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Background
Ultrafine particles (≤100 nm diameter) may have a higher toxicity than larger particles but are still not regulated nor part of routine air pollution monitoring. So far, health effects of long-term exposure to ambient ultrafine particles are not well understood, owing to a lack of exposure data and epidemiological studies.
Methods
We conducted a systematic review and meta-analysis on the health effects of long-term exposure to ultrafine particles, including studies published until December 2024. A meta-analysis was conducted for outcomes with at least four available effect estimates. Confidence in the body of evidence was evaluated using the Office of Health Assessment and Translation method.
Results
We identified 85 studies investigating various mortality, morbidity and subclinical outcomes. In meta-analyses of single-pollutant models, we found positive associations with natural mortality (hazard ratio 1.06, 95% CI 1.04–1.08) and C-reactive protein (10.14% increase (95% CI −0.51–21.99%) per 10 000 pt·cm−3 increase in long-term exposure to ultrafine particles, with low and inadequate levels of evidence, respectively. The remaining studies revealed overall limited evidence for adverse effects on a wide range of outcomes. Less than half of the studies adjusted for co-pollutants.
Conclusion
The evidence base on long-term health effects of ultrafine particles has increased substantially in the past decade, while the overall evidence for independent effects of long-term ultrafine particle exposure remains inadequate to low. More studies are needed to draw firm conclusions about the independent adverse effects of long-term ultrafine particles on various health end-points, with a special focus on the influence of co-pollutant adjustment.
Inklusive Berufsausbildung im Verständnis der UN-Behindertenrechtskonvention: Ein Diskussionsbeitrag
(2025)
Seitdem Deutschland 2009 die Behindertenrechtskonvention der Vereinten Nationen (UNBRK) ratifiziert hat, gibt es auch in der Berufsausbildung Debatten zu Inklusion. Die hier zur Diskussion gestellten Reformvorschläge zur Gestaltung inklusiver Berufsausbildung stützen sich auf die UN-BRK und ihr grundlegendes Verständnis von „Diskriminierung“ (Art. 2 UN-BRK), Inklusion (Art. 24 UN-BRK) und den von den Staaten dazu zu treffenden „angemessenen Vorkehrungen“ (Art. 2 UN-BRK).
During the coronavirus pandemic, scientists who worked to overcome the outbreak received recognition, but also opposition and even hostility. This article examines how the experience of the pandemic has affected the willingness of scientists to engage with the public. Derived from a comprehensive survey of 4207 scientists at German universities and research institutions, animosity towards scientists during the pandemic has created a sense of insecurity that may cause them to withdraw from the public eye. Depending on the relative strength of two cognitive appraisals, the severity of the threat and the appropriateness of the retreat option, the likelihood of respondents engaging with the public varies significantly.
Rethinking Rationality: Scientists’ Perspectives on Health Communication After the COVID-19 Pandemic
(2026)
This study investigates heat transfer enhancement in magneto-nanofluidic systems through the strategic placement of adiabatic blocks in grooved channels. Using CuO–H2O nanofluid in a bottom-heated channel with circular expansion, we examine the complex interactions between forced convection, magnetic fields, and uoyancy effects. Through systematic numerical analysis, we explore the combined influences of Rayleigh, Reynolds, and Hartmann numbers on thermal performance. Our findings reveal significant heat transfer enhancement (up to 137 %) under optimal conditions, particularly with vertical magnetic field orientation at Re = 100 and Ha = 30. The results demonstrate how adiabatic blocks modify flow structures, with larger blocks diminishing vortex intensity while elevated Ra generates secondary vortices that interact with primary circulations. Magnetic field effects show notable dependence on orientation, with vertical fields generally promoting better heat transfer than horizontal configurations. To complement the numerical analysis, we develop a predictive model using Artificial Neural Network (ANN) for Nusselt numbers across various operating conditions, achieving over 99 % accuracy. The integrated computational-ANN approach offers significant advancements in optimizing thermal systems in various areas, ranging from electronics cooling to microfluidic devices.
Evaluating the Effectiveness of Virtual Listening Tests for Balanced Armature Headphone Drivers
(2025)