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Instructions to students in connection to the start of the academic year 2020 2021

Instruktioner till studenter inför läsårsstarten 2020 Välkomna till Konsthögskolan i Malmö läsåret 2020/2021! Undervisning på campus och på distans Glädjande nog har vi nu möjlighet att återgå till campusförlagd undervisning på Konsthögskolan men eftersom Coronapandemin är långt ifrån över så är direktiven fortsatt distansundervisning i så stor utsträckning som möjligt. Sammanträden eller möten ko

https://www.khm.lu.se/sites/khm.lu.se/files/instructions_to_students_in_connection_to_the_start_of_the_academic_year_2020_2021.pdf - 2026-05-09

A Naturalistic Perspective on Knowledge How : Grasping Truths in a Practical Way

For quite some time, cognitive science has offered philosophy an opportunity to address central problems with an arsenal of relevant theories and empirical data. However, even among those naturalistically inclined, it has been hard to find a universally accepted way to do so. In this article, we offer a case study of how cognitive-science input can elucidate an epistemological issue that has cause

How an open and encouraging approach to customer complaints can reduce churn - An experimental study focused on customer interactions in SaaS companies followed a service failure

Purpose: This thesis mainly aims to investigate how an open and encouraging approach to customer complaints can affect churn in software as a service companies. This by examining how the approach affects the presentation of complaints, dissatisfaction, negative word-of-mouth and customers repurchase intention followed by a service failure. Methodology: The thesis applies a quantitative approach c

Prediction, Design and Determination of Protein Structures

The three-dimensional structure of protein is encoded in its amino acid sequence. Modern structure prediction algorithms make it possible to predict the structure of small proteins using sequence information alone. We used the Fold-and-Dock algorithm, which is part of the Rosetta macromolecular modeling suite, for de novo structure prediction of coiled-coil proteins. Members of this protein family