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Surface hydrophobization of cellulose nanomaterials has been used in the development of nanofiller-reinforced polymer composites and formulations based on Pickering emulsions. Despite the well-known effect of hydrophobic domains on self-assembly or association of water-soluble polymer amphiphiles, very few studies have addressed the behavior of hydrophobized cellulose nanomaterials in aqueous medi

To decrease the complexity of motion-planning optimizations, a segmentation and merging strategy for maneuvers is proposed. Maneuvers that are at-the-limit of friction are of special interest since they appear in many critical situations. The segmentation pointsare used to set constraints for several smaller optimizations for parts of the full maneuver, which later are merged and compared withopti

The current enthusiasm for the circular economy (CE) offers a unique opportunity to advance the impact of research on sustainability transitions. Diverse interpretations of CE by scholars, however, produce partly opposing assessments of its potential benefits, which can hinder progress. Here, we synthesize policy-relevant lessons and research directions for a sustainable CE and identify three narr

Peak to average power (PAPR) reduction of OFDM signals is critical in order to improve power amplifier (PA) efficiency in base stations. For massive MIMO, the complexity of these methods can become a real bottleneck in implementing low power digital signal processing chains. In this work, we consider an antenna reservation technique, which uses a low complexity clipping method to reduce signal pea

Background: The aim was to review available biokinetic data, collect own experimental data, and propose an updated compartmental model for 2-[18F]FDG in the frame of the revision of the ICRP report on dose coefficients for radiopharmaceuticals used in diagnostic nuclear medicine. Methods: The compartmental model was developed based on published biokinetic data for 2-[18F]FDG. Additional data on ur

Losses and damages from climate change are not just a future risk but already a present reality, and “Loss and Damage” (L&D) as a policy domain has been formalised under the United Nations Framework Convention on Climate Change (UNFCCC), alongside mitigation and adaptation. While climate services currently provide strong support for adaptation and disaster recovery, here we propose that an exp

The revised Payment Services Directive (PSD2) is reshaping traditional banking by requiring banks to grant licensed third-party providers (TPPs) access to customer data. This paper explores PSD2’s impact on Fintech market entry, assessing both opportunities and ongoing structural barriers. Through a qualitative investigation, it identifies key barriers such as API standardization gaps, data access

Perceiving and understanding human motion is a fundamental problem in computer vision, with diverse applications encompassing sports analytics, healthcare monitoring, entertainment, and intelligent interactive systems. Multi-camera systems, by capturing multiple viewpoints simultaneously, enable robust tracking and reconstruction of human poses in 3D, overcoming limitations of single-view approach

Market-based climate policies have received increased attention, making it important to understand how they affect competition in the electricity market. This paper focuses on the green certificate policy which financially supports producers of renewably sourced electricity by means of tradable certificates, and develops a duopoly model that incorporates both the electricity and the green certific

This thesis concerns the evaluation of cost functionals on H2 when designing optimal controllers using finite Youla parameterizations and convex optimization. We propose to compute inner products of stable, strictly proper systems via solving Sylvester equations. The properties of different state space realizations of Laguerre filters, when performing Ritz expansions of the optimal controller are

Parallel-elastic joints can improve the efficiency and strength of robots by assisting the actuators with additional torques. For these benefits to be realized, a spring needs to be carefully designed. However, designing robots is an iterative and tedious process, often relying on intuition and heuristics. We introduce a design optimization framework that allows us to co-optimize a parallel elasti

Highly dynamic robotic tasks require high-speed and reactive robots. These tasks are particularly challenging due to the physical constraints, hardware limitations, and the high uncertainty of dynamics and sensor measures. To face these issues, it's crucial to design robotics agents that generate precise and fast trajectories and react immediately to environmental changes. Air hockey is an example

Compact automated warehouse solutions are a challenge for conventional fire protection systems, such as sprinklers. As an option to sprinkler systems some warehouses employ an Oxygen Reduction System (ORS). When designing an ORS, the most important parameter is the limiting oxygen concentration (LOC). The level of protection attained is directly proportional to the oxygen level applied, which is a

In May 2024 with a subsequent update in June 2025, the Swedish Medical Products Agency’s expert group revised guidelines on the management and treatment of respiratory syncytial virus (RSV) infection. This is an abridged version and commentary on the full recommendation including specific recommendations for the RSV-season 2025/2026. Key points are: (i) RSV is a seasonal, highly contagious infecti