Discern Depth Under Foul Weather: Estimate PM$_{2.5}$ for Depth Inference

2020 ◽  
Vol 16 (6) ◽  
pp. 3918-3927 ◽  
Author(s):  
Kun Li ◽  
Jian Ma ◽  
Han Li ◽  
Yahong Han ◽  
Xibin Yue ◽  
...  
Keyword(s):  
Pm 2.5 ◽  
2017 ◽  
Vol 39 (02) ◽  
pp. 133-140 ◽  
Author(s):  
Adriano Silva-Renno ◽  
Guilherme Baldivia ◽  
Manoel Oliveira-Junior ◽  
Maysa Brandao-Rangel ◽  
Elias El-Mafarjeh ◽  
...  

AbstractAir pollution is a growing problem worldwide, inducing and exacerbating several diseases. Among the several components of air pollutants, particulate matter (PM), especially thick (10–2.5 µm; PM 10) and thin (≤2.5 µm; PM 2.5), are breathable particles that easily can be deposited within the lungs, resulting in pulmonary and systemic inflammation. Although physical activity is strongly recommended, its effects when practiced in polluted environments are questionable. Therefore, the present study evaluated the pulmonary and systemic response of concomitant treadmill training with PM 2.5 and PM 10 exposure. Treadmill training inhibited PM 2.5- and PM 10-induced accumulation of total leukocytes (p<0.001), neutrophils (p<0.001), macrophages (p<0.001) and lymphocytes (p<0.001) in bronchoalveolar lavage (BAL), as well as the BAL levels of IL-1beta (p<0.001), CXCL1/KC (p<0.001) and TNF-alpha (p<0.001), whereas it increased IL-10 levels (p<0.05). Similar effects were observed on accumulation of polymorphonuclear (p<0.01) and mononuclear (p<0.01) cells in the lung parenchyma and in the peribronchial space. Treadmill training also inhibited PM 2.5- and PM 10-induced systemic inflammation, as observed in the number of total leukocytes (p<0.001) and in the plasma levels of IL-1beta (p<0.001), CXCL1/KC (p<0.001) and TNF-alpha (p<0.001), whereas it increased IL-10 levels (p<0.001). Treadmill training inhibits lung and systemic inflammation induced by particulate matter.


2021 ◽  
Author(s):  
Yuanyuan Wang ◽  
Xiao Wang ◽  
Lin Wei ◽  
Jinxia Su ◽  
Suling Zhu
Keyword(s):  

2021 ◽  
Vol 48 ◽  
pp. 102677
Author(s):  
Arianna Scartezzini ◽  
Fabio Tateo ◽  
Paola Perini ◽  
Luca Benacchio ◽  
Mario Ermani ◽  
...  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
L Moderato ◽  
D Lazzeroni ◽  
A Biagi ◽  
T Spezzano ◽  
B Matrone ◽  
...  

Abstract Introduction Out-of-hospital cardiac arrest (OHCA) is a leading cause of death worldwide; it accounts for up to 50% of all cardiovascular deaths.It is well established that ambient air pollution triggers fatal and non-fatal cardiovascular events. However, the impact of air pollution on OHCA is still controversial. The objective of this study was to investigate the impact of short-term exposure to outdoor air pollutants on the incidence of OHCA in the urban area of Piacenza, Italy, one of the most polluted area in Europe. Methods From 01/01/2010 to 31/12/2017 day-by-day PM10 and PM2.5 levels, as well as climatic data, were extracted from Environmental Protection Agency (ARPA) local monitoring stations. OHCA were extracted from the prospective registry of Community-based automated external defibrillator Cardiac arrest “Progetto Vita”. OHCA data were included: audio recordings, event information and ECG tracings. Logistic regression analysis was used to estimate the association between the risk of OHC, expressed as odds ratios (OR), associated with the PM10 and PM2.5 levels. Results Mean PM10 levels were 33±29 μg/m3 and the safety threshold (50 μg/m3) recommended by both WHO and Italian legislation has been exceeded for 535 days (17.5%). Mean PM 5 levels were 33±29 μg/m3. During the follow-up period, 880 OHCA were recorded on 750 days; the remaining 2174 days without OHCA were used as control days. Mean age of OHCA patients was 76±15 years; male gender was prevalent (55% male vs 45% female; &lt;0.001). Concentration of PM10 and PM 2.5 were significantly higher on days with the occurrence of OHCA (PM10 levels: 37.7±22 μg/m3 vs 32.7±19 μg/m3; p&lt;0.001; PM 2.5 levels: 26±16 vs 22±15 p&lt;0.001). Risk of OHCA was significantly increased with the progressive increase of PM10 (OR: 1.009, 95% CI 1.004–1.015; p&lt;0.001) and PM2.5 levels (OR 1.012, 95% CI 1.007–1.017; p&lt;0.001). Interestingly, the above mentioned results remain independent even when correct for external temperature or season (PM 2.5 levels: p=0.01 – PM 10 levels: p=0.002), Moreover, dividing PM10 values in quintiles, a 1.9 fold higher risk of cardiac arrest has been showed in the highest quintile (Highest quintile cut-off: &lt;48μg/m3) Conclusions In large cohort of patients from a high pollution area, both PM10 and PM2.5 levels are associated with the risk of Out-of-hospital cardiac arrest. PM10 and PM2.5 levels and risk of OHCA Funding Acknowledgement Type of funding source: None


2014 ◽  
Vol 5 (4) ◽  
pp. 759-768 ◽  
Author(s):  
Zhe Wei ◽  
Li–Tao Wang ◽  
Ming–Zhang Chen ◽  
Yan Zheng
Keyword(s):  

2008 ◽  
Author(s):  
I. Sano ◽  
M. Mukai ◽  
Y. Okada ◽  
S. Mukai ◽  
N. Sugimoto ◽  
...  
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document