88 resultados para New approaches

em Université de Lausanne, Switzerland


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This dissertation focuses on the strategies consumers use when making purchase decisions. It is organized in two main parts, one centering on descriptive and the other on applied decision making research. In the first part, a new process tracing tool called InterActive Process Tracing (IAPT) is pre- sented, which I developed to investigate the nature of consumers' decision strategies. This tool is a combination of several process tracing techniques, namely Active Information Search, Mouselab, and retrospective verbal protocol. To validate IAPT, two experiments on mobile phone purchase de- cisions were conducted where participants first repeatedly chose a mobile phone and then were asked to formalize their decision strategy so that it could be used to make choices for them. The choices made by the identified strategies correctly predicted the observed choices in 73% (Experiment 1) and 67% (Experiment 2) of the cases. Moreover, in Experiment 2, Mouselab and eye tracking were directly compared with respect to their impact on information search and strategy description. Only minor differences were found between these two methods. I conclude that IAPT is a useful research tool to identify choice strategies, and that using eye tracking technology did not increase its validity beyond that gained with Mouselab. In the second part, a prototype of a decision aid is introduced that was developed building in particular on the knowledge about consumers' decision strategies gained in Part I. This decision aid, which is called the InterActive Choice Aid (IACA), systematically assists consumers in their purchase decisions. To evaluate the prototype regarding its perceived utility, an experiment was conducted where IACA was compared to two other prototypes that were based on real-world consumer decision aids. All three prototypes differed in the number and type of tools they provided to facilitate the process of choosing, ranging from low (Amazon) to medium (Sunrise/dpreview) to high functionality (IACA). Overall, participants slightly preferred the prototype of medium functionality and this prototype was also rated best on the dimensions of understandability and ease of use. IACA was rated best regarding the two dimensions of ease of elimination and ease of comparison of alternatives. Moreover, participants choices were more in line with the normatively oriented weighted additive strategy when they used IACA than when they used the medium functionality prototype. The low functionality prototype was the least preferred overall. It is concluded that consumers can and will benefit from highly functional decision aids like IACA, but only when these systems are easy to understand and to use.

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Abstract Accurate characterization of the spatial distribution of hydrological properties in heterogeneous aquifers at a range of scales is a key prerequisite for reliable modeling of subsurface contaminant transport, and is essential for designing effective and cost-efficient groundwater management and remediation strategies. To this end, high-resolution geophysical methods have shown significant potential to bridge a critical gap in subsurface resolution and coverage between traditional hydrological measurement techniques such as borehole log/core analyses and tracer or pumping tests. An important and still largely unresolved issue, however, is how to best quantitatively integrate geophysical data into a characterization study in order to estimate the spatial distribution of one or more pertinent hydrological parameters, thus improving hydrological predictions. Recognizing the importance of this issue, the aim of the research presented in this thesis was to first develop a strategy for the assimilation of several types of hydrogeophysical data having varying degrees of resolution, subsurface coverage, and sensitivity to the hydrologic parameter of interest. In this regard a novel simulated annealing (SA)-based conditional simulation approach was developed and then tested in its ability to generate realizations of porosity given crosshole ground-penetrating radar (GPR) and neutron porosity log data. This was done successfully for both synthetic and field data sets. A subsequent issue that needed to be addressed involved assessing the potential benefits and implications of the resulting porosity realizations in terms of groundwater flow and contaminant transport. This was investigated synthetically assuming first that the relationship between porosity and hydraulic conductivity was well-defined. Then, the relationship was itself investigated in the context of a calibration procedure using hypothetical tracer test data. Essentially, the relationship best predicting the observed tracer test measurements was determined given the geophysically derived porosity structure. Both of these investigations showed that the SA-based approach, in general, allows much more reliable hydrological predictions than other more elementary techniques considered. Further, the developed calibration procedure was seen to be very effective, even at the scale of tomographic resolution, for predictions of transport. This also held true at locations within the aquifer where only geophysical data were available. This is significant because the acquisition of hydrological tracer test measurements is clearly more complicated and expensive than the acquisition of geophysical measurements. Although the above methodologies were tested using porosity logs and GPR data, the findings are expected to remain valid for a large number of pertinent combinations of geophysical and borehole log data of comparable resolution and sensitivity to the hydrological target parameter. Moreover, the obtained results allow us to have confidence for future developments in integration methodologies for geophysical and hydrological data to improve the 3-D estimation of hydrological properties.

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BACKGROUND: Increasingly, patients receiving methadone treatment are found in low threshold facilities (LTF), which provide needle exchange programmes in Switzerland. This paper identifies the characteristics of LTF attendees receiving methadone treatment (MT) compared with other LTF attendees (non-MT). METHODS: A national cross-sectional survey was conducted in 2006 over five consecutive days in all LTF (n=25). Attendees were given an anonymous questionnaire, collecting information on socio-demographic indicators, drug consumption, injection, methadone treatment, and self-reported HIV and HCV status. Univariate analysis and logistic regression were performed to compare MT to non-MT. The response rate was 66% (n=1128). RESULTS: MT comprised 57.6% of the sample. In multivariate analysis, factors associated with being on MT were older age (OR: 1.38), being female (OR: 1.60), having one's own accommodation (OR: 1.56), receiving public assistance (OR: 2.29), lifetime injecting (OR: 2.26), HIV-positive status (OR: 2.00), and having consumed cocaine during the past month (OR: 1.37); MT were less likely to have consumed heroin in the past month (OR: 0.76, not significant) and visited LTF less often on a daily basis (OR: 0.59). The number of injections during the past week was not associated with MT. CONCLUSIONS: More LTF attendees were in the MT group, bringing to light an underappreciated LTF clientele with specific needs. The MT group consumption profile may reflect therapeutic failure or deficits in treatment quality and it is necessary to acknowledge this and to strengthen the awareness of LTF personnel about potential needs of MT attendees to meet their therapeutic goals.

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The mammalian brain oscillates through three distinct global activity states: wakefulness, non-rapid eye movement (NREM) sleep and REM sleep. The regulation and function of these 'vigilance' or 'behavioural' states can be investigated over a broad range of temporal and spatial scales and at different levels of functional organization, i.e. from gene expression to memory, in single neurons, cortical columns or the whole brain and organism. We summarize some basic questions that have arisen from recent approaches in the quest for the functions of sleep. Whereas traditionally sleep was viewed to be regulated through top-down control mechanisms, recent approaches have emphasized that sleep is emerging locally and regulated in a use-dependent (homeostatic) manner. Traditional markers of sleep homeostasis, such as the electroencephalogram slow-wave activity, have been linked to changes in connectivity and plasticity in local neuronal networks. Thus waking experience-induced local network changes may be sensed by the sleep homeostatic process and used to mediate sleep-dependent events, benefiting network stabilization and memory consolidation. Although many questions remain unanswered, the available data suggest that sleep function will best be understood by an analysis which integrates sleep's many functional levels with its local homeostatic regulation.

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Despite increasing life expectancy, the age of onset of natural menopause has not significantly changed in recent decades. Thus, women spend about one-third of their lives in an estrogen-deficient state if untreated. There is a need for appropriate treatment of acute symptoms and prevention of the sequelae of chronic estrogen deficiency. International guidelines call for the use of the lowest effective hormone dosage for vasomotor symptom relief, the major indication for menopausal hormone therapy (MHT). In 2011, an oral continuous combined ultra-low-dose MHT was approved in Switzerland. This publication was elaborated by eight national menopause specialists and intends to review the advantages and disadvantages of ultra-low-dose MHT after the first years of its general use in Switzerland. It concludes that, for many women, ultra-low-dose MHT may be sufficient to decrease vasomotor symptoms, but not necessarily to guarantee fracture prevention.

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Today two largely new approaches are available for the treatment of clinical hypertension. First, captopril, an orally active angiotensin converting enzyme inhibitor, makes possible chronic blockade of the renin-angiotensin system. This compound, given alone or in combination with a diuretic, normalizes the blood pressure of most hypertensive patients. Unfortunately, because captopril may induce serious adverse effects the use of this inhibitor must be restricted to patients with high blood pressure refractory to conventional antihypertensive drugs. Second, compounds such as verapamil and nifedipine are capable of producing a marked vasodilating effect by inhibiting the entry of calcium into the vascular smooth muscle cells. However, the role of calcium channel blockers in the treatment of hypertensive disease awaits more precise definition.

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OBJECTIVE: Study of the uptake of new medical technologies provides useful information on the transfer of published evidence into usual practice. We conducted an audit of selected hospitals in three countries (Canada, France, and Switzerland) to identify clinical predictors of low-molecular-weight (LMW) heparin use and outpatient treatment, and to compare the pace of uptake of these new therapeutic approaches across hospitals. DESIGN: Historical review of medical records. SETTING AND PARTICIPANTS: We reviewed the medical records of 3043 patients diagnosed with deep vein thrombosis (DVT) in five Canadian, two French, and two Swiss teaching hospitals from 1994 to 1998. Measures. We explored independent clinical variables associated with LMW heparin use and outpatient treatment, and determined crude and adjusted rates of LMW heparin use and outpatient treatment across hospitals. RESULTS: For the years studied, the overall rates of LMW heparin use and outpatient treatment in the study sample were 34.1 and 15.8%, respectively, with higher rates of use in later years. Many comorbidities were negatively associated with outpatient treatment, and risk-adjusted rates of use of these new approaches varied significantly across hospitals. CONCLUSION: There has been a relatively rapid uptake of LMW heparins and outpatient treatment for DVT in their early years of availability, but the pace of uptake has varied considerably across hospitals and countries.

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There are strong research activities in the field of dysimmune neuropathies. In Guillain-Barré syndrome, new pathophysiological mechanisms have been demonstrated with the potential development of new therapies, a clinical prediction model is applicable early in the course of disease, and under investigation are new treatment strategies with adapted intravenous Ig dosages. In chronic inflammatory demyelinating polyneuropathies, current diagnostic tests are discussed but biomarkers are needed, such as histological changes or differential gene expression in nerve or skin biopsies. The exploration of novel therapeutic approaches including monoclonal antibodies and oral immunosuppressants, known from multiple sclerosis studies, suggests new approaches to treatment. Changes of the peripheral nerves on MR imaging are better known and the usefulness of serum antibodies is reviewed.

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La mousse haplobiontique Physcomitrella patens est utilisée comme système génétique modèle pour l'étude du développement des plantes. Cependant, l'absence d'un protocole efficace de transformation a constitué jusqu'à présent un gros désavantage méthodologique pour le développement futur de ce système expérimental. Les résultats présentés dans le premier chapitre relatent la mise au point d'un protocole de transformation basé sur la technique de transfert direct de gènes dans des protoplastes par précipitation au PEG. Un essai d'expression transitoire de gènes a été mis au point. Ce protocole a été adapté afin de permettre l'introduction in vivo d'anticorps dans des protoplastes. Le protocole modifié permet d'introduire simultanément du DNA et des IgG dans les cellules, et nous avons démontré que ces anticorps peuvent inactiver spécifiquement le produit d'un gène co-introduit (GUS), ainsi que certaines protéines impliquées dans des processus cellulaires (tubuline). Cet essai, baptisé "essai transitoire d'immuno-inactivation in vivo", devrait être directement applicable à d'autres protoplastes végétaux, et permettre l'élaboration de nouvelles stratégies dans l'étude de processus cellulaires. Le second chapitre est consacré aux expériences de transformation de la mousse avec des gènes conférant une résistance à des antibiotiques. Nos résultats démontrent que l'intégration de gènes de résistance dans le génome de P. patens est possible, mais que cet événement est rare. Il s'agit là néanmoins de la première démonstration d'une transformation génétique réussie de cet organisme. L'introduction de gènes de résistance aux antibiotiques dans les protoplastes de P. patens génère à haute fréquence des clones résistants instables. Deux classes de clones instables ont été identifiés. La caractérisation phénotypique, génétique et moléculaire de ces clones suggère fortement que les séquences transformantes sont concaténées pour former des structures de haut poids moléculaire, et que ces structures sont efficacement répliquées et maintenues dans les cellules résistantes en tant qu'éléments génétiques extrachromosomaux. Ce type de transformation nous permet d'envisager des expériences permettant l'identification des séquences génomiques impliquées dans la replication de l'ADN de mousse. Plusieurs lignées transgéniques ont été retransformées avec des plasmides portant des séquences homologues aux séquences intégrées dans le génome, mais conférant une résistance à un autre antibiotique. Les résultats présentés dans le troisième chapitre montrent que les fréquences de transformation intégrative dans les lignées transgéniques sont 10 fois plus élevées que dans la lignée sauvage, et que cette augmentation est associée à une coségrégation des gènes de résistance dans la plupart des clones testés. Ces résultats génétiques indiquent que l'intégration de séquences d'ADN étranger dans le génome de P. patens a lieu en moyenne 10 fois plus fréquemment par recombinaison homologue que par intégration aléatoire. Ce rapport homologue/aléatoire est 10000 fois supérieur aux rapports obtenus avec d'autres plantes, et fournit l'outil indispensable à la réalisation d'expériences de génétique inverse dans cet organisme à haplophase dominante. THESIS SUMMARY The moss Physcomitrella patens is used as a model genetic system to study plant development, taking advantage of the fact that the haploid gametophyte dominates in its life cycle. But further development of this model system was hampered by the lack of a protocol allowing the genetic transformation of this plant. We have developed a transformation protocol based on PEG-mediated direct gene transfer to protoplasts. Our data demonstrate that this procedure leads to the establishment of an efficient transient gene expression assay. A slightly modified protocol has been developed allowing the in vivo introduction of antibodies in moss protoplasts. Both DNA and IgGs can be loaded simultaneously, and specific antibodies can immunodeplete the product of an expression cassette (GUS) as well as proteins involved in cellular processes (tubulins). This assay, named transient in vivo immunodepletion assay, should be applicable to other plant protoplasts, and offers new approaches to study cellular processes. Transformations have been performed with bacterial plasmids carrying antibiotic resistance expression cassette. Our data demonstrate that integrative transformation occurs, but at low frequencies. This is the first demonstration of a successful genetic transformation of mosses. Resistant unstable colonies are recovered at high frequencies following transformation, and two different classes of unstable clones have been identified. Phenotypical, genetic and molecular characterisation of these clones strongly suggests that bacterial plasmids are concatenated to form high molecular arrays which are efficiently replicated and maintained as extrachromosomal elements in the resistant cells. Replicative transformation in P. patens should allow the design of experiments aimed at the identification of genomic sequences involved in moss DNA replication. Transgenic strains have been retransformed with bacterial plasmids carrying sequences homologous to the integrated transloci, but conferring resistance to another antibiotic. Our results demonstrate an order of magnitude increase of integrative transformation frequencies in transgenic strains as compared to wild-type, associated with cosegregation of the resistance genes in most of these double resistant transgenic strains. These observations provide strong genetic evidence that gene targeting occurs about ten times more often than random integration in the genome of P. patens. Such ratio of targeted to random integration is about 10 000 times higher than previous reports of gene targeting in plants, and provides the essential requirement for the development of efficient reverse genetics in the haplodiplobiontic P. patens.

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This book comprises two volumes and builds on the findings of the DISMEVAL project (Developing and validating DISease Management EVALuation methods for European health care systems), funded under the European Union's (EU) Seventh Framework Programme (FP7) (Agreement no. 223277). DISMEVAL was a three-year European collaborative project conducted between 2009 and 2011. It contributed to developing new research methods and generating the evidence base to inform decision-making in the field of chronic disease management evaluation (www.dismeval.eu). In this book, we report on the findings of the project's first phase, capturing the diverse range of contexts in which new approaches to chronic care are being implemented and evaluating the outcomes of these initiatives using an explicit comparative approach and a unified assessment framework. In this first volume, we describe the range of approaches to chronic care adopted in 12 European countries. By reflecting on the facilitators and barriers to implementation, we aim to provide policy-makers and practitioners with a portfolio of options to advance chronic care approaches in a given policy context.

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The investigation of perceptual and cognitive functions with non-invasive brain imaging methods critically depends on the careful selection of stimuli for use in experiments. For example, it must be verified that any observed effects follow from the parameter of interest (e.g. semantic category) rather than other low-level physical features (e.g. luminance, or spectral properties). Otherwise, interpretation of results is confounded. Often, researchers circumvent this issue by including additional control conditions or tasks, both of which are flawed and also prolong experiments. Here, we present some new approaches for controlling classes of stimuli intended for use in cognitive neuroscience, however these methods can be readily extrapolated to other applications and stimulus modalities. Our approach is comprised of two levels. The first level aims at equalizing individual stimuli in terms of their mean luminance. Each data point in the stimulus is adjusted to a standardized value based on a standard value across the stimulus battery. The second level analyzes two populations of stimuli along their spectral properties (i.e. spatial frequency) using a dissimilarity metric that equals the root mean square of the distance between two populations of objects as a function of spatial frequency along x- and y-dimensions of the image. Randomized permutations are used to obtain a minimal value between the populations to minimize, in a completely data-driven manner, the spectral differences between image sets. While another paper in this issue applies these methods in the case of acoustic stimuli (Aeschlimann et al., Brain Topogr 2008), we illustrate this approach here in detail for complex visual stimuli.

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Validation is arguably the bottleneck in the diffusion magnetic resonance imaging (MRI) community. This paper evaluates and compares 20 algorithms for recovering the local intra-voxel fiber structure from diffusion MRI data and is based on the results of the "HARDI reconstruction challenge" organized in the context of the "ISBI 2012" conference. Evaluated methods encompass a mixture of classical techniques well known in the literature such as diffusion tensor, Q-Ball and diffusion spectrum imaging, algorithms inspired by the recent theory of compressed sensing and also brand new approaches proposed for the first time at this contest. To quantitatively compare the methods under controlled conditions, two datasets with known ground-truth were synthetically generated and two main criteria were used to evaluate the quality of the reconstructions in every voxel: correct assessment of the number of fiber populations and angular accuracy in their orientation. This comparative study investigates the behavior of every algorithm with varying experimental conditions and highlights strengths and weaknesses of each approach. This information can be useful not only for enhancing current algorithms and develop the next generation of reconstruction methods, but also to assist physicians in the choice of the most adequate technique for their studies.

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Colorectal cancer (CRC) is one of the most intensively studied cancer types, partly because of its high prevalence but also because of the existence of its precursor lesions, tubular or villous adenomas, and more recently (sessile) serrated adenomas, which can be detected endoscopically and removed. The morphological steps in the adenoma-carcinoma sequence have been elucidated at a molecular level, which has been facilitated by identification of the genes responsible for familial intestinal cancer. However, apart from early detection of familial forms of CRC and its use in genetic counseling, until recently such detailed molecular knowledge has had little impact on clinical management of the disease. This has dramatically changed in the last decade. With drugs specifically targeting the epidermal growth factor receptor (EGFR) having been shown effective in CRC, mechanisms responsible for resistance have been explored. The finding that KRAS mutated cancers do not respond to anti-EGFR treatment has had a profound impact on clinical management and on molecular diagnostics of CRC. Additional genetic tests for mutations in NRAS, BRAF and PIK3CA contribute to determining who to treat, and others will follow. New therapies effective in patients with advanced CRC are under investigation. Remaining burning questions for optimal management are which patients will relapse after resection of the primary tumor and which patients will respond to the standard 5FU-oxaliplatin adjuvant treatment regimen. Predictive tests to address these issues are eagerly awaited. New classifications of CRC, based on molecular parameters, are emerging, and we will be confronted with new subtypes of CRC, for which the definition is based on combinations of gene expression patterns, chromosomal alterations, gene mutations and epigenetic characteristics. This will be instrumental in designing new approaches for therapy but will also be translated into molecular diagnostics. Both will contribute to improved clinical management of CRC.