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1

Sakamoto, Kazuhiko. "Fine Particulate Matter (PM2.5)." JAPAN TAPPI JOURNAL 67, no. 12 (2013): 1377–81. http://dx.doi.org/10.2524/jtappij.67.1377.

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Eftim, Sorina E., Jonathan M. Samet, Holly Janes, Aidan McDermott, and Francesca Dominici. "Fine Particulate Matter and Mortality." Epidemiology 19, no. 2 (March 2008): 209–16. http://dx.doi.org/10.1097/ede.0b013e3181632c09.

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3

Showstack, Randy. "Fine-tuning particulate matter research." Eos, Transactions American Geophysical Union 85, no. 16 (April 20, 2004): 158. http://dx.doi.org/10.1029/eo085i016p00158-05.

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4

Neas, Lucas M. "Fine particulate matter and cardiovascular disease." Fuel Processing Technology 65-66 (June 2000): 55–67. http://dx.doi.org/10.1016/s0378-3820(99)00076-4.

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5

Zhang, Renyi, Gehui Wang, Song Guo, Misti L. Zamora, Qi Ying, Yun Lin, Weigang Wang, Min Hu, and Yuan Wang. "Formation of Urban Fine Particulate Matter." Chemical Reviews 115, no. 10 (May 5, 2015): 3803–55. http://dx.doi.org/10.1021/acs.chemrev.5b00067.

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6

Pope, C. Arden, Aaron J. Cohen, and Richard T. Burnett. "Cardiovascular Disease and Fine Particulate Matter." Circulation Research 122, no. 12 (June 8, 2018): 1645–47. http://dx.doi.org/10.1161/circresaha.118.312956.

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7

Moolgavkar, Suresh H. "Fine Particulate Matter Pollution and Mortality." Risk Analysis 36, no. 9 (August 11, 2016): 1766–69. http://dx.doi.org/10.1111/risa.12675.

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8

Fang, Guor-Cheng, Yuh-Shen Wu, Wen-Jhy Lee, Te-Yen Chou, and I.-Chen Lin. "Seasonal variation in concentration and metallic constituents of atmospheric particulates near the western coast of central Taiwan." Toxicology and Industrial Health 22, no. 5 (June 2006): 193–201. http://dx.doi.org/10.1191/0748233706th262oa.

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In addition to determining the concentration and metallic constituents of particulate matter at Taichung Harbor in central Taiwan, this study attempts to characterize the mass, metallic elements, composition and concentrations of total suspended particulates (TSP), fine particles and coarse particles. Statistical approaches, such as the Spearman tests, were also adopted to determine the seasonal variations of concentrations of these pollutants. Experimental results indicate that the mean TSP, fine particulate and coarse particulate concentrations in spring and winter are higher than in summer and autumn on the western coast of central Taiwan. Spearman statistical analysis of metallic elements Mn and Pb showed high concentration coefficients for fine and coarse particulates on the western coast of central Taiwan. The order of mean metallic concentrations in TSP, coarse particulates and fine particles was Fe-Zn-Mg-Cu-Cr-Mn-Pb in TSP, Fe-Cu-Zn-Mg-Mn-Pb-Cr in coarse particulates and Fe-Cu-Mg-Pb-Zn-Mn-Cr in fine particulates.
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9

Kim, Eun-A. "Particulate Matter (Fine Particle) and Urologic Diseases." International Neurourology Journal 21, no. 3 (September 30, 2017): 155–62. http://dx.doi.org/10.5213/inj.1734954.477.

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10

Erickson, Britt E. "Technology Solutions: Characterizing fine, airborne particulate matter." Environmental Science & Technology 35, no. 5 (March 2001): 106A—107A. http://dx.doi.org/10.1021/es012301u.

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11

Chuang*, Hsiao-Chi, Kang-Yun Lee, Kai-Jen Chuang, Jun-Ji Cao, Linwei Tian, and Kin-Fai Ho. "Protein Oxidation by Fine Haze Particulate Matter." ISEE Conference Abstracts 2014, no. 1 (October 20, 2014): 1707. http://dx.doi.org/10.1289/isee.2014.p3-687.

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12

Sahu, Sujit K., Alan E. Gelfand, and David M. Holland. "Spatio-temporal modeling of fine particulate matter." Journal of Agricultural, Biological, and Environmental Statistics 11, no. 1 (March 2006): 61–86. http://dx.doi.org/10.1198/108571106x95746.

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13

Anthony, Kenneth R. N. "Coral suspension feeding on fine particulate matter." Journal of Experimental Marine Biology and Ecology 232, no. 1 (January 1999): 85–106. http://dx.doi.org/10.1016/s0022-0981(98)00099-9.

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14

Cox, Louis Anthony (Tony). "Hormesis for Fine Particulate Matter (PM 2.5)." Dose-Response 10, no. 2 (October 28, 2011): dose—response.1. http://dx.doi.org/10.2203/dose-response.11-040.cox.

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15

Zheng, Mei, Caiqing Yan, and Tong Zhu. "Understanding sources of fine particulate matter in China." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2183 (September 28, 2020): 20190325. http://dx.doi.org/10.1098/rsta.2019.0325.

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Fine particulate matter has been a major concern in China as it is closely linked to issues such as haze, health and climate impacts. Since China released its new national air quality standard for fine particulate matter (PM 2.5 ) in 2012, great efforts have been put into reducing its concentration and meeting the standard. Significant improvement has been seen in recent years, especially in Beijing, the capital city of China. This paper reviews how China understands its sources of fine particulate matter, the major contributor to haze, and the most recent findings by researchers. It covers the characteristics of PM 2.5 in China, the major methods to understand its sources such as emission inventory and measurement networks, the major research programmes in air quality research, and the major measures that lead to successful control of fine particulate matter pollution. A great example of linking scientific findings to policy is the control of coal combustion from the residential sector in northern China. This review not only provides an overview of the fine particulate matter pollution problem in China, but also its experience of air quality management, which may benefit other countries facing similar issues. This article is part of a discussion meeting issue ‘Air quality, past present and future’.
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16

Park, Hyungyu, Seonghyun Park, and Janghoo Seo. "Evaluation on Air Purifier’s Performance in Reducing the Concentration of Fine Particulate Matter for Occupants according to its Operation Methods." International Journal of Environmental Research and Public Health 17, no. 15 (August 1, 2020): 5561. http://dx.doi.org/10.3390/ijerph17155561.

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Fine particulate matter entering the body through breathing cause serious damage to humans. In South Korea, filter-type air purifiers are used to eliminate indoor fine particulate matter, and there has been a broad range of studies on the spread of fine particulate matter and air purifiers. However, earlier studies have not evaluated an operating method of air purifiers considering the inflow of fine particulate matter into the body or reduction performance of the concentration of fine particulate matter. There is a limit to controlling the concentration of fine particulate matter of the overall space where an air purifier is fixed in one spot as the source of indoor fine particulate matter is varied. Accordingly, this study analyzed changes in the concentration of indoor fine particulate matter through an experiment according to the discharging method and location of a fixed air purifier considering the inflow route of fine particulate matter into the body and their harmfulness. The study evaluated the purifiers’ performance in reducing the concentration of fine particulate matter in the occupants’ breathing zone according to the operation method in which a movable air purifier responds to the movement of occupants. The results showed the concentration of fine particulate matter around the breathing zone of the occupants had decreased by about 51 μg/m3 compared to the surrounding concentration in terms of the operating method in which an air purifier tracks occupants in real-time, and a decrease of about 68 μg/m3 in terms of the operating method in which an air purifier controls the zone. On the other hand, a real-time occupant tracking method may face a threshold due to the moving path of an air purifier and changes in the number of occupants. A zone controlling method is deemed suitable as an operating method of a movable air purifier to reduce the concentration of fine particulate matter in the breathing zone of occupants.
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17

Prasannavenkatesh, Ramachandran, Ramachandran Andimuthu, Palanivelu Kandasamy, Geetha Rajadurai, Divya Subash Kumar, Parthasarathy Radhapriya, and Malini Ponnusamy. "Assessment of Population Exposure to Coarse and Fine Particulate Matter in the Urban Areas of Chennai, India." Scientific World Journal 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/643714.

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Research outcomes from the epidemiological studies have found that the course (PM10) and the fine particulate matter (PM2.5) are mainly responsible for various respiratory health effects for humans. The population-weighted exposure assessment is used as a vital decision-making tool to analyze the vulnerable areas where the population is exposed to critical concentrations of pollutants. Systemic sampling was carried out at strategic locations of Chennai to estimate the various concentration levels of particulate pollution during November 2013–January 2014. The concentration of the pollutants was classified based on the World Health Organization interim target (IT) guidelines. Using geospatial information systems the pollution and the high-resolution population data were interpolated to study the extent of the pollutants at the urban scale. The results show that approximately 28% of the population resides in vulnerable locations where the coarse particulate matter exceeds the prescribed standards. Alarmingly, the results of the analysis of fine particulates show that about 94% of the inhabitants live in critical areas where the concentration of the fine particulates exceeds the IT guidelines. Results based on human exposure analysis show the vulnerability is more towards the zones which are surrounded by prominent sources of pollution.
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18

Jung, Hojin. "The Impact of Ambient Fine Particulate Matter on Consumer Expenditures." Sustainability 12, no. 5 (March 1, 2020): 1855. http://dx.doi.org/10.3390/su12051855.

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Airborne particulate matter suspended from industrial facilities, power plants, and automobiles is detrimental to health. Growing concerns about the increasing level of airborne particulate matter have led many industrialized nations to advocate for the transformation of the energy market and investment in sustainable energy products. At the other end, consumers have made individual adjustments and attempted to reduce the exposure to the particulate matter. In this paper, we focus on the effect of ambient air pollution on consumer expenditures based on scanner panel data on consumers’ debit and credit card transactions. A series of empirical analyses found robust evidence that the increased level of particulate matter led to considerable disruption in total consumer expenditures with significant heterogeneity across categories. Our findings suggest that consumers alter their spending behaviors in an attempt to reduce the risk of exposures to particulate matter. Such an estimated effect of air pollution is qualitatively different from those of other macroeconomic factors and provides important guidance for policy interventions and practical decisions aimed at sustaining economic growth.
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19

Wu, Yuh-Shen, Guor-Cheng Fang, Jum-Bo Lin, Jhih-Guang Lin, Shih-Han Huang, and Jui-Yeh Rau. "Atmospheric pollutants study of particles and metallic elements during high wind speed (wind speed >6 m/s) near Taiwan Strait around central Taiwan." Toxicology and Industrial Health 22, no. 1 (February 2006): 1–13. http://dx.doi.org/10.1191/0748233706th239oa.

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The purpose of this study was to characterize metallic elements associated with atmospheric particulate matter in total suspended particulate (TSP), fine particles (particle matter with an aerodynamic diameter of B / 2.5 mm, PM2.5) and coarse particles (particle matter with an aerodynamic diameter of 2.5-10 mm, PM2.5- 10), at high wind speed (wind speed-6 m/s) at Taichung Harbor (TH) and Wuci traffic (WT) in central Taiwan from March to December 2004. The correlation coefficient (R2) between TSP, coarse, fine particulate concentrations versus wind speed at the TH and WT sampling site during high wind speed (-6 m/s) are shown in this study. In addition, the correlation coefficients between TSP, coarse and fine particles of metallic species versus high wind speed were also observed. The results indicated that the correlation coefficient order was TSP-coarse-fine for particles at both sampling sites during high wind speed (-6 m/s) near central Taiwan. In addition, the concentrations of Fe, Zn, Mn, Cu, Pb, Cr, Mg for TSP, coarse and fine particulates were also analysed in this study.
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20

Begum, Bilkis A., Philip K. Hopke, and Andreas Markwitz. "Air pollution by fine particulate matter in Bangladesh." Atmospheric Pollution Research 4, no. 1 (January 2013): 75–86. http://dx.doi.org/10.5094/apr.2013.008.

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21

Manning, Max I., Randall V. Martin, Christa Hasenkopf, Joe Flasher, and Chi Li. "Diurnal Patterns in Global Fine Particulate Matter Concentration." Environmental Science & Technology Letters 5, no. 11 (November 2, 2018): 687–91. http://dx.doi.org/10.1021/acs.estlett.8b00573.

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22

Simpson, Christopher D., Russell L. Dills, Bethany S. Katz, and David A. Kalman. "Determination of Levoglucosan in Atmospheric Fine Particulate Matter." Journal of the Air & Waste Management Association 54, no. 6 (June 2004): 689–94. http://dx.doi.org/10.1080/10473289.2004.10470945.

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23

Cooper, Nathan, Donna Green, Yuming Guo, and Sotiris Vardoulakis. "School children’s exposure to indoor fine particulate matter." Environmental Research Letters 15, no. 11 (October 21, 2020): 115003. http://dx.doi.org/10.1088/1748-9326/abbafe.

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24

Pang, W., G. Christakos, and J.-F. Wang. "Comparative spatiotemporal analysis of fine particulate matter pollution." Environmetrics 21, no. 3-4 (August 2, 2009): 305–17. http://dx.doi.org/10.1002/env.1007.

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25

Qiu, Hong, Shengzhi Sun, Hilda Tsang, Chit-Ming Wong, Ruby Siu-yin Lee, C. Mary Schooling, and Linwei Tian. "Fine particulate matter exposure and incidence of stroke." Neurology 88, no. 18 (March 31, 2017): 1709–17. http://dx.doi.org/10.1212/wnl.0000000000003903.

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Objective:We aimed to assess the association of long-term residential exposure to fine particulate matter (PM) with aerodynamic diameter less than 2.5 μm (PM2.5) with the incidence of stroke and its major subtypes.Methods:We ascertained the first occurrence of emergency hospital admission for stroke in a Hong Kong Chinese cohort of 66,820 older people (65+ years) who enrolled during 1998–2001 (baseline) and were followed up to December 31, 2010. High-resolution (1 × 1 km) yearly mean concentrations of PM2.5 were predicted from local monitoring data and US National Aeronautics and Space Administration satellite data using linear regression. Baseline residential PM2.5 exposure was used as a proxy for long-term exposure. We used Cox proportional hazards to evaluate the risk of incident stroke associated with PM2.5 exposure adjusted for potential confounders, including individual and neighborhood factors.Results:Over a mean follow-up of 9.4 years, we ascertained 6,733 cases of incident stroke, of which 3,526 (52.4%) were ischemic and 1,175 (17.5%) were hemorrhagic. The hazard ratio for every 10 μg/m3 higher PM2.5 concentration was statistically significant at 1.21 (95% confidence interval [CI] 1.04–1.41) for ischemic and non-statistically significant at 0.90 (95% CI 0.70–1.17) for hemorrhagic stroke in fully adjusted model 3. The estimates for ischemic stroke were higher in older participants (>70 years), less educated participants, and in men for current smokers.Conclusion:Long-term PM2.5 exposure was associated with higher risk of incident ischemic stroke, but the association with incident hemorrhagic stroke was less clear.
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26

Levy, Jonathan I. "Fine Particulate Matter, Risk Assessment, and Risk Management." Risk Analysis 36, no. 9 (July 18, 2016): 1745–47. http://dx.doi.org/10.1111/risa.12673.

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27

YANG, Xin, and YuanLong HUANG. "Influence of fine particulate matter on atmospheric visibility." Chinese Science Bulletin 58, no. 13 (May 1, 2013): 1165–70. http://dx.doi.org/10.1360/972013-200.

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28

Tavera Busso, Iván, Ana Carolina Mateos, Alicia González Peroni, Natalia Soledad Graziani, and Hebe Alejandra Carreras. "Hepatic alterations associated with fine particulate matter exposure." Toxicological Research 36, no. 2 (November 21, 2019): 139–48. http://dx.doi.org/10.1007/s43188-019-00014-4.

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29

Guan, Tianjia, Maosheng Yao, Junxia Wang, Yanhua Fang, Songhe Hu, Yan Wang, Anindita Dutta, et al. "Airborne endotoxin in fine particulate matter in Beijing." Atmospheric Environment 97 (November 2014): 35–42. http://dx.doi.org/10.1016/j.atmosenv.2014.08.005.

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30

Baitimirova, Margarita, Agnese Osite, Juris Katkevich, and Arturs Viksna. "Electrochemical Characteristics of Particulate Matter." Scientific Journal of Riga Technical University. Environmental and Climate Technologies 7, no. -1 (January 1, 2011): 19–26. http://dx.doi.org/10.2478/v10145-011-0023-1.

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Electrochemical Characteristics of Particulate Matter The current work is dedicated to electrochemical impedance spectra analysis of the fine and coarse airborne particulate matter sampled on the glass fibre filters in Riga city air. The cyclic voltammograms, impedance spectra and double layer capacitance spectra of particulate matter were obtained after the pre-treatment of samples. The equivalent circuit method and the statistical method were used for impedance spectra analysis. Analyzing the impedance spectra, it was concluded that the impedance of both - fine and coarse particles heated in N2 flow does not change by aerosol mass concentration variations. On the other hand, the impedance of particulate matter heated in O2 flow increases, by increasing PM10 mass concentration. Describing the spectra of double layer capacitance, it was observed that the double layer capacitance of aerosols heated in N2 flow did not change, by mass concentration and size variations. However, by increasing mass concentration of coarse aerosols heated in O2 flow, the double layer capacitance reduced.
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31

Sombo, T., A. A. Agbendeh, and J. O. Tsor. "Fine Particulate Matter Distribution in Makurdi and Otukpo Metropolis, Benue State - Nigeria." NIGERIAN ANNALS OF PURE AND APPLIED SCIENCES 6 (December 28, 2015): 139–44. http://dx.doi.org/10.46912/napas.19.

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The suspended fine particulate matter concentrations in Makurdi and Otukpo Metropolis were measured using Haz-Dust Sampler (AMS 95015). The measurements were carried out at major observed emission sources such as residential and traffic related sources. On the average, traffic- related sources recorded the highest concentration of suspended fine particulate matter in both metropolis with the highest concentration in Otukpo metropolis (594 : g/m ). Generally the measured values from all the sources are above World Health Organization (WHO) standards and National Air Quality Standard (150-230 : g/m 3 for 24 hrs). Results show that Otukpo metropolis has the highest fine particulate concentrations from residential and traffic related sources. In order to keep the suspended fine particulate concentrations from rising above prescribed standards, appropriate control measures are recommended.
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32

Turner, Jay R., and David T. Allen. "Transport of Atmospheric Fine Particulate Matter: Part 2—Findings from Recent Field Programs on the Intraurban Variability in Fine Particulate Matter." Journal of the Air & Waste Management Association 58, no. 2 (February 2008): 196–215. http://dx.doi.org/10.3155/1047-3289.58.2.196.

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33

Toro Araya, Richard, Robert Flocchini, Rául G. E. Morales Segura, and Manuel A. Leiva Guzmán. "Carbonaceous Aerosols in Fine Particulate Matter of Santiago Metropolitan Area, Chile." Scientific World Journal 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/794590.

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Measurements of carbonaceous aerosols in South American cities are limited, and most existing data are of short term and limited to only a few locations. For 6 years (2002–2007), concentrations of fine particulate matter and organic and elemental carbon were measured continuously in the capital of Chile. The contribution of carbonaceous aerosols to the primary and secondary fractions was estimated at three different sampling sites and in the warm and cool seasons. The results demonstrate that there are significant differences in the levels in both the cold (March to August) and warm (September to February) seasons at all sites studied. The percent contribution of total carbonaceous aerosol fine particulate matter was greater in the cool season (53 ± 41%) than in the warm season (44 ± 18%). On average, the secondary organic carbon in the city corresponded to 29% of the total organic carbon. In cold periods, this proportion may reach an average of 38%. A comparison of the results with the air quality standards for fine particulate matter indicates that the total carbonaceous fraction alone exceeds the World Health Organization standard (10 µg/m3) and the United States Environmental Protection Agency standard (15 µg/m3) for fine particulate matter.
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34

Lei, Xiaoning, Renjie Chen, Weihua Li, Zhen Cheng, Hongli Wang, Steven Chillrud, Beizhan Yan, Zhekang Ying, Jing Cai, and Haidong Kan. "Personal exposure to fine particulate matter and blood pressure: Variations by particulate sources." Chemosphere 280 (October 2021): 130602. http://dx.doi.org/10.1016/j.chemosphere.2021.130602.

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35

Zhen, Ao Xuan, Mei Jing Piao, Yu Jae Hyun, Kyoung Ah Kang, Pincha Devage Sameera Madushan Fernando, Suk Ju Cho, Mee Jung Ahn, and Jin Won Hyun. "Diphlorethohydroxycarmalol Attenuates Fine Particulate Matter-Induced Subcellular Skin Dysfunction." Marine Drugs 17, no. 2 (February 1, 2019): 95. http://dx.doi.org/10.3390/md17020095.

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The skin, the largest organ in humans, is exposed to major sources of outdoor air pollution, such as fine particulate matter with a diameter ≤ 2.5 µm (PM2.5). Diphlorethohydroxycarmalol (DPHC), a marine-based compound, possesses multiple activities including antioxidant effects. In the present study, we evaluated the protective effect of DPHC on PM2.5-induced skin cell damage and elucidated the underlying mechanisms in vitro and in vivo. The results showed that DPHC blocked PM2.5-induced reactive oxygen species generation in human keratinocytes. In addition, DPHC protected cells against PM2.5-induced DNA damage, endoplasmic reticulum stress, and autophagy. HR-1 hairless mice exposed to PM2.5 showed lipid peroxidation, protein carbonylation, and increased epidermal height, which were inhibited by DPHC. Moreover, PM2.5 induced apoptosis and mitogen-activated protein kinase (MAPK) protein expression; however, these changes were attenuated by DPHC 5. MAPK inhibitors were used to elucidate the molecular mechanisms underlying these actions, and the results demonstrated that MAPK signaling pathway may play a key role in PM2.5-induced skin damage.
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36

Song, Xin-Yi, Qing-Chang Lu, and Zhong-Ren Peng. "Spatial Distribution of Fine Particulate Matter in Underground Passageways." International Journal of Environmental Research and Public Health 15, no. 8 (July 25, 2018): 1574. http://dx.doi.org/10.3390/ijerph15081574.

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The unfavorable locations of underground infrastructures and poor ventilation facilities can result in the deterioration of enclosed air quality. Some researchers have studied air quality and ventilation measures in different types of underground buildings. However, few studies have investigated the pollution in pedestrian passageways connecting underground structures. Hence, in this paper, we attempted to investigate the spatial distribution of fine particulate matter (PM2.5) in underground passageways. First, measurements were designed and conducted in a pedestrian passageway beneath the Shanghai South Railway Station, Shanghai, China. Second, numerical simulations were performed based on computational fluid dynamic (CFD) technology. Finally, the numerical simulations were extended to examine impacts of the ventilation measures on PM2.5 concentration with different inlet positions and air velocity in underground passageways. The simulation results showed good agreement with the experimental data, and the numerical model was validated to be an effective method to investigate the spatial distribution of PM2.5 in underground passageways. Results suggest that building additional entrances is an advisable method for improving air quality in the underground passageways of the Shanghai South Railway Station, while jet fans are not recommended. Findings of this study offer suggestions for mitigating PM2.5 pollution in underground passageways.
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37

Casuccio, Gary S., Steven F. Schlaegle, Traci L. Lersch, Gerald P. Huffman, Yuanzhi Chen, and Naresh Shah. "Measurement of fine particulate matter using electron microscopy techniques." Fuel Processing Technology 85, no. 6-7 (June 2004): 763–79. http://dx.doi.org/10.1016/j.fuproc.2003.11.026.

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38

Fantke, Peter, Thomas E. McKone, Marko Tainio, Olivier Jolliet, Joshua S. Apte, Katerina S. Stylianou, Nicole Illner, Julian D. Marshall, Ernani F. Choma, and John S. Evans. "Global Effect Factors for Exposure to Fine Particulate Matter." Environmental Science & Technology 53, no. 12 (May 27, 2019): 6855–68. http://dx.doi.org/10.1021/acs.est.9b01800.

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39

Meng, Jun, Randall V. Martin, Chi Li, Aaron van Donkelaar, Zitely A. Tzompa-Sosa, Xu Yue, Jun-Wei Xu, Crystal L. Weagle, and Richard T. Burnett. "Source Contributions to Ambient Fine Particulate Matter for Canada." Environmental Science & Technology 53, no. 17 (August 6, 2019): 10269–78. http://dx.doi.org/10.1021/acs.est.9b02461.

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40

Bell, Michelle L., Kathleen Belanger, Keita Ebisu, Janneane F. Gent, Hyung Joo Lee, Petros Koutrakis, and Brian P. Leaderer. "Prenatal Exposure to Fine Particulate Matter and Birth Weight." Epidemiology 21, no. 6 (November 2010): 884–91. http://dx.doi.org/10.1097/ede.0b013e3181f2f405.

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41

Carty, Cara L., Ulrike Gehring, Josef Cyrys, Wolfgang Bischof, and Joachim Heinrich. "Seasonal variability of endotoxin in ambient fine particulate matter." Journal of Environmental Monitoring 5, no. 6 (2003): 953. http://dx.doi.org/10.1039/b308488d.

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42

Hystad, Perry U., Eleanor M. Setton, Ryan W. Allen, Peter C. Keller, and Michael Brauer. "Modeling residential fine particulate matter infiltration for exposure assessment." Journal of Exposure Science & Environmental Epidemiology 19, no. 6 (August 20, 2008): 570–79. http://dx.doi.org/10.1038/jes.2008.45.

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43

Madaniyazi, Lina, Tatsuya Nagashima, Yuming Guo, Weiwei Yu, and Shilu Tong. "Projecting Fine Particulate Matter-Related Mortality in East China." Environmental Science & Technology 49, no. 18 (August 31, 2015): 11141–50. http://dx.doi.org/10.1021/acs.est.5b01478.

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44

Lee, Pius, Jeffery McQueen, Ivanka Stajner, Jianping Huang, Li Pan, Daniel Tong, Hyuncheol Kim, et al. "NAQFC Developmental Forecast Guidance for Fine Particulate Matter (PM2.5)." Weather and Forecasting 32, no. 1 (February 1, 2017): 343–60. http://dx.doi.org/10.1175/waf-d-15-0163.1.

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Abstract The National Air Quality Forecasting Capability (NAQFC) upgraded its modeling system that provides developmental numerical predictions of particulate matter smaller than 2.5 μm in diameter (PM2.5) in January 2015. The issuance of PM2.5 forecast guidance has become more punctual and reliable because developmental PM2.5 predictions are provided from the same system that produces operational ozone predictions on the National Centers for Environmental Prediction (NCEP) supercomputers. There were three major upgrades in January 2015: 1) incorporation of real-time intermittent sources for particles emitted from wildfires and windblown dust originating within the NAQFC domain, 2) suppression of fugitive dust emissions from snow- and/or ice-covered terrain, and 3) a shorter life cycle for organic nitrate in the gaseous-phase chemical mechanism. In May 2015 a further upgrade for emission sources was included using the U.S. Environmental Protection Agency’s (EPA) 2011 National Emission Inventory (NEI). Emissions for ocean-going ships and on-road mobile sources will continue to rely on NEI 2005. Incremental tests and evaluations of these upgrades were performed over multiple seasons. They were verified against the EPA’s AIRNow surface monitoring network for air pollutants. Impacts of the three upgrades on the prediction of surface PM2.5 concentrations show large regional variability: the inclusion of windblown dust emissions in May 2014 improved PM2.5 predictions over the western states and the suppression of fugitive dust in January 2015 reduced PM2.5 bias by 52%, from 6.5 to 3.1 μg m−3 against a monthly average of 9.4 μg m−3 for the north-central United States.
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45

Dominici, Francesca, Yun Wang, Andrew W. Correia, Majid Ezzati, C. Arden Pope, and Douglas W. Dockery. "Chemical Composition of Fine Particulate Matter and Life Expectancy." Epidemiology 26, no. 4 (July 2015): 556–64. http://dx.doi.org/10.1097/ede.0000000000000297.

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46

Kilinç, Evren, Holger Schulz, Gerhardus JAJM Kuiper, Henri MH Spronk, Hugo ten Cate, Swapna Upadhyay, Koustav Ganguly, et al. "The procoagulant effects of fine particulate matter in vivo." Particle and Fibre Toxicology 8, no. 1 (2011): 12. http://dx.doi.org/10.1186/1743-8977-8-12.

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47

Smolík, Jiří, Ludmila Mašková, Naděžda Zíková, Lucie Ondráčková, and Jakub Ondráček. "Deposition of suspended fine particulate matter in a library." Heritage Science 1, no. 1 (2013): 7. http://dx.doi.org/10.1186/2050-7445-1-7.

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48

Donaldson, K. "The biological effects of coarse and fine particulate matter." Occupational and Environmental Medicine 60, no. 5 (May 1, 2003): 313–14. http://dx.doi.org/10.1136/oem.60.5.313.

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49

Joseph, Peter M. "Can fine particulate matter explain the paradoxical ozone associations?" Environment International 34, no. 8 (November 2008): 1185–91. http://dx.doi.org/10.1016/j.envint.2008.03.002.

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50

Gildemeister, Amy E., Philip K. Hopke, and Eugene Kim. "Sources of fine urban particulate matter in Detroit, MI." Chemosphere 69, no. 7 (October 2007): 1064–74. http://dx.doi.org/10.1016/j.chemosphere.2007.04.027.

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