A predictive model for the home outdoor exposure to nitrogen dioxide

The aim of this study is to find and test a predictive model that could be suitable to estimate the outdoor NO(2) concentrations at individual level, by integrating ecological measurements recorded by local monitoring stations with individual information collected by a questionnaire. For this purpose, the data from the Italian centres of the European Community Respiratory Health Survey II (ECRHS II) has been used. Outdoor NO(2) concentrations were measured using NO(2) passive sampling tubes (PS-NO(2)), exposed outdoor for 14 days, between January 2001 and January 2003. Simultaneously, average NO(2) concentrations were collected from all the monitoring stations of the three centres (MS-NO(2)). Individual measurements carried out with passive samplers were compared with the corresponding NO(2) 2-week concentrations obtained as the average of all local (background and traffic) monitoring stations (MS-NO(2)). A multiple linear regression model was fitted to the data using the 2-week PS-NO(2) concentrations as the response variable and questionnaire information and MS-NO(2) concentrations as predictors. The model minimizing the root mean square error (RMSE), obtained from a ten-fold cross validation, was selected. The model with the best predictive ability included centre, season of the survey, MS-NO(2) concentrations, type and age of building, residential area and reported intensity of heavy-duty traffic and explained the 68.9% of the variance. The non-parametric correlation between PS-NO(2) and the concentrations estimated by the model is 0.81 (95% CI: 0.77-0.85). This study shows that over short periods (2 weeks) a good prediction of home outdoor exposure to NO(2) can be achieved by simply combining routinely collected ecological data with dwelling characteristics and self-reported intensity of heavy traffic. Further studies are needed to extend this prediction to long-term exposure.     

20 Jahre IT-Sicherheitszertifizierung

W?hrend es in den ersten beiden Teilen der Beitragsserie um die Motivation und Etablierung des beh?rdlichen Zertifizierungsschemas in Deutschland bis 1997 ging, blicken wir im dritten Teil auf die n?chsten zehn Jahre 1998–2007 zurück.     

Age of entry to day nursery and allergy in later childhood

BACKGROUND: Infections in early childhood may prevent allergies in later life. If this hypothesis is true, early exposure to childcare outside the home would protect against atopy by promotion of cross infections. We investigated whether children who attend a nursery at a young age have a lower rate of atopy and fewer allergies than children who attend from an older age. METHODS: In a cross-sectional study carried out in 1992-93, we examined 2471 children in three age-groups (5-7, 8-10, and 11-14 years) from the towns of Bitterfeld, Hettstedt, and Zerbst in eastern Germany. The children's parents answered a questionnaire about allergies and symptoms, attendance at day care, and related factors. Sensitisation was assessed by skin-prick tests and measurement of allergen-specific IgE antibodies in serum. FINDINGS: In 669 children from small families (up to three people), the prevalence of atopy was higher among children who started to attend day nursery at an older age than in those who started to attend at a younger age (p<0.05). Compared with children who first attended at age 6-11 months, the adjusted odds ratios for a positive skin-prick test were 1.99 (95% CI 1.08-3.66) for children who attended at age 12-23 months and 2.72 (1.37-5.40) for those who attended at age 24 months and older. In 1761 children from large families (more than three people), age of entry to day nursery had no effect on atopy. INTERPRETATION: Our findings accord with the hypothesis that early infection may protect against allergies in later life.     

Single-sweep analysis of event-related potentials by waveletnetworks-methodological basis and clinical application

OBJECTIVE: Trial-to-trial variabilities in event-related potentials (ERP's), which are neglected by investigating averaged ERP's, can be important to establish group-specific effects in clinical studies. Single ERP responses have to be analyzed to quantify these variations. In order to overcome the disadvantages of existing single-sweep estimators, we have developed a new procedure based on wavelet networks (WN's) and applied this novel approach in a study concerning attention deficit hyperactivity disorder (ADHD) in children. METHOD: WN's represent signals as a linear combination of wavelet nodes, i.e., components characterized by time-frequency features related to the wavelet transformation. In single-sweep analysis, each wavelet node is restricted to a specific region of the time-frequency plane during the recursive WN training process. This is achieved by means of tapering and bandpass filtering with Gaussian functions which are automatically adapted and closely related to the Morlet basis wavelet. The time course of a single event-related response can be reliably estimated. Furthermore, the WN method automatically provides well-defined parameters for single event-related responses, respectively ERP trial-to-trial variabilities. RESULTS: In a psychophysiological study on ADHD using auditory evoked potentials (AEP's), latency and amplitude parameters extracted from averaged ERP's did not reveal any significant differences between 25 control and 25 ADHD boys. In contrast, interesting group-specific differences could be established by WN single-sweep analysis. CONCLUSION: WN single-sweep analysis can be recommended as a sensitive tool for clinical ERP studies which should be applied in addition to the investigation of averaged responses. INDEX TERMS: Attention deficit hyperactivity disorder (ADHD), event-related potentials, single-sweep estimation, single-sweep parameterization, time-frequency method, wavelet networks.     

20 Jahre IT-Sicherheitszertifizierung

In den drei vorausgegangenen Teilen dieser Beitragsserie ging es um die Motivation und Etablierung der beh?rdlichen und privaten Zertifizierungsschemata in Deutsch land. In diesem letzten Teil betrachten die Autoren die aktuelle Entwicklung und m?gliche Perspektiven.     

Acquisition and Optimization of Three-Dimensional Spray Footprint Profiles for Coating Simulations

For the simulation of thermal spray coating build-up and the prediction of the coating-thickness distribution on given workpieces, an accurate representation of the mass flow emitted from the spray torch is essential. For two-dimensional (2D) simulations, this flow function often is acquired by measuring the coating thickness in cross-sectional profiles of linear spray beads, and for 3D simulations, usually some form of rotationally symmetric normal distribution function is fitted to measured profile data. However, when using free-formed complex workpieces or arbitrary and nonuniform spray paths, more realistic, nonsymmetric, and 3D flow functions are required. We present an approach to acquire accurate and fully 3D flow distribution functions by measuring 3D coating profiles which result from spraying onto a flat surface with a stationary gun, and improving them by means of a developed optimization method that takes more precise cross-sectional measurements into account. This approach thus combines the advantages of the higher accuracy of 2D measurements while fully preserving the 3D characteristics of the measured profile.     

A possible role for soluble IL-6 receptor in the pathogenesis of systemic onset juvenile chronic arthritis

Investigation of the agonist and two antagonists to interleukin 6 (IL-6) and their possible role in the pathogenesis of different sub-groups of juvenile chronic arthritis (JCA). Sera of 54 patients and 10 age-matched controls were tested: 20 with pauci-articular JCA, 12 with polyarticular JCA, and 22 systemic JCA. Interleukin 6, soluble interleukin 6 receptor (agonist), soluble gp130 and autoantibodies to IL-6 (antagonist to IL-6) were measured, as well as C-reactive protein as an indicator of disease activity. In addition, during fever two systemic JCA patients were analysed longitudinally for these parameters. There was a significant increase in soluble IL-6 receptor (sIL-6R) concentrations. No difference in the levels of soluble gp130 and autoantibodies to IL-6 in the systemic JCA group was found. In two patients the fever curves corresponded to the IL-6 levels measured. sIL-6R serum concentrations also showed a tendency to follow the fever. The authors have shown that in systemic JCA, the levels of sIL-6R, agonist of IL-6, were increased significantly compared to the other groups, while levels of antagonists to IL-6 were not changed in the face of increased levels of IL-6 in systemic JCA. These results suggest an imbalance of IL-6 homeostasis.     

PLA2 promotes fusion between PMN-specific granules and complex liposomes

Neutrophil stimulation results in the activation of a variety of phospholipases, including phospholipase A2 (PLA2), which releases arachidonic acid from the 2 position of membrane phospholipids, leaving a lysophospholipid. Because arachidonic acid is known to be a potent fusogen in vitro, we examined the effect of metabolism by PLA2 on the fusion of complex liposomes (liposomes prepared with a phospholipid composition similar to that found in neutrophil plasma membrane). We observed that PLA2 augmented the fusion of complex liposomes with each other as well as with specific granules isolated from human neutrophils, lowering the Ca2+ requirement for fusion by three orders of magnitude. Furthermore, although lysophospholipids inhibited fusion, the incorporation of arachidonic acid into liposome membranes overcame the inhibitory effects of the lysophospholipids. Thus with PLA2 and annexins we were able to obtain fusion of complex liposomes at concentrations of Ca2+ that are close to physiological. Our data suggest that the activation of PLA2 and the generation of arachidonic acid may be the major fusion-promoting event mediating neutrophil degranulation.