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Changes in the energy landscape relating both to the ambitions of a green energy transformation as well as increasing global security concerns, have led to increased attention to new energy carriers. These can serve the role of allowing for the electrification of transport and decarbonization of industries as well as to reduce the effects of variation in many sustainable energy sources such as winChanges in the energy landscape relating both to the ambitions of a green energy transformation as well as increasing global security concerns, have led to increased attention to new energy carriers. These can serve the role of allowing for the electrification of transport and decarbonization of industries as well as to reduce the effects of variation in many sustainable energy sources such as win
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Intermolecular structures of complexes formed between a charged polymer and a spherical and oppositely charged macroion have been studied by employing the primitive model solved by Monte Carlo simulations. The strong-complex case involving a polyion and a macroion with equal absolute charges and without small ions was considered. The influence of the polyion flexibility with a bare persistence len
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This thesis studies the role of interaction between charged particles for transport and optical properties in nanostructures. Simulations are provided for a quantitative description of the system dynamics probed by either current spectroscopy or light absorption. In the first part of the thesis (Part I) the basic theories are described and in the second part of the thesis (Part II) the papers lis
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Obl Gehörspiano Kantor 2021
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Nowadays, autonomous electric vehicles (AEVs) are increasingly popular due to low resource consumption, low pollutant emission, and high efficiency. In practice, Vehicle-to-Grid (V2G) networks supply energy power to EVs to ensure the usage of EVs. However, there are still certain security and privacy concerns in V2G connections, such as identity impersonation and message manipulation. Additionally
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In order to move away from fossil fuels many governments and industries are focusing their new investments in electricity and alternative fuels such as green hydrogen from electrolyzers using renewable electricity. High investment costs and electricity costs are a hindrance for the future development of a hydrogen economy which can utilize an increasing intermittent power generation. The aim of th
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In this episode, PhD researcher Federica Catonini speaks to Professor Vito De Lucia from the Norwegian Centre for the Law of the Sea about the relationship between the BBNJ Agreement and climate change. They address topics such as the relevance of the BBNJ for climate change, ocean carbon sinks conservation, ocean carbon dioxide removal, the potential issues and tensions between biodiversity conse
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The electricity market exhibits significant uncertainty arising from rapid fluctuations in prices, variations in load demand, and the intermittent nature of renewable energy resources. Effectively managing residential energy under these dynamic conditions is a challenging task. Demand Response (DR) offers a practical solution by enabling the flexible scheduling of energy consumption in response to
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Municipal wastewater treatment plants are constantly forced to make improvements. The main objectives are to reduce energy consumption, to increase the treatment capacity and to improve the effluent water quality. Microsieves in combination with chemical pretreatment can potentially fulfil these objectives. In this work, experiments were mainly conducted at the large pilot scale, and supplementary
Machine Learning and Formal Methods
10 juni 2026 12:00 till 17:00 | Seminarium The adoption of Artificial Intelligence (AI) and Machine Learning (ML) presents several challenges, among which the lack of trust in the decisions made by such systems remains a major concern. Formal methods have historically provided the foundation for rigorously verifying software systems, and they could play a key role in fostering trust in AI/ML techn
https://www.nextg2com.lu.se/evenemang/machine-learning-and-formal-methods - 2026-07-11
Machine Learning and Formal Methods
10 juni 2026 12:00 till 17:00 | Seminarium The adoption of Artificial Intelligence (AI) and Machine Learning (ML) presents several challenges, among which the lack of trust in the decisions made by such systems remains a major concern. Formal methods have historically provided the foundation for rigorously verifying software systems, and they could play a key role in fostering trust in AI/ML techn
https://www.eit.lth.se/evenemang/machine-learning-and-formal-methods - 2026-07-11
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Lymphocytes from human peripheral blood have been separated by countercurrent distribution in a charged aqueous two-phase system composed of Dextran T 500 and polyethylene glycol 6000 with a cell yield of 59–88% and viability above 90%. A highly reproducible partition pattern was seen with four distinct peaks. Lymphocytes with surface membrane immunoglobulin (SmIg) were located in the first part o
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Streptococcus bovis/Streptococcus equinus complex (SBSEC) is a common cause of infective endocarditis (IE). For IE-pathogens, the capacity to activate and aggregate platelets is believed to be an important virulence mechanism. While the interactions between bacteria and platelets have been described in detail for many Gram-positive pathogens, little research has been carried out with SBSEC in this
