The aim of this study was to examine why young females develop self-harm behaviour. We also wanted to look at the differences between young females born in foreign countries and young females born in Sweden and investigate if there were any differences regarding the reasons for developing self-harm behaviour and the actual extent of the self-harm behaviour within the group. We used a qualitative method and performed interviews with nine professionals that work with young females with self-harm behaviour. To be able to analyse our qualitative interviews we used concepts such as modernity, anomie, safety and cultural differences in the bringing up of children. The results of this study shows that self-harm behaviour is a symptom of excessive anxiety, which can be caused by a number of reasons, such as childhood trauma or great demands in modern society.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

AbstractMy purpose with this study is to find out if it helps children who have diffuculties with their concentration if they get to practise their motor behaviour knowledge during their day at the school to promote their learning capacity. My purpose is also to find out how schools works with motor behaviour training. To get answers to my questions have I done interviews with four educationalists and I have also used books and internet sites. Motor behaviour is of importance to how children learn things in the school, without a well working motor children gets difficulties to sit still and to concentrate. The children may put their energy at the wrong things in the classroom, when the energy instead should be need to learning things.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

The buying decision process describes how the consumer makes a purchase decision through a rational process (Markin, 1979) and an understanding for how consumers make a purchase decision can according to Sands et al. (2010) be obtained by increased knowledge for the information search process (the second part of the buying decision process) before a purchase. Today?s society offers great opportunity to obtain information (Rahim & Clemens, 2012; Bawden & Robinson, 2009) and by that there are in other words good opportunities for a rational acting by the consumers. However, there are factors working against that consumers act rationally and seek information prior to their purchases primarily in the form of the concept of information overload (Bawden & Robinson, 2009) which claims that consumers are limited in their information search because there is too much information but also other factors such as lack of time (Wood & Neal, 2009) and ability to find information (Slegers et al.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.