Findings in qualitative research are often wondrous and exciting, expounding new knowledge and perceptions previously unknown. Qualitative research requires the researcher to ponder and reflect on the data collected so as to find the meaning within. Helping researchers learn how to perform this step is not well discussed in the qualitative literature, yet this is one of the more crucial compone...

BACKGROUND Complex healthcare interventions consist of multiple components which may vary in trials conducted in different populations and contexts. Pooling evidence from trials in a systematic review is challenging because it is unclear which components are needed for effectiveness. The potential is recognised for using recipients' views to explore why some complex interventions are effective ...

BACKGROUND AND AIMS Among the subspecies of Petunia axillaris are various lines emitting sensorially different scents. Analysis of variations in floral scent among genetically close individuals is a powerful approach to understanding the mechanisms for generating scent diversity. METHODS Emitted and endogenous components were analysed independently to gain information about evaporation and en...

In this cross-sectional study, the qualitative and quantitative throwing performance of male and female athletes (6 to 16 years of age) was analyzed. The goal of this study was to assess whether there were gender based qualitative and quantitative differences in throwing performance of young athletes, throughout three different age bands (childhood, pubescence, and adolescence). Furthermore, we...

This paper proposes a qualitative representation for kinematic robots. First, qualitative geometric primitives are introduced by combining a qualitative orientation component and qualitative translation component using normalisation. A position in Cartesian space can be mathematically described by the scalable primitives. Secondly, the qualitative positions of the components of a robot are deri...

Traditionally, qualitative simulation uses a global, state-based representation to describe the behavior of the modeled system. For larger, more complex systems this representation proves extremely inefficient since it provides a complete temporal ordering of all potential distinctions leading to a large, complex behavioral description that obscures relevant distinctions, or even fails to termi...