Mosquitoes are found in extremely large numbers in the lower parts of the River Dalälven. In the year 2000 the mosquito nuisance was especially high, resulting in foundation of the Biological mosquito control project. Since 2001 mosquito larvae are controlled by using a biological pesticide BTI (Bacillus thuringiensis ssp israelensis). The mosquito fauna in the area is dominated by flood water mosquitoes, a group of mosquitoes that are very aggressive and form new generations of mosquitoes during every single flooding event during the summer. To be able to efficiently control the mosquitoes it is essential to know the extension and locality of the flooding.

Följande arbete behandlar möjliga lösningar för hantering av SYN flooding, en Denial-of-Service-attack mot tjänster som använder TCP för kommunikation över datanätverk. Ett flertal olika skyddsmetoder, med varierande ansatser, identifieras, beskrivs och undersöks. Även möjligheter att kombinera dessa analyseras. Det visas att genom att implementera existerande skydd, samt kombinera flera av dessa begränsas hotet från SYN flooding avsevärt. Rekommendationer presenteras dessutom för hur organisationer bör gå tillväga för att säkra tjänster som riskerar att utsättas för SYN flooding-attacker genom att implementera skydd nära tjänsten först  samt  därefter ytterligare lager allt längre ut i nätverket..

The purpose of this study is to get an understanding about how municipalities in Sweden integrate climate-change into the social planning; especially the risk of flooding. To get a good picture of the planning process, background about the following are given; flooding, social planning and protective measures that can be taken against flooding. Three municipalities in the south of Sweden is studied; Halmstad, Vellinge and Kristianstad. They have in their work progressed differently and Kristianstad is the municipality that already has taken measures to protect themselves against flooding. The other two have only started to plan for the future threat.

We have made a suggestion for a map based search tool used with a database containinginformation on natural disasters. The database is being developed by NCO (SwedishCentre for Lessons Learned from Incidents & Accidents).We examined both Swedish and international examples of databases on naturaldisasters. The examples that we found were often hard to get the hang of, due to poorcompilation. The problem, that is typical of the international examples, is that the processof data collection is not standardized, as it is performed by different organizations andcompanies with diverse demands on and needs for the database. Therefore, to keep itsymmetrical, there ought to be only one department with the overall responsibility for anational database on natural disasters in Sweden.The natural disaster we based our study on was the flooding in Arvika in the year 2000.We inspected the availability of data about the flooding, and found it to be satisfying.Through contact with the municipality of Arvika, by mail and telephone, and a visit at theArvika municipality office, we acquired reports on the flooding and the joint rescueoperation that followed, and also GIS layers showing the extension of the flooding..

Följande arbete behandlar möjliga lösningar för hantering av SYN flooding, en Denial-of-Service-attack mot tjänster som använder TCP för kommunikation över datanätverk. Ett flertal olika skyddsmetoder, med varierande ansatser, identifieras, beskrivs och undersöks. Även möjligheter att kombinera dessa analyseras. Det visas att genom att implementera existerande skydd, samt kombinera flera av dessa begränsas hotet från SYN flooding avsevärt. Rekommendationer presenteras dessutom för hur organisationer bör gå tillväga för att säkra tjänster som riskerar att utsättas för SYN flooding-attacker genom att implementera skydd nära tjänsten först  samt  därefter ytterligare lager allt längre ut i nätverket..

Title: Predictions and explanation models for bankruptcy in stock-companies ? A study of three failed Swedish companies Author: Tim Svanberg Supervisor: Emil Numminen Department: School of Management, Blekinge Institute of technology Course: Bachelor?s thesis in business administration, 10 credits Purpose: The purpose of the thesis is to find explanation for bankruptcy with the help of prediction models. The purpose is also to add explanation by using Behavioral analysis Method: Quantitative research of bankruptcies using financial prediction models and qualitative study of psychological pitfalls. The study is deductive. Results: I found that it is possible to explain the bankruptcies using the prediction models.

This thesis investigates the overall risks of flooding over the Design Basis Flooding Level (DBFL) at the Swedish nuclear power plants (Oskarshamn, Ringhals and Forsmark), using statistical data and methods, but also considers historical events which might affect the overall risk of flooding at the specified sites.Considering the nuclear accident which happened in Fukushima in conjuction with the earthquake and tsunami which struck eastern Japan on 11 March 2011, operators and licensors of nuclear power plants all over the world conducted reviews and investigations on the overall risks posed to the plants from external events. One important such event is extreme water level.One part of the thesis includes an extreme value analysis (using Generalized Extreme Value distribution and Generalized Pareto distribution) of water level data from SMHI (Sweden's Meteorological and Hydrological Institute) measured at stations close to the Swedish nuclear power plants. The results of the statistical studies indicate that considering the return period used in the thesis (100 000 years), the water levels at the Swedish nuclear power plants are not expected to exceed DBFL.The other part of the thesis consists of a historical study of extreme weather-related events. The results of this study indicate that no historical events seem to have occured which would indicate a higher risk of flooding than the one suggested by the statistical study. .

Title: Predictions and explanation models for bankruptcy in stock-companies ? A study of three failed Swedish companies Author: Tim Svanberg Supervisor: Emil Numminen Department: School of Management, Blekinge Institute of technology Course: Bachelor?s thesis in business administration, 10 credits Purpose: The purpose of the thesis is to find explanation for bankruptcy with the help of prediction models. The purpose is also to add explanation by using Behavioral analysis Method: Quantitative research of bankruptcies using financial prediction models and qualitative study of psychological pitfalls. The study is deductive. Results: I found that it is possible to explain the bankruptcies using the prediction models. The behavioural perspective adds further explanation.

Vomb meadows is an area well knows for its rich bird life. During the 19:thcentury until mid 20:th century, the meadows were flooded annually in order toincrease the hay yield. The river Klingavälsån situated along the west side of themeadows, used to be a shallow river, meandering across the landscape. In the1940?s the river was straightened and made deeper.

Storm water management has become a more important matter as urban areas are expanding and natural areas are being exploited. As nature landscapes are being converted into hard surface areas storm water flow is affected both in terms of velocity and size. A flow increase can easily result in a flooding if the dimensions of the pipeline system are inadequate. Considering predicted upcoming climate changes, flooding?s may become more common in urban areas in the future.

A frequently asked question in real estate marketing is at what time of the year it is optimal to invest or sell. The aim of the project was to answer this question and to generate a prediction model over real estate located in the centre of Stockholm that takes seasons into account. With acquired sales statistics in Stockholm between 2010 and 2013 it was possible to perform a linear least square regression, also known as Ordinary Least Square (OLS), with describing qualities and season of sale as parameters. Statistical problems such as Multicollinearity and Heteroskedasticity have been taken into account when deriving the model. The result was a highly accurate prediction model indicating the profitability of investing in real estate during the summer and selling during the autumn..

This study examines if the prediction of cardiovascular disease in hypertensive patients can be improved upon when renal function and microalbuminuria are added to the classical risk factors The predictive capability of a model is measured by discrimination, calibration, reclassification and Harrell's C.The results are ambigious. In most cases, microalbuminuria should be included in the model, but the results regarding the other measures of renal function are varied. Therefore, the selection of risk factors to include in the model depends on which measure of prediction one prioritizes..

In today?s World is climate change an important and hot topic. Climate scenarios for Sweden show a warmer climate, especially during the autumn, winter and spring. The same climate scenarios also show that the precipitation will increase during this part of the year, however, during the summer the opposite is expected to occur. The purpose of this essay is to examine how future climate change will affect Stockholm especially the expected increase in precipitation, which may lead to a rising level of the Lake Mälaren. During 2000/2001 was Stockholm hit by a flood. This flood nearly resulted in major consequences and showed that there were significant risks for the city of Stockholm and increasing precipitation will result in even more water in the drainage systems of Lake Mälaren. The results presented here show that it is important to increase the drainage capacity of Lake Mälaren in order to reduce the risks of flooding in the central parts of Stockholm.

The purpose of the thesis has been to explore the use of hedge fund styles when constructing portfolios of hedge funds (i.e. funds of hedge funds). The central question is if the use of hedge fund styles can significantly explain and improve risk adjusted returns (characterized by Sharpe ratios). The study has been done in collaboration with Optimized Portfolio Management AB who desire further knowledge and evaluation of hedge fund styles for their fund of hedge funds.To be able to create successful ex ante portfolios we have explored various prediction models for both risk and return. Our findings indicate that return prediction is problematic using simple models such as regression since the risk exposure of the indices appear to change significantly over time.

The purpose of this bachelor-thesis is to investigate the possible effects of lease accounting on the estimation of bankruptcy. This is done by estimating the risk via prediction models based on accounting ratios for a sample of 43 listed firms in Sweden. Estimation is conducted twice for each firm, once base on unadjusted data as it is presented in the annual report of 2012, and one with data adjusted for operational leases (that is data is treated as if all leases present were to have been reported as financial leases). In the next step it is tested weather the predictive ability of the models is affected by this adjustment or not. For this purpose translation of bankruptcy risk into synthetic credit ratings via interest coverage ratios is done.