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Artificial intelligence (AI) methods are powerful tools for biological image analysis and processing. High-quality annotated images are key to training and developing new algorithms, but access to such data is often hindered by the lack of standards for sharing datasets. We discuss the barriers to sharing annotated image datasets and suggest specific guidelines to improve the reuse of bioimages an

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The intervention Balancing Everyday Life™ (BEL) helps service users achieve a balance among everyday activities and enhance personal recovery. BEL builds upon research for people with mental illness and on evidence from earlier activity-based interventions. This methodological paper presents the theoretical basis for BEL, which rests on five pillars of theories and models. Further, the BEL topics

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Rare earth elements (lanthanides) are critical materials for many applications, particularly those involved in new energy. Extracting these elements economically from low-concentration sources may be challenging. This study investigates the interaction of Ce and Gd with microalgae that have been triggered to form phosphate-rich granules. Lanthanides usually occur in nature as phosphates, and there

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Literature reviews lay the foundation for almost every academic research project, and sometimes are a scholarly contribution in its own right. To increase rigor and credibility the findings have to be valid and reliable just as in any other type of research. This paper summarizes recent methodological developments in the application systematic literature reviews in supply chain management. It anal

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As artificial intelligence (AI) reshapes organizational structures and forces leaders to reevaluate their professional identity, executive coaching has emerged as a key developmental resource. Despite this relationship, the coach’s perspective on how their practice evolves in AI contexts remains largely underexplored. This study examined how executive coaches experience and navigate AI-related lea

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Introduction: After resuscitation from out of hospital cardiac arrest (OHCA), mechanical ventilation (MV) and respiratory management are fundamental to support patients in the intensive care unit (ICU) and to minimise secondary brain injury. Best practices for MV and association with clinical outcomes in patients with OHCA remain unclear. Methods and analysis: This protocol describes a pre-planned

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The mcstas_gisans framework is a collection of Python scripts and modules tofacilitate the simulation of grazing-incidence small-angle neutron scattering(GISANS) experiments. This approach combines McStas instrument simulationwith BornAgain sample modeling capabilities. The Monte Carlo Particle Listsformat for particle trajectory allows exchange between simulations that enablesseamless transition

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This thesis explores possibilities and challenges for urban planners to contribute to a degrowth transformation. Degrowth calls for a reduction of production and consumption, a redistribution of wealth and a shift in societal norms and values to address the current environmental crises. According to the existing literature, urban planners may be able to help advance and implement degrowth. To expl