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Project: Formaldehyde emissions from wood composites bonded with bio-based adhesives Formaldehyde based adhesives dominate the market and are used almost exclusively for wood panel production. The use…
Project: Hörmander-Weyl calculus in the framework of ultra distributions This project concerns developing a calculus of Weyl operators, also feasible for objects which are more hard treated than…
Project: Radioactivity – NORM contamination of LNG fuel systems In this project, we study if liquefied natural gas (LNG) fuel systems are contaminated by natural occurring radioactive material (NORM).…
Project: Assessment of impacts on occupational safety and health when choosing marine fuels This project studies how the working environment and the indoor air quality on board a ship is affected when…
Project: Incentives for skills supply in a socially sustainable shipping This project aims to identify incentives at individual, organizational and industry levels for the skills supply in a socially…
Project: Efficient and reliable computations of scattering resonances Scattering resonance computations in nano-optics are important in the development of photothermal cancer therapy, optical…
Project: Development of an innovative centrifugal condensation scrubber The project is aiming to optimize and demonstrate a techno-economic solution to efficiently reduce particulate matter emission,…
Project: Predicting the water vapor sorption of wood with machine learning methods The water vapor sorption behavior of wood is a fundamental property that affects nearly all of its properties such as…
Project: Improving the competitive advantage of CLT-based building systems through engineering design and reduced carbon footprint The objective of this project is to increase the competitiveness of…
Project: Renewable hydrophobing agents for fibreboards based on tall oil The project aims at preparing and testing 100 % renewable formulations that are based on tall oil for effective…
Seed project: European spruce bark beetles; advanced predictive forecasting by means of machine learning The main objective for this seed project within Linnaeus University Centre for Data Intensive…
Seed project: ODXVR x NTS The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to submit an external funding application.…
Seed project: Detecting ’signs of learning’ in six-year-olds’ meaning making about science through digital tools The main objective for this seed project within the Knowledge environment Digital…
Seed project: A platform to collect and analyze canoe/kayak training data The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA)…
Seed project: IoT for ships – an untapped data resource The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is to establish…
Seed project: Digital transformation of communication between school and home The main objective for this seed project within Linnaeus Knowledge Environment Digital Transformations is to investigate…
Seed project: An Exploration of the Challenges and Possibilities of Multidimensional Visualization in the Context of Visual Learning Analytics The main objective for this seed project within Linnaeus…
Seed project: The paradox of over empowerment: Does patient empowerment have its limits? The main objective for this seed project within Linnaeus Knowledge Environment Digital Transformations is to…