Contribution of fine particulate matter sources to indoor exposure in bars, restaurants, and cafes

This study investigated the contribution of sources and establishment characteristics, on the exposure to fine particulate matter (PM(2.5)) in the non-smoking sections of bars, cafes, and restaurants in central Zurich. PM(2.5)-exposure was determined with a nephelometer. A random sample of hospitality establishments was investigated on all weekdays, from morning until midnight. Each visit lasted 30 min. Numbers of smokers and other sources, such as candles and cooking processes, were recorded, as were seats, open windows, and open doors. Ambient air pollution data were obtained from public authorities. Data were analysed using robust MM regression. Over 14 warm, sunny days, 102 establishments were measured. Average establishment PM(2.5) concentrations were 64.7 microg/m(3) (s.d. = 73.2 microg/m(3), 30-min maximum 452.2 microg/m(3)). PM(2.5) was significantly associated with the number of smokers, percentage of seats occupied by smokers, and outdoor PM. Each smoker increased PM(2.5) on average by 15 microg/m(3). No associations were found with other sources, open doors or open windows. Bars had more smoking guests and showed significantly higher concentrations than restaurants and cafes. Smokers were the most important PM(2.5)-source in hospitality establishments, while outdoor PM defined the baseline. Concentrations are expected to be even higher during colder, unpleasant times of the year. PRACTICAL IMPLICATIONS: Smokers and ambient air pollution are the most important sources of fine airborne particulate matter (PM(2.5)) in the non-smoking sections of bars, restaurants, and cafes. Other sources do not significantly contribute to PM(2.5)-levels, while opening doors and windows is not an efficient means of removing pollutants. First, this demonstrates the impact that even a few smokers can have in affecting particle levels. Second, it implies that creating non-smoking sections, and using natural ventilation, is not sufficient to bring PM(2.5) to levels that imply no harm for employees and non-smoking clients. [Authors]

Síndrome del dolor regional complejo tipo I en las fracturas del extremo distal del radio

Introducción: Las fracturas distales de radio (FDR) presentan diferentes resultadosfuncionales siendo desfavorables entre el 24% y el 31% de los casos. Una de lascomplicaciones más frecuentes es el síndrome del dolor regional complejo tipo I(SDRC-I), cuyo origen es desconocido. Sólo el 20-30% de los pacientes recuperarán sugrado de funcionalidad anterior.Objetivos: Estimar la prevalencia de SDRC-I tras una FDR de acuerdo a cuatro tipos detratamiento.Métodos: estudio de una serie de casos retrospectivos. La población de referencia hansido los 391 trabajadores afiliados a una Mutua en Cataluña y diagnosticados deFDR tras una lesión por accidente laboral durante lo años 2008-2010.Los casos han sido trabajadores accidentados que tras una FDR desarrollaron el SDRCI.Como variable dependiente se ha utilizado el diagnóstico de SDRC-I; como variablesindependientes el tipo de tratamiento, la edad, el sexo, la ocupación y el mecanismo dela lesión.Resultados: el 19,7% de la muestra ha desarrollado SDRC-I, siendo esta prevalenciasuperior en los pacientes intervenidos mediante la técnica de tracción bipolar o conagujas de Kirschner; 29,17% y 30,56% respectivamente, que para aquellos en los quese ha realizado un tratamiento conservador o una intervención quirúrgica con placa en Ty tornillos; 15,92% y 15,79%.Conclusiones El tratamiento conservador y la técnica quirúrgica de fijación con placaen T y tornillos han dado una menor prevalencia de SDRC-I.Los mecanismos de lesión asociados a una mayor fuerza presentan fracturas másinestables y requieren un tratamiento quirúrgico. Los tratamientos conservadores sonlos más usados en edades mayores relacionados con fracturas estables.A nivel clínico se extrae una recomendación profiláctica con Vitamina C para evitar laaparición de SDRC-I sobre los pacientes de edad comprendida entre los 36 y los 55años, con mecanismo lesional de caída o caída desde altura, intervenidos con agujas de Kirschner o tracción bipolar.

Production of nanometric particles in radio frequency glow discharges in mixtures of silane and methane

The formation of silicon particles in rf glow discharges has attracted attention due to their effect as a contaminant during film deposition or etching. However, silicon and silicon alloy powders produced by plasma¿enhanced chemical vapor deposition (PECVD) are promising new materials for sintering ceramics, for making nanoscale filters, or for supporting catalytic surfaces. Common characteristics of these powders are their high purity and the easy control of their stoichiometry through the composition of the precursor gas mixture. Plasma parameters also influence their structure. Nanometric powders of silicon¿carbon alloys exhibiting microstructural properties such as large hydrogen content and high surface/volume ratio have been produced in a PECVD reactor using mixtures of silane and methane at low pressure (-1 Torr) and low frequency square¿wave modulated rf power (13.56 MHz). The a¿Si1¿xCx:H powders were obtained from different precursor gas mixtures, from R=0.05 to R=9, where R=[SiH4]/([SiH4]+[CH4]). The structure of the a¿Si1¿xCx:H powder was analyzed by several techniques. The particles appeared agglomerated, with a wide size distribution between 5 and 100 nm. The silane/methane gas mixture determined the vibrational features of these powders in the infrared. Silicon-hydrogen groups were present for every gas composition, whereas carbon¿hydrogen and silicon¿carbon bonds appeared in methane¿rich mixtures (R-0.6). The thermal desorption of hydrogen revealed two main evolutions at about 375 and 660¿°C that were ascribed to hydrogen bonded to silicon and carbon, respectively. The estimated hydrogen atom concentration in the sample was about 50%.

An Adaptive Field Detection Method For Bridge Scour Monitoring Using Motion-Sensing Radio Transponders (RFIDs), TR-617, 2014

A comprehensive field detection method is proposed that is aimed at developing advanced capability for reliable monitoring, inspection and life estimation of bridge infrastructure. The goal is to utilize Motion-Sensing Radio Transponders (RFIDS) on fully adaptive bridge monitoring to minimize the problems inherent in human inspections of bridges. We developed a novel integrated condition-based maintenance (CBM) framework integrating transformative research in RFID sensors and sensing architecture, for in-situ scour monitoring, state-of-the-art computationally efficient multiscale modeling for scour assessment.