Metsäteollisuuden lentotuhkien laadun vaikutus hyötykäyttösovellutuksiin

Työn tavoitteena oli kartoittaa metsäteollisuuden tuotantolaitoksissa syntyvän lentotuhkan laadun vaikutusta hyötykäyttökohteisiin. Hyötykäyttökohteista tarkasteltiin tuhkien soveltumista maarakentamiseen, päällystettyyn- ja peitettyyn rakenteeseen, pelto- ja puutarhakäyttöön, maisemointiin ja viherrakentamiseen sekä metsäkäyttöön. Tuhka-analyysien tietojen perusteella tuhkalle määritettiin mahdollinen hyötykäyttökohde verrattaessa niitä lainsäädännönasettamiin raja-arvoihin jokaisessa hyötykäyttökohteessa. Lisäksi tarkasteltiinmahdollisia esteitä tuhkan käytölle tietyissä hyötykäyttökohteissa sekä pyrittiin saamaan tuhkalle järkevämpi loppusijoituspaikka kuin kaatopaikka. Kirjallisuusosaan on koottu metsäteollisuudessa käytössä olevat polttomenetelmät sekä poltettavat raaka-aineet. Eri polttojakeiden tuhkien koostumuksista on tehty yhteenveto kirjallisuudesta löytyvien tietojen perusteella. Lisäksi kirjallisuusosassa on esitetty lentotuhkan fraktiointimenetelmiä sekä eri hyötykäyttökohteet ja niiden vaatimukset lentotuhkalta. Kokeellisessa osassa on vertailtu olemassa olevien tuhkanäytteiden haitta-aineiden pitoisuuksia eri hyötykäyttökohteiden vaadittuihin raja-arvoihin. Tähän työhön valittiin viisi eri metsäteollisuuden tuotantolaitosta Suomesta ja niille jokaiselle pyrittiin löytämään parhaiten soveltuva loppukäyttö. Metsäteollisuuden tuotantolaitoksilla poltetaan useita eri polttojakeita. Lisäksi polttoainekoostumus ja -määrä vaihtelevat vuositasolla. Tämä vaikuttaa tuhkan laatuun ja vaikeuttaa tuhkan hyödyntämistä eri hyötykäyttökohteissa. Jokaiselle tuhkan eri hyötykäyttökohteelle on säädetty omat raja-arvonsa, joka rajoittaa tuhkan hyötykäyttöä. Tällä hetkellä tuhkaa hyödynnetään eniten metsälannoitteena, jolloin puuaineksen mukana poistuneet ravinteet saadaan palautettua takaisin luontoon. Myös tuhkan hyödyntäminen maarakentamisessa on järkevää, koska silloin korvataan maa-ainesta tuhkalla ja vältytään kaatopaikkasijoittamiselta. Yleisesti pelto- ja puutarhakäyttöä ajatellen raja-arvot ovat liian tiukat metsäteollisuuden lentotuhkalle.

Aurinkosähköjärjestelmien vieminen Afrikan kehittyviin maihin

Aurinkosähköjärjestelmien käyttäminen sähkön tuotannossa on kasvanut viime vuosina teknologian hinnan laskun ja tiukentuvien ympäristömääräyksien seurauksena. Monet aurinkosähköön keskittyvät yritykset etsivät uusia markkinoita Afrikan kehittyvistä maista. Aurinkosähkön avulla voidaan vastata kehittyvien maiden kasvavaan sähköntarpeeseen ja samalla vähentää maiden hiilidioksidipäästöjä sekä nostaa maiden kehittyvää elintasoa. Tässä työssä tutkitaan aurinkosähköjärjestelmien viemistä kahteen Afrikan kehittyvään maahan Tansaniaan ja Etelä-Afrikkaan. Työn tavoitteena on kohdemaiden liiketoimintaympäristöjen tutkiminen ja markkinapotentiaalin selvittäminen suomalaisen sähkö- ja automaatiotekniikkaan keskittyvän pk-yrityksen näkökulmasta. Työssä selvitetään Tansanian ja Etelä-Afrikan liiketoimintaympäristöjen ja aurinkosähkömarkkinoiden erityispiirteet. Tuloksissa käsitellään myös sopivinta kansainvälistymistapaa tutkitulle pk-yritykselle sekä haasteita, joita yritys kohtaa Afrikan markkinoilla. Kansainvälistymismalleista tutkimuksessa käsitellään Uppsala-mallia ja verkostomallia.

Sähköavusteisen polkupyörän energian talteenotto lineaarigeneraattorilla

Sähköavusteisten polkupyörien määrä on kasvussa. Kasvua hidastavana tekijänä voidaan pitää niiden keskimäärin yli 1000 euron hintaa, josta suurin osa johtuu akustosta. Tämän työn tarkoituksena on selvittää lineaarigeneraattorin hyödynnettävyyttä sähköavusteisissa polkupyörissä. Lisäksi työssä kuvataan vaiheittain prototyypin suunnittelu ja rakentaminen. Mikäli lineaarigeneraattori-avusteisella sähköpolkupyörällä saavutetaan huomattava pidennys toimintamatkaan, voidaan pyörät varustaa halvemmilla ja kapasiteetiltään pienemmillä akuilla. Lineaarigeneraattorin hankintaa kannustaisi se, että se maksaisi vähemmän kuin vaihto suurempikapasiteettiseen akustoon.

Multidata inverse problems and Bayesian solution methods in astronomy

Statistical analyses of measurements that can be described by statistical models are of essence in astronomy and in scientific inquiry in general. The sensitivity of such analyses, modelling approaches, and the consequent predictions, is sometimes highly dependent on the exact techniques applied, and improvements therein can result in significantly better understanding of the observed system of interest. Particularly, optimising the sensitivity of statistical techniques in detecting the faint signatures of low-mass planets orbiting the nearby stars is, together with improvements in instrumentation, essential in estimating the properties of the population of such planets, and in the race to detect Earth-analogs, i.e. planets that could support liquid water and, perhaps, life on their surfaces. We review the developments in Bayesian statistical techniques applicable to detections planets orbiting nearby stars and astronomical data analysis problems in general. We also discuss these techniques and demonstrate their usefulness by using various examples and detailed descriptions of the respective mathematics involved. We demonstrate the practical aspects of Bayesian statistical techniques by describing several algorithms and numerical techniques, as well as theoretical constructions, in the estimation of model parameters and in hypothesis testing. We also apply these algorithms to Doppler measurements of nearby stars to show how they can be used in practice to obtain as much information from the noisy data as possible. Bayesian statistical techniques are powerful tools in analysing and interpreting noisy data and should be preferred in practice whenever computational limitations are not too restrictive.

Ring Dark Solitons in Toroidal Bose-Einstein Condensates

In this Thesis, we study various aspects of ring dark solitons (RDSs) in quasi-two-dimensional toroidally trapped Bose-Einstein condensates, focussing on atomic realisations thereof. Unlike the well-known planar dark solitons, exact analytic expressions for RDSs are not known. We address this problem by presenting exact localized soliton-like solutions to the radial Gross-Pitaevskii equation. To date, RDSs have not been experimentally observed in cold atomic gases, either. To this end, we propose two protocols for their creation in experiments. It is also currently well known that in dimensions higher than one, (ring) dark solitons are susceptible, in general, to an irreversible decay into vortex-antivortex pairs through the snake instability. We show that the snake instability is caused by an unbalanced quantum pressure across the soliton's notch, linking the instability to the Bogoliubov-de Gennes spectrum. In particular, if the angular symmetry is maintained (or the toroidal trapping is restrictive enough), we show that the RDS is stable (long-lived with a lifetime of order seconds) in two dimensions. Furthermore, when the decay does take place, we show that the snake instability can in fact be reversible, and predict a previously unknown revival phenomenon for the original (many-)RDS system: the soliton structure is recovered and all the point-phase singularities (i.e. vortices) disappear. Eventually, however, the decay leads to an example of quantum turbulence; a quantum example of the laminar-to-turbulent type of transition.

Nordic alcohol policy in Europe: the adaptation of Finland’s, Sweden’s and Norway’s alcohol policies to a new policy framework, 1994-2013

The purpose of this thesis is to study how and to which extent Finland, Sweden and Norway have adapted their alcohol policies to the framework imposed to them by the EU and the European Economic Area (EEA) since the mid-1990s. This is done by studying the underlying mechanisms that have influenced the formation of alcohol policy in the Nordic countries in that period. As a part of this analysis main differences in alcohol policies and alcohol consumption between the three countries are assessed and the phenomenon of cross-border trade with alcohol is discussed. The study examines also the development of Finnish, Norwegian and Swedish alcohol policies between 1994 and 2012 and compares the Nordic alcohol policies with other alcohol policies in Europe as the situation was in 2012. The time frame of the study spans from the mid-1990s to the end of 2013 and is divided into three phases. Studying the role of the Europeanisation process on the formation of alcohol policies has a key role in the analysis. Besides alcohol policies, the analyses comprise the development of alcohol consumption and cross-border trade with alcohol. In addition, a quantitative scale constructed to measure the strictness of alcohol policies is utilised in the analyses. The results from the scale are used to substantiate the qualitative analysis and to test whether the stereotypical view of a strict Nordic alcohol policy is still true. The results from the study clearly corroborate earlier findings on the significance of Europeanisation and the Single Market for the development of alcohol policies in the Nordic countries. Free movement of goods and unhindered competition have challenged the principle of disinterest and enabled private profit seeking in alcohol trade. The Single Market has also contributed to the increase in availability of alcohol and made it more difficult for the Nordic EU member states to maintain restrictive alcohol policies. All in all, alcohol policies in the Nordic countries are more liberal in 2013 than they were in 1994. Norway, being outside the EU has, however, managed to maintain a stricter alcohol policy than Finland and Sweden. Norway has also been spared from several EU directives that have affected Finland and Sweden, the most remarkable being the abolishment of the travellers’ import quotas for alcohol within the EU. Due to its position as a non-EU country Norway has been able to maintain high alcohol taxes without being subjected to a ”race to the bottom” regarding alcohol taxes the same way as Finland and Sweden. Finland distinguishes as the country that has liberalised its alcohol policy most during the study period. The changes in alcohol policies were not only induced by Europeanisation and the Single Market, but also by autonomous decision-making and political processes in the individual countries. Furthermore, the study shows that alcohol policy measures are implemented more widely in Europe than before and that there is a slow process of convergence going on regarding alcohol policy in Europe. Despite this, alcohol policies in the Nordic countries are still by far the strictest in all of Europe. From a Europeanisation perspective, the Nordic countries were clearly on the receiving end during the first two study phases (1994–2007), having more to adjust to rules from the EU and the Single Market than having success in uploading and shaping alcohol policy on the European and international field. During the third and final study phase (2008–2013), however, the Nordic countries have increasingly succeeded in contributing to shape the alcohol policy arena in the EU and also more widely through the WHOs global alcohol strategy. The restrictive Nordic policy tradition on which the current alcohol policies in Finland, Sweden and Norway were built on has still quite a solid evidence base. Although the basis of the restrictive alcohol policy has crumbled somewhat during the past twenty years and the policies have become less effective, nothing prevents it from being the base for alcohol policy in the Nordic countries even in the long term. In the future, all that is needed for an effective and successful alcohol policy is a solid evidence base, enough political will and support from the general public.

The Forecast Performance of Model-Free Implied Volatility: Evidence from DAX Index Options

Volatility has a central role in various theoretical and practical applications in financial markets. These include the applications related to portfolio theory, derivatives pricing and financial risk management. Both theoretical and practical applications require good estimates and forecasts for the asset return volatility. The goal of this study is to examine the forecast performance of one of the more recent volatility measures, model-free implied volatility. Model-free implied volatility is extracted from the prices in the option markets, and it aims to provide an unbiased estimate for the market’s expectation on the future level of volatility. Since it is extracted from the option prices, model-free implied volatility should contain all the relevant information that the market participants have. Moreover, model-free implied volatility requires less restrictive assumptions than the commonly used Black-Scholes implied volatility, which means that it should be less biased estimate for the market’s expectations. Therefore, it should also be a better forecast for the future volatility. The forecast performance of model-free implied volatility is evaluated by comparing it to the forecast performance of Black-Scholes implied volatility and GARCH(1,1) forecast. Weekly forecasts for six years period were calculated for the forecasted variable, German stock market index DAX. The data consisted of price observations for DAX index options. The forecast performance was measured using econometric methods, which aimed to capture the biasedness, accuracy and the information content of the forecasts. The results of the study suggest that the forecast performance of model-free implied volatility is superior to forecast performance of GARCH(1,1) forecast. However, the results also suggest that the forecast performance of model-free implied volatility is not as good as the forecast performance of Black-Scholes implied volatility, which is against the hypotheses based on theory. The results of this study are consistent with the majority of prior research on the subject.

Pretraining Convolutional Neural Networks for Visual Recognition

Convolutional Neural Networks (CNN) have become the state-of-the-art methods on many large scale visual recognition tasks. For a lot of practical applications, CNN architectures have a restrictive requirement: A huge amount of labeled data are needed for training. The idea of generative pretraining is to obtain initial weights of the network by training the network in a completely unsupervised way and then fine-tune the weights for the task at hand using supervised learning. In this thesis, a general introduction to Deep Neural Networks and algorithms are given and these methods are applied to classification tasks of handwritten digits and natural images for developing unsupervised feature learning. The goal of this thesis is to find out if the effect of pretraining is damped by recent practical advances in optimization and regularization of CNN. The experimental results show that pretraining is still a substantial regularizer, however, not a necessary step in training Convolutional Neural Networks with rectified activations. On handwritten digits, the proposed pretraining model achieved a classification accuracy comparable to the state-of-the-art methods.

Adherence to Treatment in Psychotic Disorders - Development of user-centered mobile health intervention

The aim of this study was to explore adherence to treatment among people with psychotic disorders through the development of user-centered mobile technology (mHealth) intervention. More specifically, this study investigates treatment adherence as well as mHealth intervention and the factors related to its possible usability. The data were collected from 2010 to 2013. First, patients’ and professionals’ perceptions of adherence management and restrictive factors of adherence were described (n = 61). Second, objectives and methods of the intervention were defined based on focus group interviews and previously used methods. Third, views of patients and professionals about barriers and requirements of the intervention were described (n = 61). Fourth, mHealth intervention was evaluated based on a literature review (n = 2) and patients preferences regarding the intervention (n = 562). Adherence management required support in everyday activities, social networks and maintaining a positive outlook. The factors restricting adherence were related to illness, behavior and the environment. The objective of the intervention was to support the intention to follow the treatment guidelines and recommendations with mHealth technology. The barriers and requirements for the use of the mHealth were related to technology, organizational issues and the users themselves. During the course of the intervention, 33 (6%) out of 562 participants wanted to edit the content, timing or amount of the mHealth tool, and 23 (4%) quit the intervention or study before its conclusion. According to the review, mHealth interventions were ineffective in promoting adherence. Prior to the intervention, participants perceived that adherence could be supported, and the use of mHealth as a part of treatment was seen as an acceptable and efficient method for doing so. In conclusion, the use of mHealth may be feasible among people with psychotic disorders. However, clear evidence for its effectiveness in regards to adherence is still currently inconclusive.

Pairs trading profitability in the Finnish stock market: A comparison between three methods

Pairs trading is an algorithmic trading strategy that is based on the historical co-movement of two separate assets and trades are executed on the basis of degree of relative mispricing. The purpose of this study is to explore one new and alternative copula-based method for pairs trading. The objective is to find out whether the copula method generates more trading opportunities and higher profits than the more traditional distance and cointegration methods applied extensively in previous empirical studies. Methods are compared by selecting top five pairs from stocks of the large and medium-sized companies in the Finnish stock market. The research period includes years 2006-2015. All the methods are proven to be profitable and the Finnish stock market suitable for pairs trading. However, copula method doesn’t generate more trading opportunities or higher profits than the other methods. It seems that the limitations of the more traditional methods are not too restrictive for this particular sample data.