Dust growth and its associated dynamics play key roles in the first phase of planet formation young stellar objects. Observations have detected signs dust very protoplanetary disks. Furthermore, formation, gaps disk at a distance several tens au from central protostar, are also reported. From theoretical point view, however, outer regions is difficult due to rapid inward drift dust, called radi...

Weather forecasting is a crucial phenomenon in today’s world. Though weather prediction is completely automated, with the help of tools like Weather Research & Forecasting (WRF), Advanced Research WRF (ARW), Weather Processing System (WPS), it’s a ever challenging and a topic of interest because prediction is not an accurate always. Weather forecasting is a continuous, high dimensional, dynamic...

Evidence from laboratory animals suggests that certain rates of deposition of dust can slow the normal clearance of the lungs by macrophages. If this occurs in humans, then estimates of exposure or dose for epidemiologic models may be improved by explicity incorporating this "overload" phenomenon into lung dose estimates. Using a model of dust overload, the authors estimated the lung dust dose ...

BACKGROUND Family members of laboratory animal workers are at risk of developing allergy to laboratory animals. Little is known about the spreading of laboratory animal allergens outside the animal facilities. OBJECTIVE To assess the presence of laboratory animal allergens in dust collected from mattresses of laboratory animal workers and unexposed controls. METHODS Mouse and rat urinary pr...

Icelandic topsoil sediments, as confirmed by numerous scientific studies, represent the largest and most important European source of mineral dust. Strong winds, connected with intensive cyclonic circulation in North Atlantic, induce intense emissions dust from local sources all year carry away these fine aerosol particles for thousands kilometers. Various impacts airborne on air quality, human...

The Sounding Analog Retrieval System (SARS) is a forecasting algorithm that uses sounding derived parameters to find historical severe weather events using a database of proximity soundings associated with a particular type of severe weather. From these matches, SARS arrives at probabilistic forecasts of the severe phenomenon. SARS finds analog matches based on a short list of thermodynamic and...

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