"Kirjailijoiden tapaus" Venäjällä vuonna 1997

In the autumn of 1997, Russian government was faced with media pressure when owners of the TV channels ORT and NTV joined forces against it. This study is based on media sources from October 1997 to December 1997. It shows clearly how the enormous power of the media was able to dictate what happened in Russia. In the mid-1990s Russians started to talk about political technology, which became a commonly used term by professionals, journalists, politicians and intelligence services. As a result of this action, two leading reformers in the government, Anatoliy Chubais and Boris Nemtsov, were dismissed from their highly influential posts as finance and energy ministers respectively, but retained their power as first deputy prime ministers. According to the correspondents, the real reason was to resolve a conflict within the parliament, which had demanded the dismissal of Mr. Chubais. This demand was presented after Chubais had accepted $90,000 as a reward for co-writing a book on privatization. Chubais was considered to be Russia’s “business card” towards the west – the"Authors’ case" (Delo avtorov) was only solved after President Boris Yeltsin took part in the public debate. According to the research, the media owned by powerful businessmen Boris Berezovsky and Vladimir Gusinski, was able to use its own security services to expose sensitive material (Russian term ‘kompromat’), if necessary, concerning any given person. The so-called Authors’ case can be considered as a part of the battle and the tip of the iceberg in arrangements designed to organize the funding of the Russian presidential election campaign in 2000. The reason why this particular incident was so widely covered on television was because several programs aimed to reveal to the public "hidden bribes" that, as they claimed, government officials had received. The political aspect, however, was quite mild, when the concrete issues of possible dismissals of Ministers were debated in the Parliament. Everything was dealt with as a “family matter” inside Kremlin. Yeltsin's "family" consisted of practically anybody from oligarch Berezovsky to Chubais, the father of Russia's privatization policy. Methods of critical history implementation analysis has been used in this research in determining the use of the source material. Literature and interviews have also provided a good base for the study. The study proves that any literature dealing with the subject has not paid enough attention to how the dismissal of Alexander Kazakov, deputy of President’s administration, was linked directly with Gazprom, the state gas monopoly. Kazakov had to leave Gazprom and lose his position as Chubais' ally when the influential ORT television company was deteriorated.

A Probabilistic Approach to the Primary Visual Cortex

What can the statistical structure of natural images teach us about the human brain? Even though the visual cortex is one of the most studied parts of the brain, surprisingly little is known about how exactly images are processed to leave us with a coherent percept of the world around us, so we can recognize a friend or drive on a crowded street without any effort. By constructing probabilistic models of natural images, the goal of this thesis is to understand the structure of the stimulus that is the raison d etre for the visual system. Following the hypothesis that the optimal processing has to be matched to the structure of that stimulus, we attempt to derive computational principles, features that the visual system should compute, and properties that cells in the visual system should have. Starting from machine learning techniques such as principal component analysis and independent component analysis we construct a variety of sta- tistical models to discover structure in natural images that can be linked to receptive field properties of neurons in primary visual cortex such as simple and complex cells. We show that by representing images with phase invariant, complex cell-like units, a better statistical description of the vi- sual environment is obtained than with linear simple cell units, and that complex cell pooling can be learned by estimating both layers of a two-layer model of natural images. We investigate how a simplified model of the processing in the retina, where adaptation and contrast normalization take place, is connected to the nat- ural stimulus statistics. Analyzing the effect that retinal gain control has on later cortical processing, we propose a novel method to perform gain control in a data-driven way. Finally we show how models like those pre- sented here can be extended to capture whole visual scenes rather than just small image patches. By using a Markov random field approach we can model images of arbitrary size, while still being able to estimate the model parameters from the data.

Hyperfine effects in the nuclear magnetic resonance of paramagnetic molecules

Paramagnetic, or open-shell, systems are often encountered in the context of metalloproteins, and they are also an essential part of molecular magnets. Nuclear magnetic resonance (NMR) spectroscopy is a powerful tool for chemical structure elucidation, but for paramagnetic molecules it is substantially more complicated than in the diamagnetic case. Before the present work, the theory of NMR of paramagnetic molecules was limited to spin-1/2 systems and it did not include relativistic corrections to the hyperfine effects. It also was not systematically expandable. --- The theory was first expanded by including hyperfine contributions up to the fourth power in the fine structure constant α. It was then reformulated and its scope widened to allow any spin state in any spatial symmetry. This involved including zero-field splitting effects. In both stages the theory was implemented into a separate analysis program. The different levels of theory were tested by demonstrative density functional calculations on molecules selected to showcase the relative strength of new NMR shielding terms. The theory was also tested in a joint experimental and computational effort to confirm assignment of 11 B signals. The new terms were found to be significant and comparable with the terms in the earlier levels of theory. The leading-order magnetic-field dependence of shielding in paramagnetic systems was formulated. The theory is now systematically expandable, allowing for higher-order field dependence and relativistic contributions. The prevailing experimental view of pseudocontact shift was found to be significantly incomplete, as it only includes specific geometric dependence, which is not present in most of the new terms introduced here. The computational uncertainty in density functional calculations of the Fermi contact hyperfine constant and zero-field splitting tensor sets a limit for quantitative prediction of paramagnetic shielding for now.