All Outputs (3)

The Uptake of Sporopollenin Exine Capsules and Associated Bioavailability of Adsorbed Oestradiol in Selected Aquatic Invertebrates (2021)
Journal Article
Chapman, E., Meichanetzoglou, A., Boa, A. N., Hetjens, H., Faetsch, S., Teuchies, J., …Rotchell, J. M. (2021). The Uptake of Sporopollenin Exine Capsules and Associated Bioavailability of Adsorbed Oestradiol in Selected Aquatic Invertebrates. Bulletin of Environmental Contamination and Toxicology, 107, 876–882. https://doi.org/10.1007/s00128-021-03364-8

Lycopodium clavatum sporopollenin exine capsules (SpECs) are known to both adsorb and absorb chemicals. The aim of the present work was to determine whether oestradiol (E2) is ‘bioavailable’ to bioindicator species, either pre-adsorbed to, or in the... Read More about The Uptake of Sporopollenin Exine Capsules and Associated Bioavailability of Adsorbed Oestradiol in Selected Aquatic Invertebrates.

Consequences of combined exposure to thermal stress and the plasticiser DEHP in Mytilus spp. differ by sex (2021)
Journal Article
Mincarelli, L. F., Rotchell, J. M., Chapman, E. C., Turner, A. P., & Wollenberg Valero, K. C. (2021). Consequences of combined exposure to thermal stress and the plasticiser DEHP in Mytilus spp. differ by sex. Marine pollution bulletin, 170, Article 112624. https://doi.org/10.1016/j.marpolbul.2021.112624

Little is known about the combined effect of environmental factors and contaminants on commercially important marine species, and whether this effect differs by sex. In this study, blue mussels were exposed for seven days to both single and combined... Read More about Consequences of combined exposure to thermal stress and the plasticiser DEHP in Mytilus spp. differ by sex.

A divide-and-conquer approach to neural natural language generation from structured data (2021)
Journal Article
Dethlefs, N., Schoene, A., & Cuayáhuitl, H. (2021). A divide-and-conquer approach to neural natural language generation from structured data. Neurocomputing, 433, 300-309. https://doi.org/10.1016/j.neucom.2020.12.083

Current approaches that generate text from linked data for complex real-world domains can face problems including rich and sparse vocabularies as well as learning from examples of long varied sequences. In this article, we propose a novel divide-and-... Read More about A divide-and-conquer approach to neural natural language generation from structured data.