Search results

Filter

Filetype

Your search for "Fc coins Buyfc26coins.com is EA Sports official for FC 26 coins The service is affordable and quick..hl9L" yielded 82792 hits

Comment on Ombashi, van der Goes, Versnel, Khonsari, van der Molen: guidance to develop a multidisciplinary, international, pediatric registry: a systematic review, Orphanet Journal of Rare diseases, 2023

Recently, Ombashi et al. published a systematic review aiming to identify the pitfalls in the development and implementation as well as factors influencing long-term success of a multidisciplinary, international registry for cleft care on a global scale. The purpose of this letter to the editor is to highlight that the review failed to include the Swedish quality registry for patients born with cl

Rehearsing Emotions : The Process of Creating a Role for the Stage

This thesis takes as its starting point the dramaturgical metaphor of the world as a stage, which is used in sociological role theories. These theories often presume what stage acting is about in order to use it as a simile for every day acting. My intention is to investigate how stage actors actually work with their roles, in particular how they work with emotions, and how it affects their privat

Sustainable Distribution of Responsibility for Climate Change Adaptation

To gain legitimacy for climate change adaptation decisions, the distribution of responsibility for these decisions and their implementation needs to be grounded in theories of just distribution and what those affected by decisions see as just. The purpose of this project is to contribute to sustainable spatial planning and the ability of local and regional public authorities to make well-informed

Inverse probability weighted generalised estimating equations for longitudinal data

Longitudinal study designs, in which variables of interest are observed at multiple time points in a study population, are frequently used in clinical research. Missing data are common in these types of studies. Moreover, in studies investigating a population where the mortality rate is high, data can be truncated by death. To handle missing or truncated data, it is important to investigate the un

Robust Multi-Objective Optimization of Chromatographic Rare Earth Element Separation

Rare earth elements are strategic commodities in many countries, and an important resource for the growing modern technology industry. As such, there is an increasing interest for development of rare earth element processing, and this work is a part of further development of chromatography as a rare earth element separation process method. Process optimization is pivotal for process development, a

Teaching and learning regimes as an educational challenge and opportunity

Implicit assumptions, approaches, rules and practices in teaching i.e. teaching and learning regimes (TLRs) are produced and reproduced (cf. Trowler & Cooper 2002) in the closest teaching environment, traditionally within a discipline. However, multidisciplinary programs implies that teachers from different disciplines and with different taken for granted assumptions, approaches and rules are

Context matters! : how? : exploring perceptions of context adaptation in traffic management change processes

Increased understanding of the context and context adaptation is needed since effective change implementation and context are connected. This thesis begins to explore the role of context and context adaptation in traffic management change processes to increase knowledge on how organizational change can be managed more successfully.The empirical context for this thesis is The Swedish Transport Admi

A risk perspective on common operational pictures : A case study of the Swedish Counties’ Coordination Office for the Covid-19 respons

The Covid-19 crisis has led to widespread impacts on society, not only in terms of high death tolls, but also in terms of cascading effects for essentially all societal sectors; especially due to all measures taken to reduce the spread of the disease. A range of actors have become involved in the response to the pandemic and to ensure appropriate actions being taken, these actors need good situati

Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications

The complexity and dynamicity of microservice architectures in cloud environments present substantial challenges to the reliability and availability of the services built on these architectures. Therefore, effective anomaly detection is crucial to prevent impending failures and resolve them promptly. Distributed data analysis techniques based on machine learning (ML) have recently gained attention