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Michael H. Bergin

Researcher at Duke University

Publications -  146
Citations -  9138

Michael H. Bergin is an academic researcher from Duke University. The author has contributed to research in topics: Aerosol & Snow. The author has an hindex of 47, co-authored 141 publications receiving 7749 citations. Previous affiliations of Michael H. Bergin include Climate Monitoring and Diagnostics Laboratory & Cooperative Institute for Research in Environmental Sciences.

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Malondialdehyde in Nasal Fluid: A Biomarker for Monitoring Asthma Control in Relation to Air Pollution Exposure.

TL;DR: It is confirmed that oxidative stress plays an important role in linking air pollution exposure and adverse respiratory health effects, and that MDA in the nasal fluid may serve as a useful biomarker for monitoring asthma status, especially in relation to PM2.5 and O3 exposure.
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Municipal solid waste and dung cake burning: discoloring the Taj Mahal and human health impacts in Agra

TL;DR: In this article, the authors used spatially detailed emission estimates and air quality modeling and found that open municipal solid waste burning leads to about 150 (±130) mg m−2 yr−1 of PM2.5 being deposited to the surface of the Taj Mahal compared to about 12 (±3.2) mgm−2 year−1 from dung cake burning.
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Temporal and spatial variability of snow accumulation in central Greenland

TL;DR: In this article, a regression has been calculated to quantify the signal-to-noise variance ratio of ice core accumulation signals on a variety of temporal (1 week to 2 years) and spatial (20 m to 200 km) scales.
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Effect of frailty on 6-month outcome after traumatic brain injury: a multicentre cohort study with external validation

Stefania Galimberti, +328 more
- 01 Feb 2022 - 
TL;DR: A frailty index specific to traumatic brain injury was developed and externally validated and could help to individualise rehabilitation approaches aimed at mitigating effects of frailty in patients withtraumatic brain injury.
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A method for the analysis of ultra-trace levels of semi-volatile and non-volatile organic compounds in snow and application to a Greenland snow pit

TL;DR: In this paper, a method was developed to quantify a suite of organic compounds from snow melt water samples present at trace level concentrations, using a dichloromethane liquid-liquid extraction and GC-MS.