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Introduction: In the last decade Business intelligence became increasingly important for organizations to adopt in order to compete in highly changing industries. The main purpose of the business intelligence system is to enable users to make and execute decisions better and faster. However, the success of business intelligence is not guaranteed. Users are defined as one of the main sources of the
In Classical Athens, being at war was more common than peace. The military expenditures were correspondingly large. The main puzzle, however, is not financial, but where the Athenians found the multitude of rowers needed for their ships. It was not until the end of the Peloponnesian War that there were good reasons to use slaves as rowers. The Spartan occupation of Decelea in 413 BCE had profound
he requirement of flexibility in the modern industries demands robots that can be efficiently and quickly adapted to different tasks. A way to achieve such a flexible programming paradigm is to instruct robots with task goals and leave planning algorithms to deduct the correct sequence of actions to use in the specific context. A common approach is to connect the skills that realize a semantically
Aim: Grass-yellow butterflies (Eurema) are a group of pantropical Pieridae distributed throughout Asia, Australasia, Africa and the New World. However, little is known about their diversification, including the biogeographic mechanism(s) explaining their circumglobal distribution. We present the first densely sampled, time-calibrated phylogeny and biogeographic reconstruction of grass-yellows to c
This paper examines the relation between violent conflicts and democratization in Georgia. Since independence in 1991, Georgia has grown towards increased democratization but within the political transition, many obstacles, in form of violent conflicts and war have threatened the country. In the Democratization and War theory, Mansfield & Snyder argues that increased democracy increases the ri
Light/dark cycles play an essential role in people's performance, mood and daily rhythm. This study aimed to evaluate an early prototype of a personalised home lighting system including body-worn loggers. A convenience sample (N = 28) wore the devices for 23 h in the field and were given a demonstration of the lighting system components. Participants reported on questionnaires their acceptance of
This report discusses the implementation of machine learning algorithms for personalising question selection in a questionnaire-based self-report app for individuals suffering from mental health issues. A so-called \textit{Random Forest - Genetic Algorithm} (RFGA) hybrid prediction method is used to find an optimal set of relevant questions to pose to new users in the app. A complementary ad-hoc p
