Publications by authors named "A Holen"

Objectives: To explore how women aged 50-69 invited to BreastScreen Norway perceived the information provided along with the invitation letter, as well as time spent on reading this information.

Methods: An anonymous questionnaire was sent, as a paper-based form along with a physical invitation letter, or as a link to a digital form in a digital invitation letter, to 84,543 women invited to BreastScreen Norway in 2022. The paper-based forms were handed in upon screening attendance.

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The prevailing view for aqueous secondary aerosol formation is that it occurs in clouds and fogs, owing to the large liquid water content compared to minute levels in fine particles. Our research indicates that this view may need reevaluation due to enhancements in aqueous reactions in highly concentrated small particles. Here, we show that low temperature can play a role through a unique effect on particle pH that can substantially modulate secondary aerosol formation.

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Article Synopsis
  • EPFRs are significant pollutants linked to air quality issues, especially in Fairbanks, Alaska, where they were studied during winter 2022.
  • High concentrations of EPFRs were found during temperature inversions and were associated with markers of incomplete combustion, including carbon monoxide and elemental carbon.
  • Exposure to EPFR levels can be comparable to smoking 0.4-1 cigarette daily, and they may induce oxidative stress in the respiratory system based on their strong correlation with hydroxyl radical formation.
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Purpose: To investigate attitudes and perspectives on the use of artificial intelligence (AI) in the assessment of screening mammograms among women invited to BreastScreen Norway.

Method: An anonymous survey was sent to all women invited to BreastScreen Norway during the study period, October 10, 2022, to December 25, 2022 (n = 84,543). Questions were answered on a 10-point Likert scale and as multiple-choice, addressing knowledge of AI, willingness to participate in AI studies, information needs, confidence in AI results and AI assisted reading strategies, and thoughts on concerns and benefits of AI in mammography screening.

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The Alaskan Layered Pollution And Chemical Analysis (ALPACA) field experiment was a collaborative study designed to improve understanding of pollution sources and chemical processes during winter (cold climate and low-photochemical activity), to investigate indoor pollution, and to study dispersion of pollution as affected by frequent temperature inversions. A number of the research goals were motivated by questions raised by residents of Fairbanks, Alaska, where the study was held. This paper describes the measurement strategies and the conditions encountered during the January and February 2022 field experiment, and reports early examples of how the measurements addressed research goals, particularly those of interest to the residents.

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