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Experimental aerosol generation methods aim to represent natural processes; however, the complexity is not always captured and unforeseen variability may be introduced into the data. The current practices for natural and experimental aerosol generation techniques are reviewed here. Recommendations for best practice are presented, and include characterization of starting material and spray fluid, r
Particulate air pollution is one of the major causes of premature death in the world, and combustion-derived soot emissions contribute strongly to the particulate pollution to which humans are exposed. Black carbon (BC) is one such emission and denotes soot with strong light absorption in the ultraviolet to infrared spectrum. Combustion can also generate brown carbon (BrC) particles, with absorpti
Looking at globular proteins with the eyes of a colloid scientist has a long tradition, in fact a significant part of the early colloid literature was focused on protein solutions. However, it has also been recognized that proteins are much more complex than the typical hard sphere-like synthetic model colloids. Proteins are not perfect spheres, their interaction potentials are in general not isot
Simple models based on isotropic interparticle attractions often fail to capture experimentally observed structures of colloidal gels formed through spinodal decomposition and subsequent arrest: the resulting gels are typically denser and less branched than their experimental counterparts. Here, we simulate gels formed from soft particles with directional attractions ("patchy particles"), designed
A simple Pickering emulsion route has been developed for the assembly of temperature-responsive poly(N-isopropylacrylamide) (PNIPAM) microgel particles into colloidal molecules comprising a small number of discrete microgel interaction sites on a central oil emulsion droplet. Here, the surface activity of the microgels serves to drive their assembly through adsorption to growing polydimethylsiloxa
Introduction Given that in developed countries we spend about 65% of our time in private homes (Brasche et al. 2005), understanding the exposures in homes is of outmost importance. Airborne particle concentrations indoors can be affected by particles of indoor and outdoor origins, as well as physico-chemical processes indoors, outdoor infiltration affected by tightness of the building envelope and
Stimuli-responsive microgels have attracted much interest for their use as vehicles for drug delivery or as the building blocks of adaptive materials. Ionic microgel particles, including popular poly(NIPAM-co-acrylic acid), show strong mechanical responsiveness to many external stimuli, including changes in ionic strength or acidity. In this work, we demonstrate that combining multiple ionic stimu
Concentrations of aerosol particles in Poland and their sources are rarely discussed in peer-reviewed journal articles despite serious air quality issues. A source apportionment of carbonaceous aerosol particles was performed during winter at a rural background environment field site in north-eastern Poland. Data were used of light absorption at seven wavelengths and levoglucosan concentrations al
Antibiotic persistence arises when a subset of cells in an otherwise susceptible bacterial population temporarily exhibits elevated tolerance to bactericidal antibiotics. While significant progress has been made in elucidating persister mechanisms, much of this research has focused on Gram-negative bacteria, and these findings are not always applicable to Gram-positive species. This study explores
Mobility is essential to our modern world to move people and goods. However, mobility has also its downside as transport sectors are substantial emitters of greenhouse gases and air pollutants. Increasingly energy efficient combustion engines and turbines, as well as electrification and carbon-neutral fuels, will reduce the climate impacts of transportation. When such technologies are combined wit
Objective To delineate organ-specific and systemic drivers of metabolic dysfunction-associated steatotic liver disease (MASLD), we applied integrative causal inference across clinical, imaging, and proteomic domains in individuals with and without type 2 diabetes (T2D). Methods Bayesian network analyses and complementary two-sample Mendelian randomization were used to quantify causal pathways link
Deep convolutional neural networks (CNNs) have been shown to predict poverty and development indicators from satellite images with surprising accuracy. This paper presents a first attempt at analyzing the CNNs responses in detail and explaining the basis for the predictions. The CNN model, while trained on relatively low resolution day- and night-time satellite images, is able to outperform human
Centre for East and South-East Asian Studies Course literature for COSM11 Asian Studies: The Economic Transformation of East and South-East Asia 12 ECTS. Required Reading listed here: 1005 Additional Reading reserved for new developments: 150 Total: 1155 All readings are available on Finn unless otherwise stated Alami, I., Dixon, A. D., & Mawdsley, E. (2021). State capitalism and the new global D/
https://www.ht.lu.se/media/utbildning/dokument/kurser/COSM11/20262/COSM11_Literature_2026.docx - 2026-06-29
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https://www.byggvetenskaper.lth.se/tillgaenglighetsredogoerelse/ - 2026-07-11
