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2006 lades avhandlingen Safety culture in sea and Aviation transport fram vid Institutionen för Designvetenskaper vid Lunds tekniska högskola. Avhandlingsarbetet var framför allt en del av det LFV-finansierade HUFA-projektet (Human Factors in Air Navigation Services) vid Lunds universitet, samt en del av ett större sjösäkerhetsprojekt finansierat av bl.a. Sjöfartsverket och VINNOVA. Här följer en
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How do individuals feel and think themselves on themselves? Our actual multicultural world offer us a unique, natural experiment for a detailed study of this problematic. We will use the Meaning Constitution Analysis methodology for planification of research as it is: 1. Oriented towards meaning, as it is constituted in/by the individual in his daily life activities; 2. Oriented towards a gatherin
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This paper draws on two ethnographic research projects in Japanese university sports clubs to examine the role alcohol plays in the social and cultural education of students. Over the course of a four-year membership, the university sports club is a site where members learn to negotiate drinking. This negotiation is demonstrated by the range of strategies members employ when engaging in one of the
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introduction to a reader with texts by Hannah Arendt, selected by Gertrud Sandqvist
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Biografisk artikel om lundastudenten, biografägaren, läraren och astronomen Karl Oskar Krantz (1867-1933) med fokus på hans insats som filmpionjär inom genren karnevalsfilm.
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Anmälningar av diverse böcker
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This work considers the topology optimization of hyperelastic structures for maximum stiffness (minimum compliance) subject to constraints on their volume and maximum stress. In contrast to almost all previous works, we subject the structures to nonproportional loading, wherein the maximum stress does not necessarily occur at the final load step. As such, the stress is constrained at each load ste
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Aims: In the present study, we aimed to evaluate the performance of machine learning (ML) models for identification of acute myocardial infarction (AMI) or death within 30 days among emergency department (ED) chest pain patients. Methods and results: Using data from 9519 consecutive ED chest pain patients, we created ML models based on logistic regression or artificial neural networks. Model input