123 resultados para NONLINEAR INTERNAL WAVES


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The Swiss postgraduate training program in general internal medicine is now designed as a competency-based curriculum. In other words, by the end of their training, the residents should demonstrate a set of predefined competences. Many of those competences have to be learnt in outpatient settings. Thus, the primary care physicians have more than ever an important role to play in educating tomorrows doctors. A competency-based model of training requires a regular assessment of the residents. The mini-CEX (mini-Clinical Evaluation eXercise) is the assessment tool proposed by the Swiss institute for postgraduate and continuing education. The mini-CEX is based on the direct observation of the trainees performing a specific task, as well as on the ensuing feedback. This article aims at introducing our colleagues in charge of residents to the mini-CEX, which is a useful tool promoting the culture of feedback in medical education.

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This review is based on five articles published in 2006 and dealing with therapies in general internal medicine: in case of acute non complicated rhino-sinusitis, the use of topical corticoids in mono-therapy is indicated; cross-reactivity between penicillins and cephalosporins is less frequent than established so far. In our daily practice we should be more "pro-active" in prescribing probiotics which have proved their efficacy in the prevention of antibiotic-associated diarrhoeas; an antibiotic treatment of three days is recommended in case of non complicated cystitis in women less than 65 years of age. Finally, every patient treated with bisphosphonates must be regularly followed by a dentist.

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BACKGROUND: This study was designed to determine whether the pain pattern in patients with an internal mammary artery (IMA) harvest differs from that in other cardiac operations and whether these patients present specific characteristics with clinical implications. METHODS: One hundred patients with left IMA grafting (IMA group) were compared prospectively with 100 patients who had a heart operation without IMA harvest (non-IMA group). Pain assessment was performed on postoperative days (POD) 1, 2, 3, and 7, and included pain intensity (10-point scale) and pain localization. RESULTS: In the IMA group, pain intensity was higher on POD 2 (4.2 +/- 2.4 versus 3.2 +/- 2.3, p < 0.01), and there were more patients without pain on POD 7 (32 versus 19, p = 0.03). In the IMA group, more patients had left basal thoracic pain throughout the entire study period and had sternal pain on POD 7, whereas more patients in the non-IMA group complained about back pain during the early postoperative period. CONCLUSIONS: The impact of IMA harvest on pain intensity is moderate, but the pain localization pattern of each group exhibits specific features that could help to better target pain management.

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Bioassays with bioreporter bacteria are usually calibrated with analyte solutions of known concentrations that are analysed along with the samples of interest. This is done as bioreporter output (the intensity of light, fluorescence or colour) does not only depend on the target concentration, but also on the incubation time and physiological activity of the cells in the assay. Comparing the bioreporter output with standardized colour tables in the field seems rather difficult and error-prone. A new approach to control assay variations and improve application ease could be an internal calibration based on the use of multiple bioreporter cell lines with drastically different reporter protein outputs at a given analyte concentration. To test this concept, different Escherichia coli-based bioreporter strains expressing either cytochrome c peroxidase (CCP, or CCP mutants) or β-galactosidase upon induction with arsenite were constructed. The reporter strains differed either in the catalytic activity of the reporter protein (for CCP) or in the rates of reporter protein synthesis (for β-galactosidase), which, indeed, resulted in output signals with different intensities at the same arsenite concentration. Hence, it was possible to use combinations of these cell lines to define arsenite concentration ranges at which none, one or more cell lines gave qualitative (yes/no) visible signals that were relatively independent of incubation time or bioreporter activity. The discriminated concentration ranges would fit very well with the current permissive (e.g. World Health Organization) levels of arsenite in drinking water (10 µg l−1).

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The prescribing of antibiotics for uncomplicated skin abscesses and diverticulitis has no benefit. Some antibiotics are more at risk of causing a Clostridium difficile infection. The tests used to exclude a history of a penicillin allergy are safe. A threshold of D-dimer adjusted for the age significantly improves the specificity of the test without affecting the sensitivity. The prescription of paraclinics tests is not an effective "treatment" for the patient's anxiety. In the sleep apnea syndrome, treatment with CPAP (Continuous positive airway pressure) appears to have more benefits compared to the mandibular advancement prosthesis. The work of primary care physicians can be supported by the work of advanced practice nurses. The limitation placed on the working hours of doctors in hospitals seems to affect their ability to spend time with their patients.

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Purpose:To evaluate the histological features of cellular retinal fragments on the internal limiting membrane (ILM) removed during epiretinal membrane peeling surgery with and without the aid of ICG diluted in 5% glucose Methods:ILM specimens removed from 88 eyes undergoing vitrectomy and membrane peeling surgery for idiopathic epiretinal membrane between 1995 and 2003 were reviewed retrospectively. Surgery was performed in all cases by the same surgeon using the same technique. ICG was diluted with 5% glucose. Histological analysis focused on the presence and characteristics of retinal structures on the retinal surface of the ILM. Statistical analysis compared the results between group I (conventional surgery without ICG) and group II (ICG-assisted peeling) Results:Seventy-one eyes underwent EMM surgery without the aid of ICG (group I) and seventeen underwent EMM ICG-assisted surgery assisted using ICG (group II). The amount of Muller cell debris on the retinal surface of the ILM was more significant in the group I (no ICG) than in the group II (ICG) (40.8 versus 11.8; p = 0.024). Large fragments of Muller cells were more frequently observed in the group I (no ICG) than in the group II (ICG) (63.4% versus 23.5%; p= 0.003).The presence of larger retinal elements such as neural axons and vessels were observed attached to retinal face of the ILM in 5 (7%) cases of the no-ICG group. No such retinal elements were detected in any of the histological ILM specimens of the ICG-assisted group Conclusions:The use of ICG diluted with 5% glucose in the aid of ILM removal during epiretinal membrane surgery was associated with less retinal debris attached to retinal face of the ILM compared to surgery in which ICG was not used. Our findings contradict previous reports in the literature, in which use of ICG diluted with balanced salt solution (BSS) was associated with more retinal fragments attached to the retinal face of the ILM. According to our results, we hypothesize that diluting ICG with 5% glucose may decrease the adhesion of the ILM to the underlying retinal layers such that less retinal debris is removed with peeling of the ILM.

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Plants propagate electrical signals in response to artificial wounding. However, little is known about the electrophysiological responses of the phloem to wounding, and whether natural damaging stimuli induce propagating electrical signals in this tissue. Here, we used living aphids and the direct current (DC) version of the electrical penetration graph (EPG) to detect changes in the membrane potential of Arabidopsis sieve elements (SEs) during caterpillar wounding. Feeding wounds in the lamina induced fast depolarization waves in the affected leaf, rising to maximum amplitude (c. 60 mV) within 2 s. Major damage to the midvein induced fast and slow depolarization waves in unwounded neighbor leaves, but only slow depolarization waves in non-neighbor leaves. The slow depolarization waves rose to maximum amplitude (c. 30 mV) within 14 s. Expression of a jasmonate-responsive gene was detected in leaves in which SEs displayed fast depolarization waves. No electrical signals were detected in SEs of unwounded neighbor leaves of plants with suppressed expression of GLR3.3 and GLR3.6. EPG applied as a novel approach to plant electrophysiology allows cell-specific, robust, real-time monitoring of early electrophysiological responses in plant cells to damage, and is potentially applicable to a broad range of plant-herbivore interactions.

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We describe the case of a man with a history of complex partial seizures and severe language, cognitive and behavioural regression during early childhood (3.5 years), who underwent epilepsy surgery at the age of 25 years. His early epilepsy had clinical and electroencephalogram features of the syndromes of epilepsy with continuous spike waves during sleep and acquired epileptic aphasia (Landau-Kleffner syndrome), which we considered initially to be of idiopathic origin. Seizures recurred at 19 years and presurgical investigations at 25 years showed a lateral frontal epileptic focus with spread to Broca's area and the frontal orbital regions. Histopathology revealed a focal cortical dysplasia, not visible on magnetic resonance imaging. The prolonged but reversible early regression and the residual neuropsychological disorders during adulthood were probably the result of an active left frontal epilepsy, which interfered with language and behaviour during development. Our findings raise the question of the role of focal cortical dysplasia as an aetiology in the syndromes of epilepsy with continuous spike waves during sleep and acquired epileptic aphasia.

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We present a novel numerical algorithm for the simulation of seismic wave propagation in porous media, which is particularly suitable for the accurate modelling of surface wave-type phenomena. The differential equations of motion are based on Biot's theory of poro-elasticity and solved with a pseudospectral approach using Fourier and Chebyshev methods to compute the spatial derivatives along the horizontal and vertical directions, respectively. The time solver is a splitting algorithm that accounts for the stiffness of the differential equations. Due to the Chebyshev operator the grid spacing in the vertical direction is non-uniform and characterized by a denser spatial sampling in the vicinity of interfaces, which allows for a numerically stable and accurate evaluation of higher order surface wave modes. We stretch the grid in the vertical direction to increase the minimum grid spacing and reduce the computational cost. The free-surface boundary conditions are implemented with a characteristics approach, where the characteristic variables are evaluated at zero viscosity. The same procedure is used to model seismic wave propagation at the interface between a fluid and porous medium. In this case, each medium is represented by a different grid and the two grids are combined through a domain-decomposition method. This wavefield decomposition method accounts for the discontinuity of variables and is crucial for an accurate interface treatment. We simulate seismic wave propagation with open-pore and sealed-pore boundary conditions and verify the validity and accuracy of the algorithm by comparing the numerical simulations to analytical solutions based on zero viscosity obtained with the Cagniard-de Hoop method. Finally, we illustrate the suitability of our algorithm for more complex models of porous media involving viscous pore fluids and strongly heterogeneous distributions of the elastic and hydraulic material properties.

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Spatial data analysis mapping and visualization is of great importance in various fields: environment, pollution, natural hazards and risks, epidemiology, spatial econometrics, etc. A basic task of spatial mapping is to make predictions based on some empirical data (measurements). A number of state-of-the-art methods can be used for the task: deterministic interpolations, methods of geostatistics: the family of kriging estimators (Deutsch and Journel, 1997), machine learning algorithms such as artificial neural networks (ANN) of different architectures, hybrid ANN-geostatistics models (Kanevski and Maignan, 2004; Kanevski et al., 1996), etc. All the methods mentioned above can be used for solving the problem of spatial data mapping. Environmental empirical data are always contaminated/corrupted by noise, and often with noise of unknown nature. That's one of the reasons why deterministic models can be inconsistent, since they treat the measurements as values of some unknown function that should be interpolated. Kriging estimators treat the measurements as the realization of some spatial randomn process. To obtain the estimation with kriging one has to model the spatial structure of the data: spatial correlation function or (semi-)variogram. This task can be complicated if there is not sufficient number of measurements and variogram is sensitive to outliers and extremes. ANN is a powerful tool, but it also suffers from the number of reasons. of a special type ? multiplayer perceptrons ? are often used as a detrending tool in hybrid (ANN+geostatistics) models (Kanevski and Maignank, 2004). Therefore, development and adaptation of the method that would be nonlinear and robust to noise in measurements, would deal with the small empirical datasets and which has solid mathematical background is of great importance. The present paper deals with such model, based on Statistical Learning Theory (SLT) - Support Vector Regression. SLT is a general mathematical framework devoted to the problem of estimation of the dependencies from empirical data (Hastie et al, 2004; Vapnik, 1998). SLT models for classification - Support Vector Machines - have shown good results on different machine learning tasks. The results of SVM classification of spatial data are also promising (Kanevski et al, 2002). The properties of SVM for regression - Support Vector Regression (SVR) are less studied. First results of the application of SVR for spatial mapping of physical quantities were obtained by the authorsin for mapping of medium porosity (Kanevski et al, 1999), and for mapping of radioactively contaminated territories (Kanevski and Canu, 2000). The present paper is devoted to further understanding of the properties of SVR model for spatial data analysis and mapping. Detailed description of the SVR theory can be found in (Cristianini and Shawe-Taylor, 2000; Smola, 1996) and basic equations for the nonlinear modeling are given in section 2. Section 3 discusses the application of SVR for spatial data mapping on the real case study - soil pollution by Cs137 radionuclide. Section 4 discusses the properties of the modelapplied to noised data or data with outliers.