Browsing by Author "Pakarinen, Olli"

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Hyvän työn koostumus: tapaustutkimus yksityisessä terveydenhuollon organisaatiossa
(2011) Pakarinen, Olli
School of Science | Master's thesis
Good Work is a model that consists of three separate components, Excellence, Engagement and Ethics. The theory contribution of the thesis consists of two separate parts, the first of which examines, what is said of each about the components within the Good Work framework, and the second what is said outside the framework. The empirical part examines how the components of Good Work are present in a private healthcare organization. The first theoretical part examines not only literature produced within the Good Work Project, but also literature preceding it written by the key figures of the Project. The second theory part examines the components of Good Work as presented in the literature outside the Good Work Project. This examination is explorative in nature. The empirical part of the thesis examines how the components of Good Work are present in certain private healthcare organization. Empirical data is mostly in qualitative form by most, although the material is also supplemented by data from a short work engagement questionnaire. According to the data analysed it is determined that the case organization is an exceptional example of an organization, in which Good Work is present as defined by the model. Based on this research it may be concluded, that the Good Work model is functional as it is presently defined. According to this research, no component of the model should be abandoned; neither there is a ground to add a new component to the model.
Positiivisten tunteiden vaikutus organisaation tuottavuuteen
(2007) Pakarinen, Olli
Bachelor's thesis
Scanning force microscopy simulations of nanoparticles on insulating surfaces
(2008-02-15) Pakarinen, Olli
Faculty of Information and Natural Sciences | Doctoral dissertation (article-based)
Scanning (atomic) force microscopy (SFM/AFM) is a surface science method capable of imaging surfaces with atomic resolution. SFM is a local probe method, closely related to other scanning probe microscopy methods like scanning tunneling microscopy (STM). Dynamic SFM studied in this thesis utilizes a very sharp tip at the end of an oscillating cantilever, and forms images of surfaces by measuring the tip-sample interaction while scanning very close (typically less than 1 nm) above the surface. Computational work is typically needed for interpretation of experimental SFM results, as the output of the instrument depends strongly on the atomic structure of the tip apex, unknown in most experiments. Simulations also open a window to view the atomic scale processes which determine the outcome of the experiment, and can show new ways to optimise the use of SFM. This dissertation presents computational simulations of scanning force microscopy, focusing on imaging nanoscale particles on insulating surfaces. Numerical methods to calculate the tip-sample interactions are developed. Simulations of atomic resolution contrast in SFM imaging are performed utilizing density functional theory as well as semiclassical methods. Larger scale simulations focusing on the tip convolution problem are made possible with the development of a numerical code calculating van der Waals interaction between arbitrarily shaped objects. The effect of humidity on particle-surface interaction is studied by development of another numerical code modeling the capillary forces. The described work generates new understanding of image formation in SFM, and of the change of behavior of capillary forces at the nanoscale. A new application to utilize the constant height mode of SFM to greatly diminish the tip convolution effect is presented, and its success is explained with simulations.