Browsing by Author "Nilsson, Josefin"

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En jämförande studie mellan två våtrengöringsmetoder på papper
(2025-06-25) Nilsson, Josefin; University of Gothenburg/Department of Conservation; Göteborgs universitet/Institutionen för kulturvård
Amongst the published literature researching wet cleaning of paper there is a limited amount of studies conducted researching the method simmering water treatment. There are even less studies conducted on how simmering water affects the paper being treated when used as a cleaning method. Despite the limited research, there are literary reviews describing the method and suggesting it as an alternative for conservation of paper with iron-gall ink. The following study will therefore be examining, the somewhat unusual method, simmering water treatment, and comparing it to one of the more common wet cleaning methods: immersion washing. This is done to compare how the different temperatures of the water affect the paper. The types of paper used in this study consists of three dyed and four undyed papers. All of the papers are new, apart from one sample originating from 1847. The study aims to investigate how methods affect the dimension, the coulouring and opacity of the papers. To examine how these aspects of the paper change before and after washing, the following analytical methods are used; the dimensions of the papers are measured using a ruler, thickness gauge and scale: the colour of the papers is analysed with a colorimeter, which is done before and after the washing treatments: the water from the different baths is collected and analysed before and after completed treatments, using pH- and conductivity meters. The results from the study show that simmering water treatment and immersion washing affect the papers differently. The most apparent changes between the different methods, before and after washing, can be seen in the dimensions and the colour of the papers.
Maskininlärning för diagnosticering av perifer neuropati
(2019-07-02) Carlerös, Margareta; Malmqvist, Nina; Nilsson, Josefin; Skärberg, Fredrik; University of Gothenburg/Department of Mathematical Science; Göteborgs universitet/Institutionen för matematiska vetenskaper
This report investigates the possibility of diagnosing peripheral neuropathy with the help of non-parametic classification methods. Peripheral neuropathy is a disease state characterized by damage on the nerves furthest out in the nervous system, with symptoms first occuring in the feet. The data used in this project comes from Dr. William Kennedys research group at University of Minnesota. The data contains 401 observations of 120 healthy controls and 65 individuals with presumed peripheral neuropathy due to chemotherapy, (where 18 individuals have been confirmed having peripheral neuropathy through other examination procedures). The data is collected with a dynamic sweat test, a new diagnostic method to discover unusual sweating patterns and therefore also peripheral neuropathy. In this project we compare three different machine learning methods to classify subjects as sick (peripheral neuropathy) and healthy (no peripheral neuropathy): k-NN, random forest and neural networks. These methods differ in their complexity, all with their disadvantages and advantages. To evauluate which classification method that works the best a cross-validation was performed, with a modified version of Cohen’s kappa. How good these classification methods perform depends on which measuring area the data comes from, either foot, calf or foot and calf combined. The best classification method was shown to be random forest, this for the calf-measurements where the covarariates are chosen by backward stepwise selection. This method correctly classifies 67% of the sick individuals and 96% of the healthy controls. With the best model trained on foot-measurements most undetermined sick individuals are being classified as sick, while for the best model trained on calf-measurement most of the undetermined sick individuals are classified as healthy. This could hint towards that the symptoms of peripheral neuropathy first appears in the feet, something that is in line with the clinical reality.