Publications

Impact loads of air pollutants on paintings: performance evaluation by modeling for microclimate frames.

Grøntoft, T.; Lopez-Aparicio, S.; Scharff, M.; Ryhl-Svendsen, M.; Andrade, G.; Obarzanowski, M.; Thickett, D.

Impact assessment on organic materials in selected European museums. NILU F

Dahlin, E.; Grøntoft, T.; Lazaridis, M.; Taylor, J.; Howell, D.; Blades, N.; Glytsos, T.; Henriksen, J.

Impact assessment for emissions to air from a planned aluminium smelter in Reydarfjordur, Iceland. NILU OR

Guerreiro, C.; Laupsa,H.; Knudsen, S.

Immunotoxicity of lead and cadmium nanoparticles in mice exposed inhalation.

Mikuska, P.; Liskova, A.; Capka, l.; Kuricova, M.; Rollerova, E.; Krumal, K.; Wsolova, L.; Coufalik, P.; Alacova, R.; Dusinska, M.; Vecera, Z.; Docekal, B.; Tulinska, J.

Immunological parameters in aircrews occupationally exposed to radiation and stress.

Liskova, A.; Tulinska, J.; Kuricova, M.; Neubauerova, E.; Jahnova, E.; Horvathova, M.; Nemessanyi, T.; Dusinska, M.

Immune and biochemical changes in workers exposed to asbestos.

Tulinska, J.; Liskova, A.; Kuricova, M.; Jahnova, E.; Horvathova, M.; Ilavska, S.; Dusinska, M.; Spustová, V.; Volkovová, K.; Wsólová, L.; Machata, M.; Kyrtopoulos, S.A.; Fuortes, L.

Image-Text Connection: Exploring the Expansion of the Diversity Within Joint Feature Space Similarity Score

Mohammadi, Mahsa; Eftekhari, Mahdi; Hassani, Amirhossein

Cross-modal representation learning aims to learn a shared representation space where data from multiple modalities can be effectively compared, fused, and understood. This paper investigates the role of increased diversity in the similarity score matrix in enhancing the performance of the CLIP (Contrastive Language-Image Pretraining), a multi-modal learning model that establishes a connection between images and text within a joint embedding space. Two transforming approaches, sine and sigmoid (including two versions), are incorporated into the CLIP model to amplify larger values and diminish smaller values within the similarity matrix (logits). Hardware limitations are addressed using a more compact text encoder (DistilBERT) and a pre-trained ResNet50 image encoder. The proposed adaptations are evaluated on various benchmarks, including image classification and image/text retrieval tasks, using 10 benchmark datasets such as Food101, Flickr30k, and COCO. The performance of the adapted models is compared to the base CLIP model using Accuracy, mean per class, and Recall@k metrics. The results demonstrate improvements in Accuracy (up to 5.32% enhancement for the PatchCamelyon dataset), mean per class (up to 14.48% enhancement for the FGVCAircraft dataset), and retrieval precision (with an increase of up to 45.20% in Recall@1 for the COCO dataset), compared to the baseline algorithm (CLIP).

Ikke-spesifikk screening av støv fra norske husholdninger

Froment, Jean Francois; Skaar, Jøran Solnes; Gundersen, Hans; Rostkowski, Pawel

Denne rapporten presenterer resultater fra en ikke-spesifikk screening av husstøv fra norske hjem. Totalt ble 203 kjemiske forbindelser identifisert, med ftalater som den mest dominerende stoffgruppen. Flere av de påviste stoffene er kjent som hormonforstyrrende, nevrotoksiske eller klassifisert som persistente, mobile og toksiske (PMT). Resultatene viser et endret stoffmønster sammenlignet med tidligere studier og understreker behovet for videre overvåkning av innemiljø, forskning på cocktail-effekter og bedre regulering av forbrukerprodukter.

NILU

iFLINK, an example of public innovation project with focus on air quality sensor networks

Castell, Nuria; Lützenkirchen, Susanne

Identifying the research and infrastructure needs for the global assessment of hazardous chemicals ten years after establishing the Stockholm Convention.

Klánová, J.; Diamond, M.; Jones, K.; Lammel, G.; Lohmann, R.; Pirrone, N.; Scheringer, M.; Balducci, C.; Bidleman, T.; Bláha, K.; Bláha, L.; Booij, B.; Bouwman, H.; Breivik, B.; Eckhardt, S.; Fiedler, H.; Garrigues, P.; Harner, T.; Holoubek, I.; Hung, H.; MacLeod, M.; Magulova, K.; Mosca, S.; Pistocchi, A.; Simonich, S.; Smedes, F.; Stephanou, E.; Sweetman, A.; Sebková, K.; Venier, M.; Vighi, M.; Vrana, B.; Wania, F.; Weber, R.; Weiss, P.

Identifying regional methane isotopic source signatures from δ13C measurements at European stations in the InGOS TNA program.

Fisher, R.; Lowry, D.; Lanoisellé, M.; Zazzeri, G.; Myhre, C.L.; Aalto, T.; Haszpra, L.; Nisbet, E.

Identifying and Quantifying Atmospheric Sources of Organic Contaminants to the Habitat of the Saint Lawrence Estuary Belugas

Wania, Frank; Zhan, F.; Li, Y.; Oh, J.; Shunthirasingham, Chubashini; Lei, Y. D.; Lu, Z.; Breivik, Knut; Chaaben, A. B.; Castilloux, A. D.; Alexandrou, N.; Weng, C.; Hung, H.