I kläm mellan vision och verklighet - en etnografisk fallstudie av en webbredaktion

I avhandlingen analyseras arbetsprocesserna vid en webbredaktion. Undersökningen är en etnografisk fallstudie där Hufvudstadsbladets webbproduktion fungerar som case. Den övergripande frågeställningen är hur växelverkan mellan tidningsredaktionen och webbredaktionen fungerar och varför. Syftet var att hitta och synliggöra de underliggande spänningar i organisationen som bimedialiteten kan ha gett upphov till, och analysera produktionen mot bakgrund av tidigare forskning. Analysen behandlar tre områden som ofta återkommer i mediekonvergensforskningen, det vill säga organisation, innehåll och inställning. Forskningsmaterialet är insamlat med hjälp av observation, intervjuer och en e-postenkät. Arbetet på redaktionen observerades under sex arbetsskift. Webbreporterns arbete observerades, observationerna antecknades och efter varje arbetsskift bandades en intervju med webbreportern. Utöver dessa intervjuer gjordes ytterligare tre intervjuer med två nyhetschefer och chefredaktören. En e-postenkät med öppna frågor skickades ut till samtliga redaktionsmedlemmar. Avhandlingen tar avstamp i mediekonvergensforskning, redaktionsforskning och aktivitetsteori. Eftersom den teoretiska utgångspunkten delvis ligger inom aktivitetsteori och utvecklande arbetsforskning räknades samtidigt störningar i arbetsprocessen för att kunna identifiera underliggande spänningar i organisationen. Alla händelser som innebar ett längre eller kortare avbrott i arbetsprocessen antecknades och delades in i kategorier. Sammanlagt sextio störningar identifierades, varav den största andelen, en tredjedel, konstaterades bero på organisations- och kommunikationsfaktorer, främst till följd av bristfällig intern kommunikation. Slutsatserna är webbproduktionen till följd av heterogena objekt i aktivitetssystemet - oklara mål och oklarhet gällande webbens roll i organisationen sitter fast i klyftan mellan ledningens vision och verkligheten på redaktionen. Ett flertal motstridiga uppfattningar om webbproduktionens roll råder på redaktionen. Det leder till störningar i arbetsprocessen som i sin tur gör att produktionen haltar och inte utvecklas. Oklarheten kring målen leder till oklarhet kring konkret praxis, kommunikationssvårigheter, missförstånd och en sned arbetsfördelning, som samtliga inverkar på smidigheten i produktionen.

Vision based indoor positioning in a retail environment

Modern smart phones often come with a significant amount of computational power and an integrated digital camera making them an ideal platform for intelligents assistants. This work is restricted to retail environments, where users could be provided with for example navigational in- structions to desired products or information about special offers within their close proximity. This kind of applications usually require information about the user's current location in the domain environment, which in our case corresponds to a retail store. We propose a vision based positioning approach that recognizes products the user's mobile phone's camera is currently pointing at. The products are related to locations within the store, which enables us to locate the user by pointing the mobile phone's camera to a group of products. The first step of our method is to extract meaningful features from digital images. We use the Scale- Invariant Feature Transform SIFT algorithm, which extracts features that are highly distinctive in the sense that they can be correctly matched against a large database of features from many images. We collect a comprehensive set of images from all meaningful locations within our domain and extract the SIFT features from each of these images. As the SIFT features are of high dimensionality and thus comparing individual features is infeasible, we apply the Bags of Keypoints method which creates a generic representation, visual category, from all features extracted from images taken from a specific location. A category for an unseen image can be deduced by extracting the corresponding SIFT features and by choosing the category that best fits the extracted features. We have applied the proposed method within a Finnish supermarket. We consider grocery shelves as categories which is a sufficient level of accuracy to help users navigate or to provide useful information about nearby products. We achieve a 40% accuracy which is quite low for commercial applications while significantly outperforming the random guess baseline. Our results suggest that the accuracy of the classification could be increased with a deeper analysis on the domain and by combining existing positioning methods with ours.

Introduction of high-content screening method for studying drug-induced mitochondrial dysfunction in hepatocytes

Drug induced liver injury is one of the frequent reasons for the drug removal from the market. During the recent years there has been a pressure to develop more cost efficient, faster and easier ways to investigate drug-induced toxicity in order to recognize hepatotoxic drugs in the earlier phases of drug development. High Content Screening (HCS) instrument is an automated microscope equipped with image analysis software. It makes the image analysis faster and decreases the risk for an error caused by a person by analyzing the images always in the same way. Because the amount of drug and time needed in the analysis are smaller and multiple parameters can be analyzed from the same cells, the method should be more sensitive, effective and cheaper than the conventional assays in cytotoxicity testing. Liver cells are rich in mitochondria and many drugs target their toxicity to hepatocyte mitochondria. Mitochondria produce the majority of the ATP in the cell through oxidative phosphorylation. They maintain biochemical homeostasis in the cell and participate in cell death. Mitochondria is divided into two compartments by inner and outer mitochondrial membranes. The oxidative phosphorylation happens in the inner mitochondrial membrane. A part of the respiratory chain, a protein called cytochrome c, activates caspase cascades when released. This leads to apoptosis. The aim of this study was to implement, optimize and compare mitochondrial toxicity HCS assays in live cells and fixed cells in two cellular models: human HepG2 hepatoma cell line and rat primary hepatocytes. Three different hepato- and mitochondriatoxic drugs (staurosporine, rotenone and tolcapone) were used. Cells were treated with the drugs, incubated with the fluorescent probes and then the images were analyzed using Cellomics ArrayScan VTI reader. Finally the results obtained after optimizing methods were compared to each other and to the results of the conventional cytotoxicity assays, ATP and LDH measurements. After optimization the live cell method and rat primary hepatocytes were selected to be used in the experiments. Staurosporine was the most toxic of the three drugs and caused most damage to the cells most quickly. Rotenone was not that toxic, but the results were more reproducible and thus it would serve as a good positive control in the screening. Tolcapone was the least toxic. So far the conventional analysis of cytotoxicity worked better than the HCS methods. More optimization needs to be done to get the HCS method more sensitive. This was not possible in this study due to time limit.