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Philosophers’ search for the best way to explain human actions has led many to accept a core psychological model that can be supplemented by other forms of action explanation when needed. Rather than settling for this model –where everything ultimately hinges on psychologicalexplanation – this paper argues for a pluralistic view. It does not claim that the psychological view is
The purpose of this study was to identify if and how the personal perspectives and views of social workers active within local social services departments in Sweden might affect how they carry out the transfer of children’s custody from biological to foster parents. The general discourse in child welfare in Sweden gives predominance to a family preservation perspective in which foster care placeme
Summary This thesis is a study which primary objective is to examine the court´s risk assessment in legal custody, and contact disputes when a child is at risk of being harmed. My thesis also includes an interdisciplinary perspective to give a more detailed understanding of the process – of which consequences it entails if authorities and courts don´t make reliable risk assessments. Physical, psyc
This paper presents work done within the EU project STARR. Within the framework of the project technologies to empower and support stroke survivors are developed. We report on the iterative development of an outdoor activity game for stroke survivors, and discuss design choices, experiences from the initial testing and outline potential future developments.
Tips och tricks för dig som undervisar Designvetenskaper anordnade 2014 ett seminarium om "lärartricket" baserat på ett tidigare seminarium av Kristina Edström vid KTH. Här följer information och tips som är relevanta än idag.Lärartricket i korthet Spend less time on things that don’t support student learning.Spend more time on things that do support student learning.Same or improved learning effe
https://www.intradesign.lth.se/forska-och-utbilda/grundutbildning/larartricket - 2026-07-09
Predicting live birth after the first IVF/ICSI treatment is challenging, as many factors may interact to affect IVF/ICSI outcomes. Adenomyosis is one factor that impacts live birth rates. Machine learning algorithms have been shown valuable for detecting complex dependencies and predicting outcomes in different clinical settings. We aimed to develop a prediction model for live birth after IVF/ICSI
