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Several locations across the United States in non-compliance with the national standard for ground-level ozone (O) are thought to have sizeable influences from distant extra-regional emission sources or natural stratospheric O, which complicates design of local emission control measures. To quantify the amount of long-range transported O (LRT O), its origin, and change over time, we conduct and analyze detailed sensitivity calculations characterizing the response of O to emissions from different source regions across the Northern Hemisphere in conjunction with multi-decadal simulations of tropospheric O distributions and changes. Model calculations show that the amount of O at any location attributable to sources outside North America varies both spatially and seasonally. On a seasonal-mean basis, during 1990-2010, LRT O attributable to international sources steadily increased by 0.06-0.2 ppb yr at locations across the United States and arose from superposition of unequal and contrasting trends in individual source-region contributions, which help inform attribution of the trend evident in O measurements. Contributions of emissions from Europe steadily declined through 2010, while those from Asian emissions increased and remained dominant. Steadily rising NO emissions from international shipping resulted in increasing contributions to LRT O, comparable to those from Asian emissions in recent years. Central American emissions contribute a significant fraction of LRT O in southwestern United States. In addition to the LRT O attributable to emissions outside of North America, background O across the continental United States is comprised of a sizeable and spatially variable fraction that is of stratospheric origin (29-78%).
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http://dx.doi.org/10.1029/2022jd036926 | DOI Listing |
Am J Emerg Med
September 2025
University of Toronto, Rotman School of Management, Canada.
Study Objective: Accurately predicting which Emergency Department (ED) patients are at high risk of leaving without being seen (LWBS) could enable targeted interventions aimed at reducing LWBS rates. Machine Learning (ML) models that dynamically update these risk predictions as patients experience more time waiting were developed and validated, in order to improve the prediction accuracy and correctly identify more patients who LWBS.
Methods: The study was deemed quality improvement by the institutional review board, and collected all patient visits to the ED of a large academic medical campus over 24 months.
Arch Gerontol Geriatr
August 2025
Aerospace Center Hospital, Peking University Aerospace School of Clinical Medicine, Beijing 100049, China. Electronic address:
Background: Frailty is a dynamic condition that may affect mental health. This study aimed to investigate the associations of frailty and its changes with the risks of depressive symptoms across multiple regions in aging populations.
Methods: Data were drawn from five cohort studies in the United States, England, Europe, China, and Mexico.
Environ Sci Technol
September 2025
School of the Environment, The University of Queensland, Brisbane, Queensland 4072, Australia.
As the global urban heat island (UHI) effect intensifies, understanding how UHI intensity responds to its influencing factors changes is critical for designing effective mitigation strategies. We focused on global megacities, shifted the UHI intensity assessment from physical indicators to human-related parameters, and then evaluated how human-centered UHI intensity responded to influencing factor change. We verified a significant discrepancy between traditional UHI intensity and human-centered UHI intensity worldwide, an average absolute difference of 1.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
The Steve Sanghi College of Engineering, Mechanical Engineering, Northern Arizona University, Flagstaff, Arizona 86011, United States.
This study investigates the HO and CO sorption behavior of two chemically distinct polystyrene-divinylbenzene-based ion exchange sorbents: a primary amine and a permanently charged strong base quaternary ammonium (QA) group with (bi)carbonate counter anions. We compare their distinct interactions with HO and CO through simultaneous thermal gravimetric, calorimetric, gas analysis, and molecular modeling approaches to evaluate their performance for dilute CO separations like direct air capture. Thermal and hybrid (heat + low-temperature hydration) desorption experiments demonstrate that the QA-based sorbent binds both water and CO more strongly than the amine counterparts but undergoes degradation at moderate temperatures, limiting its compatibility with thermal swing regeneration.
View Article and Find Full Text PDFAnal Chem
September 2025
Department of Chemistry, The University of Akron, Akron, Ohio 44325, United States.
Tires are complex polymeric materials composed of rubber elastomers (both natural and synthetic), fillers, steel wire, textiles, and a range of antioxidant and curing systems. These constituents are distributed differently among the various tire parts, which are classified based on their function and proximity to the rim. This study presents a rapid and sensitive approach for the characterization of tire components using mild thermal desorption/pyrolysis (TDPy) coupled to direct analysis in real-time mass spectrometry (DART-MS).
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