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Fant 9759 publikasjoner. Viser side 261 av 391:

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Exposure to oxychlordane is associated with shorter telomeres in arctic breeding kittiwakes.

Blevin, P.; Angelier, F.; Tartu, S.; Ruault, S.; Bustamante, P.; Herzke, D.; Moe, B.; Bech, C.; Gabrielsen, G.W.; Bustnes, J.O.; Chastel, O.

2016

Exposure to multiple environmental agents and their effect.

Koppe, J.; Bartonova, A.; Bolte, G.; Bistrup, M.L.; Busby, C.; Butter, M.; Dorfman, P.; Fucic, A.; Gee, D.; Van Den Hazel, P.; Howard, V.; Kohlhuber, M.; Leijs, M.; Lundqvist, C.; Moshammer, H.; Naginiene, R.; Nicolopoulou-Stamati, P.; G.; Wallis, M.; Zuurbier, M.

2006

Exposure scenario approach to environmental health problems: two case studies. NILU F

Bartonova, A.; Liu, H.Y.; Loh, M.; ENVIRISK team.

2011

Exposure risks from pollutants in domestic environments: The urban exposure project.

Coulson, G.; Bartonova, A.; Bøhler, T.; Broday, D.M.; Colbeck, I.; Fløisand, I.; Fudala, J.; Hollander, W.; Housiadas, C.; Lazaridis, M.; Smolik, J.

2005

Exposure of children to particulate matter in urban areas - model calculations.

Fløisand, I.; Mc Innes, H.; Broday, D.; Lützenkirchen, S.; Holländer, W.; Bartonova, A.

2006

Exposure of children and adults to particulate matter in urban areas - model calculations. NILU PP

Fløisand, I.; Mc Innes, H.; Broday, D.; Lützenkirchen, S.; Holländer, W.; Bartonova, A.; Jablonska, H.T.B.

2007

Exposure maps for two megacities within the MEGAPOLI project.

Soares, J.; Karppinen, A.; Kukkonen, J.; Denby, B.; Finard, S.; Cassiani, M.; Radice, P.

2011

Exposure assessment with the urban exposure management tool - case study Oslo.

Lützenkirchen, S.; Laupsa, H.; Fløisand, I.; Bøhler, T.; Hollander, W.; Broday, D.M.

2006

Exposure assessment with the urban exposure management tool - case study Oslo.

Lützenkirchen, S.; Laupsa, H.; Fløisand, I.; Bøhler, T.

2006

Exploring the role of sea-ice for seasonal forecasts.

Senan, R.; Benestad, R.E.; Balmaseda, M.; Ferranti, L.; Orsolini, Y.J.; Melsom, A.

2009

Exploring the relationship between the Arctic sea-ice and mid to high latitude circulation anomalies. NILU PP

Benestad, R.E.; Senan, R.; Balmaseda, M.A.; Ferranti, L.; Orsolini, Y.J.; Melsom, A.

2009

Exploring the Influence of Local Urban and Industrial Carbon-Based Pollutant Sources on Total Column Concentration Enhancements in Houston, Texas during TRACER

Spicer, Elizabeth; Crowell, Sean; Xu, Feng; Klein, Petra; Honeycutt, Wesley T.; Jacobs, Nicole; Miller, Timothy; Shearer, Andrew S.; Kadiyala, Vishnu Priyatamkumar; Smith, Elizabeth N.; Flynn, Connor J.; Krishnankutty, Nalini; Livingstone, Lucas; Flynn, James H.; Moreira, Maria Eugenia Velasco; Bell, Tyler M.; Keeler, Evan; Kyrouac, Jenni; Ermold, Brian

2024

Exploring the connection between COVID19, the energy crisis and PM2.5 emissions from residential heating

Lopez-Aparicio, Susana; Grythe, Henrik; Markelj, Miha; Evangeliou, Nikolaos; Walker, Sam-Erik

Geopolitical events have shown to threaten European energy security in 2022. In Norway, accustomed to low energy prices, the southern part saw 4 times higher electricity prices in 2022 than long term average, whereas in the north, energy prices remained stable. This offers an opportunity to examine the effect of price on household energy consumption and PM2.5 emissions from the residential sector. In the south, electricity consumption went down by 10% while in the north it remained unchanged relative to expected values. While the documented correlation between increased electricity prices and reduced consumption is well-established, our study uniquely captures a substantial shift towards wood as an alternative energy source. In the south, wood for heating increased by approximately 40%, effectively replacing half of the electricity saved. This increase happened despite prices being curbed by strong government subsidies on electricity. Faced with higher energy costs in Europe, we simulate a scenario where consumers across Europe look for affordable energy. With gas and electricity prices predicted to remain well above long-term averages until 2030, biomass will be an attractive option. Our study shows how a shift can endanger Europe's Zero-Pollution strategy, and the need for initiatives targeting the reduction of residential biomass heating.

Elsevier

2024

Exploring the Chemical Complexity and Sources of Airborne Fine Particulate Matter in East Asia by Nontarget Analysis and Multivariate Modeling

Froment, Jean Francois; Park, Jong-Uk; Kim, Sang-Woo; Cho, Yoonjin; Choi, Soobin; Seo, Young Hun; Baik, Seungyun; Lee, Ji Eun; Martin, Jonathan W.

The complex and dynamic nature of airborne fine particulate matter (PM2.5) has hindered understanding of its chemical composition, sources, and toxic effects. In the first steps of a larger study, here, we aimed to elucidate relationships between source regions, ambient conditions, and the chemical composition in water extracts of PM2.5 samples (n = 85) collected over 16 months at an observatory in the Yellow Sea. In each extract, we quantified elements and major ions and profiled the complex mixtures of organic compounds by nontarget mass spectrometry. More than 50,000 nontarget features were detected, and by consensus of in silico tools, we assigned a molecular formula to 13,907 features. Oxygenated compounds were most prominent, followed by mixed nitrogenated/oxygenated compounds, organic sulfates, and sulfonates. Spectral matching enabled identification or structural annotation of 43 substances, and a workflow involving SIRIUS and MS-DIAL software enabled annotation of 74 unknown per- and polyfluoroalkyl substances with primary source regions in China and the Korean Peninsula. Multivariate modeling revealed seasonal variations in chemistry, attributable to the combination of warmer temperatures and maritime source regions in summer and to cooler temperatures and source regions of China in winter.

2025

Exploring online public survey lifestyle datasets with statistical analysis, machine learning and semantic ontology

Chatterjee, Ayan; Riegler, Michael; Johnson, Miriam S.; Das, Jishnu; Pahari, Nibedita; Ramachandra, Raghavendra; Ghosh, Bikramaditya; Saha, Arpan; Bajpai, Ram

Lifestyle diseases significantly contribute to the global health burden, with lifestyle factors playing a crucial role in the development of depression. The COVID-19 pandemic has intensified many determinants of depression. This study aimed to identify lifestyle and demographic factors associated with depression symptoms among Indians during the pandemic, focusing on a sample from Kolkata, India. An online public survey was conducted, gathering data from 1,834 participants (with 1,767 retained post-cleaning) over three months via social media and email. The survey consisted of 44 questions and was distributed anonymously to ensure privacy. Data were analyzed using statistical methods and machine learning, with principal component analysis (PCA) and analysis of variance (ANOVA) employed for feature selection. K-means clustering divided the pre-processed dataset into five clusters, and a support vector machine (SVM) with a linear kernel achieved 96% accuracy in a multi-class classification problem. The Local Interpretable Model-agnostic Explanations (LIME) algorithm provided local explanations for the SVM model predictions. Additionally, an OWL (web ontology language) ontology facilitated the semantic representation and reasoning of the survey data. The study highlighted a pipeline for collecting, analyzing, and representing data from online public surveys during the pandemic. The identified factors were correlated with depressive symptoms, illustrating the significant influence of lifestyle and demographic variables on mental health. The online survey method proved advantageous for data collection, visualization, and cost-effectiveness while maintaining anonymity and reducing bias. Challenges included reaching the target population, addressing language barriers, ensuring digital literacy, and mitigating dishonest responses and sampling errors. In conclusion, lifestyle and demographic factors significantly impact depression during the COVID-19 pandemic. The study’s methodology offers valuable insights into addressing mental health challenges through scalable online surveys, aiding in the understanding and mitigation of depression risk factors.

Nature Portfolio

2024

Exploring microplastic contamination in reef-associated fishes of the Tropical Atlantic

Justino, Anne K.S.; Ferreira, Guilherme V.B.; Fauvelle, Vincent; Schmidt, Natascha; Lenoble, Veronique; Pelage, Latifa; Lucena-Fredou, Flavia

Elsevier

2023

Exploring microplastic contamination in Guiana dolphins (Sotalia guianensis): Insights into plastic pollution in the southwestern tropical Atlantic

Gonçalves Pereira, Letícia; Ferreira, Guilherme V.B.; Justino, Anne K.S.; Tavares de Oliveira, Kelen Melo; Torres de Queiroz, Monique; Schmidt, Natascha; Fauvelle, Vincent; Carvalho, Vitor Luz; Lucena-Fredou, Flavia

Marine mammals are considered sentinel species and may act as indicators of ocean health. Plastic residues are widely distributed in the oceans and are recognised as hazardous contaminants, and once ingested can cause several adverse effects on wildlife. This study aimed to identify and characterise plastic ingestion in the Guiana dolphins (Sotalia guianensis) from the Southwestern Tropical Atlantic by evaluating the stomach contents of stranded individuals through KOH digestion and identification of subsample of particles by LDIR Chemical Imaging System. Most of the individuals were contaminated, and the most common polymers identified were PU, PET and EVA. Microplastics were more prevalent than larger plastic particles (meso- and macroplastics). Smaller particles were detected during the rainy seasons. Moreover, there was a positive correlation between the stomach content mass and the number of microplastics, suggesting contamination through trophic transfer.

Elsevier

2023

Exploring Ethical Impacts of Nanomaterials for Wastewater Remediation

Malsch, Ineke; Isigonis, Panagiotis; Bouman, Evert; Afantitis, Antreas; Melagraki, Georgia; Antunes, Dalila; Dusinska, Maria

2024

Exploiting crowdsourced observations: High-resolution mapping of real-time urban air quality throughout Europe.

Schneider, P.; Castell, N.; Vallejo, I.; van den Bossche, J.; Lahoz, W.; Bartonova, A.; the CITI-SENSE Consortium Team.

2016

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