Fraunhofer Chalmers Research Centre for Industrial Mathematics
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Sonder - A secular church investigating the role of materiality and tectonics in creating contemplative spaces
Matematisk modell för optimal kontroll av läkemedel i ett tumör-immunsystem
In this thesis, we consider a mathematical model, in the form of a system of ordinary
differential equations (ODEs), which describes the dynamics of a tumor-immune
system with chemotherapeutic as well as immunotherapeutic drugs. We develop an
optimization method for the solution of a parameter identification problem (PIP) for
the system of ODEs, in order to minimize the number of tumor cells as well as the
chemotherapeutic and immunotherapeutic drug administration. We formulate the
minimization problem for the Tikhonov regularization functional and for an objective
functional, which was considered by biomedical researchers in previous publications.
To minimize both functionals we use the Lagrangian approach and formulate the optimization
algorithm, which involves solution of the adjoint and forward problems. The
adjoint and forward problems are solved by using Newtons method, whose accuracy is
implemented and tested. The methods for the solution of the problem are also formulated,
verified and numerically tested in Matlab. The results give rise to a discussion
that verify the accuracy of Newtons method and present it as useful for future work.
Additionaly, the results show a need to improve the mathematical model in future
work since is shown to be deficient. Furthermore, differences and similarities between
the two functionals are discussed to determine which functional is preferable to use in
future studies. Finally, epidemiological findings are anaylzed based on our analytical
conclusions
Evaluation of Electric Bus Adoption in Sweden - An Interview Study of Four Swedish Cities and a Life-Cycle Cost Estimation
BORDERLINE BODIES - Integrating structural geometry within a resilient, architectural framework
Residential electricity- and water consumption: A study on actor commitment in consumption reduction
Residential housing consumes more than one third of Sweden’s electricity and in order to
minimise the reliance on fossil fuels, the real estate industry needs to decrease its consumption.
Therefore, the aim of this report is to investigate how residential electricity- and water
consumption can be reduced. The report analyses products’ and services’ potential in reducing
residential electricity- and water consumption as well as Gothenburg residents’ and housing
companies’ commitment in consumption reduction. A regression analysis was performed to
identify predicting variables and found that resident surface area, number of occupants and
heating type are significant predicting factors for electricity consumption. The effects of
individual metering and billing on water consumption was analysed and it was found to be a
viable initiative for one of the examined areas but for the other area it was only a solution in the
short term. It was also found that housing companies reduce consumption by performing
renovations and continuous maintenance on their properties and does not interfere with their
residents’ consumption behaviour. Residents do not know how much they consume, and
housing companies do generally not provide this information if electricity and water is included
in the rent. Residents’ initiatives to lower consumption are consequential but not intended and
their aspirations are not realised because of inconvenience. Previous research has highlighted
the role of price and income in consumption behaviour. These results show that consumption
behaviour is to a greater extent affected by information and feedback systems of consumption
data. Furthermore, gamified systems have the opportunity of providing real time data and
engaging users in consumption reduction with game mechanics