on Catalytic Reactions Induced by Enzymes. 1

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Age-related influences on markers of inflammation and fibrinolysis.

Purpose. The primary purpose of this investigation was to determine if age is associated with blood markers of inflammation (C-reactive protein [CRP]) and fibrinolysis (fibrinogen, tissue plasminogen activator [t-PA], and plasminogen activator inhibitor - 1 [PAI-1]), independent of body fat and physical activity levels.Conclusions. The primary finding of the current study is that age is not independently associated with blood concentrations of CRP, fibrinogen, tPA or PAI-1. However, it was observed that inflammation and fibrinolysis were associated with blood pressure, cholesterol levels, and measures of body fatness. These associations provide a possible explanation for the discrepancy between our findings and those of previous studies which did not control for such factors.Results. Age was not associated with concentrations of CRP (r = -0.073, p = 0.519). CRP was significantly correlated (p < 0.05) to HDL levels (r = -0.255), BMI (r = 0.304), percent body fat (r = 0.221) and trunk fat mass (r = 0.234). Of these, BMI was the only significant predictor (r2 = 0.095, p = 0.002) of CRP levels. Age was not correlated with fibrinogen (r = 0.206, p = 0.065), or PAI-1 (r = 0.084, p = 0.454), but was initially correlated with t-PA (r = 0.228, p = 0.042). The markers of fibrinolysis were correlated (p < 0.05) with blood pressure, HDL, triglycerides, percent body fat, body fat mass, percent trunk fat, and trunk fat mass. However, none of these variables or age were independent predictors of blood concentrations of fibrinogen (r2 = 0.237, p = 0.226), t-PA (r2 = 0.079, p = 0.636), or PAI - 1 (r2 = 0.137, p = 0.333).Methods. A total of 40 healthy males and 42 healthy females ranging in age from 21 to 89 years participated in this cross-sectional study. Blood levels of CRP, fibrinogen, t-PA, and PAI-1 were measured and compared with age, clinical characteristics, physical activity levels, and body composition. Body composition was assessed with dual-energy x-ray absorptiometry and physical activity was assessed with a StepWatch Activity Monitor

Phase Transition Enthalpy Measurements of Organic and Organometallic Compounds. Sublimation, Vaporization and Fusion Enthalpies From 1880 to 2010

Article on phase transition enthalpy measurements of organic and organometallic compounds, sublimation, and vaporization and fusion enthalpies from 1880 to 2010

Phase Change Enthalpies and Entropies of Liquid Crystals

Article on phase change enthalpies and entropies of liquid crystals

Generalized molecular solvation in non-aqueous solutions by a single parameter implicit solvation scheme

In computer simulations of solvation effects on chemical reactions, continuum modeling techniques regain popularity as a way to efficiently circumvent an otherwise costly sampling of solvent degrees of freedom. As effective techniques, such implicit solvation models always depend on a number of parameters that need to be determined earlier. In the past, the focus lay mostly on an accurate parametrization of water models. Yet, non-aqueous solvents have recently attracted increasing atten- tion, in particular, for the design of battery materials. To this end, we present a systematic parametrization protocol for the Self-Consistent Continuum Solvation (SCCS) model resulting in optimized parameters for 67 non-aqueous solvents. Our parametrization is based on a collection of ≈6000 experimentally measured partition coefficients, which we collected in the Solv@TUM database presented here. The accuracy of our optimized SCCS model is comparable to the well-known universal continuum solvation model (SMx) family of methods, while relying on only a single fit parameter and thereby largely reducing sta- tistical noise. Furthermore, slightly modifying the non-electrostatic terms of the model, we present the SCCS-P solvation model as a more accurate alternative, in particular, for aromatic solutes. Finally, we show that SCCS parameters can, to a good degree of accuracy, also be predicted for solvents outside the database using merely the dielectric bulk permittivity of the solvent of choice