Background: Miscarriage is one of the most common complications connected to pregnancy, every fourth woman undergoes a miscarriage during her lifetime. There is often no medical explanation why miscarriage happens, although the risk may increase due to certain factors in lifestyle or diseases. During incomplete miscarriages medical or surgical treatment is needed.Women are treated at surgical or gynecological departments and the period of treatment is often very brief, on some occasions not even a day. Therefore, the nurse faces a great challenge in meeting the women?s needs during the period of treatment.Aim: The aim of the study is to illuminate womens experiences of miscarriage and the treatment they experienced.Methods: A systematic literary study containing 13 articles.Results: Miscarriage is an individual experience and many women are affected emotionally and have many strong feelings afterwards.

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.

Over a long period of time, there has been a rich debate in the academic and financial world if active management can generate an excess return. Many experts say that the current active management strategies is nothing more than a money grab that produces large gains, for banks and investment firms, through high management fees while producing no excess value for the individuals buying their service. In short, an effective market makes it almost impossible for fund managers to produce value for their clients in the long run.No argument has only one side though, other experts say that active management has a role to play because not all investors are rational. This irrationality can lead to mispricing on financial assets in the marketplace and in turn lead to an ineffective market where active management can fill a much needed role. The purpose of this study is therefore to see if active management strategies can create a higher risk adjusted return, taking management fees into consideration, during times of high volatility when the uncertainty is at its peak.

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.

The aim of this small thesis is to investigate if the probability of business failure is higher at the time of divestment than at the time of acquisition for portfolio companies that have been subject to private equity ownership. The background for this thesis is the widespread critique aimed at private equity firms, claiming that they increase the risk in their portfolio companies. We have performed a study of 53 buyout transactions, involving Swedish manufacturing companies, covering a time span of 13 years, from 1995 to 2007. We find evidence of an increased risk of business failure for the portfolio companies with a short forecasting horizon (within one year). The absolute increase in the sample is however small.

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.

Our report procedure identification of instability and disturbance in an automatic manufacturing line of processing and assembling of chair sliding rails at Sapas manufacturing department in Vetlanda.To obtain a stabile ground we have mapped the material flow to receive a comprehensive view and to visualise connections.We have examined cycle times at different stations in purpose to identificate bottlenecks. The result of our examination showed that the bottleneck of the line was the brush station. This leads to that the expected bottlenecks identificated by Sapa gets a delay time and by that a longer cycle time.Interruptions has a clear negative influence at the line performance so we have also assemble data through the operators report list and compiled these in order to find out the interruptions effect on the line. The outcome during our assembled period was that the reported interruptions corresponded about 30 percent of the total available production time. This has a clear negative effect on the line productivity and efficiency as we have calculated in order to get the present status..

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.

The aim of the study was to find repetitive behavioral patterns pre calving that could be used as indications of calving in beef cattle. In the study sixteen Standing- and lying down sensors were attached to the leg of sixteen beef cows. Ten of the sixteen beef cows gave birth to calves during the trial period. From these ten cows, data from six cows were used to assess the sensors fitness for use as calving indicators. The analytical part of the experiment was divided into two parts, calculation of divergence of mean lying time within different time intervals, and the number of lying bouts.The first part consisted of optimization of an equation used to highlight divergence in mean lying time within eight different time intervals (3, 6, 9, 12, 15, 18, 21 and 24 hours).