Graphitized carbon black in quartz tubes for the sampling of indoor air nicotine and analysis by microwave thermal desorption-capillary gas chromatography

Nicotine in a smoky indoor air environment can be determined using graphitized carbon black as a solid sorbent in quartz tubes. The temperature stability, high purity, and heat absorption characteristics of the sorbent, as well as the permeability of the quartz tubes to microwaves, enable the thermal desorption by means of microwaves after active sampling. Permeation and dynamic dilution procedures for the generation of nicotine in the vapor phase at low and high concentrations are used to evaluate the performances of the sampler. Tube preparation is described and the microwave desorption temperature is measured. Breakthrough volume is determined to allow sampling at 0.1-1 L/min for definite periods of time. The procedure is tested for the determination of gas and paticulate phase nicotine in sidestream smoke produced in an experimental chamber.

Effet d'une intervention environnementale sur une problématique de type "indoor" en Suisse

Au printemps 2012, des employés administratifs, ayant récemment emménagé dans un nouveau bâtiment à hautes performances énergétiques, se plaignent de problèmes de santé et de gênes compatibles avec un syndrome du bâtiment malsain. L'employeur a entendu les plaintes des collaborateurs, et choisit une intervention unique, consistant à poser des ouvrants afin de fournir une ventilation naturelle. Parallèlement, il commande à des spécialistes MSST une étude sur l'impact de la mesure sur les plaintes exprimées par les employés. La littérature recommande quant à elle de prendre en charge ce type de problématique de façon itérative, et en abordant de multiples aspects (qualité de l'air, psycho-sociaux, organisationnels). Au vu des nombreuses plaintes de la population, et de la disponibilité de ces données, une analyse détaillée, de cohorte, est proposée dans ce travail de master, dont les objectifs seront de caractériser les plaintes des collaborateurs travaillant dans le bâtiment administratif, de diagnostiquer le type de problématique présent, de déterminer si l'on observe une atténuation des symptômes dans ce bâtiment suite à l'intervention unique de pose des ouvrants, et d'isoler si possible d'autres déterminants d'une évolution favorable ou défavorable de la symptomatologie en présence d'une intervention unique. Une étude de cohorte est menée sur les données récoltées par un questionnaire, basé sur le questionnaire MM40, en mars 2012 (T0) et mars 2013 (T1). La population est décrite, puis des analyses descriptives et par régression logistique sont réalisées. La participation a été importante. Entre T0 et T1, après la pose des ouvrants, le nombre de plaintes et symptômes a diminué, mais la prévalence des plaintes reste importante (odeurs, ventilation, bruit, etc.). Les plaintes et les symptômes mis en évidence sont retrouvés dans la littérature, et sont peu spécifiques à la problématique de ce bâtiment, situé en Suisse. De nouvelles pistes d'intervention sont proposées au vu des résultats trouvés.

Improved predictive mapping of indoor radon concentrations using ensemble regression trees based on automatic clustering of geological units.

PURPOSE: According to estimations around 230 people die as a result of radon exposure in Switzerland. This public health concern makes reliable indoor radon prediction and mapping methods necessary in order to improve risk communication to the public. The aim of this study was to develop an automated method to classify lithological units according to their radon characteristics and to develop mapping and predictive tools in order to improve local radon prediction. METHOD: About 240 000 indoor radon concentration (IRC) measurements in about 150 000 buildings were available for our analysis. The automated classification of lithological units was based on k-medoids clustering via pair-wise Kolmogorov distances between IRC distributions of lithological units. For IRC mapping and prediction we used random forests and Bayesian additive regression trees (BART). RESULTS: The automated classification groups lithological units well in terms of their IRC characteristics. Especially the IRC differences in metamorphic rocks like gneiss are well revealed by this method. The maps produced by random forests soundly represent the regional difference of IRCs in Switzerland and improve the spatial detail compared to existing approaches. We could explain 33% of the variations in IRC data with random forests. Additionally, the influence of a variable evaluated by random forests shows that building characteristics are less important predictors for IRCs than spatial/geological influences. BART could explain 29% of IRC variability and produced maps that indicate the prediction uncertainty. CONCLUSION: Ensemble regression trees are a powerful tool to model and understand the multidimensional influences on IRCs. Automatic clustering of lithological units complements this method by facilitating the interpretation of radon properties of rock types. This study provides an important element for radon risk communication. Future approaches should consider taking into account further variables like soil gas radon measurements as well as more detailed geological information.

Moral Disengagement in the Legitimation and Realization of Aggressive Behaviors in Soccer and Ice Hockey

The aim of the present study was to test the effect of moral disengagement on the tolerance and realization of aggressive acts in male soccer and ice hockey players in Switzerland. One hundred and four soccer and 98 ice hockey players evaluated the legitimacy of four videotaped aggressive behaviors and completed a questionnaire that included a moral disengagement scale and self-reported aggression. The level of moral disengagement, which mediates the effects of perceived coach and ego attitudes toward transgressions, largely explains the tolerance of hostile aggression within teams, as well as the level of high aggressive acts reported by the participants.