Unification of Emission Measurements in Paper and Pulp Mills

Tässä diplomityössä tavoitteena on selvittää käytännöt ja menetelmät, joilla UPM-Kymmenen sellu-, paperi- ja vaneritehtaat ympäri maailman mittaavat ja laskevat ilmapäästönsä. Tämä tehdään kyselylomakkeella, joka lähetetään tehtaiden ympäristöpäälliköille. Kaikki tärkeimmät seikat ilmapäästöihin liittyen, kuten vaaditut jatkuvatoimiset mittaukset, jaksottaiset mittaukset, raportointikäytäntö, kalibrointi jne. kysytään lomakkeessa. Kyselylomakkeessa painotetaan mittauskäytäntöä sellutehtaissa sekä energiantuotannossa. Saatujen tulosten perusteella annetaan ehdotuksia sekä ohjeita tulevaisuutta varten, jotta mittaustulosten kokoaminen helpottuisi ja vertailukelpoisuus paranisi. Työn kirjallisuusosuudessa selvitetään yleisimmät päästölähteet sekä päästökomponentit paperi –ja selluteollisuudessa. Näiden ei toivottujen yhdisteiden syntymekanismit sekä menetelmät niiden poistamiseksi savukaasuista on myös lyhyesti kuvailtu. Myös erilaiset analysointi- ja näytteenottomenetelmät on kerrottu. Erot tehtaiden ympäristöluvissa käydään läpi, jakaen tehtaat kolmeen maantieteelliseen ryhmään. Lupakäytäntöjen osalta Suomen osuutta on painotettu, sillä UPM-Kymmene on varsin Suomikeskeinen yhtiö tehtaiden lukumääriin ja sijainteihin katsottuna. Viranomaismääräykset sekä päästörajat muutamista tehtaista on esitetty havainnollistaakseen alueellisia eroja.

Delivery of European Cross-Border Health Care and the Relevance and Effects of EU Regulations and Judicial Processes with Reference to Delivery of Drugs and Blood Donor Information Material.

Valtion rajat ylittävät terveyspalvelut Euroopan unionissa sekä Euroopan unionin säädösten merkitys ja vaikutus erityisesti lääkejakeluun ja verenluovuttajille jaettavaan tiedotusaineistoon Valtion rajat ylittävä terveydenhuolto on suuren kiinnostuksen kohteena Euroopan unionissa. Resurssien hyödyntäminen parhaalla mahdollisella tavalla ja tiedon keskittäminen ovat tarpeen terveydenhuollon kustannusten alati noustessa. Terveydenhuoltopalvelut kuuluvat Euroopan sisämarkkinoiden vapaan liikkuvuuden piiriin. Euroopan unionilla ei ole kuitenkaan toimivaltaa säädellä terveydenhuoltojärjestelmiä, vaan sen mahdollisuudet ovat enimmäkseen kansanterveyden edistämisessä ja suojelussa, myös muilla toimialueilla kuin terveydenhuollossa. Tutkimuksen tavoitteena oli tutkia Euroopan unionin säädösten vaikutusta terveydenhuoltosektoriin, erityisesti valtion rajat ylittäviin terveydenhuoltopalveluihin. Erityiskohteena olivat lääkemääräyksen toimittaminen toisen Euroopan unionin jäsenmaan apteekista, resepti-lääkkeiden maahantuonti omaan henkilökohtaiseen käyttöön, sähköisen lääkemääräyksen käyttö kansallisesti ja mahdollisuudet sen käyttöön eri jäsenmaiden välillä, online-apteekkien soveltuvuus Euroopan unionin sisämarkkinoille sekä verenluovuttajille jaettavan tiedotusaineiston yhtenäistämistarve Euroopan unionin alueella. Tutkimuksen osa-alueiden aineisto koottiin vuosina 1999–2003, jolloin Euroopan unioniin kuului 15 jäsenmaata. Apteekit toimittivat useimmiten myös ei-kansalliset, toisessa Euroopan unionin jäsenmaassa annetut lääkemääräykset. Kaikki jäsenmaat rajoittivat lääkemääräyksen vaativien lääkkeiden maahantuontia. Rajoituksia oli maahantuontimäärissä ja -tavoissa. Lisäksi sairasvakuutuskorvausten saaminen ulkomailla lunastetuista reseptilääkkeistä oli hankalaa. Sähköiset lääkemääräykset olivat käytössä vain kahdessa maassa, mutta useissa maissa suunniteltiin niiden kokeilua. Standardit ja käyttöjärjestelmät olivat erilaisia eri maissa. Euroopan unionin alueelle on perustettu online-apteekkeja, joiden toiminta on kuitenkin vaatimatonta. Verenluovuttajille annettava tiedotusaineisto ei missään maassa täyttänyt veridirektiivin vaatimuksia. Tutkimuksen tulokset osoittivat kansallisten käytäntöjen eroavaisuuksien rajoittavan valtion rajat ylittäviä terveydenhuoltopalveluita. Vaikka Euroopan unionin tavoitteena ei ole yhtenäistää terveydenhuoltojärjestelmiä, on tarpeen arvioida uudelleen unionin ja jäsenmaiden välistä työnjakoa. Kansalliset terveydenhuoltojärjestelmät eivät ole erillään Euroopan sisämarkkinoista, jotka merkittävästi vaikuttavat terveydenhuoltoon.

Lossless Compression Methods for Multispectral Images: Development and Comparisons

Main purpose of this thesis is to introduce a new lossless compression algorithm for multispectral images. Proposed algorithm is based on reducing the band ordering problem to the problem of finding a minimum spanning tree in a weighted directed graph, where set of the graph vertices corresponds to multispectral image bands and the arcs’ weights have been computed using a newly invented adaptive linear prediction model. The adaptive prediction model is an extended unification of 2–and 4–neighbour pixel context linear prediction schemes. The algorithm provides individual prediction of each image band using the optimal prediction scheme, defined by the adaptive prediction model and the optimal predicting band suggested by minimum spanning tree. Its efficiency has been compared with respect to the best lossless compression algorithms for multispectral images. Three recently invented algorithms have been considered. Numerical results produced by these algorithms allow concluding that adaptive prediction based algorithm is the best one for lossless compression of multispectral images. Real multispectral data captured from an airplane have been used for the testing.

A Dependency Parsing Approach to Biomedical Text Mining

Biomedical research is currently facing a new type of challenge: an excess of information, both in terms of raw data from experiments and in the number of scientific publications describing their results. Mirroring the focus on data mining techniques to address the issues of structured data, there has recently been great interest in the development and application of text mining techniques to make more effective use of the knowledge contained in biomedical scientific publications, accessible only in the form of natural human language. This thesis describes research done in the broader scope of projects aiming to develop methods, tools and techniques for text mining tasks in general and for the biomedical domain in particular. The work described here involves more specifically the goal of extracting information from statements concerning relations of biomedical entities, such as protein-protein interactions. The approach taken is one using full parsing—syntactic analysis of the entire structure of sentences—and machine learning, aiming to develop reliable methods that can further be generalized to apply also to other domains. The five papers at the core of this thesis describe research on a number of distinct but related topics in text mining. In the first of these studies, we assessed the applicability of two popular general English parsers to biomedical text mining and, finding their performance limited, identified several specific challenges to accurate parsing of domain text. In a follow-up study focusing on parsing issues related to specialized domain terminology, we evaluated three lexical adaptation methods. We found that the accurate resolution of unknown words can considerably improve parsing performance and introduced a domain-adapted parser that reduced the error rate of theoriginal by 10% while also roughly halving parsing time. To establish the relative merits of parsers that differ in the applied formalisms and the representation given to their syntactic analyses, we have also developed evaluation methodology, considering different approaches to establishing comparable dependency-based evaluation results. We introduced a methodology for creating highly accurate conversions between different parse representations, demonstrating the feasibility of unification of idiverse syntactic schemes under a shared, application-oriented representation. In addition to allowing formalism-neutral evaluation, we argue that such unification can also increase the value of parsers for domain text mining. As a further step in this direction, we analysed the characteristics of publicly available biomedical corpora annotated for protein-protein interactions and created tools for converting them into a shared form, thus contributing also to the unification of text mining resources. The introduced unified corpora allowed us to perform a task-oriented comparative evaluation of biomedical text mining corpora. This evaluation established clear limits on the comparability of results for text mining methods evaluated on different resources, prompting further efforts toward standardization. To support this and other research, we have also designed and annotated BioInfer, the first domain corpus of its size combining annotation of syntax and biomedical entities with a detailed annotation of their relationships. The corpus represents a major design and development effort of the research group, with manual annotation that identifies over 6000 entities, 2500 relationships and 28,000 syntactic dependencies in 1100 sentences. In addition to combining these key annotations for a single set of sentences, BioInfer was also the first domain resource to introduce a representation of entity relations that is supported by ontologies and able to capture complex, structured relationships. Part I of this thesis presents a summary of this research in the broader context of a text mining system, and Part II contains reprints of the five included publications.

Return and volatility linkages between the S&P 500 and emerging stock markets in Eastern Europe

The aim of this thesis is to research mean return spillovers as well as volatility spillovers from the S&P 500 stock index in the USA to selected stock markets in the emerging economies in Eastern Europe between 2002 and 2014. The sample period has been divided into smaller subsamples, which enables taking different market conditions as well as the unification of the World’s capital markets during the financial crisis into account. Bivariate VAR(1) models are used to analyze the mean return spillovers while the volatility linkages are analyzed through the use of bivariate BEKK-GARCH(1,1) models. The results show both constant volatility pooling within the S&P 500 as well as some statistically significant spillovers of both return and volatility from the S&P 500 to the Eastern European emerging stock markets. Moreover, some of the results indicate that the volatility spillovers have increased as time has passed, indicating unification of global stock markets.

Growth strategies of international companies in the emerging markets of South-East Europe

Työn tarkoituksena oli tutkia niitä tekijöitä jotka ovat vaikuttaneet kansainvälisten yritysten myynnin kasvuun Romaniassa, Bulgariassa, Serbiassa ja Sloveniassa. Tutkimusta varten haastateltiin neljää kansainvälisen yrityksen edustajaa sekä 16 kansainvälisen kaupan ammattilaista. Työn akateemisena viitekehyksenä käytettiin keskeisiä kansainvälisen liiketoiminnan teorioita sekä myynnin strategista viitekehystä. Johtopäätöksenä katsotaan, että menestyvillä yrityksillä on selvä kansainvälistymis-strategia, kansainvälinen organisaatio, konsultoiva myyntityyli ja resursseja investoida koulutukseen. Tarkastelun alla olevista maista etenkin Romaniasta ja Bulgarista löytyy liiketoiminta potentiaalia. Tutkimuksen johtopäätökset perustuvat laadullisiin ja määrällisiin tutkimusmenetelmiin ja ne on tarkoitettu palvemaan Tikkurila Oy:tä. Tutkimustuloksia on myös mahdollista soveltaa laajemmin samanlaisessa tutkimusympäristössä, kunhan tutkittavan liiketoimintaympäristön erityispiirteet ovat otetttu huomioon

Interdependence of Emerging Eastern European stock markets

One of the main developments in the global economy during the past decades has been the growth of emerging economies. Projections for their long-term growth, changes in the investment climate, corporate transparency and demography point to an increasing role for these emerging economies in the global economy. Today, emerging economies are usually considered as financial markets offering opportunities for high returns, good risk diversification and improved return-to-risk ratios. However, researchers have noted that these advantages may be in decline because of the increasing market integration. Nevertheless, it is likely that certain financial markets and specific sectors will remain partially segmented and somewhat insulated from the global economy for the year to come. This doctoral dissertation investigates several stock markets in Emerging Eastern Europe (EEE), including the ones in Russia, Poland, Hungary, the Czech Republic, Bulgaria and Slovenia. The objective is to analyze the returns and financial risks in these emerging markets from international investor’s point of view. This study also examines the segmentation/integration of these financial markets and the possibilities to diversify and hedge financial risk. The dissertation is divided into two parts. The first includes a review of the theoretical background for the articles and a review of the literature on EEE stock markets. It includes an overview of the methodology and research design applied in the analysis and a summary of articles from the second part of this dissertation and their main findings. The second part consists of four research publications. This work contributes to studies on emerging stock markets in four ways. First, it adds to the body of research on the pricing of risk, providing new empirical evidence about partial stock market segmentation in EEE. The results suggest that the aggregate emerging market risk is a relevant driver for stock market returns and that this market risk can be used to price financial instruments and forecast their performance. Second, it contributes to the empirical research on the integration of stock markets, asset prices and exchange rates by identifying the relationships between these markets through volatility and asset pricing. The results show that certain sectors of stock markets in EEE are not as integrated as others. For example, the Polish consumer goods sector, the Hungarian telecommunications sector, and the Czech financial sector are somewhat isolated from their counterparts elsewhere in Europe. Nevertheless, an analysis of the impact of EU accession in 2004 on stock markets suggests that most of the EEE markets are becoming increasingly integrated with the global markets. Third, this thesis complements the scientific literature in the field of shock and volatility spillovers by examining the mechanism of spillover distribution among the EU and EEE countries. The results illustrate that spillovers in emerging markets are mostly from a foreign exchange to the stock markets. Moreover, the results show that the effects of external shocks on stock markets have increased after the enlargement of the EU in 2004. Finally, this study is unique because it analyzes the effects of foreign macroeconomic news on geographically closely related countries. The results suggest that the effects of macroeconomic announcements on volatility are significant and have effect that varies across markets and their sectors. Moreover, the results show that the foreign macroeconomic news releases, somewhat surprisingly, have a greater effect on the EEE markets than the local macroeconomic news. This dissertation has a number of implications for the industry and for practitioners. It analyses financial risk associated with investing in Emerging Eastern Europe. Investors may use this information to construct and optimize investment portfolios. Moreover, this dissertation provides insights for investors and portfolio managers considering asset allocation to protect value or obtain higher returns. The results have also implications for asset pricing and portfolio selection in light of macroeconomic news releases.