学会抄録

<p><b>Observation of pulmonary artery sections</b> (200X, HE) The pulmonary artery wall thickness of disease (D) is noticeably increased. In the D sample, 1) the tunica adventicia was more compact and exhibited increased connective tissue; 2) the smooth muscle fiber was thicker; 3) there was excessive fiber production; and 4) the intima was more compact. The arrows indicate the pathological changes.</p

Spatial distribution of average AOD*annual from 2004–2012.

<p>The blue line along the Qin Mountains and Huai River is the traditional dividing line between north and south China. AOD^*_annual varied greatly across the study domain and north China has higher aerosol loading relative to south China generally.</p

Global daily PM2.5 related to 2023 wildfires

Global daily PM2.5 related to 2023 wildfires</p

Average AOD^* in different spatio-temporal groups.

<p>The black line shows the AOD^*_annual over the entire study region as a reference. The average AOD^* during the heating season in the heating area was consistently higher than other spatio-temporal groups.</p

Summary statistics of meteorological and social-economic parameters.

<p>Summary statistics of meteorological and social-economic parameters.</p

Estimates of parameters in the linear regression models.

<p>^ap-value< 0.01</p><p>Estimates of parameters in the linear regression models.</p

Safety and Feasibility Study of a Novel Stent-Graft for Thoracic Endovascular Aortic Repair: a Canine Model Experiment

<div><p>Abstract Objective: To evaluate the safety and feasibility of a novel stent-graft for thoracic endovascular aortic repair (TEVAR) in a canine model, 9 adult hybrid dogs were used for the experiment. Methods: All animals were implanted with a novel thoracic aortic stent-graft via femoral artery. Blood sample was collected at pre-operation and 1, 2, 4, 8 and 12 weeks after implantation for hematological examination. Moreover, tissues from randomly selected 4 dogs were subjected to histopathological analysis with the optical microscope after stent-grafts were implanted for 3, 6, 9, and 12 months respectively. The experimental period lasted for more than 2 years. Results: A total of 9 stent-grafts were successfully implanted in the canine thoracic aortas and no migration or deformation occurred. Related indicators of blood routine, inflammatory factors, and immunology changes were not significantly (P>0.05), except the white blood cell (WBC) counts in the first week. Moreover, abnormal morphology was not found in all thoracic aortas via histopathological examination. Additionally, all stent-grafts were patent and did not migrate, and there was no thrombus in the lumens of stent-grafts. Conclusion: The novel thoracic aortic stent-graft made in China was safe and feasible for thoracic endovascular aortic repair in a canine model.</p></div

Additional file 1: of Pediatric emergency department visits and ambient Air pollution in the U.S. State of Georgia: a case-crossover study

Joint effects for interquartile range increases in 3-day moving average of multiple ambient air pollutant concentrations from multipollutant models without and with first order interactions. (PDF 215 kb

Global Land Use Regression Model for Nitrogen Dioxide Air Pollution

Nitrogen dioxide is a common air pollutant with growing evidence of health impacts independent of other common pollutants such as ozone and particulate matter. However, the worldwide distribution of NO₂ exposure and associated impacts on health is still largely uncertain. To advance global exposure estimates we created a global nitrogen dioxide (NO₂) land use regression model for 2011 using annual measurements from 5,220 air monitors in 58 countries. The model captured 54% of global NO₂ variation, with a mean absolute error of 3.7 ppb. Regional performance varied from <i>R</i>² = 0.42 (Africa) to 0.67 (South America). Repeated 10% cross-validation using bootstrap sampling (<i>n</i> = 10,000) demonstrated a robust performance with respect to air monitor sampling in North America, Europe, and Asia (adjusted <i>R</i>² within 2%) but not for Africa and Oceania (adjusted <i>R</i>² within 11%) where NO₂ monitoring data are sparse. The final model included 10 variables that captured both between and within-city spatial gradients in NO₂ concentrations. Variable contributions differed between continental regions, but major roads within 100 m and satellite-derived NO₂ were consistently the strongest predictors. The resulting model can be used for global risk assessments and health studies, particularly in countries without existing NO₂ monitoring data or models

Global Land Use Regression Model for Nitrogen Dioxide Air Pollution

Nitrogen dioxide is a common air pollutant with growing evidence of health impacts independent of other common pollutants such as ozone and particulate matter. However, the worldwide distribution of NO₂ exposure and associated impacts on health is still largely uncertain. To advance global exposure estimates we created a global nitrogen dioxide (NO₂) land use regression model for 2011 using annual measurements from 5,220 air monitors in 58 countries. The model captured 54% of global NO₂ variation, with a mean absolute error of 3.7 ppb. Regional performance varied from <i>R</i>² = 0.42 (Africa) to 0.67 (South America). Repeated 10% cross-validation using bootstrap sampling (<i>n</i> = 10,000) demonstrated a robust performance with respect to air monitor sampling in North America, Europe, and Asia (adjusted <i>R</i>² within 2%) but not for Africa and Oceania (adjusted <i>R</i>² within 11%) where NO₂ monitoring data are sparse. The final model included 10 variables that captured both between and within-city spatial gradients in NO₂ concentrations. Variable contributions differed between continental regions, but major roads within 100 m and satellite-derived NO₂ were consistently the strongest predictors. The resulting model can be used for global risk assessments and health studies, particularly in countries without existing NO₂ monitoring data or models