Association between long-term ambient air pollution exposure and the incidence of breast cancer: A meta-analysis based on updated evidence by Ruohan Wang, Peihan Wang, Yongkang Zhou, Yinan Wang, Chengdong Xu, Zhenbo Wang, Wei Wang

“…The pooled effect estimates for the associations of NO2, PM2.5, and PM10 with breast cancer incidence were calculated using a random-effects model. …”
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The Effects of COVID-19 Measures on Air Pollutant Concentrations at Urban and Traffic Sites in Istanbul by Ülkü Alver Şahin

“…The average concentrations of NO2, PM2.5, PM10 and CO during peak traffic hours were significantly (p < 0.01) decreased under COVID-19 measures. …”
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Infinitesimal optical singularity ruler for three-dimensional picometric metrology by Haixiang Ma, Yuquan Zhang, Jiakang Zhou, Fu Feng, Michael G. Somekh, Changjun Min, Xiaocong Yuan

“…Inspired by the well-known plumb-line technique used to locate the centroid, an analogous singularity line technique is proposed to locate the optical singularity with a precision of ~4.5 pm (~λ/140000) in the transverse direction and ~24.2 pm (~λ/26000) in the longitudinal direction. This precisely positioned singularity can serve as a ruler to detect displacement signals with an accuracy approaching ~60 pm.…”
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The Characteristics of Air Quality Changes in Hohhot City in China and their Relationship with Meteorological and Socio-economic Factors by Qingchun Guo, Zhenfang He, Zhaosheng Wang

“…The results imply that the annual average concentrations of five air pollutants (SO2, PM10, PM2.5, NO2, and CO) and AQI values declined year by year over 2014–2022. …”
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Examining the Impact of Nitrous Acid Chemistry on Ozone and PM over the Pearl River Delta Region by Rui Zhang, Golam Sarwar, Jimmy C. H. Fung, Alexis K. H. Lau, Yuanhang Zhang

“…Compared with available observed data, the model performance for NOx, SO2, PM10, and sulfate is reasonably good; however, predictions of HONO are an order of magnitude lower than observed data. …”
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Cardiovascular health in perspective: a comprehensive five-year geodatabase of hospitalizations and environmental factors in Mashhad, Iran by Shahab MohammadEbrahimi, Mohammad Dehghan, Behzad Kiani

“…In addition to the CVD hospitalization case file and its shape file created by joining with 1301 census tracts, this dataset includes environmental factors such as air quality indicators (SO2, PM2.5, CO, etc.). It also incorporates socio-economic variables (population density, illiteracy, and unemployment rates), public infrastructure, and built environment data, providing a comprehensive view of cardiovascular health in Mashhad.…”
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NNLO PDFs driven by top-quark data by S. Alekhin, M. V. Garzelli, S.-O. Moch, O. Zenaiev

“…At NNLO in QCD we obtain for the strong coupling the value $$\alpha _s^{(n_f=5)}(M_Z)= 0.1150 \pm 0.0009$$ α s ( n f = 5 ) ( M Z ) = 0.1150 ± 0.0009 and for the top-quark mass in the $${\overline{\text{ MS }}}$$ MS ¯ -scheme $$m_t(m_t) = 160.6 \pm 0.6$$ m t ( m t ) = 160.6 ± 0.6  GeV, corresponding to $$m_t^\textrm{pole} = 170.2 \pm 0.7$$ m t pole = 170.2 ± 0.7  GeV in the on-shell scheme. …”
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Spatiotemporal Variations and Contributing Factors of Air Pollutants in Almaty, Kazakhstan by Aiymgul Kerimray, Eldar Azbanbayev, Bulat Kenessov, Pavel Plotitsyn, Danara Alimbayeva, Ferhat Karaca

“…There was a negative correlation between elevation and levels of SO2, PM2.5, and PM10, while no correlation was observed for NO2 and CO, indicating that the former group could be mainly contributed by point sources located predominantly at lower elevations (e.g., power plants) and the latter group mainly originated from nonpoint sources distributed evenly across the city (e.g., transport). …”
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The role of PM2.5 exposure in lung cancer: mechanisms, genetic factors, and clinical implications by Chi-Yuan Chen, Kuo-Yen Huang, Chin-Chuan Chen, Ya-Hsuan Chang, Hsin-Jung Li, Tong-Hong Wang, Pan-Chyr Yang

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Prevalence, current status, and prevention of dental extractions in dogs: A retrospective study by K Han, Z Piao, C Park, MM Rahman, N Kim

“…In descending order, the most extracted teeth were PM2, PM3, PM4, and PM1. The age at the first dental check-up, the average interval between dental check-ups, and the average interval between the previous two dental check-ups in the extraction group were significantly greater than those in the non-extraction group. …”
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Multi-scenario modeling of regional dual-carbon target achievement and air quality improvement: A case study of Zhejiang province by Yuxin Yang

“…The results indicate that (1) the industrial, transport, and residential sectors contribute over 84.7% of energy consumption, CO2 emissions, and air pollutant emissions from 2020 to 2060, identifying them as key targets for mitigation strategies; (2) carbon peaking is not projected under the baseline scenario, but is expected by 2040 in the low-carbon scenario and 2029 in the deep low-carbon scenario, with a peak emission of 208.821 million tons, primarily driven by reductions in the industrial sector; (3) air pollutant emissions across scenarios rank as O3, NO2, PM10, PM2.5, and SO2, indicating the need for stronger O3 control; and (4) the proportion of days meeting national air quality standards remains unchanged, implying further action is necessary to improve air quality. …”
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From boundary data to bound states by Gregor Kälin, Rafael A. Porto

“…This limit is behind the map between the scattering angle for a test-particle and the two-body dynamics to 2PM. We show that it also captures a subset of higher order terms beyond the test-particle limit. …”
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Microsphere-Augmented PDMS integration in tapered FBG small-scale sensors for enhanced temperature sensitivity by Bryan Sanipatin, Luis A. Sánchez, Lucía Arques, Salvador Sales

“…Experimental results demonstrate a wavelength temperature sensitivity of 47.19 pm °C⁻1 for a 60 μm waist diameter and 221.2 pm °C⁻1 for a 20 μm waist diameter, achieving up to 22 times the sensitivity of a bare FBG. …”
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Diurnal changes of corneal epithelial and stromal thickness maps and visual quality in mild form of Fuchs’ endothelial corneal dystrophy by Iva Krolo, Aida Kasumović Bećirević, Ivana Radman, Armin Kasumović, Ines Matoc, Idoia Goñi Guarro, Ivan Sabol

“…Subjects underwent functional and structural testing at 8 AM, 2 PM, and 8 PM. Testing included measurement of uncorrected distance visual acuity (UDVA), best corrected twilight vision (TV), and contrast sensitivity function (CSF) testing (Vista Vision Far-Pola, DMD MedTech charts). …”
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Atmospheric Pollutants Assessment during the COVID-19 Lockdown Using Remote Sensing and Ground-based Measurements in Buenos Aires, Argentina by Natacha S. Represa, Lara S. Della Ceca, Gabriela Abril, María F. García Ferreyra, Carlos M. Scavuzzo

“…We examined the atmospheric emissions in Buenos Aires, Argentina, based on urban and industrial continuous monitoring of NO2, PM10 and PM2.5, and NO2 (TROPOMI/Sentinel-5p) and AOD (MAIAC/MODIS, Aqua) satellite products, in addition with meteorological data. …”
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The expression of powdery mildew resistance in spring bread wheat cultivars from the VIR collection of plant genetic resources by T. V. Lebedeva, E. V. Zuev, A. N. Brykova

“…The population of fungus was virulent to Pm1, Pm2, Pm3a-d, Pm4a-b, Pm5a, Pm6, Pm7, Pm8, Pm9, Pm16, Pm19 and avirulent to Pm12. …”
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Drug Concentrations in the Air and their Influencing Factors in a Pediatric Intensive Care Unit by Hui-Yun Tseng, Yi-Ting Tsai, Ying-Shiuan Su, Po-Pei Peng, Gwo-Hwa Wan

“…This study revealed that the average concentrations of CO2, PM10 (an aerodynamic diameter equal to or less than 10 µm), and PM2.5 (an aerodynamic diameter less than 2.5 µm) in the PICU met Taiwan’s Ministry of Environment (MOENV) indoor air quality standards. …”
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Machine Learning Algorithm for Estimating Surface PM2.5 in Thailand by Pawan Gupta, Shanshan Zhan, Vikalp Mishra, Aekkapol Aekakkararungroj, Amanda Markert, Sarawut Paibong, Farrukh Chishtie

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Prospects of employing modern European cultivars of spring bread wheat in the breeding for powdery mildew resistance in the Northwestern region of Russia by T. V. Lebedeva, E. V. Zuev, A. N. Brykova

“…The population of the fungus manifested virulence to Pm1, Pm2, Pm3a-d, Pm4a-b, Pm5a, Pm6, Pm7, Pm8, Pm9, Pm16 and Pm19, and avirulence to Pm12. …”
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Predictive modeling of air quality in the Tehran megacity via deep learning techniques by Abdullah Kaviani Rad, Mohammad Javad Nematollahi, Abbas Pak, Mohammadreza Mahmoudi

“…The present study aims to forecast the concentrations of various air pollutants, including CO, O3, NO2, SO2, PM10, and PM2.5, from 2013 to 2023 in the Tehran megacity, Iran, via deep learning (DL) models and evaluate their effectiveness over conventional machine learning (ML) methods. …”
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