant les crises d'hyperammonémie permettrait de contrecarrer les effets neurologiques de l'ammoniaque et de prévenir l'apparition des troubles neurologiques. Au cours de cette thèse, nous avons testé trois stratégies de neuroprotection sur des cultures de cellules en agrégats issues du cortex d'embryons de rats et traitées à l'ammoniaque. - Nous avons tout d'abord testé si l'inhibition de protéines intracellulaires impliquées dans le déclenchement de la mort cellulaire pouvait protéger les cellules de la toxicité de l'ammoniaque. Nous avons montré que L'exposition à l'ammoniaque altérait la viabilité des neurones et des oligodendrocytes, et activait les caspases, la calpaïne et la kinase-5 dépendante des cyclines (cdk5) associée à son activateur p25. Alors que l'inhibition pharmacologique des caspases et de la calpaïne n'a pas permis de protéger les cellules cérébrales, un inhibiteur de la cdk5, appelé roscovitine, a réduit significativement la mort neuronale. L'inhibition de la cdk5 semble donc être une stratégie thérapeutique prometteuse pour prévenir 1es effets toxiques de 1'ammoniaque sur les neurones. - Nous avons ensuite étudié les mécanismes neuroprotecteurs déclenchés par le cerveau en réponse à la toxicité de l'ammoniaque. Nous avons montré que l'ammoniaque induisait la synthèse du facteur neurotrophique ciliaire (CNTF) par les astrocytes, via l'activation de la protéine kinase (MIAPK) p38. D'autre part, l'ajout de CNTF a permis de protéger les oligodendrocytes mais pas les neurones des cultures exposées à l'ammoniaque, via les voies de signalisations JAK/STAT, SAPK/JNK et c-jun. - Dans une dernière partie, nous avons voulu contrecarrer, par l'ajout de créatine, le déficit énergétique cérébral induit par l'ammoniaque. La créatine a permis de protéger des cellules de type astrocytaire mais pas les cellules cérébrales en agrégats. Cette thèse amis en évidence que les stratégies de neuroprotection chez les patients hyperammonémiques nécessiteront de cibler plusieurs voies de signalisation afin de protéger tous les types cellulaires du cerveau. Summary : In pediatric patients, hyperammonemia is mainly caused by urea cycle disorders or other inborn errors of metabolism, and leads to neurological injury with cortical atrophy, ventricular enlargement and demyelination. Children rescued from neonatal hyperammonemia show significant risk of mental retardation and developmental disabilities. The mainstay of therapy is limited to ammonia lowering through dietary restriction and alternative pathway treatments. However, the possibility of using treatments in a neuroprotective goal may be useful to improve the neurological outcome of patients. Thus, the main objective of this work was to investigate intracellular and extracellular signaling pathways altered by ammonia tonicity, so as to identify new potential therapeutic targets. Experiments were conducted in reaggregated developing brain cell cultures exposed to ammonia, as a model for the developing CNS of hyperammonemic young patients. Theses strategies of neuroprotection were tested: - The first strategy consisted in inhibiting intracellular proteins triggering cell death. Our data indicated that ammonia exposure altered the viability of neurons and oligodendrocytes. Apoptosis and proteins involved in the trigger of apoptosis, such as caspases, calpain and cyclin-dependent kinase-5 (cdk5) with its activator p25, were activated by ammonia exposure. While caspases and calpain inhibitors exhibited no protective effects, roscovitine, a cdk5 inhibitor, reduced ammonia-induced neuronal death. This work revealed that inhibition of cdk5 seems a promising strategy to prevent the toxic effects of ammonia on neurons. - The second strategy consisted in mimicking, the endogenous protective mechanisms triggered by ammonia in the brain. Ammonia exposure caused an increase of the ciliary neurotrophic factor (CNTF) expression, through the activation of the p38 mitogen-activated protein kinase (MAPK) in astrocytes. Treatment of cultures exposed to ammonia with exogenous CNTF demonstrated strong protective effects on oligodendrocytes but not on neurons. These protective effects seemed to involve JAK/STAT, SAPK/JNK and c-jun proteins. - The third strategy consisted in preventing the ammonia-induced cerebral energy deficit with creatine. Creatine treatment protected the survival of astrocyte-like cells through MAPKs pathways. In contrast, it had no protective effects in reaggregated developing brain cell cultures exposed to ammonia. The present study suggests that neuroprotective strategies should optimally be directed at multiple targets to prevent ammonia-induced alterations of the different brain cell types.

Ocular gene therapy: a review of nonviral strategies.

Along with viral vectors, non-viral strategies have been developed in order to efficiently deliver nucleic acids to ocular cells. During the last decade, we have observed that the outcome of these non-viral delivery systems depends on the genetic material used, the targeted tissue or cells, the expected effect duration, and the routes of administration. Assessment of efficiency has been evaluated in normal eyes or in animal models of ocular diseases. The chemical and physical methods that have been adapted for the delivery of nucleic acids to ocular tissues are highlighted and discussed in this review. Also, the results obtained with different non-viral strategies from their initial conception to their present development are summarized. At the present, selective targeting of ocular tissues and cells can be achieved using the most yielding route of administration to the eye in combination with an appropriate drug delivery technique.

Polarization strategies to improve the emission of a Si-based light source emitting at 1.55 um

We present a electroluminescence (EL) study of the Si-rich silicon oxide (SRSO) LEDs with and without Er3+ ions under different polarization schemes: direct current (DC) and pulsed voltage (PV). The power efficiency of the devices and their main optical limitations are presented. We show that under PV polarization scheme, the devices achieve one order of magnitude superior performance in comparison with DC. Time-resolved measurements have shown that this enhancement is met only for active layers in which annealing temperature is high enough (>1000 ◦C) for silicon nanocrystal (Si-nc) formation. Modeling of the system with rate equations has been done and excitation cross-sections for both Si-nc and Er3+ ions have been extracted.

Buy-and-Hold Strategies and Comonotonic Approximations

[cat] En aquest article estudiem estratègies “comprar i mantenir” per a problemes d’optimitzar la riquesa final en un context multi-període. Com que la riquesa final és una suma de variables aleatòries dependents, on cadascuna d’aquestes correspon a una quantitat de capital que s’ha invertit en un actiu particular en una data determinada, en primer lloc considerem aproximacions que redueixen l’aleatorietat multivariant al cas univariant. A continuació, aquestes aproximacions es fan servir per determinar les estratègies “comprar i mantenir” que optimitzen, per a un nivell de probabilitat donat, el VaR i el CLTE de la funció de distribució de la riquesa final. Aquest article complementa el treball de Dhaene et al. (2005), on es van considerar estratègies de reequilibri constant.

Smart Planning in Iowa - A Guide to Principles, Strategies and Policy Tools

This guide was created to aid communities in the process of smart planning and is organized around the 10 Smart Planning Principles signed into Iowa law in 2010. A general description of the concept, strategies for encouraging use, policy tools for implementation, and a current Iowa example are presented for each Principle. In addition, a brief list of resources is provided to help local governments, community organizations and citizen planners find information and ideas on community involvement and incorporation of smart planning concepts in every day decisions.

Security strategies and equilibria in multiobjetives matrix games

Multiobjective matrix games have been traditionally analyzed from two different points of view: equiibrium concepts and security strategies. This paper is based upon the idea that both players try to reach equilibrium points playing pairs of security strategies, as it happens in scalar matrix games. We show conditions guaranteeing the existence of equilibria in security strategies, named security equilibria

Optimal growth strategies when mortality and production rates are size-dependent

Pontryagin's maximum principle from optimal control theory is used to find the optimal allocation of energy between growth and reproduction when lifespan may be finite and the trade-off between growth and reproduction is linear. Analyses of the optimal allocation problem to date have generally yielded bang-bang solutions, i.e. determinate growth: life-histories in which growth is followed by reproduction, with no intermediate phase of simultaneous reproduction and growth. Here we show that an intermediate strategy (indeterminate growth) can be selected for if the rates of production and mortality either both increase or both decrease with increasing body size, this arises as a singular solution to the problem. Our conclusion is that indeterminate growth is optimal in more cases than was previously realized. The relevance of our results to natural situations is discussed.

2012 Iowa Drug Control Strategy

Drug use is a preventable behavior; drug addiction is a treatable disease; and a balanced approach of proven and promising prevention, treatment and enforcement is required to protect Iowans from drugs now and in the future. Drug abuse itself is a two-faceted problem, affected by both the available supply of and the demand for illegal drugs and other substances of abuse. Any strategy dealing with both the supply of and demand for drugs of abuse must be three-fold and involve these coordinated components: 1) Prevention strategies to discourage the initial human demand for drugs, 2) Treatment for those who already abuse or are addicted to drugs, in order to halt their drug-seeking behavior, and 3) Law enforcement actions to decrease the supply of illegal drugs and bring to treatment those who otherwise would not seek help. It is with these three approaches in mind that the Governor’s Office of Drug Control Policy presents the 2012 Iowa Drug Control Strategy. Mark J. Schouten Director, Governor’s Office of Drug Control Policy