Se former à l'entretien motivationnel pour aider ses patients à changer: Les étudiants en médecine le confirment [Learning motivational interviewing to help patients change their health-related behaviors: medical students confirm it].

At the Lausanne University, 5th year medical students were trained in Motivational interviewing (MI). Eight hours of training improved their competence in the use of this approach. This experience supports the implementation of MI training in medical schools. Motivational interviewing allows the health professional to actively involve the patient in this behavior change process (drinking, smoking, diet, exercise, medication adherence, etc.), by encouraging reflection and reinforcing personal motivation and resources.

How Much Does It Cost? Optimization of Costs in Sequence Analysis of Social Science Data

One major methodological problem in analysis of sequence data is the determination of costs from which distances between sequences are derived. Although this problem is currently not optimally dealt with in the social sciences, it has some similarity with problems that have been solved in bioinformatics for three decades. In this article, the authors propose an optimization of substitution and deletion/insertion costs based on computational methods. The authors provide an empirical way of determining costs for cases, frequent in the social sciences, in which theory does not clearly promote one cost scheme over another. Using three distinct data sets, the authors tested the distances and cluster solutions produced by the new cost scheme in comparison with solutions based on cost schemes associated with other research strategies. The proposed method performs well compared with other cost-setting strategies, while it alleviates the justification problem of cost schemes.

Hypotension orthostatique: à quoi penser et que faire? [Orthostatic hypotension: what to think of it and what to do?].

Orthostatic hypotension is encountered frequently in everyday practice. It is often very disabling because of its troublesome symptomalogy. Orthostatic hypotension may be due to several causes and can be easily diagnosed by measuring blood pressure and heart rate after 3 minutes in upright posture. Its treatment comprises in all cases non-pharmacological interventions which can be associated whenever required by medications, in particular midodrine and fludrocortisone.

Molecular epidemiology of clonal diploids: a quick overview and a short DIY (do it yourself) notice.

In this short review we report the basic notions needed for understanding the population genetics of clonal diploids. We focus on the consequences of clonality on the distribution of genetic diversity within individuals, between individuals and between populations. We then summarise how to detect clonality in mainly sexual populations, conversely, how to detect sexuality in mainly clonal populations and also how genetic differentiation between populations is affected by clonality in diploids. This information is then used for building recipes on how to analyse and interpret genetic polymorphism data in molecular epidemiology studies of clonal diploids.

Alcohol may not cause partner violence but it seems to make it worse: a cross national comparison of the relationship between alcohol and severity of partner violence.

This study assesses whether severity of physical partner aggression is associated with alcohol consumption at the time of the incident, and whether the relationship between drinking and aggression severity is the same for men and women and across different countries. National or large regional general population surveys were conducted in 13 countries as part of the GENACIS collaboration. Respondents described the most physically aggressive act done to them by a partner in the past 2 years, rated the severity of aggression on a scale of 1 to 10, and reported whether either partner had been drinking when the incident occurred. Severity ratings were significantly higher for incidents in which one or both partners had been drinking compared to incidents in which neither partner had been drinking. The relationship did not differ significantly for men and women or by country. We conclude that alcohol consumption may serve to potentiate violence when it occurs, and this pattern holds across a diverse set of cultures. Further research is needed that focuses explicitly on the nature of alcohol's contribution to intimate partner aggression. Prevention needs to address the possibility of enhanced dangers of intimate partner violence when the partners have been drinking and eliminate any systemic factors that permit alcohol to be used as an excuse. Clinical services for perpetrators and victims of partner violence need to address the role of drinking practices, including the dynamics and process of aggressive incidents that occur when one or both partners have been drinking.

Firm's network capability and innovation performance: evidences from China hi-tech industry

ABSTRACT : A firm's competitive advantage can arise from internal resources as well as from an interfirm network. -This dissertation investigates the competitive advantage of a firm involved in an innovation network by integrating strategic management theory and social network theory. It develops theory and provides empirical evidence that illustrates how a networked firm enables the network value and appropriates this value in an optimal way according to its strategic purpose. The four inter-related essays in this dissertation provide a framework that sheds light on the extraction of value from an innovation network by managing and designing the network in a proactive manner. The first essay reviews research in social network theory and knowledge transfer management, and identifies the crucial factors of innovation network configuration for a firm's learning performance or innovation output. The findings suggest that network structure, network relationship, and network position all impact on a firm's performance. Although the previous literature indicates that there are disagreements about the impact of dense or spare structure, as well as strong or weak ties, case evidence from Chinese software companies reveals that dense and strong connections with partners are positively associated with firms' performance. The second essay is a theoretical essay that illustrates the limitations of social network theory for explaining the source of network value and offers a new theoretical model that applies resource-based view to network environments. It suggests that network configurations, such as network structure, network relationship and network position, can be considered important network resources. In addition, this essay introduces the concept of network capability, and suggests that four types of network capabilities play an important role in unlocking the potential value of network resources and determining the distribution of network rents between partners. This essay also highlights the contingent effects of network capability on a firm's innovation output, and explains how the different impacts of network capability depend on a firm's strategic choices. This new theoretical model has been pre-tested with a case study of China software industry, which enhances the internal validity of this theory. The third essay addresses the questions of what impact network capability has on firm innovation performance and what are the antecedent factors of network capability. This essay employs a structural equation modelling methodology that uses a sample of 211 Chinese Hi-tech firms. It develops a measurement of network capability and reveals that networked firms deal with cooperation between, and coordination with partners on different levels according to their levels of network capability. The empirical results also suggests that IT maturity, the openness of culture, management system involved, and experience with network activities are antecedents of network capabilities. Furthermore, the two-group analysis of the role of international partner(s) shows that when there is a culture and norm gap between foreign partners, a firm must mobilize more resources and effort to improve its performance with respect to its innovation network. The fourth essay addresses the way in which network capabilities influence firm innovation performance. By using hierarchical multiple regression with data from Chinese Hi-tech firms, the findings suggest that there is a significant partial mediating effect of knowledge transfer on the relationships between network capabilities and innovation performance. The findings also reveal that the impacts of network capabilities divert with the environment and strategic decision the firm has made: exploration or exploitation. Network constructing capability provides a greater positive impact on and yields more contributions to innovation performance than does network operating capability in an exploration network. Network operating capability is more important than network constructing capability for innovative firms in an exploitation network. Therefore, these findings highlight that the firm can shape the innovation network proactively for better benefits, but when it does so, it should adjust its focus and change its efforts in accordance with its innovation purposes or strategic orientation.

Mechanisms of functional T-cell deficiency in melanoma patients

SUMMARYAs a result of evolution, humans are equipped with an intricate but very effective immune system with multiple defense mechanisms primarily providing protection from infections. This system comprises various cell types, including T-lymphocytes, which are able to recognize and directly kill infected cells. T-cells are not only able to recognize cells carrying foreign antigens, such as virus-infected cells, but also autologous cells. In autoimmune diseases, e.g. multiple sclerosis, T- cells attack autologous cells and cause the destruction of healthy tissue. To prevent aberrant immune reactions, but also to prevent damage caused by an overreacting immune response against foreign targets, there are multiple systems in place that attenuate T-cell responses.By contrast, anti-self immune responses may be highly welcome in malignant diseases. It has been demonstrated that activated T-cells are able to recognize and lyse tumor cells, and may even lead to successful cure of cancer patients. Through vaccination, and especially with the help of powerful adjuvants, frequencies of tumor-reactive T-cells can be augmented drastically. However, the efficacy of anti-tumor responses is diminished by the same checks and balances preventing the human body from harm induced by overly activated T-cells in infections.In the context of my thesis, we studied spontaneous and vaccination induced T-cell responses in melanoma patients. The aim of my studies was to identify situations of T-cell suppression, and pinpoint immune suppressive mechanisms triggered by malignant diseases. We applied recently developed techniques such as multiparameter flow cytometry and gene arrays, allowing the characterization of tumor-reactive T-cells directly ex vivo. In our project, we determined functional capabilities, protein expression, and gene expression profiles of small numbers of T- cells from metastatic tissue and blood obtained from healthy donors and melanoma patients. We found evidence that tumor-specific T-cells were functionally efficient effector cells in peripheral blood, but severely exhausted in metastatic tissue. Our molecular screening revealed the upregulation of multiple inhibitory receptors on tumor-specific T-cells, likely implied in T-cell exhaustion. Functional attenuation of tumor-specific T-cells via inhibitory receptors depended on the anatomical location and immune suppressive mechanisms in the tumor microenvironment, which appeared more important than self-tolerance and anergy mechanisms. Our data reveal novel potential targets for cancer therapy, and contribute to the understanding of cancer biology.RÉSUMÉAu cours de l'évolution, les êtres humains se sont vus doter d'un système immunitaire complexe mais très efficace, avec de multiples mécanismes de défense, principalement contre les infections. Ce système comprend différents types de cellules, dont les lymphocytes Τ qui sont capables de reconnaître et de tuer directement des cellules infectées. Les cellules Τ reconnaissent non seulement des cellules infectées par des virus, mais également des cellules autologues. Dans le cas de maladies auto-immunes, comme par exemple la sclérose en plaques, les cellules Τ s'attaquent à des cellules autologues, ce qui engendre la destruction des tissus sains. Il existe plusieurs systèmes de contrôle des réponses Τ afin de minimiser les réactions immunitaires aberrantes et d'empêcher les dégâts causés par une réponse immunitaire trop importante contre une cible étrangère.Dans le cas de maladies malignes en revanche, une réponse auto-immune peut être avantageuse. Il a été démontré que les lymphocytes Τ étaient également capables de reconnaître et de tuer des cellules tumorales, pouvant même mener à la guérison d'un patient cancéreux. La vaccination peut augmenter fortement la fréquence des cellules Τ réagissant contre une tumeur, particulièrement si elle est combinée avec des adjuvants puissants. Cependant, l'efficacité d'une réponse antitumorale est atténuée par ces mêmes mécanismes de contrôle qui protègent le corps humain des dégâts causés par des cellules Τ activées trop fortement pendant une infection.Dans le cadre de ma recherche de thèse, nous avons étudié les réponses Τ spontanées et induites par la vaccination dans des patients atteints du mélanome. Le but était d'identifier des conditions dans lesquelles les réponses des cellules Τ seraient atténuées, voire inhibées, et d'élucider les mécanismes de suppression immunitaire engendrés par le cancer. Par le biais de techniques nouvelles comprenant la cryométrie de flux et l'analyse globale de l'expression génique à partir d'un nombre minimal de cellules, il nous fut possible de caractériser des cellules Τ réactives contre des tumeurs directement ex vivo. Nous avons examiné les profiles d'expression de gènes et de protéines, ainsi que les capacités fonctionnelles des cellules Τ isolées à partir de tissus métastatiques et à partir du sang de patients. Nos résultats indiquent que les cellules Τ spécifiques aux antigènes tumoraux sont fonctionnelles dans le sang, mais qu'elles sont épuisées dans les tissus métastatiques. Nous avons découvert dans les cellules Τ antitumorales une augmentation de l'expression des récepteurs inhibiteurs probablement impliqués dans l'épuisement de ces lymphocytes T. Cette expression particulière de récepteurs inhibiteurs dépendrait donc de leur localisation anatomique et des mécanismes de suppression existant dans l'environnement immédiat de la tumeur. Nos données révèlent ainsi de nouvelles cibles potentielles pour l'immunothérapie du cancer et contribuent à la compréhension biologique du cancer.

Looking for Validity or Testing It? The Perils of Stepwise Regression, Extreme-Scores Analysis, Heteroscedasticity, and Measurement Error

When researchers introduce a new test they have to demonstrate that it is valid, using unbiased designs and suitable statistical procedures. In this article we use Monte Carlo analyses to highlight how incorrect statistical procedures (i.e., stepwise regression, extreme scores analyses) or ignoring regression assumptions (e.g., heteroscedasticity) contribute to wrong validity estimates. Beyond these demonstrations, and as an example, we re-examined the results reported by Warwick, Nettelbeck, and Ward (2010) concerning the validity of the Ability Emotional Intelligence Measure (AEIM). Warwick et al. used the wrong statistical procedures to conclude that the AEIM was incrementally valid beyond intelligence and personality traits in predicting various outcomes. In our re-analysis, we found that the reliability-corrected multiple correlation of their measures with personality and intelligence was up to .69. Using robust statistical procedures and appropriate controls, we also found that the AEIM did not predict incremental variance in GPA, stress, loneliness, or well-being, demonstrating the importance for testing validity instead of looking for it.

Percutaneous drainage versus emergency cholecystectomy for the treatment of acute cholecystitis in critically ill patients: does it matter?

Background The aim if this study was to compare percutaneous drainage (PD) of the gallbladder to emergency cholecystectomy (EC) in a well-defined patient group with sepsis related to acute calculous/acalculous cholecystitis (ACC/AAC).Methods Between 2001 and 2007, all consecutive patients of our ICU treated by either PD or EC were retrospectively analyzed. Cases were collected from a prospective database. Percutaneous drainage was performed by a transhepatic route and EC by open or laparoscopic approach. Patients' general condition and organ dysfunction were assessed by two validated scoring systems (SAPS II and SOFA, respectively). Morbidity, mortality, and long-term outcome were systematically reviewed and analyzed in both groups.Results Forty-two patients [median age = 65.5 years (range = 32-94)] were included; 45% underwent EC (ten laparoscopic, nine open) and 55% PD (n = 23). Both patient groups had similar preoperative characteristics. Percutaneous drainage and EC were successful in 91 and 100% of patients, respectively. Organ dysfunctions were similarly improved by the third postoperative/postdrainage days. Despite undergoing PD, two patients required EC due to gangrenous cholecystitis. The conversion rate after laparoscopy was 20%. Overall morbidity was 8.7% after PD and 47% after EC (P = 0.011). Major morbidity was 0% after PD and 21% after EC (P = 0.034). The mortality rate was not different (13% after PD and 16% after EC, P = 1.0) and the deaths were all related to the patients' preexisting disease. Hospital and ICU stays were not different. Recurrent symptoms (17%) occurred only after ACC in the PD group.Conclusions In high-risk patients, PD and EC are both efficient in the resolution of acute cholecystitis sepsis. However, EC is associated with a higher procedure-related morbidity and the laparoscopic approach is not always possible. Percutaneous drainage represents a valuable intervention, but secondary cholecystectomy is mandatory in cases of acute calculous cholecystitis.

Is it the grain size or the characteristic pore size that controls the induced polarization relaxation time of clean sands and sandstones?

There is a wide range of evidence to suggest that permeability can be constrained through of induced polarization measurements. For clean sands and sandstones, current mechanistic models of induced polarization predict a relationship between the low-frequency time constant inferred from induced polarization measurements and the grain diameter. A number of observations do, however, disagree with this and indicate that the observed relaxation behavior is rather governed by the so-called dynamic pore radius L. To test this hypothesis, we have developed a set of new scaling relationships, which allow the relaxation time to be computed from the pore size and the permeability to be computed from both the Cole-Cole time constant and the formation factor. Moreover, these new scaling relationships can be also used to predict the dependence of the Cole-Cole time constant as a function of the water saturation under unsaturated conditions. Comparative tests of the proposed new relationships with regard to various published experimental results for saturated clean sands and sandstones as well as for partially saturated clean sandstones, do indeed confirm that the dynamic pore radius L is a much more reliable indicator of the observed relaxation behavior than grain-size-based models.

ConnectomeViewer - Multi-Modal Multi-Level Network Visualization and Analysis.

Introduction: The field of Connectomic research is growing rapidly, resulting from methodological advances in structural neuroimaging on many spatial scales. Especially progress in Diffusion MRI data acquisition and processing made available macroscopic structural connectivity maps in vivo through Connectome Mapping Pipelines (Hagmann et al, 2008) into so-called Connectomes (Hagmann 2005, Sporns et al, 2005). They exhibit both spatial and topological information that constrain functional imaging studies and are relevant in their interpretation. The need for a special-purpose software tool for both clinical researchers and neuroscientists to support investigations of such connectome data has grown. Methods: We developed the ConnectomeViewer, a powerful, extensible software tool for visualization and analysis in connectomic research. It uses the novel defined container-like Connectome File Format, specifying networks (GraphML), surfaces (Gifti), volumes (Nifti), track data (TrackVis) and metadata. Usage of Python as programming language allows it to by cross-platform and have access to a multitude of scientific libraries. Results: Using a flexible plugin architecture, it is possible to enhance functionality for specific purposes easily. Following features are already implemented: * Ready usage of libraries, e.g. for complex network analysis (NetworkX) and data plotting (Matplotlib). More brain connectivity measures will be implemented in a future release (Rubinov et al, 2009). * 3D View of networks with node positioning based on corresponding ROI surface patch. Other layouts possible. * Picking functionality to select nodes, select edges, get more node information (ConnectomeWiki), toggle surface representations * Interactive thresholding and modality selection of edge properties using filters * Arbitrary metadata can be stored for networks, thereby allowing e.g. group-based analysis or meta-analysis. * Python Shell for scripting. Application data is exposed and can be modified or used for further post-processing. * Visualization pipelines using filters and modules can be composed with Mayavi (Ramachandran et al, 2008). * Interface to TrackVis to visualize track data. Selected nodes are converted to ROIs for fiber filtering The Connectome Mapping Pipeline (Hagmann et al, 2008) processed 20 healthy subjects into an average Connectome dataset. The Figures show the ConnectomeViewer user interface using this dataset. Connections are shown that occur in all 20 subjects. The dataset is freely available from the homepage (connectomeviewer.org). Conclusions: The ConnectomeViewer is a cross-platform, open-source software tool that provides extensive visualization and analysis capabilities for connectomic research. It has a modular architecture, integrates relevant datatypes and is completely scriptable. Visit www.connectomics.org to get involved as user or developer.