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2025
2025
CompSafeNano project: NanoInformatics approaches for safe-by-design nanomaterials
The CompSafeNano project, a Research and Innovation Staff Exchange (RISE) project funded under the European Union's Horizon 2020 program, aims to advance the safety and innovation potential of nanomaterials (NMs) by integrating cutting-edge nanoinformatics, computational modelling, and predictive toxicology to enable design of safer NMs at the earliest stage of materials development. The project leverages Safe-by-Design (SbD) principles to ensure the development of inherently safer NMs, enhancing both regulatory compliance and international collaboration. By building on established nanoinformatics frameworks, such as those developed in the H2020-funded projects NanoSolveIT and NanoCommons, CompSafeNano addresses critical challenges in nanosafety through development and integration of innovative methodologies, including advanced in vitro models, in silico approaches including machine learning (ML) and artificial intelligence (AI)-driven predictive models and 1st-principles computational modelling of NMs properties, interactions and effects on living systems. Significant progress has been made in generating atomistic and quantum-mechanical descriptors for various NMs, evaluating their interactions with biological systems (from small molecules or metabolites, to proteins, cells, organisms, animals, humans and ecosystems), and in developing predictive models for NMs risk assessment. The CompSafeNano project has also focused on implementing and further standardising data reporting templates and enhancing data management practices, ensuring adherence to the FAIR (Findable, Accessible, Interoperable, Reusable) data principles. Despite challenges, such as limited regulatory acceptance of New Approach Methodologies (NAMs) currently, which has implications for predictive nanosafety assessment, CompSafeNano has successfully developed tools and models that are integral to the safety evaluation of NMs, and that enable the extensive datasets on NMs safety to be utilised for the re-design of NMs that are inherently safer, including through prediction of the acquired biomolecule coronas which provide the biological or environmental identities to NMs, promoting their sustainable use in diverse applications. Future efforts will concentrate on further refining these models, expanding the NanoPharos Database, and working with regulatory stakeholders thereby fostering the widespread adoption of SbD practices across the nanotechnology sector. CompSafeNano's integrative approach, multidisciplinary collaboration and extensive stakeholder engagement, position the project as a critical driver of innovation in NMs SbD methodologies and in the development and implementation of computational nanosafety.
2025
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
2025
Intrusion Detection Systems (IDS) are critical in safeguarding network infrastructures against malicious attacks. Traditional IDSs often struggle with knowledge representation, real-time detection, and accuracy, especially when dealing with high-throughput data. This paper proposes a novel IDS framework that leverages machine learning models, streaming data, and semantic knowledge representation to enhance intrusion detection accuracy and scalability. Additionally, the study incorporates the concept of Digital Sovereignty, ensuring that data control, security, and privacy are maintained according to national and regional regulations. The proposed system integrates Apache Kafka for real-time data processing, an automatic machine learning pipeline (e.g., Tree-based Pipeline Optimization Tool (TPOT)) for classifying network traffic, and OWL-based semantic reasoning for advanced threat detection. The proposed system, evaluated on NSL-KDD and CIC-IDS-2017 datasets, demonstrated qualitative outcomes such as local compliance, reduced data storage needs due to real-time processing, and improved adaptability to local data laws. Experimental results reveal significant improvements in detection accuracy, processing efficiency, and Sovereignty alignment.
2025
Skogens helsetilstand i Norge. Resultater fra skogskadeovervåkingen i 2023
Skogens helsetilstand påvirkes i stor grad av klima og værforhold, enten direkte ved tørke, frost og vind, eller indirekte ved at klimaet påvirker omfanget av soppsykdommer og insektangrep. Klimaendringene og den forventede økningen i klimarelaterte skogskader gir store utfordringer for forvaltningen av framtidas skogressurser. Det samme gjør invaderende skadegjørere, både allerede etablerte arter og nye som kan komme til Norge i nær framtid. I denne rapporten presenteres resultater fra skogskadeovervåkingen i Norge i 2023 og trender over tid for følgende temaer:
(i) Landsrepresentativ skogovervåking;
(ii) Intensiv skogovervåking;
(iii) Overvåking av bjørkemålere i Troms og Finnmark;
(iv) Barkbilleovervåkingen 2023: økende fangster – særlig i stormrammede områder;
(v) Søk etter Ips-arter utenfor det nordvestlige hjørnet av granas utbredelse i Europa;
(vi) Askeskuddsyke;
(vii) Andre spesielle skogskader i 2023.
NIBIO
2025
2025
2025
Anthropogenic compounds in the northernmost Atlantic puffin population
Contamination by organic pollutants, even in remote regions, poses a growing threat to wildlife, including seabirds. However, for many seabirds breeding at high latitudes, both the extent and nature of contaminant exposure remain largely unknown. This study aimed to identify the persistent organic pollutants (POPs) present in the Svalbard Atlantic puffin Fratercula arctica at the northern limit of its range. We also compare contaminant concentrations with those found in other species breeding on Svalbard and in puffin colonies further south. The Svalbard puffins were found to be contaminated by organochlorine pesticides (OCPs), polychlorinated biphenyls (PCBs), and per- and polyfluoroalkyl substances (PFAS). No significant sex difference was found. OCPs, PCBs and/or PFASs concentrations in Svalbard puffins were comparable to those of Brünnich's guillemots Uria lomvia, black guillemots Cepphus grylle, and/or little auks Alle alle, but lower than in glaucous gulls Larus hyperboreus. PFAS concentrations were also lower than in black-legged kittiwakes Rissa tridactyla. OCP and PCB concentrations were lower on Svalbard than in puffin colonies further south. This study is the first to document PFAS concentrations in puffins, therefore it remains unknown whether PFAS levels were also lower on Svalbard than further south. These comparisons should be interpreted with caution, as data for different species or colonies were collected in different years, and contaminant levels vary over time. The current contaminant concentrations indicate that Svalbard puffins are still at low risk for biological effects, but continued monitoring is needed to assess potential future changes.
2025
Environmental Contaminants in an Urban Fjord, 2024 – Emphasis on Alna River
This report presents data from the fourth year of a 5-year period of the Urban Fjord
programme. The programme started in 2013 and has since been altered/advanced.
In 2024 the programme covers sampling and analyses of water, water moss,
invertebrates, and trout from Alna River, as well as stormwater from Eastern Oslo
City. A sampling campaign was also conducted for source tracing of chlorhexidine,
dichloromethane and trichloromethane previously found in Alna River. A total of
240 single compounds/isomers were analyzed, and frequent detection was found
of specifc PFAS compounds in aqueous phases, other specifc PFAS compounds in
trout liver, UV-compounds and certain QACs in the particulate fraction of
stormwater, certain benzothiazoles in stormwater (dissolved and/or particulate
fraction) , chlorinated paraffns (MCCP and LCCP) in biota, certain siloxanes in
nearly all matrices, metals in all matrices, and PCBs in biota. Biomagnifcation was
only observed for a couple of the PCB congeners. However, as expected,
biomagnifcation was observed for mercury and PFOS. Biomagnifcation of silver
was observed when trout was represented by liver samples, but not muscle samples.
The source tracing showed the presence of the compounds at several stations
Norsk institutt for vannforskning (NIVA)
2025
Denne rapporten beskriver en studie utført av NILU for Nordre Follo kommune, med støtte fra Folkehelseinstituttet. Målet var å prøve uhildet kartlegging som metode for å undersøke hvilke organisk-kjemiske forbindelser som finnes i nedbørfeltet til drikkevannskilden Gjersjøen. Som del av dette ønsket vi også å identifisere forbindelser som forårsaker feilaktige, store utslag i nitratsensorer. Ved bruk av høyoppløselig massespektrometri og miljøforensiske metoder ble 163 markører identifisert, inkludert aspirin, kreatin og kreatinin, knyttet til kloakkforurensning under kraftig nedbør. Funnene gir innsikt i kjemisk interferens og kan forbedre overvåkingssystemer og vannforvaltning.
NILU
2025
2025
2025
National E-waste Monitor 2025 - Norway
The National E-waste Monitor 2025 – Norway provides a detailed assessment of the current situation of e-waste statistics and legislation, and an outlook on e-waste statistics up to 2050.
Norway is the world’s leading nation in Waste Electrical and Electronic Equipment (WEEE) generation per capita, producing 27.5 kg per person in 2022, equivalent to 149 kt.
However, the country has established an efficient collection system, successfully gathering 72% of generated e-waste, with 107 kt tons collected in 2022 (approximately 19.5 kg per capita).
The country’s WEEE stock has seen significant growth over the past decade, expanding from 14 million tons in 2010 to nearly 20 million tons in 2022. However, based on the monitor’s results, the implementation of robust Circular Economy measures could help EEE Put on the Market in Norway reaching, by 2050, half of the to 2010 levels (67 kt). The big drop is explained by more repairability and improved durability of EEE products; by contrast, the projection in a Business as Usual scenario would be 5 times higher (294 kt) than in the Circular Economy scenario.
In terms of international trade, Norway reported 20 kt of used EEE exports for reuse, primarily within the European Union. Legal WEEE exports saw an increase from 27 kt in 2022 to 38 kt in 2023. Authorities intercepted 15.5 t of illegal exports due to inadequate documentation and functionality testing.
Upcoming country investments may go in the direction of recycling technologies for rare earth metals and precious materials recovery, improved small electronics collection systems, stricter labelling requirements for recyclable components and hazardous substances.
While Norway’s e-waste management system is already considered exemplary, the monitor’s results emphasize the need for more ambitious targets aligned with the WEEE Directive to create a truly sustainable and circular electronics management system. The focus is now shifting toward public awareness campaigns to encourage repair over replacement and the development of more efficient collection methods for small electronic devices.
Citation: E. D’Angelo, M. Schubert, T. Yamamoto, C.P. Baldé, E. Bourgé and G. Abbasi, United Nations Institute for Training and Research, NILU, “National E-waste monitor 2025 - Norway”, 2025, Bonn/Oslo, Germany and Norway.
NILU
2025
Methane in Svalbard (SvalGaSess)
Methane is a powerful greenhouse gas whose emission into the atmosphere from Arctic environments is increasing in response to climate change. At present, the increase in atmospheric methane concentrations recorded at Ny-Ålesund and globally threatens the Paris Agreement goal of limiting warming to 2 degrees, preferably 1.5 degrees, by increasing the need for abatements. However, our understanding of the physical, chemical and biological processes that control methane in the Arctic are strongly biased towards just a few lowland sites that are not at all like Svalbard and other similar mountainous, ice-covered regions. Svalbard can therefore be used to better understand these locations. Svalbard’s methane stocks include vast reserves of ancient, geogenic methane trapped beneath glaciers and permafrost. This methane supplements the younger, microbial methane mostly produced in waterlogged soils and wetlands during the summer and early winter. Knowledge about the production, removal and migration of these two methane sources in Svalbard’s complex landscapes and coastal environments has grown rapidly in recent years. However, the need to exploit this knowledge to produce reliable estimates of present-day and future emissions of methane from across the Svalbard landscape is now paramount. This is because understanding these quantities is absolutely necessary when we seek to define how society must adjust in order to better manage greenhouse gases in Earth’s atmosphere
2025
2025
Seminar focused on health inequality arranged by the project Healthy Choices and the Social gradient.
2025
2025