Common bioaerosols, related diseases and typical sources Bioaerosol Examples of diseases Common sources Pollens hay fever plants, trees, grasses, ferns harvesting, cutting, Spores allergic rhinoconjunctivitis shiploading Plant parts asthma upper airway irritation Fungi asthma, allergic diseases plant material, skin, leather, oils; bird, bat and infection animal droppings; feathers, soil nutrients, toxicosis glues, wool tumours Bacteria endotoxicosis humans, birds and animals (e.g., saliva, blood, tuberculosis dental secretions, skin, vomit, urine, faeces) pneumonia, respiratory and wound water sprays and surf, humidifiers, hot tubes, infections, legionellosis, Q and pools, drinking water, cooling towers pontiac fever Other allergen sources asthma mite excreta, insect parts (cockroach, spiders, Arthropods dermatitis moths, midge) Vertebrates hypersensitivity dander and saliva from cats, dogs, rabbits, pneumonitic mice and rats, bird serum, farm animal dander Virusesa respiratory infections, colds, infected humans, animal excreta, measles, mumps, hepatitis A, insect vectors, protozoab influenza, chicken pox, Hanta virus a Viruses are included in table for completeness but are not covered in this chapter.
In any case, the statistical relationship between biological toxicant levels and average toxicant levels in settled dust levels across large areas in which a person may be exposed are likely to be better than the relationship between biological levels and a potential high-dose source of toxicant exposure for a short period of time.
(continued) Location Pollutant Participant characteristics Survey characteristics Spatial and source Reference characteristics Denver, CO 452 adults aged 18-65; 1982-1983 (winter); diary; 8 locations; transport Johnson, 1984 Colorado, representative; oversample questionnaire; minute mode; activity index; USA gas ranges and long commutes; resolution; 2-day sample; smokers present; range use; excluded smokers; data on time of year; day of week; in gavage; census tracts age, gender, work status time of day for work, home, other; housing unit characteristics Elizabeth/ VOCs 355 people; representative; Fall 1981; follow-up: 157 Activities > 1 h; high Wallace et al., Bayonne, oversampled high-exposure in summer 1982; follow-up: exposure activities (e.g., 1985, 1986 New Jersey, occupations; data on age, 49 in early 1983; 24-h smokers, occupations, USA gender, race, socio-economic recall diary; activity travel); proximity to status, and proximity to questionnaire industry; housing unit VOC sources characteristics Portage, NO2, RSP 120 children; selected from 1987; retrospective, actual, 11 microenvironments; home Adair & Spengler, Wisconsin larger (600) cohort; and prospective diary; zip codes; school location; 1989a,b stratified by cooking fuel; 10-15-min resolution; time housing unit characteristics data on gender, age, of year; day of week; time parental education of day Steubenville, NO2, RSP 150 winter, 250 summer; 1987; retrospective actual 11 microenvironments; home Adair & Spengler Ohio selected from cohort of 600 and prospective diary; zip codes; school location; 1989a,b children; stratified by 10-15-min resolution; time housing unit characteristics cooking fuel; data on gender, of year; day of week; age, parental education time of day.
Simulating these PNs, we can observe changes in the availability of resources over time and obtain a stochastic differential equation (SDE) which models the hospital�s proximity to entering a divert state (in a Euclidean sense).
19); specific work); traffic categories Milano; random population sample; tasks Praha demographic and socio-economic status Washington, CO 700 adults aged 18-65; 1982-1983 (winter); diary 8 locations; transport Hartwell et al., USA representative; oversample and questionnaire; minute mode use; activity index; 1984; Akland et long commutes and gas resolution; 1-day sample; smokers present; range use; al., 1985 ranges; excluded smokers; time of year; day of week in gavage; census tracts data on age, gender, work and day for work, home, other; status housing unit characteristics Table 15.
The primary idea of the similarity matching scheme for spam detection is to maintain a known spam database, formed by user feedback, to block subsequent near-duplicate spams.
The results indicate the capability of the model to preserve these statistical properties.
Key words: Precipitation, data generation, frequency distribution, Multi-sites data generation models, Occurrence of wet and dry days state, Chi-square test, Kolmogorov-Smirnov test.
 AKSOY H., 2000,"Use of Gamma Distribution in Hydrological Analysis", Turk J Engin Environ Sci, 24: 419-428.
 Apipattanavis S., Podesta G.
Most projects of these natures have not been adopted by the small farmers, either because the final design and data collection procedures are frequently inappropriate or the cost has remained inaccessible and the subsequent transfer of technology from researcher to the end user has been anything but effective.
The realization of shunt APF is carried out using a three-phase, four-leg Voltage Source Inverter (VSI), The performance of the applied control algorithm is evaluated in terms of power-factor correction, source neutral current mitigation, load balancing, and mitigation of voltage and current harmonics in a three-phase, four-wire distribution system for different combinations of linear and non-linear loads.
The task of source separation is to identify the multiple channels and possibly to invert those in order to obtain estimates of the underlying sources.
& laksanaboonsong, J., A model for calculating hourly global solar radiation from satellite data in the tropics, International Journal of Applied Energy 86(9), 2009, 1450-1457.
Jamil Ahmad, Estimation of global solar radiation using clear sky radiation in Yemen, Journal of Engineering Science and Technology Review 5(2), 2012, 12-19.
 Zarzo Manuel, Marti Pau, Modelling the variability of solar radiation data among weather stations by means of principal components analysis, International Journal of Applied Energy 88(8), 2011, 2775-2784.
 Janjai, S.
In this paper, maintaining 55% Efficiency throughout the year, as per Performance Specifications of an Evacuated Flat Plate Collector, and its characterization based on the annual average analysis of Radiation data, the Mean Desired Temperature range is calculated month wise, and also annual average Energy Gain is realized for different locations across India.
Key words: absorber, Evacuated Flat plate Collector, serpentine tube.
 Dimas Firmanda Al Riza, Syed Ihtsham ul Haq Gilani, and Mohd.