11 research outputs found

    Hypertension and Exposure to Noise near Airports (HYENA): Study Design and Noise Exposure Assessment

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    An increasing number of people live near airports with considerable noise and air pollution. The Hypertension and Exposure to Noise near Airports (HYENA) project aims to assess the impact of airport-related noise exposure on blood pressure (BP) and cardiovascular disease using a cross-sectional study design. We selected 6,000 persons (45–70 years of age) who had lived at least 5 years near one of six major European airports. We used modeled aircraft noise contours, aiming to maximize exposure contrast. Automated BP instruments are used to reduce observer error. We designed a standardized questionnaire to collect data on annoyance, noise disturbance, and major confounders. Cortisol in saliva was collected in a subsample of the study population (n = 500) stratified by noise exposure level. To investigate short-term noise effects on BP and possible effects on nighttime BP dipping, we measured 24-hr BP and assessed continuous night noise in another sub-sample (n = 200). To ensure comparability between countries, we used common noise models to assess individual noise exposure, with a resolution of 1 dB(A). Modifiers of individual exposure, such as the orientation of living and bedroom toward roads, window-opening habits, and sound insulation, were assessed by the questionnaire. For four airports, we estimated exposure to air pollution to explore modifying effects of air pollution on cardiovascular disease. The project assesses exposure to traffic-related air pollutants, primarily using data from another project funded by the European Union (APMoSPHERE, Air Pollution Modelling for Support to Policy on Health and Environmental Risks in Europe)

    Hypertension and Exposure to Noise Near Airports: the HYENA Study

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    We compare two approaches for high-level power estimation of DSP components implemented in FPGAs for different sets of data streams from real-world applications. The first model is a power macro-model based on the Hamming distance of input signals. The second model is an analytical high-level power model based on switching activity computation and knowledge about the component’s internal structure, which has been improved to also consider additional information on the signal distribution of two consecutive input vectors. The results show that the accuracy of both models is, in most cases, within 10% of the low-level power estimates given by the tool XPower when cycle-bycycle input signal distributions are taken into account, and that the difference between the model accuracies depends significantly on the nature of the signals. Additionally, the effort required for the characterization and construction of the models for different component structures is discussed in detail

    Nasal polyps: Heredity, allergies, and environmental and occupational exposure

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    Objective: To determine the role of heredity, allergies, smoking, and environmental and occupational exposure in the epidemiology of nasal polyposis. Study Design: A case-control study comprising 100 patients with nasal polyps admitted to three Athens hospitals and 102 controls from the general population. Gender, educational level, family history, allergies, smoking, occupational activities, and environmental exposure were examined as eventual determinants. The prevalence of each determinant was compared between cases and controls using multiple logistic regression, and odds ratios (ORs) were estimated. Results: A total of 13.3% of the patients and none of the controls had a history of polyps in the family. According to multiple logistic regression, the OR for certain allergies was 19.1 and for probable allergy was 9.0, with the prevalence among patients being 64% and 12%, respectively. The OR for certain environmental exposures was 15.0 and for occupational exposures was 21.4. Occupational exposure to chemicals was a predominant factor among patients. No significant difference was found between nasal polyps and educational level or smoking habits. Conclusions: The development of nasal polyps seems to be strongly related to family history and a history of allergies, but the role of smoking remains controversial. Occupational and environmental exposures probably enhance the appearance of the disease on the basis of genetic predisposition. © 2011 The Canadian Society of Otolaryngology-Head & Neck Surgery

    A Diagnostic Chip for the Colorimetric Detection of <i>Legionella pneumophila</i> in Less than 3 h at the Point of Need

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    Legionella pneumophila has been pinpointed by the World Health Organization as the highest health burden of all waterborne pathogens in the European Union and is responsible for many disease outbreaks around the globe. Today, standard analysis methods (based on bacteria culturing onto agar plates) need several days (~12) in specialized analytical laboratories to yield results, not allowing for timely actions to prevent outbreaks. Over the last decades, great efforts have been made to develop more efficient waterborne pathogen diagnostics and faster analysis methods, requiring further advancement of microfluidics and sensors for simple, rapid, accurate, inexpensive, real-time, and on-site methods. Herein, a lab-on-a-chip device integrating sample preparation by accommodating bacteria capture, lysis, and DNA isothermal amplification with fast (less than 3 h) and highly sensitive, colorimetric end-point detection of L. pneumophila in water samples is presented, for use at the point of need. The method is based on the selective capture of viable bacteria on on-chip-immobilized and -lyophilized antibodies, lysis, the loop-mediated amplification (LAMP) of DNA, and end-point detection by a color change, observable by the naked eye and semiquantified by computational image analysis. Competitive advantages are demonstrated, such as low reagent consumption, portability and disposability, color change, storage at RT, and compliance with current legislation
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