Publikasjoner

ICP-MS, Technique and applications. NILU F

Uggerud, H.T.

Identification and apportionment of sources from air particulate matter at urban environments in Bangladesh.

Begum, B.A.; Nasiruddin, Md.; Randall, S.; Sivertsen, B.; Hopke, P.K.

Identification and quantification of polybrominated hexahydroxanthene derivatives and other halogenated natural products in commercial fish and other marine samples.

Hiebl, J.; Melcher, J.; Gundersen, H.; Schlabach, M.; Vetter, W.

Identification of POP candidates among chemicals in plastic. Screening for LRTP using the Emissions Fractions Approach

Breivik, Knut; Nikiforov, Vladimir; Davie-Martin, Cleo Lisa

There is considerable interest in identifying chemicals which have the potential to undergo long-range environmental transport (LRTP), accumulate in remote regions, and represent a possible risk to environmental and human health. In this report, we have screened a list of 1,000 organic chemicals, as well as selected brominated dioxins and furans (PBDD/Fs), for their potential to be dispersed, transferred to, and accumulated in remote regions. This screening was carried out applying a new set of LRTP metrics, collectively referred to as the emissions fractions approach (EFA), as implemented in a modified version of the OECD POV and LRTP (long-range transport potential) Screening Tool (The Tool).

NILU

Identification of toxaphene congeners in bird eggs by combining quadrupole NICI-MS and ion trap EI-MS/MS.

Skopp, S.; Oehme, M.; Herzke, D. Kallenborn, R.

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 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.

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

Castell, Nuria; Lützenkirchen, Susanne

Ilandføringsterminal for Ormen Lange. Konsekvenser av utslipp til luft. NILU OR

Knudsen, S,. Traaen, T, Aarrestad, P.A.

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).

IEEE (Institute of Electrical and Electronics Engineers)

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.

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.

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.