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This article describes some of the findings from the ongoing Swedish research project “System Integrity Protection Schemes for added transfer capacity” (SPS4SE). The focus of the SPS4SE project has been to gather knowledge on how System Integrity Protection Schemes (SIPS) can be utilized to support a sustainable development of the Swedish power grid and the Nordic power system.
The low water flux and high production cost of ceramic membranes for vacuum membrane distillation (VMD) are among the factors limiting their feasibility for desalination applications. To address this challenge, highly permeable anodic alumina membranes were modified and evaluated for their properties in VMD using a highly permeable support. Owing to the nanostructures on its surface, the anodic al
Spine Computed Tomography (SCT) is essential for identifying fractures, tumors and degenerative spine diseases, assisting medical practitioners in formulating an accurate diagnosis and treatment. One of the core element of SCT is reporting. The effectiveness of spine reporting is often limited by challenges such as an inadequate infrastructure and lack of experts. Automated SCT analysis has the po
Background The fundamental problem with the pavement marking letter design is dealing with the phenomenon of image distortion by perspective. Because there has been a lack of a systematic way to deal with the problem on Korean pavement marking letters, the outputs have been determined by the installer's subjective design judgement. Ultimately, this causes low legibility. The purpose of this study
This invention is directed to a method for the preparation of docetaxel having an amorphous, anhydrous crystalline, or hydrated crystalline structure. In accordance with the invention, highly pure amorphous, anhydrous crystalline, or hydrated crystalline docetaxel can be produced with a high yield by using a solvent precipitation method, colloid formation method, etc.
The paper explores what the methodological considerations are for a study of educational practice and networked learning in technologically dense classrooms. The approach of the discussed study is informed by Actor-Network Theory (ANT) (Latour, 2005) and the paper outlines the methodological consequences for adopting principles associated with ANT and post-humanist critiques of representational ep
Purpose: To explore healthcare professionals' (HPs’) experiences of work-related challenges among people with inflammatory arthritis (IA). Methods: A qualitative, interview study using a hermeneutic approach was planned. HPs with different professional backgrounds working with people with rheumatic diseases were recruited. An interview guide was developed according to relevant literature. The anal
Transitioning towards a circular economy, where the existing building stock is more efficiently used, would significantly reduce material and energy use, emissions, and waste from the built environment sector. This study focuses on exploring what conditions are needed for circularity by imagining preferable circular futures for a 2035 timeframe and understanding the required actions to achieve the
Rapid developments in animal-tracking technology have enabled major advances in the field of movement ecology, which seeks to understand the drivers and consequences of movement across scales, taxa, and ecosystems. The field has made ground-breaking discoveries, yet the majority of studies in movement ecology remain reliant on observational approaches. While important, observational studies are li
The future of our planet relies on scientists' ability to effectively translate knowledge into action, and researchers have an imperative commitment to leverage their understanding. As aquatic early career researchers (ECRs), we draw upon personal experiences to share our learnings about how individuals can drive change. We showcase diverse approaches for ECRs to create meaningful impacts by conne
Subtle population structure remains a significant concern in genome-wide association studies. Using human height as an example, we show how quantile regression, a natural extension of linear regression, can better correct for subtle population structure due to its inherent ability to adjust for quantile-specific effects of covariates such as principal components. We utilize data from the UK Bioban
Learning a locomotion controller for a musculoskeletal system is challenging due to over-actuation and high-dimensional action space. While many reinforcement learning methods attempt to address this issue, they often struggle to learn human-like gaits because of the complexity involved in engineering an effective reward function. In this paper, we demonstrate that adversarial imitation learning c
Robot control through contact is challenging as it requires reasoning over long horizons and discontinuous system dynamics. Highly dynamic tasks such as Air Hockey additionally require agile behavior, making the corresponding optimal control problems intractable for planning in realtime. Learning-based approaches address this issue by shifting computationally expensive reasoning through contacts t
