Analysis of X-ray spectra emitted from laser-produced plasmas of uranium

In this paper, we used the multiconfiguration Dirac-Fock method to generate theoretical X-ray spectra for Co-, Ni-, Cu-, Zn-, Ga-, Ge-, As-, Se-, Br-, Kr-, and Rb-like uranium ions. Using the distribution of these ions in a laser-produced plasma, for different plasma temperatures, we generate theoretical spectra, which are compared to experimental data

Intergenerational differences in cardiovascular risk factor levels in Switzerland

Background: There is little information regarding cardiovascular risk factor (CV RF) trends in Switzerland. We aimed at assessing generation differences in CV RFs by comparing CV RFs levels within selected age groups separated by a 20 year time lag. Design: Two population-based surveys. Methods: Data from the Monica (1984-1986) and Colaus (2004-2006) surveys were used. Analyses were stratified by sex and age groups (35-44, 45-54, 55-64 and 65-75 years). Results: No changes were found for BMI levels and status between surveys: in men, 26}3, 26}3, 27}4 and 27}4 kg/m2 for age groups 35-44, 45-54, 55-64 and 65-74, respectively, in MONICA, vs. 26}4, 26}4, 27}4 and 28}4 kg/m2 in COLAUS, p=NS, in women: 24}4, 26}4, 26}4 and 26}5 kg/m2 in MONICA, vs. 24}5, 25}5, 26}5 and 26}5 kg/m2 in COLAUS, p=NS. Similar results were found after adjusting for education. Smoking prevalence increased in men: 28, 30, 22 and 15% for age groups 35-44, 45-54, 55-64 and 65-74, respectively, in MONICA, vs. 35, 29, 28 and 21% in COLAUS. In women, changes differed according to age: 39, 26, 16 and 18%, in MONICA vs. 28, 30, 22 and 15% in COLAUS. Blood pressure decreased in the younger age groups and remained constant in the older ones: in men, systolic blood pressure was 129}15, 133}16, 138}18 and 143}21 mm Hg in MONICA, vs. 125}12, 129}15, 137}16 and 144}19 mm Hg in COLAUS, p<0.01. Similar findings were obtained after adjusting for education. Prevalence of hypertension increased, due to an increase in the prevalence of treated subjects, in men : 4, 8, 16 and 19% for age groups 35-44, 45-54, 55-64 and 65-74, respectively, in MONICA, vs. 5, 14, 31 and 46% in COLAUS, p<0.05; in women: 2, 10, 16, and 24% in MONICA, vs. 4, 12, 24, and 34% in COLAUS, p<0.05. This increase was stronger in men: 14, 17, 23 and 31% for age groups 35-44, 45-54, 55-64 and 65-74, respectively, in MONICA vs. 10, 21, 41 and 55% in COLAUS, p<0.01 and smaller in women: 6, 15, 24 and 44% in MONICA vs. 6, 16, 30 and 42% in COLAUS, p=NS. Similar findings were obtained after adjusting for education. Conclusion: With the exception of BMI, the newer Swiss generations appear to have a worse CV profile than the older generations. This is especially true regarding smoking and hypertension

Wood formation, girth trunk increment and phenology of two tree species from Atlantic rain forest in southern Brazil growing in two different soil conditions.

WorldDendro 2010

Relativistic correlation correction to the binding energies of the ground configuration of Beryllium-like, Neon-like, Magnesium-like and Argon-like ions

Total electronic correlation correction to the binding energies of the isoelectronic series of Beryllium, Neon, Magnesium and Argon, are calculated in the framework of relativistic multiconfiguration Dirac-Fock method. Convergence of the correlation energies is studied as the active set of orbitals is increased. The Breit interaction is treated fully self-consistently. The final results can be used in the accurately determination of atomic masses from highly charged ions data obtained in Penning-trap experiments.Comment: version soumise 3/08/200

No association between grip strength and cardiovascular risk: The CoLaus population-based study.

Decreased grip strength (GS) is predictive of cardiovascular (CV) disease but whether it improves CV risk prediction has not been evaluated. We assessed the predictive value of low GS on incident CV events and overall mortality taking into account CV risk equations in a population-based study from Switzerland. 2707 adults (54.8% women, age range 50-75years) were followed for a median time of 5.4years. GS was assessed using a hydraulic hand dynamometer. CV absolute risk at baseline was assessed using recalibrated SCORE, Framingham and PROCAM risk equations. Incident CV events were adjudicated by an independent committee. 160 deaths and 188 incident CV events occurred during follow-up. On bivariate analysis, low GS was associated with increased incident CV events: hazard ratio (HR) and (95% confidence interval) 1.76 (1.13-2.76), p<0.01 but not with overall mortality: HR=1.51 (0.94-2.45), p=0.09. The association between low GS and incident CV events disappeared after adjusting for baseline CV risk: HR=1.23 (0.79-1.94), p=0.36; 1.34 (0.86-2.10), p=0.20 and 1.47 (0.94-2.31), p=0.09 after adjusting for SCORE, Framingham and PROCAM scores, respectively. Low GS is not predictive of incident CV events when taking into account CV absolute risk

Of weekend warriors and couch potatoes: Socio-economic determinants of physical activity in Swiss middle-aged adults.

Determinants of the interplay between physical activity (PA) and sedentary (SE) status are poorly known. We assessed the socio-economic determinants of PA and SE behaviours and patterns in a population-based study (The CoLaus study, Lausanne, Switzerland, 2014-2017). 2229 adults (51.8% women, age range 45-86 years) had PA and SE levels measured for 14 days using a wrist-worn accelerometer. Four activity behaviours: (1) 'Couch potato': low PA & high SE; (2) 'Light mover': low PA & low SE; (3) 'Sedentary exerciser': high PA & high SE, and (4) 'Busy bee': high PA & low SE; and three activity patterns: (1) 'Inactive', (2) 'Weekend warrior', and (3) 'Regularly active' were defined. Employment, household income and educational level were collected by questionnaire. For activity behaviours, relative to 'Couch potatoes', multivariate analysis showed that being employed and having a low educational level were positively associated with 'Light movers': relative risk ratios and (95% confidence interval): 1.54 (1.00-2.37) and 1.73 (1.11-2.69), respectively, and also with 'Busy bees': 1.49 (1.09-2.04) and 1.71 (1.26-2.32), respectively. High household income was negatively associated with 'Light movers': 0.58 (0.34-0.97) and positively with 'Sedentary exercisers': 1.85 (1.10-3.10). For activity patterns, relative to 'Inactives', being employed and having a high household income were positively associated with 'Weekend warriors': 1.78 (1.26-2.50) and 1.59 (1.07-2.36), respectively, while having a low educational level was positively associated with 'Regularly actives': 1.76 (1.32-2.34). Employment, educational level and household income are significantly but differently associated with activity behaviours and patterns