Our social lives and where we live shape our choices in life. One of those choices is which party we vote for in the general election. The aim of this thesis is to see if there are any connections between the Swedish general election of 2010, demography, socioeconomic factors and geography. This is done with regression analysis and chosen variables. Another aim is to see where in Sweden the chosen variables aren?t enough to explain the results of the election.

Previous research has shown that there is a relationship between trust and organizational commitment. Our research questions were if the three trust-variables ability, benevolence and integrity predict organizational commitment differently. Further we examined if the length of employment affected the relationship between benevolence and organizational commitment. Due to the fact that past studies has shown that benevolence develop during a longer period of time than do the other trust-variables. We made a survey using questionnaires (n=50) in a ?caretaking facility? and using a multiple regression analysis we found that ability was a significant predictor (p=0.032) for organizational commitment.

The problem presented in this report is that of finding a method to calculate the lift force from a single-element airfoil of arbitrary shape. A number of restrictions are used in order to simplify calculations while retaining reasonable accuracy. The problem is solved for the two-dimensional case only and no finite-wing effects are taken into account. Furthermore, inviscid and incompressible flow is assumed. The method used to solve the problem is the vortex panel method, with vortex singularities distributed over simplified airfoil geometry.

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.

Managing credit risk might be the single most important business area for any commercial bank. The assessment of "good" and "bad" corporate clients is a important task for a creditor. A bad debtor is a corporate client with hardships in meeting the continous claims (interest payments) that a creditor requires. One way of evaluating or separating a "bad" client from a "good" client is to assess the propensity for the client to file for bankruptcy. This thesis examines 226 firms in the Swedsh market in the quest of predicting corporate bankruptcy.

This master thesis is performed at Scania Axles and Gearboxes, a production plant located in Södertälje. Within the plant axles, gearboxes as well as central gears are assembled from components to finished products. All production is conducted on production lines, with a pre-determined rate, which is supplied with components by the material handling department. Since the production quantity and the mix of product variants produced on the production line is customer order-based, the number and type of components needed for production as well as appropriate staffing within the material handling department is difficult to predict. Scania is currently using a number of different resource planning tools for each material handling-department within Axles and Gearboxes to visualize the workload within the departments.

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.