Quantification of the Spatial Variation and Source Contributions to Ambient Particle-Bound PAHs Using Aerosol Mass Spectrometry. [PDF]
Oladeji O, Presto AA.
europepmc +1 more source
Microplastics in the Human Nasal Cavity and Upper Airway: Emerging Evidence and Rhinologic Implications. [PDF]
Min HJ.
europepmc +1 more source
Seasonal Algae and Nutrient Removal by Polyaluminum Chloride and Chitosan in a Drinking Water Reservoir. [PDF]
Dai K +7 more
europepmc +1 more source
A potential stormwater management intervention: Compost incorporation improves infiltration rate and associated soil hydro-physical properties. [PDF]
Islam MM, McLaughlin RA, Heitman JL.
europepmc +1 more source
Contribution from indoor sources to particle number and mass concentrations in residential houses [PDF]
As part of a large study investigating indoor air in residential houses in Brisbane, Australia, the purpose of this work\ud was to quantify emission characteristics of indoor particle sources in 15 houses.
Lidia Morawska +2 more
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Sources and source contributions to fine particles
Biomarkers, 2009Fine dust is currently seen is one of the major issues in air quality as being responsible for causing negative health effects. Hence it is important to derive information on particle sources and their contribution to the ambient concentrations. This paper reviews two recent studies related to fine particle sources in Germany.
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Particle flux and particle density source due to gyro-center heat source
Physics of Plasmas, 2021A particle flux induced by a source in the gyro-center phase space is investigated through push-forward representations of the particle flux. The difference between the particle and gyro-center density sources is represented by the divergence of the particle flux due to the source in the gyro-center space. A gradient of a gyro-center perpendicular heat
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Source separation using particle filters
Interspeech 2004, 2004Our goal is to study the statistical methods for source separation based on temporal and frequency specific features by using particle filtering. Particle filtering is an advanced state-space Bayesian estimation technique that supports non-Gaussian and nonlinear models along with time-varying noise, allowing for a more accurate model of the underlying ...
Mital Gandhi, Mark Hasegawa-Johnson
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Particle sources and radiography
Science & Global Security, 1990(1990). Particle sources and radiography. Science & Global Security: Vol. 1, Detecting Nuclear Warheads, pp. 287-302.
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