CR1Dmod: A Matlab program to model 1D complex resistivity effects in electrical and electromagnetic surveys

We have constructed a forward modelling code in Matlab, capable of handling several commonly used electrical and electromagnetic methods in a 1D environment. We review the implemented electromagnetic field equations for grounded wires, frequency and transient soundings and present new solutions in the case of a non-magnetic first layer. The CR1Dmod code evaluates the Hankel transforms occurring in the field equations using either the Fast Hankel Transform based on digital filter theory, or a numerical integration scheme applied between the zeros of the Bessel function. A graphical user interface allows easy construction of 1D models and control of the parameters. Modelling results are in agreement with other authors, but the time of computation is less efficient than other available codes. Nevertheless, the CR1Dmod routine handles complex resistivities and offers solutions based on the full EM-equations as well as the quasi-static approximation. Thus, modelling of effects based on changes in the magnetic permeability and the permittivity is also possible.

HIV-1 vaccines and adaptive trial designs.

Developing a vaccine against the human immunodeficiency virus (HIV) poses an exceptional challenge. There are no documented cases of immune-mediated clearance of HIV from an infected individual, and no known correlates of immune protection. Although nonhuman primate models of lentivirus infection have provided valuable data about HIV pathogenesis, such models do not predict HIV vaccine efficacy in humans. The combined lack of a predictive animal model and undefined biomarkers of immune protection against HIV necessitate that vaccines to this pathogen be tested directly in clinical trials. Adaptive clinical trial designs can accelerate vaccine development by rapidly screening out poor vaccines while extending the evaluation of efficacious ones, improving the characterization of promising vaccine candidates and the identification of correlates of immune protection.

Defining risk thresholds for a 10-year probability of hip fracture model that combines clinical risk factors and quantitative ultrasound: results using the EPISEM cohort.

Using a large prospective cohort of over 12,000 women, we determined 2 thresholds (high risk and low risk of hip fracture) to use in a 10-yr hip fracture probability model that we had previously described, a model combining the heel stiffness index measured by quantitative ultrasound (QUS) and a set of easily determined clinical risk factors (CRFs). The model identified a higher percentage of women with fractures as high risk than a previously reported risk score that combined QUS and CRF. In addition, it categorized women in a way that was quite consistent with the categorization that occurred using dual X-ray absorptiometry (DXA) and the World Health Organization (WHO) classification system; the 2 methods identified similar percentages of women with and without fractures in each of their 3 categories, but the 2 identified only in part the same women. Nevertheless, combining our composite probability model with DXA in a case findings strategy will likely further improve the detection of women at high risk of fragility hip fracture. We conclude that the currently proposed model may be of some use as an alternative to the WHO classification criteria for osteoporosis, at least when access to DXA is limited.

Computational analysis of the genetic and environmental contributions to disease-related human phenotypes: From predicting adverse lipid response of HIV patients receiving antiretroviral therapy to genome-wide association studies of cardiovascular and lipid related disorders

Genetic variants influence the risk to develop certain diseases or give rise to differences in drug response. Recent progresses in cost-effective, high-throughput genome-wide techniques, such as microarrays measuring Single Nucleotide Polymorphisms (SNPs), have facilitated genotyping of large clinical and population cohorts. Combining the massive genotypic data with measurements of phenotypic traits allows for the determination of genetic differences that explain, at least in part, the phenotypic variations within a population. So far, models combining the most significant variants can only explain a small fraction of the variance, indicating the limitations of current models. In particular, researchers have only begun to address the possibility of interactions between genotypes and the environment. Elucidating the contributions of such interactions is a difficult task because of the large number of genetic as well as possible environmental factors.In this thesis, I worked on several projects within this context. My first and main project was the identification of possible SNP-environment interactions, where the phenotypes were serum lipid levels of patients from the Swiss HIV Cohort Study (SHCS) treated with antiretroviral therapy. Here the genotypes consisted of a limited set of SNPs in candidate genes relevant for lipid transport and metabolism. The environmental variables were the specific combinations of drugs given to each patient over the treatment period. My work explored bioinformatic and statistical approaches to relate patients' lipid responses to these SNPs, drugs and, importantly, their interactions. The goal of this project was to improve our understanding and to explore the possibility of predicting dyslipidemia, a well-known adverse drug reaction of antiretroviral therapy. Specifically, I quantified how much of the variance in lipid profiles could be explained by the host genetic variants, the administered drugs and SNP-drug interactions and assessed the predictive power of these features on lipid responses. Using cross-validation stratified by patients, we could not validate our hypothesis that models that select a subset of SNP-drug interactions in a principled way have better predictive power than the control models using "random" subsets. Nevertheless, all models tested containing SNP and/or drug terms, exhibited significant predictive power (as compared to a random predictor) and explained a sizable proportion of variance, in the patient stratified cross-validation context. Importantly, the model containing stepwise selected SNP terms showed higher capacity to predict triglyceride levels than a model containing randomly selected SNPs. Dyslipidemia is a complex trait for which many factors remain to be discovered, thus missing from the data, and possibly explaining the limitations of our analysis. In particular, the interactions of drugs with SNPs selected from the set of candidate genes likely have small effect sizes which we were unable to detect in a sample of the present size (<800 patients).In the second part of my thesis, I performed genome-wide association studies within the Cohorte Lausannoise (CoLaus). I have been involved in several international projects to identify SNPs that are associated with various traits, such as serum calcium, body mass index, two-hour glucose levels, as well as metabolic syndrome and its components. These phenotypes are all related to major human health issues, such as cardiovascular disease. I applied statistical methods to detect new variants associated with these phenotypes, contributing to the identification of new genetic loci that may lead to new insights into the genetic basis of these traits. This kind of research will lead to a better understanding of the mechanisms underlying these pathologies, a better evaluation of disease risk, the identification of new therapeutic leads and may ultimately lead to the realization of "personalized" medicine.

Electronic control device exposure: a review of morbidity and mortality.

The use of electronic control devices has expanded worldwide during the last few years, the most widely used model being the Taser. However, the scientific knowledge about electronic control devices remains limited. We reviewed the medical literature to examine the potential implications of electronic devices in terms of morbidity and mortality, and to identify and evaluate all the existing experimental human studies. A single exposure of an electronic control device on healthy individuals can be assumed to be generally safe, according to 23 prospective human experimental studies and numerous volunteer exposures. In case series, however, electronic control devices could have deleterious effects when used in the field, in particular if persons receive multiple exposures, are intoxicated, show signs of "excited delirium," or present with medical comorbidities. As the use of electronic control devices continues to increase, the controversy about its safety, notably in potentially high-risk individuals, is still a matter of debate. The complications of electronic control device exposure are numerous but often recognizable, usually resulting from barbed dart injuries or from falls. Persons exposed to electronic control devices should therefore be fully examined, and traumatic lesions must be ruled out.

Bactericidal synergism between daptomycin and the phage lysin Cpl-1 in a mouse model of pneumococcal bacteraemia.

Combination therapy may improve the outcome of Streptococcus pneumoniae-induced bacteraemia. Here we tested the combination of two antipneumococcal agents, daptomycin and Cpl-1 (the pneumococcal Cp-1 bacteriophage lysin), in a mouse model of pneumococcal bacteraemia. Mice were challenged intraperitoneally (i.p.) with 10(6)CFU of the extremely virulent serotype 2 S. pneumoniae D39 isolate. Subtherapeutic doses of daptomycin (0.4mg/kg) and Cpl-1 (0.4mg/kg and 1mg/kg) were administrated i.p. either alone or in combination by a single bolus injection 1h after bacterial challenge. Survival rates of animals were followed over a period of 7 days. Daptomycin (0.4mg/kg) in combination with Cpl-1 (0.4mg/kg) significantly increased the percentage of surviving mice at Day 7 (80%) compared with the untreated control (0%) and daptomycin or Cpl-1 monotherapy (35% and 0%, respectively). Whilst increasing the concentration of Cpl-1 to 1.0mg/kg did not improve survival when injected alone, its combination with 0.4mg/kg daptomycin further increased the survival rate to 95%. Thus, it was found that the combination of daptomycin with Cpl-1 was synergistic and bactericidal against S. pneumoniae in a mouse model of pneumococcal bacteraemia. To our knowledge, this is the first report of synergism between daptomycin and a phage lysin demonstrated in vivo. Such a combination could represent an interesting alternative therapy for the treatment of pneumococcal bacteraemia/sepsis and possibly other severe pneumococcal infections.

Hybrid model of a double-fed induction machine and back-to-back converter

This report details the port interconnection of two subsystems: a power electronics subsystem (a back-to-back AC/AC converter (B2B), coupled to a phase of the power grid), and an electromechanical subsystem (a doubly-fed induction machine (DFIM), coupled mechanically to a flywheel and electrically to the power grid and to a local varying load). Both subsystems have been essentially described in previous reports (deliverables D 0.5 and D 4.3.1), although some previously unpublished details are presented here. The B2B is a variable structure system (VSS), due to the presence of control-actuated switches: however from a modelling and simulation, as well as a control-design, point of view, it is sensible to consider modulated transformers (MTF in the bond-graph language) instead of the pairs of complementary switches. The port-Hamiltonian models of both subsystems are presents and coupled through a power-preserving interconnection, and the Hamiltonian description of the whole system is obtained; detailed bond-graphs of all the subsystems and the complete system are provided.

Genetic algorithm for sequencing in midex model non-permutation flowshops using constrained buffers

Este trabajo presenta un Algoritmo Genético (GA) del problema de secuenciar unidades en una línea de producción. Se tiene en cuenta la posibilidad de cambiar la secuencia de piezas mediante estaciones con acceso a un almacén intermedio o centralizado. El acceso al almacén además está restringido, debido al tamaño de las piezas.AbstractThis paper presents a Genetic Algorithm (GA) for the problem of sequencing in a mixed model non-permutation flowshop. Resequencingis permitted where stations have access to intermittent or centralized resequencing buffers. The access to a buffer is restricted by the number of available buffer places and the physical size of the products.

Modeling and Synthesis of Tracking Control for the Belt Drive System

Usingof belt for high precision applications has become appropriate because of the rapid development in motor and drive technology as well as the implementation of timing belts in servo systems. Belt drive systems provide highspeed and acceleration, accurate and repeatable motion with high efficiency, long stroke lengths and low cost. Modeling of a linear belt-drive system and designing its position control are examined in this work. Friction phenomena and position dependent elasticity of the belt are analyzed. Computer simulated results show that the developed model is adequate. The PID control for accurate tracking control and accurate position control is designed and applied to the real test setup. Both the simulation and the experimental results demonstrate that the designed controller meets the specified performance specifications.

Analysis of Active Magnet Bearing Control Software

Problems of the designing active magnet bearingcontrol are developed. The estimation controller are designed and applied to a rigid rotor. The mathematical model of the active magnet bearing controller is developed. This mathematical model is realized on a DSP. The results of this realization are analyzed. The conclusions about the digital signal processing are made.

Respiratory failure in a mouse model of myotonic dystrophy does not correlate with the CTG repeat length.

Myotonic dystrophy (DM1) is a multisystemic disease caused by an expansion of CTG repeats in the region of DMPK, the gene encoding DM protein kinase. The severity of muscle disability in DM1 correlates with the size of CTG expansion. As respiratory failure is one of the main causes of death in DM1, we investigated the correlation between respiratory impairment and size of the (CTG)n repeat in DM1 animal models. Using pressure plethysmography the respiratory function was assessed in control and transgenic mice carrying either 600 (DM600) or >1300 CTG repeats (DMSXL). The statistical analysis of respiratory parameters revealed that both DM1 transgenic mice sub-lines show respiratory impairment compared to control mice. In addition, there is no significant difference in breathing functions between the DM600 and DMSXL mice. In conclusion, these results indicate that respiratory impairment is present in both transgenic mice sub-lines, but the severity of respiratory failure is not related to the size of the (CTG)n expansion.

Predicting Non Return to Work after Orthopaedic Trauma: The Wallis Occupational Rehabilitation RisK (WORRK) Model.

BACKGROUND: Workers with persistent disabilities after orthopaedic trauma may need occupational rehabilitation. Despite various risk profiles for non-return-to-work (non-RTW), there is no available predictive model. Moreover, injured workers may have various origins (immigrant workers), which may either affect their return to work or their eligibility for research purposes. The aim of this study was to develop and validate a predictive model that estimates the likelihood of non-RTW after occupational rehabilitation using predictors which do not rely on the worker's background. METHODS: Prospective cohort study (3177 participants, native (51%) and immigrant workers (49%)) with two samples: a) Development sample with patients from 2004 to 2007 with Full and Reduced Models, b) External validation of the Reduced Model with patients from 2008 to March 2010. We collected patients' data and biopsychosocial complexity with an observer rated interview (INTERMED). Non-RTW was assessed two years after discharge from the rehabilitation. Discrimination was assessed by the area under the receiver operating curve (AUC) and calibration was evaluated with a calibration plot. The model was reduced with random forests. RESULTS: At 2 years, the non-RTW status was known for 2462 patients (77.5% of the total sample). The prevalence of non-RTW was 50%. The full model (36 items) and the reduced model (19 items) had acceptable discrimination performance (AUC 0.75, 95% CI 0.72 to 0.78 and 0.74, 95% CI 0.71 to 0.76, respectively) and good calibration. For the validation model, the discrimination performance was acceptable (AUC 0.73; 95% CI 0.70 to 0.77) and calibration was also adequate. CONCLUSIONS: Non-RTW may be predicted with a simple model constructed with variables independent of the patient's education and language fluency. This model is useful for all kinds of trauma in order to adjust for case mix and it is applicable to vulnerable populations like immigrant workers.

Measuring the relative effect of factors affecting species distribution model predictions

1. Species distribution models are increasingly used to address conservation questions, so their predictive capacity requires careful evaluation. Previous studies have shown how individual factors used in model construction can affect prediction. Although some factors probably have negligible effects compared to others, their relative effects are largely unknown. 2. We introduce a general "virtual ecologist" framework to study the relative importance of factors involved in the construction of species distribution models. 3. We illustrate the framework by examining the relative importance of five key factors-a missing covariate, spatial autocorrelation due to a dispersal process in presences/absences, sample size, sampling design and modeling technique-in a real study framework based on plants in a mountain landscape at regional scale, and show that, for the parameter values considered here, most of the variation in prediction accuracy is due to sample size and modeling technique. Contrary to repeatedly reported concerns, spatial autocorrelation has only comparatively small effects. 4. This study shows the importance of using a nested statistical framework to evaluate the relative effects of factors that may affect species distribution models.

Control of gene expression in melanocytes and RPE by conserved distal regulatory elements

Résumé Durant le développement embryonnaire, les cellules pigmentaires des mammifères se développent à partir de deux origines différentes : les melanocytes se développent à partir de la crête neurale alors que les cellules de la rétine pigmentaire (RP) ont une origine neuronale. Un grand nombre de gènes sont impliqués dans la pigmentation dont les gènes de la famille tyrosinase à savoir Tyr, Tyrp1 et Dct. Certaines études ont suggéré que les gènes de la pigmentation sont régulés de manière différentielle dans les mélanocytes et dans la RP. Dans ce travail, les gènes de la famille tyrosinase ont été étudiés comme modèle de la régulation des gènes de la pigmentation par des éléments régulateurs agissant à distance. II a été montré que le promoteur du gène Tyrp1pouvait induire l'expression d'un transgène uniquement dans la RP alors que ce gène est aussi exprimé dans les mélanocytes comme le montre le phénotype des souris mutantes pour Tyrp1. Ce résultat suggère que les éléments régulateurs du promoteur sont suffisants pour l'expression dans la RP mais pas pour l'expression dans les mélanocytes. J'ai donc cherché à identifier la séquence qui régule l'expression dans les mélanocytes. Un chromosome artificiel bactérien (CAB) contenant le gène Tyrp1 s'est avéré suffisant pour induire l'expression dans les mélanocytes, comme démontré par la correction du phénotype mutant. La séquence de ce CAB contient plusieurs régions très conservées qui pourraient représenter de nouveaux éléments régulateurs. Par la suite, j'ai focalisé mon analyse sur une séquence située à -I5 kb qui s'est révélée être un amplificateur spécifique aux mélanocytes comme démontré par des expériences de cultures cellulaire et de transgenèse. De plus, une analyse poussée de cet élément a révélé que le facteur de transcription Sox 10 représentait un transactivateur de cet amplificateur. Comme pour Tyrp1, la régulation du gène tyrosinase est contrôlée par différents éléments régulateurs dans les mélanocytes et la RP. Il a été montré que le promoteur de tyrosinase n'était pas suffisant pour une forte expression dans les mélanocytes et la RP. De plus, l'analyse de la région située en amont a révélé la présence d'un amplificateur nécessaire à l'expression dans les mélanocytes à la position -15 kb. Cet amplificateur n'est toutefois pas actif dans la RP mais agit comme un répresseur dans ces cellules. Ces résultats indiquent que certains éléments nécessaires à l'expression dans les deux types de cellules pigmentaires sont absents de ces constructions. Comme pour Tyrp1, j'ai en premier lieu démontré qu'un CAB était capable de corriger le phénotype albinique, puis ai inséré un gène reporter (lacZ) dans le CAB par recombinaison homologue et ai finalement analysé l'expression du reporter en transgenèse. Ces souris ont montré une expression forte du lacZ dans les mélanocytes et la RP, ce qui indique que le CAB contient les séquences régulatrices nécessaires à l'expression correcte de tyrosinase. Afin de localiser plus précisément les éléments régulateurs, j'ai ensuite généré des délétions dans le CAB et analysé l'expression du lacZ en transgenèse. La comparaison de séquences génomiques provenant de différentes espèces a permis par la suite d'identifier des régions représentant de nouveaux éléments régulateurs potentiels. En utilisant cette approche, j'ai identifié une région qui se comporte comme un amplificateur dans la RP et qui est nécessaire à l'expression de tyrosinase dans ce tissu. De plus, j'ai identifié les facteurs de transcription Mitf et Sox10 comme transactivateurs de l'amplificateur spécifique aux mélanocytes situé à -15 kb. L'identification et la caractérisation des ces éléments régulateurs des gènes tyrosinase et Tyrp1confirme donc que la régulation différentielle des gènes dans les mélanocytes et la RP est liée à des éléments régulateurs séparés. Summary Pigment cells of mammals originate from two different lineages: melanocytes arise from the neural crest, whereas cells of the retinal pigment epithelium (RPE) originate from the optic cup of the developing forebrain. A large set of genes are involved in pigmentation, including the members of the tyrosinase gene family, namely tyrosinase, Tyrp1 and Dct. Previous studies have suggested that pigmentation genes are differentially regulated in melanocytes and RPE. In this work, the tyrosinase gene family was used as a model for studying the involvement of distal regulatory elements in pigment cell-specific gene expression. The promoter of the Tyrp1 gene has been shown to drive detectable transgene expression only to the RPE, even though the gene is also expressed in melanocytes as evident from Tyrp1-mutant mice. This indicates that the regulatory elements responsible for Tyrp1 gene expression in the RPE are not sufficient for expression in melanocytes. I thus searched for a putative melanocyte-specific regulatory sequence and demonstrate that a bacterial artificial chromosome (BAC) containing the Tyrp1 gene and surrounding sequences is able to target transgenic expression to melanocytes and to rescue the Tyrp1 b (brown) phenotype. This BAC contains several highly conserved non-coding sequences that might represent novel regulatory elements. I further focused on a sequence located at -15 kb which I identified as amelanocyte-specific enhancer as shown by cell culture and transgenic mice. In addition, further functional analysis identified the transcription factor Sox10 as being able to bind and transactivate this enhancer. As for Tyrp1, tyrosinase gene regulation is mediated by different cis-regulatory elements in melanocytes and RPE. It was shown that the tyrosinase promoter was not sufficient to confer strong and specific expression in melanocytes and RPE. Moreover, analysis of tyrosinase upstream sequence, revealed the presence of a specific enhancer at position -15 kb which was necessary to confer strong expression in melanocytes. This enhancer element however failed to act as an enhancer in the RPE, but rather repressed expression. This indicates that some regulatory elements required for tyrosinase expression in both RPE and melanocytes are still missing from these constructs. As for Tyrp1, I first demonstrated that a BAC containing the Tyr gene is able to rescue the Tyr c (albino) phenotype in mice, then I inserted a lacZ reporter gene in the BAC by homologous recombination, and finally analysed the pattern of lacZ expression in transgenic mice. These mice showed strong lacZ expression in both RPE and melanocytes, indicating that the BAC contains the regulatory sequences required for proper tyrosinase expression. In order to localize more precisely these regulatory elements, I have then generated several deletions in the BAC and analysed lacZ expression in transgenic mice. Multi-species comparative genomic analysis then allowed identifying conserved sequences that potentially represent novel regulatory elements. Using this experimental approach, I identified a region that behaves as a RPE-specific enhancer and that is required for tyrosinase expression in the retina] pigment epithelium. In addition, I identified the transcription factors Mitf and Sox l0 as being transactivators of the melanocyte-specific enhancer located at -l5 kb. The identification and characterization of these tyrosinase and Tyrp1 distal regulatory element supports the idea that separate regulatory sequences mediate differential gene expression in melanocytes and RPE.