1,305 research outputs found

    Influence of Time-Dependent Power Dissipations on the Ageing Behavior of Thick-Film Resistors

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    Reliability experiments on hybrid circuits are usually carried out by accelerated ageing test. The circuits or the components under test are stored at an elevated ambient temperature and the change of their electric properties is controlled at regular times. The situation becomes entirely different if the temperature rise is due to the power dissipation in the component under test and not caused by external means. In electronic circuits, power dissipations are expressed by a mean value, whereas the actual situation is generally a time-dependent function. The temperature will then also be time dependent. Therefore, ageing tests on thick film resistors will be presented in this contribution. Resistors are submitted to a DC power source and a pulse shaped one. Different ageing characteristics are observed

    Lack of Association between Serum Serotonin, Eating Patterns, and Depression in Obese Women

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    Objective: The objective of this study was to determine the association between circulating serotonin concentrations, depressive symptoms, and dietary patterns in obese women. Methods: We studied 47 patients using the Beck Depression Scale, the 24-hour food registry, biochemical tests, and serum serotonin levels by high-performance liquid chromatography (HPLC). Results: The mean age of patients was 41.0 ± 10.0 years and their body mass index (BMI) was 36.9 ± 6.2 kg/m2. Depression was present in 34.0% of patients. There were no significant differences in serum serotonin concentrations between patients with or without depression (156.4 ± 63.5 vs. 147.7 ± 71.2 ng/mL; p = 0.357). The percentage of patients with abnormal serum serotonin concentrations and the presence of depression according to the degree of obesity were as follows: Class I 56.5% and 30.4%, Class II 54.5% and 36.5%, Class III 38.5% and 38.5%; p = .5 and p = .9, respectively). There were no significant correlations between serum serotonin concentrations and eating patterns related to calorie intake (r = 0.09, p = 0.5), carbohydrate intake (r = 0.03, p = 0.8), fat intake (r = 0.1, p = 0.2), or protein intake (r = 0.24, p = 0.09). Conclusion: We found that in adult women with obesity, there were no relationships between serum serotonin and nutrient intake, the presence of depression, or obesity severity

    The single right coronary artery

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    Variational assimilation of Lagrangian data in oceanography

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    We consider the assimilation of Lagrangian data into a primitive equations circulation model of the ocean at basin scale. The Lagrangian data are positions of floats drifting at fixed depth. We aim at reconstructing the four-dimensional space-time circulation of the ocean. This problem is solved using the four-dimensional variational technique and the adjoint method. In this problem the control vector is chosen as being the initial state of the dynamical system. The observed variables, namely the positions of the floats, are expressed as a function of the control vector via a nonlinear observation operator. This method has been implemented and has the ability to reconstruct the main patterns of the oceanic circulation. Moreover it is very robust with respect to increase of time-sampling period of observations. We have run many twin experiments in order to analyze the sensitivity of our method to the number of floats, the time-sampling period and the vertical drift level. We compare also the performances of the Lagrangian method to that of the classical Eulerian one. Finally we study the impact of errors on observations.Comment: 31 page

    Adipokine Imbalance in the Pericardial Cavity of Cardiac and Vascular Disease Patients

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    Aim Obesity and especially hypertrophy of epicardial adipose tissue accelerate coronary atherogenesis. We aimed at comparing levels of inflammatory and atherogenic hormones from adipose tissue in the pericardial fluid and circulation of cardiovascular disease patients. Methods and Results Venous plasma (P) and pericardial fluid (PF) were obtained from elective cardiothoracic surgery patients (n = 37). Concentrations of leptin, adipocyte fatty acid-binding protein (AFABP) and adiponectin (APN) were determined by enzyme-linked immunosorbent assays (ELISA). The median concentration of leptin in PF (4.3 (interquartile range: 2.8-9.1) mu g/L) was comparable to that in P (5.9 (2.2-11) mu g/L) and these were significantly correlated to most of the same patient characteristics. The concentration of A-FABP was markedly higher (73 (28-124) versus 8.4 (5.2-14) mu g/L) and that of APN was markedly lower (2.8 (1.7-4.2) versus 13 (7.2-19) mg/L) in PF compared to P. APN in PF was unlike in P not significantly related to age, body mass index, plasma triglycerides or coronary artery disease. PF levels of APN, but not A-FABP, were related to the size of paracardial adipocytes. PF levels of APN and A-FABP were not related to the immunoreactivity of paracardial adipocytes for these proteins. Conclusion In cardiac and vascular disease patients, PF is enriched in A-FABP and poor in APN. This adipokine microenvironment is more likely determined by the heart than by the circulation or paracardial adipose tissue.published_or_final_versio

    Automated motion analysis of bony joint structures from dynamic computer tomography images: A multi-atlas approach

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    Dynamic computer tomography (CT) is an emerging modality to analyze in-vivo joint kinematics at the bone level, but it requires manual bone segmentation and, in some instances, landmark identification. The objective of this study is to present an automated workflow for the assessment of three-dimensional in vivo joint kinematics from dynamic musculoskeletal CT images. The proposed method relies on a multi-atlas, multi-label segmentation and landmark propagation framework to extract bony structures and detect anatomical landmarks on the CT dataset. The segmented structures serve as regions of interest for the subsequent motion estimation across the dynamic sequence. The landmarks are propagated across the dynamic sequence for the construction of bone embedded reference frames from which kinematic parameters are estimated. We applied our workflow on dynamic CT images obtained from 15 healthy subjects on two different joints: thumb base (n = 5) and knee (n = 10). The proposed method resulted in segmentation accuracies of 0.90 ± 0.01 for the thumb dataset and 0.94 ± 0.02 for the knee as measured by the Dice score coefficient. In terms of motion estimation, mean differences in cardan angles between the automated algorithm and manual segmentation, and landmark identification performed by an expert were below 1◦. Intraclass correlation (ICC) between cardan angles from the algorithm and results from expert manual landmarks ranged from 0.72 to 0.99 for all joints across all axes. The proposed automated method resulted in reproducible and reliable measurements, enabling the assessment of joint kinematics using 4DCT in clinical routine
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